Patents by Inventor Yaw Chang

Yaw Chang 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: 20170301481
    Abstract: The invention provides a quantum dots-sensitized solar cell and a method of enhancing the optoelectronic performance of a quantum dots-sensitized solar cell using a co-adsorbent, in which a bifunctional molecule is used as the co-adsorbent and is mixed with aqueous quantum dots to form a quantum dots sensitizer, thereby improving the photoelectric conversion efficiency of the solar cell.
    Type: Application
    Filed: February 14, 2017
    Publication date: October 19, 2017
    Applicant: National Taiwan University of Science and Technology
    Inventors: Jia-Yaw CHANG, Chen-Hei LI, Ya-Han CHIANG
  • Patent number: 9317740
    Abstract: A set of training vectors may be identified. Each training vector may be mapped to either a male gender or a female gender, and each training vector may represent facial landmarks derived from a respective facial image. An input vector of facial landmarks may also be identified. The facial landmarks of the input vector may be derived from a particular facial image. A feature vector may containing a subset of the facial landmarks may be selected from the input vector. A weighted comparison may be performed between the feature vector and each of the training vectors. Based on a result of the weighted comparison, the particular facial image may be classified as either the male gender or the female gender.
    Type: Grant
    Filed: December 4, 2014
    Date of Patent: April 19, 2016
    Assignee: University of North Carolina at Wilmington
    Inventors: Karl Ricanek, Jr., Yishi Wang, Yaw Chang, Cuixian Chen
  • Publication number: 20150086087
    Abstract: A set of training vectors may be identified. Each training vector may be mapped to either a male gender or a female gender, and each training vector may represent facial landmarks derived from a respective facial image. An input vector of facial landmarks may also be identified. The facial landmarks of the input vector may be derived from a particular facial image. A feature vector may containing a subset of the facial landmarks may be selected from the input vector. A weighted comparison may be performed between the feature vector and each of the training vectors. Based on a result of the weighted comparison, the particular facial image may be classified as either the male gender or the female gender.
    Type: Application
    Filed: December 4, 2014
    Publication date: March 26, 2015
    Inventors: Karl Ricanek, JR., Yishi Wang, Yaw Chang, Cuixian Chen
  • Patent number: 8913839
    Abstract: A set of training vectors may be identified. Each training vector may be mapped to either a male gender or a female gender, and each training vector may represent facial landmarks derived from a respective facial image. An input vector of facial landmarks may also be identified. The facial landmarks of the input vector may be derived from a particular facial image. A feature vector may containing a subset of the facial landmarks may be selected from the input vector. A weighted comparison may be performed between the feature vector and each of the training vectors. Based on a result of the weighted comparison, the particular facial image may be classified as either the male gender or the female gender.
    Type: Grant
    Filed: September 26, 2012
    Date of Patent: December 16, 2014
    Assignee: University of North Carolina at Wilmington
    Inventors: Karl Ricanek, Jr., Yishi Wang, Yaw Chang, Cuixian Chen
  • Publication number: 20130223694
    Abstract: A set of training vectors may be identified. Each training vector may be mapped to either a male gender or a female gender, and each training vector may represent facial landmarks derived from a respective facial image. An input vector of facial landmarks may also be identified. The facial landmarks of the input vector may be derived from a particular facial image. A feature vector may containing a subset of the facial landmarks may be selected from the input vector. A weighted comparison may be performed between the feature vector and each of the training vectors. Based on a result of the weighted comparison, the particular facial image may be classified as either the male gender or the female gender.
    Type: Application
    Filed: September 26, 2012
    Publication date: August 29, 2013
    Inventors: Karl Ricanek, JR., Yishi Wang, Yaw Chang, Cuixian Chen
  • Publication number: 20060164374
    Abstract: A source driver for LCD devices, used for driving at least one data line, comprises an input for receiving a predetermined voltage; an output electrically being connected to the data line and having an output voltage; a voltage clamping circuit for clamping the output voltage within a predetermined voltage range; a first differential amplifier for increasing the clamped output voltage toward the predetermined voltage; and a second differential amplifier for decreasing the clamped output voltage toward the predetermined voltage. The present invention also provides a source driving method for LCD devices.
    Type: Application
    Filed: March 18, 2005
    Publication date: July 27, 2006
    Inventors: Yaw Chang, Ming Chiu