• Title/Summary/Keyword: 데이터 부분 중복

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Meanings and Tasks of the Three Revised Bills which Ease Regulations on the Use of Personal Information (데이터 3법 개정의 의미와 추후 과제)

  • Kim, Seo-An
    • Convergence Security Journal
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    • v.20 no.2
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    • pp.59-68
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    • 2020
  • In January 2020, the National Assembly passed the revisions of three bills which ease regulations on the use of personal information. The revised laws include the launch of an independent supervisory body, the arrangement of redundant regulations, and regulations for the development of the data economy. This paper analyzes the content and meaning of each law of the Three Revised Bills that Ease Regulations on the Use of Personal Information. And the future challenges outline three aspects: the establishment of a system to ensure the right to informational self-determination of privacy concerns, the establishment of a certification system and the presentation of reasonable guidelines, and the expectation of professional performance by the Personal Information Protection Commission.

The Error concealment using Scalability in H.236v2 (H.263v2에서 계층부호화를 이용한 오류 은닉)

  • 한승균;장승기;서덕영
    • The Journal of Korean Institute of Communications and Information Sciences
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    • v.25 no.7A
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    • pp.1063-1075
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    • 2000
  • This paper proposes an adaptive error concealment technique for compressed video. Since redundancy is extracted out during compression process, compressed video is vulnerable to errors which occur during transmission of video over error prone networks such as wireless channels and Internet. Error concealment is a process of reconstructing video out of damaged video bit stream. We proved that scalable encoding is very useful for error concealment. Analysis of experiments shows that some part of image is better concealed by using base layer information and other part of image is better concealed by using previous frame information. We developed a technique which enables to decide which methodology is more effective, adaptively, based on motion vectors and regional spatial activity. We used H.263v2 for scalable encoding, but, our approach could be applied to all DCT based video codec.

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Design & Implementation of Information Retrieval & Management System KRISTAL-2000 (정보검색관리시스템 KRISTAL-2000 설계 및 구현)

  • 이민호;진두석;김광영;주원균;서정현;류범종
    • Proceedings of the Korean Information Science Society Conference
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    • 2003.04a
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    • pp.653-655
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    • 2003
  • 데이터베이스를 구축하고 서비스하기 위한 대부분의 방식은 상용 DBMS를 사용하여 문서에 대한 관리를 수행하고, 사용자 검색을 수행하기 위해 정보검색 시스템을 사용하는 DBMS와 정보검색 시스템의 연동방식을 채택하고 있다. 이러한 환경은 DBMS와 정보검색 시스템을 이중으로 운영하여야 하는 불편함이 있고, 변동된 문서에 대한 데이터 일관성을 유지하기 어렵고, 데이터를 중복 저장하므로 저장 공간의 낭비를 가져온다. DBMS를 기반으로 정보 검색 시스템을 밀결합하는 방법도 있으나 검색 속도저하문제를 야기하였다. 본 논문에서는 정보 검색 시스템을 바탕으로, DBMS의 필수 요소인 안정적인 문서 관리 부분을 접목한 정보검색 관리 시스템을 설계한다.

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A new multiple description selective coding scheme (새로운 멀티플 디스크립션 선택적 부호화 방식)

  • Lee, Jong-Bae
    • Journal of the Institute of Electronics Engineers of Korea TE
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    • v.42 no.1
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    • pp.41-46
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    • 2005
  • A new multiple description selective coding is proposed to overcome noisy channels. Our algorithm adopts an embedded coding scheme, in which subband coefficients are encoded one bit plane at a time using a non-adaptive arithmetic encoder. According to the importance ratio for each region, we code interest regions with more passes than background in order to reconstruct interest regions with higher quality. To overcome channel errors, we adopt multiple description scheme which adds controlled amounts of redundancy to the original data during the compression process. Proposed algorithm achieves better qualify compared with other algorithms especially in the circumstances where very low bit rate coding is required and some regions are more important than other regions.

Spatial Operation Allocation Scheme over Common Query Regions for Distributed Spatial Data Stream Processing (분산 공간 데이터 스트림 처리에서 질의 영역의 겹침을 고려한 공간 연산 배치 기법)

  • Chung, Weon-Il
    • Journal of the Korea Academia-Industrial cooperation Society
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    • v.13 no.6
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    • pp.2713-2719
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    • 2012
  • According to increasing of various location-based services, distributed data stream processing techniques have been widely studied to provide high scalability and availability. In previous researches, in order to balance the load of distributed nodes, the geographic characteristics of spatial data stream are not considered. For this reason, distributed operations for adjacent spatial regions increases the overall system load. We propose a operation allocation scheme considering the characteristics of spatial operations to effectively processing spatial data stream in distributed computing environments. The proposed method presents the efficient share maximizing approach that preferentially distributes spatial operations sharing the common query regions to the same node in order to separate the adjacent spatial operations on overlapped regions.

Feature Selection for Classification of Mass Spectrometric Proteomic Data Using Random Forest (단백체 스펙트럼 데이터의 분류를 위한 랜덤 포리스트 기반 특성 선택 알고리즘)

  • Ohn, Syng-Yup;Chi, Seung-Do;Han, Mi-Young
    • Journal of the Korea Society for Simulation
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    • v.22 no.4
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    • pp.139-147
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    • 2013
  • This paper proposes a novel method for feature selection for mass spectrometric proteomic data based on Random Forest. The method includes an effective preprocessing step to filter a large amount of redundant features with high correlation and applies a tournament strategy to get an optimal feature subset. Experiments on three public datasets, Ovarian 4-3-02, Ovarian 7-8-02 and Prostate shows that the new method achieves high performance comparing with widely used methods and balanced rate of specificity and sensitivity.

Feature Selection by Genetic Algorithm and Information Theory (유전자 알고리즘과 정보이론을 이용한 속성선택)

  • Cho, Jae-Hoon;Lee, Dae-Jong;Song, Chang-Kyu;Kim, Yong-Sam;Chun, Myung-Geun
    • Journal of the Korean Institute of Intelligent Systems
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    • v.18 no.1
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    • pp.94-99
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    • 2008
  • In the pattern classification problem, feature selection is an important technique to improve performance of the classifiers. Particularly, in the case of classifying with a large number of features or variables, the accuracy of the classifier can be improved by using the relevant feature subset to remove the irrelevant, redundant, or noisy data. In this paper we propose a feature selection method using genetic algorithm and information theory. Experimental results show that this method can achieve better performance for pattern recognition problems than conventional ones.

A Fast Editing/Writing Technique for Large-scale Multimedia Files with Data Sharing based on YAFFS (YAFFS 기반의 데이터 공유를 통한 대용량 멀티미디어 파일 고속 편집 저장 기법)

  • Seung Wan Jung;Young Jin Nam;Dae Wha Seo
    • Proceedings of the Korea Information Processing Society Conference
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    • 2008.11a
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    • pp.1134-1137
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    • 2008
  • 최근 디지털 기술의 발달로 인해 디지털 캠코더, 디지털 카메라 등의 휴대용 멀티미디어 기기가 증가하고 있고, 이러한 휴대용 장치를 위한 저장 장치로 낸드 플래시가 많이 사용된다. 이러한 장치는 고화질 미디어 컨텐츠 녹화 기능을 제공하고, 녹화된 영상물은 대용량 파일 형태로 저장된다. 대용량 파일의 필요한 부분만을 편집하여 재 저장하기 위해서는 새로운 기법이 요구된다. 본 논문은 낸드 플래시 메모리 전용 파일 시스템인 YAFFS를 사용하는 멀티미디어 휴대 장치에서 멀티미디어 파일을 고속으로 편집하고 동시에 필요한 저장 공간 소모를 최소화 하는 기법을 제안한다. 동영상 파일 편집 후 저장에 있어서 현재의 낸드 플래시 파일 시스템들은 편집 내용을 빈 공간에 새로 저장하기 때문에, 대용량의 파일일수록 많은 시간과 저장 공간이 소모 된다. 본 논문에서 제안하는 기법은 동영상 편집 후 파일 간에 중복되는 데이터를 새로 저장하지 않고 공유하도록 하면서 소모되는 시간과 공간을 최소화 한다. 이를 위해 파일 간 공유 되는 데이터를 관리하는 페이지 공유 맵을 설계하고 이를 이용한 동영상 고속 편집 저장 기법을 제시한다.

Channel Condition Adaptive Error Concealment using Scalability Coding (채널상태에 적응적인 계층 부호화를 이용한 오류 은닉 방법 연구)

  • Han Seung-Gyun;Park Seung-Ho;Suh Doug-Young
    • The Journal of Korean Institute of Communications and Information Sciences
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    • v.29 no.1B
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    • pp.8-17
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    • 2004
  • In this paper: we propose the adaptive error concealment technique for scalable video coding over wireless network error prove environment. We prove it is very effective that Error concealment techniques proposed in this paper are applied to scalable video data. In this paper, we propose two methods of error concealment. First one is that the en·or is concealed using the motion vector of base layer and previous VOP data. Second one is that according to existence of motion vector in error position, the error is concealed using the same position data of base layer when the motion vector is existing otherwise using the same position data of previous VOP when the motion vector is 0(zero) adaptively. We show that according to various error pattern caused by condition of wireless network and characteristics of sequence, we refer decoder to base layer data or previous enhancement layer data to effective error concealment. Using scalable coding of MPEG-4 In this paper, this error concealment techniques are available to be used every codec based on DCT.

Uncertainty Measurement of Incomplete Information System based on Conditional Information Entropy (조건부 정보엔트로피에 의한 불완전 정보시스템의 불확실성 측정)

  • Park, Inkyoo
    • The Journal of the Institute of Internet, Broadcasting and Communication
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    • v.14 no.2
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    • pp.107-113
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    • 2014
  • The derivation of optimal information from decision table is based on the concept of indiscernibility relation and approximation space in rough set. Because decision table is more likely to be susceptible to the superposition or inconsistency in decision table, the reduction of attributes is a important concept in knowledge representation. While complete subsets of the attribute's domain is considered in algebraic definition, incomplete subsets of the attribute's domain is considered in information-theoretic definition. Therefore there is a marked difference between algebraic and information-theoretic definition. This paper proposes a conditional entropy using rough set as information theoretical measures in order to deduct the optimal information which may contain condition attributes and decision attribute of information system and shows its effectiveness.