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Analysis of the Signal and computing Technology in Finite Space

Analysis of the Signal and Computing Technology in Finite Sp...

引用

2023 IEEE international conference on electrical, Automation and Computer engineering, ICEACE 2023

作者： Zhao, Peng Guo, Kai Liu, Benyun Liu, Jinglong Tong, Xinyuan Li, Xinjie Yue, Caipeng Wang, Siwei Ma, Tan Shen, Tong Shandong Electric Power Research Institute State Grid Corporation of China Jinan250002 China State Grid Jinan Electric Power Company State Grid Corporation of China Jinan250002 China

ISBN: (纸本)9798350309614

The limited space health intelligence sensing program is developed, the main function is to coordinate the startup and work of each hardware module, and obtain and transmit the monitoring data of operators. By using fuzzy, neural network analysis, topology analysis and other models, the monitoring parameters are counted, analyzed and cross-verified to predict the risk level. This paper calculates, predicts and evaluates the limited space threshold, personnel or equipment moving track and location, intelligent perception terminal displays and evaluates the safety status of the job site, personnel, equipment, etc., in real time, to realize the rapid disposal of emergencies and the rapid implementation of emergency rescue. © 2023 IEEE.

关键词： burn computer master control program programming programming language

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A Keyword Extraction Method Integrating Word Semantic Similarity and Topic Model 13

A Keyword Extraction Method Integrating Word Semantic Simila...

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13th international conference on control, Automation and Information sciences, ICCAIS 2024

作者： Liu, Weifeng Li, Wanyu Ma, Liwen School of Electrical and Control Engineering Shaanxi University of Science and Technology Xi'an China

ISBN: (纸本)9798331542047

The existing unsupervised random walk keyphrase extraction model mainly relies on the global structural information of the word graph. It ignores the external structure and topic information of the document. To address this problem, this paper proposes a keyphrase extraction method that integrates word sense similarity and document implicit topic information. First, the latent Dirichlet allocation (LDA) topic model is used to calculate the implicit topic distribution in the document. It can quantify the preference of each word for different topics in the document. The random jump probability in the graph is converted into the importance of the word on the implicit topic. Secondly, the word sense similarity is introduced to reset the influence between different words. The importance weights of the words in the original word graph are converted into non-uniform transfer. Finally, the candidate keyword weights are calculated through iteration. The selected keywords are expanded into valid keyphrases based on the grammar. The TopN candi-date keyphrases with higher importance scores are selected as document keyphrases. The improved algorithm performs better than TextRank and SingleRank. The Fl-Scores are improved by 8.51 % and 4.92 % respectively. Experimental results show that this method can make full use of document topic information and word sense similarity. It makes the automatic keyphrase extraction effect more significant. © 2024 IEEE.

关键词： Keyphrase extraction Text processing TextRank Topic Model Word Semantic Similarity

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Model Predictive Current control for Asymmetric Six-phase Permanent Magnet Motors with Less Computation and Optimized Voltage Vector Magnitude

Model Predictive Current Control for Asymmetric Six-phase Pe...

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2022 international conference on Smart Energy and electrical engineering, SEEE 2022

作者： Sun, Jinyu Chen, Fubing Huai'An Key Laboratory of Big Data Intelligent Computing and Analysis China The School of Computer Science and Technology Huaiyin Normal University Huaian223001 China

For the sake of the fixed magnitude of candidate control sets, the conventional model predictive current control (MPCC) for asymmetric six-phase permanent magnet motors suffers from huge harmonic currents. This article designs a novel MPCC that aims to improve operational performance. First, virtual-voltage vector (VV) sets are synthesized as the new candidate vectors to restrain harmonic currents. Then, a simplified method for evaluating voltage vectors is used to alleviate the computation in the enumeration process. Moreover, the duty cycle modulation with the deadbeat solution is introduced to optimize the magnitude of the VV. The modulation range can be expanded by utilizing null vectors, which will significantly reduce the torque fluctuations and flux ripples. The experiments are conducted to verify the designed control strategy. © Published under licence by IOP Publishing Ltd.

关键词： Vectors

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Identity Recognition based on Palmprints: The Preliminary Results 21

Identity Recognition based on Palmprints: The Preliminary Re...

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21st IEEE international conference on sciences and Techniques of automatic control and Computer engineering, STA 2022

作者： Amrouni, Nadia Benzaoui, Amir Adjabi, Insaf University of Boumerdes Electrical Systems Engineering Department Algeria University of August 20 1955 Electrical Engineering Department Skikda21000 Algeria University of Bouira Computer Science Department Bouira10000 Algeria

ISBN: (纸本)9781665482615

Private and automatic recognition in many applications, such as forensic, access control, and surveillance systems, has become necessary in recent years. Biometrics, which treats individuals' identification based on physical or behavioral characteristics, has emerged as an effective automated identification technology, offering more properties and advantages than conventional protection. The use of palmprints in biometric authentication has dramatically increased and has been used extensively in management systems for businesses, Internet of Thinks, and individuals. In this field, the palmprint is considered a new modality, a unique entity that is stable over time and has a rich information structure. As part of this work, the local binary pattern descriptor (LBP) was used and tested under several configurations to extract the palmprint modality's optimal and efficient characteristics. As preliminary results, our experiments on the IITD Palmprint V1 database exhibit impressive performance. © 2022 IEEE.

关键词： Local binary pattern

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System Identification-informed Transparent and Explainable Machine Learning with Application to Power Consumption Forecasting

System Identification-informed Transparent and Explainable M...

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2023 international conference on electrical, Computer, Communications and Mechatronics engineering, ICECCME 2023

作者： Wei, Hua-Liang Dept. Automatic Control and Systems Engineering The University of Sheffield Sheffield United Kingdom Energy Institute The University of Sheffield Sheffield United Kingdom Centre of Machine Intelligence The University of Sheffield Sheffield United Kingdom Centre for Signal Processing and Cpmplex Systems The University of Sheffield Sheffield United Kingdom

ISBN: (纸本)9798350322972

System identification (SysID) is the art and science of dealing with dynamic data modelling problems from systems science perspectives. It has been an active field and is still very active today, due to its wide range of applications, especially its basic principles of finding transparent, interpretable and parsimonious models for different purposes. The past decades have witnessed the explosive growth in machine learning (ML) and its applications in all areas of science and engineering. Meanwhile, there has been an increasing demand for the development of transparent, explainable and/or interpretable ML models. This paper proposes a new framework for developing System Identification-informed Transparent and Explainable MAchine Learning (SITEMAL) models. A case study, involving a real power consumption dataset, is presented to demonstrate the application of the proposed modelling framework and its performance for power consumption forecasting. © 2023 IEEE.

关键词： Electric power utilization

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Industrial Network Protocol Security Enhancement Using Programmable Switches 14

Industrial Network Protocol Security Enhancement Using Progr...

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14th IEEE international conference on Communications, control, and computing Technologies for Smart Grids, SmartGridComm 2023

作者： Hu, Zheng Lin, Hui Waind, Luke Qu, Yanfeng Chen, Gong Jin, Dong University of Arkansas Computer Science and Computer Engineering FayettevilleAR United States The University of Rhode Island Electrical Computer and Biomedical Engineering KingstonRI United States Illinois Institute of Technology Computer Science ChicagoIL United States

ISBN: (纸本)9781665455541

There has been a growing concern regarding the security of industrial network protocols in Supervisory control and Data Acquisition (SCADA) systems. These protocols are vulnerable to a plethora of security threats, including man-in-the-middle attacks, denial-of-service attacks, malformed packets, and other forms of abuse that exploit the vulnerabilities in protocol specifications. One of the widely used protocols is the Distributed Network Protocol 3 (DNP3), making it a crucial target for security enhancement efforts. In this paper, we explore programmable networks for security enhancement of SCADA systems, in particular, P4 switches that can be programmed to perform specified operations at the data plane level. We identify security needs and gaps in existing cyberattacks on DNP3-based SCADA systems and then explore various techniques on the P4 switches, such as packet header and payload inspection, filtering, hashing, and encryption, to combat security threats specific to the DNP3 protocol. We demonstrate that using programmable switches to improve DNP3 security can effectively detect, mitigate, and prevent various forms of attacks with three case studies that are specific to DNP3-based SCADA systems, including Length Overflow Attack (malformed packet), Event Buffer Flooding Attack (denial-of-service), and Config Corrupt Attack (man-in-the-middle attack). © 2023 IEEE.

关键词： Network security

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Actor-Critic Learning of Variable Damping Injection for Quadrotor Attitude Robust control

Actor-Critic Learning of Variable Damping Injection for Quad...

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international conference on electrical engineering, computing science and automatic control (CCE)

作者： Alejandro Tevera-Ruiz Sergio E. Urzúa-Correa Vicente Parra-Vega Anand Sanchez-Orta Rodolfo Garcia-Rodriguez Robotics and Adv. Manufacturing CINVESTAV Saltillo Mexico Postgraduate Program in Aerospace Engineering Univ. Politécnica Metropolitana de Hidalgo Mexico

On the one hand, a class of model-free integral sliding modes requires damping injection to stabilize the closed-loop system to a certain bound, [1]. This technique has been extended to a variety of robots, including quadrotors. However, the damping matrix K value is difficult to calculate precisely. Henceforth, it is customary to overestimate it in practice, which is ritical for airborne robots, such as a lightweight quadrotor, which leads to a higher rate of dissipation with higher energy expenditure, which is highly inefficient. On the other hand, novel Reinforcement Learning (RL) schemes have also been developed for autotuning feedback gains, mainly using Actor-Critic (AC)-RL architectures. In this paper, we synergistically blend both schemes to learn the necessary K that enables the enforcement of integral sliding modes to control of the attitude of the quadrotors. Local robust exponential tracking is achieved without any pre-training of neural networks neither of adaptive parameters nor any knowledge of dynamics. A representative comparative simulation study is presented that shows the effectiveness of our scheme versus the fixed-gain case. The results show how critical it is K to complete the flight mission without wasting energy, then less battery consumption, an essential by-product of our formulation. As a future work, an experimental testbed is under development to test it in soft real-time, including its extension to position tracking.

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Dynamic Data Modeling and Analysis Based on Simulink Engine Throttle Digital control FPGA System 6

Dynamic Data Modeling and Analysis Based on Simulink Engine ...

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6th international conference on Intelligent computing and control Systems, ICICCS 2022

作者： Zhao, Changgan Oxbridge College Kunming University of Science and Technology School of Electrical and Information Engineering Kunming650106 China

ISBN: (纸本)9781665410359

This paper analyzes the non-linear factors in the electronic throttle, and derives the FPGA digital control FPGA system of the electronic throttle. A simulation model of the system was established in Matlab/Simulink according to the mathematical model;in order to explore the control effects of linear control algorithms and non-linear control algorithms on the electronic throttle, incremental PID control algorithms and variable structure sliding mode control algorithms were used to pair the sections. The valve is controlled. Set up the throttle model and controller model in Matlab/Simulink, and determine the structure and parameters of the controller through simulation. © 2022 IEEE.

关键词： Simulink

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Optimal automatic Generation control in Multi-Area Power Systems with Diverse Energy Sources

Optimal Automatic Generation Control in Multi-Area Power Sys...

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international conference on Energy, Material sciences and Mechanical engineering, EMSME 2020

作者： Kumar, Ashwini Singh, Omveer Department of Electrical Engineering School of Engineering Gautam Buddha University Uttar Pradesh Greater Noida201308 India

ISBN: (纸本)9789811614750

This research work for optimal automatic generation control (AGC) of two area and four area power systems with diverse energy sources tuned with area control error (ACE) and brief summary of gray wolf optimization technique (GWO) in comparisons with particle swarm optimization (PSO), and firefly optimization are shown. This system establish connection for power systems as extended as thermal, diesel, nuclear, and many more sources interconnected with hybrid resources like solar power, wind energy, hydro power, electric vehicles, micro-grid, and smart grid. The interconnection of different sources with two areas, multi area and tie-line control with several controlling algorithms and soft computing techniques discussed. Paper has a decent work for related work and provides the simulation result to fulfill its objective also prepare it for future exploration with AGC in HVDC-AC link. © 2022, The Author(s), under exclusive license to Springer Nature Singapore Pte Ltd.

关键词： Electric vehicles

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A remote 5G wireless control device for shearer 6

A remote 5G wireless control device for shearer

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6th international conference on Mechanical, Electric, and Industrial engineering, MEIE 2023

作者： Huo, Pengfei Liu, Hongjie Duan, Chao Wang, Xingxing Wang, Jing Gao, Bo Tian, Muqin Shanxi Keda Automatic Co. Ltd. Taiyuan030006 China Tongxin Coal Mine Shanxi Co. Ltd. Jinneng Holding Coal Industry Group Datong037000 China Shanxi Key Laboratory of Mining Electrical Equipment and Intelligent Control College of Electrical and Power Engineering Taiyuan University of Technology Taiyuan030024 China

In order to realize the intelligent mining mode of the shearer, this paper designs a remote 5G wireless control device to implement remote wireless control of the shearer. The device consists of two main components: upper computer system and receiving system. Among them, the upper computer system sends control commands through the 5G network and transmits them to the receiving system;The receiving system is used to receive signals from the upper computer, control the remote controller of the shearer to perform corresponding operations, and achieve the purpose of controlling the shearer. The remote wireless control device solves the problems of poor working environment and high safety risk of shearer workers in traditional control. At the same time, the introduction of 5G network, which has the characteristics of low delay and high reliability, has realized the purpose of remote wireless control of the shearer in the centralized control room. © Published under licence by IOP Publishing Ltd.

关键词： 5G mobile communication systems

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