• Title/Summary/Keyword: Domain component

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Noise elimination of PD signal using Wavelet Transform (웨이브렛 변환을 이용한 부분방전신호의 잡음제거 특성)

  • Lee, Hyun-Dong;Ju, Jae-Hyun;Kim, Ki-Chai;Park, Won-Zoo;Lee, Kwang-Sik;Lee, Dong-In
    • Proceedings of the KIEE Conference
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    • 2001.07c
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    • pp.1679-1681
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    • 2001
  • In this paper, As the wavelet transform has the properties of multi-resolution analysis and time-frequency domain localization, application of wavelet transform is used at partial discharge(PD) signal detected by electromagnetic wave detection method to extract PD signal's various frequency component and its time domain. therefore we can analyzed PD signal's time-frequency domain simultaneously. On the other hand, using wavelet transform denoising process, inclued noise signal in detected PD signal is well elimiated. we can propose the true shape of PD signal.

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A Study on the Identification of Cutter Offset by Cutting Force Model in Milling Process (밀링가공에서 절삭력 모델을 이용한 커터 오프셋 판별에 관한 연구)

  • 김영석
    • Journal of the Korean Society of Manufacturing Technology Engineers
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    • v.7 no.2
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    • pp.91-99
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    • 1998
  • This paper presents a methodology for identifying the cutter runout geometry in end milling process. Cutter runout is common but undesirable phenomenon in multi-tooth machining because it introduces variable chip loading to insert which results in a accelerated tool wear. amplification of force variation and hence enlargement vibration amplitude From understanding of chip load change kinematics, the analytical cutting force convolution model was formulated as the angular domain convolution model was formulated as the angular domain convolution of three dynamic cutting force component functions. By virtue of the convolution integration property, the frequency domain expression of the local cutting forces and the chip width density of the cutter. Experimental study is presented to validate the analytical model. This study provides the in-process monitoring and compensation of dynamic cutter runout to improve machining tolerance and surface quality for industrial application.

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Characteristics of Partial Discharges Signals Utilizing Method of Wavelet Transform Denoising Process (웨이브렛 변환의 노이즈 제거기법에 의한 부분방전신호 특성)

  • 이현동;이광식
    • Journal of the Korean Institute of Illuminating and Electrical Installation Engineers
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    • v.15 no.4
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    • pp.62-68
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    • 2001
  • In this paper, As the wavelet transform has the properties of multi-resolution analysis and time-frequency domain localization, application of wavelet transform is used at partial discharge(PD) signal detected by electrical detection method to extract PD signal's various frequency component and its time domain. therefore we can analyzed PD signal's time-frequency domain simultaneously. On the other hand, using wavelet transform denoising process, included noise signal in detected PD signal is well eliminated. we can propose the true shine of PD signal.

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A TINA-Based Component Modeling for Static Service Composition

  • Shin, Young-Seok;Lim, Sun-Hwan
    • Journal of information and communication convergence engineering
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    • v.2 no.1
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    • pp.40-45
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    • 2004
  • This paper describes a modeling of service composition manager based on TINA (Telecommunication Information Networking Architecture). The Service composition function is mainly motivated by the desire to easily generate new service using existing services from retailers or $3^{rd}$-party service providers. The TINA-C specification for the service composition does not include the detailed composition procedure and its object models. In this paper, we propose a model of components for the service composition, which adapts a static composition feature in a single provider domain. To validate the proposed modeling, we implemented prototype service composition function, which combines two multimedia services; a VOD service and a VCS service. As a result, we obtain the specification of the detailed composition architecture between a retailer domain and a $3^{rd}$-party service provider domain.

A Study on the Development Web Services Component Based Service Oriented Architecture (SOA 기반의 웹 서비스 컴포넌트 개발에 관한 연구)

  • Park Dong-Sik;Shin Ho-Jun;Kim Haeng-Kon
    • Journal of Korea Multimedia Society
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    • v.7 no.10
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    • pp.1496-1504
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    • 2004
  • Web service should be to connect business between enterprise through the Internet, promotion of construction speed and decrease of development expense of service construction are possible. Also, unification with other domain is possible easily, and update or correction is easy by offering reusability and replaceability through component based development. In this paper, We suggest development process to build architecture and this to integrate consisted component efficiently to develop web service that is embodied in supplier side on service oriented architecture(SOA). The suggest architecture to integrate component that is consisted for this efficiently, and describes development process. So that component develops web service to base structure of web service because do command stratification logically function in each hierarchy define, and presents architecture based on logical hierarchy. The web services consist of Facade and Backside component; The Facade component have web service functions. We describe process that develop to Facade component and present mailing web services as case study. It can be decrease production cost and development time. The web service based on component will improve reliability for reuseability and replaceability.

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Automatic Component Reconfiguration Tool Based on the Feature Configuration and GenVoca Architecture (특성 구성과 GenVoca 아키텍처에 기반한 컴포넌트 재구성 자동화 도구)

  • Choi Seung Hoon
    • Journal of Internet Computing and Services
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    • v.5 no.4
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    • pp.125-134
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    • 2004
  • Recently a lot of researches on the component-based software product lines and on applying generative programming into software product lines are being performed actively. This paper proposes an automatic component reconfiguration tool that could be applied in constructing the component-based software product lines. Our tool accepts the reuser's requirement via a feature model which is the main result of the domain engineering, and makes the feature configuration from this requirement. Then it generates the source code of the reconfigured component according to this feature configuration. To accomplish this process, the component family in our tool should have the architecture of GenVoca that is one of the most influential generative programming approaches. In addition, XSLT scripts provide the code templates for implementation elements which are the ingredients of the target component. Taking the ‘Bank Account' component family as our example, we showed that our component reconfiguration tool produced automatically the component source code that the reuser wants to create. The result of this paper would be applied extensively for creasing the productivity of building the software product lines.

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Stochastic System Reduction and Control via Component Cost Analysis (구성요소치 해석을 이용한 확률계의 축소와 제어)

  • Chae, Kyo-Soon;Lee, Dong-Hee;Park, Sung-Man;Yeo, Un-Kyung;Cho, Yun-Hyun;Heo, Hoon
    • Proceedings of the KSME Conference
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    • 2007.05a
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    • pp.921-926
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    • 2007
  • A dynamic system under random disturbance is considered in the study. In order to control the system efficiently, proper reduction of system dimension is indispensible in design stage. The reduction method using component cost analysis in conjunction with stochastic analysis is proposed for the control of a system. System response is obtained in terms of dynamic moment equation via Fokker-Plank-Kolmogorov(F-P-K) equation. The dynamic moment response of the system under random disturbance are reduced by using of deterministic version of component cost analysis. The reduced system via proposed "stochastic component cost analysis" is successfully implemented for dynamic response and shows remarkable control performance effectively utilizing "stochastic controller" in physical time domain.

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Telephone Speech Recognition with Data-Driven Selective Temporal Filtering based on Principal Component Analysis

  • Jung Sun Gyun;Son Jong Mok;Bae Keun Sung
    • Proceedings of the IEEK Conference
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    • 2004.08c
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    • pp.764-767
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    • 2004
  • The performance of a speech recognition system is generally degraded in telephone environment because of distortions caused by background noise and various channel characteristics. In this paper, data-driven temporal filters are investigated to improve the performance of a specific recognition task such as telephone speech. Three different temporal filtering methods are presented with recognition results for Korean connected-digit telephone speech. Filter coefficients are derived from the cepstral domain feature vectors using the principal component analysis.

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PCAIW A VELET BASED WATERMARKING OF MULTISPECTRAL IMAGE

  • RANGSANSERI Y.;PANYAVARAPORN J.;THITIMAJSHIMA P.
    • Proceedings of the KSRS Conference
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    • 2005.10a
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    • pp.138-141
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    • 2005
  • In this paper, we propose a watermarking technique of multispectral images. In our method, the Principal Component Analysis (PCA) is preliminarily applied on the multispectral image. The most principal component image is used for embedding with a watermark, which is a pseudo-random number sequence generated with a secret key. The embedding process is performed in the wavelet domain. The resulting image is then reinserted into the principal component images, and the final multispectral image containing the watermark can be produced by the inverse PCA. Experimental results are provided to illustrate the performance of the algorithm against various kinds of attacks.

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The Design of Adaptive Component Analysis System for Image Retrieval (영상 검색을 위한 적응적 컴포넌트 분석 시스템 설계)

  • 최철;박장춘
    • Journal of the Korea Society of Computer and Information
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    • v.9 no.2
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    • pp.19-26
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    • 2004
  • This paper proposes ACA (Adaptive Component Analysis) as a method for feature extraction and analysis of the content-based image retrieval system. For satisfactory retrieval, the features extracted from images should be appropriately applied according to the image domains and for this, retrieval measurement is proposed in this study. Retrieval measurement is a standard indicating how important the value of a relevant feature is to image retrieval. ACA is a middle stage for content-based image retrieval and it purposes to improve the retrieval speed and performance.

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