• Journal of KIISE:Software and Applications
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• v.30 no.3_4
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• pp.316-325
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• 2003

A user preference prediction method using an exiting collaborative filtering technique has used the nearest-neighborhood method based on the user preference about items and has sought the user's similarity from the Pearson correlation coefficient. Therefore, it does not reflect any contents about items and also solve the problem of the sparsity. This study suggests the preference prediction system using the similarity weight granted Bayesian estimated value and the associative user clustering to complement problems of an exiting collaborative preference prediction method. This method suggested in this paper groups the user according to the Genre by using Association Rule Hypergraph Partitioning Algorithm and the new user is classified into one of these Genres by Naive Bayes classifier to slove the problem of sparsity in the collaborative filtering system. Besides, for get the similarity between users belonged to the classified genre and new users, this study allows the different estimated value to item which user vote through Naive Bayes learning. If the preference with estimated value is applied to the exiting Pearson correlation coefficient, it is able to promote the precision of the prediction by reducing the error of the prediction because of missing value. To estimate the performance of suggested method, the suggested method is compared with existing collaborative filtering techniques. As a result, the proposed method is efficient for improving the accuracy of prediction through solving problems of existing collaborative filtering techniques.

• Proceedings of the Korea Contents Association Conference
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• 2008.05a
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• pp.484-488
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• 2008

In ubiquitous environments, there are a large number of various mobile devices everywhere. Recently, many studies have been research on distributed resources sharing in this ubiquitous environments. However, the problems with this researches are no considering user's situation and preference. Therefore in this paper, we suggest the personalized resource sharing system considering user's situation and preference. Our system is aware of user's situation by using user's schedule information and a context information such as the time and location information and recommends personalized resources by using the simple weighted scheme. We prove our situation-aware based personalized resource sharing system by using a meeting scenario.

• Journal of Digital Convergence
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• v.10 no.1
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• pp.301-307
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• 2012

The development of mobile devices and the spread of wireless network help share and exchange information and resources more easily. The bond them to Cloud Computing technology help pay attention to "Mobile Cloud" service, so there have been being a lot of studies on "Mobile Cloud" service. Especially, the important of 'Personalization Service' which is customized for each user's preference and context has been increasing. In order to provide appropriate personalization services, it enables to recognize user's current state, analyze the user's profile like user's tendency and preference, and draw the service answering the user's request. Most existing frameworks, however, are not very suitable for mobile devices because they were proposed on the web-based. And other context information except location information among user's context information are not much considered. Therefore, this paper proposed the context-aware framework, which provides more suitable services by using user's context and profile.

• The Journal of the Institute of Internet, Broadcasting and Communication
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• v.12 no.1
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• pp.257-264
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• 2012

The development of mobile devices and the spread of wireless network help share and exchange information and resources more easily. The bond them to Cloud Computing technology help pay attention to "Mobile Cloud" service, so there have been being a lot of studies on "Mobile Cloud" service. Especially, the important of 'Recommendation Service' which is customized for each user's preference and context has been increasing. In order to provide appropriate recommendation services, it enables to recognize user's current state, analyze the user's profile like user's tendency and preference, and draw the service answering the user's request. Most existing frameworks, however, are not very suitable for mobile devices because they were proposed on the web-based. And other context information except location information among user's context information are not much considered. Therefore, this paper proposed the context-aware framework, which provides more suitable services by using user's context and profile.

• Journal of the Korea Society of Computer and Information
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• v.11 no.5 s.43
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• pp.183-193
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• 2006

This paper suggests a service model which uses a wireless sensor network in home network environment. The sensor network consists of fixed sensor nodes and user identification nodes which is attached to each user. With the input information of the user preference profile and the collected data from the sensor nodes, the database is constructed as a context information and analyzed by a home server to provide a service that establishes and controls automatically home appliances according to each user's preference. The proposed service model is implemented and tested on a Linux server with MySQL database and sensor nodes on TinyOS.

• IEMEK Journal of Embedded Systems and Applications
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• v.6 no.3
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• pp.174-182
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• 2011

Conventional home audio system (e.g. AV Receiver, CD Player etc) has a various functionality of audio play, channel mixing, but the remote controller of these audio players is too complex, difficult for user to manage them effectively. Users want to use these functionalities with more easy, comprehensible way. In this study, "intelligent real-sound presentation technology" that support high quality, realistic audio and the "design of complex information and controller of real sound using intelligent real sound play and control interface" will be introduced. So user can actively, realistically enjoy and play real sound based on user's preference, emotion and circumstance, instead of user's passive service.

• Journal of Korea Society of Digital Industry and Information Management
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• v.11 no.4
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• pp.113-127
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• 2015

An interface in smart device environment is changing to TUI(touch user interface) environment where a system is being controlled by physical touch, differently from a system controlled through conventional mouse and keyboard. What is more important than anything else in this TUI environment is to implement interface in consideration of learn ability and cognitive constructivism according to user's experience. Therefore, now is the time when it is necessary to carry out various studies on smart content design process going a step farther together with discussing the details of user's experience factor. Hence, this study was intended to look into what effect a user's experiential traits had on the production of contents for the purpose of measures for improving TUI user satisfaction in order to effectively realize contents in smart environment. Results were yielded by using a statistical empirical analysis such as cross-tabulation analysis according to important variable and user, paired t-test, multiple response analysis, and preference frequency analysis of user preference on the basis of a survey. As a result, a system was presented for implementing DFSS(Design For Six Sigma) process. TUI experience factor can be divided into direct habitual experience, direct learning experience, indirect habitual experience, and indirect learning experience. And in the results of study, it was possible to find that the important variables of this study had a positive effect on the improvement of use satisfaction with contents on the whole according to the user convenience of smart contents. This study is expected to have a positive effect on efficient smart device-based contents production by providing objective information according to empirical analysis to smart media-based developer and designer and presenting a model for improving the changed TUI usability.

• Journal of the Korean Society for information Management
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• v.29 no.1
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• pp.253-277
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• 2012

The purpose of this study is to clarify the spatial characteristics of the children's library and user's behavioral characteristics and to empirically analyze the difference in preference of the spatial characteristics based on the using behaviors. For doing this, this study selected 16 children's libraries in the country as a sampling institute and collected and analyzed 661 questionnaires targeting infants, and the lower and upper graders. The results of analysis are as follows. First, while there was a difference in the relation between the spatial characteristics and the user's characteristics according to ages and sexes, there was no difference in the developing stage. Second, there was a difference in the relation between the spatial characteristics and the using behaviors. Detailed results are as follows. While users who visit the library for reading prefer amenity and peacefulness, those who visit the library for other reasons prefer communication and territoriality. Children prefer diversity, peacefulness and communication when they visit in group rather than to visit individually. In terms of behavioral patterns, users who act quietly prefer diversity than those who act actively. Reading use frequency, as the number of times to visit increased, preference on esthetic sense, dynamics, flexibility, leisure, communication and territoriality increased, but preference on safety decreased. As the length of visit became longer, preference on diversity, self-esteem, peacefulness, dynamics and flexibility increased.

• Korean Institute of Interior Design Journal
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• no.41
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• pp.226-235
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• 2003

The importance of the community centers has been increased throughout the decade. With the interest on the centers, the quality of the architectural design of the centers have been much improved. But the importance of the interior design and color' design of the centers have been ignored. It is quite sure that the quality of the interior design impact on the satisfaction degree of the users. And color is the important element which can control the quality of the interior design economically. This study surveyed the three community centers in Seoul to investigate the status of the color usages. And to consider the user's need, and preference in color design, this study performs the questionnaire about the color image and color pallette preference of the users and interior design professionals. Mainly highly bright and low chromatic YR colors were used, giving rigid and monotonous atmosphere. The most preferred color image were warm, bright and secondly friendly, simple, soft, open. And the preference for pallette were various but we can find the difference of color preference and color combination type according to the user's group. As a result, This study proposes the basic guidelines for color design, such as ideal color Image and color and color combination type and color pallette. This proposals can be applied as a basic guideline for color design of the community centers.

• Proceedings of the Korean Institute of Information and Commucation Sciences Conference
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• 2019.05a
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• pp.502-503
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• 2019

In the existing system that recommends through review data analysis, it does not reflect personal preference details such as user's characteristics or product purchase tastes, in this paper, we propose a system that provides customized recommendation information to various users by selecting the criterion that the user thinks most importantly when searching for the product and purchasing the product, and analyzing it. This is because the user's personal preference is reflected by arranging the product list based on the criterion that the user occupies the largest portion of the product purchase, so that it is more efficient than the recommendation through the recommendation system.