• 제목/요약/키워드: Engineering Database

검색결과 4,445건 처리시간 0.034초

WORKFORCE INFORMATION DATABASE AND RFID TECHNOLOGY TO TRACK AND MANAGE WORKFORCE INFORMATION

  • Yong-Woo Kim;Sang-Chul Kim;Chan-Jeong Park
    • 국제학술발표논문집
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    • The 3th International Conference on Construction Engineering and Project Management
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    • pp.1094-1099
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    • 2009
  • Workforce information is important in production planning because production planning requires matching a production unit's capacity to loads of assignments. However, tracking and managing workforce information such as skills and accident history is not an easy job. This paper describes a prototype database system for a workforce database system that employs RFID technology. This system tracks daily workforce production capacity on sites. A pilot project is described to explore the benefits and possibility of using radio-frequency identification (RFID) to track and manage workforce information, and is followed by the results of a survey to identify benefits. In addition to the survey identifying the benefits of the database system, the paper also presents a list of challenges through a series of interviews.

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유도무기 통합최적설계를 위한 데이터베이스 설계 연구 (Database Schema Design for Integrated Missile Design and Optimization)

  • 이재우;이승진;최석민;조국현;김광식;이정욱;정갑주
    • 한국전산구조공학회논문집
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    • 제21권6호
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    • pp.563-569
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    • 2008
  • 본 논문에서는 유도무기 통합 설계 프레임워크를 위한 데이터베이스를 설계하였다. 실제 개발에 앞서 유도무기 설계에 필요한 데이터베이스를 위한 요구도를 분석하였으며, 데이터베이스 설계 개념을 정립하였다. 또한 해석도구 간의 데이터흐름 등을 파악하였으며, 이들 정보를 토대로 테이블들을 구성하고 각 객체관계를 정의하여 데이터베이스 스키마를 설계 및 구축하였다. 개발된 DB는 유도무기 통합 설계 프레임워크에 통합되었으며 프레임워크내의 데이터 저장, 검색 및 관리 등의 역할을 수행하며, 유도무기 설계에 적용하여 그 효용성을 검증하였다.

BIM 환경에서의 3D 장비 Database 구축에 관한 연구 -Tower Crane Database 구축을 중심으로- (A Study on the establishing a 3D equipment Database for BIM -Focused on the establishing of a Tower Crane Database-)

  • 심태보;윤석헌;백준홍
    • 한국전산구조공학회:학술대회논문집
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    • 한국전산구조공학회 2008년도 정기 학술대회
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    • pp.454-457
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    • 2008
  • The purpose of this study is to establish 3D equipment database for BIM because of efficient using a BIM tool. In this study (or paper), we analysis the mechanism of using equipment database. And then, a based on this results we apply and conduct the results. Therefore we expect to make better using method of BIM and efficient planning method of equipment.

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데이터 마이닝을 위한 생산공정 데이터 추출 (Data Extraction of Manufacturing Process for Data Mining)

  • 박홍균;이근안;최석우;이형욱;배성민
    • 한국정밀공학회:학술대회논문집
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    • 한국정밀공학회 2005년도 춘계학술대회 논문집
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    • pp.118-122
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    • 2005
  • Data mining is the process of autonomously extracting useful information or knowledge from large data stores or sets. For analyzing data of manufacturing processes obtained from database using data mining, source data should be collected form production process and transformed to appropriate form. To extract those data from database, a computer program should be made for each database. This paper presents a program to extract easily data form database in industry. The advantage of this program is that user can extract data from all types of database and database table and interface with Teamcenter Manufacturing.

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철근 콘크리트 구조설계 통합시스템을 위한 데이터베이스 모델 제시와 응용 (A Research on the Proposal and Application of Data Model for an Integrated System of Reinforced Concrete Structures)

  • 정윤철;천진호;서용표;이병해
    • 한국전산구조공학회:학술대회논문집
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    • 한국전산구조공학회 1998년도 가을 학술발표회 논문집
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    • pp.342-351
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    • 1998
  • The purpose of this study is to develop a central database and a database management system to store and manage information systematically from each module of an integrated structural design system. In order to efficiently express structural design process related to the data which is very complex, we used an object-oriented modeling methodology to propose the possibility to apply a database schema for application programs in an integrated system for reinforced concrete structural design. Based on this model, we developed an interface between each module and central database. After modeled by using object modeling technique, the database was mapped by the relational database table. Then the central database and the interface were programed by using Visual C/syo ++/, a windows environmental development tool.

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데이터마이닝에서 기존의 연관규칙을 갱신하는 분할 알고리즘 (Partition Algorithm for Updating Discovered Association Rules in Data Mining)

  • 이종섭;황종원;강맹규
    • 산업경영시스템학회지
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    • 제23권54호
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    • pp.1-11
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    • 2000
  • This study suggests the partition algorithm for updating the discovered association rules in large database, because a database may allow frequent or occasional updates, and such update may not only invalidate some existing strong association rules, but also turn some weak rules into strong ones. the Partition algorithm updates strong association rules efficiently in the whole update database reuseing the information of the old large itemsets. Partition algorithms that is suggested in this study scans an incremental database in view of the fact that it is difficult to find the new set of large itemset in the whole updated database after an incremental database is added to the original database. This method of generating large itemsets is different from that of FUP(Fast Update) and KDP(Kim Dong Pil)

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Privacy Disclosure and Preservation in Learning with Multi-Relational Databases

  • Guo, Hongyu;Viktor, Herna L.;Paquet, Eric
    • Journal of Computing Science and Engineering
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    • 제5권3호
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    • pp.183-196
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    • 2011
  • There has recently been a surge of interest in relational database mining that aims to discover useful patterns across multiple interlinked database relations. It is crucial for a learning algorithm to explore the multiple inter-connected relations so that important attributes are not excluded when mining such relational repositories. However, from a data privacy perspective, it becomes difficult to identify all possible relationships between attributes from the different relations, considering a complex database schema. That is, seemingly harmless attributes may be linked to confidential information, leading to data leaks when building a model. Thus, we are at risk of disclosing unwanted knowledge when publishing the results of a data mining exercise. For instance, consider a financial database classification task to determine whether a loan is considered high risk. Suppose that we are aware that the database contains another confidential attribute, such as income level, that should not be divulged. One may thus choose to eliminate, or distort, the income level from the database to prevent potential privacy leakage. However, even after distortion, a learning model against the modified database may accurately determine the income level values. It follows that the database is still unsafe and may be compromised. This paper demonstrates this potential for privacy leakage in multi-relational classification and illustrates how such potential leaks may be detected. We propose a method to generate a ranked list of subschemas that maintains the predictive performance on the class attribute, while limiting the disclosure risk, and predictive accuracy, of confidential attributes. We illustrate and demonstrate the effectiveness of our method against a financial database and an insurance database.

농촌정보 활용성 증대를 위한 통합데이터베이스 설계 (Design of Integrated Database Schema for Improving Usability of Rural Information)

  • 이지민;서교;김한중;이정재
    • 농촌계획
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    • 제11권2호
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    • pp.43-49
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    • 2005
  • As information has been brought to public attention, information storage as well as information usability has been important. Rural information is produced in many areas and institutions. However, it is difficult to use rural information comprehensively. Since formats for management are various, it is difficult to have unified frame. In this research, a schema of database fer integrating rural data is designed to improve usability using dimensional modeling. First of all, rural data are analyzed for designing integrated rural database schema. Rural data used are 'National Agricultural Statistics' and 'Gun annual statistical report'. Analysis shows that there are three considerations; administrative district, time-dependency and classification of data. Considering these three requisite, we designed database schema using dimensional modeling. The reason of using dimensional modeling is to improve usability and effectiveness. If the database was designed using ER modeling, many tables have to be joined every searching time. Separately from integrated rural database schema, user's database schema is designed considering usability. Through user's database, users can modify data or generate new data and save these processes. These make it possible to use generated data repeatedly. We evaluate usability, contribution, and effectiveness of data manipulation on the integrated rural database. We propose an integrated rural database structure improving the accessibility and usability of rural data and information and verified the data model based on a practical example.

모바일 데이트베이스 서버 관리 시스템 (Mobile database server management system)

  • 정보위;박상국
    • 한국정보통신학회:학술대회논문집
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    • 한국해양정보통신학회 2007년도 춘계종합학술대회
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    • pp.645-648
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    • 2007
  • 본 논문은 모바일 장치에 의한 데이터베이스 관리 시스템에 관해 기술한다. 본 시스템은 모바일 장치를 사용해서 언제 어디서든지 즉시 원격으로 데이터베이스를 관리 가능하다. 이를 위해 모바일 디바이스와 인터페이스 가능한 dataset server CE와 모바일 장치에서 운용 가능한 데이터베이스 관리 시스템 및 모바일 장치를 데스크톱 컴퓨터와 연결 시켜주는 웹 서비스 프로그램을 개발했다. 외부의 모바일 장치는 웹 서비스 기능과 무선으로 연결한다. 개발한 시스템은 dataset server CE 클라이언트 엔진, 웹 서비스 서버 에이전트 및 모바일 관리 시스템을 포함한다. 애플리케이션 프로그램을 이용해서 시스템의 기능을 테스트 했고, 테스트 결과 개발한 시스템이 원래의 목적대로 잘 운용됨을 확인했다.

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STEP기반의 RC 구조물 통합시스템 데이터베이스 개발 (Development of Database for Integrated Structural System of RC Buildings based on STEP)

  • 권용진;천진호;이병해
    • 한국전산구조공학회:학술대회논문집
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    • 한국전산구조공학회 2000년도 봄 학술발표회논문집
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    • pp.413-420
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    • 2000
  • This paper is study for database development for integrated structural system of RC buildings based on STEP In order to develope database, CIS/2 product model and INDECON application were used. CIS/2 will be accepted STEP(The STandard for the Exchange of Product model data) AP230 and INDECON(INtelligent structural DEsign system) is a Integrated structural system of RC buildings. The paper focuses on application from CIS/2 to INDECON database.

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