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Survey of the Application of Privacy computing Technology in the Electric-power Industry 6

Survey of the Application of Privacy Computing Technology in...

引用

6th IEEE international conference on Electronics and Communication Engineering, ICECE 2023

作者： Sun, Junfang Gou, Xiaokan State Grid Qinghai Information & Telecommunication Company Xining China State Grid Qinghai Electric Power Company Xining China

ISBN: (纸本)9798350328721

With the advent of the Internet and big data era, the value of data is becoming increasingly significant and plays an increasingly important role in various fields. However, it also brings various problems, including data privacy and security. The power industry has collected and stored massive amounts of electricity data. It is particularly urgent to solve the contradiction between the security privacy protection and data sharing of these power big data, and realize the goal that the original data will not be exported, but the data "value"and "knowledge"will be exported. This paper sort out the application of privacy computing technology in the power industry through domestic and foreign literature surveys. This paper analyzes in detail how Secure multi-party computation, Federated learning, Trusted execution environment and other privacy computing technologies can solve the problem of sensitive data and privacy data protection in data sharing in the power industry. On this basis, a privacy protection framework suitable for the power industry based on privacy computing technology is proposed. Then, the impact of privacy computing technology on the power industry was summarized, as well as some challenges that may be encountered during implementation. At the end of the article, potential research directions and technological applications were pointed out, hoping to promote the development of privacy protection in the power industry. © 2023 IEEE.

关键词： Sensitive data

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Performance Analysis and Measurement of Geospatial Fog-Cloud computing System for Data Storage, Visualizations and Analysis 1

Performance Analysis and Measurement of Geospatial Fog-Cloud...

引用

1st international conference on Cognitive, Green and Ubiquitous computing, IC-CGU 2024

作者： Goswami, Veena Kandpal, Meenakshi Behera, Satyaban Qurashi, Shahazad N. Mund, G.B. Barik, Rabindra K. School of Computer Applications KIIT Deemed to be University Bhubaneshwar India OUTR Department of CSE Bhubaneshwar India School of IST GM University Sambalpur India Jazan University Kingdom of Saudi Arabia Department of Health Informatics College of PHTM Saudi Arabia

ISBN: (纸本)9798350361780

Geospatial Cloud and fog computing have experienced significant growth due to advanced Information and Communication Technology (ICT) that enables geospatial web services. These technologies are known for their robust computing infrastructure, which supports various services for smart city, smart health, smart grid, and smart transportation. To meet Quality of Service (QoS) needs, distributed computing technologies like geospatial cloud and fog computing are used together to provide more specific degrees of granularity. Lately, researchers have been investigating the use of fog in geospatial cloud systems to enhance the efficiency of data storage, visualizations and analysis. This research paper enhances the performance of a Geospatial Fog-Cloud system by doing a thorough investigation and evaluation of the performance of models used for data storage, visualizations and analysis. This work provides a compre-hensive system model and utilizes suitable M / M /1 queueing with balking models to analyze the performance. The effectiveness of the proposed analytical queueing model is demonstrated by simulation experiments conducted using MAPLE 18 tool. These tests analyse multiple scenarios and assess the average number of requests in the system, as well as the projected cycle time that a request spends in the system for different parameters. © 2024 IEEE.

关键词： Fog computing

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Sensitive Floral Exploring Fractal Tree Data Structures with grid Computation in Real-Time Generative Graphical System for Mimic the Reactive Characteristics of Mimosa Pudica 11

Sensitive Floral Exploring Fractal Tree Data Structures with...

引用

11th international conference on Digital and Interactive Arts (ARTECH) - Digital Creation Processes

作者： Huang, Scottie Chih-Chieh Natl Tsing Hua Univ BioLogicDesign Grp Hsinchu Taiwan

ISBN: (纸本)9798400708725

"Sensetive Floral" is an interactive, generative artwork that ventures into the exploration of a unique generative system, biomimetically emulating the reactive behaviors of the Mimosa pudica plant. By synthesizing the complexity of fractal tree data structures with the Cellular Automata (CA) mechanisms of grid computations, the artwork elegantly mirrors nature's adaptive and responsive traits. This approach unveils the potential of generative design, harnessing coding rules and geometric relationships within parameters to shape biomimetic aesthetics. The interactive interface allows users to initiate a ripple of movement by simply touching the screen, triggering a cascade of changes across thousands of leaves, akin to the group leaf movements observed in Mimosa pudica. This subtle yet intricate dance of digital flora not only reflects the beauty of natural phenomena but also opens further opportunities for expression in shape and movement behavior, promising a vast array of applications in the field of tech-art and human-computer interaction.

关键词： Generative Design Artificial Life Art Cellular Automata grid computing Fractal Tree

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A SPB based LB Algorithm in Order to Schedule the Sequence Task in CCS 4

A SPB based LB Algorithm in Order to Schedule the Sequence T...

引用

4th IEEE international conference on Advance computing and Innovative Technologies in Engineering, ICACITE 2024

作者： Bindu, G. B. Hima Manjula, L. Tellur, Anil Vincy Devi, V.K. Nasrulaah, Najlaa Muhsin, Omar The Apollo University Department of Cse School of Technology Chittoor India The Oxford College of Engineering Department of Computer Science and Engineering Bangalore India Karnataka Bengaluru India Adi Shankara Institute of Engineering&Technology Department of Computer Applications kalady India National University of Science and Technology Faris Collage of Nursing Dhi Qar64001 Iraq Al-Farahidi University Baghdad Iraq

ISBN: (纸本)9798350360165

The increasing pervasiveness of computers in almost every aspect of our everyday lives has led to a commensurate rise in the need for computing resources, including bandwidth, processing power, and storage space. Originally, computer networks were created to address this difficulty, which helped ideas and paradigms like distributed computing, grid computing, and cluster computing to develop. But providing such services calls for advanced methods to effectively handle workloads and quickly attend to customer demands. One of the major problems with cloud computing is load balancing, which is a vital procedure that distributes work among virtual computers to avoid excess or underuse. In order to support the increasing number of users, the algorithms controlling this work assignment need to balance robustness with efficient use of resources. The related costs and hazards increase, especially for larger organisations, which emphasises how crucial it is to evaluate the risks involved in deploying load balancing algorithms in order to achieve desired service levels. Assessing the algorithms, applications, and rules in a virtualized setting is a useful method for risk assessments. With the use of simulation tools, one may practically mimic the intricacies of actual cloud settings and gain insights into possible problems and performance. As a powerful simulation toolset, CloudSim is intended to fully represent and simulate various cloud environments. It makes experimentation and optimisation easier by providing the ability to design and test different load balancing algorithms and cloud broker policies. © 2024 IEEE.

关键词： Cluster computing

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2024 4th international conference on Artificial Intelligence and Industrial Technology applications

2024 4th International Conference on Artificial Intelligence...

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2024 4th international conference on Artificial Intelligence and Industrial Technology applications, AIITA 2024

The proceedings contain 108 papers. The topics discussed include: fuzzy PID control based on genetic algorithm optimization inverted pendulum system;multi-task recognition of modulation types and arrival directions of underwater acoustic signals based on convolutional neural networks;localization and detection of underwater acoustic communication signals using convolutional recursive neural networks;online trajectory anomaly detection model based on graph neural networks and variational autoencoder;an improved dynamical variational autoencoder framework for predicting aero-engine remaining useful life;construction of digital twin workshop integrated with edge computing and deep learning;research on electromagnetic pulse signal detection method based on intelligent compressed sensing technology;and path planning and collision avoidance approach for a multi-agent system in grid environments.

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Research on Enhancing Technology Transfer Efficiency through Artificial Intelligence and Recommendation Algorithms 3

Research on Enhancing Technology Transfer Efficiency through...

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

作者： Fangyu, Gao Di, Chen Shuai, Yang Zhenghu, Hao Qiong, Wu Xu, Zhang China Electric Equipment Group Hunan University of Science and Technology Shanghai China Nankai University Shanghai China Shandong University Shanghai China Science and Technology Research Institute Tsinghua University Shanghai China Beijing State Grid Fuda Technology Development Co. Ltd. University of Melbourne Beijing China Beijing State Grid Fuda Technology Development Co. Ltd. University College London Beijing China

ISBN: (纸本)9798331519032

This paper adopts a language processing model and semantic recommendation model to realize the intelligent matching of scientific research achievements and market demand in the electrical equipment industry, aiming to improve the transformation process of scientific research and innovation achievements into practical applications. Through in-depth demand analysis, the key data characteristics of both market demand and scientific research achievement are defined, and the corresponding information feature database is constructed. Pre training based on Bert model can accurately understand the scientific and technological achievements, scientific and technological needs, scientific research literature, patent documents and other contents in the field of electrical equipment. On this basis, an LFM implicit semantic recommendation algorithm model is added to realize the accurate matching between scientific research achievements and market scientific and technological needs. It is the first time for this technology recommendation in the field of transformation of scientific and technological achievements of electrical equipment. © 2024 IEEE.

关键词： Semantics

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The Impact of Operational Constraints on the Uniqueness of Locational Marginal Price: Simulation and Analysis 8

The Impact of Operational Constraints on the Uniqueness of L...

引用

8th international conference on Smart grid and Smart Cities, ICSGSC 2024

作者： Lin, Danning Ma, Ning Feng, Donghan Zhou, Yun Li, Wenlong Tian, Zihao Shanghai Jiao Tong University Dept. of Electrical Engineering Shanghai China State Grid Corporation China European Representative Office Berlin Germany

ISBN: (纸本)9798350377408

Over the past two decades, Locational Marginal Prices (LMP) theory has not only been continuously revised and developed in large-scale applications but also has become an essential component of the construction of China's electricity market, so researching the uniqueness of LMP is crucial. This paper first briefly analyzes the nodal pricing mechanism and uniqueness of solutions for the Security Constrained Economic Dispatch (SCED) problem and its dual problem. Subsequently, a full-time spot market clearing optimization model which considers relevant operational constraints is established, mainly used for computing the marginal nodal prices for power units, and a method for determining price multiplicities suitable for general cases is proposed. Lastly, numerical results show that line thermal capacity constraints and N-1 security constraint impacts the uniqueness of prices. © 2024 IEEE.

关键词： Constrained optimization

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Adaptive Allocation Method of Terminal Container Parameters Based on Evolutionary Game 5th

Adaptive Allocation Method of Terminal Container Parameters ...

引用

5th international conference on Neural computing for Advanced applications (NCAA)

作者： Wu, Yu Wu, Linfeng Yang, Xiaowei Chen, Shunli Xie, Han State Grid Chongqing Elect Power Co Mkt Serv Ctr Chongqing 400023 Peoples R China Chongqing Guanghui Power Supply Serv Co Ltd Customer Serv Branch Chongqing 400023 Peoples R China

ISBN: (纸本)9789819770038;9789819770045

In order to solve the problems of poor operational stability and high failure rate caused by the increasing number of terminal equipment devices and unreasonable resource allocation, an evolutionary game algorithm is used to construct an adaptive allocation method of terminal container parameters. First, deploy the smart metering terminal architecture and monitor the operating status of the terminal equipment. Subsequently, based on the idea of dominant resource balancing, the container placement order is determined by calculating the dominant resource request ratio of each terminal container, and a coarse-grained resource deployment strategy is obtained. Finally, an evolutionary game algorithm is used for fine-grained resource allocation and deployment to obtain the optimal strategy selection for terminal containers. Experimental results show that the proposed method can effectively improve resource utilization, improve the stable operation control capabilities and refined management level of remote terminal equipment, and ensure the reliable development of various upper-level business applications in marketing.

关键词： terminal container coarse-grained deployment evolutionary game adaptive parameter adjustment resource allocation and deployment

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Design and Optimization of an Integrated and Trustworthy WLAN Network Architecture Based on SDN for Power Systems 24

Design and Optimization of an Integrated and Trustworthy WLA...

引用

2024 international conference on Cloud computing and Big Data, ICCBD 2024

作者： Liu, Yuanlong Guan, Ti Zhang, Jian Liang, Dong Guan, Qingqin State Grid Shandong Electric Power Company China State Grid Shandong Electric Power Company Jinan Power Supply Company China

ISBN: (纸本)9798400710223

With the advancement of smart grid construction and digital transformation, higher requirements have been imposed on wireless communication networks in power systems. To address the issues of hardware ossification and complex network management faced by traditional networks, this paper investigates the architecture of trusted wireless local area network (WLAN) for power systems using the software-defined networking approach. The proposed architecture realizes unified management and security protection of the network through SDN centralized control and WAPI security authentication protocol. In addition, heterogeneous power network device decoupling and power grid communication protocol standardization are discussed to enhance device interoperability. To further optimize networks serving power system applications, this paper analyzes existing problems and proposes a series of optimization techniques and methods in five aspects - access control, load balancing, opportunistic routing, service migration/backup, and network security, so as to improve network management efficiency, load balancing capability, routing efficiency, service reliability and security. The research provides architectural support and optimization guidance for building more efficient, secure and reliable wireless communication networks in power systems. © 2024 ACM.

关键词： Smart power grids

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Efficient anomaly intrusion detection using Transformer based GAN network 7

Efficient anomaly intrusion detection using Transformer base...

引用

7th IEEE international Electrical and Energy conference, CIEEC 2024

作者： Feng, Junyao Wang, Chaohong Xue, Hao Zhang, Lijun Qinghai University Department of Computer Technology and Applications Xining China Huanghe Hydropower Development CO. Ltd. Xining China

ISBN: (纸本)9798350359558

With the rapid development of power grid terminals technology and the continuous increase in threats of network attacks, network anomaly intrusion detection for power grid terminals has become more complicated and crucial. However, due to the large number of network protocol fields and diverse network behaviors, existing methods still face challenges. Therefore, this text proposed a network anomaly intrusion detection method based on TransGAN, which combines the ideas of generative adversarial networks and Transformer models, to learn the correlation between different types of network intrusion behaviors and capture the dependency relationship of the network data. Besides, XGBoost was utilized for feature extraction to reduce computational cost without compromising detection performance. The experimental results show that the proposed anomaly detection method achieved an accuracy of 84.64% on NSL-KDD, while reducing the computational cost of training and testing by 9% and 6% respectively. It makes a valuable contribution to the research and practice of network security in the field of power grid terminals. © 2024 IEEE.

关键词： Anomaly detection

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