• Journal of the Korea Society of Computer and Information
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• v.17 no.10
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• pp.217-226
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• 2012

This study intends to analyse the programming class with visual-basic, scratch and pico-cricket in elementary school. The study analyses cognitive domain by creativity tests and instructional process by student task engagement and the required factor of student's activity-nowadays, a lot of encouragement of learning use-. According to the result, The creativity of groups who use three teaching aid improves, but it hasn't any meaning. according to the student task engagement analysis by instructional process, According to the student task engagement analysis by instructional process, The concentration of group that uses pico-cricket and scratch falls down a little, but The concentration of group that uses visual-basic falls down remarkably. At last, according to the result of the required factor of student's activity, scratch and pico-cricket spend time discussing and programming, but visual-basic spends time correcting coding error. But pico-cricket spends much time preparing teaching aid or checking instrument, so this fact has to reflect when teacher plans his class. Through this fact, scratch and pico-cricket are better than visual basic as effective teaching aid when teacher teaches programming.

• Journal of Science and Technology Studies
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• v.18 no.1
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• pp.177-217
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• 2018

This study examines the case of living lab applied in the R&D initiatives for solving societal problems and challenges. It discusses how to use the living lab in national R&D projects. The analyzed cases are 'Develop portable fundus camera for eye disease screening test to resolve health inequalities' and 'Auto-sensing integrated system development in rural pedestrian crosswalk'. As a result of the analysis, both cases were designed as a user participatory R&D structure by utilizing living lab. In other words, living lab has operated as a system that evolves technology-products-services into an infrastructure. It can realize final demand specification, product, service improvement and demonstration through continuous interaction of end users. As a result of the case analysis, the following policy tasks can be derived. First, living lab is a new concept and it is in the early stage of implementation in Korea. Therefore, it is necessary to monitor and evaluate living lab experiments and build suitable models for Korean society by sharing cases and achievements. Second, the strategic niche management are necessary for the introduction of living lab. Third, living lab can be used as a tool to transform the existing technology acquisition centered innovation policy to the policy for customer needs and problem solving. Fourth, there is a need for flexibility and adaptability in strategy and system to correct errors that appear in the living lab processes.

• Journal of Korean Home Economics Education Association
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• v.31 no.2
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• pp.51-65
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• 2019

The purpose of this study was to collect information for the improvement of sewing practice classes and to draw implications by carrying out an investigation into the perception and needs of 185 students in the first grade of high school for sewing practice classes. The results of the study are as follows. First, most of the students perceived that the instructional objectives of the practicum as the utilization in everyday life. The students' perception of the class was moderately positive. In terms of the subfactors, the participation level appeared to be the highest while the comprehension level was the lowest. Also, the utilization level showed the greatest difference between male and female students. The results suggest that female students were more positive in their perception of the class than the male students because of the significant difference in the subfactors of class perception, excluding utility and teaching learning method satisfaction. Second, it appeared that the students were likely to use these skills in everyday life as a result of the sewing practice classes. In terms of the practice content, students preferred working individually in terms of organizing their own projects, making their own selections, and freely deciding the size of their products. This study demonstrated that the students preferred teacher-centered classes when acquiring skills and knowledge and student-centered classes when brainstorming and performing the teacher's role. In terms of instructional management, the students preferred four to six 50-minute long lessons per semester and no group work involved.

• Journal of the Korean Institute of Gas
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• v.17 no.2
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• pp.59-69
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• 2013

This study presents development of the ANN simulator for well placement of infill drilling in gas fields. The input data of the ANN simulator includes the production time, well location, all inter well distances, boundary inter well distance, infill well position, productivity potential, functional links, reservoir pressure. The output data includes the bottomhole pressure in addition to the production rate. Thus, it is possible to calculate the productivity and bottomhole pressure during production period simultaneously, and it is expected that this model could replace conventional simulators. Training for the 20 well placement scenarios was conducted. As a result, it was found that accuracy of ANN simulator was high as the coefficient of correlation for production rate was 0.99 and the bottomhole pressure 0.98 respectively. From the resultes, the validity of the ANN simulator has been verified. The term, which could produce Maximum Daily Quantity (MDQ) at the gas field and the productivity according to the well location was analyzed. As a result, the MDQ could be maintained for a short time in scenario C-1, which has the three infill wells nearby aquifer boundary, and a long time in scenario A-1. In conclusion, it was found that scenario A maintained the MDQ up to 21% more than those of scenarios B and C which include parameters that might affect the productivity. Thus, the production rate can be maximized by selecting the location of production wells in comprehensive consideration of parameters that may affect the productivity. Also, because the developed ANN simulator could calculate both production rate and bottomhole pressure, respectively, it could be used as the forward simulator in a various inverse model.

• The Journal of Korea Institute of Information, Electronics, and Communication Technology
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• v.12 no.6
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• pp.629-635
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• 2019

In Deep Learning models derivative is implemented by error back-propagation which enables the model to learn the error and update parameters. It can find the global (or local) optimal points of parameters even in the complex models taking advantage of a huge improvement in computing power. However, deliberately generated data points can 'fool' models and degrade the performance such as prediction accuracy. Not only these adversarial examples reduce the performance but also these examples are not easily detectable with human's eyes. In this work, we propose the method to detect adversarial datasets with random noise addition. We exploit the fact that when random noise is added, prediction accuracy of non-adversarial dataset remains almost unchanged, but that of adversarial dataset changes. We set attack methods (FGSM, Saliency Map) and noise level (0-19 with max pixel value 255) as independent variables and difference of prediction accuracy when noise was added as dependent variable in a simulation experiment. We have succeeded in extracting the threshold that separates non-adversarial and adversarial dataset. We detected the adversarial dataset using this threshold.

• 대한공업교육학회지
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• v.34 no.1
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• pp.196-209
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• 2009

The purpose of this study was to analyze engineering basic competencies about the time completed a course and educational needs of engineering college graduates. Survey method using questionnaire was the major research method of this study. A survey of 807 engineering college graduates was carried out. Questionnaire were made of the level of engineering basic competencies of engineering college graduates, its priorities of actual vocation and level of engineering basic competencies of major. Major results of the study, some recommendations for future researches were made as follows: The level of engineering basic competencies of engineering college graduates was 3.3 average(5 full marks). Engineering basic competencies that educational needs were high respectively, were an ability to communicate effectively, an ability to design a system, component, or process to meet desired needs, an ability to function on multi-disciplinary teams, an ability to understand global culture and cooperate internationally, an ability to design and conduct experiment as well as to analyze and interpret data, and an ability to engage in life-long learning.

• Journal of the Korea Institute of Information Security & Cryptology
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• v.23 no.5
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• pp.919-929
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• 2013

Recently, a variety of IT technologies are applied to the vehicle. However, some vehicle-IT technologies without security considerations may cause security problems. Specially, some researches about a smart key system applied to automobiles for authentication show that the system is insecure from replay attacks and modification attacks using a wireless signal of the smart key. Thus, in this paper, we propose an authentication method for the driver by using driving patterns. Nowadays, we can obtain driving patterns using the In-vehicle network data. In our authentication model, we make driving ppatterns of car owner using standard normal distribution and apply these patterns to driver authentication. To validate our model, we perform an k-fold cross validation test using In-vehicle network data and obtain the result(true positive rate 0.7/false positive rate is 0.35). Considering to our result, it turns out that our model is more secure than existing 'what you have' authentication models such as the smart key if the authentication result is sent to the car owner through mobile networks.

• Information Systems Review
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• v.11 no.1
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• pp.19-47
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• 2009

Many products today tend to adopt a convergence approach by adding new features or functionalities to the existing products. The convergence, however, results in both positive and negative effects on usage of products, and thus demonstrates the characteristics called "paradox of technology." On the one hand, the added functionalities or features will increase the usefulness of the products. On the other hand, the convergence increases complexity of learning and usage of products and may decrease satisfaction or user evaluations. This study provides an empirical evidence of this paradox through investigation of telematics, one of the exemplary products of convergence services. Our research model is designed to test the existence of the "paradox of technology" and includes variables such as variety of functions, complexity of usage, perceived usefulness, service evaluation, and service fit. The proposed research model and subsequent hypotheses are empirically tested using 149 survey responses from telematics users. We have found that the variety of functions is positively associated with perceived usefulness, but is negatively associated with the complexity of usage. The data analysis reveals that the perceived usefulness has more significant impacts on service evaluation than the complexity of usage does. Furthermore, the strength of causal relationships among these variables is partially moderated by the degree of service fit. This study thus highlights the paradox of technology in explaining user attitudes and beliefs associated with convergence services.

• Journal of the Korea Academia-Industrial cooperation Society
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• v.18 no.10
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• pp.299-308
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• 2017

This study was conducted to investigate the effects of child nursing simulation using standardized patient on nursing student's anxiety, self-efficacy, and critical thinking disposition. A one group pre test-post test design was used. The subjects of the study were 62 students in the nursing department and 4th year students at the university in C city. The hospitalized child nursing simulation was conducted for approximately 3.5 hours, including 60 minutes of pre-study and orientation, 60-80 minutes of hands-on scenarios, and 30 minutes of reflection diary writing and debriefing. The data collection was conducted from March to December 2016. Statistical analyses of the collected data were conducted, including t-tests, Pearson's correlation coefficient, and Cronbach's ${\alpha}$. Analyses were conducted using SPSS 21.0. The results of the study showed that anxiety (p <.001) was significantly lower and self-efficacy (p<.001) and critical thinking disposition (p<.001) were higher. Therefore, we propose that various scenarios for simulation practice that utilize standardized patients to enhance core nursing abilities be developed.

• Journal of the Korea Academia-Industrial cooperation Society
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• v.21 no.10
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• pp.461-470
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• 2020

This study analyzed the determinants of land compensation costs using the CALS (Continuous Acquisition & Life-Cycle Support) system to generate data for the construction (planning, design, building, management) process. For analysis, variables used in the related research on land costs were used, which included eight variables (Land Area, Individual Public Land Price, Appraisal & Assessment, Land Category, Use District 1, Terrain Elevation, Terrain Shape, and Road). Also, the variables were analyzed using the machine learning-based Xgboost algorithm. Individual Public Land Price was identified as the most important variable in determining land cost. We used a linear multiple regression analysis to verify the determinants of land compensation. For this verification, the dependent variable included was the Individual Public Land Price, and the independent variables were the numeric variable (Land Area) and factor variables (Land Category, Use District 1, Terrain Elevation, Terrain Shape, Road). This study found that the significant variables were Land Category, Use District 1, and Road.