A5047492763- Fault Detection and Control Systems
- Robotics and Sensor-Based Localization
- Robotic Path Planning Algorithms
- Industrial Vision Systems and Defect Detection
- Neural Networks and Applications
- Fuzzy Logic and Control Systems
- Advanced Manufacturing and Logistics Optimization
- Machine Fault Diagnosis Techniques
- Advanced Algorithms and Applications
- Water Quality Monitoring and Analysis
- Spectroscopy and Chemometric Analyses
- Precipitation Measurement and Analysis
- Internet of Things and Social Network Interactions
- Inertial Sensor and Navigation
- Meteorological Phenomena and Simulations
- Mineral Processing and Grinding
- Image Retrieval and Classification Techniques
- Technology and Data Analysis
- Face and Expression Recognition
- Water Quality Monitoring Technologies
- Advanced Sensor and Control Systems
- Supercapacitor Materials and Fabrication
- Engineering Diagnostics and Reliability
- Magnetic Bearings and Levitation Dynamics
- Advanced Vision and Imaging
Pusan National University
2016-2025
Marymount University
2020
Beijing Institute of Technology
2020
Yokohama National University
2020
Toshiba (Japan)
2020
Busan National University of Education
2018
Ulsan National Institute of Science and Technology
2014
Georgia Institute of Technology
1994
Hyundai Motors (South Korea)
1989
A microgrid is an aggregation of multiple distributed generators (DGs), such as renewable energy sources, conventional generators, and storage systems that provide both electric power thermal energy. Typically, a operates in parallel with the main grid. However, there are cases which islanded mode, or disconnected state. Islanded can change its operational mode to grid-connected operation by reconnection grid, referred synchronization. Generally, single machine simply synchronizes grid using...
Due to the recent development of information and communication technology (ICT), various studies using real-time data are now being conducted. The microgrid research field is also evolving enable intelligent operation energy management through digitalization. Problems occur when operating actual microgrid, causing issues such as difficulty in decision making system abnormalities. Using digital twin technology, which one technologies representing fourth industrial revolution, it possible...
As industrial systems grow larger and more interconnected, timely fault detection is essential to minimize downtime, enhance reliability, reduce costs. However, conventional methods focus on reactive maintenance, limiting their ability detect faults before escalation. Additionally, propagation in large-scale can degrade performance. To address these challenges, we propose an auto-associative shared nearest neighbor kernel regression method for complex processes. Inspired by attention...
In this study, we developed and implemented a system that provides AI-based assessment feedback in mathe matical inquiry activities using AlgeoMath. The were designed alignment with the 2022 revised mathematics curriculum to enhance mathematical competencies. learning process integrated three categories—knowl edge understanding, processes skills, values attitudes—in relation achievement standards. Feedback of students' responses during problem-solving based on Large Language Models (LLMs)....
Black-box classifiers, such as artificial neural network and support vector machine, are a popular classifier because of its remarkable performance.They applied in various fields inductive inferences, classifications, or regressions.However, by characteristics, they cannot provide appropriate explanations how the classification results derived.Therefore, there plenty actively discussed researches about interpreting trained black-box classifiers.In this paper, we propose method to make fuzzy...
Deep learning is applied in various manufacturing domains. To train a deep network, we must collect sufficient amount of training data. However, it difficult to image datasets required the networks perform object recognition, especially because target items that are be classified generally excluded from existing databases, and manual collection images poses certain limitations. Therefore, overcome data deficiency present many domains including manufacturing, propose method generating new via...
Particulate matter (PM) in the air can cause various health problems and diseases humans. In particular, smaller size of PM2.5 enable them to penetrate deep into lungs, causing severe impacts. Exposure result respiratory, cardiovascular, allergic diseases, prolonged exposure has also been linked an increased risk cancer, including lung cancer. Therefore, forecasting concentration surrounding is crucial for preventing these adverse effects. This paper proposes a method after 1 h using...
In this manuscript, we are reporting for the first time one dimensional (1D) cerium hydrogen phosphate (Ce(HPO4)2.xH2O) electrode material supercapacitor application. short, a simple hydrothermal technique was employed to prepare Ce(HPO4)2.xH2O. The maximum surface area of 82 m2 g-1 obtained from nitrogen sorption isotherm. SEM images revealed Ce(HPO4)2.xH2O exhibited nanorod-like structure along with particles and clusters. specific capacitance 114 F achieved at 0.2 A current density...