• Journal of the Institute of Electronics Engineers of Korea TC
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• v.43 no.3 s.345
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• pp.111-117
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• 2006

Developing a home network and a ubiquitous infrastructure requires various communication techniques and devices with more advanced hardware. With this development, increasing realtime access to multimedia data results in rapid degradation of qualify for multimedia playback. This paper presents a traffic allocation technique based on MPP(Media Preference for Presentation) that can steadily maintain multimedia playback quality by adaptively allocating streaming traffic requested from clients with different playback performances. Media preference is defined in accordance with content popularity and playback performance of client devices. Through experiments when requested stream data exceeds processing ability of a midea server, the proposed allocation technique shows 10% quality improvement comparing to the system without applying the proposed allocation technique.

• Science of Emotion and Sensibility
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• v.10 no.1
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• pp.1-11
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• 2007

An Infotainment Service intended to enhance the human emotion is introduced in this paper. The service is to be installed on the robot helping elderly persons to live comfortable and enjoyable life. The research started with defining the undesirable status of emotion in everyday life, and the psychological skills to cope with the status were sought about. Then, a methodology for providing emotion contents reflecting the coping skill has been suggested. Based on the Cognitive Behavior Therapy, the coping skill is used to edit animation clips. A movie recommendation system to utilize the edited animation clips has been being developed. A series of process for developing the system is described, where the emotion elements are taken into consideration in addition to the user preference as the criterion for recommendation.

• Journal of Agricultural Extension & Community Development
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• v.21 no.4
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• pp.1029-1060
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• 2014

The purpose of this study are to figure out whether there are the meaningful differences between learner's learning achievements and contents preference in accordance with the delivery strategies (instructor-focused model, learner-focused model) of learning materials suggested by Bloom in web-based instruction, and to suggest the various options on the contents delivery strategies to improve the learner's learning achievements of each learning domains. Learning domains were divided by the cognitive domain, the affective domain, and the psychomotor domain. The result of research with 182 learners showed that learner-focused model in the cognitive domain caused higher learning achievements and preference than instructor-focused model. And instructor-focused model in the psychomotor domain compared with learner-focused model caused higher learning achievements and preference. However, there were less meaningful differences in the affective domain. In other words, learner-focused model is appropriate to the feature of the cognitive domain while instructor-focused model is appropriate to the feature of the psychomotor domain. The results suggest that delivery strategies should be chosen by domains of learning contents in order to improve learner's learning achievements in web-based instruction. Learner-focused delivery strategies in the cognitive domain and instructor-focused delivery strategies in the psychomotor domain need to be considered positively. Delivery strategies should be studied and developed in order to lead higher learning achievements and preference.

• Journal of The Korean Association of Information Education
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• v.6 no.3
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• pp.328-337
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• 2002

Looking at multimedia education contents from a design point of view, the instructor's design model may differ from the child's understanding model due to gap of the instructor's and child's knowledge. This fact implies it impacts the effectiveness of the education contents. The learning efficiency of Korean typography in WBI for children depends on the font-family, line space, font-size, the age of user, the output device such as the monitor, and other various factors. In this paper, we measured and analyzed on readability of Korean typography in WBI for children by reading speed method. The results of experiments show that readability depends on the font-family of typography, age(grade), and sex of children. In detail, "Goolymche" has the shortest time to be read, and girl and the highest grade students of elementary school have shorter time than boy and the lower grade students. Moreover, we consider the elegance of typography in WBI for holding children's interests because they prefer "Yopseoche". We provide some CSSs in WBI for children based on the experimental results, to used in school fields.

• Therapeutic Science for Rehabilitation
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• v.9 no.3
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• pp.23-34
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• 2020

Objective : Recently, the demand for wearable mobile devices for the monitoring and improvement of one's health and quality of life is increasing. Therefore, the purpose of this study is to analyze the need of potential users in order to develop mobile health based and lifestyle care application for the elderly. Methods : Participants who lived in their community and used a mobile phone were recruited. Finally, a total of 84 participants completed the survey. Data were analyzed using descriptive statistics and a t-test, which was carried out with SPSS version 25.0. Results : The application functions that users deemed important for a lifestyle care app were the number of daily steps, physical activity, blood pressure, sleep, nutrition and participation in activity. Interestingly, there was a significant difference in the importance given to the app function of participation in activities between age groups. Conclusion : This study investigated the need and preferences of potential users of health and lifestyle care application for the promotion of health among the elderly. The, findings obtained from this study could be a valuable resource for the development of lifestyle care application.

• Journal of Digital Contents Society
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• v.19 no.4
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• pp.731-737
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• 2018

The recommendation system is actively researched for the purpose of suggesting information that users may be interested in in many fields such as contents, online commerce, social network, advertisement system, and the like. However, there are many recommendation systems that propose based on past preference data, and it is difficult to provide users with little or no data in the past. Therefore, interest in higher-order data analysis is increasing and Matrix Factorization is attracting attention. In this paper, we study and propose a comparison and replay of the Factorization Machines Leaning(FM) model which is attracting attention in the recommendation system and High-Order Factorization Machines Learning(HOFM) which is a high - dimensional data analysis.

• Proceedings of the Korean Operations and Management Science Society Conference
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• 2005.10a
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• pp.165-174
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• 2005

본 논문에서는 2개의 오프라인 기반의 사이버대학과 2개의 순수 온라인 기반의 사이버대학을 대상으로, 각 대학의 이동성매체 도입의 차이점과 해당 대학의 학습자와, 교수자의 이동성매체를 통한 서비스 요구사항들이 정보제공자와 어떠한 격차를 보이는지에 대한 요구격차분석을 수행하였다. 이를 통해서, 이동성매체 도입에 따른 서비스 요구를 범주화하고 사이버대학의 이동성매체 도입 유형모델을 제시 하였다. 심층면담에 근거한 질적 연구 방법을 통해서, 사이버대학의 이동성매체 도입에 대한 교수-학습자와 정보제공자 간의 서비스 요구를 9가지 범주(컨텐츠 품질, 적시적 인포메이션 서비스, 교수학습자간 커뮤니케이션, 저작권 문제, 서비스 접근성, 서비스이해도, 서비스 선호도, 서비스 표준화, 교수-학습자와 정보제공자간의 컨센서스)로 도출하였다. 또한 인터뷰 결과의 분석을 통해서, 4개의 사이버대학이 중요시 하는 서비스 요구의 범주가 상이한 것을 확인할 수 있었다. 이를 토대로 사이버대학의 이동성매체 도입의 유형을 '요구적극 반영형', '신중도입 검토형', '경쟁적 도입 반영형', '요구소극적 반영형'으로 분석하였다.

• Journal of Korea Society of Digital Industry and Information Management
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• v.8 no.4
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• pp.83-90
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• 2012

With the rapid growth of internet infrastructure, World Wide Web is evolving recently into various services such as cloud computing, social network services. It simply go beyond the sharing of information. It started to provide new services such as E-business, remote control or management, providing virtual services, and recently it is evolving into new services such as cloud computing and social network services. These kinds of communications through World Wide Web have been interested in and have developed user-centric customized services rather than providing provider-centric informations. In these environments, it is very important to check and analyze the user requests to a website. Especially, estimating user preferences is most important. For these reasons, analyzing web logs is being done, however, it has limitations that the most of data to analyze are based on page unit statistics. Therefore, it is not enough to evaluate user preferences only by statistics of specific page. Because recent main contents of web page design are being made of media files such as image files, and of dynamic pages utilizing the techniques of CSS, Div, iFrame etc. In this paper, large log analyzer was designed and executed to analyze web server log to estimate web contents preferences of users. With mapreduce which is based on Hadoop, large logs were analyzed and web contents preferences of media files such as image files, sounds and videos were estimated.

• The KIPS Transactions:PartB
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• v.9B no.1
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• pp.1-6
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• 2002

Many customers consult the Internet before making purchase goods and using contents. The systems in the Internet could store a lot of data and classify the data into information to get relationship between a company and customers. To do that, let's consider a knowledge-assisted hybrid system that utilizes individually a customer's preference to make an optimal solution in the his/her decision making. The knowledge made by using the preference is employed to select an domain set appropriate to him/her business, and the process of selecting definitely provides the customer some benefits: elimination of discomfort from unknown information and reduction of costs and search time for forming an suitable domain set. To effectively adopt individual customer's preference and actively adapt change of business situation, this study propose an architecture of the system which includes rule presentations and an inference engine, and integrates a knowledge-based component into a quadratic programming component. In the experimental results, it is found that a knowledge-assisted hybrid system implemented by this idea is more flexible than existing systems in extension of knowledge about an customer's preference and goes beyond the traditional models.

• The Journal of the Korea Contents Association
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• v.9 no.11
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• pp.140-150
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• 2009

Difference of individual character is defined Cerebral Hemispheric Model(CHM) to develop individual intellectual abilities in this paper. Component of preferred online-game is surveyed in accordance with individual character, and investigated for possible applications. An individual is classified with 2 modes of CHM that take charge of intellectual abilities; abilities is character, taste, personality decision-making and behavior patterns; that is closely related to creativity. Difference of game component could be investigated with correlation table of cerebral preference patterns (CPP) that was drawn up with survey. Individual brain preferences (IBP) became clear through preference of individual in the investigation, and suggested concept guide-line to develop other brain preferences. Thus, this study is able to realize from education game to a great variety of contents that base on the development of thinking-faculties as optimization of user preference, can be the basic data of self-development, to improve intellectual faculties as development of individual thinking preference.