• Journal of the Korea Academia-Industrial cooperation Society
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• v.21 no.1
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• pp.300-307
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• 2020

This study examines the reliability evaluation concept and procedure of bulletproof materials (BRP: Bulletproof Reliability Program). ASRP, RAM analysis tasks were utilized for the study. Based on this analysis, the concept, method, performance system, and procedure of BRP were examined. The BRP task execution procedure consists of the following four steps. First, the business (evaluation) planning stage establishes the evaluation plan every year. Second, there is a testing stage that performs the general inspection, functional test, and operational test according to the established plan. Thirdly, there is an evaluation/analysis phase to synthesize/analyze the results and to judge the appropriate grade considering the performance of bulletproof materials. Finally, the follow-up step of each group according to the result. The following criteria are suggested for BRP implementation: BRP testing capability, development of BRP evaluation method, and recognition of the importance of BRP business.

• Proceedings of the Korea Water Resources Association Conference
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• 2012.05a
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• pp.170-170
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• 2012

제주도는 최근 기후변화에 의한 태풍의 증가로 집중호우의 빈도가 지속적으로 증가하고 있는 추세이고 지난 태풍 나리로 인해 발생한 제주시에서의 극심한 재해로 태풍 시 홍수 유량 관측 및 저류지의 건설로 인한 저류효과의 분석에 많은 관심이 집중되고 있다. 제주대학교 주관의 제주도 물순환 해석 및 수자원 관리체계 구축 사업단은 제주도 환경에 적합한 유량조사기법을 적용 및 개발 중에 있으며 특히 집중 호우 시 유량 계측을 비롯한 제주 유량 자료 확보 방안에 대해 연구를 수행하고 있다. 제주도 연구단은 지난 여름 태풍 무이파 때 제주시 하천의 제 2동산교에서 다양한 계측 방식을 활용하여 유량관측을 성공적으로 수행하였다. 태풍 무이파는 강한 중형 태풍으로 제주도 산간 지역에 700mm 이상의 집중호우를 보여 제주 하천에 많은 양의 유출을 발생시키고 일부 재산 및 인명 피해를 발생시켰다. 홍수 유량의 계측은 지금까지도 최적화된 계측 방식이 확립되지 못했고 그 측정의 어려움과 계측기기의 한계로 봉부자 같은 전통적인 방식의 홍수유량 측정방식이 여전히 통용되고 있는 현실이다. 하지만 본 연구단은 최신 관측기법인 비접촉식의 표면영상유속계와 전자파표면유속계를 사용하여 전 강우 지속시간 동안 유량을 매 시간마다 관측하여 수문곡선을 완성하여 홍수 유량 계측의 효율성과 정확성을 높일 수 있었다. 계측 결과 홍수유출 시 한천 상류의 제 1,2 저류지가 가동되어 저류효과가 수문곡선에 반영되었음을 알 수 있었고 홍수 유출 시 나타나는 대표적인 특이 경향이 수위-유량곡선의 이격현상도 확인할 수 있었다. 따라서 홍수 유출은 단순히 수위 자료만으로는 부족하고 유속자료를 동시에 관측해야 정확한 계측치를 확보할 수 있음을 알 수 있다. 또한 최신 계측기기인 표면영상유속계와 전자파표면유속계의 유속 관측값의 상호비교도 실시하여 관측기기의 효율성을 검증하였다.

• Proceedings of the Korea Water Resources Association Conference
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• 2016.05a
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• pp.307-307
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• 2016

도시화 및 산업화에 따른 각종 개발 사업으로 불투수층의 증가로 인하여 강우에 의한 지표면 침투량의 감소로 도시지역 내 저지대 침수가 증가하여 막대한 인명 및 재산피해가 발생하고 있다. 특히 도심지역내 돌발성 집중홍우에 대한 방재성능에 대한 선제적 대비가 필요하다. 따라서 온천천 유역에 빈도에 따른 침수위험지역 산정을 통한 홍수 예 경보체계를 구축하여 부산광역시 도시 재해관리방안을 마련하고자 한다. 지난 2014년 08월 25일 부산시에 집중호우에 의하여 발생한 홍수량 산정 및 빈도별 침수위험 지역 선정을 위해 온천천 유역에 SWMM 모형을 이용하여 수문분석을 실시하였다. 1:1,000의 하수도대장을 이용하여 관망을 구성하였고, 이를 바탕으로 유출량 산정 지점을 선정하였다. 그리고 1:5,000의 지형도를 이용하여 SWMM 모형으로 유역 내 지형과 각 지역의 인위적인 배수계통에 따라 대상유역을 총 114개의 소유역으로 분할하였다. SWMM 모형의 매개변수 산정을 위하여 2개의 검정강우사상과 1개의 검증강우사상으로 총 3개의 강우사상을 활용하였고, 산정된 매개변수를 이용하여 2014년 8월 25일 발생강우로 인한 수문 분석을 수행하였으며, 유출량 산정을 위하여 온천천 기본계획상의 홍수량 산정지점과 동일한 지점의 유량을 추출하여 빈도별 홍수량과 비교하였다. 그 결과 발생한 유출량의 규모는 모든 지점에서 100년 빈도를 상회하였으며, 중 하류부 구간은 200년 빈도를 상회하는 것으로 나타났으나, 하천의 월류는 발생하지 않는 것으로 분석되었다. 관거 통수능 분석결과 2014년 08월 25일 발생한 호우로 인하여 장전 부곡동 일원 및 거제 안락동 일원에서 유출량이 관거통수능을 초과하는 것으로 나타났으며, 향후 대규모 호우 발생 시 이들 지역에 대한 유입지선에서의 침수 발생 등의 위험이 존재하는 것으로 평가되었다. 또한 빈도별 관거통수능 분석결과 10년 빈도에서는 총 19개 지점, 50년 빈도는 총 43개 지점, 100년 빈도는 총 49개 지점, 200년 빈도에서는 총 51개 지점에서 간선관거의 통수능이 부족하여 침수가 예상되는 것으로 나타났다.

• Journal of the Korea Academia-Industrial cooperation Society
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• v.22 no.6
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• pp.385-397
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• 2021

This study examined service failure and recovery of domestic ethnic food restaurants based on a model of the repercussions of service failure dealing with seriousness and control and the cause-and-effect relationships among the variables relevant to the quality of relationships -trust, satisfaction, and loyalty. This study provides valuable information for Korean restaurant managers regarding food service failure and response plans by collecting data from actual Japanese tourists visiting ethnic food restaurants. The results suggested that it is important to develop a strategy to present the distributional fairness to customers who recognize the seriousness of service failure to control the situation promptly. These results can be used to establish more systematic business plans, improving customer management and firm performance. The advantage of this research is that it is time for substantial research data on the booming domestic restaurant industry and service quality to overcome the current recession and grow and solidify the current restaurant market.

• The Journal of the Convergence on Culture Technology
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• v.8 no.1
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• pp.209-218
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• 2022

To study hotels related to early modern cultural heritage, this study has, first, attempted a historical approach through literature analysis and established an early modern hotel development history. Second, it has strived to suggest tourism industrial utilization measures by studying tourism industrial utilization cases through materials on the restoration of Daebul Hotel and interviews with related parties. Consequently, the researcher offers the following as tourism industrial revitalization measures for the restoration of early modern hotels. First, restoration plans for early modern hotels from early modern heritage in each region should be made on the basis of thorough examination of justifiability and of content development plans. Second, restoration of early modern hotels in each region requires the establishment and intent of an administrative management system by local governments. Third, restoration of early modern hotels is a thing of historical significance and value and should be promoted as a business that can contribute to revitalization of tourism and economic effects, acceleration of employment, etc., in each region. Fourth, preparation of a consistent, proactive advertisement methods regarding the restoration of early modern hotels is necessary.

• Journal of the Korean Society of Surveying, Geodesy, Photogrammetry and Cartography
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• v.40 no.3
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• pp.147-157
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• 2022

Recently, many studies have been conducted to analyze traffic or object recognition that classifies vehicles through artificial intelligence-based prediction models using CCTV (Closed Circuit TeleVision)or drone images. In order to develop an object recognition deep learning model for accurate traffic estimation, systematic data construction is required, and related standardized guidelines are insufficient. In this study, previous studies were analyzed to derive guidelines for establishing artificial intelligence-based training data for traffic estimation using drone images, and business reports or training data for artificial intelligence and quality management guidelines were referenced. The guidelines for data construction are divided into data acquisition, preprocessing, and validation, and guidelines for notice and evaluation index for each item are presented. The guidelines for data construction aims to provide assistance in the development of a robust and generalized artificial intelligence model in analyzing the estimation of road traffic based on drone image artificial intelligence.

• Journal of Industrial Convergence
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• v.20 no.10
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• pp.61-69
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• 2022

Posttraumatic growth literature has been rapidly expanding in multiple academic disciplines. Purpose of this study is to examine the knowledge structure of posttraumatic growth utilizing a network analysis. Papers published between 1996 and 2018 were searched on the Web of Science, focusing on terms related to posttraumatic growth. One thousand six-hundred and fifty-nine keywords were published 6,343 times in 1,780 papers; thus, a total of 322 keywords (5,195 appearances) were selected for the final analysis. The network analysis and network visualization tool used were NodeXL and PFnet, respectively. The keywords which appeared the most frequently were "Posttraumatic growth," followed by "Posttraumatic Stress Disease," "Cancer," and "Trauma." A total of 322 nodes have been reduced to 175 nodes and divided into a total of five groups. The five groups were "Posttraumatic Growth in Cancer, Chronic/Serious Illness, and Disability," "Posttraumatic Growth-related Psychological Variables and Psychotherapy," "Posttraumatic Growth in the Context of Death," "Cognitive Mechanisms of Posttraumatic Growth," and "Vicarious Posttraumatic Growth." This study provides a systematic overview on the knowledge structure of posttraumatic growth by quantitatively network analysis.

• Journal of the Korean Geotechnical Society
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• v.26 no.4
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• pp.59-68
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• 2010

Piping, a common form of internal embankment erosion, is caused by progressive movement of soil particles through an embankment. The phenomenon commonly occurs with precursory signs of development of fractures in dam structures, but also occurs without any noticeable signs in dams that showed satisfactory dam performance for several years, due to dissolution of soluble material in an embankment. While piping accounts for nearly 50% of the causes for dam failure, few studies have been made for systematic evaluation of the phenomenon. In this study, we attempted to monitor the changes in electrical resistivities of fill-dam material while a saddle dam is dismantled for the construction of emergency spillways of Daechung dam. Two artificial subhorizontal boreholes were drilled into the embankment structure to simulate piping along the two artificial flow channels. Monitoring of changes in electrical resistivity showed an increase in resistivity values during piping. Thus, the investigation of resistivity over time could be an effective method for piping prediction.

• Journal of the Korean Association of Geographic Information Studies
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• v.11 no.1
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• pp.31-44
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• 2008

The 1st phase framework data implementation of National Geographic Information Systems (NGIS) used 1:5,000 digital map with 5 years updating period which is lacking in the latest information. This is a significant factor which hinders the use of framework data. This study proposed the efficient technical method of a location based object data management and system implementation for updating framework data. First, we did an object-oriented data modeling and database design using a location based features identifier(UFID: Unique Feature IDentifier). The second, we developed the system with various functions such as a location based UFID creation, input and output, a spatial and attribute data editing, an object based data processing using UML(Unified Modeling Language). Finally, we applied the system to the study area and got high quality data of 99% accuracy and 35% benefit effect of personnel expenses compare to the previous method. We expect that this study can contribute to the maintenance of national framework data as well as the revitalization of various GIS markets by providing user the latest framework data and that we can develop the methods of a feature-change modeling and monitoring using an object based data management.

• Environmental and Resource Economics Review
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• v.16 no.1
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• pp.99-127
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• 2007

When the margin between available capacity and demand is thin in a liberalized electricity market, prices rise steeply and system reliability is threatened. The principal response to these circumstances is often an assumption that price spikes and electricity shortages are the result of a failure to build sufficient new supplying facilities. It is, of course, often the case that additional investments in generation and network facilities would improve reliability, and such investments are often needed. But focusing on additional generation and transmission facilities for restoring balance to the grid overlooks the essential fact that reliability is a function of the relationship between supply and demand, imposing unnecessary costs on electric system. When the relationship is out of balance, the search for solutions must consider not only investments supply-side resources but also cost-effective demand-side resources such as accelerated load management, efficiency measures, and price-responsive load programs. Integrating demand resources into electricity markets can add enormous value to the electric system, widening the capacity margin, lowering costs and enhancing system reliability at the same time. This paper studies several challenges now facing electricity markets: demand-side management-especially, economic effects of demand response, potential reliability problems, market and system operation, CBP market improvements and so on. The paper concludes with a series of policy recommendations in five areas: (i) The Effects of efficient improvement to incorporate demand responses and demand-side resources into modem electricity markets, (ii) Fosteing price based demand response and (iii) improving incentive based demand response, (iv) strengthen demand response analysis and valuation, (v) integrating demand response into resource planning and adopting enabling technologies.