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An RDF Data Set Quality Assessment Mechanism for Decentralized systems

Data Intelligence 2020年第4期2卷 529-553页

作者： Li Huang Zhenzhen Liu Fangfang Xu Jinguang Gu Hubei Province Key Laboratory of Intelligent Information Processing and Real-time Industrial System Wuhan University of Science and TechnologyWuhan 430065China College of Computer Science and Technology Wuhan University of Science and TechnologyWuhan 430065China Key Laboratory of Rich-media Knowledge Organization and Service of Digital Publishing Content State Administration of Radio and TelevisionBeijing 100038China

With the rapid growth of the linked data on the Web,the quality assessment of the RDF data set becomes particularly important,especially for the quality and accessibility of the linked *** most cases,RDF data sets are shared online,leading to a high maintenance cost for the quality *** also potentially pollutes Internet *** blockchain technology has shown the potential in many *** the blockchain storage quality assessment results can reduce the centralization of the authority,and the quality assessment results have characteristics such as *** this end,we propose an RDF data quality assessment model in a decentralized environment,pointing out a new dimension of RDF data *** use the blockchain to record the data quality assessment results and design a detailed update strategy for the quality assessment *** have implemented a system DCQA to test and verify the feasibility of the quality assessment *** proposed method can provide users with better cost-effective results when knowledge is independently protected.

关键词： Decentralization Quality assessment Blockchain RDF data set

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A hybrid efficient short-term traffic flow forecast technology

A hybrid efficient short-term traffic flow forecast technolo...

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6th International Conference on Fuzzy systems and Knowledge Discovery, FSKD 2009

作者： Lin, Xin Wang, Xiaoye Xiao, Yingyuan Zhang, Degan Tianjin Key Lab. of Intelligent Computing and Novel Software Technology Tianjin University of Technology Tianjin 300191 China Key Laboratory of Computer Vision and System Ministry of Education Tianjin University of Technology Tianjin 300191 China

ISBN: (纸本)9780769537351

This paper presents a hybrid short-term traffic flow forecast technology. For the uncertainty, the short-term traffic flow forecast is complicated, and the accuracy is not high. This strategy combines the RBF neural network and ant colony clustering algorithm to forecast the traffic flow. It used ant colony clustering algorithm to get the centers of hidden layer neurons. To find the best clustering result, local search is used in ant colony algorithm. The model has strong local generalization abilities and high accuracy. The simulation experiment results illuminate that the application is fairly effective. © 2009 IEEE.

关键词： Forecasting

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Research on multi-dimensional association rules mining in distributed environments based on advanced SQL query

Research on multi-dimensional association rules mining in di...

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6th International Conference on Fuzzy systems and Knowledge Discovery, FSKD 2009

作者： Zhang, Lei Qiao, Mei Zhang, Degan Tianjin Key Lab. of Intelligent Computing and Novel Software Technology Tianjin University of Technology Tianjin 300191 China Key Laboratory of Computer Vision and System Ministry of Education Tianjin University of Technology Tianjin 300191 China

ISBN: (纸本)9780769537351

This paper proposes the MDMA (Multi-dimensional Distributed Mining Association rules) algorithm based on advanced SQL query. The algorithm works on star-style structure networks. It uses CUBE operator in new standard SQL and combines with SQL powerful query function. So there is no need for the proposed algorithm to conduct a great deal of iterations to generate frequent itemsets in the process of mining association rules. Therefore, no matter what the number of the site in the distributed environments and the scale of the local database in the local site is, the algorithm always needs only two times of scanning the database and only three times of network communications to generate all the global frequent itemsets. Consequently, this algorithm has the merits of light network traffic, low time cost, better scalability and more simplicity. © 2009 IEEE.

关键词： Association rules

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The roles of sampling zero dynamics in the discrete-time models for linear and nonlinear systems 33

The roles of sampling zero dynamics in the discrete-time mod...

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第三十三届中国控制会议

作者： LIANG Shan ZENG Cheng MITSUAKI Ishitobi ZHONG Jiaqi College of Automation Chongqing University Key Laboratory of Dependable Service Computing in Cyber Physical Society Ministry of Education Chongqing University Graduate School of Science and Technology Kumamoto University

ISBN: (纸本)9781479947249

It is well-known that the occurrence of sampling zero dynamics is relevant to the problem of discrete-time and sampled-data control for linear and nonlinear continuous-time *** particular,the sampling zero dynamics play also a very important role in the linear and nonlinear discrete-time transfer function and controller *** we explore some worthwhile results on the asymptotic properties of sampling zero dynamics to gain important new insights into the effect of sampling for linear and nonlinear *** results also demonstrate that the discrete-time models have to account,to some extent,for the sampling zero dynamics when considering the discrete dynamics behavior of the real control systems.

关键词： Sampling Zero Dynamics,Discrete-Time Models,Zero-Order Hold

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A novel two-step-deformation active contour with application to facial features extraction

A novel two-step-deformation active contour with application...

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2009 2nd International Congress on Image and Signal Processing, CISP'09

作者： Hua, Zhang Yuanquan, Wang Tianjin Key Lab. of Intelligent Computing and Novel Software Technology Tianjin University of Technology Tianjin 300191 China Key Laboratory of Computer Vision and System Ministry of Education Tianjin University of Technology Tianjin 300191 China

ISBN: (纸本)9781424441310

In allusion to the boundary leaking problem of traditional active contours when used to extract facial features, two kinds of local information are introduced to enhance the weak boundary, then to build new external force for active contours. The prior knowledge of the local shape of the facial features is incorporated into the evolution of active contour. The snake contour in each evolution step just serves as prediction, and then is ruled by the prior local shape;this way, the snake contour deforms via prediction-correction two steps. This two-step-deformation (TSD) snake can utilize the a priori shape of objects effectively. The proposed strategies are evaluated on several images and the experimental results validate the high performance of this TSD snake for facial features segmentation. ©2009 IEEE.

关键词： Deformation

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Top-n recommendation algorithms for cloud data

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Tien Tzu Hsueh Pao/Acta Electronica Sinica 2015年第1期43卷 54-61页

作者： Huang, Zhen-Hua Department of Computer and Technology Tongji University Shanghai200092 China The Key Laboratory of Embedded System and Service Computing Ministry of Education Tongji University Shanghai200092 China

Top-n recommendation technology has recently received a lot of attention in information service community. In this paper, we study the problem of top-n recommendation under the cloud data. Firstly, we propose a multilayer distributed storage architecture(MDSA)which can fit the need of top-n recommendation. Secondly, based on the consideration of reducing the cost of network transmission, we present the data encoding pattern which is based on the MDSA architecture. Lastly, we fast realize top-n recommendation using the map/reduce distributed programming model. For satisfying the realistic requirement, we further present three application variants of top-n recommendation. Massive experiments demonstrate that our approach is efficient and has high overall performance. ©, 2015, Chinese Institute of Electronics. All right reserved.

关键词： MapReduce

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Folk melody generation based on CNN-BiGRU and Self-Attention 4

Folk melody generation based on CNN-BiGRU and Self-Attention

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4th International Conference on Communications, Information system and Computer Engineering, CISCE 2022

作者： Su, Yuping Han, Rong Wu, Xiaojun Zhang, Yumei Li, Yue Key Laboratory of Intelligent Computing and Service Technology for Folk Song Ministry of Culture and Tourism School of Computer Science Shaanxi Normal University Xi'an China

ISBN: (数字)9781665498487

ISBN: (纸本)9781665498487

Using various deep learning networks to generate music is a research hotspot in the field of human intelligence. Due to the limitation of network structure in the existing melody generation models, the quality of melody generation is poor. In this paper, for folk melody, we propose a melody generation network based on CNN-BiGRU and Self-Attention. First, the processed data is input into the CNN module consisting of one-dimensional convolution layer and pooling layer to extract local features. Then, the features extracted by CNN module are constructed as time series and is input into BiGRU network to extract global features. Finally, Self-Attention assigns different weights to the features of BiGRU output to highlight important feature information during note generation. Experimental results show that the prediction accuracy of the proposed model is improved by 3.61 % compared with BiGUR, 5.26% compared with CNN, and 6.53% compared with CNN-BiGRU. Meanwhile, the model presented in this paper also achieves improvement in other evaluation measures. © 2022 IEEE.

关键词： Convolutional neural networks

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An efficient and fast polarity optimization approach for mixed polarity Reed-Muller logic circuits

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Frontiers of Computer Science 2017年第4期11卷 728-742页

作者： Zhenxue HE Limin XIAO Fei GU Tongsheng XIA Shubin SU Zhisheng HUO Rong ZHANG Longbing ZHANG Li RUAN Xiang WANG State Key Laboratory of Software Development Environment Beihang University Beijing 100191 China School of Computer Science and Engineering Beihang University Beijing 100191 China School of Electronic and Information Engineering Beihang University Beijing 100191 China State Key Laboratory of Computer Architecture Institute of Computing Technology Chinese Academy of Sciences Beijing 100190 China National Engineering Research Center for Science & Technology Resources Sharing Service Beijing 100191 China

Although the genetic algorithm has been widely used in the polarity optimization of mixed polarity Reed- Muller （MPRM） logic circuits, few studies have taken into account the polarity conversion sequence. In order to im- prove the efficiency of polarity optimization of MPRM logic circuits, we propose an efficient and fast polarity optimiza- tion approach （FPOA） considering the polarity conversion se- quence. The main idea behind the FPOA is that, firstly, the best polarity conversion sequence of the polarity set wait- ing for evaluation is obtained by using the proposed hybrid genetic algorithm （HGA）; secondly, each of polarity in the polarity set is converted according to the best polarity con- version sequence obtained by HGA. Our proposed FPOA is implemented in C and a comparative analysis has been pre- sented for MCNC benchmark circuits. The experimental re- suits show that for the circuits with more variables, the FPOA is highly effective in improving the efficiency of polarity op- timization of MPRM logic circuits compared with the tradi- tional polarity optimization approach which neglects the po- larity conversion sequence and the improved polarity opti- mization approach with heuristic technique.

关键词： genetic algorithm polarity optimization mixed

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N-Docker: A NVM-HDD Hybrid Docker Storage Framework to Improve Docker Performance 16th

N-Docker: A NVM-HDD Hybrid Docker Storage Framework to Impro...

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16th IFIP WG 10.3 International Conference on Network and Parallel computing, NPC 2019

作者： Gu, Lin Tang, Qizhi Wu, Song Jin, Hai Zhang, Yingxi Shi, Guoqiang Lin, Tingyu Rao, Jia National Engineering Research Center for Big Data Technology and System Services Computing Technology and System Lab Cluster and Grid Computing Lab School of Computer Science and Technology Huazhong University of Science and Technology Wuhan430074 China State Key Laboratory of Intelligent Manufacturing System Technology Beijing100854 China The University of Texas at Arlington ArlingtonTX76019 United States

ISBN: (纸本)9783030307080

Docker has been widely adopted in production environment, but unfortunately deployment and cold-start of container are limited by the low speed of disk. The emerging non-volatile memory (NVM) technology, which has high speed and can store data permanently, brings a new chance to accelerate the deployment and cold-start of container. However, it is expensive to replace the whole hard disk driver (HDD) with NVM. To achieve the fastest deployment and cold-start with lowest cost, we conduct in-depth analysis on the Top-134 images in Docker Hub and obtain two main insights as: (1) the storing latency of layered image has become the bottleneck of container deployment;(2) only a few image layers are required for container cold-start. Based on these two findings, we propose a NVM-HDD hybrid docker storage framework as N-Docker. It can effectively accelerate container cold-start by detecting the bottleneck layers as well as cold-start required layers and storing them into NVM for faster container startup with limited NVM capacity. Experimental results show that N-Docker can accelerate the container deployment by 1.21X and cold-start by 2.96X. Compared to NVM-Docker, which stores all images into NVM, N-Docker achieves the same performance improvements while reducing the usage of NVM by 88.22%. © 2019, IFIP International Federation for Information Processing.

关键词： Containers

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A Lewis acid-catalyzed tandem reaction enabling 2-arylglycerol derivative as a versatile 1,3-biselectrophile for the synthesis of 4H-chromenes and 2-pyridinones

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Chinese Chemical Letters 2023年第9期34卷 147-150页

作者： Shaomin Chen Tianjian Zhang Zhenhua Xu Bo You Minghao Li Yanlong Gu Key Laboratory for Large-Format Battery Materials and System Ministry of EducationHubei Key Laboratory of Material Chemistry and Service FailureSchool of Chemistry and Chemical EngineeringHuazhong University of Science and TechnologyWuhan 430074China School of Chemistry and Chemical Engineering The Key Laboratory for Green Processing of Chemical Engineering of Xinjiang BingtuanShihezi UniversityShihezi 832004China State Key Laboratory for Oxo Synthesis and Selective Oxidation Lanzhou Institute of Chemical PhysicsLanzhou 730000China

Acid-catalyzed tandem reactions were established by employing a novel class of 2-arylglycerol derivative,5-aryl-1,3-dioxan-5-ol,as versatile 1,*** the reactions,5-aryl-1,3-dioxan-5-ol works like atropaldehydes or 2-aryl malondialdehydes,and can react with 2-naphthols andβ-keto amides,allowing the synthesis of 4H-chromenes and *** yields,good functional group tolerance,broad substrate scope and simple reaction operation make this protocol attractive.

关键词： Lewis acid catalysis 2-Arylglycerol derivative 1,3-Biselectrophile Six-membered heterocycles [3+3]cyclization

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