• Title/Summary/Keyword: On-line Database

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Emotional Model via Human Psychological Test and Its Application to Image Retrieval (인간심리를 이용한 감성 모델과 영상검색에의 적용)

  • Yoo, Hun-Woo;Jang, Dong-Sik
    • Journal of Korean Institute of Industrial Engineers
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    • v.31 no.1
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    • pp.68-78
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    • 2005
  • A new emotion-based image retrieval method is proposed in this paper. The research was motivated by Soen's evaluation of human emotion on color patterns. Thirteen pairs of adjective words expressing emotion pairs such as like-dislike, beautiful-ugly, natural-unnatural, dynamic-static, warm-cold, gay-sober, cheerful-dismal, unstablestable, light-dark, strong-weak, gaudy-plain, hard-soft, heavy-light are modeled by 19-dimensional color array and $4{\times}3$ gray matrix in off-line. Once the query is presented in text format, emotion model-based query formulation produces the associated color array and gray matrix. Then, images related to the query are retrieved from the database based on the multiplication of color array and gray matrix, each of which is extracted from query and database image. Experiments over 450 images showed an average retrieval rate of 0.61 for the use of color array alone and an average retrieval rate of 0.47 for the use of gray matrix alone.

Development on Integrated Management System for Outdoor Light Facility (야외 조명시설 통합관리 시스템 개발에 관한 연구)

  • Jeon, Chang-Dae;Chang, Byong-Kun
    • Journal of the Korean Institute of Illuminating and Electrical Installation Engineers
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    • v.20 no.8
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    • pp.15-21
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    • 2006
  • This paper concerns developing an integrated online/offline light facility management system using internet and building a database system for control box and street light. Also, we designed the system to minimize the disparity with the conventional management system by referring to an old management ledger format. Thus, the proposed method may enable the system manager to administer the light facility efficiently and to reduce the manpower and maintenance cost, economically.

분산 데이타베이스에서의 동적 화일배정에 관한 연구

  • 황영헌;김대환;김영호;강석호
    • Proceedings of the Korean Operations and Management Science Society Conference
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    • 1996.10a
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    • pp.275-278
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    • 1996
  • We propose dynamic file allocation method in distributed database management system with changing access patterns. There are a lot of studies on file allocation problem in D-DBMS, and those studies deal with off-line analysis and optimization. Those works are well for systems with static database access patterns, but are inadequate for systems that have changing access patterns. In these systems, dynamic file allocation along with access pattern is more proper. In advance, Brunstrom et al. studied on this area, but they dealt a extremely simplified model. So, we make more practical models to simulate real system. In these models, many factors that were disregard in the advance study are considered. These models are composed with the non-replication system and the replication system. In addition to, we deal with CPU workload balancing in such system in order to improve performance of systems. Our methodology is very simple and realistic, therefore we think that it will give a lot of improvement in D-DBMS with changing access pattern.

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A study on the injection mold design application method of CAE mold analysis data (CAE 성형해석 데이터의 사출금형 설계 활용 방법에 관한 연구)

  • Nam, Seung-Don
    • Design & Manufacturing
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    • v.13 no.3
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    • pp.29-34
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    • 2019
  • Cell phone injection is characterized by its small size and thinness. In addition, the product has a short cycle time, requiring a very short production schedule. To produce more accurate products faster, data from experience in producing similar products is required. In this study, two mobile phone models are presented. In this study, the quality problems caused by molding analysis and actual injection molding were analyzed and made into a database. As a result, it was considered that all the defects in the molding analysis do not affect the product in some cases, rather than appear as defects in the actual product. All defects shown in the molding analysis can be made into a database, and based on this data, it will be possible to obtain an effect that can predict more accurately whether it will cause problems after injection.

Minutiae Extraction Algorithms and Fingerprint Acquisition System using the Data Structure (자료구조를 이용한 지문인식시스템에서의 특이점 추출 알고리즘)

  • Park, Jong-Min;Lee, Jung-Oh
    • Journal of the Korea Institute of Information and Communication Engineering
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    • v.12 no.10
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    • pp.1787-1793
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    • 2008
  • Fingerprint Recognition System is made up of Off-line treatment and On-line treatment; the one is registering all the information of there trieving features which are retrieved in the digitalized fingerprint getting out of the analog fingerprint through the fingerprint acquisition device and the other is the treatment making the decision whether the users are approved to be accessed to the system or not with matching them with the fingerprint features which are retrieved and database from the input fingerprint when the users are approaching the system to use. In this paper, we propose a new data structure, called Union and Division, for processing binarized digital fingerprint image efficiently. We present a minutiae extraction algorithm that is using Union and Division and consists of binarization, noise removal, minutiae extraction stages.

Automatic Identification of Database Workloads by using SVM Workload Classifier (SVM 워크로드 분류기를 통한 자동화된 데이터베이스 워크로드 식별)

  • Kim, So-Yeon;Roh, Hong-Chan;Park, Sang-Hyun
    • The Journal of the Korea Contents Association
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    • v.10 no.4
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    • pp.84-90
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    • 2010
  • DBMS is used for a range of applications from data warehousing through on-line transaction processing. As a result of this demand, DBMS has continued to grow in terms of its size. This growth invokes the most important issue of manually tuning the performance of DBMS. The DBMS tuning should be adaptive to the type of the workload put upon it. But, identifying workloads in mixed database applications might be quite difficult. Therefore, a method is necessary for identifying workloads in the mixed database environment. In this paper, we propose a SVM workload classifier to automatically identify a DBMS workload. Database workloads are collected in TPC-C and TPC-W benchmark while changing the resource parameters. Parameters for SVM workload classifier, C and kernel parameter, were chosen experimentally. The experiments revealed that the accuracy of the proposed SVM workload classifier is about 9% higher than that of Decision tree, Naive Bayes, Multilayer perceptron and K-NN classifier.

Development of Railroad Rockfall and Landslide Information System using GIS (GIS를 이용한 철도 연변 낙석, 산사태 정보시스템 개발)

  • 이사로;송원경;박종휘
    • Tunnel and Underground Space
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    • v.11 no.1
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    • pp.64-71
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    • 2001
  • The purpose of this study is to develop rail rockfall and landslide information system to manage spatial database using GIS. For this, a spatial database containing information such as railroad, map, topographic analysis, meteorological data, and rockfall has been constructed for 2.5 km or 5 km buffer zone from the Kyungchun, Youngdong, Jungang, Taebak and Jungsun Rairoad where risk of landslide occurrence potential is high. For management of the spatial database, railroad rockfall and landslide information system has been developed. The information system consists of view, table, chart, layout and project environment. The functions provided in the system are data conversion, editing, labeling, zoom in and out, map making, graphic editing, text DB management, charting, on-line help as well as input, retrieve and output of spatial database. The system was developed using ArcView script language Avenue, and consisted of pull-down menus and icons for easy use. The spatial database and the information system can be used to rockfall and landslide management and analysis near the railroad as basic data and tool.

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Development of a Sensor Information Integrated Expert System for Optimizing Die Polishing (최적 금형연마 가공을 위한 센서 정보 통합 전문가 시스템 개발)

  • 김화영
    • Journal of the Korean Society of Manufacturing Technology Engineers
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    • v.9 no.1
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    • pp.128-135
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    • 2000
  • This paper presents a polishing expert system integrated with sensor information which can modify the polishing sequence and conditions initially determined by the system depending on the on-site polishing status. A practical system using AE sensor to detect the on-line polishing status is developed for the rotational polishing and the smoothly curved sur-face. Database and knowledge base for polishing processes are established by using the results of experiments and also expert's experience. Evaluations are performed for a die of headlight lamp by using both the sensor integrated expert sys-tem and the expert system without sensor. The test results show that the sensor integrated expert system provides more optimal polishing conditions since the proposed system takes advantage of on-line sensor information.

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A Comparative Analysis on cost-effectiveness of Manual and On-line Bibliographic Searching (문헌탐색에 있어서 수작업방법과 온라인방법과의 비용.효과분석)

  • 홍승연;사공철
    • Journal of the Korean Society for information Management
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    • v.6 no.2
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    • pp.69-85
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    • 1989
  • This study aims at reviewing the manual searching and the on-line Searching one of literature at the library or the information center, based on the comparative cost-effectiveness analysis. For this purpose, the two literature searching modes, the MEDLINE database and the corresponding Index Medicos one were used at the Medical school library of the‘s’university under same conditions of using six requests.

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An Online Scaling Method for Improving the Availability of a Database Cluster (데이터베이스 클러스터의 가용성 향상을 위한 온라인 확장 기법)

  • Lee, Chung-Ho;Jang, Yong-Il;Bae, Hae-Yeong
    • The KIPS Transactions:PartD
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    • v.10D no.6
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    • pp.935-948
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    • 2003
  • An online scaling method adds new nodes to the shared-nothing database cluster and makes tables be reorganized while the system is running. The objective is to share the workload with many nodes and increase the capacity of cluster systems. The existing online scaling method, however, has two problems. One is the degradation of response time and transactions throughput due to the additional overheads of data transfer and replica's condidtency. The other is and inefficient recovery mechanism in which the overall scaling transaction is aborted by a fault. These problems deteriorate the availability of shared-nothing database cluster. To avoid the additional overheads throughout the scaling period, our scalingmethod consists of twophases : a parallel data transfer phase and a combination phase. The parallel data transferred datausing reduces the size of data transfer by dividing the data into the number of replicas. The combination phase combines the transferred datausing resources of spare nodes. Also, our method reduces the possibility of failure throughout the scaling period and improves the availability of the database cluster.