• Journal of the Korea Academia-Industrial cooperation Society
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• v.20 no.1
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• pp.268-277
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• 2019

Flight test systems should monitor various conditions in real time during flight tests and take safety measures in an emergency. The importance of ensuring test safety increases in more complicated and wider test environments. Also, due to the transition of wartime operational authority, many guided missile systems must be developed simultaneously. Early deployment and budget reduction by shortening the development and T&E periods are also necessary. Consequently, the risk of flight tests under the circumstance of inefficient test resources is increasing. To address this deficiency, a flight test system model using SysML was proposed in this study. The method of designing and verifying the test system is based on the agile shift left testing methodology of advanced T&E labs and utilizing a system reference model in the aerospace field. Through modeling and simulation analysis, early identification and correction of faults resulting from inconsistent test requirements can mitigate the risk of delays during the T&E phase of flight tests. Also, because the flight test system model was constructed using SysML, it can be applied to test various guided missile systems.

• Journal of Digital Convergence
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• v.16 no.11
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• pp.221-230
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• 2018

Most of researchers and business futurists agree that traditional organizational designs are inadequate for coping with today's turbulent and increasingly networked world. Executives in small firms find that their organizations must tap into an extended network of partners to achieve the scale and power needed to succeed in industries dominated by large, global firms. As they attempt to build lean yet agile businesses, these executives are finding that they no longer rely on gut instinct alone. Neither can they simply copy organizational model that worked in the past. They must understand how organizational design choices influence operational efficiency and flexibility and, even more important, how to best align the organization with the environment and the strategy chosen to quickly and effectively sense and respond to opportunities and threats This research examines the capabilities required to build businesses that can survive and prosper in today's fast-faced and uncertain environment. The insights presented in this research have emerged from over 30 years of work with hundreds of executives and entrepreneurs as they struggled to build businesses that could cope with the demands of a rapidly changing, networked global economy. The insights from this research suggest that IT is an important enabler for developing the best capabilities required for success.

• Journal of the Korea Academia-Industrial cooperation Society
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• v.20 no.9
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• pp.262-269
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• 2019

This study was conducted to pave the way for the development and operation of education and training programs to nurture skilled North Korean construction workers. Such programs would help to meet the expanded demand for setting up infrastructure, which is the backbone of the two Koreas' economic cooperation and mutual development. To achieve this initiative, the targets and scopes of education and training were determined by classifying business types for education and training purposes by construction sector. Furthermore, each education and training course and their allocated time frames were analyzed. Issues related to inter-Korean economic cooperation in the border area were also analyzed to determine regional characteristics. Education and training programs were thus classified into three types of infrastructure units: society, industry, and life infrastructure units. Social infrastructure units are the common demand of the whole border area, including construction of roads, railways, and harbors, as well as inspection and maintenance. Industrial infrastructure units are programs for industrial facilities centering on the designated special economic zone in the western part of the border area. Life infrastructure units are programs for infrastructure facilities such as large, complex facilities and residential facilities for the eastern tourist belt side.

• Journal of Korea Foundry Society
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• v.41 no.1
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• pp.26-38
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• 2021

The status of Ppuri industry, including foundry industry was analyzed through statistical surveys over the past 10 years from 2009 to 2018, and summarized for each six Ppuri industries' points of view. Various statistics of Ppuri industry defined by the KSIC (Korean Standard Industry Classification) was obtained, and the status of Ppuri industry was identified through a sample survey of 5,000 companies from more than 30,000 target business companies of Ppuri industry. Throughout the analyzing process, we presented a variety of indicators, such as the number of the Ppuri companies and its ratio, regional distribution through Korean provinces, number of workers, characteristics by age group, sales, profit rates, etc. By devising a comparative method to measure the relative strength of Ppuri industry in Korea, Germany, and Japan, we have presented the competitiveness index change over the 10 years of time. The competitiveness index can be effectively and meaningfully used during various activities of the development of Ppuri industry in the forth coming future. With the current obtained data, we figured out the status of each 6 Ppuri industries, regional distribution, status of workers, sales and profit rates. We also suggested various proposals for strategy and policy making for each sector with urging voluntary response from Ppuri industry.

• Journal of Korean Library and Information Science Society
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• v.52 no.1
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• pp.155-178
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• 2021

In the era of the 4th industrial revolution, public libraries need a strategy for promoting intelligent library services in order to actively respond to changes in the external environment such as artificial intelligence. Therefore, in this study, based on the concept of artificial intelligence and analysis of domestic and foreign artificial intelligence related trends, policies, and cases, we proposed the future direction of introduction and development of artificial intelligence services in the library. Currently, the library operates a reference information service that automatically provides answers through the introduction of artificial intelligence technologies such as deep learning and natural language processing, and develops a big data-based AI book recommendation and automatic book inspection system to increase business utilization and provide customized services for users. Has been provided. In the field of companies and industries, regardless of domestic and overseas, we are developing and servicing technologies based on autonomous driving using artificial intelligence, personal customization, etc., and providing optimal results by self-learning information using deep learning. It is developed in the form of an equation. Accordingly, in the future, libraries will utilize artificial intelligence to recommend personalized books based on the user's usage records, recommend reading and culture programs, and introduce real-time delivery services through transport methods such as autonomous drones and cars in the case of book delivery service. Service development should be promoted.

• Economic and Environmental Geology
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• v.54 no.6
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• pp.659-670
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• 2021

In this study, we analyzed changes in policies after the Korean New Deal Policy in 2020, metaverse and 6th generation communication technology. In the research and development of geoscience and mineral resources, we emphasized on the connection between smart cities and digital twins by focusing on the linkage of the real world and geo-information. Further, we examined trends in developing digital twins after the Korean New Deal Policy in 2020 that focused on three-dimensional visualization technology, the first stage in implementing digital twins, and real-time monitoring technology of underground information, the second implementing stage. As results of this study, we emphasized on the efforts to provide accurate underground information based on geology, groundwater and geo-environment and to analyze and predict near-real-time levels of available underground information to the industry, local governments and the central governments. Research and development that integrate the fields of geology, environment, and information is required to lead national digital twin policies and smart city policies owing to the acceleration of the digital economy in Korea and globally during the post-Corona era.

• Korean Journal of Construction Engineering and Management
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• v.22 no.3
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• pp.52-60
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• 2021

Due to the significant size of overseas construction projects, the cost overrun has enormous impacts on the financial status of construction companies. The managers' appropriate perception and identification of key risk factors in the construction phase notably affect the performance of projects. However, the actual impacts of risk factors and local manager' s perception of them could be deviated. For this reason, we aim to compare the performance of actual cases and general opinions of responsible practitioners in terms of risk factors relevant to cost overruns in order to present a practical strategy for risk management. Firstly, factors classified from literature review were used to simulate 290 cost overruns data sets from 20 cases by introducing Monte-Carlo Simulation and were ranked by standardized coefficients through multiple regression analysis. Secondly, a survey was conducted against 42 local managers to rank their perception of impact on cost overrun with identical factors by using Stepwise Weight Assessment Ratio Analysis (SWARA). Comparison results show that conflicts such as 'conflict with subcontractors' and 'conflict with the local community' have caused excessive cost overrun. However, managers' perception of these as less significant than the actual influences and consider other risks such as 'material price fluctuation' and 'construction quality errors', as relatively serious. Therefore, education for local managers on conflict risks needs to be presented.

• Journal of the Society of Disaster Information
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• v.17 no.2
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• pp.245-253
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• 2021

Purpose: This study develops a risk prediction model that predicts the risk of a fire site by using initial information such as building information and reporter acquisition information, and supports effective mobilization of fire fighting resources and the establishment of damage minimization strategies for appropriate responses in the early stages of a disaster. Method: In order to identify the variables related to the fire damage scale on the fire statistics data, a correlation analysis between variables was performed using a machine learning algorithm to examine predictability, and a learning data set was constructed through preprocessing such as data standardization and discretization. Using this, we tested a plurality of machine learning algorithms, which are evaluated as having high prediction accuracy, and developed a risk prediction model applying the algorithm with the highest accuracy. Result: As a result of the machine learning algorithm performance test, the accuracy of the random forest algorithm was the highest, and it was confirmed that the accuracy of the intermediate value was relatively high for the risk class. Conclusion: The accuracy of the prediction model was limited due to the bias of the damage scale data in the fire statistics, and data refinement by matching data and supplementing the missing values was necessary to improve the predictive model performance.

• The Journal of The Korea Institute of Intelligent Transport Systems
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• v.22 no.1
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• pp.143-160
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• 2023

It is important to secure the golden time of emergency vehicles for quick responses in disaster situations, such as fire, rescue, and first aid. This study proposes plans Emergency Vehicle Preemption (EVP) based on the analysis of emergency vehicle operation to secure the golden time of emergency vehicles and increase driving safety. The emergency vehicle dispatch statistics, emergency vehicle traffic accident statistics, and survey were used for the analysis. As a result of the analysis, the frequency of dispatch of emergency vehicles and traffic accidents are increasing gradually, but the rate of securing the golden time of emergency vehicles is approximately half, indicating that improvement measures are urgent. In the questionnaire survey, most citizens consent to the necessity of introducing EVP. In addition, the criteria for the range of emergency vehicles that could provide EVP and the allowable time for waiting were derived. These results could be used to prepare EVP operation strategies, and it is expected to contribute to improving emergency vehicle operation safety and increasing the golden time securing rate through a rapid expansion of EVP.

• Journal of Service Research and Studies
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• v.13 no.1
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• pp.159-175
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• 2023

Mass production has long been the most important production paradigm in establishing a company's strategy as a method of producing various products. However, mass production cannot now be the most important paradigm as companies' competitive environment and consumer needs diversify. In particular, consumers' needs are becoming more diverse and rapidly changing, making it difficult for companies to respond to consumers' needs. Mass customization is the most notable paradigm reflecting this trend, and mass customization aims to produce a variety of products tailored to the needs of customers at a low cost. In this study, the theory and concept of a product architecture system were used to specify a method of realizing mass-customized services, and a case study was conducted focusing on the internal furniture model of a camping car. In particular, unlike previously when companies developed product platforms and modules focusing on productivity, a method of developing and configuring product platforms and modules was suggested by reflecting consumer requirements first, and its effectiveness was considered. As a result of the study, it was confirmed that it was effective in replacement, recyclability, line-up, and chargeability by designing through internal factors of the product architecture system and verifying the effectiveness of the results with external factors. It is expected that further empirical research will be led through a design process using a product architecture system in the future.