• 대한전기학회:학술대회논문집
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• 대한전기학회 2006년도 추계학술대회 논문집 전력기술부문
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• pp.63-65
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• 2006

These days, it is not easy to construct the transmission line because of the environmental association activity, a civil appeal, etc. To solve these kinds of difficulties, the program with leading-edge IT technology, such as GIS, 3 dimensions CAD, computer graphic, etc., is developed to be more transparent and objective in the design stage of the transmission line and the selection stage of the transmission line route. Comparing this program with previous methods, this program is composed of the environmental evaluation program, data producing program for analysis and selecting line route program because it is not possible to conduct those kinds of work without any help from the computer and well-developed program. To confirm the performance of the program, the result from the program and the human were compared. Therefore, the result from the program was same as the result conducted by human. In addition, the program makes the selection of the transmission line route easier by checking the mountainside, lumbering, the estimated cost of the tower construction, etc. in real-time.

• 정보통신설비학회논문지
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• 제10권4호
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• pp.143-147
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• 2011

The system using augmented reality can save the time and cost. It is verified in various fields under the possibility of a technology by solving unrealistic feeling in the virtual space. Therefore, augmented reality has a variety of the potential to be used. Generally, multimodal senses such as visual/auditory/tactile feed back are well known as a method for enhancing the immersion in case of interaction with virtual object. By adapting tangible object we can provide touch sensation to users. a 3D model of the same scale overlays the whole area of the tangible object; thus, the marker area is invisible. This contributes to enhancing immersive and natural images to users. Finally, multimodal feedback also creates better immersion. In this paper, sound feedback is considered. By further improving immersion learning augmented reality for children with the initial step learning content is presented. Augmented reality is in the intermediate stages between future world and real world as well as its adaptability is estimated more than virtual reality.

• 한국철도학회:학술대회논문집
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• 한국철도학회 2007년도 추계학술대회 논문집
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• pp.395-400
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• 2007

LRT(Light Railway Train), which is a intermediate system of train and bus, is arose for the solution of subway construction cost and the transportation capacity of bus. LRT was introduced in 1980's. About 30 local governments are plan to introduce LRT or constructing LRT, at present. AGT(Automated Guide-way Transit) system, which is a kind of LRT, is operated without driver. Rubber wheeled AGT system can reduce the noise and vibration compare to steel wheeled AGT, so it is estimated as ideal transportation system for urban area. And live loads at bridge are classified as the static load of vehicle and the dynamic wheel contact load which is occurred from the interaction of bridge and vehicle vibration, and the surface roughness. In the case of AGT system, the dynamic increment factor of bridge is greater than the normal train bridge and roadway bridge, because, the weight of AGT vehicle is more light that the train of truck. The exact method for dynamic increment factor is experiment. But this method is needed much money and time, moreover, this method cannot be adopted in design. Therefore, a simulation program for the interaction of AGT bridge, vehicle and surface roughness was developed, in this study. And the program was verified by experiment. As a result, the accuracy of the simulation program can be verified.

• 한국지열·수열에너지학회논문집
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• 제12권4호
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• pp.33-39
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• 2016

A ground source heat pump (GSHP) system is recommended as a heating and cooling system to solve the pending energy problem in the field of air conditioning, because it has the highest efficiency. However, higher initial construction cost works as a barrier to the promotion and dissemination of GSHP system. In this study, numerical analysis on the characteristics of high density polyethylene (HDPE) pipe with spiral inside was executed. The heat transfer and flow characteristics of it were compared with those of a conventional smooth HDPE pipe. The heat transfer coefficient and pressure drop of the spiral HDPE pipe were higher than those of the smooth HDPE pipes at the same fluid flow rate. By decreasing the flow rate, the spiral HDPE pipe represented similar values of heat transfer coefficient and pressure drop to the smooth HDPE pipe. The lower flow rate of the spiral HDPE pipe comparing with it of the smooth HDPE pipe is estimated to reduce the length of the ground loop heat exchanger.

• 한국조명전기설비학회:학술대회논문집
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• 한국조명전기설비학회 2008년도 추계학술대회 논문집
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• pp.169-172
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• 2008

Recently, landscape lighting is more and more installing in many places such as park, cultural heritages, large-scale structures, bridges, apartment, and so on. However, there is no the government-set official estimation for standard wages constructing luminaries for landscape lighting. The cost of construction is estimated based on the standard wages of related-similar installations such as internal lighting fixtures or the designer's subjective decision. Sometimes, it is overestimated or underestimated. In this paper, the fundamental process for estimating the standard wages constructing luminaries for landscape lighting is studied. The estimation method of standard wages constructing lighting fixtures was examined on the basis of the type and capacities of luminaries, installation places, type and shapes of installation auxiliary materials, worker's skill, and etc. As a result, some results obtained in this work were significantly, different with the standard wages for internal electric wiring published by Korea Electric Association. In the future, to improve the accuracy of the estimation of the standard wages for constructing luminaries for landscope lighting, detailed factors related to the installation condition and dimensions and types of luminaries should be considered.

• 설비공학논문집
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• 제23권2호
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• pp.164-171
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• 2011

The objectives of this study are to propose a suitable treatment facility for waste energy recovery after analyzing the waste generation and disposal situation in Jejudo, to establish the plan to install the solar photovoltaics and wind power plant considering the site conditions and finally to establish the environmental energy town plan in conjunction with the existing facilities. The food waste biogas plant is selected as the treatment capacity of 200 ton/day. It is estimated that the biogas plant will produce the electricity of 7,594 MWh per year, which will reduce the greenhouse gas of 4,177 $tCO_2$ per year. The solar photovoltaics and wind power plant will produce the electricity of 13,410 MWh per year, which will reduce the greenhouse gas of 7,375 $tCO_2$ per year. Environmental energy town will give us the reduction of operating cost by centralized treatment of residues and byproducts, and by efficient utilization of produced energy.

• Journal of information and communication convergence engineering
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• 제11권1호
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• pp.30-44
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• 2013

Traffic congestion has become a serious problem with the recent exponential increase in the number of vehicles. In urban areas, almost all traffic congestion occurs at intersections. One of the ways to solve this problem is road expansion, but it is difficult to realize in urban areas because of the high cost and long construction period. In such cases, traffic signal control is a reasonable method for reducing traffic jams. In an actual situation, the traffic flow changes randomly and its randomness makes the control of traffic signals difficult. A prediction of traffic jams is, therefore, necessary and effective for reducing traffic jams. In addition, an autonomous distributed (stand-alone) point control of each traffic light individually is better than the wide and/or line control of traffic lights from the perspective of real-time control. This paper describes a stochastic optimum control of crossroads and multi-way traffic signals. First, a stochastic model of traffic flows and traffic jams is constructed by using a Bayesian network. Secondly, the probabilistic distributions of the traffic flows are estimated by using a cellular automaton, and then the probabilistic distributions of traffic jams are predicted. Thirdly, optimum traffic signals of crossroads and multi-way intersection are searched by using a modified particle swarm optimization algorithm to realize real-time traffic control. Finally, simulations are carried out to confirm the effectiveness of the real-time stochastic optimum control of traffic signals.

• 한국철도학회논문집
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• 제10권5호
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• pp.487-491
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• 2007

고속철도 건설시, 선로 중심 간격 및 시공기면폭의 감소는 건설비용의 절감을 가져온다. 그러나, 선로 중심 간격의 축소는 열차 주행 풍압의 증가의 여러가지 안전성 문제를 야기할 수 있으므로 기술적 검토와 공기역학적 연구가 수행되어야 한다. 본 연구에서는 호남 고속철도에 적합한 선로 중심간격을 검토하는데 필요한 차량 주행 안정성을 해석하기 위하여 선로 중심간격 변화로 인한 교행 열차 풍압을 예측하였으며, 이를 실차 실험 결과를 토대로 공력영향을 평가하였다.

• 한국철도학회논문집
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• 제11권6호
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• pp.575-580
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• 2008

고속철도 건설시, 선로중심 간격 및 시공기면폭의 감소는 건설비용의 절감을 가져온다. 그러나, 선로중심 간격의 축소는 열차 주행 풍압의 증가로 여러 가지 안전성 문제를 야기 할 수 있으므로 기술적 검토와 공기역학적 연구가 수행되어야 한다. 본 연구에서는 호남고속철도에 적합한 선로 중심간격을 검토하는데 필요한 차량 주행 안전성을 해석하기 위하여 선로중심 간격 변화로 인한 교행 열차 풍압을 예측하였으며, 이를 선로변 현장 실험 결과를 토대로 공력 영향을 평가하였다.

• 산업경영시스템학회지
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• 제40권4호
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• pp.253-259
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• 2017

Recent development in science and technology has modernized the weapon system of ROKN (Republic Of Korea Navy). Although the cost of purchasing, operating and maintaining the cutting-edge weapon systems has been increased significantly, the national defense expenditure is under a tight budget constraint. In order to maintain the availability of ships with low cost, we need accurate demand forecasts for spare parts. We attempted to find consumption pattern using data mining techniques. First we gathered a large amount of component consumption data through the DELIIS (Defense Logistics Intergrated Information System). Through data collection, we obtained 42 variables such as annual consumption quantity, ASL selection quantity, order-relase ratio. The objective variable is the quantity of spare parts purchased in f-year and MSE (Mean squared error) is used as the predictive power measure. To construct an optimal demand forecasting model, regression tree model, randomforest model, neural network model, and linear regression model were used as data mining techniques. The open software R was used for model construction. The results show that randomforest model is the best value of MSE. The important variables utilized in all models are consumption quantity, ASL selection quantity and order-release rate. The data related to the demand forecast of spare parts in the DELIIS was collected and the demand for the spare parts was estimated by using the data mining technique. Our approach shows improved performance in demand forecasting with higher accuracy then previous work. Also data mining can be used to identify variables that are related to demand forecasting.