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A Study on Feature Information Parsing System of Video Image for Multimedia Service (멀티미디어 서비스를 위한 동영상 이미지의 특징정보 분석 시스템에 관한 연구)

  • 이창수;지정규
    • Journal of Information Technology Applications and Management
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    • v.9 no.3
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    • pp.1-12
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    • 2002
  • Due to the fast development in computer and communication technologies, a video is now being more widely used than ever in many areas. The current information analyzing systems are originally built to process text-based data. Thus, it has little bits problems when it needs to correctly represent the ambiguity of a video, when it has to process a large amount of comments, or when it lacks the objectivity that the jobs require. We would like to purpose an algorithm that is capable of analyze a large amount of video efficiently. In a video, divided areas use a region growing and region merging techniques. To sample the color, we translate the color from RGB to HSI and use the information that matches with the representative colors. To sample the shape information, we use improved moment invariants(IMI) so that we can solve many problems of histogram intersection caused by current IMI and Jain. Sampled information on characteristics of the streaming media will be used to find similar frames.

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EEG Asymmetry Changes by the Left and the Right SMR Brainwave of the Computer Learning Versus the Paper and Pencil Learning

  • Kwon, Hyung-Kyu;Cho, Jang-Sik
    • Journal of the Korean Data and Information Science Society
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    • v.18 no.4
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    • pp.1073-1079
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    • 2007
  • The purpose of this study is to present the relationship between the computer learning and the paper and pencil learning through the math learning (simple computation and complex computation) and the cartoon learning and text learning. The canonical correlation and pairwise t-test of the SMR asymmetry brainwaves of the left and the right brain show the brainwaves with the respect to the manner in which they process information during the specified task by identifying the relative activity of the brainwaves of the left and the right brain. SMR brainwave which known as the scientific measure tool for the activity and the function of the neuronal cell were found to predict the level of the awakening to check the readiness of study preparation. Computer education as a medium of the individualized and the repetitive education shows the difference from the paper and the pencil test in the respect of the differences and the relationship of the SMR brainwave of the learning process.

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A Study on the Automated Design System for Gear (기어설계 자동화 시스템에 관한 연구)

  • Cho, H.Y.;Nam, G.J.;Oh, B.K.
    • Proceedings of the KSME Conference
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    • 2001.11a
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    • pp.730-733
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    • 2001
  • A computer aided design system for spur, helical, bevel and worm gears by using AutoCAD system and its AutoLISP computer language was newly developed in this study. Two methods are available for a designer to draw a gear. The first method needs the gear design parameters such as pressure, module, number of tooth, shaft angle, velocity, materials, etc. When the gear design parameters are inputted, a gear is drawn in AutoCAD system and maximum allowable power and shaft diameter are calculated additionally. The second method calculates all dimensions and gear design parameters to draw a gear when the information such as transmission, reduction ratio, rpm, materials and pressure are inputted. The system includes four programs. Each program is composed of a data input module, a database module, a strength calculation module, a drawing module, a text module and a drawing edit module. In conclusion, the CAD system would be widely used in companies to find the geometric data and manufacturing course.

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Style-Specific Language Model Adaptation using TF*IDF Similarity for Korean Conversational Speech Recognition

  • Park, Young-Hee;Chung, Min-Hwa
    • The Journal of the Acoustical Society of Korea
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    • v.23 no.2E
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    • pp.51-55
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    • 2004
  • In this paper, we propose a style-specific language model adaptation scheme using n-gram based tf*idf similarity for Korean spontaneous speech recognition. Korean spontaneous speech shows especially different style-specific characteristics such as filled pauses, word omission, and contraction, which are related to function words and depend on preceding or following words. To reflect these style-specific characteristics and overcome insufficient data for training language model, we estimate in-domain dependent n-gram model by relevance weighting of out-of-domain text data according to their n-. gram based tf*idf similarity, in which in-domain language model include disfluency model. Recognition results show that n-gram based tf*idf similarity weighting effectively reflects style difference.

A Study on Anthropomorphic Animal Characters Search System Visualization for UX Design

  • Lee, Young-Suk
    • Journal of Korea Multimedia Society
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    • v.17 no.12
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    • pp.1521-1527
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    • 2014
  • This paper presents to design User eXperience(UX) of anthropomorphic animal characters search system (hereinafter, AACSS) for efficient user search. To this end, meta data were utilized herein to elevate the search efficiency of multimedia information and text information. Anthropomorphic animal characters require the human elements and the animal elements, thus this paper extracted the key elements of meta data as below; phenotypic element in animal system classification (Morphologic property elements, Ecological property elements, Behavioral property elements), emotion classification, which is the trait of personification and the Step of Anthropomorphic Animal Characters.

The Study of Yifangleiju Revisions ((${\ll}$의방류취${\gg}$ 적고정, 교감여연구)

  • Sheng, Zeng-Xiu;Chen, Yong-Yi;Wang, Ying
    • Korean Journal of Oriental Medicine
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    • v.13 no.3
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    • pp.179-184
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    • 2007
  • Yifangleiju is a collection of medical books that consists of 266 volumes. It is a very important set of data in studying ancient Asian medicine because it systematically organized the many medicine-related data of Eastern Asia. But it was never published again after its 30th volume was published in 1477, and only a single copy remains in Japan today. Because this book is valuable it has been republished in China based on the copy in Japan. This study is a study of the many problems that occurred in the process of republishing Yifangleiju in China.

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A Multimedia Display-Time Composition Model:An Application to a Company Advertizing System (멀티미디어 디스플레이-시간 합성 모델)

  • 왕숙희;백두권
    • Journal of the Korean Operations Research and Management Science Society
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    • v.19 no.1
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    • pp.99-112
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    • 1994
  • An important modelling requirement for multimedia systems is the representation of temporal constraints among several different media that ordinarily arise in multimedia application. The multimedia system which integrates various types of data is required to express voice, image, text and graphic data with simultaneousness or an arbitrary time intervals. The purpose of this study is to analyze the temporal reationships and synchronization among several different kinds of medium. Moreover, it proposes a Multimedia Display-Time Composition Model (MDTC Model) which guarantees a representation of any kind of temporal synchronization among more than two kinds of medium. The proposed model is applied to a company advertizing system. Finally, a multimedia authoring tool based on the MDTC Model is implemented.

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Automatic Acquisition of Domain Concepts for Ontology Learning using Affinity Propagation (온톨로지 학습을 위한 Affinity Propagation 기반의 도메인 컨셉 자동 획득 기법에 관한 연구)

  • Qasim, Iqbal;Jeong, Jin-Woo;Lee, Dong-Ho
    • Proceedings of the Korean Information Science Society Conference
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    • 2011.06c
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    • pp.168-171
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    • 2011
  • One important issue in semantic web is identification and selection of domain concepts for domain ontology learning when several hundreds or even thousands of terms are extracted and available from relevant text documents shared among the members of a domain. We present a novel domain concept acquisition and selection approach for ontology learning that uses affinity propagation algorithm, which takes as input semantic and structural similarity between pairs of extracted terms called data points. Real-valued messages are passed between data points (terms) until high quality set of exemplars (concepts) and cluster iteratively emerges. All exemplars will be considered as domain concepts for learning domain ontologies. Our empirical results show that our approach achieves high precision and recall in selection of domain concepts using less number of iterations.

Order preserving matching with k mismatches (k개의 오차를 허용하는 순위 패턴 매칭)

  • Lee, Inbok
    • Smart Media Journal
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    • v.9 no.2
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    • pp.33-38
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    • 2020
  • Order preserving matching refers to the problem of reporting substrings of a given text where there exists order isomorphism with the pattern. In this paper, we propose a new algorithm based on filtering and evaluation. The proposed algorithm is simple and easy to implement, and runs in linear time on average. Experimental results show that it works efficiently with real world data.

Introduction to Graphic-based Power System Simulator (Graphic-based Power System Simulator 소개)

  • Shin, M.C.;Kim, K.J.;Eum, J.S.;Rhee, B.;Park, C.W.;Jang, J.C.
    • Proceedings of the KIEE Conference
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    • 2001.11b
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    • pp.133-136
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    • 2001
  • In this paper the Graphic-based Power System Simulator(GPSS) program is introduced. GPSS is a Power System Simulator that is designed to provide friendly and highly interactive Graphic User Interface(GUI). The main features of GPSS are graphical free editing, quick and fine System-Drawing and Load-Flow analysis. Most of all, mapping power system data(only pure text information) into Graphic Data is of very practical use to power system designer and analyst.

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