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A Study on Stabilization of Code Frequency Control Between Wayside and Onboard Signal system of AF Non-insulated Track Circuit

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Transactions of the Korean Institute of Electrical Engineers 2023年第10期72卷 1250-1255页

作者： Park, Dong-Hoon Han, Ho-Hyun Kim, Seon-Kyo Kang, Jeong-Won Dept. of Transportation System Engineering Korea National University of Transportation Korea Republic of Dept. of SMART Railway System Korea National University of Transportation Korea Republic of

While the train is starting and running, a specific code frequency is transmitted to control the operating speed of the corresponding section. After arriving at the station, the code frequency for controlling the door opening in the direction of getting on and off is changed and transmitted to the onboard signal system on the wayside. During the process of switching from the speed control frequency to the access control frequency, passenger safety accidents often occur due to the malfunction, resulting in the opening of the doors on the opposite side. In this paper, the causes of frequency instability during the process of switching door opening direction control frequency from the operating speed frequency were analyzed, and an alternative was proposed. First, the carrier frequency form of the rate code control method is analyzed. Second, the principle of transmitting frequency information from the wayside signal system to the onboard signal system is confirmed, and the process of switching from train operation speed control to door open control is analyzed. Third, research on improving the reliability of the speed code track circuit system is conducted by analyzing the possibility of malfunction of train door direction control such as resonant circuit characteristic changes, frequency strength, frequency noise, and appropriate processing time for onboard signal system frequency. Copyright © The Korean Institute of Electrical Engineers.

关键词： Timing circuits

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Interactive robot-robot Reinforcement Learning for Object Balancing Task

Interactive Robot-Robot Reinforcement Learning for Object Ba...

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2024 IEEE International Conference on Consumer Electronics, ICCE 2024

作者： Kim, Yewon Jeon, Haein Kang, Bo-Yeong Kyungpook National University Dept. of Artificial Intelligence Daegu41566 Korea Republic of Kyungpook National University Dept. of Robot and Smart System Engineering Daegu41566 Korea Republic of

ISBN: (纸本)9798350324136

robots with machine learning are expanding their application fields, such as serving robots and guiding robots, but applying machine learning to robots has a high labor cost due to human intervention. This paper proposes interactive robot-robot reinforcement learning technology to minimize human intervention in learning tasks that successfully balance objects between two robots. In this proposed technique, the teacher and student robot guide and learn object balancing based on reinforcement learning. Teacher robot teaches knowledge that has not been learned in advance to student robot, and teaches more effectively by providing various positive and negative text feedback on the training results. In virtual simulations, the training results of the student robot converge to the optimal policy as an evaluation result of the proposed method, and the trained student robot performs appropriate actions according to various table states by the teacher's random action. Through our experimental results, the application possibility of robot-robot learning is verified being as good as human-robot learning. Our proposed method could be utilized to seamlessly transfer the learned knowledge when it is challenging to apply the learning model to a heterogeneous robot or an agent in an IoT environment. © 2024 IEEE.

关键词： cooperative robot interactive reinforcement learning reinforcement learning robot-robot learning

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A Study on Integrated Operation of VHF and Complex Communication Facilities for Railway

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Transactions of the Korean Institute of Electrical Engineers 2023年第10期72卷 1256-1260页

作者： Kim, Seon-Kyo Park, Dong-Hoon Han, Ho-Hyun Kang, Jeong-Won Dept. of Transportation System Engineering Korea National University of Transportation Korea Republic of Dept. of SMART Railway System Korea National University of Transportation Korea Republic of

The need of improve the unified wireless communication command system has been raised to support cooperative work for the disaster control towel in case of the national event. In addition, the VHF (Very High Frequency) and TRS (Trucked Radio system) systems is no longer used after 2029 due to changes of government policy. Thus, the LTE-based LTE-R systems are being built in to replace the VHF and TRS in railway sector. The policy changes caused the mixture use of the VHF and LTE-R which is inefficient for the operators in railway communication system the tunnels and underground sections. Especially the mixture use system also potential threat to safety of train operation in disaster and emergency rescue. This study is about an alternative method for mixture use of the VHF and LTE-R to unified railway communication system using a leaky coaxial cable with a similar frequency band and coupling device for complicated communication facilities. Through the study, it might contribute to railway operators to improve in efficiency and safety especially in tunnels and underground sections using the VHF and LTE-R together, without loss of communication among the OCC, train crew, and maintenance worker. © 2023 Korean Institute of Electrical Engineers. All rights reserved.

关键词： Railroads

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Development of a smart agricultural monitoring system 33

Development of a smart agricultural monitoring System

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33rd Southern African Universities Power engineering Conference, SAUPEC 2025

作者： Mavimbela, Mmatshwene Mogorosi, Alex Yokwana, Xolani Sumbwanyambe, Mbuyu University of South Africa Dept. of Electrical and Smart System Engineering Johannesburg South Africa

ISBN: (纸本)9798331535162

In agriculture, vegetable farming is the most dominating type of farming as it contributes 2.45% to the African GDP growth. It is central to fostering growth reducing poverty and improving food security in south Africa. With more than 70% of rural population depending on agriculture for their livelihoods. However, farmers are facing ongoing challenges over monitoring of farm produce that requires extensive physical interaction within the farm activities. Another challenge, theft and killing cases are increasing in the farming sector due to poor security system involved. The current study proposes the use of GSM sim800 module to communicate with the user. Inconsistent power supply and high energy has greatly affected the agricultural sector. In this paper a cheaper prototype that uses an Arduino microcontroller to control and monitor irrigation by eliminating water waste, and provide maximum security is proposed, it is remotely controlled. © 2025 IEEE.

关键词： smart agriculture

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FDS Fire Modeling and Grid Sensitivity Analysis for Electrical Cable Fires in Open Conditions

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Transactions of the Korean Institute of Electrical Engineers 2025年第2期74卷 345-352页

作者： Kang, Hyun-Min Lee, Jaiho Moon, Young-Seob Lee, Ho-Young Division of Smart Convergence Engineering Changshin University Korea Republic of Dept. of Reactor System Korea Institute of Nuclear Safety Korea Republic of Dept. of Research and Development Planning Korea Institute of Nuclear Safety Korea Republic of

In this study, numerical analysis of pyrolysis fire modeling using a FDS(fire dynamics simulator) was performed to evaluate the fire stability of electrical cable fires in nuclear power plants. For this purpose, a standardised fire modelling procedure applicable to electrical cable fires was developed, and fire modelling was performed for two and five cable tray conditions in an open space using FDS according to the proposed fire modeling procedure. A grid sensitivity analysis was performed to analyse the effect of grid size on the simulation results and to select the optimal grid size for use in pyrolysis fire modeling. The quantitative comparative analysis of fire simulation results was conducted by applying the analytical blind method to assess the thickness of the cable, heat release rate, and fire duration, along with the primary input parameters of the pyrolysis model, including the reference temperature for pyrolysis, heating rate, and pyrolysis range. Copyright © The Korean Institute of Electrical Engineers.

关键词： Nuclear power plants

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A Study on the Characteristic Analysis for Resonance Harmonic Order in AC Railway systems to Harmonic Resonance

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Transactions of the Korean Institute of Electrical Engineers 2024年第12期73卷 2407-2413页

作者： Lee, Hansang Kim, Dohyuk Kim, Hyungchul Smart Electrical & Signaling Division Electrification System Research Department Korea Railroad Research Institute Uiwang Korea Republic of Dept. of Electrical & Electronic Engineering Semyung University Korea Republic of Dept. of Electrical Engineering Yeonsung University Korea Republic of

As the integration of active equipment based on power electronics technology is expected to form an eco-friendly railway system, it is necessary to review the durability of the AC railway system against harmonic currents injected from converters. Recently, a dissipation of lightning arrester had been occurred due to overvoltage caused by harmonic resonance during the operation of railway vehicles, therefore the need for system analysis to avoid resonance has increased. This paper defined the length of the catenary system and the capacity of the Scott transformer as factors affecting the resonance harmonic order and magnitude of impedance in AC railway systems, and analyzed their effects. In addition, the change in the resonance harmonic order and the magnitude of impedance whether RC bank is applied or not was analyzed. Copyright © The Korean Institute of Electrical Engineers.

关键词： Lightning arresters

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A study on the functional design to improve torque transmission of soft actuators in soft wearable suit

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Journal of Institute of Control, robotics and systems 2021年第3期27卷 271-276页

作者： Lee, Jong-Il Koo, Jaewan Park, Min-Ro Hahm, Jehun Sohn, Dong-Seop Seo, Kap-Ho Korea Republic of Korea Republic of Dept. of Robot and Smart System Engineering Kyungpook National University Korea Republic of

This paper proposes a functional design to improve the torque transmission of a wearable suit for walking assistance. The proposed functional design includes a soft actuator, lower-limb support module, and their fastening method. First, the features and functions of the soft actuator and lower-limb support module are described. In addition, according to the elasticity of the fixed band and the relative positions of the fixed band, soft actuator, and lower-limb support module, a fastening method to maximize the torque transmission performance was determined experimentally. Thus, an optimal fastening method was derived, and the functional design of a soft wearable suit applying this method was developed. © ICROS 2021.

关键词： Actuators

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Data-Driven Performance Modeling of Solar Panels Using Polynomial Regression

Data-Driven Performance Modeling of Solar Panels Using Polyn...

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2024 International Conference on Control, Automation and Diagnosis, ICCAD 2024

作者： Jafari, Fereshteh Moradi, Kamran Shafiee, Qobad Moghaddam, Fariba University of Kurdistan Smart/Micro Grids Research Center Dept. of Electrical Engineering Sanandaj Iran University of Applied Sciences Western Switzerland Institute of System Engineering Sion Switzerland

ISBN: (纸本)9798350361025

Photovoltaic (PV) systems are integral to renewable energy, demanding accurate performance modeling for optimal functionality. This paper presents a pragmatic, data-driven approach employing Polynomial Regression (PR) for solar panel modeling to boost accuracy and adaptability to environmental variables. By emphasizing the advantages of data-driven models in attaining predictive precision, this study aims to reconcile theoretical concepts with practical solar panel performance. PR is employed as a black-box machine learning (ML) algorithm to transcend the limitations of traditional modeling methods, revealing ML's ability to grasp intricate relationships and ensure precise predictions. Utilizing real and simulated datasets encompassing solar irradiance, ambient temperature, and applied load through hardware in the loop (HIL), the model is trained to forecast the electrical outputs of solar panels in two approaches to estimate output voltage and current as well as key points on the panels' I-V curve. Assessment of model accuracy using Root Mean Square Error (RMSE) showcases the PR model's capacity to accurately depict solar panel performance by capturing non-linear relationships between environmental variable conditions and electrical outputs. Experimentation validates the method's effectiveness, focusing on accuracy, generalization to testing, and on-site data validation in two approaches. This research endeavors to bridge the gap between theory and practice, propelling advancements in the field of solar PV systems and facilitating more efficient solar energy utilization. © 2024 IEEE.

关键词： Solar panels

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Data-Driven Modeling of Photovoltaic Panels Using Neural Networks 26

Data-Driven Modeling of Photovoltaic Panels Using Neural Net...

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26th International Symposium on Symbolic and Numeric Algorithms for Scientific Computing, SYNASC 2024

作者： Jafari, Fereshteh Moradi, Kamran Moghaddam, Fariba Shafiee, Qobad Institute of System Engineering University of Applied Sciences Western Switzerland Sion Switzerland University of Kurdistan Smart/Micro Grids Research Center Dept. of Electrical Engineering Sanandaj Iran

ISBN: (纸本)9798331532833

Photovoltaic (PV) systems are essential for the shift towards sustainable energy. Accurate performance modeling of these systems is vital for optimizing their efficiency and adapting to changing environmental conditions. Traditional analytical models often struggle with real-world complexities. This paper uses a neural networks (NNs) method to model PV system performance, offering superior accuracy and adaptability. By leveraging NNs, the model adopts a black-box methodology, bypassing the need for detailed knowledge of PV system complexities. The study utilizes historical performance data from two panels located in Sion, Switzerland, and Eugene, Oregon, in the United States. This approach captures the interdependencies between input parameters such as solar irradiance, temperature, and applied load and output variables such as voltage and current. Additionally, it accounts for key PV metrics including open circuit voltage, short circuit current, maximum power point current, and maximum power point voltage. The NN model is trained with a comprehensive dataset featuring high persistent excitation along with real measurements. Performance metrics such as root mean square error demonstrate that the data-driven NN model surpasses traditional methods, offering a more practical solution for PV system performance modeling. © 2024 IEEE.

关键词： Photovoltaics

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Machine Learning-Based Batch Processing for Calibration of Model and Noise Parameters

Machine Learning-Based Batch Processing for Calibration of M...

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Conference on Digital Avionics systems (DASC)

作者： Kyuman Lee Dept. of Robot and Smart System Engineering Kyungpook National University Daegu Rep. of Korea

Non-Gaussian or non-whiteness of noise sources often occurs in many digital avionics systems. Incorrect modeling of the system degrades the performance of parametric model-based estimators and controllers. To calibrate the model and noise parameters, this paper proposes a machine learning-based batch processing approach. We first mathematically formulate a state augmentation system containing three types of noise: color noise, state-dependent noise, and correlation noise. Next, we define accessible process and measurement residuals to create the training data set. Finally, we propose offline batch processing that recursively utilizes a machine learning technique to calibrate the model and noise parameters. Simulation results under various conditions validate the calibration performance of the proposed approach.

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