Patents by Inventor Philip Ji

Philip Ji has filed for patents to protect the following inventions. This listing includes patent applications that are pending as well as patents that have already been granted by the United States Patent and Trademark Office (USPTO).

  • Publication number: 20230376783
    Abstract: An advance in the art is made according to aspects of the present disclosure directed to a method that determines virtual topology design and resource allocation for dynamic intent-based computing jobs in a mobile edge computing infrastructure when client requests are dynamic. Our method according to aspects of the present disclosure is an unsupervised machine learning approach, so that there is no need for manual labeling or pre-processing in advance, while a training process and decision making is performed online. In sharp contrast to the prior art, our method according to aspects of the present disclosure utilizes reinforcement learning techniques to make an efficient assignment in which two neural networks—a policy neural network and a value neural network—are used interactively to achieve the assignment. A training process is performed through a batch (or group) processing style in an online manner.
    Type: Application
    Filed: May 17, 2023
    Publication date: November 23, 2023
    Applicant: NEC Laboratories America, Inc.
    Inventors: Philip JI, Ting WANG, Zilong YE
  • Publication number: 20230375377
    Abstract: Computer vision based, wide-area snow/water level estimation methods using disparity maps. In one embodiment our method provides rich depth-information using a stereo camera and image processing. Scene images at normal and snow/rain weather conditions are obtained by a double-lens stereo camera and a disparity map is generated from the scene images at left and right lenses using a self-supervised deep convolutional network. In another embodiment, our method uses a single point snow/water level sensor, a stationary monocular camera to measure snow/water levels covering a wide area.
    Type: Application
    Filed: May 17, 2023
    Publication date: November 23, 2023
    Applicant: NEC Laboratories America, Inc.
    Inventor: Philip JI
  • Publication number: 20230358907
    Abstract: A flexible, rapid deployable perimeter monitoring system and method that employs distributed fiber optic sensing (DFOS) technologies and includes a deployment/operations field vehicle including an interrogator and analyzer/processor. The deployment/operations field vehicle is configured to field deploy a ruggedized fiber optic sensor cable in an arrangement that meets a specific application need, and subsequently interrogate/sense via DFOS any environmental conditions affecting the deployed fiber optic sensor cable. Such sensed conditions include mechanical vibration, acoustic, and temperature that may be advantageously sensed/evaluated/analyzed in the deployment/operations vehicle and subsequently communicated to a central location for further evaluation and/or coordination with other monitoring systems. Upon completion, the field vehicle and DFOS reconfigure a current location or redeployed to another location.
    Type: Application
    Filed: May 3, 2023
    Publication date: November 9, 2023
    Applicant: NEC LABORATORIES AMERICA, INC
    Inventors: Philip JI, Christopher WHITE, Ting WANG
  • Patent number: 11783452
    Abstract: Aspects of the present disclosure describe distributed fiber optic sensing (DFOS) systems, methods, and structures that advantageously provide traffic monitoring, and traffic management which improves the safety and efficiency of a roadway.
    Type: Grant
    Filed: April 4, 2021
    Date of Patent: October 10, 2023
    Inventors: Philip Ji, Eric Cosatto, Ting Wang
  • Patent number: 11742939
    Abstract: Aspects of the present disclosure describe distributed fiber optic sensor systems, methods, and structures that advantageously enable/provide for the proper placement/assignment of sensors in the DFOS network to provide for high reliability, fault tolerant operation that survives fiber failures.
    Type: Grant
    Filed: October 7, 2021
    Date of Patent: August 29, 2023
    Inventors: Philip Ji, Ting Wang, Zilong Ye
  • Patent number: 11677470
    Abstract: Aspects of the present disclosure describe a method of placement of sensors for DFOS systems, methods, and structures that advantageously employ concurrent sensing. In sharp contrast to the prior art, our inventive method—a heuristic method based on the Explore-and-Pick (EnP) algorithm, which we call a modified EnP (mEnP) method—includes two procedures. The first procedure of our mEnP method explores all possible sensing fiber routes (both linear and star-like routes) for each node in the given network. The second procedure applies a modified greedy algorithm for minimum set cover to select the minimum set of DFOS assignment to fully cover all the links in the given network.
    Type: Grant
    Filed: January 20, 2022
    Date of Patent: June 13, 2023
    Assignee: NEC Corporation
    Inventors: Philip Ji, Ting Wang, Zilong Ye
  • Publication number: 20230179297
    Abstract: Aspects of the present disclosure describe distributed fiber optic sensor systems, methods, and structures that advantageously enable/provide for the proper placement/assignment of sensors in the DFOS network to provide for high reliability, fault tolerant operation that survives multiple fiber failures.
    Type: Application
    Filed: December 5, 2022
    Publication date: June 8, 2023
    Applicant: NEC LABORATORIES AMERICA, INC
    Inventors: Philip JI, Ting WANG, Zilong YE
  • Publication number: 20230152130
    Abstract: Systems, methods, and structures for efficiently identifying individual fibers located in a deployed cable that advantageously reduces laborious field efforts while reducing service outage time. The systems and methods locate a targeted fiber in a cable (“Cable ID”) and then identify the targeted fiber (“Fiber ID”) by detecting DFOS signal attentions—without cutting the optical fiber. Two distinct determinations may be made namely, Cable ID and Fiber ID. DFOS operation detects vibration signals occurring along a sensor fiber. As implemented, Cable ID is an interactive-machine learning-based algorithm that automatically locates cable position along a sensor fiber route. Fiber ID detects a signal attenuation by bending a group of fibers with bifurcation to pinpoint a targeted individual fiber within a fiber cable.
    Type: Application
    Filed: November 15, 2022
    Publication date: May 18, 2023
    Applicant: NEC LABORATORIES AMERICA, INC
    Inventors: Ming-Fang HUANG, Philip JI, Shaobo HAN, Ting WANG
  • Publication number: 20230152151
    Abstract: Systems, methods, and structures for colorless distributed fiber optic sensing/distributed vibration sensing (DOFS/DVS) over dense wavelength division multiplexing (DWDM) telecommunications facilities that operate over a C-band wavelength range spanning from 1525 nm to 1565 nm wherein the DOFS/DVS systems exhibit suitable reconfigurability of its wavelength to match a wavelength of a desired testing channel and may advantageously provide DOFS/DVS capabilities to existing DWDM communications infrastructure as a retrofit.
    Type: Application
    Filed: November 15, 2022
    Publication date: May 18, 2023
    Applicant: NEC LABORATORIES AMERICA, INC
    Inventors: Yaowen LI, Jian FANG, Shuj MURAKAMI, Philip JI, Ting WANG
  • Publication number: 20230152152
    Abstract: Disclosed are distributed fiber optic sensing arrangements that—in sharp contrast to the prior art—utilize C-OTDR capabilities to detect an optical fiber end point while still maintaining operational DFOS vibration/acoustic signal sensing functions. Advantageously, such operations are performed automatically without requiring a manual confirmation. A change is made in digital signal processing in the C-OTDR operation by bypassing a high-pass-filtering stage when calculating intensity changes such that the DC signal component is preserved and used to differentiate from a “no-fiber” section. It then calculates the no-fiber section's signal level and uses a back-tracking operation to determine the fiber end automatically.
    Type: Application
    Filed: November 17, 2022
    Publication date: May 18, 2023
    Applicant: NEC LABORATORIES AMERICA, INC
    Inventors: Philip JI, Junqiang HU, Ting WANG, Ming-Fang HUANG, Yuheng CHEN
  • Publication number: 20230130788
    Abstract: Aspects of the present disclosure describe distributed fiber optic sensing (DFOS) systems, methods, and structures that advantageously sense/monitor outdoor facilities and structures including outdoor cabinets containing fiber optic facilities in which the cabinet/fiber optic cable contained therein are configured to provide superior acoustic sensing. Further outdoor facilities and structures that are monitored include manhole structures. Superior DFOS/DAS monitoring results are obtained by employing a machine learning-based analysis method that employs a temporal relation network (TRN).
    Type: Application
    Filed: October 2, 2022
    Publication date: April 27, 2023
    Applicant: NEC LABORATORIES AMERICA, INC
    Inventors: Sarper OZHARAR, Ting WANG, Yue TIAN, Yangmin DING, Philip JI, Shaobo Han, Ming-Fang Huang, Tingfeng Li
  • Publication number: 20220333956
    Abstract: Distributed fiber optic sensing (DFOS) systems and methods that automatically detect vibration signal patterns from waterfall data recorded by DFOS system operations in real- time and associate the detected vibration signal patterns to GPS location coordinates without human intervention or interpretation. When embodied as a computer vision-based operation according to aspects of the present disclosure, our inventive systems and method provide accurate, cost-efficient, and objective determination without relying on humans and their resulting bias' and inconsistencies.
    Type: Application
    Filed: April 13, 2022
    Publication date: October 20, 2022
    Applicant: NEC LABORATORIES AMERICA, INC
    Inventors: Shaobo HAN, Ming-Fang HUANG, Yuheng CHEN, Philip JI, Ting WANG
  • Publication number: 20220321219
    Abstract: A procedure to solve the DFOS placement problem that uses a genetic algorithm to achieve a global optimization of sensor placement. First, our procedure according to aspects of the present disclosure defines a fitness function that counts the number of DFOS sensors used. Second, the procedure uses a valid DFOS placement assignment to model an individual in the genetic algorithm. Each individual consists of N genes, where N is the number of nodes in the given network infrastructure, e.g., N=|V|. Each gene has two genomes: (1) a list of 0s and/or 1s, in which is represent the network nodes that are equipped with DFOS sensors, and 0s represent the nodes that are not equipped with DFOS sensors; (2) a list of sensing fiber routes. An individual that has smallest number of is in their genes will be considered as the strongest individual. Thirdly, the procedure randomly generates a population of individuals.
    Type: Application
    Filed: April 4, 2022
    Publication date: October 6, 2022
    Applicant: NEC LABORATORIES AMERICA, INC
    Inventors: Philip JI, Ting WANG, Zilong YE
  • Publication number: 20220263579
    Abstract: Aspects of the present disclosure describe a method of placement of sensors for DFOS systems, methods, and structures that advantageously employ concurrent sensing. In sharp contrast to the prior art, our inventive method—a heuristic method based on the Explore-and-Pick (EnP) algorithm, which we call a modified EnP (mEnP) method—includes two procedures. The first procedure of our mEnP method explores all possible sensing fiber routes (both linear and star-like routes) for each node in the given network. The second procedure applies a modified greedy algorithm for minimum set cover to select the minimum set of DFOS assignment to fully cover all the links in the given network.
    Type: Application
    Filed: January 20, 2022
    Publication date: August 18, 2022
    Applicant: NEC LABORATORIES AMERICA, INC
    Inventors: Philip JI, Ting WANG, Zilong YE
  • Publication number: 20220230539
    Abstract: Aspects of the present disclosure describe DFOS systems, methods, and structures that advantageously extract road traffic from DFOS vibration patterns such that anomaly detection is possible. Sensed vibration data is represented accurately as a set of points, where each point is denoted as a tuple with elements indicating a time stamp, a location along a length of a DFOS optical sensing cable, and vibration strength detected at the location at the time. Traffic pattern detection is based on a progressive probabilistic Hough transform (PPHT) that exploits global information from an entire spatial-temporal data snapshot to assess a cause of detected vibrations.
    Type: Application
    Filed: January 13, 2022
    Publication date: July 21, 2022
    Applicant: NEC LABORATORIES AMERICA, INC
    Inventors: Shaobo HAN, Ming-Fang HUANG, Philip JI, Yueheng CHEN, Milad SALEMI
  • Patent number: 11391622
    Abstract: An optical fiber sensing system with reduced spatial resolution and noise for multiple applications and method of operating same that employs a coherent receiver configured to detect and digitize both I and Q signals in two polarizations and performs signal beating in a digital signal processor (DSP) using the polarization-diverse signals to obtain beating results for multiple polarization state pairs that effectively reduces polarization induced fading effect(s) while providing faster sensing speed(s) and more efficient filtering. Since Rayleigh signals are captured in two orthogonal polarizations, four beating products are determined at once in the DSP and all are used for fiber strain determination thereby avoiding polarization fading.
    Type: Grant
    Filed: February 5, 2020
    Date of Patent: July 19, 2022
    Inventors: Ezra Ip, Yue-Kai Huang, Junqiang Hu, Philip Ji, Shuji Murakami, Yaowen Li
  • Patent number: 11387898
    Abstract: Aspects of the present disclosure describe optical fiber sensing systems, methods and structures disclosing a distributed optical fiber sensor network constructed on a switched optical fiber telecommunications infrastructure to detect temperatures, acoustic effects, and vehicle traffic—among others—demonstrated with a number of different network topologies.
    Type: Grant
    Filed: September 28, 2020
    Date of Patent: July 12, 2022
    Inventors: Ting Wang, Ming-Fang Huang, Yaowen Li, Philip Ji
  • Publication number: 20220149932
    Abstract: Aspects of the present disclosure describe distributed fiber optic sensor systems, methods, and structures that advantageously enable/provide for the proper placement/assignment of sensors in the DFOS network to provide for high reliability, fault tolerant operation that survives fiber failures.
    Type: Application
    Filed: October 7, 2021
    Publication date: May 12, 2022
    Applicant: NEC LABORATORIES AMERICA, INC
    Inventors: Philip JI, Ting WANG, Zilong YE
  • Publication number: 20220086541
    Abstract: Aspects of the present disclosure describe distributed fiber optic sensing (DFOS) systems, methods, and structures that advantageously employ a flexible resource sharing that balances sending distance requirements and route requirements. Such flexibility is achieved by including an ultra-fast 1×N optical switch with a DFOS interrogator and N fiber optic sensor routes. Synchronous control provides for real-time configuration/reconfiguration of the DFOS system.
    Type: Application
    Filed: September 7, 2021
    Publication date: March 17, 2022
    Applicant: NEC LABORATORIES AMERICA, INC
    Inventor: Philip JI
  • Publication number: 20220057254
    Abstract: Aspects of the present disclosure describe distributed fiber optic sensing (DFOS) systems, methods, and structures that employ a distributed fiber optic sensor placement procedure that advantageously provides a desirable sensor coverage over a network at minimal cost.
    Type: Application
    Filed: August 18, 2021
    Publication date: February 24, 2022
    Applicant: NEC LABORATORIES AMERICA, INC
    Inventors: Philip JI, Ting WANG, Zilong YE