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536,100,100 | 2020-04-22 | 71,903,956 | N | The invention discloses a method for reversibly regulating and controlling the conductivity of a memristor by using an optical signal. The memristor comprises a bottom electrode layer, a top electrodelayer and an intermediate dielectric layer located between the bottom electrode layer and the top electrode layer. The method comprises: inputting an optical signal through the bottom electrode layeror the top electrode layer, and the method comprises an optical write-in mode for improving the conductivity of the memristor and an optical erase mode for reducing the conductivity of the memristor.In the light writing mode, the light signal is ultraviolet light, visible light or infrared light; in the light erasing mode, the light signal is visible light or infrared light. According to the invention, the pulse time-dependent plasticity of the biological synapse is successfully simulated in an all-optical mode. Compared with traditional electric signal regulation and control, an optical signal has ultrahigh speed and excellent parallelism, continuous reversible regulation is carried out on the memristor conductivity by utilizing an all-optical signal, and the advantages of photonics andelectronics can be well combined together. The memristor regulation and control method provided by the invention has a wide application prospect in the fields of photoelectric calculation and artificial vision. | en | Method for reversibly regulating and controlling conductivity of memristor by using optical signal | 61642314_ | 60714570_,60497417_ | H01L 45/1206,H01L 45/1213,H01L 45/14 | [
"H01L 45/00"
] | 143,459 |
53,373,931 | 1991-10-10 | 27,324,341 | Y | A pattern recognition system includes at least one pair of basic associative units each having at least first and second unit ports for receiving pattern signal groups, respectively and a third unit port for outputting a pattern signal group. The pattern recognition system has characteristics of the type of pattern recognition carried out by living organisms. Each of the basic units operates to derive weighting values for respective signals of the pattern signal groups inputted to the first and second unit ports of the basic unit itself in accordance with the degree of consistency between a previously given weighting pattern and respective patterns specified by the pattern signal groups inputted to the first and second unit ports of the basic unit itself. Each of the basic units also operates to modulate the respective signals of the pattern signal groups inputted to the first and second unit ports of the basic unit in accordance with the derived weighting values and to totalize the modulated signals so as to form an output signal outputted form the third unit port of the basic unit itself. The third unit port of one of the basic unit pair is coupled to the first unit port of the other basic unit, and the third unit port of the other basic unit is coupled to the second unit port of the one basic unit. Thus, the third unit port of one of the basic unit pair gives an recognition output. | en | Multi-layer neural network modelled after the striate cortex for recognizing visual patterns | 5268898_JP | 5236181_JP,9901809_DE,9901810_JP,5290691_JP | G06N 3/04,G06V 30/194 | [
"G06K 9/66",
"G06N 3/04"
] | 45,919 |
525,482,466 | 2019-10-17 | 69,201,224 | Y | The invention relates to an underwater information anti-interference method based on compressed sensing and Renyi entropy, and belongs to the technical field of underwater analog information conversion and compressed sensing. The method comprises the following steps: 1) reading underwater acquired information, calculating the Renyi entropy of each row, solving the row corresponding to the maximumvalue, and calculating the pixel maximum value of the row as the Renyi entropy threshold T1; 2) filtering by taking W * W as a unit based on T1; 3) carrying out discrete two-dimensional wavelet transform; 4) calculating Renyi entropy denoising thresholds of the high-frequency coefficients according to rows, and then denoising the high-frequency coefficients; 5) constructing a Gaussian random observation matrix to perform compressed observation on the denoised high-frequency coefficient; 6) performing AMP reconstruction on all the filtered high-frequency coefficients; and 7), performing waveletinverse transform on the low-frequency sub-coefficient and the reconstructed high-frequency sub-coefficient for obtaining recovered underwawter acquired information; according to the method, part ofnoise can be filtered out, the peak signal-to-noise ratio of the denoised underwater acquired image is effectively improved, and the average structural similarity of the denoised underwater image is optimized. | en | Underwater information anti-interference method based on compressed sensing and Renyi entropy | 58644572_ | 59551542_,60486614_,62978513_,61119726_ | G06T 5/003,G06T 9/00 | [
"G06T 5/00",
"G06T 9/00"
] | 136,582 |
408,923,611 | 2010-05-03 | 43,298,249 | Y | FIELD: medicine.SUBSTANCE: group of inventions refers to medical equipment, namely to systems and methods for nuclear medical visualisation. A system for nuclear medical visualisation, which uses radiation detector units with pixel scintillation crystals, comprises a dissipation detector configured to detect and mark the detected dissipated and non-dissipated radiation events stored in the list mode. Coincident pairs of both dissipated and non-dissipated radiation events are detected and respective lines of response (LOR) are determined. Using the lines of response (LOR) corresponding to both dissipated, and detected non-dissipated radiation events can recover the first presentation of the image of the analysed region to form the low-definition image possessing the good statistic characteristics in relation to noise. A second high-definition image of the whole examination region or its partial volume can be reproduced with the use of the lines of response respective to the detected non-dissipated radiation events. An assessment processor is configured to recover at least one value, e.g. volume, count rate, standardised uptake value (SUV), etc. from at least the low-definition image, the high-definition image or the combined image.EFFECT: suing the invention enables increasing the image definition, reducing the superposition effect and increasing the signal/noise relation.22 cl, 3 dwg | en | PET-DETECTOR ASSEMBLY WITH IMPROVED ASSESSMENT CHARACTERISTICS | 67599185_NL | 64262086_NL,69688721_NL | A61B 6/037,G01T 1/2018,G01T 1/249,G01T 1/2985 | [
"A61B 6/03",
"A61B 8/15",
"A61B 6/02"
] | 81,104 |
446,526,946 | 2014-09-05 | 51,369,042 | N | A feature grouping normalization method for cognitive state recognition, which relates to the feature normalization problem in the field of pattern recognition. The method comprises the steps of: (1) performing feature data grouping; (2) optionally selecting a normalization function, and calculating parameters of normalization functions corresponding to all groups; (3) constructing a grouping normalization function, substituting the parameters of the normalization functions corresponding to all the groups into the functions of the groups, and obtaining normalization mapping relations of all the groups; and (4) performing grouping normalization processing, using the corresponding normalization function to perform feature data conversion for each group, and ending feature normalization. According to an overall feature normalization method, only the diversity problem of data distribution among features can be solved, and the problem of the overlarge distribution difference of feature internal data cannot be solved. According to the grouping normalization method provided in the present invention, the advantage of the overall feature normalization method is maintained, the problem of the overlarge distribution scale in the feature data is solved, and the classification accuracy is improved. The feature grouping normalization method provided in the present invention has strong robustness. | en | FEATURE GROUPING NORMALIZATION METHOD FOR COGNITIVE STATE RECOGNITION | 63552382_CN | 66834646_CN,63717548_CN,69042403_CN,63733157_CN | A61B 5/163,A61B 5/165,A61B 5/7264,G06K 9/00523,G06K 9/6232,G06K 9/6269,G06V 10/32,G06V 40/193 | [
"G06K 9/00"
] | 97,370 |
490,579,784 | 2015-04-17 | 50,628,737 | N | There is a need for a humanoid robot capable of living an “autonomous life”, as a human being does, who is capable of behaving in a determined manner, depending on the environment he is evolving in. Described is a solution that aims to overcome the limitations of known robots by providing a robot that is capable of determining autonomously sequences of its life adapted to the context it is evolving in, without any intervention of a programmer. A humanoid robot and a method for controlling a humanoid robot are described where the humanoid robot has at least a memory connected to a processing capability for retrieving and storing activities for execution by the robot, an activity composed of a pair of a pre-programmed behavior of the robot and a manifest file with launch conditions of said behavior. Extractors of image, sound, touch and inertial signals are characterized by one or more of a situation, an event and an interaction with a human being in a scene surrounding the robot. The humanoid robot also has actuators of one or more action of a light signal, displayed information, a sound, a speech, a movement, said one or more action belonging to a behavior. The humanoid robot further has a mind module for automatically creating a prioritized list of activities, selecting at least one activity in the prioritized list and commanding execution of said activity to one or more actuators. | en | Humanoid robot with an autonomous life capability | 53953284_ | 12512537_,55150921_,56331602_ | B25J 9/0006,B25J 9/163,B25J 9/1661,B25J 9/1679,B25J 11/0005,G05B2219/39254,G05B2219/40202,G05D 1/0088,G06N 3/008 | [
"B25J 11/00",
"B25J 9/16"
] | 115,676 |
50,557,907 | 1999-09-14 | 22,283,667 | Y | A method for reconstructing surfaces and analyzing surface and volume representations of the shape of an object or structure corresponding to image data, in which the structure has been modeled as one or more physically distinct compartments. The characteristics of a compartmental model are specified in terms of the material types contained in each distinct compartment and in terms of the nature of compartmental boundaries as defined by the image data. An image model that includes scalar or vector image intensity functions for each material type and for each boundary type defined by the image data is specified. Gradient functions that characterize each boundary type and some compartmental regions are specified. A set of probabilistic volume representations of the location of different compartments and the location and orientation of compartmental boundaries is generated. A combination of these probabilistic representations is used to generate a segmented volume and explicit surface reconstructions representing the shape of the structure of interest. If the structure of interest has an open rather than closed topology and if it adjoins additional structures along its natural perimeter, a method is specified for identifying the adjoining structures using a combination of logical operations and shape-changing operations applied to appropriately selected intermediate segmented volumes. | en | Sure-fit: an automated method for modeling the shape of cerebral cortex and other complex structures using customized filters and transformations | 5240909_US | 7931139_US,7931138_US,7931137_US | G06T 17/00,Y10S 128/922 | [
"G06T 17/00"
] | 40,214 |
4,208,898 | 1984-08-07 | 24,075,375 | Y | ? 280 HRL/JEL 8/2/83 A simple technique for the simultaneous measurement of relative levels of a specific mRNA in numberous small samples of biological specimens is described. The technique involves denaturation of cytoplasmic preparations, followed by dotting of up to 96 samples onto a single sheet of nitrocellulose, hybridization with a 32P-labeled cDNA plasmid, autoradiography, and scanning. By analyzing cytoplasmic preparations instead of purified RNA, manipulations of multiple samples prior to analysis are minimized. Experiments with a clonal line of rat pituitary tumor (GH3) cells show that this technique can be employed to follow the induction by Ca2+ of prolactin mRNA sequences, employing cytoplasm prepared from as little as 2.5 x 104 cells. The specificity of the technique for prolactin mRNA is shown by employing GC cells, a GH3 cell variant lacking detectable prolactin mRNA sequences. Experiments with cultured rat hemipituitaries show that the prolactin mRNA present in cytoplasm corresponding to as little as 1/100 of a pituitary can be readily detected. This technique is quite simple, can be quantified, and permits the ? 280 HRL/JEL 8/2/83 simultaneous analysis of multiple samples while requiring very small amounts of material for analysis. Hence, it should be quite useful for example for studies with various experimental systems of the regulation of specific mRNA levels. | en | METHOD FOR SIMPLE ANALYSIS OF RELATIVE NUCLEIC ACID LEVELS IN MULTIPLE SMALL SAMPLES BY CYTOPLASMIC DOT HYBRIDIZATION | 16116145_ | 16116146_,16116147_ | C12Q 1/6841 | [
"C12Q 1/68"
] | 3,568 |
447,910,812 | 2014-12-04 | 51,631,095 | N | An intelligent wheel chair control method based on a brain computer interface and an automatic driving technology. The method comprises the following steps: acquiring current pictures by a network camera to position obstacles; generating a candidate destination and a track point for path planning according to the information of the obstacles; automatically positioning a wheel chair; selecting a destination by a user through the brain computer interface; planning an optimal path according to the track point by using the current position of the wheel chair as a starting point and the destination selected by the user as an end point; calculating a position difference between the current position of the wheel chair and the optimal path to serve as a feedback of a PID path tracking algorithm; and calculating a reference angular speed and a reference linear speed according to the PID path tracking algorithm to be incorporated into a PID motion controller, converting mileage data into current angular speed and linear speed information to serve as a feedback of the PID motion controller, and controlling the wheel chair in real time to drive to the destination. By means of the intelligent wheel chair control method, the mental burden of a user is greatly relieved, the method can adapt to various environments, and the self-care ability of a paralytic patient with serious illness is improved. | en | INTELLIGENT WHEEL CHAIR CONTROL METHOD BASED ON BRAIN COMPUTER INTERFACE AND AUTOMATIC DRIVING TECHNOLOGY | 63586689_CN | 63574088_CN,67732516_CN | A61G 5/04,A61G2203/18,A61G2203/22,A61G2203/70,G01C 21/206,G05B 6/02,G05D 1/0212,G05D 1/0217,G05D 1/024,G05D 1/0246,G05D 1/0253,G05D 1/027,G05D 1/0272,G05D 1/0274,G05D2201/0206,G06F 3/013,G06F 3/015,G06F 3/0482,G06N 5/003,G06N 20/00,G06N 20/10,G06N 20/20 | [
"A61G 5/04"
] | 98,194 |
551,571,065 | 2021-04-30 | 62,116,597 | Y | Abstract Abstract: Techniques described herein relate to facilitating end-to-end multilingual communications with automated assistants. In various implementations, speech recognition output may be generated based on voice input in a first language. A first language intent may be identified based on the speech recognition output and fulfilled in order to generate a first natural language output candidate in the first language. At least part of the speech recognition output may be translated to a second language to generate an at least partial translation, which may then be used to identify a second language intent that is fulfilled to generate a second natural language output candidate in the second language. Scores may be determined for the first and second natural language output candidates, and based on the scores, a natural language output may be selected for presentation. WO 2019/172946 PCT/US2018/027774 CLIENT DEVICE CLIENT DEVICE f1 10fN MESSAGE EXCHANGE MESSAGE EXCHANGE CLIENT 10711 CLIENT 107N I AUTOMATED I AUTOMATED ASSISTANT CLIENT ASSISTANT CLIENT SPEECH CAPTURE/ SPEECH CAPTURE/ TTS/STT 1 1 4 1 TTS/STT 114N L ---- ---- ------- - CLOUD-BASED AUTOMATED ASSISTANT Fig. 1 COMPONENT(S) Fg 1119 116 13 11L I13 NATURAL NATURAL LANGUAGE LANGUAGE 127 PROCESSOR GENERATOR INTENT MATCHER 136 137 FULFILLMENT ENGINE 124 SEARCH5ENGINE TRANSLATOR SCORING ENGINE C13 9 138 140. T ---------- | en | FACILITATING END-TO-END COMMUNICATIONS WITH AUTOMATED ASSISTANTS IN MULTIPLE LANGUAGES | 56112123_ | 78106155_,41569554_,78000252_,77963207_,54945639_,78107029_,78906851_,78575198_,78738077_,78102809_,78711667_ | G06F 16/3334,G06F 16/3343,G06F 16/3344,G06F 40/58,G06N 20/00,G10L 15/005,G10L 15/1822,G10L 15/183,G10L 15/22 | [
"G10L 15/18",
"G10L 15/28",
"G10L 15/32"
] | 153,966 |
486,411,606 | 2017-06-26 | 60,332,622 | Y | The invention discloses a high-speed multicolor and multimode structured light illumination super-resolution microimaging system. Laser generated by a multicolor light source is incident into a high-speed gating switching module; the high-speed gating switching module selects the laser in one or multiple colors and enables the laser to irradiate a structured light generation and modulation module; the structured light generation and modulation module generates periodically modulated structured light and controls the direction and the phase of the structured light; the modulated laser is transmitted to a polarization control module; the polarization control module adjusts the polarization direction of the laser, so that the structured light illumination stripe is high in contrast, and the laser is transmitted to a space filter module; the space filter module filters out redundant stray light, and then emits the laser to a sample module through a fluorescence module and an objective lens in sequence; signal light emitted by the sample module is collected by the objective lens, and then the fluorescence module separates exciting light from the signal light; finally the signal light is received by a detection module. The system is high in structured light illumination stripe contrast and high in imaging speed, and meanwhile at least 5-color imaging can achieve the optimal performance. | en | High-speed multicolor and multimode structured light illumination super-resolution microimaging system and method thereof | 62210827_ | 59304649_,61051175_,59398961_,61371855_ | G01N 21/6456 | [
"G01N 21/64"
] | 113,417 |
522,534,660 | 2019-08-23 | 68,589,035 | Y | The invention relates to a digital Moire phase shift interference phase real-time measurement technology based on sparse Fourier transform, and belongs to the optical measurement field. Firstly, a virtual interference pattern is constructed, and Moire synthesis is performed. On the basis of one-dimensional sparse Fourier transform (SFFT), a two-dimensional Moire fringe pattern rearrangement rule is designed, and a small number of frequency spectrum amplitude large-value points in a frequency spectrum are sparsely dispersed in the frequency spectrum through spatial domain rearrangement. Secondly, a two-dimensional SFFT window function is set, spatial domain aliasing and down-sampling FFT of two-dimensional signals are performed, an original image with a size of N*N is reduced to the size ofB*B, and a subsequent calculation amount is reduced. And frequency spectrum reduction with the N*N size is completed through position coordinate reduction and estimated value reduction. And finally,a restored frequency spectrum is applied to a phase solution process of a digital Moire phase shift method. In the invention, a calculation amount of the phase solution process can be reduced, an algorithm speed of the digital Moire phase shift phase solution method is improved, and real-time measurement of a phase in fields of precision processing, engineering practice and biomedicine can be realized. | en | Digital Moire interference phase real-time measurement method based on sparse Fourier transform | 18523369_ | 20240634_,52862349_,20152910_ | G01B 11/2441,G06T 5/10,G06T 5/20,G06T2207/20024,G06T2207/20056 | [
"G06T 5/10",
"G01B 11/24",
"G06T 5/20"
] | 134,206 |
23,087,603 | 1992-12-03 | 18,389,180 | Y | An information source encoding system in which overload noise and block noise are less recognized and quantizing overload and large quantizing distortion can be reduced within an intra-frame mode encoding region even when intra-frame and inter-frame mode encoding regions coexist in an image screen. An orthogonal converter eg. a discrete cosine converter, in a motion compensated prediction unit outputs conversion coefficients in a predetermined spatial frequency region. A coefficient separating unit 11 selectively separates the conversion coefficients. With the separated coefficients from the coefficient separating unit, a power is calculated. The calculated power is compared with a predetermined threshold value by a coefficient power determining unit 12. A step width controller 13 sets a quantizing step width, based on the combination of a power determining ON/OFF signal from the coefficient power determining unit 12 and an adaptive control ON/OFF signal from the encoding controller 14, when the coefficient power is larger than the threshold value in the intra-frame mode, and sets a quantizing step width determined by the quantization characteristic designation signal from the encoding controller 14 in remaining cases. As a result, a combined adaptive quantization characteristic signal having a quantizing step width for combined adaptive control is output to the quantizer. <IMAGE> | en | Information source encoding apparatus | 5242602_JP | 28893314_ | H04N 19/107,H04N 19/124,H04N 19/126,H04N 19/132,H04N 19/14,H04N 19/146,H04N 19/149,H04N 19/15,H04N 19/152,H04N 19/176,H04N 19/18,H04N 19/48,H04N 19/60,H04N 19/61,H04N 19/82 | [
"G06T 9/00",
"H04N 19/126",
"H04N 19/196",
"H04N 19/86",
"H04N 19/136",
"H04N 19/625",
"H04N 19/159",
"H04N 7/14",
"H04N 19/60"
] | 22,663 |
51,446,719 | 1983-07-01 | 6,096,808 | Y | An event-module is, on its lowest logical level, a universal instrument for measurement and storage of times, intervals, periods, time series and durations. It permits codification of personal and external events by means of time-marks and makes them accessible in the course of their realization. It permits the possibility of analyzing the serial structure and the correlation in time of these events in a most general way. The evolution of the present can instantaneously be compared with the anticipation of the future by use of external time-marks. Further, the introduction of a programmable dialog-logic which enables the user to find answers to specific questions of, e.g., his personal experiences is disclosed. The module helps in decisions and is not only a measurement device, but also a partner. Likewise, the module can act as an opponent of the user and e.g. sophisticated games may be played. The event-module can be considered a cybernetic system into which the human being is incorporated in contrast to conventional learning machines (TURING machine, chess computer) and which interacts with his behavior patterns (habits, orderliness, etc.). This system not only records events and their duration and displays them on demand, but it interferes due to its boundary conditions (Te, DELTA Te) with the actual course of events. It is a mobile, interactive system with learning potential. | en | Mobile event-module | 8519891_DE | 8519892_DE | G04F 10/00,G04G 11/00,G04G 99/00,G07C 1/00 | [
"G07C 1/00",
"G04G 11/00",
"G04G 99/00",
"G04F 10/00"
] | 42,101 |
4,811,378 | 2002-01-09 | 25,045,516 | N | A non-invasive method for analyzing the blood-brain barrier includes obtaining a Raman spectrum of a selected portion of the eye and monitoring the Raman spectrum to ascertain a change to the dynamics of the blood brain barrier. Also, non-invasive methods for determining the brain or blood level of an analyte of interest, such as glucose, drugs, alcohol, poisons, and the like, comprises: generating an excitation laser beam (e.g., at a wavelength of 600 to 900 nanometers); focusing the excitation laser beam into the anterior chamber of an eye of the subject so that aqueous humor, vitreous humor, or one or more conjunctiva vessels in the eye is illuminated; detecting (preferably confocally detecting) a Raman spectrum from the illuminated portion of the eye; and then determining the blood level or brain level (intracranial or cerebral spinal fluid level) of an analyte of interest for the subject from the Raman spectrum. In certain embodiments, the detecting step may be followed by the step of subtracting a confounding fluorescence spectrum from the Raman spectrum to produce a difference spectrum; and determining the blood level and/or brain level of the analyte of interest for the subject from that difference spectrum, preferably using linear or nonlinear multivariate analysis such as partialleast squares analysis. Apparatus for carrying out the foregoing methods are also disclosed. | en | ASSESSING BLOOD BRAIN BARRIER DYNAMICS OR IDENTIFYING OR MEASURING SELECTED SUBSTANCES OR TOXINS IN A SUBJECT BY ANALYZING RAMAN SPECTRUM SIGNALS OF SELECTED REGIONS IN THE EYE | 5300383_US,16703274_US | 16607520_US,16607521_US | A61B 5/14532,A61B 5/14546,A61B 5/1455,A61B 5/4064,A61B 5/411,G01J 3/027,G01N 21/65,G01N2021/656 | [
"A61B 5/00",
"G01N 21/65"
] | 7,971 |
49,217,030 | 2005-11-15 | 33,440,865 | Y | For embedding binary payload in a carrier signal, which, for example, is an audio signal, a sequence of time-discrete values of the carrier signal is converted to the frequency domain by means of an integer transform algorithm to obtain binary spectral representation values. Bits of the binary spectral representation values with a valency less than signal limit valency are determined and set according to the payload. The signal limit valency for a spectral representation value is less than the valency of the leading bit of this spectral representation value, so that, with adequate distance, a psychoacoustic transparent insertion of information is achieved. Thus a modified spectral representation with inserted information is generated which is finally converted back to the time domain using an integer back transform algorithm. For extracting the payload, the time-discrete signal with the inserted information is again converted to a spectral representation with the integer forward transform algorithm. Furthermore, signal limit valency information is determined to identify the bits of the binary spectral representation values containing no information regarding the carrier signal, but information regarding the payload signal, to extract these bits. The inventive concept is simple in its implementation and may be scaled with respect to the data rate of the information to be inserted. | en | Device and method for embedding binary payload in a carrier signal | 7287569_DE,7287568_DE,5347128_DE,7287570_DE | 7287568_DE,7287570_DE,7287569_DE | G06T 1/0028,G06T2201/0051,G06T2201/0052,G06T2201/0061,G10L 19/018,G11B 20/00891,H04N 1/32187,H04N 1/32192,H04N 7/08,H04N 21/236,H04N 21/23892,H04N 21/8358 | [
"G06T 1/00",
"H04N 1/32",
"G10L 19/018",
"H04N 7/24"
] | 38,397 |
46,426,469 | 1993-04-22 | 14,343,410 | Y | An optical head access controlling apparatus comprises a speed detecting circuit detecting a moving speed of an optical spot irradiated onto an optical disk and outputting a speed detecting signal, a CPU controlling all of said optical head access controlling apparatus and outputting a crossing track number N which is set when access to a target track starts and outputting an access direction, a track counter outputting a remained track number from the crossing track number N to a target track, a reference speed producing circuit producing a reference speed of an optical head in accordance with a remained track number from the track counter, a first amplifier of a gain K1 amplifying a moving speed detecting signal of an optical spot from a speed detecting circuit, a speed direction designating circuit designating a speed direction by an access direction signal of an optical disk from the CPU, a second amplifier of a gain K2 amplifying a reference speed signal from a reference speed producing circuit, a reference speed direction designating circuit designating a reference speed direction by an access direction signal from the CPU, a track pitch distinguishing device for distinguishing a track pitch of an optical disk and an error detecting circuit producing a speed error signal by output from a reference speed direction designating circuit and speed direction designating circuit. | en | Optical recording/reproducing head access controlling apparatus for an optical type information recording/reproducing apparatus | 5238396_JP | 5734128_JP | G11B 7/08529,G11B 7/08541 | [
"G11B 21/08",
"G11B 7/085"
] | 32,527 |
53,036,817 | 2000-11-29 | 18,377,172 | N | An alpha wave signal and a beta wave signal are separated from a brain wave signal S at the points of the subject's forehead, and under the condition of preset time of a sampling cycle with a settled integration time, a ratio of an integration value of the beta wave signal to an integration value of the alpha wave signal is calculated to obtain the information for judgment of the brain activity. Under the condition of preset time of the sampling cycle with a settled integration time, each integration value of brain wave signal S, said alpha wave signal and said beta wave signal are calculated, then an occurrence ratio of the integration value of the alpha wave signal to the integration value of the brain signal S is calculated and made to be alpha% for each sampling cycle, beta% is calculated by the same procedure, and the frequency distribution curve of the alpha% and beta% is calculated to obtain the information for judgment of the brain activity. The ratio of beta% to alpha% is calculated for each sampling cycle, then the average values and the frequency distribution curve of the ratio value of beta% to alpha% in a sampling period is calculated to obtain the information for the judgment of the brain activity. According to these results of the information described above, the mind disorder is correctly judged and also the fault of the questionnaire judgment can be compensated. | en | Judgment method of the brain wave activity and the brain wave activity quantification measurement equipment | 20475958_,30345565_ | 18769305_JP,20063519_JP | A61B 5/374,A61B 5/4088,A61B 5/7242 | [
"A61B 5/374"
] | 45,186 |
53,692,327 | 1997-03-27 | 17,105,279 | Y | An apparatus automatically generates internal representations in a recognition and control system which is capable of actively varying a state of a subject, such an object and a related environment, to be processed by the recognition and control system, a state of the recognition and control system itself, or a relationship between the subject and the recognition and control system. The apparatus includes a sensor detecting a state of the recognition and control system and outputting a sensor signal, an actuator varying the state of the recognition and control system in response to a control signal, a sensory module processing the sensor signal from the sensor and outputting a sensory signal, a motor module generating and outputting the control signal which controls the actuator, based on a motor signal or a motor command, and an automatic adjusting module analyzing a mutual dependency relationship between the sensor signal and the control signal, based on the sensory signal from the sensory module and the control signal from the motor module, to obtain the analysis results, and automatically adjusting sensory characteristic of the sensory module and motor characteristic of the motor module, based on the analysis results, so that sensory information and motor information, which are internal representations of the sensor signal and the control signal, are automatically generated. | en | Method and apparatus for automatically generating internal representation | 5273619_JP | 10134733_JP | G05B 13/027 | [
"G05B 13/02",
"G06N 3/00",
"G06F 15/18",
"B25J 9/16",
"G05B 19/4155",
"B25J 13/08"
] | 46,814 |
40,550,543 | 2002-11-19 | 37,321,354 | Y | PURPOSE: A system for an emotion expression and an action implementation of a virtual personality and a method thereof are provided to implement a virtual personality which expresses an analyzed emotion as an operation by analyzing an emotion included in inputted operation data or natural language data. CONSTITUTION: An input unit(100) receives operation data from an exterior. A neuro-fuzzy emotion inference unit(104) analyzes an emotion included in the inputted operation data and calculates a strength of the emotion using a fuzzy inference and a neural network method. An emotion/operation plan unit(138) plans an operation of a virtual personality corresponded to the inputted operation data in accordance with the analyzed emotion and the calculated strength of the emotion. An image information input unit(140) receives characteristic information as to a virtual personality image from a user and creates a virtual personality adapted to the inputted characteristic information. An image information and emotion/operation synthesizing unit(142) applies an operation plan of the emotion/operation plan unit(138) to the virtual personality created by the image information input unit(140) and creates a dynamic virtual personality. An integrated output unit(146) outputs the dynamic virtual personality created by the image information and emotion/operation synthesizing unit(142) as an image. | en | Emotion and Motion Extracting Method of Virtual Human | 74153532_ | 74153532_ | G06Q 50/10 | [
"G06Q 50/10"
] | 26,328 |
482,118,083 | 2017-04-27 | 59,418,018 | Y | The invention provides a method and a device for generating weak polarization coupling points with controllable strengths in a polarization maintaining optical fiber of ultraviolet exposure. By adjusting the exposure angle of ultraviolet, the length of an exposure fiber and the refractive rate modulation depth, non-symmetrical refractive rate modulation of the polarization maintaining optical fiber is achieved, so weak polarization coupling points with controllable strengths are generated. The device comprises a KrF laser, a polarization maintaining optical fiber, a rotary fiber function clamp and a fiber feature shaft monitoring device. The method and the device are characterized in that through the weak polarization coupling points with controllable strengths, light loss caused by coupling can be reduced; signal interference between interferometers is reduced; simultaneous effective detection of multiple coupling points is achieved; by use of the weak polarization coupling points, cascading interferometers can be achieved; by writing optical grating in the polarization maintaining optical fiber and generating weak polarization coupling, construction of a cascading polarization maintaining optical fiber optical grating and construction of an optical fiber interferometer reusable multifunctional sensor network based on the generated polarization coupling points are facilitated. | en | Method and device for generating weak polarization coupling points with controllable strengths in polarization maintaining optical fiber of ultraviolet exposure | 59774784_ | 58311692_,69308901_,60647017_,61099423_ | G01M 11/37 | [
"G01M 11/00"
] | 110,697 |
45,617,532 | 2001-05-11 | 24,274,693 | N | Provided are genetically engineered cells comprising a neural stem cell and retroviral expression system in the neural stem cell and retroviral expression system in the neural stem cell, which is capable of expressing homeodomain transcription factor Nkx6.1 protein but does not express homeodomain transcription factor Irx3 protein or homeodomain transcription factor Nkx2.2 protein; which is capable of expressing homeodomain transcription factor Nkx6.1 protein and homeodomain transcription factor Irx3 protein; and which is capable of expressing homeodomain transcription factor Nkx2.2 protein or homeodomain transcription factor Nkx2.9 protein. Also provided are methods of generating such genetically engineered motor neurons, V2 neurons, and V3 neurons. Also provided are methods of treating subjects having a motor neuron injury or a motor neuron disease comprising implanting in injured/diseased neural tissue of the subject any of the provided genetically engineered cells, administering to such neural tissue retroviral expression systems which are capable of expressing the appropriate homeodomain protein(s), or transfecting neural stem cells with a retroviral vector, which is capable of expressing the required homeodomain transcription factor protein(s). Provided is a method of determining whether a chemical compound affects the generation of a motor neuron from a neural stem cell. | en | A HOMEODOMAIN PROTEIN CODE SPECIFYING PROGENITOR CELL IDENTITY AND NEURONAL FATE IN THE VENTRAL NEURAL TUBE | 5367684_US | 37029020_,37029022_,37029021_ | A61K 35/12,A61K 48/00,C12N 5/0623,C12N 15/86,C12N2501/41,C12N2501/60,C12N2510/00,C12N2740/10043 | [
"A61K 48/00",
"A61K 35/12",
"C12N 5/0797",
"C12N 5/02",
"C12N 15/867"
] | 30,117 |
512,133,211 | 2018-10-11 | 66,097,522 | N | 10400-1001 Systems and methods of manipulating and transforming data and sharing ideas comprise one or more diocards and a map comprised of the one or more diocards. Each diocard represents an individual idea and has the same group of functions including a distinctions function, a systems function, a relationships function, and a perspectives function. The distinctions function enables definition of the individual idea by attributes the individual idea is comprised of and by non attributes the individual idea is not comprised of, thereby creating libraries of interconnected ideas that range from near-exact synonyms to near-far synonyms to antonyms to totally unrelated concepts. The systems function enables definition of the individual idea as part of a whole or a whole that can be broken into parts. The relationships function enables definition of the individual idea as having a relationship with one or more different ideas and that this relationship may include action and reaction-like properties. The perspectives function enables definition of the individual idea as a point having a view with respect to one or more different ideas. Sharing methods include creating one or more diocards, creating a map comprised of the one or more diocards, and sharing between at least two users the individual idea, one or more diocards, the map, a template of the map, and/or a library of maps. | en | Systems and methods of mapping, transforming, and sharing data and ideas | 81463015_US | 70160022_ | G06F 16/176,G06F 16/258,G06F 16/26,G06F 16/288,H01L 21/683,H01L 21/68714 | [
"G06F 17/00"
] | 127,461 |
482,153,086 | 2017-03-24 | 59,425,288 | N | The invention discloses a device and method for imaging behaviors of freely moving small animals. The device comprises a box, a femtosecond pulse laser, a femtosecond pulse laser modulator, a miniprobe, a data collection component and a circuit installation component. The box provides a limited space for free movement of small animals. The femtosecond pulse laser generates laser light with a wavelength of 920 nanometers. The femtosecond pulse laser modulator receives the laser light output by the femtosecond pulse laser, and pre-chirps and compensates pulse broadening of the laser light to a preset value. The miniprobe receives the laser light output by the femtosecond pulse laser modulator and receives and outputs a fluorescence signal output by a scanning imaging portion, wherein the laser light scans tissue inside a living sample so as to stimulate the living sample to generate a fluorescence signal. The data collection component collects the fluorescence signal output by the miniprobe. Laser input optical fiber and fluorescence output optical fiber are installed on the box through the circuit installation component in the mode of freely rotating relative to the box. By the adoption of the device for imaging behaviors of freely moving small animals, dendrite and dendritic spine activities of freely moving animals can be stably observed in a natural physiological environment. | en | Device and method for imaging behaviors of freely moving small animals | 62035794_ | 60630510_,67087641_,59325712_,58367266_,65335547_,59388629_ | A61B 5/0071 | [
"A61B 5/00"
] | 110,736 |
55,627,630 | 2008-06-27 | 40,226,059 | Y | The present invention provides an apparatus for white-matter-enhancement processing, and a method and a program for white-matter-enhancement processing that makes it possible to analyze distinguishing characteristics of the brain of a living body, such as degree of growth and development, left/right brain dominance, identification of areas of strength and weakness, and personality traits of the brain of the living body. The apparatus for white-matter-enhancement processing A of the present invention has a memory part 5 for inputting and storing contrast images of a brain of a living body, obtained by means of MRI apparatus B; a white-matter-enhanced image-creating part 6 for creating white-matter-enhanced images, based on contrast images stored in recording part 5, in which the white matter is enhanced by adjusting the images in such a way that the white matter stands out and the cortex does not stand out; a display processing part 7 for displaying on output part 2 the white-matter-enhanced images created by means of white-matter-enhanced image-creating part 6; and a branching analysis part 8 for analyzing distinguishing characteristics of the brain of a living body, based on any one of or a combination of the characteristics of branches in the white-matter-enhanced images that are created: their number, thickness, length, location, intensity, shape and/or size (see Figure 1 ). | en | WHITE MATTER ENHANCING METHOD | 69780591_JP | 69780591_JP | A61B 5/055,A61B 5/107,A61B2576/026,G01R 33/5602,G01R 33/5608,G06T 5/007,G06T2207/10088,G06T2207/30016,G16H 30/40 | [
"G06T 5/00",
"G01R 33/56",
"A61B 5/055"
] | 53,640 |
571,330,973 | 2022-01-03 | 81,257,493 | N | The systems and methods herein provide improved methodologies for visualization on a user's display of sensor data (e.g., 2D and 3D information obtained from or derived from sensors) for objects, components, or features of interest in a scene. The previously acquired sensor data is processable for concurrent display of objects/features/scene or location visualizations to a user during their real-time navigation of a scene camera during a variety of user visualization activities. Sensor data can be acquired via the operation of vehicles configured with one or more sensors, such as unmanned aerial vehicles, or from other methodologies, or from any other suitable sensor data acquisition activities. Objects etc. for which acquired sensor data can be visualized by a user on a display includes buildings, parts of buildings, and infrastructure elements, among other things. The improved display of information to a user for visualization and information generation therefrom provides significant benefits over prior art display methodologies and exhibits notable utility for user activities such as, inspection, condition assessment, performance assessment, insurance applications, construction, inventorying, building information modeling, asset management and the like. Information derivable from the methodologies herein can be used for machine learning libraries and digital twin processes. | en | SYSTEMS AND METHODS FOR GENERATING OF 3D INFORMATION ON A USER DISPLAY FROM PROCESSING OF SENSOR DATA FOR OBJECTS, COMPONENTS OR FEATURES OF INTEREST IN A SCENE AND USER NAVIGATION THEREON | 83613981_US | 9335391_US,83531772_US,83528245_US,58024239_US,12366957_US | G05D 1/0016,G05D 1/0044,G05D 1/101,G06T 7/70,G06V 10/25,G06V 20/10,G06V 20/17,G06V 20/176,G06V2201/06 | [
"G06V 20/10",
"G05D 1/00",
"G05D 1/10"
] | 165,348 |
548,401,318 | 2019-12-09 | 75,222,781 | Y | The present invention relates to continuous conversation-based language developmental disorder testing. More specifically, the present invention relates to a system and method for continuous conversation-based language developmental disorder testing in which a program instead of a language therapist performs repeating, picture matching, and picture-based talking through continuous system-user conversation in order to test a developmental disorder of a child. The system includes: a client including a user recognition unit recognizing a user, a voice recognition unit recognizing a voice of the child and converting the voice into a text, a voice synthesis unit expressing an uttered sentence, and a content management unit displaying and managing repeating, picture matching, and picture-based talking information and image information; and a conversation server including a conversation management unit selecting a conversation scenario matching the life or developmental age of the user through a situation-specific conversation scenario DB and a situation scene image information DB, operating an uttered sentence-type conversation scenario, and delivering image information, an intention analysis unit analyzing whether the intention of a response utterance matches a situation, and a language disorder analysis unit determining the presence or absence of a language developmental disorder. | en | Continuous conversation-based developmental disability testing system and method | 73421705_KR | 67999104_KR | A61B 5/16,A61B 5/4076,A61B 5/4803,G09B 5/06,G16H 50/20,G16H 50/30 | [
"G09B 5/06",
"G16H 50/20",
"G16H 50/30",
"A61B 5/16",
"A61B 5/00"
] | 151,764 |
469,343,029 | 2016-03-07 | 56,880,251 | N | The objective of the present invention is to provide an emotion estimating device capable of estimating emotions more reliably and more stably. The present invention relates to an emotion estimating device which: acquires a brain potential signal of a subject; acquires a facial image of the subject; acquires a pupillary diameter of the subject; acquires information relating to the brightness of an object being viewed by the subject; calculates a degree of attention representing the pupillary diameter from which the effect of the brightness of the object being viewed has been eliminated, on the basis of the acquired pupillary diameter, the acquired brightness information, and a correspondence relationship between the brightness information and the pupillary diameter of the subject, acquired in advance; calculates a facial image feature quantity representing a degree of change of expression, on the basis of amounts of displacement of the locations of certain sites in the acquired facial image compared with the locations of the certain sites in a normal condition, set in advance; calculates brain potential data on the basis of specific frequency bands attributable to brain activity, extracted from the acquired brain potential signal; and estimates an emotion of the subject on the basis of the calculated degree of attention, facial image feature quantity, and brain potential data. | en | EMOTION ESTIMATING DEVICE AND EMOTION ESTIMATING METHOD | 64019631_JP,67302162_JP | 65063385_JP,64124658_JP,69664782_JP,64566364_JP,64438737_JP,64110115_JP,67495093_JP,68027612_JP,63726948_JP | A61B 5/16,A61B 5/163,A61B 5/369 | [
"A61B 5/0476",
"A61B 5/16"
] | 103,548 |
493,780,422 | 2017-10-31 | 62,020,142 | Y | Various embodiments are described herein to reduce sound sensitivities, improve state regulation, and/or reduce auditory processing and social engagement deficits in individuals with such deficiencies by recruiting the anti-masking functions of the middle ear muscles in order to optimize the transfer function of the middle ear for the processing of human speech. In certain embodiments, an individual may be subjected to a training protocol comprising one or more training sessions. During each training session, acoustic stimuli are provided to a subject for a period of time, with or without accompanying visual stimulation. A user response may be determined, for example, before beginning the protocol, during a session, after a session, and/or upon completion of the protocol. Such user response may be employed to adjust the acoustic stimulation, and the adjusted acoustic stimulation may be provided to the subject during a subsequent training session (or at a subsequent time within the same training session). The training protocol may end after a predetermined number of training sessions or upon achieving a desired user response. The training session may be characterized by a fixed protocol during which continuous stimulation is presented for a fixed period of time or by an interactive protocol during which the stimulation presentation is dependent on the reactions of the subject. | en | Methods and systems for reducing sound sensitivities and improving auditory processing, behavioral state regulation and social engagement behaviors | 56983118_US | 56965206_US | A61B 5/12,A61B 5/125,A61B 5/486,A61M 21/00,A61M2021/0027,A61M2205/3303,A61M2205/3331,A61M2205/3375,A61M2205/3553,A61M2205/50,A61M2205/581,A61M2205/582,A61M2205/583,A61M2230/04 | [
"A61B 5/12",
"A61M 21/00"
] | 117,218 |
420,328,367 | 2014-04-04 | 51,188,970 | Y | Provided is a parameter estimation method based on a Rayleigh-Ritz entropy dimensionality reduction MUSIC algorithm. The parameter estimation method comprises the steps that K far-field narrow-band transverse electromagnetic wave incident signals which are unrelated are received by a receiving array, a received data covariance matrix is calculated through M-time snapshot data of the receiving array, eigen-decomposition is conducted on the received data covariance matrix to obtain signal subspace and noise subspace, a multiple signal classification (MUSIC) spatial domain and polarization domain joint zero-spectrum function is constructed according to the subspace theory, a search guide vector is represented as the product of a spatial domain function matrix and a polarization domain function vector, MUSIC dimensionality reduction processing with separated spatial domain spectra and separated polarization domain spectra is realized according to the self-conjugate torque Rayleigh-Ritz entropy theorem, and parameter estimation is carried out. According to the parameter estimation method based on the Rayleigh-Ritz entropy dimensionality reduction MUSIC algorithm, four-dimensional MUSIC search is converted into two types of two-dimensional search including spatial domain two-dimensional search and polarization domain two-dimensional search, so that the calculated amount is reduced. | en | Parameter estimation method based on Rayleigh-Ritz entropy dimensionality reduction MUSIC algorithm | 14724848_ | 43388244_,20214290_,18717844_,40150639_,18510590_ | G01S 3/46 | [
"G01S 3/46"
] | 87,594 |
53,515,360 | 1991-11-25 | 18,178,086 | Y | A method of optical phase detection, in which a signal light polarized linearly and a local light emitted from a local light laser light source are combined with each other so that an in-phase component and a quadrature component, which is 90 degrees behind the local light in phase and is combined with the signal light, are taken out; and the in-phase component is demodulated while the phase of the signal light and that of the local light are synchronized with each other through the use of the in-phase component and the quadrature component, in which the signal light and the local light are separated into mutually-perpendicular P-polarized and S-polarized components by first and second polarization beam splitters; the phases of the P-polarized or S-polarized components are regulated by first and second optical phase compensation plates so that the polarized components of the signal light are kept in phase with each other, but the polarized components of the local light have a phase difference of 90 degrees between themselves; and the polarized components of the signal light and those of the local light are combined with each other by a first and a second combiner so that the in-phase component and the quadrature component are obtained. Therefore, a method having a low demodulation error can be easily provided to be widely used for high-capacity coherent optical communication. | en | Optical phase detection method with orthogonal polarization and phase compensation arrangement | 10001229_JP | 10001230_JP,9273315_JP | G01J 9/04,G02B 27/283,H04B 10/60,H04B 10/613,H04B 10/614,H04B 10/63 | [
"H04B 10/61",
"H04L 27/227",
"H04L 27/22",
"G01J 9/04",
"H04B 10/548",
"H01L 31/16",
"G02F 2/00",
"G02B 27/28",
"H04B 10/516"
] | 46,276 |
406,610,271 | 2011-07-26 | 45,559,991 | Y | A multichannel vestibular prosthesis includes a sensor system and a microcontroller configured to communicate with the sensor system to receive sensor signals from the sensor system while in operation. The microcontroller is configured to provide control signals in response to the sensor signals. The multichannel vestibular prosthesis also includes a neuroelectronic interface integrated circuit configured to communicate with the microcontroller to receive the control signals, and a plurality of electrodes electrically connected to the neuroelectronic interface integrated circuit. The neuroelectronic interface integrated circuit includes a digital controller configured to communicate with the microcontroller, a plurality of digital-to-analog converters configured to communicate with the digital controller, and a plurality of analog current control circuits, each constructed to communicate with a respective one of the plurality of digital-to-analog converters. Each of the plurality of analog current control circuits can be electrically connected directly or under software control to a respective one of a plurality of electrodes for delivering electrical stimuli to at least one vestibular nerve, and the digital controller is configured to control amplitudes, frequencies, polarities and durations of currents to be delivered to any combination of the plurality of electrical leads. | en | High-voltage CMOS neuroelectronic interface for a multichannel vestibular prosthesis | 12412700_US,12412702_US,11472070_US,47215437_US,12412704_US,12412703_US,5218813_US | 12412702_US,12412703_US,12412704_US,11472070_US,12412700_US,47215437_US | A61B 5/11,A61B 5/6847,A61B2562/0219,A61N 1/0526,A61N 1/0541,A61N 1/36036,A61N 1/3727 | [
"A61N 1/372",
"A61N 1/05",
"A61N 1/00"
] | 80,016 |
16,001,137 | 2003-05-19 | 29,419,679 | Y | A system (100) and method for object detection with sudden illumination changes provides a system (100) including a camera model unit (180) for computing a difference map between a first input image and a second input image, an illumination model unit (170) in signal communication with the camera model unit for comparing the sign of the difference between two pixels in a first input image against the sign of the difference between two pixels in a second input image, and a CPU (102) in signal communication with the camera model unit and the illumination model unit for detecting a changed object in accordance with said comparison when said sign of the difference is changed; and a corresponding method including providing a first image having a number of pixels, receiving a second image subsequent to the first image, calculating a difference map between the first and second images, selecting a pair of pixel locations from the first or second images in accordance with the difference map, statistically modeling a camera noise level for the first and second images, computing the likelihood of order inconsistency between a pair of pixel values at the selected locations in the first image and a pair of pixel values at the selected locations in the second image in accordance with the camera noise level; and detecting a changed object in accordance with the computed likelihood. <IMAGE> | en | Object detection for sudden illumination changes using order consistency | 5421_US | 1376867_US,49430005_US | G06T 7/254,G08B 13/19604 | [
"G06K 9/64",
"G06K 9/68",
"G08B 13/196",
"G06T 7/20",
"G08B 13/194",
"G06T 17/20"
] | 14,705 |
560,164,809 | 2021-04-30 | 78,292,219 | N | Described herein are means for the generation of semantic genesis models through self-supervised learning in the absence of manual labeling, in which the trained semantic genesis models are then utilized for the processing of medical imaging. For instance, an exemplary system is specially configured with means for performing a self-discovery operation which crops 2D patches or crops 3D cubes from similar patient scans received at the system as input; means for transforming each anatomical pattern represented within the cropped 2D patches or the cropped 3D cubes to generate transformed 2D anatomical patterns or transformed 3D anatomical patterns; means for performing a self-classification operation of the transformed anatomical patterns by formulating a C-way multi-class classification task for representation learning; means for performing a self-restoration operation by recovering original anatomical patterns from the transformed 2D patches or transformed 3D cubes having transformed anatomical patterns embedded therein to learn different sets of visual representation; and means for providing a semantics-enriched pre-trained AI model having a trained encoder-decoder structure with skip connections in between based on the performance of the self-discovery operation, the self-classification operation, and the self-restoration operation. Other related embodiments are disclosed. | en | SYSTEMS, METHODS, AND APPARATUSES FOR THE USE OF TRANSFERABLE VISUAL WORDS FOR AI MODELS THROUGH SELF-SUPERVISED LEARNING IN THE ABSENCE OF MANUAL LABELING FOR THE PROCESSING OF MEDICAL IMAGING | 10848700_US | 79713981_US,58075181_US,79684554_US,81825057_US | G06K 9/6273,G06T 3/0012,G06T 5/005,G06T 7/0014,G06T2207/10081,G06T2207/10116,G06T2207/20081,G06T2207/20084,G06T2207/30061,G06V 10/25,G06V 10/457,G06V 10/752,G06V 10/82,G06V2201/03 | [
"G06K 9/46",
"G06K 9/32",
"G06T 7/00",
"G06K 9/62",
"G06T 3/00"
] | 159,488 |
517,182,990 | 2018-12-30 | 67,394,548 | N | A coding-decoding method for a brain-machine interface system based on asymmetric electroencephalographic features. The brain-machine interface comprises a stimulation-inducing module, an electroencephalographic signal collecting module, an electroencephalographic data module constituted by a training set Xk and a test sample Y, and an electroencephalographic signal decoding module. The stimulation-inducing module transmits as required a mix coded visual stimulation to a testee to induce a corresponding electroencephalographic signal. The collecting module forms data information by amplifying and filtering the electroencephalographic signal so as to constitute an electroencephalographic data module. The decoding module decodes electroencephalographic data and converts same into an instruction set for output. The method, combined with mixed coding strategies such as space-division multiple access, code-division multiple access, frequency-division multiple access, and phase-division multiple access, effectively expands the number of system instruction sets on the basis of the asymmetric features of electrophysiological activities of the brain in response to a stimulation; at the same time, the decoding method provided increases the signal-to-noise ratio of the electroencephalographic signal itself, thus increasing the classification recognition efficiency for signal features. | en | CODING-DECODING METHOD FOR BRAIN-MACHINE INTERFACE SYSTEM BASED ON ASYMMETRIC ELECTROENCEPHALOGRAPHIC FEATURES | 68332186_CN | 69068776_CN,63919400_CN,74129759_CN | A61B 5/369,G06F 3/015 | [
"G06F 3/01"
] | 130,263 |
274,575,159 | 2009-06-11 | 41,653,027 | Y | An automated human action recognition system may automatically recognize one or more actions of a human from 2D input image data representing a sequential series of input images of the human performing the one or more actions. Each input image may be from an unknown viewpoint. A computer memory system may contain 2D reference image data representing a plurality of reference actions which a human may perform. The 2D reference image data may include a plurality of linked sequences of key poses, including a linked sequence of key poses for each reference action. For each reference action, each key pose within the linked sequence of key poses for the reference action may consist essentially of 2D image data that is representative of a human figure performing the reference action at a selected point during the reference action. The timing of the selected points within the linked sequence of key poses for the reference action may be based on changes in the position of the human figure during the performance of the reference action. The linked sequence of key poses for the reference action may uniquely distinguish it from the linked sequence of key poses for all of the other reference actions. A computer processing system may be configured to determine which of the reference actions best matches the 2D input image data with no knowledge of the viewpoint of the 2D input image data. | en | Automated single viewpoint human action recognition by matching linked sequences of key poses | 11200142_US,5371679_US,10261563_US | 11200142_US,10261563_US | G06V 10/50,G06V 40/23 | [
"G06K 9/46",
"G06K 9/36",
"G06K 9/00",
"G06K 9/62",
"H04N 5/225",
"G06T 13/00",
"H04N 7/18"
] | 60,307 |
519,755,720 | 2019-07-31 | 67,637,845 | Y | A high-performance distributed fibre sensing system based on EHz ultrafast pulse scanning, wherein the system comprises an EHz ultrafast pulse scanning laser 10, a circulator 20, a sensing fibre 30, a coupler 40, a first interference arm 51, a second interference arm 53, Faraday rotation mirrors 52, 54 and a phase demodulator 60. The laser comprises a pump laser source, three wavelength division multiplexers, a cascaded phase-shifted fibre grating, a plurality of electro-optic modulators and a controller. The grating comprises a plurality of gratings that are engraved on a doped fibre, each grating having a different central window wavelength and a wavelength interval between the adjacent central window wavelengths being a preset, fixed value. The controller is configured to select sequentially an electro-optic modulator of the plurality of modulators according to a preset time interval. The lengths of the first interference arm and the second interference arm are not equal, forming an unbalanced Michelson interferometer. The phase demodulator is connected to the coupler, and is configured to demodulate a phase change caused by a disturbance signal in the sensing fibre. The phase demodulator may comprise photoelectric detectors and a phase demodulation unit, and may be configured to receive backward Rayleigh scattering interference light returned from the interference arms. | en | High-performance distributed fiber sensing system based on EHZ ultrafast pulse scanning | 57489828_CN | 18067787_CN,18063565_CN,19282482_CN,79010820_CN,18028792_CN,18199732_CN,19214224_CN,17974579_CN,19805529_CN,18258306_CN | G01D 5/266,G01D 5/35325,G01D 5/35361,G01D 5/35387,G01J2009/0284 | [
"G01D 5/353",
"G01D 5/26"
] | 132,153 |
422,122,743 | 2014-03-13 | 50,389,802 | N | The invention relates to an optical scanner, an actuator, an image display device and a head-mounted display. In a universal joint structure containing a movable part, wiring break connected with a strain detection element can be restricted via the optical scanner and the actuator; actions of the strain detection element winding a first shaft can be applied; and the image display devcie and the head-mounted display comprises the optical scanner and possesses excellent reliability. The optical scanner includes a movable portion that is provided with a light reflection portion and is swingable around a first axis; a frame body portion that is swingable around a second axis; a first shaft portion that connects the movable portion and the frame body portion; a fixed portion; a second shaft portion (14a, 14b) that connects the frame body portion and the fixed portion; a strain detection element (51) that is disposed in the second shaft portion (14a) to detect deformation of the second shaft portion; a first signal processing portion to which a detection signal of the strain detection element is input and that outputs a signal based on bending deformation of the second shaft portion; and a second signal processing portion to which a detection signal of the strain detection element is input and that outputs a signal based on torsional deformation of the second shaft portion (14a). | en | Optical Scanner, Actuator, Image Display Device, And Head-mounted Display | 5215007_ | 14196644_ | G02B 26/085,G02B 26/101,G02B 27/01,G02B2027/014,G02B2027/0154,H02K 11/24 | [
"G02B 26/10",
"G02B 27/01",
"G01B 7/16"
] | 88,897 |
549,294,046 | 2021-03-24 | 71,681,724 | N | The present invention provides a cross-modal processing method, a device thereof, an electronic device, and a computer readable storage medium, and relates to the technical field of natural language processing. According to an embodiment, the cross-modal processing method comprises the steps of: acquiring sample sets including a plurality of corpora and a plurality of images; generating a plurality of training samples according to the sample set, wherein each of the plurality of the training samples is a combination of at least one of the corpus and at least one of the images corresponding thereto; using the plurality of the training samples to train a semantic model, so that the semantic model acquires semantic vectors containing the combinations of the corpus and the images through learning; and using the trained semantic model to perform a cross-modality process between the corpus and the images. By training the combination of the corpus and the corresponding image, the semantic model learns the semantic relation between the corpus and the corresponding image, so that the training effect of the semantic model is increased. In the case of multi-modal processing existing in the existing technology, by separately training each modal, semantic associations between different modals are separated to solve the problem of deterioration of the effectiveness of the trained model. | en | CROSS-MODALITY PROCESSING METHOD AND APPARATUS AND COMPUTER STORAGE MEDIUM | 67670099_CN | 80526767_,79925290_,80955504_ | G06F 16/583,G06F 40/284,G06F 40/30,G06K 9/6201,G06K 9/6256,G06K 9/6257,G06K 9/627,G06N 3/0454,G06N 3/08,G06T 7/73,G06T2207/20081,G06V 10/22,G06V 10/25,G06V 10/267,G06V 10/40,G06V 10/462,G06V 10/764,G06V 10/82,G06V 20/20,G06V 30/10,G06V 30/274,G06V2201/10 | [
"G06K 9/34",
"G06K 9/46",
"G06K 9/32",
"G06K 9/20"
] | 152,263 |
558,576,627 | 2021-03-19 | 77,748,790 | N | A system includes a smart table configured to provide a wagering game. The smart table includes a plurality of player positions, and each player position is associated with at least one radio-frequency identification (RFID) reader of a plurality of RFID readers, each of which is configured to read data from one or more RFID chips on the smart table. The system is configured to identify a player at a player position of the plurality of player positions, and determine, using at least one RFID reader associated with the player position, a turnover accumulated by the player during a specified period, where the turnover is an aggregate amount wagered during the specified period. The system is further configured to compare the turnover accumulated by the player to a threshold turnover, and if the accumulated turnover at least meets the threshold turnover, to provide a bonus award to the player. 17511825_1 (GHMatters) P115817.AU IDENTIFY A PLAYER AT A POSITION OF A SMART INITIATE A GAME PLAY _ SESSION FOR THE PLAYER IF_ 510 DETERMINE, USING AN RFID READER AT THE PLAYER POSITION, AMOUNT(S) WAGERED BY THE PLAYER DURING A CURRENT ROUND OF ADD THE WAGER AMOUNT(S) TO THE ACCUMULATED TURNOVER VALUE FOR THE 522 520 NO 530 AWARD TURNOVER R NO AWARD TIMER CONF. AWARD i EPRD DATABASE THRESHOLD? YS524 YES 532 AWARDABONUSAWARDTO RESETTURNOVERFOR THE PLAYER PLAYER, BEGIN NEW GAME PLAY SESSION | en | SYSTEMS AND METHODS FOR WAGER AND TURNOVER TRACKING AND RELATED INCENTIVES | 16791688_US | 40790534_ | G07F 17/3213,G07F 17/3244,G07F 17/34 | [
"G07F 17/32",
"A63F 3/00",
"A63F 13/00"
] | 158,592 |
49,626,896 | 1973-01-22 | 27,457,194 | Y | Central nervous system active butyrophenone derivatives in which gamma -piperazinobutyrophenone derivatives of the formula, WHEREIN R1 is hydrogen, amino, C1-C5 alkanoylamino, C1-C4 alkylamino or N-(C1-C4 alkyl)(C1-C5 alkanoyl) amino; R2 is hydrogen or halogen; R3 is hydrogen, halogen, C1-C4 alkyl, C1-C4 alkoxy or trifluoromethyl; and m is 0, 1 or 2, and acid addition salts thereof, can be prepared by reacting an indole derivative of the formula, WHEREIN R2, R3 and m are the same as defined above, and R4 and R5 are hydrogen or C1-C4 alkyl respectively, with an oxidizing agent to yield an o-alkanoylamino- gamma -piperazinobutyrophenone derivative of the formula, WHEREIN R2, R3, R4, R5 and m are the same as defined above, and further, if necessary, hydrolyzing the product to yield an o-amino- gamma -piperazinobutyrophenone derivative of the formula, WHEREIN R2, R3, R5 and m are the same as defined above, and further diazotizing, if desired, in case R5 is hydrogen, the obtained o-amino- gamma -piperazinobutyrophenone derivative and subsequently decomposing the resultant diazonium compound to replace the diazonium group by hydrogen. Among the butyrophenone derivatives thus obtained, those in which R1 is amino, alkanoylamino, alkylamino or N-alkylalkanoylamino and those in which R1 is hydrogen and R2 is halogen substituted at meta-position to carbonyl group are novel compounds. | en | Piperazinobutyrophenone derivatives | 5223978_JP | 6486733_JP,7566503_JP,7566504_JP,5464647_JP,7566505_JP | C07D 295/135 | [
"C07D 295/135"
] | 39,087 |
554,841,238 | 2021-01-20 | 71,158,401 | N | Provided are a method and apparatus for identifying a gaze behavior in a three-dimensional space, and a storage medium. The method comprises: collecting eye movement data of the two eyes of a user; selecting, from the collected eye movement data, eye movement data for gaze behavior identification; calculating eye movement angular velocities at multiple sampling time points in the selected eye movement data, and on the basis of the calculated eye movement angular velocities and an eye movement angular velocity threshold value corresponding to a gaze behavior, determining gaze point data corresponding to the gaze behavior; combining pieces of gaze point data, which satisfy a time proximity condition and a space proximity condition at the same time, in the gaze point data so as to obtain a gaze duration and the 3D coordinates of gaze points; and on the basis of the combined pieces of gaze point data, determining a gaze point at which the gaze duration is longer than a second set duration, thereby identifying the gaze behavior. In the present invention, coordinate information of a gaze point in a three-dimensional space is acquired, and standards for time proximity and space proximity are set, such that a gaze behavior can be effectively determined in combination with a visual depth difference, and the gaze behavior in the three-dimensional space can be accurately identified. | en | METHOD AND APPARATUS FOR IDENTIFYING GAZE BEHAVIOR IN THREE-DIMENSIONAL SPACE, AND STORAGE MEDIUM | 81584778_CN | 80401110_CN,80648096_CN | G06F 3/013,G06T 7/20,G06T 7/70,G06V 40/18 | [
"G06F 3/01",
"G06K 9/00"
] | 156,003 |
323,207,530 | 2007-06-14 | 38,543,007 | Y | FIELD: information technology. ^ SUBSTANCE: method for natural speech recognition of a vocal expression involves analysis of a speech signal (10) in parallel or series in several branches of a speech recognition device independently from each other using several grammars (12, 14, 26). The method involves simultaneous transmission of the speech signal (10) to first and second speech recognition branches which include first grammar (12) and second grammar (14), respectively, for analysing the speech signal. In case of recognition or non-recognition of the vocal expression through first grammar (12) or second grammar (14), first or second positive recognition results or first or second negative recognition results are obtained. A decision on successful recognition of the vocal expression is made based on assessment of the first and second recognition results. Frequently occurring vocal expressions are analysed through first grammar (12), rarely occurring vocal expressions are analysed through second grammar (14), and even more rarely occurring vocal expressions are analysed through each additional grammar (26). Either the recognition result given by the first grammar (12) or the recognition result with the highest reliability of recognition is used. ^ EFFECT: speech recognition method and system with high volume of recognition with low volume of grammar. ^ 3 cl, 2 dwg, 1 tbl | en | METHOD AND DEVICE FOR NATURAL SPEECH RECOGNITION VOCAL EXPRESSION | 34473371_DE | 64363740_DE,69082642_DE,64361644_DE | G10L 15/02,G10L 15/18,G10L 15/19,G10L 15/28,G10L 15/32 | [
"G10L 15/28",
"G10L 15/32",
"G10L 15/19",
"G10L 15/18"
] | 63,663 |
478,083,157 | 2016-09-20 | 58,615,025 | N | A word semantic similarity solution method based on a context window comprises the steps of inputting words to be compared in a statistical method module; determining a context range of the words to be compared; finding out two sentences with maximum weight in the range; calculating similarity between the two sentences; and finally, solving the similarity between the words to be compared according to the similarity of the sentences. By the word semantic similarity solution method, very valuable quantitative description is provided for determination of an effective range of the context, and the defect of previous subjective description is overcome; the position of description capability of the context to the key word is gradually reduced from the near to the distant, and the word semantic similarity solution method conforms to ordinary knowledge of people; the linearity and the signal-to-noise ratio of a weight contribution value are better, and simple subsequent calculation is facilitated; the normalization curve accuracy of the weight contribution value is higher; the influence of a sentence constituent relation in a left window and a right window of a key word on defining of an effective window in the context is considered; and the solution of word semantic similarity by applying a context window technology is achieved, and calculation precision and accuracy are higher. | en | Word semantic similarity solution method based on context window | 65674138_ | 59108801_ | G06F 16/3344,G06F 40/30 | [
"G06F 17/27",
"G06F 17/30"
] | 108,574 |
561,620,078 | 2021-08-12 | 78,652,385 | N | The invention provides a parallel optical scanning detection device, which comprises a light source unit, an interference unit, a light splitting unit, an optical path adjusting unit, a plurality of scanning units and a receiving unit. The light source unit provides an initial light source to the interference unit, and the interference unit divides the initial light source into a reference light source and a sample light source; the light splitting unit divides the sample light source into a plurality of sample light sources, the optical path adjusting unit adjusts the sample light sources into scanning light sources with different optical paths, and each scanning unit receives one scanning light source and scans a sample through each scanning light source, such that the scanning units receive the detection light sources reflected or scattered from different positions of the sample respectively. The receiving unit receives the reference light source and the detection light sources and performs light coherence effect on the reference light source and the detection light sources respectively, so that the receiving unit generates optical information of coherence effect of different optical path differences. The optical information is processed and analyzed by a computer to synchronously obtain optical coherence tomography scanning images at different positions of the sample. | en | Parallel optical scanning detection device | 84446153_ | 83846232_,84217853_,83950184_ | G01N 21/01,G01N 21/552,G02B 26/0816,G02B 26/10,G02B 27/0994 | [
"G02B 27/09",
"G01N 21/01",
"G02B 26/10",
"G02B 26/08",
"G01N 21/552"
] | 160,402 |
477,017,876 | 2017-01-19 | 56,488,162 | Y | The present invention relates to an intelligent driving training system. The intelligent driving training system includes a vehicle-mounted intelligent training subsystem, a data processing subsystem, a running control subsystem and a system level data communication subsystem; the vehicle-mounted intelligent training subsystem is installed on an actual motor vehicle and is used for performing interactive driving training on a driver, collecting and reporting the training process data of the driver; the data processing subsystem manages basic information and is used for receiving, storing and processing the raining process data reported by the vehicle-mounted intelligent training subsystem; the running control subsystem monitors the operated state and running state of the vehicle in real time and performs system automatic control or manual remote control on the monitored vehicle according to actual situations; and the vehicle-mounted intelligent training subsystem is connected with the data processing subsystem and the running control subsystem through the system level data communication subsystem and is in two-way information communication with the data processing subsystem and the running control subsystem. With the intelligent driving training system adopted, monitoring, analysis, evaluation, feedback and guidance for the driving behaviors of the driver can be realized. | en | Intelligent driving training system | 58267616_ | 59358527_,59452803_ | B60K 28/02,B60R 22/48,B60W 40/09,G06T 19/20,G06V 20/597,G07C 5/0841,G09B 9/04,G09B 9/042,G09B 9/052 | [
"G07C 5/08",
"G06T 19/20"
] | 107,849 |
50,598,985 | 1989-10-02 | 22,559,367 | Y | A multisection flexible multidigit arm contains hands at each end, each of which hands contains a set of fingers, suitably three, which are similarly formed flexible multidigit arms constructed to a smaller scale. Each hand contains connectors for coupling the hand to a mating connector mounted on an associated structure to provide appropriate power and control signals to the arm. One hand may grip the connector and the other hand is free to move to various positions and perform various tasks. In an additional aspect the arm may move to different locations by somersaulting between spaced connectors in the system. In an assembly system the robotic arms are used to construct frames or other assemblies. A completely self contained arm includes a self contained source of power. Radio communication means are provided to allow electronic interaction with the arm from a remote location. In an additional aspect the self contained circuitry includes processor means programmed to control the arm to perform a certain task, relieving the operator at the remote location from specifying the details. Control signals to the sections of the arm in an additional aspect to the disclosed invention are provided by an electrical system that uses only a few wires by multiplexing the signals and the actuators, effectively 'time sharing' the electrical leads between the large number of actuators. | en | Robotic arm systems | 5245452_US | 6522436_US,6523298_US | B25J 9/0084,B25J 9/06,B25J 9/08,B25J 9/1085,B25J 9/126,B25J 9/1625,B25J 15/103,B25J 17/0266,B25J 18/06,B25J 19/0029,G05B 19/4141,G05B2219/25353,G05B2219/33002,G05B2219/33204,G05B2219/33207,G05B2219/33338,G05B2219/34236,G05B2219/34488,G05B2219/37572,G05B2219/39549,G05B2219/40195,G05B2219/40234,G05B2219/40303,G05B2219/40304,G05B2219/41342,G05B2219/41352,Y10S 706/904 | [
"B25J 9/08",
"B25J 9/10",
"B25J 9/06",
"B25J 19/00",
"B25J 9/12",
"B25J 9/16",
"B25J 17/02",
"B25J 15/10",
"B25J 18/06",
"B25J 9/00",
"G05B 19/414"
] | 40,307 |
477,749,917 | 2017-04-21 | 58,606,110 | N | The invention refers to an implantable pulse generator system (10) that comprises a nerve stimulation unit (80) for generating and delivery of vagal nerve stimulation pulses, at least one autonomic tone sensor (82) for determining an autonomic status of a user and generating an autonomic status representing signal and a control unit (62) that that is connected to the nerve stimulation unit (80) and the autonomic tone sensor (82). The control unit (62) is configured to control the nerve stimulation unit (80) to generate vagal nerve stimulation pulse trains that are adapted to cause vagal nerve stimulation (VNS) with varying intensity, depending on the autonomic status representing signal. The control unit (62) is further configured to evaluate the autonomic status representing signal in a moving window and to thus generate an evaluated autonomic status representing signal. Further, the control unit (62) is configured to gradually increase the intensity of VNS when the evaluated autonomic status representing signal indicates an autonomic tone that is shifting toward more sympathetic dominance, and gradually decrease the intensity of VNS when the autonomic status representing signal indicates an autonomic tone that is shifting toward more parasympathetic dominance, wherein the gradual increase and the gradual decrease of the intensity of the VNS follow two different curves. | en | IMPLANTABLE PULSE GENERATOR SYSTEM FOR VAGAL NERVE STIMULATION | 22509_DE | 55700937_US,307577_US,53461472_US | A61N 1/36053,A61N 1/36114,A61N 1/36139,A61N 1/3615,A61N 1/36171,A61N 1/36175 | [
"A61N 1/36"
] | 108,398 |
442,718,243 | 2014-01-29 | 53,588,782 | Y | The invention discloses an intelligent machine augmented reality implementation method. The intelligent machine augmented reality implementation method comprises the following steps that firstly, an intelligent machine sensor accurately determines the attitude of an intelligent machine; secondly, the intelligent machine acquires the peripheral targets of the intelligent machine and determines the positions of the targets in video frame images; and thirdly, various information of the displayed targets are overlapped at the target parts in the video windows of the intelligent machine. According to the invention, the functions of augmented reality e-commerce, friend and shop position searching, overlapped issue of shop advertisement information, photographing measurement and mapping, live-action playing and the like can be realized. The invention provides the video-based live-action intelligent machine information superpose service scheme; live-action images photographed by an intelligent airborne camera, names of places, directions and names of places required to be searched by users can be marked on the live-action video image; the position and orientation relationship among the clients of intelligent machine users (cell phones, tablet personal computers, laptops or cameras, wearable equipment and the like) can be previewed and observed by video live-actions conveniently. | en | Intelligent machine augmented reality implementation method | 18790940_ | 51853387_,18790940_ | G01C 21/00,G06V 20/20 | [
"G01C 21/00"
] | 94,765 |
521,534,070 | 2019-09-06 | 64,997,051 | N | The invention provides a combined detachable children table and chair, which comprises a legless chair and a fixed table; the legless chair comprises a seat surface and a chair back support, wherein the chair back support is fixedly connected with the rear side of the seat surface; the fixed table comprises a desktop and legs, and the legs are fixed at the bottom of the table top; the seat surfaceof the legless chair and the desktop of the fixed table are combined into a drawer-shaped matching structure; when the desktop of the fixed table is inserted into the seat surface of the legless chair, the legless chair and the fixed table are combined into a legged chair; when the desktop of the fixed table is separated from the seat surface of the legless chair, the independent legless chair and the fixed table are formed. The combined detachable children table and chair provided by the invention overcomes the defects of the prior art, has a simple structure, has a combined and detachable function, greatly saves the storage space, is convenient to transport, considers the use safety and the simplicity of the furniture for children scientifically and strictly, enables the children to independently assemble and disassemble and actually operate the combined detachable children table and chair, and trains the practical ability of the children in the process of using the furniture. | en | Combined detachable children desk and chair | 42402088_ | 40754592_,40254669_ | A47D 1/006,A47D 3/00,A47D 11/002 | [
"A47D 1/00",
"A47D 11/00",
"A47D 3/00"
] | 133,530 |
524,982,158 | 2019-07-04 | 69,059,390 | N | The present invention relates to a brainwave recognition system capable of outputting a user′s thought on a display of a computer in a character or a voice. According to the present invention, the brainwave recognition system comprises the steps of: storing a signal wave in a storage device to form a memory; executing a predetermined preprocessing process required for recognition in a step of inputting language of a brainwave outputted through an electrode; dividing the preprocessed brainwave signal into a mute section and a language brainwave section; extracting a parameter expressing a characteristic of the language brainwave for each section for a frame from a signal of the divided language brainwave section; extracting a frequency band exceeding a reference region set through the extracted parameter as a language brainwave signal; recognizing the language brainwave signal with respect to the outputter of the language brainwave; converting the characteristics of the brainwave, such as strength, pitch and the like, into a digital signal to be analyzed and comparing the digital signal with brainwave data stored in the memory so as to allow a processor to automatically determine a linguistic meaning included in the brainwave; and outputting the linguistic meaning included in the brainwave as a voice signal or a character to be displayed through a speaker or on a display. | en | Brainwave recognition system | 64420088_KR | 64420088_KR | A61B 5/00,A61B 5/24,A61B 5/369,G06F 3/01,G06F 3/015,G06F 3/023,G06F 3/0233,G06F 3/16,G06F 3/167,G06F 16/90,G06N 20/00,G10L 13/02,G10L 15/26,H04W 4/80 | [
"G10L 15/26",
"G10L 13/02"
] | 136,136 |
21,491,014 | 2006-01-13 | 37,912,931 | Y | Partial discharge signals from a partial discharge detector (fig 1, 130) coupled to high voltage power machinery (fig 1, 100) are automatically identified using a neural network. The partial discharge identifying method includes: plotting a graph of successive discharges, D n: D n-1, that is phase of a detected discharge against phase of the preceding detected discharge; transforming the graph; extracting a phase dependant summation and a phase independent summation; and inputting both of these to a neural network engine. The phase independent summation may be compared with phase dependant summation after phase shifting the phase dependant summation by 120 degrees or 240 degrees or other phases generated by training of the neural network, and may involve multiplication, and integration of the result. The result of such phase shifting may further be cross correlated with reference phase dependent summation and reference phase independent summation and then reasoning that where the correlation is a maximum is a phase of power applied to a point where a discharge signal is generated. Partial discharges can be identified without detecting phase information of the applied power. Partial discharges may be detected in three-phase machinery, such as transformers, gas insulated switchgear and power transmission lines, and power cables, and may be measured with a portable device. | en | Input vector formation method of neural networks for auto-identification of partial discharge source | 7194296_KR | 28062689_KR,28062688_KR,28062691_KR,28062690_KR | G01R 31/12,G01R 31/1254,G01R 31/14,G06N 3/06,G06N 3/063 | [
"G01R 31/12",
"G01R 31/08"
] | 22,469 |
42,195,737 | 1999-09-24 | 3,810,375 | N | A computer implemented test for the determination of candidate cognitive intelligences such as fluid ability, crystallized ability, broad visualization, broad auditory function, short-term acquisition and retrieval, tertiary storage and retrieval, broad speediness function, and broad quantitative ability, presents the candidate with sequences of questions to be answered, with at least some to the questions having multiple choice answers. The candidate's answer to each of the questions is obtained by the test, as is the time taken to answer each question and an indication of the confidence that the question has been correctly answered. The confidence indication is provided by the candidate nominating, for each answer, one of a plurality of confidence bands that best corresponds with their confidence that the answer was correct. For the multi-choice questions, the number of confidence bands corresponds to the number of choices for the answers. For example, if the answers are simply YES/NO then the confidence bands are 50/50%, whereas if five possible answers might be chosen, then the confidence bands are 0-20%, 20-40%, 40-60%, 60-80%, and 80-100%, with 0-20% indicating that one has made a straight guess, 40-60% indicating that one has made an informed guess but is not sure, and 80-100% indicating that one is very sure that the choice is the correct answer to the question. | en | Computerised intelligence testing with multiple choice answer confidence rating | 33971098_ | 33971099_,33971101_,33971100_ | G09B 7/06 | [
"G09B 19/00",
"G09B 7/06",
"G09B 7/00",
"G06F 19/00",
"G06Q 10/00"
] | 27,960 |
527,044,670 | 2018-11-27 | 64,919,836 | N | A three-dimensional face image reconstruction method, a three-dimensional face image reconstruction apparatus, a three-dimensional face image reconstruction hardware apparatus, and a computer-readable storage medium. The three-dimensional face image reconstruction method comprises: acquiring a real two-dimensional face key point and a predicted two-dimensional face key point (S1); iteratively optimizing expression coefficients by means of solving a first loss function composed of the real two-dimensional face key point, the predicted two-dimensional face key point and a preset additional regular constraint term, wherein the additional regular constraint term is used for constraining the expression coefficients, such that the expression coefficients characterize real states of a face (S2); and reconstructing a three-dimensional face image according to the expression coefficients (S3). Expression coefficients are iteratively optimized by means of solving a first loss function composed of a real two-dimensional face key point, a predicted two-dimensional face key point and a preset additional regular constraint term for constraining the expression coefficients, such that the expression coefficients can represent real states of a human face, thereby being capable of optimizing three-dimensional face image reconstruction technology and obtaining the real states of the face. | en | THREE-DIMENSIONAL FACE IMAGE RECONSTRUCTION METHOD AND APPARATUS, AND COMPUTER-READABLE STORAGE MEDIUM | 77009004_CN | 63840366_CN | G06T 7/50,G06T 15/00,G06T 17/00,G06T 19/20,G06T2200/04,G06T2207/20081,G06T2207/20084,G06T2207/30196,G06T2215/16,G06T2219/2016,G06V 20/647,G06V 20/653,G06V 40/166,G06V 40/168,G06V 40/172,G06V 40/174,G06V 40/175 | [
"G06T 7/50"
] | 137,438 |
549,162,754 | 2021-03-12 | 71,764,201 | N | An embodiment of the present application discloses a method, an apparatus, an electronic device, a storage medium, and a program for learning knowledge representation, and relates to natural language processing, in-depth learning, and knowledge graph technologies. One embodiment of the method includes the steps of: sampling a knowledge graph subgraph from a knowledge base; ranking the knowledge graph subgraph to acquire a ranked text; and learning and obtaining the knowledge representation of each character of the ranked text by reading out the ranked text according to the rank of the knowledge graph subgraph using a previously-trained language model. In the method of the present embodiment, the knowledge representation learning relates to learning of relationship representation with an entity of the knowledge basis, in which a semantic association with the relationship with the entity in a low-dimensional space is efficiently calculated, a data scarcity problem is solved, and the performance of obtaining, fusing, and inferring the knowledge is remarkably improved. The strong knowledge acquisition capability of the previously-trained language model and the capability of analyzing a context are used, such that the knowledge representation trained based on the previously-trained language model may more excellently represent the complex relationship in the knowledge base. | en | METHOD AND APPARATUS FOR LEARNING KNOWLEDGE REPRESENTATION DEVICE STORAGE MEDIUM AND PROGRAM | 67670099_CN | 64863427_,72888783_,60601909_,80801097_,80915685_ | G06F 16/3344,G06F 16/367,G06F 40/137,G06F 40/205,G06F 40/284,G06F 40/295,G06F 40/30,G06N 3/0454,G06N 5/02,G06N 5/022,G06N 7/005,G06N 20/00 | [
"G06N 20/00",
"G06N 7/00"
] | 152,210 |
523,482,920 | 2018-08-14 | 64,088,744 | N | A musical model training method, comprising: acquiring an MIDI music data set, the MIDI music data set comprising a plurality of MIDI music scores (S11); extracting a feature vector of each of the MIDI scores (S12); inputting the feature vectors into a structured support vector machine for training to obtain a musical model (S13), comprising: constructing a discriminant function f(x; w), x being a feature vector, w being a parameter vector, outputting a data value formula (I) of the maximized discriminant function f(x; w) as a predicted value; calculating the predicted value and a real value according to a preset loss function formula (II), wherein P is a probability distribution of data and is replaced with an empirical risk formula (III) obtained through calculation by training sample data; using an optimization formula (IV) of an SVM to solve the unique parameter vector ω, such that the empirical risk formula (III) by training sample data is zero; obtaining the discrimination function f(x; ω) by means of the solution, and finally outputting a music time sequence. The present invention further provides a music creation method and device, a terminal, and a storage medium. The present invention is the first example of using artificial intelligence to train a musical model, and the trained musical model can improve the feature extraction capability of MIDI music scores. | en | MUSICAL MODEL TRAINING METHOD, MUSIC CREATION METHOD, DEVICES, TERMINAL AND STORAGE MEDIUM | 55411177_CN | 55133108_CN,74198113_CN,57436457_CN,42445698_CN | G10H 7/00,G10H2210/111,G10H2240/021 | [
"G10H 1/00",
"G10H 7/00"
] | 134,892 |
553,835,077 | 2021-05-06 | 76,720,991 | N | The invention discloses an unmanned aerial vehicle obstacle avoidance and path planning method, which combines Monte Carlo tree search and contrast reinforcement learning algorithms, overcomes the problem of insufficient signals of a GPS (Global Positioning System) in a specific environment, and realizes the obstacle avoidance and path selection functions of an unmanned aerial vehicle in a complex environment. The method includes the following steps: (1) constructing an environment simulator; (2) the unmanned aerial vehicle obtains observation information in the simulator, and the observation information is processed by using a deep neural network; (3) performing coarse-grained path planning by utilizing Monte Carlo tree search, and generating stage target points in the advancing path of the unmanned aerial vehicle for training of a subsequent reinforcement learning algorithm; (4) learning a fine control strategy and fine-grained path planning of the unmanned aerial vehicle by using reinforcement learning; (5) accelerating unmanned aerial vehicle training based on comparative learning. According to the method provided by the invention, the unmanned aerial vehicle has an autonomous decision-making capability in a complex environment with high difficulty coefficient and large uncertain factors, and can cope with emergencies to a certain extent to complete specific tasks. | en | Unmanned aerial vehicle obstacle avoidance and path planning method | 62229248_ | 75497149_,75074386_,60695377_,65081130_,73166872_,66127715_,58702089_,66134549_,80736721_ | G05D 1/101 | [
"G05D 1/10"
] | 155,312 |
267,081,177 | 2007-05-18 | 38,723,307 | Y | There is provided a character string updated degree evaluation program that enables quantitative grasping of an amount of intellectual work through editing and updating of character strings. A text subjected to comparison is divided into common part character strings each having a length greater than or equal to a threshold value, and non-common part character strings. A number of edited points from the original text and a context edit distance are calculated based on the rate of the common part character strings and the occurrence pattern thereof. A number of edited point is acquired from a number of elements contained in a common part character string set, and a context edit distance is acquired from a change in an order of occurrence of the common part character strings. Calculation of a new creation percentage and analysis by an N-gram are performed on the non-common part character string. The new creation percentage is acquired from the total length of the elements contained in a non-common part character string set, and a new creation novelty degree is acquired from a non-partial matching rate between a non-common part character string set and an element contained in the non-common part character string set. Calculations for the common part character string set and for the non-common part character string set are united, thereby calculating a text updated degree. | en | Character string updated degree evaluation program | 8154311_JP,11116260_JP,11116258_JP,11116259_JP | 11116260_JP,11116259_JP,11116258_JP | G06F 16/90344,G06F 40/194 | [
"G06K 9/00",
"G06K 9/68"
] | 57,711 |
559,440,330 | 2021-07-29 | 78,104,956 | N | The invention relates to an expressway heterogeneous traffic flow variable speed limit control method based on edge calculation, which comprises the following steps: based on multi-objective optimization, carrying out standardization processing on average delay and average queuing length indexes by utilizing a threshold value method, and setting the indexes as a reward function of the variable speed limit control method; deploying an RSU and a variable speed limit control agent to integrate an edge computing node, and extracting expressway heterogeneous traffic flow information to serve as a state space of an EDQN algorithm; performing feature dimension reduction on the state space of the heterogeneous traffic flow by using a convolutional neural network; importing a result output by the CNN network into a full connection layer, executing an action and outputting a Q value of a current time step; storing samples in a Prioritized reply Buffer, wherein the KL divergence is used as the priority of training samples for sorting, so that the loss function is minimized, and the variable speed limit control effect is effectively improved; and 6, judging whether the greedy algorithm converges or not. According to the method, the reward function based on multi-objective optimization is considered, the overall traffic efficiency is improved, and bottleneck congestion is reduced. | en | Expressway heterogeneous traffic flow variable speed limit control method based on edge calculation | 82264179_,58632991_ | 63074767_,60791782_,64938521_ | G06N 3/0454,G06N 3/06,G06N 3/08,G06Q 10/04,G06Q 50/26,G08G 1/0125,G08G 1/052 | [
"G08G 1/052",
"G06N 3/04",
"G08G 1/01",
"G06N 3/06",
"G06Q 50/26",
"G06N 3/08",
"G06Q 10/04"
] | 159,157 |
16,852,487 | 1990-09-18 | 11,305,343 | N | The method includes the preliminary steps of: determining and storing, for each word in the vocabulary, at least one corresponding 'phonetic model' constituted by a sequence of phonetic symbols corresponding to the phonemes of the word; and determining and storing, for a limited set of basic phonemes or 'prototypes' spoken by the speaker, the associated values assumed by predetermined characteristic parameters indicative of the energy and spectral composition of that phoneme. Each time it is carried out, the method then includes the steps of: generating an electrical sound signal corresponding to each isolated word spoken by the speaker; sampling the electrical sound signal and determining the values assumed by the characteristic parameters for each sample, for each sample, comparing the corresponding values of the characteristic parameters with the previously-stored values of the same parameters of the basic phonemes or 'prototypes'; determining, on the basis of this comparison, a sequence or 'string' of phonetic symbols constituting an approximate representation of the phonemes contained in the isolated word spoken, and comparing the phonetic 'string' with all the phonetic 'models' of the vocabulary and selecting, by means of a dynamic programming algorithm, a small number of models ('candidate' models) whose characteristics best correspond to those of the 'string'. | en | A METHOD AND EQUIPMENT FOR RECOGNISING ISOLATED WORDS, PARTICULARLY FOR VERY LARGE VOCABULARIES | 630427_IT | 2961249_IT | G10L 15/12,G10L 15/26,G10L2015/025 | [
"G10L 15/10",
"G10L 15/26",
"G10L 15/12",
"G10L 15/02",
"G10L 11/00"
] | 18,009 |
51,445,940 | 1974-09-27 | 15,079,036 | Y | An auto-refractometer according to this invention comprises a light beam source for producing a measuring ray wherein beams from a pair of invisible infrared ray emission diodes are alternately flickered, and real images of the beams are converged on respective sides of ridges at the output side of a V-shape coincidence prism at positions close to the ray axis thereby reducing the horizontal distance between the beams. A measuring optical system includes a transmitting collimater which projects said measuring ray passing through a vertical slit to permit focusing of a slit image on the retina. A receiving collimator collects beams reflected from the cornea and the retina, and by a semi-transparent mirror, and directs them via a reflection mirror to an interference bar which interferes with the beam from the cornea. A split prism divides the beam received from the retina, and a pair of elements photo-electrically convert the divided beam into electrical outputs. An electrical circuit includes a movable mechanism integrally associated with a lens system to focusing the image reflected from the retina on said split prism. The circuit produces high-speed flickering of the infrared ray emission diodes and responds to differential outputs from the photo-electric elements to cause said movable mechanism to move by an amount corresponding to the refractory diopter of the eye. | en | Auto-refractometer | 8330323_JP,7154385_JP | 8350879_JP | A61B 3/103,A61B 3/156 | [
"A61B 3/15",
"A61B 3/103",
"A61B 3/10"
] | 42,098 |
552,149,442 | 2021-06-07 | 76,392,368 | N | There is described a neural network system for determining a similarity measure between a query data item and a set of support data items. The neural network system is implemented by one or more computers and one or more storage devices storing instructions that when executed by the one or more computers cause the one or more computers to perform operations comprising receiving the query data item and obtaining a support set of one or more support data items comprising a support key embedding and a support value embedding for each respective support data item in the support set. The operations further comprise generating a query key embedding for the query data item using a key embedding neural network subsystem configured to process a data item to generate a key embedding. The operations also comprise generating an attention map based upon a similarity between the query key embedding and the support key embedding for each respective support data item. The operations additionally comprise generating a query value embedding for the query data item using a value embedding neural network subsystem configured to process a data item to generate a value embedding; and determining a similarity measure between the query data item and the support set based upon the attention map, the support value embedding for each respective support data item, and the query value embedding. | en | CROSS-TRANSFORMER NEURAL NETWORK SYSTEM FOR FEW-SHOT SIMILARITY DETERMINATION AND CLASSIFICATION | 46615417_GB | 29080459_GB,79111836_GB,76146627_GB | G06N 3/0445,G06N 3/0454,G06N 3/0481,G06N 3/08 | [
"G06N 3/08",
"G06N 3/04"
] | 154,274 |
521,392,829 | 2019-07-29 | 68,326,409 | N | The invention provides a gesture recognition method based on multichannel electromyographic signal correlation. The gesture recognition method comprises the following steps: firstly, de-noising electromyographic signals acquired by each channel; detecting a movable section according to the signal amplitude intensity; then, performing structured processing on the active section signal; processing the signal into a format with time correlation by superposing a plurality of continuous time windows; and finally, realizing a hybrid neural network CRNet based on the CNN + RNN neural network, and establishing a classifier for gesture recognition, wherein the input of the classifier is a signal subjected to structured processing, and the output of the classifier is a gesture classification probability, and the trained classifier is utilized to perform gesture recognition. For the gesture recognition method, only a plurality of myoelectricity sensors are used for collecting original signals while extra complex equipment is not needed, so that operation is convenient, and environmental adaptability is good. According to the gesture recognition method, the noise in the signal can be effectively removed, and the used classifier reduces the computing resources and improves the recognition efficiency, and the gesture recognition method is more suitable for engineering application. | en | Gesture recognition method based on multichannel electromyographic signal correlation | 19531314_,41740043_ | 17966558_,18787908_,18711691_,20501553_ | G06F 3/015,G06F2203/011,G06K 9/00516,G06K 9/00523,G06K 9/00536 | [
"G06K 9/00",
"G06F 3/01"
] | 133,429 |
53,663,776 | 2007-07-02 | 38,876,701 | Y | A method for detecting a nodule in image data including the steps of segmenting scanning information from an image slice to isolate lung tissue from other structures, resulting in segmented image data; extracting anatomic structures, including any potential nodules, from the segmented image data, resulting in extracted image data; and detecting possible nodules from the extracted image data, based on deformable prototypes of candidates generated by a level set method in combination with a marginal gray level distribution method. Embodiments of the invention also relate to an automatic method for detecting and monitoring a nodule in image data, where the method includes the steps of determining adaptive probability models of visual appearance of small 2D and large 3D nodules to control evolution of deformable models to get accurate segmentation of pulmonary nodules from image data; modeling a first set of nodules in image data with a translation and rotation invariant Markov-Gibbs random field (MGRF) of voxel intensities with pairwise interaction analytically identified from a set of training nodules; modeling a second subsequent set of nodules in image data by estimating a linear combination of discrete Gaussians; and integrating both models to guide the evolution of the deformable model to determine and monitor the boundary of each detected nodule in the image data. | en | Automatic detection and monitoring of nodules and shaped targets in image data | 10113320_US,10109683_US,5463449_US | 10109683_US,10113320_US | G06K 9/6215,G06T 7/0012,G06T2207/30064,G06V 10/7553,G06V 10/761,G06V 20/695 | [
"G06K 9/00",
"G06K 9/40",
"G06K 9/62"
] | 46,720 |
526,575,940 | 2019-11-04 | 69,501,051 | N | The invention relates to a scientific and technological literature big data classification method, and belongs to the technical field of big data text mining. The method comprises the steps that S1, atopological relation graph is constructed, wherein the graph is composed of nodes and edges, and the nodes are keywords in literatures, sentences and STKOS; wherein the edges are literatures and sentences, literatures and keywords, sentences and sentences, sentences and keywords and relationships between keywords; S2, converting the topological relation graph into a topological relation matrix; S3, training the classification model by using the training data and the topological relation matrix constructed by the training data; and S4, literature classification: inputting the batch of literatures to be classified into the trained classification model to obtain the probability that the literatures to be classified belong to different categories. Compared with the prior art, the topologicalrelation graph and sentences constructed by the method consider the factors of the word order, and the keywords are terms indexed by experts, so that the classification accuracy is improved; and the adopted classification model does not need repeated training, and sampling calculation is carried out on the input of each convolution layer, so that the classification efficiency is improved. | en | Scientific and technological literature big data classification method | 58997498_ | 66975666_,59362586_,58571956_,61133827_ | G06F 16/35,G06N 3/0445,G06N 3/0454,G06N 3/08 | [
"G06N 3/08",
"G06F 16/35",
"G06N 3/04"
] | 137,098 |
551,558,462 | 2020-11-17 | 69,226,257 | N | A nerve regulation system, comprising a first acquisition module (100), a first stimulation module (200), a first control module (300), and a second stimulation module (400); the first acquisition module (100), the first stimulation module (200) and the second stimulation module (400) are electrically connected to the first control module (300); the first control module (300) receives an acquisition instruction and then sends same to the first acquisition module (100); the first acquisition module (100) acquires a first electroencephalogram signal after receiving the acquisition instruction; after the first electroencephalogram signal is diagnosed to be abnormal, the first control module (300) receives the first instruction and then sends same to the first stimulation module (200), and the first stimulation module (200) releases first electrical stimulation to a first brain area after receiving the first instruction; the first control module (300) receives a second instruction and then sends same to the second stimulation module (400), and the second stimulation module (400) releases second electrical stimulation to a second brain area after receiving the second instruction. The system has minimal side effects and remarkable treatment effects, can treat a plurality of brain areas simultaneously by means of a plurality of stimulation modules and has higher efficiency. | en | NERVE REGULATION SYSTEM AND WEARABLE NERVE REGULATION DEVICE | 66824291_CN | 63685557_CN,80389270_CN,81423090_CN | A61B 5/291,A61B 5/369,A61B 5/4836,A61B 5/6803,A61N 1/0484,A61N 1/20,A61N 1/36025,A61N 1/36031,A61N 1/36034 | [
"A61N 1/04"
] | 153,922 |
479,354,711 | 2016-05-04 | 57,014,067 | N | The present invention discloses a method for defining a metropolitan area based on a regional inter-city flow intensity measurement model. The method includes the following steps: 1. determining an urban agglomeration regional range to be measured and inter-city flow associated cities; 2. measuring, according to the determined associated cities, itemized regional inter-city flow intensities of each group of the associated cities, where five items, namely, economic flow, passenger flow, freight flow, technical flow, and information flow are included; 3. calculating through weighing, according to the five itemized regional inter-city flow intensity values, integrated inter-city flow intensities and membership degrees thereof between a central city and other associated cities; 4. recording the above data into an ArcGIS library, and establishing a regional inter-city flow database through association between spatial data and table data; 5. performing four groups of naturally intermittent type clustering analysis on data in the established regional inter-city flow database, and finally determining the range of a metropolitan area in a narrow sense and in a broad sense. By using the present invention, city linkage intensities can be measured quantitatively and comprehensively in a multi-factor mode, and accordingly the multi-circle range of a metropolitan area is defined. | en | METHOD FOR DELINEATING METROPOLITAN AREA BASED ON REGIONAL INTER-CITY FLOW INTENSITY MEASURING MODEL | 55643953_CN | 55627788_CN,55651550_CN | G06F 16/29,G06F 30/00,G06F 30/13,G06Q 30/0205,G06T 11/206,G06T 11/60,G09B 29/007 | [
"G09B 29/00",
"G06T 11/60",
"G06F 17/50",
"G06F 17/30"
] | 109,323 |
457,562,155 | 2015-10-27 | 56,164,822 | Y | A method for obtaining object surface topology in which image frames of a scene (e.g., video frames from a user passing a smartphone camera over an object) are transformed into dense feature vectors, and feature vectors are correlated to obtain high precision depth maps. Six dimensional pose is determined from the video sequence, and then used to register patches of pixels from the frames. Registered patches are aligned and then correlated to local shifts. These local shifts are converted to precision depth maps, which are used to characterize surface detail of an object. Feature vector transforms are leveraged in a signal processing method comprising several levels of interacting loops. At a first loop level, a structure from motion loop process extracts anchor features from image frames. At another level, an interacting loop process extracts surface texture, as noted. At additional levels, object forms are segmented from the images, and objects are counted and/or measured. At still a higher level, the lower level data structures providing feature extraction, 3D structure and pose estimation, and object surface registration are exploited by higher level loop processes for object identification (e.g., using machine learning classification), digital watermark or bar code reading and image recognition from the registered surfaces stored in lower level data structures. | en | Signal detection, recognition and tracking with feature vector transforms | 5251618_US | 5251619_US | G06T 7/33,G06T 7/579,G06T2207/20016 | [
"G06T 7/579",
"G06T 7/33",
"G06T 7/00",
"G06T 7/20"
] | 101,961 |
4,337,316 | 1989-11-29 | 23,060,357 | N | Paraplegic patients and certain other paralyzed patients who suffer from an upper motor unit spinal cord injury and undergo FNS (Functional Neuromuscular Stimulation) experience muscle fatigue within a time span that is usually shorter than is normal, but have no sensation of this fatigue due to paralysis. When FNS is used functionally, as is its implied purpose, to stand and walk, the patients need the support of a walker or canes or elbow crutches, and are unable to manually adjust FNS levels or pulse widths to compensate for that fatigue, since the time for this adjustment is exactly when the patients cannot divert attention and hands to anything else. Under FNS, the stimulated muscles produce an EMG (electromyographic) signal at the stimulated site, in response to that stimulation. This response-EMG undergoes pattern changes with the progression of fatigue. The present invention employs pattern recognition of the response-EMG where pattern parameters are identified whose variation with time is a function of the progression of muscle fatigue. This time variation is employed to adjust FNS pulse width and/or pulse level to compensate for that fatigue in an automatic manner that does not require the patient's attention. The present invention also provides for diagnostic uses of this pattern recognition, and for muscle contractions other than for standing or walking. | en | IMPROVED CONTROL OF FNS VIA PATTERN VARIATIONS OF RESPONSE EMG | 16263985_US | 16263986_US | A61B 5/389,A61N 1/36003 | [
"A61N 1/36",
"A61B 5/0488"
] | 4,096 |
502,201,546 | 2017-01-16 | 59,362,354 | N | A material evaluating method includes: a brain activity measuring step of presenting a training material to a test subject and measuring a brain activity by using a brain activity measuring unit; a semantic space building step of building an intracerebral semantic space representing an intracerebral semantic relation between the brain activity and a word appearing in a language description on the basis of a measurement result acquired in the brain activity measuring step and the language description acquired by performing natural language processing for a content of the training material by using a semantic space building unit; a first estimation step of estimating a first position corresponding to a content of a new material in the intracerebral semantic space from a language description acquired by performing natural language processing for the content of the new material by using a material estimating unit; a second estimation step of estimating a second position corresponding to an object word in the intracerebral semantic space from the object word representing an object concept of the new material by using an object estimating unit; and an evaluation step of evaluating the new material on the basis of the first position estimated in the first estimation step and the second position estimated in the second estimation step by using an evaluation processing unit. | en | MATERIAL EVALUATING METHOD AND MATERIAL EVALUATING APPARATUS | 57956291_JP | 5714237_JP,52558713_JP,56922152_JP | A61B 5/0042,A61B 5/0263,A61B 5/377,A61B 5/4064,A61B2576/026,G01R 33/4806,G01R 33/5608,G01R 33/563,G16H 30/20 | [
"A61B 5/026",
"A61B 5/00",
"G16H 30/20",
"G01R 33/563",
"G01R 33/56",
"G01R 33/48"
] | 122,072 |
506,649,697 | 2018-07-24 | 65,040,167 | N | Provided is an environment equipment control device with which it is possible to immediately perform control for improving the physical/mental state of a user. An environment equipment control device (100) for controlling a plurality of types of environment equipment (10, 20, 30), wherein the environment equipment control device (100) comprises: an ascertaining unit (60) that ascertains current physical/mental state information pertaining to a user, environmental condition information, and target relationship information that represents the relationship between a targeted physical/mental state and the current physical/mental state; a learning control plan output means (80) that outputs a control plan for each combination of the plurality of types of environment equipment (10, 20, 30) in accordance with the current physical/mental state information, the environmental condition information, and the target relationship information; and a selection control unit (90) that selects and implements one control plan from among a plurality of control plans outputted by the learning control plan output means (80); the learning control plan output means (80) using the physical/mental state of the user that has changed due to the control plan selected by the selection control unit (90) to perform learning so as to update the method for specifying the control plan to be outputted. | en | ENVIRONMENT EQUIPMENT CONTROL DEVICE | 64807909_JP,67886625_JP | 70403912_,70556169_,70235209_,70451269_,70313013_,70328986_,70269088_,70919311_ | F24F 11/63,F24F 11/65,F24F 11/77,F24F2110/10,F24F2110/20,F24F2110/60,F24F2110/70,F24F2120/14,G06N 3/08,G06N 7/005,G06N 20/10,Y02B 30/70 | [
"F24F 120/00",
"F24F 11/63"
] | 124,706 |
54,137,196 | 2006-06-14 | 37,395,855 | N | The invention aims at improving the point-based elastic registration paradigm. Point-based elastic registration is typically carried out by finding corresponding point landmarks ( 2, 4 ) in both images and using the point correspondences as constraints to interpolate the global displacement field. A limitation of this approach is that it only ensures the correspondences between structures where point landmarks ( 2, 4 ) can be identified. Alternative concepts are limited by high computational costs for optimization. The concept of the invention provides a method and a system ( 1 ) wherein additional deformation field constraints are imposed by: partitioning (PART (I<SUB>S</SUB>, I<SUB>T</SUB>)) one or more restricted structures corresponding in the first ( 3 ) and the second ( 5 ) image and imposing additional constraints (f<SUP>Add</SUP><SUB>part</SUB>) derived from a-priori-knowledge to the one or more restricted structures. Preferred examples are i) pairs of interactively defined point landmarks ( 25 ), ii) landmarks resulting from automatic identification of corresponding structures in form of a line ( 23 ) or an area ( 27 ) or a form or a boundary ( 29 , <FIGREF IDREF='DRAWINGS'>FIG. 3</FIGREF>) thereof, iii) different material properties (tissue 1 , tissue 2 ) of corresponding structures, iv) physiological constraints establishing more general correspondences. | en | Method of Model-Based Elastic Image Registration For Comparing a First and a Second Image | 5213458_NL | 5216013_DE,10489443_DE | G06T 3/0081,G06T 7/33,G06T2207/30004 | [
"G06K 9/00"
] | 48,219 |
575,541,897 | 2021-01-28 | 75,697,793 | N | Provided in the present disclosure is a multimodal unsupervised pedestrian pixel-level semantic labeling method and system, the method comprising: performing three-dimensional reconstruction on an unmanned monitoring scene, and acquiring initial point cloud information of the monitoring scene; acquiring first point cloud information in the monitoring scene by using a Tof image acquisition device, registering the first point cloud information with the initial point cloud information and then executing a set difference operation to acquire second point cloud information, and projecting the second point cloud information on a horizontal plane to obtain a personnel point cloud information set; expanding and corroding a binary image after thresholding scene information acquired by an infrared image acquisition device to obtain a connected area information set; using positional relationships between calibrated cameras to project the personnel point cloud information set and the connected area information set into an image plane space of an RGB image acquisition device so as to perform a set intersection operation, and acquiring a corresponding human body area set in response to when a common pixel exceeds a first threshold. The method and system fully integrate advantages of cameras having different modalities, and can effectively extract human pixel points in the scene. | en | MULTIMODAL UNSUPERVISED PEDESTRIAN PIXEL-LEVEL SEMANTIC LABELING METHOD AND SYSTEM | 79125488_CN,84756848_CN | 84573173_CN,82986998_CN,84754210_CN,82740424_CN,82565027_CN,82684363_CN | G06T 5/30,G06T 7/33,G06T 17/00,G06T2207/10048,G06T2207/30196,G06V 40/103 | [
"G06T 7/33",
"G06K 9/00",
"G06T 5/30"
] | 167,385 |
510,854,734 | 2018-07-19 | 44,167,727 | N | The present invention relates to, among other things, methods for treating trigeminal cephalgias such as migraine and migraine like headaches and other cerbrovascular conditions associated with pain and or inflammation. When non-steroidal anti inflammatory drugs (NSAIDs), such as ketoprofen, are applied locally using specific topical formulations immediate relief of pain is obtained. Intense pain is typically reduced to mild pain or no pain within 30 minutes of application of the topical formulation. The NSAID may be given in combination with other pharmacological agents, such as vasoconstrictors, opioids, decongestants and/or non-opioid migraine drugs, such as triptans and ergots an agents than affect serotonin receptors as agonists, antagonists or partial agonists. Drugs are delivered locally, targeting the nerve endings of the trigeminal nerve, as well as the occipital nerve and the intranasal terminals of the parasympathetic fibers originating in the Sphenopalatine ganglion. The administration preferably targets the extra cranial nerve endings of the trigeminal nerve in the temporal area, the extracranial occipital nerve endings in the occipital area, and the intranasal terminals of the trigeminal nerve and parasympathetic fibers originating in the Sphenopalatine ganglion. The delivery is carried out topically by way of injection or by transdermal application. | en | METHODS AND COMPOSITIONS FOR TREATING AND PREVENTING TRIGEMINAL AUTONOMIC CEPHALGIAS, MIGRAINE, AND VASCULAR CONDITIONS | 47280735_US | 12391469_US,11463704_US,12338840_US | A61K 9/0014,A61K 31/00,A61K 31/135,A61K 31/137,A61K 31/192,A61K 31/195,A61K 31/196,A61K 31/335,A61K 31/4045,A61K 31/485,A61K 45/06,A61K 47/14,A61K 47/20,A61P 23/00,A61P 25/04,A61P 25/06,A61P 25/08,A61P 29/00,A61P 43/00 | [
"A61K 31/335",
"A61K 9/00",
"A61K 47/14",
"A61K 31/135",
"A61K 47/20",
"A61K 31/00",
"A61K 31/137"
] | 126,684 |
502,536,479 | 2018-05-04 | 64,014,791 | N | A method and system are disclosed for a novel architecture in which competing suggestions, possibly generated by competing systems, are selected by a Cognitive Unit (CU). The CU observes the user context and learns which contextual circumstances affect the user's cognitive behaviour. Majority of the traditional models trained over multiple users fail to represent the individual because (1) they ignore personal bias toward certain decisions and (2) they don't have complete visibility of all options available to users (i.e. from competitive systems). The invention is ideally suited to interact with several other products as more and more modern products are using AIs to drive the user experience. That shifts traditional HCI towards a novel form of interaction that we call human-AI interaction (HAII). When applied to user experience, predictive models make decisions on users' behalf attempting to minimise user interaction while guiding them toward the completion of predefined funnels. This invention presents a novel approach using a personal model capable of partially replicating cognitive behaviours by learning personal situational biases using the CU. By leveraging the personal biases, the system allows the AI to learn situational biases otherwise not available to predictive models. Once trained cognitive unit can supplement the decision-making process of the user. | en | METHOD AND SYSTEM FOR A USER-SPECIFIC COGNITIVE UNIT THAT ENHANCES GENERIC RECOMMENDATION SYSTEMS | 54692886_GB | 54657165_GB,56852769_GB,57947860_GB,54710063_GB | G06F 9/451,G06F 9/461,G06F 11/3438,G06N 3/006,G06N 5/022,G06N 5/04,G06N 20/00 | [
"G06N 5/04",
"G06N 99/00",
"G06N 5/02",
"G06F 9/451",
"G06F 11/34",
"G06F 9/46"
] | 122,316 |
58,006,324 | 2009-01-20 | 40,900,947 | N | A choice that a user desires is efficiently made from many choices without giving a user and others the feeling of a difficult system to use or frustration for those who desire to make such a choice that a display position on a brain wave interface is clear.A brain wave interface system is provided with a brain wave signal measurement unit and an eye ball movement measurement unit that measure brain waves and an eye ball movement; an output unit that provides choices related to an operation of equipment on a screen; a highlight judgment unit that, when a predetermined period of time has passed at such timing as a starting point that a rotating angular speed of the eye ball movement is a condition equal to or less than a threshold value kept in advance, specifies a region in the screen at which a user gazes in accordance with the eye ball movement and determines a choice to be made highlighted; an interface unit that makes the determined choice highlighted and determines the operation of the equipment in accordance with an event related potential included in the brain waves at such timing as a starting point that the choice is highlighted; and a timing adjusting unit that adjusts initiation timing of the highlight in accordance with the eye ball movement during a period from the initiation of processing for the display of the screen up to the display of the screen. | en | BRAIN WAVE INTERFACE SYSTEM, BRAIN WAVE INTERFACE DEVICE, METHOD AND COMPUTER PROGRAM | 16095891_,6156118_JP,30545608_ | 30545608_,16095891_ | G06F 3/013,G06F 3/015,G06F2203/0381 | [
"A61B 3/113",
"G06F 3/048",
"A61B 5/0476",
"G06F 3/038",
"G06F 3/033",
"G06F 3/01"
] | 57,039 |
54,350,919 | 2007-12-21 | 39,585,367 | Y | In Pavlovian and instrumental conditioning, rewards typically come seconds after reward-triggering actions, creating an explanatory conundrum known as the distal reward problem or the credit assignment problem. How does the brain know what firing patterns of what neurons are responsible for the reward if (1) the firing patterns are no longer there when the reward arrives and (2) most neurons and synapses are active during the waiting period to the reward? A model network and computer simulation of cortical spiking neurons with spike-timing-dependent plasticity (STDP) modulated by dopamine (DA) is disclosed to answer this question. STDP is triggered by nearly-coincident firing patterns of a presynaptic neuron and a postsynaptic neuron on a millisecond time scale, with slow kinetics of subsequent synaptic plasticity being sensitive to changes in the extracellular dopamine DA concentration during the critical period of a few seconds after the nearly-coincident firing patterns. Random neuronal firings during the waiting period leading to the reward do not affect STDP, and hence make the neural network insensitive to this ongoing random firing activity. The importance of precise firing patterns in brain dynamics and the use of a global diffusive reinforcement signal in the form of extracellular dopamine DA can selectively influence the right synapses at the right time. | en | Solving the distal reward problem through linkage of STDP and dopamine signaling | 6165749_US,9184520_US | 9184520_US | G06N 3/006,G06N 3/02,G06N 3/049,G06N 3/063,G06N 3/0635,G06N 3/088,G06N 20/00 | [
"G06G 7/00",
"G06E 1/00",
"G06E 3/00",
"G06N 3/02"
] | 48,890 |
574,371,741 | 2020-12-25 | 74,940,986 | N | A stereo matching method (HybridNet) based on hybrid 2D convolution and pseudo 3D convolution, the method relating to the field of computer vision. The method comprises the following steps: extracting an image feature on the basis of a preset parameter, so as to obtain a feature map (S101); generating a cost volume on the basis of the feature map (S102); obtaining, by means of a PSMNet structure, a cost volume that has been subjected to cost aggregation, and finally, obtaining an initial disparity map by means of disparity regression; obtaining a residual cost volume by means of the initial disparity map, performing residual aggregation and then obtaining a disparity residual, so as to optimize the initial disparity map, wherein in the PSMNet structure and during residual aggregation, 3D convolution is replaced with a combination of hybrid 2D convolution and pseudo 3D convolution (S103); and performing depth map optimization on the disparity map by using a CSPNet method (S105). The function of 3D convolution is approximately implemented in combination with 2D convolution, and such a data switching operation does not include a learnable parameter and does not generate a calculation amount. By means of cost aggregation of hybrid 2D convolution and pseudo 3D convolution, the calculation amount of an existing model can be greatly reduced with a tiny loss in precision. | en | STEREO MATCHING METHOD BASED ON HYBRID 2D CONVOLUTION AND PSEUDO 3D CONVOLUTION | 63667549_CN | 63839086_CN,84733523_CN | G06T 7/33,G06T 17/00,G06T2207/10028,G06T2207/20081,G06T2207/20084,G06T2207/20228 | [
"G06T 7/33"
] | 166,876 |
34,668,087 | 1996-08-26 | 19,455,276 | N | PROBLEM TO BE SOLVED: To enable a soldering check device to be applied to a check for the shape of a soldered part, by a method wherein the soldering check device is equipped with a recognition means which is capable of learning the boundary conditions of the hierarchies of an object of recognition to classify receiving picture image data extracted from a measurement means and recognizing the shape of a soldered part imitating a human classifying ability basing on sampled learning data when a new picture image is inputted. SOLUTION: A recognition means which recognizes the shape of a soldered part is capable of calculating a relative relation between pattern hierarchies to classify for the shape of a soldered part 2 converting the optional sampled picture image data extracted from a color picture image acquisition section under specific lighting conditions into vector data for a check for a soldered part 2. A relative neural network 10 which is capable of learning the synapse weight of nerve cells through the result of a comparison between the relative value and the judgment value of a user and recognizing the classification condition of the sampled picture image data of the soldered part. A sampled pattern average error function is obtained comparing the vector relative value with the judgment result of a user, whereby the shape of a soldered part can be checked. | en | SOLDERING CHECK DEVICE AND METHOD TAKING ADVANTAGE OF RELATIVE NEURON NETWORK | 30338206_ | 31846108_ | G01N 21/95684,G01R 31/309,G01R 31/71,G06T 7/0004,G06T2207/10024,G06T2207/20084,G06T2207/30152,H05K 3/34 | [
"G01N 21/956",
"G01R 31/309",
"G01R 31/04",
"G06T 7/00",
"H05K 3/34",
"G01R 31/317",
"B23K 1/00"
] | 24,922 |
547,040,374 | 2019-11-13 | 69,209,649 | N | The present application relates to the technical field of artificial intelligence. Provided are a code-scanning vehicle moving method, an electronic apparatus and a computer-readable storage medium. The method comprises: scanning, by means of an application, a QR code of a vehicle to be moved, acquiring setting information of the vehicle to be moved, and sending the setting information to a called end of the vehicle to be moved; acquiring a virtual phone number of the called end, and calling the called end by means of the virtual phone number; when two parties are in a call mode, acquiring emotion information of the two parties by means of emotion recognition technology; when it is recognized that one of the two call parties is angry, switching the call of the two parties to an intelligent speech mode; and when it is recognized that the two call parties are calm, switching the call of the two parties from the intelligent speech mode to the call mode. In the present application, a called end is called by means of scanning a QR code to move a vehicle, and emotions of two parties are recognized by means of emotion recognition technology, such that the problems in existing vehicle moving manners of a process being tedious and time-consuming, intensification of a conflict between the two parties due to communication not being timely, and information leakage are solved. | en | CODE-SCANNING VEHICLE MOVING METHOD, ELECTRONIC APPARATUS AND STORAGE MEDIUM | 63942312_CN | 69055761_CN | G06K 17/0025,G10L 25/63,H04M 1/72406,H04M 3/22,H04M 3/42008,H04M2250/74,H04W 4/14 | [
"H04M 3/42"
] | 150,879 |
52,068,107 | 1996-02-09 | 6,501,730 | Y | PCT No. PCT/DE94/01290 Sec. 371 Date Feb. 9, 1996 Sec. 102(e) Date Feb. 9, 1996 PCT Filed Oct. 29, 1994 PCT Pub. No. WO95/12348 PCT Pub. Date May 11, 1995Method and apparatus for the analytical determination of glucose concentration in a biological matrix, wherein in a detection step light from a light emitter is irradiated into the biological matrix as primary light via a boundary surface of the biological matrix and light emerging from the the biological matrix through a boundary surface is being detected by a light detector in order to determine a measurable physical light property which is changed by interaction with the biological matrix and which correlates with the glucose concentration of said matrix. The glucose concentration is ascertained in an evaluation step on the basis of said change of the physical light property determined in at least one detection step in comparison with a calibration. In order to achieve by such a method good analytical accuracy in reagent-free and non-invasive manner, for instance to observe the change of the concentration of the analyzed substance (monitoring) over an adequate time interval, a measurable parameter corresponding to the light transit-time within the biological matrix between a defined irradiation site and a defined detection site and correlating with the glucose concentration is determined in the detection step. | en | Method and apparatus for the analysis of glucose in a biological matrix | 5236425_DE | 8645606_DE,5224739_DE,7265033_DE,8979275_DE | A61B 5/14532,A61B 5/1455,A61B2562/0242,G01N 21/41,G01N 21/47,G01N 21/49,G01N2201/0696 | [
"G01N 21/49",
"G01N 21/47",
"A61B 5/1455",
"G01N 21/41",
"A61B 5/00",
"A61B 5/145"
] | 43,377 |
479,632,537 | 2016-12-23 | 58,918,997 | N | The invention provides a device and system for adjusting emotion. The device comprises a shell body, an adjusting module which is arranged in the shell body, a communication module and a controller, wherein the adjusting module comprises a light adjusting unit, a sound unit and a gas fuming unit. The communication module is connected to the controller and is used for receiving adjusting parameters sent by an intelligent terminal; the controller is connected to the light adjusting unit, the sound unit and the gas fuming unit and is used for controlling a corresponding unit to work according to the adjusting parameters; the light adjusting unit is used for giving off white light which is rich in blue light and white-yellow light which lacks the blue light according to the control of the controller; the sound unit is used for playing music which can relieve the emotion according to the control of the controller; the has fuming unit is used for letting off beneficial steam which is beneficial to emotion adjusting. In addition, the device further provides functions of mobile phone screen projection and standby charge. According to the device and system for adjusting the emotion, depressed and anxious emotions of a user can be effectively adjusted, and the device and system have the advantages of being scientific, intellectualized, free of harm and personality targeted. | en | Device and system for adjusting emotion | 60144378_ | 60623807_,60453120_,59416092_,64758169_,60879326_,59301134_,59362927_ | A61M 21/02,A61M2021/0016,A61M2021/0027,A61M2021/0044,A61M2021/005,A61M2021/0077 | [
"A61M 21/02"
] | 109,410 |
560,909,976 | 2021-07-16 | 78,489,624 | N | A dangerous climbing behavior recognition algorithm in electric power field operation comprises the following steps that S1, a yov3 is built through a python 3.6. 5 + Keras engineering environment, backbone uses Darknet53, a loss function uses a cross entropy loss function, and pre-training parameters are loaded by using transfer learning; s2, collecting picture data of a to-be-detected electric power field through an electric power field monitoring video or field photographing, marking a helmet part in the picture data through a label, and then making the picture data into a training set which can be fed into a network; s3, an open source data set is obtained, the open source data set and the training set are combined into a total data set, and the total data set is expanded in a data enhancement mode; s4, after the total data set is fed into the network, an Adam optimizer is used for optimization, the total data set is used for training, and a final model is obtained; and S5, detecting the safety helmet in real-time electric power field operation through the model. The dangerous climbing behavior recognition algorithm in the electric power field operation is high in recognition rate and excellent in recognition efficiency, dangerous climbing behaviors of workers can be found in time, and unsafe factors caused by the dangerous climbing behaviors are restrained. | en | Dangerous climbing behavior recognition algorithm in electric power field operation | 61607900_ | 66491322_,69344862_,58403591_,66142897_,61028487_,59369617_,59981815_,61738408_,58465271_,60675687_,64870062_,65949650_ | G06K 9/6256,G06N 3/0454,G06N 3/08 | [
"G06K 9/62",
"G06K 9/00",
"G06N 3/08",
"G06N 3/04"
] | 159,987 |
425,643,084 | 2014-07-15 | 52,131,593 | N | Eine Treiberschaltung (100, 200, 500, 800, 900, 1000, 1100, 1200) zum Empfangen eines Dateneingangssignals und Erzeugen eines Ausgangssignals in Abh ngigkeit von mindestens dem Dateneingangssignal wird zur Verfugung gestellt. Die Treiberschaltung (100, 200, 500, 800, 900, 1000, 1100, 1200) enth lt ein Paar Differentialausgangsanschlusse (102), eine Strombetriebsart-Treibereinheit (110, 210) und eine Spannungsbetriebsart-Treibereinheit (120, 220, 520). Das Paar Differentialausgangsanschlusse (102) besitzt einen ersten Ausgangsanschluss und einen zweiten Ausgangsanschluss. Die Strombetriebsart-Treibereinheit (110, 210) ist angeordnet zum Ausgeben eines ersten Referenzstroms von einem Ausgangsanschluss des ersten Ausgangsanschlusses und des zweiten Ausgangsanschlusses und zum Empfangen des ersten Referenzstroms von dem anderen Ausgangsanschluss des ersten Ausgangsanschlusses und des zweiten Ausgangsanschlusses in Abh ngigkeit von dem ersten Dateneingangssignal. Die Spannungsbetriebsart-Treibereinheit (120, 220, 520) ist angeordnet zum Verbinden einer ersten Referenzspannung mit einem Ausgangsanschluss des ersten Ausgangsanschlusses und des zweiten Ausgangsanschlusses und zum Verbinden einer zweiten Referenzspannung mit dem anderen Ausgangsanschluss des ersten Ausgangsanschlusses und des zweiten Ausgangsanschlusses in Abh ngigkeit von dem ersten Dateneingangssignal. | en | Driver circuit for signal transmission and control method of driver circuit | 5217997_ | 48990109_,19859517_ | H04L 25/0272 | [
"H03K 19/00",
"H03K 17/94"
] | 91,225 |
54,312,377 | 1997-10-17 | 26,703,991 | Y | We have cloned and sequenced the cDNA encoding the 61 kD active fragment of a unique porcine chondrocyte nucleotide pyrophosphohydrolase (NTPPHase) from a porcine chondrocyte library. Degenerate oligonucleotides, corresponding to the N-terminal amino acid sequence of this peptide were hybridized to porcine chondrocyte cDNA and used to amplify DNA encoding the N-terminal sequence of 61 kD with the polymerase chain reaction (PCR). The PCR products were then used as probes to clone the entire open reading-frame for the 61 kD fragment from a porcine chondrocyte cDNA library. The length of the cloned cDNA was 2509 bp. Translation of the open-reading-frame predicts the 61 kD fragment to be a 459 amino acid protein. BLAST and FASTA analysis confirmed that this amino acid sequence was unique and did not possess high homology to any known proteins in the non-redundant protein data base. Limited homology (17%) between the 61 kD fragment and several prokaryotic and eukaryotic ATP pyrophosphate-lyase (adenylate cyclase) was detected. Northern blot analysis of porcine chondrocyte RNA showed that the DNA encoding the 61 kD fragment hybridized to a 4.3 kbp RNA transcript. Human chondrocyte RNA also hybridized to this porcine DNA probe. Coupled in vitro transcription translation of an expression vector containing the DNA insert in frame showed the expression of a 61 kD protein. | en | Cloned nucleotide pyrophosphohydrolase and uses thereof | 5342391_US | 8953825_US,10626008_US,10626007_US,6625610_US,10626010_US,10626009_US | C12N 9/16 | [
"C12N 9/16"
] | 48,763 |
53,935,436 | 2001-06-06 | 26,904,542 | Y | Techniques for finding sets of values that are relevant to attaining desired results, determining discrepancies between how different entities regard a set of values, and employing the discrepancies to determine how well individuals 'fit' with other individuals or communities, how well communities fit with each other, how an entity's values compare with a desired set thereof, how an entity's values change over time, and what progress an entity is making towards acquiring value hierarchies that are useful in attaining the desired results. All of the techniques involve having entities assign values to hierarchies, with the value's position in the hierarchy being represented by a rating number upon which arithmetic operations may be performed. Discrepancies between value systems may be determined by comparing the rating numbers which the entities assign the values. Values and ratings of them that are useful for attaining a desired result may be found by selecting values that appear to be useful for attaining the desired results and having sources rate the values and specify how well they have attained the desired result. Values and ratings with a high correlation to the desired result can thus be found and used to establish an ideal hierarchy of values for reaching the desired result. Hierarchies of values of entities may then be compared with the ideal hierarchy. | en | Techniques for objectively measuring discrepancies in human value systems and applications therefor | 10320990_US | 7951301_US,5781683_US | G06Q 10/06 | [
"G06Q 10/06"
] | 47,587 |
537,213,392 | 2020-02-28 | 72,236,065 | N | Exemplary embodiments of the present disclosure are directed towards a topic based artificial intelligence authoring and playback system, comprising: an interactive personal storytelling proxy system comprising a storytelling proxy authoring module, a storytelling proxy conversation management module, and a timeline module, the storytelling proxy authoring module configured to enable an Instigator to interactively create, train, test, refine and update an untrained state of storytelling proxies on an Instigator's computing device by transferring an interactive content and a media content into the plurality of storytelling proxies, the storytelling proxy conversation management module configured to orchestrate and synchronize different functions, and story structures into comprehensive, optimized interactive content with Interactors, the storytelling proxy authoring module configured to allow the Instigator to share the storytelling proxies with the Interactors from the Instigator's computing device thereby a semantic analysis of the storytelling proxy authoring module allows the storytelling proxies gets smarter through interactions from an Interactor's computing device by Interactors, the timeline module configured to distribute the storytelling proxies publicly on a home timeline after the Instigator satisfied with a trained state of the storytelling proxies. | en | TOPIC BASED AI AUTHORING AND PLAYBACK SYSTEM | 74683834_CA,74794950_US,74816596_IN | 74683834_CA,74816596_IN,74794950_US | G06F 16/3328,G06F 16/3334,G06F 16/335,G06F 16/345,G06F 40/166,G06F 40/35,G06K 9/6256 | [
"G06K 9/62",
"G06F 16/335",
"G06F 16/33",
"G06F 16/332",
"G06F 40/166",
"G06F 16/34"
] | 144,220 |
4,809,339 | 2003-07-29 | 32,093,547 | N | An active safety barrier circuit is disposable in series with an electrical conductor at a barrier between an adverse environment and an outside environment for passin g an analog signal over the electrical conductor across the barrier while preventing potentially dangerous electrical threats from entering the adverse environment over the electrical conductor. The safety barrier circuit comprises: an analog-to-digital converter circuit for converting sequential time samples of the analog signal to a train of electrical digitally coded words which are output sequentially from the analog-to-digital converter circuit; an optical isolator for converting the electrical digitally coded words into light signals which are passed across an electrically non-conductive barrier which prevents potentially dangerous electrical threats from entering the adverse environment over the electrical conductor, and for reconverting the light signals back into the electrical digitally coded words after crossing the non-conductive barrier, the reconverted electrical digitally coded words being output sequentially from the optical isolator; and a digital-to-analog converter circuit for reconstructi ng the analog signal from the reconverted electrical digitally coded words being received sequentially from the optical isolator without affecting substantially the accuracy thereof.</SDOA B> | en | ACTIVE SAFETY BARRIER CIRCUIT | 12545956_US | 16528986_US | G01D 3/08 | [
"G01D 3/08"
] | 7,941 |
42,213,019 | 2002-12-03 | 23,313,356 | N | Described is a highly thermally stable anhydrous crystalline polymorphic form of venlafaxine (1- [2- (dimethylamino)-1- (4-methoxyphenyl) ethyl] cyclohexanol) hydrochloride, methods for the preparation thereof, and its use to treat depression (including, but not limited to, major depressive disorder, bipolar disorder, and dysthymia), fibromyalgia, anxiety, panic disorder, agoraphobia, post traumatic stress disorder, premenstrual dysphoric disorder (premenstrual syndrome), attention deficit disorder (with and without hyperactivity), obsessive compulsive disorder (including trichotillomania), social anxiety disorder, generalized anxiety disorder, autism, schizophrenia, obesity, anorexia nervosa, bulimia nervosa, Gilles dela Tourette Syndrome, vasomotor flushing, cocaine and alcohol addiction, sexual dysfunction (including premature ejaculation), borderline personality disorder, chronic fatigue syndrome, urinary incontinence, pain (including, but not limited to, migraine, chronic back pain, phantom limb pain, central pain, neuropathic pain such as diabetic neuropathy, and postherpetic neuropathy), Shy Drager Syndrome, or Raynaud's syndrome. The crystalline polymorph can also be administered to prevent relapse or recurrence of depression, to induce cognitive enhancement, to treat cognitive impairment, and in regimens for cessation of smoking or other tobacco uses. | en | Anhydrous crystalline polymorph of venlafaxine hydrochloride with melting point of 219 deg C | 5221259_ | 33994837_,15059059_,33214204_ | A61K 31/135,A61K 31/137,A61P 25/00,A61P 25/22,A61P 25/24,C07C 217/64,C07C 217/74,C07C2601/14 | [
"A61P 25/00",
"A61K 31/137",
"A61P 25/24",
"A61P 25/22",
"C07C 213/10",
"C07C 217/64",
"C07C 217/74"
] | 28,303 |
521,727,862 | 2019-07-13 | 68,409,375 | N | The invention discloses a depth information measurement method based on a single-frame composite network template, and mainly solves the problems that an existing time coding method consumes too longtime, cannot dynamically measure scene depth information and is low in depth information density. According to the scheme, the method comprises steps of designing a single-frame composite network template P; projecting P to a target object, and shooting the target object to obtain a deformed image; transmitting the deformed image to a computer so as to separate a codeword graph I '2 and a line segment grid graph I' 1 from the deformed image; performing line extraction by utilizing the separated line segment grid chart I '1 to obtain a line segment grid chart; decoding according to the separated codeword graph I '2, and solving a line segment matched with the template by decoding the codeword at the intersection point of the horizontal line segment and the vertical line segment; and calculating the depth information value of the to-be-measured object according to the line-plane intersection principle by utilizing the corresponding relation between the line segments. The method can dynamically obtain scene depth information, is high in data precision, and can be used for industrial monitoring, medical science, man-machine interaction, virtual reality and 3D printing. | en | Depth information measurement method based on single-frame dense shape coding | 14724848_ | 14908154_,18672734_,40653748_,41240746_,52027459_,75452386_,42144637_ | G06T 7/50 | [
"G06T 7/50"
] | 133,724 |
531,825,160 | 2019-09-02 | 68,206,968 | Y | Methods, systems, and non-transitory computer readable storage media are disclosed for generating a three-dimensional scene based on a natural language phrase. For example, the disclosed system can analyze a natural language phrase to determine dependencies involving entities and commands in the natural language phrase. The disclosed system can then use the dependencies to generate an entity-command representation of the natural language phrase. Additionally, the disclosed system can generate a semantic scene graph for the natural language phrase from the entity-command representation to indicate contextual relationships of the entities and commands. Furthermore, the disclosed system generates the requested three-dimensional scene by using at least one scene of a plurality of available three dimensional scenes identified using the semantic scene graph of the natural language phrase. Identifying A Natural Language Phrase 202 Parsing The Phrase To Create A Dependency Tree 2Q4 --------------------------------------------- ,- 206 Labeling Entities 208a LabelingCommands 208b Performing Pattern Matching To Assign Other Properties 210 Creating A Canonical Entity Command Representation 212 L ---------- --------- I Converting The Entity-Command Representation To A Semantic Scene Graph 214 Generating A Three-Dimensional Scene Based On The Semantic Scene Graph 216 Fig. 2 | en | NATURAL LANGUAGE PROCESSING FOR LANGUAGE-DRIVEN SYNTHESIS OF 3D SCENES | 71788041_US | 42616914_ | G06F 3/04845,G06F 3/167,G06F 16/34,G06F 16/5866,G06F 16/904,G06F 30/12,G06F 40/211,G06F 40/284,G06F 40/289,G06F 40/295,G06F 40/30,G06T 17/00,G06T 19/20,G06T2210/61 | [
"G06T 17/05"
] | 140,768 |
341,421,480 | 2011-07-18 | 46,300,641 | Y | A system for examining biological tissue of a subject includes a wireless optical probe, electronics and a processor. The wireless optical probe includes a light source connected to receive signals from a wireless receiver, and a light detector coupled to provide data to a wireless transmitter constructed to transfer data wirelessly. The wireless optical probe is powered by a battery. The light source is constructed and arranged to introduce optical radiation in the visible to infra-red range into the examined biological tissue of a subject, and the light detector is constructed and arranged to detect radiation that has migrated in the examined biological tissue of the subject. The electronics is constructed and arranged to communicate wirelessly with the optical probe, to store the transferred data, and to create optical data. The processor is constructed and arranged to evaluate the optical data. The system may also provide brain stimulation and evaluate the detected radiation to determine a brain cognitive function of the subject. One embodiment of the system can detect a brain disorder. Another embodiment of the system can detect “deceit.” In addition to the optical module, the system may include other optional modules such as an EEG module, an MEG module, a thermography module, a respiratory module, a skin conductivity module, and a blood pressure module. | en | Examination and imaging of brain cognitive functions | 6834904_US,6834903_US | 6834904_US | A61B 5/0035,A61B 5/0042,A61B 5/0059,A61B 5/6834 | [
"A61B 5/08",
"A61B 5/01",
"A61B 5/1455",
"A61B 5/0476",
"A61B 5/053"
] | 72,184 |
4,282,295 | 1988-02-23 | 25,683,391 | Y | The novel imidazodiazepine derivatives of the formula <IMG> I wherein A together with the two carbon atoms denoted by .alpha. and .beta. signifies one of the groups <IMG> <IMG> and <IMG> (a) (b) (c) R1 signifies one of the groups -CH=CH-R6 and -C?C-R6, (d) (e) R2 signifies hydrogen and R3 signifies lower alkyl or R2 and R3 together signify dimethylene or trimethylene, R4 and R5 each signify hydrogen, halogen. trifluoromethyl or lower alkyl and R6 signifies hydrogen, halogen, acyl or a saturated lower hydrocarbon group which is optionally mono- or disubstituted by hydroxy, lower alkoxy. (C3-C7)- -cycloalkyl or oxo, whereby the compounds of formula I have the (S)- or (R,S)-configuration with reference to the carbon atom denoted by .gamma. when R2 and R3 together signify dimethylene or trimethylene and whereby the double bond present in group (d) has the E- and/or Z-configuration when R6 is different from hydrogen. possess valuable pharmacodynamic properties. They have as a common characteristic a pronounced affinity to the central benzodiazepine receptors and have either pronounced anxiolytic, anticonvulsant, muscle relaxant and sedative-hypnotic properties and/or they partially or completely selectively antagonize some or all activities which 1,4-benzodiazepines having tranquillizing activity or other substances display via the central benzodiazepine receptors. | en | IMIDAZODIAZEPINE DERIVATIVES | 12678170_CH | 16193492_FR,15330253_CH,12688573_CH | C07D 487/04,C07D 487/14,C07D 495/14 | [
"C07D 487/14",
"C07D 495/14",
"C07D 487/04",
"C07D 487/22"
] | 3,766 |
16,955,200 | 1992-03-06 | 5,459,256 | N | A method and system for the localization and characterization of the generators of human brain electromagnetic physiological activity includes a set bioelectromagnetic amplifiers (2), sensorial stimulators (4), and a computer based system (12) for signal analog to digital conversion and recording. Sufficient statistics (13), including higher order statistical moments, for event related components are computed from the recorded signals, either in the time, frequency, or time-frequency domain, retaining stationary, non-stationary, linear, and non-linear information. The localizations, orientations, activities, and connectivities of the generators are obtained by solving the inverse problem using sufficient statistics under anatomical and functional constraints. Realistic head geometry and conductivity profile are used to transform the measurements into infinite homogeneous medium measurements, by means of an anatomical deconvolution operator, thus simplifying optimally inverse solution computations. Goodness of fit tests (16) for the inverse solution are provided. Generator characteristics are visually displayed (18) in the form of three and two dimensional head images, and optionally include probability scaled images obtained by comparing estimated generator characteristics with those of a normal population sampled and stored in a normative data base. <IMAGE> | en | METHOD AND SYSTEM FOR THREE-DIMENSIONAL TOMOGRAPHY OF ACTIVITY AND CONNECTIVITY OF BRAIN AND HEART ELECTROMAGNETIC WAVES GENERATORS | 3060499_CU | 3161385_CU,3161388_CU,3161386_CU,3161390_CU,3161387_CU,3161389_CU,3161391_CU | A61B 5/246,A61B 5/377 | [
"A61B 5/04",
"A61B 5/0484"
] | 18,267 |
456,353,366 | 2015-10-15 | 52,316,794 | Y | The present invention relates to a visual efficacy determining method for non-colored objects in different light environments, comprising: a) setting light environment; b) placing an object for performing visual recognition of a driver; c) resetting the light environment, and repeating the step b); d) processing visual recognition information data obtained after experiments, and establishing a correlating relationship between visual recognition time and color temperature, color rendering index and brightness parameters of the light environment; and e) performing visual efficiency analysis according to the visual recognition information data processing results. The present invention further provides a system for implementing the visual efficacy determining method for non-colored objects in different light environments, wherein the system comprises a simulated tunnel middle section subsystem, a testing subsystem and a data processing subsystem. According to the method and the system disclosed by the present invention, visual efficacy analysis is performed on the visual influence of the light environment setting of the illumination of a night road and a tunnel middle section on the driver, and good guidance standards are provided for the reasonable and efficient setting of the color temperature, color rendering index and average brightness of a lighting device. | en | METHOD FOR MEASURING VISUAL EFFECT OF NON-COLORED TARGET IN DIFFERENT LIGHT ENVIRONMENTS AND SYSTEM THEREOF | 53322376_CN,54473437_CN | 57715797_CN,57719740_CN,57718005_CN,54468922_CN,57746358_CN,57712718_CN,57712725_CN,57709124_CN,54454134_CN,57713561_CN,54452453_CN,57705354_CN | G01M 11/00,G01M 11/005,G06F 30/00,G06V 20/00,H05B 45/20,H05B 47/10 | [
"G01M 11/00",
"H05B 44/00",
"B60W 40/00",
"H05B 37/02"
] | 101,194 |
534,923,617 | 2019-12-05 | 66,500,583 | N | Provided is an AI model automatic generation method based on computational graph evolution. The method mainly comprises the following steps: pre-setting data; utilizing a genetic algorithm operator to generate a first-generation computational graph model, and computing the performance of the model according to a computational graph structure thereof; removing an invalid model and a repeated model, and taking the remaining models as candidate models and reserving same as seeds for the next generation; selecting a number of optimal models; the candidate models generating a new computational graph model by using the genetic algorithm operator; determining whether the new computational graph model generated in the last step has been generated; storing the new model as a computational graph model for a new generation, and determining whether same satisfies the pre-set data and an evolution ending condition; and summarizing evolution computational results, and selecting an optimal model. In the present invention, machine learning and deep learning can be carried out simultaneously; the repeated computation of the same model is prevented, and the model design efficiency is improved; the local optimum is jumped out of; the decline in the ability to search for a network is prevented; and evaluation can be directly carried out without training by means of actual data. | en | AI MODEL AUTOMATIC GENERATION METHOD BASED ON COMPUTATIONAL GRAPH EVOLUTION | 77337390_CN | 63508307_CN,76497558_CN,76449842_CN,76996509_CN | G06N 3/12,G06N 20/00 | [
"G06N 20/00",
"G06N 3/12"
] | 142,724 |
440,509,094 | 2015-03-12 | 53,175,072 | N | A method and system for providing a user with feedback on performance of a karaoke song is provided. Musical data elements (e.g. lyrics and notes) of a music track input feed are compared with musical data elements (e.g. lyrics and pitch) of the karaoke performance. Based on the comparison, a feedback on the performance is generated on a display in substantially real time. Accordingly, text of the lyric of the music track and text of the the lyric of the performance are represented on the display. Moreover, differences between the performance and the music track are represented by altering the representation of the lyrics of the performance relative to the representation of the lyrics of the music track on the display. For example a vertical position of lyrics of the music track relative to a horizontal axis of the display corresponds to a pitch of the music track. A difference between pitch of the performance and notes of the music track is represented by a difference between the vertical position of the lyrics of the performance and the vertical position of the corresponding lyrics of the music track. A difference between a horizontal position of the lyrics of the performance and a horizontal position of the corresponding lyrics represents the tempo difference, which provides a feedback to the user that an error in a timing of the performance has occurred. | en | PROVIDING A KARAOKE SINGER WITH GRAPHICAL FEEDBACK ON HIS PERFORMANCE | 53337176_FI | 53345954_FI,53352350_FI | G10H 1/361,G10H2210/091,G10H2220/011,G10H2220/015,G10L 25/90 | [
"G10L 25/90",
"G10H 1/36",
"G10H 1/00"
] | 93,577 |
4,455,902 | 1993-12-29 | 18,400,575 | Y | 22 In an echo cancelling device comprising an echo canceller 13 for producing, in response to a send-in signal SIN and a receive-in signal RIN, a residual signal RES in which an echo signal ECHO is cancelled, a residual echo level estimator 106 estimates, in response to the residual signal, a residual echo level in the residual signal and produces a threshold signal THR with a threshold level equal to the residual echo level. Responsive to the receive-in, the residual, and the threshold signals, a residual echo suppressor 105 produces a send-out signal SOUT with a residual echo adaptively suppressed in response to the threshold level. Preferably, the echo canceller comprises an echo estimating circuit 131 which estimates an echo estimation signal in response to the receive-in and the residual signals. A subtracter 132 subtracts the echo estimation signal from the send-in signal and produces the residual signal. Responsive to the send-in and the receive-in signals, a communication state detector 14 produces an inhibit signal INH when a level of the receive-in signal is greater than that of the send-in signal. The inhibit signal prevents the echo estimating circuit from producing the echo estimation signal and makes the residual echo level estimator keep the threshold level at the residual echo level estimated immediately before the inhibit signal is produced. | en | ECHO CANCELLER WITH ADAPTIVE SUPPRESSION OF RESIDUAL ECHO LEVEL | 5232977_JP | 16440741_JP | H04B 3/23 | [
"H04B 3/23",
"H04B 3/20"
] | 4,602 |
566,126,587 | 2021-07-23 | 73,286,790 | N | Disclosed are a language representation model system, a pre-training method and apparatus for a language representation model, a natural language processing method and apparatus, and a device and a medium. The language representation model system comprises: a word granularity language representation sub-model with a word as a word segmentation unit, and a phrase granularity language representation sub-model with a phrase as a word segmentation unit, wherein the word granularity language representation sub-model is used for outputting, on the basis of a sentence with a word as a word segmentation unit, a first semantic vector corresponding to semantics expressed by each segmented word in the sentence; and the phrase granularity language representation sub-model is used for outputting, on the basis of the sentence with a phrase as a word segmentation unit, a second semantic vector corresponding to semantics expressed by each segmented phrase in the sentence. According to the technical solution of the embodiments of the present disclosure, provided is a mixed granularity language representation model, which provides a model basis for a downstream natural language processing task, thereby facilitating improvement of the processing precision of the downstream natural language processing task, and improving the migration effect of a language representation model. | en | LANGUAGE REPRESENTATION MODEL SYSTEM, PRE-TRAINING METHOD AND APPARATUS, DEVICE AND MEDIUM | 69631245_CN | 63910800_CN,84778962_CN,85258419_CN | G06F 16/355,G06F 40/205,G06F 40/289,G06F 40/30 | [
"G06F 40/289"
] | 162,859 |
563,186,151 | 2020-10-14 | 79,012,925 | N | The invention belongs to the field of medical image processing and application, and relates to a medical image follow-up processing analysis technology, in particular to an automatic cerebral aneurysm rupture risk analysis system based on cerebral hemodynamics, in particular to a three-dimensional hemodynamics automatic calculation process. A calculation program of the system comprises a model preprocessing module, a tracer particle module, a track statistics module, a skeleton extraction module, a griding sub-module and a fluid solving module. A main program of the calculation program is based on a python language, and a complex function module is packaged into a dynamic library based on C++ to be called by the main program. According to the process, a user only needs to provide a blood vessel stl model and designate the inlet and outlet surfaces of blood flow in the model and corresponding boundary conditions, and then the blood flow field quantity result can be automatically output. Blood flow simulation calculation can be completed through interaction with clinicians as little as possible, the aneurysm rupture risks are judged to be an extremely high risk group, a high risk group, a medium risk group and a low risk group, a physical simulation technology can be conveniently used for assisting an operation scheme, and clinical application is facilitated. | en | Automatic cerebral aneurysm rupture risk analysis system based on cerebral hemodynamics | 58958289_ | 65675267_,61564416_ | A61B 5/02007,A61B 5/02014,A61B 5/026,A61B 5/7235,A61B 5/7271,A61B 5/7275,G06F 30/28,G16H 50/30 | [
"A61B 5/02",
"G06F 30/28",
"A61B 5/00",
"A61B 5/026",
"G16H 50/30"
] | 161,446 |
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