• Journal of Society of Preventive Korean Medicine
• /
• v.20 no.1
• /
• pp.111-124
• /
• 2016

Objectives : Treatment method using drugs has already been used in Korean medicine for a long time. Moreover, database has been developed and utilized for more efficient management of the treatments that use drugs. Most of such database related to knowledge on drugs is composed of origin, efficacy, temperament, ingredients and examples of application of the standardized drugs. Communication with knowledge information in other specialized areas is also accomplished by using the efficacies and ingredients with the drugs. In this study, we aimed to make data structure of the terminologies that represent the manufacturing process of herbs. However, in spite of the fact that the manufacturing process of the drugs imparts effect on their efficacies and ingredients, details of the manufacturing processes are quite limited to simple text sentences, thereby resulting in substantially lower level of utilization and difficulties in systematic researches on various factors included in the manufacturing processes in comparison to other knowledge on drugs. Methods : This Study extracted the factors necessary in the development of database by executing morphological analysis of the manufacturing process of herbs. Results : The factors are 'Order', 'Act', 'Raw material', 'Tools', 'Supporting materials', 'Intensity', 'Duration Time', 'Interval', 'Focus', 'Repetition Number', 'Untill'. We were able to tell the difference of the manufacturing process with a simple structured query language and the factors. Conclusions : Morphological analysis of medicinal herbs manufacturing Process contributes to standardization with information of the manufacturing process. And it helps to creates a quality management system through the Database.

• Journal of the Korean Society of Earth Science Education
• /
• v.7 no.1
• /
• pp.1-10
• /
• 2014

The purpose of this study is to introduce the science-play in the regular class, stimulate the student's curiosity, motivate them and take active part in their science class. To make an effective science class, we developed the science-play activity instead of experiments in the text, and applied it to the class. The experimental group has statistically meaningful results in the science process skills, expecially in subordinate elements such as observation, deduction, expectation, data analysis and assumption establishments(p<.01). However, the comparative group has no meaningful results in the science process skills. Though the average value of the science related attitude in the experimental group had only a little increase and had no statistically meaningful results, that in the comparative group has decreased during the same period. As for the experimental group, the science-play activities were repeated and their science related attitude has increased a little. Even though there were no meaningful statistic results(p>.05), the science-play activity was effective in the science related attitude. As a result of this research, it could be said that the science-play activity can improve the student's science process skills and the science related attitude, and the science-play program should be further developed and applied to make easy and effective science classes.

• Journal of IKEEE
• /
• v.8 no.2 s.15
• /
• pp.186-194
• /
• 2004

Due to the exponential growth of information on the internet, it is getting difficult to find and organize relevant informations. To reduce heavy overload of accesses to information, automatic text classification for handling enormous documents is necessary. In this paper, we describe structure and implementation of a document classification system for web documents. We utilize SVM for documentation classification model that is constructed based on training set and its representative terms in a directory. In our system, SVM is trained and is used for document classification by using word set that is extracted from information and communication related web documents. In addition, we use vector-space model in order to represent characteristics based on TFiDF and training data consists of positive and negative classes that are represented by using characteristic set with weight. Experiments show the results of categorization and the correlation of vector length.

• The Research Journal of the Costume Culture
• /
• v.28 no.2
• /
• pp.265-284
• /
• 2020

This study aimed to analyze the performance of Disney-collaborated fashion lines based on online consumer reviews. To do so, the researchers employed text mining and network analysis to identify key words in the reviews of these products. Blogs, internet cafes, and web documents provided by Naver, Daum, and YoutTube were selected as subjects for the analysis. The analysis period was limited to one year after for the 2019. Data collection and analysis were conducted using Python 3.7, Textom, and NodeXL. The research terms in question were as follows: 'Disney fashion collaboration' and 'Frozen fashion collaboration'. Preliminary survey results indicated that 'Elsa's dress' was the most frequently mentioned term and that the domestic fashion brand Eland Retail was the most active in selling Disney branded clothing through its own brand. The writers of reviews for Disney-collaborated fashion products were primarily mothers with daughters. Their decision to purchase these products was based upon the following factors; price, size, stability of decoration, shipping, laundry, and retailer. The motives for purchasing the product were the positive response of the consumer's child and the satisfaction of the parents due to the child's response. The problems to be solved included insufficient quantity of supply, delay in delivery, expensive price considering the number of times children's clothes are worn, poor glitter decoration, faded color, contamination from laundry, and undesirable smells immediately after the purchase.

• Journal of the Korea Society of Computer and Information
• /
• v.25 no.3
• /
• pp.207-218
• /
• 2020

Recently, due to the increase of online reviews and the development of analysis technology, the interest and demand for online review analysis continues to increase. However, previous studies have not considered the emotions contained in each vocabulary may differ from one reviewer to another. Therefore, this study first classifies the customer group according to the customer's grade, and presents the result of analyzing the difference by performing review analysis for each customer group. We found that the price factor had a significant influence on the evaluation of products for customers with high ratings. On the contrary, in the case of low-grade customers, the degree of correspondence between the contents introduced in the mall and the actual product significantly influenced the evaluation of the product. We expect that the proposed methodology can be effectively used to establish differentiated marketing strategies by identifying factors that affect product evaluation by customer group.

• Archives of Craniofacial Surgery
• /
• v.16 no.3
• /
• pp.114-118
• /
• 2015

Background: The reduction of orbital blowout fracture primarily aims to normalize the extra-ocular movement by returning the herniated orbital soft tissue into the original position, and to prevent enophthalmos by normalizing the orbital cavity volume. We introduce a balloon catheter-assisted orbital floor reduction technique. Methods: A retrospective review was performed for all patients with orbital floor fracture who underwent the technique described in the main body of this text. Medical records were reviewed for demographic data, clinical presentation and course, degree of enophthalmos, intraorbital volume on computed tomography scan, and postoperative outcomes. The enophthalmos and intraorbital volume of the injured site were compared to the uninjured eye and orbit. Results: The review identified 14 patients (11 male, 3 female). The mean preoperative difference in en-exopthalmos was 2.13 mm, while the mean orbital volume was 116%. The mean postoperative difference in en-exophthalmos had improved to 0.61 mm with a mean orbital volume of 101.85%. At the time of catheter removal at 10 days, three patients experienced diplopia (n=1), extra-ocular movement disorder (1), or enophthalmos (1). All of these had resolved by the 6-month follow-up visit. Conclusion: Balloon catheter-assisted reduction of the orbital floor fractures was associated with improvements in intraorbital volume and enopthalmos in the 14 patients. Notable complications included diplopia, enophthalmos, and limited extra-ocular movement, all of which were transient in the early postoperative period and had resolved by 6-month follow up.

• Archives of design research
• /
• v.13 no.3
• /
• pp.293-302
• /
• 2000

Historical books are records of information using text and images and is one of the valuable cultural heritages of mankind. However, these books wear, tear and are damaged with time, so we are restricted in our usage of them for study or research. There are many libraries and museums around the world researching a method to digitize the historical books to prevent their collection from damage. Digitizing the historical books not only produce digital images but also a valuable high quality digital information. Digitizing process also keeps the original content of the historical books as well as add a value as research material as a bibliographical, artistic and archaeological item. Furthermore, its information would be provided through a network, like internet, to share and to promote more advanced studies. The purpose of this study is to examine the principles and method of digitization of historical books. This study also researches the meaning and problems of digitizing process for more effective usage.

• Journal of the Korea Convergence Society
• /
• v.9 no.4
• /
• pp.31-45
• /
• 2018

Recent dramatical development of computer technology related to internet technology intensifies the dispute over software of computer or smart device. Research on software has been flourished with political issuing of fierce competition among nations for software development. Particularly industrial growth in ethernet based big data and IoT (Internet of Things) has promoted to build and develop open source programs based on java, xcode and C. On these circumstances, issue on software piracy has been confronted despite the basic security policy protecting intellectual property rights of software and thus it is of substantial importance to protect the rights of originality of source program license. However, the other issue on source technology protection of developer is the possibility of hindrance to advancement in industry and culture by developing programs. This study discuss the way of enhancing legal stability of IoT application program development and reinforcing precision in inspection of program plagiarism by analyzing the source programs with newly introducing text mining technique, thus suggests an alternative protective way of infringement of personal information due to duplicating program.

• Journal of the Korean earth science society
• /
• v.31 no.1
• /
• pp.36-50
• /
• 2010

The purpose of this study is to investigate the aspect of variation of the texts in elementary and secondary school science textbooks at each grade level in terms of linguistic features. Data included some of the written texts related to 'Volcano and Earthquake' in Korean elementary and secondary school science textbooks in the seventh National Curriculum. The written texts were comparatively analyzed in terms of textual meaning, interpersonal meaning, and ideational meaning. Results revealed that there were different structures and linguistic features of the texts in school science textbooks depending on the grade level. Therefore, we argue that the differences in this study may make students feel difficult and strange when they read and understand science textbooks. We suggest that science teachers need to play the role of a mediator between students' understanding and the structural features of the scientific language in science learning.

• Journal of Digital Convergence
• /
• v.13 no.12
• /
• pp.161-169
• /
• 2015

Realtime search words of typical portal sites appear every few seconds in descending order by search frequency in order to show issues increasing rapidly in interest. However, the characteristics of realtime search words reordering within too short a time cause problems that they go over the key issues of the day. This paper proposes a method for deriving a key issue through association analysis of realtime search words. The proposed method first makes scores of realtime search words depending on the ranking and the relative interest, and derives the top 10 search words through descriptive statistics for groups. Then, it extracts association rules depending on 'support' and 'confidence', and chooses the key issue based on the results as a graph visualizing them. The results of experiments show that the key issue through association rules is more meaningful than the first realtime search word.