STREAM

作品数：831被引量：1077H指数：13
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Online Nonstop Task Management for Storm-Based Distributed Stream Processing Engines
《Journal of Computer Science & Technology》2024年第1期116-138,共23页张洲 金培权 谢希科 王晓亮 刘睿诚 万寿红 
The work was supported by the National Natural Science Foundation of China under Grant Nos.62072419 and 61672479.
Most distributed stream processing engines(DSPEs)do not support online task management and cannot adapt to time-varying data flows.Recently,some studies have proposed online task deployment algorithms to solve this pr...
关键词：distributed stream processing engine(DSPE) Apache Storm online task migration online task deployment 
6D Object Pose Estimation in Cluttered Scenes from RGB Images被引量：1
《Journal of Computer Science & Technology》2022年第3期719-730,共12页Xiao-Long Yang Xiao-Hong Jia Yuan Liang Lu-Bin Fan 
the National Key Research and Development Program of China under Grant No.2021YFB1715900;the National Natural Science Foundation of China under Grant Nos.12022117 and 61802406;the Beijing Natural Science Foundation under Grant No.Z190004;the Beijing Advanced Discipline Fund under Grant No.115200S001;Alibaba Group through Alibaba Innovative Research Program.
We propose a feature-fusion network for pose estimation directly from RGB images without any depth information in this study.First,we introduce a two-stream architecture consisting of segmentation and regression strea...
关键词：two-stream network 6D pose estimation fusion feature 
Two-Stream Temporal Convolutional Networks for Skeleton-Based Human Action Recognition被引量：3
《Journal of Computer Science & Technology》2020年第3期538-550,共13页Jin-Gong Jia Yuan-Feng Zhou Xing-Wei Hao Feng Li Christian Desrosiers Cai-Ming Zhang 
The work was supported by the National Natural Science Foundation(NSFC)-Zhejiang Joint Fund of the Integration of Informatization and Industrialization of China under Grant Nos.U1909210 and U1609218;the National Natural Science Foundation of China under Grant No.61772312;the Key Research and Development Project of Shandong Province of China under Grant No.2017GGX10110.
With the growing popularity of somatosensory interaction devices,human action recognition is becoming attractive in many application scenarios.Skeleton-based action recognition is effective because the skeleton can re...
关键词：SKELETON action recognition temporal convolutional network(TCN) vector feature representation neural network 
Semi-Supervised Classification of Data Streams by BIRCH Ensemble and Local Structure Mapping被引量：2
《Journal of Computer Science & Technology》2020年第2期295-304,共10页Yi-Min Wen Shuai Liu 
This work was supported by the National Natural Science Foundation of China under Grant No.61866007;the Natural Science Foundation of Guangxi Zhuang Autonomous Region of China under Grant No.2018GXNSFDA138006;Humanities and Social Sciences Research Projects of the Ministry of Education of China under Grant No.17JDGC022.
Many researchers have applied clustering to handle semi-supervised classification of data streams with concept drifts.However,the generalization ability for each specific concept cannot be steadily improved,and the co...
关键词：SEMI-SUPERVISED classification clustering data STREAM concept DRIFT 
A United Framework for Large-Scale Resource Description Framework Stream Processing
《Journal of Computer Science & Technology》2019年第4期762-774,共13页Hong Fang Bo Zhao Xiao-Wang Zhang Xuan-Xing Yang 
the National Key Research and Development Program of China under Grant No.2017YFC0908401;the National Natural Science Foundation of China under Grant No.61672377;the program of Peiyang Young Scholars of China under Grant No.2019XRX-0032.
Resource description framework(RDF)stream is useful to model spatio-temporal data.In this paper,we propose a framework for large-scale RDF stream processing,LRSP,to process general continuous queries over large-scale ...
关键词：resource description framework(RDF)stream continuous query UNITED FRAMEWORK STREAM PROCESSING LARGE-SCALE RDF STREAM processing(LRSP) 
A Task Allocation Method for Stream Processing with Recovery Latency Constraint
《Journal of Computer Science & Technology》2018年第6期1125-1139,共15页Hong-Liang Li Jie Wu Zhen Jiang Xiang Li Xiao-Hui Wei 
This work is supported by the National Key Research and Development Program of China under Grant No. 2017YFC1502306, the National Natural Science Foundation of China under Grant No. 61602205, the China Scholarship Council, and the National Science Foundation of the U.S. under Grant Nos. CNS 1629746, CNS 1564128, CNS 149860, CNS 1461932, CNS 1460971, CNS 1439672, CNS 1301774, and ECCS 1231461.
Stream processing applications continuously process large amounts of online streaming data in real time or nearreal time. They have strict latency constraints. However, the continuous processing makes them vulnerable ...
关键词：STREAM processing task allocation FAULT-TOLERANCE UPSTREAM backup  RECOVERY LATENCY 
Minimizing Resource Cost for Camera Stream Scheduling in Video Data Center
《Journal of Computer Science & Technology》2017年第3期555-570,共16页Yi-Hong Gao Hua-Dong Ma Wu Liu 
The research is supported by the National Natural Science Foundation of China-Guangdong Joint Fund under Grant No. U1501254, the National Natural Science Foundation of China under Grant No. 61332005, the Funds for Creative Research Groups of China under Grant No. 61421061, the Beijing Training Project for the Leading Talents in Science and Technology under Grant No. ljrc 201502, and the Cosponsored Project of Beijing Committee of Education.
Video surveillance service, which receives live streams from IP cameras and forwards the streams to end users, has become one of the most popular services of video data center. The video data center focuses on minimiz...
关键词：video data center resource scheduling video surveillance as a service multi-camera networking 
Parallel LDPC Decoding on GPUs Using a Stream-Based Computing Approach被引量：2
《Journal of Computer Science & Technology》2009年第5期913-924,共12页Gabriel Falcao Student Member Shinichi Yamagiwa Vitor Silva Leonel Sousa Senior Member 
Supported by the Portuguese Foundation for Science and Technology,through the FEDER program,and also under Grant No.SFRH/BD/37495/2007
Low-Density Parity-Check （LDPC） codes are powerful error correcting codes adopted by recent communication standards. LDPC decoders are based on belief propagation algorithms, which make use of a Tanner graph and ver...
关键词：data-parallel computing graphics processing unit （GPU） Caravela low-density parity-check （LDPC） code error correcting code 
PGG:An Online Pattern Based Approach for Stream Variation Management
《Journal of Computer Science & Technology》2008年第4期497-515,共19页唐绿岸 崔斌 李红燕 苗高杉 杨冬青 周新彪 
National Natural Science Foundation of China under Grant No.60673113.;FUJITSU.
Many database applications require efficient processing of data streams with value variations and fluctuant sampling frequency. The variations typically imply fundamental features of the stream and important domain kn...
关键词：data stream noise reorganization pattern representation variation management 
Multiple-Morphs Adaptive Stream Architecture被引量：3
《Journal of Computer Science & Technology》2005年第5期635-646,共12页Mei Wen Nan Wu Hai-Yan Li Chun-Yuan Zhang 
国家自然科学基金
In modern VLSI technology, hundreds of thousands of arithmetic units fit on a 1cm^2 chip. The challenge is supplying them with instructions and data. Stream architecture is able to solve the problem well. However, the...
关键词：stream architecture stream application stream execution model 
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