• 제목/요약/키워드: Engineering Database

검색결과 4,460건 처리시간 0.038초

웹상에서 STEP의 응용프로토콜을 이용한 강교량 정보운용에 관한 연구 (A Study on Information of Steel Bridges Using Application Protocols of STEP on the Web)

  • 이상호;정연석;임승완
    • 한국전산구조공학회:학술대회논문집
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    • 한국전산구조공학회 2002년도 봄 학술발표회 논문집
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    • pp.284-291
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    • 2002
  • New information technology developments continue to have a significant impact on civil engineering fields. The objective of this study is to develop STEP-based database which will be able to store and manipulate the information of steel bridges over the life cycle. In this study, there are three steps to fulfil the objective to build database and develop the application module for that data model practically and effectively To begin with, STEP methodology for a development of data model has been used for modelling data structure. And then the data model for a steel bridge's shape and structural analysis information has been made up by using AP203 (configuration controlled design) and AP203 (composite and metallic structural analysis and related design) which are the international standard in STEP Lastly, the application module for an access to information of steel bridges has been developed by means of already made database. This study show efficiently the prototype of developing information system with the existing standard technology in civil engineering fields.

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Facial Expression Classification Using Deep Convolutional Neural Network

  • Choi, In-kyu;Ahn, Ha-eun;Yoo, Jisang
    • Journal of Electrical Engineering and Technology
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    • 제13권1호
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    • pp.485-492
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    • 2018
  • In this paper, we propose facial expression recognition using CNN (Convolutional Neural Network), one of the deep learning technologies. The proposed structure has general classification performance for any environment or subject. For this purpose, we collect a variety of databases and organize the database into six expression classes such as 'expressionless', 'happy', 'sad', 'angry', 'surprised' and 'disgusted'. Pre-processing and data augmentation techniques are applied to improve training efficiency and classification performance. In the existing CNN structure, the optimal structure that best expresses the features of six facial expressions is found by adjusting the number of feature maps of the convolutional layer and the number of nodes of fully-connected layer. The experimental results show good classification performance compared to the state-of-the-arts in experiments of the cross validation and the cross database. Also, compared to other conventional models, it is confirmed that the proposed structure is superior in classification performance with less execution time.

SE 모델기반 시험평가 체계 - 스마트 무인기 적용사례 (SE Model-Based Test & Evaluation System - Application Case for Smart UAV)

  • 오수훈;김연태;이중윤
    • 시스템엔지니어링학술지
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    • 제3권1호
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    • pp.1-7
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    • 2007
  • For the systems engineering process-based development, all requirements of 'Smart UAV Development Program' have been constructed as the database of CORE(R), computer aided systems engineering tool. In this paper, the construction and application of model-based test & evaluation system using those database is described, which prevents omitting essential tests and performing unnecessary rests and enables automatic reflection of database changes and standardization of document formats.

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INMARSAT-C를 통한 선박과 육상간 데이터베이스 동기화에 관한 연구 (A Study on Database Synchronization between Ship and Land via the INMARSAT-C)

  • 신송아;임재홍;윤희철;배정철
    • 한국정보통신학회:학술대회논문집
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    • 한국해양정보통신학회 1999년도 춘계종합학술대회
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    • pp.213-217
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    • 1999
  • 범세계적인 해상 조난 및 안전 시스템(GMDSS : Global Maritime Distress & Safety System) 요구 사항을 만족할 뿐만 아니라 운항에 대한 모든 서비스를 제공받을 수 있는 이점이 있는 INMARSAT-C는 비용이 저렴한 대신 전송 속도가 느리고, 전송량에도 한계가 있기 때문에 실시간으로 데이터베이스의 내용을 활용할 수가 없다. 이에 선박 내의 데이터들을 일정한 시간 간격으로 육상의 특정 데이터베이스에 다시 기록하므로써, 사용자는 일반 네트워크와 같이 선박내의 데이터베이스에 실시간적으로 접속한 것과 같은 편리함을 가지게 된다. 더욱이 여러 선박들이 필요한 정보들을 육상내의 데이터베이스에 기록함으로써, 많은 정보들은 하나로 통일되고, 일관성 있는 정보로 만들어 낼 있다. 본 논문에서는 육상내의 데이터베이스와 선박내의 데이터베이스의 일관성을 유지하기 위해 선박과 육상의 데이터베이스를 동기화 시키는 방안에 대해 논하고 있다.

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한국형 머리전달함수 데이터베이스 구축 (Building Korean Head-related Transfer Function Database)

  • 손대혁;박영진;박윤식;장세진
    • 한국소음진동공학회논문집
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    • 제24권4호
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    • pp.282-288
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    • 2014
  • Three-dimensional multimedia industry such as 3D TV, movie and broadcast has been developed vividly. For generating 3D contents with high quality, virtual auditory display, so called VAD, is being researched to offer more realistic experience to listeners. When people render VAD using headphones or two speakers, head-related transfer function(HRTF) plays a key role. The best solution is measuring all individuals' HRTFs, but it is hard to measure all listeners' HRTFs. To overcome this difficulty, many research groups have tried to construct their own measurement system and to build HRTF databases. However, some of them have not enough subjects or spatial resolution and they are mainly focused on Caucasian. There exists difference between Korean and Caucasian in a view of physical features. In other words, if Koreans hear three-dimensional sound rendered by HRTF database based on Caucasian, performance might be hindered. To verify this possibility and remedy the drawbacks, construction of new HRTF database aimed at Korean is needed. Therefore, our laboratory built HRTF measurement system which can measure HRTF of three-dimensional space with dense spatial resolution. With this system, 55 Korean males and 45 females' HRTFs were measured and Korean HRTF database was built based on these data.

선박 항해통신장비 원격유지보수를 위한 데이터베이스 설계 (A Database Design for Remote Maintenance of Navigation and Communication Equipments in a Vessel)

  • 김주영;옥경석;김주원;조익순
    • 한국정보통신학회논문지
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    • 제21권11호
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    • pp.2052-2060
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    • 2017
  • SOLAS 선박은 SFI group 코드 기준으로 적어도 83종의 장비를 탑재해야 하고, 각각의 장비는 다시 수 개에서 수십 개의 컴포넌트로 구성이 된다. 선박 운항 중에는 이러한 장비의 정상적인 운영이 보장되어야 하고, 문제 발생시 즉각적인 수리를 위하여 원격유지보수의 요구사항이 높다. 본 연구는 항해통신장비의 원격유지보수에 적합한 장비의 분류체계를 제시하고, 적절한 데이터베이스 구조를 도출하고자 했다. 연구 결과, 선박 항해통신장비의 원격유지보수를 위하여, 장비의 분류체계는 장비의 종류, 모델, 컴포넌트로 계층화되어야 하고, 고장모드와 영향분석, 질의응답, 수리이력, 상태정보와 예방정비 등의 테이블을 장비 모델 기준으로 구축하는 것이 효과적임을 알게 되었다. 140개의 항해통신장비 모델과 750개의 컴포넌트에 대하여 데이터베이스를 구축하였고, 실질적인 효과를 평가하기 위하여 선박장비 수리전문가가 클라우드 앱을 이용하여 검색 결과의 유용성을 평가하였다.

관계형 데이터베이스를 이용한 농업비점 자료 관리 시스템 개발 (Development of Relational Database Management System for Agricultural Non-point Source Pollution Control)

  • 박지훈;강문성;송인홍;황순호;송정헌;전상민
    • 농촌계획
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    • 제19권4호
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    • pp.319-327
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    • 2013
  • The objective of this research was to develop a relational database management system(RDBMS) to collect, manage and analyze data on agricultural non-point source(NPS) pollution. The system consists of the relational database for agricultural NPS data and data process modules. The data process modules were composed of four sub-modules for data input, management, analysis, and output. The data collected from the watershed of the upper Cheongmi stream and Geunsam-Ri were used in this study. The database was constructed using Apache Derby with meteorological, hydrological, water quality, and soil characteristics. Agricultural NPS-Data Management System(ANPS-DMS) was developed using Oracle Java. The system developed in this study can deal with a variety of agricultural NPS data and is expected to provide an appropriate data management tool for agricultural NPS studies.

Current Issues in Wind Engineering: A Review

  • Yong Chul Kim
    • 국제초고층학회논문집
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    • 제12권4호
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    • pp.287-297
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    • 2023
  • This paper briefly discusses current issues in wind engineering, including the enhancement of aerodynamic database and AI-assisted design, aerodynamic characteristics of tall buildings with atypical building shapes, application of computation fluid dynamics to wind engineering, evaluation of aerodynamic force coefficients based on a probabilistic method, estimation of tornadic wind speed (JEF scale) and effect of the Ekman Spiral on tall buildings.

IMTAR: Incremental Mining of General Temporal Association Rules

  • Dafa-Alla, Anour F.A.;Shon, Ho-Sun;Saeed, Khalid E.K.;Piao, Minghao;Yun, Un-Il;Cheoi, Kyung-Joo;Ryu, Keun-Ho
    • Journal of Information Processing Systems
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    • 제6권2호
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    • pp.163-176
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    • 2010
  • Nowadays due to the rapid advances in the field of information systems, transactional databases are being updated regularly and/or periodically. The knowledge discovered from these databases has to be maintained, and an incremental updating technique needs to be developed for maintaining the discovered association rules from these databases. The concept of Temporal Association Rules has been introduced to solve the problem of handling time series by including time expressions into association rules. In this paper we introduce a novel algorithm for Incremental Mining of General Temporal Association Rules (IMTAR) using an extended TFP-tree. The main benefits introduced by our algorithm are that it offers significant advantages in terms of storage and running time and it can handle the problem of mining general temporal association rules in incremental databases by building TFP-trees incrementally. It can be utilized and applied to real life application domains. We demonstrate our algorithm and its advantages in this paper.