Patents by Inventor Shuping Liu

Shuping Liu 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: 10726056
    Abstract: In one respect, there is provided a method that includes converting, into text, audio that includes a speech-based query. A first portion, a second portion, and a third portion of the text can be identified based on a semantic rule. The first portion of the text can be an operation specified by the speech-based query. The second portion of the text can be an object specified by the speech-based query. The third portion of the text can be a parameter specified by the speech-based query. A database query can be formed to include the operation being performed with respect to the object and in accordance with the parameter. Furthermore, the database query can be executed at a database. Related systems and articles of manufacture, including computer program products, are also disclosed.
    Type: Grant
    Filed: April 10, 2017
    Date of Patent: July 28, 2020
    Assignee: SAP SE
    Inventor: Shuping Liu
  • Publication number: 20180293300
    Abstract: In one respect, there is provided a method that includes converting, into text, audio that includes a speech-based query. A first portion, a second portion, and a third portion of the text can be identified based on a semantic rule. The first portion of the text can be an operation specified by the speech-based query. The second portion of the text can be an object specified by the speech-based query. The third portion of the text can be a parameter specified by the speech-based query. A database query can be formed to include the operation being performed with respect to the object and in accordance with the parameter. Furthermore, the database query can be executed at a database. Related systems and articles of manufacture, including computer program products, are also disclosed.
    Type: Application
    Filed: April 10, 2017
    Publication date: October 11, 2018
    Inventor: Shuping Liu
  • Patent number: 10006102
    Abstract: The present invention discloses a monazite and apatite paragenetic ore enrichment method. High-grade and high-recovery-rate monazite concentrate can be obtained by adopting the method through steps of ore grinding, floatation, magnetic separation and low-acid advanced leaching treatment and re-floatation. In this process, the applicable range of ore pulp temperature is wide, the process flow is short, the ore dressing conditions are mild, the energy consumption is small, the used diluted acid can be cyclically regenerated and used, the pollution is small, the environmental stress is small and the recovery rate of low-grade monazite and apatite paragenetic ores can be obviously improved.
    Type: Grant
    Filed: January 8, 2015
    Date of Patent: June 26, 2018
    Assignee: INSTITUTE OF MULTIPURPOSE UTILIZATION OF MINERAL RESOURCES
    Inventors: Wenliang Xiong, Yaohui Yang, Shuping Liu, Chengqing Ji, Xiaobo Zeng, Jie Deng, Xiangwen Liao, Bingyan Chen, Shanzhi Deng
  • Publication number: 20160376683
    Abstract: The present invention discloses a monazite and apatite paragenetic ore enrichment method. High-grade and high-recovery-rate monazite concentrate can be obtained by adopting the method through steps of ore grinding, floatation, magnetic separation and low-acid advanced leaching treatment and re-floatation. In this process, the applicable range of ore pulp temperature is wide, the process flow is short, the ore dressing conditions are mild, the energy consumption is small, the used diluted acid can be cyclically regenerated and used, the pollution is small, the environmental stress is small and the recovery rate of low-grade monazite and apatite paragenetic ores can be obviously improved.
    Type: Application
    Filed: January 8, 2015
    Publication date: December 29, 2016
    Inventors: WENLIANG XIONG, YAOHUI YANG, SHUPING LIU, CHENGQING JI, XIAOBO ZENG, JIE DENG, XIANGWEN LIAO, BINGYAN CHEN, SHANZHI DENG
  • Publication number: 20160369341
    Abstract: The present invention relates to a rs6311 test kit, which includes a probe, a primer, and a polymerase chain reaction solution, wherein said probe sequence is as follows: rs6311T-fam: CTGTGAGTGTCTGGC (SEQ. ID. NO. 1) and rs6311C-vic: CTGTGAGTGTCCGGC (SEQ. ID. NO. 2); and said primer sequence is as follows: rs6311-F: AGAGAGAACATAAATAAGGCTAGAAAACAGTA (SEQ. ID. NO. 3) and rs6311-R: CACTGTTGGCTTTGGATGGA (SEQ. ID. NO. 4). The test kit is used to determine genotype of a depression patient, in order to treat the depression patient with a combination of serotonin reuptake inhibitors (SSRI) and low dose risperidone. The actual dose of risperidone and the ratio between SSRIs and risperidone is determined by the genotype of the depression patient. The present invention determines human drug metabolism rate through a single nucleotide polymorphism and provides a platform to adjust the patient's treatment.
    Type: Application
    Filed: December 16, 2015
    Publication date: December 22, 2016
    Inventors: Wen E, Qingmei Kong, Xiaojing Zhang, Hong Shao, Zhenguo Zhao, Shuping Liu, Maomao Li, Xinxia Tian
  • Patent number: 9280517
    Abstract: A computer-implemented artificial lift detection system, method, and software are provided for failure detection for artificial lift systems, such as sucker rod pump systems. The method includes providing artificial lift system data from an artificial lift system. Attributes are extracted from the artificial lift system data. Data mining techniques are applied to the attributes to determine whether the artificial lift system is detected to fail within a given time period. An alert is output indicative of impending artificial lift system failures.
    Type: Grant
    Filed: June 22, 2012
    Date of Patent: March 8, 2016
    Assignee: UNIVERSITY OF SOUTHERN CALIFORNIA
    Inventors: Shuping Liu, Cauligi Srinivasa Raghavendra, Yintao Liu, Ke-Thia Yao, Oluwafemi Opeyemi Balogun, Olanrewaju Olabinjo, Dinesh Babu Chinnapparaja Gunasekaran
  • Patent number: 8988236
    Abstract: A computer-implemented reservoir prediction system, method, and software are provided for failure prediction for artificial lift well systems, such as sucker rod pump systems. The method includes providing well data from a production well. Attributes are extracted from the well data. Data mining is applied to the attributes to determine whether the production well is predicted to fail within a given time period. An alert is output indicative of impending production well failures.
    Type: Grant
    Filed: May 27, 2011
    Date of Patent: March 24, 2015
    Assignee: University of Southern California
    Inventors: Yintao Liu, Ke-Thia Yao, Shuping Liu, Cauligi Srinivasa Raghavendra, Lanre Olabinjo, Fatma Burcu Seren, Sanaz Seddighrad, Dinesh Babu Chinnapparaja Gunasekaran
  • Patent number: 8988237
    Abstract: A computer-implemented reservoir prediction system, method, and software are provided for failure prediction for artificial lift systems, such as sucker rod pump systems. The method includes a production well associated with an artificial lift system and data indicative of an operational status of the artificial lift system. One or more features are extracted from the artificial lift system data. Data mining is applied to the one or more features to determine whether the artificial lift system is predicted to fail within a given time period. An alert is output indicative of impending artificial lift system failures.
    Type: Grant
    Filed: December 20, 2011
    Date of Patent: March 24, 2015
    Assignee: University of Southern California
    Inventors: Yintao Liu, Ke-Thia Yao, Shuping Liu, Cauligi Srinivasa Raghavendra, Oluwafemi Opeyemi Balogun, Lanre Olabinjo
  • Publication number: 20140162261
    Abstract: The present invention relates to a rs6311 test kit, which includes a probe, a primer, and a polymerase chain reaction solution, wherein said probe sequence is as follows: rs6311T-fam: CTGTGAGTGTCTGGC (SEQ. ID. NO. 1) and rs6311C-vic: CTGTGAGTGTCCGGC (SEQ. ID. NO. 2); and said primer sequence is as follows: rs6311-F: AGAGAGAACATAAATAAGGCTAGAAAACAGTA (SEQ. ID. NO. 3) and rs6311-R: CACTGTTGGCTTTGGATGGA (SEQ. ID. NO. 4). The test kit is used to determine genotype of a depression patient, in order to treat the depression patient with a combination of serotonin reuptake inhibitors (SSRI) and low dose risperidone. The actual dose of risperidone and the ratio between SSRIs and risperidone is determined by the genotype of the depression patient. The present invention determines human drug metabolism rate through a single nucleotide polymorphism and provides a platform to adjust the patient's treatment.
    Type: Application
    Filed: November 27, 2013
    Publication date: June 12, 2014
    Inventors: Wen E., Qingmei Kong, Xiaojing Zhang, Hong Shao, Zhenguo Zhao, Shuping Liu, Maomao Li, Xinxia Tian
  • Publication number: 20130080117
    Abstract: A computer-implemented artificial lift detection system, method, and software are provided for failure detection for artificial lift systems, such as sucker rod pump systems. The method includes providing artificial lift system data from an artificial lift system. Attributes are extracted from the artificial lift system data. Data mining techniques are applied to the attributes to determine whether the artificial lift system is detected to fail within a given time period. An alert is output indicative of impending artificial lift system failures.
    Type: Application
    Filed: June 22, 2012
    Publication date: March 28, 2013
    Applicant: UNIVERSITY OF SOUTHERN CALIFORNIA
    Inventors: Shuping LIU, Cauligi Srinivasa RAGHAVENDRA, Yintao LIU, Ke-Thia YAO, Oluwafemi Opeyemi BALOGUN, Olanrewaju OLABINJO, Dinesh Babu CHINNAPPARAJA GUNASEKARAN
  • Publication number: 20120191633
    Abstract: A computer-implemented reservoir prediction system, method, and software are provided for failure prediction for artificial lift systems, such as sucker rod pump systems. The method includes a production well associated with an artificial lift system and data indicative of an operational status of the artificial lift system. One or more features are extracted from the artificial lift system data. Data mining is applied to the one or more features to determine whether the artificial lift system is predicted to fail within a given time period. An alert is output indicative of impending artificial lift system failures.
    Type: Application
    Filed: December 20, 2011
    Publication date: July 26, 2012
    Applicant: University of Southern California
    Inventors: Yintao Liu, Ke-Thia Yao, Shuping Liu, Cauligi Srinivasa Raghavendra, Oluwafemi Opeyemi Balogun, Lanre Olabinjo
  • Publication number: 20120025997
    Abstract: A computer-implemented reservoir prediction system, method, and software are provided for failure prediction for artificial lift well systems, such as sucker rod pump systems. The method includes providing well data from a production well. Attributes are extracted from the well data. Data mining is applied to the attributes to determine whether the production well is predicted to fail within a given time period. An alert is output indicative of impending production well failures.
    Type: Application
    Filed: May 27, 2011
    Publication date: February 2, 2012
    Applicant: University of Southern California
    Inventors: Yintao Liu, Ke-Thia Yao, Shuping Liu, Cauligi Srinivasa Raghavendra, Lanre Olabinjo, Fatma Burcu Seren, Sanaz Seddighrad, Dinesh Babu Chinnapparaja Gunasekaran