A5005757315- Power Systems and Technologies
- Smart Grid Security and Resilience
- Machine Learning in Healthcare
- Smart Grid and Power Systems
- HVDC Systems and Fault Protection
- Industrial Automation and Control Systems
- Optimal Power Flow Distribution
- Electric Power System Optimization
- Inflammatory mediators and NSAID effects
- ECG Monitoring and Analysis
- Microgrid Control and Optimization
- Iron Metabolism and Disorders
- Osteoarthritis Treatment and Mechanisms
- Generative Adversarial Networks and Image Synthesis
- Constraint Satisfaction and Optimization
- Fetal and Pediatric Neurological Disorders
- Erythropoietin and Anemia Treatment
- EEG and Brain-Computer Interfaces
- Advanced Image Processing Techniques
- Autism Spectrum Disorder Research
- Advanced Image and Video Retrieval Techniques
- Sepsis Diagnosis and Treatment
- Advanced Vision and Imaging
- Efficiency Analysis Using DEA
- Data Mining Algorithms and Applications
Chungbuk National University
2024
Chungbuk National University Hospital
2022-2023
Gwangju Institute of Science and Technology
2023
Chungnam National University
2012-2013
This paper presents smart grid operation strategies based on the Northeast Asia power system interconnection (smart grid, place, transport, renewable, and electric service) in South Korean system. Future control centers should be flexible to include energy resources into unit dispatch increase efficiency utilizing renewable energy, controllable load meet future demand. market also have interaction with electricity market, which is not currently possible present functions In this paper, we...
To investigate the role of micro ribonucleic acid (miR)-181 in inflammatory responses osteoarthritis (OA) and related mechanism.The rat model OA was established by anterior cruciate ligament (ACL) transection, an automatic immuno-analyzer applied to detect bone metabolism indexes serum. The levels relevant factors joint fluid serum were measured using enzyme-linked immunosorbent assay (ELISA). cartilage specimens collected determine expression miR-181 normal tissues. Meanwhile, isolated...
In this paper, we present a smart grid (SG)-based substation testing simulator (STS) design for the South Korean power distribution system. The presented STS can serve as both test bed new devices and training facility education. It features closed-loop testing, reflects control/protection functions within interaction with Web or telecontrol system (IEC61850, DNP, IEC60870-5, Modbus, etc). This save certification time domestic/international standard fitness required developed before field...
In this paper, we suggest the operation, market structure, and regulation strategies with distributed generation (DG), demand response (DR), smart grid (SM) in Korean power distribution system. The strategic business unit (SBU) Korea Electric Power Corporation (KEPCO) was introduced as an alternative strategy because of interruptions steps separation sector. SBU is a system which retains responsibility for its own costs through self-regulation by each unit, thus providing incentives...
Although heart failure (HF) diagnosis and treatment techniques have advanced, more than 50% of HF patients are readmitted. Readmission worsens the life quality due to economic psychological burdens. Therefore, readmission prediction for is important prevent unnecessary readmissions. We used a feature tokenizer transformer (FT-transformer) predict by embedding all features analyzing via encoder. Our experiment with 615 outperformed conventional machine learning models, achieving an area under...
This study presents a method for the rapid and accurate generation of two-dimensional (2D) orthomosaic maps using selected image data collected by drone-captured video. The focus is on developing real-time capable creating more quickly than selection. scale-invariant feature transform (SIFT) algorithm applied to drone images extract features in various scale regions. For point matching, matching based fast library approximate nearest neighbors (FLANN) was adopted. A comparison computational...
Traditional power system analysis needs to bechanged because of the application distributed energyand smart grid concept. The changes are real-timecalculations for operation support and object-basedcalculations responding control (somechanges). And we need calculate a networkstatus with constraint problems line currents, bus voltagesand generation powers (active reactive). But traditionalpower is not prepared these problems. Inthis paper, suggest structure Optimal Power Flow(OPF) calculation...
Early and accurate diagnosis of Autism spectrum disorder (ASD) is crucial, but current diagnoses are subjective, time-consuming, expensive. Recent studies used deep learning for facial images to diagnose ASD. However, the criteria still unclear. To address these issues, we applied an explainable artificial intelligence technique four convolutional neural networks (MobileNet, Xception, EfficientNet, ensemble model). We utilized gradient-weighted class activation mapping suggest ASD diagnostic...
In our recent study, we introduced a novel convolution method, called GConv, which improves the performance of generative adversarial networks (GAN) by modulating kernels following given latent vector. this paper, analyze limitations and propose an improved GConv to address those problems. While modulates kernel equally at all pixels, proposed method produces pixel-wise different not only vector but also feature in each pixel. Even though is simple modification it shows better compared...
The optimal analysis has objective functions, equality constraint functions and inequality functions. Objective may be used with function, because occasionally variables are moved to non-analytic condition calculating But very complicated problem in a analysis. this paper suggest method solve