• Title/Summary/Keyword: 류종열

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사용자 릴레이를 이용한 협력 통신

  • Ryu, Jong-Yeol;Choe, Wan
    • Information and Communications Magazine
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    • v.30 no.4
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    • pp.53-60
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    • 2013
  • 사용자 릴레이는 시스템 내의 사용자들이 협력을 통해 다른 사용자들에게 부가적인 정보를 제공함으로써 보다 안정적이고 효율적으로 정보를 전달 전달하는 기법이다. 사용자 릴레이를 이용한 협력통신은 기존의 협력통신이 갖는 여러 가지 제약조건들을 극복하고, 전송 효율을 향상시키기 위한 기술로 제시되었다. 본고에서는 사용자 릴레이를 이용한 협력통신 기법에 대한 전반적인 내용을 조망하고, 주요 기술 이슈들에 대해 알아본다. 또한 다양한 시스템에서의 사용자 릴레이 기법에 대한 활용과 현재까지의 주요 연구 동향에 대해 소개한다.

Misunderstandings of Korean Beauty: Comparative Studies of the Theses of Ryoo Jong-yeol, Ko You-seup, and Yoon Hee-soon (한국적 미에 대한 오해 -류종열, 고유섭, 윤희순의 논고 비교분석-)

  • Oh, Beung-Ouk
    • The Journal of Art Theory & Practice
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    • no.1
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    • pp.23-48
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    • 2003
  • Art theorists support art productions by, introducing them to the public, explaining their meanings, and playing a crucial part in the development of art. These tasks seem like their opus. Because the principles of art production and the artistic languages are quite different from the ordinaries, we need 'interpreters' who can mediate us and the artists. Art works need interpretation. And the interpretation includes not only the characteristics of the given art work, but the customs, history, and the unique qualities of the race that produced the art work. The former director of the Korean National Museum, Choi Soon-woo wrote on the characteristics of Korean art as those that stem from the poised, arbitrary, and non-elaborate state of mind. The statement of the former Director of the National Museum has its weight far greater than just a personal opinion. In fact, we encounter the same resonance of this statement over and over reproduced in the mass media. The problem lies on that it deals with not only a single art work, but the entire Korean art. And going further, this kind of remarks are already infused into every sector of our thought on art appreciation. In this paper, I argue for a re-reading of the characteristics of Korean beauty based on two reasons. First, the characteristic of art work is contemporary, thus we cannot define the characteristics of entire Korean art in a few words without the context of the period of its making. Second, Director Choi defined the characteristics that I pointed out above as 'natural' and 'nature-friendly.' Nature or being natural is not an usual word that defines the characteristics of art work, which stands for the opposite side of the nature in the binary opposition of nature/culture. To delve into these misunderstandings of Korean beauty in the popular notions of Korean art, I suggest the re-reading of three major articles on Korean art: Ryoo Jong-yeol's "Korean race and its art," Ko You-seup's reiteration of Ryoo's thesis called "Discourses in Korean Art History and Aesthetics," and Yoon Hee-soon's antithesis of Ryoo Jong-yeol titiled "Studies on Korean Art History."

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Beamforming Games with Quantized CSI in Two-user MISO ICs (두 유저 MISO 간섭 채널에서 불완전한 채널 정보에 기반한 빔포밍 게임)

  • Lee, Jung Hoon;Lee, Jin;Ryu, Jong Yeol
    • Journal of the Korea Institute of Information and Communication Engineering
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    • v.21 no.7
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    • pp.1299-1305
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    • 2017
  • In this paper, we consider a beamforming game between the transmitters in a two-user multiple-input single-output interference channel using limited feedback and investigate how each transmitter is able to find a modified strategy from the quantized channel state information (CSI). In the beamforming game, each of the transmitters (i.e., a player) tries to maximize the achievable rate (i.e., a payoff function) via a proper beamforming strategy. In our case, each transmitter's beamforming strategy is represented by a linear combining factor between the maximum ratio transmission (MRT) and the zero forcing (ZF) beamforming vectors, which is the Pareto optimal achieving strategy. With the quantized CSI, the transmitters' strategies may not be valid because of the quantization errors. We propose a modified solution, which takes into account the effects of the quantization errors.

Trust Degree Information based Relay Selection in Cooperative Communication with Multiple Relays (다수의 릴레이가 존재하는 협력 통신 환경에서 신뢰도 정보 기반의 릴레이 선택 기법)

  • Ryu, Jong Yeol;Kim, Seong Hwan
    • Journal of the Korea Institute of Information and Communication Engineering
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    • v.21 no.3
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    • pp.509-515
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    • 2017
  • In this paper, for a cooperative communication system with multiple relays, we consider a relay selection method by exploiting the trust degree information of relay nodes. In the cooperative communication system, we interpret the trust degree of relays as the probability that relay helps the communication between the transmitter and receiver. We first provide an expected achievable rate at the receiver by taking into account the both cases that the relay helps the transmission of transmitter and the relay does not help the transmission of transmitter according to its trust degree. For given trust degree information, we propose an efficient relay selection method to maximize the expected achievable rate at the receiver. For the various configurations, the simulation results confirm that the proposed relay selection method outperforms the conventional relay selection method, which does not consider the trust degree of relay nodes.

Smoking detection system based on wireless ad-hoc network using Raspberry Pi boards (라즈베리파이를 이용한 무선 애드혹 네트워크 기반의 흡연 모니터링 시스템)

  • Park, Sehum;Kim, Seong Hwan;Ryu, Jong Yul
    • Proceedings of the Korean Institute of Information and Commucation Sciences Conference
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    • 2018.05a
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    • pp.65-67
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    • 2018
  • We introduce a system that detects smoking in a specific area. The proposed system is implemented on a wireless ad hoc network consisting of Raspberry Pi boards. It is more economical owing to low-cost device than commercial smoking monitoring system and is scalable than the existing system with single Raspberry Pi. In this paper, the probability density function of carbon monoxide concentration during smoking and non-smoking is approximated as Gauusian distribution, respectively, using data measured from sensors for a long time. Based on this, a maximum likelihood detection technique is adopted to estimate the smoking status by observing the concentration of carbon monoxide. We aim at improving the reliability by estimating the smoking status using the collected values from multiple sensors connected to the ad hoc network.

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Pilot Hopping Scheme for Massive Antenna Systems in Cellular Networks (극다중 안테나 셀룰러 시스템을 위한 파일럿 도약 기법)

  • Kim, Seong Hwan;Ban, Tae-Won;Lee, Wongsup;Ryu, Jong Yeol
    • Journal of the Korea Institute of Information and Communication Engineering
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    • v.21 no.4
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    • pp.718-723
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    • 2017
  • We propose a pilot hopping scheme that improves the limited system capacity due to pilot contamination in multi-cell environment with large-scale antenna arrays at a base station, assuming the infinite number of antennas. In the conventional fixed pilot scheme, each user obtains the same signal-to-interference ratio (SIR) over a long period of time. Therefore, a user with strong interference has continuously low SIR which degrades its service quality. In the proposed pilot hopping scheme, different pilot signals are used for each time slot, and different amounts of interference are received every time. When such a pilot hopping technique is applied, the SIR fluctuates at every time slot. When the Hybrid Automatic Repeat & reQuest (HARQ) technique is applied in such a channel, the outage probability and transmission rate are improved. We show that there is the performance gain of the proposed scheme over the conventional scheme through computer simulations.

Fast Detection of Disease in Livestock based on Deep Learning (축사에서 딥러닝을 이용한 질병개체 파악방안)

  • Lee, Woongsup;Kim, Seong Hwan;Ryu, Jongyeol;Ban, Tae-Won
    • Journal of the Korea Institute of Information and Communication Engineering
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    • v.21 no.5
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    • pp.1009-1015
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    • 2017
  • Recently, the wide spread of IoT (Internet of Things) based technology enables the accumulation of big biometric data on livestock. The availability of big data allows the application of diverse machine learning based algorithm in the field of agriculture, which significantly enhances the productivity of farms. In this paper, we propose an abnormal livestock detection algorithm based on deep learning, which is the one of the most prominent machine learning algorithm. In our proposed scheme, the livestock are divided into two clusters which are normal and abnormal (disease) whose biometric data has different characteristics. Then a deep neural network is used to classify these two clusters based on the biometric data. By using our proposed scheme, the normal and abnormal livestock can be identified based on big biometric data, even though the detailed stochastic characteristics of biometric data are unknown, which is beneficial to prevent epidemic such as mouth-and-foot disease.

Finger Printing Based Radio Positioning Scheme for Maritime Safety (수상 안전을 위한 Finger Printing 기반 무선 위치추적 기술)

  • Seok, Keun Young;Ryu, Jong Yeol;Lee, Jung Hoon
    • Journal of the Korea Institute of Information and Communication Engineering
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    • v.22 no.7
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    • pp.1001-1008
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    • 2018
  • In this paper, we propose an efficient location tracking scheme using wireless signals for various situations in marine environment that requires location information for many reasons such as lifesaving, accident prevention, and facility management. Our proposed location tracking scheme not only monitors user's location, but also minimizes the risk under the user's limited battery power budget. The position of a user can be obtained at base stations from the strengths of the received signals from the user. In this case, it may require to prevent the user from getting out of the predetermined safe area. For each location in the safe area, we define a risk function, which is influenced by many factors such as location accuracy, depth, flow rate, and geometry. Our proposed scheme is based on finger printing technique and aims at minimizing the average risk of each user in the safe area.

Prediction of Water Usage in Pig Farm based on Machine Learning (기계학습을 이용한 돈사 급수량 예측방안 개발)

  • Lee, Woongsup;Ryu, Jongyeol;Ban, Tae-Won;Kim, Seong Hwan;Choi, Heechul
    • Journal of the Korea Institute of Information and Communication Engineering
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    • v.21 no.8
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    • pp.1560-1566
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    • 2017
  • Recently, accumulation of data on pig farm is enabled through the wide spread of smart pig farm equipped with Internet-of-Things based sensors, and various machine learning algorithms are applied on the data in order to improve the productivity of pig farm. Herein, multiple machine learning schemes are used to predict the water usage in pig farm which is known to be one of the most important element in pig farm management. Especially, regression algorithms, which are linear regression, regression tree and AdaBoost regression, and classification algorithms which are logistic classification, decision tree and support vector machine, are applied to derive a prediction scheme which forecast the water usage based on the temperature and humidity of pig farm. Through performance evaluation, we find that the water usage can be predicted with high accuracy. The proposed scheme can be used to detect the malfunction of water system which prevents the death of pigs and reduces the loss of pig farm.

Performance analysis of private multimedia caching network based on wireless local area network (WLAN 기반 개인형 멀티미디어 캐싱 네트워크 성능 분석)

  • Ban, Tae-Won;Kim, Seong Hwan;Ryu, Jongyeol;Lee, Woongsup
    • Journal of the Korea Institute of Information and Communication Engineering
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    • v.21 no.8
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    • pp.1486-1491
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    • 2017
  • In this paper, we propose a private multimedia caching scheme based on wireless local area network (WLAN) to improve the quality of service for high capacity and high quality multimedia streaming services which are recently increasing and to reduce the traffic load of core networks. The proposed caching scheme stores multimedia in the storage device mounted on WLAN APs and provides streaming services on its own without Internet connection in accordance with the request from clients. We have implemented a test network based on real commercial networks and measured the performance of the proposed caching scheme in terms of frames per second (FPS) and buffering time. According to the performance measurement results, the proposed caching scheme can reduce the average buffering time by 73.3% compared to the conventional streaming scheme. In addition, the proposed caching scheme can also improve the average FPS by 71.3% compared to the conventional streaming scheme.