• Title/Summary/Keyword: 특징변환

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A Wrapper System for Extraction and Integration of Web Information (웹 정보의 추출 및 통합을 위한 래퍼 시스템)

  • 정재목;김형주
    • Journal of KIISE:Computing Practices and Letters
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    • v.9 no.5
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    • pp.551-559
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    • 2003
  • This paper describes the data model and software development of XWS, an XWEET Web-wrapper System for generation wrapper program. To access information from various information sources, one has to convert and integrate source data into the same data model. XWS is developed as a part of XWEET project. We have implemented the XWS system using the Perl programming language stressing efficiency and ease-of-use. XWS has a few distinct features. First, data model and operator used for extracting information from HTML support a unified model of different views of HTML document. Second, it provides a user-friendly interface program to enable wrapper programmer to generate wrapper easily Third, XWS use the high-level script language designed by object-oriented methodology. In this paper, we also present the detail demonstration where it is useful for extracting article information from DBLP site.

A Film-Defect Inspection System Using Image Segmentation and Template Matching Techniques (영상 세그멘테이션 및 템플리트 매칭 기술을 응용한 필름 결함 검출 시스템)

  • Yoon, Young-Geun;Lee, Seok-Lyong;Park, Ho-Hyun;Chung, Chin-Wan;Kim, Sang-Hee
    • Journal of KIISE:Databases
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    • v.34 no.2
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    • pp.99-108
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    • 2007
  • In this paper, we design and implement the Film Defect Inspection System (FDIS) that detects film defects and determines their types which can be used for producing polarized films of TFT-LCD. The proposed system is designed to detect film defects from polarized film images using image segmentation techniques and to determine defect types through the image analysis of detected defects. To determine defect types, we extract features such as shape and texture of defects, and compare those features with corresponding features of referential images stored in a template database. Experimental results using FDIS show that the proposed system detects all defects of test images effectively (Precision 1.0, Recall 1.0) and efficiently (within 0.64 second in average), and achieves the considerably high correctness in determining defect types (Precision 0.96 and Recall 0.95 in average). In addition, our system shows the high robustness for rotated transformation of images, achieving Precision 0.95 and Recall 0.89 in average.

Log Buffer Management Scheme for NAND Flash Memory in Real-Time Systems (실시간 시스템용 낸드 플래시 메모리를 위한 로그 버퍼 관리 기법)

  • Cho, Hyun-Jin;Ha, Byung-Min;Shin, Dong-Kun;Eom, Young-Ik
    • Journal of KIISE:Computer Systems and Theory
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    • v.36 no.6
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    • pp.463-475
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    • 2009
  • Flash memory is suitable for real time systems because of its consistent performance for random access, low power consumption and shock resistance. However, flash memory needs blocking time to perform a garbage collection to reclaim invalidated pages. Moreover, the worst-case garbage collection time is significantly longer than the best-case garbage collection time. In this paper, we propose a FTL (Flash Translation Layer) mapping scheme called KAST (K-Associative Sector Translation). In the KAST scheme, user can control the maximum association of the log block to limit the worst-case garbage collection time. Performance evaluation using simulation shows that not only KAST completes the garbage collection within the specified time but also provides about 10~15% better average performance than existing FTL schemes.

Correspondence Matching of Stereo Images by Sampling of Planar Region in the Scene Based on RANSAC (RANSAC에 기초한 화면내 평면 영역 샘플링에 의한 스테레오 화상의 대응 매칭)

  • Jung, Nam-Chae
    • Journal of the Institute of Convergence Signal Processing
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    • v.12 no.4
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    • pp.242-249
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    • 2011
  • In this paper, the correspondence matching method of stereo images was proposed by means of sampling projective transformation matrix in planar region of scene. Though this study is based on RANSAC, it does not use uniform distribution by random sampling in RANSAC, but use multi non-uniform computed from difference in positions of feature point of image or templates matching. The existing matching method sampled that the correspondence is presumed to correct by use of the condition which the correct correspondence is almost satisfying, and applied RANSAC by matching the correspondence into one to one, but by sampling in stages in multi probability distribution computed for image in the proposed method, the correct correspondence of high probability can be sampled among multi correspondence candidates effectively. In the result, we could obtain many correct correspondence and verify effectiveness of the proposed method in the simulation and experiment of real images.

Personalizing Web Service Pages for Mobile Users (모바일 사용자를 위한 웹 서비스 페이지 개인화 기법)

  • Jeon Yeonghyo;Hwang Eejun
    • Journal of KIISE:Computing Practices and Letters
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    • v.11 no.1
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    • pp.69-80
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    • 2005
  • Recent popularity of web-ready mobile devices such as PDA and cellphone has made mobile Internet access very popular. However, most of existing Web contents and services are optimized for desktop computing environment and not well suited for mobile devices. Considering different system features of mobile devices such as small display and limited input capability, an alternative scheme to access the Web efficiently is required. On the other hand, personalization plays an important role in the tailored access to the Web contents and services. In this paper, we propose a proxy- based personalization scheme of Web service pages for mobile users. For that purpose, in addition to log data. service related features of Web pages are considered for the correct identification of popular services. It automatically provides mobile users with the tailored list of Web services well suited for diverse mobile devices. Consequently, mobile users can utilize customized Web services with minimum navigation on the mobile devices with limited capability. In order to show its effectiveness, we have performed several experiments on the prototype system and reported some of the results.

Study of Optical Fiber Sensor Systems for the Simultaneous Monitoring of Fracture and Strain in Composite Laminates (복합적층판의 변형파손 동시감지를 위한 광섬유 센서 시스템에 관한 연구)

  • 방형준;강현규;홍창선;김천곤
    • Composites Research
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    • v.16 no.3
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    • pp.58-67
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    • 2003
  • To perform the realtime strain and fracture monitoring of the smart composite structures, two optical fiber sensor systems are proposed. The two types of the coherent sources were used for fracture signal detection - EDFA with FBG and EDFA with Fabry-Perot filter. These sources were coupled to EFPI sensors imbedded in composite specimens. To understand the characteristics of matrix crack signals, at first, we performed tensile tests using surface attached PZT sensors by changing the thickness and width of the specimens. This paper describes the implementation of time-frequency analysis such as short time Fourier transform (STFT) and wavelet transform (WT) for the quantitative evaluation of fracture signals. The experimental result shows the distinctive signal features in frequency domain due to the different specimen shapes. And, from the test of tensile load monitoring using optical fiber sensor systems, measured strain agreed with the value of electric strain gage and the fracture detection system could detect the moment of damage with high sensitivity to recognize the onset of micro-crack fracture signal.

Signal Processing Technology for Rotating Machinery Fault Signal Diagnosis (회전기계 결함신호 진단을 위한 신호처리 기술 개발)

  • Ahn, Byung-Hyun;Kim, Yong-Hwi;Lee, Jong-Myeong;Lee, Jeong-Hoon;Choi, Byeong-Keun
    • Transactions of the Korean Society for Noise and Vibration Engineering
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    • v.24 no.7
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    • pp.555-561
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    • 2014
  • Acoustic Emission technique is widely applied to develop the early fault detection system, and the problem about a signal processing method for AE signal is mainly focused on. In the signal processing method, envelope analysis is a useful method to evaluate the bearing problems and wavelet transform is a powerful method to detect faults occurred on rotating machinery. However, exact method for AE signal is not developed yet for the rotating machinery diagnosis. Therefore, in this paper two methods which are processed by Hilbert transform and DET for feature extraction. In addition, we evaluate the classification performance with varying the parameter from 2 to 15 for feature selection DET, 0.01 to 1.0 for the RBF kernel function of SVR, and the proposed algorithm achieved 94 % classification of averaged accuracy with the parameter of the RBF 0.08, 12 feature selection.

Producing Method and Statistical Evaluation of Taste of Sigumjang (시금장의 제조방법 조사 및 맛의 통계적 평가)

  • Choi, Ung-Kyu;Son, Dong-Hwa;Ji, Won-Dae;Choi, Dong-Hwan;Kim, Young-Ju;Rhee, Seong-Won;Chung, Yung-Gun
    • Korean Journal of Food Science and Technology
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    • v.31 no.3
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    • pp.778-787
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    • 1999
  • This study was conducted to standardize the quality of sigumjang. The characteristic of producing method for sigumjang had smoking step. The major component of the amino acids of sigumjang was proline followed by valine, glutamic acid and alanine. Among the organic acids, only acetic acid and propionic acid were detected. The sugar component of sigumjang was composed of glucose predominantly, followed by maltose and fructose. The relation between taste components and sensory scores was analyzed by method of multiple regression analysis. Correlation between contents of taste components and sensory scores were significantly low. Among components of sigumjang inositol and fructose had the higest correlation with sensory scores. The result of multiple regression analysis, taste of sigumjang was explained about 90% with 16 taste components in case of relative value transformed with logarithm and 17 taste components in case of absolute value.

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Research on Function and Policy for e-Government System using Semantic Technology (전자정부내 의미기반 기술 도입에 따른 기능 및 정책 연구)

  • Jang, Young-Cheol
    • Journal of Korea Society of Industrial Information Systems
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    • v.13 no.5
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    • pp.22-28
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    • 2008
  • This paper aims to offer a solution based on semantic document classification to improve e-Government utilization and efficiency for people using their own information retrieval system and linguistic expression. Generally, semantic document classification method is an approach that classifies documents based on the diverse relationships between keywords in a document without fully describing hierarchial concepts between keywords. Our approach considers the deep meanings within the context of the document and radically enhances the information retrieval performance. Concept Weight Document Classification(CoWDC) method, which goes beyond using existing keyword and simple thesaurus/ontology methods by fully considering the concept hierarchy of various concepts is proposed, experimented, and evaluated. With the recognition that in order to verify the superiority of the semantic retrieval technology through test results of the CoWDC and efficiently integrate it into the e-Government, creation of a thesaurus, management of the operating system, expansion of the knowledge base and improvements in search service and accuracy at the national level were needed.

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레이져 응용 계측에 관하여

  • 신현동
    • Journal of the korean Society of Automotive Engineers
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    • v.6 no.2
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    • pp.14-19
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    • 1984
  • 종래에 많이 사용된 각양의 계측 방법을 일일이 설명하는 것은 본 해설의 목적이 아니기 때문에 개략적으로 분류하여 설명하면 다음과 같다. 1) 시간 평균유속은 주로 프로브(probe)를 경유하여 동압과 정압의 측정에 의하여 수행되어 왔다. 연소반응이 있으면 밀도의 변화가 있게 되는데 밀도는 후술하는 농도의 계측과 온도의 계측에 의하여 정해져 동압과 정압으로부터 유속으로 변환된다. 시간분해능이 높은 비접촉식(직접 프 로브를 측정부에 삽입하지 않는 방법) 유속측정이 가능한 방법으로는 레이저 도플러 유속계 (Laser Doppler Velocimetry, 이하 LDV로 표현)를 들 수 있다. LDV는 압력측정에 의한 유속 산출법에서와 같은 온도 및 농도 등의 부수적인 계측이 필요없이, 직접 유속을 검출할 수 있으며 또한 검정이 필요없는 절대유속 측정이 가능하며 현재 연소반응이 있는 흐름에 대한 대부분의 연구에 적용되고 있는 실정이다. 2) 시간평균 화학종 농도측정에 가장 많이 쓰이는 방법은, 연소가스를 채취하여 가스 크로마토 그라프(Gas Chromatograph)로 분석하는 것을 들 수 있다. 한편, 시간 분해능이 높은 화학종 농 도의 계측은 레이저를 사용하여 각 화학종의 발광, 산란 및 흡수성을 이용, 측정한다. 3) 온도측정은 대부분 열전대를 사용하고 있다. 그러나 이 방법은 직접 프로브를 삽입해야 하므로 사용한계의 범위가 지극히 좁으며, 연소반응이 일어나므로 프로브 자체의 촉매반응 및 복사 열전달에 의한 보정 등이 사용상 큰 문제로 제기된다. 그러나 최근 레이저 이용기술의 발달로 (2)항에서의 농도 계측과 같이 반응기체의 온도 및 성분의 동시측정이 가능한 방법도 점차 현 실화 되어가고 있다. 그 대표적인 예로 CARS법(Coherent Anti-Stokes Raman Spectroscopy)을 들 수 있다. 이상으로부터 연소반응이 일어나는 흐름에서의 각종 계측에서는, 비접촉 측정의 가능성과 시간 공간 분해능의 특징으로 미루어 앞으로는 레이저를 이용한 계측 방법이 그 주류를 이룰 것으로 사료된다. 우선 본 해설은 기체의 온도 및 농도의 광학적 측정방법중 Raman산란광 검출법에 대하여 실제로 측정하는 입장에서 간단히 소개한다.

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