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检索条件"主题词=Software Algorithms"

共 12410 条记录，以下是251-260 订阅

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Self-Adaptive Ising Machines for Constrained Optimization

Self-Adaptive Ising Machines for Constrained Optimization

引用

Design, Automation and Test in Europe Conference and Exhibition

作者： Corentin Delacour Department of Electrical and Computer Engineering University of California Santa Barbara

ISBN: (数字)9783982674100

ISBN: (纸本)9798331534646

Ising machines (IM) are physics-inspired alternatives to von Neumann architectures for solving hard optimization tasks. By mapping binary variables to coupled Ising spins, IMs can naturally solve unconstrained combinatorial optimization problems such as finding maximum cuts in graphs. However, despite their importance in practical applications, constrained problems remain challenging to solve for IMs that require large quadratic energy penalties to ensure the correspondence between energy ground states and constrained optimal solutions. To relax this requirement, we propose a self-adaptive IM that iteratively shapes its energy landscape using a Lagrange relaxation of constraints and avoids prior tuning of penalties. Using a probabilistic-bit (p-bit) IM emulated in software, we benchmark our algorithm with multidimensional knapsack problems (MKP) and quadratic knapsack problems (QKP), the latter being an Ising problem with linear constraints. For QKP with 300 variables, the proposed algorithm finds better solutions than state-of-the-art IMs such as Fujitsu's Digital Annealer and requires 7,500x fewer samples. Our results show that adapting the energy landscape during the search can speed up IMs for constrained optimization.

关键词： Annealing Shape software algorithms Stationary state Benchmark testing Probabilistic logic software Optimization Lagrangian functions Tuning

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OpenCV-based Recognition Method for Computer Interlocking Host Computer Interface

OpenCV-based Recognition Method for Computer Interlocking Ho...

引用

IEEE Information Technology and Mechatronics Engineering Conference (ITOEC)

作者： Jiapeng Li Wenzhen Kuang Tao He Yajie Li Yanpeng Wu Key Lab of Opt-Electronic Technology and Intelligent Control of Minisitry of Education Lanzhou Jiaotong University Lanzhou China Automatic Control Institute Lanzhou Jiaotong University Lanzhou China Gansu Rail Transit Signal and Control Evaluation Industry Technology Center Lanzhou

ISBN: (数字)9798331529482

ISBN: (纸本)9798331529499

In order to improve the efficiency of identifying the operation of computer interlocking host computer interface and promote the improvement of automation, combined with the display standards and requirements of the host computer interface, this paper proposes an image analysis method for the host computer interface based on Open CV. The method accurately extracts the coordinate information on the screen by quantifying the geometric features of various types of signal devices in the host computer interface. Through this process, it can realise the automatic identification, obtain the whole station's signal layout map from the image input, and make preparations for the subsequent automated test.

关键词： Computer interfaces Image analysis Accuracy Text recognition software algorithms Layout Feature extraction software Libraries Data mining

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Evaluating Code Emulating Upsets on Microcontroller Devices

Evaluating Code Emulating Upsets on Microcontroller Devices

引用

IEEE Southeastcon

作者： Cebron Williams Daniel B. Limbrick John Kelly Christopher Doss Department of Electrical and Computer Engineering North Carolina Agricultural and Technical State University Greensboro NC United States

ISBN: (数字)9798331504847

ISBN: (纸本)9798331504854

Fault attacks pose a significant threat to the functionality and reliability of embedded systems, particularly microcontrollers that are widely used in critical applications such as consumer electronics, medical devices, industrial systems, and recently machine learning models. Given the nature of fault injection attacks, the cost for setting up and running fault injection campaigns can be inaccurate, time consuming and expensive. Because of this, alternative methods such as software, GDB based and RTL model fault injection have been developed. This paper compares these fault injection methods and proposes a high-level, standalone method of injecting faults into the ARM Cortex M0+ microcontroller with high accuracy and customization, while exploring the vulnerability of various algorithms.

关键词： Embedded systems Medical devices Costs Microcontrollers software algorithms Machine learning Computer crashes software Reliability Consumer electronics

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PEARL: FPGA-Based Reinforcement Learning Acceleration with Pipelined Parallel Environments

PEARL: FPGA-Based Reinforcement Learning Acceleration with P...

引用

Design, Automation and Test in Europe Conference and Exhibition

作者： Jiayi Li Hongxiao Zhao Wenshuo Yue Yihan Fu Daijing Shi Anjunyi Fan Yuchao Yang Bonan Yan Institute for Artificial Intelligence Peking University Beijing China Beijing Advanced Innovation Center for Integrated Circuits School of Integrated Circuits Peking University Beijing China School of Electronic and Computer Engineering Peking University Shenzhen China Chinese Institute for Brain Research Beijing China

ISBN: (数字)9783982674100

ISBN: (纸本)9798331534646

Reinforcement learning (RL) is an effective machine learning approach that enables artificial intelligence agents to perform complex tasks and make decisions in dynamic situations. Training an RL agent demands its repetitive interaction with the environment to learn optimal policies. To efficiently collect training data, parallelizing environments is a widely used technique by enabling simultaneous interactions between multiple agents and environments. However, existing CPU-based RL software frameworks face a key challenge of slow multi-environmental update computation. To solve this problem, we present a novel FPGA-based RL accelerating framework-PEARL. PEARL instantiates multiple parallel environments and accelerates them with a carefully designed pipeline scheme to hide data transfer latency within the computation time. We evaluate PEARL on respective RL environments and achieve 4.36 x to 972.6 x speedup over the existing fastest software-based framework for parallel environment execution. When scaling the number of environments from 1024 to 43008 (42x) in CliffWalking benchmark, the power consumption increases marginally by 3%, while LUT and flip-flops utilization rise by 2.24 x and 3.08 x, respectively. This demonstrates efficient resource usage and power management in PEARL. Further, PEARL allows users to define and add their environments within the framework flexibly. We have established an open-source repository for users to utilize and expand. We also implement PEARL with the existing RL algorithm and save 7% -15% training time. All the source code is available online https://***/Selinaee/FPGA_Gym.

关键词： Training Source coding software algorithms Training data Reinforcement learning Benchmark testing Throughput software Table lookup Field programmable gate arrays

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The Concept of Genetic Reverse-Engineering to Restore the Program’s Source Code from a Binary Code: Theory and Applying Practice

The Concept of Genetic Reverse-Engineering to Restore the Pr...

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International Communication Systems and Networks and Workshops, COMSNETS

作者： Konstantin Izrailov Igor Kotenko Computer Security Problems Laboratory St. Petersburg Federal Research Center of the Russian Academy of Sciences Saint-Petersburg Russia

ISBN: (数字)9798331531195

ISBN: (纸本)9798331531201

The work is devoted to solving the problem of restoring the representation of the source code of a program (and in the future, algorithms, architecture, etc.) in the form of a binary code, which will allow searching for vulnerabilities in them more effectively. For this purpose, it is proposed to use reverse-engineering based on genetic algorithms. The concept of genetic reverse-engineering, consisting of a sequence of deevolutions of individual representations of the program, and created necessary model-algorithmic instrumentry, is described. The results of experiments on restoring the source code for a non-trivial mathematical expression by various methods and the obtained operating time are presented: by expert groups – 30, 15 and 3-5 minutes, by smart brute-force – 10 minutes, by a genetic de-evolution prototype (as a special case of full reverse-engineering) – 0.5 minutes.

关键词： Source coding Instruments software algorithms Prototypes Binary codes Genetics Search problems software Genetic algorithms Testing

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Detecting Cross-Domain Ambiguity In Requirements Through Natural Language Processing, A Systematic Literature Review

Detecting Cross-Domain Ambiguity In Requirements Through Nat...

引用

International Conference on Advancements in Computational Sciences (ICACS)

作者： Ibrahim Khalil Israr Ahmad Uzair Rasheed Wasi Haider Butt Zaeem Anwaar Department of Computer and Software Engineering CEME NUST Islamabad Pakistan

ISBN: (数字)9798331533038

ISBN: (纸本)9798331533045

A strong foundation for a project is the first step to measuring or estimating the success parameters of a project. Requirement engineers gather and elicit the requirements of the project in detail after the feasibility study. A project’s success can be measured/estimated if and only if the initially collected requirements are clear, unambiguous, and well-understood. Similarly, ambiguous or not understandable requirements can lead to failure or closure of the project in disastrous form. An initial step in requirement elicitation is usually gathering requirements in natural language. This study analyzes different tools, techniques, and approaches in different research articles used for detecting ambiguities in requirements in the natural language. We identified 33 research articles, published during 2012-24 through a Systematic Literature Review. For automated ambiguities detection in requirements engineering, we identified 17 tools & techniques and 12 NLP approaches. We analyzed the better approach for cross-domain ambiguity detection. SGNS (Skipgram Negative Sampling) variant of Word2Vec for the cross-domain ambiguity detection in the review of the study, resulted to be the most efficient technique implemented with the usage view and easily scalable for multiple requirements and domains.

关键词： Scalability software algorithms Natural language processing software Requirements engineering Systematic literature review

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The Impact of Technological Progress on the Competencies of Electronics, Radio Engineering, Communications and ICT Specialists

The Impact of Technological Progress on the Competencies of ...

引用

Systems of Signals Generating and Processing in the Field of on Board Communications

作者： Tatyana A. Kuzovkova Alexander D. Kuzovkov Olga I. Sharavova Ivan M. Sharavov Moscow Technical University of Communications and Informatics Moscow Russia

ISBN: (数字)9798331532635

ISBN: (纸本)9798331532642

The development strategy of the electronics industry and the high rates of scientific and technological progress in electronics, radio engineering, communications and ICT require the formation of new competencies of technical specialists who meet the requirements of a new technological order. The article is devoted to substantiating the need to modernize higher engineering education due to the impact of the nature of technological progress, the principles of the recent industrial revolutions, the transition to the latest generations of mobile communications, promising markets for electronic products, as well as the use of new learning tools and technologies, including the gamification method. The objectives, formats and procedures for conducting classes in the form of game situations for the implementation of promising competence indicators for electronics, radio engineering, communications and ICT specialists have been defined.

关键词： Humanities Technological innovation Systematics software algorithms Games Mobile communication software Information and communication technology Consumer electronics Standards

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Comparative Analysis of Conventional and Post-Quantum Cryptographic algorithms

Comparative Analysis of Conventional and Post-Quantum Crypto...

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IEEE Southeastcon

作者： Jordan Shropshire Lindsay Nadobny Campbell Hodge Micah Israel Department of Computer Science University of South Alabama Alabama USA

ISBN: (数字)9798331504847

ISBN: (纸本)9798331504854

Although quantum computers are still in their infancy, their operational costs are already beginning to decline. Within the next decade, quantum computing systems are expected to become commonplace in large businesses, government agencies, and other organizations. It is likely that these systems will be accessible not only to legitimate users, but also to adversaries with malicious intentions. Quantum computers can break conventional cryptographic algorithms, jeopardizing the confidentiality of network data communications. In response, post-quantum cryptographic algorithms are being developed to resist quantum-based brute-force attacks by minimizing the computational speedup which quantum computers provide. This research compares three leading post-quantum cryptographic algorithms against three of their conventional counterparts. Evaluate your encryption, decryption, and key generation operations in terms of memory usage, processor consumption, and execution time. The results of this comparative analysis and their implications for future cryptographic security in the post-quantum era are discussed.

关键词： Computers Quantum computing Heuristic algorithms software algorithms Memory management software Real-time systems Encryption Cryptography Data communication

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Low-Power High-Speed CNN Accelerator with Matrix Reodering Techniques for Small Footprint Memory Access

Low-Power High-Speed CNN Accelerator with Matrix Reodering T...

引用

International Conference on Artificial Intelligence in Information and Communication (ICAIIC)

作者： Hoseong Kim Daejin Park School of Electronics Engineering Kyungpook National University Daegu Korea

ISBN: (数字)9798331507022

ISBN: (纸本)9798331507039

In the evolution of artificial intelligence (AI), large - scale data volumes are needed to best represent the information. This dataset is expressed by a matrix or tensor. When data volumes increase, the operational throughput of data processing increases, exponentially. However, this is not acceptable for computational devices, such as mobile devices, that are expected to low power consumption and high-performance. As the demands for embedded chip devices in AI software have increased, low-power and high-performance modules for AI software are needed to ensure efficient matrix or tensor data processing. Commonly, as performance enhances, power consumption also increases. In this point, a new matrix operation system is essential to ensure high performance and low-power consumption for efficient matrix data processing. In the matrix operation property, large amounts of computational operation can be reduced and sped up through parallelized data processing. In this paper, to determine the advantages of parallelized matrix operation in terms of performance and power consumption, hardware (ALU and memory) module chip equipped with a parallel operation structure and algorithm is designed to reduce data volumes and operational load. By implementing this module by Verilog, with a multicore processor, the processing speed and power consumption are able to compare with the existing sequential processing method of a single-core structure processor [1] [2]. We conducted an experiment to check the operation and performance of a parallelized module chip. The data are stored in memory to compression form through CNN algorithm software, and this is useful in the operation of the matrix arithmetic. This matrix arithmetic operation load is also reduced in support of the CNN algorithm software. The experimental results most likely confirm that the designed quad-core processor embedded CNN algorithm increased its speed to n*log n scale time complexity and that the memory usage rate, m

关键词： Power demand Tensors Multicore processing software algorithms Data processing Throughput software Artificial intelligence Time complexity Arithmetic

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Accurate Estimation of Fiducial Marker Positions Using Motion Capture System

Accurate Estimation of Fiducial Marker Positions Using Motio...

引用

IEEE/SICE International Symposium on System Integration

作者： Matus Tanonwong Naoya Chiba Koichi Hashimoto Department of System Information Sciences Graduate School of Information Sciences Tohoku University Sendai Japan

ISBN: (数字)9798331531614

ISBN: (纸本)9798331531621

In this paper, we present a method for aligning the coordinates of multiple cameras and sensors into a unified coordinate system using a motion capture system. Our simulated convenience store environment includes cameras and sensors with distinct coordinate systems, necessitating coordinate alignment. The motion capture system identifies retroreflective markers, while other cameras detect fiducial markers for position and orientation determination. Three optimization algorithms are experimented with to compute a transformation matrix aligning camera coordinates to motion capture coordinates, with the Broyden–Fletcher–Goldfarb–Shanno (BFGS) algorithm achieving the best results (average errors of 1.13 centimeters and 3.90 degrees). Comparisons with fiducial marker pose estimation using an open-source Pupil Core software indicate our method is more robust and consistent, with lower repeatability errors. Additionally, we examine the estimation errors in relation to the distances of the fiducial markers from the camera to minimize these errors, enhancing installation accuracy of cameras and sensors in our simulated environment. This approach enables precise determination of positions and orientations across integrated cameras, consistent with the motion capture system. The findings contribute to our ongoing project, which requires an accurate system integration for customer behavior analysis.

关键词： Accuracy software algorithms System integration Cameras Motion capture Fiducial markers software Sensor systems Sensors Pupils

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