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公开(公告)号:US20190111938A1
公开(公告)日:2019-04-18
申请号:US15782312
申请日:2017-10-12
Applicant: International Business Machines Corporation
Inventor: Hao Chen , Ya Bin Dang , Qi Cheng Li , Shao Chun Li , Li Jun Mei , Jian Wang , Yi Peng Yu , Xin Zhou
IPC: B60W50/08 , H04M1/725 , B60N2/02 , H04L29/08 , B60R16/037
Abstract: A method, a computer program product, and a computer system for managing a device in a vehicle. The computer system obtains a first configuration of a first device of a first vehicle, wherein the first configuration is set by a user of the first vehicle and the first configuration meets a driving habit of the user. The computer system generates an ergonomic model for the user based on the first configuration. The computer system determines a second configuration of a second device of a second vehicle based on the ergonomic model.
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公开(公告)号:US20190026347A1
公开(公告)日:2019-01-24
申请号:US15960602
申请日:2018-04-24
Applicant: INTERNATIONAL BUSINESS MACHINES CORPORATION
Inventor: Qi Cheng Li , Li Jun Mei , Jian Wang , Yi Peng Yu , Xin Zhou
Abstract: An embodiment of the invention may include a method, computer program product and computer system for human-machine communication. The method, computer program product and computer system may include a computing device that maps linguistic data of source content to a vector. The computing device may cluster the linguistic data of source content. The computing device may determine a plurality of segments based on the mapped linguistic data and the clustered linguistic data. The computing device may transform a segment of the plurality of segments into representative data, the representative data is a function of the remaining plurality of segments.
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公开(公告)号:US20190026346A1
公开(公告)日:2019-01-24
申请号:US15657654
申请日:2017-07-24
Applicant: INTERNATIONAL BUSINESS MACHINES CORPORATION
Inventor: Qi Cheng Li , Li Jun Mei , Jian Wang , Yi Peng Yu , Xin Zhou
Abstract: An embodiment of the invention may include a method, computer program product and computer system for human-machine communication. The method, computer program product and computer system may include a computing device that maps linguistic data of source content to a vector. The computing device may cluster the linguistic data of source content. The computing device may determine a plurality of segments based on the mapped linguistic data and the clustered linguistic data. The computing device may transform a segment of the plurality of segments into representative data, the representative data is a function of the remaining plurality of segments.
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14.
公开(公告)号:US10176437B2
公开(公告)日:2019-01-08
申请号:US15142457
申请日:2016-04-29
Applicant: International Business Machines Corporation
Inventor: Chang Sheng Li , Qi Cheng Li , Shao Chun Li , Soumitra Sarkar , Xin Zhou
Abstract: The methods, systems, and computer program products described herein provide optimized provisioning of replacement parts for service calls through the use of machine learning. In some aspects, historical hardware maintenance tickets may be processed to generate symptoms vectors identifying sets of symptoms associated with the hardware maintenance tickets. The symptoms vectors and corresponding parts usage records of the historical hardware maintenance tickets may be used train a decision model to predict a probability that a particular part will be used to fulfill the new hardware maintenance ticket. The predicted probability may be used by the system when generating a parts provisioning plan for the new hardware maintenance ticket.
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公开(公告)号:US10083031B2
公开(公告)日:2018-09-25
申请号:US15917327
申请日:2018-03-09
Applicant: International Business Machines Corporation
Inventor: Ya Bin Dang , Qi Cheng Li , Shao Chun Li , Guang Tai Liang , Xin Zhou
Abstract: A system and method to build feature evolution models for existing applications (“apps”) in the market based on open app data repositories). A feature evolution model of an app depicts the app name, its historical versions (historical version labels, release timestamps of each version), rating values of each version, and structured features (e.g., umbrella features and low-level features) each version introduces, improves or deletes. There is further extracted from the app description and release logs the app name, historical version labels, release timestamps, use the rating info of the app to extract and assign rating values for each version of the app, and apply NLP techniques and source code analysis techniques to extract “structured features” of the app through analyzing the app description, the release logs, and corresponding source code revisions of the app. Upon the built feature evolution models, various feature insights may be easily extracted and generated.
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公开(公告)号:US20180134116A1
公开(公告)日:2018-05-17
申请号:US15349393
申请日:2016-11-11
Applicant: International Business Machines Corporation
Inventor: Hao Chen , Shao Chun Li , Qi Cheng Li , Jie Ma , Li Jun Mei , Jian Wang , Xin Zhou
Abstract: A vehicle occupant comfort system, comprises a processor that stores computer executable components stored in memory. A plurality of sensors sense ambient conditions associated with exterior and interior conditions of a vehicle. A context component infers or determines context of an occupant of the vehicle. A comfort model component implicitly and explicitly trained on occupant comfort related data analyzes information from the plurality of sensors and context component. A comfort controller adjusts environmental conditions of a passenger compartment of the vehicle based at least in part on output of the comfort model component.
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公开(公告)号:US09823954B2
公开(公告)日:2017-11-21
申请号:US14745969
申请日:2015-06-22
Applicant: International Business Machines Corporation
Inventor: Wei Ye Chen , Juhnyoung Lee , Feng Li , Qi Cheng Li , Shao Chun Li , Rong Liu , Li Jun Mei , Wei Sun
CPC classification number: G06F11/3612 , G06F11/008 , G06F11/0706 , G06F11/076 , G06F11/0793 , G06F11/34 , G06F11/3452 , G06F11/3466 , G06F17/11 , G06N5/04 , G06N99/005
Abstract: A method for predicting anomalies in a computer application includes during runtime of the computer application, detecting traffic metrics and incident tickets associated with the computer application, the incident ticket indicating an incident might occur in the computer application; calculating a threshold based on absolute values of second order differences associated with the traffic metrics, wherein the threshold is such that when the absolute value of the second order difference associated with the traffic metrics exceeds the threshold, a recall rate Rrecall that the computer application is recalled is maximized; obtaining predicted metrics of the computer application in a next time period based on the traffic metrics; and in response to an absolute value of a second order difference associated with the predicted metrics exceeding the threshold, predicting potential anomalies of the computer application in the next time period.
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18.
公开(公告)号:US09582344B2
公开(公告)日:2017-02-28
申请号:US14604830
申请日:2015-01-26
Applicant: International Business Machines Corporation
Inventor: Wei Ye Chen , Juhnyoung Lee , Feng Li , Qi Cheng Li , Shao Chun Li , Rong Liu , Li Jun Mei , Wei Sun
CPC classification number: G06F11/3612 , G06F11/008 , G06F11/0706 , G06F11/076 , G06F11/0793 , G06F11/34 , G06F11/3452 , G06F11/3466 , G06F17/11 , G06N5/04 , G06N99/005
Abstract: A method for predicting anomalies in a computer application includes during runtime of the computer application, detecting traffic metrics and incident tickets associated with the computer application, the incident ticket indicating an incident might occur in the computer application; calculating a threshold based on absolute values of second order differences associated with the traffic metrics, wherein the threshold is such that when the absolute value of the second order difference associated with the traffic metrics exceeds the threshold, a recall rate Rrecall that the computer application is recalled is maximized; obtaining predicted metrics of the computer application in a next time period based on the traffic metrics; and in response to an absolute value of a second order difference associated with the predicted metrics exceeding the threshold, predicting potential anomalies of the computer application in the next time period.
Abstract translation: 用于预测计算机应用中的异常的方法包括在计算机应用的运行时间期间检测与计算机应用相关联的流量度量和事件票据,指示事件的事件票据可能发生在计算机应用中; 基于与所述业务度量相关联的二阶差异的绝对值来计算阈值,其中所述阈值使得当与所述业务度量相关联的所述二阶差的绝对值超过所述阈值时,所述计算机应用是 回忆最大化; 基于所述流量度量在下一时间段获得所述计算机应用的预测度量; 并且响应于与超过阈值的预测度量相关联的二阶差的绝对值,预测在下一时间段中的计算机应用的潜在异常。
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公开(公告)号:US20150248762A1
公开(公告)日:2015-09-03
申请号:US14627435
申请日:2015-02-20
Applicant: International Business Machines Corporation
Inventor: Qi Cheng Li , Li Jun Mei , Jian Wang , Fang Quan Xie , Shi Wan Zhao
CPC classification number: G06T7/0042 , G06K9/4671 , G06K9/52 , G06T7/73
Abstract: A method photo-based positioning includes obtaining a positioning photo taken by a mobile device within a predetermined space; comparing multiple feature elements exacted from sampling photos taken within the predetermined space in advance with the positioning photo to determine each feature element existing in the positioning photo; obtaining a first position coordinate of each feature element which is determined to exist in the positioning photo in a sampling photo corresponding to the positioning photo, and a second position coordinate of each feature element which is determined to exist in the positioning photo in the positioning photo; and calculating position parameters of the mobile device by using each of the obtained first position coordinate and second position coordinate, wherein the least number of feature elements existing in the positioning photo is determined according to the number of the position parameters.
Abstract translation: 基于方法的照片定位包括:在预定空间内获取由移动装置拍摄的定位照片; 比较从预定空间中拍摄的照片中获取的多个特征元素与定位照片,以确定定位照片中存在的每个特征元素; 获取确定存在于定位照片中的每个特征元素在与定位照片相对应的采样照片中的第一位置坐标,以及确定存在于定位照片中的定位照片中的每个特征元素的第二位置坐标 ; 以及通过使用所获得的第一位置坐标和第二位置坐标中的每一个来计算移动设备的位置参数,其中存在于定位照片中的特征元素的最少数量根据位置参数的数量来确定。
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公开(公告)号:US20230071026A1
公开(公告)日:2023-03-09
申请号:US17988927
申请日:2022-11-17
Applicant: INTERNATIONAL BUSINESS MACHINES CORPORATION
Inventor: Hao Chen , Guo Qiang Hu , Qi Cheng Li , Li Jun Mei , Jian Wang , Yi Min Wang , Zi Yu Zhu
Abstract: A method and system for generating a three-dimensional (3D) virtual scene are disclosed. The method includes: identifying a two-dimensional (2D) object in a 2D picture and the position of the 2D object in the 2D picture; obtaining the three-dimensional model of the 3D object corresponding to the 2D object; calculating the corresponding position of the 3D object corresponding to the 2D object in the horizontal plane of the 3D scene according to the position of the 2D object in the picture; and simulating the falling of the model of the 3D object onto the 3D scene from a predetermined height above the 3D scene, wherein the position of the landing point the model of the 3D object in the horizontal plane is the corresponding position of the 3D object in the horizontal plane of the 3D scene.
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