• Korean Journal of Hydrosciences
• /
• 제8권
• /
• pp.31-40
• /
• 1997

Flow carrying capacity of water distribution systems is getting reduced by deterioration of pipes in the systems. The objective of this paper is to present a managerial decision-making model for the rehabilitation of water distribution systems with a mininum cost. The decisions made by the model also satisfy the requirements for discharge and pressure at demanding nodes in the systems. Replacement cost, pipe break repair cost, and pumping cost are considered in the economic evaluation of the decision along with the break rate and the interest rate to determine the optimal replacement time for each pipe. Then, the hydraulic integrity of the water distribution system is checked for the decision by a pipe network simulator, KYPIPE, if discharge and pressure requirements are satisfied. In case the system does not satisfy the hydraulic requirements, the decision made for the optimal replacement time is revised until the requirments are satisfied. The model is well applied to an existing water distribution system, the Seoul Metropolitan Water Supply System (1st Phase). The results show that the decisions for the replacement time determined by the economic analysis are accepted as optimal and hydraulic integrity of the system is in good condition.

• 재활간호학회지
• /
• 제14권2호
• /
• pp.118-128
• /
• 2011

Purpose: The purpose of this study was to explore the experiences of bereavement for main family members who had made and followed DNR decision for their family members. Method: This qualitative study was based on a grounded theory, and used in-depth interview techniques with the bereaved 10 main family members who had been treated and died under DNR order. Results: The causal condition of the family member was 'Releasing', and the main consequent phenomenon were 'Blaming self and ruminating'. The contextual condition was 'The memory of the deceased'. The action/reaction strategy was 'Purifying'. The intervening condition was 'Supporting system', and the consequence was 'Acceptance'. The experience after bereavement of the family member on DNR decision were rational processes that purified themselves and healed the guilt feeling about the decision from reflective assessment and response about DNR decision. Based on this results, the substantive theory 'Reflective self healing' was derived. Conclusion: The main family members in following DNR decision are more likely to have unhealthy emotional condition than others in normal bereavement process. But they overcame the grief of bereavement through reflective self healing process.

• 한국환경복원기술학회지
• /
• 제21권1호
• /
• pp.31-40
• /
• 2018

Since the Millennium Ecosystem Assessment Report was published in 2005, the conflict between development and the preservation of the ecological environment has turned to paying attention to value assessments in rational decision-making. In recent years, the concept of ecosystem services has been recognized as a viable one for making significant decisions. However, a trade-off between increase and decrease occurs between the ecosystem services sub-categories (cultural service, regulating service, supporting service, and provisioning service), for which research centering on target sites is needed. To this end, the present study aims to investigate the trade-off relationship between service categories to search for reasonable decision-making strategies. As the research method, a survey was conducted using the translated version of SoIVES(Social Value for Ecosystem Services) 3.0 questionnaire of the United States Geological Survey. The research findings demonstrate the economic value, based on the derived monetary value of each service category, the economic value of the target site was compared among landscape aesthetic value 8,050,000 won, recreation value 6,750,000 won, biodiversity value 4,610,000 won, healing value 3,970,000 won, life-sustaining value 2,090,000 won, and productive value 220,000 won. And then the primarily recognized value criteria of the Tancheon ecosystem services illustrate landscape aesthetic and recreation value. Besides, this study illustrates visualized trade-off relationships based on user perception, and the derived relations illustrate the trade-off relationship between the cultural service, regulating service, supporting service, and provisioning service, as well as relationships between the components of the sub-categories.

• 한국지역사회생활과학회지
• /
• 제17권4호
• /
• pp.97-112
• /
• 2006

For 387 married women in their 20s to 50s, we inquired about the differences in whether they intended on moving into a welfare facility, depending on their views on supporting the elderly and the burden of supporting elderly parents, and tried to find out factors that would affect their decision to move into a welfare facility. With those objectives in mind, we conducted a survey targeting married women in their 20s to 50s who live in Seoul, Daejun or a city or county in Choongnam-do, and carried out frequency analysis, intersection analysis, one-way ANOVA and judge analysis. Our findings from those analyses are summarized as follows. First, when considering married women's characteristics and examining their intention of moving into a welfare facility for the elderly, there was a meaningful difference in their intention depending on age, academic background, occupation, and area of residence. Second, our analysis of the differences in their intention of moving in, based on married women's view on supporting the elderly and the burden of supporting elderly parents, indicates that due to these responsibilities, the greatest number of married women expressed their intention of moving in if a convenient facility for the elderly and service were provided. However, the analysis for the intention of moving in depending on savings for old age, did not exhibit any meaningful difference. Third, from the examination of determining factors for married women's intention of moving into a welfare facility for the elderly, based on age, academic background, occupation, residential area, responsibility for supporting an elderly family member and savings for old age, it was found that the burden of support was the only meaningful effective factor.

• 한국방재안전학회논문집
• /
• 제5권1호
• /
• pp.43-47
• /
• 2012

기반시설물의 자산관리란 기반시설 운영을 지원하는 기반시설물에 대한 상태 및 성능을 평가하고 적절한 유지보수보강을 수행하여 수명을 연장시키며, 종국적으로 국가예산을 절감할 수 있는 모든 수단을 강구하는 유지운영관리의 전사적인 체계라 할 수 있다. 이 자산관리의 범위에는 관리조직, 관리인력, 그리고 조직의 목표와 슬로건, 장단기적인 사업 계획 뿐만 아니라 정보 및 데이타 등의 전체적인 것을 아우르고 있다. 기반시설 자산관리에서의 핵심은 운영 효율성과 보수 작업성, 그리고 시설 안전성 및 재해 위험성, 그리고 조직관리 및 단계적인 정책 수립을 위한 의사결정 기준수립이 관건이 된다. 따라서 본 연구에서는 일반적인 기반시설 자산관리분석위험도 기법에 대한 개괄적 소개와 더불어 BRE(Business Risk Exposure)를 통한 위험도 평가 및 기반시설 자산관리차원의 위험평가방법에 대한 전반적인 절차를 구성하여 제시하였다. 또한 사회기반시설유지관리상의 의사결정에서 가장 중요시 될수 있는 최적유지관리시기 및 비용에 대한 리스크 관리의 필요성을 제시하고자 하였다.

• 전자통신동향분석
• /
• 제36권1호
• /
• pp.89-98
• /
• 2021

The Ministry of National Defense aims to create an environment in which transparent and reasonable defense policies can be implemented in real time by establishing the vision of smart defense innovation based on the Fourth Industrial Revolution and promoting innovation in technology-based defense operation systems. Artificial intelligence (AI) based defense technology is at the level of basic research worldwide, includes no domestic tasks, and involves classified military operation data and command control/decision information. Further, it is needed to secure independent technologies specialized for our military. In the army, military power continues to decline due to aging and declining population. In addition, it is expected that there will be more than 500,000 units should be managed simultaneously, to recognize the battle situation in real time on the future battlefields. Such a complex battlefield, command decisions will be limited by the experience and expertise of individual commanders. Accordingly, the study of AI core technologies supporting real-time combat command is actively pursued at home and abroad. It is necessary to strengthen future defense capabilities by identifying potential threats that commanders are likely to miss, improving the viability of the combat system, ensuring smart commanders always win conflicts and providing reasonable AI digital staff based on data science. This paper describes the recent research trends in AI military staff technology supporting commander decision-making, broken down into five key areas.

• 정보관리연구
• /
• 제33권4호
• /
• pp.107-128
• /
• 2002

이 연구는 R&D 투자에 대한 신속한 의사결정을 지원하고 R&D의 경제적 성과를 극대화시키기 위하여 R&D 기획 초기부터 기술의 경제적 수익에 대한 개념을 도입하고, 개발 완료된 R&D 기술의 상용화에 이르기까지 의사결정에 필요한 정보를 제공하는 시스템에 관한 것이다. 이 연구는 R&D 의사결정의 주요 경로를 파악하고, 단계별로 소요되는 정보에 대한 분석과 지식정보의 지원을 위하여 KISTI 과학기술 데이터 베이스 및 다른 공개용 정보원과의 원활한 연계 및 기술가치평가 정보 지원으로 구성되어 있다. 특히, 경제적 성과를 추정하기 위한 기술가치평가 정보 지원은 단계별 근거가 되는 지식정보를 지원하는 KISTI 기술가치평가 모델을 접목함으로써 좀더 객관적인 추정과 의사결정을 지원하도록 하였다.

• 한국측량학회:학술대회논문집
• /
• 한국측량학회 2004년도 추계학술발표회 논문집
• /
• pp.361-366
• /
• 2004

Geographic Information has been used widely for landuse and management, city plan, and environment and disaster management, etc., But geographic information has been built for individual cases using various methods. Therefore, the discordancy in data, double investment, confusion of use and difficulty of decision supporting system have been occurred. In order to solve these problems, national government is need to framework database. This framework database was enacted for building and use of National Geographic Information System and focused on basic plan of the second national geographic information system. Also, the framework database was selected of eight fields by NGIS laws and 19 detailed items through meeting of framework committee since 2002. In this research, The 19 detailed items( road, railroad, coastline, surveying control point etc.,) of framework database consider a Priority order, In the result of this research, the framework database is obtain to a priority order for building and the national government will carry effectively out a budget for the framework database building. Each of 19 detailed items is grouping into using the priority order of the framework database by AHP analysis method and verified items by decision tree analysis method. The one of the highest priority order items is a road, which is important for building, continuous renovation, and maintain management for use.

• KSII Transactions on Internet and Information Systems (TIIS)
• /
• 제10권5호
• /
• pp.2067-2080
• /
• 2016

Cooperative spectrum sensing (CSS) for vacant licensed bands is one of the key techniques in cognitive radio networks. Currently, sequential probability ratio test scheme (SPRT) is considered as a powerful soft decision approach to improve the sensing result for CSS. However, SPRT assumes all secondary users (SU) are honest, and thus offering opportunities for malicious SUs to launch the spectrum sensing data falsification attack (SSDF attack). To combat such misbehaved behaviors, recent efforts have been made to trust mechanism. In this paper, we argue that powering SPRT with traditional trust mechanism is not enough. Dynamic SSDF attackers can maintain high trust in an alternant process of submitting honest or false sensing data, resulting in difficultly detecting them. Noting that the trust value of dymamic SSDF attackers behave highly volatile, a novel trusted SPRT scheme (VSPRT) based on volatility decay analysis is proposed in this paper to mitigate the harmful effect of dynamic SSDF attackers in the process of the soft-decision data fusion, and thus improving the accuracy of the final sensing result. Simulation results show that the VSPRT scheme outperforms the conventional SPRT schemes.

• 한국IT서비스학회지
• /
• 제15권4호
• /
• pp.85-95
• /
• 2016

Recently, deep learning and machine learning have attracted considerable attention and many supporting frameworks appeared. In artificial intelligence field, a large body of research is underway to apply the relevant knowledge for complex problem-solving, necessitating the application of various learning algorithms and training methods to artificial intelligence systems. In addition, there is a dearth of performance evaluation of decision making agents. The decision making agent that can find optimal solutions by using reinforcement learning methods designed through this research can collect raw pixel data observed from dynamic environments and make decisions by itself based on the data. The decision making agent uses convolutional neural networks to classify situations it confronts, and the data observed from the environment undergoes preprocessing before being used. This research represents how the convolutional neural networks and the decision making agent are configured, analyzes learning performance through a value-based algorithm and a policy-based algorithm : a Deep Q-Networks and a Policy Gradient, sets forth their differences and demonstrates how the convolutional neural networks affect entire learning performance when using pixel data. This research is expected to contribute to the improvement of artificial intelligence systems which can efficiently find optimal solutions by using features extracted from raw pixel data.