Juphil Cho
Kunsan National University
57 Papers
77 Citations
Juphil Cho is an academic researcher from Kunsan National University. The author has contributed to research in topics: Communication channel & Transmitter. The author has an hindex of 4, co-authored 55 publications.
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Papers
WiFi HaLow for Long-Range and Low-Power Internet of Things: System on Chip Development and Performance Evaluation
TL;DR: In this paper, the feasibility of long-range and low-power IEEE 802.11ah for Internet of Things (IoT) applications in the sub-1 GHz unlicensed band is investigated, and the technical features are described by comparing it with other IoT systems.
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Fall detection by using K-nearest neighbor algorithm on WSN data
Senol Zafer Erdogan,Turgay Tugay Bilgin,Juphil Cho +2 more
- 01 Dec 2010
TL;DR: The proposed system to detect falls by using a data mining approach on WSN data evaluated using data stream collected from sensor device and fall detection accuracy and precision are calculated.
14
A Back Propagation Neural Network with Double Learning Rate for PID Controller in Phase-Shifted Full-Bridge Soft-switching Power Supply
Yanming Cheng,Cheng Liu,Jing Wu,Hemiao Liu,Il-Kyoo Lee,Jing Niu,Juphil Cho,Kyung-Wan Koo,Min-Woo Lee,Deok-Gun Woo +9 more
TL;DR: The simulation results indicate that compared with the single learning rate BP neural network PID control, the double learning rateBP neural network control has higher response speed, less over-shoot, short time to enter the steady state and strong immunity.
11
Analysis on Characteristics for Sharing Co-channel between Communication Systems
TL;DR: The distance between two systems, WiBro and WLAN, compared to standard interference probability for channel co-use is analyzed in order to be used as a criteria in realization in the case of co-channel interference.
8
A novel channel estimation method for OFDM in high-speed mobile system
Juphil Cho,Jiwon Hwang,Tae-Jin Hwang,Heung-Ki Baik +3 more
- 12 Jun 2001
TL;DR: A channel estimation method which outperforms conventional methods such as PSAM and ESAE is proposed and the analytical results demonstrate that the proposed system has better performance than the conventional methods.
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