• Title/Summary/Keyword: 베이스라인

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The Development of Global Design Process (글로벌 디자인 프로세스 구축)

  • 김태호;홍정표;양종열;이유리;오민권;이건표
    • Archives of design research
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    • v.14 no.2
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    • pp.107-116
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    • 2001
  • Nowadays, The market environment is not static, but dynamic, it therefore requires global competition for the competitive advantage of product design in global market across boundaries. So if companies do not thoroughly understand core values, needs of consumers, and do not properly meet them, they cannot get the competitive advantage in global market for consumers. Therefore, the goal of this research is to develop a new design process for global markets through developing the on-line research analysis program and data-base. For this study, the researchers established a research framework associated with values, benefits and design attributes and developed a Global Design Process program through empirical researches. This research program is a upgraded system adapted to the digital period drastically.

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A Study on the 3D Injection Mold Design Using CATIA API (CATIA API를 이용한 사출 금형의 3차원 설계에 관한 연구)

  • 박주삼;김재현;박정환
    • Journal of the Korean Society for Precision Engineering
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    • v.20 no.12
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    • pp.115-125
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    • 2003
  • The design methodology of plastic injection molding die has been gradually moved from two-dimensional line drawings to three-dimensional solid models. The 3D design gives many benefits, a few of which are: ease of design change, data associativity from concept design to final assembly. In the paper represented is the implementation of a program which automatically generates 3D mold-bases and cooling-lines, conforming to given geometric constraints. It utilized a commercial CAD software and the related API(application program interface) libraries. We constructed a DB(database) of typical mold-bases assembled from standard parts, from which the geometry (position & dimension) of a mold-base and composed parts can be automatical]y determined by a few key parameters. Also we classified cooling lines into several typical types and constructed a DB, from which the position of cooling lines is automatically determined. The research is expected not only to simplify construction of a 3D mold-base model including cooling lines but also to reduce design efforts, by way of databases and automatized determination of geometric dimensions.

Development of Operation Aided System for Fault Diagnosis of Chemical Process (화학 공정의 이상 진단을 위한 조업 지원 시스템의 개발)

  • 모경주;정창욱;이기백;윤인섭
    • Journal of Intelligence and Information Systems
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    • v.2 no.1
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    • pp.11-26
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    • 1996
  • 본 논문에서는 화학공정의 이상 진단을 위한 지식 기반 조업 지원 시스템의 개발에 관하여 살펴보고자 한다. 조업지원 시스템에서 가장 핵심적인 부분은 공정에 비정상 상황이 발생한 경우 이를 감지하고, 공정에 발생한 증상들을 분석하여 이상의 근본 원인을 찾아내는 작업-이상 진단이다. 이상 진단을 효과적으로 수행하기 위해서는 적절한 데이터의 해석이 매우 중요한데, 기존의 데이터 해석법들은 정상상태에 기반한 방법들을 동적거동을 효과적으로 표현하기에는 어려움이 많다. 본 연구에서는 RBF에 기반한 신경망을 사용하여 동적을 효과적으로 표현할 수 있는 정성적인 데이터 해석 모듈을 구축하였으며, 이 모듈에서는 공정에서 측정된 정략적인 센서값들을 정성적인 정보로 가공하여 이상진단 모듈에 제공한다. 본 연구에서는 효과적인 이상진단을 위하여 기존의 인과관계 그래프 모델(Cause Effect DiGraph)에 기반한 두가지 그래프 모델을 개발하였다. RCED(Reduced Caue Effect Digraph)는 공정의 측정 변수만으로 공정의 인과관계를 표현하는 오프라인으로 구축된 지식베이스 모델이며, PGTT(Pattern Graph Through Time)는 공정에서 발생한 증상간의 인과관계를 실시간으로 나타내는 동적인 모델이다. 이상, 신경망에 기반한 정성적인 데이터 해석 모듈과 이상진단 모듈을 전문가 시스템 도구인 G2를 DEC AlphaStation 상에서 폴리프로필렌 공정에 대한 조업지원전문가 시스템을 구축하고 이를 적용하여보았다.

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Vision-based Real-time Velocity Detection Method (비젼 베이스 실시간 속도 검출 방법)

  • Kim Beom-Seok;Park Sung-Il;Ko Young-Hyuk
    • Proceedings of the Korean Institute of Information and Commucation Sciences Conference
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    • 2006.05a
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    • pp.301-304
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    • 2006
  • As is different from formerly used fixing camera method in this paper, proposed method that can measure the speed of vehicles and logarithm of vehicles in video. Vehicles that proposed method runs with 50km/h, 80km/h, 90km/h's the speed recording on Video Tape beginning point and time of reaching point draw, and calculated 47.57km/h, 81.20km/h, the 90.00km/h speed by time and distance, the tracking cars and the velocity detection in video with the 'begin-line mark' and the 'end-line mark' processing.

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Forensic Computing Model for Contents Protection on d-Commerce (디지털 상거래에서 컨텐츠 보호를 위한 법 적용 컴퓨팅 모델)

  • Hwang, Chul;Hwang, Dae-Joon
    • Proceedings of the Korea Information Processing Society Conference
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    • 2001.04a
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    • pp.433-436
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    • 2001
  • 지적 재산권 보호 중에서 디지털 상거래에서 가장 절실한 저작물 보호는 근래에 활발히 연구되고 있으며 법 과학 분야는 지문감식, 치아감정 DNA 등 많은 분야가 있다. 그러나 법과학 분야중 법적용 컴퓨팅(Forensic Computing)에 관한 응용은 아직 부족한 상태이다. 그중에도 디지털 저작물에 대하여 증거를 보전 하고자 많은 연구가 진행 되고 있지만 디지털 저작물에 관하여 네트워크를 통한 능동적 저작물 보호는 미약하다. 현재의 데이터 추출(Extraction), 발굴(Exploitation), 복구, 암호 해독, 패스워스 풀기(Defeat), 미러 이미징등의 방법 가지고 해결 못하는 경우와 인터넷 상에서 온라인으로 이루어지는 불법 복제에서 결정적 기여(smoking gun)를 찾아내려고 하는 것이 본 논문에서 해결 하고자 하는 부분이다. 오프라인일 경우도 가능하며 분석된 결과는 변호사/대리인, 법인, 보험회사, 법집행관등에게 온라인으로 제공한다. 진행 과정은 서버에서 파견시킨, 미션을 부여받은 에이전트가 저작물 불법 복제 상황을 트래킹 한 후, 네트워크를 통하여 정해진 시간별로 서버에 전달하면, 법 조항과 매핑시켜서 분석한 다음 서버의 지식베이스에 저장되어 사용자의 요구에 응하는 능동형 디지털 저작물 보호 관리 시스템이다.

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Minutiae Extraction Algorithms and Fingerprint Acquisition System using the Data Structure (자료구조를 이용한 지문인식시스템에서의 특이점 추출 알고리즘)

  • Park, Jong-Min;Lee, Jung-Oh
    • Journal of the Korea Institute of Information and Communication Engineering
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    • v.12 no.10
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    • pp.1787-1793
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    • 2008
  • Fingerprint Recognition System is made up of Off-line treatment and On-line treatment; the one is registering all the information of there trieving features which are retrieved in the digitalized fingerprint getting out of the analog fingerprint through the fingerprint acquisition device and the other is the treatment making the decision whether the users are approved to be accessed to the system or not with matching them with the fingerprint features which are retrieved and database from the input fingerprint when the users are approaching the system to use. In this paper, we propose a new data structure, called Union and Division, for processing binarized digital fingerprint image efficiently. We present a minutiae extraction algorithm that is using Union and Division and consists of binarization, noise removal, minutiae extraction stages.

Comparative study of PCDDs/DFs concentration in crop and its cultural environment (작물재배환경 중 다이옥신 잔류함량 비교연구)

  • Kwon, Oh-Kyung;Eun, Hee-Soo;Choi, Dal-Soon;Hong, Su-Myeong;Kwon, Hye-Young;Choi, Joo-Hyun
    • The Korean Journal of Pesticide Science
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    • v.10 no.2
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    • pp.91-98
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    • 2006
  • The objective of this study was to compare dioxin contents in spinach, soil and air and to evaluate the relation of dioxin concentrations in crop and its cultural environment. Sample weighing for the precise peak detection in dioxin analysis was also determined. The fragmentogram of HpCDFs, and especially OCDF, indicated different pattern from that of TeCDD/F, PeCDD/Fs and HxCDDs/Fs, which showed the same pattern. In case of field culture spinach (wet sample 2 kg) in Japan, peak of OCDF could be detected clearly, while market spinach (wet sample 1 kg) showed the only baseline detection. The result makes it possible to suppose the fact that production place of market spinach was not contaminated with OCDF, but atmospheric pattern of production place was similar to that of open field sample. So we could decide that the sample of agricultural crops were needed more than 2 kg in wet weight for the evaluation of precise peak The total tendency of dioxin concentration levels in field culture spinach may be affected by OCDD and HCDF distributed in soil. However, on the whole the major factor seems to be the atmospheric deposition.

Multi-modal Image Processing for Improving Recognition Accuracy of Text Data in Images (이미지 내의 텍스트 데이터 인식 정확도 향상을 위한 멀티 모달 이미지 처리 프로세스)

  • Park, Jungeun;Joo, Gyeongdon;Kim, Chulyun
    • Database Research
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    • v.34 no.3
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    • pp.148-158
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    • 2018
  • The optical character recognition (OCR) is a technique to extract and recognize texts from images. It is an important preprocessing step in data analysis since most actual text information is embedded in images. Many OCR engines have high recognition accuracy for images where texts are clearly separable from background, such as white background and black lettering. However, they have low recognition accuracy for images where texts are not easily separable from complex background. To improve this low accuracy problem with complex images, it is necessary to transform the input image to make texts more noticeable. In this paper, we propose a method to segment an input image into text lines to enable OCR engines to recognize each line more efficiently, and to determine the final output by comparing the recognition rates of CLAHE module and Two-step module which distinguish texts from background regions based on image processing techniques. Through thorough experiments comparing with well-known OCR engines, Tesseract and Abbyy, we show that our proposed method have the best recognition accuracy with complex background images.

Practical Study on Adjustment of Load Correlation Equations of Pole Transformer (주상변압기 부하 상관식 조정에 관한 실증적 연구)

  • 박창호;김두봉;김기현;배주천;윤상윤;김재철
    • Journal of the Korean Institute of Illuminating and Electrical Installation Engineers
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    • v.14 no.1
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    • pp.102-108
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    • 2000
  • This paper presents a result of practical study about the adjustment of load correlation equation for the load management of pole transformer. For adjusting the load correlation equation, we analyze the correlative relation between working electric energy[kWh] and peak load[A]. To enhance the accuracy of correlation equation, we classify the 12 representative area patterns. And then, we select the 24 sample pole transformer for each area pattern. For the reliability of the data using the load correlation equation, load management equipment is utilized for each sample pole transformer. Through the on-line data acquisition, we construct the database. For adjusting the load correlation equation, we consider the two points. One is the goodness of fitness for load correlation equation and the other is prevention of pole transformer damage due to the overload. Finally, we propose the correlation equation using the linear and quadratic equation all at once. Through the case studies, we verify that the proposed load correlation equation is reduced the error ratio than conventional correlation equation.

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Multiview Video Sequence CODEC with View Scalability (View Scalability를 고려한 다시점 동영상 코덱)

  • 임정은;손광훈
    • Journal of Broadcast Engineering
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    • v.9 no.3
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    • pp.236-245
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    • 2004
  • A multiview sequence CODEC with view scaiability is proposed in this paper. We define a GGOP (Group of GOP) structure as a basic coding unit to efficiently code multiview sequences. 7he proposed CODEC provides flexible GGOP structures based on the number of views and baseline distances among cameras. Multiview sequences encode consists of disparity estimation/compensation, motion estimation/compensation, residual coding and rate control and generates multiview sequence bitstream. The main bitstream is the same as an MPEG-2 mono-sequence bitstream for MPEG-2 compatibility. The auxiliary bitstream contains information concerning the remaining multiview sequences except for the reference sequences. The proposed CODEC with view scalability provides that a number of view flints are selectively determined at the receiver according to the type of display modes. The proposed multiview sequence CODEC is tested with several multiview sequences to determine its flexibility. compatibility with MPEG-2 and view scaiability. In addition, we subjectively confirm that the decoded bitstreams with view scaiability can be Properly displayed by several types of display modes. including 3D monitors.