• Title/Summary/Keyword: Content Object

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Development of Continuous Cross-Flow Rice Drying Model and Drying Speed Control System Using Fuzzy Logic(II) - Drying Speed Control - (벼의 횡류 연속식 건조 모델 개발과 퍼지논리를 이용한 건조 속도 제어에 관한 연구(II) - 건조속도제어 -)

  • 송대빈;고학균;조성인
    • Journal of Biosystems Engineering
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    • v.23 no.5
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    • pp.457-464
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    • 1998
  • A drying speed control system using fuzzy logic was developed in order to minimize the damage of rice quality for a large capacity continuous dryer. The performance of the system was tested at two object moisture content of 17% and 25% on a wet basis. For object moisture content of 17% on a wet basis, the final output moisture contents from 20.46%, 20.96%, 18.98% on a wet basis were 17.99%, 17.6% and 17.23% on a wet basis, respectively. For object moisture content of 25% on a wet basis, the final output moisture contents from 28.85%, 26.95%, 28.11%, 27.8% on a wet basis were 25.24%, 24.9%, 25.23% and 25.09% on a wet basis, respectively.

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An Enhancing Caching Technique by the SOP(Shared Object Page) for Content Adaptation Systems (콘텐츠 적응화 시스템에 SOP(Shared Object Page)를 도입한 개선된 캐싱 기법)

  • Jang, Seo-Young;Jeong, Ho-Yeong;Kang, Su-Yong;Cha, Jae-Hyeok
    • Journal of Digital Contents Society
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    • v.8 no.1
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    • pp.41-50
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    • 2007
  • People access web contain via PC and many other devices. In other words, not only they access information by a PC connected internet, but also they get information through a mobile phone, a PDA even D-TV. In this article, to resolve the problem, we suppose new web caching mechanism called 'SOP(Shared Object Page)'based on applying of meta data of web page information and storing adapted objects.

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Design of Object-based Information System Prototype

  • Yoo, Suhyeon;Shin, Sumi;Kim, Hyesun
    • International Journal of Knowledge Content Development & Technology
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    • v.4 no.1
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    • pp.79-91
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    • 2014
  • Researchers who use science and technology information were found to ask an information service in which they can excerpt the contents they needed, rather than using the information at article level. In this study, we micronized the contents of scholarly articles into text, image, and table and then constructed a micro-content DB to design a new information system prototype based on this micro-content. After designing the prototype, we performed usability test for this prototype so as to confirm the usefulness of the system prototype. We expect that the outcome of this study will fulfill the segmented and diversified information need of researchers.

Content-based Image Retrieval using Color Ratio and Moment of Object Region (객체영역의 컬러비와 모멘트를 이용한 내용기반 영상검색)

  • Kim, Eun-Kyong;Oh, Jun-Taek;Kim, Wook-Hyun
    • The KIPS Transactions:PartB
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    • v.9B no.4
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    • pp.501-508
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    • 2002
  • In this paper, we propose a content-based image retrieval using the color ratio and moment of object region. We acquire an optimal spatial information by the region splitting that utilizes horizontal-vertical projection and dominant color. It is based on hypothesis that an object locates in the center of image. We use color ratio and moment as feature informations. Those are extracted from the splitted regions and have the invariant property for various transformation, and besides, similarity measure utilizes a modified histogram intersection to acquire correlation information between bins in a color histogram. In experimental results, the proposed method shows more flexible and efficient performance than existing methods based on region splitting.

The Development of Efficient Multimedia Retrieval System of the Object-Based using the Hippocampal Neural Network (해마신경망을 이용한 관심 객체 기반의 효율적인 멀티미디어 검색 시스템의 개발)

  • Jeong Seok-Hoon;Kang Dae-Seong
    • Journal of the Institute of Electronics Engineers of Korea SP
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    • v.43 no.2 s.308
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    • pp.57-64
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    • 2006
  • Tn this paper, We propose a user friendly object-based multimedia retrieval system using the HCNN(HippoCampus Neural Network. Most existing approaches to content-based retrieval rely on query by example or user based low-level features such as color, shape, texture. In this paper we perform a scene change detection and key frame extraction for the compressed video stream that is video compression standard such as MPEG. We propose a method for automatic color object extraction and ACE(Adaptive Circular filter and Edge) of content-based multimedia retrieval system. And we compose multimedia retrieval system after learned by the HCNN such extracted features. Proposed HCNN makes an adaptive real-time content-based multimedia retrieval system using excitatory teaming method that forwards important features to long-term memories and inhibitory learning method that forwards unimportant features to short-term memories controlled by impression.

Efficient Cyber Lecture System using SCC (강의객체를 이용한 효율적인 가상강의 시스템)

  • 강정배;김선경
    • Journal of Korea Society of Industrial Information Systems
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    • v.9 no.1
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    • pp.49-55
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    • 2004
  • E-Learning standard SCORM has been prepared in the United States to establish the efficient operation and development of e-Learning. The learning object of the current SCORM focuses on easy development and reusability in the professor's side. In this study instead, we present a SCC (Sharable Content Collection) scheme which can provide various studying opportunities to the learners. Constructing an efficient SCC requires improving the SCO (Sharable Content Object), a key ingredient of SCORM, and analyzing the cyber lecture into components. In this way we suggest a method to improve the existing learning objects and present an e-Learning model based on SCC.

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Design of Hot-spot generator for inserting content-based interactive advertising on DMB broadcasting

  • Park, Tae-Jin;Park, Se-Hyun;Lim, Soon-Bum;Choy, Yoon-Chul
    • Journal of Korea Multimedia Society
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    • v.11 no.12
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    • pp.1765-1774
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    • 2008
  • Due to recent increase of product placement(aka. PPL) in TV drama and entertainment program, the audience of these programs is exposed to the advertisement in the form of the props and backgrounds without discernment. Advancement in digital data broadcasting technology enabled advertisers to insert detailed information of the product or associated advertisement link into the content of the broadcast program as an interactive advertisement. With the interactive advertisement, the audience can focus on the content of the program and the advertiser can create an advertisement with a rich content through the interaction between the advertisement and the audience. It is possible because the interactive advertisement is dynamic advertisement behavior only activated by the audience's intention. In this research, we develop a Hot-spot generator to insert interactive advertisement in the DMB broadcast program. We also suggest dynamic Hot-spot generation technique that allows the Hot-spot object to follow not only the shape of the advertising object in the program, but also the movement of the object as the program progresses.

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A Study On Parameter Measurement for Artificial Intelligence Object Recognition (인공지능 객체인식에 관한 파라미터 측정 연구)

  • Choi, Byung Kwan
    • Journal of Korea Society of Digital Industry and Information Management
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    • v.15 no.3
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    • pp.15-28
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    • 2019
  • Artificial intelligence is evolving rapidly in the ICT field, smart convergence media system and content industry through the fourth industrial revolution, and it is evolving very rapidly through Big Data. In this paper, we propose a face recognition method based on object recognition based on object recognition through artificial intelligence. In this method, Were experimented and studied through the object recognition technique of artificial intelligence. In the conventional 3D image field, general research on object recognition has been carried out variously, and researches have been conducted on the side effects of visual fatigue and dizziness through 3D image. However, in this study, we tried to solve the problem caused by the quantitative difference between object recognition and object recognition for human factor algorithm that measure visual fatigue through cognitive function, morphological analysis and object recognition. Especially, The new method of computer interaction is presented and the results are shown through experiments.

Generator of Content Package Metadata for Learning Object Sequencing (학습 객체 시퀀싱을 위한 컨텐츠 패키지 메타데이터 생성기)

  • 국선화;박복자;정영식
    • Proceedings of the Korea Multimedia Society Conference
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    • 2003.11b
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    • pp.897-900
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    • 2003
  • 본 논문에서는 SCORM 기반 시퀀싱 모델을 기반으로 학습객체의 구조에 대한 정보, 학습자에게 학습 객체를 어떻게 전달할 지를 결정하는 규칙 등을 포함하고 있는 컨텐츠 구조를 제시하고 학습 컨텐츠의 재사용과 공유가 가능하고 동일한 학습 컨텐츠에 서로 다른 교수법을 적용하여 교육의 효과를 달리할 수 있도록 시퀀싱을 위한 컨텐츠 패키지 메타데이터 생성기를 개발한다. 또한 학습자 정보 트래킹을 위한 SCO(Sharable Content Object)함수를 부착하여 학습 객체가 SCORM RTE(Run-Time Environment)와 통신 할 수 있도록 PIF(Package Interchange File)로 자동 패키징 시킨다.

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Feature Extraction Of Content-based image retrieval Using object Segmentation and HAQ algorithm (객체 분할과 HAQ 알고리즘을 이용한 내용 기반 영상 검색 특징 추출)

  • 김대일;홍종선;장혜경;김영호;강대성
    • Proceedings of the IEEK Conference
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    • 2003.11a
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    • pp.453-456
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    • 2003
  • Compared with other features of the image, color features are less sensitive to noise and background complication. Besides, this adding to object segmentation has more accuracy of image retrieval. This paper presents object segmentation and HAQ(Histogram Analysis and Quantization) algorithm approach to extract features(the object information and the characteristic colors) of an image. The empirical results shows that this method presents exactly spatial and color information of an image as image retrieval's feature.

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