• 제목/요약/키워드: accuracy improvement

검색결과 2,415건 처리시간 0.035초

외관 검사의 정확도 개선을 위한 멱함수 변환 기법 개발 (Power-Law Transformation Method Development for Accuracy Improvement of Appearance Inspection)

  • 박세혁;강수민;허경무
    • 대한전기학회:학술대회논문집
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    • 대한전기학회 2007년도 심포지엄 논문집 정보 및 제어부문
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    • pp.11-13
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    • 2007
  • The appearance inspection of various electronic products and parts has been executed by the eyesight of human. But inspection by eyesight can't bring about uniform inspection result. Because the appearance inspection result by eyesight of human is changed by condition of physical and spirit of the checker. So machine vision inspection system is currently used to many appearance inspection fields instead of the checker. However the inspection result of machine vision is changed by the illumination of workplace. Therefore we have used a power-law transformation in this paper. for improvement of vision inspection accuracy and could increase inspection accuracy of vision system. Also this system has been developed only using PC, CCD Camera and Visual C++ for universal workplace.

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방향탐지 정확도 개선을 위한 안테나 전면판 설계에 관한 연구 (A Study on the Antenna Front Plate Design for the Improvement of DF Accuracy)

  • 김인선;신임섭
    • 한국군사과학기술학회지
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    • 제14권4호
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    • pp.669-675
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    • 2011
  • In this paper, we present the AFP(antenna front plate)s which were designed to reduce the reflection for the sake of the improvement of DF(direction finding) accuracy. The AFP consists of front plate, absorber and radome. The AFPs were optimized respectively by real test and we performed the DF test using our AFPs in laboratory. The DF test shows that the DF accuracy is about 2 times better than the requirement capability. Then, the DF field test was executed using the AFPs, which were installed in helicopter in consideration of the reflection by platform. The result of the DF field test is superior to the requirement capability also, which shows the validity of our design method.

CNC 공작기계의 위치결정 정밀도 향상에 관한 연구 (An Improvement of Positioning Accuracy for CNC Machine Tools)

  • 전언찬;광전강굉;제정신;남궁척
    • 한국정밀공학회지
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    • 제11권6호
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    • pp.5-11
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    • 1994
  • We have investigated the variation of dwell and warm-up time for effects of positioning accuracy of the CNC machine tools with an laser measuring system. Also, we strdied the effect of improvement of the positioning accuracy by variation of the temperature for hollow ball screw, which mostly used as drive mechanism of CNC machine tools. We dbtained the effectiveness of cooling effect of the new cooling system, compared with the conventional cooling system.

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광경화성 수지의 온도 제어에 의한 광조형물의 형상 정밀도 향상 (Progress of the StereoLithography Product's Shape Accuracy by Temperature Control of the Resin)

  • 김성환;이은덕;백인환
    • 한국정밀공학회:학술대회논문집
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    • 한국정밀공학회 2000년도 춘계학술대회 논문집
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    • pp.808-811
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    • 2000
  • The product of stereolithography is consist of gathering the single strand. Therefore the accuracy of the shape is related to the linear shrinkage of the single strand. The resin temperature change affect on curing properties. This article will propose the interaction between material temperature and shape accuracy by resin temperature control. The main concern of this article is related to the improvement of end product's shape accuracy by the persuit for the filles curing criterion.

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Improvement of Vocal Detection Accuracy Using Convolutional Neural Networks

  • You, Shingchern D.;Liu, Chien-Hung;Lin, Jia-Wei
    • KSII Transactions on Internet and Information Systems (TIIS)
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    • 제15권2호
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    • pp.729-748
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    • 2021
  • Vocal detection is one of the fundamental steps in musical information retrieval. Typically, the detection process consists of feature extraction and classification steps. Recently, neural networks are shown to outperform traditional classifiers. In this paper, we report our study on how to improve detection accuracy further by carefully choosing the parameters of the deep network model. Through experiments, we conclude that a feature-classifier model is still better than an end-to-end model. The recommended model uses a spectrogram as the input plane and the classifier is an 18-layer convolutional neural network (CNN). With this arrangement, when compared with existing literature, the proposed model improves the accuracy from 91.8% to 94.1% in Jamendo dataset. As the dataset has an accuracy of more than 90%, the improvement of 2.3% is difficult and valuable. If even higher accuracy is required, the ensemble learning may be used. The recommend setting is a majority vote with seven proposed models. Doing so, the accuracy increases by about 1.1% in Jamendo dataset.

CNC LATHE 성능개선을 위한 검사방법에 대한 연구 (Study on the Inspection Guidelines for Performance Improvement of CNC Lathe)

  • 김봉훈;윤재웅;강병한
    • 한국산업정보학회:학술대회논문집
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    • 한국산업정보학회 2009년도 춘계학술대회 미래 IT융합기술 및 전략
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    • pp.179-183
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    • 2009
  • 본 연구는 공작기계중 대표적인 CNC LATHE의 검사항목에 관한 문헌연구를 통하여 기초 정밀도 개선 부품 적용 및 정적, 동적 정밀도 보정을 위한 기초 자료를 제시 한다. 그리고 공작기계의 기본 성능과 검사항목과의 관계를 정량적으로 연구하여 각 항목별 허용치를 제시함으로 고품질의 제품을 생산할 수 있는 데이터베이스와 관련 지침을 소개한다.

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치수인자를 이용한 특수 인쇄 배선기판의 품질향상에 관한 연구 (A Study on the Quality Improvement of Special Printed Wire Board Using Scale Factor)

  • 전영호
    • 품질경영학회지
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    • 제22권4호
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    • pp.152-159
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    • 1994
  • A study of improvement of printing accuracy of special PCB has been carried out by applying the corrected data of laminate dimensional variation to real products. The result of this study improved the accuracy of product by decreasing the deviation between design specifications and end products. This paper will be useful when PCB manufacturers using paper phenol laminates make preparation for customer's needs, more complicated specifications. And so, it will be successful for image renovation of any company by assuring the reliabilities to customers.

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Comparison of accuracy of breeding value for cow from three methods in Hanwoo (Korean cattle) population

  • Hyo Sang Lee;Yeongkuk Kim;Doo Ho Lee;Dongwon Seo;Dong Jae Lee;Chang Hee Do;Phuong Thanh N. Dinh;Waruni Ekanayake;Kil Hwan Lee;Duhak Yoon;Seung Hwan Lee;Yang Mo Koo
    • Journal of Animal Science and Technology
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    • 제65권4호
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    • pp.720-734
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    • 2023
  • In Korea, Korea Proven Bulls (KPN) program has been well-developed. Breeding and evaluation of cows are also an essential factor to increase earnings and genetic gain. This study aimed to evaluate the accuracy of cow breeding value by using three methods (pedigree index [PI], pedigree-based best linear unbiased prediction [PBLUP], and genomic-BLUP [GBLUP]). The reference population (n = 16,971) was used to estimate breeding values for 481 females as a test population. The accuracy of GBLUP was 0.63, 0.66, 0.62 and 0.63 for carcass weight (CWT), eye muscle area (EMA), back-fat thickness (BFT), and marbling score (MS), respectively. As for the PBLUP method, accuracy of prediction was 0.43 for CWT, 0.45 for EMA, 0.43 for MS, and 0.44 for BFT. Accuracy of PI method was the lowest (0.28 to 0.29 for carcass traits). The increase by approximate 20% in accuracy of GBLUP method than other methods could be because genomic information may explain Mendelian sampling error that pedigree information cannot detect. Bias can cause reducing accuracy of estimated breeding value (EBV) for selected animals. Regression coefficient between true breeding value (TBV) and GBLUP EBV, PBLUP EBV, and PI EBV were 0.78, 0.625, and 0.35, respectively for CWT. This showed that genomic EBV (GEBV) is less biased than PBLUP and PI EBV in this study. In addition, number of effective chromosome segments (Me) statistic that indicates the independent loci is one of the important factors affecting the accuracy of BLUP. The correlation between Me and the accuracy of GBLUP is related to the genetic relationship between reference and test population. The correlations between Me and accuracy were -0.74 in CWT, -0.75 in EMA, -0.73 in MS, and -0.75 in BF, which were strongly negative. These results proved that the estimation of genetic ability using genomic data is the most effective, and the smaller the Me, the higher the accuracy of EBV.

애널로그 속도제어계의 제어정도를 향상하기 위한 디지털제어기의 설계 (On the Design of Digital Sub-Controller for Accuracy Improvement of Analog Speed Control System)

  • 한세희
    • 대한전기학회:학술대회논문집
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    • 대한전기학회 1988년도 추계학술대회 논문집 학회본부
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    • pp.36-41
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    • 1988
  • Analog and Digital Speed Control Systems have mutually complementary properties. Analog System has good dynamic characteristics and moderate steady-state accuracy and can be implemented economically with operational a ampliers. Digital System, on the contray, has good static accuracy, but relatively poor dynamic property. So, a hybrid system which uses both digital and analog control can have good static and dynamic characteristics. In this paper, it is shown that a simple digital controller can improve steady-state accuracy of existing analog control system satisfactorily, and some design criteria are presented also.

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구면좌표계식 기구를 이용한 인공치아의 3차원 측정시스템 개발 (Development of 3D Measuring System for Artificial Pontic using Spherical Coordinate System Mechanism)

  • 맹희영;성봉현
    • 한국생산제조학회지
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    • 제19권4호
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    • pp.427-433
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    • 2010
  • With recent increased demand for reverse engineering in dental machining, the 3D laser scanner is widely used for inspection of artificial pontic. In order to overcome the optical drawback of laser scanner, such as irregular scatter, direction of beam, and the influence of surface integrity, it is developed in this study a new 3D measuring system for artificial pontic using spherical coordinate system mechanism by point laser sensor, which keeps the direction of beam normal to surface consistently. The comprehensive integrated system is established to evaluate the improvement of accuracy with data acquisition system. The experimental results for measuring a master ball and pontic models shows the excellent form accuracy and repeatability compared with conventional apparatus. Also, these results shows the possibility to apply this system for the measuring purpose within 0.05mm accuracy of pontic at the sharp edge or margin contour, which was difficult to measure at the conventional systems.