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公开(公告)号:US09723441B2
公开(公告)日:2017-08-01
申请号:US14875723
申请日:2015-10-06
Applicant: International Business Machines Corporation
Inventor: Wei Shan Dong , Ning Duan , Min Gong , Yun Jie Qiu , Yu Wang , Chao Xue , Junchi Yan , Chao Zhang , Wei Zhao
CPC classification number: H04W4/022 , H04M15/41 , H04M15/8038 , H04W4/24 , H04W36/0083
Abstract: Location based on call detail record. The method includes: acquiring handover call detail record (HCDR) data and handover (HO) data corresponding to at least one cell transfer during a call; The HCDR data can include a start time, an end time, passed cells during the call; The HO data can include the HO time for each pair of adjacent cells among the passed cells during the call. The method can further include estimating the location of the subscriber based on the HCDR data and the HO data.
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公开(公告)号:US09721334B2
公开(公告)日:2017-08-01
申请号:US14957662
申请日:2015-12-03
Applicant: International Business Machines Corporation
Inventor: Boliang Chen , Min Gong , Dong Sheng Li , Junchi Yan , Chao Zhang , Wei Peng Zhang
CPC classification number: G06K9/6256 , G06K9/4628 , G06K9/6273 , G06K9/6857 , G06K2209/05 , G06T7/001 , G06T2207/10081 , G06T2207/10116 , G06T2207/20016 , G06T2207/30164
Abstract: A computer-implemented method, computer program product, and system for detecting work-piece defects. The computer-implemented method may include: receiving a first image of a training work-piece captured using a non-destructive imaging process and a second image of the training work-piece captured using a destructive imaging process; receiving an image of a work-piece captured using a non-destructive imaging process, wherein the work-piece is substantially similar to the training work-piece, and the non-destructive imaging process used to capture the work-piece is substantially similar to the non-destructive imaging process used to capture the training work-piece; matching the image of the work-piece to the first image of the training work-piece; and enhancing the image of the work-piece using the second image of the training work-piece, in response to the image of the work-piece matching the first image of the training work-piece.
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公开(公告)号:US09483467B2
公开(公告)日:2016-11-01
申请号:US14679165
申请日:2015-04-06
Applicant: International Business Machines Corporation
Inventor: Yue H. Chen , Wei Shan Dong , Chun Yang Ma , Chunhua Tian , Yu Wang , Chao Zhang
CPC classification number: H04W4/185 , G06F17/30 , G06F17/30241 , H04W4/021 , H04W4/023 , H04W4/029 , H04W4/80
Abstract: A method of tagging a geographical area includes obtaining, with a processing device, attribute information and mobile tracking data of a plurality of mobile objects, wherein the mobile tracking data comprises sampling time and corresponding sampling point locations of the mobile objects; converting the mobile tracking data of the plurality of mobile objects into new mobile tracking data according to the correspondence relationship between the sampling time and a time slices, wherein the new mobile tracking data include time slices and corresponding sampling point locations; and obtaining a set of attribute information of at least one geographical area with respect to the time slices based on the new mobile tracking data, wherein the at least one geographical area is obtained by clustering the sampling point locations.
Abstract translation: 标记地理区域的方法包括:利用处理设备获得多个移动对象的属性信息和移动跟踪数据,其中移动跟踪数据包括移动对象的采样时间和对应采样点位置; 根据采样时间和时间片之间的对应关系将多个移动对象的移动跟踪数据转换成新的移动跟踪数据,其中新的移动跟踪数据包括时间片和对应的采样点位置; 以及基于所述新的移动跟踪数据获得关于所述时间片的至少一个地理区域的一组属性信息,其中通过对所述采样点位置进行聚类而获得所述至少一个地理区域。
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公开(公告)号:US20160155027A1
公开(公告)日:2016-06-02
申请号:US15018005
申请日:2016-02-08
Applicant: International Business Machines Corporation
Inventor: Min Gong , Yu Wang , Zhi H. Wang , Junchi Yan , Chao Zhang , Qian K. Zhao , Jun Zhu
CPC classification number: G06K9/66 , G01J1/42 , G01N33/0062 , G06K9/00 , G06K9/6256
Abstract: In an approach to determining an air quality based on image, a computer performs a method, the method comprising: determining an image to be measured; determining an air quality model of at least one key area, the at least one key area including a key area associated with the image to be measured; acquiring a reference clear image corresponding to the image to be measured; and determining an air quality index to be measured based on an air quality related feature extracted from the image to be measured, the corresponding reference clear image, and the determined air quality model of the key area associated with the image to be measured.
Abstract translation: 在基于图像确定空气质量的方法中,计算机执行方法,所述方法包括:确定要测量的图像; 确定至少一个关键区域的空气质量模型,所述至少一个关键区域包括与要测量的图像相关联的关键区域; 获取与要测量的图像相对应的参考清晰图像; 以及基于从待测图像提取的空气质量相关特征,对应的参考清晰图像和与待测图像相关联的关键区域的确定的空气质量模型来确定要测量的空气质量指数。
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公开(公告)号:US09355332B2
公开(公告)日:2016-05-31
申请号:US14621665
申请日:2015-02-13
Applicant: International Business Machines Corporation
Inventor: Wei Shan Dong , Chang Sheng Li , Min Li , Chun Yang Ma , Yu Wang , Jun Chi Yan , Chao Zhang
IPC: G06K9/46 , G06K9/60 , G06T7/00 , G06F3/01 , G06F3/041 , G06F3/0488 , G06T7/40 , G06T11/20 , G06K9/00 , G06K9/03
CPC classification number: G06K9/60 , G06F3/017 , G06F3/0414 , G06F3/04883 , G06K9/00476 , G06K9/033 , G06T11/203 , G06T2207/10004 , G06T2207/30241 , G06T2210/12
Abstract: A method for recognizing a primitive in an image includes recognizing at least one primitive in the image to obtain at least one candidate shape of the at least one primitive, which at least one candidate shape has a respective confidence; determining whether the recognizing of the at least one primitive has a potential error based on the confidence; obtaining auxiliary information about the at least one primitive from a user in response to determining that the recognizing has the potential error; and re-recognizing the at least one primitive at least in part based on the auxiliary information.
Abstract translation: 用于识别图像中的原语的方法包括识别图像中的至少一个基元以获得至少一个候选形状具有相应置信度的至少一个基元的至少一个候选形状; 确定所述至少一个基元的识别是否具有基于所述置信度的潜在误差; 响应于确定所述识别具有所述潜在错误,从用户获得关于所述至少一个原语的辅助信息; 以及至少部分地基于所述辅助信息重新识别所述至少一个原语。
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公开(公告)号:US10725008B2
公开(公告)日:2020-07-28
申请号:US15494759
申请日:2017-04-24
Applicant: International Business Machines Corporation
Inventor: Jin Dong , Xiao Guang Rui , Jian Yao , Wen Jun Yin , Chao Zhang , Xin Zhang , Yu Xin Zhao
Abstract: A system, a computer readable storage medium, and a method for automatically siting for air quality monitoring stations includes collecting from air quality monitoring stations air pollution concentration data, collecting from meteorological stations meteorological data, and interpolating, by the at least one or more processors, the air pollution concentration data to provide interpolated air pollution concentration data. The method and system can further cluster the interpolated air pollution concentration data and the meteorological data to provide clustered data and select a candidate site for an air monitoring station using the clustered data. The method and system can further evaluate a relationship of the air pollution concentration data with the meteorological data by weighting the air pollution data with the meteorological data.
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公开(公告)号:US10136273B2
公开(公告)日:2018-11-20
申请号:US15259727
申请日:2016-09-08
Applicant: International Business Machines Corporation
Inventor: Yue H. Chen , Wei Shan Dong , Chun Yang Ma , Chunhua Tian , Yu Wang , Chao Zhang
Abstract: A method of tagging a geographical area includes obtaining, with a processing device, attribute information and mobile tracking data of a plurality of mobile objects, wherein the mobile tracking data comprises sampling time and corresponding sampling point locations of the mobile objects; converting the mobile tracking data of the plurality of mobile objects into new mobile tracking data according to the correspondence relationship between the sampling time and a time slices, wherein the new mobile tracking data include time slices and corresponding sampling point locations; and obtaining a set of attribute information of at least one geographical area with respect to the time slices based on the new mobile tracking data, wherein the at least one geographical area is obtained by clustering the sampling point locations.
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公开(公告)号:US09740967B2
公开(公告)日:2017-08-22
申请号:US15018005
申请日:2016-02-08
Applicant: International Business Machines Corporation
Inventor: Min Gong , Yu Wang , Zhi H. Wang , Junchi Yan , Chao Zhang , Qian K. Zhao , Jun Zhu
CPC classification number: G06K9/66 , G01J1/42 , G01N33/0062 , G06K9/00 , G06K9/6256
Abstract: In an approach to determining an air quality based on image, a computer performs a method, the method comprising: determining an image to be measured; determining an air quality model of at least one key area, the at least one key area including a key area associated with the image to be measured; acquiring a reference clear image corresponding to the image to be measured; and determining an air quality index to be measured based on an air quality related feature extracted from the image to be measured, the corresponding reference clear image, and the determined air quality model of the key area associated with the image to be measured.
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公开(公告)号:US20170228652A1
公开(公告)日:2017-08-10
申请号:US15497658
申请日:2017-04-26
Applicant: International Business Machines Corporation
Inventor: Wei S. Dong , Chunhua Tian , Yu Wang , Yu Wang , Junchi Yan , Chao Zhang
CPC classification number: G06N5/04 , G06F17/18 , G06K9/6262 , G06N20/00 , G06Q10/06375
Abstract: An approach for a computer to evaluate a predictive model includes identifying features of training samples in a set of training samples. The approach selects evaluation metrics from a set of evaluation metrics as available metrics using identified features and includes determining recommended metrics using the predictive model, the available metrics, and a predetermined set of user-preferred metrics. The approach applies the predictive model created using the set of training samples to a set of test samples to calculate values of the available metrics. The approach evaluates the predictive model by using the available metrics and the values of the available metrics to evaluate the predictive model by evaluating the predictive model using the recommended metrics and the values of the recommended metrics.
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公开(公告)号:US09684872B2
公开(公告)日:2017-06-20
申请号:US14730296
申请日:2015-06-04
Applicant: International Business Machines Corporation
Inventor: Wei S. Dong , Wen Q. Huang , Chang S. Li , Yu Wang , Junchi Yan , Chao Zhang , Xin Zhang , Xiu F. Zhu
CPC classification number: G06N7/00
Abstract: A method and an apparatus for generating data in a missing segment of a target time data sequence are disclosed. The method includes: determining whether there is a breakpoint in the missing segment; determining candidate values of the data in the missing segment; and generating values of the data in the missing segment by selectively using the candidate values of the data in the missing segment, according to whether there is the breakpoint in the missing segment. With the method and the apparatus, the data in the missing segment of the target time data sequence can be generated more accurately.
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