Fuzzy Neural Network Patents (Class 706/2)
  • Patent number: 11832058
    Abstract: A hearing device system and the method for processing audio signals are described. The hearing device system has at least one hearing device having a recording device for recording an input signal, at least one neural network for separating at least one audio signal from the input signal and a playback device for playing back an output signal ascertained from the at least audio signal. A calibration device is connected to the at least one hearing device in the data-transmitting manner. The at least one neural network is customizable and/or replaceable by the calibration device.
    Type: Grant
    Filed: April 9, 2020
    Date of Patent: November 28, 2023
    Assignee: Sonova AG
    Inventors: Peter Udo Diehl, Elias Sprengel
  • Patent number: 11823047
    Abstract: A memory of an electronic control unit stores a neural network into which travel state quantities of a vehicle are input and from which an internal temperature of a turbocharger is output. An arithmetic processing circuit of the electronic control unit executes an internal temperature estimation process of calculating, as an estimated value of the internal temperature, an output of the neural network using measured values of the travel state quantities as an input, and a deposit amount estimation process of calculating an amount of increase in an amount of oil coke deposits based on the estimated value of the internal temperature and calculating an estimated value of the amount of oil coke deposits as a value integrating the amount of increase.
    Type: Grant
    Filed: December 13, 2021
    Date of Patent: November 21, 2023
    Inventor: Haruto Ura
  • Patent number: 11769519
    Abstract: Examples described herein involve detecting known environmental conditions of using a neural network. An example implementation involves a playback device receiving data indicating a response of a listening environment to audio output of one or more playback devices as captured by a microphone and determining an input vector for a neural network. The playback device provides the determined input vector to the neural network, which includes an output layer comprising neurons that correspond to respective environmental conditions. The playback device detects that the input vector caused one or more neurons of the neural network to fire such that the neural network indicates that one or more particular environmental conditions are present in the listening environment. The playback device adjusts audio output of the one or more playback devices to at least partially offset the one or more particular environmental conditions.
    Type: Grant
    Filed: May 10, 2021
    Date of Patent: September 26, 2023
    Assignee: Sonos, Inc.
    Inventors: Klaus Hartung, Greg Bright
  • Patent number: 11694062
    Abstract: A computer-implemented method includes instantiating a neural network including a recurrent cell. The recurrent cell includes a probabilistic state component. The method further includes training the neural network with a sequence of data. In an embodiment, the method includes extracting a deterministic finite automaton from the trained recurrent neural network and classifying a sequence with the extracted automaton.
    Type: Grant
    Filed: July 29, 2019
    Date of Patent: July 4, 2023
    Inventors: Cheng Wang, Mathias Niepert
  • Patent number: 11664125
    Abstract: A method and system for deep learning based cardiac electrophysiological model personalization is disclosed. Electrophysiological measurements of a patient, such as an ECG trace, are received. A computational cardiac electrophysiology model is personalized by calculating patient-specific values for a parameter of the computational cardiac electrophysiology model based at least on the electrophysiological measurements of the patient using a trained deep neural network (DNN). The parameter of the computational cardiac electrophysiology model corresponds to a spatially varying electrical cardiac tissue property.
    Type: Grant
    Filed: May 12, 2017
    Date of Patent: May 30, 2023
    Assignee: Siemens Healthcare GmbH
    Inventors: Ahmet Tuysuzoglu, Tiziano Passerini, Shun Miao, Tommaso Mansi
  • Patent number: 11657251
    Abstract: A system and method for multi-agent reinforcement learning with periodic parameter sharing that include inputting at least one occupancy grid to a convolutional neural network (CNN) and at least one vehicle dynamic parameter into a first fully connected layer and concatenating outputs of the CNN and the first fully connected layer. The system and method also include providing Q value estimates for agent actions based on processing of the concatenated outputs and choosing at least one autonomous action to be executed by at least one of: an ego agent and a target agent. The system and method further include processing a multi-agent policy that accounts for operation of the ego agent and the target agent with respect to one another within a multi-agent environment based on the at least one autonomous action to be executed by at least one of: the ego agent and the target agent.
    Type: Grant
    Filed: November 11, 2019
    Date of Patent: May 23, 2023
    Assignee: HONDA MOTOR CO., LTD.
    Inventors: Alireza Nakhaei Sarvedani, Kikuo Fujimura, Safa Cicek
  • Patent number: 11645536
    Abstract: Systems and methods for training a residual neural network are described. One of the methods includes: initializing one or more weights of each of a plurality of residual units; inputting a plurality of training cases to a first warp unit in a series; using each training case to optimize the one or more weights for each residual unit in parallel in the first warp unit in the series; starting with the output of the first warp unit in the series, iteratively propagating the output of each warp unit to the input of a next respective warp unit in the series, for each respective warp unit, using each training case to optimize the one or more weights for each residual unit in parallel in the respective warp unit; and storing the output of the last warp unit in the series and the weights for each residual unit.
    Type: Grant
    Filed: January 22, 2019
    Date of Patent: May 9, 2023
    Inventors: Wai Kit Ricky Fok, Aijun An, Xiaogang Wang
  • Patent number: 11620482
    Abstract: Methods and apparatus, including computer program products, are provided for machine learning including deep convolutional neural networks. In some example embodiments, there may be provided a method that includes receiving, at a trained machine learning model, a portion of a test image; activating, at the machine learning model, a convolutional result formed based on the portion of the test image, the activation based on neighboring regions in the test image; and providing, by the machine learning model, an activated output. Related systems, methods, and articles of manufacture are also described.
    Type: Grant
    Filed: February 23, 2017
    Date of Patent: April 4, 2023
    Assignee: Nokia Technologies Oy
    Inventor: Hongyang Li
  • Patent number: 11610097
    Abstract: An uncertainty prediction apparatus includes an artificial neural network model trained based on deep learning, sampling models modeled by at least two weights obtained through sampling during a training process for the artificial neural network model, and an output generation unit configured to generate a result value reflecting an uncertainty degree by aggregating values output from the artificial neural network model and the sampling models after the same data is input to the artificial neural network model and the sampling models.
    Type: Grant
    Filed: December 7, 2019
    Date of Patent: March 21, 2023
    Assignees: Seoul National University R&DB Foundation, hodooAl Lab Inc.
    Inventors: Jungwoo Lee, Chanwoo Park, Jae Myung Kim, Seokhyeon Ha
  • Patent number: 11561540
    Abstract: Autonomous vehicles are an exciting prospect to the future of driving. However, concerns about the decision-making made by the AI controlling a vehicle has been of concern, particularly in light of high-profile accidents. We can alleviate some concern, introduce better decisions, and also train an AI to make better decisions by introducing a remote viewer's, e.g., a human's, reaction to a possibly complex environment surrounding a vehicle that includes a potential threat to the vehicle. One or more remote viewer may provide a recommended response to the threat that may be incorporated in whole or in part in how the vehicle reacts. Various ways to engage and utilize remote viewers are proposed to improve the likelihood of receiving useful recommendations, including modifying how the environment is presented to a remote viewer to best suit the remote viewer, e.g., perhaps present the threat in a game.
    Type: Grant
    Filed: February 26, 2019
    Date of Patent: January 24, 2023
    Inventors: Robert Vaughn, Casey Baron
  • Patent number: 11544930
    Abstract: The present disclosure provides systems, methods, and computer program products for controlling an object. An example method can comprise (a) obtaining video data of the object and (b) performing motion analysis on the video data to generate modified video data. The method can further comprise (c) using artificial intelligence (AI) to identify a set of features in the modified video data. The set of features may be indicative of a predicted state of the object. The AI may be been trained offline on historical training data. The method can further comprise (d) using the predicted state to determine a control signal and (e) transmitting, in real-time, the control signal to the object to adjust or maintain a state of the object in relation to the predicted state. Operations (a) to (d) can be performed without contacting the object.
    Type: Grant
    Filed: February 16, 2021
    Date of Patent: January 3, 2023
    Assignee: DAUNTLESS.IO, INC.
    Inventor: Adam Vaughan
  • Patent number: 11526689
    Abstract: Few-shot learning of repetitive human tasks is performed. Sliding window-based temporal segmentation is performed of sensor data for a plurality of cycles of a repetitive task. Motion alignment is performed of the plurality of cycles, the motion alignment mapping portions of the plurality of cycles to corresponding portions of other of the plurality of cycles. Categories are constructed for each of the corresponding portions of the plurality of cycles according to the motion alignment. Meta-training is performed to teach a model according to data sampled from a labeled set of human motions and the categories for each of the corresponding portions, the model utilizing a bidirectional long short-term memory (LSTM) network to account for length variation between the plurality of cycles. The model is used to perform temporal segmentation on a data stream of sensor data in real time for predicting motion windows within the data stream.
    Type: Grant
    Filed: December 19, 2019
    Date of Patent: December 13, 2022
    Assignee: Robert Bosch GmbH
    Inventors: Huan Song, Liu Ren
  • Patent number: 11491399
    Abstract: A method of converting one or more datasheets into a multi-player simulation-based game.
    Type: Grant
    Filed: April 28, 2020
    Date of Patent: November 8, 2022
    Inventor: Timothy John Felke
  • Patent number: 11454569
    Abstract: An engine health diagnostic apparatus is provided for analysing health of a reciprocating internal combustion engine. The apparatus comprises feature generation circuitry for processing vibration sensor data received from a vibration sensor detecting vibration at a component of the reciprocating internal combustion engine 4 and generating a feature vector indicating multiple features of the sensor data. Processing circuitry processes the feature vector using a trained classification model which is defined by model parameters characterising a decision boundary of healthy operation learnt from a training set of feature vectors captured during healthy operation of the engine. The model generates an engine health indication providing a quantitative indication of deviation of the feature vector from the decision boundary of healthy operation.
    Type: Grant
    Filed: November 20, 2017
    Date of Patent: September 27, 2022
    Inventors: Edward Smart, Neil Grice, David Brown, Martin Gregory, David Garrity
  • Patent number: 11436693
    Abstract: A machine learning device which learns a correlation between shipment inspection information obtained by inspecting an object in shipment thereof and operation alarm information issued during operation of the object, includes a state observation unit which observes the shipment inspection information and the operation alarm information; and a learning unit which generates a learning model based on the shipment inspection information and the operation alarm information observed by the state observation unit.
    Type: Grant
    Filed: October 5, 2017
    Date of Patent: September 6, 2022
    Inventor: Akira Yamaguchi
  • Patent number: 11382601
    Abstract: An ultrasound imaging system includes a processor to associate an ultrasound image with one or more pictographs that correspond to the image. A processor provides ultrasound image data to one or more trained neural networks that classify the image data. The processor is programmed to select one or more pictographs that correspond to the classified image data for presentation to the operator. In some embodiments, the processor is programmed to use a neural network to determine if an ultrasound image captured during an examination corresponds to one or more required views for a particular type of examination.
    Type: Grant
    Filed: March 1, 2018
    Date of Patent: July 12, 2022
    Inventors: Andrew Lundberg, Thomas M. Duffy, Robert W. Steins
  • Patent number: 11385602
    Abstract: A system control method includes receiving a control task and randomly selecting a chromosome from an evolution pool according to the control task. The selected chromosome is decoded to obtain (N+1) ensemble policies, where the chromosome includes (N+1) gene fragments, and where N is a positive integer greater than or equal to 1. Each gene fragment can uniquely correspond to an ensemble policy, and each ensemble policy can uniquely correspond to a preset function. One ensemble policy is used for assigning a weight to a preset function that uniquely corresponds to the ensemble policy. The evolution pool can maintain two or more chromosomes. An ensemble calculation is performed according to weights assigned by the (N+1) ensemble policies to obtain an ensemble control output. A control signal is generated according to the ensemble control output, where the control signal is used for performing system control.
    Type: Grant
    Filed: January 26, 2018
    Date of Patent: July 12, 2022
    Assignee: Huawei Technologies Co., Ltd.
    Inventors: Zhitang Chen, Baofeng Zhang, Yanhui Geng
  • Patent number: 11379639
    Abstract: An apparatus, a recording medium, and a method for generating a control parameter of a screen printer are disclosed. The apparatus includes a memory that stores a simulation model configured to derive predictive inspection information on a printed state of solder paste based on a plurality of control parameters of the screen printer; a communication circuit configured to receive first inspection information on a plurality of solder pastes printed by the screen printer based on a first control parameter, and a processor electrically connected to the memory and the communication circuit.
    Type: Grant
    Filed: December 21, 2018
    Date of Patent: July 5, 2022
    Inventors: Duk Young Lee, Chan Woo Park, Tae Min Choi, Joanna Hong
  • Patent number: 11193984
    Abstract: A method for using an electrochemical energy storage device within a specifiable usage plan time period so as to optimize the service life is provided. The calendar aging constitutes a variable which influences the service life of the energy storage device and which is expressed in the form of a nonlinear function based on the fill state and the temperature of the energy storage device, the temperature being influencable by at least one charging and/or discharging process.
    Type: Grant
    Filed: July 28, 2016
    Date of Patent: December 7, 2021
    Inventors: Rafael Fink, Kurt Majewski, Martin Seydenschwanz
  • Patent number: 11157797
    Abstract: An evaluation device may include: a receiving unit that receives an image of the semiconductor substrate, the image captured by an imaging device provided on the semiconductor substrate manufacturing apparatus; a determination unit that determines, using a neural network, at least one value representative of a probability of a machine learning device outputting an erroneous output for the image, the machine learning device configured to: (i) receive the image of the semiconductor substrate, (ii) perform computation using the received image, and (iii) output information indicating the quality of the semiconductor substrate based on a result of the computation; and an output unit that outputs an output based on the at least one value representative of the probability. The neural network has been trained using: images of manufactured semiconductor substrates; and information indicating, for each one of the images, a level of erroneousness for an output from the machine learning device.
    Type: Grant
    Filed: February 17, 2017
    Date of Patent: October 26, 2021
    Assignee: OMRON Corporation
    Inventors: Tanichi Ando, Hiroshi Sugahara
  • Patent number: 11126475
    Abstract: Systems and methods for transforming legacy models and transforming a model into a neural network model are disclosed. In an embodiment, a method may include receiving input data comprising an input model, an input dataset, and an input command. The method may include applying the input model to the input dataset to generate model output and storing model output and at least one of input model features or a map of the input model. The method may include generating a candidate neural network models with parameters. The method may include tuning the candidate neural network models to the input model. The method may include receiving model output from the candidate neural network models and selecting a neural network model from the candidate neural network models based on the candidate model output and the model selection criteria. In some aspects, the method may include returning the selected neural network model.
    Type: Grant
    Filed: October 26, 2018
    Date of Patent: September 21, 2021
    Inventors: Vincent Pham, Anh Truong, Fardin Abdi Taghi Abad, Jeremy Goodsitt, Austin Walters, Mark Watson, Reza Farivar, Kenneth Taylor
  • Patent number: 11120354
    Abstract: A decision aid method for determining an action to be implemented by a given competitive entity in a competitive system comprises the competitive entity and at least one other adverse competitive entity, the competitive entity being able to implement an action from among a set of predefined actions, each action providing a different expected gain as a function of the actions implemented by the adverse competitive entities.
    Type: Grant
    Filed: November 24, 2016
    Date of Patent: September 14, 2021
    Assignee: THALES
    Inventor: Hélia Pouyllau
  • Patent number: 11086761
    Abstract: A system, method, and computer-readable medium are disclosed for predicting a defect within a computer program comprising: accessing a code base of the computer program, the code base of the computer program comprising a plurality of computer program files; training the defect prediction system, the training including performing a historical analysis of defect occurrence patterns in the code base of the computer program; analyzing a commit of the computer program to identify a likelihood of defect occurrence within each of the plurality of files of the computer program; and, calculating a defect prediction metric for each of the plurality of files of the computer program, the defect prediction metric providing an objective measure of defect prediction for each of the plurality of files of the computer program.
    Type: Grant
    Filed: March 20, 2017
    Date of Patent: August 10, 2021
    Inventors: Ahmedali Durga, Saket Gurukar
  • Patent number: 11055454
    Abstract: Techniques for performing Monte Carlo simulations within a provider network are described. A request to perform a Monte Carlo simulation is received that specifies a template identifying input parameters to the simulation. The simulation is performed in one or more virtual machines (VMs) by sampling input values from an input data distribution stored at a first network location specified in the template and by processing the sampled input values using an input parameter specified in the template to form an output distribution that is stored at a second network location specified in the template. A statistic of the output distribution is generated and sent to an electronic device.
    Type: Grant
    Filed: June 19, 2018
    Date of Patent: July 6, 2021
    Assignee: Amazon Technologies, Inc.
    Inventors: Timothy David Gasser, Ratnakar Choudhary
  • Patent number: 10931702
    Abstract: Various systems and methods are described for correlating technology choices with the risk of system vulnerabilities. A system captures and quantifies both observations of technology choices as well as the outputs certain outputs of internal choices and processes across a number of different organizations. A Bayesian estimate of vulnerability is imputed from the choices and observed use of vulnerable technology, further segmented by business type, revenue, and size. Differences between the observation of a particular organization and Bayesian expected value are measured and converted to vulnerability score, the vulnerability score embodying a point-in-time and longitudinal measure of organizational performance, including the likelihood of future compromise due to software vulnerabilities. The vulnerability score can then be further used to price risk, for example in a cyber insurance context.
    Type: Grant
    Filed: April 24, 2018
    Date of Patent: February 23, 2021
    Assignee: CyberFortress, Inc.
    Inventor: Michael DeFelice
  • Patent number: 10805317
    Abstract: Described herein is a system transmits and combines local models, that individually include a set of local parameters computed via stochastic gradient descent (SGD), into a global model that includes a set of global model parameters. The local models are computed in parallel at different geographic locations (e.g., different instances of computing infrastructure) along with symbolic representations. Network transmission of the local models and the symbolic representations, rather than transmission of the large training data subsets processed to compute the local models and symbolic representations, conserves resources and decreases latency. The global model can then be used as a model to determine a likelihood that at least a portion of current and/or recently received data traffic is illegitimate data traffic that is associated with a cyber attack. In some instances, the system can implement a remedial action to mitigate the effects of the cyber attack on computing infrastructure.
    Type: Grant
    Filed: June 15, 2017
    Date of Patent: October 13, 2020
    Assignee: Microsoft Technology Licensing, LLC
    Inventors: Madanlal S. Musuvathi, Todd D. Mytkowicz, Saeed Maleki, Yufei Ding
  • Patent number: 10782949
    Abstract: A method and system of provisioning a release of an application are provided. An average arrival rate for the application is calculated. A residual capacity of each node in a pool of nodes is determined. A risk dependent state of each node is determined. For each node, a failure index based on the average arrival rate of the application, the residual capacity of the node, and the risk dependent state of the node, is calculated. The release of the application is provisioned on a node in the pool of nodes, based on the calculated failure index.
    Type: Grant
    Filed: January 8, 2018
    Date of Patent: September 22, 2020
    Inventors: Jinho Hwang, Tonghoon Suk, Zemei Zeng
  • Patent number: 10573910
    Abstract: Systems, methods, and devices of the various embodiments provide a hardware and software architecture enabling electrochemical impedance spectroscopy (“EIS”) to be performed on multiple electrochemical devices, such as fuel cells, at the same time without human interaction with the electrochemical devices and to use EIS to dynamically monitor the performance of a fuel cell system. Embodiment methods may include determining an impedance of a set of fuel cells using electrochemical impedance spectroscopy, determining an ohmic polarization of the set of fuel cells from the impedance, determining a concentration polarization of the set of fuel cells from the impedance, comparing the ohmic polarization of the set of fuel cells to a first threshold, comparing the concentration polarization of the set of fuel cells to a second threshold, and initiating a corrective action when the ohmic polarization is above the first threshold or when the concentration polarization is below the second threshold.
    Type: Grant
    Filed: September 14, 2015
    Date of Patent: February 25, 2020
    Inventors: Karthick Sudhan S, Bhavana Ganesh, Abhishek Dudhmande, Ranganathan Gurunathan, Ian Russell
  • Patent number: 10438322
    Abstract: Resolution enhancement techniques are described. An apparatus may receive first image data at a first resolution, and second image data at a resolution less than the first resolution. The second image data may be scaled to the first resolution and compared to the first image data. Application of a neural network may scale the first image data to a resolution higher than the first resolution. The application of the neural network may incorporate signals based on the scaled second image data. The signals may include information obtained by comparing the scaled second image data to the resolution of the first image data.
    Type: Grant
    Filed: May 26, 2017
    Date of Patent: October 8, 2019
    Inventors: Moshe R. Lutz, Vivek Pradeep
  • Patent number: 10427535
    Abstract: The present disclosure is related to a battery management system which includes a location information obtainer configured to obtain location information of a battery, and an estimation model changer configured to change an estimation model to estimate an internal state of the battery according to a change in the location information.
    Type: Grant
    Filed: November 23, 2016
    Date of Patent: October 1, 2019
    Assignee: Samsung Electronics Co., Ltd.
    Inventors: Sang Do Park, Kae Weon You
  • Patent number: 10416240
    Abstract: The invention relates to a method for determining critical operating states in a fuel cell stack, consisting of single cells connected in series, wherein a low-frequency current or voltage signal is applied to the fuel cell stack, the resulting voltage or current signal is measured and the distortion factor thd is determined. According to the invention, the weighted sum of a term dependent on the membrane resistance RM and a term dependent on the distortion factor thd is used to determine an indicator THDAdryout correlating with the drying out of the fuel cell membranes of the fuel cell stack, the membrane resistance Rm being detected by impedance measurement.
    Type: Grant
    Filed: October 18, 2018
    Date of Patent: September 17, 2019
    Assignee: AVL LIST GMBH
    Inventors: Peter Prenninger, Katharina Renner
  • Patent number: 10372848
    Abstract: A method and an apparatus for providing a safe operation of a technical system including a plurality of system components. The method includes the steps of: a) providing a safety analysis model matured by knowledge about former implementations of the respective system components in different context, b) whereby system components' dependencies are modeled by connecting inports with outports of the respective system components and/or vice versa, c) whereby at least one or a plurality of such in and/or outports are associated with input failure modes and/or output failure modes, d) characterized in automatically uncovering inconsistencies caused by at least one system component to be integrated in connection with at least another system component whereby the input and/or output failure mode of the system component carries the knowledge from another implementation into the context.
    Type: Grant
    Filed: May 22, 2017
    Date of Patent: August 6, 2019
    Inventors: Kai Höfig, Marc Zeller
  • Patent number: 10055685
    Abstract: Some embodiments described herein cover a machine learning architecture with a separated perception subsystem and application subsystem. These subsystems can be co-trained. In one example embodiment, a data item is received and information from the data item is processed by a first node to generate a first feature vector comprising a plurality of features, each of the plurality of features having a similarity value representing a similarity to one of a plurality of centroids. The first node selects a subset of the features from the first feature vector, the subset containing one or more features that have highest similarity values. The first node generates a second feature vector from the first feature vector by replacing similarity values of features in the first feature vector that are not in the subset with zeros. A second node then processes the second feature vector to determine an output.
    Type: Grant
    Filed: October 16, 2017
    Date of Patent: August 21, 2018
    Assignee: Apprente, Inc.
    Inventors: Itamar Arel, Joshua Benjamin Looks
  • Patent number: 10049326
    Abstract: An apparatus, method, and computer program that can learn a linear or non-linear transfer function are disclosed. In one embodiment, for example, a computer-implemented method may include creating a plurality of combinations for at least one input, and calculating an output for the plurality of combinations. The method may also include calculating an error based on the calculated output.
    Type: Grant
    Filed: February 1, 2013
    Date of Patent: August 14, 2018
    Assignee: The United States of America as Represented by the Admin of National Aeronautics and Space Administration
    Inventors: Michael J Krasowski, Norman F Prokop
  • Patent number: 9984428
    Abstract: Computer implemented systems and methods are disclosed for structuring data from unstructured electronic data files. In accordance with some embodiments, an electronic data file including unstructured content associated with a legal process return is received and the unstructured content parsed. The unstructured content is parsed to identify one or more objects and properties based on a database ontology that are processed to generate an object model. A data report may be generated based on the identified objects and properties.
    Type: Grant
    Filed: October 27, 2015
    Date of Patent: May 29, 2018
    Assignee: Palantir Technologies Inc.
    Inventors: John McKinstry Doyle, Mitch Beard, Christopher Brahms, Tristan Huber, Krasimira Kapitanova, Ohsuk Kwon, Christopher Richbourg, Michael Stoeckel, Seth Robinson
  • Patent number: 9690264
    Abstract: Co-occurrence data representing e.g. preferences and facts observed in a plurality of situations may be stored in a matrix as combinations of high-dimensional sparse vectors. The matrix may be called e.g. as an experience matrix. The data stored in the experience matrix may be subsequently utilized e.g. for predicting a preference of a user in a new situation. A prediction may be determined by a method comprising providing a query comprising one or more query words, accessing the experience matrix containing co-occurrence data stored as vectors of the experience matrix, determining a first auxiliary vector by identifying a vector of the experience matrix associated with a first query word, forming a query vector by using the first auxiliary vector, and determining the prediction by comparing the query vector with the vectors of the experience matrix.
    Type: Grant
    Filed: February 22, 2012
    Date of Patent: June 27, 2017
    Assignee: Nokia Technologies Oy
    Inventors: Minna Hellstrom, Mikko Lonnfors, Eki Monni, Istvan Beszteri, Mikko Terho
  • Patent number: 9622686
    Abstract: A gait perturbation system and a method for testing and/or training using the gait perturbation system is disclosed herein. The gait perturbation system includes a gait perturbation device and a data processing device. The gait perturbation device includes one or more displaceable components configured to be displaced at a plurality of different speeds, and having one or more respective surfaces for receiving one or more respective limbs of a person; and one or more speed adjustment mechanisms coupled to the one or more displaceable components to adjust the speed set point at which the one or more displaceable components are displaced. The data processing device is configured to generate a signal for introducing a perturbation to the one or more displaceable components, and to control the speed set point of the one or more displaceable components such that the one or more displaceable components perturb a gait of the person.
    Type: Grant
    Filed: April 9, 2016
    Date of Patent: April 18, 2017
    Assignee: Bertec Corporation
    Inventors: Necip Berme, Jaswandi Tushar Pitale, Haluk Ay
  • Patent number: 9608587
    Abstract: Method embodiments are provided herein for dynamically calibrating and adjusting a direct conversion receiver system. One embodiment includes applying one or more gain control signals to one or more gain elements of a receiver system, where the applying one or more gain control signals results in a gain change to the receiver system; in response to the gain change, determining whether the receiver system exhibits a DC (direct conversion) offset; and in response to a determination that the receiver system exhibits the DC offset, applying one or more DC offset correction control signals to one or more gain elements of the receiver system, where the one or more DC offset correction signals are configured to correct the DC offset.
    Type: Grant
    Filed: June 25, 2015
    Date of Patent: March 28, 2017
    Assignee: Freescale Semiconductor, Inc.
    Inventors: Khurram Waheed, Steven M Bosze, Keith A Tilley, Kevin B Traylor
  • Patent number: 9424510
    Abstract: An adaptive fuzzy rule controlling system for a software defined storage (SDS) system to control performance parameters in a storage node is disclosed. The system includes: a traffic monitoring module, for acquiring observed values of performance parameters in the storage node; an adaptive neural fuzzy inference module, for learning a dynamic relationship between configurations of a plurality of storage devices in the storage node and the performance parameters during a period of time, and outputting fuzzy rules which is built according to the dynamic relationship; a traffic forecasting module, for providing forecasted values of the performance parameters in a particular point in time in the future; and a fuzzy rule control module, for arranging the configuration of the storage devices in the storage node in the particular point in time in the future according to the fuzzy rules and the forecasted values.
    Type: Grant
    Filed: May 21, 2014
    Date of Patent: August 23, 2016
    Assignee: Prophetstor Data Services, Inc.
    Inventors: Ming Jen Huang, Chun Fang Huang, Tsung Ming Shih, Wen Shyen Chen
  • Patent number: 9390331
    Abstract: A method of assessing a riparian area includes mapping a physical extent of a potential riparian area (PRA) along a stream using first imagery, determining a percent of basic functional groups of vegetation with the PRA using the first imagery, and determining a Normalized Difference Vegetation Index (NDVI) for the PRA over multiple years using second imagery. The method further includes setting an NDVI threshold value for riparian vegetation in the PRA using the NDVI, mathematically relating the percent of basic functional groups with the NDVI threshold value to evaluate and correct the NDVI threshold value, and determining a proper function and condition (PFC) assessment of the PRA using the corrected NDVI threshold value.
    Type: Grant
    Filed: April 14, 2015
    Date of Patent: July 12, 2016
    Inventors: Eric D. Sant, Gregg E. Simonds
  • Patent number: 9349096
    Abstract: A context-awareness system has an event data producer for forming event data from node data including a node value and node information, a context producer, and an event data manager for storing event data formation suppression information and event data conversion rules. The context producer sends the number of entries of event data (the number of inputs) to the event data manager per unit time. The manager sends to the event data producer the event data formation suppression information and event data conversion rules corresponding to the number of inputs. The event data producer forms event data depending on the event data formation suppression information and event data conversion rules corresponding to the number of inputs. Appropriate context information is formed without increasing the amount of resources when data including values related to events are entered in large amount and frequently.
    Type: Grant
    Filed: December 23, 2011
    Date of Patent: May 24, 2016
    Assignee: Oki Electric Industry Co., Ltd.
    Inventor: Toshihiko Matsunaga
  • Patent number: 9195948
    Abstract: Disclosed is a clinical diagnosis supporting method and system based on hierarchical fuzzy inference. The clinical diagnosis supporting method includes the steps of: (a) extracting check data of a plurality of check items for each of a plurality of patients from a respective check item database; (b) selecting a characteristic from the check data of each of the check items; (c) hierarchical fuzzy-inferring the check data from which the characteristic is selected, for each check item; (d) extracting a check opinion for each disease based on an output value of the fuzzy inference for each check item; and (e) making a synthetic clinical estimation based on the extracted check opinion.
    Type: Grant
    Filed: August 1, 2011
    Date of Patent: November 24, 2015
    Inventors: Chang Sik Son, Yoon Nyun Kim, Hee Joon Park, Suk Tae Seo, Min Soo Kim
  • Patent number: 9186051
    Abstract: An image processing device includes: an interest area detector that detects interest areas included in a time-series image group captured in time series; a calculation processing unit that calculates feature amounts indicative of features of the interest areas; an area classification unit that classifies the interest areas into area groups, based on the feature amounts of the interest areas and time-series positions of time-series images including the interest areas; a group feature amount calculation unit that calculates a group feature amount indicative of a feature of each of the area groups; an area selection unit that selects one or more representative areas of the interest areas belonging to the area groups, from among the area groups; and a representative image output unit that outputs one or more representative images including the representative areas in the time-series image group.
    Type: Grant
    Filed: January 17, 2012
    Date of Patent: November 17, 2015
    Inventor: Masashi Hirota
  • Patent number: 9190681
    Abstract: A method of controlling a fuel cell system includes applying alternating current (AC) signals to an individual fuel cell. The AC signals have a plurality of different frequencies. A voltage across the individual fuel cell is determined at each of the plurality of different frequencies. An impedance characteristic of the individual fuel cell is determined based at least in part on the voltage across the individual fuel cell at each of the plurality of different frequencies. The individual fuel cell is controlled based at least in part on the impedance characteristic.
    Type: Grant
    Filed: February 20, 2015
    Date of Patent: November 17, 2015
    Inventors: Matthias Gottmann, Patrick Muhl, Chad Pearson, James Daniel Smith
  • Patent number: 9165213
    Abstract: An information processing apparatus includes a network learning portion that performs learning of an appearance/position recognition network by constraining first to third weights and using a learning image, wherein the appearance/position recognition network has a foreground layer including a position node, a background layer including a background node, and an image layer including a pixel node, and is a neural network in which the position node, the background node, and the pixel node are connected to each other, and wherein the first weight is a connection weight between the position node and the pixel node, the second weight is a connection weight between the position node and the background node, and the third weight is a connection weight between the background node and the pixel node.
    Type: Grant
    Filed: November 30, 2012
    Date of Patent: October 20, 2015
    Assignee: Sony Corporation
    Inventors: Harumitsu Nobuta, Kenta Kawamoto, Kohtaro Sabe, Kuniaki Noda
  • Publication number: 20150058262
    Abstract: A system and method of automatic local grid refinements in reservoir simulation systems is described. In one aspect of the disclosure, a method is directed to a computer-implemented method of modeling a formation. The method includes applying a coarse grid to a geologic formation of interest, the coarse grid having a plurality of coarse grid blocks and identifying a structure of interest disposed in the formation. Further, the method includes determining a fine grid zone around the structure based upon a time period for flow simulation of the geologic formation and a geologic characteristic of the geologic formation in a local region adjacent the structure and applying a fine grid to the coarse grid blocks encompassed by the fine grid zone.
    Type: Application
    Filed: March 30, 2012
    Publication date: February 26, 2015
    Applicant: Landmark Graphines Corporation
    Inventors: Sheldon Gorell, Amit Kumar
  • Patent number: 8762061
    Abstract: A neural network process for improving wind retrievals from wind profiler measurements is described. In this invention, a neural network is trained to retrieve (missing or incomplete) upper level winds from ground based wind profiler measurements. Radiosonde measurements in conjunction with wind profiler ground measurements for specific geographical locations are used as training sets for the neural network. The idea is to retrieve timely and spatially continuous upper level wind information from (fragmented or incomplete) wind profiler measurements.
    Type: Grant
    Filed: July 16, 2010
    Date of Patent: June 24, 2014
    Inventor: Young Paul Yee
  • Publication number: 20140156563
    Abstract: A logic decoder circuit capable of performing Boolean or fuzzy logic has one or more logic components configured to perform a logic function of an AND-NOT gate, each AND-NOT gate comprising a circuit that performs a conjunction of an excitatory input X and an inhibitory input Y to obtain an output X-AND-NOT-Y substantially linearly for given ranges for X and Y. Certain preferred designs are provided for an X-AND-NOT-Y logic gate and a family of fast fuzzy decoders composed of such gates.
    Type: Application
    Filed: February 5, 2014
    Publication date: June 5, 2014
    Inventor: Lane Yoder
  • Patent number: 8708905
    Abstract: A method, device, and computer program product for monitoring the physiological state of a subject is disclosed. A first plurality of physiological signals are acquired from the subject and a second plurality of signal parameters are determined based on the first plurality of physiological signals. Relevant signal information is selected from among the signal information produced and at least one screen page is displayed at a time, thereby to make at least part of the signal information visible to a user. The signal information visible to the user on the at least one screen page may then be revised based on the selection and without user interaction, thereby to accelerate clinical decision-making and to diminish the possibility of undetected changes in the state of the subject.
    Type: Grant
    Filed: June 12, 2009
    Date of Patent: April 29, 2014
    Assignee: General Electric Company
    Inventor: Mika Sarkela
  • Patent number: 8700541
    Abstract: A modeling method of neuro-fuzzy system including a rule-defining process and a network-building process is disclosed. The rule-defining process divides a plurality of training data into a plurality of groups to accordingly define a plurality of fuzzy rules, and the network-building process constructs a fuzzy neural network based on the fuzzy rules obtained by the rule-defining process. The provided modeling method of neuro-fuzzy system is capable of building a neuro-fuzzy system extremely similar to an original function that generates training data of the neuro-fuzzy system.
    Type: Grant
    Filed: February 2, 2012
    Date of Patent: April 15, 2014
    Assignee: I-Shou University
    Inventors: Chen-Sen Ouyang, Rong-Ching Wu, Ching-Tai Chiang, Jong-Ian Tsai