Patents by Inventor Yen-Kuang Chen

Yen-Kuang Chen 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).

  • Patent number: 10938909
    Abstract: A plurality of devices are detected within range of a particular device, and capabilities of each of the plurality of devices are determined, as well as a respective taxonomy to be associated with each device based on the device's capabilities. A set of asset abstractions are identified, referenced by a particular software application configured to manage a particular machine-to-machine network. Each asset abstraction can correspond to a respective one of the set of taxonomies, and the particular machine-to-machine network can be built from an instance of each one of the set of asset abstractions. A subset of the plurality of devices can be selected for deployment in the particular machine-to-machine network based on the associated taxonomies, the subset of devices representing an instance of each one of the set of asset abstractions. The subset of devices are then automatically deployed to implement the instance of the particular machine-to-machine network.
    Type: Grant
    Filed: December 26, 2015
    Date of Patent: March 2, 2021
    Assignee: Intel Corporation
    Inventors: Shao-Wen Yang, Yen-Kuang Chen
  • Publication number: 20210051041
    Abstract: A mechanism is described for facilitating portable, reusable, and shareable Internet of Things-based services and resources according to one embodiment. A method of embodiments, as described herein, includes wherein receiving a recipe request for selecting a recipe relating to Internet of Things (IoT) services, where selecting includes at least one of searching the recipe and modifying the recipe. The method may further include selecting the recipe, where the recipe includes a set of resource requirements and business logic. The method may further include modifying the set of resource requirements, where the modified set of resource requirements is associated with the business logic to modify the recipe, and deploying the modified recipe at one or more computing devices, where the modified recipe to facilitate management for one or more IoT devices at one or more locations.
    Type: Application
    Filed: April 24, 2020
    Publication date: February 18, 2021
    Applicant: Intel Corporation
    Inventors: SHAO-WEN YANG, NYUK KIN KOO, YEN-KUANG CHEN
  • Patent number: 10904083
    Abstract: Systems, apparatuses and methods may identify a capability abstraction in a request to configure a first Internet of Things (IOT) application in a physical environment including a plurality of IOT devices and select a resource abstraction from a plurality of resource abstractions based on the capability abstraction. The selected resource abstraction may correspond to a first IOT device in the plurality of IOT devices. Additionally, the first IOT application may be bound with the first IOT device. In one example, first data originating from the first IOT device is received, a first runtime abstraction is selected from a plurality of runtime abstractions, wherein the first runtime abstraction corresponds to the first IOT application, and the first data is sent to the first IOT application via the first runtime abstraction.
    Type: Grant
    Filed: September 25, 2015
    Date of Patent: January 26, 2021
    Assignee: Intel Corporation
    Inventors: Shao-wen Yang, Yen-Kuang Chen
  • Publication number: 20210020041
    Abstract: In one embodiment, an apparatus comprises a processor to: identify a workload comprising a plurality of tasks; generate a workload graph based on the workload, wherein the workload graph comprises information associated with the plurality of tasks; identify a device connectivity graph, wherein the device connectivity graph comprises device connectivity information associated with a plurality of processing devices; identify a privacy policy associated with the workload; identify privacy level information associated with the plurality of processing devices; identify a privacy constraint based on the privacy policy and the privacy level information; and determine a workload schedule, wherein the workload schedule comprises a mapping of the workload onto the plurality of processing devices, and wherein the workload schedule is determined based on the privacy constraint, the workload graph, and the device connectivity graph.
    Type: Application
    Filed: March 30, 2020
    Publication date: January 21, 2021
    Applicant: Intel Corporation
    Inventors: Shao-Wen Yang, Yen-Kuang Chen, Addicam V. Sanjay
  • Patent number: 10887614
    Abstract: Techniques related to applying computer vision to decompressed video are discussed. Such techniques may include generating a region of interest in an individual video frame by translating spatial indicators of a first detected computer vision result from a reference video frame to the individual video frame and applying a greater threshold within the region of interest than outside of the region of interest for computer vision evaluation in the individual frame.
    Type: Grant
    Filed: June 24, 2019
    Date of Patent: January 5, 2021
    Assignee: Intel Corporation
    Inventors: Srenivas Varadarajan, Omesh Tickoo, Vallabhajosyula Somayazulu, Yiting Liao, Ibrahima Ndiour, Shao-Wen Yang, Yen-Kuang Chen
  • Publication number: 20200374534
    Abstract: AI-assisted programmable hardware video codec is disclosed. According to certain embodiments, a video processing apparatus includes a programmable hardware encoder configured to execute an encoding process on a plurality of input video frames. The video processing apparatus further includes a controller coupled with the programmable hardware encoder. The controller is configured to execute a set of instructions to cause the video processing apparatus to: determine first information of the plurality of input video frames, and adjust the encoding process based on the first information.
    Type: Application
    Filed: May 6, 2020
    Publication date: November 26, 2020
    Inventors: Yen-kuang CHEN, Lingjie XU, Minghai QIN, Ping CHEN, Xinyang YU, Qinggang ZHOU
  • Publication number: 20200357276
    Abstract: In one embodiment, an apparatus comprises a memory and a processor. The memory is to store sensor data captured by one or more sensors associated with a first device. Further, the processor comprises circuitry to: access the sensor data captured by the one or more sensors associated with the first device; determine that an incident occurred within a vicinity of the first device; identify a first collection of sensor data associated with the incident, wherein the first collection of sensor data is identified from the sensor data captured by the one or more sensors; preserve, on the memory, the first collection of sensor data associated with the incident; and notify one or more second devices of the incident, wherein the one or more second devices are located within the vicinity of the first device.
    Type: Application
    Filed: January 3, 2020
    Publication date: November 12, 2020
    Applicant: Intel Corporation
    Inventors: Shao-Wen Yang, Eve M. Schooler, Maruti Gupta Hyde, Hassnaa Moustafa, Katalin Klara Bartfai-Walcott, Yen-Kuang Chen, Jessica McCarthy, Christina R. Strong, Arun Raghunath, Deepak S. Vembar
  • Publication number: 20200334046
    Abstract: User inputs received through a graphical user interface of a programming tool are used to define a set of capability abstractions for a particular application and further define, based on the one or more user inputs, relationships between the set of capability abstractions. The particular application is to utilize a machine-to-machine network, and the set of capability abstractions include: a sensor capability abstraction, an actuator capability abstraction, a computation logic capability abstraction, an input user interface (UI) capability abstraction, and an output UI capability abstraction for the particular application. The relationships include a relationship between the input UI capability abstraction and the computation logic capability abstraction, where the input UI capability is to provide an input to the computation logic capability abstraction.
    Type: Application
    Filed: November 15, 2019
    Publication date: October 22, 2020
    Applicant: Intel Corporation
    Inventors: Shao-Wen Yang, Yen-Kuang Chen
  • Patent number: 10810485
    Abstract: A convolutional neural network for classifying time series data uses a dynamic context selection. In one example a method includes receiving a plurality of inputs of different sizes at a convolutional neural network, applying convolution and pooling to each of the inputs to provide a plurality of outputs of different sizes, changing the size of each of the outputs to a selected uniform size, reshaping each of the outputs to a vector, and fully connecting the vectors.
    Type: Grant
    Filed: September 13, 2016
    Date of Patent: October 20, 2020
    Assignee: Intel Corporation
    Inventors: Freddie H. Huang, Omar U. Florez, Jonathan J. Huang, Yen-Kuang Chen
  • Publication number: 20200322238
    Abstract: Example task assignment methods disclosed herein for video analytics processing in a cloud computing environment include determining a graph, such as a directed acyclic graph, including nodes and edges to represent a plurality of video sources, a cloud computing platform, and a plurality of intermediate network devices in the cloud computing environment. Disclosed example task assignment methods also include specifying task orderings for respective sequences of video analytics processing tasks to be executed in the cloud computing environment on respective video source data generated by respective ones of the video sources.
    Type: Application
    Filed: January 7, 2020
    Publication date: October 8, 2020
    Inventors: Hong-Min Chu, Shao-Wen Yang, Yen-Kuang Chen
  • Patent number: 10797863
    Abstract: In one embodiment, an apparatus comprises a communication interface and a processor. The communication interface is to communicate with a plurality of devices. The processor is to: receive compressed data from a first device, wherein the compressed data is associated with visual data captured by sensor(s); perform a current stage of processing on the compressed data using a current CNN, wherein the current stage of processing corresponds to one of a plurality of processing stages associated with the visual data, and wherein the current CNN corresponds to one of a plurality of CNNs associated with the plurality of processing stages; obtain an output associated with the current stage of processing; determine, based on the output, whether processing associated with the visual data is complete; if the processing is complete, output a result associated with the visual data; if the processing is incomplete, transmit the compressed data to a second device.
    Type: Grant
    Filed: June 29, 2018
    Date of Patent: October 6, 2020
    Assignee: Intel Corporation
    Inventors: Yen-Kuang Chen, Shao-Wen Yang, Ibrahima J. Ndiour, Yiting Liao, Vallabhajosyula S. Somayazulu, Omesh Tickoo, Srenivas Varadarajan
  • Patent number: 10778412
    Abstract: In one embodiment, an apparatus comprises a memory and a processor. The memory is to store visual data associated with a visual representation captured by one or more sensors. The processor is to: obtain the visual data associated with the visual representation captured by the one or more sensors, wherein the visual data comprises uncompressed visual data or compressed visual data; process the visual data using a convolutional neural network (CNN), wherein the CNN comprises a plurality of layers, wherein the plurality of layers comprises a plurality of filters, and wherein the plurality of filters comprises one or more pixel-domain filters to perform processing associated with uncompressed data and one or more compressed-domain filters to perform processing associated with compressed data; and classify the visual data based on an output of the CNN.
    Type: Grant
    Filed: June 29, 2018
    Date of Patent: September 15, 2020
    Assignee: Intel Corporation
    Inventors: Yen-Kuang Chen, Shao-Wen Yang, Ibrahima J. Ndiour, Yiting Liao, Vallabhajosyula S. Somayazulu, Omesh Tickoo, Srenivas Varadarajan
  • Patent number: 10742399
    Abstract: In one embodiment, an apparatus comprises a storage device and a processor. The storage device may store a plurality of compressed images comprising one or more compressed master images and one or more compressed slave images.
    Type: Grant
    Filed: June 29, 2018
    Date of Patent: August 11, 2020
    Assignee: Intel Corporation
    Inventors: Yen-Kuang Chen, Shao-Wen Yang, Ibrahima J. Ndiour, Yiting Liao, Vallabhajosyula S. Somayazulu, Omesh Tickoo, Srenivas Varadarajan
  • Publication number: 20200250003
    Abstract: In one embodiment, an apparatus comprises a processor to: identify a workload comprising a plurality of tasks; generate a workload graph based on the workload, wherein the workload graph comprises information associated with the plurality of tasks; identify a device connectivity graph, wherein the device connectivity graph comprises device connectivity information associated with a plurality of processing devices; identify a privacy policy associated with the workload; identify privacy level information associated with the plurality of processing devices; identify a privacy constraint based on the privacy policy and the privacy level information; and determine a workload schedule, wherein the workload schedule comprises a mapping of the workload onto the plurality of processing devices, and wherein the workload schedule is determined based on the privacy constraint, the workload graph, and the device connectivity graph.
    Type: Application
    Filed: June 29, 2018
    Publication date: August 6, 2020
    Applicant: Intel Corporation
    Inventors: Shao-Wen Yang, Yen-Kuang Chen, Ragaad Mohammed Irsehid Altarawneh, Juan Pablo Munoz Chiabrando, Siew Wen Chin, Kushal Datta, Subramanya R. Dulloor, Julio C. Zamora Esquivel, Omar Ulises Florez Choque, Vishakha Gupta, Scott D. Hahn, Rameshkumar Illikkal, Nilesh Kumar Jain, Siti Khairuni Amalina Kamarol, Anil S. Keshavamurthy, Heng Kar Lau, Jonathan A. Lefman, Yiting Liao, Michael G. Millsap, Ibrahima J. Ndiour, Luis Carlos Maria Remis, Addicam V. Sanjay, Usman Sarwar, Eve M. Schooler, Ned M. Smith, Vallabhajosyula S. Somayazulu, Christina R. Strong, Omesh Tickoo, Srenivas Varadarajan, Jesús A. Cruz Vargas, Hassnaa Moustafa, Arun Raghunath, Katalin Klara Bartfai-Walcott, Maruti Gupta Hyde, Deepak S. Vembar, Jessica McCarthy
  • Patent number: 10713026
    Abstract: Systems, apparatuses and methods may receive, at a local Internet of Things (IOT) device, a request to deploy an IOT application. Additionally, the IOT application may be partitioned into a plurality of atomic nodes, wherein configuration information for the plurality of atomic nodes may be sent, at runtime, to a plurality of remote IOT devices having abstracted resources that support operation of the first plurality of atomic nodes. In one example, the configuration information is sent via a device independent message protocol having a universal namespace.
    Type: Grant
    Filed: September 25, 2015
    Date of Patent: July 14, 2020
    Assignee: Intel Corporation
    Inventors: Shao-Wen Yang, Yen-Kuang Chen
  • Patent number: 10637678
    Abstract: A mechanism is described for facilitating portable, reusable, and shareable Internet of Things-based services and resources according to one embodiment. A method of embodiments, as described herein, includes wherein receiving a recipe request for selecting a recipe relating to Internet of Things (IoT) services, where selecting includes at least one of searching the recipe and modifying the recipe. The method may further include selecting the recipe, where the recipe includes a set of resource requirements and business logic. The method may further include modifying the set of resource requirements, where the modified set of resource requirements is associated with the business logic to modify the recipe, and deploying the modified recipe at one or more computing devices, where the modified recipe to facilitate management for one or more IoT devices at one or more locations.
    Type: Grant
    Filed: September 24, 2015
    Date of Patent: April 28, 2020
    Assignee: Intel Corporation
    Inventors: Shao-Wen Yang, Nyuk Kin Koo, Yen-Kuang Chen
  • Patent number: 10626499
    Abstract: A deposition device structure is provided. The deposition device structure includes a heater in a chamber. The deposition device structure also includes a shower head over the heater. The shower head includes holes extending from a top surface of the shower head to a bottom surface of the shower head. The bottom surface of the shower head faces the heater. The bottom surface of the shower head has a first section and a second section. The second section of the bottom surface is rougher than the first section of the bottom surface.
    Type: Grant
    Filed: October 5, 2017
    Date of Patent: April 21, 2020
    Assignee: TAIWAN SEMICONDUCTOR MANUFACTURING CO., LTD.
    Inventors: Yen-Chan Lo, Huan-Chieh Chen, Yi-Fang Lai, Keith Kuang-Kuo Koai, Chin-Feng Sun, Po-Hsiung Leu, Ding-I Liu, Kai-Shiung Hsu
  • Publication number: 20200107427
    Abstract: A droplet generator assembly includes a storage tank, a refill system, a droplet generator, and a temperature control system. The storage tank is configured to store a target material. The refill system is connected to the storage tank. The droplet generator includes a reservoir and a nozzle connected to the reservoir, in which the droplet generator is connected to the refill system, and the refill system is configured to deliver the target material to the reservoir. The temperature control system is adjacent to the refill system or the reservoir.
    Type: Application
    Filed: July 11, 2019
    Publication date: April 2, 2020
    Applicant: TAIWAN SEMICONDUCTOR MANUFACTURING CO., LTD.
    Inventors: Shih-Yu TU, Yu-Kuang SUN, Shao-Hua WANG, Han-Lung CHANG, Hsiao-Lun CHANG, Li-Jui CHEN, Po-Chung CHENG, Cheng-Hao LAI, Hsin-Feng CHEN, Wei-Shin CHENG, Ming-Hsun TSAI, Yen-Hsun CHEN
  • Patent number: 10607484
    Abstract: This disclosure presents embodiments for performing privacy-preserving distributed computing. For example, a workload that includes a plurality of tasks may be identified, and a workload graph may be generated to represent the workload. In addition, a device connectivity graph with connectivity information for a plurality of processing devices may be identified. A privacy policy associated with the workload, along with privacy level information associated with the plurality of processing devices, may also be identified. A privacy constraint may then be identified based on the privacy policy and the privacy level information. A workload schedule that includes a mapping of the workload onto the plurality of processing devices may be determined based on the privacy constraint, the workload graph, and the device connectivity graph. The workload schedule may be sent to the plurality of processing devices, which may execute the workload based on the workload schedule.
    Type: Grant
    Filed: December 29, 2017
    Date of Patent: March 31, 2020
    Assignee: Intel Corporation
    Inventors: Shao-Wen Yang, Yen-Kuang Chen, Addicam V. Sanjay
  • Publication number: 20200065123
    Abstract: A simulation is defined to include a particular test environment and one or more device models, where each device model simulates a respective device, the test environment simulates a physical environment, and the one or more device models are populated in the IoT testing environment to model a deployment of devices corresponding to the device models in the physical environment. Modeled device data is generated, based on the one or more device models, to simulate data generated by corresponding devices. The modeled device data is transmitted to an application, and application data is received in response from the application and used in the simulation.
    Type: Application
    Filed: January 4, 2017
    Publication date: February 27, 2020
    Applicant: Intel Corporation
    Inventors: Shao-Wen Yang, Nyuk Kin Koo, Yen-Kuang Chen