• Journal of The Korea Institute of Healthcare Architecture
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• v.27 no.4
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• pp.41-50
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• 2021

Purpose: This study is aimed at the case of the cognitive health design pilot projects promoted by the Seoul Metropolitan Government since 2014 in terms of design to solve social problems in accordance with the aging population of our society. The purpose of this study is to analyze the maintenance and management of the projects and to suggest implications for the promotion and expansion of sustainable cognitive health design in the future. Method: It set the analysis frame by dividing management into maintenance-damage-demolition for the spatial types and spatial elements suggested in the Seoul Cognitive Health Guidelines. And it analyze the actual conditions of four pilot projects based on the field survey. Results: First, the ratio of damage and demolition was higher than maintenance. Second, designs and techniques with low durability were applied. Most of the cases where floor marks were applied to the external environment were lost or difficult to recognize, and their functions were limited due to storage of goods and parking of vehicles and motorcycles. Third, there was a large variation according to the type of residence. The project contents that can be applied to the low-rise residential area were also limited, and more elements were demolished than in the apartment type. Implications: First, it should limit project contents of space types and space elements that can be maintained even over time. Second, it should seek sustainable design and technical solutions. Third, it should seek alternatives to cognitive health design in low-rise residential areas where a large number of elderly people live.

• Transactions of the Korean Society of Pressure Vessels and Piping
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• v.17 no.1
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• pp.36-48
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• 2021

As the material aging of nuclear power plants has been progressing in domestic and overseas, crack growth becomes one of the most important issues. In this respect, the crack growth assessment has been considered an essential part of structural integrity. The crack growth assessment for nuclear power plants has been generally performed based on ASME B&PV Code, Sec. XI but the idealization of crack shape and the conservative solutions of stress intensity factor (SIF) are used. Although finite element analysis (FEA) based on iterative crack growth analysis is considered as an alternative method to simulate crack growth, there are yet no guidelines to model the crack-tip spider-web mesh for such analysis. In this study, effects of various meshing factors on FE SIF calculation are systematically examined. Based on FEA results, proper criteria for spider-web mesh in crack-tip are suggested. The validation of SIF calculation method through mapping initial stress field is investigated to consider initial residual stress on crack growth. The iterative crack-tip modeling program to simulate crack growth is developed using the proposed criteria for spider-web mesh design. The SIF results from the developed program are validated by comparing with those from technical reports of other institutes.

• Convergence Security Journal
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• v.23 no.1
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• pp.125-137
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• 2023

Companies that handle sensitive information, led by public institutions, establish separate networks for work and the Internet and protect important data through strong access control measures to prevent cyber attacks. Therefore, systems that involve the junction where the Intranet(internal LAN for work purposes only) and the Internet network are connected require the establishment of a safe security environment through both administrative and technical measures. Mobile Device Management(MDM) solutions to control mobile devices used by institutions are one such example. As this system operates by handling sensitive information such as mobile device information and user information on the Internet network, stringent security measures are required during operation. In this study, a model was proposed to manage sensitive information data processing in systems that must operate on the Internet network by managing it on the internal work network, and the function design and implementation were centered on an MDM solution based on a network interconnection solution.

• Proceedings of the Korea Water Resources Association Conference
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• 2022.05a
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• pp.505-505
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• 2022

This study shows the first output of the three-year project (2021-2023) to develop a Smart Water City (SWC) Global Standard and Certification Scheme ley by K-water, International Water Resources Association (IWRA) and Asia Water Council (AWC). There are three major parts in the first year. In Part 1, it investigates the essential features of cities today and details the water challenges currently faced and likely to be confronted in the future. It also investigates the functions that water fulfills in the urban environment, and how ICTs can contribute to improving those functions by each Urban Water Cycle. A definition of a Smart Water City is proposed following a discussion on the meaning of "smart development". This part of the report also presents different city cases from countries around the world to illustrate the urban water challenges and the technological and non-technological solutions that cities have put in place, including national and/or local policies and strategies. In Part 2, it defines what global standards indicators and certification schemes are and identifies their characteristics. Especially, it analyses in detail eight relevant standards and certification schemes measuring sustainable development and/or water resources management in urban settings. Standards elaborated by international organizations are distinguished from those developed by the private sector, non-governmental organizations, and by academia. Finally, this study suggests the right direction to develop SWC global standard frameworks and certification schemes. And then, it shows the main tasks for the Stage 2 (second year) project. Basically, the framework for a future SWC standard (consisting three main pillars: Technical, Governance and Prospective pillars) will be fully defined in Stage 2.

• Journal of the Korea Institute of Building Construction
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• v.23 no.6
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• pp.809-820
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• 2023

In contemporary society, there is a notable rise in single-person households, coupled with an increased demand for residential spaces, necessitating the exploration of suitable housing solutions. Modular architecture is gaining prominence as a method to deliver cost-effective and sustainable living spaces efficiently. This study introduces a method for optimizing the design and construction processes of modular building units through Building Information Modeling(BIM) technology. It involves an analysis of factors that enhance living quality and meet the housing needs of single-person households. Utilizing BIM, a resource-efficient and cost-efficient modular apartment unit has been developed. BIM facilitates the visualization and integration of architectural components, thereby reducing design errors and enhancing productivity. This research evaluates both the benefits and constraints of modular architecture. Modular constructions, when combined with BIM, emerge as a potent solution for housing challenges, enriching the quality and variety of residential options. Nevertheless, considerations such as technical prerequisites and financial implications are also discussed. The study showcases the potential and merits of utilizing BIM for designing apartment units tailored to single-person households, offering a viable approach to ameliorate their living conditions.

• Journal of the Korean Recycled Construction Resources Institute
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• v.12 no.1
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• pp.40-46
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• 2024

A novel approach is presented to address issues associated with the use of strong acidic solutions for the leaching of magnesium oxide (MgO) from spent magnesia-carbon refractories. An ultrasonic flotation and separation process is employed, with a mildly acidic solvent, acetic acid, used to selectively chelate MgO from the spent refractories. When using 2 M acetic acid as a solvent, the recovery of the graphite exhibited 99.7 % with high purity of 72.7 %, showing a significant improvement compared to using water as the solvent. Furthermore, the technology presented in this study offers a method for producing magnesium acetate through the reaction of MgO in spent refractory with acetic acid, providing a means for the purification and separation of graphite.

• The Journal of the Institute of Internet, Broadcasting and Communication
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• v.24 no.3
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• pp.69-76
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• 2024

This dissertation developed a five-story vertical livestock and fisheries farm (palm tower) model for sustainable food production in cities. It proposes to integrate marine farms, livestock raising, and pesticide-free automated crop farms to efficiently use resources and minimize environmental impact. Based on circular economy principles, the model can recycle the output of each part into resources from the other, increasing the efficiency of the system, utilizing idle space in the city, and promoting job creation and community participation. It can also contribute to reducing the carbon footprint of food production and improving food safety. In addition, the study explores how advanced agricultural technologies can be integrated into urban structures to address global food security challenges. This model presents potential solutions to the food crisis caused by climate change and population growth, and suggests a direction for the development of urban agriculture. Future research should address the technical and policy challenges for practical implementation.

• Information Systems Review
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• v.25 no.2
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• pp.163-180
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• 2023

Based on the Technology-Organization-Environment (TOE) model, this study proposed a research model that explains the continuance intention of users in the with Covid-19 era considering the technical, organizational, and environmental aspects of Remote Work Solution (RWS). To verify the research model and hypothesis, an online survey was conducted on domestic RWS users. Partial least squares (PLS) were utilized to analyze the collected 411 data. As a result of the analysis, it was found that functionality and security level had positive impacts on both productivity improvement and satisfaction. However, it was also confirmed that organizational readiness had a positive effect on productivity improvement but did not affect satisfaction. Furthermore, the results revealed that government support had a positive relationship with continuance intention, but the health concerns did not. Finally, the correlations between productivity improvement, satisfaction, and continuous intention were confirmed to be significant. Therefore, 9 out of a total of 11 hypotheses were supported.

• Steel and Composite Structures
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• v.52 no.6
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• pp.621-626
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• 2024

The work researched the application of artificial intelligence to the design and analysis of advanced nanoplates, with a particular emphasis on size and surface effects. Employing an integrated theoretical framework, this study developed a more accurate model of complex nanoplate behavior. The following analysis considers nanoplates embedded in a Pasternak viscoelastic fractional foundation and represents the important step in understanding how nanoscale structures may respond under dynamic loads. Surface effects, significant for nanoscale, are included through the Gurtin-Murdoch theory in order to better describe the influence of surface stresses on the overall behavior of nanoplates. In the present analysis, the modified couple stress theory is utilized to capture the size-dependent behavior of nanoplates, while the Kelvin-Voigt model has been incorporated to realistically simulate the structural damping and energy dissipation. This paper will take a holistic approach in using sinusoidal shear deformation theory for the accurate replication of complex interactions within the nano-structure system. Addressing different aspectsof the dynamic behavior by considering the length scale parameter of the material, this work aims at establishing which one of the factors imposes the most influence on the nanostructure response. Besides, the surface stresses that become increasingly critical in nanoscale dimensions are considered in depth. AI algorithms subsequently improve the prediction of the mechanical response by incorporating other phenomena, including surface energy, material inhomogeneity, and size-dependent properties. In these AI- enhanced solutions, the improvement of precision becomes considerable compared to the classical solution methods and hence offers new insights into the mechanical performance of nanoplates when applied in nanotechnology and materials science.

• International conference on construction engineering and project management
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• 2024.07a
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• pp.293-302
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• 2024

The rapid emergence of Artificial Intelligence (AI) across diverse sectors has also made its presence felt in the construction sector, where its adoption is gaining momentum at a remarkable pace. The anticipated impact of AI on decision-making processes pertinent to construction project management is considerable, necessitating a holistic understanding of AI's potential applications. As a first step towards that goal, this paper conducts a systematic literature review and in-depth content analysis of existing literature related to the applications of AI in the context of construction project management. The authors selected journal papers, technical papers, and conference proceedings published between 2010 and 2023 on the topic of Artificial Intelligence for construction project management applications. Additionally, the authors also reviewed several industry and trade publications in the same topic area. The search resulted in more than 200 relevant articles, after which the authors conducted a thorough content analysis. The results categorized applications of AI in construction project management across categories: construction productivity, construction safety, construction quality, construction document management, and construction site planning. Additionally, the review identified the current trends of AI applications in construction project management, advantages, and challenges to implementation. Understanding AI applications, advantages, and challenges to implementation helps contractors gain new insights into the efficient implementation of AI for various project management purposes.