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

作者： Dang, Haiyan Shao, Dianxue Yue, Liyu Xi'an Mingde Institute Of Technology Shaanxi China Xi'an Zhongkai Information Technology Co. Ltd Shaanxi China Shaanxi Provincial Water Diversion Project Construction Co. Ltd Shaanxi China

ISBN: (纸本)9798350318609

The smart grid benefits greatly from advanced data processing and communications technology. But security threats continue to interfere with information systems and they also affect smart grids. The smart grid's existing security efforts concentrate on conventional detection and prevention techniques. On the other hand, many attacks happen rapidly and are not detected by outdated security measures. These threats generally interrupt the regular operation of the smart grid and have significant effects on it. Furthermore, it may be difficult to reverse the damage and it is too late to take measures against threats once they are identified. To address this problem, the research implements a security situation awareness system that is based on big data analysis within the smart grid. The security situational analysis for the smart grid is performed by efficiently integrating reinforcement learning, game theory, and fuzzy cluster based analytical approach. When compared to existing method of True Data Integrity by Agent-Based Model (TDI-ABM), implemented mechanism achieved high normal and attack behavior identification, and attained low - false rate of normal and attack behavior. © 2024 IEEE.

关键词： Game theory

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P²RUTOR: A Programming Tutor for parallel Programming 30

P<SUP>2</SUP>RUTOR: A Programming Tutor for Parallel Program...

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30th international conference on High Performance computing, Data, and Analytics (HiPC)

作者： Hegde, Deepak B. Malakar, Preeti Karkare, Amey Indian Inst Technol Kanpur Dept Comp Sci & Engn Kanpur Uttar Pradesh India

ISBN: (纸本)9798350383782;9798350383799

We present an enhanced parallel programming tutor ((PRUTOR)-R-2) for parallel programming assignment evaluation system. This is based on an existing programming tutor, PRUTOR, which is a comprehensive programming interface and evaluation system. Automatic evaluation of programming assignments for large enrollment courses is helpful for the instructors of introductory programming courses. Evaluation of parallel coding assignments (on several compute nodes) of large enrollment courses on introductory parallel programming is more challenging. Thus a comprehensive interface to develop, test and execute MPI C programs is useful for instructors who teach distributed memory programming related courses.

关键词： parallel programming assignments MPI PRUTOR Web interface

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Control of Multiple SPV Integrated parallel Inverters for Microgrid Applications

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IEEE TRANSACTIONS ON INDUSTRY APPLICATIONS 2023年第3期59卷 3700-3712页

作者： Singh, Yashi Singh, Bhim Mishra, Sukumar Indian Inst Technol Delhi New Delhi 110016 India

This work presents a hybrid control method (HCM) for inverters in a single-phase AC grid-interactive photovoltaic (PV) microgrid connecting multiple PV inverter (PVI) units. The HCMis incorporated into a single controlmethod employing three cascaded loops -grid current loop, voltage control loop and improved third order adaptive integrator-quadrature signal generator (ITOAI-QSG). The HCM is used for mode transitions between the grid integratedmode (GIM) to islanding mode (IAM) and vice-versa, and this confirms the seamless transfer between the modes without rearranging the control structure. In GIM, the presented controller regulates the grid current and provides dynamic grid support by the reactive power compensation. In IAM, the controller changes from the grid current control to the voltage control to adjust the PV inverter's output voltage. The control method is presented for a parallel-operated single-stage where PV panels are interfaced with the inverters with independent maximum power point tracking (MPPT) to harvest maximum power. The battery energy storage (BES) is interfaced with the main PVI unit to support the load demand in peak demand periods and maintains the power balance in IAM. The charging and discharging profiles of BES are achieved by a DC-DC bidirectional converter (DBC). Test results verify the performance of the developed control.

关键词： Islanding control MPPT PV generation TOAI-QSG and Power quality (PQ)

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Massive Paper Check Detection Algorithm Based on Artificial Intelligence 2

Massive Paper Check Detection Algorithm Based on Artificial ...

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2nd international conference on distributed computing and Optimization Techniques, ICDCOT 2024

作者： Zha, Yiyi Liu, Zhe Huang, Junling Liang, Li Information and Telecommunication Branch State Grid Jiangsu Elecric Power Jiangsu Nanjing China State Grid Jiangsu Elecric Power Jiangsu Nanjing China

ISBN: (纸本)9798350382952

Paper check is an important task in many fields. When there is a large amount of text, there is always a problem of low efficiency and low accuracy in paper check. To address this problem, this article proposes to use artificial intelligence (AI) technology to construct an efficient and accurate paper check method to build a paper check system. After completing the construction of the intelligent system, this article compares the accuracy of paper check between the intelligent system and the conventional system. The average accuracy of the former is 95.30%, while the average accuracy of the latter is only 89.36%, indicating a significant difference. Thus this study found that artificial intelligence technology can effectively assist in building a paper check system. © 2024 IEEE.

关键词： Feature extraction

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Smart Contract parallel Execution with Fine-Grained State Accesses 43

Smart Contract Parallel Execution with Fine-Grained State Ac...

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43rd IEEE international conference on distributed computing Systems (ICDCS)

作者： Qi, Xiaodong Jiao, Jiao Li, Yi Nanyang Technol Univ Singapore 639798 Singapore

ISBN: (纸本)9798350339864

As various optimizations being proposed recently, the performance of blockchains is no longer limited by the consensus protocols, successfully scaling to thousands of transactions per second. To further improve blockchains' throughput, exploiting the parallelism in smart contract executions becomes a clear solution to resolve the new performance bottleneck. The existing techniques perform concurrency control on smart contract transactions based on pre-determined read/write sets, which can hardly be calculated precisely. As a result, many parallelization opportunities are missed in order to maintain the correctness of transaction executions. In this paper, we propose a novel execution scheduling framework, DMVCC, to further increase the parallelism in smart contract executions, via more fine-grained control on state accesses. DMVCC improves over existing techniques with two key features: (1) write versioning, eliminating the write-write conflicts between transactions, and (2) early-write visibility, enabling other transactions to read the writes from a transaction earlier, before it being committed. We integrated DMVCC into the Ethereum Virtual Machine, to evaluate its performance in real-world blockchain environments. The experimental results show that DMVCC doubles the parallel speedup achievable to a 20x overall speedup, compared with the serial execution baseline, approaching the theoretical optimum.

关键词： parallel execution smart contract blockchain

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Cellular Automata on a Multi-GPU Architecture: A Technical Overview 32

Cellular Automata on a Multi-GPU Architecture: A Technical O...

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32nd Euromicro international conference on parallel, distributed and Network-Based Processing (PDP)

作者： Giordano, Andrea De Rango, Alessio D'Ambrosio, Donato Gil, Marisa Macri, Davide Martorell, Xavier Rongo, Rocco Utrera, Gladys Mendicino, Giuseppe Spataro, William ICAR CNR Arcavacata Di Rende Italy Univ Calabria Dept Environm Engn Calabria Italy Univ Calabria Dept Math & Comp Sci Calabria Italy Univ Politecnica Catalunya BarcelonaTECH Barcelona Spain

ISBN: (纸本)9798350363074;9798350363081

This work is focused on the transparent execution of Cellular Automata models on amulti-GPU architecture. Although Cellular Automata models can be easily parallelized on a single GPU, the domain size and transition function complexity may require the use of multiple GPUs. Our goal is to allow modellers to be completely unaware of the parallel execution context, i.e., the code implementing the Cellular Automata model remains the same regardless if the execution is performed on CPU, single GPU, or multi-GPU systems. This paper supplies meaningful technical insights on how to ensure both transparency and efficiency in multi-GPU execution of Cellular Automata models. In particular, an object-oriented approach is exploited in which a transparent layer is devised that abstracts the parallelization details and allows a strong "separation of concerns" between the execution parallelism issues and the model implementation. Preliminary experiments have been carried out on the multi-GPU cluster CTE-POWER available at the Barcelona Supercomputing Center (BSC), witnessing good speedups notwithstanding the transparency feature supplied by our approach.

关键词： Multi-GPU computing Cellular Automata Modelling and Simulation

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An Innovation Development of Decentralized Prove Piercing Data Recuperation Using Improved Red in Mobile grid computing 2

An Innovation Development of Decentralized Prove Piercing Da...

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2nd IEEE international conference on distributed computing and Electrical Circuits and Electronics, ICDCECE 2023

作者： Karthikeyan, S. Thomas, Merin Faculty of Engineering and Technology Department of Computer Science and Engineering Bangalore India

ISBN: (纸本)9798350347456

The recent advancements in mobile computing have opened up the possibilities of decentralized data recovery in mobile grid computing. With the help of improved Red (Recovery of Erased Data) technique, data recovery can be done in a decentralized manner. This method is a combination of distributed computing, data replication, and data recovery algorithms which improves the data recovery process. The improved Red technique uses distributed computing to replicate the data and store it in multiple nodes in the grid. This helps to ensure that the data is distributed and available in multiple nodes for recovery. Data recovery is done by the Red algorithm which traverses the grid and identifies the nodes which have the data and then recovers it. The algorithm uses a technique called "greedy search"to identify the nodes which have the data. This helps to reduce the time and cost associated with the recovery process. The improved Red technique also makes use of data replication which helps to improve the data recovery process. The data is replicated and stored in multiple nodes which helps to improve the speed of data recovery. The replication process helps to ensure that the data is always available and can be recovered quickly. The improved Red technique also makes use of distributed computing to improve the scalability of the data recovery process. The distributed computing helps to ensure that the data recovery process can be done efficiently and quickly. The data recovery process can also be done on a large scale which helps to improve the speed of data recovery. © 2023 IEEE.

关键词： Recovery

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Data Volume-aware Computation Task Scheduling for Smart grid Data Analytic Applications

Data Volume-aware Computation Task Scheduling for Smart Grid...

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IEEE international conference on Communications (IEEE ICC)

作者： Guo, Binquan Li, Hongyan Yan, Ye Zhang, Zhou Wang, Peng Xidian Univ State Key Lab Integrated Serv Networks Xian Peoples R China Tianjin Artificial Intelligence Innovat Ctr TAIIC Tianjin Peoples R China

ISBN: (纸本)9781538674628

Emerging smart grid applications analyze large amounts of data collected from millions of meters and systems to facilitate distributed monitoring and real-time control tasks. However, current parallel data processing systems are designed for common applications, unaware of the massive volume of the collected data, causing long data transfer delay during the computation and slow response time of smart grid systems. A promising direction to reduce delay is to jointly schedule computation tasks and data transfers. We identify that the smart grid data analytic jobs require the intermediate data among different computation stages to be transmitted orderly to avoid network congestion. This new feature prevents current scheduling algorithms from being efficient. In this work, an integrated computing and communication task scheduling scheme is proposed. The mathematical formulation of smart grid data analytic jobs scheduling problem is given, which is unsolvable by existing optimization methods due to the strongly coupled constraints. Several techniques are combined to linearize it for adapting the Branch and Cut method. Based on the topological information in the job graph, the Topology Aware Branch and Cut method is further proposed to speed up searching for optimal solutions. Numerical results demonstrate the effectiveness of the proposed method.

关键词： Smart grid applications data analytics task scheduling job completion time branch and cut disjunctive formulation

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Work Condition Monitoring for Knife-Edge Switches on Lightweight Edge Devices 43

Work Condition Monitoring for Knife-Edge Switches on Lightwe...

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43rd IEEE international conference on distributed computing Systems (ICDCS)

作者： Liu, Ziwei Xie, Lei Ning, Jingyi Zhao, Ming Lin, Zhenjie Wang, Liming Nanjing Univ State Key Lab Novel Software Technol Nanjing Peoples R China China Southern Power Grid Digital Platform Techno Beijing Peoples R China

ISBN: (纸本)9798350339864

With the rapid development of smart factories, it is necessary to provide lightweight and real-time working condition monitoring for remote facility sensors to reduce labor costs and ensure safe operation. In the high-voltage power grid scenario, it is crucial to detect the working state of the electric knife-edge switch, i.e., the switch's rotation angle in 3D space, which controls the on-off state of the high-voltage lines. However, existing solutions are mainly in a contact way, which is easy to cause accidents in high risk scenarios such as high-voltage transmission lines. In this paper, we propose EdgeMonitor, a contactless monitoring system for knife-edge switches, which can provide robust and real-time working state detection based on lightweight edge devices. EdgeMonitor includes a lightweight edge device, a monocular camera, and an inertial sensor. Specifically, we propose a lightweight two-stage strategy first to extract the switch's feature information, then perform continuous state tracking for the switch's rotation angle in 3D space. Experiment results show that EdgeMonitor achieves the knife-edge switches detection error within 2.5 degrees with a latency of less than 50ms.

关键词： knife-edge switch detection lightweight edge device angle detection in 3D space

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Risk Assessment of Power grid Infrastructure Operation under the Background of Big Data Era 2

Risk Assessment of Power Grid Infrastructure Operation under...

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2nd international conference on distributed computing and Optimization Techniques, ICDCOT 2024

作者： An, Shiyun Li, Wenjie Zhang, Xiaoqi Liu, Jianning Cheng, Famin Zhang, Qiurui State Grid Shandong Electric Power Company Dongying Power Supply Company Shandong Dongying China

ISBN: (纸本)9798350382952

With the continuous progress of The Times and economic development, China's electric power industry is also undergoing profound changes. In the process of the continuous expansion of the scale of the power grid infrastructure construction project, the risk management for the safety of the infrastructure operation is becoming more and more important. This paper mainly studies the risk assessment of power grid infrastructure operation under the background of big data era. This paper first gives a systematic overview of risk management, and then builds a risk assessment model based on big data and random set theory. In this paper, the risk assessment model is used to evaluate the equipment risk and environmental risk in the operation of power grid infrastructure. In this paper, through the construction of the operation risk assessment model, various production risk factors are quantitatively evaluated, the key and high-risk factors of operation risk are determined, and the overall production risk level of infrastructure operation is obtained, which solves the subjective problem of risk assessment. This helps identify the failure modes and trends of power grid equipment. By analyzing historical data, typical fault modes of equipment can be identified, and a prediction model can be constructed using machine learning algorithms to predict potential future faults. In this way, power grid operators can take maintenance measures or replace equipment in advance to avoid the impact of faults on the power grid. © 2024 IEEE.

关键词： Risk assessment

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