- Blind Source Separation Techniques
- Advanced Adaptive Filtering Techniques
- Speech and Audio Processing
- Neural Networks and Applications
- Advanced Wireless Communication Techniques
- Engineering Applied Research
- Advanced Algorithms and Applications
- Metallurgy and Material Forming
- Power Line Communications and Noise
- Image and Signal Denoising Methods
- Wireless Signal Modulation Classification
- Gear and Bearing Dynamics Analysis
- Mechanical Engineering and Vibrations Research
- Advanced Chemical Sensor Technologies
- Single-cell and spatial transcriptomics
- Spectroscopy and Chemometric Analyses
- Machine Learning and ELM
- Wireless Communication Networks Research
- Direction-of-Arrival Estimation Techniques
- Advanced Battery Technologies Research
- Target Tracking and Data Fusion in Sensor Networks
- Internet of Things and Social Network Interactions
- Distributed Sensor Networks and Detection Algorithms
- Sparse and Compressive Sensing Techniques
- Impact of Light on Environment and Health
Kangwon National University
2009-2024
Samsung (South Korea)
2023
Taewoong Medical (South Korea)
2020-2022
Pusan National University
2022
Korea Advanced Institute of Science and Technology
2017-2021
Dankook University
2019-2020
Inha University
2019
Pukyong National University
2019
Catholic University of Korea
2012
Kyungpook National University
2009
This study explores the integration and optimization of battery energy storage systems (BESSs) hydrogen (HESSs) within an management system (EMS), using Kangwon National University’s Samcheok campus as a case study. research focuses on designing BESSs HESSs with specific technical specifications, such capacities power ratings, their into EMS. By employing MATLAB-based simulations, this analyzes dynamics, grid interactions, load strategies under various operational scenarios. Real-time data...
In lithium metal batteries (LMBs), electrolytes composed of salts and organic solvents play a significant role in transporting Li+ ions creating the surface film on Li-metal anodes. Herein, effect methyl acetate (MA) as co-solvent is reported, which enables facilitated transport formation robust solid electrolyte interphase (SEI) anode. The symmetrical Li//Li cell tests show remarkable cycle stability MA-based at 3 mA/cm2 without obvious voltage fluctuation. At 5 mA/cm2, cells can still run...
In this paper, a new blind signal processing scheme for equalization in fading and impulsive-noise channel environments is introduced based on probability density function matching method set of Dirac-delta functions. Gaussian kernel the proposed algorithm has effect cutting out outliers difference between desired level values impulse-infected outputs. And also relatively less sensitivity to eigenvalue ratio reduced computational complexity compared recently correntropy algorithm. According...
Miniaturization of immunoassays has numerous potential advantages over traditional ELISAs. Here we present a novel approach using patterned planar plates (PPPs). These 'wall-less' consist 16 × 24 array 2 mm diameter hydrophilic regions surrounded by hydrophobic polytetrafluoroethylene (PTFE) coating. Assays are performed adding μL droplets to the areas. overlaid with an immiscible mixture perfluorocarbon liquid (PFCL) that essentially eliminates evaporation. During wash steps, thin film PFCL...
This paper proposes a per-machine linear dispatching rule learning approach to improve the scheduling of re-entrant flow shop such as semiconductor fab. Finding an optimal schedule complex manufacturing system is intractable; hence, heuristic widely used in actual practice. Also, develop good rule, automated methodology for developing heuristics, also known hyper-heuristic, has been studied extensively. However, most literature focused on finding single-sophisticated which every machine uses...
Learning behaviors of a radial basis function network (RBFN) using singular value decomposition (SVD) and stochastic gradient (SG) algorithm, together named RBF-SVD-SG, for odor sensing systems are analyzed, fast training method is proposed. RBF input data from conducting polymer sensor array. It revealed in this paper that the SG algorithm fine-tuning centers widths still shows ill-behaving learning results when sufficiently small convergence coefficient not used. Since tuning RBFN plays...
LEDs are not 100 % efficient at converting input power to light. Some of the energy is converted into heat and must be transferred ambient. Two approaches used assess amount generated by LED - based on luminous efficacy radiation a new one presented in paper. To provide sufficient accuracy thermal evaluations closer real operating modes for specific module technique developed. The aim evaluate during design phase lighting. Experiments modules conducted efficiency heat. For dissipation study...
최소오차엔트로피(MEE)는 비가우시안 잡음하의 채널등화, 신호처리, 분류, 상태추정, 그리고 머신러닝 등에 성공적으로 적용되어왔다. 그러나 MEE를 구현하기에는 MEE자체가 지닌 이중합산 과정의 과중한 계산량이 어려움으로 작용한다. 이 문제를 해결하기 위해 통계적 기대치 또는 샘플 평균 과정 대신 순시값 자체를 활용하여 더 이상 과정이 없는 새로운 MEE 성능기준을 제안하였다. 또한, 제안한 TDL등화기 구조에 적용한 가중치 갱신 알고리듬을 소개하였다. 충격성 다중 경로 페이딩 채널을 위한 적응 등화실험을 통해, 성능기준 및 알고리듬의 효능을 입증하였다.
A new blind equalization algorithm that is based on maximizing the probability constant modulus errors concentrate near zero proposed. The cost function of proposed to maximize equalizer output power equal transmitted symbols. Two information-theoretic learning (ITL) algorithms error signals are also introduced: One for minimizing Euclidean density distance and other entropy. relations between their characteristics investigated, performance compared analyzed through simulations in multi-path...
Continuously cast large round blooms have gained widespread attention due to the improved quality, enhanced economy, higher yields, and lower operating costs obtained through continuous operation. Because casting (CC) process combines cleanliness radial solidification symmetry of ingot with axial obtainable bloom casting, it can deliver a more homogeneous product than conventional casting. Herein, shop floor manufacturing main shaft is discussed confirm feasibility using continuously in...
Blind equalization techniques have been used in broadcast and multipoint communications. In this paper, two criteria of minimizing Euclidian distance between probability density functions (PDFs) for adaptive blind equalizers are presented. For PDF calculation, Parzen window estimator is used. One criterion to use a set randomly generated desired symbols at the receiver so that matches transmitted symbols. The second method Dirac delta place From simulation results, proposed methods...
이 논문에서는 심각한 다중경로 페이딩 왜곡과 충격성 잡음을 극복하기 위해 결정궤환 구조를 갖추고 오차의 영확률을 최대화하는 비선형 알고리듬(MZEP-DF)를 제안하였다. 제안된 MZEP-DF 알고리듬은 잡음에 강인성을 보였고 궤환구조 영역에서 잔여 심볼간 간섭을 제거하는 능력을 보였다. 기존 LMS 알고리듬이 정상상태 오차 전력에 대해 -3 dB 이하로 수렴하지 못했던 페이딩과 잡음 환경에 제안한 선형 MZEP 알고리듬과 비교하였을 때, 10 이상 성능향상을 In this paper, a nonlinear algorithm that maximizes zero-error probability (MZEP) with decision feedback (DF) is proposed to counteract both of severely distorted multi-path fading effect and impulsive noise. The has shown the immunity...
이 논문에서는, 통신 채널의 다중경로에 의한 심볼간 간섭 (ISI)과 와 임펄스 잡음을 극복하도록 하기 위해 오류 확률의 유클리드 거리를 최소화하는 결정 궤환 등화 알고리듬을 제안하였다. 거리는 확률과 델타 함수의 차이로 정의하였다. 등화기 가중치에 대해 최소화함으로써 제안한 알고리듬은 잡음에 대한 강건성 뿐 아니라 심각한 다중경로 잔여 ISI를 제거하는 효과를 보였다. For intersymbol interference (ISI) compensation from communication channels with multi-path fading and impulsive noise, a decision feedback equalizer algorithm that minimizes Euclidean distance of error probability is proposed. The defined as the quadratic between signal Dirac-delta...
Theuse of microscopic imaging for the accurate assessment cells in mitosis is hampered by round morphology mitotic cells, which renders them poorly adherent and highly susceptible to loss during washing stage cell-based assays. Here, circumvent these limitations, we make use DropArray™, a recent technology that allows high retention weakly suspension cells. DropArray offers competitive advantage maintaining classic throughput format microtiter plates while reducing microwell volume up 90%...
The minimum error entropy (MEE) algorithm is known to be superior in signal processing applications under impulsive noise. In this paper, based on the analysis of behavior optimum weight and properties robustness against noise, a normalized version MEE proposed. step size with power input that estimated recursively for reducing its computational complexity. proposed yields lower MSE (mean squared error) faster convergence speed simultaneously than original does equalization simulation. On...