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Diagnosis of Diabetic Retinopathy Using Face-Recognition Techniques
Luis Frazao,Nipon Theera-Umpon,Sansanee Auephanwiriyakul 한국재활복지공학회 2016 한국재활복지공학회 학술대회논문집 Vol.2016 No.11
An automatic diagnostic system to detect diabetic retinopathy in 1200 eye color fundus images from the popular Messidor database was developed with promising results. The innovative methodology was inspired by techniques usually applied in the field of face recognition, namely the Principal Component Analysis (PCA) and the Independent Component Analysis (ICA). The analysis of local retinal features (exudates and red lesions) in addition to the holistic texture features analyzed in this work is expected to improve the system performance.
Power Factor Improvement of Distribution System with EV Chargers based on SMC Method for SVC
Farkoush, Saeid Gholami,Kim, Chang-Hwan,Jung, Ho-Chul,Lee, Sanghyuk,Theera-Umpon, Nipon,Rhee, Sang-Bong The Korean Institute of Electrical Engineers 2017 Journal of Electrical Engineering & Technology Vol.8 No.1
Utilization of Electric Vehicles (EVs) have been growing popularity in recent years due to increment in fuel price and lack of natural resources. Random unexpected charging by home EV charger in distribution is predicted in the future. The power quality problems such as fluctuation of power factor in a residential distribution network was explored with random EV chargers. This paper proposes a high-performance nonlinear sliding mode controller (SMC) for an EV charging system to compensate voltage distortions and to enhance the power factor against the unbalanced EV chargers. For the verification of the proposed scheme, MATLAB-Simulink simulations are performed on 22.9-kV grid. The results show that the proposed scheme can improve the power factor of a smart grid due to the EV chargers on the grid.
Power Factor Improvement of Distribution System with EV Chargers based on SMC Method for SVC
Saeid Gholami Farkoush,Chang-Hwan Kim,Ho-Chul Jung,Sanghyuk Lee,Nipon Theera-Umpon,Sang-Bong Rhee 대한전기학회 2017 Journal of Electrical Engineering & Technology Vol.12 No.4
Utilization of Electric Vehicles (EVs) have been growing popularity in recent years due to increment in fuel price and lack of natural resources. Random unexpected charging by home EV charger in distribution is predicted in the future. The power quality problems such as fluctuation of power factor in a residential distribution network was explored with random EV chargers. This paper proposes a high-performance nonlinear sliding mode controller (SMC) for an EV charging system to compensate voltage distortions and to enhance the power factor against the unbalanced EV chargers. For the verification of the proposed scheme, MATLAB-Simulink simulations are performed on 22.9-㎸ grid. The results show that the proposed scheme can improve the power factor of a smart grid due to the EV chargers on the grid.