• 제목/요약/키워드: Translation speed

검색결과 96건 처리시간 0.026초

XML 기반 EDI 문서 처리 시스템 (XML-Based EDI Document Processing System)

  • 조휘경;진성근;정회경
    • 한국정보통신학회논문지
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    • 제16권4호
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    • pp.829-834
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    • 2012
  • 본 논문에서는 XML에 기반한 EDI 전자문서를 처리하기 위한 시스템에 관한 것이다. XML에 기반한 EDI 전자문서로 변환 시에 스크립트 파일을 사용하지 않고, 문서를 읽고 쓸 때 바이너리 형식의 전자문서 처리기인 문서 스캐너와 매퍼를 설계 및 구현 하였다. 또한, 그래픽적으로 전자문서간의 변환 룰을 정의하는 매핑 툴을 설계 및 구현하였다. 따라서, 본 논문에서 제안하고 있는 XML에 기반한 EDI 전자문서 처리 시스템은 XML 특성이 갖는 장점을 가지며 기존 EDI 전자문서 처리 시스템에 비해 속도 개선 및 사용의 편의성, 시스템에 대한 이식성 등이 뛰어나 B2B 게이트웨이 시스템으로 널리 활용될 것이다.

데이터플로우 그래프 표현 방식을 이용한 함수 논리 언어의 실행 (Execution of a functional Logic language using the Dataflow Graph Representation)

  • 김용준;전서현
    • 한국정보처리학회논문지
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    • 제5권9호
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    • pp.2435-2446
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    • 1998
  • 본 논문에서는 함수 논리 언어를 수행할 수 있는 데이터 플로우 표현 방법을 제시하고 함수 논리 언어의 각 결과 함수를 데이터플로우 그래프로 변환하는 방법에 대해 설명한다. 실행의 효율성을 높이기 위해 AND-병렬성을 위한 종속성 분석을 서브고울과 병행 수행하여 지연시간을 줄였으며, 함수 부분의 수행을 위해 병렬 감축을 사용하였다. RAP을 도입함으로써 발생하는 지연시간을 줄이기 위해 종속성 분석과 서브 고울을 병렬로 처리함으로써 CGE+ 표현 방식에 비해 효율적임을 보였다. 지능형 퇴각 검색을 도입하여 병렬 컴퓨터에서 효율적인 수행을 할 수 있도록 하였다.

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He-Ne 레이저와 CCD 카메라를 이용한 비접촉 3차원 측정 (Noncontact 3-dimensional measurement using He-Ne laser and CCD camera)

  • 김봉채;전병철;김재도
    • 대한기계학회논문집A
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    • 제21권11호
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    • pp.1862-1870
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    • 1997
  • A fast and precise technique to measure 3-dimensional coordinates of an object is proposed. It is essential to take the 3-dimensional measurements of the object in design and inspection. Using this developed system a surface model of a complex shape can be constructed. 3-dimensional world coordinates are projected onto a camera plane by the perspective transformation, which plays an important role in this measurement system. According to the shape of the object two measuring methods are proposed. One is rotation of an object and the other is translation of measuring unit. Measuring speed depending on image processing time is obtained as 200 points per second. Measurement resolution i sexperimented by two parameters among others; the angle between the laser beam plane and the camera, and the distance between the camera and the object. As a result of these experiments, it was found that measurement resolution ranges from 0.3mm to 1.0mm. This constructed surface model could be used in manufacturing tools such as rapid prototyping machine.

Intrusion Detection: Supervised Machine Learning

  • Fares, Ahmed H.;Sharawy, Mohamed I.;Zayed, Hala H.
    • Journal of Computing Science and Engineering
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    • 제5권4호
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    • pp.305-313
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    • 2011
  • Due to the expansion of high-speed Internet access, the need for secure and reliable networks has become more critical. The sophistication of network attacks, as well as their severity, has also increased recently. As such, more and more organizations are becoming vulnerable to attack. The aim of this research is to classify network attacks using neural networks (NN), which leads to a higher detection rate and a lower false alarm rate in a shorter time. This paper focuses on two classification types: a single class (normal, or attack), and a multi class (normal, DoS, PRB, R2L, U2R), where the category of attack is also detected by the NN. Extensive analysis is conducted in order to assess the translation of symbolic data, partitioning of the training data and the complexity of the architecture. This paper investigates two engines; the first engine is the back-propagation neural network intrusion detection system (BPNNIDS) and the second engine is the radial basis function neural network intrusion detection system (BPNNIDS). The two engines proposed in this paper are tested against traditional and other machine learning algorithms using a common dataset: the DARPA 98 KDD99 benchmark dataset from International Knowledge Discovery and Data Mining Tools. BPNNIDS shows a superior response compared to the other techniques reported in literature especially in terms of response time, detection rate and false positive rate.

벨형 퍼지 소속함수를 적용한 ANFIS 기반 퍼지 웨이브렛 신경망 시스템의 연구 (A Study on Fuzzy Wavelet Neural Network System Based on ANFIS Applying Bell Type Fuzzy Membership Function)

  • 변오성;조수형;문성용
    • 대한전자공학회논문지TE
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    • 제39권4호
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    • pp.363-369
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    • 2002
  • 본 논문은 적응성 뉴로-퍼지 인터페이스 시스템(Adaptive Neuro-Fuzzy Inference System : ANFIS)과 웨이브렛 변환 다중해상도 분해(multi-resolution Analysis : MRA)을 기반으로 한 웨이브렛 신경망을 가지고 임의의 비선형 함수 학습 근사화를 개선하는 것이다. ANFIS 구조는 벨형 퍼지 소속 함수로 구성이 되었으며, 웨이브렛 신경망은 전파 알고리즘과 역전파 신경망 알고리즘으로 구성되었다. 이 웨이브렛 구성은 단일 크기이고, ANFIS 기반 웨이브렛 신경망의 학습을 위해 역전파 알고리즘을 사용하였다. 1차원과 2차원 함수에서 웨이브렛 전달 파라미터 학습과 ANFIS의 벨형 소속 함수를 이용한 ANFIS 모델 기반 웨이브렛 신경망의 웨이브렛 기저 수 감소와 수렴 속도 성능이 기존의 알고리즘 보다 개선되었음을 확인하였다.

Development of a 2D isoparametric finite element model based on the layerwise approach for the bending analysis of sandwich plates

  • Belarbia, Mohamed-Ouejdi;Tatib, Abdelouahab;Ounisc, Houdayfa;Benchabane, Adel
    • Structural Engineering and Mechanics
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    • 제57권3호
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    • pp.473-506
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    • 2016
  • The aim of this work is the development of a 2D quadrilateral isoparametric finite element model, based on a layerwise approach, for the bending analysis of sandwich plates. The face sheets and the core are modeled individually using, respectively, the first order shear deformation theory and the third-order plate theory. The displacement continuity condition at the interfaces 'face sheets-core' is satisfied. The assumed natural strains method is introduced to avoid an eventual shear locking phenomenon. The developed element is a four-nodded isoparametric element with fifty two degrees-of-freedom (52 DOF). Each face sheet has only two rotational DOF per node and the core has nine DOF per node: six rotational degrees and three translation components which are common for the all sandwich layers. The performance of the proposed element model is assessed by six examples, considering symmetric/unsymmetric composite sandwich plates with different aspect ratios, loadings and boundary conditions. The numerical results obtained are compared with the analytical solutions and the numerical results obtained by other authors. The results indicate that the proposed element model is promising in terms of the accuracy and the convergence speed for both thin and thick plates.

교량-AGT 차량 상호작용에 의한 교량의 동적응답 (Dynamic Response Analysis of Bridge-AGT Vehicle Interaction System)

  • 김현호;나상주;송재필
    • 한국철도학회논문집
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    • 제9권5호
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    • pp.561-568
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    • 2006
  • Dynamic equations of motion for the interaction system of bridge and vehicle are derived to investigate the dynamic responses of bridge and vehicles induced by moving automated guide-way transit(AGT) vehicle and surface roughness of bridge. The vehicle model for ACT vehicle is idealized as 11 DOF including yawing, lateral translation and steering of wheels, and the bridges are modeled with finite element method. The AGT vehicle model was verified by experimental study. Parametric studies are carried out to investigate the effect of vehicle speed, surface roughness, stiffness and damping of the suspension system, AGT vehicles and dynamic wheel loads of the AGT vehicles. From the parametric study it can be seen that the dynamic incremental factor of the bridge and dynamic responses of vehicles have a tendency to increase with vehicle speeds, surface roughness and the stiffness of AGT vehicle suspension system. On the other hand those dynamic wheel loads have tendencies to decrease in according to increase of damping of the suspension system.

마스트 캠에 의한 컨쥬게이트 캠의 설계 및 가공에 관한 연구 (A Study on Design and Machining of Conjugate Cam on the Basis of Master Cam)

  • 조현덕
    • 한국기계가공학회지
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    • 제2권2호
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    • pp.52-59
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    • 2003
  • Cam mechanism is a machine part frequently used in machinery. Specially, conjugate cam mechanism is very suitable for the high speed working and the heavy power translation. Then a conjugate cam mechanism need high precision for the relations between cam profiles and follower rollers. So, its design and manufacturing are very difficult. Thus, this study is a branch of exclusive CAM systems for design and NC machining of conjugate earn mechanism based on a master plate earn profile in order to exchange an old plate cam mechanism to a new conjugate earn mechanism. For the design of the other cam profile by using a master cam profile, some calculation processes were used by vector summation methods, from master cam profile data to the center data of master follower, from the center data of master follower to the center data of the other follower considered in link mechanism, and offsetting in the center direction of base circle of the other cam from the center data of the other follower. Finally, a sample conjugate cam was selected and machined m order to prove the contents of this study.

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변조방식에 따른 OFDM 무선통신 시스템의 성능평가 (Performance of OFDM wireless communication system for modulation techniques)

  • 김창선;김성곤;변건식
    • 한국정보통신학회:학술대회논문집
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    • 한국해양정보통신학회 2001년도 춘계종합학술대회
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    • pp.741-744
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    • 2001
  • OFDM 방식은 전통적인 단일 반송파 전송방식과는 달리 전송할 데이터를 병렬적으로 변조하여 주어진 다중전송채널에 다수의 반송파를 실어보내므로 고속의 데이터전송을 수행하고 주파수를 직교적으로 오버랩 시킴으로써 높은 스펙트럼 효율을 제공할 수 있어 여러 분야에서 적용되고 있으며 계속해서 연구되고 있다. 본 논문에서는 컴퓨터 시뮬레이션을 통해서 변조방식에 따른 OFDM 무선통신시스템의 성능을 평가하였으며 변조방식으로서는 M-PSK, M-QAM을 사용하였다. 시뮬레이션은 다중로지연확산, 가우시안채널잡음, Peak Power Clipping, Frame Start Time Error 등이 포함된 가상의 채널환경과 실제채널환경에서 적용되었다. 시뮬레이션 결과 OFDM 시스템에서의 변조방식으로는 M-QAM 방식이 M-PSK 방식보다 우수함을 확인하였다.

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영상처리를 이용한 Mark 판독 기법에 관한 연구 (A Study on the Mark Reader Using the Image Processing)

  • 김승호;김범진;이용구;노도환
    • 제어로봇시스템학회:학술대회논문집
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    • 제어로봇시스템학회 2000년도 제15차 학술회의논문집
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    • pp.83-83
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    • 2000
  • Recently, Vision system has being used all around industry. Sensor systems are used for Mark Reader, for example, optical scanning is proximity sensor system, have many disadvantages, such as, lacking user interface and difficulty to store original specimens. In contrast with this, Vision systems for Mark Reader has many advantages, including function conversion to achieve other work, high accuracy, high speed, etc. In this thesis, we have researched the development of Mark Reader by using a Vision system. The processing course of this s)'stem is consist to Image Pre-Processing such as noise reduction, edge detection, threshold processing. And then, we have carried out camera calibration to calibrate images which are acquired from camera. After searching for reference point within scanning area(60pixe1${\times}$30pixe1), we have calculated points crossing by using line equations. And then, we decide to each ROI(region of interest) which are expressed by four points. Next we have converted absolute coordinate into relative coordinate for analysis a translation component. Finally we carry out Mark Reading with images classified by six patterns. As a result of experiment which follows the algorithm has proposed, we have get error within 0.5% from total image.

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