• Korean Journal of Health Education and Promotion
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• v.30 no.2
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• pp.93-103
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• 2013

Objectives: This study was to compare two healthy cities, Liverpool in England and Wonju in Korea, which evaluated healthy city projects and to reorient evaluation strategy which fits into Korean Healthy cities. Methods: Comparatives analysis was used by reviewing documents, healthy city plan and evaluation report, of two cities. Results: Healthy city projects in two cities, fifteen programs were identical items among twenty-seven but there were differences in seven items for Liverpool and five items for Wonju. In Liverpool evaluation was done by a stakeholder group called Liverpool Local Involvement Network(LINK), while in Wonju by Yonsei Healthy City Research Center. The evaluation tool was two types; quantitative and qualitative analysis. Liverpool mostly used qualitative and added quantitative, vice versa in Wonju. Conclusions: Evaluation plan for Healthy city projects need to be made in the first phase of the projects, instead of in the end. Moreover, it is important to include stakeholder in conducting qualitative analysis for unquantifiable evidence of effectiveness, as well as quantitative analysis.

• Proceedings of the Korean Institute of Navigation and Port Research Conference
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• 2018.05a
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• pp.55-56
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• 2018

In order to construct an efficient monitoring system for major port cities in Korea, the first step to build and manage related laws and institutional infrastructure with strengthen the cooperation of the relevant agencies, regional port authorities, and port corporations. Second, for the management of air pollutants emitted by ports, a management system should be established through systematic inventory source inventory and real-time monitoring system. Third, active countermeasures should be established to reduce the emission of air pollutants by sources such as ships, harbor equipment, and trucks. This will improve the air quality of major port cities and move them to clean port cities.

• Journal of the Architectural Institute of Korea Planning & Design
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• v.34 no.4
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• pp.69-76
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• 2018

The purpose of this study is to propose and verify a spatial network construction method that integrated roads and subway lines to improve the predictability of the urban spatial analysis model. The existing axial map for urban spatial analysis did not reflect the subway line that serves as an important moving space in modern cities. To improve this axial map, proposed a Ground-Underground Spatial Network by integrating the underground spatial network with the axial map. As a result of the integration analysis, the Ground-Underground Spatial Network(GUSN) were similar to the movement frequency. Correlation of GUSN was 0.723, which showed higher explanatory power than correlation coefficient of 0.575 in axial map. The result of this study is expected to be a theoretical basis for constructing spatial network in urban space analysis with subway.

• 제어로봇시스템학회:학술대회논문집
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• 2001.10a
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• pp.169.5-169
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• 2001

This study proposes a neural network for solving optimization problems such as the TSP (Travelling Salesman Problem), scheduling, and line balancing. The Hopfield network has been used for solving such problems, but it frequently gives abnormal solutions or non-optimal ones. Moreover, the Hopfield network takes much time especially in solving large size problems. To overcome such disadvantages, this study adopts nodes whose outputs changes with a fixed value at every evolution. The proposed network is applied to solving a TSP, finding the shortest path for visiting all the cities, each of which is visted only once. Here, the travelling path is reflected to the energy function of the network. The proposed network evolves to globally minimize the energy function, and a ...

• International Journal of Computer Science & Network Security
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• v.23 no.8
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• pp.95-100
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• 2023

Due to Traffic accidents people faces health and economical casualties around the world. As the population increases vehicles on road increase which leads to congestion in cities. Congestion can lead to increasing accident risks due to the expansion in transportation systems. Modern cities are adopting various technologies to minimize traffic accidents by predicting mathematically. Traffic accidents cause economical casualties and potential death. Therefore, to ensure people's safety, the concept of the smart city makes sense. In a smart city, traffic accident factors like road condition, light condition, weather condition etcetera are important to consider to predict traffic accident severity. Several machine learning models can significantly be employed to determine and predict traffic accident severity. This research paper illustrated the performance of a hybridized neural network and compared it with other machine learning models in order to measure the accuracy of predicting traffic accident severity. Dataset of city Leeds, UK is being used to train and test the model. Then the results are being compared with each other. Particle Swarm optimization with artificial neural network (PSO-ANN) gave promising results compared to other machine learning models like Random Forest, Naïve Bayes, Nearest Centroid, K Nearest Neighbor Classification. PSO- ANN model can be adopted in the transportation system to counter traffic accident issues. The nearest centroid model gave the lowest accuracy score whereas PSO-ANN gave the highest accuracy score. All the test results and findings obtained in our study can provide valuable information on reducing traffic accidents.

• Journal of KIBIM
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• v.5 no.1
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• pp.54-62
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• 2015

The Cities that recently developed have been applied to private network for establishing information communication network system. The local governments planning or pursuing U-City construction should also choose the private network in consideration of operation and maintenance. In viewpoint of agency operating u-City, it is necessary to integrate traditional and new network. However, there has been lack of guides to choose U-City network considering the economic analysis between private and leased network. This study analyzed the characteristics of private and leased network, and the cost-benefit by estimating the network cost and communication demand focused on U-services that are recently applied. This study purpose a guide for efficient U-City information network selected by estimating ROI(Return On Investment) and BEP(Break Even Point) for establishing private and leased network.

• Proceedings of the Korea Water Resources Association Conference
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• 2004.05b
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• pp.917-921
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• 2004

• Journal of Family Resource Management and Policy Review
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• v.10 no.3
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• pp.97-111
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• 2006

The objective of this research is to analyze how main social relation network of middle-aged women such as family, friends and neighbors, etc affects the preference for silver town. For this objective, structured questionnaires were distributed to 309 middle-aged women at the age of 40-59 years old living in Seoul and new cities of metropolitan area. Statistics such as ANOVA, Pearson Coefficient and Multiple Regression were adopted for statistical analysis. The main result of this research is as follows: First, housewives showed higher preference for silver town than people involved in other occupations. Second, though the relation of friends and neighbors among the social relation network of middle-aged women affected the preference for silver town, that of family did not affect significantly. The result of this research suggests that it is necessary to adopt policy considering the relation of friends and neighbors among the social relation network of middle-aged women so as to activate silver town.

• Journal of the Korean Society of Environmental Restoration Technology
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• v.18 no.5
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• pp.49-59
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• 2015

In this research, the connectivity status between natural environment (forests and rivers) and urban parks in view of ecological networks in a city is evaluated and on the basis of these evaluation results, a future connectivity enhancing recommendations are suggested. As a result, the 96.8% of the connectivity role of the neighborhood parks were core or connected parks and as in terms of the ecological pattern on the outer park, 84.1% of the case neighborhood parks were connected to the ecological element at least one side. Therefore, it can be expected to play a role as corridor that enables the direct connection with the natural environment if the connection plan is well established. As a result of connectivity evaluation of the parks, inside of the parks had low ecological element overall and had low connectivity, outside of the parks had 1.5 times more of low connectivity parks than high connectivity parks, and had similar disconnections such as facilities(fence, soundproof walls, breast walls, etc.), developments(roads, apartment complexes, industrial complexes, etc.), or poor greens regardless of the neighborhood with the ecological elements. To increase the connectivity of ecological network, the cities already built shall secure primarily green territory where can connect with the isolated park due to the surrounding with the developing areas and when planning for new cities or residential complexes, it shall establish a connection plan with the nearby at the beginning.

• Journal of the Korean Society of Environmental Restoration Technology
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• v.17 no.3
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• pp.1-11
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• 2014

Recently, major cities in Korea are suffering from frequent urban flooding caused by heavy rainfall. Such urban flooding mainly occurs due to the limited design capacity of the current drainage network, which increases the vulnerability of the cities to cope with intense precipitation events brought about by climate change. In other words, it can be interpreted that runoff exceeding the design capacity of the drainage network and increased impervious surfaces in the urban cities can overburden the current drainage system and cause floods. The study presents the green roof as a sustainable solution for this issue, and suggests the pre-design using the LID controls model in SWMM to establish more specific flood prevention system. In order to conduct the computer simulation in connection with Korean climate, the study used the measured precipitation data from Cheonan Station of Korea Meteorological Administration (KMA) and the forecasted precipitation data from RCP 8.5 scenario. As a result, Extensive Green Roof System reduced the peak runoff by 53.5% with the past storm events and by 54.9% with the future storm events. The runoff efficiency was decreased to 4% and 7%. This results can be understood that Extensive Green Roof System works effectively in reducing the peak runoff instead of reducing the total stormwater runoff.