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2017 3rd international conference on Sport science and Computer science (CCCS 2017)

作者： Tian Xia Shanghai Second Polytechnic University

This paper addresses the issue of Recommendation Systems(RSs) in thin data Scenario. RSs is aimed to provide acceptable, even persuadable purchase suggestions for E-commerce clients. The effectiveness of RSs is the quality of suggestions, concerning accuracy based on user profiles. However, many small business companies and beginning companies are always unable to provide sufficient data for processing. For such thin data scenario, this paper tries to solve this issue by leveraging Support Vector Machine which is efficient in handling sparse matrixes.

关键词： Support Vector Machine SVM Goods recommendation

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international conference on Mathematics: Pure, Applied and Computation

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Journal of Physics: conference Series 2018年第1期974卷

Welcome Message from the conference Chair Bismillahirrohmanirrohiim The honorable Rector of ITS, Keynote Speaker, Director of Research and Community Service, Invited Speakers, Dean Of Faculty Of Mathematics, computing, and data science Head of Mathematics Department Ladies and Gentlemen, Assalamu'alaikum warahmatullahi wabarokatuh On behalf of the ICoMPAC 2017 organizing committee, I am honored and delighted to welcome you to the 3rd international conference on Mathematics; Pure, Applied and Computation (ICoMPAC 2017) at Wyndham Hotel, Surabaya. This year we are so pleased to accept many papers from Indonesia, Malaysia, Japan, Taiwan, Germany, Thailand, Taiwan, USA, Australia and UK. It is a great pleasure to have one keynote speaker and three invited speakers with us in this conference to share their knowledge.

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Analysis and modeling of Resource Management Overhead in Hadoop YARN Clusters

Analysis and modeling of Resource Management Overhead in Had...

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IEEE international conference on Pervasive Intelligence and computing

作者： Janardhanan, P. S. Philip Samuel SunTec Business Solutions Pvt. Ltd Department of Information Technology SOE Cochin University of Science and Technology

ISBN: (纸本)9781538619575

Hadoop clusters are widely used distributed computing framework for big data processing. Yet Another Resource Negotiator (YARN) was introduced in Hadoop 2.0 and it provides container based resource partitioning and allocation to subdivided units of computation. Hadoop YARN in combination with Hadoop Distributed File System (HDFS) possess almost all the characteristics of a distributed operating system. A container consists of Java virtual machines initiated with dedicated allocation of memory and CPU shares. When jobs are split into small tasks and scheduled to run on containers created dynamically on the nodes of a cluster, the resource management overhead will have significant impact on the execution time of applications. This overhead depends on number of component tasks into which the job gets split. The work presented in this paper evaluates the resource management overhead in Hadoop YARN clusters. The results of this work helps users to select appropriate split level of jobs to minimize the overhead and maximize the performance of distributed applications deployed on the cluster. For evaluating the overhead, MapReduce jobs are run with identical parallelism in execution with varying split-sizes of input file having the same size. The resource manager overhead is estimated from the variation in completion time of the application at different split levels. A regression model is developed to estimate the execution time of jobs on a cluster from the size and split-size of the input file.

关键词： Distributed Scheduling Parallel processing Resource Management Modeling Hadoop YARN MapReduce

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Review of the Research Trends and Development Trends of Library science in China in the Past Ten Years

Review of the Research Trends and Development Trends of Libr...

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2017 3rd international conference on Management science and Innovative Education(MSIE 2017)

作者： DONGQING CAI Huazhong University of Science and Technology Library

This paper introduces the basic theory of library science, the construction of information resources, knowledge theory, library information service, digital library and cloud computing technology, and analyzes the hot spots and achievements in the study. Frontier research is related to academic innovation and subject development of library science. Using the general biometrics or knowledge mapping method, we can find hot spots, but we can't find the frontiers directly. To explore the frontiers of library needs a scientific path, this paper proposed 3 kinds of path, emphasis on cutting-edge research must establish problem oriented and must use scientific methods and tools that must go through the process of scientific research.

关键词： data mining students achievement analysis application

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The Impacts of Business Agility on the Context of Cloud computing

The Impacts of Business Agility on the Context of Cloud Comp...

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2017 3rd international conference on Innovation Development of E-commerce and Logistics (ICIDEL 2017)

作者： Yanliang Zhang Rongyuan Ma Xiyu Huang School of Management Engineering Zhengzhou University School of Public Administration Zhengzhou University

The current state of the market demand is changing all the time,the company's external environment has become difficult to predict the market,so it is particularly important to study what companies will do to respond quickly to these changes in this ***-time IT infrastructure support is a commercially successful magic weapon,when the tasks are dealt with,such as high-performance computing,high fluctuations in demand and large-scale data processing,cloud computing services have won the favor of the demanders and heated debate in the industry by its low cost storage,distributed computing power and fast on-demand supply of software and ***,this paper presents the author's point of view:the core value of the enterprise form the cloud computing is its support on business agility,and then makes further analysis and evaluation on business agility based on the COP model.

关键词： Cloud computing Cloud Cervices Business Agility Business Models

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Full-closed Loop Servo Control System of Gear Measuring Centre 3

Full-closed Loop Servo Control System of Gear Measuring Cent...

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3rd international conference on Computer and computing science (COMCOMS)

作者： Yan, Chen Hai Hui, Jin Hui Harbin Univ Sci & Technol Sch Automat Harbin Peoples R China

ISBN: (纸本)9781467396332

Gear is an important industrial component, improve its quality and accuracy is important, so put forward higher request not only to the machining accuracy but also to the test. The design uses ACR9000 motion controller as the control unit. Panasonic A5 driver as four axes servo drive mechanism the servo motor as the implementing agency, the grating ruler And the inductor as position examination, data acquisition card as a data collection part. Micro-computer by VC++ programming as the host control, data processing and interface display, in order to achieve full-closed loop servo control system. On the platform of ACR-VIEW has realized the high or low speed control four axis rocker motion control test head protection control and hard or soft limit control function.

关键词： gear measuring center motion control data collection part full-closed control repeatability

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The Design and Implementation on Distributed System

The Design and Implementation on Distributed System

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2017 3rd international conference on Innovation Development of E-commerce and Logistics (ICIDEL 2017)

作者： Xin Sui Zetian Zhang Yan Zeng Dan Liu Li Li Liu Liu Changchun University of Science and Technology Jilin Provincial Institute of Education Baicheng Ordnance Test Center

The paper achieves the traveling balance control in exploratory behavior by fuzzy logic method,uses the least squares fitting to realize the corner detection and realizes the roadblock detection by designing the Barrier Predictive Function *** paper designs a distributed system based on block storage and electoral computing model which provides high reliability storage and computing *** paper proposes the BUS communication model,achieves the storage and computing node's selection by LSM merging tree and Bully *** real-time ultrasonic roadblock detection information data obtained by Arduino detector is analyzed based on the distributed system and finally,the detection of environmental map is realized.

关键词： Distributed system LSM merging tree Election algorithm roadblock detection Arduino

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Unsupervised Machine Learning Approach for Gene Expression Microarray data Using soft computing Technique 3rd

Unsupervised Machine Learning Approach for Gene Expression M...

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3rd international conference on Advanced computing, Networking, and Informatics (ICACNI)

作者： Rana, Madhurima Vijayeeta, Prachi Kar, Utsav Das, Madhabananda Mishra, B. S. P. KIIT Univ Bhubaneswar Orissa India

ISBN: (纸本)9788132225386;9788132225379

Machine learning is a burgeoning technology used for extractions of knowledge from an ocean of data. It has robust binding with optimization and artificial intelligence that delivers theory, methodologies and application domain to the field of statistics and computer science. Machine learning tasks are broadly classified into two groups namely supervised learning and unsupervised learning. The analysis of the unsupervised data requires thorough computational activities using different clustering algorithms. Microarray gene expression data are taken into consideration for cluster regulating genes from non-regulating genes. In our work optimization technique (Cat Swarm Optimization) is used to minimize the number of cluster by evaluating the Euclidean distance among the centroids. A comparative study is being carried out by clustering the regulating genes before optimization and after optimization. In our work Principal component analysis (PCA) is incorporated for dimensionality reduction of vast dataset to ensure qualitative cluster analysis.

关键词： Gene expression Microarray data Principal component analysis (PCA) Hierarchical clustering (HC) Cat swarm optimization (CSO)

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Research on Structural Video Analysis Platform Based on Cloud computing

Research on Structural Video Analysis Platform Based on Clou...

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2017 3rd international conference on Intelligent Energy and Power Systems(IEPS 2017)

作者： Zuocheng Wang Lixia Xue Yanli Luo The 38th Research Institute of China Electronics Technology Group Corporation School computer and information HeFei University of Technology An Hui Sun Create electronic CO. LTD.

By 2010,the world has already entered the ZB era in which the global data volume roughly doubles every two years,a day of video monitoring data of more than 1500 PB. By intelligent algorithm research and cloud computing technology,video structured analysis platform based on Docker is constructed through video structure key technology research. Key information of vehicles and moving targets in surveillance video being batch extracted by system forms an information retrieval library. The structure of Docker virtual technology and cloud computing platform improves high availability of system resources and achieves high reliability and expansibility of system. In actual applications,the key information in surveillance video can be spotted quickly and accurately,which has been widely used especially in public security and transportation industry,greatly improving efficiency in such industry.

关键词： Intelligent algorithm cloud computing video structure Docker

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Research on the Cooperative Mechanism of Logistics Service in the Innovation of Entity Retail Enterprises

Research on the Cooperative Mechanism of Logistics Service i...

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2017 3rd international conference on Economics,Social science,Arts,Education and Management Engineering(ESSAEME 2017)

作者： Feng Jianjun School of Tianjin University of Technology

In the context of the new generation of information technology represented by Internet,cloud computing and large data,the consumer demand environment and competitive environment faced by the entity retail industry have undergone tremendous *** the same time,physical retail enterprises face greater *** the face of consumers' shopping behavior of fragmented and full channel style,as well as the Internet electricity business more in-depth line layout,the entity retail enterprises need to achieve their own innovation and transformation,change their business model,integration of resources,online to offline collaborative development,optimization enterprise relationship network,improve the quality of logistics services and build a "two-way" value *** is an complementary relationship of interdependence,mutual support and between the innovation transformation and the logistics service of the entity retail *** coordinated development of the two kinds of industry is an inevitable trend,which can better promote the development of the physical retail industry.

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