Chang-Gyoon Lim

Chang-Gyoon Lim
Chonnam National University · Department of Electrical, Electronic Communication and Computer Engineering

Doctor of Engineering

About

37
Publications
10,165
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314
Citations

Publications

Publications (37)
Article
Full-text available
This paper addresses the challenge of identifying abnormal states in Lithium-ion Battery (LiB) time series data. As the energy sector increasingly focuses on integrating distributed energy resources, Virtual Power Plants (VPP) have become a vital new framework for energy management. LiBs are key in this context, owing to their high-efficiency energ...
Article
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This paper examines the difficulties of managing distributed power systems, notably due to the increasing use of renewable energy sources, and focuses on voltage control challenges exacerbated by their variable nature in modern power grids. To tackle the unique challenges of voltage control in distributed renewable energy networks, researchers are...
Article
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With the advancement of Industry 4.0 and Industrial Internet of Things (IIoT), manufacturing increasingly seeks automation and intelligence. Temperature and vibration monitoring are essential for machinery health. Traditional abnormal state detection methodologies often overlook the intricate frequency characteristics inherent in vibration time ser...
Article
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Energy consumption in buildings contributes to over a third of global energy consumption and 28% of greenhouse gas emissions. With urbanization and population growth, rising building energy demand can lead to environmental degradation. While significant renewable resources are used to generate electricity to mitigate environmental problems, demand-...
Conference Paper
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The massive carbon dioxide emission leads to the greenhouse effect and is one of the main causes of climate change. To reduce the use of fossil energy and carbon dioxide emissions, more and more renewable energy power stations, such as solar and wind power, are being connected to the grid to replace part of the fuel power stations. However, due to...
Article
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In the quest to minimize energy waste, the energy performance of buildings (EPB) has been a focus because building appliances, such as heating, ventilation, and air conditioning, consume the highest energy. Therefore, effective design and planning for estimating heating load (HL) and cooling load (CL) for energy saving have become paramount. In thi...
Article
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With the progress of renewable energy generation and energy storage technologies, more and more renewable sources and devices are integrated into the power system. Due to the complexity of the power system, single and multiple power quality disturbances (PQDs) occur more frequently. Hence, real‐time detection of PQDs is the primary issue to mitigat...
Conference Paper
Full-text available
Sewer sedimentation tanks accumulate a lot of sludge all year round and require a lot of labor and resources to clean up. Such underwater cleaning has many difficulties in cleaning works. Desilting robots are widely used in sludge cleaning to reduce labor. However, since this method is usually planned based on manual experience, the operation is in...
Conference Paper
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It remains a challenge for robots to learn to automatically avoid obstacles in path planning using reinforcement learning (RL). Some papers use RL algorithms to train a robot in simulated environment and verify the possibility of RL to achieve automatic obstacle avoidance. However, due to the influence of factors of different environments, differen...
Conference Paper
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People have different electricity demands in different seasons, which is affected by natural conditions. In summer and winter, the weather is hot and cold so that people have to adjust the indoor temperature with the help of equipment such as air conditioners to obtain a comfortable living environment. This also brings some problems, such as unstab...
Preprint
The internet-of-Vehicle (IoV) can facilitate seamless connectivity between connected vehicles (CV), autonomous vehicles (AV), and other IoV entities. Intrusion Detection Systems (IDSs) for IoV networks can rely on machine learning (ML) to protect the in-vehicle network from cyber-attacks. Blockchain-based Federated Forests (BFFs) could be used to t...
Article
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Energy demand has grown explosively in recent years, leading to increased attention of energy efficiency (EE) research. Demand response (DR) programs were designed to help power management entities meet energy balance and change end-user electricity usage. Advanced real-time meters (RTM) collect a large amount of fine-granular electric consumption...
Article
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With the rapid economic growth and improved living standards, electricity has become an indispensable energy source in our lives. Therefore, the stability of the grid power supply and the conservation of electricity is critical. The following are some of the problems facing now: 1) During the peak power consumption period, it will pose a threat to...
Article
Full-text available
The internet-of-Vehicle (IoV) can facilitate seamless connectivity between connected vehicles (CV), autonomous vehicles (AV), and other IoV entities. Intrusion Detection Systems (IDSs) for IoV networks can rely on machine learning (ML) to protect the in-vehicle network from cyber-attacks. Blockchain-based Federated Forests (BFFs) could be used to t...
Conference Paper
Full-text available
This paper aims to design a blockchain-based duck supply chain management system that captures assets and data flow from the poultry farm until the final customer. The system is proposed to improve efficiency and transparency of the duck supply chain and address the public health concern of the source of duck product through the use of blockchain t...
Conference Paper
Full-text available
With the rapid economic growth and the improvement of living standards, electricity has become an indispensable energy source in our lives. Therefore, the stability of the grid power supply and the conservation of electricity are very important. Controlling load as an important part of incentive demand response (DR), it can achive a rapid response...
Conference Paper
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Energy consumption has grown explosively in recent years, and energy shortages occurred occasionally. Demand Response (DR) programs could help energy management entities to balance power generation and consumption. The electricity consumption data were collected with the widely deployed advanced smart meters, which contain valuable information. Con...
Conference Paper
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This paper aims to forecast monthly electricity across different kinds of consumers such as Residential, Industrial, Official and Commercial sectors. To achieve this, a CNN-LSTM prediction framework for energy demand in smart grid is proposed. Efficient consumption prediction is essential for effective Demand Response (DR) which can enable consumer...
Article
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The demand for traceability of meat and livestock supply chains is growing due to the high-profile incidents of hormonal contamination. E. coli, dioxin, BSE, and antibiotics have been recorded. In this paper, we present blockchain-based poultry information management system design and implementation using Hyperledger Fabric. The proposed system off...
Article
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In the modern transportation system, In-vehicle communication systems are managed by controllers know as controller area networks (CAN). The CAN facilitates the interaction of 20 to 100 Electronic Control Units (ECU) which coordinate, monitor and control loads of internal vehicle components such as engine system, brake system and telematics system...
Article
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One major and time-consuming task in fish production is obtaining an accurate estimate of the number of fish produced. In most Nigerian farms, fish counting is performed manually. Digital image processing (DIP) is an inexpensive solution, but its accuracy is affected by noise, overlapping fish, and interfering objects. This study developed a catfis...
Article
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Epilepsy remains one of the most common chronic neurological disorders; hence, there is a need to further investigate various models for automatic detection of seizure activity. An effective detection model can be achieved by minimizing the complexity of the model in terms of trainable parameters while still maintaining high accuracy. One way to ac...
Article
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Due to the important role played by emotion in human interaction, affective computing is dedicated in trying to understand and regulate emotion through human-aware artificial intelligence. By understanding, emotion mental diseases such as depression, autism, attention deficit hyperactivity disorder, and game addiction will be better managed as they...
Article
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Structural Health Monitoring (SHM) is a process of detecting damages to engineering structures. The goal of SHM is to improve both the safety and reliability of infrastructures such as buildings, bridges, and highways. Several efforts have been made to develop improved SHM systems. However, most of these studies only considered vibration as a monit...
Conference Paper
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Poultry contributes significantly to the human food security and nutrition, protein, essential micro-nutrients and the provision of energy through the ability to convert a wide variety of agri-food wastes and byproducts into edible meat and eggs in short production cycles. Globally, the growth in demand for poultry meat and eggs is projected to be...
Conference Paper
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Air pollutants such as fine dust and ozone are important factors in human health management. In this work, the future air quality of Daegu metropolitan city is predicted by using the past air quality data. Due to the time series nature of the data, we use recurrent neural networks for the experiments. The data is measured in units of one hour using...
Conference Paper
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In this paper, we proposed a Recurrent Neural Network (RNN) for the classification of epileptic EEG signal. The EEG dataset is first preprocessed using Discrete Wavelet Transform (DWT) to remove noise and extract features. 20 eigenvalues features were extracted and used to train and test our model. Several experiments were conducted to obtain the o...
Conference Paper
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In this study, a blockchain technique for small scale energy trading is applied. The Consortium block chain, which is a private type, is used to allow the authorized users wishing to deal with electricity to form a blockchain. When a transaction is completed through auction between the prosumer and the consumer, a block for storing transaction info...
Conference Paper
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New methods of activating small scale electricity trading among individuals are required in order to achieve national Green House Gases (GHG) reduction targets. In this study, we design and implement a system capable of various management including transaction in the IoT based energy production of small prosumer. We allow prosumers to trade extra r...
Article
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Electroencephalogram (EEG) recording provides a new way to support human-machine communication. It gives us an opportunity to analyze the neuro-dynamics of human cognition. Machine learning is a powerful for the EEG classification. In addition, machine learning can compensate for high variability of EEG when analyzing data in real time. However, th...
Article
Our purpose is to propose a model of an integrated visual terminal for electronic money, which is a hot issue in Korea. Although numerous studies have attempted to develop various services in ubiquitous environment, there has been minimal research regarding u-Payment. The integrated visual terminal should fulfill commercial transactions occurred at...
Article
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RFID tag is detected by an RFID antenna and information is read from the tag detected, by an RFID reader. RFID tag detection by an RFID reader is very important at the deployment stage. Tag detection is influenced by factors such as tag direction on a target object, speed of a conveyer moving the object, and the contents of an object. The water con...
Conference Paper
This paper presents two additional strategies to reduce simulation time for Bayesian based stopping rules in VHDL model verification. The first is that a semi-random variable is defined and the data staying in the semi-random variable range are skipped when stopping rule is running, and a turning point that can partition a random variable into a se...
Article
Mold level control has been a major control task for continuous casting plants. The system involves nonlinearities such as stick-slip friction in the sliding gate, time-delay, friction force variations between molten steel and the inner wall of mold, and nozzle logging/unclogging. These complex problems should be solved to control mold level for st...
Conference Paper
We present a method of fuzzy sliding mode control for mould level, which has been a major control task in continuous casting plants. The mould level control system involves nonlinearities such as stick-slip friction in the sliding gate, time-delay, friction force variations between molten steel and the inner wall of mould, and nozzle logging/unclog...
Article
A number of parameters are extracted from speech signals using adaptive wavelets based on evolutionary programming and quasi-Newton methods. Their features will be applied to a text-independent speaker verification system. Adaptive wavelet networks are an effective tool in speech signal approximations as weighted linear combinations of translated a...

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