• 제목/요약/키워드: multi-index

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PPMMLG :다차원 색인구조를 위한 다중 레벨 그리드 방식의 유령현상 방지 기법 (PPMMLG : A Phantom Protection Method based on Multi-Level Grid Technique for Multi-dimensional Index Structures)

  • 이석재;송석일;유재수
    • 한국정보과학회논문지:데이타베이스
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    • 제32권3호
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    • pp.304-314
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    • 2005
  • 이 논문에서는 다중 레벨 그리드 기법을 기반으로 하는 새로운 다차원 색인구조의 유령 방지 기법을 제안한다. 제안하는 기법은 트리 기반 및 비 트리 기반의 색인구조 모두에 적용이 가능하다. 또한, 제안하는 방법은 데이타베이스 관리시스템에 통합이 용이하며 적은 잠금 부담에 높은 동시성을 제공한다. 기존의 방법과 비교를 하기 위해 실제로 구현을 하였으며 다양한 환경에서의 실험을 통해 우수성을 입증 하였다.

A New Three-dimensional Integrated Multi-index Method for CBIR System

  • Zhang, Mingzhu
    • KSII Transactions on Internet and Information Systems (TIIS)
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    • 제15권3호
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    • pp.993-1014
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    • 2021
  • This paper proposes a new image retrieval method called the 3D integrated multi-index to fuse SIFT (Scale Invariant Feature Transform) visual words with other features at the indexing level. The advantage of the 3D integrated multi-index is that it can produce finer subdivisions in the search space. Compared with the inverted indices of medium-sized codebook, the proposed method increases time slightly in preprocessing and querying. Particularly, the SIFT, contour and colour features are fused into the integrated multi-index, and the joint cooperation of complementary features significantly reduces the impact of false positive matches, so that effective image retrieval can be achieved. Extensive experiments on five benchmark datasets show that the 3D integrated multi-index significantly improves the retrieval accuracy. While compared with other methods, it requires an acceptable memory usage and query time. Importantly, we show that the 3D integrated multi-index is well complementary to many prior techniques, which make our method compared favorably with the state-of-the-arts.

Phantom Protection Method for Multi-dimensional Index Structures

  • Lee, Seok-Jae;Song, Seok-Il;Yoo, Jae-Soo
    • International Journal of Contents
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    • 제3권2호
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    • pp.6-17
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    • 2007
  • Emerging modem database applications require multi-dimensional index structures to provide high performance for data retrieval. In order for a multi-dimensional index structure to be integrated into a commercial database system, efficient techniques that provide transactional access to data through this index structure are necessary. The techniques must support all degrees of isolation offered by the database system. Especially degree 3 isolation, called "no phantom read," protects search ranges from concurrent insertions and the rollbacks of deletions. In this paper, we propose a new phantom protection method for multi-dimensional index structures that uses a multi-level grid technique. The proposed mechanism is independent of the type of the multi-dimensional index structure, i.e., it can be applied to all types of index structures such as tree-based, file-based, and hash-based index structures. In addition, it has a low development cost and achieves high concurrency with a low lock overhead. It is shown through various experiments that the proposed method outperforms existing phantom protection methods for multi-dimensional index structures.

다속성 효용이론을 이용한 다속성 지수의 개발 - 지역개발에 대한 의사결정을 중심으로 - (A Multi-attribute Index for Assessing Environmental Impacts of Regional Development Projects: A Case Study of Korea)

  • 곽승준;유승훈;신철오
    • 자원ㆍ환경경제연구
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    • 제10권3호
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    • pp.345-366
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    • 2001
  • Evaluating environmental impacts of regional development projects has critical importance in environmental management aspect. This paper uses multi-attribute utility theory as a basis for obtaining a value index to assess the environmental impacts and applies the theory to a specific Korean case study. To structure and quantify basic values for the assessment, we elicited important attributes, then refined and structured them into a hierarchy. An environmental multi-attribute index is constructed as a multi-attribute utility function, based on value judgments provided by a group of technical experts, policy makers, and a decision-maker at Korean Ministry of Environment. The implications of the results are also discussed. We found that the work and results can provide valuable insights for assessment of environmental consequences.

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다속성 효용이론을 이용한 평가지표개발 - 원자력연구개발사업의 사후평가를 중심으로 - (A Multi-attribute Index for Evaluating of National Nuclear R&D Projects: A Case Study of Korea)

  • 곽승준;유승훈;김찬준
    • 한국기술혁신학회:학술대회논문집
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    • 한국기술혁신학회 2001년도 춘계학술대회:발표자료
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    • pp.389-408
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    • 2001
  • Evaluating the results of National Nuclear R&D projects has critical importance in nuclear management aspect. This paper uses multi-attribute utility theory as a basis for obtaining a value Index to assess the results of nuclear R&D projects and applies the theory to a specific Korean case study. To structure and quantify basic values for the . evaluation, we elicited important attributes, then refined and structured them into a hierarchy. A multi-attribute index is constructed as a multi-attribute utility function, based on value judgments provided by a group of technical experts, policy makers, and decision-makers. The implications of the results are also discussed. We found that the work and results can provide valuable insights for assessment of nuclear R&D consequences.

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다차원 색인구조에서 동시성제어를 위한 효율적인 유령 방지 기법 (An Efficient Phantom Protection Method for Concurrency Control in Multi-dimensional Index Structures)

  • 윤종현;송석일;유재수;이석재
    • 한국콘텐츠학회논문지
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    • 제5권1호
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    • pp.157-167
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    • 2005
  • 본 논문에서는 다차원 색인구조를 위한 새로운 유령방지 기법을 제안한다. 제안하는 유령 방지 기법은 프레디킷 잠금 기법과 그래뉼러 잠금 기법의 특징을 혼합한 방식이다. 제안하는 기법은 다차원 색인구조의 종류에 영향을 받지 않으며, 트리 기반, 파일 기반 및 해시 기반의 색인구조와 같은 모든 색인구조에 적용 가능하다. 또한, 제안하는 기법은 개발비용을 줄이고 잠금 부담이 적게 하면서도 높은 동시성을 제공한다. 그리고 다양한 환경에서의 실험을 통해 제안하는 기법이 다차원 색인 구조를 위한 기존의 유령방지 기법들에 비해 우수함을 보였다.

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암호화 데이터를 위한 힐버트 커브 기반 다차원 색인 키 생성 및 질의처리 알고리즘 (Hilbert-curve based Multi-dimensional Indexing Key Generation Scheme and Query Processing Algorithm for Encrypted Databases)

  • 김태훈;장미영;장재우
    • 한국멀티미디어학회논문지
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    • 제17권10호
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    • pp.1182-1188
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    • 2014
  • Recently, the research on database outsourcing has been actively done with the popularity of cloud computing. However, because users' data may contain sensitive personal information, such as health, financial and location information, the data encryption methods have attracted much interest. Existing data encryption schemes process a query without decrypting the encrypted databases in order to support user privacy protection. On the other hand, to efficiently handle the large amount of data in cloud computing, it is necessary to study the distributed index structure. However, existing index structure and query processing algorithms have a limitation that they only consider single-column query processing. In this paper, we propose a grid-based multi column indexing scheme and an encrypted query processing algorithm. In order to support multi-column query processing, the multi-dimensional index keys are generated by using a space decomposition method, i.e. grid index. To support encrypted query processing over encrypted data, we adopt the Hilbert curve when generating a index key. Finally, we prove that the proposed scheme is more efficient than existing scheme for processing the exact and range query.

Sparse Index Multiple Access for Multi-Carrier Systems with Precoding

  • Choi, Jinho
    • Journal of Communications and Networks
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    • 제18권3호
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    • pp.439-445
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    • 2016
  • In this paper, we consider subcarrier-index modulation (SIM) for precoded orthogonal frequency division multiplexing (OFDM) with a few activated subcarriers per user and its generalization to multi-carrier multiple access systems. The resulting multiple access is called sparse index multiple access (SIMA). SIMA can be considered as a combination of multi-carrier code division multiple access (MC-CDMA) and SIM. Thus, SIMA is able to exploit a path diversity gain by (random) spreading over multiple carriers as MC-CDMA. To detect multiple users' signals, a low-complexity detection method is proposed by exploiting the notion of compressive sensing (CS). The derived low-complexity detection method is based on the orthogonal matching pursuit (OMP) algorithm, which is one of greedy algorithms used to estimate sparse signals in CS. From simulation results, we can observe that SIMA can perform better than MC-CDMA when the ratio of the number of users to the number of multi-carrier is low.

Structural damage alarming and localization of cable-supported bridges using multi-novelty indices: a feasibility study

  • Ni, Yi-Qing;Wang, Junfang;Chan, Tommy H.T.
    • Structural Engineering and Mechanics
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    • 제54권2호
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    • pp.337-362
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    • 2015
  • This paper presents a feasibility study on structural damage alarming and localization of long-span cable-supported bridges using multi-novelty indices formulated by monitoring-derived modal parameters. The proposed method which requires neither structural model nor damage model is applicable to structures of arbitrary complexity. With the intention to enhance the tolerance to measurement noise/uncertainty and the sensitivity to structural damage, an improved novelty index is formulated in terms of auto-associative neural networks (ANNs) where the output vector is designated to differ from the input vector while the training of the ANNs needs only the measured modal properties of the intact structure under in-service conditions. After validating the enhanced capability of the improved novelty index for structural damage alarming over the commonly configured novelty index, the performance of the improved novelty index for damage occurrence detection of large-scale bridges is examined through numerical simulation studies of the suspension Tsing Ma Bridge (TMB) and the cable-stayed Ting Kau Bridge (TKB) incurred with different types of structural damage. Then the improved novelty index is extended to formulate multi-novelty indices in terms of the measured modal frequencies and incomplete modeshape components for damage region identification. The capability of the formulated multi-novelty indices for damage region identification is also examined through numerical simulations of the TMB and TKB.

다차원 색인 구조를 위한 효율적인 압축 방법 (An Efficient Compression Method for Multi-dimensional Index Structures)

  • 조형주;정진완
    • 한국정보과학회논문지:데이타베이스
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    • 제30권5호
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    • pp.429-437
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    • 2003
  • 지난 십년 동안, CPU의 발전 속도는 메모리나 디스크의 발전 속도를 훨씬 능가하였다. 이것이 압축 방법을 사용하여 데이타베이스 크기를 줄이거나 질의 비용을 줄일 수 있게 만들었다. 다양한 데이타베이스 연구 분야에서 압축 방법이 사용되고 있지만, 다차원 색인 구조를 압축하는 연구는 거의 없다. 본 논문에서는 다차원 색인 구조를 위한 HEM(Hybrid Encoding Method)이라는 압축 방법을 제안한다. HEM 압축 방법은 다차원 색인 구조의 크기뿐만 아니라, 질의 비용도 크게 줄일 수 있다. 수학적인 분석과 다양한 실험을 통하여, 우리는 HEM 압축 방법이 기존에 제안되었던 압축 방법보다 색인 크기와 질의 비용 측면에서 우수하다는 것을 보여준다.