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检索条件"主题词=software algorithms"

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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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A comparison of four adaptation algorithms for increasing the reliability of real-time software

A comparison of four adaptation algorithms for increasing th...

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Real-Time Systems Symposium (RTSS)

作者： T.E. Bihari K. Schwan Adaptive Machine Technologies Inc. Georgia Institute of Technology USA

In a large, parallel, real-time computer system, it is frequently most cost-effective to use different software reliability techniques (e.g., retry, replication, and resource-allocation algorithms) at different levels of granularity or within different subsystems, dependent on the reliability requirements and fault models associated with each subsystem. The authors describe the results of applying four reliability algorithms, via RESAS (REal-time software Adaptation System), to a sample real-time program executing on a multiprocessor.< >

关键词： software algorithms Real time systems software performance Communication system software software systems Vehicle dynamics Concurrent computing Fault detection Hardware software tools

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Analyzing Multicast Routing algorithms on software Defined Network

Analyzing Multicast Routing Algorithms on Software Defined N...

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IEEE Region 10 Symposium

作者： Sabila Nawshin Sarah Ahsin Iffat Jahan Rabaya Jalal Moon A.K.M. Mazharul Haque Nasif Muslim Salekul Islam United International University Dhaka Bangladesh Department of Computer Science and Engineering United International University Dhaka Bangladesh

ISBN: (数字)9781728173665

ISBN: (纸本)9781728173672

The existing Internet is a network consisting of several routers and communication links, where each of the routers has the information about its adjacent routers only. As a result, the algorithms in practice are decentralized and work in a distributed setting. When forwarding a packet from a single source to multiple destinations, multicasting is the concept of sending only one packet for the common path between the source and the destinations and replicating it when the paths are divided. As the routing algorithms operate only on localized information in the present network, multicasting is a difficult task to implement. software Defined Network (SDN) provides us with a centralized view of the whole topology, opening up the opportunity to deploy more complex and efficient algorithms for multicasting. Much research has already been carried out on this field based on various dimensions of SDN. In this paper, we reviewed some of the existing algorithms associating with our target. We also tested the existing routing algorithms on SDN and conducted a comparative analysis among the algorithms to determine which one would efficiently deploy multicast routing.

关键词： Multicast algorithms Multicast communication Topology Routing Delays Streaming media software algorithms

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Automated software testing for application maintenance by using bee colony optimization algorithms (BCO)

Automated software testing for application maintenance by us...

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International Conference on Information Communication and Embedded Systems (ICICES)

作者： K. Karnavel J. Santhoshkumar Department of Computer science Engineering Anand Institute of Higher Technology India Department of Computer Science Engineering Anand Institute of Higher Technology India

The discipline of software engineering encompasses knowledge, tools, and methods for defining software requirements, and performing software design, software construction, software testing, and software maintenance tasks. In software development practice, testing accounts for as much as 50% of total development efforts. Testing can be manual, automated, or a combination of both. Manual testing is the process of executing the application and manually interacting with the application, specifying inputs and observing outputs The objective of the project is to test the software application by suitable algorithm. The proposed system has to reduce the application testing moment, easily can find out bug and solve the bug by Regression Testing. Here by we are going to using a safe efficient regression bee colony optimization algorithm(BCO) for construct control flow graphs for a procedure or program and its modified version and use these graphs to select tests that execute changed code from the original test suite. Traceability relation of completeness checking for agent errors. In traceability relation to identifying missing elements in entire application and classifying defect in the testing moment.

关键词： software Algorithm design and analysis Optimization software testing Computer bugs software algorithms

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Numerical algorithms and software for Spectral Factorization Problems

Numerical Algorithms and Software for Spectral Factorization...

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American Control Conference (ACC)

作者： Matt Wette Alan J. Laub Department of Electrical and Computer Engineering University of California Santa Barbara CA USA

Numerical algorithms for spectral factorization problems appearing in linear filtering and control are given. These algorithms are based on state space realizations of rational transfer matrices. Issues addressed incl... 详细信息

关键词： software algorithms State-space methods Poles and zeros Filtering algorithms Eigenvalues and eigenfunctions Maximum likelihood detection Nonlinear filters Application software software packages

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Performance of recovery time improvement algorithms for software RAIDs

Performance of recovery time improvement algorithms for soft...

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International Conference on Parallel and Distributed Information Systems

作者： J. Riegel J. Menon IBM Almaden Research Center San Jose CA USA

A software RAID is a RAID implemented purely in software running on a host computer. One problem with software RAIDs is that they do not have access to special hardware such as NVRAM. Thus, software RAIDs may need to check every parity group of an array for consistency following a host crash or power failure. This process of checking parity groups is called recovery, and results in long delays when the software RAID is restarted. The authors review two algorithms to reduce this recovery time for software RAIDs: the PGS bitmap algorithm and the list algorithm. They compare the performance of these two algorithms using trace-driven simulations. Their results show that the PGS bitmap algorithm can reduce recovery time by a factor of 12 with a response time penalty of less than 1%, or by a factor of 50 with a response time penalty of less than 2%, and a memory requirement of around 9 Kbytes. The list algorithm can reduce recovery time by a factor of 50 but cannot achieve a response time penalty of less than 16%.

关键词： software algorithms software performance Delay Hardware Random access memory Nonvolatile memory Computer crashes Read-write memory Databases File servers

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