• International Journal of High-Rise Buildings
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• v.12 no.3
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• pp.225-234
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• 2023

Even at this point in the era of digital transformation, we are still facing many problems in the safety sector that cannot prevent the occurrence or spread of human casualties. When you are in an unexpected emergency, it is often difficult to respond only with human physical ability. Human casualties continue to occur at construction sites, manufacturing plants, and multi-use facilities used by many people in everyday life. If you encounter a situation where normal judgment is impossible in the event of an emergency at a life site where there are still many safety blind spots, it is difficult to cope with the existing manual guidance method. New variable guidance technology, which combines artificial intelligence and digital twin, can make it possible to prevent casualties by processing large amounts of data needed to derive appropriate countermeasures in real time beyond identifying what safety accidents occurred in unexpected crisis situations. When a simple control method that divides and monitors several CCTVs is digitally converted and combined with artificial intelligence and 3D digital twin control technology, intelligence augmentation (IA) effect can be achieved that strengthens the safety decision-making ability required in real time. With the enforcement of the Serious Disaster Enterprise Punishment Act, the importance of distributing a smart location guidance system that urgently solves the decision-making delay that occurs in safety accidents at various industrial sites and strengthens the real-time decision-making ability of field workers and managers is highlighted. The smart location guidance system that combines artificial intelligence and digital twin consists of AIoT HW equipment, wireless communication NW equipment, and intelligent SW platform. The intelligent SW platform consists of Builder that supports digital twin modeling, Watch that meets real-time control based on synchronization between real objects and digital twin models, and Simulator that supports the development and verification of various safety management scenarios using intelligent agents. The smart location guidance system provides on-site monitoring using IoT equipment, CCTV-linked intelligent image analysis, intelligent operating procedures that support workflow modeling to immediately reflect the needs of the site, situational location guidance, and digital twin virtual fencing access control technology. This paper examines the limitations of traditional fixed passive guidance methods, analyzes global technology development trends to overcome them, identifies the digital transformation properties required to switch to intelligent variable smart location guidance methods, explains the characteristics and components of AI-based public facility smart fire safety integrated system (ISFS).

• Journal of Digital Contents Society
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• v.15 no.2
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• pp.227-235
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• 2014

The change from people's work-centered values to their leisure-centered values leads into the change in their life styles. In the circumstance, people's participation into sports activities seems to be an important means to improve their quality of life. Along with the change of the times, more people take part in water leisure sports including kayak. As a result, people's needs for various designs of water leisure goods are on the rise. In this sense, it is necessary to come up with strategies to actively respond to such a change. In this paper, we proposed a user decision-making support system for designing kayaks for leisure. Based on the previous studies and literatures and a questionnaire survey with consumers, it chose the sensitivity related to design. By conducting factor analysis and evaluation, it drew sensitivity and proposed kayak design layouts in the aspect of customer sensitivity preference. It is expected that the result of this study will be used not only for kayak design, but as a design guide for the equipment of water leisure sports, and will be applied for user-friendly design.

• Journal of the Korean Society of Environmental Restoration Technology
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• v.21 no.2
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• pp.39-51
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• 2018

Long-term unexecuted urban parks will be released from urban planning facilities after 2020, this may result in development of those parks. However, little research have been focused on how to develop those parks considering conservation, development, spatial pattern, and so on. Therefore, in this study, we suggested an optimization planning model that minimizes the fragmentation while maximizing the conservation and development profit using ACO (Ant Colony Optimization). Our study area is Suwon Yeongheung Park, which is long-term unexecuted urban parks and have actual plan for private development in 2019. Using our optimization planning model, we obtained four alternatives(A, B, C, D), all of which showed continuous land use patterns and satisfied the objectives related to conservation and development. Each alternative are optimized based on different weight combinations of conservation, development, and fragmentation, and we can also generated other alternatives immediately by adjusting the weights. This is possible because the planning process in our model is very fast and quantitative. Therefore, we expected our optimization planning model can support "spatial decision making" of various issue and sites.

• Journal of the Korea Institute of Information and Communication Engineering
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• v.20 no.8
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• pp.1415-1421
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• 2016

There are considerable concern on the methods for the efficient utilization of the test-resources as increasing of the number of the tests for functionality and performance verification of weapon systems. Furthermore, with an increase in the complexity of the resource assignment the decision support is required. Test resource allocation is basically the same problems as conventional NP-hard FJSP(Flexible Job Shop Problem), therefore empirical test resource allocation method that has been used in many decades is limited in the time performance. Although research has been conducted applying the genetic algorithm to the FJSP, it is limited in the test resource allocation domain in which more than one machine is necessary for a single operation. In this paper, a variable group genetic algorithm is proposed. The algorithm is expected to improve the test plan efficiency by automating and optimizing the existing manual based allocation. The simulation result shows that the algorithm could be applicable to the test plan.

• Journal of the Korea Academia-Industrial cooperation Society
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• v.16 no.10
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• pp.6751-6758
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• 2015

The Special Act on Safety Control for Infrastructure was enacted in 1995 to contribute to ensuring the public safety and welfare improvement of Korean people. In addition, the FMS has been developed and operated to manage facilities effectively. However, several problems of the FMS have also occurred. Thus, this study aimed to analyze the FMS and related systems scrutinizingly to suggest improvement directions such as (1) extension of the FMS into the national facility information management system including small-size facilities other than Types 1 and 2 facilities, (2) development and promote standardized inspection and diagnosis systems as per facility type, (3) development of the database utilization system including decision making support function for management body, and (4) providing the FMS performance improvements and stable operating environment utilizing latest information technologies. If the improvement directions suggested in this study are adopted, they can improve services for Korean people by providing facility safety and maintenance work parties with optimum information services.

• Korean Journal of Construction Engineering and Management
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• v.19 no.4
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• pp.82-92
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• 2018

Considering that earlier stage of construction project has a great influence on the possibility of lowering of environmental load, it is important to build and utilize system that can support effective decision making at the initial stage of the project. In this study, we constructed an environmental load estimation model that can be used at the early stage of the project using basic design factors. The model was constructed by using the artificial neural network to estimate environmental load by applying to planning stage (ANN-1), basic design stage (ANN-2). The result of test, shows that average of absolute measuring efficiency and standard deviation of ANN-1 and ANN-2 were 11.19% / 5.30% and 9.59% / 3.09% each. This result indicates that the model using the input variables extended with the project progress has high reliability and it is considered to be effective in decision support at the initial design stage of the project.

• Journal of Environmental Impact Assessment
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• v.12 no.1
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• pp.23-34
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• 2003

The emergency response modeling system CARIS has been developed at CCSM (Center for Chemical Safety Management), NIER (National Institute of Environmental Research) to track and predict dispersion of hazardous chemicals for the environmental decision support in case of accidents at chemical or petroleum companies in Korea. The main objective of CARIS is to support making decision by rapidly providing the key information on the efficient emergency response of hazardous chemical accidents for effective approaches to risk management. In particular, the integrated modeling system in CARIS consisting of a real-time numerical weather forecasting model and air pollution dispersion model is supplemented for the diffusion forecasts of hazardous chemicals, covering a wide range of scales and applications for atmospheric information. In this paper, we introduced the overview of components of CARIS and described the operational modeling system and its configurations of coupling/integration in CARIS. Some examples of the operational modeling system is presented and discussed for the real-time risk assessments of hazardous chemicals.

• Journal of Information Technology Applications and Management
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• v.29 no.3
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• pp.1-23
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• 2022

This study is about the change in the importance of shopping value for beauty products of social commerce due to the social crisis or risk caused by COVID-19. It was analyzed focusing on whether the importance of shopping value changed before and after COVID-19. We checked the importance of shopping value after COVID-19 through the AHP results of previous papers before COVID-19, and analyzed the importance by adding variables of risk reduction behavior and delivery convenience according to the situation of COVID-19. The AHP method was used to check the change in the importance of shopping value before and after COVID-19, and the study was conducted using 48 data. The results were as follows. As for the importance of shopping value of social commerce beauty products, it was ranked in the order of time convenience, convenience of delivery, third-ranked trust business operators, fourth-ranked economic aspects, fifth-ranked decision support, sixth-ranked risk reduction behavior, and seventh-ranked business reputation. Compared to previous studies, decision-making support, which was in the second place, fell to the fifth place. This result was confirmed to be a drop in ranking due to the improvement of delivery convenience due to the influence of COVID-19. In addition, in the case of beauty products, it was confirmed that risk reduction behavior related to COVID-19 infection is not a key factor in shopping value. These results confirmed changes in the importance of shopping value compared to pre-COVID-19 studies, and in the case of product groups other than beauty products, further studies are expected as there is a possibility of other results.

• Journal of the Semiconductor & Display Technology
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• v.23 no.1
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• pp.12-18
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• 2024

The accelerated pace of climate crisis due to continuous industrialization and greenhouse gas emissions necessitates sustainable solutions that simultaneously address mitigation and adaptation to climate change. Naturebased Solutions (NbS) have gained prominence as viable approaches, with Green Infrastructure being a representative NbS. Green Infrastructure involves securing green spaces within urban areas, providing diverse climate adaptation functions such as removal of various air pollutants, carbon sequestration, and isolation. The proliferation of Green Infrastructure is influenced by the quantification of improvement effects related to various projects. To support decision-making by assessing the climate vulnerability of Green Infrastructure, the U.S. Department of Agriculture (USDA) has developed i-Tree Tools. This study proposes a comprehensive evaluation approach for climate change adaptation types by quantifying the climate adaptation performance of urban Green Infrastructure. Using i-Tree Canopy, the analysis focuses on five urban green spaces covering more than 30 hectares, considering the tree ratio relative to the total area. The evaluation encompasses aspects of thermal environment, aquatic environment, and atmospheric environment to assess the overall eco-friendliness in terms of climate change adaptation. The results indicate that an increase in the tree ratio correlates with improved eco-friendliness in terms of thermal, aquatic, and atmospheric environments. In particular, it is necessary to prioritize consideration of the water environment sector in order to realize climate change adaptive green infrastructure, such as increasing green space in urban areas, as it has been confirmed that four out of five target sites are specialized in improving the water environment.

• Korean Journal of Organic Agriculture
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• v.31 no.1
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• pp.45-61
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• 2023

The subject of this study is whether the relevant ordinances of Chungcheongnam-do's five local governments, operating intermediary support organizations for contracted-out community building, comply with the regional innovation and cooperative governance-based perspective. The examination results are summarized as follows. About the normative system: first, village building does not present that it is a participation- and cooperation-based collective activity of various related actors; second, the cooperative governance-based implementation system was not presented as a key term; third, "numerous relevant subjects' participation" and "democratic decision-making and cooperative promotion" are not presented as basic principles; fourth, the subjects are limited to residents and the administration, and only their responsibilities are presented. About the effectiveness system: first, the establishment of a master plan, a primary means, and the establishment of an in-charge department and collaboration system in the administration are presented as optional provisions; second, the nature of the relevant committees and intermediary support organizations is not presented as "public-private cooperation-based system"; third, the area of the function and authority of the relevant committees is limited to review and consultation. Fourth, the related information about the intermediary support organization structure and system, the establishment and operation of the secretariat, and the practical operation of the center is not presented. In sum, to make related ordinances become institutional grounds with stronger effectiveness, reconstructing them by strictly applying the perspectives of regional innovation and cooperative governance is necessary.