• Title/Summary/Keyword: Modeling language

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RC beams retrofitted using external bars with additional anchorages-a finite element study

  • Vasudevan, G.;Kothandaraman, S.
    • Computers and Concrete
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    • v.16 no.3
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    • pp.415-428
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    • 2015
  • Study on flexural retrofitting of RC beams using external bars with additional intermediate anchorages at soffit is reported in this paper. Effects of varying number of anchorages in the external bars at soffit were studied by finite element analysis using ANSYS 12.0 software. The results were also compared with available experimental results for beam with only two end anchorages. Two sets of reference and retrofitted beam specimens with two, three, four and five anchorages were analysed and the results are reported. FE modeling and non-linear analysis was carried out by discrete reinforcement modeling using Solid65, Solid45 and Link8 elements. Combin39 spring elements were used for modeling the frictional contact between the soffit and the external bars. The beam specimens were subjected to four-point bending and incremental loading was applied till failure. The entire process of modeling, application of incremental loading and generation of output in text and graphical format were carried out using ANSYS Parametric Design Language.

Development of Automatic Gear Modeling Module Using Computer Aided Design(CAD) (컴퓨터응용설계(CAD)를 이용한 기어모델링 자동화 모듈 개발)

  • Kim, Dae-Ho
    • Journal of the Korean Society of Mechanical Technology
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    • v.20 no.6
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    • pp.803-808
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    • 2018
  • Combining digital automation solutions throughout recent manufacturing process is essential. Advanced robot and mechanical techniques are required for design, manufacture, and distribution process. Manual design of repetitive similar mechanical components during the development phase of these advanced machines and robots can occur wasting time and money. Developed gear design module, which is the power transfer system mechanical component, was programmed in the Visual Basic language in CATIA V5 environment. Automation Process is Based on Parametric Modeling Method. and it was found to be effective in reducing design time compared to designers manual modeling.

Analysis of Construction Accident Incident Using Latent Dirichlet Allocation-based Topic Modeling (잠재 디리클레 할당 기반 토픽 모델링을 통한 건설재해 사례 분석)

  • Kim, Changjae;Kim, Harim;Lee, Changsu;Cho, Hunhee
    • Proceedings of the Korean Institute of Building Construction Conference
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    • 2022.04a
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    • pp.31-32
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    • 2022
  • The construction industry has more safety accidents than other industries. Although there have been more attempts to reduce safety hazards in the industry such as the enforcement of the "Serious Accidents Punishment Act (SAPA)", construction accident has not been reduced enough. In this study, analysis of safety risk factors has been made through Latent Dirichlet Allocation (LDA)-based topic modeling. Risk analysis in construction site would be improved with natural language processing and topic modeling.

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A Feature Based Modeling System for the Design of Welded Plate Construction (용접판 구조물의 설계를 위한 Feature 기반 모델링 시스템)

  • Kim, Dong-Won;Yang, Sung-Mo;Choi, Jin-Seob
    • Journal of the Korean Society for Precision Engineering
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    • v.10 no.4
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    • pp.30-41
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    • 1993
  • Developed in this paper is a feature based modeling system for the design of welded plat construction(WPC) which is composed of flat or bended plates represented as reference plane with a constant thickness. First, the necessity and the characteristics of the modeing system for WPC as compared with the assembly of mechanical parts are investigated. Secondly, feature library for the assembly of WPC is shown which contains several types of features like joint feature, groove feature, material feature, and precision feature. Thirdly, the assembly procedures are presented which mainly consist of both the assembly transformation and the correct assembly checking. Fourthly, weld lines of the assembled WPC are defined so that those can be used in the process planning or the manufacturing stage. Finally, a prototype by a geometric modeling software Pro/Engineer, a graphic software GL(Graphic Library), and C language on a CAD workstation IRIS.

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A Consistency Validation of Database Constraints Using OCL (OCL을 사용한 데이터베이스 제약사항 일관성 확인)

  • 박찬호;최윤석;정기원
    • Proceedings of the Korean Information Science Society Conference
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    • 2004.10b
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    • pp.454-456
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    • 2004
  • 데이터베이스에 대한 제약사항들은 소프트웨어의 개발 및 사용에 있어 개발자와 사용자가 모두 참고해야 하는 중요한 사항임에도 불구하고 데이터베이스 모델링괴 소프트웨어 모델링의 불일치 및 표현 방법의 차이로 인해, 일관성 있는 제약사항 명세 및 설계에 많은 어려움을 겪어왔다. OCL(Object Constraint Language)은 객체의 제약사항을 표현하는 언어로서 UML(Unified Modeling Language)의 일부분이다. 본 논문은 객체의 제악사항을 표현하는데 사용하던 OCL을 데이터베이스의 제악사항을 설계에 일관성 있게 표현, 반영하기 위하여 사용하는 기법을 제시하고, 이에 대한 검증을 수행하는 방법에 대한 연구이다. 본 논문에서는 요구사항에서 추출한 데이터베이스의 제악사항을 정의한 규칙에 따라 추출해내고, 이를 OCL의 표현법을 이용하여 정형적으로 표현한다. 그리고 그 OCL의 형식적 표현을 ODL(Object Description Language)로 정의하는 기법을 정의함으로서 이에 대한 일관성 검증을 수행하는 기법을 제안한다.

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Spontaneous Speech Language Modeling using N-gram based Similarity (N-gram 기반의 유사도를 이용한 대화체 연속 음성 언어 모델링)

  • Park Young-Hee;Chung Minhwa
    • MALSORI
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    • no.46
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    • pp.117-126
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    • 2003
  • This paper presents our language model adaptation for Korean spontaneous speech recognition. Korean spontaneous speech is observed various characteristics of content and style such as filled pauses, word omission, and contraction as compared with the written text corpus. Our approaches focus on improving the estimation of domain-dependent n-gram models by relevance weighting out-of-domain text data, where style is represented by n-gram based tf/sup */idf similarity. In addition to relevance weighting, we use disfluencies as Predictor to the neighboring words. The best result reduces 9.7% word error rate relatively and shows that n-gram based relevance weighting reflects style difference greatly and disfluencies are good predictor also.

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Implementation of Korean TTS System based on Natural Language Processing (자연어 처리 기반 한국어 TTS 시스템 구현)

  • Kim Byeongchang;Lee Gary Geunbae
    • MALSORI
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    • no.46
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    • pp.51-64
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    • 2003
  • In order to produce high quality synthesized speech, it is very important to get an accurate grapheme-to-phoneme conversion and prosody model from texts using natural language processing. Robust preprocessing for non-Korean characters should also be required. In this paper, we analyzed Korean texts using a morphological analyzer, part-of-speech tagger and syntactic chunker. We present a new grapheme-to-phoneme conversion method for Korean using a hybrid method with a phonetic pattern dictionary and CCV (consonant vowel) LTS (letter to sound) rules, for unlimited vocabulary Korean TTS. We constructed a prosody model using a probabilistic method and decision tree-based method. The probabilistic method atone usually suffers from performance degradation due to inherent data sparseness problems. So we adopted tree-based error correction to overcome these training data limitations.

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A Design and Implementation of SOAP-EJB Based Collaboration Supporting System (SOAP-EJB 기반 협업 지원 시스템의 UML에 의한 설계 및 구현)

  • Kim, Hyeong-Seon;Lee, Ju-Haeng;Kim, Hyun;Lee, Jae-Yeol
    • Proceedings of the Korean Operations and Management Science Society Conference
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    • 2001.10a
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    • pp.318-321
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    • 2001
  • A collaboration supporting system, which enables multi-user collaboration and communication in Internet environment, is being a new indispensable tool to compete and collaborate with business peers. A collaboration supporting system in distributed environment requires scalable and open system architecture to rapidly deploy a new technology and trends. In this paper, we propose such a collaboration supporting system where communication API is using XMI(Extended Markup Language)-based SOAP(Simple Object Access Protocol)protocols, which is independent on programming language and platform. In our system, sever components are developed with EJB(Enterprise Java Beans). System analysis, design, and development are based on UML(Unified Modeling Language).

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Developing the forest classification technique in Namjeju area using high resolution satellite images and SML (Spatial Modeling Language) (고해상도 위성영상과 SML을 이용한 남제주 지역의 임상분류 기법 개발)

  • Jo Myung-Hee;Jo Yun-Won;Kim Sung-Jae;Song Wan-Young;Chung Young-Kyo
    • Proceedings of the KSRS Conference
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    • 2006.03a
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    • pp.359-364
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    • 2006
  • 최근 GIS를 비롯한 공간정보기술의 눈부신 발전으로 국토전반에 대한 정보화와 과학적인 관리기법이 확산되고 있다. 이에 효율적인 산림관리를 위하여 위성영상과 지리정보시스템을 이용한 산림정보가 구축되고 있으나, 산림지역이라는 지리특성상 현장 출입이 제한적이고 위험하여 정보수집에 어려움이 있다. 본 연구에서는 효율적인 산림정보구축을 위하여 남제주군을 대상으로 고해상도 위성영상과 공간정보추출언어인 SML(Spatial Modeler Language)을 이용하여 다양한 모델별 산림지역의 임상정보를 추출, 임상분류를 위한 모델링 기법을 개발하였다. 또한 l/5,000도엽을 기준으로 표본점을 배치하고 임상, 하층식생, 입지 및 토양에 대한 현지조사를 수행하였으며, 추출자료와의 상관성 분석 및 검증을 통하여 공간정보 기술을 이용한 산림정보 구축의 기반을 마련하고자 하였다.

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Language Modeling based on Inter-Word Dependency Relation (단어간 의존관계에 기반한 언어모델링)

  • Lee, Seung-Mi;Choi, Key-Sun
    • Annual Conference on Human and Language Technology
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    • 1998.10c
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    • pp.239-246
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    • 1998
  • 확률적 언어모델링은 일련의 단어열에 문장확률값을 적용하는 기법으로서 음성인식, 확률적 기계번역 등의 많은 자연언어처리 응용시스템의 중요한 한 요소이다. 기존의 접근방식으로는 크게 n-gram 기반, 문법 기반의 두가지가 있다. 일반적으로 n-gram 방식은 원거리 의존관계를 잘 표현 할 수 없으며 문법 기반 방식은 광범위한 커버리지의 문법을 습득하는데에 어려움을 가지고 있다. 본 논문에서는 일종의 단순한 의존문법을 기반으로 하는 언어모델링 기법을 제시한다. 의존문법은 단어와 단어 사이의 지배-피지배 관계로 구성되며 본 논문에서 소개되는 의존문법 재추정 알고리즘을 이용하여 원시 코퍼스로부터 자동적으로 학습된다. 실험 결과, 제시된 의존관계기반 모델이 tri-gram, bi-gram 모델보다 실험코퍼스에 대해서 약 11%에서 11.5%의 엔트로피 감소를 보임으로써 성능의 개선이 있었다.

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