Patents by Inventor Chao-Lieh Chen

Chao-Lieh 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).

  • Publication number: 20180285504
    Abstract: A behavioral simulation system includes a behavioral simulation software provided in a first simulation platform, a temperature-sensing circuit mathematic module suitable for the behavioral simulation software and an advanced simulation software or real measurement data provided in a second simulation platform. The temperature-sensing circuit mathematic module includes a plurality of component mathematic modules. At least one of the component mathematic modules is selectively designated for preliminary simulation. The advanced simulation software or the real measurement data is applied to calculate the at least one of designated component mathematic module to obtain a designated component temperature module which is combined with the temperature-sensing circuit mathematic module for calculating behavioral simulation in the behavioral simulation software for rapidly supplying a preliminary simulation data or digital output.
    Type: Application
    Filed: March 31, 2017
    Publication date: October 4, 2018
    Inventors: Chun-Chi Chen, Chao-Lieh Chen, You-Ting Lin
  • Patent number: 8897488
    Abstract: A body gesture control system for operating electrical and electronic devices includes an image sensor device and an image processor device to process body gesture images captured by the image sensor device for recognizing the body gesture. The image processor device includes an image calculation unit and a gesture change detection unit electrically connected therewith. The image calculation unit is used to calculate gesture regions of the captured body gesture images and the gesture change detection unit is operated to detect changes of the captured body gesture images and to thereby determine a body gesture recognition signal.
    Type: Grant
    Filed: January 11, 2011
    Date of Patent: November 25, 2014
    Assignee: National Kaohsiung First University of Science and Technology
    Inventors: Chao-Lieh Chen, Chueh-Han Lo, Chin-Wei Ho
  • Publication number: 20110170745
    Abstract: A body gesture control system for operating electrical and electronic devices includes an image sensor device and an image processor device to process body gesture images captured by the image sensor device for recognizing the body gesture. The image processor device includes an image calculation unit and a gesture change detection unit electrically connected therewith. The image calculation unit is used to calculate gesture regions of the captured body gesture images and the gesture change detection unit is operated to detect changes of the captured body gesture images and to thereby determine a body gesture recognition signal.
    Type: Application
    Filed: January 11, 2011
    Publication date: July 14, 2011
    Inventors: Chao-Lieh Chen, Chueh-Han Lo, Chin-Wei Ho
  • Patent number: 7463771
    Abstract: A method for retrieving original intact characteristics of images heavily polluted by Gaussian impulse noises is based on the fuzzy automata theory retrieves the characteristics of images heavily corrupted by Gaussian impulse noises. The retrieved characteristics are represented with fuzzy sets, each of which is also called a fuzzy partition of the image histogram. The membership functions are used for noise filtering, multi-level thresholding, segmentation, and edge detection. This invention further utilizes the result images of filtering and thresholding to perform the second phase processing. After two-phase filtering, the signal-to-noise ratio SNR and the peak signal to noise ratio PSNR are increased up to 10 db for images polluted by noises higher than 50%. Having very low complexity of processing time and memory space, the kernel operation of the algorithm can be implemented with super-scalar super-pipelined 16-bit floating-point processing unit and achieve 24-bit true color results.
    Type: Grant
    Filed: September 8, 2005
    Date of Patent: December 9, 2008
    Assignee: Kun Shan University
    Inventors: Chao-Lieh Chen, Chi-Chieh Chuang, Chun-Cheng Yang
  • Publication number: 20070053588
    Abstract: A method for retrieving original intact characteristics of images heavily polluted by Gaussian impulse noises is based on the fuzzy automata theory retrieves the characteristics of images heavily corrupted by Gaussian impulse noises. The retrieved characteristics are represented with fuzzy sets, each of which is also called a fuzzy partition of the image histogram. The membership functions are used for noise filtering, multi-level thresholding, segmentation, and edge detection. This invention further utilizes the result images of filtering and thresholding to perform the second phase processing. After two-phase filtering, the signal-to-noise ratio SNR and the peak signal to noise ratio PSNR are increased up to 10 db for images polluted by noises higher than 50%. Having very low complexity of processing time and memory space, the kernel operation of the algorithm can be implemented with super-scalar super-pipelined 16-bit floating-point processing unit and achieve 24-bit true color results.
    Type: Application
    Filed: September 8, 2005
    Publication date: March 8, 2007
    Inventors: Chao-Lieh Chen, Chi-Chieh Chuang, Chun-Cheng Yang
  • Patent number: 6535860
    Abstract: This invention proposes a novel nonlinear filter called adaptive weighted fuzzy mean (AWFM) filter which is capable of removing high density Gaussian impulse noises in polluted images. Via a single epoch, weights of the filter are departed according to a set of fuzzy rules, which are constructed by a proposed procedure. All the fuzzy rules in the knowledge base infer concurrently for input nature estimation and filter adaptation. Statistic analyses ensure that this AWFM filtering possesses robust and consistent performance even when images are thoroughly polluted. The AWFM filter is synthesized with generic LR fuzzy cells which adopts CMOS analog current mode technology to subject high speed, low power, and small circuit area objectives. Simulations show that parallel inferences realized by the generic LR fuzzy cells, each of which performs 20 M FLIPS (fuzzy logic inferences per second) promise that the synthesized AWFM filter is able to process up to 50 256×256 images per second.
    Type: Grant
    Filed: August 2, 1999
    Date of Patent: March 18, 2003
    Assignee: National Science Council
    Inventors: Yau-Hwang Kuo, Chao-Lieh Chen, Chang-Shing Lee