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Multi-node Big data VM Platform and Job Submission Portlet

Multi-node Big Data VM Platform and Job Submission Portlet

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international conference on Applied computing and Information Technology/international conference on Computational science and Intelligence (ACIT-CSI)

作者： Chien-Heng Wu Wen-Yi Chang Whey-Fone Tsai Franco Lin Ching-Fang Lee Chao-Tung Yang High Performance Computing and Applications National Applied Research Laboratories Hsinchu Taiwan Cloud Computing and System Integration National Center for High-Performance Computing National Applied Research Laboratories Hsinchu Taiwan Computer Science Department TungHai University Taichung Taiwan

ISBN: (纸本)9781538633038

the present study utilizes VirtualBox virtual environment technology to develop the personal and compact size of multi-node big data VM platform with Spark and Hadoop cluster that can effectively replicate and provides an environment for developers to easily design and implement Spark and Hadoop Map/Reduce programming. By using the multi-node Hadoop VM system, developers can conduct Map/Reduce programing completely the same as that in the real multi-node Hadoop cluster. To demonstrate its capability and applicability, this study performs the benchmark by using the big data VM platform and a physical Multi-Node Hadoop Cluster. Based on the standard WordCount benchmarking, the computing time of the physical multi-node Hadoop cluster is 3.7 times faster than that of VM Hadoop cluster. the benchmark results show that the big data VM platform is an ideal platform for the portal and Map/Reduce programming, Spark programming and testing purposes, and the physical Hadoop cluster is the most appropriate for production runs. In addition, the big data VM platform contains a web portal development module designed to support applications that implement big data computing services for the engineering and science users. Such applications are inherently complex, potentially accessing data from a variety of sources and distributing applications to a variety of clients. this portal development module can act as multiple roles in many projects such as personal portals, small business portals, enterprise portals, educational portal, infrastructure portal, and other types of portals. Finally, the big data VM platform, in term of a big data development platform, is ready for users to download. the first author of this paper would like to give a demonstration for the proposed multi-node big data VM platform.

关键词： Big data Portals Sparks Programming Benchmark testing Microsoft Windows Java

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Depth Recognition in 3D Translucent Stereoscopic Imaging of Medical Volumes by Means of a Glasses-Free 3D Display

Depth Recognition in 3D Translucent Stereoscopic Imaging of ...

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international conference on Applied computing and Information Technology/international conference on Computational science and Intelligence (ACIT-CSI)

作者： Yurina Kitaura Kyoko Hasegawa Yuichi Sakano Roberto Lopez-Gulliver Liang Li Hiroshi Ando Satoshi Tanaka Graduate School of Information Science and Engineering Ritsumeikan University Japan College of Information Science and Engineering Ritsumeikan University Japan CiNet National Institute of Information and Communications Technology Japan

ISBN: (纸本)9781538633038

In many scientific fields including the medical field, we often utilize translucent viewing, that is, see-through viewing, to investigate the inner 3D structures of complex objects. On the other hand, it is known that stereoscopic vision is effective in allowing us to intuitively understand 3D shapes and to realize natural depth feel of visualized scenes. It is expected that the combination of these two visualization techniques, that is, translucent viewing and the stereoscopic vision, namely translucent stereoscopic visualization, should be effective for our easier and intuitive understanding of inner structures of 3D objects. However, the cognitive effects that arise when combining these two techniques have not been fully understood for us until now. In this paper, we investigate the cognitive effects that arise when combining these two techniques of computer visualization. We specially focus on medical volume visualization to investigate influences of the luminance gradient, which is inherent in the stochastic point-based rendering (SPBR) that we proposed recently. We conducted psychophysical experiments in which observers analysed the perceived 3D structure based on translucent stereoscopic visualization. the experiments are executed under the conditions of monocular, binocular viewing and motion parallax. We found that the luminance gradient is effective in the perceived depth magnitude in the translucent stereoscopic viewing of medical volume data.

关键词： three-dimensional displays Stereo image processing Isosurfaces Rendering (computer graphics) Biomedical imaging Surface treatment

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Automatic Classification of Remarks in Werewolf BBS

Automatic Classification of Remarks in Werewolf BBS

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international conference on Applied computing and Information Technology/international conference on Computational science and Intelligence (ACIT-CSI)

作者： Takanori Fukui Keisuke Ando Toshihide Murakami Nobuhiro Ito Kazunori Iwata Graduate School of Business Administration and Computer Science Aichi Institute of Technology Toyota City Aichi Japan Aichi Institute of Technology Toyota City Aichi Japan Faculty of Information Science Aichi Institute of Technology Toyota City Aichi Japan Department of Business Administration Aichi University Nagoya Aichi Japan

ISBN: (纸本)9781538633038

In the recent years, the evolution of artificial intelligence (AI) has influenced the development of human-interactive communication games. the Werewolf game was originally a real-world, face-to-face, indoor game played between a minimum of four players. In this research, we focus on Werewolf BBS, which is a web-based game, based on the real-life Werewolf game. In Werewolf BBS, players can send various messages among themselves, including a wide variety of chat messages and discussions on current affairs. thus, it is challenging for AI to understand the phrases being passed on by players. the aim of this study is to understand the content of the messages being communicated in Werewolf BBS. In this paper, we have introduce an automatic classification method based on machine learning to categorize the phrases into six groups. Previous studies have used unavailable information that must be excluded when introducing AI to the game. thus, we hereby propose a method to classify phrases without additional information using a support vector machine (SVM). SVMs are discriminative classifier models of machine learning. In this paper, an SVM is used as a tool for categorization; it discriminates the different expressions shared by the players into the six groups. the results of an experiment confirm that the messages can be classified without preconditions. this verifies the effectiveness of the present research.

关键词： Games Support vector machines Machine learning Urban areas Protocols Business

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Review on Intelligent Video Streaming Schemes for Cloud computing

Review on Intelligent Video Streaming Schemes for Cloud Comp...

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the 5th Int’l conf. on Literature, Humanities, Education, Business & Corporate Social Responsibilities (LHEBC-17);the 4th Int’l conf. on Innovations in Engineering, Technology, Computers and Industrial Applications (IETCIA-17);the 7th Int’l conf. on Innovations in Chemical, Biological, Environmental and Food sciences (ICBEFS-17);the 4th Int’l conference on Chemical, Materials, Mining and Manufacturing Engineering (CM3E-17);the 7th international conference on Chemistry, Biofuels and Chemical Engineering (CBCE-17);the 5th Int’l conf. on Advances in science, Engineering, Technology and Natural Resources (ICASETNR-17)

作者： Irfan Syamsuddin CAIR Center for Applied ICT Research Dept. of Computer and Networking EngineeringState Polytechnic of Ujung Pandang

Video streaming has emerged as an important tool for business,education,transportation and other *** study acts as a preliminary study on delivering video streaming within a mesh network such as cloud computing *** this situation,bandwidth,jitter and loss of data are still considered as serious issues to be solved with respect to great number of end users with various network characteristics and with a goal to keep the video at appropriate *** intelligent schemes to improve video streaming services have been proposed by researchers through different *** study aims to explore state of the art in intelligent video streaming schemes as a foundation for future applications of video streaming solution that is adaptive with the cloud infrastructure condition.

关键词： Video streaming networking intelligent algorithm survey

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Research on the Safety Accidents Prediction for Smart Laboratory Based on Statistical Analysis

Research on the Safety Accidents Prediction for Smart Labora...

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4th international conference on Applied computing and Information Technology, 3rd international conference on Computational science/Intelligence and Applied Informatics and 1st international conference on Big data, Cloud computing, data science and Engineering, ACIT-CSII-BCD 2016

作者： Li, Ruizhi Gao, Honghao Chu, Danqi Zhang, Kang Xu, Huahu School of Computer Engineering and Science Shanghai University Shanghai China Computing Center Shanghai University Shanghai China Equipment Office Shanghai University Shanghai China Shanghai Shang Da Hai Run Information System Co. Ltd. Shanghai China

ISBN: (纸本)9781509048717

With the development of information technology, the Smart Laboratory is an core research topic of the modern university, which is responsible for the laboratory safety. To this problem, we focus on the human management since many safety accidents are often occurred by improper operations. this paper proposes the concept of security credit, which consists of user characteristic, behavior preference, learning ability, test score, course attendance and accident history. It is an evaluation system to personal security knowledge and skills which can reflect the potential risks of laboratory. thus, the users will be first clustered based on their safety credits. After that, the risk group and the potential group are defined by K-means. the relationship between the learning content and the type of safety accidents is defined. then, the security accidents are predicted according to the situation of the user's learning contents and exam results. Finally, the experiments are carried out based on the datasets supported by Ankai WebSite (SHUAnKai) of Shanghai University, by which the results are demonstrated to the feasibility to the management of Smart Laboratory. © 2016 IEEE.

关键词： Accidents

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ACIT-CSII-BCD 2016 international Program Committee

ACIT-CSII-BCD 2016 International Program Committee

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international conference on Applied computing and Information Technology/international conference on Computational science and Intelligence (ACIT-CSI)

Provides a listing of current committee members and society officers.

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Message from the ACIT 2016 conference Chair

Message from the ACIT 2016 Conference Chair

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international conference on Applied computing and Information Technology/international conference on Computational science and Intelligence (ACIT-CSI)

Presents the introductory welcome message from the conference proceedings. May include the conference officers' congratulations to all involved with the conference event and publication of the proceedings record.

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Message from the CSII conference Chair

Message from the CSII Conference Chair

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international conference on Applied computing and Information Technology/international conference on Computational science and Intelligence (ACIT-CSI)

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Message from the BCD conference Chair

Message from the BCD Conference Chair

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international conference on Applied computing and Information Technology/international conference on Computational science and Intelligence (ACIT-CSI)

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Research on a Visualization Interaction Method

Research on a Visualization Interaction Method

引用

international conference on Applied computing and Information Technology

作者： Lu Jiang Xiaohong Wang Ligu Zhu School of Computer Science Commumication University of China

ISBN: (纸本)9781509048724

In the era of big data, in order to understand the correlation between data with more intuitive and more effective. this paper designed an interactive visualization tool, exploring the overall data through exploring part of the data. Analysis on the function of visualization interactive technology based on baidu map API, echarts and jQuery UI. It described the general structure and the interaction mechanism for concrete application design, and it also discussed the function of interaction, overall structure and design of the visualization modeling process, and further expounded the specific application.

关键词： Interactive technology of Visualization Baidu map API Echarts JQuery UI

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