• 한국컴퓨터정보학회논문지
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• 제26권5호
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• pp.127-132
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• 2021

세계보건기구가 2007년도에 고령친화도시 조성에 대한 가이드라인을 제시한 이후에 전 세계적으로 고령화 사회에 대비하기 위해서 각 도시마다 고령친화도시 조성을 위한 노력들이 진행되고 있다. 이러한 시점에서 본 연구는 현재 고령친화도시로 인증 받은 자치단체와 인증을 준비하는 자치단체에 대해서 노인 1인 가구의 복지수준의 증진방안을 위한 정책적 시사점 제시를 본 연구의 목적으로 하였다. 이를 위해서 고령친화도시와 노인 1인 가구에 대한 이론적 논의를 토대로 정책적 시사점은 고령친화도시 조성의 8대 영역을 반영하는 1인 가구 노인의 주거사항, 경제사항, 건강사항, 여가 및 사회참여 사항, 등 네 가지 차원에서 정책적 반영을 제시하였다. 그리고 1인 가구 노인들의 미실태조사에 대한 한계점과 설문조사를 통한 향후 연구방향에 대해서 제시하였다.

• 한국환경복원기술학회지
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• 제1권1호
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• pp.70-83
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• 1998

With the launch of a new millenium of the 21st century ahead, one of tasks that need to be considered in urban ecological aspect is the understanding of impact of continuing urbanization on urban ecosystem, habitats, and various species of animals and plants. In addition, alternatives and measures to mitigate these impacts including environment restoration should be pursued. In this article, the following points will be reviewed; 1) the definition and significance of an eco-city and "ecological network", 2) the necessity of an eco-network as one of factors composing an eco-city, in the aspects of urban planning and urban ecology, 3) ways to build an urban ecological network and example of foreign countries, 4) as an example of a city in Korea, the present state and impending tasks of the ecological network of Seoul city, and 5) a brief conclusion and suggestion. By providing a basic tool called "an ecological network" for urban space planning, it attempts to contribute in promoting networking of cities (netropolis) and urban biodiversity. It is believed that how to create an ecological network in an artificially developed urban area is a pending issue we are faced with. Herein lies the necessity of natural environment restoration and creation based on the so-called the Third Ecology. Regarding the efforts to return the Nature to urban citizens, there is a need to view the development of a desirable urban ecological network as the starting point and finishing point of the effort. In this way, it is believed that the objectives of urban sustainability through netropolis development would also be achieved.

• 한국시뮬레이션학회논문지
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• 제27권4호
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• pp.9-18
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• 2018

본 논문에서는 우리나라 고속도로의 교통망의 연결성을 분석하기 위하여 새로운 접근성 지표의 알고리즘을 제안한다. 먼저 2011년과 2017년 우리나라의 고속도로 교통망을 그래프로 나타낸 운송네트워크를 구한다. 그리고 그래프 이론의 연결수, 비교거리, 접근지표, 연결도, 산포지수, 지름 등의 개념을 이용하여 2011년과 2017년 우리나라의 고속도로 교통망을 분석하고 비교한다. 이를 위하여 주어진 운송네트워크로부터 다양한 접근성 지표를 쉽게 얻을 수 있는 알고리즘을 제시한다. 본 연구의 시뮬레이션 결과를 이용하여 고속도로의 운송네트워크에서 교통의 중심이 되는 도시를 찾을 수 있다. 또 네트워크에는 편입되어 있지만 상대적으로 교통이 낙후된 도시를 찾아, 향후 전국의 교통의 연결성을 높이는 기초자료로 사용할 수 있도록 한다. 더욱이 고속도로 교통망을 모델로 하는 접근성 지표의 알고리즘을 제안하면 각 도시들의 접근성 공간구조를 파악할 수 있고, 교통을 포함한 각종 지역계획과정에서 효율적이고 합리적인 대안선정을 위한 기준을 제공할 수 있을 것이다.

• 농촌계획
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• 제28권2호
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• pp.11-20
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• 2022

As a portal to rural town, Myeon near large cities is expected to represent image of the rural area. But, the landscape are changing rapidly due to development pressure and to the expansion of the transportation network. For visitors and transit traffic, Recognizing that the characteristics of the streetscape is an important task for the vitalization of the rural district. In particular, it was found that the visual quantity of the central street in the location of the town was closely related to the preference of the streetscape, and the visual quantity of trees and the visual quantity of the building showed an inverse relationship of + and - respectively. Since this is not a simple ratio of the sky to the building, but a relative factor, the possibility of landscape improvement can be improved through management of public facilities or green spaces and maintenance of open spaces or gaps between buildings. It seems that it is necessary to secure separate means for the management of the architectural landscape, such as the establishment of a special landscape plan or establishment of ordinances.

• 디지털산업정보학회논문지
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• 제18권4호
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• pp.23-30
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• 2022

Recently, traffic congestion and environmental pollution have occurred due to population concentration and vehicle increase in large cities. Various studies are being conducted to solve these problems. Most of the traffic congestion in cities is caused by traffic signals at intersections. This paper proposes a dynamic traffic light control (DTLC) scheme to support safe vehicle operation and smooth traffic flow using real-time traffic information based on VANET. DTLC receives instantaneous speed and directional information of each vehicle through road side units (RSUs) to obtain the density and average speed of vehicles for each direction. RSUs deliver this information to traffic light controllers (TLCs), which utilize it to dynamically control traffic lights at intersections. To demonstrate the validity of DTLC, simulations were performed on average driving speed and average waiting time using the ns-2 simulator. Simulation results show that DTLC can provide smooth traffic flow by increasing average driving speed at dense intersections and reducing average waiting time.

• 한국수자원학회:학술대회논문집
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• 한국수자원학회 2022년도 학술발표회
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• pp.136-136
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• 2022

This study investigates the possibility of coupling empirical mode decomposition (EMD) for runoff prediction from machine learning (ML) models. Here, support vector regression (SVR) and convolutional neural network (CNN) were considered for ML algorithms. Precipitation (P), minimum temperature (Tmin), maximum temperature (Tmax) and their intrinsic mode functions (IMF) values were used for input variables at a monthly scale from Jan. 1973 to Dec. 2020 in the Grand river basin, Canada. The support vector machine-recursive feature elimination (SVM-RFE) technique was applied for finding the best combination of predictors among input variables. The results show that the proposed method outperformed the individual performance of SVR and CNN during the training and testing periods in the study area. According to the correlation coefficient (R), the EMD-SVR model outperformed the EMD-CNN model in both training and testing even though the CNN indicated a better performance than the SVR before using IMF values. The EMD-SVR model showed higher improvement in R value (38.7%) than that from the EMD-CNN model (7.1%). It should be noted that the coupled models of EMD-SVR and EMD-CNN represented much higher accuracy in runoff prediction with respect to the considered evaluation indicators, including root mean square error (RMSE) and R values.

• Asian Journal of Atmospheric Environment
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• 제10권2호
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• pp.67-79
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• 2016

The forecasting of air pollution is an important and popular topic in environmental engineering. Due to health impacts caused by unacceptable particulate matter (PM) levels, it has become one of the greatest concerns in metropolitan cities like Karaj City in Iran. In this study, the concentration of $PM_{2.5}$ was predicted by applying a multilayer percepteron (MLP) neural network, a radial basis function (RBF) neural network and a Markov chain model. Two months of hourly data including temperature, NO, $NO_2$, $NO_x$, CO, $SO_2$ and $PM_{10}$ were used as inputs to the artificial neural networks. From 1,488 data, 1,300 of data was used to train the models and the rest of the data were applied to test the models. The results of using artificial neural networks indicated that the models performed well in predicting $PM_{2.5}$ concentrations. The application of a Markov chain described the probable occurrences of unhealthy hours. The MLP neural network with two hidden layers including 19 neurons in the first layer and 16 neurons in the second layer provided the best results. The coefficient of determination ($R^2$), Index of Agreement (IA) and Efficiency (E) between the observed and the predicted data using an MLP neural network were 0.92, 0.93 and 0.981, respectively. In the MLP neural network, the MBE was 0.0546 which indicates the adequacy of the model. In the RBF neural network, increasing the number of neurons to 1,488 caused the RMSE to decline from 7.88 to 0.00 and caused $R^2$ to reach 0.93. In the Markov chain model the absolute error was 0.014 which indicated an acceptable accuracy and precision. We concluded the probability of occurrence state duration and transition of $PM_{2.5}$ pollution is predictable using a Markov chain method.

• 한국경제지리학회지
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• 제15권1호
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• pp.116-130
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• 2012

성장동력산업의 육성 정책에 따라 부가가치가 높은 산업을 광역 경제권단위에서 육성하는 정책이 진행되고 있다. 이 분석의 목적은 창조산업의 대표적 분야인 디자인산업을 발전시키고 있는 지식을 기반으로 한 네트워크의 공간적 특성과 기관별 네트워크 구조를 도출하고, 2000년에서 2010년까지의 시간적 변화에 초점을 두어 분석함으로서 앞으로 나아가야 할 방안을 모색해 보고자한다. 먼저 전국 디자인산업의 변화와 시도별 광역별 성장을 살펴보고 심층인터뷰를 실시하여 기관별 네트워크 현황을 파악하였다. 이를 기반으로 디자인산업과 관계된 공동연구 데이터를 가공하여 구조적, 공간적, 시간적인 측면을 고려하여 종합적인 판단으로 공간적 특성과 기관별 네트워크 구조의 변화에 대해 분석하였다. 또한 그룹분석에 활용되는 지표를 이용하여 네트워크의 밀도, 링크수, 집중도를 기준으로 다른 그룹과 상대적으로 변화하는 하는 과정을 비교 분석하였다.

• 한국철도학회:학술대회논문집
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• 한국철도학회 2008년도 춘계학술대회 특별세미나.특별세션
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• pp.27-41
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• 2008

Construction of metro transportation infra is a large-scale project requiring tremendous financial resources. This study suggests operation method to use for rapid transit line existing infra such as Gyeongbu line and spare line capacity following second phase KTX construction. Reviewing various constraints of metro rapid transit operation, we found that the conditions for metro rapid transit operation are already satisfied in Daegu area, just like the case of Gyeongbu line in Seoul Metro area. Also, the evaluation of the economic feasibility of metro rapid transit operation in Daegu area shows that B/C is about 2.4, which implies that there is sufficient economic feasibility. According to the result of sensitivity analysis, the project is economically feasible unless the passenger demand decreases 15% and construction costs increases more than 70%. B/C is evaluated large because the utilization of already exiting infra lowers the initial cost. As one of mass transportation system of large capacity, metro rapid transit can generate significant spillover effect: It will strengthen competitiveness of metro area by connecting cities within the area and by extending one-day life zone of the area, to say nothing of the benefit of improving traffic condition. The construction of metro rapid transit network is necessary for the mass transportation system of Yeongnam area as well as Daegu area, and it may work as a starting point for uniting Daegu and Gyeongbuk and strengthening regional competitiveness.

• 한국조경학회지
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• 제31권2호
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• pp.48-57
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• 2003

The objective of this study is to review and verify whether the functions and effect of roadside trees generally hewn in theory are actually realized in urban roads and how well they are performed if the function and effect are realized. The study was conducted with a focus on 3 functions and effects including roadside tree's urban landscape improvement function (green area visibility ratio), effect of introducing green area within a city, and urban green network building function. The major study results are as follows: First, the average green area visibility ratio of 41 study areas is currently about 25.90%. The green area visibility ratio of commercial area within downtown was lowest among 5 road types. It showed that it is possible to raise the average green area visibility ratio up to 32.49% through roadside tree management and additional plantation. Second, in a section between Paldal Mountain and Suwon City Hall where there is no forest fragments and parks at all, a green area of 4,826 roadside trees represented 2.4% of total area and served as the only linear green area. Third, an analysis of 15 cities in Kyonggi province showed that urban forests are concentrated in outskirts. The suey showed that because forest fragments and parks exist in a form of points in urban areas, roadside trees are the only green areas that link each other and build a network.