• Title/Summary/Keyword: Indexing Model

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Genealogy-based Indexing Technique for XML Documents (XML문서를 위한 족보 기반 인덱싱 기법)

  • 이월영;용환승
    • Journal of KIISE:Databases
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    • v.31 no.1
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    • pp.72-81
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    • 2004
  • Theses days, a number of data over the Internet are represented using XML because of a virtue of XML. In proportion to the increase of XML data, query processing techniques are required that support quickly and efficiently the diverse queries to search the useful information on XML documents. But, up to now, the researches handling queries for XML data are methodologies focusing on how to process regular path expressions. Therefore, we have developed a new genealogy-based indexing technique to solve various queries such as not only regular path expression but also simple path expression, path expression referencing other elements, and so on. Also, we have applied this technique on object-relational model and evaluated the performance for many documents and various query types. The result shows improved performance in comparison with the other storage techniques.

Fuzzy Indexing and Retrieval in CBR with Weight Optimization Learning for Credit Evaluation

  • Park, Cheol-Soo;Ingoo Han
    • Proceedings of the Korea Inteligent Information System Society Conference
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    • 2002.11a
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    • pp.491-501
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    • 2002
  • Case-based reasoning is emerging as a leading methodology for the application of artificial intelligence. CBR is a reasoning methodology that exploits similar experienced solutions, in the form of past cases, to solve new problems. Hybrid model achieves some convergence of the wide proliferation of credit evaluation modeling. As a result, Hybrid model showed that proposed methodology classify more accurately than any of techniques individually do. It is confirmed that proposed methodology predicts significantly better than individual techniques and the other combining methodologies. The objective of the proposed approach is to determines a set of weighting values that can best formalize the match between the input case and the previously stored cases and integrates fuzzy sit concepts into the case indexing and retrieval process. The GA is used to search for the best set of weighting values that are able to promote the association consistency among the cases. The fitness value in this study is defined as the number of old cases whose solutions match the input cases solution. In order to obtain the fitness value, many procedures have to be executed beforehand. Also this study tries to transform financial values into category ones using fuzzy logic approach fur performance of credit evaluation. Fuzzy set theory allows numerical features to be converted into fuzzy terms to simplify the matching process, and allows greater flexibility in the retrieval of candidate cases. Our proposed model is to apply an intelligent system for bankruptcy prediction.

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Study of Digital Content Integrated Model for Massive Multimedia User (대용량 멀티미디어 사용자를 위한 디지털 콘텐츠 통합모델에 관한 연구)

  • Lim Yong-Muk;Park Sang-Cho;Kim Hee-Nam;Kim Young-Deuk;Kim Woo-Sung;Oh Soo-Hyun;Oh Yong-Sun
    • Proceedings of the Korea Contents Association Conference
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    • 2005.05a
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    • pp.352-356
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    • 2005
  • Content management, distribution system and DRM technology have been developed respectively, many contents services are more focused on the system like stability of distribution system or contents security than user-orient. In this paper, we would suggest multimedia contents management based on DRM and distribution model for the users of massive multimedia. The suggested model will be a total solution of content management, DRM and Watermarking functions as well as it will offer convenience to the users with Indexing DBMS which is focused on users.

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Implementation of Content-based Image Retrieval System using Color Spatial and Shape Information (칼라 공간과 형태 정보를 이용한 내용기반 이미지 검색 시스템 구현)

  • Ban, Hong-Oh;Kang, Mun-Ju;Choi, Heyung-Jin
    • The KIPS Transactions:PartB
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    • v.10B no.6
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    • pp.681-686
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    • 2003
  • In recent years automatic image indexing and retrieval have been increasingly studied. However, content-based retrieval techniques for general images are still inadequate for many purposes. The novelty and originality of this thesis are the definition and use of a spatial information model as a contribution to the accuracy and efficiency of image search. In addition, the model is applied to represent color and shape image contents as a vector using the method of image features extraction, which was inspired by the previous work on the study of human visual perception. The indexing scheme using the color, shape and spatial model shows the potential of being applied with the well-developed algorithms of features extraction and image search, like ranking operations. To conclude, user can retrieved more similar images with high precision and fast speed using the proposed system.

Luminance Projection Model for Efficient Video Similarity Measure (효율적인 비디오 유사도 측정을 위한 휘도 투영모델)

  • Kim, Sang-Hyun
    • Journal of the Institute of Convergence Signal Processing
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    • v.10 no.2
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    • pp.132-135
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    • 2009
  • The video similarity measure is very important factor to index and to retrieve for video data. In this paper, we propose the luminance projection model to measure the video similarity efficiently. Most algorithms for video indexing have been commonly used histograms, edges, or motion features, whereas in this paper, the proposed algorithm is employed an efficient measure using the luminance projection. To index effectively the video sequences and to decrease the computational complexity, we calculate video similarity using the key frames extracted by the cumulative measure, and compare the set of key frames using the modified Hausdorff distance. Experimental results show that the proposed luminance projection model yields the remarkable accuracy and performance than the conventional algorithm.

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2D-THI: Two-Dimensional Type Hierarchy Index for XML Databases (2D-THI: XML 데이테베이스를 위한 이차원 타입상속 계층색인)

  • Lee Jong-Hak
    • Journal of Korea Multimedia Society
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    • v.9 no.3
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    • pp.265-278
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    • 2006
  • This paper presents a two-dimensional type inheritance hierarchy index(2D-THI) for XML databases. XML Schema is one of schema models for the XML documents supporting. The type inheritance. The conventional indexing techniques for XML databases can not support XML queries on type inheritance hierarchies. We construct a two-dimensional index structure using multidimensional file organizations for supporting type inheritance hierarchy in XML queries. This indexing technique deals with the problem of clustering index entries in the two-dimensional domain space that consists of a key element domain and a type identifier domain based on the user query pattern. This index enhances query performance by adjusting the degree of clustering between the two domains. For performance evaluation, we have compared our proposed 2D-THI with the conventional class hierarchy indexing techniques in object-oriented databases such as CH-index and CG-tree through the cost model. As the result of the performance evaluations, we have verified that our proposed two-dimensional type inheritance indexing technique can efficiently support the query Processing in XML databases according to the query types.

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Linearity Enhancement of RF Power Amplifier Using Digital Predistortion with Tanh as a Nonlinear Indexing Function (비선형 인덱싱 함수 Tanh로 구현한 디지털 전치 왜곡을 이용한 RF 전력증폭기의 선형성 향상)

  • Seong, Yeon-Jung;Cho, Choon-Sik;Lee, Jae-Wook
    • The Journal of Korean Institute of Electromagnetic Engineering and Science
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    • v.22 no.4
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    • pp.430-439
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    • 2011
  • In this paper, we design a digital predistortion(DPD) for linearity enhancement of RF power amplifier operating in 900 MHz band. We verify improvement of linearity by comparing the proposed DPD using tanh as a nonlinear indexing function and the DPD using linear indexing function based on signal amplitude. The digital predistortion is realized by look-up table(LUT) method, and the Saleh model is employed for power amplifier modeling, then a commercial power amplifier module is used for measurement. The LUT has 256 tables, and the NLMS(Normalized Least Mean Square) algorithm was utilized for an adaptive algorithm for estimation. As a result, we improve the ACLR(Adjacent Channel Leakage Ratio) by around 15 dB.

Classification of Documents using Automatic Indexing (자동 색인을 이용한 문서의 분류)

  • 신진섭;장수진
    • Journal of the Korea Society of Computer and Information
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    • v.4 no.1
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    • pp.21-27
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    • 1999
  • In this paper. we propose a new method for automatic classification of documents using the degree of similarity between words. First, we seek relevance terms using automatic indexing. Second, we found frequency in use words in documents and the degree of relevance between the words using probability model. Continuously, we extracted the set of words which is connected the relevance closely and created the profiles characterizing each classification And, with the profile we finally classified them. We experimented on classifying two groups of documents. Some documents were about Genetic Algorithm. The others were about Neural Network. The results of the experiments indicated that automatic classification with word accordance of degree enable us to manage the retrieved documents structurally.

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A Study on the Index Model for Secondary Legal Information Databases (법률정보시스템의 색인에 관한 연구 -특히 2차 법률정보를 중심으로-)

  • 노정란
    • Journal of the Korean BIBLIA Society for library and Information Science
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    • v.8 no.1
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    • pp.117-134
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    • 1997
  • This study proves that the quoted legal text functions as the index which represents the contents of the text because of the characteristics of legal information, the automatic indexing in the secondary legal full-text databases can be possible without the assitance of the experts. In case of the establishment, amendment or repealing of law, change of words of index can be possible through revising the legal text quoted in the secondary legal full-text databases. Even when we dont input the full-text about retrospective documents, automatic indexing is also possible, and the establihment and the practice of expert knowledge and integrated databases are possible in case of the retrospective documents. This study indicates that it is necessary to have characteristic information the information experts recognize - that is to say, experimental and inherent knowledge only human being can have - built-in into the system rather than to approach the information system by the linguistic, statistic or structuralistic way, and it can be more essential and intelligent information system.

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Failure detection of indexing drive by vibration measurement

  • Yokoi, Masayuki;Obara, Koichiro;Ohara, Hiromitsu;Nakai, Mikio
    • 제어로봇시스템학회:학술대회논문집
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    • 1994.10a
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    • pp.531-536
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    • 1994
  • Wrapping machines in cigarette factories are equipped with indexing drive units with roller gear cam. At present there are no simple, visual, diagnostic techniques for predicting failure in these nits at an early stage. This paper proposes that failure could be predicted by using either a modified version of kurtosis, or the Wigner distribution method. The nonlinear vibration model proposed in this paper takes into consideration the play between the m and the cam follower, and precisely simulates the actual vibration. Statistics on the variance in play, obtained from the data on time history, call then be used to evaluate the effects of tile mage oil the cam and cam follower.

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