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

Deep Learning Based Heart Rate Estimation Using Smart Shoes Sensor
Suwhan Baek, Heesang Eom, Yuli-Sun Hariyani, Gwangho Kim, Jongryum Roh, Sayup Kim, Cheolsoo Park, “Deep Learning Based Heart Rate Estimation Using Smart Shoes Sensor,” 2020 IEEE International Conference on Consumer Electronics – Asia (ICCE-Asia), 2020, pp. 1-4

Dual Attention-Based Deep Learning Method for Nailfold Capillary Segmentation
Yuli Sun Hariyani, Heesang Eom, Cheolsoo Park, “Dual Attention-Based Deep Learning Method for Nailfold Capillary Segmentation”,International Engineering in Medicine and Biology Conference, Berlin, Germany, 2019 07

YU-NET: An Improved Deep Learning method for Nailfold Capillary Segmentation
Yuli Sun Hariyani, 엄희상, 박철수, “YU-NET: An Improved Deep Learning method for Nailfold Capillary Segmentation”, 대한의용생체공학회 춘계학술대회, 여수, 2019.05

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, “Automated Capillary Image Segmentation using Deep Learning”, 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

Deep Learning-Based Optimal Smart Shoes Sensor Selection for Energy Expenditure and Heart Rate Estimation
Heesang Eom, Jongryun Roh, Yuli Sun Hariyani, Suwhan Baek, Sukho Lee, Sayup Kim, Cheolsoo Park, “Deep Learning-Based Optimal Smart Shoes Sensor Selection for Energy Expenditure and Heart Rate Estimation”, MDPI Sensors, Vol.21(21), SCI, IF=3.576

Optimization of Deep Neural Networks for Heartrate Estimation from Face Video Stream to Implement Smart Health-City
G. Kim, Y. S. Hariyani, S. Han, H. Lee, R. Sohn, and C. Park, “Optimization of Deep Neural Networks for Heartrate Estimation from Face Video Stream to Implement Smart Health-City,” The Journal of Korean Institute of Communications and Information Sciences, vol. 45, no. 12, pp. 2220–2228, 2020.

Automated White Blood Cell Counting in Nailfold Capillary Using Deep Learning Segmentation and Video Stabilization
Byeonghwi Kim*, Yuli Sun Hariyani*, Young-Ho Cho, Cheolsoo Park, “Automated White Blood Cell Counting in Nailfold Capillary Using Deep Learning Segmentation and Video Stabilization”, MDPI Sensors, Vol.20(24), SCI, IF=3.275

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”, MDPI Sensors, Vol.20(21), SCI, IF=3.275

End-to-End Deep Learning Architecture for Continuous Blood Pressure Estimation Using Attention Mechanism
Heesang Eom, Dongseok Lee, Seungwoo Han, Yuli Sun Hariyani, Yonggyu Lim, Illsoo Sohn, Kwangsuk Park, and Cheolsoo Park, “End-to-End Deep Learning Architecture for Continuous Blood Pressure Estimation Using Attention Mechanism”, MDPI Sensors, Vol.20(8), SCI, IF=3.275

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, IF=3.367

Internet of Things: Low Cost and Wearable SpO2 Device for Health Monitoring
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, IF=0.68
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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), Kookmin University.

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), Kookmin University.

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”, Summer Annual Conference of IEIE, Jun, 2021, Jeju

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.
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