Дисертації з теми "Spectral mixtures"
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Ajohani, Maha. "SPECTRAL PHASOR ANALYSIS ON ABSORBANCE SPECTRA FOR QUANTIFYING THE CONTENT OF DYE MIXTURES." Miami University / OhioLINK, 2016. http://rave.ohiolink.edu/etdc/view?acc_num=miami1464191406.
Повний текст джерелаVlack, Yvette A. "A Diffuse Spectral Reflectance Library of Clay Minerals and Clay Mixtures within the VIS/NIR Bands." Kent State University / OhioLINK, 2008. http://rave.ohiolink.edu/etdc/view?acc_num=kent1227006436.
Повний текст джерелаLuo, Zhaohui. "GC/FT-ICR Mass Spectral Analysis of Complex Mixtures: A Multidimensional Approach for Online Gas Phase Basicity Measurements." Fogler Library, University of Maine, 2006. http://www.library.umaine.edu/theses/pdf/LuoZX2006.pdf.
Повний текст джерелаRaksuntorn, Nareenart. "Unsupervised spectral mixture analysis for hyperspectral imagery." Diss., Mississippi State : Mississippi State University, 2009. http://library.msstate.edu/etd/show.asp?etd=etd-04192009-142516.
Повний текст джерелаLevi, Di Leon Rémi. "Etude théorique et expérimentale de l'absorption par CO2 et H2O dans le domaine infrarouge à température élevée." Châtenay-Malabry, Ecole centrale de Paris, 1986. http://www.theses.fr/1986ECAP0026.
Повний текст джерелаParra, Vásquez Gabriel Enrique. "Spectral mixture kernels for Multi-Output Gaussian processes." Tesis, Universidad de Chile, 2017. http://repositorio.uchile.cl/handle/2250/150553.
Повний текст джерелаMulti-Output Gaussian Processes (MOGPs) are the multivariate extension of Gaussian processes (GPs \cite{Rasmussen:2006}), a Bayesian nonparametric method for univariate regression. MOGPs address the multi-channel regression problem by modeling the correlation in time and/or space (as scalar GPs do), but also across channels and thus revealing statistical dependencies among different sources of data. This is crucial in a number of real-world applications such as fault detection, data imputation and financial time-series analysis. Analogously to the univariate case, MOGPs are entirely determined by a multivariate covariance function, which in this case is matrix valued. The design of this matrix-valued covariance function is challenging, since we have to deal with the trade off between (i) choosing a broad class of cross-covariances and auto-covariances, while at the same time (ii) ensuring positive definiteness of the symmetric matrix containing these scalar-valued covariance functions. In the stationary univariate case, these difficulties can be bypassed by virtue of Bochner's theorem, that is, by building the covariance function in the spectral (Fourier) domain to then transform it to the time and/or space domain, thus yielding the (single-output) Spectral Mixture kernel \cite{Wilson:2013}. A classical approach to define multivariate covariance functions for MOGPs is through linear combinations of independent (latent) GPs; this is the case of the Linear Model of Coregionalization (LMC \cite{goo1997}) and the Convolution Model \cite{Alvarez:2008}. In these cases, the resulting multivariate covariance function is a function of both the latent-GP covariances and the linear operator considered, which usually results in symmetric cross-covariances that do not admit lags across channels. Due to their simplicity, these approaches fail to provide interpretability of the dependencies learnt and force the auto-covariances to have similar structure. The main purpose of this work is to extend the spectral mixture concept to MOGPs: We rely on Cram\'er's theorem \cite, the multivariate version of Bochner's theorem, to propose an expressive family of complex-valued square-exponential cross-spectral densities, which, through the Fourier transform yields the Multi-Output Spectral Mixture kernel (MOSM). The proposed MOSM model provides clear interpretation of all the parameters in spectral terms. Besides the theoretical presentation and interpretation of the proposed multi-output covariance kernel based on square-exponential spectral densities, we inquiry the plausibility of complex-valued t-Student cross-spectral densities. We validate our contribution experimentally through an illustrative example using a tri-variate synthetic signal, and then compare it against all the aforementioned methods on two real-world datasets.
Stuttle, Matthew Nicholas. "A gaussian mixture model spectral representation for speech recognition." Thesis, University of Cambridge, 2003. http://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.620077.
Повний текст джерелаRaman, Pujita. "Speaker Identification and Verification Using Line Spectral Frequencies." Thesis, Virginia Tech, 2015. http://hdl.handle.net/10919/52964.
Повний текст джерелаMaster of Science
Gurden, Stephen P. "Deconvolution of vapour-phase mid-infrared mixture spectra of organic solvents using chemometrics." Thesis, University of Bristol, 1996. http://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.337176.
Повний текст джерелаKressler, Florian. "The Integration of Remote Sensing and Ancillary Data." WU Vienna University of Economics and Business, 1996. http://epub.wu.ac.at/4256/1/WSG_RR_0896.pdf.
Повний текст джерелаSeries: Research Reports of the Institute for Economic Geography and GIScience
Khiry, Manal Awad. "Spectral Mixture Analysis for Monitoring and Mapping Desertification Processes in Semi-arid Areas in North Kordofan State, Sudan." Doctoral thesis, Saechsische Landesbibliothek- Staats- und Universitaetsbibliothek Dresden, 2007. http://nbn-resolving.de/urn:nbn:de:swb:14-1187262045124-42224.
Повний текст джерелаAccioly, Luciano Jose de Oliveira. "Applying Spectral Mixture Analysis (SMA) For Soil Information Extraction On The Airborne Visible/Infrared Imaging Spectrometer (AVIRIS) Data." Diss., The University of Arizona, 1997. http://etd.library.arizona.edu/etd/GetFileServlet?file=file:///data1/pdf/etd/azu_e9791_1997_400_sip1_w.pdf&type=application/pdf.
Повний текст джерелаPasero, Carolina, dipartimento di Biotecnologie, Chimica e. Farmacia, and Università degli studi di Siena. "A SERENDIPITOUS DISCOVERY THAT LED TO THE IDENTIFICATION OF ALKYL-GUANIDINE OLIGOMERS AS DEVELOPABLE ANTIBACTERIAL AGENTS." Doctoral thesis, Università di Siena, 2018. http://hdl.handle.net/11365/1047317.
Повний текст джерелаWang, Yunli. "Mass Spectrum Analysis of a Substance Sample Placed into Liquid Solution." Thesis, North Dakota State University, 2011. https://hdl.handle.net/10365/28881.
Повний текст джерелаWang, Yujia. "Assessing Bald Cypress (Taxodium distichum) Tree Dynamic Change in USF Forest Preserve Area Using Mixture-Tuned Matched Filtering and Multitemporal Satellite Imagery." Scholar Commons, 2018. https://scholarcommons.usf.edu/etd/7375.
Повний текст джерелаWeng, Fenqing. "Mapping and Assessing Urban Impervious Areas Using Multiple Endmember Spectral Mixture Analysis: A Case Study in the City of Tampa, Florida." Scholar Commons, 2012. http://scholarcommons.usf.edu/etd/4253.
Повний текст джерелаXiao, Ying. "New tools for unsupervised learning." Diss., Georgia Institute of Technology, 2014. http://hdl.handle.net/1853/52995.
Повний текст джерелаWesterlund, Annie M. "Computational Study of Calmodulin’s Ca2+-dependent Conformational Ensembles." Licentiate thesis, KTH, Biofysik, 2018. http://urn.kb.se/resolve?urn=urn:nbn:se:kth:diva-234888.
Повний текст джерелаQC 20180912
Loum, Mor Absa. "Modèle de mélange et modèles linéaires généralisés, application aux données de co-infection (arbovirus & paludisme)." Thesis, Université Paris-Saclay (ComUE), 2018. http://www.theses.fr/2018SACLS299/document.
Повний текст джерелаWe are interested, in this thesis, to the study of mixture models and generalized linear models, with an application to co-infection data between arboviruses and malaria parasites. After a first part dedicated to the study of co-infection using a multinomial logistic model, we propose in a second part to study the mixtures of generalized linear models. The proposed method to estimate the parameters of the mixture is a combination of a moment method and a spectral method. Finally, we propose a final section for studing extreme value mixtures under random censoring. The estimation method proposed in this section is done in two steps based on the maximization of a likelihood
Miyajima, Chiyomi, Yoshihiro Nishiwaki, Koji Ozawa, Toshihiro Wakita, Katsunobu Itou, Kazuya Takeda, and Fumitada Itakura. "Driver Modeling Based on Driving Behavior and Its Evaluation in Driver Identification." IEEE, 2007. http://hdl.handle.net/2237/9623.
Повний текст джерелаPedrassoli, Julio Cesar. "Habitação e sensoriamento remoto: uma análise da expansão urbana na RMSP por meio de imagens de satélite aplicando o modelo linear de mistura espectral." Universidade de São Paulo, 2016. http://www.teses.usp.br/teses/disponiveis/8/8136/tde-13022017-124413/.
Повний текст джерелаThe objective of this research is to analyze, in a period of 30 years, the urban sprawl of Sao Paulo city and the municipalities of São Paulo Metropolitan Region (SPMR) using orbital images obtained by Landsat series in 1986, 1989, 2000, 2006, 2010, and 2015, applying the Linear Spectral Mixture Model (LSMM) and the use of global reference endmembers. The data obtained using the LSMM were associated to information on formal and informal housing production, considering the vertical real estate development, the slums and the informal neighborhoods (from 1985 to 2015), making possible to understand the housing production in the region in the time period analyzed. For each Landsat scene, image fractions were calculated in relation to the Substrate fraction (high albedo), Vegetation Fraction (biomass) and Shadow fraction (low albedo). In the development of the work, is proposed a methodology to modeling the changes in land use/land cover associated with the housing production through the temporal correlation between the fractions. Each image fraction was aggregated at three levels of scale: the scale of the image itself (30m pixel), the intra urban scale (census tracts and districts) and regional scale (limits of the SPMR) allowing, in the intra urban range, the association of information extracted from the LSMM, the housing production and the census demographic data from 1991, 2000 and 2010. The model results show that the vertical housing production areas, in the analyzed period, are detected by a negative correlation between substrate and shadow fractions, showing that the shadow increase in these areas are accompanied by a decrease in the substrate fraction detection, while in areas of precarious housing (slums and informal neighborhoods) the model detects a negative correlation between vegetation ad substrate fractions and also between the substrate and shadow fractions, indicating the increase of substrate for both cases over time. The results also show high positional fidelity and possibility of a general application of the proposed model for other categories of land use/land cover changes, showing the possibility of generalization of the technique proposed here.
Velho, Luiz Felipe. "Análise da temperatura de superfície e da ocupação urbana no município de Porto Alegre." reponame:Biblioteca Digital de Teses e Dissertações da UFRGS, 2014. http://hdl.handle.net/10183/131947.
Повний текст джерелаThe urbanization modifies the landscape, promoting changes from natural to man-made environment. Besides the impermeable soil, the urban areas have a lot of buildings, that changes the surface roughness, the wind speed and direction and also are responsible for shading the surface, blocking the incidence of solar energy. Analysing the city occupation geometry is important to understanding of the urban climate behaviour, and naturally the city planning. Remote sensing is a very important tool to get information about the urban areas, but is necessary to consider the heterogeneity of this environment and the existing spectral mixing in satellite data. Based on this, the linear model of spectral mixing can be classified as an important method of information extraction from urban environments. The goal of this research is to identify areas with horizontal and vertical patterns of urban occupation in the city of Porto Alegre – Brazil and relate this geometric characteristic with values of surface temperature. Therefore, images of the TM sensor of the Landsat 5 satellite were used (during the 1984-2009 period) and also the census data, meteorological data and models generated by laser scanning. Three fraction images were generated based on TM images: soil, shade and vegetation. The soil fraction was used for the identification of the areas with horizontal occupation and urban expansion, and the shadow fraction was used to identify verticalized areas. Based on the same images the surface temperature was obtained. Areas with horizontal occupation, mostly represented by houses, presented low shading values and high soil values. On the other hand, verticalized areas presented high shading values and low soil values. These results, obtained from the images fraction, are similar with the results from scientific papers and data from laser scanning. In Porto Alegre, the surface temperature indicated strong correlation with meteorological data, and was characterized by higher values in urbanized areas and lower values where the occupation is least intense. In urban areas, higher values of temperature are found in areas with horizontal occupation pattern, while the lowest values are found in verticalized regions. Furthermore, it is possible to suggest that the chosen methodology lead to conclusions that are consistent with other data of land use and occupation from different sources. Contributing with some information about characteristics of the urban area and urban climate of the city of Porto Alegre, which are usually not well documented in academic databases.
Oprisan, Ana. "Fluctuations, Phase Separation and Wetting Films near Liquid-Gas Critical Point." ScholarWorks@UNO, 2006. http://scholarworks.uno.edu/td/435.
Повний текст джерелаChu, Shuyu. "Change Detection and Analysis of Data with Heterogeneous Structures." Diss., Virginia Tech, 2017. http://hdl.handle.net/10919/78613.
Повний текст джерелаPh. D.
Caliot, Cyril. "Modélisation et simulation de l'émission énergétique et spectrale d'un jet réactif composé de gaz et de particules à haute température issus de la combustion d'un objet pyrotechnique." Phd thesis, Institut National Polytechnique de Toulouse - INPT, 2006. http://tel.archives-ouvertes.fr/tel-00271463.
Повний текст джерелаAmaral, Cibele Hummel do. "Sensoriamento remoto hiperespectral e definição de espécies indicadoras aplicados à geobotânica no bioma cerrado." Universidade de São Paulo, 2015. http://www.teses.usp.br/teses/disponiveis/44/44137/tde-27042015-105259/.
Повний текст джерелаGeobotany via remote sensing is a technique for obtaining indirect geological information in vegetated areas and presents great perspectives by its capability for field work optimization and target generation to be evaluated afterwards. The aim of this research was to perform the spectral discrimination of Neotropical tree species (at leaf and crown levels) which are locally associated to geological facies and formations in the Mogi-Guaçu Ecological Station, in southeastern Brazil. Data from 70 sampling units, such as soils and sediments texture, soils chemistry, groundwater level, elevation (digital terrain model), plant sociology and vegetation physiology/structure (hyperspectral vegetation indices), were mined and analyzed through the vetorial quantization method called Self-Organizing Maps (SOM; Kohonen, 1982). Inga veraWilld. subsp. affinis(DC.) T.D. Penn (INVE) and Calophyllum brasiliense Cambess. (CABR) demonstrated to be associated to the floodplain, including paleochannels (Alluvial Deposits sequence), with clayey-silty sediments. Qualea grandifloraMart. (QUGR) and Tabebuia ochracea(Cham.) Standl. (TAOC) were sampled on hills and plateaus of the Aquidauna Formation, which stood out for higher fine, medium and coarse sand contents and lower silt content. Cedrela fissilisVell. (CEFI) and Zeyheria tuberculosa(Vell.) Bur. (ZETU) showed be associated to one outcrop facies of the Aquidauna Formation, with distinctive presence of coarse and very coarse sandas well as lower silt and very fine sand contents. Biochemical and spectral (400-2.500 nm, FieldSpec Hi-Res 3) data were collected from the leaves of the first five species, during both rainy and dry seasons. Their spectra were classified through Multiple Endmember Spectral Mixture Analysis(MESMA). All target species were well discriminated at leaf scale. Considering the best classification results per spectral range, user\'s and producer\'s accuracies were always higher than 87,5%. These results seem to be linked to the great biochemical variability of their leaves. The intra and interspecific variability of biochemical compounds were correlated with spectral variability. The spectral discrimination at crown scale was performed with two endmembers (EM) via MESMA for CEFI, INVE e QUGR. The 1-m pixels of the preprocessed ProSpecTIR-VS images (530-2.532 nm) were modeled by three EM: EM of the target species, EM of other vegetation classes, and photometric shade. The QUGRclass achieved a relatively lower spectral omission and had no spectra erroneously assigned to its class in the two EM classification, which included other vegetation classes. This classification result was reproduced in the three EM image unmixing. The distribution tendency of that species clearly indicated the hills and plateaus of the Aquidauana Formation in the study area.
Pandini, D. "STUDI PER LA MODELLIZZAZIONE DELLA RIFLETTANZA SPETTRALE NEGLI STRATI PITTORICI." Doctoral thesis, Università degli Studi di Milano, 2012. http://hdl.handle.net/2434/168396.
Повний текст джерелаPhythian, Mark. "Speaker identification for forensic applications." Thesis, Queensland University of Technology, 1998. https://eprints.qut.edu.au/36079/3/__qut.edu.au_Documents_StaffHome_StaffGroupR%24_rogersjm_Desktop_36079_Digitised%20Thesis.pdf.
Повний текст джерелаPradella, Lorenzo. "A data-driven prognostic approach based on AR identification and hidden Markov models." Master's thesis, Alma Mater Studiorum - Università di Bologna, 2020.
Знайти повний текст джерелаDušil, Lubomír. "Automatické rozpoznávání logopedických vad v řečovém projevu." Master's thesis, Vysoké učení technické v Brně. Fakulta elektrotechniky a komunikačních technologií, 2009. http://www.nusl.cz/ntk/nusl-218161.
Повний текст джерелаNam, Anne-Marie. "Contribution de la RMN 13C à l’analyse des huiles végétales, huiles essentielles et résines (Olea europaea, Pinus halepensis et Cedrus atlantica)." Thesis, Corte, 2014. http://www.theses.fr/2014CORT0001/document.
Повний текст джерелаNatural products isolated from plants acquired, in recent years, a growing success in many industries (aromatherapy, cosmetic, perfumes). The objective of our study was to contribute, on the one hand, to the development of methods involving 13C and 1H NMR for the identification and quantification of the components of natural mixtures, and on the other hand, to the chemical characterization of two conifers brought to Corsica, Aleppo pine (essential oil) and atlas cedar (essential oil, pyrolysis oil and resins).The first part concerned the quantification of squalene present in olive oil. Indeed, linear triterpene participated in the oxidative stability of olive oil and play an important role by decreasing some kind of cancers risks. It’s deal with to elaborate an experimental part based on NMR 1H and 13C by using routine apparatus (9.4 Tesla). Quantification by NMR 13C is reliable and have been applied to squalene quantification in 25 samples of Corsican olive oil.The second part of our work concerned the chemical characterization of the essential oil of Aleppo pine brought to Corsica in three different stations (Capo di Feno, Saleccia and Tre Padule de Suartone). A detailed analysis of cone essential oil, using the combination of chromatographic and spectroscopic techniques, leads to the identification of 48 compounds. Chemical composition is extensively dominated by monoterpens (Alpha-pinene and myrcene) and one olefinic sesquiterpen ((E)-Béta-caryophyllene). 13C NMR allowed to the identification of various diterpens, particularly the 8,12-epoxy-14-labden-13-ol. This compound is described for the first time in aleppo pine essential oil. Fifteen samples of cone essential oil were analysed allowing differentiating three kinds of compositions: Alpha-pinene; myrcene; Alpha-pinene/myrcene. Finally, analysis of 47 samples of needles essential oil, associated with statistical treatment of the results (PCA and PFA), suggested the occurrence of an intraspecific chemical variability. Samples are divided into three groups, based on their high contents in (E)-Béta-caryophyllene (groupe I), in (E)-Béta-caryophyllene/Alpha-pinene/myrcene (groupe II) and in myrcene (groupe III).The last part concerned the study of Cedrus atlantica. A detailed analysis of commercial essential oil leads to the identification of 20 constituents. Main compounds are Alpha-, Béta- and Gamma-himachalene. Moreover, seven compounds, not yet referenced in our home-made NMR spectral data library, were identified by NMR 13C. Chemical compositions of handwork pyrolysis oils from Morocco were also dominated by the himachalene’s and (E)--atlantone. Qualitative and quantitative analysis of 28 samples of Cedrus atlantica resins, obtained from the five Corsican forests referenced by the Office National des Forêts of Corsica (Bavella, Bonifato, Ospedale, Pineta and Vizzavona) have been done, without any step of chromatography. Beside resinic acids, we have been identified three lignans (pinoresinol, lariciresinol and lariciresinol-9-acetate). Qualitative and quantitative analysis of these compounds, leads to the occurrence of three types of chemical composition. Finally, we have developed and validated a method for quantification of lignans by 1H NMR
George, Elizabeth Baby. "Hyperspectral remote sensing for soil property estimation in the context of spectral mixtures." Thesis, 2022. https://etd.iisc.ac.in/handle/2005/5995.
Повний текст джерелаChang, Chia-Yuan, and 張嘉元. "Verification Of Linear Spectral Mixture Analysis Using Brain Phantom." Thesis, 2012. http://ndltd.ncl.edu.tw/handle/35574176493284843699.
Повний текст джерела東海大學
資訊工程學系
100
The technique of Linear Spectral Unmixing, which is widely used in remote sensing, has recently been applied to analyze MRI images. Linear Spectral Unmixing is a technique normally used in Hyperspectral images to sense target sub-pixels and classify materials accordingly. In remote sensing, the dimensions of an object of interest are usually smaller than ground resolution. Due to an increased difficulty in identifying objects of a smaller dimension, subpixel object sensing can thus be used to recognize an object. The computer simulation brain images and real brain MRI scans are usually analyzed in the experiments of applying Linear Spectral Unmixing in MRI. Although there exists ground truth on the computer simulation data of brain tissues, an image cannot be created by subpixels in computer simulation images. It is impractical to quantize a real human brain from MRI; as such, the quantization process is completed by a professional physician. Thus, it is not yet verified that whether the method of Linear Spectral Unmixing achieves the sense of subpixels. In this research, a phantom has been made and its subpixels from MRI obtained to verify the sense and quantization capability of subpixel objects by the approach of Linear Spectral Unmixing. Compared with the real ratio in the phantom, the method of Linear Spectral Unmixing is able to obtain the percentages of different tissues. It verifies that the approach is able to resolve the defect associated with traditional image processing methods – that is, an inability to sense subpixel – and result in the effective quantization of main brain tissues.
Liu, Chun-You, and 劉俊佑. "Multivariate Curve ResolutionApplied to Separate Mixture Spectra." Thesis, 2008. http://ndltd.ncl.edu.tw/handle/36236544572438739636.
Повний текст джерела國立臺灣大學
電機工程學研究所
96
The multivariate curve resolution- alternative least square, MCR-ALS method is applied to separate metal nanoparticles mixture spectra. The mixture spectra were got from three kinds of methods. First is using Gaussian function to simulate the mixture spectra. Second is using darkfield microscopy system to measure the scattering spectra of gold, sliver nanoparticles and gold nanorods ,and then to do numerical mixture. Third is to do experimental mixture of metal nanoparticles, and then measure the scattering mixture spectra. The constraints conditions, non-negativity and unimodality are used in alternative least square. The concentration metrics represent the quantification information which play an important role in biomedical microarray and diagnosis.
DI, NUZZO Cinzia. "Model selection and mixture approaches in the spectral clustering algorithm." Doctoral thesis, 2022. http://hdl.handle.net/11570/3222428.
Повний текст джерелаShih, Pao-Ming, and 施保名. "High Pressure Structures of Ionic Liquid/ DMSO Mixtures via Infrared Spectra." Thesis, 2011. http://ndltd.ncl.edu.tw/handle/19281921272231052312.
Повний текст джерелаShih, Chieh-Lang, and 施介嵐. "Analyzing the Master Imagery of Taiwan Area with Spectral Mixture Analysis." Thesis, 2004. http://ndltd.ncl.edu.tw/handle/50472061168631210658.
Повний текст джерела國立交通大學
土木工程系所
92
For the hyperspectral images, its feature of a large number of channels and narrow bandwidths, makes it feasible for spectral mixture analysis schemes. The statistics based maximum likelihood classification scheme suffers from the Hughes phenomena with the high dimensional imagery. In this study, both the spectral un-mixing with user defined end members and matched filter approach with the spectral libraries are experimented with the Master data collected for the Taiwan area.
Jian, Ting-Chen, and 陳建廷. "MS/MS Assisted Library Searching of Mixture's Electron Impact Mass Spectra." Thesis, 1994. http://ndltd.ncl.edu.tw/handle/46816325812745167114.
Повний текст джерелаChou, Jen-Hsiang, and 周仁祥. "Study on Multi-walled Carbon Nanotubes Characterization Using Raman Spectral Analysis and Gassian Mixture Modeling." Thesis, 2013. http://ndltd.ncl.edu.tw/handle/rz4z48.
Повний текст джерела國立臺北科技大學
電機工程系博士班
101
Microwave plasma chemical vapor deposition (MPCVD) is used to grow various types of diamond films and carbon nanotubes at various temperatures. However, only actual experience is sufficiently reliable to obtain satisfactory plasma using MPCVD. Therefore, this study uses a reflected power sensor as a reference parameter and a charge-coupled device to observe the plasma image. Manufacturing parameters—such as gas flow rate, input microwave power, working distance, deposition time, chamber pressure, and substrate temperature—were all fixed to grow multi-walled carbon nanotubes (MWCNTs). Independent variables were controlled by adjustments of E-H tuner positions along the x- and y- axes, which directly affect plasma conditions. MWCNT quality indices, MWCNT aspect ratios, and the ID/IG intensity ratio of the MWCNT Raman spectra are considered to grow better-quality MWCNTs using the self-assembled MPCVD system. This study uses empirical mode decomposition and Gaussian mixture modeling (GMM) to analyze functionalized MWCNT Raman spectra. Raman spectra data can be represented by a linear combination of a trend and several Gaussian functions that can be used to characterize MWCNT D and G band patterns. The performance of the method is compared using the floating Gaussian-Lorentz fitting method performance. The results show that the proposed method performs good decomposition for identifying D and G band patterns in MWCNTs. Plasma modeling and control issues are important for MPCVD systems. The tunable reflected microwave power of the MPCVD system is crucial for controlling plasma shape and position. However, modeling the tunable reflected power of microwave plasma is highly complex and is poorly understood. This study uses a 2D GMM to model the microwave power distribution corresponding to the adjustable electromagnetic field. The estimated modeling results show that microwave power data can be simplified as a linear combination of certain Gaussian functions that provide a predictable and controlled basis for real-time tuning of manufacturing parameters and plasma sharpening. The experiment results show that each E-H tuner position fabricates highly reproducible MWCNT films after GMM.
Lu, Shih-Chieh, and 呂仕傑. "Applications of Schiff Base Salen Compounds to Detect Metal Ions by Cholesteric Liquid Crystal Mixtures and CD Spectra." Thesis, 2013. http://ndltd.ncl.edu.tw/handle/33719697358199821445.
Повний текст джерела國立交通大學
材料科學與工程學系所
102
We synthesize a series of compounds with Schiff base Salen ligand which have different chirality, because Salen structure can complex metal ions, we dope these compounds to cholesteric liquid crystals and make them become a liquid crystal chemosensor. The chemosensors can detect metal ions by changing the pitch of cholesteric liquid crystal phases, when the wavelength of reflected light shift, we can see the color of cholesteric liquid crystal phases change by eyes. These liquid crystal mixtures have specific selectivity, only complexing lithium ions (Li+) can change the color of cholesteric liquid crystal phase. The compound has different chirality would make the wavelength of reflected light have different shiht. When two chiral dopants have the same chirality, the color of cholesteric liquid crystal phases would change from green to red, but when two chiral dopants have different chirality, the color of cholesteric liquid crystal phases would change from green to blue. We use FT-IR spectrum to identify the complex ligand of molecule functional groups and use CD spectra to measure molecule chirality.
Khiry, Manal Awad [Verfasser]. "Spectral mixture analysis for monitoring and mapping desertification processes in semi-arid areas in North Kordofan State, Sudan / Manal Awad Khiry." 2007. http://d-nb.info/98584843X/34.
Повний текст джерелаJafari, Reza. "Arid land condition assessment and monitoring using mulitspectral and hyperspectral imagery." 2007. http://hdl.handle.net/2440/41431.
Повний текст джерелаhttp://library.adelaide.edu.au/cgi-bin/Pwebrecon.cgi?BBID=1295218
Thesis (Ph.D.) -- School of Earth and Environmental Science, 2007
Jafari, Reza. "Arid land condition assessment and monitoring using mulitspectral and hyperspectral imagery." Thesis, 2007. http://hdl.handle.net/2440/41431.
Повний текст джерелаThesis (Ph.D.) -- University of Adelaide, School of Earth and Environmental Sciences, 2007
DULINA, ANASTASIIA. "Multivariate analysis in the study of the chemical processes." Doctoral thesis, 2019. http://hdl.handle.net/11573/1348225.
Повний текст джерелаKubečková, Jana. "Mapování vybraných druhů hornin vrcholových partií Krkonoš s využitím laboratorní a obrazové spektroskopie." Master's thesis, 2013. http://www.nusl.cz/ntk/nusl-323456.
Повний текст джерелаFalk, Tiago. "Blind Estimation of Perceptual Quality for Modern Speech Communications." Thesis, 2008. http://hdl.handle.net/1974/1642.
Повний текст джерелаThesis (Ph.D, Electrical & Computer Engineering) -- Queen's University, 2008-12-22 14:54:49.28
Chatterjee, Saikat. "Rate-Distortion Performance And Complexity Optimized Structured Vector Quantization." Thesis, 2008. https://etd.iisc.ac.in/handle/2005/1056.
Повний текст джерелаChatterjee, Saikat. "Rate-Distortion Performance And Complexity Optimized Structured Vector Quantization." Thesis, 2008. http://hdl.handle.net/2005/1056.
Повний текст джерела