• Title/Summary/Keyword: Data Structuring

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A Study on the Structuring Element for the Small Target Detection in the IR Image (적외선 영상에서 소형 표적탐지를 위한 Structuring Element 구조에 관한연구)

  • 김도종;이부환;임종광;구연덕
    • Proceedings of the IEEK Conference
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    • 2002.06d
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    • pp.211-214
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    • 2002
  • A novel structuring element for the morphological filter is proposed in order to detect a small target at a long distance. The modeling of the structuring element is based on the real data and implemented by parametric model approach. Several synthetic

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Analysis of 3D Data Structuring and Processing Techniques for 3D GIS (3D GIS를 위한 3차원 구조화 및 처리기술 분석)

  • 구흥대;정동기;유환희
    • Proceedings of the Korean Society of Surveying, Geodesy, Photogrammetry, and Cartography Conference
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    • 2004.04a
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    • pp.375-382
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    • 2004
  • Lately, 3D GIS begins to be widely used in many application fields. In this research, we proposed a survey and analysis result of research trends for 3D GIS technologies-acquisition of 3D spatial data, 3D features structuring, 3D visualization, data query, and transmission etc. The result is expected to give the helpful information for constructing research road-map on development of 3D GIS technologies.

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A Data Structuring Technique for Performance Enhancement of Query Processing in the Data Warehouses (DW에서의 질의어처리 성능향상을 위한 데이터 구조화 방법)

  • Lee Deok Heun;Oh Mi Hwa;Cho Jae Hun;Choi In Soo
    • Journal of the Korea Society of Computer and Information
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    • v.10 no.1 s.33
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    • pp.7-14
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    • 2005
  • An OLAP(On-Line Analytical Processing) system is the decision support tool with which a user can analyze the information interactively in the various aspects. However, the traditional existing construction of an OLAP system has the inefficiency Problem of increasing the processing time and cost caused by the use of complex MDX(Multidimensional Expressions) queries. In an attempt to solve this problem, a new concept of data structuring technique, where a unit column whose elements are all 1 is added to the fact table, was suggested. With the data structuring technique, we can reduce the processing time and cost in OLAP systems.

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Structuring of Pulmonary Function Test Paper Using Deep Learning

  • Jo, Sang-Hyun;Kim, Dae-Hoon;Kim, Yoon;Kwon, Sung-Ok;Kim, Woo-Jin;Lee, Sang-Ah
    • Journal of the Korea Society of Computer and Information
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    • v.26 no.12
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    • pp.61-67
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    • 2021
  • In this paper, we propose a method of extracting and recognizing related information for research from images of the unstructured pulmonary function test papers using character detection and recognition techniques. Also, we develop a post-processing method to reduce the character recognition error rate. The proposed structuring method uses a character detection model for the pulmonary function test paper images to detect all characters in the test paper and passes the detected character image through the character recognition model to obtain a string. The obtained string is reviewed for validity using string matching and structuring is completed. We confirm that our proposed structuring system is a more efficient and stable method than the structuring method through manual work of professionals because our system's error rate is within about 1% and the processing speed per pulmonary function test paper is within 2 seconds.

An Ontology-based Knowledge Management System - Integrated System of Web Information Extraction and Structuring Knowledge -

  • Mima, Hideki;Matsushima, Katsumori
    • Proceedings of the CALSEC Conference
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    • 2005.03a
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    • pp.55-61
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    • 2005
  • We will introduce a new web-based knowledge management system in progress, in which XML-based web information extraction and our structuring knowledge technologies are combined using ontology-based natural language processing. Our aim is to provide efficient access to heterogeneous information on the web, enabling users to use a wide range of textual and non textual resources, such as newspapers and databases, effortlessly to accelerate knowledge acquisition from such knowledge sources. In order to achieve the efficient knowledge management, we propose at first an XML-based Web information extraction which contains a sophisticated control language to extract data from Web pages. With using standard XML Technologies in the system, our approach can make extracting information easy because of a) detaching rules from processing, b) restricting target for processing, c) Interactive operations for developing extracting rules. Then we propose a structuring knowledge system which includes, 1) automatic term recognition, 2) domain oriented automatic term clustering, 3) similarity-based document retrieval, 4) real-time document clustering, and 5) visualization. The system supports integrating different types of databases (textual and non textual) and retrieving different types of information simultaneously. Through further explanation to the specification and the implementation technique of the system, we will demonstrate how the system can accelerate knowledge acquisition on the Web even for novice users of the field.

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An Exploratory Study on Policy Decision Making with Artificial Intelligence: Applying Problem Structuring Typology on Success and Failure Cases (인공지능을 활용한 정책의사결정에 관한 탐색적 연구: 문제구조화 유형으로 살펴 본 성공과 실패 사례 분석)

  • Eun, Jong-Hwan;Hwang, Sung-Soo
    • Informatization Policy
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    • v.27 no.4
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    • pp.47-66
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    • 2020
  • The rapid development of artificial intelligence technologies such as machine learning and deep learning is expanding its impact in the public administrative and public policy sphere. This paper is an exploratory study on policy decision-making in the age of artificial intelligence to design automated configuration and operation through data analysis and algorithm development. The theoretical framework was composed of the types of policy problems according to the degree of problem structuring, and the success and failure cases were classified and analyzed to derive implications. In other words, when the problem structuring is more difficult than others, the greater the possibility of failure or side effects of decision-making using artificial intelligence. Also, concerns about the neutrality of the algorithm were presented. As a policy suggestion, a subcommittee was proposed in which experts in technical and social aspects play a professional role in establishing the AI promotion system in Korea. Although the subcommittee works independently, it suggests that it is necessary to establish governance in which the results of activities can be synthesized and integrated.

Design of Morphological Filter for Image Processing (영상처리용 Morphological Filter의 하드웨어 설계)

  • 문성용;김종교
    • The Journal of Korean Institute of Communications and Information Sciences
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    • v.17 no.10
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    • pp.1109-1116
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    • 1992
  • Mathematical morphology, theoretical foundation for morphological filter, is very efficient for the analysis of the geometrical characteristics of signals and systems and is used as a predominant tool for smoothing the data with noise. In this study, H/W design of morphological filter is implemented to process the gray scale dilation and the erosion in the same circuit and to choose the maximum and minimum value by a selector, resulting in their education of the complexity of the circuit and an architecture for parallel processing. The structure of morphological filter consists of the structuring-element block, the image data block, the control block, the ADD block, the MIN/MAX block, etc, and is designed on an one-chip for real time operation.

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A Study on Structuring Method of Study Data Supporting Efficient Keyword Search (효율적인 키워드 검색을 지원하는 학습자료의 구조화 방법 연구)

  • Kim, Eun-Kyung;Choi, Jin-Oh
    • Proceedings of the Korean Institute of Information and Commucation Sciences Conference
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    • v.9 no.1
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    • pp.1063-1066
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    • 2005
  • Most reading systems that supply various study data generally support keyword search. But the usual keyword matching techniques have a problem to require the exact keyword matching, and could not find similar field materials. Futhermore, testing materials have too little information to apply the keyword matching search. To solve these problems, this thesis proposes the method to extract the important keyword from study data and to construct the database automatically when the data are stored at the storage. And using prepared similar terminology database, we suggest the intelligent and efficient technique to find study materials.

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Exploring the Impact on Problem Solving Ability according to the Level of Structuring of Curriculum Tasks in PBL Activities (PBL 활동에서 교육과정 편성 과제의 구조화 정도가 문제해결력에 미치는 영향 탐색)

  • Lee, Eun-Chul
    • The Journal of the Korea Contents Association
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    • v.20 no.7
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    • pp.282-291
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    • 2020
  • This study was conducted to explore the effects of students' problem solving ability according to the level of structuring of curriculum tasks in PBL activities. The study was conducted on 60 college students in curriculum classes. Problem solving ability was measured at the beginning of the semester. And after the midterm exam, PBL activities were conducted. 30 experimental groups performed unstructured tasks. 30 comparison groups performed semi-structured problems. After the task was completed, problem solving ability was measured at the end of the semester. Collected data were analyzed using ANCOVA. As a result, it was verified that the experimental group had a statistically significant improvement in information collection, evaluation, and feedback level than the comparative group.