Patents by Inventor Miao Guo
Miao Guo 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: 12234161Abstract: A kitchen waste wastewater treatment equipment includes a reaction kettle, a discharging mechanism and a pressurizing mechanism. In the process of high-temperature and high-pressure thermal hydrolysis of wastewater in the present disclosure, the pressurizing disk in the pressurizing mechanism continuously moves downwards in a vacuum state in the reaction kettle, reducing the volume in the reaction kettle and thus increasing the pressure. The secondary pressurization of wastewater is achieved while using heating for high-temperature and high-pressure, and the high-temperature and high-pressure environment greatly improves the reaction rate of thermal hydrolysis. The thermal hydrolysis reaction also generates gas for further pressurization, which greatly improves the treatment efficiency of wastewater. Moreover, the pressurizing mechanism and the exhaust annular groove can separate the gas generated after thermal hydrolysis.Type: GrantFiled: September 4, 2024Date of Patent: February 25, 2025Assignee: Zhongcheng Institute (Beijing) Environmental Technology Co., Ltd.Inventors: Xiaoqing Hu, Tao Liu, Fengming Yue, Xingyu Zhang, Rufei Liu, Chao Ji, Feng Zhang, Liyu Liu, Zhongtao Sun, Miao Guo
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Publication number: 20250053144Abstract: One embodiment of the invention provides a computer-implemented method for optimization of a continuous production process. The method comprises receiving input data comprising a plurality of datasets each including one or more variables relating to a production equipment involved in the continuous production process. The method further comprises generating different prediction models based on the input data. Each of the prediction models is configured to output a target prediction relating to the production equipment. The method further comprises generating an objective optimization model based on each target prediction output from each of the prediction models. The objective optimization model comprises a deep neural network.Type: ApplicationFiled: August 8, 2023Publication date: February 13, 2025Inventors: Jing Du, Deng Xin Luo, Li Jia Lu, Miao Guo
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Patent number: 12020126Abstract: A method, system, and computer program product for implementing automated pressure level detection and correction is provided. The method includes retrieving from sensors, measurement attributes associated with geological conditions occurring during a mining process. Subsequently, threshold levels configured to activate an alarm associated with measurement attributes exceeding the threshold levels are determined and code is executed with respect to the threshold levels. A combined threshold severity level associated with the safety threshold levels is determined and code is executed with respect to the safety threshold levels. A combined clustering level associated with the safety threshold levels is determined and a difference value between the combined threshold severity level and combined clustering level is generated.Type: GrantFiled: April 8, 2021Date of Patent: June 25, 2024Assignee: International Business Machines CorporationInventors: Deng Xin Luo, Miao Guo, Xiang Yu Yang, Yi Ming Wang, Yan Yu Zhang, Wen Wang
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Patent number: 12008081Abstract: A method, a computing system and a computer program product for collecting and labelling images includes capturing a video of an object with a camera. A movement trace of a pointer is recorded that outlines the object while capturing the video of the object. Further included is generating a labeled image based at least on the captured video of the object and the recorded movement trace of the pointer. The labeled image includes the object and a line that surrounds the object.Type: GrantFiled: May 19, 2021Date of Patent: June 11, 2024Assignee: International Business Machines CorporationInventors: Tian Tian Chai, Hong Bing Zhang, Kun Yan Yin, Miao Guo, Yu Luo, Yun Jing Zhao
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Patent number: 11975370Abstract: The present disclosure provides a pulse current assisted uncanned rolling method for titanium-TiAl composite plates, including the following specific steps: 1. preparing titanium alloy sheets; 2. preparing TiAl alloy sheets; 3. uncanned lay-up; 4. pulse current assisted hot-rolling; 5. separation and subsequent processing, thus getting the titanium-TiAl composite plates. The composite plates are of good quality on the surface without oxide layer shedding, no cracks at the edges and the ends, with uniform and fine microstructures, good bonding interface and excellent mechanical properties.Type: GrantFiled: October 23, 2020Date of Patent: May 7, 2024Assignee: Taiyuan University of TechnologyInventors: Jianchao Han, Yi Jia, Tao Wang, Zhongkai Ren, Yuanming Liu, Dongping He, Sha Li, Miao Guo
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Patent number: 11770305Abstract: Approaches presented herein enable deploying a distributed machine learning framework in an edge computing environment. More specifically, a status of a connection between a computing system and an edge node of a plurality of edge nodes is monitored. At least one server node and a group of worker nodes from the plurality of edge nodes are identified based on the status. A path for distributing the training data to the worker nodes is determined based on the status. The training data from the edge node to the worker nodes is distributed via the path.Type: GrantFiled: August 9, 2021Date of Patent: September 26, 2023Assignee: International Business Machines CorporationInventors: Dong Qin, Jing Du, Li Jia Lu, Lin Zhang, Miao Guo
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Patent number: 11640388Abstract: Methods, computer program products, and/or systems are provided that perform the following operations: obtaining pre-check data associated with specified data nodes; calculating outliers for each specified data node, wherein the outliers are calculated based on a unit of the pre-check data associated with each specified data node; backtracking the calculated outliers for each specified data node through an associated generating data link; selecting one or more data nodes associated with a set of largest outliers; selecting one or more data links associated with the set of largest outliers; and generating potential anomaly indications based on the one or more data nodes selected and the one or more data links selected.Type: GrantFiled: April 30, 2021Date of Patent: May 2, 2023Assignee: International Business Machines CorporationInventors: Xiang Yu Yang, Deng Xin Luo, Ye Wang, Yu Pan, Zhong Fang Yuan, Miao Guo
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Publication number: 20230037308Abstract: Approaches presented herein enable deploying a distributed machine learning framework in an edge computing environment. More specifically, a status of a connection between a computing system and an edge node of a plurality of edge nodes is monitored. At least one server node and a group of worker nodes from the plurality of edge nodes are identified based on the status. A path for distributing the training data to the worker nodes is determined based on the status. The training data from the edge node to the worker nodes is distributed via the path.Type: ApplicationFiled: August 9, 2021Publication date: February 9, 2023Inventors: Dong Qin, Jing Du, Li Jia Lu, Lin Zhang, Miao Guo
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Publication number: 20220374652Abstract: A method, a computing system and a computer program product for collecting and labelling images includes capturing a video of an object with a camera. A movement trace of a pointer is recorded that outlines the object while capturing the video of the object. Further included is generating a labeled image based at least on the captured video of the object and the recorded movement trace of the pointer. The labeled image includes the object and a line that surrounds the object.Type: ApplicationFiled: May 19, 2021Publication date: November 24, 2022Inventors: Tian Tian Chai, Hong Bing Zhang, Kun Yan Yin, Miao Guo, Yu Luo, Yun Jing Zhao
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Publication number: 20220350789Abstract: Methods, computer program products, and/or systems are provided that perform the following operations: obtaining pre-check data associated with specified data nodes; calculating outliers for each specified data node, wherein the outliers are calculated based on a unit of the pre-check data associated with each specified data node; backtracking the calculated outliers for each specified data node through an associated generating data link; selecting one or more data nodes associated with a set of largest outliers; selecting one or more data links associated with the set of largest outliers; and generating potential anomaly indications based on the one or more data nodes selected and the one or more data links selected.Type: ApplicationFiled: April 30, 2021Publication date: November 3, 2022Inventors: Xiang Yu Yang, Deng Xin Luo, Ye Wang, Yu Pan, Zhong Fang Yuan, Miao Guo
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Publication number: 20220327420Abstract: A method, system, and computer program product for implementing automated pressure level detection and correction is provided. The method includes retrieving from sensors, measurement attributes associated with geological conditions occurring during a mining process. Subsequently, threshold levels configured to activate an alarm associated with measurement attributes exceeding the threshold levels are determined and code is executed with respect to the threshold levels. A combined threshold severity level associated with the safety threshold levels is determined and code is executed with respect to the safety threshold levels. A combined clustering level associated with the safety threshold levels is determined and a difference value between the combined threshold severity level and combined clustering level is generated.Type: ApplicationFiled: April 8, 2021Publication date: October 13, 2022Inventors: Deng Xin Luo, Miao Guo, Xiang Yu Yang, Yi Ming Wang, Yan Yu Zhang, Wen Wang
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Publication number: 20220241831Abstract: The present disclosure provides a pulse current assisted uncanned rolling method for titanium-TiAl composite plates, including the following specific steps: 1. preparing titanium alloy sheets; 2. preparing TiAl alloy sheets; 3. uncanned lay-up; 4. pulse current assisted hot-rolling; 5. separation and subsequent processing, thus getting the titanium-TiAl composite plates. The composite plates are of good quality on the surface without oxide layer shedding, no cracks at the edges and the ends, with uniform and fine microstructures, good bonding interface and excellent mechanical properties.Type: ApplicationFiled: October 23, 2020Publication date: August 4, 2022Inventors: Jianchao HAN, Yi JIA, Tao WANG, Zhongkai REN, Yuanming LIU, Dongping HE, Sha LI, Miao GUO
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Patent number: 11023210Abstract: In an approach to generating program analysis rules, one or more computer processors identify one or more unassociated code standard documents. The one or more computer processors feed the one or more unassociated code standard documents into a cognitive model, wherein the cognitive model utilizes one or more historical code standard documents based on the unassociated code standard documents and associated program analysis rules based on the unassociated code standard documents, wherein the historical code standard documents are natural language documents and the program analysis rules are programmatic. The one or more computer processors generate, based on one or more calculations by the cognitive model, one or more program analysis rules. The one or more computer processors correct one or more programmatic errors or one or more stylistic errors based on the generated one or more program analysis rules.Type: GrantFiled: March 20, 2019Date of Patent: June 1, 2021Assignee: International Business Machines CorporationInventors: Yu Li, Zi Lin Zhang, Yingyi Wang, Miao Guo, Yi Bin Wang, Yao Xing Li
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Publication number: 20200301672Abstract: In an approach to generating program analysis rules, one or more computer processors identify one or more unassociated code standard documents. The one or more computer processors feed the one or more unassociated code standard documents into a cognitive model, wherein the cognitive model utilizes one or more historical code standard documents based on the unassociated code standard documents and associated program analysis rules based on the unassociated code standard documents, wherein the historical code standard documents are natural language documents and the program analysis rules are programmatic. The one or more computer processors generate, based on one or more calculations by the cognitive model, one or more program analysis rules. The one or more computer processors correct one or more programmatic errors or one or more stylistic errors based on the generated one or more program analysis rules.Type: ApplicationFiled: March 20, 2019Publication date: September 24, 2020Inventors: Yu Li, Zi Lin Zhang, Yingyi Wang, Miao Guo, Yi Bin Wang, Yao Xing Li