• Title/Summary/Keyword: 강인성 분석

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Integrated Information System for Environmental and Economic Evaluation (경제성 환경성 통합평가를 위한 정보통합시스템)

  • Kim, Chang-Hak;Shin, Min Ho;Kang, In Seok
    • KSCE Journal of Civil and Environmental Engineering Research
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    • v.30 no.6D
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    • pp.615-622
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    • 2010
  • Recent years, the construction projects of a world-wide have changed toward integrated evaluation considering all environmental and economic aspect for ecological construction.. The object of this study is to suggest the method and system for integrated analysis VE/LCC and LCA. In order to integrate and analyze environmental and economic aspects of alternative design elements, decision maker should handle simultaneously much information such as cost, document and drawing. This study presents applicative methods of WBS for integrated management of these information. Also, this study presents a decision support system that can manage DB easily by using VE, LCC and LCA analysis module separately.

Analysis of the hazardous RoHS materials in polyethylene and polypropylene samples by bench-top and portable XRF methods (탁상형 및 휴대형 X-선 형광 분석기를 이용한 폴리에틸렌 및 폴리프로필렌 시료 중 RoHS 규제 물질의 비교 분석)

  • Choi, Soo-Jung;Kim, Chong-Hyeak;Lee, Sueg-Geun;Kang, In-Sung
    • Analytical Science and Technology
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    • v.23 no.1
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    • pp.74-82
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    • 2010
  • As a basic research for development of the domestic portable XRF spectrometer, we discussed the analytical results of bench-top and portable XRF methods for RoHS materials of the Cd, Pb, Hg, Cr(IV), polybrominated biphenyls(PBB) and polybrominated diphenyl ehters(PBDE). The instrumental parameters such as measurement time of bench-top and portable XRF were optimized using certified reference materials of polyethylene and polypropylene with 5 hazardous materials of 0~1,200 mg/kg. The quantitative analysis of total-Cr, total-Br, Cd, Hg and Pb in certified reference materials and plastic samples were compared by empirical method, fundamental parameter method of bench-top XRF and portable XRF.

A Spatial Data Mining Method by Clustering Analysis (클러스터링 분석에 의한 공간데이터마이닝 방법)

  • 손은정;강인수;김태완;이기준
    • Proceedings of the Korean Information Science Society Conference
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    • 1998.10b
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    • pp.161-163
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    • 1998
  • 지리정보시스템과 같이 방대한 양의 공간데이터를 다루는 응용시스템에서 공간데이터베이스로부터 규칙적인 특성이나, 혹은 관심 있는 지식을 추출해내는 공간데이터마이닝의 역할은 매우 중요하다. 이를 위해 지금까지 이루어진 방법들에는 여러 가지가 있지만 그 중에서 대표적인 방법이 클러스터링으로 이는 단지 기하학적인 거리에 기반을 둔 공간적인 집중성과 분포도를 찾는 데에만 한정되어 있다. 그러나, 공간데이터마이닝을 위해서는 공간클러스터가 형성된 원인을 분석하는 것 또한 필요하다. 따라서 본 연구에서는 공간 클러스터링에서 얻어진 결과를 다른 공간적인 객체와의 연관성을 분석하여 공간적 집중성과 분포도를 유발하는 원인을 찾는 방법을 다룬다. 우선 몇 가지의 거리를 정의하는 것에 의해 클러스터와 공간객체사이의 연관성을 분석하는 방법을 제시하고, 생성된 공간 클러스터가 다수의 공간객체에 영향을 받을 경우, 그 공간 클러스터를 각각 단위클러스터로 분리하는 방법을 제시한다.

A Watermarking Algorithm of 3D Mesh Model Using Spherical Parameterization (구면 파라미터기법을 이용한 3차원 메쉬 모델의 워더마킹 알고리즘)

  • Cui, Ji-Zhe;Kim, Jong-Weon;Choi, Jong-Uk
    • Journal of the Korea Institute of Information Security & Cryptology
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    • v.18 no.1
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    • pp.149-159
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    • 2008
  • In this paper, we propose a blind watermarking algorithm of 3d mesh model using spherical parameterization. Spherical parameterization is a useful method which is applicable to 3D data processing. Especially, orthogonal coordinate can not analyse the feature of the vertex coordination of the 3D mesh model, but this is possible to analyse and process. In this paper, the centroid center of the 3D model was set to the origin of the spherical coordinate, the orthogonal coordinate system was transformed to the spherical coordinate system, and then the spherical parameterization was applied. The watermark was embedded via addition/modification of the vertex after the feature analysis of the geometrical information and topological information. This algorithm is robust against to the typical geometrical attacks such as translation, scaling and rotation. It is also robust to the mesh reordering, file format change, mesh simplification, and smoothing. In this case, the this algorithm can extract the watermark information about $90{\sim}98%$ from the attacked model. This means it can be applicable to the game, virtual reality and rapid prototyping fields.

Robust Feature Parameter for Implementation of Speech Recognizer Using Support Vector Machines (SVM음성인식기 구현을 위한 강인한 특징 파라메터)

  • 김창근;박정원;허강인
    • Journal of the Institute of Electronics Engineers of Korea SP
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    • v.41 no.3
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    • pp.195-200
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    • 2004
  • In this paper we propose effective speech recognizer through two recognition experiments. In general, SVM is classification method which classify two class set by finding voluntary nonlinear boundary in vector space and possesses high classification performance under few training data number. In this paper we compare recognition performance of HMM and SVM at training data number and investigate recognition performance of each feature parameter while changing feature space of MFCC using Independent Component Analysis(ICA) and Principal Component Analysis(PCA). As a result of experiment, recognition performance of SVM is better than 1:.um under few training data number, and feature parameter by ICA showed the highest recognition performance because of superior linear classification.

Adaptive QoS Management for MPEG-4 Streaming Service over Internet (인터넷 기반의 MPEG-4 스트리밍 서비스를 위한 적응적 QoS 관리)

  • 최지훈;이상조;서덕영;김현철;이명호
    • Journal of Broadcast Engineering
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    • v.5 no.2
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    • pp.227-238
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    • 2000
  • This paper, at first, provides analysis on loss pattern of Internet based on real experiments of the current Internet. Then, we propose an effective adaptive QoS management technique, in which measured loss pattern as well as PLR (Packet Loss Ratio) are used to select titrate of temporal scalability. level of FEC and retransmission This selection is also incorporated to the MPEG-4 error resilience tools and error concealment techniques. In order to minimize effect of packet loss, multimedia stream is segmented in the unit of group of Pictures (GOP) and interleaving and FEC are applied to the segment. Proposed algorithms are applied to build a VOD system.

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Performance Evaluation of MCLT-based Audio Watermark in DTV System (DTV 시스템에서의 MCLT 기반 오디오 워터마크 성능 평가)

  • Jeong, Youngho;Lee, Misuk;Lee, Taejin;Kim, Huiyong
    • Proceedings of the Korean Society of Broadcast Engineers Conference
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    • 2017.06a
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    • pp.219-222
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    • 2017
  • 본 논문에서는 DTV 시스템을 대상으로 PN 시퀀스를 이용한 MCLT(Modulated Complex Lapped Transform) 기반 오디오 워터마크 알고리즘에 대한 BER 및 PEAQ(Perceptual Evaluation of Audio Quality) 성능 평가를 통해 오디오 신호 압축에 대한 워터마크의 강인성 및 워터마크 삽입에 따른 오디오 품질 열화 정도를 분석하였다. 이를 위해 오디오 신호 특성을 고려한 프로그램 장르별 시험용 방송 콘텐츠를 제작하고, Lab. Test 를 위한 DTV 송수신 시스템을 구축하였다. 오디오 인코딩 비트율 변화에 따른 성능 평가 결과, 광고 콘텐츠를 제외한 평균 BER(%)에서 192kbps 비트율이 128kpbs 비트율에 비해 0.0767 더 우수한 성능을 보였다. 오디오 워터마크 삽입에 따른 객관적 음질 평가에서는 PEAQ 점수가 약 -0.2 로 원래 오디오 신호와의 품질 차이가 매우 작은 것으로 나타났으며, 또한 DTV 시스템상의 신호 압축에 의해 발생하는 오디오 신호의 품질 저하 이외에 워터마크 삽입으로 인한 추가적인 음질 저하는 거의 발생하지 않는 것으로 분석되었다.

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Median Prefilter Based Robust Acquisition Of Direct Sequence Spread Spectrum Signals In Wideband Pulse Jamming (미디언 필터를 이용한 광대역 펄스 재밍 환경에서의 직접 시퀀스 확산 대역 신호의 강인한 포착)

  • 김승준;이용환
    • The Journal of Korean Institute of Communications and Information Sciences
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    • v.24 no.6B
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    • pp.1015-1023
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    • 1999
  • We propose nonlinear processing schemes for robust acquisition of direct-sequence spread spectrum (DS/SS) signals in wideband pulse jamming. To mitigate the interference effect due to impulse-like wideband jamming signals, the received signal is preprocessed by using the median filter, a simple order statistic filter Since only parts of the PN sequence are used for rapid acquisition, it is indispensable for analytic design of an acquisition scheme to have an appropriate model of the partial PN signal. The partial correlation of the median filtered PN signal is approximated by a two-piecewise linear model using an approximate upper bound. The acquisition performance of the proposed schemes is compared to that of other schemes. Finally, the analytic design is verified by computer simulation.

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Deep Learning-based Analysis of Meat Freshness Measurement (고기 신선도 측정 데이터의 딥러닝 기반 분석)

  • Jang, Aera;Kim, Hey-Jin;Kim, Manbae
    • Journal of Broadcast Engineering
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    • v.25 no.3
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    • pp.418-427
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    • 2020
  • The measurement of meat freshness at meat markets is important for the health of consumers. Currently a variety of sensors have been studied for the measurement of the meat freshness. Therefore, the analysis of sensor data is needed for the reduction of measurement errors. In this paper, we analyze the freshness measurement data of ten sensors based on deep learning. The measured data are composed of beef, pork and chicken, whose reliability and noise-robustness are examined by a deep neural network. Further, to search for multiple sensors better than a torrymeter, PCA (principle component analysis) is carried. Then, we validated that the performance of the three sensors outperforms the torrymeter in the experiment.

High Performance Control of Container Crane using Adaptive-Fuzzy Control (적응 퍼지제어를 이용한 컨테이너 크레인의 고성능제어)

  • Jung, Dong-Hwo;Kim, Do-Yun;Jung, Byung-Jin
    • Journal of the Korean Institute of Illuminating and Electrical Installation Engineers
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    • v.23 no.2
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    • pp.115-124
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    • 2009
  • This paper proposed an adaptive fuzzy controller for controlling speed and positions of a container crane. The motor used in container crane is installed as SynRM with variable-speed drive having the robustness on the problems of energy and environment. The conventional PI controller is not able to accurately track the position, speed and sway angle of trolley due to the factors of environment and the parameter variety. In the paper, we analyzed the performance of SynRM derive applied to the container crane by using an adaptive fuzzy control of SynRM in order to solve those problems. This paper analyzed the characteristics of position and speed response and compared the performance of PI controller with an adapative Fuzzy controller, proving the validity.