• Title/Summary/Keyword: analysis of techniques

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Signal Modulation Techniques and Performance Analysis for KPS Signal Design

  • Shin, Heon;Han, Kahee;Joo, Jung-Min;Won, Jong-Hoon
    • Journal of Positioning, Navigation, and Timing
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    • v.9 no.4
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    • pp.293-304
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    • 2020
  • In this paper, various modulation techniques, including the legacy Global Navigation Satellite System (GNSS) signal modulation techniques, are introduced and the spectral characteristics and correlation characteristics of signals with various modulation techniques are analyzed based on numerical simulation. With the development of various GNSS services, the limited frequency band has become increasingly saturated, and issues of interoperability and compatibility have emerged in the new GNSS design. Since the efficient allocation of frequency resources is closely related to spectrum design, modulation techniques are one of the important signal design parameters of new signal design. Signal modulation techniques are closely related to various figure of merits (FoMs) as well as spectrum characteristic, and in some cases there is a complicated trade-off between FoMs. Thus, the FoMs associated with modulation technology should be analyzed and the best signal candidates should be chosen carefully via the trade-off analysis for FoMs. In this paper, we define the modulation technique based on Phase Shift Keying (PSK), Binary Offset Carrier (BOC) and Continuous Phase Modulation (CPM) for the design of KPS signals, and the FoMs of signals in terms of spectrum and correlation function are evaluated. Signals with various modulation techniques are implemented through a numerical simulation, and the relevant FoMs are analyzed.

Application of EDA Techniques for Estimating Rainfall Quantiles (확률강우량 산정을 위한 EDA 기법의 적용)

  • Park, Hyunkeun;Oh, Sejeong;Yoo, Chulsang
    • KSCE Journal of Civil and Environmental Engineering Research
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    • v.29 no.4B
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    • pp.319-328
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    • 2009
  • This study quantified the data by applying the EDA techniques considering the data structure, and the results were then used for the frequency analysis. Although traditional methods based on the method of moments provide very sensitive statistics to the extreme values, the EDA techniques have an advantage of providing very stable statistics with their small variation. For the application of the EDA techniques to the frequency analysis, it is necessary to normalization transform and inverse-transform to conserve the skewness of the raw data. That is, it is necessary to transform the raw data to make the data follow the normal distribution, to estimate the statistics by applying the EDA techniques, and then finally to inverse-transform the statistics of transformed data. These statistics decided are then applied for the frequency analysis with a given probability density function. This study analyzed the annual maxima one hour rainfall data at Seoul and Pohang stations. As a result, it was found that more stable rainfall quantiles, which were also less sensitive to extreme values, could be estimated by applying the EDA techniques. This methodology may be effectively used for the frequency analysis of rainfall at stations with especially high annual variations of rainfall due to climate change, etc.

Techniques for Hazard Analysis of Curved Road Based on USN (굴곡 도로를 위한 USN 기반 위험 분석 기술)

  • Ko, Ik-June;Oh, Byoung-Woo
    • Spatial Information Research
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    • v.17 no.1
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    • pp.25-37
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    • 2009
  • In this paper, we propose techniques for hazard analysis of curved road based on USN. The techniques consist of models and algorithms. Models of curved road, road direction, sensor, vehicle and hazard are proposed. To analyze hazard in curved road and give warning to corresponding vehicle in realtime multi-level algorithms are proposed. An application program implements the models and algorithms to simulate proposed techniques with real-time visualization.

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Surface Analysis Techniques for Studying Optical Degradation of Solar Coatings (태양에너지 박막의 광퇴화 연구를 위한 표면분석)

  • Lee, Kil-Dong
    • Journal of the Korean Solar Energy Society
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    • v.29 no.2
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    • pp.55-61
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    • 2009
  • This paper reviews the state-of-the art in surface analysis techniques for solar coatings. For analyzing solar coatings and interfaces, surface properties were very important factor for obtaining the information related to the optical degradation processes and microstructure. Various types of analytical techniques for chemical composition, microstructure and surface topography analysis of solar coatings were discussed. In addition, the examples of solar selective coating analysis results for applications were demonstrated. Development and analysis technique of solar coating for energy conservation was felt to be necessary at this time.

Fusion Techniques Comparison of GeoEye-1 Imagery

  • Kim, Yong-Hyun;Kim, Yong-Il;Kim, Youn-Soo
    • Korean Journal of Remote Sensing
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    • v.25 no.6
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    • pp.517-529
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    • 2009
  • Many satellite image fusion techniques have been developed in order to produce a high resolution multispectral (MS) image by combining a high resolution panchromatic (PAN) image and a low resolution MS image. Heretofore, most high resolution image fusion techniques have used IKONOS and QuickBird images. Recently, GeoEye-1, offering the highest resolution of any commercial imaging system, was launched. In this study, we have experimented with GeoEye-1 images in order to evaluate which fusion algorithms are suitable for these images. This paper presents compares and evaluates the efficiency of five image fusion techniques, the $\grave{a}$ trous algorithm based additive wavelet transformation (AWT) fusion techniques, the Principal Component analysis (PCA) fusion technique, Gram-Schmidt (GS) spectral sharpening, Pansharp, and the Smoothing Filter based Intensity Modulation (SFIM) fusion technique, for the fusion of a GeoEye-1 image. The results of the experiment show that the AWT fusion techniques maintain more spatial detail of the PAN image and spectral information of the MS image than other image fusion techniques. Also, the Pansharp technique maintains information of the original PAN and MS images as well as the AWT fusion technique.

A Study of Paper Couture Based on Paper Modeling Techniques

  • Hong, Sungsun
    • Journal of Fashion Business
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    • v.18 no.3
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    • pp.73-90
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    • 2014
  • Paper, once known and used only as a medium for printing or handicrafts, is now being used in new fields including artistic clothing, and an environment-friendly material for fashion, while the functionality of its formative characteristics and esthetics have been newly highlighted. On this basis, this study performed a content analysis of paper couture and categorization of types of paper modeling techniques based on 904 paper couture submitted to paper fashion shows, exhibitions and contest exhibits from 2001 to 2013. Analysis results showed that paper textile types were most common at 86.64%, while techniques using laminating, bonding, overlapping or paper as-is represented 62.17%. Expressive techniques in which paper was cut or torn and attached to paper clothing was 11.62%, paper folding was 5.75%, drawing and coloring 4.65%, and finally, paper cutting was 2.65%. Meanwhile, among paper modeling techniques using paper yarn textiles, a paper weaving technique was 6.75%. Moreover, other techniques in which paper modeling techniques or subsidiary clothing was blended were 3.65%, and Dak peeling textiles were 1.33%. Paper paste moulding textiles types represented 1.44%, above all papier $m{\hat{a}}ch{\acute{e}}$ techniques of 0.55% and creasing and holding techniques were 0.88%. Paper is sufficient to express the artists' creativity as well as having qualities as an artistic medium, such as variability through combined use with other materials, variation in form, suitability for reuse of waste paper, and environmental friendliness. Also, various paper modeling techniques can be blended with textiles for a generalized technology that overcomes the limits of paper and textiles.

NMR Techniques for the Structure Elucidation and Conformational Analysis of Natural Products

  • Cordell, Geoffrey A.
    • Korean Journal of Pharmacognosy
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    • v.19 no.3
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    • pp.153-169
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    • 1988
  • The combined use of the J-modulated selective INEPT and CSCM 1DNMR techniques is described for the structure elucidation of several new classes of compound including prionitin, the loureirins and larreantin, and for the regiosubstitution of the furanonaphthoquinones. Spectroscopic studies on the conformation of the cytotoxic agent savinin are also described, together with the NMR assignments and preliminary biosynthetic experiments on the antitumor antibiotic staurosporine.

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Development of Drift Design Method Considering Characteristics of Member Forces (부재력 특성을 고려한 변위조절설계법 개발)

  • 서지현;박효선
    • Proceedings of the Computational Structural Engineering Institute Conference
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    • 2003.10a
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    • pp.123-129
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    • 2003
  • Drift design using resizing techniques can be a very practical method in drift design of high-rise buildings since it cannot require sensitivity analysis and structural re-analysis. Resizing techniques has used the cross sectional areas as design variable and supposed that displacement participation factors are inversely proportional to structural weights. Efficiency of resizing techniques based on displacement participation factors may depend on proper selection of sectional properties as design variables. In this study, two different drift design methods with the different sectional properties as design variables are presented and applied to a 20-story structure.

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Comparative Study on Statistical Packages for using Multivariate Q-technique

  • Choi, Yong-Seok;Moon, Hee-jung
    • Communications for Statistical Applications and Methods
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    • v.10 no.2
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    • pp.433-443
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    • 2003
  • In this study, we provide a comparison of multivariate Q-techniques in the up-to-date versions of SAS, SPSS, Minitab and S-plus well known to those who study statistics. We can analyze data through the direct Input method(command) in SAS and use of menu method in SPSS, Minitab and S-plus. The analysis performance method is chosen by the high frequency of use. Widely we compare with each Q-techniques form according to input data, input option, statistical chart and statistical output.

The Comparison of Singular Value Decomposition and Spectral Decomposition

  • Shin, Yang-Gyu
    • Journal of the Korean Data and Information Science Society
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    • v.18 no.4
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    • pp.1135-1143
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    • 2007
  • The singular value decomposition and the spectral decomposition are the useful methods in the area of matrix computation for multivariate techniques such as principal component analysis and multidimensional scaling. These techniques aim to find a simpler geometric structure for the data points. The singular value decomposition and the spectral decomposition are the methods being used in these techniques for this purpose. In this paper, the singular value decomposition and the spectral decomposition are compared.

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