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

IPC: G06F17/30 ,  G06K9/62 ,  G06F17/16 ,  G06Q10/06 ,  G10L15/18

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.

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

IPC: G06F17/30 ,  G06K9/62

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.

公开(公告)号：US20180357568A1

公开(公告)日：2018-12-13

申请号：US15842561

申请日：2017-12-14

Applicant: International Business Machines Corporation

Inventor： Jing Ding ,  Jing Li ,  Ji Jiang Song ,  Jian Wang

IPC: G06N99/00 ,  G06N5/04 ,  G06F17/30

CPC classification number: G06N99/005 ,  G06F17/30312 ,  G06F17/30371 ,  G06N5/047

Abstract: The subject disclosure relates to employing grouping and selection components to facilitate a grouping of failure data associated with oil and gas exploration equipment into one or more equipment failure type groups. In an example, a method comprises grouping, by a system operatively coupled to a processor, training data of a set of equipment failure data into one or more failure type groups based on one or more determined failure criteria, wherein the one or more failure type groups represent equipment failure classifications associated with energy exploration processes; and selecting, by the system, first ungrouped data from the set of equipment failure data based on a level of similarity between the first ungrouped data and the training data.

公开(公告)号：US20180292812A1

公开(公告)日：2018-10-11

申请号：US15806591

申请日：2017-11-08

Applicant: International Business Machines Corporation

Inventor： Robert J. Baseman ,  Jayant R. Kalagnanam ,  Young M. Lee ,  Jie Ma ,  Jian Wang ,  Guan Qun Zhang

IPC: G05B19/418 ,  G05B13/02

CPC classification number: G05B19/4188 ,  G05B13/0265 ,  G05B19/41875 ,  G05B2219/32186 ,  G05B2219/33034 ,  G05B2219/42001 ,  Y02P90/02

Abstract: Controlling product production in multi-stage manufacturing process automatically generates by machine learning causal relationships between the processing conditions and the product quality based on product genealogy data and product quality data. Real time sensor data from sensors coupled to processing units in a manufacturing facility implementing the multi-stage manufacturing process are received, and control rules are instantiated based on the real time sensor data. An instantiated control rule firing causes an actuator to automatically set a processing variable to a set point specified in the control rule.

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

IPC: B60H1/00 ,  B60N2/44 ,  B60N2/56

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.

公开(公告)号：US09891950B2

公开(公告)日：2018-02-13

申请号：US15415910

申请日：2017-01-26

Applicant: International Business Machines Corporation

Inventor： Ning Duan ,  Liya Fan ,  He Yuan Huang ,  Jian Wang ,  Zhi Hu Wang

IPC: G06F9/46 ,  G06F9/48 ,  G06F9/50

CPC classification number: G06F9/5083 ,  G06F9/4881 ,  G06F9/4887 ,  G06F2209/5019

Abstract: A method for scheduling MapReduce tasks includes receiving a set of task statistics corresponding to task execution within a MapReduce job, estimating a completion time for a set of tasks to be executed to provide an estimated completion time, calculating a soft decision point based on a convergence of a workload distribution corresponding to a set of executed tasks, calculating a hard decision point based on the estimated completion time for the set of tasks to be executed, determining a selected decision point based on the soft decision point and the hard decision point, and scheduling upcoming tasks for execution based on the selected decision point. The method may also include estimating a map task completion time and estimating a shuffle operation completion time. A computer program product and computer system corresponding to the method are also disclosed.

公开(公告)号：US20170171143A1

公开(公告)日：2017-06-15

申请号：US14968137

申请日：2015-12-14

Applicant: International Business Machines Corporation

Inventor： Yi Ge ,  Jian Wang ,  Qi Yu ,  Guo T. Zhao ,  Yu C. Zhou

IPC: H04L12/58 ,  H04L29/08

CPC classification number: H04L51/36 ,  H04L67/12 ,  H04L69/22

Abstract: A method of message adaptation in the Internet of Things (IoT) includes receiving a message containing data collected by the plurality of sensors, identifying a message type, looking up a message descriptor according to the message type, looking up a message template matching the message type and outputting the message with the matched message template for content-based processing. In one embodiment, the method includes identifying the message is a text message, parsing the message according to message type and message descriptor, and creating a sequence of key-value pairs for the text message. In one embodiment the method includes determining that there is no matched or valid matched message template and parsing the message according to the message descriptor to generate and store a message template including the message type, a message item list and a message item position list and attaching the message template to the message.

公开(公告)号：US09521218B1

公开(公告)日：2016-12-13

申请号：US15002421

申请日：2016-01-21

Applicant: International Business Machines Corporation

Inventor： Liya Fan ,  Yong Deng Hu ,  He Yuan Huang ,  Chen Tian ,  Jian Wang ,  Zhe Yan ,  Ke Zhang

IPC: G06F15/16 ,  H04L29/06 ,  H04L29/08 ,  H03M7/30 ,  H03M7/40

CPC classification number: H03M7/40 ,  H03M7/3059 ,  H03M7/607 ,  H04L67/1097

Abstract: A method for optimizing migration efficiency of a data file over network is provided. Specifically, a total time of compression time of the data file, transfer time of the data file over the network, and decompression time of the data file, is minimized by adaptively selecting compression methods to compress each data block of the data file. For selecting a compression method for a data block, information entropy of the data block is analyzed, and a real status of computing and system resources is considered. Further, trade-off among the resource usage, compassion speed and compression ratio is made to calculate an optimized transmission solution over the network for each data block of the data file.

Abstract translation: 提供了一种通过网络优化数据文件的迁移效率的方法。 具体地，通过自适应地选择压缩方法来压缩数据文件的每个数据块，使数据文件的压缩时间的总时间，数据文件在网络上的传送时间和数据文件的解压缩时间被最小化。 为了选择数据块的压缩方法，分析数据块的信息熵，并考虑计算和系统资源的真实状态。 此外，在资源使用，同情速度和压缩比之间进行权衡，以对数据文件的每个数据块计算网络上优化的传输解决方案。

公开(公告)号：US09411645B1

公开(公告)日：2016-08-09

申请号：US14982296

申请日：2015-12-29

Applicant: International Business Machines Corporation

Inventor： Ning Duan ,  Liya Fan ,  He Yuan Huang ,  Jian Wang ,  Zhi Hu Wang

IPC: G06F9/46 ,  G06F9/48 ,  G06F9/50

CPC classification number: G06F9/5083 ,  G06F9/4881 ,  G06F9/4887 ,  G06F2209/5019

Abstract: A method for scheduling MapReduce tasks includes receiving a set of task statistics corresponding to task execution within a MapReduce job, estimating a completion time for a set of tasks to be executed to provide an estimated completion time, calculating a soft decision point based on a convergence of a workload distribution corresponding to a set of executed tasks, calculating a hard decision point based on the estimated completion time for the set of tasks to be executed, determining a selected decision point based on the soft decision point and the hard decision point, and scheduling upcoming tasks for execution based on the selected decision point. The method may also include estimating a map task completion time and estimating a shuffle operation completion time. A computer program product and computer system corresponding to the method are also disclosed.

Abstract translation: 一种用于调度MapReduce任务的方法包括：接收与MapReduce作业内的任务执行相对应的一组任务统计信息，估计要执行的一组任务的完成时间以提供估计的完成时间，基于收敛计算软判决点 对应于一组执行任务的工作负载分布，基于所述待执行的任务集合的估计完成时间计算硬判决点，基于所述软判决点和所述硬判决点确定所选择的判定点;以及 根据所选择的决策点安排即将到来的执行任务。 该方法还可以包括估计地图任务完成时间并估计洗牌操作完成时间。 还公开了一种对应于该方法的计算机程序产品和计算机系统。

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

IPC: G06T7/00 ,  G06K9/62 ,  G06K9/52 ,  G01B11/00

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。