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한국 전통담장 및 화계조성 사례 연구 : 상명대 도서관 중정을 중심으로 Base on the Gardening of Sang Myung University Library court
유경상,백난영,이재근 한국정원학회 2002 한국전통조경학회지 Vol.20 No.3
Many studies have been conducted under the grand title as modernization of traditional landscape archit-ectures and there is also growing number of sites where the techniques of traditional landscape architecture have actually been tried. But conventional studies concentrated mainly in theoretical studies of "Kotdam(beautiful wall)", due to its title and scarcity. The studied on the detailed construction methods have been neglected. And what is worse, the wall usually is implamented by the architectural drawing. In the case, due to increase in ghe expenses, the building companies either reduce the size or substituted it with different structures. Thus, in the study, though stuctural issues may be solved with modern methods, it focused on expression of traditional pattern for architectural value and used tile type attaching method which resulted in signif-icant reduction of costs. As a result of the study, efficient way to build traditional pattern of Kotdom is suggested in attaching concept figure, standard model and standard Pumseom(quantity manpower spent per unit).
독립형 마이크로그리드 모델링 및 EV 수용성 향상 방안
유경상,부창진,김호찬 대한전기학회 2024 전기학회논문지 Vol.73 No.1
In a stand-alone microgrid including diesel generators, solar power, wind power generators, energy storage systems (ESS), and electric vehicles (EV), we model microgrid using Matlab/Simulink software, and calculate the maximum number of connected EVs to improve hosting capacity. This paper presents a method to improve EV hosting capacity through voltage characteristics on each line according to the installation location of ESS in a stand-alone microgrid.
Frequency Design in Urban Transit Networks with Variable Demand: Model and Algorithm
유경상,김동규,전경수 대한토목학회 2010 KSCE JOURNAL OF CIVIL ENGINEERING Vol.14 No.3
The goal of this study is to present a methodology for modeling the transit frequency design problem with variable demand. A bilevel optimization model based on a non-cooperative Stackelberg game is used to describe the problem. The upper-level operator problem is formulated as a non-linear optimization model to maximize demand while considering fleet size and frequency constraints. The lower-level user problem is formulated as a capacity-constrained stochastic user equilibrium assignment model with variable demand, considering transfer delays between transit lines. An efficient algorithm is also developed for solving the proposed model. The upper-level model is solved by a gradient projection method. The gradient of the objective function is calculated at each iteration considering the fixed equilibrium overload delays determined by the lower-level model. The lower-level model is solved by an extant iterative balancing method, which was slightly modified for this study. An application of the proposed model and algorithm is presented using a small test network. The results of this application show that the developed algorithm converges well to an optimal point.
Transfer Penalty Estimation with Transit Trips from Smartcard Data in Seoul, Korea
유경상 대한토목학회 2015 KSCE JOURNAL OF CIVIL ENGINEERING Vol.19 No.4
Smartcard data from an automated fare collection system could be very useful to transit planners and researchers in several areas, such as day-to-day operation planning, transit performance measurement and passenger behavior analysis. Transfer penalties, in this paper, are assessed with a mixed logit model based on smartcard data in Seoul, South Korea, where more than 90% of transit passengers use smartcards to pay transit fares. The estimated average transfer penalty for trips to south and north CBD within Seoul is 11.24 minutes of in-vehicle time, whereas the regional transfer penalty varies widely from 1.16 minutes to 13.55 minutes of invehicle time across the districts. We also found that Seoul transit passengers have a more negative perception of transfer time relative to in-vehicle time when they travel to north CBD than to south CBD.