• Child Studies in Asia-Pacific Contexts
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• v.2 no.1
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• pp.29-43
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• 2012

The purpose of the study was to generate the candidate items for the Adolescent Friendship Social Capital Scale. Both inductive and deductive approaches were used to generate the scale items. Halpern's conceptual map of social capital served as the theoretical basis of this scale, and guided the development of items. Semi-structured interviews with adolescents in Sydney, Melbourne and Beijing generated the initial pool of scale items. Twenty-six items were generated for the Adolescent Friendship Social Capital Scale. The items are organised in four theoretical constructs: Bonding Networks, Bridging Norms, Bridging Sanctions, and Linking Networks. Each item is a short statement followed by a five-point Likert scale anchored by 1= "Strongly disagree" and 5= "Strongly agree". The scale has several advantages over previous measures of adolescent friendship networks and friendship social capital. The scale has a strong and clear theoretical structure, the scale items demonstrate initial construct and content validity, and the format of the scale enables the collection of continuous data. However, in order to ensure the validity and reliability of the scale, another two stages of research need to be conducted in the future: scale development and scale evaluation.

• Proceedings of the IEEK Conference
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• 2003.07d
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• pp.1451-1454
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• 2003

본 논문에서는 MPEG-21 에서 정의한 디지털아이템의 파일 포맷의 구조 및 방법을 멀티미디어 파일 포맷으로 제안하였다. 제안한 방법은 디지털아이템을 이진화하는 방법 및 기능, XML로 구성된 디지털아이템 선언(Digital Item Declaration)에서 미디어 리소스를 참조하는 방법 등이다. 제안한 멀티미디어 파일 포맷은 디지털방송, 무선통신, 인터넷 환경에서의 다양한 형태의 컨텐츠들을 효과적이고 체계적으로 조합할 수 있는 기능 및 효과적인 전송 기능을 제공하며, 향후 xml 기반 메타데이터와 미디어리소스를 포함하는 멀티미디어 컨텐츠의 파일 포맷에 대한 참고 모델로서 사용될 수 있다.

• Korean Journal of Community Nutrition
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• v.8 no.2
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• pp.220-230
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• 2003

The purpose of this study was to investigate consumer preferred formats of nutrition labels: the type of nutritional information provided on the labels. A survey was conducted on 222 housewives between the age of 20 and 65 in Daejeon city in 1998, using an interview questionnaire showing illustrated nutritional label formats. Among twelve nutrients and caloric values listed on the nutrition labels, the housewives ranked their interest in the items in the following order of calorie (58.56%), calcium (56.76%), cholesterol (54.05%), protein (39.19%) and vitamin C (36.04%). The majority of the subjects (69.37%) checked labels when they bought milk or dairy products, whereas only 8.11% looked at labels when they bought Ramyon or noodles. Most of the subjects (90.99%) preferred products with labels with nutritional information as compared with products without labels. this was especially so true of the younger individuals and of pc-ople who checked food labels more frequently. The subjects preferred labeling which described the nutrient content per Package (55.41%), sewing size (32.88%) and food weight of 1009 (11.71%) as a standard nit. Generally, they prefer-red a simplified list to a detailed list of the number of nutrients, a figure graph to bar graph in nutrition claim, vertical bar graph to horizontal bar graph showing the nutritional content of foods and a web-type graphic format to a radiation-format when describing the item's percentage of the Korean RDA's nutrient content. The subjects who checked labels frequently especially preferred detailed list, while housewives with job or with unhealthy family members preferred a simplified list and graphic, rather than a numerical display. From this result, it is suggested that providing consumers with more nutrients information in a more easily understood graphic format would encourage the consumers to check nutritional labels. Therefore this should be considered when developing the regulations far nutrition labeling or when educating the Public about nutrition. (Korean J Community Nutrition 8(2) : 220∼230, 2003)

• Journal of the Korean Society for Library and Information Science
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• v.26
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• pp.187-212
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• 1994

The present study examines the characteristics of the international literature of classification systems published in the period 1981-1990. The references in the 'Classification Literature' sections of International Classification and the references in these source items were examined. The present study focused on analyzing each of the following characteristics: format, subject, language, geographical origin, age, authorship and number of references. The findings from the data analyses show clearly that in the literature of classification systems, I) books were the most frequently cited format; 2) library and information science was the most frequently cited subject; 3) English was the major language; 4) the literature of each classification system was written predominently in English except for Library Bibliographic Classification; 5) the language of each source item was the same as that of the greatest number of references of that source item: 6) the U.S., Germany, India, Russia, and the U.K. were the major geographic origin of publication; 7) there was a very close relationship between country of publication and language: 8) the country of origin of the documents was cited more than any other country except for the U.S.: 9) Price's Index of the literature revealed that the literature was a soft science and the half-life of the literature was about 7.5 years; 10) there was a preponderance of single authorships; 11) the literature was not a scholarly or scientific literature, according to the average number of references in source items and the percentage of unreferenced items. The findings of this reference study provide a better understanding of the characteristics of the classification systems literature. They prove useful for the collection development and assist classification systems researchers to prepare linguistically for their careers and encourage international communication efforts.

• KSII Transactions on Internet and Information Systems (TIIS)
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• v.17 no.5
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• pp.1413-1432
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• 2023

Recommender systems aim to recommend items to users by taking into account their probable interests. This study focuses on creating a model that utilizes multiple sources of information about users and items by employing a multimodality approach. The study addresses the task of how to gather information from different sources (modalities) and transform them into a uniform format, resulting in a multi-modal feature description for users and items. This work also aims to transform and represent the features extracted from different modalities so that the information is in a compatible format for integration and contains important, useful information for the prediction model. To achieve this goal, we propose a novel multi-modal recommendation model, which involves extracting latent features of users and items from a utility matrix using matrix factorization techniques. Various transformation techniques are utilized to extract features from other sources of information such as user reviews, item descriptions, and item categories. We also proposed the use of Principal Component Analysis (PCA) and Feature Selection techniques to reduce the data dimension and extract important features as well as remove noisy features to increase the accuracy of the model. We conducted several different experimental models based on different subsets of modalities on the MovieLens and Amazon sub-category datasets. According to the experimental results, the proposed model significantly enhances the accuracy of recommendations when compared to SVD, which is acknowledged as one of the most effective models for recommender systems. Specifically, the proposed model reduces the RMSE by a range of 4.8% to 21.43% and increases the Precision by a range of 2.07% to 26.49% for the Amazon datasets. Similarly, for the MovieLens dataset, the proposed model reduces the RMSE by 45.61% and increases the Precision by 14.06%. Additionally, the experimental results on both datasets demonstrate that combining information from multiple modalities in the proposed model leads to superior outcomes compared to relying on a single type of information.

• Journal of the Korean School Mathematics Society
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• v.10 no.1
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• pp.113-127
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• 2007

This study explored the possibility of building a statistical model predicting difficulty of mathematics test items through the analysis of nation-wide scholastic ability test results for the past 5 years. Multiple linear regression analysis was conducted in predicting difficulty of mathematics test items. We adopted three major areas for independent variables: the content area, the behavior area, and the test item format area, each of which was categorized into more detailed sub-areas. For the dependent variable, the proportion of correct answer was used to represent the item difficulty. Statistically significant independent variables were included in the regression model based on the stepwise selection method. Several important factors affecting difficulty of mathematics test items for each area were identified. R-squares for the final regression model were fairly high, implying that the regression equation can be used to predict difficulty of test items at an acceptable level. Lastly, the regression model was cross-validated using independently collected data. We believe that this study will provide basic but very critical information for predicting the proportion of correct answer by showing the factors that should be considered for developing mathematics test items for the college entrance examination or high school classroom test.

• The Journal of the Korea Contents Association
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• v.18 no.1
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• pp.305-313
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• 2018

Public open data is a database or electronic file produced by a public agency or government. The government is opening public data through the open data portals and individual agency websites. However, it is a reality that there is a limit to search and utilize desired public data from the perspective of data users. In particular, it takes a great deal of effort and time to understand the characteristics of data sets and to combine different data sets. This study suggests the possibility of interlinking between data sets by analyzing the common relationship of item names held by public data. The data sets are collected from the open data portal, and item names included in the data sets are extracted. The extracted item names consist of formal context and formal concept through formal concept analysis. The format concept has a list of data sets and a set of item name as extent and intent, respectively, and analyzes the common items of intent end to determine the possibility of data connection. The results derived from the formal concept analysis can be effectively applied to the semantic connection of the public data, and can be applied to data standard and quality improvement for public data release.

• Korean Journal of Cognitive Science
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• v.21 no.2
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• pp.283-307
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• 2010

In this study, a new open-ended format math testing system for elementary school students has been proposed. This system is an application of the recently proposed Constructive Multiple-choice Testing (CMT) system on math testing. The CMT system is a testing system in which the examinee has to respond to an item twice, first in an open ended format, and then in the multiple choice format. The advantages of this system is that process information can easily be obtained and that the examinee can receive feedback immediately after the test, based on his/her multiple choice responses. This open-ended format math testing system includes the manager mode, which allows the generation of the test items and student account management, and the testing mode, which allows the students to input their solution process using the menu bar and the keyboard. When two groups, one tested using the CMT system and the other tested using the paper and pencil test, were compared, there was no significant difference in average scores between the two groups although the testing time was longer for the group tested using the CMT system. This result suggests that the open-ended format math testing system proposed in this study can be used effectively in the actual classroom setting.

• Journal of the Korean Society for Library and Information Science
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• v.33 no.3
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• pp.63-86
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• 1999

This article investigates the general characteristics and developments of the MARC format for holdings data. It also analyzes the record structure, content designation, and the content of it, mainly based on USMARC and KORMARC formats. Structure and content designation of them are almost same with those of the bibliographic and authority formats. The data fields divided into functional blocks based on their functions, but only 0XX, 5XX, 8XX fields are used in the holdings formats. Record contents of the data in the 008 fields include more elements related to the holdings and acquisition information. Variable fields can be grouped into several blocks, including those for numbers and codes; for notes fields, for location , and for holdings data. Holdings data fields include caption and pattern fields, enumeration and chronology fields, textual holdings fields, and item information fields. This article analyzes the content in each data fields in detail.

• Journal of the Korea Society of Computer and Information
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• v.14 no.5
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• pp.55-64
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• 2009

In this paper, we design and implement verification and interface application for interactive data broadcasting middleware. This application implements ACAP and OCAP verification item according to their types (format, protocol. resource, presentation). Therefore, using this application, we can verify whether digital settop-boxes used in digital terrestrial television and digital cable television conforms to the ACAP and OCAP standards. In this paper, we evaluate our proposed application using TVPLUSiTM verifier which can verify interactive TV application in real broadcasting environment. Through performance evaluation, we show that the DTB-H650F set-top-box supports OCAP and ACAP standard 80% and 95%, respectively.