• Journal of the Korean Society of Clothing and Textiles
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• v.14 no.4 s.36
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• pp.252-261
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• 1990

This study intends to provide a beneficial foundation which can aid our understanding of how a clothing consumer group can be classified according to the clothing buying motives, and what differences are there about the importances of stroe image attribute among them and how consumer's preferences to the store image are shown differently among them and ultimately, some concrete data which can be useful in establishing efficient store image strategies for clothing stores. 413 subjects were gathered through convenience sampling method and, for data analysis, cronbach'$\alpha$, frequency, percentage, mean, $x^{2}-text$, 1-test, ANOVA, Duncan Multiple Range Test, Factor Analysis, Cluster Analysis were conducted. The results are as follows; 1. Three kind of factors in the clothing buying motives were determined for analysis of consumers group and by which it was revealed as to be significant for us to classify them four subdivisions; those of fashion pursuit group, self display group, financial utilitarian group, individual group. 2. Importance on store image attribute was revealed then the middle aged women regarded quality, price, service in order as more important factors than others. 3. Store image preferences show significantly when concerned with quality, price, fashion, impression and age of store personnel, convenience for exchanging and returning goods, credit, delivery and repair, mailing of catalogue and discount coupon, exit from, brightness of store among consumer groups. From these findings, concretely store image strategies are proposed.

• Health Policy and Management
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• v.12 no.4
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• pp.56-67
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• 2002

The objectives of this study were to look into the present conditions and problems of smoking prevention programs for young people carried out by the Korean health insurance corporation(KHIC) and to provide the basic data for the governmental policy. In order to examine the actual achievements of existing smoking cessation programs, a survey was conducted over 235 KHIC branches. The person responsible for the cessation program from each branch responded to questionnaire sent by mail with regard to smoking cessation programs The survey shows the shortage of responsible persons. educational subjects were mainly elementary, middle school and high school students. The main educational method was to watch the video of which the content is the knowledge of smoking. but most of these videos were made for adults. Therefore, these videos are not appropriate for the children. 37% of these branches estimated the effectiveness of their program. On the basis of the survey data and analysis of current situations, the following actions are recommended in order to develop a more effective cessation program; first, the establishment of the effective administrative plan, second, the supplementation of the educator and the responsible person, third, the development of text books and videos which are appropriate for the children.

• Korean Journal of Social Welfare
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• v.58 no.2
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• pp.5-31
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• 2006

Since enforcement of the anti-prostitution law, in spite of systematic setting helping escape prostitution of the women who engage in prostitution that they have had the will lasting prostitution. Therefore, this study aimed to devise intervention plan helping their escape prostitution and return to social by examining individual and structural factor obstructing their escape prostitution The data were collected through the in-depth interview and text. And these were analysed according to coding, constitution of concept, matching, construction of explanation on the phenomenon. The nine women who engaging in prostitution were participated in this study. As a result of the data analysis, 46 concepts and 10 categories were generated. By classification of individual and structural factor, the outcomes of an interpretation were as follows: The cause obstructing Prostitutes' escape prostitution were (1) distrust on the policy of the government, (2) life-script was made by reaction-formation, (3) predestined resignation caused by anxiety, (4) body as capital goods, and (5) the commensal model with pimp. Based on this result, we proposed practical and political alternative plans for prostitutes.

• The Journal of the Convergence on Culture Technology
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• v.6 no.2
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• pp.449-454
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• 2020

This paper proposes a machine learning-based emotion analysis system that detects a user's depression through their SNS posts. We first made a list of keywords related to depression in Korean, then used these to create a training data by crawling Twitter data - 1,297 positive and 1,032 negative tweets in total. Lastly, to identify the best machine learning model for text-based depression detection purposes, we compared RNN, LSTM, and GRU in terms of performance. Our experiment results verified that the GRU model had the accuracy of 92.2%, which is 2~4% higher than other models. We expect that the finding of this paper can be used to prevent depression by analyzing the users' SNS posts.

• Journal of the Korean Data and Information Science Society
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• v.27 no.4
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• pp.845-854
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• 2016

Sentiment analysis or opinion mining is a technique of text mining employed to identify subjective information or opinions of an individual from documents in blogs, reviews, articles, or social networks. In the literature, only a problem of binary classification of ratings based on review texts in an online review. However, because there can be positive or negative reviews as well as neutral reviews, a multi-class classification will be more appropriate than the binary classification. To this end, we consider the multi-class classification of ratings based on review texts. In the preprocessing stage, we extract words related with ratings using chi-square statistic. Then the extracted words are used as input variables to multi-class classifiers such as support vector machines and proportional odds model to compare their predictive performances.

• Geotechnical Engineering
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• v.14 no.1
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• pp.71-80
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• 1998

Three prestressed concrete(PC) piles were installed for research purpose at Seosan area of west sea of Korea, and also cone penetration tests (CPT) were performed near two pile locations in order to compute PC pile shaft resistance by using CPT data measured. Three common CPT prediction methods that ia, Schmertmann method, Tumay Sl Fakroo method and LCPC method in France were used to predict pile shaft resistance. The pile shaft resistance predicted by each method was compared with that obtained by full-scale loading test and pile driving analyzer to estimate reliability of each prediction method. The predicted resistances based on three CPT-based methods underestimated significantly the resistances obtained from by fullrcale loading test, performed at 25 days and 42 days text pile installtion. There were, however, good agreements of predicted shaft resistance of piles between three CPT-based methods and pile driving analyzer tested two weeks after pile installtion.

• Journal of the Korea Institute of Information and Communication Engineering
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• v.20 no.10
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• pp.1912-1918
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• 2016

MPTCP(Multipath Transmission Control Protocol) is able to compose many TCP paths when two hosts connect and the data is able to be transported through these paths simultaneously. When a new path is added, the authentication between both hosts is necessary to check the validity of host. So, MPTCP exchanges a key when initiating an connection and makes a token by using this key for authentication. However the original MPTCP is vulnerable to MITM(Man In The Middle) attacks because the key is transported in clear text. Therefore, we applied a ECDH(Elliptic Curve Diffie-Hellman) key exchange algorithm to original MPTCP and replaced the original key to the ECDH public key. And, by generating the secret key after the public key exchanges, only two hosts is able to make the token using the secret key to add new subflow. Also, we designed and implemented a method supporting encryption and decryption of data using a shared secret key to apply confidentiality to original MPTCP.

• The KIPS Transactions:PartB
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• v.16B no.6
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• pp.479-488
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• 2009

This paper shows a reinforced construction scheme of training data for improvement of text classification by automatic search of boundary category. The documents laid on boundary area are usually misclassified as they are including multiple topics and features. which is the main factor that we focus on. In this paper, we propose an automated exploring methodology of optimal boundary category based on previous research. We consider the boundary area among target categories to new category to be required training, which are then added to the target category sementically. In experiments, we applied our method to complex documents by intentionally making errors in training process. The experimental results show that our system has high accuracy and reliability in noisy environment.

• Journal of Digital Contents Society
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• v.18 no.8
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• pp.1661-1669
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• 2017

In 2017, Korea has reached 1.3 million elderly people living alone. The government is promoting the basic care service for the elderly by using care workers to check the security of the elderly living alone. However, due to lack of service personnel and service usage rate of elderly care workers, it is difficult to manage. To improve these environmental constraints, this study attempted to construct a monitoring system for elderly people living alone by using sensors such as temperature, humidity, motion detection, and gas leak detection. The sensor periodically collects the current status data of the elderly and sends them to the server, creates a real time graph based on the data, and monitors it through the web. In the monitoring process, when the sensor is out of the range of the specified value, it sends a warning text message to the guardian to inform the current situation, and is designed and implemented so as to support the safety life of the elderly living alone.

• Journal of Digital Convergence
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• v.18 no.7
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• pp.101-110
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• 2020

Devices that add emotion-specific services or various functions are appearing in AI speakers and related devices. To this end, this study performed topic modeling analysis on the topics of post-purchase texts written by AI speaker users, and compared them with the data collected via survey questionnaires. Furthermore, data on the emotional intelligence of AI speakers and relationship quality were collected from 600 users and analyzed using structural equation modeling. The findings of the study are as follows: First, the analysis results of topic modeling showed that most of the articles mainly mention the functional aspects of AI speakers. Second, emotional intelligence of AI speaker perceived by consumer affected relationship quality, and relationship quality had a positive effect on customer satisfaction. Therefore, this study expands the area of AI research by integrating the concept of emotional intelligence and relationship quality to provide new theoretical and practical implications.