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The Evolution Mechanism of Correctness for Cyber-Physical System 网络物理系统正确性的进化机制
IF 0.9 4区 计算机科学 Q3 Computer Science Pub Date : 2024-04-01 DOI: 10.1142/s0218194024500153
Yanfang Ma, Liang Chen
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引用次数: 0
Consistency Checking for Refactoring from Coarse-grained locks to Fine-grained locks 从粗粒度锁重构到细粒度锁的一致性检查
IF 0.9 4区 计算机科学 Q3 Computer Science Pub Date : 2024-03-21 DOI: 10.1142/s0218194024500141
Yang Zhang, Jingjing Liu, Lin Qi, Grant Meredith
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引用次数: 0
Robotic Process Automation Efficiency for Mobile App Testing: An Empirical Investigation 移动应用程序测试的机器人流程自动化效率:实证调查
IF 0.9 4区 计算机科学 Q3 Computer Science Pub Date : 2024-03-21 DOI: 10.1142/s0218194024500116
Yuqiong Wang, Yuxiao Zhao, Xiang Wang, Weidong Tang, Jinhui Zhang, Shaolei Wang, Peng Wang, Jian Hu
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引用次数: 0
TRAFMEL: Multimodal entity linking based on Transformer Reranking and Multimodal Co-Attention Fusion TRAFMEL:基于变换器重排和多模态共关注融合的多模态实体链接
IF 0.9 4区 计算机科学 Q3 Computer Science Pub Date : 2024-03-21 DOI: 10.1142/s021819402450013x
Xiaoming Zhang, Kaikai Meng, Huiyong Wang
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引用次数: 0
An Ensemble Keyword Extraction Model for News Texts with Statistical and Graphical Features 利用统计和图形特征的新闻文本关键词提取组合模型
IF 0.9 4区 计算机科学 Q3 Computer Science Pub Date : 2024-03-21 DOI: 10.1142/s0218194024500128
Aiman Abibullayeva, Hüma Kılıç, Aydin Cetin
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引用次数: 0
Efficient Construction of Practical Python Call Graphs with Entity Knowledge Base 利用实体知识库高效构建实用 Python 调用图
IF 0.9 4区 计算机科学 Q3 Computer Science Pub Date : 2024-03-21 DOI: 10.1142/s0218194024500104
Yulu Cao, Lin Chen, Zhifei Chen, Jiacheng Zhong, Xiaowei Zhang, Linzhang Wang
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引用次数: 0
Modeling and Control of Drinking Water Supply Infrastructures Through Multi-Agent Systems for Sustainability 通过多代理系统对饮用水供应基础设施进行建模和控制以实现可持续性
IF 0.9 4区 计算机科学 Q3 Computer Science Pub Date : 2024-03-19 DOI: 10.1142/s0218194024500025
Carlos Calatayud Asensi, José Vicente Berná Martínez, Lucía Arnau Muñoz, Francisco Maciá Pérez

Traditionally, drinking water supply infrastructures have been designed to store as much water as possible and to do so during the energy cheap hours. This approach is unsustainable today. The use of digital systems capable of modeling the behavior of infrastructures and the creation of intelligent control systems can help to make drinking water supply systems more efficient and effective, while still meeting minimum service requirements. This work proposes the development of a control system, based on multi-agent systems (MAS), capable of generating an intelligent control over a drinking water infrastructure, based on the use of local interests of the agents and with an emergent behavior coherent with the needs. To validate the proposal, a simulator based on the infrastructures of a medium-sized Spanish city of 5000 inhabitants has been built and the control has been simulated using the MAS. The results show how the system can maintain the objectives set, handling unknown situations, and facilitating the development of future physical systems based on a just-in-time paradigm that guarantees sustainability, as it allows the generation of virtualizations of the infrastructures and their behavior, thus being able to study the best option for an infrastructure to resolve a supply situation.

传统上,饮用水供应基础设施的设计目的是尽可能多地储水,并在能耗低的时段储水。如今,这种方法已难以为继。使用能够模拟基础设施行为的数字系统和创建智能控制系统,有助于提高饮用水供应系统的效率和效益,同时还能满足最低服务要求。这项工作建议开发一个基于多代理系统(MAS)的控制系统,该系统能够对饮用水基础设施进行智能控制,其基础是利用代理的本地兴趣和符合需求的新兴行为。为了验证该建议,我们以西班牙一个拥有 5000 名居民的中型城市的基础设施为基础,建立了一个模拟器,并使用 MAS 对控制进行了模拟。结果表明,该系统能够保持既定目标,处理未知情况,并促进未来基于及时范例的物理系统的发展,从而保证可持续性,因为它允许生成基础设施及其行为的虚拟化,从而能够研究基础设施解决供应问题的最佳方案。
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引用次数: 0
How did COVID-19 Impact Software Design Activities in Global Software Engineering - Systematic Review COVID-19 如何影响全球软件工程中的软件设计活动 - 系统回顾
IF 0.9 4区 计算机科学 Q3 Computer Science Pub Date : 2024-03-08 DOI: 10.1142/s0218194024500098
Mahum Adil, Ilenia Fronza, Claus Pahl
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引用次数: 0
Model-driven Approach for Making Citizen Science Data FAIR 使公民科学数据 FAIR 的模型驱动法
IF 0.9 4区 计算机科学 Q3 Computer Science Pub Date : 2024-03-01 DOI: 10.1142/s0218194024500074
Reynaldo Álvarez Luna, Irene Garrigós, J. Zubcoff, César González-Mora
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引用次数: 0
Improving windows malware detection using the random forest algorithm and multi-view analysis 利用随机森林算法和多视角分析改进窗口恶意软件检测
IF 0.9 4区 计算机科学 Q3 Computer Science Pub Date : 2024-03-01 DOI: 10.1142/s0218194024500086
S. S. Suhaila, K. S. Krishnan
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引用次数: 0
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International Journal of Software Engineering and Knowledge Engineering
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