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检索条件"主题词=Software Algorithms"

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New BESA Algorithm Development and Design for Network Security in Multimedia Communication

New BESA Algorithm Development and Design for Network Securi...

引用

International Conference on Information Science and Security (ICISS)

作者： Hyoung-Keun Park Sun-Youb Kim Yu-Chan Ra Sang-Keon Lee Department Electronic Engineering Namseoul University South Korea Department Information and Communication Engineering Namseoul University South Korea

New BESA cryptographic algorithm is suitable network environment and wire/wireless communication network, on implement easy, security rate preservation, scalable and reconfigurable. Though proposed algorithm strengthens security vulnerability of TCP/IP protocol and keep security about many user as that have authentication function in network environment, there is important purpose. So that new BESA cryptographic algorithm implemented by hardware base cryptosystem and en/decryption is achieved at the same time, composed architecture.

关键词： Algorithm design and analysis Multimedia communication Cryptography Information security software algorithms software safety Hardware software standards Data security Information science

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New transition probablity for Ant Colony Optimization: Global Random-proportional Rule

New transition probablity for Ant Colony Optimization: Globa...

引用

The 8th World Congress on Intelligent Control and Automation(第八届智能控制与自动化世界大会 WCICA 2010)

作者： Song Zheng Ming Ge Chunfu Li Chunlin Wang Anke Xue Department of Automation Hangzhou dianzi University HangzhouZhejiang Province China

Aiming at the disadvantage (premature convergence) of the Ant Colony Optimization (ACO), a mechanism called global random-proportional rule (GRP) is presented. The mechanism adjusts the transition probability proportionally and facilitates the exploration by increasing the probability of selecting solution components with low pheromone trail. It can avoid premature convergence of ACO and exploit more strongly solutions. The results show that ACO with GRP are superior to the existing ACO and the mechanism is useful to improve the performance of any versions of ACO by investigating the functioning of GRP in the Traveling Salesman Problem (TSP).

关键词： Convergence Ant colony optimization Cities and towns Traveling salesman problems Optimization software algorithms software

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Testing for the MMX Rover Autonomous Navigation Experiment on Phobos

Testing for the MMX Rover Autonomous Navigation Experiment o...

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IEEE Conference on Aerospace

作者： Lukas Meyer Mallikarjuna Vayugundla Patrick Kenny Michal Smíšek Jens Biele Alessandro Maturilli Marcus G. Müller Wolfgang Stürzl Martin J. Schuster Tim Bodenmüller Armin Wedler Rudolph Triebel German Aerospace Center (DLR) Institute of Robotics and Mechatronics Wessling Germany Institute for Software Technology Wessling Germany Space Operations and Astronaut Training Microgravity User Support Center Linder Hohe Koln Germany Institute of Planetary Research Berlin Germany

The MMX rover will explore the surface of Phobos, Mars' bigger moon. It will use its stereo cameras for perceiving the environment, enabling the use of vision based autonomous navigation algorithms. The German Aerospace Center (DLR) is currently developing the corresponding autonomous navigation experiment that will allow the rover to efficiently explore the surface of Phobos, despite limited communication with Earth and long turn-around times for operations. This paper discusses our testing strategy regarding the autonomous navigation solution. We present our general testing strategy for the software considering a development approach with agile aspects. We detail, how we ensure successful integration with the rover system despite having limited access to the flight hardware. We furthermore discuss, what environmental conditions on Phobos pose a potential risk for the navigation algorithms and how we test for these accordingly. Our testing is mostly data set-based and we describe our approaches for recording navigation data that is representative both for the rover system and also for the Phobos environment. Finally, we make the corresponding data set publicly available and provide an overview on its content.

关键词： Earth Mars Navigation software algorithms Moon Cameras software

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Graph Neural Network Performance Analysis in the Cell-Free Massive MIMO Wireless Systems

Graph Neural Network Performance Analysis in the Cell-Free M...

引用

International Joint Conference on Computer Science and software Engineering (JCSSE)

作者： Md Habibur Rahman Mohammad Abrar Shakil Sejan Md Abdul Aziz Rana Tabassum Hyoung-Kyu Song Dept. Information and Communication Engineering Sejong University Seoul Republic of Korea Dept. Convergence Engineering for Intelligent Drone Sejong University Seoul Republic of Korea

ISBN: (数字)9798350381764

ISBN: (纸本)9798350381771

To address challenging issues in wireless communications, researchers have developed deep learning (DL)-based techniques, yielding encouraging outcomes. However, commonly adopted neural network (NN) architectures, such as convolutional (CNNs) and multi-layer perceptrons, are derived from DL for image processing applications and are not specifically tailored to tackle wireless network challenges. Consequently, they often exhibit poor generalization and scalability issues in large-scale networks and unknown network environments. Graph neural networks (GNNs) have gained recent popularity as a solution to these challenges due to their ability to effectively utilize domain knowledge and graph topology in wireless communications. GNN-based techniques demonstrate nearly optimal performance in massive networks and show good generalization across various system configurations. To leverage GNNs in wireless systems, we have designed a cell-free massive MIMO (CF-mMIMO) system, presented as a GNN structure. The proposed CF-mMIMO system is employed to analyze the effectiveness of different GNN models and various optimization algorithms. The system exhibits effective performance against optimal benchmarks and provides valuable insights for the next-generation research community.

关键词： Analytical models Wireless networks software algorithms Massive MIMO Benchmark testing Graph neural networks Topology

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Dividing point value selections for Improved Quick Processor-demand Analysis

Dividing point value selections for Improved Quick Processor...

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International Conference on software Technology and Engineering (ICSTE)

作者： Fengxiang Zhang Alan Burns Department of Computer Science Southwest University Chongqing China Department of Computer Science University of York York UK

Earliest Deadline First (EDF) is an optimal scheduling algorithm for uniprocessor real-time systems. Improved Quick Processor-demand Analysis (QPA*) provides efficient and exact schedulability tests for EDF-scheduled systems with arbitrary relative deadlines. The values of the dividing points can significantly affect the performance of QPA*. In this paper, we provide an efficient approach based on experiments to find suitable values of the dividing points; we also investigate the best value of the dividing points by extensive simulations on a large number of randomly generated task sets. We show that the proposed approach can significantly reduce the required calculations to perform a dividing point's value selection.

关键词： Real time systems Algorithm design and analysis software software algorithms Upper bound Timing Heuristic algorithms

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Implementation and analysis of speech recognition front-ends

Implementation and analysis of speech recognition front-ends

引用

IEEE Southeastcon

作者： V. Mantha R. Duncan Yufeng Wu Jie Zhao A. Ganapathiraju J. Picone Institute for Signal and Information Processing Mississippi State University MS USA

We have developed a comprehensive front-end module integrating several signal modeling algorithms common to state-of-the-art speech recognition systems. The algorithms presented in this work include mel-frequency cepstra, perceptual linear prediction, filter bank amplitudes, and delta features. The framework for the front-end system was carefully designed to ensure simple integration into speech processing software. The modular design of the software along with an intuitive GUI provide a powerful tutorial by allowing a wide selection of algorithms. The software is written in a tutorial fashion, with a direct correlation between algorithmic lines of code and equations in the technical paper.

关键词： Speech analysis Speech recognition software algorithms Cepstral analysis Filter bank Speech processing software design Algorithm design and analysis Graphical user interfaces Equations

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An FPGA/SOPC open system for designing and testing controllers

An FPGA/SOPC open system for designing and testing controlle...

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Chinese Control Conference (CCC)

作者： Yi Xi Fang Xu Hong Chen Mingxing Liu State Key Laboratory of Automobile Dynamic Simulation Jilin University Changchun 130025 China Department of Control Science and Engineering Jilin University Changchun 130025 China

This paper presents an open system for designing and testing electronic control units of fast automotive control systems in order to build a prototype quickly and implement the real-time simulation verification. It integrates hardware, software and algorithms on a single FPGA. FPGA board can be used for hardware and a Nios II-based SOPC (System-on-a-Programmable- Chip) system is used to implement software and algorithms. Finally, we implement and test a PID algorithm and a model predictive control algorithm for controlling an electronic throttle by dSPACE or xPC-Target. The results verify the functionality of the developed system.

关键词： Field programmable gate arrays Pulse width modulation Prediction algorithms software algorithms Predictive models Predictive control Real time systems

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Design Patterns for Image Processing Algorithm Development on FPGAs

Design Patterns for Image Processing Algorithm Development o...

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IEEE Region 10 International Conference TENCON

作者： K. T. Gribbon D. G. Bailey C. T. Johnston Institute of Information Sciences and Technology Massey University Palmerston North New Zealand

FPGAs are often used as implementation platforms for real-time image processing applications because their structure allows them to exploit spatial and temporal parallelism. Such parallelization is subject to the processing mode and hardware constraints including limited processing time, limited access to data and limited resources of the system. These constraints often force the designer to reformulate the software algorithm in the process of mapping it to hardware. To aid in the process this paper proposes the application of design patterns which embody experience and through reuse provide tools for solving particular mapping problems. Issues involved in applying design patterns in this manner are outlined and discussed.

关键词： Algorithm design and analysis Image processing Field programmable gate arrays Hardware Application software Pixel Logic Timing Bandwidth software algorithms

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Impact of crossover and mutation on reproduction in evolutionary test model learning

Impact of crossover and mutation on reproduction in evolutio...

引用

International Symposium on Intelligent Systems and Informatics (SISY)

作者： Michal Sroka Dominik Fisch Roman Nagy Faculty of Materials Science and Technology in Trnava Slovak University of Technology in Bratislava Trnava Slovakia Central Control Unit Software Development and Validation Research and Development Centre BMW AG Munich Germany

Automation in the software test design process has a significant impact on the software testing process and therefore also on the overall software development in the industry. The focus of this paper is on the automation of test case design via model-based testing for automotive embedded software. A method based on an evolutionary algorithm for acquiring the necessary test model automatically from sample test cases and additional sources of information is briefly described. This paper further investigates the impact of reproduction configuration on the evolutionary learning method.

关键词： Biological cells Sociology Statistics software Testing software algorithms Evolutionary computation

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Study on Resources Scheduling Based on ACO Allgorithm and PSO Algorithm in Cloud Computing

Study on Resources Scheduling Based on ACO Allgorithm and PS...

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International Symposium on Distributed Computing and Applications to Business, Engineering and Science (DCABES)

作者： Xiaotang Wen Minghe Huang Jianhua Shi School of Software Jiangxi Normal University Jiangxi China

It improves the algorithm because of the shortcoming that the ACO algorithm is easy to fall into local optimal solution in the cloud computing resource scheduling. The improved algorithm makes particle optimization inosculated into ant colony algorithm, which first finds out several groups of solutions using ACO algorithm according to the updated pheromone, and then gets more effective solutions using PSO algorithm to do crossover operation and mutation operation so as to avoid the algorithm prematurely into the local optimal solution.

关键词： Algorithm design and analysis Cloud computing Scheduling Processor scheduling Particle swarm optimization software algorithms Resource management

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