• Title/Summary/Keyword: automatic pre-processor

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Pre-processor for Building Structural Analysis by CAD system (CAD를 이용한 건축구조해석용 Pre-processor 구축)

  • 고일두;송석환
    • Proceedings of the Computational Structural Engineering Institute Conference
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    • 1992.10a
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    • pp.112-120
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    • 1992
  • The use of Pre-processor for building structural analysis used to rely upon filling up fixed format data, which was ineffective and error-prone. This research attempts to integrate structural analysis system with DBMS and CAD system in order to make it easy to exchange data between pre-process, analysis, and post-process stages. Automatic generation of database from pre-process stage allows easy preparation of main input data for other structural analysis programs. CAD system with some sub-programs written in LISP and C works as a graphic user interface. This approach gives an easy, effective and error-free way of inputing data for structural analysis.

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Design and Efficiency Characteristic Test of 340W Home Appliance Synchronous Reluctance Motor (가전용 340W급 동기형 릴럭턴스 전동기 설계 및 효율특성 실험)

  • 이중호
    • The Transactions of the Korean Institute of Electrical Engineers B
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    • v.52 no.2
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    • pp.39-52
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    • 2003
  • This paper deals with an automatic design procedure for the maximum torque density and power factor in a synchronous reluctance motor (SynRM). The focus of this paper is the design relative to the number of flux barrier and the ratio Kw of flux barrier width to iron sheet width of a SynRM under the mechanical constraint. The Finite Elements Analysis (FEA) has been used to evaluate the maximum torque density and power factor with each rotor shape. The proposed procedure allows to define the rotor geometric dimensions starling from an existing mootor or a preliminary design. The maximum torque density and power factor of a SynRM has been resulted with the rotor design variation. To prove the propriety of the designed SynRM, the Digital Signal Processor (DSP) installed experimental devices are equipped and the efficiency characteristic test is Performed.

A Single Channel Speech Enhancement for Automatic Speech Recognition

  • Lee, Jinkyu;Seo, Hyunson;Kang, Hong-Goo
    • Proceedings of the Korean Society of Broadcast Engineers Conference
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    • 2011.07a
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    • pp.85-88
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    • 2011
  • This paper describes a single channel speech enhancement as the pre-processor of automatic speech recognition system. The improvements are based on using optimally modified log-spectra (OM-LSA) gain function with a non-causal a priori signal-to-noise ratio (SNR) estimation. Experimental results show that the proposed method gives better perceptual evaluation of speech quality score (PESQ) and lower log-spectral distance, and also better word accuracy. In the enhancement system, parameters was turned for automatic speech recognition.

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Automatic Optical Inspection System for Holograms with Multiple Patterns (다중패턴 홀로그램을 위한 자동광학검사 시스템)

  • Kwon, Hyuk-Joong;Park, Tae-Hyoung
    • Journal of Institute of Control, Robotics and Systems
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    • v.15 no.5
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    • pp.548-554
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    • 2009
  • We propose an automatic inspection system for hologram with multiple patterns. The system hardware consists of illuminations, camera, and vision processor. Multiple illuminations using LEDs are arranged in different directions to acquire each image of patterns. The system software consists of pre-processing, pattern generation, and pattern matching. The acquired images of input hologram are compared with their reference patterns by developed matching algorithm. To compensate for the positioning error of input hologram, reference patterns of hologram for different position should be generated in on-line. We apply a frequency transformation based CGH(computer-generated hologram) method to generate reference images. For the fast pattern matching, we also apply the matching method in the frequency domain. Experimental results for hologram of Korean currency are then presented to verify the usefulness of proposed system.

Development of Expert System for Tower Cranes

  • Kim, Ki-sung;Kang, Dong-gil;Hong, Ki-sup
    • Journal of Ship and Ocean Technology
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    • v.3 no.2
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    • pp.27-48
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    • 1999
  • The paper is concerned with application to develop the expert system, which structural analysis and design process for tower cranes. The system is organized into three groups. One is pre-processor for creating input data files, another is `model former' which combines knowledge-base with inference engine for automatic generating structural analysis models, a third is application group for final analysis checks. In this study, geometric subroutine of `model former' designates node positions, nodes, elements numbers and element types. Load data subroutine computes weight of tower crane and device, slewing force, cargo load, wind force form rules or equations in knowledge-base. Also, Property and boundary subroutine applies element properties and boundary conditions to suitable elements and nodes. Design and analysis expert system for tower crane integrates these subroutine, `model former' and pre-processor. RBR(Rule-Base Reasoning) was adopted for a reasoning strategy of this expert system. And this expert system can produce structural analysis model and data, which can be used in ordinary structural analysis program (SAP, ADINA or NASTRAN, etc.). In this paper, this expert system produces format of the analysis model data, which are used in MSC/NASTRAN. The main discussions included in the paper are introduction of the tower crane and structural analysis, composition of the design expert system for tower crane and structural analysis using the expert system.

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A Study on the Data Extraction and Formalization for the Generation of Structural Analysis Model from Ship Design Data (선체 구조설계로부터 구조해석 모델 생성에 필요한 데이타의 추출과 정형화에 관한 연구)

  • Jae-Hwan Lee;Yong-Dae Kim
    • Journal of the Society of Naval Architects of Korea
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    • v.30 no.3
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    • pp.90-99
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    • 1993
  • As the finite element method has become a considerable and effective design tool in ship structural analysis, modeling of three dimensional finite element mesh is more necessary than before. However, the unique style and complexity of a ship usually make the modeling be hard and costly. Although most pre-processor of FEM software and geometric modeler provides modeling function, the capability is quite limited for complicated structure. In order to perform FEM modeling quickly, it is necessary to extract, rearrange, and formalize data from ship design database for partially automatic mesh generation. In this paper, the process of designing relational data tables from design data is shown as a part of analysis automation with the application of engineering database concept.

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Human face segmentation using the ellipse modeling and the human skin color space in cluttered background (배경을 포함한 이미지에서 타원 모델링과 피부색정보를 이용한 얼굴영역추출)

  • 서정원;송문섭;박정희;안동언;정성종
    • Proceedings of the IEEK Conference
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    • 1999.06a
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    • pp.421-424
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    • 1999
  • Automatic human face detection in a complex background is one of the difficult problems In this paper. we propose an effective automatic face detection system that can locate the face region in natural scene images when the system is used as a pre-processor of a face recog- nition system. We use two natural and powerful visual cues, the color and the human head shape. The outline of the human head can be generally described as being roughly elliptic in nature. In the first step of the proposed system, we have tried the approach of fitting the best Possible ellipse to the outline of the head In the next step, the method based on the human skin color space by selecting flesh tone regions in color images and histogramming their r(=R/(R+G+B)) and g(=G/R+G+B)) values. According to our experiment. the proposed system shows robust location results

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Detection of human faces using skin color and eye feature (피부색과 눈요소 정보를 이용한 얼굴영역 검출)

  • 서정원;박정희;송문섭;윤후병;황호전;김법균;두길수;안동언;정성종
    • Proceedings of the IEEK Conference
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    • 1999.11a
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    • pp.531-535
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    • 1999
  • Automatic human face detection in a complex background is one of the difficult problems. In this paper, we propose an effective and robust automatic face detection approach that can locate the face region in natural scene images when the system is used as a pre-processor of a face recognition system . We use two natural and powerful visual cues, the skin color and the eyes. In the first step of the proposed system, the method based on the human skin color space by selecting flesh tone regions using normalized r-g space in color images. In the next step, we extract eye features by calculating moments and using geometrical face model. Experimental results demonstrate that the approach can efficiently detect human faces and satisfactory deal with the problems caused by bad lighting condition, skew face orientation.

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A Study on Object-Oriented Preprocessing Program for Finite Element Structural Analysis (유한요소 구조해석을 위한 객체지향 전처리 프로그램에 관한 연구)

  • 신영식;서진국;송준엽;우광성
    • Proceedings of the Computational Structural Engineering Institute Conference
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    • 1994.04a
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    • pp.25-32
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    • 1994
  • The pre-processor for finite to element structural analysis considering the user-friendly device is developed by using GUI. This can be used on WINDOWS' environment which is realized the multi-tasking and the concurrency by object-oriented paradigm. Data input can be done easily through menu, dialog box, automatic stepwise input and concurrent representation with the structural geometry on multiple windows. It in designed to control integratedly the pre-processing, execution and the post-processing of the finite element structural analysis program on multiple windows, and input data can be seen with result outputs at the same time. In addition, the object-oriented programming environment makes convenient revision and addition of the program components for expanding the scope of analysis and making better user environment.

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Implementation of DSP Embedded Number-Braille Conversion Algorithm based on Image Processing (DSP 임베디드 숫자-점자 변환 영상처리 알고리즘의 구현)

  • Chae, Jin-Young;Darshana, Panamulle Arachchige Udara;Kim, Won-Ho
    • Journal of Satellite, Information and Communications
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    • v.11 no.2
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    • pp.14-17
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    • 2016
  • This paper describes the implementation of automatic number-braille converter based on image processing for the blind people. The algorithm is consists of four main steps. First step is binary image conversion of the input image obtained by the camera. the second step is segmentation operation by means of dilation and labelling of the character. Next step is calculation of cross-correlation between segmented text image and pre-defined text-pattern image. The final step is generation of brail output which is relevant to input image. The computer simulation result was showing 91.8% correct conversion rate for arabian numbers which is printed in A4-sheet and practical possibility was also confirmed by using implemented automatic number-braille converter based on DSP image processing board.