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2022 Chinese Automation Congress, CAC 2022

作者： Li, Zhanjie Ma, Yajing Nanjing University of Posts and Telecommunications Institute of Advanced Technology for Carbon Neutrality Nanjing China Sichuan Xihua University Provincial Engineering Research Center for New Energy Vehicle Intelligent Control and Simulation Test Technology Chengdu China School of Internet of Things Jiangsu Key Laboratory of Broadband Wireless Communication and Internet of Things Nanjing University of Posts and Telecommunications Nanjing China

ISBN: (纸本)9781665465335

In this paper, the consensus control against attacks for a type of nonlinear multi-agent switched systems under arbitrary switching is studied. The attacks corrupt the information data, which cannot be used for the feedback design. Meanwhile, the switching logic is not allowed to be designed. To tackle the complicated effects, some intermediate variables and adaptive laws are introduced to compensate the uncertainties. By constructing a common Lyapunov function, an adaptive protocol is proposed such that the outputs of the agents achieve consensus against attacks under arbitrary switching. © 2022 IEEE.

关键词： Multi agent systems

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Femtosecond Laser-Inscribed Polarization-Maintaining Fiber Bragg Grating Using Line-by-Line Technique for Generating Wavelength-Switchable Erbium-Doped Fiber Lasers

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SSRN 2023年

作者： He, Wei Hu, Jun Liu, Haochong Ma, Siqi Zhu, Lianqing Key Laboratory of the Ministry of Education for Optoelectronic Measurement Technology and Instrument Beijing Information Science and Technology University Beijing100192 China Beijing Laboratory of Optical Fiber Sensing and Systems Beijing Information Science and Technology University Beijing100192 China Beijing Institute of Control Engineering Beijing100190 China

In this study, a polarization-maintaining fiber Bragg grating (PM-FBG) was inscribed by a femtosecond laser using a line-by-line method and used as a wavelength selector for a wavelength-switchable erbium-doped fiber laser (EDFL). The PM-FBG period was 1.075 μm, and the grating length was 3200 μm. For the proposed EDFL, the lasing threshold was 64 mW, and switchable lasing emissions with stable single and dual wavelengths were realized by adjusting a polarization controller. For the experiments, different single-wavelength switchable lasers with scope values of 1563.34–1564.02 nm were generated, six dual-wavelength lasers were obtained, and a triple-wavelength laser output was realized. The power fluctuations of the single- and dual-wavelength lasers were lower than 0.331 and 0.682 dB, respectively, over a 25 min monitoring time. © 2023, The Authors. All rights reserved.

关键词： Femtosecond lasers

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Weak Signal Detection based on Beta Divergence

Weak Signal Detection based on Beta Divergence

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IEEE Workshop on Signal Processing Advances in Wireless communications (SPAWC)

作者： Jiahao Liu Haoxuan Liu Wenqiang Pu Rui Zhou Ming-Yi You Qingjiang Shi Science and Technology on Communication Information Security Control Laboratory Jiaxing China Shenzhen Research Institute of Big Data The Chinese University of Hong Kong Shenzhen China School of Software Engineering Tongji University Shanghai China

Among different electromagnetic spectrum monitoring tasks, a fundamental one is detecting the presence of weak communication signal under non-cooperative setting. Various detection methods have been studied in the literature. These detection methods usually construct a proper hypothesis testing metric to distinguish the signal-plus-noise and noise-only signals. Information entropy based metric has recently been studied and shown its superiority over traditional energy based metrics. We find that it can be explained as a realization of the general Kullback-Leibler divergence. Inspired by that, in this paper, we propose to detect the signal using a statistic divergence called β-divergence. Different choices of β will lead to several well known divergences, e.g., Itakura-Saito divergence and Euclidean distance. We study its detection performance for non-cooperative signal sources. Both simulation and real experiments demonstrate that β-divergence can improve detection performance for various modulation types of communication signals.

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P2P transaction method for distributed energy prosumers based on reputation value

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Global Energy Interconnection 2023年第3期6卷 308-323页

作者： Tao Jiang Ting Hua Hao Xiao Linbo Fu Wei Pei Tengfei Ma Key Laboratory of Modern Power System Simulation and Control&Renewable Energy Technology Ministry of Education(Northeast Electric Power University)Jilin 132012P.R.China Institute of Electrical Engineering Chinese Academy of Sciences Beijing 100190P.R.China School of Electronic Electrical and Communication Engineering(EECE)University of Chinese Academy of SciencesBeijing 100049P.R.China

Adding a reputation incentive system to peer-to-peer(P2P)energy transactions can encourage prosumers to regulate their trading behavior,which is important for ensuring the efficiency and reliability of P2P *** study proposed a P2P transaction mechanism and game optimization model for prosumers involved in distributed energy sources considering reputation-value ***,the deviation of P2P transactions and the non-consumption rate of distributed renewable energy in P2P transactions were established as indicators to quantify the influencing factors of the reputation value,and a reputation incentive model of P2P transactions for prosumers was ***,the penalty coefficient was applied to the cost function of the prosumers,and a non-cooperative game model of P2P transactions based on the complete information of multi-prosumers was ***,the Nash equilibrium problem was transformed into a nonlinear optimization problem by constructing the modified optimal reaction function,and the Nash equilibrium solution of the game was obtained via a relaxation ***,the modified IEEE 33-node test system based on electricity market P2P and an IEEE 123-node test system were used to analyze and verify the cost and P2P participation of prosumers considering the reputation *** results show that the addition of the reputation incentive system can encourage prosumers to standardize their interactive transaction behavior and actively participate in P2P *** can also improve the operation efficiency of the power grid and promote the perfection of the P2P transaction mechanism.

关键词： P2P Prosumer Non-cooperative game Reputation value Multi-agent of interest Operation optimization

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An IoT Based Safe Assembly Point Alert System 1

An IoT Based Safe Assembly Point Alert System

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1st International Conference on Advances in Computational Science and engineering, ICACSE 2020

作者： Mangayarkarasi, T. Umapathy, K. Sivagami, A. Subitha, D. Department of Instrumentation and Control Engineering Sri Sairam Engineering College Tamil Nadu Chennai India Tamil Nadu Kanchipuram India Department of Electronics and Communication Engineering Saveetha School of Engineering Saveetha Institute of Medical and Technical Sciences Tamil Nadu Chennai Thandalam India Department of Electronics and Communication Engineering Vel Tech Rangarajan Dr.Sagunthala RandD Institute of Science and Technology Tamil Nadu Chennai India

A large population depends on many industries for its livelihood like electrical, embedded, software product sectors. An IoT environment includes feedback phones that use smart devices, such as MCU (microcontroller unit), sensors and different sensors, collect, distribute, and act on messages they collect from their environment. IoT systems share the sensory data they receive when data has been either sent to the cloud for global applications or analysis by linking to an IoT gateway or other edge device. For the electrical maintenance occur in the industries will need a specific alert signal. The loss of manufacturing workers/workers may be controlled by a specific, minor accident. Therefore, it is essential to provide an emergency device able to detect the non-safety state of coal and produce an alarm to reduce the possibility of risks in the system. We are proposing an IoT-based alert system via mobile phones, as smartphones' general usage is very common in the industries rather than using a walkie-talkie. © Published under licence by IOP Publishing Ltd.

关键词： Internet of things

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Logging-while-drilling formation dip interpretation based on long short-term memory

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Petroleum Exploration and Development 2021年第4期48卷 978-986页

作者： SUN Qifeng LI Na DUAN Youxiang LI Hongqiang TANG Haiquan College of Computer Science and Technology in China University of Petroleum Qingdao 266580China Drilling Technology Research Institute of Shengli Petroleum Engineering Corporation Limited SinopecDongying 257000China Measurement and Control Technology Research Institute of Shengli Petroleum Engineering Corporation Limited.Dongying 257000 China

Azimuth gamma logging while drilling(LWD)is one of the important technologies of geosteering but the information of real-time data transmission is limited and the interpretation is *** study proposes a method of applying artificial intelligence in the LWD data interpretation to enhance the accuracy and efficiency of real-time data *** examining formation response characteristics of azimuth gamma ray(GR)curve,the preliminary formation change position is detected based on wavelet transform modulus maxima(WTMM)method,then the dynamic threshold is determined,and a set of contour points describing the formation boundary is *** classification recognition model based on the long short-term memory(LSTM)is designed to judge the true or false of stratum information described by the contour point set to enhance the accuracy of formation ***,relative dip angle is calculated by nonlinear least square *** of azimuth gamma data and application of real-time data processing while drilling show that the method proposed can effectively and accurately determine the formation changes,improve the accuracy of formation dip interpretation,and meet the needs of real-time LWD geosteering.

关键词： logging while drilling azimuth gamma stratigraphic identification artificial intelligence long short-term memory wavelet transform

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Bayesian Framework for Multi-User Cooperative Radio SLAM

Bayesian Framework for Multi-User Cooperative Radio SLAM

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IEEE International Symposium on Personal, Indoor and Mobile Radio communications (PIMRC)

作者： Hang Que Jie Yang Tao Du Shuqiang Xia Chao-Kai Wen Shi Jin National Mobile Communications Research Laboratory Southeast University Nanjing China Frontiers Science Center for Mobile Information Communication and Security Southeast University Nanjing China Key Laboratory of Measurement and Control of Complex Systems of Engineering Ministry of Education Southeast University Nanjing China ZTE Corporation Shenzhen China State Key Laboratory of Mobile Network and Mobile Multimedia Technology Shenzhen China Institute of Communications Engineering National Sun Yat-sen University Kaohsiung Taiwan

ISBN: (数字)9798350362244

ISBN: (纸本)9798350362251

The advancement of millimeter-wave communication technology heralds new sensing capabilities. By leveraging channel multipath parameter estimates, we can harness simultaneous localization and mapping (SLAM) for precise user equipment (UE) localization and radio map construction in 6 G communication systems. Particularly in multi-UE scenarios, SLAM empowers base stations to amalgamate the local radio maps of various UEs efficiently. This study introduces a novel Bayesian framework specifically designed for multi-UE SLAM, complemented by a tailored factor graph. We also unveil a two-stage multi-UE SLAM algorithm. Our simulation results reveal that this algorithm substantially enhances radio map construction accuracy by $\mathbf{4 8. 5 \%}$ and UE localization accuracy by $13.5 \%$, outperforming single-UE cases. Moreover, the algorithm demonstrates remarkable adaptability to environmental changes, showcasing its potential for long-term evolution in dynamic settings.

关键词： Location awareness Simultaneous localization and mapping Accuracy communication systems Heuristic algorithms Simulation Bayes methods Sensors Millimeter wave communication Land mobile radio

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A Method for Recognition of Mixed Gas Composition Based on PCA and KNN 19

A Method for Recognition of Mixed Gas Composition Based on P...

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19th International Conference on Optical communications and Networks, ICOCN 2021

作者： Xia, Wanyu Song, Tingting Yan, Zhanwei Song, Kai Chen, Deyun Chen, Yinsheng National Experimental Teaching Demonstration Center for Measurement and Control Technology and Instrumentation Harbin University of Science and Technology Harbin150080 China Postdoctoral Research Station of Computer Science and Technology Harbin University of Science and Technology Harbin150080 China School of Electrical Engineering and Automation Harbin Institute of Technology Harbin150080 China

ISBN: (纸本)9781665424462

In the mining process of coal, oil, and natural gas, there are often a large number of toxic, hazardous and explosive gases, which pose a greater safety hazard. These gases usually exist in the form of mixtures. Accurately identifying the composition of the mixed gas is of great significance to the prevention of safety accidents. In order to improve the accuracy of the component recognition of the mixed gas, this paper proposes a mixed gas component recognition algorithm based on the combination of principal component analysis (PCA) and k-nearest neighbor algorithm (KNN). PCA is used to extract the characteristics of the sensor array signal to obtain the characteristic value of the gas, and then KNN is used to realize the recognition of the gas type. The results show that the recognition rate of the feature quantity after dimensionality reduction as input is higher than that before dimensionality reduction. Finally, PCA and KNN algorithm and PCA and support vector machine (SVM) algorithm are compared for the recognition rate of mixed gas. Experimental results show that the proposed method has a recognition rate of 96.88% for mixed gas components. © 2021 IEEE.

关键词： Support vector machines

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A Gas Recognition Method Based on PCA and PSO-LSSVM 19

A Gas Recognition Method Based on PCA and PSO-LSSVM

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19th International Conference on Optical communications and Networks, ICOCN 2021

作者： Song, Tingting Xia, Wanyu Yan, Zhanwei Song, Kai Chen, Deyun Chen, Yinsheng National Experimental Teaching Demonstration Center for Measurement and Control Technology and Instrumentation Harbin University of Science and Technology Harbin150080 China Postdoctoral Research Station of Computer Science and Technology Harbin University of Science and Technology Harbin150080 China School of Electrical Engineering and Automation Harbin Institute of Technology Harbin150080 China

ISBN: (纸本)9781665424462

Gases in the real environment always exist in the form of mixtures, and effective identification of gas types to reduce the occurrence of safety incidents has become an important direction in the field of gas analysis research. This paper proposes a mixed gas identification method based on PCA and PSO-LSSVM. This method uses principal component analysis (PCA) to reduce the dimensionality of the sensor array output signal, and uses the Relief algorithm to select data. The particle swarm algorithm is used to iteratively optimize the relevant parameters in the least squares support vector machine model, and the PSO-LSSVM model is constructed to qualitatively analyze the composition of the mixed gas. This article uses a public data set of mixed gases of ethylene, methane and carbon monoxide to conduct experiments. The experimental results show that the method used in this paper can effectively identify the type of mixed gas, and the recognition accuracy rate reaches 91.67%. The method proposed in this paper can provide a research foundation for the follow-up analysis of the mixed gas concentration. © 2021 IEEE.

关键词： Particle swarm optimization (PSO)

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Android Application and SMS Alert Based Garbage Monitoring and Navigation System 1

Android Application and SMS Alert Based Garbage Monitoring a...

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1st International Conference on Advances in Computational Science and engineering, ICACSE 2020

作者： Umapathy, K. Mangayarkarasi, T. Subitha, D. Sivagami, A. Tamil Nadu Kanchipuram India Department of Instrumentation and Control Engineering Sri Sairam Engineering College Tamil Nadu Chennai India Department of Electronics and Communication Engineering Vel Tech Rangarajan Dr.Sagunthala RandD Institute of Science and Technology Tamil Nadu Chennai India Department of Electronics and Communication Engineering Saveetha School of Engineering Saveetha Institute of Medical and Technical Sciences Thandalam Tamil Nadu Chennai India

The treatment of waste is unsafe in city centres where residents are more involved, leading to germs that can lead to disease. How commonly these litter containers are used in different regions is different. Regular timing checks are not helpful. Often, they will overflow much faster than expected. In this article, a smart waste monitoring method is advised to prevent this and increase cleaning, to figure out where the waste is *** architecture of the method collects and transmits information through a wireless network. Under this technique, the dustbin's waste level is measured by sensors and information is transmitted through the GSM and GPS module to the official mobile station. Wi-Fi Module is used to track waste levels online at the control room. Arduino Processor uses network modules to link sensor systems. © Published under licence by IOP Publishing Ltd.

关键词： Android (operating system)

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