• Proceedings of the Korea Inteligent Information System Society Conference
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• 2007.05a
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• pp.171-178
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• 2007

인터넷 인구 증가와 정보자원 고도화에 따라 인터넷 사용자들은 새로운 형태의 커뮤니케이션을 스스로 발전시켜왔고 이러한 흐름이 최근 UCC의 폭발적인 증가로 이어졌다. 하지만 아직까지 사용자들이 UCC를 공유하는 동기에 대한 명확한 설명은 부재한 상황이다. UCC는 기존에 지속적으로 연구되어 왔던 온라인 커뮤니케이션 형태인 가상공동체나 온라인 구전의 참여 동기를 상당부분 계승하고 있으나 최근의 인터넷 문화와 기술 수준 변화에 부합하는 새로운 참여동기를 포함하고 있는 것으로 보여진다. 본 연구에서는 이러한 UCC 제작 동기를 파악하기 위해 UCC 제작 경험이 있는 300명의 샘플을 대상으로 설문을 수행했고, 이를 통해 UCC 제작 동기가 Self-Creation Motive, Community Commitment Motive, Self-Expression Motive, Community-Relatedness Motive, Reward Motive로 요인화될 수 있음을 밝혀냈다. 본 연구의 결과를 통해 UCC를 비즈니스 모델로 하는 온라인 기업들은 보유 고객의 UCC 공유 동기 성향을 파악할 수 있고, 이를 통해 고품질의 UCC를 확보하기 위한 차별화된 전략을 제시할 수 있게 될 것이다.

• The KIPS Transactions:PartB
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• v.17B no.2
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• pp.107-114
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• 2010

A guitar, a piano, and a violin are popular musical instruments for User Created Contents(UCC). However the patterns of audio signal generated by a guitar and a piano are too similar to differentiate. The difference between two musical instruments can be found by analyzing the frequency variation per each band near signal peaks. The distribution of probability on the existence of signal peaks based on Cumulative Histogram were applied to musical instrument recognition. Experiments with statistical models of the frequency variation per each band near signal peaks showed the 14% improvement of musical instrument recognition.

• Journal of Korea Society of Digital Industry and Information Management
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• v.15 no.3
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• pp.69-78
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• 2019

The amount of data is increasing significantly as information and communication technology advances, mobile, cloud computing, the Internet of Things and social network services become commonplace. As the data grows exponentially, there is a growing demand for services that recommend the information that users want from large amounts of data. Collaborative filtering method is commonly used in information recommendation methods. One of the problems with collaborative filtering-based recommendation method is the cold start problem. In this paper, we propose a method to improve the cold start problem. That is, it solves the cold start problem by mapping the item evaluation data that does not exist to the initial user to the automatically generated data from the mobile app. We describe the main contents of the proposed method and explain the proposed method through the book recommendation scenario. We show the superiority of the proposed method through comparison with existing methods.

• Journal of Korea Multimedia Society
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• v.13 no.2
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• pp.308-315
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• 2010

User Generated contents(UGC) interchange with internet users actively in Web2.0 environment. According to growth of content sharing site, the number of non-expert's contents increased. But non-expert's contents have a simple media just recorded. For providing actual feeling like effects and actions to non-expert's contents, we suggest Fusion Media Middleware(FMM). The FMM can increase user satisfaction by providing actual feeling. Furthermore, The content changes advanced media that has emotional impression. The FMM for providing actual feeling classify the inputted media as a scene based on MPEG-7. The FMM provide an actual feeling to simple media by inserting effects like a sound, image and text among the classified media. Using the BSD code of MPEG-21, the FMM can link up with inputted media and effects. Through the mapping BSD code the FMM control synchronization between media and effects. In this paper, Using the Fusion Media Middleware, the non-expert's contents express value as multimedia that has an actual feeling. Futhermore, the FMM creates flow of new media circulation.

• The Journal of the Korea Contents Association
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• v.16 no.5
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• pp.217-228
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• 2016

Linux it self does not support real-time. To solve this problem RTiK-Linux was designed to support real-time in the kernel space. However, since the user space does not support real-time, it is not easy to develop application. In this paper, we designed and implemented a RTiK-middleware to support real-time in the user space. RTiK-middleware provides real-time scheduling for user space through signal request period after to register process information with request period using apis on application. To evaluate the performance of the proposed RTiK-middleware, we measured the periods of generated real-time threads using RDTSC instructions, and verified that RTiK-middleware operates correctly within the error ranges of 1ms.

• Journal of Digital Contents Society
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• v.18 no.8
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• pp.1671-1676
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• 2017

In theses days, data has been explosively generated in diverse industrial areas. Accordingly, many industries want to collect and analyze these data to improve their products or services. However, collecting user data can lead to significant personal information leakage. Local differential privacy (LDP) proposed by Google is the state-of-the-art approach that is used to protect individual privacy in the process of data collection. LDP guarantees that the privacy of the user is protected by perturbing the original data at the user's side, but a data collector is still able to obtain population statistics from collected user data. However, the prevention of leakage of personal information through such data perturbation mechanism may cause the significant reduction in the data utilization. Therefore, the degree of data perturbation in LDP should be set properly depending on the data collection and analysis purposes. Thus, in this paper, we develop the simulation tool which aims to help the data collector to properly chose the degree of data perturbation in LDP by providing her/him visualized simulated results with various parameter configurations.

• The Journal of the Korea Contents Association
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• v.10 no.3
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• pp.113-121
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• 2010

Since e-Book has various advantages of hyper-link, multimedia function, dual-direction, etc, users can access to the system easily by touch method. XML has been established as the document standard of e-Book. For XML has hyperlink, style function, and structure it is suitable for knowledge delivery and expression. In this paper, we developed the Seoul's 1000 years time-capsule cultural contents into e-Book forms that can guide tourists. We also implemented the time capsule guidance system based on the e-Book of the user center through the modification process of the generated XML code using the e-Book solution.

• 한국HCI학회:학술대회논문집
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• 2009.02a
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• pp.285-289
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• 2009

Tag is important to retrieve and classify contents. However, someone uses so many unrelated tags with contents for the high ranking In this work, we propose tag refinement algorithm using TextRank. We calculate the importance of keywords occurred a title, description, tag, and comments. We refine tags removing unrelated keywords from user generated tags. From the results of experiments, we can see that proposed method is useful for refining tags.

• Korean journal of food and cookery science
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• v.8 no.2
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• pp.137-145
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• 1992

A computer-assisted microbiological quality assurance program was developed based on HACCP data obtained from a 500 bed general hospital by assessing time and temperature conditions and microbiological qualities of six categories of menu items according to the process of food product flow. The purpose of the study was to develop a computer-assisted microbiological quality assurance program in order to simplify the assessment procedures and to provide a maximum assurance to foodservice personnel and the public. A 16-Bit personnel computer compatible with IBM-PC/AT was used. The data base files and processing programs were created using dBASE III plus packages. The contents of the computerized system are summarized as knows: 1. When the input program for hazard analysis runs, a series of questions are asked to determine hazards and assess their severity and risks. Critical control points and monitoring methods for CCPs are identified and saved in Master file. 2. Output and search programs for hazard analysis are composed of 6 categories of recipe data file list, code identification list, and HACCP identification of the specific menu item. 3. When the user selects a specific category of recipe from 6 categories presented on the screen and runs data file list, a series of menu item list, CCP list, monitoring methods list are generated. When the code search program runs, menu names, ingredients, amounts and a series of codes are generated. 4. When the user types in a menu item and an identification code, critical control points and monitoring methods are generated for each menu item.

• The Journal of the Korea institute of electronic communication sciences
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• v.19 no.4
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• pp.709-720
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• 2024

By inputting consumer satisfaction as an exogenous variable into the value-based adoption model, this study explored the factors that influence the user's intention to continue using image-centered generative AI. Briefly presenting the main results, first, enjoyment did not significantly affect perceived value, but usefulness had a positive effect on perceived value. Second, Fee and technicality had a negative effect on perceived value. Third, perceived value had a positive effect on consumer satisfaction and continuous use intention. Fourth, consumer satisfaction had a positive effect on continuous use intention. Based on the above results, it is important to recognize the usefulness of image-centered generated AI and enjoyment in the process of use in order to increase the user's intention to continue using image-centered generated AI, and at the same time, it will be important to increase the user's perceived value and satisfaction by minimizing the reasonable fee and complexity in the method of use at the level acceptable to the users.