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公开(公告)号：US20150319576A1
公开(公告)日：2015-11-05
申请号：US14745936
申请日：2015-06-22
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.
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公开(公告)号：US11429581B2
公开(公告)日：2022-08-30
申请号：US15829857
申请日：2017-12-01
Applicant: INTERNATIONAL BUSINESS MACHINES CORPORATION
Inventor： Ning Duan , Chun Yang Ma , Makoto Tanibayashi , Zhi Hu Wang , Shoichiro Watanabe , Nan Xia , Xin Zhang , Jun Zhu
Abstract: A method and/or system for managing a database that stores space-time context objects is provided. The system receives a query range in a multi-dimensional space. The system maps the query range into a set of fragments of a space-filling curve that fills the multi-dimensional space in all dimensions of the multi-dimensional space. The system uses each mapped fragment in the set of mapped fragments as a key to query the database for space-time context objects that are mapped to the space-filling curve. The system queries the database by identifying one or more context objects that intersect the mapped fragment at the space-filling curve.
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公开(公告)号：US11100399B2
公开(公告)日：2021-08-24
申请号：US15818877
申请日：2017-11-21
Applicant: INTERNATIONAL BUSINESS MACHINES CORPORATION
Inventor： Wei Shan Dong , Peng Gao , Chang Sheng Li , Chun Yang Ma , Kai AD Yang , Ren Jie Yao , Ting Yuan , Jun Zhu
Abstract: Systems and methods for training a neural network model are disclosed. In the method, training data is obtained by a deep neural network (DNN) first, the deep neural network comprising at least one hidden layer. Then features of the training data are obtained from a specified hidden layer of the at least one hidden layer, the specified hidden layer being connected respectively to a supervised classification network for classification tasks and an autoencoder based reconstruction network for reconstruction tasks. And at last the DNN, the supervised classification network and the reconstruction network are trained as a whole based on the obtained features, the training being guided by the classification tasks and the reconstruction tasks.
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公开(公告)号：US10828959B2
公开(公告)日：2020-11-10
申请号：US15706027
申请日：2017-09-15
Applicant: International Business Machines Corporation
Inventor： Ning Duan , Peng Gao , Jing Chang Huang , Peng Ji , Chun Yang Ma , Wei Sun , Zhi Hu Wang , Ren Jie Yao
Abstract: A method to train a machine learning model for in-vehicle air quality control in a knowledge-based system, executed by one or more computer processors, includes collecting data related to in-vehicle air quality from a plurality of probe cars where the data is collected by various on-board systems in each probe car. The method includes correlating the data related to in-vehicle air quality from each probe car with air quality measurements from each probe car, where the correlation is used to update the machine learning model. The method includes determining a situation when an in-vehicle air quality measurement of the air quality measurements is above a pre-determined in-vehicle air quality level and determining instructions for actions by one or more of the one or more on-board systems in each of the probe cars to maintain an in-vehicle air quality level at or below the pre-determined in-vehicle air quality level.
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公开(公告)号：US10572818B2
公开(公告)日：2020-02-25
申请号：US14727993
申请日：2015-06-02
Applicant: International Business Machines Corporation
Inventor： Wei Shan Dong , Peng Gao , Guo Qiang Hu , Chang Sheng Li , Xu Liang Li , Chun Yang Ma , Zhi Wang , Xin Zhang
Abstract: A mechanism is provided in a data processing system for distributed tree learning. A source processing instance distributes data record instances to a plurality of model update processing items. The plurality of model update processing items determine candidate leaf splitting actions in a decision tree in parallel based on the data record instances. The plurality of model update processing items send the candidate leaf splitting actions to a plurality of conflict resolve processing items. The plurality of conflict resolve processing items identifies conflict leaf splitting actions. The plurality of conflict resolve processing items applies tree structure changes to the decision tree in the plurality of model update processing items.
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Patent Agency Ranking
公开(公告)号：US20190157816A1
公开(公告)日：2019-05-23
申请号：US15821712
申请日：2017-11-22
Applicant: INTERNATIONAL BUSINESS MACHINES CORPORATION
Inventor： Ning Duan , Peng Gao , Chun Yang Ma , Zhi Hu Wang , Ren Jie Yao
Abstract: An interconnection unit includes a first connector configured to be coupled to an electronic device. There is a second connector configured to be coupled to a power station and to provide a path to the electronic device via the first connector. There is a low pass filter coupled between the first connector and the second connector and configured to allow the electronic device to receive power from the power station while maintaining data security of the electronic device.
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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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48.发明授权公开(公告)号：US09723041B2
公开(公告)日：2017-08-01
申请号：US15352307
申请日：2016-11-15
Applicant: International Business Machines Corporation
Inventor： Wei Shan Dong , Ning Duan , Peng Gao , Chang Sheng Li , Chun Yang Ma , Xin Zhang , Jun Zhu
CPC classification number: H04L65/4069 , G06F9/4881 , G08G1/0112 , H04L67/12
Abstract: A vehicle domain multi-level parallel buffering and context-based streaming data pre-processing system includes a first data processing level and a second data processing level. The first data processing level includes a first-level buffer configured to buffer data provided from a plurality of raw data streams output from a plurality of vehicles. The second data processing level includes an electronic task-queue-dictionary (TQD) module and a plurality of second-level data processing buffers. The TQD module is configured to create a plurality of tasks in response to receiving a serial data stream output from the first-level buffer. The TQD module is further configured to assign each task to a corresponding second-level buffer, and separate the serial data stream into individual data values that are delivered to a specific second-level buffer based on the task so as to generate a multi-level parallel context-based buffering operation.
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公开(公告)号：US20160358095A1
公开(公告)日：2016-12-08
申请号：US14727993
申请日：2015-06-02
Applicant: International Business Machines Corporation
Inventor： Wei Shan Dong , Peng Gao , Guo Qiang Hu , Chang Sheng Li , Xu Liang Li , Chun Yang Ma , Zhi Wang , Xin Zhang
Abstract: A mechanism is provided in a data processing system for distributed tree learning. A source processing instance distributes data record instances to a plurality of model update processing items. The plurality of model update processing items determine candidate leaf splitting actions in a decision tree in parallel based on the data record instances. The plurality of model update processing items send the candidate leaf splitting actions to a plurality of conflict resolve processing items. The plurality of conflict resolve processing items identifies conflict leaf splitting actions. The plurality of conflict resolve processing items applies tree structure changes to the decision tree in the plurality of model update processing items.
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公开(公告)号：US20160356608A1
公开(公告)日：2016-12-08
申请号：US14731529
申请日：2015-06-05
Applicant: International Business Machines Corporation
Inventor： Wei Shan Dong , Ning Duan , Peng Gao , Chun Yang Ma , Xin Zhang
Abstract: In one embodiment, a computer-implemented method includes receiving a global positioning system (GPS) location of a mobile device. Two or more road locations are determined as possible locations corresponding to the GPS location in a physical network of a set of roads. A first portion of a virtual network is built, by a computer processor, by expanding the virtual network from a node representing a prior road location to the two or more candidate road locations. A first candidate road location is selected as a current road location from among the two or more candidate road locations. A route of the mobile device is identified as including the prior road location and the first candidate road location. At least one of the two or more candidate road locations not selected as the current road location is excluded from future building of the virtual network. The virtual network is built dynamically.
Abstract translation: 在一个实施例中，计算机实现的方法包括接收移动设备的全球定位系统（GPS）位置。 确定两个或多个道路位置作为与一组道路的物理网络中的GPS位置相对应的可能位置。 虚拟网络的第一部分由计算机处理器通过将虚拟网络从代表先前道路位置的节点扩展到两个或更多候选道路位置来构建。 从两个或更多个候选道路位置中选择第一候选道路位置作为当前道路位置。 移动装置的路线被识别为包括现有道路位置和第一候选道路位置。 未被选择为当前道路位置的两个或更多候选道路位置中的至少一个被排除在虚拟网络的未来构建之外。 虚拟网络是动态构建的。
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