• The Journal of the Korea Contents Association
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• v.12 no.12
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• pp.447-458
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• 2012

The purpose of this paper is to introduce a design method to making characterized street for city regeneration and strategy for regional activation through making characterized street. For this purpose we analyze a case of 'Bosu-dong Book Street' in the city of Busan with compared to the cases of 'Hay on wye' in UK and 'Kanda old book street' in Japan. We have some suggestions from this analysis as follows; 1. Connection with tourism and publication industry is needed for regional economic vitality and urban regeneration. And Both of Softwares and Hardwares those are based on local identity are needed to be developed as contents of the street, 2. Merchants and Residents have to take the leading part and public authority is need to support them as street makers. 3. Sustainable participation and efforts of the community leaded by merchants and residents are needed in the whole process of making characterized street such as making, operating and management of hardware & software.

• Journal of Power System Engineering
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• v.13 no.2
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• pp.56-62
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• 2009

The fatalities of pedestrian account for about 40.0% of all fatalities in Korea 2005. Vehicle-Pedestrian accident generates trajectory of pedestrian. In pedestrian involved accident, the most important data to inspect accident is throw distance of pedestrian. The throw distance of pedestrian can be influenced by many variables. But existing studies have been done for simple factors. The variables that influence trajectory of pedestrian can be classified into vehicular factors, pedestrian factors, and road factors. The trajectory of pedestrian, dynamic characteristics of multi-body were analyzed by PC-CRASH, a kinetic analysis program for a traffic accident. PC-CRASH enables an analyst to investigate the effect of many variables. The influence of the offset of impact point was analyzed by Working Model. Based on the results, the variables that influence trajectory of pedestrian were vehicular frontal shape, vehicular impact speed, the offset of impact point, the height of pedestrian, friction coefficients of pedestrian. However the weight of pedestrian did not affect trajectory of pedestrian considerably.

• The Journal of the Acoustical Society of Korea
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• v.18 no.4
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• pp.31-37
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• 1999

A bimodal speech recognition using visual and audio information has been proposed and researched to improve the performance of ASR(Automatic Speech Recognition) system in noisy environments. The integration method of two modalities can be usually classified into an early integration and a late integration. The early integration method includes a method using a fixed weight of lip parameters and a method using a variable weight according to speech SNR information. The 4 late integration methods are a method using audio and visual information independently, a method using speech optimal path, a method using lip optimal path and a way using speech SNR information. Among these 6 methods, the method using the fixed weight of lip parameter showed a better recognition rate.

• Journal of the Korean Society of Manufacturing Process Engineers
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• v.6 no.3
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• pp.105-111
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• 2007

The type of pedestrian accident can be characterized by vehicular frontal shape and the height of pedestrian. The trajectory of pedestrian after collision by passenger car is different from that by bus due to vehicular frontal shape. The frontal shape of SUV vehicles is dissimilar to passenger car and bus. So, the trajectory and throw distance of pedestrian by SUV vehicles is not the same of passenger car and bus. In this paper, a series of pedestrian kinetic simulation were conducted to inspect the difference in throw distance between SUV vehicle and passenger car and bus by PC-CRASH that is the program for kinetic analysis of articulated body. From the results, if the height of pedestrian is taller than 1.70m, there is no difference in throw distance between SUV vehicle and passenger car, but if the height of pedestrian is about 1.55m throw distance of SUV vehicle is about 4m longer than that of passenger car at each impact speed. The throw distance of pedestrian by Bus is shorter than that of passenger car and SUV at each impact speed.

• Proceedings of the Korea Electromagnetic Engineering Society Conference
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• 2003.11a
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• pp.541-545
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• 2003

본 논문에서는 하나의 급전소자와 두개의 무급전 소자로 구성된 전 후방 지향성을 가진 비행체 탑재 능동 빔 조향 프린트형 야기-우다 안테나를 설계, 제작하였다. 제작된 안테나는 두개의 무급전 소자에 부착된 칩다이오드의 간단한 스위칭 작용(Open, Short)으로 지향성 다이버시티를 구현하였다. 그리고 모노폴 급전 소자와 두개의 무급전 소자와의 거리를 변화시켜 상호 임피던스의 영향이 고려된 최대 전.후방비를 찾았다. 중심주파수 1.81 GHz에서 모노폴 급전소자와 무급전소자간의 간격이 $0.25{\lambda}$일 때, 26.6 dB의 최대 전.후방비(Open-Short 또는 Short-Open)특성이 나타내었다. 이를 통해 후방에 있는 지상 통제소와 미사일의 비행 방향에 관계없이 교신 가능한 수신 레벨을 유지 할 수 있음을 확인하였다.

• Proceedings of the Korean Institute of Information and Commucation Sciences Conference
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• 2014.10a
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• pp.759-762
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• 2014

비대칭 이중게이트(double gate; DG) MOSFET는 단채널 효과를 감소시킬 수 있는 새로운 구조의 트랜지스터이다. 본 연구에서는 비대칭 DGMOSFET의 전도중심에 따른 차단전류를 분석하고자 한다. 전도중심은 채널 내 캐리어의 이동이 발생하는 상단게이트에서의 평균거리로써 상하단 게이트 산화막 두께를 달리 제작할 수 있는 비대칭 DGMOSFET에서 산화막 두께에 따라 변화하는 요소이며 상단 게이트 전압에 따른 차단전류에 영향을 미치고 있다. 전도중심을 구하고 이를 이용하여 상단 게이트 전압에 따른 차단전류를 계산함으로써 전도중심이 차단전류에 미치는 영향을 산화막 두께 및 채널길이 등을 파라미터로 분석할 것이다. 차단전류를 구하기 위하여 포아송방정식으로부터 급수 형태의 해석학적 전위분포를 유도하였다. 결과적으로 전도중심의 위치에 따라 차단전류는 크게 변화하였으며 이에 따라 문턱전압 및 문턱전압이하 스윙이 변화하는 것을 알 수 있었다.

• Journal of the Korean Society of Marine Environment & Safety
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• v.27 no.1
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• pp.22-28
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• 2021

This is a basic study on the development of deep learning-based algorithms to detect smoke before the smoke detector operates in the event of a ship fire, analyze and utilize the detected data, and support fire suppression and evacuation activities by predicting the spread of smoke before it spreads to remote areas. Proposed algorithms were reviewed in accordance with the following procedures. As a first step, smoke images obtained through fire simulation were applied to the YOLO (You Only Look Once) model, which is a deep learning-based object detection algorithm. The mean average precision (mAP) of the trained YOLO model was measured to be 98.71%, and smoke was detected at a processing speed of 9 frames per second (FPS). The second step was to estimate the spread of smoke using the coordinates of the boundary box, from which was utilized to extract the smoke geometry from YOLO. This smoke geometry was then applied to the time series prediction algorithm, long short-term memory (LSTM). As a result, smoke spread data obtained from the coordinates of the boundary box between the estimated fire occurrence and 30 s were entered into the LSTM learning model to predict smoke spread data from 31 s to 90 s in the smoke image of a fast fire obtained from fire simulation. The average square root error between the estimated spread of smoke and its predicted value was 2.74.

• Proceedings of the Korean Institute of Information and Commucation Sciences Conference
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• 2011.05a
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• pp.702-705
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• 2011

Poly-Si wafers with resistivity of 1 [${\Omega}$-cm[ and thickness of 50 [${\mu}m$] were used as a starting material. Various efficiency influencing parameters such as rear surface recombination velocity and minority carrier diffusion length in the base region, front surface recombination velocity, junction depth and doping concentration in the Emitter layer, BSF thickness and doping concentration were investigated. Optimized cell parameters were given as rear surface recombination of 1000 [cm/sec], minority carrier diffusion length in the base region 50 [${\mu}m$], front surface recombination velocity 100 [cm/sec], sheet resistivity of emitter layer 100 [${\Omega}/{\Box}$], BSF thickness 0.5 [${\mu}m$], doping concentration $5{\times}10^{19}\;cm^{-3}$. Among the investigated variables, we learn that a diffusion length of base layer acts as a key factor to achieve conversion efficiency higher than 19.8 %. Further details of simulation parameters and their effects to cell characteristics are discussed in this paper.

• Journal of Korean Society for Geospatial Information Science
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• v.19 no.2
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• pp.63-73
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• 2011

The Pseudorange Corrections (PRC), which are used in DGPS as calibration messages, can contain outliers, noise, and anomalies, and these abnormal events are unpredictable. When those irregular PRC are used, the positioning error gets higher. In this paper, we propose a strategy of detecting and correcting outliers, noise, and anomalies by modeling the changing pattern of PRC through polynomial curve fitting techniques. To validate our strategy, we compared positioning errors obtained without PRC calibation with those with PRC calibration. As a result, we found that our algorithm performs very well; the horizontal RMS error was 3.84 m before the correction and 1.49 m after the correction.

• Proceedings of the KSR Conference
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• 2011.10a
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• pp.1943-1952
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• 2011

Rail vehicle brakes partly or completely transform the kinetic energy of moving vehicles into other forms of energy, in order to reduce the speed, and if necessary to bring them to a halt. To fulfil these requirements, the effect of a certain brake force is necessary and especially it is considered that the brake force is a important device to rail vehicles as a mass transit. The brake distance is a criterion for measuring brake force. The brake force is measured via dozens of brake distance test before its service operation. The brake distance is influenced by cars and rail conditions; weight of cars, speed on the verge of braking, temperature of brake disk and condition of the upper side of rail, etc. Therefore we will study how the these factors impact with the brake distance via a real test results.