• 제목/요약/키워드: Infrared analysis

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수직온도분포 분석을 이용한 몰드변압기 권선의 건전성 평가 연구 (A Study on the Integrity Evaluation of the Windings in Cast Resin Transformers Using Vertical Thermal Distribution Analysis)

  • 김홍래;임용배
    • 조명전기설비학회논문지
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    • 제19권2호
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    • pp.94-99
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    • 2005
  • 본 논문은 수직온도분포 분석을 이용한 몰드변압기 권선의 건전성 평가 방법을 제시하고 있다. 이 방법은 건전 시료의 온도 분포와 가속열화실험에 의해 층간 단락된 고장시료의 온도 분포 비교를 통해 얻어진 결과이다. 분석에 활용된 온도분포는 적외선 열화상 시스템에 의해 취득되었고, 가속 열화시험에는 Arrhenius 방정식이 적용되었다. 제안된 방법은 몰드변압기 고장을 검출하는데 유용할 것이다.

편광 Raman 분광법을 이용한 Syndiotactic Polypropylene에 관한 연구 (Polarized Raman Spectroscopic Studies of Syndiotactic Polypropylene)

  • 진정희;임현주;김성수;송기국
    • 폴리머
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    • 제26권6호
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    • pp.745-751
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    • 2002
  • 본 연구에서는 시료의 형광문제를 제거한 FT-Raman spectrometer을 이용하여 연신된 syndiotactic polypropylene의 비등방적 Raman 산란 특성을 측정하였다. 관찰된 Raman 피크를 해석하여 해당 symmetry species 분류를 목적으로, 입사 및 산란 복사선의 편광방향이 서로 다른 4 가지 편광실험을 수행하여 스펙트럼을 얻었다. 이 편광 Raman 실험 결과를 편광 infrared 실험에 의한 dichroism 결과 및 진동운동의 이론적 계산인 normal coordinate analysis 결과와 비교 분석하였다.

전기난방기구의 경제성 분석 비교 (Economic analysis of Electric heating appliances)

  • 김용하;이광성;남김현;박남철;우성민;김미예;임현성
    • 한국조명전기설비학회:학술대회논문집
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    • 한국조명전기설비학회 2006년도 춘계학술대회 논문집
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    • pp.448-452
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    • 2006
  • Many kinds of electric heating appliance is used by user interface and desire. Far infrared ray heating system can use a kind of main heating appliance. This paper gives un saving amounts, energy curtailment money and payback period between far infrared ray heating system and existing electric heating appliance - EHP, electric air heater, electric radiator, electric floor heating system - from economy analysis.

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Electronic Spectroscopy and Ligand Field Analysis of mer-[Cr(progly)(2,2-tri)]$CIO_4$

  • Park, Jong-Ha
    • Journal of Photoscience
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    • 제9권3호
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    • pp.51-55
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    • 2002
  • The 77 K emission and excitation spectra, and 298 K infrared and absorption spectra of [Cr(progly)(2,2-tri)]CIO$_4$[progly=prolylglycinate,2,2-tri=N-(2-aminoethyl)-1,2-ethanediamine] have been measured. The vibrational intervals of the electronic ground state are extracted from emission and infrared spectra. The twelve electronic bands due to spin-allowed and spin-forbidden transitions were assigned. Using the observed electronic transitions, a ligand field analysis was performed to determine the metaligand bonding properties for the coordinated atoms. It is found that the carboxylate oxygen of the progly is a strong $\sigma$-and $\pi$-donor while the peptide nitrogen has weak $\pi$-donor property toward chromium(III) ion.

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Spectroscopic Properties and Ligand Field Analysis of Pentaammine(imidazole)chromium(III) Perchlorate

  • 최종하
    • Bulletin of the Korean Chemical Society
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    • 제20권1호
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    • pp.81-84
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    • 1999
  • The emission and excitation spectra of [Cr(NH3)5(imH)](ClO4)3·H2O (imH=imidazole) taken at 77 K are reported. The 298 K visible and far-infrared spectra are also measured. The vibrational intervals of the electronic ground state are extracted from the far-infrared and emission spectra. The ten electronic bands due to spin-allowed and spin-forbidden transitions are assigned. Using the observed transitions, a ligand field analysis has been performed to determine the bonding properties of coordinated imidazole in the title chromium(Ⅲ) complex. It is confirmed that nitrogen atom of the imidazole ligand has a medium it-acceptor property toward chromium(Ⅲ) ion. The zero-phonon line in the excitation spectrum splits into two components by 181 cm-1, and the large 2Eg splitting can be reproduced by the ligand field theory.

NOAA/AVHRR 적외 SPLIT WINDOW 자료를 이용한 운형과 하층수증기 분석 (Analysis of Cloud Types and Low-Level Water Vapor Using Infrared Split-Window Data of NOAA/AVHRR)

  • 이미선;이희훈;서애숙
    • 대한원격탐사학회지
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    • 제11권1호
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    • pp.31-45
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    • 1995
  • The values of brightness temperature difference (BTD) between 11um and 12um infrared channels may reflect amounts of low-level water vapor and cloud types due to the different absorptivity for water vapor between two channels. A simple method of classifying cloud types at night was proposed. Two-dimensional histograms of brightness temperature of the 11um channel and the BTD between the split window data over subareas around characteristic clouds such as Cb(cumulonimbus), Ci(cirrus), and Sc(stratocumulus) was constructed. Cb, Ci and Sc can be classified by seleting appropriate thresholds in the two-dimensional histograms. And we can see amounts of low-level water vapor in clear area as well as cloud types in cloudy area in the BTD image. The map of cloud types and low-level water vapor generated by this method was compared with 850hPa and 1000hPa relative humidity(%) of numerical analysis data and nephanalysis chart. The comparisons showed reasonable agreement.

An automated analysis tool for the IR absorption spectra of interstellar ices

  • Kim, Chul-Hwan;Lee, Jeong-Eun;Kim, Jaeyeong;Jeong, Woong-Seob
    • 천문학회보
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    • 제46권1호
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    • pp.57.1-57.1
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    • 2021
  • The icy mantles of interstellar grains are developed by the freeze-out of interstellar molecules and atoms onto grain surfaces. The ice molecules become more complex by surface chemistry induced directly by high energy photons or by the thermal energy diffused over heated grain surface. Therefore, the ice composition is an important tracer of physical conditions where the ices form. Ices have been studied via their absorption features against continuum sources, such as young stellar objects or evolved background stars, in infrared wavelengths. The Spitzer IRS was the most sensitive spectrometer for the observations of infrared ice absorption features. We has been developing an automated analysis tool for the Spitzer IRS spectra, especially for the 15 ㎛ CO2 bending mode. The 15 ㎛ CO2 absorption feature is very useful for the study of accretion process in star formation since its spectral shape varies with thermal condition of the dust grains. Eventually, this tool will cover the whole range of the Spitzer IRS spectrum (5~20 ㎛).

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$TiO_2$ 의 첨가가 Lead-Zinc-Borosilicate 봉착 유리에 미치는 영향 (Effect of $TiO_2$ in the Lead-Zinc-Borosilicate Solder Glass)

  • 채수철;김철영
    • 한국세라믹학회지
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    • 제21권4호
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    • pp.349-354
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    • 1984
  • The purpose of present study is to find the structure crystallization mechanism and physical properties in $TiO_2$ containing lead zinc borosilicate glass system. The experiments such as differential thermal analysis infrared spectral analysis. X-ray diffraction analysis and thermal expansion measurements have been done. Differential thermal analysis of coarse and fine glass powder showed bulk nucleating mechanism for high $TiO_2$ containing glasses and surface nucleation mechanism for low $TiO_2$ containing glasses. The prepared glasses crystallized to crystalline mixture of PbO.2ZnO. $B_2O_3$ .4PbO.2ZnO.$5B_2O_3$and 2PbO.ZnO.$B_2O_3$ when heat-treated in the range of 480 and 51$0^{\circ}C$ and crystallized to PbTiO3 when heat-treated at $600^{\circ}C$. Obtained crystalline phase of $PbTiO_3$ in glass matrix strongly affects to thermal expansion coefficient and the value of crystallized glass varied 68.0 to $107.1{\times}10-7$/$^{\circ}C$ depending on the amount of $TiO_2$added. Infrared spectral analysis showed that [$BO_3$] triangle and [$BO_3$] tetrahedral units were coexisted in the glass with high content of PbO.

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Principal Discriminant Variate (PDV) Method for Classification of Multicollinear Data: Application to Diagnosis of Mastitic Cows Using Near-Infrared Spectra of Plasma Samples

  • Jiang, Jian-Hui;Tsenkova, Roumiana;Yu, Ru-Qin;Ozaki, Yukihiro
    • 한국근적외분광분석학회:학술대회논문집
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    • 한국근적외분광분석학회 2001년도 NIR-2001
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    • pp.1244-1244
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    • 2001
  • In linear discriminant analysis there are two important properties concerning the effectiveness of discriminant function modeling. The first is the separability of the discriminant function for different classes. The separability reaches its optimum by maximizing the ratio of between-class to within-class variance. The second is the stability of the discriminant function against noises present in the measurement variables. One can optimize the stability by exploring the discriminant variates in a principal variation subspace, i. e., the directions that account for a majority of the total variation of the data. An unstable discriminant function will exhibit inflated variance in the prediction of future unclassified objects, exposed to a significantly increased risk of erroneous prediction. Therefore, an ideal discriminant function should not only separate different classes with a minimum misclassification rate for the training set, but also possess a good stability such that the prediction variance for unclassified objects can be as small as possible. In other words, an optimal classifier should find a balance between the separability and the stability. This is of special significance for multivariate spectroscopy-based classification where multicollinearity always leads to discriminant directions located in low-spread subspaces. A new regularized discriminant analysis technique, the principal discriminant variate (PDV) method, has been developed for handling effectively multicollinear data commonly encountered in multivariate spectroscopy-based classification. The motivation behind this method is to seek a sequence of discriminant directions that not only optimize the separability between different classes, but also account for a maximized variation present in the data. Three different formulations for the PDV methods are suggested, and an effective computing procedure is proposed for a PDV method. Near-infrared (NIR) spectra of blood plasma samples from mastitic and healthy cows have been used to evaluate the behavior of the PDV method in comparison with principal component analysis (PCA), discriminant partial least squares (DPLS), soft independent modeling of class analogies (SIMCA) and Fisher linear discriminant analysis (FLDA). Results obtained demonstrate that the PDV method exhibits improved stability in prediction without significant loss of separability. The NIR spectra of blood plasma samples from mastitic and healthy cows are clearly discriminated between by the PDV method. Moreover, the proposed method provides superior performance to PCA, DPLS, SIMCA and FLDA, indicating that PDV is a promising tool in discriminant analysis of spectra-characterized samples with only small compositional difference, thereby providing a useful means for spectroscopy-based clinic applications.

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NEAR-INFRARED STUDIES ON STRUCTURE-PROPERTIES RELATIONSHIP IN HIGH DENSITY AND LOW DENSITY POLYETHYLENE

  • Sato, Harumi;Simoyama, Masahiko;Kamiya, Taeko;Amari, Trou;Sasic, Slobodan;Ninomiya, Toshio;Siesler, Heinz-W.;Ozaki, Yukihiro
    • 한국근적외분광분석학회:학술대회논문집
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    • 한국근적외분광분석학회 2001년도 NIR-2001
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    • pp.1281-1281
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    • 2001
  • Near-infrared (NIR) spectra have bean measured for high-density (HDPE), linear low-density (LLDPE), and low-density (LDPE) polyethylene in pellet or thin films. The obtained spectra have been analyzed by conventional spectroscopic analysis methods and chemometrics. By using the second derivative, principal component analysis (PCA), and two-dimensional (2D) correlation analysis, we could separate many overlapped bands in the NIR. It was found that the intensities of some bands are sensitive to density and crystallinity of PE. This may be the first time that such bands in the NIR region have ever been discussed. Correlations of such marker bands among the NIR spectra have also been investigated. This sort of investigation is very important not only for further understanding of vibration spectra of various of PE but also for quality control of PE by vibrational spectroscopy. Figure 1 (a) and (b) shows a NIR reflectance spectrum of one of the LLDPE samples and that of PE, respectively. Figure 2 shows a PC weight loadings plot of factor 1 for a score plot of PCA for the 16 kinds of LLDPE and PE based upon their 51 NIR spectra in the 1100-1900 nm region. The PC loadings plot separates the bands due to the $CH_3$ groups and those arising form the $CH_2$ groups, allowing one to make band assignments. The 2D correlation analysis is also powerful in band enhancement, and the band assignments based upon PCA are in good agreement with those by the 2D correlation analysis.(Figure omitted). We have made a calibration model, which predicts the density of LLDPE by use of partial least square (PLS) regression. From the loadings plot of regression coefficients for the model , we suggest that the band at 1542, 1728, and 1764 nm very sensitive to the changes in density and crystalinity.

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