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检索条件"主题词=software algorithms"

共 12474 条记录，以下是381-390 订阅

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Optimal BESS Scheduling with Real-Time Assessment for Time-of-Use Customers Using Particle Swarm Optimization

Optimal BESS Scheduling with Real-Time Assessment for Time-o...

引用

Power, Energy and Electrical Engineering (CPEEE), International Conference on

作者： Alioune Diouf Yasuhiro Noro Electrical Engineering and Electronics Program Kogakuin University Tokyo Japan Department of Electrical and Electronics Engineering Kogakuin University Tokyo Japan

ISBN: (数字)9798331520090

ISBN: (纸本)9798331520106

This study presents an optimal day-ahead operational scheduling strategy for a battery energy storage system(BESS) to achieve savings for a time-of-use(TOU) customer. This optimization problem is solved using a Particle Swarm Optimization(PSO) algorithm with an evaluation of its sensitivity to photovoltaic(PV) and load forecast errors. A new initialization process based on two non-optimized algorithms is proposed to enhance PSO convergence during the optimal scheduling process. By charging the BESS with surplus PV generation or during off-peak periods and discharging it during peak times or when contracted demand limits are exceeded, an initial particle population is provided as an input to the PSO. The state of charge(SOC) is maintained within the normal range by stopping the BESS output selected by the PSO as needed. The PSO's performance is assessed in real-time operation using historical PV and load data. The proposed method is simulated using MATLAB software to verify its effectiveness showing 17% and 10% cost saving over one day and one month, respectively. Additionally, the PSO demonstrates robust performance for forecast error under 10%.

关键词： Schedules Costs Sensitivity Electricity software algorithms Optimal scheduling Real-time systems software Scheduling Particle swarm optimization

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Power Factor Improvement in Regional Distribution Feeders with Optimal Allocation of Distributed Generators and Shunt Capacitors

Power Factor Improvement in Regional Distribution Feeders wi...

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Computing and Information Technology (ICCIT-1441), 2020 International Conference on

作者： Syed Naqi Haider Shah Asad Waqar Aamer Raza Saeed Mian Qaisar Essam A. Al-Ammar Muhammad Junaid Department of Electrical Engineering Bahria University Islamabad Pakistan Department of Electrical Engineering IESCO Islamabad Pakistan Electrical and Computer Engineering Department Effat University Jeddah Saudi Arabia Department of Electrical Engineering College of Engineering King Saud University KSA

ISBN: (数字)9798350353839

ISBN: (纸本)9798350353846

This paper critically assesses power factor (pf) compensation techniques for the regional distribution feeders, focusing on Distributed Generators (DGs) and shunt capacitors. Therefore, the research aims to identify the potential of distribution networks to maximize efficiency by combining the Backward Forward Sweep (BFS) with the Sea Horse Optimization (SHO) algorithm. Through extensive testing using Torrit software and the MATPOWER toolbox, the study primarily focuses on two scenarios: one type of the DGs known as type 2 DGs, which only injects the reactive power. One of the scenarios includes Q as a shunt capacitance, while the second model represents type 3 DGs that supply both active power (P) and reactive power (Q). The type 2 DG deployment reduces the reactive power loss in the network. On the other hand, the use of type 3 DGs leads to a significant enhancement of pf as well as enhancement of the voltage profile. Most notably, coordinating type 3 DGs with shunt capacitors reveals that they work well hand in hand, contributing to better network improvement. This study offers a specific analysis of DGs deployment for utility operators and presents a roadmap for aiding their decision-making process in efficiently analyzing power systems' optimization.

关键词： Hands Reactive power Capacitors software algorithms Voltage Power system stability Generators software Resource management Optimization

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AIOpsArena: Scenario-Oriented Evaluation and Leaderboard for AIOps algorithms in Microservices

AIOpsArena: Scenario-Oriented Evaluation and Leaderboard for...

引用

IEEE International Conference on software Analysis, Evolution and Reengineering (SANER)

作者： Yongqian Sun Jiaju Wang Zhengdan Li Xiaohui Nie Minghua Ma Shenglin Zhang Yuhe Ji Lu Zhang Wen Long Hengmao Chen Yongnan Luo Dan Pei Nankai University CNIC CAS Microsoft Bizbeer Tsinghua University

ISBN: (数字)9798331535100

ISBN: (纸本)9798331535117

AIOps algorithms playa crucial role in the mainte-nance of microservice systems. Many previous benchmarks' per-formance leaderboard provides valuable guidance for selecting appropriate algorithms. However, existing AIOps benchmarks mainly utilize offline static datasets to evaluate algorithms. They cannot consistently evaluate the performance of algorithms using real-time datasets, and the operation scenarios for evaluation are static, which is insufficient for effective algorithm selection. To address these issues, we propose an evaluation-consistent and scenario-oriented evaluation framework named AIOpsArena. The core idea is to build a live microservice benchmark to generate real-time datasets and consistently simulate the specific operation scenarios on it. AIOpsArena supports different leaderboards by selecting specific algorithms and datasets according to the operation scenarios. It also supports the deployment of various types of algorithms, enabling algorithms hot-plugging. At last, we test AIOpsArena with typical microservice operation scenarios to demonstrate its efficiency and usability. Platform and a video demonstrating the functioning of AIOpsArena is available from https://***/AIOpsArena/aiopsarena.

关键词： software algorithms Microservice architectures Benchmark testing Real-time systems software Usability

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Approach to Forming Vulnerability Datasets for Fine-Tuning AI Agents

Approach to Forming Vulnerability Datasets for Fine-Tuning A...

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International Russian Smart Industry Conference (SmartIndustryCon)

作者： Kirill Gladkikh Alexander A. Zakharov Information security department Tyumen State University Tyumen Russia

ISBN: (数字)9798331511241

ISBN: (纸本)9798331511258

This study addresses the problem of identifying vulnerabilities in open-source code by exploring existing methods of code analysis and evaluating the feasibility of automating security assessments using large language models (LLMs). We propose an approach for constructing high-quality datasets to fine-tune LLMs for software security analysis. Our methodology involves collecting and processing vulnerability data, filtering and curating security-related code changes, and structuring datasets to optimize model fine-tuning. We present an algorithm for aggregating vulnerability data sources and constructing a dataset specifically for training security-focused LLMs. To validate our approach, we fine-tune models from the Qwen family for software vulnerability detection in Python codebases during development and testing. Our findings demonstrate that the proposed method enables the development of intelligent, continuously adaptable AI agents capable of identifying and analyzing emerging zero-day vulnerabilities, not only in Python but also in other structurally similar programming languages.

关键词： Training Adaptation models Codes Filtering Large language models Soft sensors software algorithms Python Testing software development management

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Feistel-Type Structure-Based Construction of Linear Feedback Shift Registers

Feistel-Type Structure-Based Construction of Linear Feedback...

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2025 2nd International Conference on algorithms, software Engineering and Network Security (ASENS)

作者： Xinyue Zhang Daoguang Mu Hao Tan Wenzheng Zhang Xinfeng Dong National Key Laboratory of Security Communication Chengdu China

ISBN: (数字)9798331520298

ISBN: (纸本)9798331520304

In 2023, Academician Feng et al. proposed LOL, a highly flexible stream cipher algorithm design framework. This framework utilizes a Linear Feedback Shift Register (LFSR) based on Feistel structure to generate pseudorandom sequences efficiently. Our paper extends this concept by proposing a method for constructing LFSRs based on generalized Feistel-type structures. We analyze the permutation-based equivalence classification of this generalized construction and provide specific examples of maximal-period LFSRs constructed using generalized Feistel structures with 4 and 8 branches. Notably, compared to traditional Feistel-structured LFSRs, our approach reduces computational complexity by 1/2 and 3/4 for 4-branch and 8-branch designs, respectively. These structures offer improved adaptability on domestic CPU platforms lacking SIMD instruction set support, providing diverse options for cryptographic sequence generator design.

关键词： Ciphers Single instruction multiple data Linear feedback shift registers Instruction sets Surface resistance software algorithms Side-channel attacks Computational complexity Periodic structures software engineering

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Riverbed evolution simulation and application based on machine learning

Riverbed evolution simulation and application based on machi...

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2025 2nd International Conference on algorithms, software Engineering and Network Security (ASENS)

作者： Tingting Liao Yun Zhao Qianqian Jin Yu Cai Shanghai Survey and Design Research Institute Co. Ltd. China Taizhou Water Conservancy and Hydropower Survey and Design Institute Limited Taizhou China

ISBN: (数字)9798331520298

ISBN: (纸本)9798331520304

In the process of riverbed evolution, the hydrodynamic model and sediment transport model are generally used to decouple riverbed deformation. Based on the numerical simulation results of long-sequence riverbed evolution by machine learning, this paper compares and analyzes the differences between machine learning and numerical simulation results for the average scouring and silting results of river channels and characteristic points, summarizes and proposes a calculation method for machine learning to predict riverbed evolution, which greatly reduces the time required for riverbed scouring and silting simulation. At the same time, the proportion of training data is optimized and compared with the numerical simulation results. Machine learning is applied to riverbed evolution simulation, and the overall scouring and silting calculation error does not exceed 10%.

关键词： Deformable models Deformation software algorithms Training data Machine learning Numerical simulation Rivers Numerical models Sediments software engineering

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Development of an Automated Measurement System for Sapphire Glass Holes Based on Shape from Focus Method

Development of an Automated Measurement System for Sapphire ...

引用

IEEE International Conference on Consumer Electronics (ICCE)

作者： Yan-Rui Lin Chun-Yen Chu Ju-Yi Lee Department of Mechanical Engineering National Central University Taoyuan City Taiwan

ISBN: (数字)9798331521165

ISBN: (纸本)9798331521172

This research developed an automated system for positioning and measuring circular holes using the Shape from Focus technique, aimed at addressing the challenges of precise alignment and fully automated measurement of circular holes in sapphire glass. The system comprises both hardware components (such as a CCD camera, various lenses, lighting devices, and an electronically controlled displacement platform) and software components (developed in Python and C++). The process is divided into two stages: coarse and fine automated positioning of circular holes, followed by three-dimensional shape reconstruction. Among several focus value algorithms tested, the Scharr algorithm proved to be the most effective, yielding the smallest error compared to commercial equipment. Performance validation of the system shows that with a 20x objective lens, the measurement range is 425 µm by 355 µm, with lateral and longitudinal resolutions of 0.871 µm and 0.8 µm, respectively.

关键词： Solid modeling Three-dimensional displays Shape Shape measurement software algorithms Glass Position measurement Hardware software Lenses

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Estimation of distribution algorithms for testing object oriented software

Estimation of distribution algorithms for testing object ori...

引用

Congress on Evolutionary Computation

作者： Ramon Sagarna Andrea Arcuri Xin Yao Centre of Excellence for Research in Computational Intelligence and Applications School of Computer Science University of Binningham Birmingham UK

One of the main tasks software testing involves is the generation of the test cases to be used during the test. Due to its expensive cost, the automation of this task has become one of the key issues in the area. While most of the work on test data generation has concentrated on procedural software, little attention has been paid to object oriented programs, even so they are a usual practice nowadays. We present an approach based on estimation of distribution algorithms (EDAs) for dealing with the test data generation of a particular type of objects, that is, containers. This is the first time that an EDA has been applied to testing object oriented software. In addition to automated test data generation, the EDA approach also offers the potential of modelling the fitness landscape defined by the testing problem and thus could provide some insight into the problem. Firstly, we show results from empirical evaluations and comment on some appealing properties of EDAs in this context. Next, a framework is discussed in order to deal with the generation of efficient tests for the container classes. Preliminary results are provided as well.

关键词： software algorithms software testing Electronic design automation and methodology Containers Automatic testing System testing Costs Object oriented modeling Probability distribution software quality

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Fast sequential and parallel algorithms for label selection to obtain space efficient implementations in a software configuration management system

Fast sequential and parallel algorithms for label selection ...

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International Conference on Parallel Computing in Electrical Engineering (PARLEC)

作者： R. Greenlaw C. Shipley J. Wogulis Armstrong Atlantic State University Savannah USA StarBase Corporation Santa Ana CA USA

software configuration management (SCM) systems require the ability to maintain collections of a large number of specific versions of files. One technique for managing these configurations is to maintain a single time-stamp identifying which versions of the files belong to the configuration along with an exception list to that time-stamp. Given the individual time-stamps of n files represented by half-open intervals, we develop an O(n log n) tone sequential algorithm that finds a time-stamp leading to the smallest possible exception list. The technique is used in a commercial SCM system and works well in practice. We also develop a parallel version of the algorithm that runs in O(log n) time using n processors on an EREW-PRAM. If the intervals are sorted, the sequential algorithm runs optimally in O(n) time and the parallel algorithm runs optimally in O(log n) time using n/log n processors on an EREW-PRAM.

关键词： Parallel algorithms software maintenance software systems Computer science Drives software algorithms Documentation Optimizing compilers Operating systems

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Using DPSO and B&B algorithms for Hardware/software Partitioning in Co-design

Using DPSO and B&B Algorithms for Hardware/Software Partitio...

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International Conference on Computer Research and Development (ICCRD)

作者： Taees Eimuri Sara Salehi Islamic Azad University Parand Parand Iran Southampton UK

ISBN: (纸本)9781424469925;9780769540436

This paper presents a hybrid method based on Discrete Particle Swarm Optimization (DPSO) and Branch-and-Bound (B&B) algorithms to solve Hardware/software partitioning problems. In this approach, some pre-defined relations are used to present a formal solution for the partitioning problem. Then, DPSO is used to increase the speed of B&B. Results of experiments show that in case the problem has any optimal solution, proposed approach can find it in a better time, in addition to in the more formal manner.

关键词： Partitioning algorithms software algorithms Hardware Costs Signal processing algorithms Embedded software Embedded system software performance Clustering algorithms Particle swarm optimization

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