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共 660 条记录，以下是351-360 订阅

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Weighted Distance Grey Wolf Optimization with Immigration Operation for Global Optimization Problems 18

Weighted Distance Grey Wolf Optimization with Immigration Op...

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18th IEEE/ACIS international conference on Software Engineering, Artificial Intelligence, Networking and parallel/distributed computing (SNPD)

作者： Jitkongchuen, Duangjai Sukpongthai, Warattha thammano, Arit Dhurakij Pundit Univ Coll Innovat Technol & Engn Bangkok Thailand King Mongkuts Inst Technol Ladkrabang Fac Informat Technol Bangkok Thailand

ISBN: (纸本)9781509055043

the proposed algorithm presents a solution to improve the grey wolf optimizer performance using weighted distance and immigration operation. the weight distance is used for the omega wolves movement is defined from fitness value of each leader (alpha, beta and delta). the traditional grey wolf algorithm has only one pack and has opportunity to trap in local optimum so the wolves in our proposed algorithm have more pack and have migrated between them. When the amount of pack has more than to predefine some pack will be eliminated. the experimental results are evaluated by a comparative with the traditional grey wolf optimizer (GWO) algorithm, particle swarm optimization (PSO) and differential evolution (DE) algorithm on 9 well-known benchmark functions. the experimental results showed that the proposed algorithm is capable of efficiently to solving complex optimization problems.

关键词： Metaheuristic algorithm Grey wolf optimizer algorithm Weighted distance Immigration operation

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parallel computation for luc cryptosystems on distributed memory multiprocessor machine

Parallel computation for luc cryptosystems on distributed me...

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4th iasted international conference on Advances in Computer Science and Technology, ACST 2008

作者： Ali, Zulkarnain Md Othman, Mohamed Said, Mohd Rushdan Muhd Sulaiman, Mohammad Nasir Department of Computer Science Universiti Kebangsaan Malaysia 43600 Bangi Selangor Malaysia

ISBN: (纸本)9780889867307

Cryptosystem based on Lucas Function is known as LUC Cryptosystems. Lucas Function is a special form of second order linear recurrence relation using a large public integer as a modulus. We are sure that, an existing computation technique will suffer a huge computations time and spaces when calculating a very large size of public-key and private-key. Recently, a method for fast LUC Cryptosystems computation on single processor has been proposed. In this paper, we extend the method in parallel on distributed memory multiprocessor machine using message-passing interface. We are generating a special sequence from a given value of public-key and private-key. this special sequence will be used to direct the computation of LUC. We examine the parallelism efficiency of the algorithm by analyze the simulation time and speedup.

关键词： Message passing

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Effectiveness of Evaluation Function and Permutation GA in Multimodal Consecutive Meals Planning 18

Effectiveness of Evaluation Function and Permutation GA in M...

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18th IEEE/ACIS international conference on Software Engineering, Artificial Intelligence, Networking and parallel/distributed computing (SNPD)

作者： Kashima, Tomoko Orito, Yukiko Someya, Hiroshi Kindai Univ Higashiosaka Osaka Japan Hiroshima Univ Hiroshima 7398525 Japan Tokai Univ Tokyo 2591292 Japan

ISBN: (纸本)9781509055043

the consecutive meals planning is a combinatorial optimization problem that determines a meals plan on a long period consisting of consecutive days. A meal is characterized in different characteristics such as food style, ingredient, and cooking method. For the problem, this paper proposes an evaluation function using information entropies on moving intervals. the function measures the appearance order of meal's characteristics on the plan. In addition, we design a specific genotype of a permutation GA and apply it to this problem. In the numerical experiments, we show that the consecutive meals planning employing our function can be viewed as a multimodal problem and then show that our meals plan obtained by the permutation GA is a good solution with large variation of appearance order of meal's characteristics.

关键词： Estimation Field programmable gate arrays OFDM Modulation Filtration Clocks Signal processing algorithms

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Histogram of Accumulated Changing Gradient Orientation (HACGO) for Saliency Navigated Action Recognition 18

Histogram of Accumulated Changing Gradient Orientation (HACG...

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18th IEEE/ACIS international conference on Software Engineering, Artificial Intelligence, Networking and parallel/distributed computing (SNPD)

作者： Aye, Hnin Mya Zaw, Sai Maung Maung Univ Comp Studies Image Proc Lab Mandalay Myanmar Univ Comp Studies Fac Comp Syst & Technol Mandalay Myanmar

ISBN: (纸本)9781509055043

Action recognition has been an active research area in computer vision community during the recent years. However, it is still a challenging task due to the difficulties mainly resulted from the background clutter, illumination changes, large intra-class variation and noise. In this paper, we aim to develop an action recognition approach by navigating focus of attention (action region) with saliency detection and introducing a feature descriptor, namely Histogram of Accumulated Changing Gradient Orientation (HACGO). We firstly detect saliency in each video frame by computing pattern and color distinctness to localize action region. then, we extract appearance and motion features using proposed HACGO, and existing HOG and HOF feature descriptors. Finally, a multi-class SVM classifier is applied to recognize different actions. the experiments were conducted on the standard UCF Sports action dataset. As experimental results, our action recognition approach achieved high recognition accuracy with a new combination of feature descriptors.

关键词： Action Recognition HACGO HOF HOG SVM

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Estimating Body Condition Score of Cows from Images with the Newly Developed Approach 18

Estimating Body Condition Score of Cows from Images with the...

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18th IEEE/ACIS international conference on Software Engineering, Artificial Intelligence, Networking and parallel/distributed computing (SNPD)

作者： Lynn, Nay Chi Kyu, Zin Mar Zin, thi thi Kobayashi, Ikuo Univ Comp Studies Mandalay Myanmar Univ Miyazaki Miyazaki Japan

ISBN: (纸本)9781509055043

the Body Condition Score (BCS) is the level of energy reserves in many species, including dairy cattle. For the exact management on dairy farms, the judgment process of BCS is critically important. In this study, the implementation of newly developed approach to estimate body condition score is proposed. Back view images of the cow were used in this system. the area around the tailhead and left and right hooks are segmented automatically and then classified that region for estimating the body condition score. the three main steps conducted are (1) segmentation of cows' images, (2) extraction of region of interest (ROI) by using the convex hull method, and (3) calculation of parameter using moving average method. To confirm this new approach, back view images of various cow types are used and the experimental results confirm its effectiveness with accurate results.

关键词： Body Condition Score (BCS) region of interest (ROI) convex hull method moving average segmentation

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18th international conference on Principles of distributed systems, OPODIS 2014

18th International Conference on Principles of Distributed S...

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18th international conference on Principles of distributed systems, OPODIS 2014

ISBN: (纸本)9783319144719

the proceedings contain 32 papers. the special focus in this conference is on Principles of distributed systems. the topics include: Verifying the consistency of remote untrusted services with commutative operations;time lower bounds for distributed distance oracles;erasure coded byzantine storage with separate metadata;byzantine replication with high throughput and embedded reconfiguration;a crash-failure-resistant distributed storage system;checkpointing in parallel state-machine replication;strong equivalence relations for iterated models;on the importance of registers for computability;scalable wake-up of multi-channel single hop radio networks;a disruption-resistant MAC layer for multichannel wireless networks;distributed computing by mobile robots;approximation algorithms for the set cover formation by oblivious mobile robots;fast collisionless pattern formation by anonymous, position-aware robots;maintaining a spanning forest in highly dynamic networks;fast and compact distributed verification and self-stabilization of a DFS tree;loosely-stabilizing leader election on arbitrary graphs in population protocols;a parallel mark-split garbage collector based on a lock-free skip-list;practical concurrent unrolled linked lists using lazy synchronization;space- and time-efficient long-lived test-and-set objects and a practical distributed universal construction with unknown participants.

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parallel and distributed Processing of Remote Sensing Data on Large Displays

Parallel and Distributed Processing of Remote Sensing Data o...

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IEEE 18th international conference on parallel and distributed systems (ICPADS)

作者： Lin, Ming-Li Chen, Ming-Da Hsieh, Tung-Ju Chang, Yang-Lang Natl Taipei Univ Technol Dept Comp Sci & Informat Engn Taipei Taiwan Natl Taipei Univ Technol Dept Elect Engn Taipei Taiwan

ISBN: (纸本)9781467345651;9780769549033

A typical LIDAR (Light Detection and Ranging) scan contains hundreds of millions of points. As such, the visualization of LIDAR point clouds poses a significant challenge in data analysis. One solution is to display LIDAR point clouds on a large display wall with an array of LCD monitors. this provides researchers with a high-resolution display environment for looking at and studying large datasets. In this paper, we present a case study that visualizes LIDAR point clouds on a tiled display wall termed HIPerDisplay (Highly Interactive parallelized Display). It has twenty 24-inch LCDs with a total resolution of 46 megapixels. Interaction between the user and the display wall is achieved by using a video camera system that is able to track the position of a hand-held light ball device. A user holds it to manipulate point clouds on HIPerDisplay. Case studies are conducted to study the LIDAR scans of slopes in the Houshanyue mountain areas in Taiwan. Experiments were conducted to examine the advantages of using the HIPerDisplay for point clouds in data post-processing. the experiments assess two tasks for manipulating point cloud data designed to evaluate the efficiency of the interactive devices. To evaluate the efficiency of the system, a group of thirty graduate students participated in the experiment. User surveys were performed to evaluate the efficiency of the system and to discover the users' opinions about using the interactive device in a large display environment. the results showed that the participants preferred to perform LIDAR data operation tasks on a high-resolution large display environment rather than on a single monitor. the results also showed that HIPerDisplay offered superior performance for the processing of large LIDAR datasets.

关键词： point cloud large displays

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A Software Implementation of Speculative Memory 18

A Software Implementation of Speculative Memory

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18th IEEE/ACIS international conference on Software Engineering, Artificial Intelligence, Networking and parallel/distributed computing (SNPD)

作者： Fujisawa, Kohei Nunome, Atsushi Shibayama, Kiyoshi Hirata, Hiroaki Kyoto Inst Technol Grad Sch Informat Sci Kyoto Japan Kyoto Inst Technol Fac Informat & Human Sci Kyoto Japan Kyoto Coll Grad Studies Informat Kyoto Japan

ISBN: (纸本)9781509055043

Many techniques for parallelizing a sequentially coded program have been developed and put to practical use, but there are many cases in which program codes cannot be parallelized because it is impossible to assure that their parallel execution does not violate the data dependencies in the program. To parallelize such programs, we have previously proposed speculative memory (SM). With SM, programmers can specify the parallel and speculative execution of threads explicitly in their programs. the SM system manages the memory data that are speculatively read or written by the threads running in parallel. When the system detects inconsistent memory accesses, it recovers the computational state of the program and restarts the execution. If such inconsistencies are not encountered often, we can expect the total execution time of the program to be shorter. In this paper we present a software implementation of SM (SSM). We have developed an SM library by using POSIX threads. In spite of large overheads that are essentially unavoidable in a software implementation, our SSM system can shorten the execution time of a program that compilers cannot parallelize automatically.

关键词： thread-level speculation (TLS) speculative multithreading (SpMT) parallel architecture multithreaded programming

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Proceedings - 18th Workshop on parallel and distributed simulation, PADS 2004

Proceedings - 18th Workshop on parallel and distributed simu...

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Proceedings - 18th Workshop on parallel and distributed Simulation, PADS 2004

ISBN: (纸本)0769521118

the proceedings contain 23 papers from the conference on the 18th Workshop on parallel and distributed Simulation, PADS 2004. the topics discussed include: Simulation validation using direct execution of wireless ad-hoc routing protocols;detailed OFDM modeling in network simulation of mobile ad-hoc networks;event reconstruction in time warp;just-in-time cloning;towards grid-aware time warp;and the effect of detail on ethernet simulation.

关键词： parallel processing systems

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the Impact of Synchronization in parallel Stochastic Gradient Descent 18th

The Impact of Synchronization in Parallel Stochastic Gradien...

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18th international conference on distributed computing and Intelligent Technology (ICDCIT)

作者： Backstrom, Karl Papatriantafilou, Marina Tsigas, Philippas Chalmers Univ Technol Dept Comp Sci & Engn Gothenburg Sweden

ISBN: (纸本)9783030948764;9783030948757

In this paper, we discuss our and related work in the domain of efficient parallel optimization, using Stochastic Gradient Descent, for fast and stable convergence in prominent machine learning applications. We outline the results in the context of aspects and challenges regarding synchronization, consistency, staleness and parallel-aware adaptiveness, focusing on the impact on the overall convergence.

关键词： Stochastic gradient descent Lock-free Machine Learning

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