• Title/Summary/Keyword: Database Search

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A Similarity Ranking Algorithm for Image Databases (이미지 데이터베이스 유사도 순위 매김 알고리즘)

  • Cha, Guang-Ho
    • Journal of KIISE:Databases
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    • v.36 no.5
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    • pp.366-373
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    • 2009
  • In this paper, we propose a similarity search algorithm for image databases. One of the central problems regarding content-based image retrieval (CBIR) is the semantic gap between the low-level features computed automatically from images and the human interpretation of image content. Many search algorithms used in CBIR have used the Minkowski metric (or $L_p$-norm) to measure similarity between image pairs. However those functions cannot adequately capture the aspects of the characteristics of the human visual system as well as the nonlinear relationships in contextual information. Our new search algorithm tackles this problem by employing new similarity measures and ranking strategies that reflect the nonlinearity of human perception and contextual information. Our search algorithm yields superior experimental results on a real handwritten digit image database and demonstrates its effectiveness.

Optimal Search Pattern of Ships based on Performance Surface (음향 탐지 성능 분포도 기반에서 함정 최적탐색패턴에 관한 연구)

  • Cheon, Minki;Kim, Sunhyo;Choi, Jee Woong;Choi, Cheolwoo;Son, Su-Uk;Park, Joungsoo
    • Journal of the Korea Institute of Military Science and Technology
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    • v.20 no.3
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    • pp.328-336
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    • 2017
  • The goal of this study is simulation of optimal search pattern of ships based on performance surface which are reflected underwater environmental. The process is as follows. First, temporal and spatial environmental database are extracted in complex environment and input hull mounted SONAR system parameters. The environmental database and SONAR system parameters are substituted to SONAR equations, and calculate signal excess, detection probability, detection range. And then, the performance surface, which can be used to provide operational insight of SONAR detection performance, are pictorialized. Finally, optimal search pattern of ships are simulated using genetic algorithm based on performance surface. And then, we certify optimal search pattern in various ways.

Tracking Model of Drifted Ships for Search and Rescue (해상 수색구조를 위한 표류지점 신속추정모델 연구)

  • Lee Moonjin;Gong In-Young;Kang Chang-Gu
    • Journal of the Korean Society for Marine Environment & Energy
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    • v.2 no.2
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    • pp.78-85
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    • 1999
  • Tracking model of a drifted ship lot the search and rescue mission in southern sea of Korea is studied. In this model, search area is determined by considering standard deviation of position around reference point. The reference point is estimated for a given type of ship when marine environmental conditions such as wind and current are given. A database for environmental data, which is necessary for the real-lime tracking of drilled ship, is gel)elated on southern sea and western sea of Korea. Using this database, the real-time prediction of wind and current is possible. The simulated trajectories and search area of our model ate validated by comparing with reported real data.

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Implementation of Search Engine to Minimize Traffic Using Blockchain-Based Web Usage History Management System

  • Yu, Sunghyun;Yeom, Cheolmin;Won, Yoojae
    • Journal of Information Processing Systems
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    • v.17 no.5
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    • pp.989-1003
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    • 2021
  • With the recent increase in the types of services provided by Internet companies, collection of various types of data has become a necessity. Data collectors corresponding to web services profit by collecting users' data indiscriminately and providing it to the associated services. However, the data provider remains unaware of the manner in which the data are collected and used. Furthermore, the data collector of a web service consumes web resources by generating a large amount of web traffic. This traffic can damage servers by causing service outages. In this study, we propose a website search engine that employs a system that controls user information using blockchains and builds its database based on the recorded information. The system is divided into three parts: a collection section that uses proxy, a management section that uses blockchains, and a search engine that uses a built-in database. This structure allows data sovereigns to manage their data more transparently. Search engines that use blockchains do not use internet bots, and instead use the data generated by user behavior. This avoids generation of traffic from internet bots and can, thereby, contribute to creating a better web ecosystem.

Issues of IPR Database Construction through Interdisciplinary Research (학제간 연구를 통한 IPR 데이터베이스 구축의 쟁점)

  • Kim, Dong Yong;Park, Young Chul
    • Journal of the Korea Convergence Society
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    • v.8 no.8
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    • pp.59-69
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    • 2017
  • Humanities and social sciences researchers and database experts have teamed up to build a database of IPR materials prepared by the Institute of Pacific Relations (IPR). This paper presents the issues and solutions inherent in the database construction for ensuring the quality of IPR materials. For the accessibility of the database, we maintain the database on the Web so that researchers can access it via web browsers; for the convenience of the database construction, we provide an integrated interface that allows researchers to perform all tasks in it; for the completeness of IPR materials constructed, we support the responsible input and the responsible approval that identify responsibilities of each IPR material entered; and for the immediacy of the approval, we support an interactive approval process facilitating the input of researchers. We also use database design, query processing, transaction management, and search and sorting techniques to ensure the correctness of IPR materials entered. In particular, through concurrency control using existence dependency relationships between records, we ensure the correctness between the operating system files and their paths. Our future studies include content search, database download and upload, and copyright related work on IPR materials.

A Study of the Precedent Information Search Patterns of On-line Database Users Compared to Non-users have an Effect on User Satisfaction (온라인 데이터베이스 이용자와 비이용자의 선행 정보탐색이 이용자 만족도에 미치는 영향)

  • Koo, Yeen-Bai
    • Journal of the Korean Society for Library and Information Science
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    • v.41 no.1
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    • pp.215-230
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    • 2007
  • The study aims at understanding that the precedent information search Patterns of on-line database users compared to non-users have an effect on user satisfaction. The research team analyzed S college students' library system use patterns to evaluate the efficiency of library information services and systems and therefore to diverse factors to improve user satisfaction. The research showed higher satisfaction from on-line system users than non-users. To satisfy user needs the research recommends more devices access methods to information.

A Study on the Application of Database Management Systems to the Design of Structures -Cast of Reinforced Concrete Structure- (구조물 설계에 있어서 데이터베이스 관리 시스템의 응용에 관한 연구 -철근콘크리트 구조물 설계를 중심으로-)

  • 장주흠;윤성수;김한중;이정재
    • Magazine of the Korean Society of Agricultural Engineers
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    • v.40 no.3
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    • pp.103-112
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    • 1998
  • In this study, database schema which is capable of maintaining various design-knowledge and applicable to the structural designs has been presented. Futhermore, by utilizing the database system, RECODSS (REinforced COncrete Design Support System) was developed as well. Knowledge-base that were formulated from the document is constructed by applying the concrete standard specifications of Korea from 1989. The basic drawing was prepared by $AutoCAD^TM$. As an inference in the preliminary design, the certainty function and the interpolation function were presented. The certainty function is made by assuming linear relations between each data while referencing $MYCIN^TM$ (expert systems). Nevertheless, the interpolation function was made by utilizing the linear Lagrange interpolation. For the search of the design-knowledge, fast search algorithm and full-text search algorithm were used, however, the design engine was programmed with C language. RECODSS was applied for designing a slab and a beam member. And the results were compared with the existing results. In conclusion, RECODSS was able to efficiently manage various design knowledge and to introduce stable design results.

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A Study on the Database Structure for Utilizing Classical Literature Knowledge (고문헌 지식활용을 위한 DB구조에 관한 고찰)

  • Woo, Dong-Hyun;Kim, Ki-Wook;Lee, Byung-Wook
    • The Journal of Korean Medical History
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    • v.33 no.2
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    • pp.89-104
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    • 2020
  • The purpose of this research is to build a database structure that can be useful for evidence-based medical practices by constructing the knowledge related to oriental medicine in the classical literature knowledge in a form that can utilize new forms of information technology. As a method, "database" is used as a keyword to search published studies in the field of oriental medicine, research is conducted on classic literature knowledge, and studies describing the contents of the data structure are found and analyzed. In conclusion, the original text DB for the preservation of the original texts and the presentation of the supporting texts should include 'Contents Text', 'Tree Structure', 'Herbal Structure', 'Medicine Manufacture', and 'Disease Structure' tables. In order to search, calculate, and automatically extract expressions written in the original text of the old literature, the tool DB should include 'Unit List', 'Capacity Notation List', 'CUI', 'LUI', and 'SUI' tables. In addition, In order to manage integrated knowledge such as herbal, medicine, acupuncture, disease, and literature, and to implement a search function such as comparison of similarity of control composition, the knowledge DB must contain 'dose-controlled medicine name', 'dose-controlled medicine composition', 'relational knowledge', 'knowledge structure', and 'computational knowledge' tables.

A Study on the use of WWW search engines of librarians for the internet information retrieval (사서들의 효율적인 인터넷 정보검색을 위한 WWW 탐색엔진 이용에 관한 연구)

  • 김성희
    • The Journal of Information Technology and Database
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    • v.6 no.1
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    • pp.27-46
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    • 1999
  • This study was intended to find the use patterns of internet search engines of librarians and to measure the relationship between internet use frequency and the use behavior of internet search engines. The results showed that librarians use Web search engines for academic information retrieval and are satisfied with the search results. The major problems when librarians use search engines were that search engines retrieve many non-relevant documents. As a result of hypotheses test, the relationship between internet frequency and the preference of search engines was not significantly different. On the other hand, the hypotheses that internet frequency affects satisfaction of search results, recognition of importance of search engines, and the need of retraining of librarians for internet information retrieval were shown to be significant.

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Design and Implementation of RSS feed search engine for Effective Contents Service (효과적인 콘텐츠 서비스를 위한 RSS피드 검색 엔진의 설계 및 구현)

  • Lee, Hae sung;Kwon, Joon Hee
    • Journal of Korea Society of Digital Industry and Information Management
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    • v.4 no.1
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    • pp.1-8
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    • 2008
  • In the Web 2.0, besides more gaining information on the web, the number of web sites that take advantage of RSS increases explosively. Commonly each users search RSS channels through the web search engine before registering RSS channel's url to the RSS reader. Users judge whether the site is RSS channel or not and register an RSS channel's url through theirs interests. Because accomplished by users themselves, those processes conflict to user's convenience and quick consumption of information. Techniques of current search engines can't provide users with reliable RSS feed information as search results. In this paper, we analysis appropriateness of current search engines' techniques that offer users RSS feed search service and discuss their limitations. Also, we make up RSS feed database through classification of RSS tag being possible to search RSS feed information effectively and apply update rate of each RSS channel's feed to ranking algorithm providing more reliable search results.