Y
Youngil Park
Researcher at Kookmin University
Publications - 84
Citations - 1331
Youngil Park is an academic researcher from Kookmin University. The author has contributed to research in topics: Visible light communication & Passive optical network. The author has an hindex of 15, co-authored 80 publications receiving 1238 citations.
Papers
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Journal ArticleDOI
Wavelength-division-multiplexed passive optical network (WDM-PON) technologies for broadband access: a review (Invited)
Amitabha Banerjee,Youngil Park,Frederick Clarke,Huan Song,Sunhee Yang,Glen Kramer,Kwangjoon Kim,Biswanath Mukherjee +7 more
TL;DR: Incorporating wavelength-division multiplexing (WDM) in a PON allows one to support much higher bandwidth compared to the standard PON, which operates in the traditional copper-based networks.
Journal ArticleDOI
RSS-Based Indoor Localization Algorithm for Wireless Sensor Network Using Generalized Regression Neural Network
TL;DR: This work proposes a flexible location estimation algorithm using generalized regression neural network (GRNN) and weighted centroid localization that is remarkably good in comparison with its simplicity and requiring no additional hardware.
Proceedings ArticleDOI
Localization of Wireless Sensor Network using artificial neural network
TL;DR: Simulation results show that the location accuracy can be increased by increasing the grid sensor density and the number of access points and a flexible model based on neural network and grid sensor training phase for accurate localization of sensors is proposed.
Journal ArticleDOI
A symmetric-structure CDMA-PON system and its implementation
Byung-gu Ahn,Youngil Park +1 more
TL;DR: A beat noise environment is analyzed and a transceiver structure to efficiently increase the reverse link rate is suggested and fundamental experimental results are provided to show its validity.
Journal ArticleDOI
Performance improvement of indoor positioning using light-emitting diodes and an image sensor for light-emitting diode communication
TL;DR: A highly precise indoor positioning algorithm using lighting LEDs, an image sensor, and VLC, which can estimate the unknown position to an accuracy of 0.001 m inside the approximate positioning area when the pixel value is >3000.