Fuzzy Neural Network Patents (Class 706/2)
  • 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
    Assignee: FANUC CORPORATION
    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
    Assignee: FUJIFILM SONOSITE, INC.
    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
    Assignee: KOH YOUNG TECHNOLOGY INC.
    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
    Assignee: SIEMENS AKTIENGESELLSCHAFT
    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
    Assignee: CAPITAL ONE SERVICES, LLC
    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
    Assignee: INTERNATIONAL BUSINESS MACHINES CORPORATION
    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
    Assignee: BLOOM ENERGY CORPORATION
    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
    Assignee: MICROSOFT TECHNOLOGY LICENSING, LLC
    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
    Assignee: SIEMENS AKTIENGESELLSCHAFT
    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
    Assignee: OPEN RANGE CONSULTING
    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
    Assignee: KEIMYUNG UNIVERSITY INDUSTRY ACADEMIC COOPERATION FOUNDATION
    Inventors: Chang Sik Son, Yoon Nyun Kim, Hee Joon Park, Suk Tae Seo, Min Soo Kim
  • 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
    Assignee: BLOOM ENERGY CORPORATION
    Inventors: Matthias Gottmann, Patrick Muhl, Chad Pearson, James Daniel Smith
  • 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
    Assignee: OLYMPUS CORPORATION
    Inventor: Masashi Hirota
  • 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
  • Patent number: 8583565
    Abstract: Methods and systems for controlling a prosthesis using a brain imager that images a localized portion of the brain are provided according to one embodiment of the invention. For example, the brain imager can provide motor cortex activation data using near infrared imaging techniques and EEG techniques among others. EEG and near infrared signals can be correlated with brain activity related to limbic control and may be provided to a neural network, for example, a fuzzy neural network that maps brain activity data to limbic control data. The limbic control data may then be used to control a prosthetic limb. Other embodiments of the invention include fiber optics that provide light to and receive light from the surface of the scalp through hair.
    Type: Grant
    Filed: August 5, 2010
    Date of Patent: November 12, 2013
    Assignee: Colorado Seminary, which owns and operates the University of Denver
    Inventors: Rahmat A. Shoureshi, Christopher Aasted
  • Patent number: 8572086
    Abstract: In one embodiment, a method of generating annotation tags (28) for a digital image (22) includes maintaining a library (16) of human-meaningful words or phrases organized as category entries (72) according to a number of defined image description categories (70), and receiving context metadata (20) associated with the capture of a given digital image (22). The method further includes selecting particular category entries (72-1, 72-2) as vocabulary metadata (24) for the digital image (22) by mapping the context metadata (20) into the library (16), and generating annotation tags (28) for the digital image (22) by logically combining the vocabulary metadata (24) according to a defined set of deductive logic rules (30) that are predicated on the defined image description categories (70). In another embodiment, a processing apparatus (12), such as a digital processor (18, 26) and supporting memory (14), etc., is configured to carry out the above method, or to carry out variations of the above method.
    Type: Grant
    Filed: January 21, 2009
    Date of Patent: October 29, 2013
    Assignee: Telefonaktiebolaget LM Ericsson (publ)
    Inventors: Joakim Soderberg, Jonas Bjork, Andreas Fasbender
  • Patent number: 8521759
    Abstract: An input feature vector is computed from an input text record, the input feature vector comprising one or more features, each feature including a subsequence of characters and a frequency of occurrence of the associated subsequence. A input fingerprint is generated out of the input feature vector by choosing one or more features with non-zero frequencies and alphabetizing the features chosen. One or more input indices are generated by alphabetizing features in the input fingerprint and concatenating features occurring in subsequent locations of the input fingerprint. The input text record is matched against a target text record if (1) one or more of the input indices match a target index corresponding to the target text record and (2) the corresponding input fingerprint matches a target fingerprint corresponding to the target text record. The target text record is outputted as a search result if it matches the input text record.
    Type: Grant
    Filed: May 23, 2011
    Date of Patent: August 27, 2013
    Assignee: Rovi Technologies Corporation
    Inventors: Joonas Asikainen, Brian Kenneth Vogel
  • Patent number: 8407029
    Abstract: A first graph embedded in a Euclidean space is modeled by a globally rigid first model graph that includes all vertices and edges of the first graph and has a preselected maximum clique size. The modeling is configured to maintain the preselected maximum clique size by employing an edge adding process that replicates a vertex of a vertex pair connected by an edge. A mapping between vertices of the first graph and vertices of a second graph is computed by optimizing a mapping between vertices of the first model graph and vertices of the second graph.
    Type: Grant
    Filed: October 1, 2009
    Date of Patent: March 26, 2013
    Assignee: Xerox Corporation
    Inventors: Julian McAuley, Teofilo E. de Campos
  • Patent number: 8352055
    Abstract: A method for implementing production processes includes a step of programming a state machine for each production process. The programming step includes a definition of a plurality of states and a definition of a plurality of transitions between states, corresponding to possible actions which the corresponding production process may execute. The programming step further includes the steps of detecting whether or not one or more states to be defined for a state machine have already been defined for state machines already programmed for other production processes, and executing the definition of states only for states not detected in the detecting step.
    Type: Grant
    Filed: September 29, 2009
    Date of Patent: January 8, 2013
    Assignee: Siemens Aktiengesellschaft
    Inventor: Paolo Olmino
  • Publication number: 20120317058
    Abstract: A method for predicting risk and designing safety management systems of complex production and process systems which has been applied to an FPSO System operating in deep waters. The methods for the design were derived from the inclusion of a weight index in a fuzzy class belief variable in the risk model to assign the relative numerical value or importance a safety device or system has contain a risk hazards within the barrier. The weights index distributes the relative importance of risk events in series or parallel in several interactive risk and safety device systems. The fault tree, the FMECA and the Bow Tie now contains weights in fizzy belief class for implementing safety management programs critical to the process systems. The techniques uses the results of neural networks derived from fuzzy belief systems of weight index to implement the safety design systems thereby limiting use of experienced procedures and benchmarks. The weight index incorporate Safety Factors sets SFri {0, 0.1, 0.2 . . .
    Type: Application
    Filed: June 13, 2011
    Publication date: December 13, 2012
    Inventor: Kingsley E. ABHULIMEN
  • Patent number: 8266145
    Abstract: An example method is illustrated as including receiving a first content set, the first content set organized according to a rules set, using the rules set to parse the first content set to generate a first pattern set having a plurality of members, assigning a weighted value to each member of the first and a second pattern set based on a frequency of occurrence of each member in the first and second pattern sets, wherein each member of the first and second pattern sets includes digital content, and determining a relevancy score linking each of the members of the first and second pattern set in a one to one mapping of the members of the first pattern set to each of the members of the second pattern set, wherein the relevancy score is based upon the weighted value assigned to each member of the first and second pattern sets.
    Type: Grant
    Filed: March 10, 2008
    Date of Patent: September 11, 2012
    Assignee: 1759304 Ontario Inc.
    Inventors: David Yum Kei Leung, Mehdi Ravandi
  • Publication number: 20120166363
    Abstract: A fault detection system for use with a solar hot water system may include a data acquisition module which may, in turn, include a plurality of sensors. Input data may include a sensed condition. The system may also include a neural network to receive the input data which may be a multi-layer hierarchical adaptive resonance theory (ART) neural network. The neural network may perform an analysis on the input data to determine existence of a fault or a condition indicative of a potential fault. The fault and the condition indicative of the potential fault are prioritized according to the analysis performed by the neural network. A warning output relating to the fault and the condition indicative of the potential fault is generated responsive to the analysis, and is displayed on the user interface.
    Type: Application
    Filed: December 21, 2011
    Publication date: June 28, 2012
    Inventors: Hongbo He, Andrea Mammoli, Thomas Caudell
  • Patent number: 8195345
    Abstract: The method for generating an integrated guidance law for aerodynamic missiles uses a strength Pareto evolutionary algorithm (SPEA)-based approach for generating an integrated fuzzy guidance law, which includes three separate fuzzy controllers. Each of these fuzzy controllers is activated in a unique region of missile interception. The distribution of membership functions and the associated rules are obtained by solving a nonlinear constrained multi-objective optimization problem in which final time, energy consumption, and miss distance are treated as competing objectives. A Tabu search is utilized to build a library of initial feasible solutions for the multi-objective optimization algorithm. Additionally, a hierarchical clustering technique is utilized to provide the decision maker with a representative and manageable Pareto-optimal set without destroying the characteristics of the trade-off front. A fuzzy-based system is employed to extract the best compromise solution over the trade-off curve.
    Type: Grant
    Filed: August 5, 2010
    Date of Patent: June 5, 2012
    Assignee: King Fahd University of Petroleum & Minerals
    Inventors: Hanafy M. Omar, Mohammad A. Abido
  • Patent number: 8190307
    Abstract: The control optimization method for helicopters carrying suspended loads during hover flight utilizes a controller based on time-delayed feedback of the load swing angles. The controller outputs include additional displacements, which are added to the helicopter trajectory in the longitudinal and lateral directions. This simple implementation requires only a small modification to the software of the helicopter position controller. Moreover, the implementation of this controller does not need rates of the swing angles. The parameters of the controllers are optimized using the method of particle swarms by minimizing an index that is a function of the history of the load swing. Simulation results show the effectiveness of the controller in suppressing the swing of the slung load while stabilizing the helicopter.
    Type: Grant
    Filed: August 23, 2010
    Date of Patent: May 29, 2012
    Assignee: King Fahd University of Petroleum & Minerals
    Inventor: Hanafy M. Omar
  • Patent number: 8185259
    Abstract: The fuzzy logic-based control method for helicopters carrying suspended loads utilizes a controller based on fuzzy logic membership distributions of sets of load swing angles. The anti-swing controller is fuzzy-based and has controller outputs that include additional displacements added to the helicopter trajectory in the longitudinal and lateral directions. This simple implementation requires only a small modification to the software of the helicopter position controller. The membership functions govern control parameters that are optimized using a particle swarm algorithm. The rules of the anti-swing controller are derived to mimic the performance of a time-delayed feedback controller. A tracking controller stabilizes the helicopter and tracks the trajectory generated by the anti-swing controller.
    Type: Grant
    Filed: August 23, 2010
    Date of Patent: May 22, 2012
    Assignee: King Fahd University of Petroleum & Minerals
    Inventor: Hanafy M. Omar
  • Patent number: 8065240
    Abstract: Methods, apparatuses, computer program products, devices and systems are described that carry out specifying at least one of a plurality of user-health test functions responsive to an interaction between a user and at least one advertiser-specified attribute; and transmitting at least one output of the at least one user-health test function related to the at least one advertiser-specified attribute.
    Type: Grant
    Filed: October 31, 2007
    Date of Patent: November 22, 2011
    Assignee: The Invention Science Fund I
    Inventors: Edward K. Y. Jung, Eric C. Leuthardt, Royce A. Levien, Robert W. Lord, Mark A. Malamud
  • Patent number: 8027532
    Abstract: A method for recognition between a first and second object represented by at least one first image and at least one second image, includes defining rectangular assemblies of random pixels; filtering the first image with first n filters obtained from the assemblies of pixels to obtain n first filtered matrices; classifying the n first filtered matrices by providing a first center and a first radius within a space of N dimensions; filtering the second image with the first n filters to obtain n second filtered matrices; classifying the n second filtered matrices by providing a second center within the space of N dimensions; and comparing the first center and first radius with the second center.
    Type: Grant
    Filed: March 17, 2006
    Date of Patent: September 27, 2011
    Assignee: Kee Square S.r.l.
    Inventors: Marco Marcon, Davide Onofrio
  • Patent number: 8010464
    Abstract: A computerized data equidistant-mapping method and a computer system using the same are provided. The computerized data equidistant-mapping method is used for mapping M sets of K-dimensional original data into a D-dimensional space in a manner of equidistance. The computerized data equidistant-mapping method includes the following steps. M sets of D-dimensional mapping data each corresponding to each original data respectively and sequentially are generated. An initial mapping data and an initial original data are chosen arbitrarily, wherein the initial mapping data corresponds to the initial original data. The mapping distance between each mapping data and the initial mapping data is computed. The original distance between each original data and the initial original data is computed. Each mapping data is amended according to each mapping distance and each original distance for enabling each mapping data and each original data to have equidistant-mapping relationship gradually.
    Type: Grant
    Filed: December 27, 2007
    Date of Patent: August 30, 2011
    Assignee: Industrial Technology Research Institute
    Inventors: Shih-Pin Chao, Chien-Chun Kuo, Chen-Lan Yen