Patents by Inventor Yu Jia Tang
Yu Jia 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).
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Patent number: 11092582Abstract: Techniques for generating dynamic dust emission risk index values via construction and use of a dynamic dust emission risk index model are provided. In one example, a computer-implemented method comprises generating, by a system operatively coupled to a processor, a dynamic dust emission risk index value based on a dynamic dust emission risk index model. The computer implemented method also includes supplying, by the system, the dynamic dust emission risk index value to an air quality model. Additionally, the computer implemented method further comprises generating, by the system, a dust emission forecast based on the air quality model.Type: GrantFiled: November 28, 2016Date of Patent: August 17, 2021Assignee: INTERNATIONAL BUSINESS MACHINES CORPORATIONInventors: Hui Du, Yu Du, Si Huang, Yu Jia Tang, Bao Guo Xie, Meng Zhang, Xin Zhang, Shuai Zhu
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Patent number: 10976471Abstract: Post-processing corrections can be applied to operational numerical model forecasts of weather variables to reduce forecast model errors. The post-processing technique is based on an analog post-processing correction scheme. In the analog scheme, the system searches for previous model forecasts that are similar to the current forecast, and modifies the current forecast based on errors in such previous predictions. An “abnormal (or abnormal) index” can be generated for each analog as a function of several meteorology variables (i.e., humidity, pressure and temperature) and two experience coefficients. The abnormal index can be used to exclude some errors. Furthermore, dynamic weights based on the “abnormal index” can be applied to the errors. Using the “abnormal index” weights in a post-processing technique may generate a more accurate air quality forecast.Type: GrantFiled: March 7, 2017Date of Patent: April 13, 2021Assignee: International Business Machines CorporationInventors: Hui Du, Yu Du, Si Huang, Yu Jia Tang, Bao Guo Xie, Meng Zhang, Xin Zhang, Shuai Zhu
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Patent number: 10969520Abstract: Post-processing corrections can be applied to operational numerical model forecasts of weather variables to reduce forecast model errors. The post-processing technique is based on an analog post-processing correction scheme. In the analog scheme, the system searches for previous model forecasts that are similar to the current forecast, and modifies the current forecast based on errors in such previous predictions. An “abnormal (or abnormal) index” can be generated for each analog as a function of several meteorology variables (i.e., humidity, pressure and temperature) and two experience coefficients. The abnormal index can be used to exclude some errors. Furthermore, dynamic weights based on the “abnormal index” can be applied to the errors. Using the “abnormal index” weights in a post-processing technique may generate a more accurate air quality forecast.Type: GrantFiled: November 8, 2017Date of Patent: April 6, 2021Assignee: International Business Machines CorporationInventors: Hui Du, Yu Du, Si Huang, Yu Jia Tang, Bao Guo Xie, Meng Zhang, Xin Zhang, Shuai Zhu
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Patent number: 10685296Abstract: A method for establishing and using a pollutant emission scavenging forecasting (PESF) model to calculate a purgeable pollutant emission to dynamically control an emitted pollutant at any target concentration. The dynamic control considers the initial pollutant concentration and pollutant scavenging ability of atmosphere. The method further takes into account the constraint conditions specified by a user, and employs a dynamic emission correction system to quickly calculate an optimal pollutant emission scheme. If the emission is lower than minimum acceptable value for a current time instance (a moment), the method corrects the emission intensity before (prior to) this moment by changing the initial concentration at this time. This initial concentration is the final pollutant concentration of a prior moment. Since the method makes full use of the atmospheric pollutants scavenging ability, the dynamic emission control scheme can provide the most effective and lowest economic losses solution.Type: GrantFiled: November 9, 2017Date of Patent: June 16, 2020Assignee: International Business Machines CorporationInventors: Hui Du, Yu Du, Si Huang, Yu Jia Tang, Bao Guo Xie, Wen Jun Yin, Meng Zhang, Xin Zhang, Shuai Zhu
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Patent number: 10628757Abstract: A system, method and computer program product for establishing and using a pollutant emission scavenging forecasting (PESF) model to calculate a purgeable pollutant emission to dynamically control an emitted pollutant at any target concentration. The dynamic control considers the initial pollutant concentration and pollutant scavenging ability of atmosphere. The method further takes into account the constraint conditions specified by a user, and employs a dynamic emission correction system to quickly calculate an optimal pollutant emission scheme. If the emission is lower than minimum acceptable value for a current time instance (a moment), the method corrects the emission intensity before (prior to) this moment by changing the initial concentration at this time. This initial concentration is the final pollutant concentration of a prior moment.Type: GrantFiled: January 26, 2017Date of Patent: April 21, 2020Assignee: International Business Machines CorporationInventors: Hui Du, Yu Du, Si Huang, Yu Jia Tang, Bao Guo Xie, Wen Jun Yin, Meng Zhang, Xin Zhang, Shuai Zhu
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Patent number: 10330655Abstract: According to one or more embodiments of the present invention, a method of forecasting air quality is provided. The method includes determining weather pattern classifications based on global atmospheric information from a global weather model and determining a synoptic scale correction factor in response to the determination of the weather pattern classifications. The method also includes blending the global atmospheric information the synoptic scale correction factor to produce a data set and blending the data set with regional atmospheric information from a regional weather model to generate weather fields. The method further includes blending chemical information from a global chemical model and the synoptic scale correction factor to produce a second data set and blending the second data set into a regional chemical model based on the weather fields to forecast the air quality.Type: GrantFiled: January 11, 2017Date of Patent: June 25, 2019Assignee: INTERNATIONAL BUSINESS MACHINES CORPORATIONInventors: Hui Du, Yu Du, Si Huang, Yu Jia Tang, Bao Guo Xie, Meng Zhang, Xin Zhang, Shuai Zhu
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Publication number: 20180259678Abstract: Post-processing corrections can be applied to operational numerical model forecasts of weather variables to reduce forecast model errors. The post-processing technique is based on an analog post-processing correction scheme. In the analog scheme, the system searches for previous model forecasts that are similar to the current forecast, and modifies the current forecast based on errors in such previous predictions. An “abnormal (or abnormal) index” can be generated for each analog as a function of several meteorology variables (i.e., humidity, pressure and temperature) and two experience coefficients. The abnormal index can be used to exclude some errors. Furthermore, dynamic weights based on the “abnormal index” can be applied to the errors. Using the “abnormal index” weights in a post-processing technique may generate a more accurate air quality forecast.Type: ApplicationFiled: November 8, 2017Publication date: September 13, 2018Inventors: Hui DU, Yu DU, Si HUANG, Yu Jia TANG, Bao Guo XIE, Meng ZHANG, Xin ZHANG, Shuai ZHU
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Publication number: 20180259677Abstract: Post-processing corrections can be applied to operational numerical model forecasts of weather variables to reduce forecast model errors. The post-processing technique is based on an analog post-processing correction scheme. In the analog scheme, the system searches for previous model forecasts that are similar to the current forecast, and modifies the current forecast based on errors in such previous predictions. An “abnormal (or abnormal) index” can be generated for each analog as a function of several meteorology variables (i.e., humidity, pressure and temperature) and two experience coefficients. The abnormal index can be used to exclude some errors. Furthermore, dynamic weights based on the “abnormal index” can be applied to the errors. Using the “abnormal index” weights in a post-processing technique may generate a more accurate air quality forecast.Type: ApplicationFiled: March 7, 2017Publication date: September 13, 2018Inventors: Hui DU, Yu DU, Si HUANG, Yu Jia TANG, Bao Guo XIE, Meng ZHANG, Xin ZHANG, Shuai ZHU
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Publication number: 20180210470Abstract: A method for establishing and using a pollutant emission scavenging forecasting (PESF) model to calculate a purgeable pollutant emission to dynamically control an emitted pollutant at any target concentration. The dynamic control considers the initial pollutant concentration and pollutant scavenging ability of atmosphere. The method further takes into account the constraint conditions specified by a user, and employs a dynamic emission correction system to quickly calculate an optimal pollutant emission scheme. If the emission is lower than minimum acceptable value for a current time instance (a moment), the method corrects the emission intensity before (prior to) this moment by changing the initial concentration at this time. This initial concentration is the final pollutant concentration of a prior moment. Since the method makes full use of the atmospheric pollutants scavenging ability, the dynamic emission control scheme can provide the most effective and lowest economic losses solution.Type: ApplicationFiled: November 9, 2017Publication date: July 26, 2018Inventors: Hui DU, Yu DU, Si HUANG, Yu Jia TANG, Bao Guo XIE, Wen Jun YIN, Meng ZHANG, Xin ZHANG, Shuai ZHU
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Publication number: 20180210469Abstract: A system, method and computer program product for establishing and using a pollutant emission scavenging forecasting (PESF) model to calculate a purgeable pollutant emission to dynamically control an emitted pollutant at any target concentration. The dynamic control considers the initial pollutant concentration and pollutant scavenging ability of atmosphere. The method further takes into account the constraint conditions specified by a user, and employs a dynamic emission correction system to quickly calculate an optimal pollutant emission scheme. If the emission is lower than minimum acceptable value for a current time instance (a moment), the method corrects the emission intensity before (prior to) this moment by changing the initial concentration at this time. This initial concentration is the final pollutant concentration of a prior moment.Type: ApplicationFiled: January 26, 2017Publication date: July 26, 2018Inventors: Hui DU, Yu DU, Si HUANG, Yu Jia TANG, Bao Guo XIE, Wen Jun YIN, Meng ZHANG, Xin ZHANG, Shuai ZHU
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Publication number: 20180196023Abstract: According to one or more embodiments of the present invention, a method of forecasting air quality is provided. The method includes determining weather pattern classifications based on global atmospheric information from a global weather model and determining a synoptic scale correction factor in response to the determination of the weather pattern classifications. The method also includes blending the global atmospheric information the synoptic scale correction factor to produce a data set and blending the data set with regional atmospheric information from a regional weather model to generate weather fields. The method further includes blending chemical information from a global chemical model and the synoptic scale correction factor to produce a second data set and blending the second data set into a regional chemical model based on the weather fields to forecast the air quality.Type: ApplicationFiled: January 11, 2017Publication date: July 12, 2018Inventors: Hui Du, Yu Du, Si Huang, Yu Jia Tang, Bao Guo Xie, Meng Zhang, Xin Zhang, Shuai Zhu
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Publication number: 20180149770Abstract: Techniques for generating dynamic dust emission risk index values via construction and use of a dynamic dust emission risk index model are provided. In one example, a computer-implemented method comprises generating, by a system operatively coupled to a processor, a dynamic dust emission risk index value based on a dynamic dust emission risk index model. The computer implemented method also includes supplying, by the system, the dynamic dust emission risk index value to an air quality model. Additionally, the computer implemented method further comprises generating, by the system, a dust emission forecast based on the air quality model.Type: ApplicationFiled: November 28, 2016Publication date: May 31, 2018Inventors: Hui Du, Yu Du, Si Huang, Yu Jia Tang, Bao Guo Xie, Meng Zhang, Xin Zhang, Shuai Zhu