• Pediatric Infection and Vaccine
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• v.15 no.2
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• pp.115-120
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• 2008

Purpose : This post-marketing surveillance (PMS) study was conducted in Korea to assess the safety and reactogenicity of hepatitis A vaccine (GlaxoSmithKlineBiologicals'$Havrix^{TM}$) administered to the Korean population. Methods : A total of 1,188 healthy subjects with 1,122 subjects <6 years of age were enrolled to receive one dose of the hepatitis A vaccine from April 2005 to January 2006. Diary cards were provided to the subjects or subjects' parents for reporting solicited and unsolicited symptoms during the 4-day and 31-day post-vaccination follow-up period. Results : The number of subjects who returned diary cards was 568, whereas, 620 subjects did not return diary cards. Among the subjects who returned diary cards, 9.9% and 14.3% reported local and general solicited/unsolicited symptoms. Among the subjects who did not return diary cards, 1.6% and 8.4% reported local and general solicited/unsolicited symptoms. At least one unsolicited symptom was reported by 13.2% of the subjects. Conclusion : Results indicate that the vaccine was well-tolerated and had an acceptable safety profile. The use of diary cards in such a survey provided a prompt and reliable option for recording symptoms.

• Korean Journal of Construction Engineering and Management
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• v.11 no.3
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• pp.43-54
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• 2010

As Urban Regeneration is being carried out, stakeholders are most likely to have disagreements on their interests. Besides, dispersion of numerous communication routes and obscure decision processes aggravate the situation. Eventually, fragmented decision-making processes and complex structure lead to inefficient outcome and delay of projects. This paper is a study on decision-making support not only helps the program manager have more efficient and optimum decision, but also provides alternatives for Urban Regeneration. This study is conducted as follows. Firstly, the project process and the decision-making structure among stakeholders in Urban Regeneration are analyzed, and then the current status of decision-making in Urban Regeneration project is classified. Secondly, with literature study on "Gateway Review", the decision-making gateway review process in Urban Regeneration is defined, and then the "Gateway Review Elements" are listed. Thirdly, to establish gateway review process, this paper presents a check points, namely gate which supports a program manager to monitor and to control the program management in Urban Regeneration. Each gate has several supporting tools such as diagram of critical decision points relation, scheme of stakeholder, checklist. Fourthly, the proposed concept is verified by experts who have been carefully selected to provide their respective reviews. Finally, decision-making support gateway review system is modified based on their critiques and suggestions.

• Journal of Korean Society of Transportation
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• v.28 no.1
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• pp.135-142
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• 2010

The convenient techniques for predicting the bus arrival time have used the data obtained from the buses belong to the same company only. Consequently, the conventional techniques have often failed to predict the bus arrival time at the downstream bus stops due to the lack of the data during congestion time period. The primary objective of this study is to overcome the weakness of the conventional techniques. The estimation model developed based on the data obtained from Bus Information System(BIS) and Bus management System(BMS). The proposed model predicts the bus arrival time at bus stops by using the data of all buses travelling same roadway section during the same time period. In the tests, the proposed model had a good accuracy of predicting the bus arrival time at the bus stops in terms of statistical measurements (e.g., root mean square error). Overall, the empirical results were very encouraging: the model maintains a prediction job during the morning and evening peak periods and delivers excellent results for the severely congested roadways that are of the most practical interest.

• Journal of the Korean association of regional geographers
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• v.9 no.3
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• pp.276-296
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• 2003

This study is to analyze the adoption of environmentally friendly fanning(EFF) by Actor-Network Theory(ANT). ANT declares that the world is full of hybrid entities containing both human and non-human elements and maintains that adoption of an innovation comes as a consequence of the action of everyone in the chain of actors who has anything to do with it. In this study, adoption of EFF will be analysed through the role of actors and networks. And this paper try to identify the intermediaries and obligatory passage point(OPP) in each networks. In study area, 5 actors, -nature, governmental institute, food processors, consumers and farmers-, have each roles in their networks, But only 18 farmers adopted EFF. This study revealed that three OPPs were not overcome in each network. The one is nature, such as water and soil pollution. Another is shortage of reliability between farmers and governmental institute. The other is shortage of information about agricultural commodity trade. And through this application of ANT to the EFF, we contend that ANT can be useful for studies of diffusion of EFF and sustainability of rural systems in situations where interactions of the social, technological and political are regarded as particularly important.

• The Journal of the Korea Contents Association
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• v.19 no.12
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• pp.173-183
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• 2019

Sejong, Korea's special multifunctional administrative city, was created as a national project to relocated government ministries, the aim being to pursue more balanced regional economic development and boost national competitiveness. During the second phase development will focus on mitigating the challenges raised due to the increasing population and urbanization development. All of infrastructure, apartments, houses, private buildings, commercial structures, public buildings, citizens are producing more and more complex data. To face these challenges, Sejong city governments and policy maker recognizes the opportunity to ensure more enriched lives for citizen with data-driven city management, and effectively exploring how to use existing data to improve policy services and a more sustainable economic policy to enhance sustainable city management. As a city government is a complex decision making system, the analysis of astounding increase in city dada is valuable to gain insight in the affecting traffic flow. To support the requirement specification and management of government policy making, the graphic representation of information and data should be provide a different approach in the intuitive way. With in context, this paper outlines the design of interactive, web-based dashboard which provides data visualization regarding better policy making and risk management.

• Journal of Convergence for Information Technology
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• v.10 no.11
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• pp.156-167
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• 2020

The purpose of this study is to analyze the influence of the mindset on stress and job performance. For the analysis, a questionnaire is conducted for cabin crew members in K airlines, and a total of 266 copies are used for the final analysis. To verify the hypotheses of the study, frequency analysis, exploratory factor analysis, reliability analysis, confirmatory factor analysis, measurement model analysis, validation of the measuremen model, and structural equation model analysis are used based on the questionnaire. First, it is confirmed that the mindset had a negative (-) effect on the cabin crew's role stress, reward stress and relationship stress. Second, it is found that cabin crew's reward stress have a negative (-) effect on job performance. On the other hand, relationship stress is found to have a positive influence on job performance and there is no significant result in effect with role stress. Third, the mindset showes a significant positive impact relationship on job performance. As a result, it is necessary to introduce a mindset intervention program so that it can be applied in practical work. These research results confirm the positive effects of mindsets and show that they contribute to organizational performance. In addition, it is necessary to prepare a program to change the mindset of airline cabin crew and to be applied in actual work.

• Culinary science and hospitality research
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• v.18 no.5
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• pp.16-32
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• 2012

The purposes of this study were to understand how franchisor's influence strategies influenced franchisee's boundary spanning behaviors and how franchisor's entrepreneurship influenced franchisee's boundary spanning behaviors. This study also analyzed whether franchisor's entrepreneurship played a moderating role in the causal relationship between franchisor's influence strategies and franchisee's boundary spanning behaviors. Based on a total of 698 self-administered questionnaires obtained from franchisees(food-service unit owners or managers) in Korea, frequency analysis, exploratory factor analysis, reliability analysis and hierarchical regression analysis were conducted. The research findings showed results that firstly, promise (${\beta}$=0.292), threat (${\beta}$=-0.256), recommendation (${\beta}$=0.200), information exchange (${\beta}$=0.359), request(${\beta}$=-0.097) and legalistic plea(${\beta}$=-0.137) had a significant effect on franchisee's boundary spanning behaviors and secondly, franchisor's entrepreneurship had a significant positive effect on franchsee's boundary spanning behavior. In addition, the effects of franchisor's promise(${\beta}$=0.168) and threat(${\beta}$=-0.075) on franchisee's boundary spanning behaviors were found to be partially moderated by franchisor's entrepreneurship. Franchisees wanted franchisors to execute a high level of entrepreneurship and deliver a promise in an influence strategy. Limitations and future research directions were also discussed.

• Journal of Information Technology and Architecture
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• v.10 no.3
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• pp.335-346
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• 2013

With the overwhelming development of information technologies, the need for software development that can deal with diversified and complex business processes has increased dramatically. As a result, companies prefer softwares that can handle far more complex processing ability and also it should be stable as well as easier to maintain. These ambivalent requirements keep the software development organizations from assessing the quantitative abilities, so that under the support of the U.S. Department of Defense the Capability Maturity Model (CMM) and Capability Maturity Model Integration (CMMI) have been developed. The CMMI upper levels for the software development companies will be evaluated to be excellent and authenticated, which drives the companies to get and maintain high levels of maturity. In this paper, a case study for a domestic software company has been exploited how to achieve CMMI level 4 and what kind of factors have been played an effective role. These issues at the domestic and international software and maintenance program, can influence the trustworthiness and marketing effects for the global market. In this paper, the company's actual case study will give clues to find out the important factors for the development and maintenance of software companies maturity levels.

• Journal of Korea Water Resources Association
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• v.45 no.7
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• pp.729-741
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• 2012

Among the methods of precipitation data acquisition, a rain gauge station has a distinctive advantage of direct measurement of rainfall itself, but multiple stations should be installed in order to obtain areal precipitation data required for hydrological analysis. On the other hand, a rainfall radar may provide areal distribution of rainfall in real time though it is an indirect measurement of radar echoes on rain drops. Rainfall radars have been shown useful especially for forecasting short-term localized torrential storms that may cause catastrophic flash floods. CAPPI (Constant Altitude Plan Position Indicator), which is one of the several types of radar rainfall image data, has been provided on the Internet in real time by Korea Meteorological Administration (KMA). It is one of the most widely available rainfall data in Korea with fairly high level of confidence as it is produced with bias adjustment and quality control procedures by KMA. The objective of this study is to develop an improved way to extract quantitative rainfall data applicable to even very small watersheds from CAPPI using CIVCOM, which is a new image processing method based on a vector-based scheme proposed in this study rather than raster-based schemes proposed by other researchers. This study shows usefulness of CIVCOM through comparison of rainfall data produced by image processing methods including traditional raster-based schemes and a newly proposed vector-based one.

• Journal of the Korea Convergence Society
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• v.11 no.9
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• pp.1-6
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• 2020

In this study, we propose an association inference model based on data bias optimization for road hazard detection. This is a mining model based on association analysis to collect user's personal characteristics and surrounding environment data and provide traffic accident prevention services. This creates transaction data composed of various context variables. Based on the generated information, a meaningful correlation of variables in each transaction is derived through correlation pattern analysis. Considering the bias of classified categorical data, pruning is performed with optimized support and reliability values. Based on the extracted high-level association rules, a risk detection model for personal characteristics and driving road conditions is provided to users. This enables traffic services that overcome the data bias problem and prevent potential road accidents by considering the association between data. In the performance evaluation, the proposed method is excellently evaluated as 0.778 in accuracy and 0.743 in the Kappa coefficient.