• 방재와보험
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• s.111
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• pp.20-27
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• 2006

피난길이가 긴 장대터널에서 화재가 발생되면 생성된 연기가 상승하고 천장을 만나 터널의 길이방향으로 전파된다. 연기의 독성가스에 의해 질식하게 되는 인명피해를 줄이기 위해서는 발생한 화재의 크기에 따라 제연유속이 필요하며, 제연 팬의 용량과 신뢰성을 확보해야 한다.

• The Journal of the Korea institute of electronic communication sciences
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• v.16 no.6
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• pp.1161-1174
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• 2021

UDP is an unreliable data transmission protocol, in contrast to TCP, which implements reliable data delivery based on flow control and retransmission methods. However, the TCP operation algorithm for guaranteeing reliability is inefficient in improving transmission performance, and above all, there is no need to transmit data using the TCP method for fields that do not require perfect integrity. In this paper, we intend to discuss ways to improve the stability while maintaining the existing performance of UDP. To this end, a program applied with packet buffering and relaying techniques was developed, and the performance and stability of the experiment were verified.

• Journal of KIISE
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• v.44 no.7
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• pp.686-691
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• 2017

Telemarketing has become the center of marketing action of the industry in the information society. Recently, machine learning has emerged in many areas, especially, financial prediction. Financial data consists of lots of unlabeled data in most parts, and therefore, it is difficult for humans to perform their labeling. In this paper, we propose a fusion method of semi-supervised learning for automatic labeling of unlabeled data to predict telemarketing. Specifically, we integrate labeling results of label propagation and co-training with a decision tree. The data with lower reliabilities are removed, and the data are extracted that have consistent label from two labeling methods. After adding them to the training set, a decision tree is learned with all of them. To confirm the usefulness of the proposed method, we conduct the experiments with a real telemarketing dataset in a Portugal bank. Accuracy of the proposed method is 83.39%, which is 1.82% higher than that of the conventional method, and precision of the proposed method is 19.37%, which is 2.67% higher than that of the conventional method. As a result, we have shown that the proposed method has a better performance as assessed by the t-test.

• The Journal of Korean Institute of Electromagnetic Engineering and Science
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• v.17 no.12 s.115
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• pp.1212-1223
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• 2006

Microwave(M/W) bands, though having great demand in wireless services, have been used mostly for long distance communications. As a result, the studies on their mobile radio models have been made less than on VHF/UHF. However, as the mobile communication services with M/W bands have been increasing, the development of a more accurate prediction model of the mobile radio environments has been demanded. The development of a reliable radio prediction model in the mobile radio environments requires the measurement and analysis of the characteristics of the radio waves according to reflection, diffraction and scattering of radio signals in various mobile radio environments. The proposed 8 GHz band radio prediction models have 2 different categories: (1) LOS model and (2) non-LOS model. The LOS model predicts signal strength using the analytic result with measured pathless exponents for the waves direct and reflected by ground and buildings, and the non-LOS model suggests a prediction model of received power by calculating the signal variations after diffraction.

• Journal of the Institute of Electronics Engineers of Korea SP
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• v.49 no.3
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• pp.51-59
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• 2012

This paper suggests an efficient method which tracks articulated human body modeled with markov network using disparity map derived from stereo images. The conventional methods which only use color information to calculate likelihood for energy function tend to fail when background has same colors with objects or appearances of object are changed during the movement. In this paper, we present a method evaluating likelihood with both disparity information and color information to find human body parts. Since the human body part are cylinder projected to rectangles in 2D image plane, we use the properties of distribution of disparity of those rectangles that do not have discontinuous distribution. In addition to that we suggest a conditional-messages-update that is able to reduce unnecessary message update of belief propagation. Since the message update has comprised over 80% of the whole computation in belief propagation, the conditional-message-update yields 9~45% of improvements of computational time. Furthermore, we also propose an another speed up method called three dimensional dynamic models assumed the body motion is continuous. The experiment results show that the proposed method reduces the computational time as well as it increases tracking accuracy.

• Journal of KIISE:Software and Applications
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• v.35 no.12
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• pp.780-788
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• 2008

Modeling hand poses and tracking its movement are one of the challenging problems in computer vision. There are two typical approaches for the reconstruction of hand poses in 3D, depending on the number of cameras from which images are captured. One is to capture images from multiple cameras or a stereo camera. The other is to capture images from a single camera. The former approach is relatively limited, because of the environmental constraints for setting up multiple cameras. In this paper we propose a method of reconstructing 3D hand poses from a 2D input image sequence captured from a single camera by means of Belief Propagation in a graphical model and recognizing a finger clicking motion using a hidden Markov model. We define a graphical model with hidden nodes representing joints of a hand, and observable nodes with the features extracted from a 2D input image sequence. To track hand poses in 3D, we use a Belief Propagation algorithm, which provides a robust and unified framework for inference in a graphical model. From the estimated 3D hand pose we extract the information for each finger's motion, which is then fed into a hidden Markov model. To recognize natural finger actions, we consider the movements of all the fingers to recognize a single finger's action. We applied the proposed method to a virtual keypad system and the result showed a high recognition rate of 94.66% with 300 test data.

• The Journal of Korean Institute of Electromagnetic Engineering and Science
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• v.24 no.8
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• pp.763-771
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• 2013

In this paper, the propagation characteristics for ISM(Industrial Scientific and Medical) and TVWS(TV White Space) in indoor building environment are analyzed in comparison with theoretical and experimental results, the excellent propagation characteristics of the TVWS is confirmed. To this end, signals which have center frequencies of 503 MHz and 2.4 GHz are generated in building propagation environment. Through that, received power strength is measured according to the location and measured path loss is analyzed. Theoretical path loss is calculated using Hata, Extended Hata, Extended Hata SRD, ITU-R P.1238 and reliability for channel model in indoor environment is analyzed.

• Proceedings of the Korea Water Resources Association Conference
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• 2023.05a
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• pp.7-7
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• 2023

국내뿐만 아니라 세계적으로도 산사태 발생에 따른 토석류 피해가 빈번하게 발생하고 있으나 아직 토석류 거동에 대한 물리적인 특성을 규명하고, 실험 등을 통한 면밀한 검토가 안 되었다. 토석류는 집중호우 시 토사 내 함수량의 증가로 인해 또는 지진, 화산 발생 시 지각 변동으로 인해 사면의 저항력이 약화되어 발생한다. 이러한 토석류는 재해를 일으키는 매우 위험한 자연 현상이며, 그 규모에 따라 하류부에 큰 피해를 발생시킬 수 있다. 국내에서 수행된 토석류 관련 연구들은 해외에서 주로 수행된 기초연구 결과를 이용한 토석류 피해 발생예측, 위험지도 작성, 토석류 방지 구조물 개발 등의 응용연구가 대부분이며 소규모 모형을 제작하여 수리실험이 진행되었다. 김기환 외(2008)은 토석류 확산형태와 흐름 속도에 대한 모형실험을 수행하였으며, 김영일과 백중철(2011)은 토석류 유동과 퇴적 특성에 대한 실험을 수행하였다. 미국의 경우 미지질조사국(USGS, U.S Geological Survey)에서 1994년부터 지금까지 100 m 길이의 대형 경사수로를 이용하여 토석류 수리모형실험을 수행하고 있으며 이를 통해 토석류의 수위, 충격력, 전파속도, 유출 후 퇴적형상 등에 대한 다양한 실험데이터를 제시하고 있다. 그러나, 현재까지 국내외 토석류 실험에 대한 표준실험방법과 기준이 정립되지 않아 실험결과의 신뢰성을 명확히 증명하기 어려운 실정이다. 토석류로 인한 가장 직접적인 피해 인자인 토석류의 충격력과 전파속도를 수리모형실험을 통해 정량적으로 파악하기 위한 시험 표준으로 시험 절차, 시험 방법 및 적정한 측정장비의 사양 등을 단체표준을 통해 제공함으로써 시험의 불확실성을 최소화하고, 명확한 프로세스에 따른 시험 결과의 신뢰성과 일관성을 확보하고자 한다. 국토교통연구인프라운영원에서는 단체표준 개발을 위한 시험기관협의체를 구성하고, 이해관계인들의 의견을 반영한 토석류 충격력과 전파속도 측정방법(안)을 2022년에 7월 작성하였으며, 현재 이해관계자들의 의견을 수렴하고 중소기업중앙회에 심의를 상정한 상태이다.

• Proceedings of the IEEK Conference
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• 2007.07a
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• pp.267-268
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• 2007

A dynamic range compression algorithm using Markov random field (MRF) modeling to display high dynamic range (HDR) images on low dynamic range (LDR) devices is proposed in this work. The proposed algorithm separates foreground objects from the background using the edge information, and then compresses the color differences across the edges based on the MRF modeling. By minimizing a cost function using belief propagation, the proposed algorithm can provide an effective LDR image. Simulation results show that the proposed algorithm provides good results.

• Proceedings of the KIEE Conference
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• 2009.07a
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• pp.231_232
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• 2009

주파수는 전력품질을 평가하는 중요한 지표이다. 따라서 주파수를 일정하게 유지하면서 전력시스템의 신뢰도와 안정도를 높이는 연구가 필요하다. 따라서 본 논문에서는 ATPDraw로 구성된 한국의 765kV 송전계통을 5개 지역으로 구분하여 1개 변전소(S/S)에서 계통의 부하투입을 모의하고, 모의결과를 이용하여 4개 지역의 송전선로의 거리와 부하 용량에 따른 주파수 전파특성을 분석하였다. 분석결과 주파수 전파특성은 외란발생지점에서부터의 거리와 용량에 따라 주파수 변화가 다름을 알 수 있었다.