• 제어로봇시스템학회논문지
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• 제11권12호
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• pp.1083-1087
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• 2005

As development of digital technology, many kinds of multimedia data are used variously and requirements for effective use by user are increasing. In order to transfer information fast and precisely what user wants, effective retrieval method is required. As existing multimedia data are impossible to apply the MPEG-1, MPEG-2 and MPEG-4 technologies which are aimed at compression, store and transmission. So MPEG-7 is introduced as a new technology for effective management and retrieval of multimedia data. In this paper, we extract content-based features using color descriptor among the MPEG-7 standardization visual descriptor, and reduce feature data applying PCA(Principal Components Analysis) technique. We model the cerebral cortex and hippocampal neural network in engineering domain, and team content-based feature vectors fast and apply the hippocampal neural network algorithm to compose of optimized feature. And then we present fast and precise retrieval effect when indexing and retrieving.

• Journal of Information Processing Systems
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• 제6권3호
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• pp.359-374
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• 2010

The Future Internet that includes Real World Objects and the Internet of Things together with the more classic web pages will move communications from a nodecentric organization to an information-centric network allowing new a paradigm to take place. The 4WARD project initiated some works on the Future Internet. One of them is the creation of a Network of Information designed to enable more powerful semantic searches. In this paper, we propose a security solution for a model of information based on a semantic description and search of objects. The proposed solution takes into account both the access and the management of both objects and their descriptions.

• 한국통신학회논문지
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• 제31권8B호
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• pp.764-768
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• 2006

본 논문에서는 대용량의 대역폭을 사용하는 다양한 멀티미디어 서비스에서 발생할 수 있는 네트워크 혼잡 문제를 효율적으로 제어하며, 동시에 우선순위가 높은 서비스의 QoS를 보장하는 적응적 온라인 가격결정 방법을 제안하였다. 이 방법은 현재 네트워크의 트래픽 상황을 기반으로 하여 적응성과 유연성을 제공하는 실시간 온라인기법을 기반으로 수행되기 때문에 실제 네트워크 운영에 적용하기가 용이하다. 컴퓨터 시뮬레이션을 통하여 본 논문이 제안한 방법이 다양한 네트워크 트래픽 상황에서 우수한 성능을 가지는 것을 확인할 수 있었다.

• 한국멀티미디어학회:학술대회논문집
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• 한국멀티미디어학회 2012년도 춘계학술발표대회논문집
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• pp.318-319
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• 2012

• 제어로봇시스템학회:학술대회논문집
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• 제어로봇시스템학회 1996년도 한국자동제어학술회의논문집(국내학술편); 포항공과대학교, 포항; 24-26 Oct. 1996
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• pp.1225-1228
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• 1996

This paper describes the application area of the multimedia conference system for the electric power system operation. A variety of multimedia systems which are to be installed in the existing information communication network of KEPCO are introduced.

• Journal of information and communication convergence engineering
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• 제7권3호
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• pp.314-322
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• 2009

Nowadays, maritime communication systems need high data rate, reliability, and consistency in order to equivalently provide navigating ships with diverse multimedia services as in terrestrial communication systems. For this purpose, we conceptualize and design the maritime network for ships equipped with a multiband communication system which cost-effectively supports multimedia services according to several radiofrequency bands, such as HF, VHF, and satellite frequencies. We also introduce two service scenarios targeted for the maritime network; ship multimedia service (SMS) and real-time maritime logistics location tracking (RML2T). In addition, we specify related works according to three lower network layers (i.e., physical, data-link, and network layers) upon designing the network.

• 한국산업정보학회:학술대회논문집
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• 한국산업정보학회 2000년도 추계공동학술대회논문집
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• pp.375-389
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• 2000

Fuzzy logic ignores some information in the reasoning process. Neural networks are powerful tools for the pattern processing, but, not appropriate for the logical reasoning. To model human knowledge, besides pattern processing capability, the logical reasoning capability is equally important. Another new neural network called neural logic network is able to do the logical reasoning. Because the fuzzy inference is a fuzzy logical reasoning, we construct fuzzy inference network based on the neural logic network, extending the existing rule- inference. network. And the traditional propagation rule is modified. For the search strategies to find out the belief value of a conclusion in the fuzzy inference network, we conduct a simulation to evaluate the search costs for searching sequentially and searching by means of search priorities.

• International Journal of Computer Science & Network Security
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• 제22권9호
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• pp.43-50
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• 2022

For high-quality education of the modern generation of students, forms of organizing the educational process and the latest methods of obtaining knowledge that differ from traditional ones are necessary. The importance of multimedia teaching tools is shown, which are promising and highly effective tools that allow the teacher not only to present an array of information in a larger volume than traditional sources of information, but also to include text, graphs, diagrams, sound, animation, video, etc. in a visually integrated form. Approaches to the classification of multimedia learning tools are revealed. Special features, advantages of multimedia, expediency of use and their disadvantages are highlighted. A comprehensive analysis of the capabilities of multimedia teaching tools gave grounds for identifying the didactic functions that they perform. Several areas of multimedia application are described. Multimedia technologies make it possible to implement several basic methods of pedagogical activity, which are traditionally divided into active and passive principles of student interaction with the computer, which are revealed in the article. Important conditions for the implementation of multimedia technologies in the educational process are indicated. The feasibility of using multimedia in education is illustrated by examples. Of particular importance in education are game forms of learning, in the implementation of which educational elements based on media material play an important role. The influence of the game on the development of attention by means of works of media culture, which are very diverse in form and character, is shown. The importance of the role of multimedia in student education is indicated. In the educational process of multimedia students, a number of educational functions are implemented, which are presented in the article. Recommendations for using multimedia are given.

• 한국정보통신학회:학술대회논문집
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• 한국해양정보통신학회 2000년도 춘계종합학술대회
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• pp.325-330
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• 2000

최근 들어, 컴퓨터 및 관련 기술의 발전은 통신망, 정보 처리 형태 및 통신 서비스의 발전을 동반하여 정보화 사회로의 진입을 가속화시키고 있다. 특히 인터넷의 WWW 등장으로 인하여 전자 신문, 전자 컨퍼런스, 멀티미디어 문서 검색 등 헤아릴 수 없는 많은 서비스들이 손쉽게 개발되었고, 이는 일반인들의 정보 통신망의 수요를 더 한층 증가시키고 있으며 실제적인 정보화 시대를 앞당기고 있다. 최근 연구되고 있는 주요 기반 기술들로는 정보의 형태가 멀티미디어 화에 따른 내용 기반 정보검색 기술 연구가 활발히 진행되고 있고, 멀티미디어 정보가 방대함에 따라 기존의 하드디스크 대신에 3차 저장 장치를 하부 저장 시스템의 일부로 확장시키는 연구가 한창이다. 또한 정보 검색 분야 외에도 정보 구축 기술로, 정보들을 체계적으로 관리할 수 있도록 모델링 기법에 대해 기술한다.

• 한국멀티미디어학회논문지
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• 제18권4호
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• pp.524-532
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• 2015

All data created in BigData times is included potentially meaning and correlation in data. A variety of data during a day in all society sectors has become created and stored. Research areas in analysis and grasp meaning between data is proceeding briskly. Especially, accuracy of meaning prediction and data imbalance problem between data for analysis is part in course of something important in data analysis field. In this paper, we proposed data prediction model based on data weights and neural network using R for meaning analysis between data. Proposed data prediction model is composed of classification model and analysis model. Classification model is working as weights application of normal distribution and optimum independent variable selection of multiple regression analysis. Analysis model role is increased prediction accuracy of output variable through neural network. Performance evaluation result, we were confirmed superiority of prediction model so that performance of result prediction through primitive data was measured 87.475% by proposed data prediction model.