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检索条件"任意字段=2018 International Conference on Computer Modeling, Simulation and Algorithm（CMSA2018）"

共 200 条记录，以下是11-20 订阅

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The Statistical Properties of the Probabilistic Distributions Generated by Gamma Statistics

The Statistical Properties of the Probabilistic Distribution...

引用

2018 international conference on computer modeling, simulation and algorithm（cmsa2018）

作者： Oleg V.Chernoyarov AlexANDra V.Salnikova Vladimir I.Kostylev National Research University “Moscow Power Engineering Institute” International Laboratory of Statistics of Stochastic Processes and Quantitative Finance of National Research Tomsk State University Voronezh State Technical University Voronezh State University

We show that hyperexponential and hyper-Erlang distributions reproduce themselves by composition. We find new formulas for probability densities and distribution functions of Gamma statistics sums.

关键词： composition of statistics replicating statistics exponential,Gamma,Erlang distribution

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A Sensor Node Lossless Compression algorithm based on Linear Fitting Residuals Coding 18

A Sensor Node Lossless Compression Algorithm based on Linear...

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10th international conference on computer modeling and simulation (ICCMS)

作者： Ren Xuejun Ren Zhongyuan Engn Univ PAP Xian Shaanxi Peoples R China Northwest Univ China Xian Shaanxi Peoples R China

ISBN: (纸本)9781450363396

According to the theory of linear regression model, this paper designed a sensor data lossless compression algorithm. The algorithm calculates the sensor data's fitting values and fitting residuals, which are input to a content-based entropy coder to perform compression. The algorithm achieves lossless transform by rounding operation, and realizes positive sequence decoding by prediction fitting. The efficient entropy coding is realized by calculating the mean bit number of input data. Compared with the typical lossless compression algorithms, the proposed algorithm indicated better compression ratios with a small computational overhead.

关键词： Wireless Sensor Networks Data Compression Lossless Linear Regression Mode

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A Comparative Study on NoC Transpose Traffic

A Comparative Study on NoC Transpose Traffic

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2018 international conference on computer modeling, simulation and algorithm（cmsa2018）

作者： Minghua Tang Jing Lin School of Internet Finance and Information Engineering Guang Dong University of Finance School of Information Management Shanghai Lixin University of Accounting and Finance

In the research of Network-on-Chip(No C), network performance is evaluated by a lot of simulations. In these simulations, traffic scenarios play an important role. A wide range of traffic scenarios, such as uniform random, transpose, tornado, etc. have been considered. However, there is lack of comparative study of these traffic scenarios. In this paper, simulations are carried out under a wide range of traffic scenarios. The simulation results show that if a routing has good performance under both transpose1 and transpose2 traffics then it will not have poor performance under any other traffic scenario, with high probability.

关键词： NoC routing algorithm traffic scenario

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Linear Array SAR Imaging algorithm Using the Redundant Frame and Truncated SVD Based on Compressed Sensing

Linear Array SAR Imaging Algorithm Using the Redundant Frame...

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7th international conference on computer, Information and Telecommunication Systems (CITS)

作者： Zhao, Yichao Xiong, Boli Quan, Sinong Su, Yi Natl Univ Def Technol Coll Elect Sci Changsha Peoples R China

ISBN: (纸本)9781538645994

For optimizing the linear array SAR (LASAR) system, the non-uniform linear arrays are usually used to reduce the number of array elements required. However, the data acquisition may be irregular sampling, which is impractical for traditional imaging algorithms. In this paper, based on compressed sensing (CS) approach for the non-uniform linear arrays, we proposed an imaging algorithm for the irregular sampling data. The contributions are twofold. Firstly, it employs the redundant frame to provide more samples and achieve a satisfactory resolution. Secondly, in order to decrease the massive calculations, it combines the truncated singular value decomposition (TSVD) and CS algorithm, while the imaging quality would not be contaminated. Both the theory analysis and simulation results are presented to demonstrate the validity of the proposed algorithm.

关键词： linear array SAR (LASAR) redundant frame truncated singular value decomposition (TSVD) compressed sensing (CS)

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A Heuristic algorithm to Compute a Subgraph for TSP Based on Frequency Quadrilaterals 3

A Heuristic Algorithm to Compute a Subgraph for TSP Based on...

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2021 3rd international conference on computer modeling, simulation and algorithm, cmsa 2021

作者： Deng, Qirong Wang, Yong Chen, Liping School of New Energy North China Electric Power University Beijing China School of Information Engineering Tarim University Xinjiang Alar China

A heuristic algorithm was presented to compute certain subgraphs for symmetric traveling salesman problem using frequency quadrilaterals. If we choose a set of frequency quadrilaterals containing an edge to compute the frequency for it, the frequency of an edge contained within the optimal Hamiltonian cycle approaches an extreme value as the city number is big enough. A heuristic algorithm was designed to compute a frequency graph with randomly selected frequency quadrilaterals. A subgraph containing the optimal solution was computed according to a given frequency threshold. The experimental results illustrated that in certain instances for Euclidean TSP with scale above 1000, the number of edges in complete graph is reduced by more than 30 times. Moreover, the bigger the number of frequency quadrilaterals is used, the higher the frequency threshold is and the smaller the number of edges in the subgraphs is kept. © Published under licence by IOP Publishing Ltd.

关键词： Traveling salesman problem

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algorithm-level Approximation for Fast (or not) Embedded Stereovision algorithm 18

Algorithm-level Approximation for Fast (or not) Embedded Ste...

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18th international conference on Embedded computer Systems - Architectures, modeling, and simulation (SAMOS)

作者： Bonnot, Justine Desnos, Karol Menard, Daniel Univ Rennes INSA Rennes CNRS IETRUMR 6164 Rennes France

ISBN: (纸本)9781450364942

Because of the growing concern towards the energy consumption of embedded devices, the quality of an application is now considered as a new tunable parameter during the implementation phase. Approximations are then deliberately introduced to gain performance. Nevertheless, when implementing an approximate computing technique, quality deteriorations may appear. In order to check that the application Quality of Service is still met despite the induced approximations, several metrics can be used. The proposed method introduces an algorithm-level approximate computing method in a stereovision algorithm. The proposed algorithm-level approximation aims at reducing the computational load in a stereo matching algorithm that outputs a depth map from two rectified images. Based on a smart loop perforation technique, this method offers an interesting quality/complexity trade-off. However, when comparing the obtained results to a more basic approximation technique, the results show that the quality/computation time trade-off is strongly dependent on the metric used. Our paper presents the impact of the choice of the quality metric on the results of the proposed approximate computing technique.

关键词： Approximate Computing Stereo Matching Loop Perforation algorithm-level Approximation

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Genetic Fuzzy System in Weapon Control Module of Unmanned Tanks

Genetic Fuzzy System in Weapon Control Module of Unmanned Ta...

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2018 international conference on computer modeling, simulation and algorithm（cmsa2018）

作者： Xinzhu Liu Di Ding Zihuan Yu Zhongshuai Wang Yuhan Dai Jing Huang School of Computer Science and Technology Jilin University Key Laboratory of Symbolic Computation and Knowledge Engineer Jilin University Ministry of Education

The genetic fuzzy system is applied to weapon control module of unmanned tanks. In this paper, the simulation system is built to train the fuzzy rule base of genetic fuzzy system in order to get the optimal fuzzy rule base with training tasks. Testing tasks are used to test the success rate of different missions under the optimal rule base. The fuzzy inference system obtained by the algorithm achieves high success rate in various tasks.

关键词： unmanned tanks genetic fuzzy system fuzzy rule base weapon control module

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Research on Inverse Kinematics algorithm of 6-DOF Industrial Robot Based on RBF-PID 2

Research on Inverse Kinematics Algorithm of 6-DOF Industrial...

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2020 2nd international conference on computer modeling, simulation and algorithm, cmsa 2020

作者： He, Dongkang Shi, Fusheng Tan, Shunxue Deng, Qigui School of Mechanical and Electrical Liuzhou Vocational AndTechnical College Liuzhou China School of Automotive Engineering Liuzhou Vocational and Technical College Liuzhou China

To solve the question of multi value and precision in the process of designing the inverse kinematics controller of 6-DOF Industrial robot, a radial basis function-proportional integral differentiation(RBF-PID) adaptive controller method has been proposed to train the inverse kinematics model of industrial robot. Compared with the traditional RBF neural network, the advantage of RBF-PID adaptive controller was that it had high search efficiency and was not easy to fall into local optimal solution. The simulation results showed that this method could not only overcome the influence of the initial value selection of the traditional RBF neural network learning algorithm on the network performance, but also had a good solution accuracy for the inverse kinematics of the 6-DOF Industrial robot. Compared with the traditional RBF neural network algorithm, the RBF-PID adaptive controller method had improved the performance of overshoot, adjustment time and anti-interference, and solved the problem of solving the multivalued inverse kinematics algorithm. © Published under licence by IOP Publishing Ltd.

关键词： Inverse kinematics

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Scheduling jobs in multi-grid environment 20

Scheduling jobs in multi-grid environment

引用

20th IEEE UKSim-AMSS international conference on Modelling and simulation, UKSim 2018

作者： Roci, Albana Davidrajuh, Reggie Electrical and Computer Engineering University of Stavanger Stavanger Norway

ISBN: (纸本)9781538658789

Scheduling is a process that allocates resources to the competing tasks. The distribution of the resources to the various tasks forms a job. The aggregation of the tasks within the job, determine the optimal utilization of the resources and minimal completion time and costs. This paper demonstrates the scheduling problem in the grid applications, considering single-grid and multi-grid environments. Petri Net is used for modeling the system, and the models are implemented with the GPenSIM tool. Also, this paper presents an algorithm for scheduling in multi-grid, in which the modules give the right to each other to use one others resources without causing delays. The novelty of this algorithm is that while it is easy to implement, it is also efficient as it minimizes the total processing time of the jobs. © 2018 IEEE.

关键词： Petri nets

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A Survey of Clustering algorithms Based on Parallel Mechanism

A Survey of Clustering Algorithms Based on Parallel Mechanis...

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2018 international conference on computer modeling, simulation and algorithm（cmsa2018）

作者： Xingang Wang Bei Hang University

With the rapid development of the Internet and mobile Internet, the amount of data and information generated by people has dramatically increased. The demand for rapid processing of data by computers has become increasingly urgent. Clustering analysis is one of the most important data processing methods. Existing clustering algorithms have a high time complexity in calculating the center point and a large amount of resource consumption and poor execution efficiency in the serial processing of mass data. Therefore, efficient and accurate parallel clustering algorithms need to be studied. This paper introduced the parallel mechanism and its computing platform, summarized the existing parallel clustering algorithms, classified them according to clustering methods, and discuss the key technologies and platforms proposed in the existing work.

关键词： parallelism mechanism parallel computing platform parallel clustering algorithm

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