International Business Machines Corporation

Hasco Vision Technology Co., Ltd

Fan Jing Meng

Jing Min Xu

Lin Y Yang

Jia Qi Li

Tian Wu

Yuk Lung Chan

Lei Yu

Hong Min

Bo Yang

Yuan Wang

Xiao Xun Zhang

Yang Zhao

Chang Li

Jie Zhang

Jian Wang

Chen Feng

Edith H Stern

Xin Zhou

Zon-Yin Shae

Hani Talal Jamjoom

Ajay Arvind Apte

Mark Edward Podlaseck

Ying Huang

Yu Zhang

Peng Hui Jiang

Qi Cheng Li

Ying Liu

Cheng Fang Wang

Mark N Wegman

Jun Su

Harigovind Venkatraj Ramasamy

He Zhu

Xiao Xi Liu

Nianjun Zhou

Hiroki Nakano

Amith Singhee

William V Da Palma

Shi Lei Zhang

Elliot Karl Kolodner

Dong Sheng Li

Li Jun Mei

Wenhui Sang

Zi Xiao Zhu

Pei Ni Liu

Peng Chen

Zhi Shuai Han

Pu Jin

Yun-Wu Huang

Jiayuan Chen

Shikun Dong

Michael Montinarelli

Zi Yu Zhu

Han Wang

Girish Bhimrao Chafle

Shun Xiang Yang

Yi Min Wang

Daniel J Williams

Joseph Paul Wigglesworth

Kamal Kumar Bhattacharya

Feiquan Li

Xuejun Zhuo

Jia Wei Yang

Xue Jun Zhuo

Lin Luo

Guo Qiang Hu

Yi-Min Chee

Matt Richard Hogstrom

Saeed Reza Bagheri

Xiaolan Zhang

Vadakkedathu Thomas Rajan

Hai Shan Wu

Naga A Ayachitula

Junmei Qu

Guoqiang Hu

Christopher Charles Young

Dharmashankar Subramanian

Takayuki Kushida

Kuan Feng

Clay Edwin Williams

David Scott Wenk

Heng Xu

Kristiann J Schultz

Saravanan Krishnan

Sandhya Kapoor

HuaFang Tan

Sandhya Narayan

Ting Xue

Meng Yan

Pengfei Chen

Rahamim Katan

Vini Kanvar

Tong Tm Jia

Peide Zhong

Abhishek Dokania

Zhuo Su

Dian Qi

Ruo Yi Liu

Feng Wang

Zhengnan Liu

An optical lens, including a light incident portion and a light emergent portion, wherein a first single-directional alignment surface () is formed on the light incident portion; a second single-directional alignment surface () is formed on the light emergent portion; the alignment direction of the first single-directional alignment surface () is perpendicular to the alignment direction of the second single-directional alignment surface (); and the first single-directional alignment surface () and the second single-directional alignment surface () jointly form a focal point or a focusing area of the optical lens. In addition, an optical lens group, a vehicle lamp system and a vehicle are further provided. The optical lens can meet the requirement for anisotropy of the illumination light shape of the vehicle lamp, and can form an asymmetrical light shape.

Optical lens, optical lens group, vehicle lamp system, and vehicle

A method, computer system, and a computer program product for application modernization is provided. The present invention may include receiving operation data related to an application. The present invention may include identifying a plurality of entities based on the operation data related to the application. The present invention may include identifying one or more interactions between each of the plurality of entities. The present invention may include determining an energy consumption pattern for the application by analyzing a consumption of energy related to workload. The present invention may include determining a modernization scope for the application based on the energy consumption pattern.

Modernizing application components to reduce energy consumption

A method and system for operation objects discovery from operation data includes performing pattern matching of operation data with patterns in a database. Fields in the operation data are identified as having matching patterns with the database as first potential objects. Data profiling is performed on unmatched fields of the operation data to generate data profiles. The data profiles are field classified and second potential objects are generated. The first potential objects and the second potential objects are de-duplicated, and operation objects are generated.

Method and system for operation objects discovery from operation data

A method, computer system, and a computer program product are provided for dynamic viewing of an operation graph depicting a distributed workload in an Information Technology system. A list may be received as input and may include selected nodes. A sub-graph may be abstracted from a global graph. The sub-graph and the global graph may depict interactions among ops objects of the distributed workload using nodes and edges. First nodes may be removed from the global graph according to the list. Direct edges between remaining nodes from the global graph may be maintained. A first indirect edge may be generated based on the removed first nodes. The first indirect edge may run between a first remaining node and a second remaining node. The sub-graph may be presented removed from the global graph.

Dynamic graphing for managing an IT operation system

Aspects of the invention include computer systems, computer-implemented methods, and computer program products configured to integrate documentation knowledge with log mining data. A non-limiting example computer-implemented method includes determining a message-message relationship based on log message documentation and building a first subgraph based on the message-message relationship. The method further includes receiving a first message log entry having a message identifier and message field data. A second message log entry is correlated with the first message log entry based on at least one of the message identifier and the message field data. A second subgraph is built that includes the first message log entry and the second message log entry. The method includes building a graph that includes the first subgraph and the second subgraph.

Integrating documentation knowledge with log mining for system diagnosis

Embodiments of the invention are directed to annotating a log based on processing log documentation. Aspects include obtaining the data set and obtaining a set of templates, wherein one or more template of the set of templates includes a variable labeled as the data type. Aspects also include annotating the data set based on the set of templates, wherein the annotating includes labeling each value of the variable in the data set with the data type. Aspects further include creating an updated data set by replacing each value of the variable in the data set that is labeled with the data type with a new data value.

Removing data having a data type from a data set

Aspects of the invention include computer systems, computer-implemented methods, and computer program products configured to perform message correlation extraction for mainframe operation. A non-limiting example computer-implemented method includes receiving a first message log entry having a message identifier and message field data. The first message log entry is pre-processed to determine the message identifier and to tokenize the message field data. A second message log entry is identified based on at least one of the message identifier and the tokenized message field data. The method further includes determining that the second message log entry is correlated with the first message log entry and providing an output comprising the message correlation between the first message log entry and the second message log entry.

Message correlation extraction for mainframe operation

Embodiments of the present invention relate to methods, systems, and computer program products for event management. In a method, a plurality of notes that are comprised in a plurality of event records are obtained in a computer system. A plurality of paragraphs that are comprised in the plurality of notes are classified into a plurality of content types based on a content analysis of the plurality of paragraphs. The plurality of notes are classified into a plurality of semantic types based on the plurality of content types and a syntactic parsing to the plurality of notes. A knowledge item is generated for managing an event in the computer system based on a group of notes in the plurality of notes that are classified into the plurality of semantic types. With these embodiments, knowledge items for managing events may be obtained in an easier and more effective way.

Event management in computer system

Embodiments of the invention are directed to annotating a log based on processing log documentation. Aspects include obtaining the log having a plurality of entries. Aspects also include creating a set of log entry templates by processing the log documentation associated with the log, wherein each log entry template includes one or more constants and one or more variables. Aspects further include annotating each of the plurality of entries based on the set of templates, wherein the annotating includes labeling each value of the one or more variables with a variable name.

Annotating a log based on log documentation

Disclosed are PBS-based ADB function adjustment method and an intelligent vehicle light module therefor. A light source system and a light control element constitute an intelligent illumination light control system. One part of light rays emitted by the intelligent illumination light control system penetrate through a PBS to form an illumination light shape, and the other part of the light rays emitted by the intelligent illumination light control system are reflected by the PBS in a direction opposite to a photosensitive chip integrated circuit. Ambient light enters an imaging lens group in a direction opposite to an illumination light path, and one part of the ambient light is reflected by the PBS to the photosensitive chip integrated circuit to form an information source for dynamic control of the light control system.

PBS-based ADB function adjustment method and intelligent vehicle light module therefor

A computer-implemented method, system, and non-transitory machine readable medium for a graph-based analysis for an Information Technology (IT) operations includes generating a temporal graph by extracting one or more of operation objects, relations and attributes from operation data of workloads distributed across a plurality of levels of the IT operation within a predetermined time window. Anomalies are detected from the extracted operation data and annotating corresponding objects in the graph. A directional impact between corresponding objects on the temporal graph is determined, and the temporal graph is refined based on the determined directional impact. Accessible paths in the temporal graph indicating error propagation are searched, and potential causes for the detected anomalies in the temporal graph are identified. A list of the potential causes of the anomalies is generated, and a root cause ranked for each of the corresponding objects in the temporal graph.

Method and system for graph-based problem diagnosis and root cause analysis for IT operation

According to an aspect, a method includes searching for a correlated log identifier in a correlation database based on detecting a metrics-based anomaly. The method also includes providing, in a problem diagnosis, related log information associated with the correlated log identifier based on locating one or more log entries including the correlated log identifier in a same time window as the metrics-based anomaly. The method further includes searching for a correlated metric in the correlation database based on detecting a log-based anomaly and providing, in the problem diagnosis, related metric information associated with the correlated metric based on locating one or more metrics records including the correlated metric in the same time window as the log-based anomaly.

Correlation-based multi-source problem diagnosis

A computer-implemented method is presented for automatically generating alerting rules. The method includes identifying, via offline analytics, abnormal patterns and normal patterns from history logs based on machine learning, statistical analysis and deep learning, the history logs stored in a history log database, automatically generating the alerting rules based on the identified abnormal and normal patterns, and transmitting the alerting rules to an alerting engine for evaluation. The method further includes receiving a plurality of online log messages from a plurality of computing devices connected to a network, augmenting the plurality of online log messages, and extracting information from the plurality of augmented online log messages to be provided to the alerting engine, the alerting engine configured to approve and enforce the alerting rules automatically generated by the offline analytics processing.

Tool-specific alerting rules based on abnormal and normal patterns obtained from history logs

Techniques include collecting current logs from distributed sources, selecting a group of the current logs that are from a related source of the distributed sources, and generating a feature vector using the group of the current logs. A current status model is created for the feature vector using the group of the current logs. One or more anomalies are determined in the group of the current logs based on a difference between the current status model and a reference status model, the reference status model being based on history logs.

Log-based status modeling and problem diagnosis for distributed applications

Techniques include generating a log sequence for new logs that have been received, searching a log sequence database for the log sequence having been generated, and determining that the log sequence is anomalous in response to not finding an identical log sequence in the log sequence database. In response to the log sequence not being found in the log sequence database, the log sequence is compared to a graph of historical log sequences to find a closest sequence path to one or more historical log sequences. An anomaly of the log sequence is diagnosed based on an occurrence at which the log sequence deviates from the closest sequence path of the one or more historical log sequences.

Graph-based log sequence anomaly detection and problem diagnosis

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Beijing, China

Fan Jing Meng