• Journal of the Korea Safety Management & Science
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• v.15 no.4
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• pp.357-363
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• 2013

The purpose of this study was to identity the relationships of sub factor among the brain dominance thinking types(A,B,C,D quadrant thinking type) is based on the Whole Brain Modal and self-leadership by Manz. The subjects were 102 undergraduates students from the Hoseo university in Cheonan. The results of this study as follows ; first, the brain dominance thinking type A was the highest and type C was highly rated. Second, the brain dominance thinking type A was not correlated type C and type D. Third, the brain dominance thinking type C and self-leadership sub factor was significantly positively correlated.

• Journal of Engineering Education Research
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• v.15 no.6
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• pp.98-102
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• 2012

This paper diagnose subjects and measures the learning ability of students based on the goal of developing an assessment tool for education productivity based on multi-aspect evaluation conducted by ICEE at Honam University. Furthermore, develop an assessment tool for education productivity that provides a motive to bring detailed improvements in teaching methods through the diagnosis. In addition, a method for compensating the issues and improving the quality of subject is suggested to develop learning ability of students through applying the assessment tool. An integrated operated system of CQI is desired to be built along with quality improvement of education through measuring academic quality by studying the methods for enhancing academic and learning ability achievement from analysis of the curriculum provided in the "ABEEK program". Through this study the current state of education productivity is presented through analyzing the difference between students who participated in the "ABEEK program" and who did not participate, and operating a comparison between the student's comprehension on their majors and liberal arts by the multi-aspect evaluation that has been conducted for 2 years.

• Journal of Engineering Education Research
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• v.14 no.6
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• pp.48-50
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• 2011

This paper deals with STEM(science, technology, engineering and mathematics) education program scheduled by ICEE (innovation center for engineering education) of Jeonju University and applied to the first-year students of high school in Jeonju. The outline of the program has been expressed, and the response of lecturers and students have been discussed. Students have experienced the various engineering topics with experiments, and had the chance to trigger to think over their majors in the future university.

• Journal of the Korea Society of Computer and Information
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• v.21 no.9
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• pp.149-156
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• 2016

This paper is concerned with education courses operating practices for basic computer literacy training. In this study, we propose an example for students to effectively measure and evaluate the achievement of defined ability in the performance measurement and analysis, learning objectives and learning outcomes set in operation throughout the course. Through research and development use case presents the tools for teaching method and effective and objective measurement of the related subjects. And based on the results, we propose the possibility of utilizing NCS-based course operation and education certification. In this study, the measurement process is based on the association with the objective of the development and operation, and measurement tools, measuring tools for measuring learning outcomes associated with the curriculum design methods for the measurement and evaluation of the case of the operation of the course units of learning outcomes and the method proposed.

• The Journal of the Convergence on Culture Technology
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• v.4 no.2
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• pp.61-67
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• 2018

The purpose of this paper is to explore the educational direction and present improvements of the local college of engineering through the business feasibility and analysis of the universities that conducted financial support projects to improve engineering education. For this study, we analyzed a three-year of survey on the business satisfaction of the university that implemented aid for innovation in engineering education. A result of statistical analysis on the performance of the education programs and operations that performed by the participants in the project shows that the overall satisfaction rate of the support projects has increased from 73.8% to 83.4%, but the average rate of the related industries has relatively decreased. The research shows that the satisfaction level of creativity and problem-solving ability of new employees in task performance was low so that the overall satisfaction level of the business decreased. We are going to come up with improvement plan to develop creative problem solving skills through the design of program for engineering education innovation in the future.

• KSCE Journal of Civil and Environmental Engineering Research
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• v.38 no.4
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• pp.621-625
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• 2018

This paper proposes a method for bridge damage factor recognition from inspection reports using deep learning. Bridge inspection reports contains inspection results including identified damages and causal analysis results. However, collecting such information from inspection reports manually is limited due to their considerable amount. Therefore, this paper proposes a model for recognizing bridge damage factor from inspection reports applying Named Entity Recognition (NER) using deep learning. Named Entity Recognition, Word Embedding, Recurrent Neural Network, one of deep learning methods, were applied to construct the proposed model. Experimental results showed that the proposed model has abilities to 1) recognize damage and damage factor included in a training data, 2) distinguish a specific word as a damage or a damage factor, depending on its context, and 3) recognize new damage words not included in a training data.

• KSCE Journal of Civil and Environmental Engineering Research
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• v.37 no.2
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• pp.419-425
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• 2017

Managing mega construction project is a very challenging task due to its large scale and complexity. To deal with the challenge, progress measurement must be estimated reliably and effectively. Many researchers have presented progress measurement methods, but previous studies are limited to single or several types of facilities. Thus, they have difficulties to being applied to mega construction projects that covers multiple facilities. To overcome the limitations, this paper proposes a progress measurement framework considering characteristics of mega construction projects. The framework consists of four phases : development of Work Breakdown Structure, determination of weights of main facilities and sub facilities, and calculation of the integrated progress rate. To validate the proposed approach, a case study of Sejong city in Korea was performed. The results of the case study showed the applicability of the proposed framework and confirmed that it enables to reliably measure progress rate of mega construction projects.

• Journal of Engineering Education Research
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• v.14 no.3
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• pp.15-24
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• 2011

The purpose of this study is to develop the 'Engineering Team Mission Project Education Program and Textbook', which is improved creativity and creative problem for Juniors(middle school students) that is in the growth stage to become the leading role in future society. This can be applied the creative experience activities time of revised curriculum in 2009 being implemented to secondary education by 2011. The results of this study are as follows. The formation of Team Mission Project Education Program is the big field 2 project, lower field 8 module and 38 total lessons. This education program has secured the validity of the SME(Subject Matter Expert) expert conference. Actually, by putting the education program and textbook to the invention talent class formed by middle school students and by normally analyzing, it has been analyzed as very satisfying result. Therefore, the "Engineering Team Mission Project Education Program and Textbook" can be provided as a practical education course of new talent training and engineering talent model of the nation's knowledge property education. And it can perform as an education program using usefully in the creative experience activity education course in middle class education stage. Also, it is concluded to become the basis of engineering design education's high grade education and department of engineering's creative engineering.

• KSCE Journal of Civil and Environmental Engineering Research
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• v.38 no.4
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• pp.595-599
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• 2018

Sufficient understanding of oversea construction market status is crucial to get profitability in the international construction project. Plenty of researchers have been considering the news article as a fine data source for figuring out the market condition, since the data includes market information such as political, economic, and social issue. Since the text data exists in unstructured format with huge size, various text-mining techniques were studied to reduce the unnecessary manpower, time, and cost to summarize the data. However, there are some limitations to extract the needed information from the news article because of the existence of various topics in the data. This research is aimed to overcome the problems and contribute to summarization of market status by performing topic modeling with Latent Dirichlet Allocation. With assuming that 10 topics existed in the corpus, the topics included projects for user convenience (topic-2), private supports to solve poverty problems in Africa (topic-4), and so on. By grouping the topics in the news articles, the results could improve extracting useful information and summarizing the market status.

• Journal of Korean Society for Geospatial Information Science
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• v.24 no.1
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• pp.89-98
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• 2016

In this paper, we proposed an automated areal feature matching method based on geometric similarity without user intervention and is applied into areal features of many-to-many relation, for confusion of spatial data-sets of different scale and updating cycle. Firstly, areal feature(node) that a value of inclusion function is more than 0.4 was connected as an edge in adjacency matrix and candidate corresponding areal features included many-to-many relation was identified by multiplication of adjacency matrix. For geometrical matching, these multiple candidates corresponding areal features were transformed into an aggregated polygon as a convex hull generated by a curve-fitting algorithm. Secondly, we defined matching criteria to measure geometrical quality, and these criteria were changed into normalized values, similarity, by similarity function. Next, shape similarity is defined as a weighted linear combination of these similarities and weights which are calculated by Criteria Importance Through Intercriteria Correlation(CRITIC) method. Finally, in training data, we identified Equal Error Rate(EER) which is trade-off value in a plot of precision versus recall for all threshold values(PR curve) as a threshold and decided if these candidate pairs are corresponding pairs or not. To the result of applying the proposed method in a digital topographic map and a base map of address system(KAIS), we confirmed that some many-to-many areal features were mis-detected in visual evaluation and precision, recall and F-Measure was highly 0.951, 0.906, 0.928, respectively in statistical evaluation. These means that accuracy of the automated matching between different spatial data-sets by the proposed method is highly. However, we should do a research on an inclusion function and a detail matching criterion to exactly quantify many-to-many areal features in future.