• 제목/요약/키워드: Target spectrum

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A Method for Selecting Ground Motions Considering Target Response Spectrum Mean, Variance and Correlation - II Seismic Response (응답 스펙트럼의 평균과 분산, 상관관계를 모두 고려한 지반운동 선정 방법 - II 지진 응답)

  • Ha, Seong Jin;Han, Sang Whan
    • Journal of the Earthquake Engineering Society of Korea
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    • v.20 no.1
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    • pp.63-70
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    • 2016
  • This study is the sequel of a companion paper (I. Algorithm) for assessment of the seismic performance evaluation of structure using ground motions selected by the proposed algorithm. To evaluate the effect of the correlation structures of selected ground motions on the seismic responses of a structure, three sets of ground motions are selected with and without consideration of the correlation structure. Nonlinear response history analyses of a 20-story reinforced concrete frame are conducted using the three sets of ground motions. This study shows that the seismic responses of the frames vary according to ground motion selection and correlation structures.

Optical Binary Phase Extraction Joint Transform Correlator System for Improving the Correlation Discrimination (상관신호의 판별력 개선을 위한 광 BPEFTC 시스템)

  • 이상이;김은수
    • Journal of the Korean Institute of Telematics and Electronics A
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    • v.31A no.6
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    • pp.78-87
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    • 1994
  • In this paper, a binary phase extraction joiont transform correlator (BPEJTC)system is proposed as a new phase-type optical correlator in which the correlation errors and DC component are dramtically reduced and optical efficiency and correlation performance are also improved by reconstructing the joint transform power spectrum (JTPS) of the conventional joint transform correlator (JTC)system form which the autocorrelation and crosscorrelation siganls generated in each self-plane are removed, and the binary phase function is extracted from the phase value of the reconstructed JTPS. Through some computer simulation and optical experimental results, the possibility of the implementation of the real-time multi-target tracking and recognition system is also suggested.

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Design of Viscous Dampers Using Nonlinear Static Analysis (비탄성 정적해석을 이용한 점성감쇠기의 설계)

  • 김진구;최현훈
    • Proceedings of the Computational Structural Engineering Institute Conference
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    • 2000.10a
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    • pp.257-264
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    • 2000
  • Nonlinear dynamic time history analysis of a structure with energy dissipation devices is complicated and time consuming. In this regard the nonlinear static analysis is a practical alternative for evaluating the earthquake resisting capacity of a structure. In this study the nonlinear static response of a structure was obtained first, and the equivalent viscous modal damping ratio required to satisfy the performance objective was computed in the capacity spectrum format. Then proper amount of viscous dampers were installed to provide the required damping. Parametric study has been performed for the period of the structure, yield strength, and the stiffness after the first yield. According to the earthquake time history analysis results, the maximum displacement of the model structure with viscous dampers designed in accordance with the proposed method corresponds well with the target displacements that was used in the beginning of the design process.

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Extraction of frequency line feature of sonar signal using a neural network (신경회로망을 이용한 수중음향신호의 주파수선 특징 추출)

  • 하석운;이성은;남기곤;윤태훈;김재창;김길철
    • Journal of the Korean Institute of Telematics and Electronics C
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    • v.34C no.1
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    • pp.51-58
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    • 1997
  • In passive sonar, the frequency spectrum of a sound radiated by underwater moving targets is composed of a broadband nonuniform background noise and narrowband discrete tonals. To detect the tonals, the background noise is estimated and removed. Using the existing algorithms that estimate the background noise, a week tonals are not detected. Because a freuqency line that is formed by tonals which are being extracted continuously is a feture of the target, we are nessesory to efficiently detect the tonals that compose the frequncy line. In this paper, we propose an efficient neural network that can remove automatically the background and detect the even errl tonals, and we extract the frequency line feature on the spectrogram by the proposed algorithm. The experimental results for a ship's radiated sound show a better performance in comparison with the existing TPM algorithm.

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Fabrication of SnO2/Zn Core-shell Nanowires and Photoluminescence Properties

  • Kong, Myung Ho;Kwon, Yong Jung;Cho, Hong Yeon;Kim, Hyoun Woo
    • Applied Science and Convergence Technology
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    • v.23 no.5
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    • pp.301-307
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    • 2014
  • We have fabricated $SnO_2$/Zn core-shell nanowires by employing a sputtering technique with a Zn target. Scanning electron microscopy indicated that the surface of the nanowires became rougher by the coating. X-ray diffraction of the coated nanowires exhibited the hexagonal Zn diffraction peaks. TEM image of coated structures showed that shell layer was mainly comprised of hexagonal Zn phase. EDX spectra suggested that the shell layer consisted of Zn elements. The photoluminescence spectrum of the coated nanowires in conjunction with Gaussian fitting analysis revealed that the emission was disconvoluted with three Gaussian functions, which are centered at 2.1 eV in the yellow region, 2.4 eV in the green region, and 3.3 eV in the ultraviolet region. We speculated the possible mechanisms of these emission peaks.

Neural network algorithm for VOC gas recognition and concentration estimation at field screen using E-Nose System

  • Kim, Jeong-Do;Byun, Hyung-Gi;Ham, Yu-Kyung;Lee, Jun-Sub;Shon, Won-Ryul;Heo, Nam-Up
    • 제어로봇시스템학회:학술대회논문집
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    • 2001.10a
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    • pp.61.3-61
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    • 2001
  • Field screening for pollutants has been a target of instrumental development for number of years. An electronic nose can be of substantial benefit to rapidly localize the spatial extent of a pollution or to find pollutant source. Although an electronic nose cannot separate complex composition into the whole spectrum of present volatile organic compound(VOC) in pollutants such as Gas chromatography(GC), qualitative and semi-quantitative chemical characterizations are rapidly available on site at a low cost using the optimum sensory system and pattern recognition algorithm based on neural network.

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Radiometric Characteristics of KOMPSAT EOC Data Assessed by Simulating the Sensor Received Radiance

  • Kim, Jeong-Hyun;Lee, Kyu-Sung;Kim, Du-Ra
    • Korean Journal of Remote Sensing
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    • v.18 no.5
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    • pp.281-289
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    • 2002
  • Although EOC data have been frequently used in several applications since the launch of the KOMPSAT-1 satellite in 1999, its radiometric characteristics are not clear due to the inherent limitations of the on-board calibration system. The radiometric characteristics of remotely sensed imagery can be measured by the sensitivity of radiant flux coming from various surface features on the earth. The objective of this study is to analyze the radiometric characteristics of EOC data by simulating the sensor- received radiance. Initially, spectral reflectance values of reference targets were measured on the ground by using a portable spectre-radiometer at the EOC spectrum. A radiative transfer model, LOWTRAN, then simulated the sensor-received radiance values of the same reference target. By correlating the digital number (DN) extracted from the EOC image to the corresponding radiance values simulated from LOWTRAN, we could find the radiometric calibration coefficients for EOC image. The radiometric gain coefficients of EOC are very similar to those of other panchromatic optical sensors.

Research on a Spectral Reconstruction Method with Noise Tolerance

  • Ye, Yunlong;Zhang, Jianqi;Liu, Delian;Yang, Yixin
    • Current Optics and Photonics
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    • v.5 no.5
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    • pp.562-575
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    • 2021
  • As a new type of spectrometer, that based on filters with different transmittance features attracts a lot of attention for its advantages such as small-size, low cost, and simple optical structure. It uses post-processing algorithms to achieve target spectrum reconstruction; therefore, the performance of the spectrometer is severely affected by noise. The influence of noise on the spectral reconstruction results is studied in this paper, and suggestions for solving the spectral reconstruction problem under noisy conditions are given. We first list different spectral reconstruction methods, and through simulations demonstrate that these methods show unsatisfactory performance under noisy conditions. Then we propose to apply the gradient projection for sparse reconstruction (GRSR) algorithm to the spectral reconstruction method. Simulation results show that the proposed method can significantly reduce the influence of noise on the spectral reconstruction process. Meanwhile, the accuracy of the spectral reconstruction results is dramatically improved. Therefore, the practicality of the filter-based spectrometer will be enhanced.

SYNTHESIS OF HALOGENATED 9-(DIHYDROXYCYCLOPENT -4′-ENYL) ADENINES AND THEIR INHIBITORY ACTIVITIES AGAINST S-ADENOSYLHOMOCYSTEINE HYDROLASE

  • Choi, Won-Jun;Park, Jae-Gyu;Moon, Hyung-Ryong;Gunaga Prashantha;Lee, Kang-Man;Kim, Hea-Ok;Jeong, Lak-Shin
    • Proceedings of the PSK Conference
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    • 2002.10a
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    • pp.365.2-365.2
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    • 2002
  • S-Adenosylhomocysteine hydrolase (SAH) catalyzes the hydrolysis of S-adenosylhomocysteine to adenosine and L -homocysteine and has been an attractive target for the development of broad spectrum antiviral agents. Neplanocin A and 9-(dihydroxycyclopent-4' -enyl)adenine (DHCeA) have been known to inhibit SAH by cofactor (NAD+) depletion mechanism and their inhibition is reversed by the addition of NAD+ or dialysis. (omitted)

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Device to Device Communications Architectures and Cross-Layer Evaluation Frameworks

  • Aldabbagh, Ghadah
    • International Journal of Computer Science & Network Security
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    • v.21 no.1
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    • pp.152-161
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    • 2021
  • The paper focuses on Device-to-device (D2D) Architectures evaluation frameworks. D2D communication and discovery can improve spectrum usage efficiency and optimize the tradeoffs between throughput and energy consumption. The target operation modes involve both indirect communication between two nodes via a base station or the direct communication among proximal nodes, enabling use cases that can support communications out of cellular coverage, as well as low end-end delay requirements. The paper will present the architectural evolution of D2D networks within 3GPP standardization and will highlight key network functionalities and signaling protocols. It will also identify key analytical and simulation models that can be used to assess the performance and energy efficiency of resource allocation strategies, and it will present a suitable cross-layer integrated framework.