• Korean Journal of Remote Sensing
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• v.38 no.5_2
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• pp.725-735
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• 2022

Currently, disasters occurring in Korea are characterized by unpredictability and complexity. Due to these features, property damage and human casualties are increasing. Since the initial response process of these disasters is directly related to the scale and the spread of damage, optimal decision-making is essential, and information of the site must be obtained through timely applicable sensors. However, it is difficult to make appropriate decisions because indiscriminate information is collected rather than necessary information in the currently operated Disaster and Safety Situation Office. In order to improve the current situation, this study proposed a framework that quickly collects various disaster image information, extracts information required to support decision-making, and utilizes it. To this end, a web-based display system and a smartphone application were proposed. Data were collected close to real time, and various analysis results were shared. Moreover, the capability of supporting decision-making was reviewed based on images of actual disaster sites acquired through CCTV, smartphones, and UAVs. In addition to the reviewed capability, it is expected that effective disaster management can be contributed if institutional mitigation of the acquisition and sharing of disaster-related data can be achieved together.

• Nuclear Engineering and Technology
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• v.49 no.5
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• pp.896-904
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• 2017

Several Generation IV nuclear reactor concepts have goals for optimizing investment recovery through phased introduction of multiple units on a common site with shared facilities and/or reconfigurable energy conversion systems. Additionally, small modular reactors are suitable for remote deployment to support highly localized microgrids in isolated, underdeveloped regions. The long-term economic viability of these advanced reactor plants depends on significant reductions in plant operations and maintenance costs. To accomplish these goals, intelligent control and diagnostic capabilities are needed to provide nearly autonomous operations with anticipatory maintenance. A nearly autonomous control system should enable automatic operation of a nuclear power plant while adapting to equipment faults and other upsets. It needs to have many intelligent capabilities, such as diagnosis, simulation, analysis, planning, reconfigurability, self-validation, and decision. These capabilities have been the subject of research for many years, but an autonomous control system for nuclear power generation remains as-yet an unrealized goal. This article describes a functional framework for intelligent, autonomous control that can facilitate the integration of control, diagnostic, and decision-making capabilities to satisfy the operational and performance goals of power plants based on multimodular advanced reactors.

• Asian Pacific Journal of Cancer Prevention
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• v.15 no.16
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• pp.6499-6504
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• 2014

Health information-seeking behavior (HISB) is active need-fulfillment behavior whereby health information is obtained from diverse sources, such as the media, and has emerged as an important issue within the transforming medical environment and the rise of medical consumers. However, little is known about the factors that affect HISB and its associations, and the health outcome of HISB. The aim of this study was to examine individual and social contextual factors associated with HISB and to systematically review their effects on health status among post-treatment cancer patients. Individual determinants of HISB included demographic factors, psychosocial factors, perceived efficacy and norms, and health beliefs. Contextual determinants of HISB encompassed community characteristics, neighborhood social capital, and media advocacy. Improving through factors on these two levels, HISB raised individuals' self-care management skills and medical treatment compliance, and enhanced shared decision-making and medical treatment satisfaction. Moreover, because HISB can differ according to individuals' social contextual conditions, it can give rise to communication inequalities. Because these can ultimately lead to health disparities between groups, social interest in HISB and balanced HISB promotion strategies are necessary.

• Journal of the Korea Safety Management & Science
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• v.17 no.1
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• pp.241-256
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• 2015

Numbers of successful companies in the world develop The core values of action in order to produce effective human resource management and organization culture. Core values are belief, and values that are shared by all members to maintain organization. Also, The core values function as to inspire motivation and decision making for organization's identity and assist to settle their own unique culture. Therefore, this study is to figure out the effect of core values to the members of organization and management performance from small and medium company that is comparatively less focused to settle their own core values.

• Asian Journal of Innovation and Policy
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• v.6 no.3
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• pp.295-312
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• 2017

The purpose of this case study is to understand the sustainability practices of knowledge transfer process at the Malaysian government-industry-academia consortium. At this stage in the research, the R&D consortium is defined as an established entity by two or more organizations that pool resources and shared decision making for cooperative research and development activities. In attempts to understand the formation, outcomes and sustainability of the sustainable knowledge transfer process, this paper conducted a systematic literature review based on Gough, Oliver and Thomas systematic reviews protocol. From the review, the data were enriched and enhanced with a better understanding of sustainable knowledge transfer process. The systematic review resulted in identifying six factors including internal and external perspectives. However, key sustainability factors are not only directly influencing KTP, and the consortium, but are also mediated by other organisational variables.

• Journal of Applied Reliability
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• v.10 no.1
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• pp.73-91
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• 2010

All activities relate to railway traffic involve risk and that these arise from a combination of the nature of operating activities. Proper management system is required to provide the organizational capability to reveal, analyse and address these weaknesses over time and in reasonably practicable ways, which will determine the rate at which risks can be further reduced. This paper presents a systematic risk analysis approach to safety planning and decision making, informed by a range of risk assessment techniques. An railway organization's safety management system is also presented that shows the approaches taken to minimize the external risks, and identify the shared risks and explain how they will be controlled through collaboration with others.

• 한국IT서비스학회:학술대회논문집
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• 2008.11a
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• pp.204-207
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• 2008

본 논문에서는 효율적인 의사결정 지원을 위해 SHADE 기반의 공유 데이터 접근 활동들에 대한 절차를 제안한다. 먼저 SHADE에 대한 개념 및 기술구조를 제시하고 공유 데이터 접근을 위해 요구되는 핵심 기술, 즉 데이터 디렉토리 서비스 기술, 데이터 미디에이션, 복제 기술에 대한 개념과 특징을 분석한다. 그런 다음 SHADE 기술구조 하에 효율적으로 공유 데이터에 접근할 수 있도록 4개 활동 각각에 대해 절차를 제안한다. 제안한 절차에는 5단계의 디렉토리 서비스 및 4단계의 검색 절차, 데이터 미디에이션을 이용한 5단계의 데이터 중개 절차, 미들웨어를 이용한 7단계의 실시간 데이터 교환 및 4단계의 데이터 복제절차가 각각 포함된다. 향후 제안한 공유 데이터 접근 절차를 통해 정보체계 간 데이터 연결 능력이 향상될 뿐만 아니라 이를 통해 정확하고, 신속한 의사결정 지원에 도움을 줄 것으로 기대한다.

• Proceedings of the Korea Inteligent Information System Society Conference
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• 2004.11a
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• pp.211-220
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• 2004

This paper suggests a collaborative business process between the companies that each has a restricted physical branch in its own area and wants to extend globally sales and delivery service. The companies integrate their business processes for sales and delivery using a shared product taxonomy table. We also suggest a similar product finding algorithm to make the product taxonomy table that defines product relationships to exchange them between the companies. The main idea of the proposed algorithm is using a multi-attribute decision making (MADM) to find the utility values of products in a same product class of the companies. Using the values we determine what products are similar. It helps the product manager to register the similar products into a same product sub-category. The companies then allow consumer to shop and purchase the products at their own residence site and deliver them or similar products to another sites.

• Proceedings of the Korean Institute of Intelligent Systems Conference
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• 1993.06a
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• pp.1137-1140
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• 1993

A dynamic-structure system is one that has the flexibility to change the system configuration automatically so as to operate in an optimal manner. A conceptural model for a dynamic-structure system is presented in this paper. In this model, the interchangeable components of the overall system are grouped together. Their activity levels are evaluated by an intelligent preprocessor that is associated with the group. A knowledge-based task distribution system evaluates the activity levels and makes decisions as to how the components operating below capacity should be shared with workcells that have similar components that are overloaded. Associated decision making can be effected through fuzzy logic and particularly the compositional rule of inference. A simulation example is given to illustrate the application of dynamic structuring.

• Proceedings of the Korea Information Processing Society Conference
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• 2011.04a
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• pp.78-80
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• 2011

In the area of data fusion, dealing with heterogeneous data sources, numerous models have been proposed in last three decades to facilitate different application domains i.e. Department of Defense (DoD), monitoring of complex machinery, medical diagnosis and smart buildings. All of these models shared the theme of multiple levels processing to get more reliable and accurate information. In this paper, we consider five most widely acceptable fusion models (Intelligence Cycle, Joint Directors of Laboratories, Boyd control, Waterfall, Omnibus) applied to different areas for data fusion. When they are exposed to a real scenario, where large dataset from heterogeneous sources is utilize for object monitoring, then it may leads us to non-efficient and unreliable information for decision making. The proposed variation works better in terms of time and accuracy due to prior data diminution.