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Intelligent Predetermination of Generator Tripping Scheme: Knowledge Fusion-based Deep Reinforcement Learning Framework

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CSEE Journal of Power and Energy systems 2024年第1期10卷 66-75页

作者： Lingkang Zeng Wei Yao Ze Hu Hang Shuai Zhouping Li Jinyu Wen Shijie Cheng State Key Laboratory of Advanced Electromagnetic Engineering and Technology School of Electrical and Electronics EngineeringHuazhong University of Science and TechnologyWuhan 430074China Dispatching and Control Center Central China Branch of State Grid Corporation of ChinaWuhan 430077China. Department of Electrical Engineering and Computer Science University of TennesseeKnoxvilleTN 37996USA

Generator tripping scheme(GTS)is the most commonly used scheme to prevent power systems from losing safety and ***,GTS is composed of offline predetermination and real-time scenario ***,it is extremely time-consuming and labor-intensive for manual predetermination for a large-scale modern power *** improve efficiency of predetermination,this paper proposes a framework of knowledge fusion-based deep reinforcement learning(KF-DRL)for intelligent predetermination of ***,the Markov Decision Process(MDP)for GTS problem is formulated based on transient instability ***,linear action space is developed to reduce dimensionality of action space for multiple controllable ***,KF-DRL leverages domain knowledge about GTS to mask invalid actions during the decision-making *** can enhance the efficiency and learning ***,the graph convolutional network(GCN)is introduced to the policy network for enhanced learning *** simulation results obtained on New England power system demonstrate superiority of the proposed KF-DRL framework for GTS over the purely data-driven DRL method.

关键词： Deep reinforcement learning generator tripping scheme graph convolutional network invalid action masking knowledgefusion

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Interface engineering and Anion engineering of Mo-Based Heterogeneous Electrocatalysts for Hydrogen Evolution Reaction

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Energy & Environmental Materials 2023年第1期6卷 87-104页

作者： Zehao Yin Xuan Liu Siru Chen Tingli Ma Yanqiang Li State Key Laboratory of Fine Chemicals School of Chemical EngineeringDalian University of TechnologyPanjin CampusPanjin 124221China School of Material and Chemical Engineering Centre for Advanced Materials ResearchZhongyuan University of TechnologyZhengzhou 450007China Department of Materials Science and Engineering China Jiliang UniversityHangzhou 310018China Graduate School of Life Science and Systems Engineering Kyushu Institute of TechnologyKitakyushu Fukuoka 808-0196Japan

Development and utilization of hydrogen energy is an effective way to achieve carbon neutrality,only hydrogen production through electrolytic water splitting meets the goal of zero carbon *** facilitate the large-scale commercialization of water splitting devices,the development of highly efficient and low-cost catalysts to reduce the energy consumption is ***_(2)has been regarded as a promising electrocatalyst to replace platinum in hydrogen evolution reaction due to its low price and unique 2D layered ***,the poor conductivity and inert basal planes of MoS_(2)limited its wide-spread ***,researches have demonstrated that the conductivity and active sites of MoS_(2)can be improved by heteroatoms doping or constructing of heterogeneous *** this review,the recent progress of Mo-based catalysts are summarized centered on MoS_(2)based on interface engineering and anion engineering,including MoS_(2)–MoO_(2),MoS_(2)–Mo_(2)C,MoS_(2)–MoN_(x),MoS_(2)–MoP,and MoS_(2)–MoSe_(2).The preparation method,structure,and performance of the catalysts are introduced and the possible mechanism behind the improved catalytic activity are revealed to give readers an overall comprehension on the progress of the Mo-based electrocatalysts for hydrogen evolution *** addition,an outlook on future opportunities and development directions of Mo-based catalysts are proposed to facilitate the development of Mo-based catalysts for hydrogen production.

关键词： electrocatalysis heterostructure hydrogen evolution reaction Mo-based catalysts

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A Novel Design of Random Number Generators Using Chaos-Based Extremum Coding

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IEEE Access 2024年 12卷 24039-24047页

作者： Araki, Shunsuke Wu, Ji-Han Yan, Jun-Juh Kyushu Institute of Technology Kawazu Iizuka Graduate School of Computer Science and Systems Engineering Fukuoka820 Japan National Chin-Yi University of Technology Department of Electronic Engineering Taichung41107 Taiwan

This paper proposes a new chaos-based extremum coding method to realize a true random number generator (RNG). Based on the chain rule, we innovatively introduce two parameters into the dynamics of chaotic systems to modulate the speed and amplitude of state responses. Then, by discretizing the continuous modulated chaotic system, the corresponding discrete chaotic system can be obtained, which allows the use of low-cost micro-controllers for implementation, enhancing system stability, and reducing costs. Also, a novel chaos-based extremum coding approach is proposed for generating a random extremum-coded sequence (RECS). Using this RECS to switch and decide modulation parameters significantly improves the randomness of the sequences generated by the RNGs. To highlight the contribution of this RNG design, the randomness and security of the RNGs are evaluated by statistical tests such as NIST, Diehard, and ENT. Through comparisons with recent published works, the results show that the proposed chaotic extremum-coded RNG can demonstrate superior performance with a higher level of randomness. © 2013 IEEE.

关键词： Statistical tests

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Titanium Culture Vessel Presenting Temperature Gradation for the Thermotolerance Estimation of Cells

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Cyborg and Bionic systems 2023年第1期4卷 166-177页

作者： Chikahiro Imashiro Yangyan Jin Motoaki Hayama Takahiro GYamada Akira Funahashi Katsuhisa Sakaguchi Shinjiro Umezu Jun Komotori Graduate School of Engineering The University of TokyoTokyo 113-0033Japan Department of Mechanical Engineering Keio UniversityYokohamaKanagawa 223-0061Japan School of Integrated Design Engineering Graduate School of Science and TechnologyKeio UniversityYokohamaKanagawa 223-0061Japan Department of Biosciences and Informatics Keio UniversityYokohamaKanagawa 223-0061Japan Department of Integrative Bioscience and Biomedical Engineering Graduate School of Advanced Science and EngineeringWaseda UniversityTWInsTokyo 162-8480Japan Department of Modern Mechanical Engineering Waseda UniversityTokyo 169-8555Japan

Hyperthermia can be induced to exploit the thermal intolerance of cancer cells,which is worse than that of normal cells,as a potential noninvasive cancer *** develop an effective hyperthermia treatment,thermal cytotoxicity of cells should be comprehensively ***,to conduct such investigations,the culture temperature must be accurately *** previously reported a culture system in which the culture temperature could be accurately regulated by employing metallic culture ***,appropriate temperature conditions for hyperthermia depend on the cell ***,several experiments need to be conducted,which is a bottleneck of inducing ***,we developed a cell culture system with temperature gradation on a metallic culture *** Cancer Foundation-7 cells and normal human dermal fibroblasts were used as cancer and normal cell models,*** cells showed stronger thermal tolerance;this was because the novel system immediately exhibited a temperature ***,the developed culture system can be used to investigate the optimum thermal conditions for effective hyperthermia ***,as the reactions of cultured cells can be effectively assessed with the present results,further research involving the thermal stimulation of cells is possible.

关键词： stimulation culture Titanium

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5720 | Suppress Slip While Crossing Loose Slopes Using Reverse Rotation Behavior of Rovers With Function of Independent Contraction/Expansion Mechanism 21

5720 | Suppress Slip While Crossing Loose Slopes Using Rever...

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21st International and 12th Asia-Pacific Regional Conference of the International Society for Terrain-Vehicle systems, ISTVS 2024

作者： Mochizuki, Tsukasa Fujiwara, Daisuke Iizuka, Kojiro Sakata, Takaaki Suga, Tatsuhiko Graduate School of Engineering and Science Systems Engineering and Science Shibaura Institute of Technology Saitama Japan Department of Mechanical and Electrical Engineering Suwa University of Science Nagano Japan

ISBN: (纸本)9781942112570

In recent years, many organizations have developed lunar rovers for traveling over uneven terrain. Our research team has studied a rover using independently extending/retracting left and right wheelbases. In the case of four wheels, this method allows three wheels to remain stationary while moving. The independent extending/retracting locomotion of the wheel enables the traction to increase. This method provides a greater support force and improves the climbing performance on a loose slope. However, increased load on a sloped surface causes sideslipping, and the rover tilts its posture in downward. Our previous study confirmed that intentionally increased sinkage by the large wheel slip increased side forces from the soil. However, the lateral force is still insufficient and cause sideslipping on steep slopes. To increase the side force, this study focuses on the resistance between the wheel and the ground, along with the direction of wheel rotation. Specifically, we propose reverse rotation of the upper side wheel of the rover. This method increases dynamic sinkage by increased resistance from the soil during wheel driving. To confirm the effectiveness of method, this study conducts experiments that traversing loose slope with the rover. The results suggest that the proposed method greatly reduces sideslipping. In addition, the results indicated that the wheel sinkage increased. Therefore, the reverse rotation could increase the normal force of the wheels on the upper side. In summary, proposed method increased side forces and suppressed sideslipping. Hence, the reverse rotation prevents tilting the rover's posture downward on the slope. © 2024 International Society for Terrain-Vehicle systems. All rights reserved.

关键词： Rovers

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Robust Stability and Stabilizability Conditions for Time-Delay systems Under Stochastic Uncertainties

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IEEE Transactions on Automatic control 2024年第6期70卷 4037-4044页

作者： Chen, Jianqi Mao, Qi Zhao, Di Chen, Chao Nanjing University Center for Advanced Control and Smart Operations Suzhou China Nanjing Normal University School of Electrical and Automation Engineering Nanjing China Tongji University Department of Control Science and Engineering Shanghai Institute of Intelligent Science and Technology Shanghai China Leuven3001 Belgium

This study first explores the mean-square robust stability problem of stable continuous-time linear time-invariant systems subject to stochastic multiplicative uncertainties with prescribed variance bounds. The internal structures of uncertainties, however, are not presumed to cope with diverse random noises and errors arising from networked channels. A necessary and sufficient mean-square stability condition is obtained involving a novel small-gain type characterization. Next, we consider the output feedback controller synthesis problem of networked control systems facing stochastic multiplicative uncertainties and intrinsic channel-wise time delays simultaneously. Based on the obtained mean-square stability condition, further, we develop a fundamental necessary and sufficient condition of mean-square stabilizability explicitly. Such a condition equivalently determines that an open-loop unstable system can be stabilized by output feedback in the mean-square sense. Finally, an analysis of delay robustness is elaborated, in which the mean-square stabilizability condition is extended to the case tolerating uncertain but upper-bounded time delays. Overall, this study provides a comprehensive analysis of the robust mean-square stability and mean-square stabilizability of time-delay systems under stochastic uncertainties, which can have practical implications for networked control systems. © 1963-2012 IEEE.

关键词： Continuous time systems

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DFNet: Dense fusion convolution neural network for plant leaf disease classification

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Agronomy Journal 2024年第3期116卷 826-838页

作者： Faisal, Muhamad Leu, Jenq-Shiou Avian, Cries Prakosa, Setya Widyawan Köppen, Mario Department of Electronic and Computer Engineering (ECE) National Taiwan University of Science and Technology Taipei City Taiwan Department of Computer Science and Systems Engineering (CSSE) Graduate School of Computer Science and Systems Engineering Kyushu Institute of Technology Fukuoka Iizuka-shi Japan

The early identification of plant diseases is crucial for preventing the loss of crop production. Recently, the advancement of deep learning has significantly improved the identification of plant leaf diseases. However, most approaches depend on a single convolutional neural network (CNN) to extract the leaf features, ignoring the opportunity to take full advantage of the feature richness available in the images. This paper explores a novel CNN model with multiple automated feature extractors, namely, dense fusion CNN (DFNet), for classifying plant leaf diseases. DFNet aims to increase the diversity of extracted features in order to improve discrimination. Instead of using a single-CNN model, DFNet relies on a double-pretrained CNN model, MobileNetV2 and NASNetMobile, as the feature extractor. The features extracted from each CNN are fused in the fusion layer using a fully connected network. The proposed method was evaluated using corn (Zea mays L.) and coffee (Coffea canephora) leaf disease datasets and compared to the existing models. The experiment showed that DFNet is superior and consistent to other CNN methods by achieving an accuracy of 97.53% for corn leaf diseases and 94.65% for coffee leaf diseases. © 2023 The Authors. Agronomy Journal © 2023 American Society of Agronomy.

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Robust reliable H∞ control for offshore steel jacket platforms via memory sampled-data strategy

Robust reliable H∞ control for offshore steel jacket platfo...

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作者： Saravanakumar, Ramasamy Kazemy, Ali Cao, Yang Graduate School of Advanced Science and Engineering Hiroshima University Higashi-Hiroshima Japan Department of Electrical Engineering Tafresh University Tafresh Iran School of Cyber Science and Engineering Southeast University Nanjing China

This article deals with robust reliable (Formula presented.) control-based stabilization criteria for offshore steel jacket platforms (OSJPs) via memory sampled-data control (SDC) with parameter uncertainty. By applying the memory SDC design into control input, a new stabilization criterion is derived that reduces the wave-induced vibration of the OSJP. The looped-functional approach is adopted to obtain sufficient conditions for the uncertain offshore platform system to resolve the stabilization of OSJP and achieve a reliable SDC design with a disturbance attenuation level (Formula presented.). Furthermore, free-matrix-based (FMB) integral inequality and linear matrix inequality techniques are used to facilitate the derivation of key results. The simulation results demonstrate the effectiveness and significance of the proposed approach. © 2022 John Wiley & Sons, Ltd.

关键词： Linear matrix inequalities

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Comprehensive multimodal approach for Parkinson’s disease classification using artificial intelligence: insights and model explainability

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Soft Computing 2025年第3期29卷 1845-1877页

作者： Balaha, Hossam Magdy Hassan, Asmaa El-Sayed Ahmed, Rawan Ayman Balaha, Magdy Hassan Bioengineering Department J.B. Speed School of Engineering University of Louisville LouisvilleKY United States Computer Science and Control Systems Engineering Department Faculty of Engineering Mansoura University Mansoura Egypt Mathematics and Engineering Physics Department Faculty of Engineering Mansoura University Mansoura Egypt Department of Obstetrics and Gynecology Faculty of Medicine Tanta University Tanta Egypt

Parkinson’s disease (PD) is a debilitating neurodegenerative disorder affecting millions worldwide. Early detection is vital for effective management, yet remains challenging. In this study, we investigated four distinct datasets for PD detection. Through comprehensive experimentation employing ensemble methods and feature selection, we achieved high classification accuracies across the datasets. For the Oxford Parkinson’s Disease Detection Dataset, an accuracy of 95.67%, precision of 97.59%, recall of 84.5%, specificity of 99.32%, and F1-score of 90.57% were achieved. For the Alzheimer Parkinson Diseases 3 Class Dataset, the "Stacking" approach surpasses individual models, reaching an accuracy of 99.85%, precision of 99.81%, recall of 99.81%, specificity of 99.86%, and F1 of 99.81%. For the NewHandPD dataset, Regarding the Spiral category, The "Base-P32-384" model surpasses others with an accuracy of 97.35%, precision of 96.50%, recall of 98.57%, and F1-score of 97.53%. The collective "Stacking" approach proves highly effective regarding the Circle category, achieving 100% across all performance metrics. Regarding the Meander category, the "Base-P16-224" model achieves an accuracy of 97.35%, precision of 99.26%, recall of 95.71%, specificity of 99.19%, and F1 of 97.45%. The Mobile Device Voice Recordings at King’s College London (MDVR-KCL) dataset contains two datasets. Regarding the "SpontaneousDialogue" dataset, accuracy, BAC, precision, recall, specificity, and F1-score were computed, resulting in values of 94.03%, 92.83%, 90.78%, 100.0%, and 85.67%, respectively. Regarding the "ReadText" dataset, accuracy, BAC, precision, recall, specificity, and F1-score were computed, resulting in values of 91.89%, 90.62%, 87.5%, 100.0%, and 81.25%, respectively. Our findings highlight the efficacy of leveraging diverse data sources and advanced machine learning techniques to enhance PD detection accuracy. © The Author(s), under exclusive licence to Springer-Verlag GmbH Germa

关键词： Neurodegenerative diseases

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Prescribed-Time Nash Equilibrium Seeking for Pursuit-Evasion Game

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IEEE/CAA Journal of Automatica Sinica 2024年第6期11卷 1518-1520页

作者： Lei Xue Jianfeng Ye Yongbao Wu Jian Liu D.C.Wunsch Key Laboratory of Measurement and Control of Complex Systems of Engineering Ministry of EducationNanjing 210096 School of Automation Southeast UniversityNanjing 210096China Department of Electrical and Computer Engineering Missouri University of Science and TechnologyRollaMO 65409 USA IEEE

Dear Editor,This letter is concerned with prescribed-time Nash equilibrium(PTNE)seeking problem in a pursuit-evasion game(PEG)involving agents with second-order *** order to achieve the prior-given and user-defined convergence time for the PEG,a PTNE seeking algorithm has been developed to facilitate collaboration among multiple pursuers for capturing the evader without the need for any global ***,it is theoretically proved that the prescribedtime convergence of the designed algorithm for achieving Nash equilibrium of ***,the effectiveness of the PTNE method was validated by numerical simulation results.A PEG consists of two groups of agents:evaders and *** pursuers aim to capture the evaders through cooperative efforts,while the evaders strive to evade *** is a classic noncooperative *** has attracted plenty of attention due to its wide application scenarios,such as smart grids[1],formation control[2],[3],and spacecraft rendezvous[4].It is noteworthy that most previous research on seeking the Nash equilibrium of the game,where no agent has an incentive to change its actions,has focused on asymptotic and exponential convergence[5]-[7].

关键词： seeking prescribed convergence

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