• The Journal of Korea Institute of Information, Electronics, and Communication Technology
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• v.10 no.4
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• pp.325-332
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• 2017

In this paper, a survey of test sequence generation methods for testing the conformance of a protocol implementation to its specification is presented. The best known methods proposed in the literature are called transition tour, distinguishing sequence, characterizing sequence, and unique input/output sequence. Also, several variants of the above methods are introduced. Applications of these methods to the finite state machine model are discussed. Then, comparative analysis of the methods is made in terms of test sequence length. Finally, conclusions are given as follows. The T-method produces the shortest test sequence, but it has the worst fault coverage. The W-method tends to produce excessively long test sequences even though its fault coverage is complete. The problem with the DS-method is that a distinguishing sequence may not exist. The UIO-method is more widely applicable, but it does not provide the same fault coverage as the DS-method.

• The Journal of the Korea Contents Association
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• v.17 no.2
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• pp.137-148
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• 2017

The purpose of this study is to develop a children's ego-resilience measurement scale and to examine the reliability and validity of the developed scale. Subjects consisted of 289 children of age 3 to 5 attending kindergarten and daycare centers located in Gwangju city and Chonnam province. Factor analysis, correlation analysis and reliability analysis were conducted using SPSS 18.0 and Amos 18.0 programs. The children's ego resilience scale consists of 26 items of 5 factors(attention concentration, emotion control, self efficacy, empathy, peer relationship) after the exploratory factor analysis. The confirmatory factor analysis revealed that RMSEA is .059, NNFI is .901 and CFI is .913. Pearson's product moment correlation coefficient were acceptable with this study's scale and KPRC. Chronbach ${\alpha}$ were also acceptable. Thus, the developed children's ego resilience measurement scale is reliable and valid.

• Journal of Digital Contents Society
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• v.19 no.1
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• pp.141-147
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• 2018

This study analyzed the early retired employees who stayed in company no longer than 3 years based on a certain company's personality evaluation result data. The predicted model was analyzed by dividing into two categories; the manufacture group and the R&D group. Independent variables were selected according to the stepwise method. A logistic regression model was selected as a prediction model among various supervised learning methods, and trained through cross-validation to prevent over-fitting or under-fitting. The accuracy of the two groups were confirmed by the confusion matrix. The most influential factor for early retirement in the manufacture group was revealed as "immersion," and for the R&D group appeared as "antisocial." In the past, people concentrated on collecting data by questionnaire and identifying factors that are highly related to the retirement, but this study suggests a sustainable early retirement prediction model in the future by analyzing the tangible outcome of the recruitment process.

• The Journal of the Korea Contents Association
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• v.19 no.2
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• pp.539-547
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• 2019

This study conducted an importance-satisfaction analysis on choice attributes of cosmetics targeting consumers of road shop cosmetics and suggested improvements needed to increase consumer satisfaction. A summary of the study's results is as follows. First, as to the importance of choice attribute items of road shop cosmetics, skin compatibility appeared to be the highest. For satisfaction as well, skin compatibility appeared to be the highest. Second, when the differences between importance and satisfaction of choice attributes of road shop cosmetics were analyzed, among a total of 15 choice factors, differences appeared in 6 factors. Among them, 5 attributes such as the product function and skin compatibility, excluding the salesperson's service, appeared to have higher importance than satisfaction. Third, based on the IPA results, the study analyzed which factors should be maintained or improved and accordingly suggested efficient resource allocation strategies and marketing strategies that can be practically applied.

• Korean Journal of Child Education & Care
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• v.19 no.1
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• pp.117-127
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• 2019

Objective: The purpose of this study was a teacher efficacy scale for pre-service teacher and to examine the reliability and validity of the scale. Methods: Participants for this study were 428 pre-service teachers from G region. the data were analyzed using correlation, Cronbach's ${\alpha}$, Exploratory Factor Analysis (EFA) and Confirmatory Factor Analysis (CFA). Results: The pre-service teacher efficacy scale was consisted of 3 factors, 'efficacy for instructional strategies', 'efficacy for student engagement' and 'efficacy for classroom management' with 12 items. Cronbach's ${\alpha}$ was ranged from .72 to .82. The confirmatory factor analysis revealed that CMIN/DF = 1.59, RMSEA = .05, SRMR = .05, TLI = .96, CFI = .97. Conclusion/Implications: In conclusion, all these results show that the pre-service teacher efficacy scale is quite a reliability and validity.

• Journal of Digital Convergence
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• v.17 no.10
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• pp.177-186
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• 2019

The purpose of this study is to enhance the understanding of consumer experience and behavior of Internet of Things (IoT) services and to provide practical implications through investigating the impact of benefits-cost factors and network externalities on consumers' adoption intention of IoT services. An online survey was conducted on general consumers in their 20s to 60s who were aware of the IoT services and 328 data were collected. Using SPSS 24.0, frequency analysis, correlation analysis, factor analysis, and hierarchical regression analysis were conducted. As a result, the level of consumers' IoT service experience in various contexts was examined, and entertainment, informativeness, loss of humanity, compatibility, and complementarity were found to have a significant effect on consumers' adoption intention of IoT services. This study suggests that strengthening network externality effects by increasing compatibility and complementarity is important in promoting consumers' adoption of IoT services. In future studies, it is necessary to adopt specific Internet of Things services to verify the validity of the models developed in this study.

• Proceedings of the Korea Water Resources Association Conference
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• 2023.05a
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• pp.466-466
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• 2023

전세계적으로 2050년까지 탄소 배출량을 0으로 만들기 위한 탄소중립을 선언하였고, 우리나라에서는 온실가스 감축 목표 달성을 위해 논물관리기술 확산, 가축분뇨 자원순환 등 농업 분야 탄소 저감 계획을 수립하였다. 특히, 논물관리기술을 통한 탄소 저감 목표를 달성하기 위해서는 지역별 적합한 논물관리기술 모델이 개발되어야 한다. 이에 본 연구에서는 강원도 지역에 적합한 논물관리기술 모델 개발을 위해 강원도 원주시 일대 6개의 시험포를 조성하여 메탄 발생량을 모니터링 하였다. 각 시험포는 상시담수(S1), 4주 중간 물떼기+얕게 걸러 대기(S2), 4주 중간 물떼기+얕게 대기(S3), 3주 중간 물떼기+얕게 걸러 대기(S4), 2주 중간 물떼기+얕게 걸러 대기(S5), 2주 중간 물떼기+얕게 대기(S6)로 논물관리기간을 다르게 설정하였다. 그리고 각 시험포에는 메탄 발생량 모니터링을 위해 각각 3개의 챔버와 논물관리를 위한 자동물꼬조절장치를 설치하였다. 메탄발생량 모니터링은 2022년 5월부터 2022년 9월까지 총 5개월 동안 25회 진행하였다. 메탄 발생량 모니터링 결과 S1은 423.1 kg/ha, S2는 348.4 kg/ha, S3은 396.4 kg/ha, S4는 164.7 kg/ha, S5는 347.9 kg/ha, S6은 234.1 kg/ha 의 메탄이 배출된 것으로 분석되었다. 분석결과와 같이 S1에서 메탄 발생량이 가장 많았으며, S4에서 가장 적게 발생한 것으로 분석되었다. 논에서 발생되는 메탄에 영향을 주는 인자는 토양 유기물, 토양 산도 등이 중요한 요인으로 알려져 있으며, 이앙 전과 수확 후 토양분석을 진행한 결과 시험포별 인자별 변화량 차이가 나타났다. 따라서 장기적인 모니터링을 통해 논물관리기술에 따른 토양유기물 및 토양 산도 변화에 대한 보완이 필요할 것으로 판단되며, 지속적인 메탄 발생량 모니터링을 통해 강원도 지역에 적합한 논물관리기술을 적용해야 할 것으로 보여진다.

• Journal of Internet of Things and Convergence
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• v.10 no.2
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• pp.93-102
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• 2024

The purpose of this study is examine the validity of digital competency indicators in order to develop a tool that can measure the digital competency of preschool teachers. To review the validity, exploratory factor analysis and confirmatory factor analysis were conducted on the data of 272 preschool teachers. The exploratory factor analysis resulted in four factors, and the confirmatory factor analysis verified the fit, validity(convergent validity, discriminant validity) and reliability of each competency group and the model composition of sub-competency indicators. The four factors validated were named 'Understanding Digital Technologies', 'Digital Technology Understanding', 'Digital Technology Application', 'Digital Technology-based Communication', 'Digital Ethics Understanding and Practice'. The analysis results demonstrated the reliability and validity of the tool for measuring the digital competencies of preschool teachers, and it is meaningful in that it can provide a foundation for measuring the digital competency of preschool teachers and conducting education program suitable for each digital competency level.

• Journal of Forest and Environmental Science
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• v.9 no.1
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• pp.57-66
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• 1993

The purpose of this study is to offer detailed topographic information for substantially selecting the yarding machine for mechanized yarding operations, classifying the forest site by cluster analysis and principal component analysis, and investigating simultaneously the variables which give much influence on the classification of forest site in forestry build-up region (21, 477ha) of Chunchon Gun, Kwangweon Do. Ten topographic variables were used for the analysis. The results of study were as follows : 1) Gosung region (2, 252ha) was classified into hilly terrain (57%) and steep terrain (43%) and required the tractor prehauling system for the former one and the medium skyline system for latter one, respectively. 2) 65% of Gajung region (2,306ha) and 67% of Kwangpan region (2, 627ha) were classified into steep terrain fitted for the medium skyline system and the portion of both region showed the hilly terrain for the tractor prehauling system. 3) Jiam region (4, 591ha), consisted only of steep terrain, required the medium skyline system. 4) Gunja region (3, 400ha), Sudong region (3, 984ha) and Sinpo region (2, 340ha) were classified into steep terrain, requiring the medium skyline system, with 85%, 75%, and 75%, respectively.

• Journal of Dental Rehabilitation and Applied Science
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• v.26 no.1
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• pp.39-46
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• 2010

To assess the stress distribution of implant prosthesis induced by intentional misfit using photoelastic model. Stress was measured at the surrounding bone after applying vertical load to the implant. Three implants were placed in each of three photoelastic resin blocks. No misfits were used for the control group, while for the experimental group $100{\mu}m$ misfit after cutting the crown was used. The photoelastic stress analysis was performed. In control group, stress concentration was not shown when the load was not applied, whereas stress concentration was shown only in the loaded part even when load was applied and the stress was distributed in anterior-posterior direction when applying a load in the middle. When intentional misfits were given, stress around the fixture was incurred when tightening the screw even if load was not applied. If the load was applied, stress was concentrated around the implants including areas where the load was applied. In particular, the prosthesis made of UCLA showed more stress concentration as compared with a conical abutment. In the UCLA case, concentration was shown from the apex following through the axis to the cervical area. Prosthesis with misfit makes the stress concentrated though the load was not applied and it induces even more severe stress concentration when the load was applied. This founding demonstrates the importance of the correct prosthesis production.