• Journal of the Society of Disaster Information
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• v.20 no.2
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• pp.339-350
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• 2024

Purpose: This study analyzes accessibility of 10 hydrogen charging stations in Seoul and identifies areas that were difficult to access. The purpose is to re-analyze accessibility by adding a new location in terms of equity and safety of location placement, and then draw implications by comparing the improvement effects. Method: By applying the location-allocation model and the service area model based on network analysis of the ArcGIS program, areas with weak access were identified. The location selection method applied the 'Minimize Facilities' method in consideration of the need for rapid arrival to insufficient hydrogen charging stations. The limit distance for arrival within a specific time was analyzed by applying the average vehicle traffic speed(23.1km/h, Seoul Open Data Square) in 2022 to three categories: 3,850m(10minutes), 5,775m(15minutes), 7,700m(20minutes). In order to minimize conflicts over the installation of hydrogen charging stations, special standards of the Ministry of Trade, Industry and Energy applied to derive candidate sites for additional installation of hydrogen charging stations among existing gas stations and LPG/CNG charging stations. Result: As a result of the analysis, it was confirmed that accessibility was significantly improved by installing 5 new hydrogen charging stations at relatively safe gas stations and LPG/CNG charging stations in areas where access to the existing 10 hydrogen charging stations is weak within 20 minutes. Nevertheless, it was found that there are still areas where access remains difficult. Conclusion: The location allocation model is used to identify areas where access to hydrogen charging stations is difficult and prioritize installation, decision-making to select locations for hydrogen charging stations based on scientific evidence can be supported.

• Journal of Wetlands Research
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• v.17 no.3
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• pp.245-250
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• 2015

We systematically analyzed the Wetland Conservation Action Plan of Gyeongsangnam Province to evaluate conservation status in local government level. Project topics were categorized into 1) wetland infrastructure, 2) wetland conservation and wise use, 3) education and awareness, and 4) conservation framework. From 2010 to 2013, 42 projects (145 cases, 88,899 million won) were implemented by 14 affiliated organizations under Gyeongsangnam Provincial Government. The number of projects and budget size has been decreased over 4 years, besides most of main projects were continued. The budgets were largely used for wetland project of cities and counties. Development and implementation of various conservation projects may have considerable potential values in wetland conservation, while it is still difficult to assess their overall effectiveness in the society. Diverse wetland management practices in Gyeongsangnam Provincial Government have accumulated fundamental practices and knowledge for an effective local conservation. These administrative experiences will further benefit other local government to establish wetland management framework. To accelerate policy diffusion to other local governments, Gyeongsangnam Province needs to promote and share leading experiences and information of wetland conservation. Enhanced local government framework by the legislation at central government will further support country-level management plans and practices.

• Journal of Korean Society of Transportation
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• v.30 no.4
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• pp.43-59
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• 2012

Assuming a completed Smart Highway road & communication environment that allows real-time information collection and transmission of road traffic condition ahead, the purpose of this study is to develop a plan for inducing a network-level safe driving pattern by providing road traffic condition and safety information to multiple drivers through a road information provision device. In this study, the device with a function that displays different colors according to the hazard level to the existing delineator has been named 'Smart Delineator'. Smart Delineator is a device that provides not only alignment information but also safety information for drivers to receive real-time warning information and intuitively recognize road traffic condition ahead so that drivers can respond. To examine the effects of safety driving inducement level on drivers, a simulation test was conducted using driving simulator as well as a satisfaction survey. The result showed that the Smart Delineator was able to identify the location of occurrence and affecting driving according pattern, either adhering to recommended speed or reducing speed according to the pre-defined hazard level.

• Spatial Information Research
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• v.20 no.6
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• pp.33-43
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• 2012

As part of recent sustainable transport, bike has come into the spotlight as a green transport at close range to link between walking and public transit and also alterative to solve problems of existing vehicle travel. Some arguments on promotion of using bicycles have already been made in Europe, the U.S and other developed countries. To be sure, much has been written extensively in description of utilization of bike oriented by supplier, for examples, Level of Service with bike path, infrastructure such as bicycle racks and lounge etc. Therefore, our study has been differentiated in development of new evaluation model focused on level of bike user's satisfaction, comprehensively considering suitability for bikeway installation, connectivity of the public transportation system and stability in Incheon City. ANP(Analytic Network Process) analysis which is able to allow consideration of the interdependence of criteria has been hired due to multi-collinearity instead of AHP used in multi-criteria decision analysis. Last but not least, we drew bike route on a case-by-case for maintenance and improvement of its facility in Namdong-gu and Bupyeong-gu. To conclude, suggested finding has dem onstrated the validity of evaluation scheme for bikeways which is appropriate for type and purpose and ultimately this can be used to establish policy decision making for improvement of bikeway.

• Journal of the Korean Institute of Intelligent Systems
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• v.24 no.3
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• pp.337-342
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• 2014

This paper is aims to build the advancement structural model of GICOMS through identification of required system and improvement for implementation of e-Navigation. We derived nine improvement subject for model of advanced GICOMS through the analysis of problems for GICOMS and brainstorming with expert in the maritime safety. And we analyzed the structure of nine improvement subject using by FSM(Fuzzy Structural Modeling) method, and proposed a structural model that to grasp the correlation between elements. As a result, we found out that "advancement of GICOMS" is the final goal, and "improvement a system of information production", "improvement a scheme of information providing", "linkage between GICOMS and VTS" and "building global networks for safety cooperation" are located lowest level. Especially, "advancement of GICOMS" is influenced by "advancement function of VMS" and "Activation of usage" on middle level. We suggested that utilizing state-of-the-art IT facilities, equipment and expertise to improve and enhance the user-centered transition such as maritime workers for advancement of GICOMS based on proposed structure model.

• Proceedings of the Korea Water Resources Association Conference
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• 2007.05a
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• pp.268-272
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• 2007

우리나라는 아시아몬순지역에 속하면서 수도작을 주로 하는 지역으로 오래전부터 저수지나 보를 만들어 농업용수를 공급하여 왔으며, 이러한 농업용수의 사용에 대해서는 관행적으로 수리권을 보호해왔다. 그러나 최근 그동안 안정적으로 보호되던 농업용수의 기득 수리권에 대한 재검토와 농업용수의 이용에 따른 사회 경제적 요소의 편익을 기준으로 하는 물 이용의 우선순위 재조정논의가 제기되고 있는데 이는 국가전체 물 수요와 농촌지역사회의 변화 등에 기인한 것이다. 농업용수의 개발과 이용이 기존의 농업생산기반 확충 위주에서 농촌 삶의 질 향상 차원의 농촌 개발로 농업 농촌정책의 방향이 전환되고 있으며, 이와 더불어 농촌의 생활용수, 환경용수, 관광용수, 지역용수 등 농업용수 외의 수자원 수요가 증대하고 있다. 즉 지금까지 농업용수는 주로 농촌의 관개용수 위주로 개발 공급되어 왔으나 농촌지역의 생활양식의 변화 및 생활수준의 향상과 더불어 위생적이고 편리한 생활용수 및 공업용수 등 다양한 목적의 농업(농촌)용수의 수요가 증대 되고 있고 이러한 추세가 지속될 것으로 예상된다. 또한 기계화 영농, 직파 재배 등 영농방식의 변화에 따라 농업용수의 수요가 증가되고 있으며, 농업으로 인한 환경오염을 경감시킬 수 있는 환경친화적인 농업이 요구되고 있어 농촌지역의 한정된 수자원을 합리적으로 이용하여 21세기 물부족 사태에 대비할 필요성이 대두되고 있다. 우리나라에서도 이미 낙동강, 영산강, 섬진강 유역과 남부 해안 및 도서지역의 가뭄이 심각해지는 등 물 부족 문제로 국토 균형개발이 곤란해지는 문제가 발생하고 있다. 이러한 여건 변화 속에서 지속가능발전위원회의 제67회 국정과제보고회의(2005년 10월 19일)에서는 농업용수 10% 절약 대책과 유역단위의 통합적 물 관리를 요구하게 되었다. 우리나라는 현실적으로 매년 홍수 피해가 발생하고 있지만, 다른 한편 인구밀도가 높고 1인당 가용 수자원이 상대적으로 적기 때문에 국지적 물 부족 문제를 경험하고 있다. 최근 국제적으로도 농업용수의 물 낭비 최소화와 절약 노력 및 타 분야 물 수요 증대에 대한 대응 능력 제고가 매우 중요한 과제로 부각되고 있다. 2006년 3월 멕시코에서 개최된 제4차 세계 물 포럼에서 국제 강 네트워크는 "세계 물 위기의 주범은 농경지", "농민들은 모든 물 위기 논의에서 핵심"이라고 주장하고, 전 프랑스 총리 미셀 로카르는 "...관개시설에 큰 문제점이 있고 덜 조방적 농업을 하도록 농민들을 설득해야 한다. 이는 전체 농경법을 바꾸는 문제..."(segye.com, 2006. 3. 19)라고 주장하는 등 세계 물 문제 해결을 위해서는 농업용수의 효율적 이용 관리가 중요함을 강조하였다. 본 연구는 이러한 국내외 여건 및 정책 환경 변화에 적극적으로 대처하고 물 분쟁에 따른 갈등해소 전략 수립과 효율적인 물 배분 및 이용을 위한 기초연구로서 농업용수 수리권과 관련된 법 및 제도를 분석하였다.

• Journal of the Economic Geographical Society of Korea
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• v.6 no.2
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• pp.307-326
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• 2003

In Korea, as the state has played a vital role for industrial development, the location and development of industrial complexes have not been merely decided by economic factors but political and social factors as well. The location of industrial complexes in Chonbuk province has not been decided by industrial enterprises to be located there, but by investment strategies of the state. In the early stage of industrialization, Chonbuk could not attract a large-scale major complex because it had relatively inferior infrastructure for industry and uneasy access to overseas export markets, as compared to the capital region or the Southeast region of the country, and it has been left behind as a periphery in the national industrial system. Since 1980, the spatial policies for lessening regional disparities had much contributed to the development of industrial complexes in this province. The industrial complexes leading to the development of manufacturing activities in this region have also great influenced on structural changes of manufacturing as well as changes in the structure of the regional economy. Especially, capital goods manufacturing tends to increase in this region as the development of sectors required relative higher skill and technology mainly occurs in these complexes. And where the large-scale industrial complexes are located greatly influences the locational patterns of manufacturing in this province. The patterns of the industrial complexes in this region have concentrated in Chonju, Iksan, and Kusan, which are the largest cities in this province. Given these three cities to be very closely proximate, it seems to be easy to build network between them to develop the manufacturing activities in the near future.

• The Journal of the Korea Contents Association
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• v.21 no.12
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• pp.202-216
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• 2021

Since the first 12 ones were designated in 1969, 228 places have been designated as tourism sites, and about 70 percent of them were designated before the 2000s. It shows that changes in most of tourism sites are needed in terms of physical, functional and environmental aspects. However, there are still not enough academic progress and policy consideration regarding the decline of tourism sites and the regeneration of them. This study aims to find the causes of decline and the factors to activate in tourism sites, to draw important conditions to recover the attractiveness of tourism sites in decline from the comprehensive analysis of causes and factors, and to apply the conditions to a real case in severely declining stage. According to the findings, the conditions for recovery could be restructured into four categories: 'The upgrade of hardware such as facilities in tourism site', 'the development of software such as contents and programs', 'the reinforcement of local capacity and institutional grounds' and 'the expansion of functions and the building of networks with various external stakeholders such as expert groups, related enterprises, talented individuals and so forth.

• Journal of Broadcast Engineering
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• v.27 no.5
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• pp.794-807
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• 2022

Although registration of dogs is mandatory according to the revision of the Animal Protection Act, the registration rate is low due to the inconvenience of the current registration method. In this paper, a performance improvement study was conducted on the dog face recognition technology, which is being reviewed as a new registration method. Through deep learning learning, an embedding vector for facial recognition of a dog was created and a method for identifying each dog individual was experimented. We built a dog image dataset for deep learning learning and experimented with InceptionNet and ResNet-50 as backbone networks. It was learned by the triplet loss method, and the experiments were divided into face verification and face recognition. In the ResNet-50-based model, it was possible to obtain the best facial verification performance of 93.46%, and in the face recognition test, the highest performance of 91.44% was obtained in rank-5, respectively. The experimental methods and results presented in this paper can be used in various fields, such as checking whether a dog is registered or not, and checking an object at a dog access facility.

• Journal of Internet Computing and Services
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• v.23 no.6
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• pp.39-48
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• 2022

Cyberattacks around the world continue to increase, and their damage extends beyond government facilities and affects civilians. These issues emphasized the importance of developing a system that can identify and detect cyber anomalies early. As above, in order to effectively identify cyber anomalies, several studies have been conducted to learn BGP (Border Gateway Protocol) data through a machine learning model and identify them as anomalies. However, BGP data is unbalanced data in which abnormal data is less than normal data. This causes the model to have a learning biased result, reducing the reliability of the result. In addition, there is a limit in that security personnel cannot recognize the cyber situation as a typical result of machine learning in an actual cyber situation. Therefore, in this paper, we investigate BGP (Border Gateway Protocol) that keeps network records around the world and solve the problem of unbalanced data by using SMOTE. After that, assuming a cyber range situation, an autoencoder classifies cyber anomalies and visualizes the classified data. By learning the pattern of normal data, the performance of classifying abnormal data with 92.4% accuracy was derived, and the auxiliary index also showed 90% performance, ensuring reliability of the results. In addition, it is expected to be able to effectively defend against cyber attacks because it is possible to effectively recognize the situation by visualizing the congested cyber space.