Ph.D Course

Bio-Computing & Machine Learning Laboratory

Ph.D Course

Yuli Sun Hariyani

Yuli Sun Hariyani is a current PhD student in Computer Engineering Department at Kwangwoon University, South Korea.
She received her BS and MS degree from Telkom University, Indonesia. Her research interest include image processing and biomedical image processing.

Communications

A Spiking Neural Network of Digit Classification Using Prior Probability as Supervised Learning Model Representative

U Sunarya, Y Hariyani, D Sim, C. Park, “A Spiking Neural Network of Digit Classification Using Prior Probability as Supervised Learning Model Representative”, 한국통신학회, Jan. 23-25th 2019, 평창

Automated Capillary Image Segmentation using Deep Learning

Byeon-Ghwi Kim, Yuli Sun Hariyani, Cheolsoo Park, Ubiquitous Healthcare 2018 in Kyoto, International Science Innovation Building, Kyoto University, Dec. 11th -13th, 2018.

Nailfold Capillary Segmentation using Deep Learning

Yuli Sun Hariyani, C. Park*, “Nailfold Capillary Segmentation using Deep Learning”, SMIT2018-IBEC2018 Joint Conference in Grand Walkerhill Hotel, Seoul, Korea, November 8-10th, 2018

Journal Articles

DA-CapNet: Dual Attention Deep Learning based on U-Net for Nailfold Capillary Segmentation

Yuli Sun Hariyani, Heesang Eom, Cheolsoo Park, “DA-CapNet: Dual Attention Deep Learning based on U-Net for Nailfold Capillary Segmentation”, in IEEE Access, vol. 8, pp. 10543-10553, 2020. SCIE

Internet of Things: Low Cost and Wearable SpO2 Device for Health Monitorin

RR Adiputra, S Hadiyoso, YS Hariyani. Internet of Things: Low Cost and Wearable SpO2 Device for Health Monitoring. International Journal of Electrical and Computer Engineering Vol. 8, Issue. 2, (Apr 2018): 939-945.

More Details : https://scholar.google.com/citations?user=Dc6wn9AAAAAJ&hl=en

 

Unang Sunarya

Unang Sunarya is a current Ph.D student in Computer Engineering Department at Kwangwoon University, South korea.
He received Diploma degree from Bandung State Polytechnic (POLBAN), BS and MS degree from Telkom University, Indonesia. His research interest include signal processing and electronic engineering.

Communications

Three Classification Classes of Gait Type Using Step Segmentation

U Sunarya, Y S.H, T Cho, S Baek, S Kim, J Roh, C Park, “Three Classification Classes of Gait Type Using Step Segmentation”, Engineering in Circadian Rhythm and Ubiquitous Healthcare (Uhealthcare)

Gait Type Classification Using Support Vector Classification

U Sunarya, YS Hariyani, T Cho, YH Soo, S Kim, J Roh, C Park, “Gait Type Classification Using Support Vector Classification”, Korea Society of Medical and Biological Engineering (Kosombe)

A Spiking Neural Network of Digit Classification Using Prior Probability as Supervised Learning Model Representative

U Sunarya, YS Hariyani, D Sim, C Park, “A Spiking Neural Network of Digit Classification Using Prior Probability as Supervised Learning Model Representative”, Korean Institute of Communications and Information Sciences (KICS) 한국통신학회 학술대회논문집

A study of Monte Carlo localization on robot operating system

Aini, F.R.Q., Jati, A.N., Sunarya, U., “A study of Monte Carlo localization on robot operating system”, 2016 International Conference on Information Technology Systems and Innovation, ICITSI 2016 – Proceedings

Finger vein recognition using perimeter and PCA

Prayogo, Y., Rizal, A., Sunarya, U., “Finger vein recognition using perimeter and PCA “, 2016. International journal of Tomography and Simulation

Design and implementation of wheelchair controller based electroencephalogram signal using microcontroller

Arzak, M.I., Sunarya, U., Hadiyoso, S., “Design and implementation of wheelchair controller based electroencephalogram signal using microcontroller”, 2016. International Journal of electrical and Computer Engineering


Journal Articles

A Binary Sleep Classification of BCG Signal using Random Search-Optimized Random Forest

Unang Sunarya, Hyunsoo Yu, Sayup Kim, Cheolsoo Park, “A Binary Sleep Classification of BCG Signal using Random Search-Optimized Random Forest ”

Feature Analysis of Smart Shoe Sensors for Classification of Gait Patterns

Unang Sunarya, Yuli Sun Hariyani, Taeheum Cho, Jongryun Roh, Joonho Hyeong, Illsoo Sohn, Sayup Kim, Cheolsoo Park, “Feature Analysis of Smart Shoe Sensors for Classification of Gait Patterns”, Sensors 20 (21), 6253

Deep-ACTINet: End-to-End Deep Learning Architecture for Automatic Sleep-Wake Detection Using Wrist Actigraphy

T Cho, U Sunarya, M Yeo, B Hwang, YS Koo, C Park, “Deep-ACTINet: End-to-End Deep Learning Architecture for Automatic Sleep-Wake Detection Using Wrist Actigraphy”, Electronics 8 (12), 1461

Internet of Things: Low Cost and Wearable SpO2 Device for Health Monitorin

RR Adiputra, S Hadiyoso, YS Hariyani. Internet of Things: Low Cost and Wearable SpO2 Device for Health Monitoring. International Journal of Electrical and Computer Engineering Vol. 8, Issue. 2, (Apr 2018): 939-945.

More Details : https://scholar.google.co.id/citations?user=3fSHe4oAAAAJ&hl=en