• Journal of Engineering Education Research
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• v.9 no.2
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• pp.52-70
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• 2006

Systems Engineering(SE), as a special discipline evolved from multidisciplinary and interdisciplinary design knowledges and practical lessons learned from development practices, is required to develop today's ever-growing large complex systems. As computer speed and analytic sophistication accelerate their applications, modern society's needs have become increasingly varied and complex. Rapid advances in Systems Engineering and its education programs among the developed countries demonstrate their needs as an alternative to what is lacking from traditional disciplinary engineering to meet new challenges of our changing social environments. Systems Engineering is an interdisciplinary approach that includes both management and technical processes. Its processes, methods, and tools are used to evolve, define, and verify an integrated, life-cycle balanced set of system solution that satisfy customer needs and requirements. The process methodology offers a top-down comprehensive, iterative and recursive problem solving process which includes the stating the problems, investigating the alternatives, architecting and modeling the system, integrating and operating the system, assessing and re-evaluating the system performances. The purpose of this paper is to research the cases of SE educational programs for both domestic and other developed countries and to propose recommendations for the domestic SE educational programs in the future.

• Convergence Security Journal
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• v.23 no.2
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• pp.27-36
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• 2023

In recent years, ransomware attacks have become more organized and specialized, with the sophistication of attacks targeting specific individuals or organizations using tactics such as social engineering, spear phishing, and even machine learning, some operating as business models. In order to effectively respond to this, various researches and solutions are being developed and operated to detect and prevent attacks before they cause serious damage. In particular, honeypots can be used to minimize the risk of attack on IT systems and networks, as well as act as an early warning and advanced security monitoring tool, but in cases where ransomware does not have priority access to the decoy file, or bypasses it completely. has a disadvantage that effective ransomware response is limited. In this paper, this honeypot is optimized for the user environment to create a reliable real-time dynamic honeypot file, minimizing the possibility of an attacker bypassing the honeypot, and increasing the detection rate by preventing the attacker from recognizing that it is a honeypot file. To this end, four models, including a basic data collection model for dynamic honeypot generation, were designed (basic data collection model / user-defined model / sample statistical model / experience accumulation model), and their validity was verified.

• Journal of the Society of Disaster Information
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• v.14 no.2
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• pp.194-202
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• 2018

Purpose: It is necessary to set up a standardized method for classifying mixed soil layer that contains sand, gravel and boulder for engineering purposes. Method: Different size of soils was classified mixed soil layer by suggests unified soil classification method. Results: This paper suggests unified soil classification model for different size of soils where many authorities have their own system. Conclusion: Soil stratum classification method using appearing frequencies of gravels and weight ratio of boulders could be used to judgement in many cases.

• Journal of Engineering Education Research
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• v.11 no.2
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• pp.79-89
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• 2008

The purpose of this study is to research the women engineers' recognition with a triangulation method and make suggestions on desirable education in engineering. The research period is for about 4 months from December 15, 2007 to April 4, 2008. The objects of the research are two groups of female engineers at D college located in the metropolitan area - the first group had 187 women engineering majors, 3 women graduate students and 2 women professors in engineering department, and the second group had 5 women engineering majors who once stayed out of school temporarily, 4 women engineering graduates, and 5 graduates who are currently working. The second group is intently selected in order to look into the detailed factors that affect the recognition of women engineers. The methods of the research varied and included were surveys on the web, personal interviews, focus meetings, surveys by e-mail and telephone, etc. The results of the study show what the women engineers want in engineering education includes to have role models of women engineers who can cast a vision to them, get a leadership training especially for when they lead a group that has both man and woman members. It was also found that experincing a cooperative learning through diverse projects is essential to build basic character training and competency, and practical education is required for the major or becoming a full time worker.

• KSCE Journal of Civil and Environmental Engineering Research
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• v.43 no.6
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• pp.841-849
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• 2023

Construction projects have risks due to various factors such as construction delays and construction accidents. Based on these construction risks, the method of calculating the construction period of the construction project is mainly made by subjective judgment that relies on supervisor experience. In addition, unreasonable shortening construction to meet construction project schedules delayed by construction delays and construction disasters causes negative consequences such as poor construction, and economic losses are caused by the absence of infrastructure due to delayed schedules. Data-based scientific approaches and statistical analysis are needed to solve the risks of such construction projects. Data collected in actual construction projects is stored in unstructured text, so to apply data-based risks, data pre-processing involves a lot of manpower and cost, so basic data through a data classification model using text mining is required. Therefore, in this study, a document-based data generation classification model for risk management was developed through a data classification model based on SVM (Support Vector Machine) by collecting construction project documents and utilizing text mining. Through quantitative analysis through future research results, it is expected that risk management will be possible by being used as efficient and objective basic data for construction project process management.

• Journal of the Korea Academia-Industrial cooperation Society
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• v.20 no.6
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• pp.573-578
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• 2019

This paper applied to the Korean Lesson using PBL(Problem-Based Learning) based on Google Classroom for Mongolians. Recently, Mongolians trying to learn Korean because of Korean wave. This study aims to develop the online problem-based learning model as a way to develop the creative problem-solving ability of Mongolians who want to learn Korean. We applied 3 problems for 9 weeks. This study shows that the participants experienced the effectiveness of Google Classroom and PBL in many ways, 93% of the participants reported that Google Classroom and PBL helped them to learn Korean easily and interesting distance learning model, 90% of the participants prefer to explore Googlish programs and online learning, 85% of them said that increased interaction others in online environment easily. 100% of them said that thankful for learning Korean with Online tutor anytime on Google Classroom. Truly, 86% of them said PBL was hard to generate and understand it because very new instruction for them and working with team in online learning environment. The study showed that members of Korean Lesson experienced various effects such as understanding of learning contents, understanding of cooperative learning, practical experience, creative problem solving ability, presentation skill, communication ability, self - directed learning ability, self - confidence through Google Classroom based PBL.

• Communications of Mathematical Education
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• v.37 no.4
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• pp.717-736
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• 2023

The purpose of this study is to develop a statistical program using data and artificial intelligence prediction models and apply it to one class in the sixth grade of elementary school to see if it is effective in improving students' statistical literacy. Based on the analysis of problems in today's elementary school statistical education, a total of 15 sessions of the program was developed to encourage elementary students to experience the entire process of statistical problem solving and to make correct predictions by incorporating data, the core in the era of the Fourth Industrial Revolution into AI education. The biggest features of this program are the recognition of the importance of data, which are the key elements of artificial intelligence education, and the collection and analysis activities that take into account context using real-life data provided by public data platforms. In addition, since it consists of activities to predict the future based on data by using engineering tools such as entry and easy statistics, and creating an artificial intelligence prediction model, it is composed of a program focused on the ability to develop communication skills, information processing capabilities, and critical thinking skills. As a result of applying this program, not only did the program positively affect the statistical literacy of elementary school students, but we also observed students' interest, critical inquiry, and mathematical communication in the entire process of statistical problem solving.

• Journal of Korean Tunnelling and Underground Space Association
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• v.21 no.4
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• pp.519-534
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• 2019

Mechanized tunneling methods, including shield TBM, have been increasingly used for tunnel construction because of their relatively low vibration and noise levels as well as low risk of rock-falling accidents. In the excavation using the shield TBM, it is important to design penetration rate appropriately. In present study, both subsurface investigation data and shield TBM excavation data, produced for and during ${\bigcirc}{\bigcirc}{\sim}{\bigcirc}{\bigcirc}$ high-speed railway construction, were analyzed and used to compare with shield TBM penetration rates calculated using existing penetrating rate prediction models proposed by several foreign researchers. The correlation between thrust force per disk cutter and uniaxial compressive strength was also examined and, based on the correlation analysis, a simple prediction model for penetration rate was derived. The prediction results using the existing prediction models showed approximately error rates of 50~500%, whereas the results from the simple model proposed from this study showed an error rate of 15% in average. It may be said, therefore, that the proposed model has higher applicability for shield TBM construction in similar ground conditions.

• Journal of the Korea institute for structural maintenance and inspection
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• v.28 no.2
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• pp.69-76
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• 2024

The rheological properties of fresh concrete significantly influence its manufacturing and performance. However, the diversification of newly developed mixtures and manufacturing techniques has made it challenging to accurately predict these properties using traditional empirical methods. This study introduces a multiscale rheological property prediction model designed to quantitatively anticipate the rheological characteristics from nano-scale interparticle interactions, such as those among cement particles, to micro-scale behaviors, such as those involving fine aggregates. The Yield Stress Model (YODEL), the Chateau-Ovarlez-Trung equation, and the Krieger-Dougherty equation were utilized to predict the yield stress for cement paste and mortar, as well as the plastic viscosity. Initially, predictions were made for the paste scale, using the water-cement ratio (W/C) of the cement paste. These predictions then served as a basis for further forecasting of the rheological properties at the mortar scale, incorporating the same W/C and adding the cement-sand volume ratio (C/S). Lastly, the practicality of the predictive model was assessed by comparing the forecasted outcomes to experimental results obtained from rotational rheometer.

• Proceedings of the Korean Society of Coastal and Ocean Engineers Conference
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• 2002.08a
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• pp.316-320
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• 2002

폭풍해일이나 파랑에 대한 보다 정확한 예측을 위해서는 해상에서의 바람장에 대한 정확한 추산이 선행되어야 하며, 특히 해상ㆍ연안재해를 유발시키는 최대풍이 주로 태풍상황에서 발생되기 때문에 이에 대한 정확한 예측이 매우 중요하다. 태풍은 일반적인 온대성 저기압이나 고기압과는 달리 그 중심부근에서 기압과 바람의 시공간적 변화가 크고 태풍의 중심이 빠른 속도로 이동되기 때문에 일반적인 기상자료 분석에 의해 산출된 바람장은 해양모델에서 요구되는 상세한 변화를 나타내지 못하고, 특히 실제 관측된 기상자료가 전무한 해상으로 태풍이 이동했을 경우에는 일기도 격자점 상의 기압으로 해상풍을 구하는 것은 큰 오차를 유발한다(해양수산부, 2001). (중략)