• Title/Summary/Keyword: Information Search Model

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An Image modification algorithm under the convergence camera model (수렴 카메라 모델에서의 영상 수정 알고리즘)

  • 유용현;송원석;이정안;김민기
    • Proceedings of the IEEK Conference
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    • 2003.11a
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    • pp.373-376
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    • 2003
  • This paper presents a image modification algorithm using the convergence camera model and the two perspective projection matrixes of the original cameras. Any pair of images can be transformed se that epipolar lines are parallel and horizontal in each image. The advantage of modification is that a 2-D search problem is reduced to a 1-D search problem. Reconstruction can be performed directly from the rectified images.

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Design and Implementation of an Extended Directory System for Management of the DFR Attributes (DFR 속성 관리를 위한 확장된 디렉토리 시스템의 설계 및 구현)

  • Im, Jae-Hong;Kim, Yeong-Jun
    • The Transactions of the Korea Information Processing Society
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    • v.3 no.6
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    • pp.1542-1552
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    • 1996
  • This paper presents a design and implementation of an extended directory system in manage and provide an effective search operation of the DFR(Document Filing and Retrieval) Object's attributes. For this, the design and implementation of a configuration model for interworking between the DFR and directory systems, an association mechanisms between two application's operation, extended directory schema and extended DIT(Directory Information Tree) are described. In a distributed environment, the interworking between the DFR and directory system implemented by using QUIPU 8.0 of ISODE(ISO Development Environment) directory system is tested. based on the result of this paper, an extended model of the directory system is proposed for proving search operation of various application's objects.

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The Effect of Personalized Product Recommendation Service of Online Fashion Shopping Mall on Service Use Behaviors through Cognitive Attitude and Emotional Attachment (온라인 패션쇼핑몰의 개인 상품 추천서비스가 인지적 태도와 감정적 애착을 통해 서비스 사용행동에 미치는 영향)

  • Choi, Mi Young
    • Fashion & Textile Research Journal
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    • v.23 no.5
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    • pp.586-597
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    • 2021
  • Personalized product recommendation service is receiving attention as a new marketing strategy while supporting consumer information search and purchasing decisions. This study attempted to verify the effect of self-reference on service use behavior through the dual path of cognitive attitude and emotional attachment. Using convenience sampling, an online survey was conducted with 324 women who were in their 20s and 30s. After collecting and compiling the survey data, the reliability and validity of variables constituting the conceptual research model were verified through confirmatory factor analysis using AMOS 22.0. Next, the significance of sequentially mediated pathways was verified using Process 3.5 Model 80. The results showed that self-referencing not only significantly affects service use intention by simply mediating cognitive attitudes but also sequentially mediates cognitive attitudes and additional information search. Furthermore, self-referencing was significant as an indirect path to service use intention by mediating additional information search. However, in the path mediated by emotional attachment, self-referencing was considered as a simple mediated path leading to service usage intention. These results indicate a dual path in the psychological mechanism, through cognitive and emotional evaluation, that prompts consumer behavioral responses to the personalized product information provided in the shopping process.

Vocabulary Recognition Retrieval Optimized System using MLHF Model (MLHF 모델을 적용한 어휘 인식 탐색 최적화 시스템)

  • Ahn, Chan-Shik;Oh, Sang-Yeob
    • Journal of the Korea Society of Computer and Information
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    • v.14 no.10
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    • pp.217-223
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    • 2009
  • Vocabulary recognition system of Mobile terminal is executed statistical method for vocabulary recognition and used statistical grammar recognition system using N-gram. If limit arithmetic processing capacity in memory of vocabulary to grow then vocabulary recognition algorithm complicated and need a large scale search space and many processing time on account of impossible to process. This study suggest vocabulary recognition optimize using MLHF System. MLHF separate acoustic search and lexical search system using FLaVoR. Acoustic search feature vector of speech signal extract using HMM, lexical search recognition execution using Levenshtein distance algorithm. System performance as a result of represent vocabulary dependence recognition rate of 98.63%, vocabulary independence recognition rate of 97.91%, represent recognition speed of 1.61 second.

Mathematical modeling and performance analysis for the double-dwell serial search algorithm with a search window (탐색 창을 갖는 이중드웰 직렬 동기획득 방식에 대한 수학적 모델링 및 성능분석)

  • Lee, Seong-Joo;Kim, Jae-Seok
    • Journal of the Korean Institute of Telematics and Electronics S
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    • v.36S no.9
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    • pp.9-17
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    • 1999
  • In this paper, we present a mathematical modeling and perform a performance analysis of double-dwell serial search algorithm, which has a search window concept, for pilot channel in DS-CDMA(Direct Sequence Code Division Multiple Access). We derive a code detection function, a false alarm function, a code miss function, and a mean code acquisition time for the performance analysis. We calculate the mean code acquisition time of the mathematical model in IS-95 forward link and compare it with that of the conventional search methods. The performance of the code acquisition system is also evaluated to investigate the effect of dwell times and search window size. The JTC channel model, which is a PCS channel model in North America, is used for the analysis. The numerical result shows that the mean code acquisition time of the double-dwell serial search algorithm with a search window is reduced by about 17%~25% than those of the conventional ones.

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A Study of Data Mining Optimization Model for the Credit Evaluation

  • Kim, Kap-Sik;Lee, Chang-Soon
    • Journal of the Korean Data and Information Science Society
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    • v.14 no.4
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    • pp.825-836
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    • 2003
  • Based on customer information and financing processes in capital market, we derived individual models by applying multi-layered perceptrons, MDA, and decision tree. Further, the results from the existing single models were compared with the results from the integrated model that was developed using genetic algorithm. This study contributes not only to verifying the existing individual models and but also to overcoming the limitations of the existing approaches. We have depended upon the approaches that compare individual models and search for the best-fit model. However, this study presents a methodology to build an integrated data mining model using genetic algorithm.

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A Processor Assignment Problem for ATM Switch Configuration

  • Han, Junghee;Lee, YoungHo
    • Management Science and Financial Engineering
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    • v.10 no.2
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    • pp.89-102
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    • 2004
  • In this paper, we deal with a processor assignment problem that minimizes the total traffic load of an ATM switch controller by optimally assigning processors to ATM interface units. We develop an integer programming (IP) model for the problem, and devise an effective tabu search heuristic. Computational results reveal the efficacy of the proposed tabu search procedure, finding a good quality solution within 5% of optimality gap.

5W1H based resource management model for the expansion of oneM2M standard Data Filter rules

  • Min, Seong-Hyeon;Kwak, Ho-Young;Lee, Sang-Joon
    • Journal of the Korea Society of Computer and Information
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    • v.21 no.9
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    • pp.85-90
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    • 2016
  • In this paper, we study the domain-independent sensor data structuring method and the derivations about ' Filter Criteria' expansion factors of heterogeneous domain systems. For this purpose, we propose a 5W1H based information search and retrieval method without knowledges about the target domains. And we also suggest a resource management model that can support expanding search of information. By the suggested method, the oneM2M standard able to implement the use-cases like 'data exchanging between the heterogeneous domains'.

ONTOLOGY DESIGN FOR THE EFFICIENT CUSTOMER INFORMATION RETRIEVAL

  • Gu, Mi-Sug;Hwang, Jeong-Hee;Ryu, Keun-Ho
    • Proceedings of the KSRS Conference
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    • 2005.10a
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    • pp.345-348
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    • 2005
  • Because the current web search engine estimates the similarity of documents, using the frequency of words, many documents irrespective of the user query are provided. To solve these kinds of problems, the semantic web is appearing as a future web. It is possible to provide the service based on the semantic web through ontology which specifies the knowledge in a special domain and defines the concepts of knowledge and the relationships between concepts. In this paper to search the information of potential customers for home-delivery marketing, we model the specific domain for generating the ontology. And we research how to retrieve the information, using the ontology. Therefore, in this paper, we generate the ontology to define the domain about potential customers and develop the search robot which collects the information of customers.

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An Approach to Art Collections Management and Content-based Recovery

  • De Celis Herrero, Concepcion Perez;Alvarez, Jaime Lara;Aguilar, Gustavo Cossio;Garcia, Maria Josefa Somodevilla
    • Journal of Information Processing Systems
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    • v.7 no.3
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    • pp.447-458
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    • 2011
  • This study presents a comprehensive solution to the collection management, which is based on the model for Cultural Objects (CCO). The developed system manages and spreads the collections that are safeguarded in museums and galleries more easily by using IT. In particular, we present our approach for a non-structured search and recovery of the objects based on the annotation of artwork images. In this methodology, we have introduced a faceted search used as a framework for multi-classification and for exploring/browsing complex information bases in a guided, yet unconstrained way, through a visual interface.