• Journal of Korean Academy of Nursing
• /
• v.6 no.1
• /
• pp.12-22
• /
• 1976

Amongst varieties of clinical nursing role, the administration of medication is often highlighted as of prime importance. In order to attain data for the improvement of teaching strategies of medication, diagnostic evaluation of the knowledge level is a necessity. This study was performed from August through December 1975. 449 registered nurses, randomly sampled from general hospitals:16 of Seoul and 7 of Taegu and Pusan, were tested through 54 test questionaries based on 4 practical dimensions of administration of medication. Results are as follows ; 1. Status of respondents: Length of clinical experiences; the average length revealed to be 2 years and 7 months, 72% revealed to have had less than 3 years of experience; 38.6%-less than 1 year, 19 .2%-over 1 year and less than 2 years, and 14, 2%-over 2 years and less than 3 years. Type of Nursing education received ; 9.4% revealed to have graduated technical high school of nursing, 67.5o/o the 3 year diploma school and 21, 7% the baccalaureate degree program. The knowledge Level; Degree of self-satisfaction on knowledge level revealed that;27, 4% responded to "more or less satisfied", 48.8% "more or less un-satisfied" and 19.8% to "not satisfied". The average level of basic knowledge revealed to be moderate by 66.95 points. The level of knowledge of 4 questionnaire categories revealed that; drug action category by average of 66.5 points, methodology category by 65.4 Points, safety measure category by 71.4 points and terminology and concepts category by 64.6 points, Questionnaire items which revealed high points are of;6 of drug action category, 4 of methodology, 4 of safety measure, and 3 of terminology. The items of low points are: 8 of drug action, 3 of methodology, 3 of safety measure and 5 of terminolology categories. 3. The type of nursing education revealed to have no significant influence on the level of knowledge on the administration of medication. 4. The length of clinical experience revealed to have no significant influence on the level of knowledge. 5. 75. l% responded that the actual practice of medication modes are "similar" to that included in the fundamentals of nursing course. 6. In-service education on medication; 54.0% revealed to have some incidental in-service education on medication while 34.0% receive programmed in- service education. 61.8% revealed to have expressed the need of systemic In-service education as one of the means for improvement of medication. 32.7% revealed to obtain information concerning medicine by reading commercial publications on drug package, while only 20.9% by reading specific information channel.

• Proceedings of the Korea Information Processing Society Conference
• /
• 2002.04a
• /
• pp.515-518
• /
• 2002

본 논문에서는 Roget 시소러스의 범주를 재편성하여 문장추상화에 사용할 온톨로지를 추측하였다. Roget 시소러스의 표제정보와 참조정보를 이용해서 범주를 재편성한 각 결과를 토대로, OfN(Ontology for Narratives)을 구성하였다. 이렇게 하여 얻어진 OfN을 설화 문장추상화에 적용하여 이 온톨로지가 유의함을 확인하였다.

• Fashion & Textile Research Journal
• /
• v.17 no.5
• /
• pp.731-740
• /
• 2015

Mobile (smartphone) search engine marketing is increasingly important. Accordingly, the development of visual apparel search technology to obtain easier and faster access to visual information in the apparel field is urgently needed. This study helps establish a proper classifying system for an apparel search after an analysis of search techniques for apparel search applications and existing domestic and overseas apparel sites. An annotation technique is developed in accordance with visual attributes and apparel categories based on collected data obtained by web crawling and apparel images collecting. The categorical composition of apparel is divided into wearing, image and style. The web evaluation site traces the correlations of the apparel category and apparel factors as dependent upon visual attributes. An appraisal team of 10 individuals evaluated 2860 pieces of merchandise images. Data analysis consisted of correlations between apparel, sleeve length and apparel category (based on an average analysis), and correlation between fastener and apparel category (based on an average analysis). The study results can be considered as an epoch-making mobile apparel search system that can contribute to enhancing consumer convenience since it enables an effective search of type, price, distributor, and apparel image by a mobile photographing of the wearing state.

• The Research Journal of the Costume Culture
• /
• v.28 no.3
• /
• pp.389-407
• /
• 2020

With YouTube's overwhelming share of the market, research on analyzing the types of content on YouTube is essential. An analysis of major global fashion YouTubers that the types of video content could be largely classified into three main categories: Fashion, beauty and daily life. The fashion category was subdivided into styling and fashion product review content type. The beauty category was subdivided into tutorials, beauty product reviews, and beauty tip content types. The daily life category was subdivided into daily sharing, consultation, and Q & A content types. Video content within fashion YouTuber channels is accompanied by expertise in fashion and beauty. At the same time, videos on daily life are uploaded, and through interactive communication with viewers, YouTubers form an intimate bond with subscribers. Content emphasizing entertainment, not just information delivery that introduces fashion products, is attracting growing interest among subscribers. This study analyzed the content of the increasingly popular fashion YouTuber channels and determined its important characteristics. The study makes a significant contribution to academic research by laying a foundation for future studies of YouTube content in the fashion field. Since differences in country of birth and race among YouTubers may influence content production, follow-up research will be conducted on the types and characteristics of domestic fashion YouTubers.

• The Korean Journal of Health Service Management
• /
• v.7 no.4
• /
• pp.1-12
• /
• 2013

This study is to analyze the personality trait and dental fear of high school students. This study is conducted with a total of 603 first grader at high school in DaeGu city from 1st September to 30th October, 2009. In prevention and dental treatment knowledge category, the average score of female are higher than male. The concern of oral health, the experience of oral health education and the number of toothbrush are significantly different in the knowledge category. In dental fear category, the number of dental pain, the visiting is treatment, the recognize of dental state, the number of toothbrush and the change of dental visiting date are significantly different. In the prevention knowledge according to dental fear state, low fear group 7.03 is higher than high fear group. In the dental treatment knowledge according to dental fear state, high fear group 7.15 is higher than low fear group. In personal temperament, there are not significantly relationship between prevention knowledge, dental treatment knowledge and dental fear. These findings are basis to development of education programs which were included prevention and dental treatment knowledge before visiting dental clinics for reducing dental fear.

• Journal of Information Technology Applications and Management
• /
• v.28 no.1
• /
• pp.13-31
• /
• 2021

The purpose of this study is to find the factors that influence big data characteristics on decision satisfaction and utilization behavior, analyze the extent of their influence, and derive differences from existing studies. To summarize the results of this study, First, the study found that among the three categories that classify the characteristics of big data, qualitative attributes such as representation, purpose, interpretability, and innovation in the value innovation category greatly enhance decision confidence and decision effectiveness of decision makers who make decisions using big data. Second, the study found that, among the three categories that classify the characteristics of big data, the individuality properties belonging to the social impact category improve decision confidence and decision effectiveness of decision makers who use big data to make decisions. However, collectivity and bias characteristics have been shown to increase decision confidence, but not the effectiveness of decision making. Third, the study found that among the three categories that classify the characteristics of big data, the attributes of inclusiveness, realism, etc. in the integrity category greatly improve decision confidence and decision effectiveness of decision makers who make decisions using big data. Fourth, it was analyzed that using big data in organizational decision making has a positive impact on the behavior of big data users when the decision-making confidence and finally, decision-making effect of decision-makers increases.

• Journal of the Korean Society of Clothing and Textiles
• /
• v.47 no.1
• /
• pp.35-51
• /
• 2023

This study used text mining to extract 2,842 keywords from 7,397 product names and organized them into categories in order to analyze the characteristics of keywords appearing in the product names of jeans after 2020. The item category included denim and Chungbaji [청바지], and Ilja [일자], while the silhouette category included wide and bootcut. In addition, high-waist and banding comprised the making sector, and the materials category consisted of napping, spandex, and soft blue. Denim surpassed the others in frequency, co-occurrence frequency, and centrality, and co-appeared with various other keywords. Also, the co-appearance of item and silhouette was prominent, and there were many keyword combinations that showed characteristics related to (a) high waist; (b) hemline detail; (c) rubber band; and (d) partial tearing. Furthermore, idiom expressions such as 'slim fit' and 'back tearing', which were not highlighted in the co-occurrence frequency, were additionally confirmed through correlation. Therefore, the product name analysis effectively identified the detailed characteristics of the silhouette and the making of jeans preferred by consumers.

• Journal of the Korean Society of Clothing and Textiles
• /
• v.48 no.4
• /
• pp.729-743
• /
• 2024

This research explores consumer preferences for materials in different clothing product categories, using web-crawling and text mining techniques. Specifically, the study focuses on the material-related terms found in consumer reviews across three distinct product categories: functional clothing, formal shirts, and knit sweaters. Top-selling products within each category were identified on the Naver Shopping website based on the volume of reviews, and the four most-reviewed products were selected. Six hundred reviews per product were analyzed using the Textom big-data analysis software to determine the frequency of material-related mentions and word associations. The analysis utilized two comparative metrics: product category and usage duration. Our findings reveal notable variations in the material preferences mentioned by consumers across different product categories. The study suggests a need to re-evaluate existing standardized review criteria to better reflect consumer interests specific to each product category. Additionally, an increase in material-related terms in reviews over one month indicates the potential importance of extending the duration of product reviews to enhance the accuracy of information that reflects longer-term consumer experiences with material quality.

• Journal of the Korean BIBLIA Society for library and Information Science
• /
• v.21 no.3
• /
• pp.151-163
• /
• 2010

It is necessary, due to changes in the information environment, to investigate problems in existing information retrieval systems. Ontologies and social tagging, which are a relatively new means of information organization, enable exploratory discovery of information. These two connect a thought of a user with the thoughts of numerous other people on the Internet. With these connection chains through the interactions, users are foraging information actively and exploratively. Thus, the purpose of this study is, through qualitative research methods, to identify numerous discovery facilitators provided by ontologies and social tagging, and to create an exploratory discovery model based on them. The results show that there are three uppermost categories in which 5, 4 and 4 subcategories are enumerated respectively. The first category, 'Browsing and Monitoring,' has 5 sub categories: Noticing the Needs, Being Aware, Perceiving, Stopping, and Examining a Resource. The second category, Actively Participating, has 4 categories: Constructing Meaning, Social Bookmarking and Tagging, Sharing on Social Networking, Specifying the Original Needs. The third category, Actively Extends Thinking, also has 4 categories: Social Learning, Emerging Fortuitous Discovery, Creative Thinking, Enhancing Problem Solving Abilities. This model could contribute to the design of information systems, which enhance the ability of exploratory discovery.

• Journal of Korean Society for Geospatial Information Science
• /
• v.22 no.4
• /
• pp.21-30
• /
• 2014

Lately, new influentials have secured a large number of volunteers on social networks due to vitalization of various social media. There has been considerable research on these influential people in social networks but the research has limitations on location information of Location Based Social Network Service(LBSNS). Therefore, the purpose of this study is to propose a spatial detection methodology and application plan for influentials who make comments about diverse social and cultural issues in LBSNS using spatial statistical analysis methods. Twitter was used to collect analysis object data and 168,040 Twitter messages were collected in Seoul over a month-long period. In addition, 'politics,' 'economy,' and 'IT' were set as categories and hot issue keywords as given categories. Therefore, it was possible to come up with an exposure index for searching influentials in respect to hot issue keywords, and exposure index by administrative units of Seoul was calculated through a spatial joint operation. Moreover, an influential index that considers the spatial dependence of the exposure index was drawn to extract information on the influential areas at the top 5% of the influential index and analyze the spatial distribution characteristics and spatial correlation. The experimental results demonstrated that spatial correlation coefficient was relatively high at more than 0.3 in same categories, and correlation coefficient between politics category and economy category was also more than 0.3. On the other hand, correlation coefficient between politics category and IT category was very low at 0.18, and between economy category and IT category was also very weak at 0.15. This study has a significance for materialization of influentials from spatial information perspective, and can be usefully utilized in the field of gCRM in the future.