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31. 发明申请

US20180089067A1 WHITE BOX TESTING 审中-公开
公开(公告)号：US20180089067A1
公开(公告)日：2018-03-29
申请号：US15275739
申请日：2016-09-26
申请人： International Business Machines Corporation
发明人： Da L. Huang , Zhang Wu , Lu Yu , Xin Zhang , Yun Jie Zhou
IPC分类号： G06F11/36
CPC分类号： G06F11/3684 , G06F11/3676 , G06F11/3688
摘要： The source code of a software artifact may be scanned, and a call tree model with leaf nodes may be generated based on the scan. A set of test cases can be executed against the software artifact and log data from the execution can be collected. A set of untested leaf nodes can be detected and a new set of test cases can be generated to test the untested nodes. The new set of test cases are executed and a subset of the test cases which cover the previously untested nodes are added to the existing set of test cases.

32. 发明授权

US09909882B2 Verifying a road network of a map 有权
公开(公告)号：US09909882B2
公开(公告)日：2018-03-06
申请号：US15185085
申请日：2016-06-17
申请人： International Business Machines Corporation
发明人： Ning Duan , Peng Gao , Baohua Wang , Xin Zhang
IPC分类号： G01C21/32 , G01C21/30 , G01C21/36 , G01C21/34 , G01C21/20 , G01C21/26
CPC分类号： G01C21/32 , G01C21/20 , G01C21/26 , G01C21/30 , G01C21/34 , G01C21/3667
摘要： The present disclosure relates to a computer implemented method, a computer program product, and a computer system for verifying the road network of map. An embodiment of the present invention provides a method for verifying a road network of a map. The method comprises: determining, based on locations of a set of points in the map, a trajectory distance of a trajectory between a start point and an end point in the set of points on the map; determining a route distance between the start point and the end point in the road network of the map; and verifying the road network by comparing the trajectory distance and the route distance.

33. 发明授权

US09769251B2 Deployment of virtual machines 有权
公开(公告)号：US09769251B2
公开(公告)日：2017-09-19
申请号：US14924872
申请日：2015-10-28
申请人： International Business Machines Corporation
发明人： Tao Jiang , Xian Dong Meng , George J. Romano , Jianhua Rui , Hong Bo Xu , Xin Zhang
IPC分类号： G06F9/455 , H04L29/08
CPC分类号： H04L67/10 , G06F9/45558 , G06F2009/4557 , G06F2009/45575 , H04L67/34
摘要： According to embodiments of the present invention, a method, a device and a computer program product for quick deployment of multiple virtual machines are provided. The method comprises mounting a centralized storage volume on a host in response to boot-up of a virtual machine on the host. The method further comprises obtaining unique information assigned to the virtual machine. In addition, the method comprises retrieving public and private configuration for the virtual machine from the centralized storage volume based on the obtained unique information, the public and private configuration being applied in the boot-up of the virtual machine on the host.

34. 发明申请

US20170083356A1 DEPLOYMENT OF VIRTUAL MACHINES 有权
公开(公告)号：US20170083356A1
公开(公告)日：2017-03-23
申请号：US14924872
申请日：2015-10-28
申请人： International Business Machines Corporation
发明人： Tao Jiang , Xian Dong Meng , George J. Romano , Jianhua Rui , Hong Bo Xu , Xin Zhang
IPC分类号： G06F9/455 , H04L29/08
CPC分类号： H04L67/10 , G06F9/45558 , G06F2009/4557 , G06F2009/45575 , H04L67/34
摘要： According to embodiments of the present invention, a method, a device and a computer program product for quick deployment of multiple virtual machines are provided. The method comprises mounting a centralized storage volume on a host in response to boot-up of a virtual machine on the host. The method further comprises obtaining unique information assigned to the virtual machine. In addition, the method comprises retrieving public and private configuration for the virtual machine from the centralized storage volume based on the obtained unique information, the public and private configuration being applied in the boot-up of the virtual machine on the host.

35. 发明申请

US20170061327A1 SCALABLE STREAMING DECISION TREE LEARNING 审中-公开
标题翻译：可定量流动决策树的学习
公开(公告)号：US20170061327A1
公开(公告)日：2017-03-02
申请号：US14953457
申请日：2015-11-30
申请人： International Business Machines Corporation
发明人： Wei Shan Dong , Peng Gao , Guo Qiang Hu , Chang Sheng LI , Xu Liang Li , Chun Yang Ma , Zhi Wang , Xin Zhang
IPC分类号： G06N99/00 , G06N5/02
CPC分类号： G06N5/02 , G06N5/025
摘要： In one embodiment, a computer-implemented method includes receiving training data including a plurality of records, each record having a plurality of attributes. The training data is horizontally parallelized across two or more processing elements. This horizontal parallelizing includes dividing the training data into two or more subsets of records; assigning each subset of records to a corresponding processing element of the two or more processing elements; transmitting each subset of records to its assigned processing element; and sorting, at the two or more processing elements, the two or more subsets of records to two or more candidate leaves of a decision tree. The output from horizontally parallelizing is converted into input for vertically parallelizing the training data. The training data is vertically parallelized across the two or more processing elements. The decision tree is grown based at least in part on the horizontally parallelizing, the converting, and the vertically parallelizing.
摘要翻译：在一个实施例中，计算机实现的方法包括接收包括多个记录的训练数据，每个记录具有多个属性。训练数据在两个或多个处理元件之间水平并行化。这种水平并行化包括将训练数据分成两个或更多个记录子集; 将每个记录子集分配给所述两个或多个处理元件的相应处理元件; 将每个记录子集传送到其分配的处理元件; 并且在所述两个或更多个处理元素处将所述两个或多个记录子集分类到决策树的两个或更多个候选叶。水平并行化的输出被转换为用于垂直并行化训练数据的输入。训练数据跨越两个或多个处理元件垂直并行化。决策树至少部分地基于水平并行化，转换和垂直并行化生长。

36. 发明申请

US20170061318A1 SCALABLE STREAMING DECISION TREE LEARNING 审中-公开
公开(公告)号：US20170061318A1
公开(公告)日：2017-03-02
申请号：US14833397
申请日：2015-08-24
申请人： International Business Machines Corporation
发明人： Wei Shan Dong , Peng Gao , Guo Qiang Hu , Cheng Sheng LI , Xu Liang Li , Chun Yang Ma , Zhi Wang , Xin Zhang
IPC分类号： G06N99/00
摘要： In one embodiment, a computer-implemented method includes receiving training data including a plurality of records, each record having a plurality of attributes. The training data is horizontally parallelized across two or more processing elements. This horizontal parallelizing includes dividing the training data into two or more subsets of records; assigning each subset of records to a corresponding processing element of the two or more processing elements; transmitting each subset of records to its assigned processing element; and sorting, at the two or more processing elements, the two or more subsets of records to two or more candidate leaves of a decision tree. The output from horizontally parallelizing is converted into input for vertically parallelizing the training data. The training data is vertically parallelized across the two or more processing elements. The decision tree is grown based at least in part on the horizontally parallelizing, the converting, and the vertically parallelizing.

37. 发明授权

US09537914B1 Vehicle domain multi-level parallel buffering and context-based streaming data pre-processing system 有权
标题翻译：车载多级并行缓冲和基于上下文的流数据预处理系统
公开(公告)号：US09537914B1
公开(公告)日：2017-01-03
申请号：US14955218
申请日：2015-12-01
申请人： International Business Machines Corporation
发明人： Wei Shan Dong , Ning Duan , Peng Gao , Chang Sheng Li , Chun Yang Ma , Xin Zhang , Jun Zhu
IPC分类号： G06F15/16 , H04L29/06 , H04L12/861
CPC分类号： H04L65/4069 , G06F9/4881 , G08G1/0112 , H04L67/12
摘要： 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.
摘要翻译：车载域多级并行缓冲和基于上下文的流数据预处理系统包括第一数据处理级和第二数据处理级。第一数据处理级包括被配置为缓冲从多个车辆输出的多个原始数据流提供的数据的第一级缓冲器。第二数据处理级包括电子任务队列字典（TQD）模块和多个第二级数据处理缓冲器。 TQD模块被配置为响应于接收从第一级缓冲器输出的串行数据流而创建多个任务。 TQD模块还被配置为将每个任务分配给相应的二级缓冲器，并且将串行数据流分离成基于该任务传送到特定二级缓冲器的单独数据值，以便生成多级并行上下文缓冲操作。

38. 发明授权

US09494694B1 Method and apparatus of road location inference for moving object 有权
标题翻译：运动物体道路位置推理方法与装置
公开(公告)号：US09494694B1
公开(公告)日：2016-11-15
申请号：US14963409
申请日：2015-12-09
申请人： International Business Machines Corporation
发明人： Wei Shan Dong , Ning Duan , Peng Gao , Chun Yang Ma , Zhi Hu Wang , Xin Zhang
IPC分类号： G01S19/42 , G01S19/43 , G01S19/52
CPC分类号： G01S19/50 , G01C21/30 , G01S19/39
摘要： A method and apparatus of location sequence inferences for moving objects traveling along a path. The method and apparatus primarily concerns determining the location of a moving vehicle on a roadway in a roadway network. The inputs to the system include: raw GPS tracking sequence with timestamp, trajectory of the moving object inferred by map matching, accurate speed sequence from a reliable device, e.g. OBD (On-Board Diagnostics is an automotive term referring to a vehicle's self-diagnostic and reporting capability), historical map matching results and historical locations sequence inference results. The output of the system is a sequence of more accurate location (on road segments) sequences than raw GPS locations and map matching results.
摘要翻译：一种用于沿着路径行进的移动物体的位置序列推断的方法和装置。该方法和设备主要涉及确定移动车辆在道路网中的道路上的位置。系统的输入包括：具有时间戳的原始GPS跟踪序列，通过地图匹配推断的移动物体的轨迹，来自可靠设备的准确速度序列，例如。 OBD（车载诊断是汽车术语，指车辆的自我诊断和报告功能），历史地图匹配结果和历史位置序列推断结果。系统的输出是比原始GPS位置更精确的位置（在路段上）序列的序列，并且映射匹配结果。

39. 发明申请

US20160298973A1 VERIFYING A ROAD NETWORK OF A MAP 有权
公开(公告)号：US20160298973A1
公开(公告)日：2016-10-13
申请号：US15185085
申请日：2016-06-17
申请人： International Business Machines Corporation
发明人： Ning Duan , Peng Gao , Baohua Wang , Xin Zhang
IPC分类号： G01C21/32 , G01C21/34
CPC分类号： G01C21/32 , G01C21/20 , G01C21/26 , G01C21/30 , G01C21/34 , G01C21/3667
摘要： The present disclosure relates to a computer implemented method, a computer program product, and a computer system for verifying the road network of map. An embodiment of the present invention provides a method for verifying a road network of a map. The method comprises: determining, based on locations of a set of points in the map, a trajectory distance of a trajectory between a start point and an end point in the set of points on the map; determining a route distance between the start point and the end point in the road network of the map; and verifying the road network by comparing the trajectory distance and the route distance.

40. 发明申请

US20160033298A1 GENERATING A QUERY INDEX AND QUERYING ON THE BASIS OF THE QUERY INDEX 有权
标题翻译：根据查询索引生成查询索引和查询
公开(公告)号：US20160033298A1
公开(公告)日：2016-02-04
申请号：US14807923
申请日：2015-07-24
申请人： International Business Machines Corporation
发明人： Ning Duan , Peng Gao , Baohua Wang , Feng Juan Wang , Xin Zhang
IPC分类号： G01C21/36 , G08G1/01 , G01C21/34
CPC分类号： G01C21/3691 , G01C21/3415 , G08G1/0112 , G08G1/0125 , G08G1/0133
摘要： A road segment set influenced by an event on the basis of a connected network is identified. The connected network is built on the basis of reachability of a road segment in the road network. Furthermore, each road segment in the road segment set is reachable via the road network from the location of the event, or, in the alternative, the location of the event is reachable via the road network from each road segment in the road segment set. A query index is generated on the basis of the event and the road segment set.
摘要翻译：识别由基于连接网络的事件影响的路段集合。连接网络建立在道路网路段可达性的基础上。此外，路段集合中的每个路段可以通过道路网从事件的位置到达，或者替代地，事件的位置可以经由道路网从道路段集合中的每个路段到达。基于事件和路段集合生成查询索引。

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