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2024 International Conference on Materials and Energy: Energy in Electrical engineering, ICOME-EE 2024

作者： Sriprang, Songklod Nahid-Mobarakeh, Babak Takorabet, Noureddine Pierfederici, Serge Siangsanoh, Apinya Yodmanee, Kanapot Mungporn, Pongsiri Thounthong, Phatiphat Poonnoy, Nitchamon Bizon, Nicu Suyata, Thong-In Noosawang, Sakrit Université de Lorraine GREEN-ENSEM Laboratory 54505 France Rajamangala University of Technology Rattanakosin Wang Klai Kangwon Campus Petchkasem RD Prachuap Khiri Khan77110 Thailand Université de Lorraine LEMTA Laboratory 54505 France Thailand Thai-French Innovation Institute King Mongkut's University of Technology North Bangkok Bangkok10800 Thailand Faculty of Technical Education Dept. Teacher Training in Electrical Engineering Thailand University of Pitesti Faculty of Electronics Communication and Computers Pitesti110040 Romania University of Technology Faculty of Rajamangala Department of Electrical Engineering Thanyaburi 39 Moo 1 Rangsit-Nakhonnayok Road Pathum Thani 12110 Thailand King Mongkut's University of Technology Thonburi Faculty of Engineering Dept. of Control System and Instrumentation Engineering Bangkok10140 Thailand

ISBN: (纸本)9798331531577

This paper presents a high-performance nonlinear control strategy for a three-phase, two-level boost Power Factor Correction (PFC) rectifier. The proposed control method aims to achieve superior performance in terms of power factor correction, output voltage regulation, and dynamic response under various operating conditions. Utilizing advanced nonlinear control techniques, the system ensures optimal tracking of the reference signals, minimizing total harmonic distortion (THD) and improving overall efficiency. The effectiveness of the control strategy is validated through extensive simulations and experimental results, demonstrating significant improvements in the transient and steady-state performance of the rectifier. This approach provides a robust and efficient solution for PFC applications in modern power electronics systems. © 2024 IEEE.

关键词： Nonlinear control systems

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Sources of atmospheric glyoxal and methylglyoxal in Beijing and its impact on wintertime secondary organic aerosol formation

Sources of atmospheric glyoxal and methylglyoxal in Beijing ...

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第二十四届大气污染防治技术研讨会

作者： Xionghui Qiu Shuxiao Wang Qi Ying Lei Duan Jia Xing Jingyuan Cao Di Wu Xiaoxiao Li Chengzhi Xing Xiao Yan Cheng Liu Jiming Hao MOE Key Laboratory of Resources and Environmental System Optimization College of Environmental Science and Engineering North China Electric Power University State Key Joint Laboratory of Environmental Simulation and Pollution Control School of Environment Tsinghua University State Environmental Protection Key Laboratory of Sources and Control of Air Pollution Complex Zachry Department of Civil Engineering Texas A&M University College Station School of Earth and Space Sciences University of Science and Technology of China National Engineering Research Center of Urban Environmental Pollution Control Beijing Municipal Research Institute of Environmental Protection Department of Precision Machinery and Precision Instrumentation University of Science and Technology of China

Atmospheric glyoxal(GLY) and methylglyoxal(MGLY) are key precursors of secondary organic aerosol(SOA). However, anthropogenic emissions of GLY and MGLY and their contribution to surface GLY and MGLY concentrations, as well as the secondary organic aerosol(SOA) formation, are not well quantified. By developing an emission inventory of anthropogenic GLY and MGLY and improving Community Multiscale Air Quality Model(CMAQ) with SOA formation from irreversible surface uptake of GLY and MGLY, as well as a precursor-origin resolved technique, we quantified the source contributions of GLY and MGLY and their impact on wintertime SOA formation in Beijing, China. The total emissions of GLY and MGLY in Beijing in 2017 are 1.1×10～4 kmol and 7.0×10～3 kmol, respectively. Anthropogenic primary emissions are found to be the dominant contributor to GLY and MGLY concentrations(～74% for GLY and ～63% for MGLY). Anthropogenic primary emissions of GLY and MGLY contributes to 30% of GLY/MGLY SOA daily average concentration and accounts for up to 45% of nighttime GLY/MGLY SOA. The study suggests that the anthropogenic GLY and MGLY emissions, mainly from gasoline vehicles and cooking, are important for SOA formation and shall be strictly controlled in Chinese megacities.

关键词： SOA Sources of atmospheric glyoxal and methylglyoxal in Beijing and its impact on wintertime secondary organic aerosol formation

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Drowsy Driver Detection system For Poor Light Conditions

Drowsy Driver Detection System For Poor Light Conditions

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2023 IEEE International Conference on Mechatronics (ICM)

作者： Ahmed Ibnouf Ayman Fadlallah Muaiz Ali Abdelmalek Zidouri Control & Instrumentation Engineering Department King Fahd University of Petroleum and Minerals (KFUPM) Dhahran Saudi Arabia Information & Computer Science Department King Fahd University of Petroleum and Minerals (KFUPM) Dhahran Saudi Arabia Electrical Engineering Department King Fahd University of Petroleum and Minerals (KFUPM) Dhahran Saudi Arabia Electrical Engineering Department Interdisciplinary Research Center for Intelligent Secure System King Fahd University of Petroleum and Minerals (KFUPM) Dhahran Saudi Arabia

In recent years, the number of car accidents has been gradually increasing. A major factor in this increase is the drowsiness of drivers. There are many image recognition research studies on drowsiness detection but tend to neglect the case of low-light conditions. This paper focuses on detecting drowsy drivers in low-light conditions. In this paper, a behavioralbased drowsy driver detection system (DDDS) was proposed. The proposed DDDS applies a preprocessing algorithm that improves illumination and then focuses on detecting the driver’s face and eyes to calculate eye blink duration. A deep neural network model was used for facial recognition, and Haar Cascade classifiers were used for eyes detection. Every single eye was based to a Convolutional Neural Network (CNN) model to predict its state as either ‘‘Open’’ or ‘‘Closed’’. The proposed CNN was developed using a dataset of 1452 samples and gave an accuracy of 97.92% on the testing dataset, 15% of the 1452 samples. Different case scenarios in poor light conditions were implemented to evaluate the proposed DDDS. The system was able to identify the state of the driver even in harsh and severe poor light conditions.

关键词： Deep learning Face recognition Transportation industry Lighting Safety Convolutional neural networks Standards

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Quarry of modal information from environment for advanced motion control

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IEEJ Transactions on Industry Applications 2006年第4期126卷 372-378+1页

作者： Katsura, Seiichiro Ohnishi, Kouhei Department of Electrical Engineering Nagaoka University of Technology 1603-1 Kamitomiokamachi Nagaoka Niigata 940-2188 Japan Department of System Design Engineering Keio University 3-14-1 Hiyoshi Kohoku-ku Yokohama 223-8522 Japan Nagaoka University of Technology Nagaoka Niigata Japan IEEJ Japan IEEE Industrial Electronics Society Japan Society of Instrumentation and Control Engineers Japan Robotics Society of Japan Japan Keio University Yokohama Japan Nagaoka University of Technology Japan Keio University Japan

Motion control in open environment will be more and more important. The recent machines are required to have an ability to contact unknown environment. The environmental information is a key to be compliant to unknown environment. It is obtained from the modal decomposition. The environment may have infinite modes. On the contrary, motion control systems have finite number of degree-of-freedom (DOF) for their motion. It is necessary for motion controller to quarry information from the environment at least to the extents of DOF. This paper develops a novel viewpoint of motion control based on quarry of environmental information. A quarry process of information from the environment using Hadamard matrix has been proposed. An extension method of the Hadamard matrix is proposed and quarry matrix is generalized in this paper. This paper shows a quarry of the planar environmental modes using the third-order quarry matrix. The motion of a robot with three supporting points has three modes, which are heaving, rolling and pitching modes. As a result, compliant motion control to unknown environment is attained in each mode. The modal system design method based on the quarry matrix will be a fundamental technique of design of decentralized system.

关键词： Motion control

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Exclusion zone comparison between in free space and nuclear power plant environment

Exclusion zone comparison between in free space and nuclear ...

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International Symposium on Antennas and Propagation (ISAP)

作者： Sangwoon Youn Jong-Eon Park Jaeyul Choo Hosung Choo School of Electronic and Electrical Engineering Hongik University 94 Wausan-ro Mapo-gu Seoul Republic of Korea Metamaterial Electronic Device Research Center Hongik University 94 Wausan-ro Mapo-gu Seoul Republic of Korea Department of Instrumentation Control and Electrical System Korea Institute of Nuclear Safety 62 Gwahak-ro Yuseong-gu Daejeon Republic of Korea

ISBN: (纸本)9781538653890;9788957083048

We analyze exclusion zones (EZs) for indoor environments in nuclear power plants and compare them with the EZ in free space. When an indoor environment is considered, the lower transmitted power is recommended since multiple reflections increases stronger scattered power. The EZ area is the widest when the transmitter is at the center of the I&C room.

关键词： Transmitters Indoor environment Wireless communication Geometry Power generation Electromagnetics Safety

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Sensor offset compensation for a vehicle Yaw Rate Sensor Using fuzzy logic

Sensor offset compensation for a vehicle Yaw Rate Sensor Usi...

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2007 International Conference on control, Automation and systems (ICCAS 2007), vol.5

作者： Dae-woo Kim Youngho Park Hyeongcheol Lee Department of Electric Engineering Hanyang University Seoul South Korea Electronic Brake System Engineering Team Hyundai Mobis Yongin si Gyeonggi South Korea Division of Electrical Control and Instrumentation Biomedical Engineering Hanyang University Seoul South Korea

This paper presents a new offset compensation method by modifying the previous two mode transition map method. Different from the previous method using the mode transition map, the proposed method employs Fuzzy logic to smoothly change modes. This proposed method is verified through the computer simulations using Simulink based dynamic model.

关键词： Vehicle yaw rate sensor Offset compensation Fuzzy

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Finite-time model-assisted active disturbance rejection control with a novel parameters optimizer for hypersonic reentry vehicle subject to multiple disturbances

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Aerospace Science and Technology 2018年 79卷 588-600页

作者： Yue Yu Honglun Wang Na Li Huiping Zhang Zikang Su Xingling Shao School of Automation Science and Electrical Engineering Beihang University Beijing 100191 China Science and Technology on Aircraft Control Laboratory Beihang University Beijing 100191 China Unmanned System Research Institute Beihang University Beijing 100191 China School of Automation Beijing Institute of Technology Beijing 100081 China Beijing Aerospace Automatic Control Institute Beijing 100854 China Key Laboratory of Instrumentation Science & Dynamic Measurement Ministry of Education North University of China Taiyuan 030051 China National Key Laboratory for Electronic Measurement Technology School of Instrument and Electronics North University of China Taiyuan 030051 China

In this paper, a scheme which combines finite-time model-assisted active disturbance rejection control and novel greedy criterion-based salp swarm algorithm is developed for attitude tracking problem of hypersonic reentry vehicle with multiple disturbances. To simplify control structure, the control scheme is designed within the framework of active disturbance rejection control completely. To lessen tuning parameters, a sigmoid function-based tracking differentiator is employed to generate a more realizable attitude transient profile instead of utilizing conventional nonlinear tracking differentiator. Taking known model information as model-assisted term, finite-time model-assisted extended state observers are constructed to estimate the lumped disturbance in attitude and angular rate loop with employment of function fal . To achieve rapid response and strong robustness, finite-time model-assisted control laws are derived by utilizing function fhan . Finally, a novel greedy criterion-based salp swarm algorithm is used to optimize control parameters in finite-time model-assisted control laws to achieve optimal solution that minimizes the tracking error and energy consumption. Comparative simulations are conducted to illustrate the effectiveness of the proposed scheme.

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Biosignal-Based Attention Monitoring for Evaluating Train Driver Safety-Relevant Tasks

SSRN

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SSRN 2024年

作者： Kim, Jung Hwan Kim, Yeongjun Cho, Younggeol Kim, Tae Kyun Jang, Tongil Park, Chanwoo Kang, Seongkeun Advanced Instrumentation & Control Research Section Korea Atomic Energy Research Institute Daejeon Korea Republic of Department of Nuclear & Quantum Engineering Korea Advanced Institute of Science and Technology Daejeon Korea Republic of School of Computing Korea Advanced Institute of Science and Technology Daejeon Korea Republic of Department of Railroad Electrical & Electronic Engineering Korea National University of Transportation Uiwang Korea Republic of System Safety Research Department Korea Railroad Research Institute Uiwang Korea Republic of

This study explores the impact of phone usage on train driver performance, a critical aspect influencing the safety of railroad operations. The persistent problem of phone distractions, which severely impair situational awareness and contribute to accidents, necessitates innovative solutions to enhance operational safety. Leveraging advancements in technology, this study introduces a novel approach combining electroencephalogram (EEG)-based analysis with deep learning algorithms to assess the effects of phone usage on the attention states of train drivers. Utilizing a full-type train simulator to replicate real-life scenarios, this study conducts an experimental design involving scenarios with and without phone engagement, aiming to provide a comprehensive assessment of phone usage on performance in critical situations. The deep learning model employed achieved an impressive classification accuracy of approximately 85.6% in distinguishing attention states among 25 participants, with high precision and recall values indicating its efficacy in detecting phone interaction. Moreover, findings reveal that phone usage leads to a 1.4 times increase in response time to situational awareness, significantly affecting driver performance. These findings highlight the significant impact of phone usage on train driver attention and underscore the potential of EEG-based analysis and deep learning in improving railroad safety measures. This study contributes to the growing body of safety literature by focusing on train drivers, offering fresh insights and practical implications for enhancing the safety and efficiency of railroad operations. © 2024, The Authors. All rights reserved.

关键词： Railroads

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Force control by flexible manipulator based on resonance ratio control using position sensitive detector

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IEEJ Transactions on Industry Applications 2006年第6期126卷 693-699+1页

作者： Katsura, Seiichiro Ohnishi, Kouhei Department of Electrical Engineering Nagaoka University of Technology 1603-1 Kamitomiokamachi Nagaoka 940-2188 Japan Department of System Design Engineering Keio University 3-14-1 Hiyoshi Kohoku-ku Yokohama 223-8522 Japan Nagaoka University of Technology Japan Keio University Japan Nagaoka University of Technology Nagaoka Niigata Japan IEEJ Japan IEEE Industrial Electronics Society Japan Society of Instrumentation and Control Engineers Japan Robotics Society of Japan Japan Keio University Yokohama Japan IEEE Japan

This paper presents a novel force controller to suppress torsional vibration of two-mass resonant system. The resonance ratio control is one of the effective control methods of two-mass resonant system. In this method, the ratio between the resonant frequency of motor and arm is determined arbitrary according to the feedback of estimated reaction torque. The reaction torque is estimated by using position sensitive detector (PSD). Since the estimation method does not need the parameter identification, the torsion information is obtained with accuracy. To attain the affinity and adaptability to environment, motion systems should control the reaction force from the environment. In the force control system, the force response is regarded as a disturbance of the arm portion. The arm disturbance is observed by the arm disturbance observer. The proposed force control system is based on both the conventional PD control and the resonance ratio control and the determination method of pole placement is discussed. The proposed force control system can realize both the suppression of the inner torsional reaction torque and the adaptation to outer force inputs. The numerical and experimental results show viability of the proposed method.

关键词： Flexible manipulators

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Performance Evaluation for Cooperative ADF Relaying V2I Communications with Burst transmission and PSA-CE schemes Over Quasi-Static Rayleigh Fading channels

Performance Evaluation for Cooperative ADF Relaying V2I Comm...

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17th International IEEE Conference on Intelligent Transportation systems & The Asia-Pacific Council on systems engineering Conference 2014

作者： Gilwon Seo Min Baek Chungha Bong Kyunbyoung Ko the ConvergenceInformation Technology Research Center for Next-Generation Intelligent Transport System (C-ITRC for NGITS) the Communication and Signal Processing Lab.(CSPL)the Department of IT ConvergenceKorea National University of Transportation50 Daehak-roChungju-siChungbuk380-702 Korea the Department of Control and Instrumentation Engineering Korea National University of Transportation50 Daehak-roChungju-siChungbuk380-702 Korea

In this paper,we propose the analytical approach for adaptive decode-and-forward(ADF) relaying vehicle-toinfrastructure(V2I) schemes consisting of ND-symbol burst data transmission based on pilot symbol assisted-channel estimation(PSA-CE) methods over quasi-static Rayleigh fading *** first,we focus on the error-event at relaying on board equipments(OBEs) for ND-symbol burst data transmission,whereas previous researches considered one data symbol transmission so that they showed the best performance *** considering ND-symbol burst for ADF relaying schemes,we derive an exact bit error rate(BER) expression which can be the performance of practical ***,the practical channel estimation(CE) process is considered by pilot symbols ***,we investigate the effects of both a CE error and an estimated noise variance,which can be obtained by pilot symbol assisted(PSA)-CE methods,on the received signal-to-noise ratio(SNR) and ***,the average BER is derived in approximated closed-form expression for an arbitrary link *** derived analytical approach is verified based on the number of relaying OBEs,pilots,and data *** accuracy is confirmed by comparison with simulation results.

关键词： SNR Performance Evaluation for Cooperative ADF Relaying V2I Communications with Burst transmission and PSA-CE schemes Over Quasi-Static Rayleigh Fading channels Rayleigh ADF

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