Patents Assigned to University
  • Patent number: 11500037
    Abstract: A method and a system of detecting winding fault during online operation of an electrical machine, said method comprising, acquiring a set of signals from the machine over a period, said set of signals comprising two or more magnetic flux signals, each flux signal obtained from a respective flux sensor positioned on the external surface of the machine; extracting an internal winding fault indicator from the set of signals; comparing the internal winding fault indicator with a baseline indicator; and determining the internal winding fault when the internal winding fault indicator deviates from the baseline indicator by a threshold.
    Type: Grant
    Filed: August 5, 2019
    Date of Patent: November 15, 2022
    Assignees: Sembcorp Industries Ltd, National University of Singapore
    Inventors: Subash Chandar Athikessavan, Shiva Shankaranarayanan Muthuraj, Sanjib Kumar Panda, Elango Jeyasankar, Sai Srinivas Manohar
  • Patent number: 11501829
    Abstract: A resistive random-access memory (RRAM) system includes an RRAM cell. The RRAM cell includes a first select line and a second select line, a word line, a bit line, a first resistive memory device, a first switching device, a second resistive memory device, a second switching device, and a comparator. The first resistive memory device is coupled between a first access node and the bit line. The first switching device is coupled between the first select line and the first access node. The second resistive memory device is coupled between a second access node and the bit line. The second switching device is coupled between the second select line and the second access node. The comparator includes a first input coupled to the bit line, a second input, and an output.
    Type: Grant
    Filed: July 6, 2020
    Date of Patent: November 15, 2022
    Assignee: Arizona Board of Regents on behalf of Arizona State University
    Inventors: Jae-sun Seo, Shimeng Yu
  • Patent number: 11502129
    Abstract: A three-dimensional semiconductor integrated circuit includes a first CMOS circuit layer including a plurality of first CMOS circuit blocks; an insulating layer disposed on a top of the first CMOS circuit layer; a plurality of atomic switching elements respectively disposed inside via holes extending through the insulating layer, wherein the plurality of atomic switching elements are electrically connected to the plurality of first CMOS circuit blocks, respectively; a driver circuit layer disposed on a top of the insulating layer, and electrically connected with the atomic switching elements, wherein the driver circuit layer include a driver circuit for selectively turning on and off the atomic switching elements; and a second CMOS circuit disposed on a top of the driver circuit layer and connected to the atomic switching elements.
    Type: Grant
    Filed: February 15, 2021
    Date of Patent: November 15, 2022
    Assignee: Research & Business Foundation Sungkyunkwan University
    Inventors: Sungjoo Lee, Jae Hyeok Ju, Jin-Hong Park, Sungpyo Baek
  • Patent number: 11498713
    Abstract: An integrated device includes a rack (1) which holds three layers of conveying channels from top to bottom: a detection conveying channel (4), a loading conveying channel (3), and a discharge conveying channel (2). The detection conveying channel (4) matches with a detection device (6). One end of the detection conveying channel (4) is provided with a screening opening (7) equipped with a transfer device (8) configured to transfer a case (5) from the screening opening (7) to the loading conveying channel (3). A loading opening is provided in the middle of the loading conveying channel (3), which docks with a loading device (10) provided on the discharge conveying channel (2). The loading conveying channel (3) is positioned on both sides of the loading opening and transports a packaging box (9) and the case (5) to the loading opening.
    Type: Grant
    Filed: June 25, 2020
    Date of Patent: November 15, 2022
    Assignee: Dongguan University of Technology
    Inventors: Shenggui Chen, Yongbo Huang, Wentao Zhang, Zhaoyang Lin, Zhenzhong Sun, Bingheng Lu
  • Patent number: 11499247
    Abstract: This disclosure provides a vapor-liquid reaction device including a vapor-liquid reaction chamber and a projecting member. The vapor-liquid reaction chamber holds a molten metal in a lower portion of an internal space of the vapor-liquid reaction chamber.
    Type: Grant
    Filed: May 17, 2018
    Date of Patent: November 15, 2022
    Assignees: National University Corporation Tokyo University of Agriculture and Technology, Taiyo Nippon Sanso Corporation, Taiyo Nippon Sanso CSE Corporation
    Inventors: Akinori Koukitu, Hisashi Murakami, Akira Yamaguchi, Kazushige Shiina, Hayato Shimamura
  • Patent number: 11498936
    Abstract: The present invention relates to methods of forming metal-pyridine derivative complexes using pericyclic reactions with metal-1,2,4-triazine derivative complexes and a dienophile as the reactants. The reactants are bioorthogonal and the methods are particularly useful in preparing imaging agents.
    Type: Grant
    Filed: December 13, 2018
    Date of Patent: November 15, 2022
    Assignee: University of Northumbria at Newcastle
    Inventor: Valery Kozhevnikov
  • Patent number: 11500042
    Abstract: A magnetic sensing device includes a non-magnetic layer serving as a spacer and two magnetic layers that sandwich the spacer, and two oxide layers that sandwich the trilayer structure including the two magnetic layers and the spacer.
    Type: Grant
    Filed: March 1, 2021
    Date of Patent: November 15, 2022
    Assignee: Brown University
    Inventors: Gang Xiao, Kang Wang, Yiou Zhang
  • Patent number: 11500018
    Abstract: Circuits, methods, and systems are provided which facilitate testing of asynchronous circuits having one or more global or local feedback loops. A circuit includes a data path and a scan path. The data path has an input configured to receive a data input signal, and a first output. The scan path includes a first multiplexer having a first input configured to receive the data input signal, a latch coupled to an output of the first multiplexer, a scan isolator coupled to an output of the latch, and a second multiplexer having a first input coupled to the first output of the data path and a second input coupled to an output of the scan isolator. The second multiplexer is configured to output a data output signal.
    Type: Grant
    Filed: June 25, 2021
    Date of Patent: November 15, 2022
    Assignees: Taiwan Semiconductor Manufacturing Co., Ltd., National Taiwan University
    Inventors: Ting-Yu Shen, Chien-Mo Li
  • Patent number: 11502542
    Abstract: A high performance kilowatt-scale large air-gap multi-modular capacitive wireless power transfer (WPT) system is provided for electric vehicle (EV) charging. In one particular implementation, the multi-modular system achieves high power transfer while maintaining fringing electric fields within prescribed safety limits. The fringing fields are reduced using near-field phased-array field-focusing techniques, wherein the adjacent modules of the multi-modular system are out-phased with respect to one another. The inter-module interactions in this multi-modular system can be modeled, and an approach to eliminate these interactions in a practical EV charging environment is provided. To illustrate one example implementation, a prototype 1.2-kW 6.78-MHz 12-cm air-gap multi-modular capacitive WPT system comprising two 600-W modules is provided. This prototype system achieves 21.2 kW/m2 power transfer density and a peak efficiency of 89.8%.
    Type: Grant
    Filed: August 1, 2018
    Date of Patent: November 15, 2022
    Assignee: The Regents of the University of Colorado
    Inventors: Khurram K Afridi, Brandon Regensburger, Sreyam Sinha, Ashish Kumar, Zoya Popovic
  • Patent number: 11501032
    Abstract: Methods are provided for designing a structure with developable surfaces using a surface developability constraint. The surface developability constraint is developed based on the discovery of a sufficient condition for surface piecewise developability, namely surface normal directions lie on a small, finite number of planes. Automated methods and algorithms may include providing a design domain and a characteristic function of a material in the design domain to be optimized. The methods include defining a nodal density of the material, and determining surface normal directions of a plurality of planes. A density gradient that describes the surface normal directions is then determined. The methods include performing a topology optimization process on the design domain using a surface developability constraint that is based, at least in part, on the characteristic function. A geometric domain is then created for the structure using results from the topology optimization.
    Type: Grant
    Filed: January 31, 2020
    Date of Patent: November 15, 2022
    Assignees: Toyota Motor Engineering & Manufacturing North America, Inc., The Regents of the University of Michigan
    Inventors: Yuqing Zhou, Tsuyoshi Nomura, Kazuhiro Saitou
  • Patent number: 11497417
    Abstract: An embodiment in accordance with the present invention includes a technology to continuously measure patient mobility automatically, using sensors that capture color and depth images along with algorithms that process the data and analyze the activities of the patients and providers to assess the highest level of mobility of the patient. An algorithm according to the present invention employs the following five steps: 1) analyze individual images to locate the regions containing every person in the scene (Person Localization), 2) for each person region, assign an identity to distinguish ‘patient’ vs. ‘not patient’ (Patient Identification), 3) determine the pose of the patient, with the help of contextual information (Patient Pose Classification and Context Detection), 4) measure the degree of motion of the patient (Motion Analysis), and 5) infer the highest mobility level of the patient using the combination of pose and motion characteristics (Mobility Classification).
    Type: Grant
    Filed: October 4, 2017
    Date of Patent: November 15, 2022
    Assignee: The Johns Hopkins University
    Inventors: Suchi Saria, Andy Jinhua Ma, Austin Reiter
  • Patent number: 11500152
    Abstract: Provided are three dimensional, stretchable, optical sensor networks that can localize deformations. The devices described herein are suitable for uses in soft robots to determine the position of external contact, such as touching, and possibly internal deformations that may be caused by actuation. Sensor networks of the present disclosure contain a substrate, such as a 3D lattice, and cores having a cladding, such as air. Light passes through the cores and upon deformation of the substrate, cores may come into contact, allowing light to couple between cores due to frustrated total internal reflection. The resulting changes in intensity in the cores can be used to determine the placement and magnitude of deformation.
    Type: Grant
    Filed: November 29, 2018
    Date of Patent: November 15, 2022
    Assignee: Cornell University
    Inventors: Patricia Xu, Robert F. Shepherd
  • Patent number: 11502622
    Abstract: The disclosure provides an electricity generating insert for a piece of footwear, the insert can be removably placed in the heel portion, e.g. under the insole. The insert comprises a multilayer piezoelectric stack that alternatively flexes under the compression-decompression that occurs during locomotion, which flexing causes friction in the stack to generate electricity capable of charging electronic devices and the like, e.g. via a port on the footwear.
    Type: Grant
    Filed: November 8, 2019
    Date of Patent: November 15, 2022
    Assignee: The Research Foundation for The State University of New York
    Inventors: Ya Wang, Haili Liu
  • Patent number: 11501580
    Abstract: The present disclosure provides a method for facilitating implementing biometric recognition. Further, the method may include receiving two or more biometric images of one or more biometric identifiers of one or more individuals from one or more devices. Further, the two or more biometric images may be in two or more spectrums. Further, the method may include analyzing the two or more biometric images using one or more deep hashing network models. Further, the method may include extracting two or more discriminative deep hashing codes from the two or more biometric images based on the analyzing. Further, the method may include generating a biometric template based on the two or more discriminative deep hashing codes. Further, the method may include generating a biometric key for the one or more biometric identifiers using a fuzzy commitment scheme based on the biometric template. Further, the method may include storing the biometric key.
    Type: Grant
    Filed: March 30, 2022
    Date of Patent: November 15, 2022
    Assignee: King Saud University
    Inventors: Muhammad Khurram Khan, Tengfei Wu, Leng Lu
  • Patent number: 11501192
    Abstract: Techniques for use in connection with performing optimization using an objective function that maps elements in a first domain to values in a range. The techniques include using at least one computer hardware processor to perform: identifying a first point at which to evaluate the objective function at least in part by using an acquisition utility function and a probabilistic model of the objective function, wherein the probabilistic model depends on a non-linear one-to-one mapping of elements in the first domain to elements in a second domain; evaluating the objective function at the identified first point to obtain a corresponding first value of the objective function; and updating the probabilistic model of the objective function using the first value to obtain an updated probabilistic model of the objective function.
    Type: Grant
    Filed: September 4, 2018
    Date of Patent: November 15, 2022
    Assignees: President and Fellows of Harvard College, The Governing Council of the University of Toronto
    Inventors: Ryan P. Adams, Roland Jasper Snoek, Kevin Swersky, Richard Zemel
  • Patent number: 11497641
    Abstract: The present disclosure is relates to an orthosis device. The orthosis device, in one embodiment, includes an actuator housing, and an electric motor coupled to the actuator housing, the electric motor including a motor stator and a motor rotor, and the electric motor further having high output torque. The orthosis device, in this embodiment, further includes a low-ratio transmission coupled to the actuator housing, the transmission including a gear system coupled to the actuator housing, and a drive system coupling the electric motor and the gear system, wherein a combination of the electric motor and transmission provide a user backdrivable orthosis device.
    Type: Grant
    Filed: May 11, 2018
    Date of Patent: November 15, 2022
    Assignee: Board of Regents, The University of Texas System
    Inventors: Robert D. Gregg, Hanqi Zhu
  • Patent number: 11499094
    Abstract: The present disclosure provides a ratiometric fluorescent probe, a preparation method thereof, and an application in detection of hydrogen peroxide. In the present disclosure, MoOx QDs (nanoenzymes) and Co/Zn-MOFs both have catalytic activity, and the large specific surface area and porous structure of Co/Zn-MOFs can provide more binding sites for the contact between nanoenzymes and substrates. Moreover, Co/Zn-MOFs have high catalytic activity similar to natural enzymes. When nanoenzymes with fluorescent properties encounter Co/Zn-MOFs with similar catalytic activity, they will collide with a spark of “synergy catalysis”, and the fusion of the two plays a role of synergy catalysis; in addition, the uniform cavity of Co/Zn-MOFs can provide “hosts” for nanoenzymes, and Co/Zn-MOFs provide “anchors” for MoOx QDs, avoiding the aggregation of MoOx QDs and enhancing the stability of the probe.
    Type: Grant
    Filed: January 14, 2022
    Date of Patent: November 15, 2022
    Assignee: Zhejiang University
    Inventors: Yong He, Yongqiang Shi, Xuping Feng, Lei Lin, Fangfang Qu, Mingzhu Tao
  • Patent number: 11498248
    Abstract: A novel material for producing auxetic foams is disclosed. The material comprises a multiphase, multicomponent polymer foam with a filler polymer having a carefully selected glass transition temperature. Novel methods for producing auxetic foams from the material are also disclosed that consistently, reliably and quickly produce auxetic polyurethane foam at about room temperature (25° C.). This technology overcomes challenging issues in the large-scale production of auxetic PU foams, such as unfavorable heat-transmission problem and harmful organic solvents.
    Type: Grant
    Filed: October 11, 2019
    Date of Patent: November 15, 2022
    Assignee: The Florida State University Research Foundation, Inc.
    Inventors: Changchun Zeng, Yan Li
  • Patent number: 11499167
    Abstract: Adeno-associated virus rh.10 sequences, vectors containing same, and methods of use are provided.
    Type: Grant
    Filed: October 12, 2021
    Date of Patent: November 15, 2022
    Assignee: The Trustees of the University of Pennsylvania
    Inventors: Guangping Gao, James M. Wilson, Mauricio R. Alvira
  • Patent number: 11503292
    Abstract: The present invention provides a method for encoding a video signal on the basis of a graph-based separable transform (GBST), the method comprising the steps of: generating an incidence matrix representing a line graph; training a sample covariance matrix for rows and columns from the rows and columns of a residual signal; calculating a graph Laplacian matrix for rows and columns on the basis of the incidence matrix and the sample covariance matrix for rows and columns; and obtaining a GBST by performing eigen decomposition of the graph Laplacian matrix for rows and columns.
    Type: Grant
    Filed: February 1, 2017
    Date of Patent: November 15, 2022
    Assignees: LG Electronics Inc., University of Southern California
    Inventors: Hilmi E. Egilmez, Yung-Hsuan Chao, Antonio Ortega, Bumshik Lee, Sehoon Yea