• The Journal of Korean Institute for Practical Engineering Education
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• v.2 no.1
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• pp.164-173
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• 2010

In recent decades, focuses on usability and emphases on user-centric design have become more prevalent in the field of software design. However, it is not always easy for engineers and computer scientists to think in the users' shoes. Human-computer interaction (HCI) is a field of study that focuses on creating technologies easier and more intuitive for the users. This paper is based on teaching HCI skills to undergraduate computer science students in a software application design course. Specifically, this paper employs: first, the HCI skills taught to the students; second, the tendencies and challenges of the students in creating user-centric applications; and lastly, suggestions based on our findings to promote HCI in developing user-friendly software. While more firm conclusions shall be reserved for more formal empirical studies, the findings in this paper still offer implications and suggestions for promoting user-centric approach for software designers and developers in the technology industry.

• Journal of the Korea Institute of Information and Communication Engineering
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• v.19 no.6
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• pp.1506-1514
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• 2015

In this paper, we proposed a forest fires prediction and detection system. It could provide a situation of fire prediction and detection methods using context awareness sensor. A fire occurs wide range of sensing a fire in a single camera sensor, it is difficult to detect the occurrence of a fire. In this paper, we propose an algorithm for real-time by using a temperature sensor, humidity, Co2, the flame presence information acquired and comparing the data based on multiple conditions, analyze and determine the weighting according to fire in complex situations. In addition, it is possible to differential management of intensive fire detection and prediction for required dividing the state of fire zone. Therefore we propose an algorithm to determine the prediction and detection from the fire parameters as an temperature, humidity, Co2 and the flame in real-time by using a context awareness sensor and also suggest algorithm that provide the path of fire diffusion and service the secure safety zone prediction.

• Journal of Engineering Education Research
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• v.23 no.2
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• pp.24-30
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• 2020

This paper proposes the approaches to the evaluation of learning using concepts of artificial intelligence. Among various techniques, deep learning algorithm is employed to achieve quantitative results of evaluation. In particular, this paper focuses on the process-based evaluation instead of the result-based one using face expression. The expression is simply acquired by digital camera that records face expression when students solve sample test problems. Face expressions are trained using convolutional neural network (CNN) model followed by classification of expression data into three categories, i.e., easy, neutral, difficult. To substantiate the proposed approach, the simulation results show promising results, and this work is expected to open opportunities for intelligent evaluation system in the future.

• Journal of the Korea Society of Computer and Information
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• v.23 no.5
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• pp.15-23
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• 2018

Recently, convergence engineering is emerged technology to make a whole new conceptual methodology attractively more than we previously developed the distinct technology for engineering college students particularly. Based on convergence methodology, we utilize the open-source electronic prototyping platform named Arduino enabling users to create interactive electronic objects and the automata that is generally referred to a wooden moving, mechanical device or art of work in order to develop the creative convergence education program. We have confidence that our education program can lead the development of automata and information technology simultaneously and can nurture talented students who have creativity and originality in engineering college.

• International Journal of Computer Science & Network Security
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• v.21 no.4
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• pp.209-213
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• 2021

Data mining is the application of specific algorithms for extracting patterns from data and KDD is the automated or convenient extraction of patterns representing knowledge implicitly stored or captured in large databases, data warehouses, the Web, other massive information repositories or data streams. Data mining can be used for decision making in educational system. But educational institution does not use any knowledge discovery process approach on these data; this knowledge can be used to increase the quality of education. The problem was happening in the educational management system, but to make education system more flexible and discover knowledge from it huge data, we will use data mining techniques to solve problem.

• Journal of The Korean Association of Information Education
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• v.8 no.3
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• pp.335-349
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• 2004

Recently, there is change the environment of education due to development of Science Technology Specially, As education information on web increased by internet, using education web data by mean of medium that aids learning by computer. Also It studied method that used the Computer as learning medium through the CAI(Computer Assisted Instruction), ICAI(Intelligent CAI), and ITS(Intelligent Tutoring System). But legacy system are not support efficient method that learns to vary learner suitable learning method by individual level. Specially It is not suitable the education course to direct current course of education, and not consider different of student capability, aptitude, need, interesting, not maximized the individual growable power and effect of education. To solve the this problem, our paper suggest the web-based self-directed MITS(Multimedia ITS) that supply the needed the information on web, make the environment that can self-directed learning. To maximized effect of individual learning, our paper structured coursed, characterized, related learning contents in region of numeral at mathematics of primary school. And then integrated contents and class, design and implement the web-based MITS that consist of 4 module to escape from limitation of learner grade, learning time, learning place.

• Journal of Engineering Education Research
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• v.12 no.3
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• pp.50-58
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• 2009

A survey was conducted and analyzed for strengthening the employment competitiveness of engineering students. Questionnaires were conducted to students and graduates majoring in mechanical, civil engineering and computer science as well as to small and medium sized industries. It includes the level of satisfaction and requirement to recognize the situation of the students in metropolitan Seoul area. Survey results indicate that for undergraduates and graduates, knowledge of their own majors is most important. However, for industry, the most important factor is the ability of analysis and application, and their personalities. With the results of this survey, it is expected that these discrepancies between industries and students are reduced and the competitiveness of students is strengthened.

• Journal of the Korea Society of Computer and Information
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• v.23 no.2
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• pp.45-51
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• 2018

In this paper, we propose a Designed and Developed home router management system. Through the fourth industrial revolution and development of IoT technology, now people can experience a wide range of IoT related services at their workplace or daily lives. At the industrial site, IoT devices are used to improve productivity such as factory automation, and at home, IoT technology is used to control home appliances from a remote distance. Usually IoT device is integrated and controlled by the router. Home router connects different IoT devices together at home, however when security issues arise, it can invade personal privacy. Even though these threats exist, the perception for home router security is still insufficient. In this paper, we have designed and developed home router management system using DEVS methodology to promote the safe use of home router. Through the DEVS methodology, we have designed the system and developed the mobile application. This management system enables users to set up security options for home router easily.

• Proceedings of the Korean Institute of Information and Commucation Sciences Conference
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• 2008.10a
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• pp.802-805
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• 2008

With the rapid increase of a population, various problems arise from poor education environment and devalued quality of education. Internet cyber School, a new learning system may be one of the best methods to remedy the situation. We conducted a related questionnaire on the high school in PUSAN city for the study of the cyber learning system. Many high school student agreed that Internet cyber education hour should be matched up with the school hour. They must make a use of the cyber school Service to help the students study by themselves. And we also decide that the implemented service will increase the psychological effect spreading to other teaming fields.

• The Journal of Korean Association of Computer Education
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• v.16 no.3
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• pp.61-70
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• 2013

In order to increase students' academic achievement effectively and at the same time to draw active participations from students during the computer lab, we applied the reciprocal peer tutoring education model. We focused on a short-term application of the reciprocal peer tutoring to computer operating system lab education with as little preparation as possible. 61 college students majoring in computer engineering participated in this research; half of them studied in the reciprocal peer tutoring setting, and rest of them did in the normal lab setting. Results show that students who participated in the reciprocal peering tutoring lab have higher academic achievement and better satisfaction on overall education and the class's professor. We hope that our method will be easily used in other universities' computer lab education.