International Business Machines Corporation

Sap Se

Sap Ag

Lin Cai

James E Carey

Bin Cao

Di Ling Chen

Bradley L Manning

Xuemin Wang

Ting Li

Ming Yang

Jie He

Yiming Yin

Chenghui Chen

Dong Wen

Hong Tao Liu

Xing Zhao

Jan Teichmann

Andreas Wolber

Jianwei Chen

Xiaoling Zhou

Rajnish Prasad

Yanbing Li

Yubo Lou

Baoguo Zhang

Yi Ming Yin

Li Wu

Xue Gang Ding

A computer-implemented method for failure diagnosis using fault tree can include: receiving a fault tree comprising a node representing a top event, a plurality of nodes representing respective basic events, and one or more logic gates connecting the plurality of nodes representing the respective basic events to the node representing the top event; obtaining reliability parameters corresponding to the basic events; calculating fault tree importance measures corresponding to the basic events; calculating failure impact factors of the top event corresponding to the basic events, wherein the failure impact factors of the top event are products of the corresponding reliability parameters and the corresponding fault tree importance measures; ranking the basic events based on the failure impact factors of the top event; and identifying a most significant contributor to the top event, wherein the most significant contributor is a basic event having the highest failure cause probability of the top event.

Systems and methods for failure diagnosis using fault tree

Systems and processes for identifying a pointer in an image of an analog instrument are provided herein. An instrument contour in the image corresponding to the analog instrument may be identified. A plurality of candidate pointer contours in the image may be identified and screened using one or more geometric property screening techniques including an evaluation of a geometric area, a distance parameter, and/or a gravity center of the plurality of candidate pointer contours. Principal component analysis (PCA) may be performed to select an identified pointer contour from among the reduced plurality of candidate pointer contours. A linear regression model may be applied to pixel points in the contour area of the identified pointer contour and a slope and angle of an associated pointer represented by the identified pointer contour may be determined based on an output of the linear regression model.

Pointer recognition for analog instrument image analysis

The present invention generally relates to system test, and more specifically, related to online system test. In an aspect, a computer-implemented method for online system test is provided. In this method, a test rule for testing the online system is obtained. And a test result from a real user action of the online system based on the test rule will be retrieved. And a test report is generated at least based on the test result from the real user action.

Testing an online system for service oriented architecture (SOA) services

Provided is a method, system, and computer program product for managing tasks in a computing system using a virtual node. A processor may register a virtual node for handling tasks allocated by a scheduling node in a computing system, the computing system comprising the scheduling node and a group of actual computing nodes processing tasks allocated by the scheduling node, and the scheduling node takes the virtual node as an actual computing node. A performance level of the computing system is obtained. Capacity of the virtual node is set based on the obtained performance level, such that the scheduling node allocates tasks to the virtual node based on the capacity of the virtual node. In response to at least one task being allocated by the scheduling node to the virtual node, the at least one task is received by the virtual node.

Task management using a virtual node

Disclosed herein are system, method, and computer program product embodiments for vehicular telematics with virtual-reality monitoring capabilities. An example system may establish a data connection to a plurality of sensors corresponding to at least one component of a vehicle, retrieve status information corresponding to the at least one component of the vehicle, from the plurality of sensors, send the status information retrieved from the plurality of sensors to a data set, receive at least one result of predictive analytics performed with the data set, and generate output via an interface. Other embodiments may additionally place requests for new parts or service based on the at least one result of the predictive analytics. The data set may be a structured database or an unstructured cluster. Big data analytics may use simulations for predictions. Output may leverage virtual reality or augmented reality to improve ease of use and intuitiveness for any role of users.

Big-data driven telematics with AR/VR user interfaces

Aspects of the present disclosure relate to a method, system, and computer program product for generating an encoded visual representation describing a computing node. The method includes identifying one or more first parameters for a first virtual machine hosted by the computing node. The method also includes encoding the one or more first parameters based on a coding reference. The method also includes generating a first dynamically generated encoded visual representation from one or more encoded first parameters.

Communication of configuration using an encoded visual representation

Aspects of the present disclosure relate to a method, system, and computer program product for verifying a parameter on a computing node. The method can include accessing a first dynamically generated encoded visual representation from a computing node. The method can also include identifying one or more parameters of the computing node from the first dynamically generated encoded visual representation. The method can also include determining whether the computing node has a first parameter from the one or more parameters. The method can also include displaying the first parameter in response to the computing node having the first parameter.

Verification of configuration using an encoded visual representation

Techniques are described in which indication of a computer application to be configured for use in a particular business enterprise is received. A mass data run object is identified. The mass data run object defines a computer operation to be performed by the computer application to transform business transaction data as part of a business process. The mass data run object identifies i) selection parameters to select business transaction data to be transformed by the computer operation defined by the mass data run object and ii) instructions, that when executed, perform the computer operation to transform the selected business transaction data. A mass data run object instance corresponding to the identified mass data run object is generated and scheduled for execution.

Automated scheduling of mass data run objects

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Shanghai, China

Lin Cai