• Journal of the Korea Society of Computer and Information
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• v.19 no.1
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• pp.9-21
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• 2014

In this paper, we propose the auto correction technique of photography composition by which the eye line is concentrated and the stable image of the structure can be obtained in case the general user takes a picture. Because the general user photographs in most case without background knowledge about the composition of the photo, the subject location is not appropriate and the unstable composition is contrasted with the stable composition of pictures which the experts take. Therefore, we provide not the method processing the image after photographing, but he method presenting automatically the stable composition when the general users take a photograph. The proposed method analyze the subject through Saliency Map, Image Segmentation, Edge Detection, etc. and outputs the subject at the location where the stable composition can be comprised along with the guideline of the Rule of Thirds. The experimental result shows that the good composition was presented to the user automatically.

• The Journal of the Korea Contents Association
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• v.16 no.7
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• pp.154-167
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• 2016

This study is to analyze whether the use of SNS in politics has any political effects. Most previous studies on political participation by SNS tended to just focus on the participation difference between SNS users and non-users. The test results first show that the development of ICT increases citizens' interest in political information and differentiate the methods of their political participation. Second, we identified SNS users tend to have higher reliability in political information and greater transversion effects by the use of media. Finally, the study verifies SNS is a more effective tool in collective actions such as non-customary rallies and demonstration rather than in customary political participation.

• The Journal of the Korea Contents Association
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• v.20 no.2
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• pp.96-104
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• 2020

As consumers' consumption activities become more active due to the activation of online shopping malls, companies are conducting item trend analyses to boost sales. The existing item trend analysis methods are analyzed by considering only the activities of users in online shopping mall services, making it difficult to identify trends for new items without purchasing history. In this paper, we propose a trend analysis method that combines data in online shopping mall services and social network data to analyze item trends in users and potential customers in shopping malls. The proposed method uses the user's activity logs for in-service data and utilizes hot topics through word set extraction from social network data set to reflect potential users' interests. Finally, the item trend change is detected over time by utilizing the item index and the number of mentions in the social network. We show the superiority of the proposed method through performance evaluations using social network data.

• KIISE Transactions on Computing Practices
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• v.23 no.1
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• pp.65-73
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• 2017

Advances in Internet of Things Technology lead to the increasing number of daily-life things that are interconnected over the Internet. Also, several smart services are being developed by utilizing the connected things. Among the daily-life things surrounding user, the mirror can supports broad range of functionality and expandable service as it plays various roles in daily-life. Recently, various smart mirrors have been launched in certain places where people with specific goals and interests meet. However, most mirrors give the user limited information. Therefore, we designed and implemented a smart mirror that can support customized service. The proposed smart mirror utilizes information provided by other existing internet services to give user dynamic information as real_time traffic information, news, schedule, weather, etc. It also supports recommendation service based on user usage information.

• Journal of Korea Multimedia Society
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• v.11 no.9
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• pp.1213-1226
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• 2008

A recommender system supports people in making recommendations finding a set of people who are likely to provide good recommendations for a given person, or deriving recommendations from implicit behavior such as browsing activity, buying patterns, and time on task. We proposed new recommender system which combined SOM(Self-Organizing Map) neural networks with the Collaborative filtering which most recommender systems hat applied First, we segmented user groups according to demographic characteristics and then we trained the SOM with people's preferences as ito inputs. Finally we applied the classic collaborative filtering to the clustering with similarity in which an recommendation seeker belonged to, and therefore we didn't have to apply the collaborative filtering to the whose data set. Experiments were run for EachMovies data set. The results indicated that the predictive accuracy was increased in terms of MAE(Mean-Absolute-Error).

• The Journal of Korean Institute of Communications and Information Sciences
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• v.38B no.4
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• pp.305-313
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• 2013

As an FMT (Filtered Multi-Tone) transmission method of Wideband VHF communication system specified by the ETS (European Telecommunications Standards) EN 300 392-2, this paper introduces three existing realization methods, i.e., the direct filtering method using different band SRRC (Square-Root Raised Cosine) filters for each subcarrier, the PPN-DFT method using the IDFT-PPN (Poly-Phase Network) and PPN-DFT at the transmitter and receiver, respectively, and the Extended DFT method. Then, it proposes the extended IDFT-SDFT (Sliding Discrete Fourier Transform) that computes the DFT values only for interested subcarriers every sample time, and shows that it has an advantage of blind symbol timing (using no training symbol) individually for each user signal (independently of other users' signals) in the multi-user environment where the subcarriers are assigned in contiguous or interleaved blocks to each user and each user signal possibly experiences different channels.

• Journal of Broadcast Engineering
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• v.22 no.1
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• pp.95-106
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• 2017

Interest in companion screen services and high-definition television broadcasting services are rising along with the advanced of digital broadcasting communication technology. Not only providing good-quality broadcasting services in the main screen, but also creating added values of companion services in the secondary screen are important. In this paper we suggest a platform and a related authoring tool generating adaptive companion screen services according to user contexts. The Platform providing adaptive companion screen services based on user environment is designed and implemented for real service market. Proposed platform organizes a higher quality content service considering both user contexts and demands of service providers in real time, and the related authoring tool enables a novice user interface designer and service director to make adaptive user interfaces quickly and easily. We developed and simulated this platform in accordance with Korean UHD IBB standard which provides interactive service applications.

• The Journal of the Korea Contents Association
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• v.11 no.5
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• pp.57-66
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• 2011

In recent years, health management services have been increased according to the increase in interests on health and the development of information technology (IT) based on increases in advanced ages and chronic disease patients. Thus, it requires the monitoring of health conditions and the specialized healthcare services not only in a hospital but also their own home. This study provides the specific notification services related to the context information based on users' bio signal data and the notification services of specific patients and attempts to develop a hypertension monitoring system and a notification service system according to indexes. Because this system considers the context of users by differing it from the conventional monitoring services, it makes possible to obtain more exact measurement values. In addition, it is able to reduce certain health risks through managing specific patients and based on living indexes. Also, it can provide more customized services to users due to the exact and finely classified services.

• The Journal of Korean Institute of Communications and Information Sciences
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• v.37 no.1B
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• pp.67-74
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• 2012

As the amount of information on the web augments, more efforts become subsequently necessary to find the information that users want. Researchers have studied and tried a number of methods to find the wanted information more accurately and effectively, It is hard to find the information that suits to what users really want to find on the web, because previous search methods have not reflected users' aim in searches. This paper suggests an effective method in information searching by reflecting web users' interests and aim in searches. This process involves distinguishing the reliable online communities and searching based on the distinguished communities. Newly suggested method shows an improvement in accuracy in comparison to the previous methods.

• Journal of the Korea Society of Computer and Information
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• v.13 no.6
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• pp.127-136
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• 2008

A digitized image passes by encoding, storing or transmitting to show it to users. In this process, may be users would want to see a specific region of the image. And depending on the system features or in the case that the resolution of the image is large, it will take a huge time that the image show to the users. In this time, it will be resonable that the part users want to see shows earlier and afterward the other parts show. For this, JPEG2000 standards provide ROI. Although ROI extraction that users specify ROI arbitrarily is the best, people not always participate in doing all the images. There needs an automatic ROI extracting and storing in some images. JPEG2000 should extract and send an ROI automatically when the images is encoded without ROI. This study proposes a method that automatically extracts an ROI, makes the ROI masks, transfers the masked image preferentially and the background. And the study compares and experiments the proposed method and the method not having ROI.