Emc IP Holding Company LLC

Beijing Boe Optoelectronics Technology Co., Ltd.

Boe Technology Group Co., Ltd.

Emc Corporation

Comcast Cable Communications, LLC

Beijing University of Posts and Telecommunications

China Banknote Printing and Minting Corporation

Beijing Shida Bocheng Technology Co., Ltd

Beijing Stomatology Hospital, Capital Medical University

Beijing Sh Bio-tech Corporation

Cnooc Gas & Power Group

Yu Cao

Xiaoyan Guo

Sanping Li

Kenneth Durazzo

Junping Zhao

Zhe Dong

Simon Tao

Jun Tao

Accela Yilong Zhao

Ricky Yuxi Sun

Stephen J Todd

Layne Lin Peng

Haisheng Zhao

Fenghao Zhang

Tao Chen

Kai Chen

Jing Yang

John T Cardente

Qianjie Zhong

Hua Wang

Wei Quan

Fan Yang

Xin Li

Kun Wang

Qiang Wang

Li Xiao

Chao Zhang

Bing Liu

Yi Liu

Rui Chen

Zhilong Peng

Ziye Yang

Feng Pan

Qiyan Chen

Dong Xiang

Chunsheng Fang

Jidong Chen

Liang Tian

Lintao Wan

Jinsong Wang

Xiaoguang Pei

Xiaowei Li

Huadong Ma

Ang Li

Jie Bao

Tao Song

Baoyao Zhou

Hui Liu

Vivian Wenwen Gao

Jieming Di

Shamail Tahir

Devanjan Sarkar

Demetrios Fanourgiakis

Min Zhu

Grace Yan Cui

Yuxi Sun

Yifan Zhang

Zuze Wu

Xinyu Li

Xiaohu Quan

Ce Li

Jing Tian

Haitao Ma

Huiyuan Fu

Caixia Li

Songling Wang

Wenjing Lu

Cong Lin

Cang Dai

Lijun Huang

Mingzhao Li

Ting Liang

Qihong Gan

Yabo Su

Lifeng Gao

Qiaomu Shen

Mengying Li

Lihong Li

Jingchao Hu

Jianjin Bi

Yilin Xie

Wenqiang An

Nan Xing

Jianhong Wu

Haiping Feng

Yonghao Liu

Bob Bo Zhang

Dongyu An

Yihu Wang

Steven Ming Li

Yujie Ren

Jianmin Chen

Ruofei Ma

Weizhi You

Junling Zhao

Dengkui Zhang

Zhaohu Wen

A method for evaluating performance of a natural gas analysis system includes obtaining components of a natural gas analysis system as well as the maximum allowable error and the maximum allowable deviation of a calorific value of each of the components. The method includes determining components and uncertainties of a standard gas mixture; obtaining a final peak area of each of the components in each group of standard gas mixture. The method includes obtaining calibration functions of the natural gas analysis system and analytical functions of respective components. The method includes obtaining an uncertainty and a calorific value uncertainty of each of the components. The method includes judging whether the evaluation result from the natural gas analysis system to be evaluated is qualified, and providing a performance evaluation conclusion for the natural gas analysis system.

Performance evaluation method for natural gas analysis system

Systems, apparatuses, and methods are described for generating unique identifiers. Identifiers may be organized or grouped by different topics. Identifiers may be requested, generated, stored as groups, and may be allocated from those groups based on requests for identifiers to improve the efficiency of one or more computing devices or systems. The size of each group of identifiers may be adjusted.

Generating unique identifiers

A first set of values for a set of metrics is obtained. A given metric of the set of metrics monitors a given component of a set of components of a computing system. The first set of values is obtained during a period of expected behavior of the computing system. One or more correlations are determined between values of the first set of values to establish one or more expected correlations between values of two or more metrics. A second set of values for the set of metrics is obtained. A determination is made as to whether values of the second set of values maintain the one or more expected correlations determined based on the first set of values.

System monitoring with metrics correlation for data center

A synergist for a water-base drilling fluid and a preparation method therefor, a water-base drilling fluid and an application thereof, and belongs to the field of drilling fluid technologies. The synergist is prepared from raw materials comprising the following parts by weight: 15&#x2dc;25 parts of sodium styrene sulfonate, 8&#x2dc;15 parts of allyl trimethyl ammonium chloride, 2&#x2dc;8 parts of didodecyldimethylammonium bromide, 1&#x2dc;5 parts of n-octyl triethoxysilane, 1&#x2dc;5 parts of propyltriethoxysilane, 1&#x2dc;5 parts of disodium lauryl sulfosuccinate, 10&#x2dc;20 parts of nano silica, 8&#x2dc;15 parts of paraffin, and the like.

Synergist for water-based drilling fluid and preparation method therefor, water-based drilling fluid and application thereof

Embodiments of the present disclosure provide a method and apparatus for document recommendation by obtaining a plurality of first data for a source recommendation task from activities related to a source user using a plurality of first documents; obtaining a plurality of second data for a target recommendation task from activities related to a target user using a plurality of second documents; performing the target recommendation task based on the plurality of first data, the plurality of second data, and knowledge transferred from the source recommendation task to obtain a target recommendation model; and conducting document recommendation to the target user using the target recommendation model.

Document recommendation

Embodiments of the present disclosure provide a method and apparatus for determining a cause of performance degradation of a storage system. The method comprises: monitoring performance of the storage system according to a predetermined policy; generating a performance degradation event from a result of the monitoring based on system performance baseline; in response to performance degradation event, obtaining information about the performance degradation; and offline analyzing the information to determine the cause of the performance degradation. Compared with the prior art, embodiments of the present disclosure can manage the system performance degradation effectively and continuously to minimize running costs and enable current performance profiling tools in the manner of insertion.

Method and device for determining causes of performance degradation for storage systems

Embodiments of the present disclosure relate to a method an apparatus and a computer program product for constructing a scalable storage device by constructing the scalable storage device by combining a plurality of modularized building blocks; wherein each modularized building block in the plurality of modularized building blocks comprises a magnetic disk enclosure; and at least one modularized building block in the plurality of modularized building blocks comprises a storage processor, the storage processor comprising an input output processing unit; forming a cluster using the input output processing unit in the at least one modularized building block; and processing, using the cluster, an input or output (I/O) request from a host and metadata service.

Constructing a scalable storage device, and scaled storage device

A method for processing data includes receiving an adjustment request for adjusting a number of consumer instances from a first number to a second number, and determining a migration overhead for adjusting a first distribution of states associated with the first number of consumer instances to a second distribution of the states associated with the second number of consumer instances, wherein the states are intermediate results of processing the data and the migration overhead includes a latency and a bandwidth shortage incurred for migrating the states. Based on the determined migration overhead, the states are migrated between the first number of consumer instances and the second number of consumer instances, and thereafter the data is processed based on the second distribution of the states at the second number of consumer instances.

Method and system for processing data

Embodiments of the present disclosure provide a method and device for storage management. The method comprises: receiving from a host a storage creating request which specifies a target capacity expected by the host creating for the host a first group of logical units having the target capacity; associating the first croup of logical units with physical storage for use by the host; and creating for the host a second group of logical units having a first additional capacity, the second group of logical units being unassociated with the physical storage.

Method and device for storage management

Embodiments of the present disclosure propose a method and apparatus for optimizing storage of application data. The method comprises obtaining description information for application data from an application; performing storage optimization based on the description information; and performing at least pan of a storage function to be implemented by the back-end storage device, based on the description information before transmitting application data to the back-end storage device. With the method or apparatus according to the embodiments of the present disclosure, an efficient manner of integrating the application and non-volatile storage device is provided to coordinate the application and storage, thereby improving efficiency and expanding capability.

Method and apparatus for optimizing data storage based on application

Embodiments of the present disclosure provide a method and apparatus for video surveillance. The method comprises: receiving a video data transmission request from a mobile device; registering the mobile device as a temporary surveillance device of the video surveillance system in response to the video data transmission request; establishing a wireless connection with the mobile device, receiving video data from the mobile device via the wireless connection; and processing and storing the video data. The methods or apparatuses of the present disclosure enables a mobile device to temporarily join in a video monitoring system as needed so as to supplement and reinforce the existing video monitoring systems, e.g., enhancing the coverage and/or precision of the video surveillance systems.

Method and apparatus for video surveillance

A method, device, and computer program product for fingerprint based status detection in a distributed processing system is provided. The method comprises: generating and sending, at a root node, an initial fingerprint based on the output message ID to be sent; at a middle node, generating and sending an updated fingerprint based on a received input message ID, an output message ID to be sent and a received fingerprint; sending, at the leaf node, a final updated fingerprint to a tracking task point; and obtaining, at the tracking task point, status information based on the final updated fingerprint. As the method does not generate traffic at each node but only generates tracking traffic at leaf nodes, the approach according to the present disclosure reduces tracking overhead significantly while guaranteeing the reliability of data processing.

Method and device for fingerprint based status detection in a distributed processing system

The present disclosure provides a method and apparatus for storing data. The method comprises: extracting metric information and metadata associated with the metric information from time series data, the metric information including a time value and a numerical value at the time value; and staling the metric information in an object storage device and the metadata in a database. As compared with the prior art, the present disclosure provides a flexible storage design to guarantee extensibility of storage capacity and meanwhile support fast data retrieving.

Method and apparatus for storing data

The present disclosure provides a method and apparatus for database search, by grouping data entries based on join conditions between the data entries as set in search conditions; and executing the search based on the grouping of the data entries, and can efficiently and effectively resolve the issues that are common to the existing MapReduce query processing systems, thereby being particularly suitable for big dataset analytics in a large cluster system.

Database search

Embodiments of the present invention provide an end-to-end lightweight method and apparatus for license plate recognition. The method comprises: obtaining an image to be recognized; obtaining a number of a license plate in the image to be recognized and position coordinates of the license plate in the image to be recognized on the basis of the image to be recognized and a pre-trained target license plate recognition model, wherein the target license plate recognition model comprises a target feature extraction network, a target region candidate localization network, a target super-resolution generation network and a target recurrent neural network. Because in this solution, once an image to be recognized is input into the target license plate recognition model, the target license plate recognition model can output the license plate number and position coordinates of the license plate in the image to be recognized, one realizes an end-to-end model. The model has relatively strong robustness, and it can detect and recognize pictures taken under different camera angles. Moreover, computation variables such as image features can be reused without repeated computations, the model takes up less RAM and the speed of license plate recognition is greatly improved.

End-to-end lightweight method and apparatus for license plate recognition

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Beijing, China

Yu Cao