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2024 3rd international conference on Power, Control and computing Technologies, ICPC2T 2024

2024 3rd International Conference on Power, Control and Comp...

引用

3rd international conference on Power, Control and computing Technologies, ICPC2T 2024

ISBN: (纸本)9798350349207

The proceedings contain 146 papers. The topics discussed include: trajectory tracking controller design for percutaneous interventional procedures;Bregman divergence based approach for adaptive system identification and line enhancement;real-time hardware-in-loop testbed for power system analysis;regularized hybrid deep learning for DDoS attack prediction in software defined Internet of Things (SD-IoT);investigation of core loss in electric vehicle induction motor using finite element analysis for performance enhancement;fault-tolerant strategy for asymmetrical half-bridge converter in switched reluctance motor drives;protection coordination impact on reliability of distribution systems.with distributed energy resources;and design and control of shunt active power filter for power quality improvements with PV array.

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3rd international Workshop on Industrial Recommendation systems.(IRS) 24

3rd International Workshop on Industrial Recommendation Syst...

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33rd ACM international conference on Information and Knowledge Management (CIKM)

作者： Ma, Luyi Li, Xiaohan Ahmadi, Kamilia Xu, Jianpeng Yu, Philip S. Karypis, George Walmart Global Tech Sunnyvale CA 94086 USA Warner Bros Discovery San Francisco CA USA Univ Illinois Chicago IL USA Univ Minnesota Minneapolis MN USA

ISBN: (纸本)9798400704369

Recommendation systems.are used widely across many industries, such as e-commerce, multimedia content platforms, and social networks, to provide suggestions that users will most likely consume or connect, thus improving the user experience [1]. This motivates people in industry and research organizations to focus on personalization and recommendation algorithms, resulting in many research papers [2, 3]. While academic research mostly focuses on the performance of recommendation algorithms in terms of ranking quality or accuracy, it often neglects key factors that impact how a recommendation system will perform in a real-world environment, including but not limited to business metric definition and evaluation, scalability, recommendation quality control, robustness, fairness, and resource limitations, such as computing and memory resources budgets, engineering workforce cost, etc. The gap in constraints and requirements between academic research and industry limits the broad applicability of many of academia's contributions to industrial recommendation systems. This workshop aspires to bridge this gap by bringing together researchers from both academia and industry. Its goal is to serve as a venue for industrial researchers to share practical insights and for academic researchers to become aware of the additional factors of algorithm adoption in real production systems.

关键词： Industrial Recommendation systems E-commerce Personalization

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proceedings of the 3rd international conference on 6G Networking, 6GNet 2024

Proceedings of the 3rd International Conference on 6G Networ...

引用

3rd international conference on 6G Networking, 6GNet 2024

ISBN: (纸本)9798350378597

The proceedings contain 43 papers. The topics discussed include: DoA estimation in Ris-assisted network via element sampling and sparse reconstruction;optical- and induction-based data and energy networking in light-based Internet of Things;a scalable and distributed hierarchical architecture for network monitoring-on-demand;pragmatic semantic communication through quantum channel;ML-based anomaly detection in 6G networks: a survey on the current status, challenges, and future directions;the impact of positional accuracy in 6G networks on urban traffic participant classification;fundamental and practical performance assessment in monostatic ISAC: from sub-6GHz to sub-THz;and profiling ai models: towards efficient computation offloading in heterogeneous edge AI systems.

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QoS-guided dynamic reconfiguration algorithm for distributed cluster services based on HBW-GOA 24

QoS-guided dynamic reconfiguration algorithm for distributed...

引用

3rd international conference on Cryptography, Network Security and Communication Technology (CNSCT)

作者： Guo, Xiaofeng Zhuang, Yi Nanjing Univ Aeronaut & Astronaut Nanjing Peoples R China

ISBN: (纸本)9798400716959

In order to adapt to the dynamic changes of the network service environment in distributed clusters, achieve more efficient service reconfiguration, and improve the availability, reliability and flexibility of distributed cluster systems. this paper proposes a QoS-guided distributed cluster service dynamic reconfiguration algorithm based on HBW-GOA (Hybrid Black Widow and Grasshopper Optimization Algorithm). The HBW-GOA algorithm mixes the mutation mechanism in the Black Widow Algorithm and the inter-population influence mechanism in the Locust Algorithm, which improves the overall convergence speed of the algorithm and the quality of the solution. In order to balance the performance of the distributed system and the quality of service for users, this paper designs QoS metrics applicable to distributed cluster systems.as a fitness function to guide the iterative behavior of individuals in the algorithm. Comparative simulation experimental results show that the algorithm proposed in this paper can accelerate the service reconfiguration time, can reduce the overall energy consumption of the system, and improve the resource utilization and service quality.

关键词： distributed clustering service reconfiguration QoS hybrid intelligent algorithms

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The Application of Digital Empowerment Combined with Intelligent Algorithms of Computer Technology in Decision Support systems 3

The Application of Digital Empowerment Combined with Intelli...

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3rd international conference on Integrated Circuits and Communication systems. ICICACS 2025

作者： Lu, Wan Chen, Li Gao, Fei Wang, Chang Wuhan Windoor Information & Technology Co. Ltd Hubei Wuhan China

ISBN: (纸本)9798331508456

Traditional decision support systems.(DSS) show obvious limitations in dealing with increasingly complex and dynamic decision-making scenarios. By integrating graph neural networks (GNNs) and expert systems.(ESs), this paper constructs a new IDSS framework aimed at improving decision-making efficiency and accuracy. In terms of research methods, large-scale distributed computing is performed in the cloud based on parallel computing technology;the logical reasoning of expert systems.and the self-learning ability of graph neural networks are combined to achieve dynamic updates and efficient processing of data by unstructured knowledge bases. Compared with traditional DSS, the accuracy of IDSS based on the fusion of GNNs and ES in financial forecasting and risk assessment scenarios is improved to more than 90%, and resource utilization is significantly optimized. This study shows that the integrated application of intelligent algorithms has broad prospects in improving the dynamic adaptability of decision support systems.and coping with complex decision-making environments. © 2025 IEEE.

关键词： distributed cloud

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Protection Coordination Impact on Reliability of Distribution systems.with distributed Energy Resources 3

Protection Coordination Impact on Reliability of Distributio...

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3rd international conference on Power, Control and computing Technologies, ICPC2T 2024

作者： Kumari, Rani Naick, Bhukya K. Dept. of Electrical Engineering Dhanbad India

ISBN: (纸本)9798350349207

The effectiveness and reliability of a power distribution system hinge on the establishment and maintenance of efficient coordination between protective relays. Alongside the prevention of unwarranted overloads, inadequate coordination among relays may lead to an increased likelihood of revealing concealed failures within crucial components of the protection system, like Circuit Breakers. To assess the potential degradation of system reliability due to protection system malfunctions, this study proposes the utilization of a Markov model (MM) in combination with a Monte Carlo simulation (MCS) algorithm. Furthermore, the study also addresses the impact of the protective equipment mis-coordination on the concealed failure of protection systems. Subsequently, using a modified Canadian benchmark distribution system, the study computes the reliability indices of System Average Interruption Duration Index (SAIDI) and Expected Energy Not Supplied (EENS) for three distinct scenarios characterized by varying relay settings and protection coordination. The findings are subsequently presented to demonstrate how miscoordination of protection systems.within the distribution network can affect the overall system reliability. © 2024 IEEE.

关键词： Electric circuit breakers

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Calculation of Induced Voltage in Electrical Engineering Based on 3DE Platform 3

Calculation of Induced Voltage in Electrical Engineering Bas...

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3rd international conference on Data Analytics, computing and Artificial Intelligence, ICDACAI 2024

作者： Yang, Jie Li, Bingjie Jing, Feng Li, Xizhe Zhang, Yuxuan Northwest Engineering Corporation Limited Shaanxi Xi'an710065 China Xi'an Anto Computer Network System Integration Co. Ltd. Shaanxi Xi'an710061 China

ISBN: (纸本)9798331519032

The development of the national economy cannot be separated from the stable support of the power industry. As an indispensable and important energy source in modern social life and production, the stable supply of electricity plays a crucial role in maintaining the sustainable development of the national economy and the normal order of people's lives. However, during the maintenance and repair of transmission lines, the induced voltage and current generated between the lines have become important factors threatening the safety of personnel. In order to effectively evaluate and control these potential safety risks, this paper proposes an electrical induction voltage calculation algorithm based on the 3DE platform. This algorithm fully utilizes the powerful functions of 3DE platform in 3D modeling, electromagnetic field simulation, and data analysis, and can achieve accurate calculation of induced voltage in complex electrical systems. The experimental results show that the algorithm has high computational accuracy and stability, and can accurately predict the magnitude and distribution of induced voltage under different conditions, providing strong technical support for the safe maintenance and repair of electrical systems. © 2024 IEEE.

关键词： Digital elevation model

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Research on Storage and Query Optimization Algorithm of distributed Database for Big Data 3

Research on Storage and Query Optimization Algorithm of Dist...

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3rd international conference on Data Analytics, computing and Artificial Intelligence, ICDACAI 2024

作者： Liu, Lixia College of Information Engineering Engineering University of PAP Shaanxi Xi'an710086 China

ISBN: (数字)9798331519032

ISBN: (纸本)9798331519032

This paper deeply discusses the storage and query optimization algorithm of distributed database for big data. Firstly, the importance of distributed database storage optimization is analyzed, and key technologies such as column storage technology, data backup and consistent hash algorithm are introduced. Then, the distributed database query optimization algorithm is mainly studied, and an innovative algorithm combining semi-join, direct join and hash partition equijoin strategy is proposed, and the query plan is dynamically adjusted by introducing an intelligent prediction model to maximize the query performance. The experimental results show that the algorithm has significantly improved the storage efficiency and query performance, which proves its effectiveness and application prospect in the big data environment. Future research will focus on further improving the adaptability and generalization ability of the algorithm to cope with more complex data scenarios and query requirements. © 2024 IEEE.

关键词： Structured Query Language

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Digital Test Platform of Train Control System Based on distributed Hybrid Cloud Platform 3

Digital Test Platform of Train Control System Based on Distr...

引用

3rd international conference on Cloud computing, Big Data Application and Software Engineering, CBASE 2024

作者： Qiu, Zhaoyang Zhang, Shuming Wen, Jiakun Institute Group Co Ltd Test & Verification Center China Railway Signal and Communication Research and Design Beijing China

ISBN: (纸本)9798331506582

With the continuous development of train operation control technology, the iteration of train operation control systems.has been accelerated, leading to an increasing workload of system testing. Currently, most system tests rely on manual construction of test scenarios in semi-physical simulation testing environments, resulting in high workload for testers, low testing efficiency, and poor test coverage. To address these issues, this paper proposes the construction of a digital system testing platform for rail transit signaling systems.based on a distributed hybrid cloud platform. First, the system framework of the distributed hybrid cloud platform is designed. Then, an automatic deployment scheme for the test environment based on templates is devised. Following that, a digital testing toolchain is developed. Ultimately, a digital testing platform for train control systems.based on the distributed hybrid cloud platform is established, achieving automation, intelligence, and digitization of system testing. © 2024 IEEE.

关键词： Cloud platforms

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Construction and Operation of a Generative Artificial Intelligence-Assisted Language Learning System 3

Construction and Operation of a Generative Artificial Intell...

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3rd IEEE international conference on distributed computing and Electrical Circuits and Electronics, ICDCECE 2024

作者： Cao, Yilu Lu, Haoyu Zhou, Yingping Gao, Jiahui Wang, Han Jiao, Yabei College Of Foreign Languages Chongqing University Of Technology Chongqing China College Of Computer Science And Engineering Chongqing University Of Technology Chongqing China School Of Accountancy Chongqing University Of Technology Chongqing China Liangjiang International College Chongqing University Of Technology Chongqing China

ISBN: (纸本)9798350318609

The generative artificial intelligence-assisted language learning system is a system that utilizes artificial intelligence technology. It provides users with more personalized and efficient language learning services through core modules such as generative pre-trained models and personalized learning engines, It is currently one of the significant applications of artificial intelligence technology in the field of language learning. This paper aims to introduce the design, construction, and operation of a generative artificial intelligence-assisted language learning system. In this system, the generative pre-trained model GPT -3.5 is employed, incorporating core modules such as natural language processing, generative adversarial networks, and Transformer models. This paper also conducts detailed research and analysis on aspects such as text generation quality in the system, response time testing of the model within the system, and feedback on system application scenarios. Through the research presented in this paper, valuable reference and guidance can be provided for the development and application of generative artificial intelligence-assisted language learning systems. © 2024 IEEE.

关键词： Engines

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