• International Journal of Contents
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• 제4권2호
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• pp.1-6
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• 2008

Pre schools with state of the art facilities that would provide not just academic excellence but also ensure the safety and provide efficient healthcare to their pupils relative to Atopic Dermatitis with Asthma is the main objective of this research One of the most promising applications of sensor networks is for human healthcare monitoring. Due to recent technological advances in sensor, low power microelectronics and miniaturization, and wireless networking enable the design and proliferation of this wireless sensor networks capable of autonomously monitoring and controlling environments. Thus, this research presents the utilization of such microelectronic sensor and plots the hardware and software architecture of a wireless sensor network system with real-time pupil monitoring that integrates vital sign sensors, location sensor and allergen sensor. This proposed architecture for wearable sensors can be used as active tags which can track pupil's location within the school's premises, identify possible atopic dermatitis with asthma allergens, it would monitor and generate a health status report of the pupil.

• Journal of Multimedia Information System
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• 제2권1호
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• pp.171-178
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• 2015

This article describes 3 dimensional (3D) face recognition system using histogram of oriented gradients (HOG) based on face curvature. The surface curvatures in the face contain the most important personal feature information. In this paper, 3D face images are recognized by the face components: cheek, eyes, mouth, and nose. For the proposed approach, the first step uses the face curvatures which present the facial features for 3D face images, after normalization using the singular value decomposition (SVD). Fisherface method is then applied to each component curvature face. The reason for adapting the Fisherface method maintains the surface attribute for the face curvature, even though it can generate reduced image dimension. And histogram of oriented gradients (HOG) descriptor is one of the state-of-art methods which have been shown to significantly outperform the existing feature set for several objects detection and recognition. In the last step, the linear discriminant analysis is explained for each component. The experimental results showed that the proposed approach leads to higher detection accuracy rate than other methods.

• 한국멀티미디어학회논문지
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• 제17권7호
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• pp.895-905
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• 2014

Recently the trade show is a massive marketing effort of a particular industry and introduces new products to potential customers, as well as the ability to elevate the brand's image and corporate identity. It is increasing its importance as a venue of communication. In these changes, the exhibition is required to have the emotional approach to enhance the dynamic and creative image of companies. Therefore, the product itself as well as the importance of various visual contents of the exhibition is increasing positive effect of the image and marketing on their products. In this sense, this study analyzes video contents of the exhibition that was held in Amsterdam, the Netherlands, Europe's largest display show 'ISE (Integrated Systems Europe)' in 2013, focusing on the domestic company, Samsung, LG Electronics and other four foreign companies. The analysis is based on the Herbert Zettl's applied media aesthetics related to the video contents, through which we can find the way to the development of exhibition video contents making for Trade show.

• 한국멀티미디어학회:학술대회논문집
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• 한국멀티미디어학회 2012년도 춘계학술발표대회논문집
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• pp.292-295
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• 2012

본 연구는 촬영을 통해 얻어진 투사면을 이용하여 투사면과 프로젝터 사이의 거리를 측정하고, 이미지 내에서 투사면이 가질 수 있는 영상의 원근 왜곡을 보정하는 프로젝션 맵핑에 대한 영상처리 기술을 제안한다. 그리하여, 결과적으로 프로젝터의 초기 설치에 소요되는 시간을 줄이고 변화된 투사면에 적합하게 프로젝션 맵핑이 이뤄짐에 따라 프로젝션 맵핑의 완성도를 높이고자 한다.

• Journal of Multimedia Information System
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• 제4권1호
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• pp.27-32
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• 2017

Through the development of the medium, Sigmund Freud's uncanny element in the Cinemagraphic technique of digital image is analyzed, and the research problem presented through the case and literature data is interpreted. Look for an Uncanned element as seen from. Interpret the theories found in art paintings and human philosophical perspectives through examples in the overlapping cinema graphs of photographs and videos that we have looked at unfamiliarity. It interprets the double surreal image of Cinemagraph through unfamiliar gaze and evaluates new horizon with digital photograph.

• International Journal of Internet, Broadcasting and Communication
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• 제7권2호
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• pp.41-50
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• 2015

As various media have developed in modern society, frequency of use of interactive media has increased which makes interactive function that uses and handles projection mapping and LED screen in set design of broadcasting, concert, play, musical and EDM(Electronic dance music) in real time possible. Development of various media led today's viewers to have higher cultural desire and the need of various interactive performance contents to receive more attention.[1]. This thesis implemented real time VJing that responds to user's motion based on existing H/W by utilizing real time interactive elements.

• Journal of Multimedia Information System
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• 제4권2호
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• pp.73-78
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• 2017

The Future Video Coding (FVC) is a new state of the art video compression standard that is going to standardize, as the next generation of High Efficiency Video Coding (HEVC) standard. The FVC standard applies newly designed block structure, which is called quadtree plus binary tree (QTBT) to improve the coding efficiency. Also, intra and inter prediction parts were changed to improve the coding performance when comparing to the previous coding standard such as HEVC and H.264/AVC. Experimental results shows that we are able to achieve the average BD-rate reduction of 25.46%, 38.00% and 35.78% for Y, U and V, respectively. In terms of complexity, the FVC takes about 14 times longer than the consumed time of HEVC encoder.

• 한국멀티미디어학회논문지
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• 제17권11호
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• pp.1296-1306
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• 2014

Recently there are many attempts that IT convergence has been studied together with very different sector like art and music. If it is possible to make a formal model with combination of engineering with strong creative sector like music, there will be some advantages to analyze its contents easily. In this study, the model has been provided to utilize music analysis and compose algorithm through the formal model research of Sonata. To this end, this study has been provided a formal model of Sonata with the Petri net model being widely used and verify the effectiveness of the proposed model on the case of Piano Sonata K. 332.

• 한국멀티미디어학회논문지
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• 제23권2호
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• pp.383-393
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• 2020

This research demonstrates the effects of a culture & arts treatment program for elderly women's regional community consciousness. Study subjects of this research are 18 women whose ages are 65 years old and older. (8 women participated in a culture & arts program and 10 women participated in an elderly center program.) The culture & arts program held 16 sessions where the subjects wrote letters or drew pictures. After this program, we measured the degree of regional community consciousness. The results of the study were, first, that the cultural and arts treatment program improved the regional community consciousness among the elderly woman. Second, the treatment program has improved the sub-region of the regional community consciousness among the woman's elderly. This result shows the culture & arts treatment program can be used as an effective way to enhance the consciousness of the regional community on elderly women

• International Journal of Fuzzy Logic and Intelligent Systems
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• 제14권4호
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• pp.240-248
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• 2014

We present a robust speaker identification algorithm that uses novel features based on soft bag-of-word representation and a simple Naive Bayes classifier. The bag-of-words (BoW) based histogram feature descriptor is typically constructed by summarizing and identifying representative prototypes from low-level spectral features extracted from training data. In this paper, we define a generalization of the standard BoW. In particular, we define three types of BoW that are based on crisp voting, fuzzy memberships, and possibilistic memberships. We analyze our mapping with three common classifiers: Naive Bayes classifier (NB); K-nearest neighbor classifier (KNN); and support vector machines (SVM). The proposed algorithms are evaluated using large datasets that simulate medical crises. We show that the proposed soft bag-of-words feature representation approach achieves a significant improvement when compared to the state-of-art methods.