• Journal of Information Science Theory and Practice
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• v.6 no.2
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• pp.46-61
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• 2018

The mobile social networking application Instagram is a well-known platform for sharing photos and videos. Since it is folksonomy-oriented, it provides the possibility for image indexing and knowledge representation through the assignment of hashtags to posted content. The purpose of this study is to analyze how Instagram users tag their pictures regarding different kinds of picture and hashtag categories. For such a content analysis, a distinction is made between Food, Pets, Selfies, Friends, Activity, Art, Fashion, Quotes (captioned photos), Landscape, and Architecture image categories as well as Content-relatedness (ofness, aboutness, and iconology), Emotiveness, Isness, Performativeness, Fakeness, "Insta"-Tags, and Sentences as hashtag categories. Altogether, 14,649 hashtags of 1,000 Instagram images were intellectually analyzed (100 pictures for each image category). Research questions are stated as follows: RQ1: Are there any differences in relative frequencies of hashtags in the picture categories? On average the number of hashtags per picture is 15. Lowest average values received the categories Selfie (average 10.9 tags per picture) and Friends (average 11.7 tags per picture); for highest, the categories Pet (average 18.6 tags), Fashion (average 17.6 tags), and Landscape (average 16.8 tags). RQ2: Given a picture category, what is the distribution of hashtag categories; and given a hashtag category, what is the distribution of picture categories? 60.20% of all hashtags were classified into the category Content-relatedness. Categories Emotiveness (about 4.38%) and Sentences (0.99%) were less often frequent. RQ3: Is there any association between image categories and hashtag categories? A statistically significant association between hashtag categories and image categories on Instagram exists, as a chi-square test of independence shows. This study enables a first broad overview on the tagging behavior of Instagram users and is not limited to a specific hashtag or picture motive, like previous studies.

• Journal of the Korean Association of Geographic Information Studies
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• v.3 no.4
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• pp.33-49
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• 2000

This research demonstrates the application of GIS to the selection of the waste landfill site through the case study of a urban area. The estimation factors for the suitability analysis of the waste landfill site were determined. The database was built through collection, input, and transformation of data. The recent land cover classification data and NDVI data which were obtained through processing of satellite imagery were incorporated into GIS data as estimation factors. The relative weights of importance among 2nd category estimation factors were determined by the pairwise comparison method. Also relative weights of 1st category estimation factors which are divided into the social-economical factor and the natural environmental factor were combined with those of 2nd category estimation factors. As the results of this case study, the suitability analysis was conducted in accordance with various estimation criteria. The highest suitability index was obtained in the case where we considered the relative weights of 2nd category estimation factors as different in the viewpoint which regards the social economical factor as important.

• Journal of Korean Institute of Architectural Sustainable Environment and Building Systems
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• v.12 no.6
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• pp.655-668
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• 2018

This paper analyzes the applicability and technology level of the green building element technology by analyzing the scorecard of the LEED Canada certified buildings. The results of this analysis will be able to evaluate the current status and level of application of green building element technology, and it will be used as a basic data to prepare for the revision of the certification standards and the establishment of strategies for the future green building activation. In this study, 1,010 LEED Canada certified buildings from 2011 to 2016 were analyzed. The results were analyzed by focusing on the status of greening by certification category and the characteristics of adoption by sub-category. The results of the study are summarized as follows. (1) EA category showed the biggest difference between the certification scores and the adoption rates than other categories, and it was confirmed that it is not easy category from the viewpoint of practical adoption. On the other hand, the ID (Innovation & Design Process) and WE were analyzed to be relatively easy to apply, with a score of over 72%. (2) In the case of Platinum class, the upper adoption rate is shown in all categories except MR. The Gold class shows the adoption rate of WE and ID in the top, and the middle rate in most categories. Silver grades showed lower rates in the three categories except WE, ID and EQ. Certified grades showed the adoption rates of the bottom except the two categories.

• Korea Journal of Hospital Management
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• v.6 no.3
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• pp.148-166
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• 2001

The purpose of this study is to classify elderly patient in long-term care facilities using RUG(Resource Utilization Group)-III. It is designed by measuring patient medical characteristics and medical staff time. Elderly patients are classified into 7 categories by clinical(medical and behavioral) hierarchical typology of patients. Through the tertiary split, all 44 groups are formulated. This classification is explained by each patient resource(staff time) utilization level which is called CMI(Case-Mix Index). Major findings are as follows; 1. The objects in this study were classified into 35 groups out of 44 groups. The most frequent category is clinical complex category(CCC; 38.9%). And extensive service category(ESC; 18.8%), reduced physical function category(RPC; 13.1%), special rehabilitation category(SRC; 12.8%), and impaired cognitive category(ICC; 0.00%) are followed. 2. The mean of total CMI was $1.02{\pm}0.36$, ranging from 0.68 to 1.44(1 vs 2.12). The mean of CMI of SRC is only 1.17 which should be the highest. The means of ESC and see are equally 1.20. The means of CMI of CCI, ICC, BPC, and RPC were 0.90, 0.75, 0.83 and 0.96, respectively. 3. The validity of this classification was tested. Trend-test using Regression Analysis was done in the secondary split level. SCC, CCC, ICC, and RPC which covered 68.4% of this research objects showed linear trend of CMI in interim classification. This results were statistically significant. 4. In clinical hierarchy, the trend were showed linearity. But the multiple comparison of categories using Scheffe-test showed that SRC, ESC and see had same level of CMI means and CCC and ICC, too. This results were statistically significant. Classifying elderly patients with RUG-III, the results showed partly linear trend in clinical hierarchy and in interim classification in conclusion. But, in clinical hierarchy, it was failed to show the consistent order of CMI. It can be explained by two reasons. One is that this research subjects were overlapped in each clinical hierarchy group. And the other is that the some of the characteristics for clinical hierarchy is not appropriate for them. For the further study, it needs to have proper sample size and to modify RUG-III to K-RUG to consider our.. medical environment.

• Journal of The Korean Association For Science Education
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• v.38 no.6
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• pp.793-812
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• 2018

This study, from a critical view on knowledge-centered science education, aims to explore the wisdom that can be acquired from science. In other words, to find the categories and examples of "Wisdom of Science(WOS)" that can be shared in science classroom is the purpose of this study. For the data collection, twelve hours of physics classes of three high schools were observed, together with teacher interviews and student interviews. Collected data were analyzed qualitatively based on the operational definition of WOS. In this study, WOS was defined in a limited sense to mean 'wise action such as behaviors, attitudes, methods, and thoughts that can be found in the process of formation and application of scientific knowledge'. The results of this study, i.e. three categories and six examples of WOS, can be summarized as follows. First category of WOS is 'wisdom as a scientific attitude'. The examples of this category are 'rational suspicion and open-minded attitude', and 'effort to find the best way in given situation'. Second category of WOS is 'wisdom as a method for problem solving'. The examples of this category are 'thinking with changing the conditions', and 'communication using the language of science'. Third category of WOS is 'wisdom as a reflection about science and human'. The examples of this category are 'understanding of the relationship between science and society', and 'perceiving the relationship between science and my life'. In conclusion, "Wisdom-oriented Science Education" as an alternative goal of future science education is suggested with its meanings and implications.

• Journal of the Korean Chemical Society
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• v.54 no.3
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• pp.329-337
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• 2010

In this study, we analyzed the end-of-chapter questions in 8 types of chemistry II textbooks for science teachers according to revised Bloom's taxonomy of educational objectives not only to raise interests of questions in textbooks but also acquire a basic material for using questions in textbooks effectively. The results of classification following Bloom's cognitive category showed that 'Understanding(44.7%)' level was the most, then 'Application(29.9%)', Knowledge(15.6%) and 'Analysis (9.5%)' in order, which is distinct difference from the result of classification of the end-of-chapter questions in college general chemistry books which was 'Application', 'Analysis' and 'Understanding' in order. Especially, questions of 'Evaluation' level were not found at all in any textbook investigated and 'Synthesis(0.3%)' level was very few. On the other hand, the percentage of questions in 'Understanding' and 'Executing Quantitative' which required specific algorithms was 70% of total with most of the questions in 'Application' were 'Executing Quantitative'.

• Journal of the Korean Society of Clothing and Textiles
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• v.26 no.3_4
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• pp.402-411
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• 2002

The objective of this study was to investigate sensibility images of Korean traditional motifs cognized by college students in U.S.A. The subjects consisted of 217 male and 351 female undergraduate students. The experimental materials used in this study were 48 stimuli and questionnaires, composed of 7-point semantic differential scales of 15 bipolar adjectives. Twelve motifs selected from 3 groups of Korean motifs were used as motif stimuli. Twelve repeated patterns were constructed from them to be applied on a CAD-simulated dress. The data were analyzed by factor analysis, ANOVA, Duncan's multiple range test. The major finding were as follows: 1. Four dimensions were emerged accounting for the dimensional structure of the images of Korean traditional motifs. These dimensions were ‘quality’, ‘simplicity’, ‘cheerfulnees’, and ‘modernity’. Among them, ‘quality’and ‘simplicity’were the major dimensions. 2. Category, interpretation type, composition type, and application object had significant effects on the images of above-mentioned dimensions. The interpretation type had a significant effect on ‘quality’image, the composition type on ‘cheerful’image, and the application object on ‘modernity’image.

• Journal of Korean Institute of Industrial Engineers
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• v.42 no.1
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• pp.1-19
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• 2016

Recently, the emergence of smartphone foster the technological convergence. This convergence no longer takes place within technologies only. Rather, convergence phenomena happen as a form of embodied services. However, previous research on convergence has been subject to the technology-oriented studies, including suggesting patent-based indexes or analyzing technological characteristics. However, investigating technology-service convergence is critical since most of new smart services are technology-based convergence services. Therefore, we analyze the pattern of technology-service convergence which occurs in the smartphone application services. We divided the smatphone application services into four categories, and employ a network analysis to represent the convergence phenomena of each category. Our study is expected to provide meaningful implication in new service development practice.

• Journal of the Korea Society of Computer and Information
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• v.19 no.3
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• pp.17-24
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• 2014

In this paper, we propose a mobile application categorization method using word cluster information. Because the mobile application description can be shortly written, the proposed method utilizes the word cluster seeds as well as the words in the mobile application description, as categorization features. For the fragmented categories of the mobile applications, the proposed method generates the word clusters by applying the frequency of word occurrence per category to K-means clustering algorithm. Since the mobile application description can include some paragraphs unrelated to the categorization, such as installation specifications, the proposed method uses some word clusters useful for the categorization. Experiments show that the proposed method improves the recall (5.65%) by using the word cluster information.

• The Journal of the Korea Contents Association
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• v.13 no.3
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• pp.32-42
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• 2013

As the smartphone market grows, the needs for its new business model are also increased. However, most previous researches on smartphone applications focused on Technology Acceptance Model(TAM) and Rogers' Diffusion of Innovation Theory so that there was lack of researches on characteristics for actual smartphone users. In this research, we divided the smartphone applications into five category functions (Call & Text/Music & Video/Information Search/Game/Social Network Service (SNS)). We analyzed characteristic differences of users who used the each application category and found that the differences were statistically significant in both demographic and smartphone usage characteristics (frequency of downloading applications, and download experience of paid applications). Additionally, the smartphone usage characteristic is closely related to the usage duration. The representative result is that the characteristics of people used Music & Video function actively were women in their 20s who downloaded applications more than three times per week, and had a download experience of paid applications. It is positive result for players in the application markets, because it means the users are willing to pay for downloading the paid applications. However, large companies already occupied most of the market share in music applications so that small and medium-sized players should develop an innovative and distinguishable business model in order to success. We believe this research result would provide significant implications for the players in planning the successful business model and developing an user-specific application product.