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Achieving Fine-Grained and Flexible Access control on Blockchain-Based Data Sharing for the Internet of Things

China Communications 2022年第6期19卷 22-34页

作者： Ruimiao Wang Xiaodong Wang Wenti Yang Shuai Yuan Zhitao Guan School of Control and Computer Engineering North China Electric Power UniversityBeijing 102206China Department of Finance Operationsand Information SystemsBrock UniversityCanada

The traditional centralized data sharing systems have potential risks such as single point of failures and excessive working load on the central *** a distributed and collaborative alternative,approaches based upon blockchain have been explored recently for Internet of Things(IoTs).However,the access from a legitimate user may be denied without the pre-defined policy and data update on the blockchain could be costly to the *** this paper,we first address these issues by incorporating the Accountable Subgroup Multi-Signature(ASM)algorithm into the Attribute-based Access control(ABAC)method with Policy Smart Contract,to provide a finegrained and flexible ***,we propose a policy-based Chameleon Hash algorithm that allows the data to be updated in a reliable and convenient way by the authorized ***,we evaluate our work by comparing its performance with the *** results demonstrate significant improvement on the effectiveness and efficiency.

关键词： blockchain access control smart contract multi-signature chameleon-hash data sharing Internet of Things

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Studying the Influence of Working Fluid Temperature on the Performance of an Electrohydraulic Servo System in Dynamic Mode

Studying the Influence of Working Fluid Temperature on the P...

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2023 International Conference Automatics and Informatics, ICAI 2023

作者： Yordanov, Stanimir Ormandzhiev, Krasimir Mihalev, Georgi Kostov, Krasen Mitev, Veselin Technical University of Gabrovo Department of Automation Information and Control Systems Gabrovo Bulgaria Technical University of Gabrovo Department of Power Engineering Gabrovo Bulgaria

ISBN: (纸本)9798350312911

The paper examines the influence of the working fluid temperature on power losses in an electro-hydraulic servo system. The behavior of the system has been investigated under Proportional-Integral (PI) control at different working fluid temperatures and various control setpoints. An Adaptive PID controller has been synthesized, utilizing feedback from sensors to measure various system parameters (such as temperature, pressure, and RPM), and then adapting the parameters of the P, I, and D components of the controller based on this data to achieve optimal regulation. © 2023 IEEE.

关键词： controllers

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Higher harmonics influence on stability of arcing single phase-to-earth faults in 6−10 kV networks with arc-suppression coil

Higher harmonics influence on stability of arcing single pha...

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2021 IEEE power and Energy Student Summit, PESS 2021

作者： Kutumov, Yuri D. Shadrilkova, Tatyana Yu. Shuin, Vladimir A. Automatic Control of Electrical Power Systems Department Ivanovo State Power Engineering University Ivanovo Russia

ISBN: (纸本)9783800757169

This paper focuses on the research of steady-state earthing arc burning conditions in the context of influence of higher harmonic components in earth fault current. The criteria of arc burning stability and of single phase-to-earth fault transfer to phase-to-phase short circuit are offered in the paper. Calculation of the time period for which arcing single phase-to-earth fault transfers to phase-to-phase short circuit, was conducted. Also the root mean square value of residual fault current which makes steady-state earthing arc burning possible, was defined with the usage of COMSOL Multiphysics and PSCAD software. The obtained results can be used during development and research of single phase-to-earth fault and thermal overload relay protection devices. © VDE VERLAG GMBH · Berlin · Offenbach.

关键词： Electric grounding

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A data selection method for matrix effects and uncertainty reduction for laser-induced breakdown spectroscopy

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Plasma Science and Technology 2023年第7期25卷 82-89页

作者：龙杰宋惟然侯宗余王哲 State Key Laboratory of Power System Operation and Control Systems International Joint Laboratory on Low Carbon Clean Energy InnovationDepartment of Energy and Power EngineeringTsinghua UniversityBeijing 100084People’s Republic of China Shanxi Research Institute for Clean Energy Tsinghua UniversityTaiyuan 030032People’s Republic of China

Severe matrix effects and high signal uncertainty are two key bottlenecks for the quantitative performance and wide applications of laser-induced breakdown spectroscopy(LIBS).Based on the understanding that the superposition of both matrix effects and signal uncertainty directly affects plasma parameters and further influences spectral intensity and LIBS quantification performance,a data selection method based on plasma temperature matching(DSPTM)was proposed to reduce both matrix effects and signal *** selecting spectra with smaller plasma temperature differences for all samples,the proposed method was able to build up the quantification model to rely more on spectra with smaller matrix effects and signal uncertainty,therefore improving final quantification *** applied to quantitative analysis of the zinc content in brass alloys,it was found that both accuracy and precision were improved using either a univariate model or multiple linear regression(MLR).More specifically,for the univariate model,the root-mean-square error of prediction(RMSEP),the determination coefficients(R^(2))and relative standard derivation(RSD)were improved from 3.30%,0.864 and 18.8%to 1.06%,0.986 and 13.5%,respectively;while for MLR,RMSEP,R^(2)and RSD were improved from 3.22%,0.871 and 26.2%to 1.07%,0.986 and 17.4%,*** results prove that DSPTM can be used as an effective method to reduce matrix effects and improve repeatability by selecting reliable data.

关键词： laser-induced breakdown spectroscopy(LIBS) quantification uncertainty univariate/multivariate analysis matrix effects temperature matching

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Fault Detection in Electric Drives Based on LSTM Autoencoder Model Machine Learning Approach 25

Fault Detection in Electric Drives Based on LSTM Autoencoder...

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25th IEEE International Conference of Young Professionals in Electron Devices and Materials, EDM 2024

作者： Demidova, Galina Privalov, Daniil Semenov, Denis Lukichev, Dmitry Liu, Zhitao Anuchin, Alecksey Faculty of Control System and Robotics ITMO University Saint-Petersburg Russia Institute of Cyber-Systems and Control Zhejiang University Hangzhou China Department of Electric Drives Moscow Power Engineering Institute Moscow Russia

ISBN: (纸本)9798350389234

Fault detection in electric drives is crucial for ensuring operational reliability and minimizing downtime. This paper provides a brief overview of the methods based on machine learning used for fault detection in electric drives. Additional this research presents a machine learning approach that utilizes the Long Short-Term Memory Autoencoder model for fault detection deal with bearing faults. A flowchart illustrating the implementation steps of the Long Short-Term Memory Autoencoder algorithm is included. Additionally, a case study on bearing faults in an electric drive system is presented to demonstrate the advantage of the proposed approach. By training the Long Short-Term Memory Autoencoder on operational data, accurate prediction of bearing faults is achieved, enabling timely maintenance interventions. It is shown that in the 7th epoch of training, the model achieved a notably high accuracy more than 99%. The results highlight the potential of Long Short-Term Memory Autoencoder models as a valuable tool for fault detection in electric drives, thereby improving system reliability and performance. © 2024 IEEE.

关键词： Machine learning

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Editorial:special issue on analysis and control of complex systems in honor of the 90th birthday of Professor Huashu Qin

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control Theory and Technology 2024年第3期22卷 343-344页

作者： Yiguang Hong Shengwei Mei Ping Yang Department of Control Science and Engineering Tongji UniversityShanghai200092China Shanghai Research Institute for Intelligent Autonomous Systems Tongji UniversityShanghai200092China Department of Electrical Engineering and Applied Electronics Technology Tsinghua UniversityBeijing100084China School of Electric Power South China University of TechnologyGuangzhou510640GuangdongChina

It is our great pleasure to organize this special issue in control Theory and Technology in honor of the 90th birthday of Professor Huashu *** is one of the pioneers in control theory and applications in China,and has made many truly outstanding contributions to the field including nonlinear dynamics and control,intelligent control,robotics and complex *** is no surprise that she was selected as a representative introduced significantly in“Women in control”of IEEE control systems Magazine.

关键词： control honor analysis

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Active Distribution Network Energy Storage Planning Model for Reliability Requirements 3

Active Distribution Network Energy Storage Planning Model fo...

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3rd Asia power and Electrical Technology Conference, APET 2024

作者： Sun, Yaqi Wu, Wenchuan Zhao, Haotian Sheng, Yujie Tsinghua University State Key Laboratory of Power Systems Department of Electrical Engineering Beijing China State Grid Fujian Electric Power Dispatching and Control Center State Grid Fujian Electric Power Co. Ltd Fuzhou China

ISBN: (纸本)9798350367690

The integration of renewable energy sources into the power grid introduces significant volatility, which presents new challenges to maintaining reliable power supply. This increased volatility amplifies the demand for energy storage solutions within distribution networks. To address these challenges, this paper first develops an analytical reliability assessment model and embeds it into an energy storage configuration model. Then the model is converted into a Mixed-Integer Linear Programming (MILP) model for efficient solution. Case studies demonstrate that this approach can be used for energy storage planning according to different reliability requirements. © 2024 IEEE.

关键词： power distribution reliability

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Automated and controlled patch generation for enhanced fixing of communication software vulnerabilities

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Intelligent and Converged Networks 2024年第3期5卷 222-236页

作者： Shuo Feng Shuai Yuan Zhitao Guan Xiaojiang Du School of Control and Computer Engineering North China Electric Power UniversityBeijing 100029China Department of Finance Operationsand Information SystemsBrock UniversitySt.Catharines L2S3A1Canada Department of Electrical and Computer Engineering Stevens Institute of TechnologyHobokenNJ 07030USA

Software is a crucial component in the communication systems,and its security is of paramount ***,it is susceptible to different types of attacks due to potential ***,significant time and effort is required to fix such *** propose an automated program repair method based on controlled text generation ***,we utilize a fine-tuned language model for patch generation and introduce a discriminator to evaluate the generation process,selecting results that contribute most to vulnerability ***,we perform static syntax analysis to expedite the patch verification *** effectiveness of the proposed approach is validated using QuixBugs and Defects4J datasets,demonstrating significant improvements in generating correct patches compared to other existing methods.

关键词： automatic program repair controlled text generation communication software security program language model

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A Joint Prediction Method of Multi-State Variables for High-Voltage Cables Based on GRU 10th

A Joint Prediction Method of Multi-State Variables for High-...

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10th Frontier Academic Forum of Electrical engineering, FAFEE 2022

作者： Chen, Jianning Zhou, Yuanxiang Lin, Menglong Pan, Zehua Ge, Jiamin State Key Laboratory of Control and Simulation of Power Systems and Generation Equipment Department of Electrical Engineering Tsinghua University Beijing100084 China

ISBN: (纸本)9789819934034

In order to carry out risk warning for high-voltage cable transmission system and realize differentiated operation and maintenance decision-making, it is necessary to carry out time series prediction for online monitoring state quantities of high-voltage cables such as load current, partial discharge, and grounding circulating current. Therefore, a joint prediction method for multi-state variables of high-voltage cables based on Gate Recurrent Unit (GRU) is proposed. Taking the online monitoring state quantities of a certain area in central China in May as the analysis data set, a GRU network is built to predict the sequence of multi-state quantities, compared with different models. Taking the phase A load current of a node of the cable as an example to carry out state prediction, the results show that compared with the Long Short Term Memory (LSTM) neural network, back-propagation neural network (BPNN), and Auto Regressive Integrated Moving Average (ARIMA) model, the accuracy of the sequence prediction model based on GRU is Higher. When predicting for 5 min, the MAE and RMSE are 1.94 and 2.65 A, respectively, with the MAPE of 0.54%. When predicting for 30 min, the MAE and RMSE are 9.81 and 15.36 A, respectively, with the MAPE of 2.89%. When predicting for 1 h, the MAE and RMSE are 17.05 and 27.47 A, respectively, with the MAPE of 4.91%. The GRU model performs better due to the suppression on over-fitting of training data with simpler model structure. © Beijing Paike Culture Commu. Co., Ltd. 2023.

关键词： Forecasting

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Influence of Resonant Frequency on power of the High-Voltage Transformer-Less Resonant Charger of Capacitive Energy Storage Device 7

Influence of Resonant Frequency on Power of the High-Voltage...

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7th IEEE International Conference on Smart Technologies in power engineering and Electronics, STEE 2024

作者： Vinnychenko, Dmytro Nazarova, Natalia Vinnichenko, Irina Institute of Electrodynamics of the National Academy of Sciences of Ukraine Department of Technological Systems of Power Supply Kyiv Ukraine Institute of Pulse Processes and Technologies Department of Impulse Electrical Engineering Systems Mykolaiv Ukraine Admiral Makarov National University of Shipbuilding Department of Computerized Control Systems Mykolaiv Ukraine

ISBN: (纸本)9798331540999

The dependences of the charging time of the capacitive energy storage device to the specified voltage and power of the inverter high-voltage transformer-less resonant charger of the capacitive energy storage on the resonant frequency were obtained. The obtained dependences made it possible to substantiate the frequency range for which the greatest power of the high-voltage resonant charger of the capacitive energy storage device at the constant charging current will be provided. Simulation of the charging process of capacitive energy storage with high-voltage transformer-less resonant charger was performed. © 2024 IEEE.

关键词： Capacitor storage

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