• Journal of the Korea Society of Computer and Information
• /
• v.14 no.1
• /
• pp.127-134
• /
• 2009

Recently, much research have been done on ubiquitous computing models in advanced countries as well as in Korea. Ubiquitous computing is defined as a computing environment that isn't bounded by time and space. Different kinds of computers are embedded in artifacts, devices, and environment, thus people can be connected everywhere and every time. To recognize user's emotion, facial expression, temperature, humidity, weather, and lightning factors are used for building ontology. Ontology Web Language (OWL) is adopted to implement ontology and Jena is used as an emotional inference engine. The context-awareness service infrastructure suggested in this research can be divided into several modules by their functions.

• Convergence Security Journal
• /
• v.22 no.5
• /
• pp.37-47
• /
• 2022

The need for smart city is emerging all over the world to solve these urban problems such as urban resource and infrastructure shortage, traffic congestion, energy problems and to preemptively respond to the fourth industrial revolution. The analysis that the security of smart city technology is dangerous is dominant all over the world. In this paper, we analyze the technology, security threats and responses of smart city, which are the main security issues of smart city, limited to smart grid, smart building, and smart traffic. In the future, the analysis of various technologies of smart city construction and the research on cyber security are actively progressing, and this paper is expected to be the beginning of the solution plan.

• International conference on construction engineering and project management
• /
• 2015.10a
• /
• pp.435-439
• /
• 2015

It is important for Singaporean companies to manage the multifaceted risks when forming international construction joint ventures (ICJVs) with developing countries. The objectives of this study are to assess the risks associated with Singaporean ICJVs with developing countries, and investigate the risk allocation preferences in these ICJVs. To fulfill these objectives, a literature review was carried out and a questionnaire survey was performed with 38 professionals. The survey results reported "political instability" as the most critical risk, and market level risks were less critical than country and project level risks. Additionally, the results showed agreement on the risk ranking between building and infrastructure ICJVs, despite significant differences in the criticalities of five risks. Furthermore, five risks were preferably allocated to host and foreign partners, respectively, while 13 risks could be shared among partners. As few studies have explored the risk allocation preferences in ICJVs, this study expands the literature. Also, the identification of the risks allows other companies to customize their own lists of critical risks, while the preferred risk allocation provides valuable information for companies from various countries that intend to form ICJVs with developing countries. Thus, this study contributes to the global body of knowledge relating to ICJVs.

• Geomechanics and Engineering
• /
• v.35 no.5
• /
• pp.499-509
• /
• 2023

The objective of this study is to perform outlier analysis to obtain the distribution of groundwater levels through the best model. The groundwater levels are measured in 10, 25 and 30 piezometers in Seoul, Daejeon and Suncheon in South Korea. Fifty-eight empirical distribution functions were applied to determine a suitable fit for the measured groundwater levels. The best fitted models based on the measured values are determined as the Generalized Pareto distribution, the Johnson SB distribution and the Normal distribution for Seoul, Daejeon and Suncheon, respectively; the reliability is estimated through the Anderson-Darling method. In this study, to choose the appropriate confidence interval, the relationship between the amount of outlier data and the confidence level is demonstrated, and then the 95% is selected at a reasonable confidence level. The best model shows a smaller error ratio than the GEV while the Mahalanobis distance and outlier labelling methods results are compared and validated. The outlier labelling and Mahalanobis distance based on median shown higher validated error ratios compared to their mean equivalent suggesting, the methods sensitivity to data structure.

• Asian Journal of Business Environment
• /
• v.14 no.1
• /
• pp.1-13
• /
• 2024

Purpose: This study explores the level of relevance of liability of foreignness (LOF) in foreign firms' decision to relocate or to expand their regional headquarters (RHQ) in Singapore. Research design, data and methodology: The research question is: what are the mitigating factors of LOF for RHQs operating in Singapore? This explorative study uses various resources from the government agencies: Singapore Economic Development Board such as annual reports between 2012 and 2022, investment programs and published interviews with RHQ's CEOs, Singapore Department of Statistics such as economic, socio-economic and investment data. Results: My study shows that years of nation-building toward a world-class infrastructure, identifying key-industries and conscientiously enhancing workforce skills and competency, developing and reviewing investment programs to attract and retain RHQs were the mitigating factors of LOF. Conclusion: This implies a low level of relevance of LOF in foreign firms' strategic choice to relocate or to expand their regional headquarters to Singapore. As such, the steady growth of multinational enterprises' (MNEs) RHQs in Singapore presents a challenge to the theoretical postulation of LOF positing that foreign firms are discriminated in host country-environment. As a result, incurring additional costs operating in an unfamiliar environment manifested by varying responses from the local actors. Singapore is a case in point.

• Journal of KIBIM
• /
• v.13 no.4
• /
• pp.54-63
• /
• 2023

In recent years, the mandatory use of BIM has been actively promoted due to the digital transformation of the construction industry. However, the CDE (Common Data Environment) system, which is an essential element for operating BIM, has not been established in accordance with the domestic situation. To solve this problem, this study analyzed the results of previous studies, including the ISO 19650 standard and domestic CDE system requirements, and developed BIM-based collaboration functions that are suitable for the domestic construction industry through functional analysis of domestic and foreign commercial CDE solutions. And we developed a BIM collaboration framework to provide BIM-based collaboration functions as a service by using cloud technologies such as IaaS, PaaS, and SaaS to provide infrastructure resources flexibly and flexibly. The BIM collaboration framework developed in this study meets most of the CDE requirements of ISO1965, so it can secure competitiveness when bidding for overseas BIM projects. Also, because the BIM collaboration functions can be selectively applied to build a BIM-based collaboration platform, it is expected that the utilization of the BIM collaboration framework will be high, as it can minimize not only the time to build the platform but also the operating costs, and the usability is higher than that of existing commercial BIM CDE solutions.

• Structural Engineering and Mechanics
• /
• v.90 no.6
• /
• pp.591-600
• /
• 2024

This study investigated the acceleration response and shape change characteristics of a gravity quay wall according to the magnitude of the applied acceleration. The quay wall was defined as a port facility damaged by the Kobe earthquake. Four experimental scenarios were established based on the inclination condition grades, considered to be a significant defect factor in the quay wall. Then, the shaking table test was conducted using scaled-down quay wall models constructed per each scenario. The ground acceleration was gradually increased from the peak ground acceleration (PGA) of 0.1 g to 0.7 g. After each ground acceleration test, acceleration installed on the wall and backfill ground and inclination on the top of the wall were measured to assess the amplification of peak response acceleration and maximum response amplitude and the change in the inclination of the quay wall. This study also analyzed the separation of the quay wall from the backfill and the crack pattern of the backfill ground according to PGA values and inclination condition grades. The result of this study shows that response acceleration could provide a reasonable prediction for the changes in the inclination of the quay wall and the crack generation and propagation on the backfill from a current inclination condition grade.

• Journal of KIBIM
• /
• v.14 no.2
• /
• pp.1-12
• /
• 2024

The paper proposes a methodology that combines the Random Sample Consensus (RANSAC) algorithm and the Point Cloud Encoder-Decoder Network (PCEDNet) algorithm to automatically extract the length of infrastructure elements from point cloud data acquired through 3D LiDAR scans of retaining walls. This methodology is expected to significantly improve time and cost efficiency compared to traditional manual measurement techniques, which are crucial for the data-driven analysis required in the precision-demanding construction sector. Additionally, the extracted positional and dimensional data can contribute to enhanced accuracy and reliability in Scan-to-BIM processes. The results of this study are anticipated to provide important insights that could accelerate the digital transformation of the construction industry. This paper provides empirical data on how the integration of digital technologies can enhance efficiency and accuracy in the construction industry, and offers directions for future research and application.

• Journal of the Korean Society of Industry Convergence
• /
• v.27 no.1
• /
• pp.77-86
• /
• 2024

Urban Air Mobility (UAM) is considered the future of transportation, offering solutions to urban challenges and reducing environmental issues through the use of electric power and leveraging the sky as a new transportation corridor. UAM has diverse applications, including passenger and goods transportation, emergency rescue operations, patient transfers, and urban tourism. Furthermore, it is poised to revolutionize the transportation landscape, impacting existing infrastructures such as roads and parking lots, along with autonomous vehicles. The UAM industry is anticipated to exert a significant impact on various sectors, including airframe manufacturing, the development of new materials (e.g., fuel cells and batteries), and even the defense industry, resulting in substantial economic benefits. Consequently, conducting proactive research and setting industry standards for UAM takeoff and landing infrastructure is crucial for securing market leadership. In this regard, the case of Pontoise-Cormeiles, France, stands out as it achieved the world's inaugural successful demonstration of a vertiport before the 2024 Olympics. This achievement has significant implications for our preparations for the commercialization of UAMs. Thus, a detailed review of the French vertiport construction case in this study will serve as a foundation for guiding the planning and operation of UAMs in South Korea, particularly in anticipation of upcoming demonstration tests.

• International conference on construction engineering and project management
• /
• 2024.07a
• /
• pp.689-697
• /
• 2024

According to the South Korean Ministry of Land, Infrastructure, and Transport, instances of defect dispute resolutions, primarily between construction contractors and apartment occupants, have been occurring at an annual average of over 4,000 cases since 2014 to the present day. To address the persistent issue of disputes between contractors and occupants regarding construction defects, it is crucial to use customer sentiment analysis to improve customer rights and guide construction companies in their efforts. This study presents a methodology for effectively managing customer complaints and enhancing feedback analysis in the context of defect repair services. The study begins with collecting and preprocessing customer feedback data. Semantic network analysis is used to understand the causes of discomfort in customer feedback, revealing insights into the emotional sentiments expressed by customers and identifying causal relationships between emotions and themes. This research combines text mining, and semantic network analysis to analyze customer feedback for decision-making. By doing so, defect repair service providers can improve service quality, address customer concerns promptly, and understand the factors behind emotional responses in customer feedback. Through data-driven decision-making, these providers can enhance customer rights and identify areas for construction companies to improve service quality.