• The Journal of the Korea institute of electronic communication sciences
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• v.14 no.5
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• pp.825-836
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• 2019

The drone-type base station will be an optimal platform as a way of information sharing for efficient operation of the military force due to their high network flexibility. It is expected that the characteristics of the drone-type base station which would freely adjust the altitude can be used to offset the propagation attenuation characteristics of the millimeter-wave frequency band by securing the stable Line of Sight. In this paper, we proposed a framework for evaluation drone-type base station that can be utilized as a future military communication network by performing modeling for performance analysis that can reflect various factors.

• International conference on construction engineering and project management
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• 2022.06a
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• pp.1106-1113
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• 2022

Cost segregation helps reduce tax liabilities by reclassifying real property to personal property and accelerates tax depreciation of a property. A typical cost segregation study requires much time and high costs. This study proposed a BIM integrated cost segregation process that can be applied to any commercial building project. The proposed BIM-based cost segregation process was verified in a new commercial construction project. It approved that this approach can: (1) increase the cash flow for the owner and provide assistance to tax-paying enterprises; (2) enable the contractor to use it as an added value in the bidding process; (3) realize data sharing in a common platform to improve the cost segregation study efficiency and reduce costs and errors; (4) contribute to the asset management in the life cycle of buildings while filling in the blank of cost segregation process. Future studies will focus on the automation of cost segregation and asset management in building construction's life cycle.

• Journal of the Korean Society of Clothing and Textiles
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• v.46 no.6
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• pp.1039-1057
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• 2022

The fashion system has been criticized for relying on a linear economy to reduce short-term costs and increase profits. Meanwhile, the circular economy strives to expand the value chain through a closed loop for companies, society, and the environment by separating consumption from resources. This study aims to elucidate the strategic characteristics of the technological measures that fashion companies and brands are trying to innovate into a sustainable fashion system on the basis of the circular economy concept. Thus, we conducted case studies by dividing the value chain of the fashion system into design, production, and consumption to identify the technological development of the circular fashion system from a technologization perspective that incorporates technological values. First, design appeared to strengthen emotional durability, design and process with circulation in mind, and fashion product digitalization. Second, production manifested itself as material development for the new fiber economy, improvement of non-environmental processes, and customization of demand-driven, responsive production. Third, consumption was the spread of the environmental consumption culture through the sharing economy platform, the realization of a virtual wearing experience to prevent rapid disposal, and the provision of information on sustainable consumption.

• Journal of Ocean Engineering and Technology
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• v.37 no.5
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• pp.190-197
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• 2023

In the shipbuilding and marine industry, digital transformation activities are promoted primarily by large shipyards. However, bottlenecks are observed across value chains, and digital transformation effects are reducing because of the cost and technical challenges encountered by supplies. In this study, we proposed a win-win cooperation model for large, small, and medium-sized companies using digital transformation based on the characteristics of the shipbuilding and marine industry through case studies. We investigated the digital transformation progress in German and Korean small and medium-sized enterprises (SMEs). In addition, we identified information-sharing methods and management challenges encountered in enterprise resource planning and manufacturing execution systems in the collaboration process of pipes, panels, blocks, etc. of SMEs that are suppliers of a Korean shipyard, and clarified communication by building a platform based on a common format between shipyards and suppliers. Further, we proposed a standard model of a digital transformation system for enhancing the collaboration between large companies and suppliers and proposed a basic plan including strategies to efficiently and effectively build a digital transformation system based on the standard model.

• Korea Trade Review
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• v.47 no.5
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• pp.181-200
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• 2022

After the COVID-19 pandemic, a global economic downturn and a recession in the shipping market are expected, it is important for domestic shipping companies to establish appropriate strategy in response to the recession. Accordingly, domestic shipping companies should grow into integrated logistics companies that combine shipping and logistics in the future. And for this purpose, it is necessary to actively promote logistics integration with external shipping and logistics companies. This paper presents the direction of logistics integration for domestic shipping companies to develop as integrated logistics operators with competitiveness in the global shipping market, and presents detailed alternatives. Domestic shipping companies lack the infrastructure such as ships, port terminals, and warehouses, so they have a weak capacity to independently promote logistics integration. At the shipping company level, a logistics integration promotion strategy should be established, and accordingly, logistics infrastructure, service network, and logistics integration operating system should be established. The government should provide tax benefits for logistics integration, financial support for M&As led by domestic shipping companies, a standardized information sharing system, and preparation of educational courses for nurturing digital manpower.

• International Journal of Computer Science & Network Security
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• v.24 no.1
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• pp.209-214
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• 2024

This is an extended research paper focusing on the applications of Machine Learing and Artificial Intelligence in virtual learning environment. The world is moving at a fast pace having the application of Machine Learning (ML) and Artificial Intelligence (AI) in all the major disciplines and the educational sector is also not untouched by its impact especially in an online learning environment. This paper attempts to elaborate on the benefits of ML and AI in E-Learning (EL) in general and explain how King Khalid University (KKU) EL Deanship is making the best of ML and AI in its practices. Also, researchers have focused on the future of ML and AI in any academic program. This research is descriptive in nature; results are based on qualitative analysis done through tools and techniques of EL applied in KKU as an example but the same modus operandi can be implemented by any institution in its EL platform. KKU is using Learning Management Services (LMS) for providing online learning practices and Blackboard (BB) for sharing online learning resources, therefore these tools are considered by the researchers for explaining the results of ML and AI.

• The Journal of the Korea institute of electronic communication sciences
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• v.11 no.2
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• pp.125-138
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• 2016

Currently, there is increasing demand for weather information, however, providing meteorology and climate information is limited. In order to improve them, supporting the meteorology and climate big data platform use and training the meteorology and climate big data specialist who meet the needs of government, public agencies and corporate, are required. Meteorology and climate big data requires high-value usable service in variety fields, and it should be provided personalized service of industry-specific type for the service extension and new content development. To provide personalized service, it is essential to build the collaboration ecosystem at the national level. Building the collaboration ecosystem environment, convergence of marine policy and climate policy, convergence of oceanography and meteorology and convergence of R&D basic research and applied research are required. Since then, demand analysis, production sharing information, unification are able to build the collaboration ecosystem.

• Smart Structures and Systems
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• v.26 no.5
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• pp.559-573
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• 2020

One of the powerful data management tools is Building Information Modeling (BIM) which operates through obtaining, recalling, sharing, sorting and sorting data and supplying a digital environment of them. Employing SHM, a BIM in monitoring systems, would be an efficient method to address their data management problems and consequently optimize the economic aspects of buildings. The recording of SHM data is an effective way for engineers, facility managers and owners which make the BIM dynamic through the provision of updated information regarding the occurring state and health of different sections of the building. On the other hand, digital transformation is a continuous challenge in construction. In a cloud-based BIM platform, environmental and localization data are integrated which shape the Internet-of-Things (IoT) method. In order to improve work productivity, living comfort, and entertainment, the IoT has been growingly utilized in several products (such as wearables, smart homes). However, investigations confronting the integration of these two technologies (BIM and IoT) remain inadequate and solely focus upon the automatic transmission of sensor information to BIM models. Therefore, in this composition, the use of BIM based on SHM and IOT is reviewed and the economic application is considered.

• Journal of the Korean Society for Library and Information Science
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• v.57 no.3
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• pp.303-323
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• 2023

The purpose of this study is to introduce this language model in the era of generative AI such as ChatGPT, and to provide direction for data literacy education components in libraries using it. To this end, the following three research questions are proposed. First, the technical features of ChatGPT-like language models are examined, and then, it is argued that data literacy education is necessary for the proper and accurate use of information by users using a service platform based on generative AI technology. Finally, for library data literacy education in the ChatGPT era, it is proposed a data literacy education scheme including seven components such as data understanding, data generation, data collection, data verification, data management, data use and sharing, and data ethics. In conclusion, since generative AI technologies such as ChatGPT are expected to have a significant impact on users' information utilization, libraries should think about the advantages, disadvantages, and problems of these technologies first, and use them as a basis for further improving library information services.

• Journal of the Korea Institute of Information Security & Cryptology
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• v.27 no.2
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• pp.181-192
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• 2017

Internet of Things includes the whole process of collected information generated from a variety of objects, as well as analyzing and sharing it, and providing useful information services to people. This study seeks ways to improve security and safety in the areas of service security technology, ID management technology and service access control, all of which take place in the IoT environment. We have implemented the services that can design and issue C&C (Certificate and Capability) service token authentication, which is based on a public key, to improve the service security. In addition, we suggest LCRS (Left Child-Right Sibling) resource model management for the efficient control of resources when generating the resource services from the data collected from node devices. We also implemented an IoT services platform to manage URL security of the resource services and perform access control for services.