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检索条件"任意字段=10th International Conference on Parallel and Distributed Computing, Applications and Technologies"

共 1765 条记录，以下是1271-1280 订阅

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An Adaptive Audio Watermarking Method Based on Local Audio Feature and Support Vector Regression

An Adaptive Audio Watermarking Method Based on Local Audio F...

引用

ACIS international conference on Software Engineering, Artificial Intelligence, Networking, and parallel/distributed computing (SNPD)

作者： Hong Peng Jun Wang Weixing Wang School of Mathematics & Computer Engineering Xihua University Chengdu Sichuan China School of Electronic Engineering University of Electronic Science and Technology Chengdu Sichuan China School of Electrical Information Engineering Xihua University Chengdu Sichuan China

Based on local audio feature and support vector regression (SVR), an adaptive blind audio watermarking algorithm in wavelet domain is proposed in this paper. the audio signal is partitioned into audio frames, and the watermark is embedded in wavelet domain. For each audio frame, the energy and the maximal peaks of its all sub-bands are extracted as the local features, and SVR is used to model the relationship between the local features and the embedding strength of the audio frame in order to adaptively control the embedding strength of the audio frame. Due to the good learning ability of SVR, the watermark can be correctly extracted under several different attacks. the proposed watermarking method doesn't require the use of the original audio signal. the experimental results show the proposed algorithm is robust to signal processing, such as lossy compression (MP3), filtering, re-sampling and re-quantizing, etc.

关键词： Watermarking Support vector machines Signal processing algorithms Wavelet domain Robustness Support vector machine classification Intelligent networks distributed computing Protection Humans

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An Analysis of Brain Waves Characteristic with Acupuncture Feedback Using MFCC

An Analysis of Brain Waves Characteristic with Acupuncture F...

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ACIS international conference on Software Engineering, Artificial Intelligence, Networking, and parallel/distributed computing (SNPD)

作者： Tae-Gu Kwon Jeong-Hoon Shin Department of Computer Information & Communication Engineering Catholic University of Daegu Gyeongsan Gyeongbuk South Korea

Over the centuries, research about oriental medicine has been used widely to heal many patients had diseases, but has the limitations point such as it is difficult to understand a scientific basis for the effects precisely. Recently, in oriental medicine research parts have been actively to establish the scientific basis for the research centers and the demand for medical has increase more and more. Among these researches, one of oriental medicine therapy treatment, the acupuncture does not have side effect limelight by western medicine's surgery and medication. therefore, in this paper, to solve those problems, we propose an analysis of brain waves MFCC with acupuncture feedback of meridian point. It was quantitative brain wave analysis utilized the BCI technology that it designed for the brain disease care system and analyze brain waves MFCC by acupuncture feedback of meridian point using spectrogram. the quantitative brain wave characteristic analysis utilized BCI technology can show scientific basis for oriental medicine. the brain disease care system using tactile feedback enables to select effective meridian point.

关键词： Mel frequency cepstral coefficient Diseases Medical treatment distributed computing Spectrogram Laser feedback Blood flow Software engineering Artificial intelligence Intelligent networks

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Automatic Source Code Plagiarism Detection

Automatic Source Code Plagiarism Detection

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ACIS international conference on Software Engineering, Artificial Intelligence, Networking, and parallel/distributed computing (SNPD)

作者： Cynthia Kustanto Inggriani Liem School of Electrical Engineering and Informatics Institut Teknologi Bandung Bandung Indonesia

Plagiarism is one form of academic dishonesty, which is often done by students in programming classes. In a large class, detecting plagiarism manually is both difficult and time-consuming, especially due to the numerous modifications of the source code to conceal the *** designed and developed Deimos, a prototype of a source code plagiarism detector, which can be extended to handle other programming languages, simply by implementing new scanners and parsers. Deimos works in two steps: (1) parsing source code and transforming it into tokens, and then (2) comparing each pair of token strings obtained in the first step using Running Karp-Rabin Greedy String Tiling algorithm. Instructor can access Deimos via a web application interface that receives input parameters, triggers a background process, and displays the result. the web interface offers user friendliness while the background process prevents timeout and reduces bandwidth consumption. this approach was chosen since Deimos is intended to be used for processing more than 100 source code. the web application was implemented using PHP, while Java was used to implement the backend application, which is responsible for the background *** test, functional test, and nonfunctional test has been conducted. Detection time is 1 hour for processing 100 samples of beginner's source code taken from real assignment of our programming class where the average length of source code is 150 lines. this code similarity detector could also be used for other pedagogical tools, such as autograder, which checks consistency of source code based on a template or solution.

关键词： Plagiarism Detectors Testing Software engineering Artificial intelligence Intelligent networks distributed computing Informatics Automatic programming parallel programming

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Program Optimization of Array-Intensive SPEC2k Benchmarks on Multithreaded GPU Using CUDA and Brook+

Program Optimization of Array-Intensive SPEC2k Benchmarks on...

引用

international conference on parallel and distributed Systems (ICPADS)

作者： Guibin Wang Tao Tang Xudong Fang Xiaoguang Ren National Laboratory of Parallel and Distributed Processing School of Computer National University of Defense Technology Changsha Hunan China

Graphic Processing Unit (GPU), with many light-weight data-parallel cores, can provide substantial parallel computing power to accelerate several general purpose applications. Both the AMD and NVIDIA corps provide their specific high performance GPUs and software platforms. As the floating-point computing capacity increases continually, the problem of ``memory-wall'' becomes more serious, especially for array-intensive applications. In this paper, we optimize and implement two SPEC2k benchmarks mgrid and swim on multithreaded GPU using CUDA and Brook+. In order to reduce the pressure on off-chip memory, we make use of data locality in multi-level memory hierarchies and hide long memory access latency via double-buffers. To balance inter-thread parallelism and intra-thread locality, we further tune thread granularity for each kernel and empirically study the best equilibrium point for this problem. Flow control instruction can significantly impact the effective instruction throughput. Oriented to this problem, we introduce a diverge elimination technology to convert condition expression into computing operation. through all the optimizations, we gain the speedup of 10×-34× to the CPU implementation on the GPUs of AMD and NVIDIA respectively. Finally, we summarize and compares the GPUs from AMD and NVIDIA in hardware and software.

关键词： parallel processing Application software Graphics Acceleration Software performance Delay Yarn Kernel throughput Central Processing Unit

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Proceedings - 8th international conference on parallel and distributed computing, applications and technologies, PDCAT 2007

Proceedings - 8th International Conference on Parallel and D...

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18th international conference on parallel and distributed computing, applications and technologies, PDCAT 2007

ISBN: (纸本)0769530494

the proceedings contain 79 papers. the topics discussed include: message dissemination under the multicasting communication mode;e-science in the cloud with CARMEN;exploring biocomplexity: new challenges for high performance computing;multiprocessor scheduling for distance constrained task systems;task allocation in distributed embedded systems by genetic programming;distant-based resource placement in product networks;monitoring employees' emails without violating their privacy right;email categorization using multi-stage classification technique;a trap-door method for subscription-based mobile content;improved genetic algorithms and list scheduling techniques for independent task scheduling in distributed systems;a remote memory swapping system for cluster computers;a distributed approach for negotiating resource contributions in dynamic collaboration;and performance evaluation of a novel CMP cache structure for hybrid workloads.

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Tupleware: A distributed Tuple Space for Cluster computing

Tupleware: A Distributed Tuple Space for Cluster Computing

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9th international conference on parallel and distributed computing, applications and technologies

作者： Atkinson, Alistair Eastern Inst Technol Sch Comp Fac Business & Comp Hawkes Bay New Zealand

ISBN: (纸本)9780769534435

this paper presents Tupleware, a cluster middleware which provides a distributed tuple space intended for use by computationally intensive scientific and numerical applications. It aims to add no extra burden to the application programmer due to the distribution of the tuple space, and uses a decentralised approach and intelligent tuple search and retrieval to provide a scalable and efficient execution environment. Tupleware is evaluated using two applications: a modified quicksort and an ocean model, which demonstrates good scalability and a low system overhead.

关键词： Cluster computing

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parallel Approximate Multi-Pattern Matching on Heterogeneous Cluster Systems

Parallel Approximate Multi-Pattern Matching on Heterogeneous...

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9th international conference on parallel and distributed computing, applications and technologies

作者： Zhong, Cheng Fan, Zeng Su, Defu Guangxi Univ Sch Comp & Elect & Informat Nanning 530004 Peoples R China

ISBN: (纸本)9780769534435

For the given multiple patterns and a text string, firstly, a perfect hash function is constructed, the patterns are transformed into the unique pairs of integer values in parallel by the perfect hash function, the corresponding integer values are stored in a global hash table, and a recursion expression for computing hash function value of the signatures of each sub-string of text is also proposed. Secondly based on divisible load principle, a linear programming model for the optimal text distribution strategy is created and a parallel approximate multi-pattern matching algorithm allowing one error is presented on the heterogeneous cluster system which processors have different computing speeds and distinct communication capabilities and different memory sizes by taking into account computation and communication startup time and using the assigned processor distribution order. the experimental results on the cluster system of heterogeneous personal computers show that the presented parallel algorithm is averagely 25% faster than that one using the even text distribution strategy, and it obtains a nearly linear speedup and good scalability.

关键词： Pattern matching Concurrent computing distributed computing Distribution strategy Clustering algorithms Linear programming Application software Computer errors Microcomputers parallel algorithms

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An Experimental Analysis for Memory Usage of GOS Core

An Experimental Analysis for Memory Usage of GOS Core

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9th international conference on parallel and distributed computing, applications and technologies

作者： Lu, Xiaoyi Yue, Qiang Zou, Yongqiang Wang, Xiaoning Chinese Acad Sci Inst Comp Technol Beijing 100190 Peoples R China

ISBN: (纸本)9780769534435

As grid software and grid applications grow in size and complexity, memory usage experiment and analysis have become more and more essential. In this paper, we investigate an Anti-TestCase-based approach to analyze the memory usage of GOS core software, and present a set of Anti-TestCases, which describe predefined memory problems of GOS core. this approach is applied with a set of automated test tools in controlled experiments including basic memory requirements, memory errors and memory usage of GOS core. With the experiment and analysis, we find several memory usage results of GOS core and they are valuable for other systems based on JVM, Tomcat and Axis. We also give some JVM memory configuration suggestions for better performance in the production server.

关键词： Memory management System testing Vehicle crash testing Application software Web services Grid computing Middleware Space technology Java distributed computing

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An Efficient parallel Algorithm for H.264/AVC Encoder

An Efficient Parallel Algorithm for H.264/AVC Encoder

引用

9th international conference on parallel and distributed computing, applications and technologies

作者： Sun, Shuwei Chen, Shuming Natl Univ Def Technol Comp Sch Changsha Hunan Peoples R China

ISBN: (纸本)9780769534435

In this paper, a bit-rate estimation method is proposed, which could improve the performance of the H.264 encoder and avoid the strict data-dependences of mode decision. After that, an efficient parallel algorithm for H.264 encoder with CABAC entropy coding is presented based on the Macro-Block Region Partition (MBRP) parallel method and the bit-rate estimation technique. Simulation results show that, the proposed parallel algorithm could improve the performance of H.264 encoder efficiently while maintaining the similar RD performance as JM 10.2.

关键词： parallel algorithms

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A Survey: Genetic Algorithms and the Fast Evolving World of parallel computing

A Survey: Genetic Algorithms and the Fast Evolving World of ...

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10th IEEE international conference on High Performance computing and Communications

作者： Munawar, Asim Wahib, Mohamed Munetomo, Masaharu Akama, Kiyoshi Hokkaido Univ Grad Sch Info Sci & Tech Sapporo Hokkaido Japan Hokkaido Univ Informat Initiat Ctr Sapporo Hokkaido Japan

ISBN: (纸本)9780769533520

this paper gives a survey about the impact of modern parallel/distributed computing paradigms over parallel Genetic Algorithms (PGAs). Helping the GA community to feel more comfortable with the evolving parallel paradigms, and marking some areas of research for the High-Performance computing (HPC) community is the major inspiration behind this survey. In the modern parallel computing paradigms we have considered only two major areas that have evolved very quickly during the past few years, namely, multicore computing and Grid computing. We discuss the challenges involved, and give potential solutions for these challenges. We also propose a hierarchical PGA suitable for Grid environment with multicore computational resources.

关键词： Surveys

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