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Smart Technologies for Power, Energy and control (STPEC), IEEE International Conference on

作者： Awadh Ba Wazir Abdullah A. Alhussainy Abdulraheem H. Alobaidi Aatif Altaf Anil Kumar Mahendra Kumar Sultan Alghamdi Department of Electrical and Computer Engineering Faculty of Engineering King Abdulaziz University Jeddah Saudi Arabia Center of Research Excellence in Renewable Energy and Power Systems King Abdulaziz University Jeddah Saudi Arabia Instrumentation and Control Engineering Department Dr. B R Ambedkar National Institute of Technology Jalandhar Jalandhar Punjab India

This paper introduces a robust controller designed for load frequency control in a dual-area integrated power grid. Here, the suggested controller is a blend of a fuzzy logic controller with an integral controller. The parameters of the integral controller and frequency bias settings are optimized to enhance the dynamic response of the proposed controller. To attain this, three distinct optimization algorithms are employed, i.e., genetic algorithm, simulated annealing, and pattern search. A new objective function using settling time, settling-max, and settling-min with a suitable weight factor is used to improve the parameters estimation process. A comparative analysis is performed using the proposed approach and classical-I controller under two cases considering several load disturbance scenarios. Furthermore, the suggested hybrid controller is evaluated and compared with similar models in the literature. As expected, the proposed controller exhibits superior performance.

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Model Checking of Cooperative Tripping Based on Timed Automata

Model Checking of Cooperative Tripping Based on Timed Automa...

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Electrical engineering (CIYCEE), IEEE China International Youth Conference on

作者： Xiong Haijun Wang Yao Jiang He Ye Xingyu School of Control and Computer Engineering North China Electric Power University Baoding China

ISBN: (纸本)9781665400657

Networked collaborative tripping can effectively reduce the construction complexity of the backup protection system, but there is still a lack of research on the reachability and real-time verification of the tripping algorithm. In this paper, the networked cooperative trip system is regarded as a reactive real-time system, and a method for verifying the cooperative characteristics of the protection system based on a timed automata is proposed. First, the timed automata are used to give the calculation model of the protection IED, the circuit breaker XCBR and the overall protection system, and then UPPAAL is used to model the model, and the description method of time characteristics is given, and the UPPAAL tool is used to verify the model. The algorithm model in the bus 12node system has been effectively verified. This method can complete the accessibility and real-time evaluation of the tripping algorithm, which is of great significance for reducing the hidden dangers in the system design.

关键词： Electrical engineering Conferences Automata Collaboration Model checking Real-time systems Delays

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A WAVELET GUIDED ATTENTION MODULE FOR SKIN CANCER CLASSIFICATION WITH GRADIENT-BASED FEATURE FUSION

arXiv

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arXiv 2024年

作者： Roy, Ayush Sarkar, Sujan Ghosal, Sohom Kaplun, Dmitrii Lyanova, Asya Sarkar, Ram Department of Electrical Engineering Jadavpur University Kolkata India Department of Computer Science and Engineering Jadavpur University Kolkata India Department of Electronics and Communication Engineering International Institute of Information Technology Chhattisgarh Naya Raipur India Artificial Intelligence Research Institute China University of Mining and Technology Xuzhou China Department of Automation and Control Processes Saint Petersburg Electrotechnical University"LETI" Saint Petersburg Russia

Skin cancer is a highly dangerous type of cancer that requires an accurate diagnosis from experienced physicians. To help physicians diagnose skin cancer more efficiently, a computer-aided diagnosis (CAD) system can be very helpful. In this paper, we propose a novel model, which uses a novel attention mechanism to pinpoint the differences in features across the spatial dimensions and symmetry of the lesion, thereby focusing on the dissimilarities of various classes based on symmetry, uniformity in texture and color, etc. Additionally, to take into account the variations in the boundaries of the lesions for different classes, we employ a gradient-based fusion of wavelet and soft attention-aided features to extract boundary information of skin lesions. We have tested our model on the multi-class and highly class-imbalanced dataset, called HAM10000, and achieved promising results, with a 91.17% F1-score and 90.75% accuracy. The code is made available at: https://***/AyushRoy2001/ WAGF-Fusion. © 2024, CC BY.

关键词： Wavelet transforms

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Hierarchical Clustering-Based State Grouping Reinforcement Learning for Switching Decision of Autonomous Vehicles

Hierarchical Clustering-Based State Grouping Reinforcement L...

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IEEE International Conference on Unmanned Systems (ICUS)

作者： Wenjie Ouyang Yiwen Jiao Yang Liu Yang Li Manjiang Hu Hongmao Qin College of Mechanical and Vehicle Engineering Hunan University Changsha China College of Computer Science and Electronic Engineering Hunan University Changsha China College of Electrical Mechanical and Computer Science Delft University of Technology Delft The Netherlands State Key Laboratory of Advanced Design and Manufacturing Technology for Vehicle College of Mechanical and Vehicle Engineering Hunan University Changsha China Wuxi Intelligent Control Research Institute of Hunan University Wuxi China

Reinforcement learning (RL) has gained wide attention, but its implementation in autonomous vehicles is still limited by insufficient sample efficiency and heavy training costs. The training efficiency of RL agents is influenced by the dimension of the state space, which can be partitioned to reduce the complexity of sampling and computation. This study proposes a hierarchical clustering-based state grouping reinforcement learning (HCSG-RL) method for the switching decision of autonomous vehicles. First, we partition the base state space into groups and generate a hierarchical tree of state space groups. Then, we train multiple sub-agents for each node in the hierarchical tree. Finally, we add these trained-well sub-model into master policy. This method allows us to fully explore all state spaces and improve the training efficiency of individual agents, which handles the “long-tail” issue and the curse of dimensionality issue. We conduct experiments in a simulation environment and results show that the proposed method has 16–72% reward improvement compared to the tree model in different road length.

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An Optimal Scheduling Strategy of Spinning Reserve Considering Coordination Between Source and Load for Power System

An Optimal Scheduling Strategy of Spinning Reserve Consideri...

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IEEE Asia Power and Energy engineering Conference (APEEC)

作者： Zhaoguo Yu Ziqiu Song Yang Hu Hanyu Feng School of Control and Computer Engineering North China Electric Power University Beijing China

Due to large-scale wind power integration, the operation and reserve of power system has been seriously affected. It is necessary to utilize other resources to replace conventional generators to provide reserve capacity for power system. Taking multiple types of reserve resources into account, an optimal scheduling strategy of spinning reserve considering coordination between source and load for power system is proposed. Firstly, according to the mode and operation constraints of reserve resources, the reserve models of conventional generators, wind farm and demand response are established. Secondly, with the objective function of minimizing the operation cost and reserve cost of power system, the optimal scheduling model of spinning reserve based on source load coordination is constructed. Finally, a case of 6-machine 30 bus system is carried out to prove that the economy of power system is improved obviously, and the effectiveness of the proposed optimal scheduling strategy is verified. Furthermore, the impact of wind farm and demand response reserve cost on the system spinning reserve capacity allocation is analyzed respectively, and it has a certain reference significance for reserve resource bidding mechanism of power system.

关键词： Biological system modeling Optimal scheduling Wind power generation Wind farms Load management Generators Power systems

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Motion Planning for Tractor-Trailer System

Motion Planning for Tractor-Trailer System

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control Conference (ICC), 2019 Sixth Indian

作者： Tanuj Thakkar Arpita Sinha Computer Science & Engineering Charotar University of Science & Technology India System and Control Engineering IIT BombayIndia

ISBN: (纸本)9781665409797

Motion planning for a tractor-trailer system is a challenging problem due to the nonholonomic constraints and highly nonlinear nature of the system. In this paper, we present a motion planning approach based on the Hybrid A* algorithm which produces smooth, collision-free, and kinematically feasible paths for a tractor-trailer system in a known environment. Kinematic model based on the on-axle hitching configuration of the tractor-trailer system is used for node expansion. Voronoi graph is used to compute sub-goals that guide the search towards the goal faster. A pure pursuit controller is employed to track the generated trajectory. The planning approach is evaluated over a number of Monte-Carlo simulation runs, and the experimental results indicate a perfect accuracy.

关键词： Adaptation models Monte Carlo methods Tracking Computational modeling Kinematics Planning Trajectory

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Decentralised Update Selection with Semi-Strategic Experts

arXiv

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arXiv 2022年

作者： Amanatidis, Georgios Birmpas, Georgios Lazos, Philip Marmolejo-Cossío, Francisco Department of Mathematical Sciences University of Essex United Kingdom Department of Computer Control and Management Engineering Sapienza University of Rome Italy School of Engineering and Applied Sciences Harvard University United States IOHK

Motivated by governance models adopted in blockchain applications, we study the problem of selecting appropriate system updates in a decentralised way. Contrary to most existing voting approaches, we use the input of a set of motivated experts of varying levels of expertise. In particular, we develop an approval voting inspired selection mechanism through which the experts approve or disapprove the different updates according to their perception of the quality of each alternative. Given their opinions, and weighted by their expertise level, a single update is then implemented and evaluated, and the experts receive rewards based on their choices. We show that this mechanism always has approximate pure Nash equilibria and that these achieve a constant factor approximation with respect to the quality benchmark of the optimal alternative. Finally, we study the repeated version of the problem, where the weights of the experts are adjusted after each update, according to their performance. Under mild assumptions about the weights, the extension of our mechanism still has approximate pure Nash equilibria in this setting. Copyright © 2022, The Authors. All rights reserved.

关键词： Benchmarking

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A Wavelet Guided Attention Module for Skin Cancer Classification with Gradient-Based Feature Fusion

A Wavelet Guided Attention Module for Skin Cancer Classifica...

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IEEE International Symposium on Biomedical Imaging

作者： Ayush Roy Sujan Sarkar Sohom Ghosal Dmitrii Kaplun Asya Lyanova Ram Sarkar Department of Electrical Engineering Jadavpur University Kolkata India Department of Computer Science and Engineering Jadavpur University Kolkata India Department of Electronics and Communication Engineering International Institute of Information Technology Naya Raipur Chhattisgarh India Artificial Intelligence Research Institute China University of Mining and Technology Xuzhou China Department of Automation and Control Processes Saint Petersburg Electrotechnical University "LETI" Saint Petersburg Russia

ISBN: (数字)9798350313338

ISBN: (纸本)9798350313345

关键词： Solid modeling Image color analysis Biological system modeling Melanoma Medical services Feature extraction Skin

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Factors that Affect the Frequency of HIV Testing in College Men Who Have Sex with Men--Northeast China,2017-2018

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China CDC weekly 2022年第25期4卷 549-553页

作者： Menglong Li Huichao Wu Wen Shu Ziang Li Hongmei Yan Hongtao Hui Hailong Li Zhenhua Yang Sten H.Vermund Yifei Hu Department of Child Adolescent Health and Maternal CareSchool of Public HealthCapital Medical UniversityBeijingChina General Management Office Xidan CampusPeking Union Medical College HospitalBeijingChina Department of HIV/STD Prevention and Control Heilongjiang Provincial Center for Disease Control and PreventionHarbin CityHeilongjiang ProvinceChina Heilongjiang Kangtong Community Harbin CityHeilongjiang ProvinceChina School of Computer and Information Engineering Harbin University of CommerceHarbin CityHeilongjiang ProvinceChina Yale School of Public Health Yale UniversityNew HavenCTUSA.

Summary What is already known about this topic?Human immunodeficiency virus(HIV)testing is a critical tool in reducing HIV transmission among men who have sex with men(MSM);young MSM frequently use mobile phone applic... 详细信息

关键词： Northeast immunodeficiency hook

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Supervisory Predictive control of Circulating Fluidized Bed Based on T-S Fuzzy Neural Network

Supervisory Predictive Control of Circulating Fluidized Bed ...

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Chinese Automation Congress (CAC)

作者： ZhiChao Zhong Xiangjie Liu School of Control and Computer Engineering North China Electric Power University Beijing China

ISBN: (纸本)9781665426480

In this paper, the algorithm and theory of supervisory predictive control (SPC) based on T-S fuzzy neural network is proposed and applied in Circulating fluidized bed (CFB) boiler system successfully. SPC combines both the plant economic process optimization and regulatory process control into a hierarchical control structure, in which the economic optimization is at the upper level and the dynamic tracking is at the lower level. Nonlinear CFB process is expressed by T-S fuzzy neural network. The simulation results of CFB system show that the SPC has more reliable and satisfactory control effects.

关键词： Economics Fuzzy control Simulation Predictive models Fuzzy neural networks Prediction algorithms Nonlinear dynamical systems

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