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230 results on '"Pyun, Jae-Young"'

4. Real-Time Indoor Positioning System Based on Background Training Model Using IR-UWB Radar

Author

Gang, Hui-Seon, Park, June-Buem, Pyun, Jae-Young, Akan, Ozgur, Series Editor, Bellavista, Paolo, Series Editor, Cao, Jiannong, Series Editor, Coulson, Geoffrey, Series Editor, Dressler, Falko, Series Editor, Ferrari, Domenico, Series Editor, Gerla, Mario, Series Editor, Kobayashi, Hisashi, Series Editor, Palazzo, Sergio, Series Editor, Sahni, Sartaj, Series Editor, Shen, Xuemin (Sherman), Series Editor, Stan, Mircea, Series Editor, Xiaohua, Jia, Series Editor, Zomaya, Albert Y., Series Editor, Li, Bo, editor, Shu, Lei, editor, and Zeng, Deze, editor

Published
2018
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8. Enhanced UWB Ranging Utilizing Denoising Neural Network

Author

Kim, Dae-Ho and Pyun, Jae-Young

Abstract

This letter introduces a denoising-based two-way ranging (D-TWR) utilizing artificial intelligence (AI) for an ultra-wideband (UWB) indoor positioning system. The proposed D-TWR reduces the distance measurement error with a denoising neural network pre-trained on UWB channels in various indoor environments. The denoising model adopts an extended input layer comprising the TWR-measured distance and channel impulse response observations and infers the ground truth distance for UWB ranging. The experimental results provide insights into the performance of the proposed denoising AI model in various indoor environments. Furthermore, it was confirmed that our method can reduce the prediction error of the ranging distance by approximately 34.44% compared to the existing AI regression method, resulting in improved UWB positioning accuracy.

Published
2024
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10. AI-ERA: Artificial Intelligence-Empowered Resource Allocation for LoRa-Enabled IoT Applications

Author

Farhad, Arshad and Pyun, Jae-Young

Abstract

Adaptive data rate (ADR) is a widely adopted resource assignment approach in long-range wide-area networks (LoRaWANs) for static Internet of Things (IoT) applications such as smart grids and metering. Blind ADR (BADR) has been recommended for mobile IoT applications such as pet and industrial asset tracking. However, ADR and BADR cannot provide appropriate measures to alleviate the massive packet loss problem caused by the unsuitable spreading factors (SFs) assigned to end devices when they are mobile. This article proposes a novel proactive approach—“artificial intelligence-empowered resource allocation” (AI-ERA)—to address the resource assignment issue in static and mobile IoT applications. The AI-ERA approach consists of two modes, namely offline and online modes. First, a deep neural network (DNN) model is trained with a dataset generated at ns-3 in the offline mode. Second, the proposed AI-ERA approach utilizes the pretrained DNN model in the online mode to proactively assign an efficient SF for the end device before each uplink packet transmission. The proactive behavior of the AI-ERA improved the packet success ratio by an average of 32% and 28% in static and mobility scenarios compared with the typical LoRaWAN ADR, respectively.

Published
2023
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16. Design of WLAN Secure System Against Weaknesses of the IEEE 802.1x

Author

Hong, Seong-pyo, Park, Jong-an, Han, Seung-jo, Pyun, Jae-young, Lee, Joon, Carbonell, Jaime G., editor, Siekmann, J\'org, editor, Szczuka, Marcin S., editor, Howard, Daniel, editor, Ślȩzak, Dominik, editor, Kim, Haeng-kon, editor, Kim, Tai-hoon, editor, Ko, Il-seok, editor, Lee, Geuk, editor, and Sloot, Peter M. A., editor

Published
2007
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17. A Study on the Detection Algorithm of QPSK Signal Using TDNN

Author

Noh, Sun-Kuk, Pyun, Jae-Young, Hutchison, David, editor, Kanade, Takeo, editor, Kittler, Josef, editor, Kleinberg, Jon M., editor, Mattern, Friedemann, editor, Mitchell, John C., editor, Naor, Moni, editor, Nierstrasz, Oscar, editor, Pandu Rangan, C., editor, Steffen, Bernhard, editor, Sudan, Madhu, editor, Terzopoulos, Demetri, editor, Tygar, Dough, editor, Vardi, Moshe Y., editor, Weikum, Gerhard, editor, Wang, Jun, editor, Yi, Zhang, editor, Zurada, Jacek M., editor, Lu, Bao-Liang, editor, and Yin, Hujun, editor

Published
2006
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19. TCP-Friendly Congestion Control over Heterogeneous Wired/Wireless IP Network

Author

Pyun, Jae-Young, Park, Jong An, Han, Seung Jo, Kim, Yoon, Park, Sang-Hyun, Hutchison, David, editor, Kanade, Takeo, editor, Kittler, Josef, editor, Kleinberg, Jon M., editor, Mattern, Friedemann, editor, Mitchell, John C., editor, Naor, Moni, editor, Nierstrasz, Oscar, editor, Pandu Rangan, C., editor, Steffen, Bernhard, editor, Sudan, Madhu, editor, Terzopoulos, Demetri, editor, Tygar, Dough, editor, Vardi, Moshe Y., editor, Weikum, Gerhard, editor, Ho, Yo-Sung, editor, and Kim, Hyoung-Joong, editor

Published
2005
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20. Traffic Management for Video Streaming Service over Diff-Serv

Author

Park, Sang-Hyun, Park, Jeong-Sik, Pyun, Jae-Young, Hutchison, David, editor, Kanade, Takeo, editor, Kittler, Josef, editor, Kleinberg, Jon M., editor, Mattern, Friedemann, editor, Mitchell, John C., editor, Naor, Moni, editor, Nierstrasz, Oscar, editor, Pandu Rangan, C., editor, Steffen, Bernhard, editor, Sudan, Madhu, editor, Terzopoulos, Demetri, editor, Tygar, Dough, editor, Vardi, Moshe Y., editor, Weikum, Gerhard, editor, Ho, Yo-Sung, editor, and Kim, Hyoung-Joong, editor

Published
2005
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21. Modified Color Co-occurrence Matrix for Image Retrieval

Author

Chang, Min Hyuk, Pyun, Jae Young, Ahmad, Muhammad Bilal, Chun, Jong Hoon, Park, Jong An, Hutchison, David, editor, Kanade, Takeo, editor, Kittler, Josef, editor, Kleinberg, Jon M., editor, Mattern, Friedemann, editor, Mitchell, John C., editor, Naor, Moni, editor, Nierstrasz, Oscar, editor, Pandu Rangan, C., editor, Steffen, Bernhard, editor, Sudan, Madhu, editor, Terzopoulos, Demetri, editor, Tygar, Dough, editor, Vardi, Moshe Y., editor, Weikum, Gerhard, editor, Wang, Lipo, editor, Chen, Ke, editor, and Ong, Yew Soon, editor

Published
2005
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