• Journal of the Korea Academia-Industrial cooperation Society
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• v.20 no.3
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• pp.65-70
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• 2019

The purpose of this study is to understand the college students' needs for software curriculum which based on surveys from educational satisfaction of the software lecture evaluation, as well as to find out the improvement plan by applying the text content analysis method. The research method used the text content analysis program to calculate the frequency of words occurrence, key words selection, co-occurrence frequency of key words, and analyzed the text center and network analysis by using the network analysis program. As a result of this research, the decent points of the software education network are mentioned with 'lecturer' is the most frequently occurrence after then with 'kindness', 'student', 'explanation', 'coding'. The network analysis of the shortage points has been the most mention of 'lecture', 'wish to', 'student', 'lecturer', 'assignment', 'coding', 'difficult', and 'announcement' which are mentioned together. The comprehensive network analysis of both good and shortage points has compared among key words, we can figure out difference among the key words: for example, 'group activity or task', 'assignment', 'difficulty on level of lecture', and 'thinking about lecturer'. Also, from this difference, we can provide that the lack of proper role of individual staff at group activities, difficult and excessive tasks, awareness of the difficulty and necessity of software education, lack of instructor's teaching method and feedback. Therefore, it is necessary to examine not only how the grouping of software education (activities) and giving assignments (or tasks), but also how carried out group activities and tasks and monitored about the contents of lectures, teaching methods, the ratio of practice and design thinking.

• The Research Journal of the Costume Culture
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• v.3 no.2
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• pp.201-214
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• 1995

The purpose of this study was to identify the key features of Sokol(蘇骨) and Kolso(骨蘇) and to determined the relation between sokol and kolso. A Comparative linguistical method was used for the analysis of this resarch. Also, sokol(蘇骨) and julpoong(折風) were examined to determine the relationship between the sokol and the julpoong. Results of this study indicated that the sokol and the kolso were identical head covering used by the nobility of Koguryo. The characteristics features of the sokol and kolso were that these tow head coverings wee made of purple ra(羅) and were decorated with gold and silver. The investigation found that the sokol and the kolso were not of Koguryo's native words. These words were derived from this neighboring words. The sokol and kolso were transliterations of neighboring words. The sokol and julpoong were different head coverings: The sokol was for the nobility while the julpoong was for a man of lowly position.

• KIPS Transactions on Software and Data Engineering
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• v.4 no.5
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• pp.225-230
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• 2015

In this paper, we propose an effective real-time visual loop closure detector, VILODE, which makes use of key frames and bag of visual words (BoW) based on SURF feature points. In order to determine whether the camera has re-visited one of the previously visited places, a loop closure detector has to compare an incoming new image with all previous images collected at every visited place. As the camera passes through new places or locations, the amount of images to be compared continues growing. For this reason, it is difficult for a visual loop closure detector to meet both real-time constraint and high detection accuracy. To address the problem, the proposed system adopts an effective key frame selection strategy which selects and compares only distinct meaningful ones from continuously incoming images during navigation, and so it can reduce greatly image comparisons for loop detection. Moreover, in order to improve detection accuracy and efficiency, the system represents each key frame image as a bag of visual words, and maintains indexes for them using DBoW database system. The experiments with TUM benchmark datasets demonstrates high performance of the proposed visual loop closure detector.

• The Korean Journal of Emergency Medical Services
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• v.13 no.2
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• pp.61-72
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• 2009

Purpose : This study aimed to analyze the posttraumatic stress research trends in Korean and foreign firefighters. Method : Total 63 published international articles were searched by Pub Med internet site and total 17 published Korean articles were searched by Korean Medical Database internet site using 'PTSD in firefighters'. These articles were analyzed by published time, domains of journal, research designs, key words and research subjects. Result : 1) By the published time, there were 29 disaster-related researches(46.0%) and 34 job-related researches(54.0%) among 63 international articles. However, there were 16 disaster-related researches(94.1%) and 1 job-related research (5.9%) of Korean 17 articles. 2) By the international research domain, 9 researches(14.3%) were published in The Journal of Nervous and Mental Disease. Among domestic research domain, there were 9 researches(52.9%) consisting of 6 master's degrees and 3 doctor degrees. In major analysis of Korean domain, the highest portion is 4 psychology researches. (23.5%) 3) In the term of the international research design, quantitative research methods were highly used in both 23 disaster-related researches (36.5%) and 30 job-related researches(47.5%). In domestic research, quantitative research methods were mostly used in 14 job-related researches(82.3%) and Q methodology was only used in 1 disaster-related research(5.9%). 4) Looking on the research content trends according to the key words, 9 researches (31.0%) done on posttraumatic stress and coping had the most research and was followed up by posttraumatic stress symptom. Among these researches, key words for PTSD(Posttraumatic Stress Disorder) and PTS(Posttraumatic Stress) were mostly used. Moreover, there was 1 domestic study done on verifying the trends of Posttraumatic Stress in disaster-related research with PTS as the key word. In job-related research, the relationship between the Posttraumatic Stress and other factors had the most with ten studies (62.5%). Among these researches, key words for 5 PTSD(31.3%) were mostly used. 5) According to the international research subjects, the Posttrau consist the most subjects with 16 cases each for disaster and job related stress ; however, domestic research had 16 studies(94.1%) only using firefighters and 1 (5.9%) with their families as subjects. Conclusion : Although the studies of Posttraumatic Stress on Korean firefighters had started later than those on Foreign firefighters, first used for crucial topics show research development in various fields of study and should be tested for studies like those done in abroad regarding multiple topics and methods.

• Journal of the Korean Society of Earth Science Education
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• v.8 no.3
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• pp.297-308
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• 2015

The purpose of this study was to suggest the earth science lesson model based on the creativity character education. To conduct this study, the curriculum revision in 2009 was analyzed by the causal mapping method. One after another, the creativity character education and earth system education were analyzed by the same method. Through as mentioned above, the key words which have relating concepts each other were picked out. Lastly, the key words were connected and compounded for the earth science lesson model based on the creativity character education. The model indicates that the earth science lesson based on the creativity character education requires the reconstructs of the processing and contents of the lesson. In other words, the teaching/learning must be progressed as corresponding between scientific facts and mental recognition, scientific concepts and compounding thinking skill, scientific laws and reconstructing thinking skill. In contents were reconstructed as relating to knowledge, creativity, characters and guidance counseling. The results of this study suggested the earth science lesson model based on the creativity character education needs developing and applying teaching/learning materials and managing discussing and cooperative learning.

• International Journal of Advanced Culture Technology
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• v.8 no.3
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• pp.133-139
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• 2020

The purpose of this study is to contribute to the provision of basic data for psychological quarantine policy and counseling by examining the public perception of the "corona blue" phenomenon through analysis of social media big data. To do this, key words related to the word 'Corona Blue' were derived and analyzed using the big data analysis program 'Textom'. As a result of the analysis, words such as 'Corona 19', 'depression', 'problem' and 'overcome' were derived as key words. For the analysis results,"pride and awarenes as the public perception of Corona 19", "depression and anxiety as a group trauma as the corona blue phenomenon", "spreading a psychological quarantine culture and demanding social healing as the perception of overcoming corona Blue," and "hope for return to daily life and changes in daily life as the perception of post corona" were discussed. In conclusion, we have identified the need for active psychological support from the community By revealing that Corona Blue is a depression as a group trauma. At this time, it is confirmed that it is necessary to prioritize social healing and psychological quarantine for the main risk groups such as youth or the vulnerable, who are the socially weak.

• Journal of Practical Agriculture & Fisheries Research
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• v.20 no.2
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• pp.57-72
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• 2018

In order to extract meaningful information from the excellent farming settlement cases of young farmers published by KNCAF, we studied the key words with text mining and created a word cloud for visualization. First, in the text mining results for the entire sample, the words 'CEO', 'corporate executive', 'think', 'self', 'start', 'mind', and 'effort' are the words with high frequency among the top 50 core words. Their ability to think, judge and push ahead with themselves is a result of showing that they have ability of to be managers or managers. And it is a expression of how they manages to achieve their dream without giving up their dream. The high frequency of words such as "father" and "parent" is due to the high ratio of parents' cooperation and succession. Also 'KNCAF', 'university', 'graduation' and 'study' are the results of their high educational awareness, and 'organic farming' and 'eco-friendly' are the result of the interest in eco-friendly agriculture. In addition, words related to the 6th industry such as 'sales' and 'experience' represent their efforts to revitalize farming and fishing villages. Meanwhile, 'internet', 'blog', 'online', 'SNS', 'ICT', 'composite' and 'smart' were not included in the top 50. However, the fact that these words were extracted without omission shows that young farmers are increasingly interested in the scientificization and high-tech of agriculture and fisheries Next, as a result of grouping the top 50 key words by crop, the words 'facilities' in livestock, vegetables and aquatic crops, the words 'equipment' and 'machine' in food crops were extracted as main words. 'Eco-friendly' and 'organic' appeared in vegetable crops and food crops, and 'organic' appeared in fruit crops. The 'worm' of eco-friendly farming method appeared in the food crops, and the 'certification', which means excellent agricultural and marine products, appeared only in the fishery crops. 'Production', which is related to '6th industry', appeared in all crops, 'processing' and 'distribution' appeared in the fruit crops, and 'experience' appeared in the vegetable crops, food crops and fruit crops. To visualize the extracted words by text mining, we created a word cloud with the entire samples and each crop sample. As a result, we were able to judge the meaning of excellent practices, which are unstructured text, by character size.

• Journal of the Korea Safety Management & Science
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• v.15 no.4
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• pp.289-294
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• 2013

Due to sudden transition to intellectual society corresponding with fast technology progress, companies and nations need to focus on development and guarantee of intellectual property. The possession of intellectual property has been the important factor of competition power. In this paper we developed the efficient patent search process with big data analysis tool R. This patent search process consists of 5 steps. We result that at first this process obtain the core patent search key words and search the target patents through search formula using the combination of above patent search key words.

• Journal of Korean Institute of Industrial Engineers
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• v.38 no.1
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• pp.67-73
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• 2012

Identification of meaningful patterns and trends in large volumes of text data is an important task in various research areas. In the present study we crawled the keywords from the abstracts in IIE Transactions, one of the representative journals in the field of Industrial Engineering from 1969 to 2011. We applied low-dimensional embedding method, clustering analysis, association rule, and social network analysis to find meaningful associative patterns of key words frequently appeared in the paper.

• Journal of Engineering Education Research
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• v.16 no.2
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• pp.37-49
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• 2013

In this paper, articles in full body of JEER in Korea and JEE in U.S. were classified into two categories- Research area and Key words-to endeavor a comparative study of the engineering education research(EER) topics and their temporal changes. In the recent 4 year term, 'Accreditation of Engineering Education' and 'Courses & Curriculum' were the most common key words appearing in JEER and 'Researches on EER' and 'Learner's Factor' in JEE. If we put curriculum/teaching materials/teaching as the input elements and learning/assessment as the output elements for education achievement, JEE demonstrates that many of the research topics have shifted from input to output in the recent years, while JEER research is in the transient stage.