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International Conference on Fuzzy Systems and Knowledge Discovery (FSKD)

作者： XuePing Zhang YanXia Zhu Nan Hua Key Laboratory of Spatial Data Mining & Information Sharing of Ministry of Education Fuzhou China College of Information Science and Engineering Henan University of Technology Zhengzhou China Technology Department Zhengzhou Super HW Network Technology Company Limited Zhengzhou China

Based on FP-tree algorithm, this article introduced the method of multi-thread processing and a Multi-Threaded Paralleled frequent item-set mining Algorithm - MTPA was proposed. It has been applied to an enterprise human resources management system. Through the experiments of paralleled mining by using increasing multi-thread processing, it has been proved that MTPA which on the condition of multi-core processors can improve the efficiency of frequent item-set mining effectively.

关键词： data mining Algorithm design and analysis Itemsets Educational institutions Resource management

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Common Caching Replacement Algorithm for Video-on-Demand System

Common Caching Replacement Algorithm for Video-on-Demand Sys...

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International Conference on Web Information Systems and Mining (WISM)

作者： Fengbin Li Jun Li Zhong Hu Jun Zhou Key Laboratory of Network Communication System and Control CAS University of Science and Technology Hefei Anhui China

As the streaming media files growing larger and larger in size, it inevitably aggravates the network congestion and user perceive latency, to settle problem lots of caching algorithms have been applied in video-on-demand (VOD)system. However, different algorithm is correspondence to an unique caching replacement policy, which limits its applications and the effects are not very satisfied, so in VOD aspect it is necessary to find a common replacement algorithm. In this paper, we propose a Common Caching Replacement Algorithm (CCRA). As a unification replacement algorithm, it sufficiently considers the recent visit and segment size, effectively solves the disk I/O bandwidth bottleneck limitation and improves byte hit rate. We respectively replace the previous caching replacement policy in Uniform segmentation algorithm and Exponential segmentation algorithm with CCRA. From the experimental comparison, Uniform segmentation with CCRA improves almost 5\% in disk reduce ratio, and exponential segmentation with CCRA increases near 8\% in byte hit ratio.

关键词： Streaming media Bandwidth Delay Spine Information systems Laboratories Size control Communication system control Control systems IP networks

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VCR Functionalities with Adaptive Rate Adjustment in Streaming Media Server

VCR Functionalities with Adaptive Rate Adjustment in Streami...

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International Conference on Computer and Information technology (CIT)

作者： Zhou Jun Li Jun Zhu Ming Key Laboratory of Network Communication System and Control CAS University of Science and Technology Hefei Anhui China

Due to the decoding dependency of MPEG coded frames, lots of dependent frames are transmitted at video cassette recording (VCR) operations, thus more computation resource, hard disk and network bandwidth are consumed on streaming media server, and higher decoding complexity on Set-Top Box (STB). To tackle this problem, our scheme of supporting VCR functionalities with adaptive rate adjustment in streaming media server is proposed. The scheme includes a general VCR functionalities supporting method called GVFR which selects frames based on Group of Pictures (GOP) and uses Variable Frame Rate (VFR). Selecting frames based on GOP can efficiently eliminate the transmission of dependent frames, and the realization of VFR leads to optional transmission rate. Then an intelligent decision mode is introduced which automatically picks the appropriate GVFR strategies with suitable transmission rate based on the congestion status of the link. The experimental results demonstrate that GVFR can greatly decrease the transmission rate of fast forward/backward, to 22% of that of normal playback at least, and by varying GVFR strategies, VCR with optional transmission rate is achieved.

关键词： Video recording Streaming media Decoding network servers Bandwidth Videoconference Video on demand Computer networks US Department of Transportation Information technology

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Improvement of MODIS 8-day LAI/FPAR product with temporal filters to generate high quality time-series product

Improvement of MODIS 8-day LAI/FPAR product with temporal fi...

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2009 Joint Urban Remote Sensing Event

作者： Huifang, Zhang Runhe, Shi Honglin, Zhong Peiqing, Qu Juan, Sun Wenpeng, Lin Su, Li Key Lab. of Geographic Information Science Ministry of Education East China Normal University Shanghai China Key Laboratory of Ecosystem Network Observation and Modeling IGSNRR CAS Beijing China Key Lab. of Urban Ecology and Environment Restoration Shanghai Normal University Shanghai China Computer College Beijing Technology and Business University Beijing China

ISBN: (纸本)9781424434619

Numerous studies have reported that the timeseries terrestrial parameters such as the Normalized Difference Vegetation Index (NDVI), Leaf Area of Index (LAI), Fraction of Absorbed Photosynthetic Active Radiation (FPAR), derived from NOAA/AVHRR, SPOT/VEGETATION, TERRA or AQUA/MODIS, have played significant roles in researching the global environment, terrestrial ecosystems and related ecological researches. However, the remotely sensed signals are interfered severely by atmospheric conditions especially clouds and such noises exists in the time-series products as well. Therefore, to obtain a high quality time-series of terrestrial parameter is a necessary step before further studies. At present several methods have been applied to reduce the noise to construct a fine time-series of NDVI, but few studies concerning the other key terrestrial parameters, such as LAI, FPAR etc. In this paper, after comparing general methods in literatures, we designed a new method based on the Savitzky-Golay filter, which was applied to improve the quality of MODIS 8-Day LAI/FPAR Product to generate timeseries of LAI and FPAR with high quality. Our validation results indicate that more smooth and realistic time-series curves of LAI/FPAR can be obtained by using this new method, which exemplify the dynamic change of forests, crop or plants and key input parameters in modeling the complex land surface processing. ©2009 IEEE.

关键词： Time series

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Privacy Parallel Algorithm for Mining Association Rules and its Application in HRM

Privacy Parallel Algorithm for Mining Association Rules and ...

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International Symposium on Computational Intelligence and Design, ISCID

Parallel association rules mining has been improved the efficiency of data mining, and meanwhile concerned with the privacy preserving problem. A simple and effective method of parallel association rules mining which based on privacy protection----parallel association rules mining algorithm with privacy preserving (PARMA-P) has been introduced in this paper. It could achieve effective concealment of frequent item-set and then the association rules by the means of using imported hash assignment strategy in frequent item sets of FP sub tree could be protected. It has been used in HRM of an enterprise and experiments show that the algorithm can be simple and effective in protection of data privacy.

关键词： Parallel algorithms data mining Association rules Human resource management Protection data privacy Space technology Information science Educational technology Computational intelligence

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Study on real water-saving in agricultural region based on improved SWAT model

Study on real water-saving in agricultural region based on i...

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International Symposium of HAI Basin Integrated Water and Environment Management: River Basin Research and Planning Approach

作者： Yu, Lei Wang, Zhonggen Cao, Shengjun Haihe River Water Conservancy Commission Tianjin 300170 China Key Laboratory of Water Cycle and Related Land Surface Processes IGSNRR CAS Beijing100101 China Tianjin Lonwin Network Science and Technology Development Corporation Tianjin300181 China

ISBN: (纸本)9780980605716

The water problem in north China is serious. Agriculture water consumption is very high that led to a serious drop in water table. So research on real water saving in the region is very important. The study improved swat2000 model and applied it on the county level real water saving simulation : Use the improved SWAT model ,with 2000-2006 meteorologic data and remote sensing evapotranspiration(ET), the Feixiang distributed model is developed based on the soil map, water conservancy and land use from the remote sensing of Feixiang county, Heibei province. Crop pattern change, irrigation scheme change and irrigation water source change scenarios is simulated and real water saving of different scenarios is analyzed. The result of the research can offer reference to the agriculture for real water saving management. © 2009 by Aussino Academic Publishing House.

关键词： Remote sensing

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Hierarchical clustering analysis from genomic dataset

Hierarchical clustering analysis from genomic dataset

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2005 IEEE/WIC/ACM International Conference on Intelligent Agent technology

作者： Wei, Yin Qing, Yang Shaoyuan, Yao Yong, Shi CAS Research Center on Data Technology and Knowledge Economy Graduate University Chinese Academy of Sciences Beijing 100080 China Institute of Software Chinese Academy of Science Beijing 100080 China State Key Laboratory of Reproductive Biology Chinese Academy of Science Beijing 100080 China

In this paper, we use the method proposed by Eisen to analyze the genomic data collected from the State key laboratory of Reproductive Biology, Chinese Academy of sciences. The analysis shows that the clustering metho... 详细信息

ISBN: (纸本)0769524168

关键词： data structures

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Hierarchical clustering analysis from genomic dataset

Hierarchical clustering analysis from genomic dataset

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IEEE/WIC/ACM International Conference on Intelligent Agent technology (IAT)

作者： Wei Yin Qing Yang Shaoyuan Yao CAS Research Center on Data Technology & Knowledge Economy and Graduate University of Chinese Academy of Sciences Beijing China Chinese Academy of Science Institute of Software Beijing China Chinese Academy of Science State Key Laboratory of Reproductive Biology Beijing China

关键词： data analysis Genomics Bioinformatics Content addressable storage Laboratories Biology Clustering methods Large-scale systems Floods data mining

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Edge-Adaptive Dynamic Scalable Convolution for Efficient Remote Mobile Pathology Analysis

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ACM Transactions on Autonomous and Adaptive Systems 1000年

作者： Peng Xiao Dajiang Chen Zhen Qin Mingsheng Cao Ruidong Chen Network and Data Security Key Laboratory of Sichuan Province University of Electronic Science and Technology of China China School of Computer Science & Engineering University of Electronic Science and Technology of China China

With the emergence of edge computing, there’s a growing need for advanced technologies capable of real-time, efficient processing of complex data on edge devices, particularly in mobile health systems handling pathological images. On edge computing devices, the lightweighting of models and reduction of computational requirements not only save resources but also increase inference speed. Although many lightweight models and methods have been proposed in recent years, they still face many common challenges. This paper introduces a novel convolution operation, Dynamic Scalable Convolution (DSC), which optimizes computational resources and accelerates inference on edge computing devices. DSC is shown to outperform traditional convolution methods in terms of parameter efficiency, computational speed, and overall performance, through comparative analyses in computer vision tasks like image classification and semantic segmentation. Experimental results demonstrate the significant potential of DSC in enhancing deep neural networks, particularly for edge computing applications in smart devices and remote healthcare, where it addresses the challenge of limited resources by reducing computational demands and improving inference speed. By integrating advanced convolution technology and edge computing applications, DSC offers a promising approach to support the rapidly developing mobile health field, especially in enhancing remote healthcare delivery through mobile multimedia communication.

关键词： Internet of things edge computing dynamic scalable convolution deep learning lightweight

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