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Concept and Research Framework for Coordinated Situation Awareness and Active Defense of Cyber-physical Power Systems Against Cyber-attacks

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Journal of Modern Power Systems and Clean Energy 2021年第3期9卷 477-484页

作者： Ming Ni Manli Li Jun’e Li Yingjun Wu Qi Wang the NARI Group Corporation(State Grid Electric Power Research Institute) NARI Technology Co.Ltd.and the State Key Laboratory of Smart Grid Protection and ControlNanjing 211106China the School of Cyber Science and Engineering Wuhan Universityand the Key Laboratory of Aerospace Information Security and Trusted Computing of the Ministry of EducationWuhan 430072China the College of Energy and Electrical Engineering Hohai UniversityNanjing 211100China the School of Electrical Engineering Southeast UniversityNanjing 210096China

Due to the tight coupling between the cyber and physical sides of a cyber-physical power system(CPPS),the safe and reliable operation of CPPSs is being increasingly impacted by cyber *** situation poses a challenge to traditional security defense systems,which considers the threat from only one side,i.e.,cyber or *** cope with cyberattacks,this paper reaches beyond the traditional one-side security defense systems and proposes the concept of cyber-physical coordinated situation awareness and active defense to improve the ability of *** example of a regional frequency control system is used to show the validness and potential of this ***,the research framework is presented for studying and implementing this ***,key technologies for cyber-physical coordinated situation awareness and active defense against cyber-attacks are introduced.

关键词： Cyber-physical power system(CPPS) cyber security cyber-attack situation awareness active defense

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A Dispatching Method for Integrated Energy System Based on Dynamic Time-interval of Model Predictive control

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Journal of Modern Power Systems and Clean Energy 2020年第5期8卷 841-852页

作者： Xun Dou Jun Wang Zhen Wang Lijuan Li Linquan Bai Shuhui Ren Min Gao IEEE College of Electrical Engineering and Control Science Nanjing Tech UniversityNanjingChina Department of Systems Engineering and Engineering Management University of North Carolina at CharlotteCharlotteUSA Falcon Computing Solutions 10880 Wilshire Blvd Suite 1132Los AngelesCA 90024USA

In integrated energy systems(IESs),traditional fixed time-interval dispatching scheme is unable to adapt to the need of dynamic properties of the transient network,demand response characteristics,dispatching time scales in energy subsystems and renewable power *** scheme may easily result in uneconomic source-grid-load-storage operations in *** this paper,we propose a dispatching method for IES based on dynamic time-interval of model predictive control(MPC).We firstly build models for energy sub-systems and multi-energy loads in the power-gas-heat ***,we develop an innovative optimization method leveraging trajectory deviation control,energy control,and cost control frameworks in MPC to handle the requirements and constraints over the timeinterval of ***,a dynamic programming algorithm is introduced to efficiently solve the proposed *** and simulation results prove the effectiveness of the method.

关键词： Dispatching scheme dynamic time-interval integrated energy system model predictive control

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Reinforcement Learning-Based Sensitive Semantic Location Privacy Protection for VANETs

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China Communications 2021年第6期18卷 244-260页

作者： Minghui Min Weihang Wang Liang Xiao Yilin Xiao Zhu Han Department of Information and Communication Engineering Xiamen UniversityXiamen 361005China School of Information and Control Engineering ChinaUniversity of Mining and TechnologyXuzhou 221116China The Affiliated Hospital of China University of Mining and Technology Xuzhou 221116China Department of Electrical and Computer Engineering University of HoustonHouston TX 77004USA Beijing Key Laboratory of Mobile Computing and Pervasive Device No.6 Kexueyuan South RoadBeijing 100190China

Location-based services(LBS)in vehicular ad hoc networks(VANETs)must protect users’privacy and address the threat of the exposure of sensitive locations during LBS *** release not only their geographical but also semantic information of the visited places(e.g.,hospital).This sensitive information enables the inference attacker to exploit the users’preferences and life *** this paper we propose a reinforcement learning(RL)based sensitive semantic location privacy protection *** scheme uses the idea of differential privacy to randomize the released vehicle locations and adaptively selects the perturbation policy based on the sensitivity of the semantic location and the attack *** scheme enables a vehicle to optimize the perturbation policy in terms of the privacy and the quality of service(QoS)loss without being aware of the current inference attack model in a dynamic privacy protection *** solve the location protection problem with high-dimensional and continuous-valued perturbation policy variables,a deep deterministic policy gradientbased semantic location perturbation scheme(DSLP)is *** actor part is used to generate continuous privacy budget and perturbation angle,and the critic part is used to estimate the performance of the *** demonstrate the DSLP-based scheme outperforms the benchmark schemes,which increases the privacy,reduces the QoS loss,and increases the utility of the vehicle.

关键词： semantic location sensitivity locationbased services VANET differential privacy reinforcement learning

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Reliability modeling and verification of communication algorithm flow for intelligent control system 4

Reliability modeling and verification of communication algor...

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4th International Conference on Advanced Electronic Materials, Computers and Software engineering, AEMCSE 2021

作者： Ran, Wu Jiajia, Wang Beijing Air Traffic Control Engineering Technology Co. Ltd Beijing China Applied Mathematics Research Center of CASIC Beijing Jinghang Research Institute of Computing and Communication Beijing China

ISBN: (纸本)9781665415965

The intelligent system controls the subsystems of each aircraft in real time to ensure the normal development of the tasks of the aircraft system. In the process of system communication, the control system is required to strictly control the correctness of the control algorithm flow and the accuracy of the control sequence in order to ensure the safety of the aircraft system. This paper uses UPPAAL, a formal model detection tool based on time automata theory, to formally model and validate the algorithm flow of an intelligent system and a subsystem. First, the algorithm flow of the intelligent system is analyzed, and then it is formally modeled using the time automaton method. Second, the properties that need to be verified are extracted from the algorithm flow and described with the formal language BNF. Finally, the function and performance correctness are automatically verified using the UPPAAL model detection tool. The experimental results verify that the intelligent system meets the security, accessibility and activity requirements. © 2021 IEEE.

关键词： Intelligent systems

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SymAware: A Software Development Framework for Trustworthy Multi-Agent Systems with Situational Awareness

arXiv

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arXiv 2024年

作者： Casablanca, Ernesto Zhang, Zengjie Marchesini, Gregorio Haesaert, Sofie Dimarogonas, Dimos V. Soudjani, Sadegh School of Computing Newcastle University Newcastle United Kingdom Department of Electrical Engineering Eindhoven University of Technology Eindhoven Netherlands Division of Decision and Control Systems KTH Royal Institute of Technology Stockholm Sweden Max Planck Institute for software systems Germany

Developing trustworthy multi-agent systems for practical applications is challenging due to the complicated communication of situational awareness (SA) among agents. This paper showcases a novel efficient and easy-to-use software framework for multi-agent simulation, named SymAware which provides a rich set of predefined data structures to compute, store, and communicate SA for agents. It also provides an abstract interface for the agents to compute their control inputs taking into account the awareness of the situation, knowledge, and risk of surrounding agents. Besides, utilizing a cluster of specialized components, SymAware hides the heavy computation of physical rendering and communication interfacing of simulation engines behind the control threads, resulting in high implementation efficiency in bridging the gap between conceptual prototyping and practical applications. Three multiagent case studies are used to validate the efficacy and efficiency of this software framework. © 2024, CC BY.

关键词： Software design

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Progressive Supervision Via Label Decomposition: An Long-Term and Large-Scale Wireless Traffic Forecasting Method

SSRN

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SSRN 2024年

作者： Liang, Daojun Zhang, Haixia Yuan, Dongfeng Zhang, Minggao School of Information Science and Engineering Shandong University Qingdao266237 China School of Control Science and Engineering Shandong University Shandong Jinan250061 China School of Qilu Transportation Shandong University Jinan250002 China Shandong Key Laboratory of Intelligent Communication and Sensing-Computing Integration Shandong University China

Long-term and Large-scale Wireless Traffic Forecasting (LL-WTF) is pivotal for strategic network management and comprehensive planning on a macro scale. However, LL-WTF poses greater challenges than short-term ones due to the pronounced non-stationarity of extended wireless traffic and the vast number of nodes distributed at the city scale. To cope with this, we propose a Progressive Supervision method based on Label Decomposition (PSLD). Specifically, we first introduce a Random Subgraph Sampling (RSS) algorithm designed to sample a tractable subset from large-scale traffic data, thereby enabling efficient network training. Then, PSLD employs label decomposition to obtain multiple easy-to-learn components, which are learned progressively at shallow layers and combined at deep layers to effectively cope with the non-stationary problem raised by LL-WTF tasks. Finally, we compare the proposed method with various state-of-the-art (SOTA) methods on three large-scale WT datasets. Extensive experimental results demonstrate that the proposed PSLD significantly outperforms existing methods, with an average 2%, 4%, and 11% performance improvement on three WT datasets, respectively. In addition, we built an open source library for WT forecasting (WTFlib) to facilitate related research, which contains numerous SOTA methods and provides a strong benchmark. Experiments can be reproduced through https://***/Anoise/WTFlib. © 2024, The Authors. All rights reserved.

关键词： HTTP

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On Interval Perturbation of the ɑ-Symmetric Implicational Algorithm 2nd

On Interval Perturbation of the ɑ-Symmetric Implicational A...

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2nd International Conference on Artificial Intelligence Logic and Applications, AILA 2022

作者： Tang, Yiming Han, Jianghui Bao, Guangqing Chen, Rui Anhui Province Key Laboratory of Affective Computing and Advanced Intelligent Machine School of Computer and Information Hefei University of Technology Anhui Hefei230601 China Engineering Research Center of Safety Critical Industry Measure and Control Technology Ministry of Education Hefei University of Technology Anhui Hefei230601 China

ISBN: (纸本)9789811975097

Perturbation is an important property of fuzzy reasoning algorithms. It is an important task to estimate the upper and lower bounds of the output after a perturbation (such as an interval perturbation) is given to the input. In this study, the interval perturbation problem of a fuzzy reasoning algorithm, i.e., the ɑ-symmetric implicational algorithm, is researched systematically. For FMP (Fuzzy Modus Ponens) and FMT (Fuzzy Modus Tollens) problems of fuzzy reasoning, aiming at the case of a single rule, the estimation for the upper and lower bounds are obtained for the input interval disturbance, in which R-implications and (S, N)-implications are mainly employed. Then the stability is verified on account of the upper and lower bounds. Following that, for the multi-rule case, the upper and lower bounds of the output are also given, and the corresponding stability is validated. In conclusion, it is found that the ɑ-symmetric implicational algorithm has good stability. © 2022, The Author(s), under exclusive license to Springer Nature Singapore Pte Ltd.

关键词： Fuzzy inference

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Fast Robust Switching control Scheme for PWR-Type Nuclear Power Plants

Fast Robust Switching Control Scheme for PWR-Type Nuclear Po...

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Chinese control Conference (CCC)

作者： Piyush V. Surjagade Jiamei Deng S. R. Shimjith School of Built Environment Engineering and Computing Leeds Beckett University Leeds United Kingdom Reactor Control Division Bhabha Atomic Research Centre Mumbai India Homi Bhabha National Institute Mumbai India

In sophisticated and complex systems such as nuclear power plant, maintaining the system's stability in the presence of uncertainties and disturbances is the most challenging problem. Thus, to assure the satisfactory and safe operation, this work proposes a novel fast robust optimal switching control strategy for pressurized water reactor-type nuclear power plants. The proposed control strategy guarantees a substantial degree of robustness, fast dynamic response over the entire operational envelope, and optimal performance during nominal operation of the plant. A bank of controllers is designed which consist of baseline controller, an optimal controller, and a robust controller. At any instant of time, the most suitable controller from the bank of controllers is selected using the switching logic unit that designates the controller by monitoring the health of the plant or transients. Simulation studies have been performed that demonstrate the applicability and effectiveness of the proposed switching control scheme over some conventional control techniques used to design it.

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Analytical-Chemistry-Informed Transformer for Infrared Spectra Modeling 39

Analytical-Chemistry-Informed Transformer for Infrared Spect...

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39th Annual AAAI Conference on Artificial Intelligence, AAAI 2025

作者： Huang, Shiluo Jin, Yining Jin, Wei Mu, Ying School of Computing and Artificial Intelligence Southwestern University of Finance and Economics Chengdu China Department of Electrical and Computer Engineering University of Alberta EdmontonAB Canada Research Centre for Analytical Instrumentation State Key Laboratory of Industrial Control Technology Zhejiang University Hangzhou China

ISBN: (纸本)157735897X

Infrared (IR) spectroscopy is a fundamental technique in analytical chemistry. Recently, deep learning (DL) has drawn great interest as the modeling method of infrared spectral data. However, unlike vision or language tasks, IR spectral data modeling is faced with the problem of calibration transfer and has distinctive characteristics. Introducing the prior knowledge of IR spectroscopy could guide the DL methods to learn representations aligned with the domain-invariant characteristics of spectra, and thus improve the performance. Despite such potential, there is a notable absence of DL methods that incorporate such inductive bias. To this end, we propose Analytical-Chemistry-Informed Transformer (ACT) with two modules informed by the field knowledge in analytical chemistry. First, ACT includes learnable spectral processing inspired by chemometrics, which comprises spectral pre-processing, tokenization, and post-processing. Second, a straightforward yet effective representation learning mechanism, namely spectral-attention, is incorporated into ACT. Spectral-attention utilizes the intra-spectral and inter-spectral correlations to extract spectral representations. Empirical results show that ACT has achieved competitive results in 9 analytical tasks covering applications across pharmacy, chemistry, and agriculture. Compared with existing networks, ACT reduces the root mean square error of prediction (RMSEP) by more than 20% in calibration transfer tasks. These results indicate that DL methods in IR spectroscopy could benefit from the integration of prior knowledge in analytical chemistry. Copyright © 2025, Association for the Advancement of Artificial Intelligence (***). All rights reserved.

关键词： Deep learning

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Intraoral scanner and stereographic 3D print in prosthodontics: three-year evaluation of in vitro and in vivo approaches

Intraoral scanner and stereographic 3D print in prosthodonti...

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Imaging, Therapeutics, and Advanced Technology in Head and Neck Surgery and Otolaryngology 2024

作者： Dostalova, Tatjana Nocar, Adam Eliasova, Hana Macek, Milan Hliňáková, Petra Procházka, Aleš Department of Stomatology Charles University 2nd Faculty of Medicine Motol University Hospital Prague V Uvalu 84 Prague150 06 Czech Republic Department of Biology and Medical Genetics Charles University 2nd Faculty of Medicine Motol University Hospital Prague V Uvalu 84 Prague150 06 Czech Republic Department of Computing and Control Engineering University of Chemistry and Technology in Prague Prague166 28 Czech Republic

ISBN: (纸本)9781510668959

In prosthodontics, 3D printing primarily relies on intraoral scanners equipped with a handheld camera, computer, and software. These scanners capture and reconstruct the three-dimensional geometry of the dental arch. Traditional plaster models of teeth are typically obtained through an impression process, where the choice of appropriate impression material is determined by the desired model type. Subsequently, the dental impression is covered with plaster in the laboratory. Three-dimensional (3D) printing, formerly an industrial technology with a development history spanning over forty years, is based on creating a 3D model of any shape from a digitally prepared scan, employing an addition of selected material. The thickness of the layers in the printing process depends on the technology of the used printer and the quality of the print. The layers are systematically applied, and cured, and, after this process, a complete model is generated. 3D printing can be utilized to prepare models for various applications, including prosthodontics, orthodontics, surgery, and more. Our study aimed to assess stereolithography-printed models in vitro and in vivo over the last three years. © 2024 SPIE.

关键词： Dentistry

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