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Using OpenDX to Teach the Concept of Visualization Pipeline 19

Using OpenDX to Teach the Concept of Visualization Pipeline

引用

第十五届分布式计算及其应用国际学术研讨会

作者： Anna Perduta Roman Putanowicz Institute for Computational Civil Engineering Cracow University of Technology

ISBN: (纸本)9781509035946

Visualization of experimental data and results of numerical simulations belongs to most basic skills that need to be mastered by students at undergraduate,graduate and postgraduate *** faced with many visualization techniques and available tools,deep understanding of the fundamental concepts,such as visualization pipeline,is the necessary foundation for using data visualization *** article shows how concept of pipeline processing can be explained to students and how the tool such as OpenDX,with its visual programming capabilities,can be used to teach basic visualization concepts and techniques.

关键词： Data visualization Pipeline processing Tools Visualization Graphical user interfaces Solid modeling Pipelines

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Relative Time Synchronization of distributed applications for Software-in-the-loop Simulation 19

Relative Time Synchronization of Distributed Applications fo...

引用

第十五届分布式计算及其应用国际学术研讨会

作者： Sunghee Lee Bueng Il Hwang Kang-Bok Seo Woo Jin Lee School of CSE Kyungpook National University

ISBN: (纸本)9781509035946

As distributed systems such as automotive,medical,manufacturing automation become larger and more complex,it is difficult to test these ***,the synchronization of distributed applications make the testing more *** the Software-in-the-Loop(SiL) simulation,a synchronization method among clock of applications is provided for virtual hardware devices and environment.A typical synchronization technique is that a single global clock synchronizes local clocks of other sites but may make high accuracy but low performance in SiL simulation because synchronization occurs in all nodes when the global clock *** there are some issues of which node should be selected,how much time the global clock drifts when adding new sites,*** the paper,we propose a method of clock synchronization based on relative time to enhance the simulation performance.

关键词： Clocks Synchronization Sensors Conferences Testing Mathematical model Control systems

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Support automation connectivity system for big data applications

Support automation connectivity system for big data applicat...

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international Conference on Inventive computing and Informatics (ICICI)

作者： S. G. Shaila M S M Prasanna L Niveditha A Vadivel Dept. of Computer Science Engineering Dayananda Sagar University Bangalore SRM University Kattankulathur Tamil Nadu IN

ISBN: (纸本)9781538640326

The business information is stored in different source systems. Accessing specific data from different source systems that contain terabytes of information is tedious. The organization's source systems are complex and hence data extraction could be time consuming and labor-intensive. Not all users are allowed to access the production data due to security limitations and performance issues. business leads will not be able to make the right decisions if the available raw data is not presented in the right context and the performance cannot be monitored. There is a need to automate the data extraction process targeting the different data sources and the need of business Intelligence to gather and analyze data, transform it to useful form to gain insight to make decisions. The paper proposes, Support Automation Connectivity approach which addresses these issues using SNPN (Serial and Product Number) Data Extraction system and Store Serve Reporting. Support Automation Connectivity is about tracking the information of the connected Enterprise devices. The intelligent software built into the products sends heartbeat at regular intervals. This helps in supporting the device in terms of failures or software version updates, etc. based on the warranty period. The data is maintained in different cubes. SNPN Data Extraction system allows the business user to analyze the attributes related to connected devices for the given SNPN and report date. This system is triggered by the scheduler at regular intervals to pick up the input files for processing. It performs the data extraction within few seconds even for large data and sends instant notification to the relevant individuals. The file and package execution details can be tracked and appropriate error handling is implemented.

关键词： Data mining business intelligence Task analysis distributed databases Servers Automation

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A study on detection and recovery of speech signal tampering 15

A study on detection and recovery of speech signal tampering

引用

Joint 15th IEEE international Conference on Trust, Security and Privacy in computing and Communications, 10th IEEE international Conference on Big Data science and engineering and 14th IEEE international symposium on Parallel and distributed Processing with applications, IEEE TrustCom/BigDataSE/ISPA 2016

作者： Li, Jian Lu, Wenhuan Zhang, Chen Wei, Jianguo Cao, Xiaochun Dang, Jianwu School of Computer Software Tianjin University Tianjin300072 China State Key Laboratory of Information Security Institute of Information Engineering China Chinese Academy of Sciences Beijing100093 China School of Information Science Japan Advanced Institute of Science and Technology Japan

ISBN: (纸本)9781509032051

In this paper, a watermark scheme for detecting and recovering the tampering of speech signal is proposed. We embed an approximate version of the origin information into the less significant bits (LSBs). When the watermarked signal is tampered, we can localize the tampered area and exclude from the area, recovery the original one from the approximate version. Based the embedded information, we estimate the origin signal by solving a liner equation with Least Square QR-factorization (LSQR) method. The result of an informal listening test shows that 83.7% listening material is intelligible after recovery with 20% part tampered. © 2016 IEEE.

关键词： Recovery

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A topic approach to sentence ordering for multi-document summarization 15

A topic approach to sentence ordering for multi-document sum...

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作者： Liu, Na Xiao, Peng Lu, Ying Tang, Xiao-Jun Wang, Hai-Wen Li, Ming-Xia School of Information Science and Engineering Dalian Polytechnic University Dalian China

ISBN: (纸本)9781509032051

Sentence ordering is different but important for multi-document summarization. In this paper, we propose a topic approach to sentence ordering for generic multi-document summarization. We use LDA model to calculate sentence weight and similarity between sentence and topic. We put these two criteria into two-dimensional coordinate system in order to integrate them. We illustrate the problem of sentence ordering as the maximum vector problem. The selected points which we called summarization-points are those points which are not dominated by any other point. The experiments showed that the proposed algorithm achieved better performance compared the other state-of-the-art algorithms on DUC2002corpus. © 2016 IEEE.

关键词： sentence ordering multi-document summarization LDA

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26 PFLOPS Stencil Computations for Atmospheric Modeling on Sunway TaihuLight

26 PFLOPS Stencil Computations for Atmospheric Modeling on S...

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international symposium on Parallel and distributed Processing (IPDPS)

作者： Yulong Ao Chao Yang Xinliang Wang Wei Xue Haohuan Fu Fangfang Liu Lin Gan Ping Xu Wenjing Ma University of Chinese Academy of Sciences China Chinese Academy of Sciences Institute of Software and State Key Laboratory of Computer Science China MOE Key Lab for Earth System Modeling. and Center for Earth System Science Tsinghua University China National Supercomputing Center in Wuxi Institute of Software Chinese Academy of Sciences Beijing CN

Stencil computation arises from a broad set of scientific and engineering applications and often plays a critical role in the performance of extreme-scale simulations. Due to the memory bound nature, it is a challenging task to optimize stencil computation kernels on modern supercomputers with relatively high computing throughput whilst relatively low data-moving capability. This work serves as a demonstration on the details of the algorithms, implementations and optimizations of a real-world stencil computation in 3D nonhydrostatic atmospheric modeling on the newly announced Sunway TaihuLight supercomputer. At the algorithm level, we present a computation-communication overlapping technique to reduce the inter-process communication overhead, a locality aware blocking method to fully exploit on-chip parallelism with enhanced data locality, and a collaborative data accessing scheme for sharing data among different threads. In addition, a variety of effective hardware specific implementation and optimization strategies on both the process and thread-level, from the fine-grained data management to the data layout transformation, are developed to further improve the performance. Our experiments demonstrate that a single-process many-core speedup of as high as 170x can be achieved by using the proposed algorithm and optimization strategies. The code scales well to millions of cores in terms of strong scalability. And for the weak-scaling tests, the code can scale in a nearly ideal way to the full system scale of more than 10 million cores, sustaining 25.96 PFLOPS in double precision, which is 20% of the peak performance.

关键词： Atmospheric modeling Instruction sets Supercomputers Optimization Three-dimensional displays Computer architecture Mathematical model

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A Software Licenses Aware Job Scheduling and Management Approach on Multiclusters 19

A Software Licenses Aware Job Scheduling and Management Appr...

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第十五届分布式计算及其应用国际学术研讨会

作者： Zhengxiong Hou Jianhua Gu Xingshe Zhou Tianhai Zhao Center for High Performance Computing School of Computer Science and Technology NWPU

ISBN: (纸本)9781509035946

For commercial software in scientific and engineering computing,software licenses are needed when running them in high performance computing ***,there is a constraint for the number of software *** the traditional software licenses management approaches,there is a prominent *** jobs will fail immediately without available software ***,the existing job scheduling mechanisms mainly focus on hardware resources *** this paper,we propose a software licenses aware job scheduling and management approach on multi-clusters,which is a common scenario for current high performance computing *** on floating licenses and scheduling policies,the submitted jobs from multi-clusters requiring software licenses will be uniformly queued and scheduled.A co-scheduling mechanism is provided for the software licenses and hardware *** software and limited licenses can be shared and used efficiently on *** implemented and evaluated the approach in a real multi-clusters computing environment.

关键词： Licenses Software Monitoring Servers Scheduling Processor scheduling Resource management

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Online credit card fraud detection: A hybrid framework with big data technologies 15

Online credit card fraud detection: A hybrid framework with ...

引用

作者： Dai, You Yan, Jin Tang, Xiaoxin Zhao, Han Guo, Minyi Department of Computer Science and Engineering Shanghai Jiao Tong University China School of Computer Science and Technology Huazhong University of Science and Technology China

ISBN: (纸本)9781509032051

In this paper, we focus on designing an online credit card fraud detection framework with big data technologies, by which we want to achieve three major goals: 1) the ability to fuse multiple detection models to improve accuracy, 2) the ability to process large amount of data and 3) the ability to do the detection in real time. To accomplish that, we propose a general workflow, which satisfies most design ideas of current credit card fraud detection systems. We further implement the workflow with a new framework which consists of four layers: distributed storage layer, batch training layer, key-value sharing layer and streaming detection layer. With the four layers, we are able to support massive trading data storage, fast detection model training, quick model data sharing and real-time online fraud detection, respectively. We implement it with latest big data technologies like Hadoop, Spark, Storm, HBase, etc. A prototype is implemented and tested with a synthetic dataset, which shows great potentials of achieving the above goals. © 2016 IEEE.

关键词： Big data

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P wave detection and delineation based on distances transform 15

P wave detection and delineation based on distances transfor...

引用

作者： Wang, Yan Wang, Lirong Chen, Xiaohe Zhu, Wenliang School of Electronic and Information Engineering Soochow University China Suzhou Institute of Biomedical Engineering and Technology Chinese Academy of Sciences China

ISBN: (纸本)9781509032051

Automatic detection of P-wave in an electrocardiogram(ECG) is a crucial task in diagnosis of the presence of arrhythmias. In this paper, we proposed an improved method based on distance transform. Distance transform is an efficient method for locating P-wave critical points, corresponding to subjective judgment of cardiologists. Auxiliary algorithms have also been introduced to improve the precision of distance transform, such as recognition of horizontal segments and rising or declining segment, then, feedback comes to narrow or widen the P wave searching area for the need of distance transform. The method is validated through a QT database. The experiments show that our method provides good results. The average error of P-wave onsets, ends and P-wave location is 8.5ms,10.4ms, and 7.6ms, and P wave boundary point detection accuracy is 98.9%, 97.8% respectively. © 2016 IEEE.

关键词： Electrocardiograms

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A new virtualized environment for application deployment based on docker and AWS

引用

international Conference on Information science and applications, ICISA 2016

作者： Tihfon, Gemoh Maliva Kim, Jinsul Kim, Kuinam J. School of Electronics and Computer Engineering Chonnam National University Gwangju500-757 Korea Republic of Convergence Security Department Kyonggi University SuwonGyonggi-Do Korea Republic of

ISBN: (纸本)9789811005565

The setup environment and deployment of distributed applications is a human intensive and highly complex process that poses significant challenges. Nowadays many applications are developed in the cloud and existing applications are migrated to the cloud because of the promising advantages of cloud computing. The very core of cloud computing is virtualization. In this paper, we will look at application deployment with Docker. Docker is a lightweight containerization technology that has gained widespread popularity in recent years. It uses a host of the Linux kernel’s features such as namespaces and croup’s to sandbox processes into configurable virtual environments. Presenting two common serious challenging scenarios in the software development environment, we propose a multi-task PaaS cloud infrastructure using Docker and AWS services for application isolation/optimization and rapid deployment of distributed applications. © Springer science+business Media Singapore 2016.

关键词： Cloud computing

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