• Journal of Korean Society of Archives and Records Management
• /
• v.22 no.1
• /
• pp.237-243
• /
• 2022

Seongbuk Village Archive is a village archive built by Seongbuk-gu Office and Seongbuk Cultural Center to contain the uniqueness and specificity of the region. It is a community archive that preserves the records of the community and a digital archive that builds a database through the digitalization of source data. The management system and home page were established through annual and step-by-step promotion through public-private governance. Seongbuk Village Archive's system is designed to facilitate data accumulation and connection between individual records based on the advanced village record standard classification system. Based on this, Seongbuk Cultural Center tried to produce convergence cultural content by linking records online and off-line. In addition, the composition of items displayed on the website has been diversified to not only preserve records but also produce and utilize content. It is a structure created after contemplating how to show the creation and existence of Seongbuk's historical and cultural resources to users in context. In addition, a richer archive platform was built through various curations and activities of the resident record group.

• The Journal of the Institute of Internet, Broadcasting and Communication
• /
• v.22 no.1
• /
• pp.15-20
• /
• 2022

With the arrival of the fourth industrial era, demand for agriculture is increasing day by day, and smart farm technology, in which computers manage agriculture in line with the current situation, is developing. However, agricultural workers who use it find it difficult to set up and use a management system for smart farms. This paper aims to establish a Lab-View smart farm management system to facilitate the use of a control program for ICT technology farms (hereinafter referred to as smart farms), one of the promising projects of the next industrial revolution. Based on Lab-View, users simply set the type of crops they want to grow, set appropriate temperature/humidity data for each set crop, and collect data in real time through sensors and store it in DB. This functionality maximizes convenience and usability in terms of users.

• Knowledge Management Research
• /
• v.23 no.2
• /
• pp.1-13
• /
• 2022

Metaverse has been encountering in our daily lives, and it has dynamically changed people's way of working, educating, and entertaining. During the Covid-19, people has been more immersed with virtual world. For example, the virtual environments have created new form and features of our remote work, online education, entertainment, and so on. Also, some people make a strong tie with their avatar to live in a virtual world. Indeed, it became a new normal life now. With this radical social and technological change, the metaverse has become a core issue for the communities of researchers and practitioners as well, and a variety of meaningful research and products have been conducted so far. Nevertheless, it still is lack of diverse theoretical, empirical, and practical studies, dealing with this huge socio-technical shift with the metaverse. Therefore, in this special issue commentary, we suggest potential metaverse research issues and topics, which highlight how management, organization, and information systems researchers could dance with the ongoing metaverse ecosystem for creating more productive research performances.

• Journal of the Korea Society of Computer and Information
• /
• v.28 no.7
• /
• pp.179-187
• /
• 2023

Consumer trust plays a crucial role in the development of the sharing economy. This study primarily focuses on the factors influencing consumer trust and examines the case of ofo, a former leader in China's bike-sharing industry. This paper analyzes the decline in consumer trust in ofo, which can be attributed to internal management issues and the near-bankruptcy situation. The "difficulty in refunds" issue faced by ofo since December 2018 has been growing continuously, and this study explores the factors influencing trust and distrust in this context. By considering product factors (quality), platform factors (payment security, privacy protection, reputation), and social factors (social norms, government regulation) as independent variables, the study analyzes the factors affecting consumer trust. The analysis results revealed that as consumers' distrust towards shared bikes increases, their switching intention also increases. The company's reputation and social norms were found to influence both trust and distrust, while government regulation was found to influence trust. The research findings provide insights relevant to sharing economy platforms and offer guidance for future studies.

• The Journal of the Korea Contents Association
• /
• v.22 no.5
• /
• pp.247-260
• /
• 2022

This paper investigates plans to expand distribution channels for books by installing a book vending machine at convenience stories for the vitalization of the publishing culture and industry. After establishing the meaning of convenience stories and the concept of a book vending machine, the researcher identified a need for the installation and management of a book vending machine at convenience stories. This plan will promote fairness and transparency in book sales through the convenience store system and push forward outsourcing between the publishing industry and the convenience store industry, the expansion of omnichannel service for consumers, and experiential values for clients to increase their customer satisfaction. The composition of the book vending machine will take the smart library form for its management with a universal design applied to a kiosk program. In the study, the researcher schematized this process and conducted a survey with 310 adults to search for practical management plans for a book vending machine. In the future, more research on the diversification of sales and distribution channels for publications such as the installation of a book vending machine at convenience stores will hopefully contribute to the growing amount of reading per capita and promotion of a reading environment for people according to the vitalization of the publishing culture and industry.

• Convergence Security Journal
• /
• v.23 no.2
• /
• pp.67-74
• /
• 2023

An elevator is a mechanical and electronic device composed of about 20,000 various parts, and is systematically operated with a close relationship with each other. By intuitively understanding this complex elevator structure and efficiently recognizing the operating model, it will be possible to increase the understanding of the elevator system and the efficiency of maintenance. The existing elevator management system is a process of collecting and understanding information based on data generated from elevators, and has a structure that lacks efficiency in expressing and managing real-world information during elevator maintenance. Therefore, this paper proposes a simulator framework that can operate efficiently based on the actual elevator model. By constructing the recognition of specific objects through a 3D-based service model and visualizing the operation process, it will be possible to enhance the understanding of the structure and operation required for elevator operation. To this end, the core components of the elevator system are identified, the relationship between them and the operating method are visualized, and a simulator is implemented. Based on this, it will be possible to provide a realistic information management and operating environment in virtual space and real platform.

• International conference on construction engineering and project management
• /
• 2017.10a
• /
• pp.32-41
• /
• 2017

Accidents on offshore oil and gas platforms (OOGPs) usually cause serious fatalities and financial losses considering demanding environment platforms locate and complex topsides structure platforms own. Evacuation planning on platforms is usually challenging. The computational tool is a good choice to plan evacuation by emergency simulation. However, the complex structure of platforms and varied evacuation behaviors usually weaken the advantages of computational simulation. Therefore, this study developed a simulation model for OOGPs to evaluate different evacuation plans to improve evacuation performance by integrating building information modeling (BIM) and agent-based model (ABM). The developed model consists of four parts: evacuation model input, simulation environment modeling, agent definition, and simulation and comparison. Necessary platform information is extracted from BIM and then used to model simulation environment by integrating matrix model and network model. During agent definition, in addition to basic characteristics, environment sensing and dynamic escape path planning functions are also developed to improve simulation performance. An example OOGP BIM topsides with different emergent scenarios is used to illustrate the developed model. The results showed that the developed model can well simulate evacuation on OOGPs and improve evacuation performance. The developed model was also suggested to be applied to other industries such as the architecture, engineering, and construction industry.

• International conference on construction engineering and project management
• /
• 2013.01a
• /
• pp.640-647
• /
• 2013

Building Information Modelling (BIM) has become the new international benchmark for efficiency in design, construction and maintenance of buildings. It is the platform that brings about collaboration between project stakeholders and improvement of project outcomes. With all its potentials, not much of the impact of BIM technologies has been felt in the Nigerian construction industry. This research aimed at assessing the readiness of the Nigerian building design firms to adopt BIM technologies. The research was exploratory in nature. A field survey was conducted with the use of structured questionnaire, self administered to a sample of building design consultancy firms (architectural, structural, M&E, quantity surveying, and multi-disciplinary design firms) within Abuja and Kaduna. The questionnaire sought the perception of the responding firms on the factors affecting BIM adoption in the Nigerian construction industry, and their level of readiness to adopt BIM technologies in their practices based on the four categories of readiness-management, people, process and technology. 42.26% response rate was achieved and used for analysis. ANOVA and DUNCAN post-hoc tests were used to establish the differences between the responses of the groups of firms, while means and standard deviations were obtained to establish the important factors affecting BIM adoption in Nigeria. The survey revealed that all the groups of Nigerian design firms are appreciably ready for the adoption of BIM technologies in their practice, with slight variations in their respective levels of readiness. 'Lack of awareness of BIM technology among professionals' and clients and 'lack of knowledgeable and experienced partners' were identified as the most important barriers of BIM adoption in Nigeria; while the most significant drivers are 'availability of well trained professionals' and 'cooperation and commitment of professional bodies to the adoption'. Education and training of building design professionals and cooperation of all stakeholders in the design and construction supply chain were recommended as part of measures to ensure successful adoption of BIM in the Nigerian construction industry.

• Korea Trade Review
• /
• v.45 no.2
• /
• pp.191-209
• /
• 2020

Project logistics is becoming increasingly important in overseas plant projects. Efficient logistics risk management is needed to reduce construction period and reduce costs. However, Korean construction firms bid unconditionally without sufficient experience and analysis on overseas plants contract, companies are gradually losing profitability on projects due to not considering profitability. Despite the significant effects on the profitability of Korean construction companies, and although these companies still continue to bid on overseas plant projects, policies to manage project logistics risks for safe transport and compliance with the contracted building schedule in the long term is still lacking. Hence, this study investigates the risk factors related to project logistics and to analyze the effect of project logistics risk on overseas plant business performance. We conducted a survey of project-related workers. The results of the analysis are as follows: First, among the logistics risk factors, overseas platform business people recognize operational risk and financial risk factors, which have a positive effect directly on overseas plant performance. Second, the ability to manage project logistics risks can have a significant impact on the success or failure of overseas plants. Finally, if logistics risk factors are managed on the basis of the research results confirmed through empirical analysis, it is possible to carry out more efficient and effective management of the project, which implies that this will have a positive effect on overseas plant business performance.

• International journal of advanced smart convergence
• /
• v.12 no.4
• /
• pp.208-216
• /
• 2023

The purpose of our study is to design datasets for Artificial Intelligence learning for cold sea fish farming. Salmon is considered one of the most popular fish species among men and women of all ages, but most supplies depend on imports. Recently, salmon farming, which is rapidly emerging as a specialized industry in Gangwon-do, has attracted attention. Therefore, in order to successfully develop salmon farming, the need to systematically build data related to salmon and salmon farming and use it to develop aquaculture techniques is raised. Meanwhile, the catch of pollack continues to decrease. Efforts should be made to improve the major factors affecting pollack survival based on data, as well as increasing the discharge volume for resource recovery. To this end, it is necessary to systematically collect and analyze data related to pollack catch and ecology to prepare a sustainable resource management strategy. Image data was obtained using CCTV and underwater cameras to establish an intelligent aquaculture strategy for salmon and pollock, which are considered representative fish species in Gangwon-do. Using these data, we built learning data suitable for AI analysis and prediction. Such data construction can be used to develop models for predicting the growth of salmon and pollack, and to develop algorithms for AI services that can predict water temperature, one of the key variables that determine the survival rate of pollack. This in turn will enable intelligent aquaculture and resource management taking into account the ecological characteristics of fish species. These studies look forward to achievements on an important level for sustainable fisheries and fisheries resource management.