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检索条件"主题词=software algorithms"

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Search speed and power driven integrated software and hardware optimizations for motion estimation algorithms

Search speed and power driven integrated software and hardwa...

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IEEE International Conference on Multimedia and Expo (ICME)

作者： Shengqi Yang W. Wolf N. Vijaykrishnan EE Department Princeton University USA Microsystems Design Lab The Penn State University

The motion estimation (ME) is the most time consuming and power demanding module in a video encoder. In this paper, we provide the first detailed instruction-level simulation results on motion estimation. Firstly, we analyze various aspects of the selected seven typical motion estimation algorithms, such as search speed, instruction frequencies, branch behavior, and power distribution. Then, we propose suitable compiler techniques, hardware techniques and optimal instruction set architecture to speed up and reduce the power consumption of the motion estimation. SimpleScalar and SimplePower are used to simulate the effects of the optimizations on the motion estimation algorithms. Experimental results show that the execution time spent on motion vector search for one frame are averagely reduced by 39% and the power consumption is reduced by 62% by applying these techniques

关键词： Hardware Motion estimation software algorithms Multilevel systems Clocks Frequency selective surfaces Algorithm design and analysis Energy consumption Timing Instruction sets

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Complex polynomials in communications: motivation, algorithms, software

Complex polynomials in communications: motivation, algorithm...

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IEEE International Symposium on Computer Aided Control System Design (CACSD)

作者： M. Hromcik M. Sebek J. Jezek Centre for Applied Cybernetics Czech Technical University Prague Czech Republic Institute of Information Theory and Automation AS CR Prague Czech Republic

Quite recently the polynomial design methods found a new great field of application outside the control area: the algebraic approach has been used successfully in signal processing and mobile communications. In contrast to the control systems synthesis, polynomials and polynomial matrices with complex coefficients are often required when designing filters, equalizers, decouplers and other components of mobile phones for instance. Polynomial Toolbox for Matlab admits complex polynomials in most computations, including Diophantine equations and spectral factorizations. As a result, the toolbox appears a suitable tool for rapid prototyping whenever polynomial design routines with complex coefficients are required. The objective of this report is twofold. First, we explain in a clear and popular manner how the complex coefficients arise in technical practice. Based on this motivation, we present important numerical algorithms for complex polynomials and polynomial matrices and their implementation in the Polynomial Toolbox for Matlab. Finally, the power of the Toolbox is illustrated by selected numerical examples involving complex coefficients.

关键词： Polynomials software algorithms Signal processing algorithms Mobile communication Design methodology Application software Communication system control Control system synthesis Filters Equalizers

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Statistical non-parametric algorithms to estimate the optimal software rejuvenation schedule

Statistical non-parametric algorithms to estimate the optima...

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Pacific Rim International Symposium on Dependable Computing

作者： T. Dohi K. Goseva-Popstojanova K.S. Trivedi Department of Industrial and Systems Engineering Hiroshima University Higashi Hiroshima Japan Department of Electrical and Computer Engineering Duke University Durham NC USA

In this paper, we extend the classical result by Huang, Kintala, Kolettis and Fulton (1995), and in addition propose a modified stochastic model to determine the software rejuvenation schedule. More precisely, the software rejuvenation models are formulated via the semi-Markov processes, and the optimal software rejuvenation schedules which maximize the system availabilities are derived analytically for respective cases. Further, we develop nonparametric statistical algorithms to estimate the optimal software rejuvenation schedules, provided that the statistical complete (unsensored) sample data of failure times is given. In numerical examples, we examine asymptotic properties for the statistical estimation algorithms.

关键词： software algorithms Scheduling algorithm Job shop scheduling Aging Application software software testing Availability Humans software performance software safety

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Estimating Parameters of Van Genuchten Equation Based on Intelligent algorithms and RETC software

Estimating Parameters of Van Genuchten Equation Based on Int...

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International Symposium on Computer Science and Society (ISCCS)

作者： Xu Yang Xueyi You Min Ji Liuming Pan Xiuduo Wang Lejun Zhao School of Environmental Science and Engineering Tianjin University TJU Tianjin China Tianjin Municipal Engineering Design and Research Institute Tianjin China

In order to explore optimization effects of RETC software and intelligent algorithms, including genetic algorithm, simulated annealing algorithm and particle swarm optimization, on parameters of Van Genuchten (VG)Equation for the soil water characteristic curve of urban green space, the soil drying curve of green space was obtained by using the tensiometer method in this study, where RETC software, genetic algorithm, simulated annealing algorithm and particle swarm optimization we reconstructed to solve parameters of VG Equation. The results indicated that the parameter fitting results of VG Equation determined by RETC software and three intelligent algorithms were very close to experimental results with a very high simulation accuracy (R 2 = 0.996) in given conditions, moreover, the fitting effect of intelligent algorithms was better than that of RECT software.

关键词： Soil Mathematical model Equations Water software algorithms software Fitting

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algorithms to isolation of logical and physical objects from malicious software

Algorithms to isolation of logical and physical objects from...

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International Conference on Application of Information and Communication Technologies (AICT)

作者： S. S. Kasimov D. N. Rahmatov Tashkent Uzbekistan

Given article describes algorithms to isolation of malicious software logical and physical objects of the system. As example logical object are used files. As example physical object are used sectors of the hard disk.

关键词： software software algorithms Hard disks

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MMX-based DCT and MC algorithms for real-time pure software MPEG decoding

MMX-based DCT and MC algorithms for real-time pure software ...

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IEEE International Conference on Multimedia Computing and Systems (ICMCS)

作者： Yi-Shin Tung Chia-Chiang Ho Ja-Ling Wu Communication and Multimedia Laboratory Department of Computer Science and Information Engineering National Taiwan University Taipei Taiwan

To overcome the difficulties of computation-intensive multimedia applications, the development groups of major CPU manufacturers, such as Intel/sup TM/ and Digital/sup TM/, have decided to include new instruction sets into their CPU families to increase their multimedia handling ability. The newly introduced instruction set is basically in a Single Instruction Multiple Data (SIMD) Stream operation type. For practical purposes (e.g, the trade off between the complexity of hardware implementation and the so-obtained performance improvement), they use a reduced SIMD instruction set instead of the full one. Taking Intel as an example, the new instruction set is composed of 57 operations called the MultiMedia eXtension (MMX) instruction set. Nowadays, how to fully utilize the power of the embedded instruction set for providing various multimedia applications becomes an interesting and important issue. We demonstrate an efficient realization, based on the new MMX instruction set of the block Inverse Discrete Cosine Transform (IDCT) and Motion Compensation (MC) which are kernel components of the block based decoding standards, such as MPEG-1, MPEG-2, H.261 and H.263. The convincing results show that: with the addition of the proper SIMD instruction set, the pure software solution for complicated multimedia applications (such as real time MPEG video decoding) becomes feasible.

关键词： Discrete cosine transforms software algorithms Streaming media Application software Decoding Computer aided instruction Computer aided manufacturing Computer applications Instruction sets Hardware

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Hydamc: A Hybrid Detection Approach for Misuse of Cryptographic algorithms in Closed-Source software

Hydamc: A Hybrid Detection Approach for Misuse of Cryptograp...

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IEEE International Conference on Trust, Security and Privacy in Computing and Communications (TrustCom)

作者： Haoling Fan Fangyu Zheng Jingqiang Lin Lingjia Meng Mingyu Wang Qiang Wang Shijie Jia Yuan Ma State Key Laboratory of Information Security Institute of Information Engineering Chinese Academy of Sciences Beijing China Data Assurance and Communication Security Research Center Chinese Academy of Sciences Beijing China School of Cyber Security University of Chinese Academy of Sciences Beijing China School of Cryptography University of Chinese Academy of Sciences Beijing China School of Cyber Security University of Science and Technology of China Hefei China

ISBN: (数字)9798350381993

ISBN: (纸本)9798350382006

Cryptographic algorithms are fundamental to secure software development, but security vulnerabilities can arise during implementation, usage, and when calling third-party libraries. As security standards continue to evolve, software updates have become an inevitable trend, and detecting cryptographic algorithm misuse is crucial to ensure compliance with these standards during the update process. However, closed-source software presents challenges in detecting cryptographic algorithm misuse. To enhance the security ecosystem of software, we designed a hybrid detection approach for detecting misuses in closed-source software related to weak cryptographic algorithms, short keys, insecure working modes, and insecure padding modes. Our hybrid detection tool uses both static and dynamic detection methods to collect log information through a logging mechanism in binary executable files. The collected data is cleaned using a data cleaning strategy and analyzed to extract key features, generating test reports to help developers and experts identify cryptographic algorithm security issues. We tested 24 software applications from app stores and found that 62.5% had weak algorithm implementations or usage, 83.3% supported short keys, and 50% supported insecure padding modes. Finally, we provided actionable recommendations to mitigate identified issues.

关键词： Privacy Heuristic algorithms software algorithms Ecosystems Feature extraction Market research software

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Models and algorithms for business value-driven adaptation of business processes and software infrastructure

Models and algorithms for business value-driven adaptation o...

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International Conference on software Engineering - Companion, ICSE, Companion

作者： Basem Suleiman Vladimir Tosic Ross Jeffery Jenny Liu Managing Complexity Theme NICTA Sydney Australia School of Computer Science and Engineering University of New South Wales Sydney Australia

This research investigates how to provide automated analysis and decision-making support for adaptation of business processes and underlying software infrastructure, in the way that both maximizes business value metrics (e.g., profit, return on investment) and maintains alignment between business strategies and adaptation decisions. Among its expected contributions are improved modeling of business value metrics and business strategies in business process models and novel business value-driven techniques and algorithms that support primarily automatic and dynamic (runtime) adaptations, but also manual and static (design-time) adaptations. The proposed solutions will be implemented in software prototypes to demonstrate feasibility. Their usefulness will be evaluated through realistic case studies.

关键词： software algorithms Runtime Business process re-engineering Decision making Humans Engineering management Performance analysis software engineering software maintenance Australia

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Evaluation of Classification algorithms for software Defect Prediction

Evaluation of Classification Algorithms for Software Defect ...

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International Conference on Mechatronics, Electronics and Automotive Engineering (ICMEAE)

作者： Ma. José Hernández-Molinos Ángel J. Sánchez-García R. Erandi Barrientos-Martínez Juan Carlos Pérez-Arriaga Facultad de Estadística e Informátic Universidad Veracruzana Universidad Veracruzana Institute de Investigaciones en Inteligencia Artificial Xalapa México

ISBN: (数字)9781665495400

ISBN: (纸本)9781665495417

For software Engineering industry is essential to build software with high quality, but this has become difficult these days with the fact that size and complexity of developed software is high. For this reason, it is important to predict the quality of software in early phases, by this way, it helps to reduce testing resources. Some classification algorithms have been used for software defect prediction. In this paper five algorithms were evaluated and compared according to accuracy metric using three PROMISE datasets. For the evaluation, two classifiers were used which are focus on decision trees and three Bayesian classifiers. Results shows that even when percentages of accuracy are high on each classifier, decision trees got the highest percentage compared to Bayesian classifiers.

关键词： Measurement Mechatronics software algorithms Prediction algorithms software Classification algorithms Bayes methods

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An Empirical Evaluation of Machine Learning algorithms for Identifying software Requirements on Stack Overflow: Initial Results

An Empirical Evaluation of Machine Learning Algorithms for I...

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IEEE International Conference on software Engineering and Service Sciences (ICSESS)

作者： Arshad Ahmad Chong Feng Adnan Tahir Asif Khan Muhammad Waqas Sadique Ahmad Ayaz Ullah School of Computer Science & Technology Beijing Institute of Technology Beijing China College of Computer Science & Software Engineering Shenzen University Shenzen China Department of Computer Science FAST-NUCES Peshawar Pakistan Faculty of Engineering Sciences & Technology Iqra University Karachi Pakistan Department of Computer Science University of Swabi Anbar Pakistan

ISBN: (数字)9781728109459

ISBN: (纸本)9781728109466

Context: The recent developments made during the last decade or two in requirements engineering (RE) methods have seen a rise in using different machine-learning (ML) algorithms to solve some complex RE problems. One such problem is identifying and classifying software requirements on Stack Overflow (SO). The suitability of ML-based techniques to this tackle problem has shown convincing results, much better than those generated by some traditional natural language processing (NLP) techniques. Nevertheless, a comprehensive and systematic comprehension of these ML based techniques is still deficient. Objective: To identify and classify the type of ML algorithms used for identifying software requirements on SO. Method: This article reports systematic literature review (SLR) gathering evidence published up to August, 2019. Results: This study identified 1073 published papers related to RE and SO. Only 12 primary papers were selected. The data extraction process revealed that; 1) Latent Dirichlet Allocation (LDA) topic modeling is the most widely used ML algorithm in the selected studies, and 2) Precision and recall are the most commonly used evaluation method to measure the performance of these ML algorithms. Conclusion: The SLR finds that while ML algorithms have great potential in the identification of RE on SO, they face some open issues that will ultimately affect their performance and practical application. The SLR calls for the collaboration between RE and ML researchers, to tackle the open issues facing the development of real-world ML systems.

关键词： software Machine learning algorithms software algorithms Classification algorithms Systematics Requirements engineering Data mining

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