• 한국정보시스템학회지:정보시스템연구
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• 제15권2호
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• pp.227-245
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• 2006

Several studies have investigated the success of ASP(Application Service Provider) from various perspectives. This study, thus, investigated factors affecting ASP effectiveness in various literature relevant ASP and outsourcing. By applying the basic ideas of the IS success model, this study proposes a research model of the factors affecting the success of ASP, in term of internal factors(Top Management Involvement, User Participation, IS Maturity) and external factors(Transaction Reliability, Service Reliability, System Trust Security). The proposed model is expected to help both researchers and practitioners extend their understanding of the success factors of the ASP effectiveness.

• 한국사회복지학
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• 제64권1호
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• pp.151-175
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• 2012

본 연구는 청소년의 자살생각을 감소시키며 자살위험에 처한 청소년을 위한 개입방안을 모색하기 위하여 청소년 자살생각에 미치는 부모학대와 또래괴롭힘의 영향에서 대인관계내재화와 절망감의 매개효과를 살펴보았다. 연구결과, 부모학대는 매개변인을 통하여 청소년의 자살생각에 미치는 영향보다 직접적으로 자살생각에 미치는 영향이 더 큰 것으로 나타났다. 반면, 또래괴롭힘은 대인관계내재화와 절망감에 순차적으로 매개함으로써 청소년의 자살생각에 영향을 미치는 것으로 나타났다. 이러한 연구결과를 바탕으로 실천적 함의 및 후속연구에 대한 제언을 제시하였다.

• Ecology and Resilient Infrastructure
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• 제5권4호
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• pp.210-218
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• 2018

본 연구에서는 침수된 계단 흐름의 변화에 따른 인명의 대피 안전성을 분석하기 위하여 실규모의 계단 수로 모형을 제작하여 수리 실험을 수행하였다. 실험에서는 계단 각각의 단에서의 수심과 유속을 측정하였으며 이를 이용하여 단위 폭당 비력을 산출하였다. 그리고 산출된 단위 폭당 비력 값을 이용하여 침수된 계단 흐름의 변화에 따른 구간별 대피 안전성을 제시하였다. 실험을 통해 측정된 수심 값과 Ishigaki의 단위 폭당 비력에 따른 대피 안전성 그래프를 결합하여 분석한 결과 계단 흐름 수심 0.20 m 이상에서는 도움 없이 성인 남성의 대피가 어려운 것이 확인되었으며, 수심 0.15 m 이상에서는 성인 여성과 노인 남성이 도움 없이 대피가 어려운 것으로 확인되었다. 노인 여성의 경우 수심 0.13 m 이상에서 도움 없이 대피가 어려운 것으로 나타났다.

• IMMUNE NETWORK
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• 제12권3호
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• pp.118-125
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• 2012

CD40-CD40L-mediated help from CD4 T cells is essential to induce primary CD8 T cell responses specific to the non-inflammatory cell-based antigen H60. In this study, using H60 as a model antigen, we generated recombinant vaccinia viruses (rVVs) expressing the H60 CD8 epitope and investigated whether CD4 help was required to activate the CD8 T cell response specific to the virally expressed H60. The immune response after infection with rVVs expressing H60 was similar to that after immunization with H60 congenic splenocytes, with a peak frequency of H60-specific CD8 T cells detected in the blood on day 10 post-infection. A CD8 T cell response specific for virally derived H60 was not induced in CD4-depleted mice, but was in CD40-deficient mice. These results provide insights into the characterization of the CD8 T cell response specifically for antigens originating from cellular sources compared to viral sources.

• International Journal of Computer Science & Network Security
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• 제22권5호
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• pp.294-302
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• 2022

Detection of fake news is a complex and a challenging task. Generation of fake news is very hard to stop, only steps to control its circulation may help in minimizing its impacts. Humans tend to believe in misleading false information. Researcher started with social media sites to categorize in terms of real or fake news. False information misleads any individual or an organization that may cause of big failure and any financial loss. Automatic system for detection of false information circulating on social media is an emerging area of research. It is gaining attention of both industry and academia since US presidential elections 2016. Fake news has negative and severe effects on individuals and organizations elongating its hostile effects on the society. Prediction of fake news in timely manner is important. This research focuses on detection of fake news spreaders. In this context, overall, 6 models are developed during this research, trained and tested with dataset of PAN 2020. Four approaches N-gram based; user statistics-based models are trained with different values of hyper parameters. Extensive grid search with cross validation is applied in each machine learning model. In N-gram based models, out of numerous machine learning models this research focused on better results yielding algorithms, assessed by deep reading of state-of-the-art related work in the field. For better accuracy, author aimed at developing models using Random Forest, Logistic Regression, SVM, and XGBoost. All four machine learning algorithms were trained with cross validated grid search hyper parameters. Advantages of this research over previous work is user statistics-based model and then ensemble learning model. Which were designed in a way to help classifying Twitter users as fake news spreader or not with highest reliability. User statistical model used 17 features, on the basis of which it categorized a Twitter user as malicious. New dataset based on predictions of machine learning models was constructed. And then Three techniques of simple mean, logistic regression and random forest in combination with ensemble model is applied. Logistic regression combined in ensemble model gave best training and testing results, achieving an accuracy of 72%.

• Nuclear Engineering and Technology
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• 제41권5호
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• pp.747-752
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• 2009

A vulnerability assessment is essential for the efficient operation of a physical protection system (PPS). Previous assessment codes have used a simple model called an adversary sequence diagram. In this study, the use of a two-dimensional (2D) map of a facility as a model for a PPS is suggested as an alternative approach. The analysis of a 2D model, however, consumes a lot of time. Accordingly, a generalized heuristic algorithm has been applied to address this issue. The proposed assessment method was implemented to a computer code; Systematic Analysis of physical Protection Effectiveness (SAPE). This code was applied to a variety of facilities and evaluated for feasibility by applying it to various facilities. To help upgrade a PPS, a sensitivity analysis of all protection elements along a chosen path is proposed. SAPE will help to accurately and intuitively assess a PPS.

• Child Health Nursing Research
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• 제24권4호
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• pp.364-372
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• 2018

Purpose: The aim of this study was to test whether maternal uncertainty and the general characteristics of mothers and children influenced maternal coping. Methods: In this cross-sectional study, 190 mothers whose children had been admitted to the pediatric ward of a general hospital completed self-report questionnaires during their children's hospitalization. The questionnaires assessed the general characteristics of the mothers and children, maternal uncertainty, and maternal coping. Multiple regression analysis was used to test the research model. Results: In the multivariable model, help from one's spouse (t=3.10, p=.002), religion (t=2.68, p=.008), overall ambiguity (t=2.64, p=.009), and family income (t=2.33, p=.021) were associated with higher coping scores. Conclusion: This research model presents possible guidelines for pediatric nurses to provide comprehensive and accurate information on children's illnesses and treatments for mothers of children hospitalized in general hospitals. In particular, nurses should pay more attention to mothers who are not receiving help from their spouses, are not religious, and have a low family income.

• Advances in Automotive Engineering
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• 제1권1호
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• pp.41-59
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• 2018

In the study, investigation of fiber- reinforced composite materials that can be an alternative to conventional steel was performed by finite element analysis with the help of software. Steel and composite materials have been studied on a four axle truck chassis model. Three-dimensional finite element model was created with software, and then analyzes were performed. The analyses were performed for static and dynamic/fatigue cases. Fatigue cases are formed with the help of design spectra model and fatigue analyses were performed as static analyses with this design spectra. First, analyses were performed for steel and after that optimization analyses were made for the AS4-PEEK carbon fiber composite and Eglass-Epoxy fiber composite materials. Optimization of composite material analyzes include determining the total laminate thickness, thickness of each ply, orientation of each ply and ply stacking sequence. Analyzes were made according to macro mechanical properties of composite, micromechanics case has not been considered. Improvements in weight reduction up to %50 provided at the end of the composite optimization analyzes with satisfying stiffness performance of chassis. Fatigue strength of the composite structure depends on various factors such as, fiber orientation, ply thickness, ply stack sequence, fiber ductility, ductility of the matrix, loading angle. Therefore, the accuracy of theoretical calculations and analyzes should be correlated by testing.

• 한국항공운항학회지
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• 제26권4호
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• pp.54-63
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• 2018

Airlines are promoting self-service based technology by introducing mobile check-in, Kiosk and self-back drop systems, which will help customer satisfaction and efficiency. This study is about the usage intension to use Technology-based Airline Self-Service, the purpose of this study is to examine the key variables affecting Unified Theory of Acceptance (UTAUT2) in using Technology-based Airline Self-Service. According to the results of the ANOVA, there was a significant difference among the groups according to the experience of the self-service device. And analysis results using Structural Equation Model(SEM) was suggested that the performance expectation and hedonic motive of UTAUT2 model were found to have significant influence on initial trust. Also, initial trust affects the intention to use. There are some moderating effects on the structural equation by groups according to the experience of the self-service device. This research has significance in that it can help establish a marketing strategy of airlines to expand the self-service based on the airline technology.

• International Journal of Advanced Culture Technology
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• 제10권1호
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• pp.160-169
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• 2022

This qualitative study aimed to investigate ways to improve effective cooperative learning from students' perspective by understanding and analyzing the learning experiences of nursing students who participated in a collaborative problem-solving learning model. Data were collected through focus group interviews and reflection journals of six second-year nursing students from G-university in J-city who participated in a collaborative problem-solving learning model course. The interview data were analyzed and divided into 3 categories and 10 subcategories according to the six-step thematic analysis method proposed by Braun and Clarke. The results of analyzing the interviews were considered based on three areas: preparation before learning, the process of collaborating as a cooperative learning experience, and solutions and expectations after learning. The participants felt frustrated because collaborative problem-solving took more time for individual learning than traditional methods did and would not allow them to check the correct answers immediately. However, they gained new experiences by solving problems and engaging in discussions within their learning community. The participants' expectations included material that could help their learning, measures to prevent free-riders, and consideration of the learning process in evaluation factors. Although this study has sample limitations by targeting nursing students in only one region, it can be used to help operate collaborative problem-solving classes, as it reflects the real experiences and opinions of students.