12   Artículos

 
en línea
Jin Su Kim, Cheol Ho Song, Jae Myung Kim, Jimin Lee, Yeong-Hyeon Byeon, Jaehyo Jung, Hyun-Sik Choi, Keun-Chang Kwak, Youn Tae Kim, EunSang Bak and Sungbum Pan    
Current advancements in biosignal-based user recognition technology are paving the way for a next-generation solution that addresses the limitations of face- and fingerprint-based user recognition methods. However, existing biosignal benchmark databases ... ver más
Revista: Applied Sciences    Formato: Electrónico

 
en línea
Yeong-Hyeon Byeon and Keun-Chang Kwak    
When acquiring electrocardiogram (ECG) signals, the placement of electrode patches is crucial for acquiring electrocardiographic signals. Constant displacement positions are essential for ensuring the consistency of the ECG signal when used for individua... ver más
Revista: Applied Sciences    Formato: Electrónico

 
en línea
Jin-A Lee and Keun-Chang Kwak    
Analyzing the condition and function of the heart is very important because cardiovascular diseases (CVDs) are responsible for high mortality rates worldwide and can lead to strokes and heart attacks; thus, early diagnosis and treatment are important. Ph... ver más
Revista: Applied Sciences    Formato: Electrónico

 
en línea
Chan-Uk Yeom and Keun-Chang Kwak    
In this paper, we propose context-based GK clustering and design a CGK-based granular model and a hierarchical CGK-based granular model. Existing fuzzy clustering generates clusters using Euclidean distances. However, there is a problem in that performan... ver más
Revista: Applied Sciences    Formato: Electrónico

 
en línea
Jin-A Lee and Keun-Chang Kwak    
Conventional personal identification methods (ID, password, authorization certificate, etc.) entail various issues, including forgery or loss. Technological advances and the diffusion across industries have enhanced convenience; however, privacy risks du... ver más
Revista: Applied Sciences    Formato: Electrónico

 
en línea
Chan-Uk Yeom and Keun-Chang Kwak    
We propose an adaptive neuro-fuzzy inference system (ANFIS) with an incremental tree structure based on a context-based fuzzy C-means (CFCM) clustering process. ANFIS is a combination of a neural network with the ability to learn, adapt and compute, and ... ver más
Revista: Applied Sciences    Formato: Electrónico

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