Patents by Inventor Tian Tang

Tian Tang 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: 9957237
    Abstract: Provided is a composition of N-[4-[(3-chloro-4-fluorophenyl)amino]-7-[3-(ethoxy)-6-quinazolinyl]-4-(dimethylamino)-2-butenamide p-toluene sulfonate 1.5 hydrate ?-polymorph. The ?-polymorph has a stable form, a defined melting point, a good chemical stability, and a good endurance to high temperature and light irradiation, and is suitable for pharmaceutical use.
    Type: Grant
    Filed: December 22, 2015
    Date of Patent: May 1, 2018
    Assignee: SHENZHEN NEPTUNUS PHARMACEUTICAL RESEARCH INSTITUTE CO., LTD.
    Inventors: Tian Tang, Feng Jin, Yanqing Wang, Jing Wu, Xiarou Liu, Jing'an Yang, Hanlin Feng, Lin Yu
  • Publication number: 20170342037
    Abstract: Provided is a composition of N-[4-[(3-chloro-4-fluorophenyl)amino]-7-[3-(ethoxy)-6-quinazolinyl]-4-(dimethylamino)-2-butenamide p-toluene sulfonate 1.5 hydrate ?-polymorph. The ?-polymorph has a stable form, a defined melting point, a good chemical stability, and a good endurance to high temperature and light irradiation, and is suitable for pharmaceutical use.
    Type: Application
    Filed: December 22, 2015
    Publication date: November 30, 2017
    Inventors: Tian TANG, Feng JIN, Yanqing WANG, Jing WU, Xiarou LIU, Jing'an YANG, Hanlin FENG, Lin YU
  • Patent number: 9418484
    Abstract: A learning system with augmented reality is provided. The learning system includes a cloud server recording an operation history of a learner and providing feedback messages, and a mobile device having an image-capturing module capturing an image of a substantial object. Also, the learning system comprises an object database storing a simulated object corresponding to the substantial object, an identification module identifying the image and generating image information, and a processing module which receives and analyzes the image information, obtains the simulated object from the object database according to analyzing results, and displays the simulated object on a display interface of the mobile device. The learning system allows learner to operate simulated object operation instructions on the display interface or directly operate the substantial object to control a display status of the simulated object, and the operation history of learner is transmitted to the cloud server.
    Type: Grant
    Filed: July 24, 2014
    Date of Patent: August 16, 2016
    Assignee: National Taiwan Normal University
    Inventors: Mei-Hung Chiu, Wei-Tian Tang, Chin-Cheng Chou
  • Patent number: 9172527
    Abstract: A signal processing method and apparatus. According to the signal processing method, phase change processing can be performed on to-be-sent data signals according to a phase status of a data synchronization signal and phase statuses of the to-be-sent data signals, so that phase differences between a majority of to-be-sent data signals in the processed to-be-sent data signals and the data synchronization signal meet a certain condition, thereby reducing a volume of coupling crosstalk, generated by the to-be-sent data signals, on the data synchronization signal and further reducing impact of simultaneously switching noise (SSN) on a system.
    Type: Grant
    Filed: December 5, 2014
    Date of Patent: October 27, 2015
    Assignee: Huawei Technologies Co., Ltd
    Inventors: Tian Tang, Shenghua Niu, Lebin Tang
  • Publication number: 20150172041
    Abstract: A signal processing method and apparatus. According to the signal processing method, phase change processing can be performed on to-be-sent data signals according to a phase status of a data synchronization signal and phase statuses of the to-be-sent data signals, so that phase differences between a majority of to-be-sent data signals in the processed to-be-sent data signals and the data synchronization signal meet a certain condition, thereby reducing a volume of coupling crosstalk, generated by the to-be-sent data signals, on the data synchronization signal and further reducing impact of simultaneously switching noise (SSN) on a system.
    Type: Application
    Filed: December 5, 2014
    Publication date: June 18, 2015
    Inventors: Tian Tang, Shenghua Niu, Lebin Tang
  • Publication number: 20150029183
    Abstract: A learning system with augmented reality is provided. The learning system includes a cloud server recording an operation history of a learner and providing feedback messages, and a mobile device having an image-capturing module capturing an image of a substantial object. Also, the learning system comprises an object database storing a simulated object corresponding to the substantial object, an identification module identifying the image and generating image information, and a processing module which receives and analyzes the image information, obtains the simulated object from the object database according to analyzing results, and displays the simulated object on a display interface of the mobile device. The learning system allows learner to operate simulated object operation instructions on the display interface or directly operate the substantial object to control a display status of the simulated object, and the operation history of learner is transmitted to the cloud server.
    Type: Application
    Filed: July 24, 2014
    Publication date: January 29, 2015
    Inventors: Mei-Hung Chiu, Wei-Tian Tang, Chin-Cheng Chou
  • Patent number: D742828
    Type: Grant
    Filed: June 5, 2014
    Date of Patent: November 10, 2015
    Assignee: Kunshan Micro Capacitors Electronics CO., LTD
    Inventors: Dexing Zhao, Jiayin Dong, Guangtao Zhao, Tian Tang, Jiang Shen, Guangman Zhao
  • Patent number: D769229
    Type: Grant
    Filed: March 13, 2015
    Date of Patent: October 18, 2016
    Assignees: CHENGDU M&S SCIENCE AND TECHNOLOGY CO., LTD., CHENGDU GLOBAL-WAY COMMUNICATION TECHNOLOGY CO., LTD.
    Inventors: Yun Gao, Tian Tang, Chunmei Xin