• Journal of Energy Engineering
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• v.24 no.4
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• pp.130-139
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• 2015

Korea country was set up over 30% greenhouse gas reduction target in comparision with BAU(Business as usal) at the national level, depending on climate change, which have been promoted as several technical and policy planning in order to reduce national greenhouse gas reduction. In this study, we derived the policies and technologies of power plant sector that is a high rate of reduction and public interest, we established a model for a common evaluation indicators and each of the evaluation factors between policy and technology priorities based on appropriate subject experts using analytic hierarchy process(AHP). Further we suggest insight to electricity company to establish the investment strategies of the technology and the associated policy by applying a weight evaluation index presenting a comprehensive priority.

• Journal of Korea Water Resources Association
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• v.42 no.12
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• pp.1029-1038
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• 2009

Recently, it is expected that small hydropower (SHP) could potentially provide sufficient amounts of alternative energy in Korea where there is an abundance of potential sites and where social efforts are being made to reduce the emissions of green house gases. In the past, the resources survey for SHP development has been carried out using onsite surveys and paper maps, which incurred a great deal of time and cost. Furthermore, the tools for decision making such as determining development priorities or evaluating feasibility have been considered only economic aspect and focused on the performance characteristics of power generation. However, as the concept of sustainable development has been being advanced in recent years, especially focused on human-social, environmental and ecological in addition to economical sector; the consideration of these multiple criteria has become essential for sustainable SHP development. This study aims to propose the spatial multi-criteria decision making (MCDM) methodology for determining priorities among a number of locations on the planning stage of SHP development using AHP and GIS. The proposed methodology is applied for determining development priorities among the SHP locations in Cho River basin and this study presents the detailed spatial information data and the results of development priorities. As a fundamental work, this study will be beneficial to the future activation of SHP development and will help the decision making in evaluating the feasibility of SHP development.

• KSCE Journal of Civil and Environmental Engineering Research
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• v.37 no.3
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• pp.585-592
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• 2017

Most sewer lines buried in the city are likely to be collapsed due to serious aging. Also, due to the high concentration of development and high population density and traffic, the collapse of the sewer will cause enormous social and economic damage. Therefore, proactive maintenance is required to prevent accidents caused by deteriorated sewer pipe. In order to utilize limited budget effectively, risk-based prioritization methods should be proposed that simultaneously consider the consequence of failure and the probability of failure. In this study, the method of risk-based prioritization of sewer was examined by reviewing various cases of overseas studies and applied to the urban sub-catchment. First, the impact factors that can be secured through the sewer GIS DB in Seoul were derived, and the weight, sub-criteria, and impact score of each impact factor were determined and the consequence of failure was calculated by weight sum method. In addition, the probability of failure was calculated by dividing the service life by the estimated useful life, and the consequence of failure and the probability of failure were classified into five grades by the Jenks natural breaks classification method. The prioritization method was applied to sub-catchment in the Seoul to derive a risk matrix and a risk grade. As a result, 26% of all subjects were selected as the inspection priority subjects with 4-5 risk grade. Therefore, using the risk-based CCTV prioritization methodology, it will be possible to systematically determine the objects that need investigation first.

• Journal of the Korean Society of Marine Environment & Safety
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• v.21 no.6
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• pp.672-678
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• 2015

The types of hazardous and noxious substances (HNS) being transported by sea in Korea are at about 6,000, HNS transport volume accounts for 19% of total tonnage shipped in Korea, and the increase rate of seaborne HNS trade in Korea is 2.5 times higher than the average increase rate of the world seaborne HNS trade. Reflecting this trend, HNS spill incidents have been frequently reported in Korean waters, and there are increasing social demands to develop HNS management technology for the preparedness, response, post-treatment and restoration in relation to HNS spill incidents at sea. In this study, a risk-based HNS prioritization system was developed and an HNS risk database was built with evaluation indices such as sea transport volume, physicochemical properties, toxicities, persistency, and bioaccumulation. Risk scores for human health and marine environments were calculated by multiplying scores for toxicity and exposure. The top-20 substances in the list of HNS were tabulated, and Aniline was ranked first place, but it needs to be managed not by individuals but by HNS groups with similar score levels. Limitations were identified in obtaining data of chronic toxicity and marine ecotoxicity due to lack of testing data. It is necessary to study on marine ecotoxicological test in the near future. Moreover, the priority list of HNS is expected to be utilized in the development of HNS management technology and the relevant technologies, after the expert's review process and making up for the lack of test data in the current research results.

• Proceedings of the Korea Water Resources Association Conference
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• 2021.06a
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• pp.266-266
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• 2021

산업의 발달로 지표면의 포장면적이 증가하여 지표의 유출량은 증가하고, 지하수계로의 함양량은 감소하고 있다. 또한, 기후변화로 강우의 패턴이 변화하여 강우 강도가 증가하고 있으며, 무강우일수 또한 증가하여 지표면으로 유출되는 수자원의 양은 증가하고 있다. 대수층으로의 함양량은 줄어들어 지하수자원의 양은 점차 감소하고 있다. 지속가능한 지하수자원의 활용을 위해서는 지하수자원 관리 방안을 적용하고, 지하수자원 관리 계획을 수립해야 한다. 효과적인 관리방안의 적용을 위해서는 상대적으로 지하수자원이 중요한 지역을 대상으로 지속 가능한 지하수자원의 활용을 도모해야 한다. 지하수 이용량이 많고 지하수자원에 대한 의존율이 상대적으로 높은 지역을 우선적으로 진행해야 한다. 본 연구에서는 우리나라의 4대강 유역을 대상으로 지하수자원의 중요도에 대한 평가를 진행하였다. 지하수자원 이용 중요지역 선정을 위해서는 지하수 이용량과 관련된 자료를 분석하여 선정하였다. 총 5개의 지표가 선정되었으며 지하수 이용량, 수자원 이용량 중 지하수 이용량 비율, 지하수 이용 관정 개수, 지하수 이용 관정 당 취수량, 면적대비 지하수 취수량을 통해 평가를 진행하였다. 추후 유역을 좁혀 지하수 이용에 대해서 정밀 평가를 진행해야 할 필요가 있으며, 지형 특성 인자, 기후 특성 인자 등을 추가하여 평가한다면 지속가능한 지하수자원의 이용을 위한 관리 계획 수립의 기초 자료로 활용할 수 있을 것이다.

• Journal of the Korea Institute of Information Security & Cryptology
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• v.28 no.3
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• pp.695-706
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• 2018

In recent years, industrial convergence centered on ICBM (internet of things (IoT), cloud, big data, mobile) has been experiencing rapid development in various fields such as agriculture and the financial industry. In order to prepare for cyber threats, one of the biggest problems facing the convergence industry in the future, the development of the industry must proceed in tandem with a framework of information security. In this study, we analyze the details of the current industrial development policy and related information protection policies using cross impact analysis and present policy priorities through the expert questionnaire. The aim of the study was to clarify the priorities and interrelationships within information security policy as a first step in suggesting effective policy direction. As a result, all six information security policy tasks derived from this study belong to key drivers. Considering the importance of policies, policies such as improving the constitution of the security industry and strengthening of support, training of information protection talent, and investing in the information security industry need to be implemented relatively first.

• The Journal of Society for e-Business Studies
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• v.23 no.4
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• pp.109-126
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• 2018

With massive and dense production, the livestock industry is rapidly moving into a large-scale, capital-intensive industry especially in swine, poultry, and ducks. However, livestock epidemics can pose a serious threat to the livestock industry and the lives of the people. The government has established and operates the National Animal Protection and Prevention System (KAHIS) since 2013 in order to control the threat, in accordance with the five stages. The digitalized data and information are excellent in ease of management, but it is also pointed out that it is difficult to take countermeasures through linkage with the data in an emergency situation. Recently, the technology of the fourth industrial revolution such as Internet of Things (IoT), Big Data, Artificial intelligence (AI) has been rapidly implemented to the livestock industry, which makes smart livestock disease control system possible. Therefore, this study investigated the domestic and overseas cases which apply 4th Industrial Revolution technology in the industry, and derived 13 possible candidate tasks in the near future. In order to ascertain the priority of policy formulation, we surveyed the expert groups and examined the priority of each of the five stages of the prevention and the priority of each stage. The results of this study are expected to contribute to the establishment of policies for the advancement of smart livestock disease control research and livestock protection.

• Fire Science and Engineering
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• v.32 no.1
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• pp.108-115
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• 2018

The purpose of this study was to classify VR programs according to their characteristics and associations by the disaster management phase and firefighting school curriculum, and set priorities among VR fire training and training programs using AHP analysis., The relative priority is given considering its importance and urgency. As a result of the study, firefighting education and training classes showed the highest level of response. The relative priority of the subcategories was highest in the prevention stage. The simulation implementation for the evacuation experience was highest in closed spaces, such as a subway, and the simulation for the special firefighting vehicle was highest in the contrast phase. In the response phase, real fire simulation training was the highest. In the recovery phase, virtual reality training was the most effective in determining the fire situation based on the fire database.

• Journal of the Economic Geographical Society of Korea
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• v.25 no.3
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• pp.357-379
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• 2022

This study diagnoses the industrial varieties and innovation capacity of the Korean regional economy and discusses how the priority for autonomous regional development can be set. Since the late 1990s, regional development policies in Korea have been attempted from various angles to reduce the economic gap between the metropolitan area and non-metropolitan areas, but the establishment of a development strategy in consideration of regional industrial characteristics and innovation capabilities has been insufficient. With the advancement and diversification of technologies and industries, regions must seek strategic diversification to prepare for economic shocks, away from strategies that specialize in specific industries. In this study, industrial varieties in regional basis is characterized using unrelated and related varieties. Variety indices show different patterns between the metropolitan area and non-metropolitan areas and between manufacturing and service sectors, which raises the need to consider industrial characteristics in regional development. Lastly, using the variety index and the innovation capacity index as two dimensions, the regional economic status at the municipal level is categorized into four types, and proper regional development policy priorities are suggested for each type.

• Journal of the Korea Society of Computer and Information
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• v.24 no.11
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• pp.219-228
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• 2019

Naval command and control system are very important for operation and their failures can be fatal for warfare. To prepare for these failures, we use feature selection method which is one of the data mining techniques. First, we analyzes failure data set of Navy from 2016 to 2018. And then We derive attributes that are associated with failure and to predict failure using feature selection method. We propose a method for prioritizing maintenance using the degree of association of attributes. This improves the efficiency and economics of command and control system maintenance.