• Proceedings of the KOR-KST Conference
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• 1999.10a
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• pp.47-52
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• 1999

The methods currently in use to evaluate traffic impacts on the transportation network involve some fundamental shortcomings. First, the methodss do not properly take into account regional and local traffic impacts on the transportation network simultaneously. Second, temporal distribution of traffic, a major contributor to transportation problems, is not accurately accounted for. Third, traffic impact studies require costly and labor-intensive efforts to collect necessary data and to establish to collect necessary data and to establish traffic impact models. In this research, a new method called AMIS is developed for congestion management, access control, and impact simulation to overcome the shortcomings involved in the current methods. The new method is designed for a variety of scenarios such as access management strategies, land use policies, traffic impacts, and other congestion management strategies. This method can effectively be used, with little modification, anywhere in the United States. It is an improvement over the current traffic impact simulation methods that produces more reliable and accurate traffic impact estimates. The case studies conducted in this research have offered evidence that the new method, AMIS, is a credible congestion management tool. Most importantly, a case study presented in this paper illustrates how the new method can be used not only to estimate regional and local impacts of alternate supply management policies in the course of a day, but virtually on an hour-by-hour basis.

• The Journal of Asian Finance, Economics and Business
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• v.8 no.5
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• pp.365-374
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• 2021

Environmental concern has become the focus of various studies, academic research, company policies, and government policies. A business sector, which has seen a high level of urgency in environmental empowerment are small- and medium-sized enterprises (SMEs). These are an economic sector, which is imbedded in society and has become one of the largest economic sectors in Indonesia. Therefore, this study analyzes the relationship between green human resource management (GHRM), workplace green behavior (WGB) and green innovation (GI), and increasing firm performance (FP). This study is using quantitative research methods. The data is obtained through distributing questionnaires to 180 culinary SMEs employees from cafes and modern food restaurant in the Special Region of Yogyakarta (DIY), Indonesia. The data is then analyzed using Structural Equation Modeling (SEM) with Smart-PLS. The results of this study show that GHRM has significant positive effect on workplace green behavior and firm performance, while workplace green behavior also has significant positive effect on green innovation and firm performance. In addition, green innovation has significant positive effect on firm performance. This study contributes to provide and extends the literature related to building green SMEs, which is empirically demonstrated to be able to improve company performance.

• Journal of Aerospace System Engineering
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• v.8 no.2
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• pp.49-54
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• 2014

The main purpose of Korea Space Launch Vehicle II(KSLV-II) Program is to develop a domestic launch vehicle that can deliver a 1.5ton class application satellite into a Low Earth Orbit(600~800km). The data management is an essential factor in systems engineering for success of large-scale complex systems development, and it systematically manages the information and technical data for the total life-cycle of a system. In this paper, data management policies and processes on KSLV-II program are presented, and product life-cycle management system for KSLV-II program is also presented.

• The KIPS Transactions:PartD
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• v.11D no.7 s.96
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• pp.1349-1356
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• 2004

The interest of version management is increasing in electronic commerce requiring data mining and documents processing system related to digital governmentapplications. In this paper, we define a change set that is to manage historicalinformation and to maintain XML documents during a long period of time and propose several storage policies of XML documents using a change set. A change set includes a change oper-ation set and temporal dimensions and a change operation set is composed with schema change operations and data change operations. We pro-pose three storage policies using a change set. Three storage policies are (1) storing all the change sets, (2) storing the change sets and the versions periodically. (3) storing the aggregation of change sets and the versions at a point of proper time. Also, we compare the performance between the existing storage policy and the proposed storage policies. Though the performance evaluation, we show that the method to store the aggregation of change sets and the versions at a point of proper time outperforms others.

• The Transactions of The Korean Institute of Electrical Engineers
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• v.61 no.8
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• pp.1186-1192
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• 2012

In Jeju Smart Grid field test, Zigbee technology is being used as one of customer side solutions for AMI. Although Zigbee networks that provides effective connectivity and control among devices are advantages in ease of implementation and use, the data can be exposed to cyber attacks such as eavesdrop, unauthorized data dissemination and forgery. Currently authentication and confidentiality services are provided with the network and link keys generated based on public key pairs that are pre-installed in offline. However, the network is vulnerable once a hacker intrudes into a local network because operation and management policies for the generated keys are not well-established yet. In this paper, the vulnerability of the Zigbee security system in the customer side environment of Jeju Smart Grid field test is analyzed. Then, two-way authentication with the unique identifiers of devices and user-specific group management policies are proposed to resolve the vulnerability.

• Journal of Information Technology Applications and Management
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• v.29 no.3
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• pp.75-93
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• 2022

The purpose of this study is to compare and analyze each government's ICT SME support policies to cope with changes in the ICT ecosystem paradigm. In particular, the core policies and policy trends of the Moon's government are presented through keyword network analysis and cognitive map analysis. As a result, core technologies such as ICT(Information Communication Technology), AI(Artificial Intelligence), Big Data, and 5G, which have high values of betweenness centrality and closeness centrality, are major keywords with high propagation power. The cognitive map analysis shows that the opportunity factors for the 4th industrial revolution are being activated through the ICT infrastructure circulation process, the domestic market circulation process, and the global market circulation process. This study is meaningful in terms of cognitive map analysis and utilization based on scientific analysis.

• Journal of the Korea Society of Computer and Information
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• v.22 no.9
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• pp.99-105
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• 2017

In this paper, we propose to design and implement the database management system for analyzing vehicle accidents through utilizing integration of the public big data. And the paper aims to provide valuable information for recognizing seriousness of the vehicle accidents and various circumstances at the accident time, and to utilize the produced information for the insurance company policies as well as government policies. For analysis of the vehicle accidents the system utilizes the integrated big data of National Indicator System, the Meteorological Office, National Statistical Office, Korea Insurance Development Institute, Road Traffic Authority, Ministry of Land, Infrastructure and Transport as well as the National Police Agency, which differentiates this system from the previous systems. The system consists of data at the accident time including weather conditions, vehicle models, age, sex, insurance amount etc., by which the database system users are able to obtain the integral information about vehicle accidents. The result shows that the vehicle accidents occur more frequently in the clear weather conditions, in the vehicle to vehicle conditions and in crosswalk & crossway. Also, it shows that the accidents in the cloudy weather leads more seriously to injury and death than in the clear weather. As well, the vehicle accident information produced by the system can be utilized to effectively prevent drivers from dangerous accidents.

• Journal of Korean Society for Quality Management
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• v.45 no.3
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• pp.335-347
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• 2017

Purpose: Defense government agencies in the world continuously try to improve operational efficiency in government quality assurance activities. The purpose of this paper is to propose some suggestions to enhance efficiency of government quality assurance (GQA) activities based on the analysis of the current quality assurance methods of advanced foreign agencies such as DCMA and NATO. Methods: In order to propose new directions, reviews and analyses are executed. (1) Former research results in Korea for enhancing GQA are reviewed, and their limitations are addressed. (2) Updated policies and procedures of the US DCMA and NATO are reviewed and their advantages are presented. (3) Current GQA policies and procedures are contrasted with those of US DCMA and NATO. Results: Suggestions for efficient Korean GQA activities are given in several aspects: GQA paradigm shift, clarification of GQA methods, facility-wide GQA, risk management for suppliers, counterfeit mitigation policy, data collection and control. Conclusion: Reviews on the government quality assurance policies and procedures of DTaQ, DCMA, and NATO are executed and compared with each other. The results of this research are expected to be useful guidelines to improve GQA policies and procedures in Korea, making it possible to realize more efficient GQA activities in Korea.

• Journal of Families and Better Life
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• v.35 no.2
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• pp.77-92
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• 2017

This study is to examine the influence of family-friendly policies on married female workers'desire for an additional child and the mediating effects of family-friendly policies and birth intention on the relationship between work- and family-life. A questionnaire survey was conducted with married female women who were under the age of 40 years and with young children, using convenience sampling. Initially, a total of 400 survey questionnaires were distributed and 326 of them were gathered and analyzed as final data. The study conducted descriptive statistics, structural equation modeling, Sobel's test, latent means analysis, and multi-group analysis to test the hypotheses. The findings are as follows. First, family-friendly policies positively impacted married women's willingness to have additional children. Second, family-friendly policies had significant positive implications on married female workers' work-life. It shows that family-friendly policies influenced married women's job satisfaction and organizational commitment, enhancing work-life satisfaction. Third, family-friendly policies were positively related with married women's family-life. It revealed that the policies had an impact on their marital satisfaction and parenting stress, improving family-life satisfaction. Fourth, married women's work-life factors, such as job satisfaction and organizational commitment, were not significantly associated with their intention of childbirth. Fifth, marital satisfaction and parenting stress were positive and significant factors affecting women's willingness to have additional children. Sixth, married women's family-life mediated the association between family policies and their childbirth intention, but their work-life did not do. Last, work- and family-life mediated the significant effect of family-friendly policies on the willingness in both groups: family-friendly policies${\rightarrow}$work-life, family-friendly policies${\rightarrow}$childbirth willingness, and family-friendly policies${\rightarrow}$family-life.

• The Journal of Asian Finance, Economics and Business
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• v.8 no.5
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• pp.777-784
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• 2021

This study explores the impact of COVID-19 pandemic and the lockdown policies that are used to tackle the pandemic on stock market returns in Indonesia. This study uses fixed-effects panel-data regression method to evaluate the impact of the growth in COVID-19 total confirmed cases and death as well as the lockdown policies on daily stock returns of 272 firms that are listed on the Indonesia Stock Exchange's main board and operate in the real sector from 2 March 2020 to 27 November 2020. The study confirms the significantly adverse impact of growth in the total of confirmed cases and death due to COVID-19 on Indonesia's daily stock returns. Moreover, the lockdown policies regardless how strict they are, have a positive and significant impact on the Indonesia's daily stock returns. This study further considers the different impact of COVID-19 pandemic on each of eight observed sectors; where the sector of property as well as trade, service and investment have a significantly negative performance; while the sector of basic industry, consumer goods and mining have a significantly better performance. This study suggests that COVID-19 pandemic and the lockdown policies have a mixed impact on the Indonesia's stock market returns.