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检索条件"主题词=software algorithms"

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Ant Colony Algorithm for Solving Multi-objective Optimization Problems in software Engineering

Ant Colony Algorithm for Solving Multi-objective Optimizatio...

引用

Intelligent algorithms for Computational Intelligence Systems (IACIS), International Conference on

作者： Hengji Cui Yan Du Dalian Neusoft University of Information Dalian China

ISBN: (数字)9798350360660

ISBN: (纸本)9798350360677

With multi-objective becoming more and more important, ant colony algorithm has become an ideal tool to solve multi-objective optimization problems because of its unique positive feedback and distributed computing characteristics. This study explores the application of ant colony algorithm and its variants in multi-objective optimization problems of software engineering, especially the performance of ant colony system, and compares it with hybrid ant colony algorithm (HACO) and adaptive ant colony algorithm (AACO). The experimental results show that ACS is superior to AACO and HACO in convergence, execution time and solution set coverage. In particular, the maximum generation distance (GD) of ACS is only 0.2; The maximum execution time is 522ms, and the coverage rate is 80.3%-96.7%. These results confirm the outstanding performance of ACS algorithm in solving multi-objective optimization problems in software engineering.

关键词： Adaptive systems software algorithms Distributed computing Optimization Computational intelligence software engineering Convergence

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Personalized Health Plan Recommendation Algorithm Based on User Data of Network Sports software

Personalized Health Plan Recommendation Algorithm Based on U...

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Data Analytics, Computing and Artificial Intelligence (ICDACAI), International Conference on

作者： Xin Zhao Department of Physical Education Zibo Normal College Zibo China

ISBN: (数字)9798331519032

ISBN: (纸本)9798331519049

As an emerging fitness method, online sports software has been favored by a large number of users, but it cannot record user exercise data, which affects the execution of fitness plans by users. A personalized health plan recommendation algorithm based on user data of network sports software was studied to address this issue. The algorithm used deep learning technology to train user sports data and achieve personalized fitness plan recommendation. The experimental results showed that the final mean absolute error of the algorithm has been reduced to around 0.02, which not only effectively improves the recommendation performance of the recommendation algorithm, but also helps users effectively execute health plans.

关键词： Training Deep learning Data analysis software algorithms Learning (artificial intelligence) software Sports

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Artificial Intelligence in System and software Engineering for Auto Code Generation

Artificial Intelligence in System and Software Engineering f...

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Electrical Electronics and Computing Technologies (ICEECT), International Conference on

作者： Anupriya Sharma Ghai Vandna Rawat Vishan Kumar Gupta Kapil Ghai School of Computing Graphic Era Hill University Dehradun India Department of Computer Science Engineering Graphic Era Deemed to be University Dehradun India School of Engineering and Technology Amity University. Punjab Mohali India Department of Chemistry Graphic Era Hill University Dehradun India

ISBN: (数字)9798350378092

ISBN: (纸本)9798350378108

Artificial Intelligence has profoundly impacted system and software engineering by facilitating the automation of complicated tasks, reducing errors, and accelerating the development process. AI-driven tools help enhance efficiency, improve code quality, and promote the generation of more adaptive and innovative software solutions. The present research uses AI-generated tools to explore how AI transforms code synthesis. The study will include a comparative analysis of the performance of manual coding and other automated methods to explore how AI can accelerate code synthesis and make modern web development more competent or effective. It is suggested in the research that with algorithmic and contextual consideration, the quality of code developed by the AI would be higher in most cases than by people due to lower error rates and shorter synthesis. Overall, the central conclusion of the research is that AI plays a crucial role in transforming systems and software engineering. The paper also includes information on ethical dilemmas, robust validation mechanisms, conservative modes, and current research.

关键词： Ethics Codes Error analysis software algorithms Transforms Manuals software Encoding Artificial intelligence software engineering

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QoS Aware Routing Approaches in software Defined Smart Grids

QoS Aware Routing Approaches in Software Defined Smart Grids

引用

International Conference on Computer Science and Engineering (UBMK)

作者： Sedef Demirci Department of Computer Engineering Faculty of Engineering Gazi University Ankara Türkiye

ISBN: (数字)9798350365887

ISBN: (纸本)9798350365894

software-defined n etworking (SDN) is a promising technology for future smart grid (SG) systems, since SGs heavily rely on communication networks. With SDN, communication network part of SGs becomes programmable by abstracting control logic from routing devices and assigning this task to a logically centralized controller. Thus, in software-defined smart grids, traffic flows can be or chestrated and routed easily. A software-defined smart grid serves different types of traffic flows originating from different types of SG applications such as smart metering, distribution automation, and demand response, etc. These heterogeneous traffic h ave d ifferent Q oS requirements in terms of data rate, latency, reliability, and security, etc., Therefore, providing QoS aware routing mechanisms becomes inevitable for software defined s mart grids. In this study, we classify QoS aware routing approaches according to their QoS goals. We review existing works, and discuss algorithmic and mathematical approaches. Finally, we identify open research issues and present future research directions. To the best of our knowledge, this is the first study that focuses QoS aware routing strategies for SDN-based SGs.

关键词： Reviews software algorithms Quality of service Routing software Smart grids software reliability Communication networks Security software defined networking

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Path Structured Multimarginal Schrödinger Bridge for Probabilistic Learning of Hardware Resource Usage by Control software

Path Structured Multimarginal Schrödinger Bridge for Probab...

引用

American Control Conference (ACC)

作者： Georgiy A. Bondar Robert Gifford Linh Thi Xuan Phan Abhishek Halder Department of Applied Mathematics University of California Santa Cruz CA USA Department of Computer and Information Science University of Pennsylvania Philadelphia PA USA Department of Aerospace Engineering Iowa State University Ames IA USA

ISBN: (数字)9798350382655

ISBN: (纸本)9798350382662

Solution of the path structured multimarginal Schrödinger bridge problem (MSBP) is the most-likely measure-valued trajectory consistent with a sequence of observed probability measures or distributional snapshots. We leverage recent algorithmic advances in solving such structured MSBPs for learning stochastic hardware resource usage by control software. The solution enables predicting the time-varying distribution of hardware resource availability at a desired time with guaranteed linear convergence. We demonstrate the efficacy of our probabilistic learning approach in a model predictive control software execution case study. The method exhibits rapid convergence to an accurate prediction of hardware resource utilization of the controller. The method can be broadly applied to any software to predict cyber-physical context-dependent performance at arbitrary time.

关键词： Bridges software algorithms Stochastic processes Probabilistic logic software Hardware Trajectory

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Design of Embedded Intelligent Control System Hardware and software Based on Dynamic Programming Algorithm

Design of Embedded Intelligent Control System Hardware and S...

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Energy, Power and Electrical Technology (ICEPET), International Conference on

作者： Houbin Song Xiaolong Huang Yukun Zhang Hongbo Qiu Wei Han Jing Yan Shuai Wang Wenqi Xie College of Energy and Power Engineering Lanzhou University of Technology Lanzhou China College of Electrical and Information Engineering Lanzhou University of Technology Lanzhou China Electrical and Information Engineering Institute Zhengzhou University of Light Industry Zhengzhou China

ISBN: (数字)9798350352658

ISBN: (纸本)9798350352665

Traditional electrical devices struggle to adjust flexibly according to user demands. To address the issue of energy loss resulting from prolonged, uninterrupted use of these devices, this paper proposes an embedded intelligent control system designed using the dynamic programming algorithm, incorporating both hardware and software aspects. Firstly, the overall scheme of the intelligent control system is devised, considering aspects such as energy supply and consumption modes, user-end data collection and processing, bidirectional transmission of cloud data, system protection, and status display. Secondly, the hardware circuit of the system is designed according to the proposed concept, comprising the main control circuit, power conversion circuit, information collection circuit, action circuit, and status indication circuit. Subsequently, the system’s software is compiled based on the Arduino platform and OneNET’s MQTT protocol, integrating the dynamic programming algorithm to enable local and internet joint control and debugging. This aims to achieve a balance between supply-side and demand-side comprehensive indicators, thereby enhancing the economic efficiency and comfort of electrical devices. Finally, a comparative analysis is conducted on the differences observed before and after implementing the system in a university’s water dispenser, confirming the intelligent control system’s favorable balance between energy conservation and user experience. The widespread adoption of this intelligent control system in the future will contribute to advancing the intelligent control of electrical devices and promoting the efficient utilization of energy.

关键词： Heuristic algorithms software algorithms Energy conservation software Hardware Dynamic programming Personnel

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Hardware-software Prototyping of a Multichannel Frequency-Modulated Continuous Wave Radar

Hardware-Software Prototyping of a Multichannel Frequency-Mo...

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IEEE International Conference on Electrical Engineering and Photonics (EExPolytech)

作者： Alexander A. Fedotov Vitaly S. Andrianov Vladimir D. Kuptsov Sergei I. Ivanov Institute of Computer Sciences and Technologies Peter the Great St. Petersburg Polytechnic University Saint Petersburg Russia Institute of Electronics and Telecommunications Peter the Great St. Petersburg Polytechnic University Saint Petersburg Russia

ISBN: (数字)9798350388879

ISBN: (纸本)9798350388886

A hardware and software module of the FMCW radar based on the AWR1243BOOST prototyping board from Texas Instruments has been developed and implemented. It allows implementing the full range of functions of the AWR1243 radar chip. The results of experimental testing of the radar for measuring the range, speed and angle of the target are presented, confirming the possibility of creating prototypes of modern FMCW radars.

关键词： Semiconductor device measurement Radar measurements software algorithms Radar Radar antennas software Radar signal processing Antenna arrays Videos Testing

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Dataset: Copy-based Reuse in Open Source software

Dataset: Copy-based Reuse in Open Source Software

引用

International Mining software Repositories, MSR

作者： Mahmoud Jahanshahi Audris Mockus University of Tennessee Knoxville USA University of Tennessee Vilnius University Knoxville USA

ISBN: (数字)9798400705878

ISBN: (纸本)9798350363982

In Open Source software, the source code and any other resources available in a project can be viewed or reused by anyone subject to often permissive licensing restrictions. In contrast to some studies of dependency-based reuse supported via package managers, no studies of OSS-wide copy-based reuse exist. This dataset seeks to encourage the studies of OSS-wide copy-based reuse by providing copying activity data that captures whole-file reuse in nearly all OSS. To accomplish that, we develop approaches to detect copybased reuse by developing an efficient algorithm that exploits World of Code infrastructure: a curated and cross referenced collection of nearly all open source repositories. We expect this data will enable future research and tool development that support such reuse and minimize associated *** CONCEPTS•software and its engineering → software creation and management; • General and reference → Empirical studies.

关键词： Codes Source coding software algorithms Data mining Open source software

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MPC4RL - A software Package for Reinforcement Learning based on Model Predictive Control

MPC4RL - A Software Package for Reinforcement Learning based...

引用

IEEE Conference on Decision and Control

作者： Dirk Reinhardt Katrin Baumgärtner Jonathan Frey Moritz Diehl Sebastien Gros Department of Engineering Cybernetics Norwegian University of Science and Technology Trondheim Norway Department of Microsystems Engineering University Freiburg Freiburg Germany

ISBN: (数字)9798350316339

ISBN: (纸本)9798350316346

In this paper, we present an early software integrating Reinforcement Learning (RL) with Model Predictive Control (MPC). Our aim is to make recent theoretical contributions from the literature more accessible to both the RL and MPC communities. We combine standard software tools developed by the RL community, such as Gymnasium, stable-baselines3, or CleanRL with the acados toolbox, a widely-used software package for efficient MPC algorithms. Our core contribution is MPC4RL, an open-source Python package that supports learning-enhanced MPC schemes for existing acados implementations. The package is designed to be modular, extensible, and user-friendly, facilitating the tuning of MPC algorithms for a broad range of control problems. It is available on GitHub.

关键词： Training software packages software algorithms Reinforcement learning Prediction algorithms Libraries software tools Tuning Standards Predictive control

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A Method Based on Intellectual Technologies of Data Interoperability Between software Tools

A Method Based on Intellectual Technologies of Data Interope...

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Annual Siberian Russian Workshop on Electron Devices and Materials (EDM)

作者： Andreas Winter Oybek Allamov Babajanov Boburbek Qodirov Fakhriddin Khujamuratov Bekmurod Shakhlo Allamova Software Engineering Group Carl von Ossietzky University Oldenburg Oldenburg Germany Software Engineering department Urgench Branch of Tashkent University of Information Technology named after Muhammad al Khwarizmi Urgench Uzbekistan Urgench Branch of Tashkent University of Information Technology named after Muhammad al Khwarizmi Urgench Uzbekistan Teacher of Software Engineering Urgench Branch of Tashkent University of Information Technology named after Muhammad al Khwarizmi Urgench Uzbekistan

ISBN: (数字)9798350389234

ISBN: (纸本)9798350353051

The article explores the potential for exchanging information between software tools using the KNIME program. It provides recommendations on utilizing data preprocessing models, methods, and algorithms for data sharing, and offers examples to illustrate these concepts. The article also discusses the capabilities of KNIME for exchanging information between software tools without the need for coding, such as analyzing and sharing data between databases and making predictions based on the data. The article specifically addresses the issue of geo-location of scooters in use in smart cities and the distribution of scooters over a certain period of time. This includes the number of scooters in use and idle at different times of the day, as well as demand data and real data obtained from statistical systems based on weather data. The article also discusses how KNIME can be used to solve regression problems and predict the daily distribution of scooter usage for each station. KNIME is a powerful program that utilizes intelligent technologies for data interoperability between software tools, making it an effective tool for solving forecasting problems and integrating data.

关键词： Databases Smart cities software algorithms Motorcycles Organizations Prediction algorithms software tools

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