• Title/Summary/Keyword: Higher order spectral analysis

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The Analysis of GOCI CDOM for Observation of Ocean Environment Change (해양환경변화관측을 위한 GOCI CDOM 자료 분석)

  • Jeong, Jong-Chul
    • Journal of Environmental Impact Assessment
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    • v.22 no.4
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    • pp.389-395
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    • 2013
  • Geostationary Ocean Color Imager(GOCI), the World's first spaceborne ocean color observation satellite operated in geostationary orbit, was successfully launched on May 2010. The main missions of GOCI is the coastal environment monitoring of GOCI in order to meet the necessity of long-term climate change monitoring and research. The GOCI have higher spatial resolution than MODIS, $500m{\times}500m$, and 8 spectral ocean color channels. GOCI have a capability for observation on the coastal environment change, GOCI perform the observation with 8 times a day. In this paper, we presented the more improved results for observation on the coastal environment change than MODIS ocean color sensor and detected the spatial difference of CDOM for monitoring coastal environment change.

Characteristics of Bifurcation Phenomena of Symmetric Flow Pattern in a Plane Sudden-Expansion Flow (평면급확장유동내 대칭유동분기현상의 특성에 관한 연구)

  • Cho, Jin-Ho;Lee, Moon-J.;Kim, Ki-Tae
    • Proceedings of the KSME Conference
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    • 2001.06e
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    • pp.33-38
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    • 2001
  • Bifurcation of unstable symmetric flow patterns to stable asymmetric ones in laminar sudden-expansion flow has been numerically investigated. Computations were carried out for an expansion ratio of 3 and over a range of the flow Reynolds numbers by using numerical methods of second-order time accuracy and a fractional-step method that guarantees divergence-free flowfields at all times. The critical Reynolds number above which bifurcation of pitchfork type to asymmetric flow pattern takes place is lower in a flow with a higher expansion ratio, in agreement with the previously reported results. The bifurcation diagrams show that the bifurcation takes place at a Reynolds number, $Re_c = 86.3$, higher than the value that has been reported. The lower critical Reynolds number may be due to deficiencies in their computations which employed SIMPLE-type relaxation methods rather than the initial-value approach of the present study. Characteristics of the flow development during the transition to asymmetric stable flow have been investigated by using spectral analysis of the velocity signals obtained by the simulations.

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GC-MS Analysis of Amur Cork Tree Extract and Its Degradation Products

  • Ahn, Cheun-Soon
    • Journal of the Korean Society of Clothing and Textiles
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    • v.34 no.6
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    • pp.1042-1052
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    • 2010
  • The Degradation of amur cork tree extract is investigated by GC-MS after treating the dye with three thermal degradation systems of, room temperature (RT), $4^{\circ}C$ refrigeration (LT), $100^{\circ}C$ oven (OV), and $H_2O_2$/UV/$O_2$ (PER) degradation system for 0-24 days. It was found that PER degradation system represented the highest intensity of degradation treatment followed by OV treatment among the four degradation parameters. The possible fingerprint products of amur cork tree dye, that yielded 68% (or higher) reliability in the NIST spectral match, were isobenzofuran-1,3-dione,4,5-dimethoxy- (8.37 min, PER only), 1,3-dioxolo[4,5-g]isoquinolin-5(6H)-one,7,8-dihydro (9.41 min, PER only), canthine-6-one (10.24 min, RT, LT, OV only), and dihydroberberine (15.05 min, RT, LT, OV, PER) in the order of higher to lower possibility of detection. Unknown products 7 (13.43 min) and 8 (16.35 min) are two other possible fingerprint products of amur cork tree dye that require future identification.

Energy Efficient Cooperative LEACH Protocol for Wireless Sensor Networks

  • Asaduzzaman, Asaduzzaman;Kong, Hyung-Yun
    • Journal of Communications and Networks
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    • v.12 no.4
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    • pp.358-365
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    • 2010
  • We develop a low complexity cooperative diversity protocol for low energy adaptive clustering hierarchy (LEACH) based wireless sensor networks. A cross layer approach is used to obtain spatial diversity in the physical layer. In this paper, a simple modification in clustering algorithm of the LEACH protocol is proposed to exploit virtual multiple-input multiple-output (MIMO) based user cooperation. In lieu of selecting a single cluster-head at network layer, we proposed M cluster-heads in each cluster to obtain a diversity order of M in long distance communication. Due to the broadcast nature of wireless transmission, cluster-heads are able to receive data from sensor nodes at the same time. This fact ensures the synchronization required to implement a virtual MIMO based space time block code (STBC) in cluster-head to sink node transmission. An analytical method to evaluate the energy consumption based on BER curve is presented. Analysis and simulation results show that proposed cooperative LEACH protocol can save a huge amount of energy over LEACH protocol with same data rate, bit error rate, delay and bandwidth requirements. Moreover, this proposal can achieve higher order diversity with improved spectral efficiency compared to other virtual MIMO based protocols.

Higher Order Spectral Analysis of Non-linear Pitching Motion (고차스펙트럼을 이용한 선체 종동요의 비선형적 거동에 관한 해석)

  • Kang, Byung-Ho;Carlos, Miguel Mejia;Kim, Tae-Ho;Park, Jun-Mo;Kong, Gil-Young
    • Journal of Navigation and Port Research
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    • v.41 no.1
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    • pp.1-8
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    • 2017
  • The estimation of non-linear ship motion is one of the most important issues in recent studies of ship stability. In this paper, bispectral analysis and bicoherence analysis were introduced in order to analyze the non-linear ship motion. In addition to the previously observed non-linear pitching motion in following seas, this study observed the non-linear phase coupling of pitching motion in following & quartering seas, and starboard beam seas. By comparing phase coupling between each frequency quantitatively via the bicoherence analysis, it was confirmed that non-linear phase coupling was much stronger in frequency regions other than the peak frequencies of a power spectrum. Furthermore, it was found out that the results of bicoherence calculation were analagous to each other, although the different normalization methods were applied.

Analysis of Chlorophyll Reflectance and Assessment of Trophic State for Daecheong Reservoir Using Remote Sensing (클로로필의 반사특성 분석과 원격탐측을 이용한 대청호의 영양상태 평가)

  • Kim, Tae-Geun;Kim, Tae-Seung;Cho, Gi-Sung;Kim, Hwan-Gi
    • Journal of Korean Society for Geospatial Information Science
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    • v.4 no.2 s.8
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    • pp.35-45
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    • 1996
  • The reflectance of chlorophyll was measured using UV-VIS spectrophotometer with the reflectance integrator in the laboratory in order to define its spectral characteristics. Sharp peaks appear at around 485nm and 655nm due to fluorescence and scattering, and the reflectance of chlorophyll increases at 580nm. With the increase in the chlorophyll concentration, the reflectance also increases. We have applied TM data to the reflectance spectrum of chlorophyll and have developed two formula with which one can estimate the chlorophyll concetration. Satellite re sensing, with its synoptic overage, is used to obtain the chlorophyll concentration in Daecheong reservoir. The approach involved acquisition of water quality samples front boat simultaneous with Landsat 5 satellite overpass. The remotely-sensed data and the ground truth data were obtained oil 20 June 1995 and on 18 March 1996. Regression models have been developed between the chlorophyll concentration and Landsat Thematic Mapper digital data. As the regression model was determined based on the correlation coefficient which was higher than 0.7 and the spectral characteristics of chlorophyll, and we have applied it to the entire study area to genelate a distribution map of trophic state. According to the trophic state map made based upon Aizaki's TSI and chlorophyll a concentration, the area where Okchun stream was flowing into was shown to be polluted the most all over the Daechung reservoir by showing an eutrophic state in June 1995 and a mesotrophic state in March 1996.

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A Study on the Land Change Detection and Monitoring Using High-Resolution Satellite Images and Artificial Intelligence: A Case Study of Jeongeup City (고해상도 위성영상과 인공지능을 활용한 국토 변화탐지 및 모니터링 연구: 실증대상 지역인 정읍시를 중심으로)

  • Cho, Nahye;Lee, Jungjoo;Kim, Hyundeok
    • Journal of Cadastre & Land InformatiX
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    • v.53 no.1
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    • pp.107-121
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    • 2023
  • In order to acquire a wide range of land that changes in real time and quickly and accurately grasp it, we plan to utilize the recently released high-resolution S.Korea's satellite image data and artificial intelligence (AI). Compared to existing satellite images, the spectral and periodic resolutions of S.Korea's satellite are higher, making them a more suitable data source for periodically monitoring changes in land. Therefore, this study aims to acquire S.Korea's satellite, select 8 types of objects to detect land changes, construct data sets for them, and apply AI models to analyze them. In order to confirm the optimal model and variable conditions for detecting 8 types of objects of various types, several experiments are performed and AI-based image analysis is technically reviewed.

Observer Variation Factor on Advanced Method for Accurate, Robust, and Efficient Spectral Fitting of java Based Magnetic Resonance User Interface for MRS data analysis (java Based Magnetic Resonance User Interface의 Advanced Method for Accurate, Robust, and Efficient Spectral Fitting 분석방법의 관찰자 변동 요소)

  • Lee, Suk-Jun;Yu, Seung-Man
    • Journal of radiological science and technology
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    • v.39 no.2
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    • pp.143-148
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    • 2016
  • The purpose of this study was examined the measurement error factor on AMARES of jMRUI method for magnetic resonance spectroscopy (MRS) quantitative analysis by skilled and unskilled observer method and identified the reason of independent observers. The Point-resolved spectroscopy sequence was used to acquired magnetic resonance spectroscopy data of 10 weeks male Sprague-Dawley rat liver. The methylene protons ($(-CH_{2-})n$) of 1.3 ppm and water proton ($H_2O$) of 4.7 ppm ratio was calculated by LCModel software for using the reference data. The seven unskilled observers were calculated total lipid (methylene/water) using the jMRUI AMARES technique twice every 1 week, and we conducted interclass correlation coefficient (ICC) statistical analysis by SPSS software. The inter-observer reliability (ICC) of Cronbach's alpha value was less than 0.1. The average value of seven observer's total lipid ($0.096{\pm}0.038$) was 50% higher than LCModel reference value. The jMRUI AMARES analysis method is need to minimize the presence of the residual metabolite by identified metabolite MRS profile in order to obtain the same results as the LCModel.

A Study to Improve the Classification Accuracy of Mosaic Image over Korean Peninsula: Using PCA and RGB Indices (한반도 모자이크 영상의 분류 정확도 향상 기법 연구: PCA 기법과 RGB 지수를 활용하여)

  • Moon, Jiyoon;Lee, Kwangjae
    • Korean Journal of Remote Sensing
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    • v.38 no.6_4
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    • pp.1945-1953
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    • 2022
  • Korea Aerospace Research Institute produces mosaic images of the Korean Peninsula every year to promote the use of satellite images and provides them to users in the public sector. However, since the pan-sharpening and color balancing methodologies are applied during the mosaic image processing, the original spectral information is distorted. In addition, there is a limit to analyze using mosaic images as mosaic images provide only Red, Green and Blue bands excluding Near Infrared (NIR) band. Therefore, in order to compensate for these limitations, this study applied the Principal Component Analysis (PCA) technique and indices extracted from R, G, B bands together for image classification and compared the classification results. As a result of the analysis, the accuracy of the mosaic image classification result was about 67.51%, while the accuracy of the image classification result using both PCA and RGB indices was about 75.86%, confirming that the accuracy of the image classification result can be improved. As a result of comparing the PCA and the RGB indices, the accuracy of the image classification result was about 64.10% and 74.05% respectively. Through this, it was confirmed that the classification accuracy using the RGB indices was higher among the two techniques, and implications were derived that it was important to use high quality reference or supplementary data. In the future, additional indices and techniques are needed to improve the classification and analysis results of mosaic images, and related research is expected to increase the utilization of images that provide only R, G, B or limited spectral information.

Waveform analysis of leakage current on silicon insulator for various environment condition variation (환경조건변화에 대한 실리콘애자의 누설전류 파형분석)

  • Park, Jae-Jun
    • The Journal of Information Technology
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    • v.7 no.2
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    • pp.69-76
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    • 2004
  • This paper presents the results of spectral analysis about waveforms and leakage current waveforms on contaminated silicon insulators under various environment conditions.(salt fog, clean fog, rain). The larger the leakage current during 200ms, the higher the power spectrum at 60Hz. If contaminated insulators suffers from high salt density fog, the leakage current occurs with high crest value intermittently, results in the low spectrum. Analysis of leakage current data showed that this electrical activity was characterized by transient arcing behavior contaminants are deposited on the insulator surface during salt fog tests. This provides a path for the leakage current to flow along the surface of the insulator. It is important to have an indication of the pollution accumulation in order to evaluate the test performance of a particular insulator. If the drop in surface resistivity is severe enough, then the leakage current may escalate into service interrupting flashover that degrade power quality.

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