Дисертації з теми "Variability analyzing"
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S, Alhalalmeh, A. Pecherska, and O. N. Velichko. "Main aspects of developing an information system for heart rate variability analyzing." Thesis, ХМУ, 2019. http://openarchive.nure.ua/handle/document/10027.
Повний текст джерелаBhandari, Ranjit. "ANALYZING STREAMFLOW VARIABILITY UNDER CMIP5 PROJECTIONS USING SWAT MODEL." OpenSIUC, 2018. https://opensiuc.lib.siu.edu/theses/2363.
Повний текст джерелаGriesser, Thomas. "Reconstruction of global upper-level circulation 1880-1957 for analyzing decadal climate variability /." Zürich : ETH, 2008. http://e-collection.ethbib.ethz.ch/show?type=diss&nr=17962.
Повний текст джерелаBhandari, Swastik. "ANALYZING THE RELATIONSHIP BETWEEN LARGE SCALE CLIMATE VARIABILITY AND STREAMFLOW OF THE CONTINENTAL UNITED STATES." OpenSIUC, 2018. https://opensiuc.lib.siu.edu/theses/2362.
Повний текст джерелаTalanki, Nisha Priyanka. "Analyzing the Effect of Image Variability and Variable Lexical Representation on the Instruction of Biological Vocabulary." Thesis, The University of Arizona, 2014. http://hdl.handle.net/10150/322075.
Повний текст джерелаSikder, Abu Hena Mustafa Kamal. "Analyzing Spatial Variability of Social Preference for the Everglades Restoration in the Face of Climate Change." FIU Digital Commons, 2016. http://digitalcommons.fiu.edu/etd/2565.
Повний текст джерелаNaga, Pradeep. "Analyzing the Effect of Moving Resonance on Seismic Response of Structures using Wavelet Transforms." Thesis, Virginia Tech, 2011. http://hdl.handle.net/10919/34646.
Повний текст джерелаMaster of Science
Tadepally, Harika. "Spatiotemporal Variation of Continuous PM2.5 In Cincinnati: Analyzing The Impacts of Local-Scale Emissions Versus Meteorological Variability." University of Cincinnati / OhioLINK, 2017. http://rave.ohiolink.edu/etdc/view?acc_num=ucin1504802386325803.
Повний текст джерелаPerez, Raphaël. "Analyzing and modelling the genetic variability of aerial architecture and light interception of oil palm (Elaeis guineensis Jacq)." Thesis, Montpellier, SupAgro, 2017. http://www.theses.fr/2017NSAM0001/document.
Повний текст джерелаIn this study we proposed to investigate the influence of oil palm architecture on the capacity of the plant to intercept light, by using 3D reconstructions and model-assisted evaluation of radiation-use efficiency. The first objective of this study was to analyse and model oil palm architecture and light interception taking into account genetic variability. A second objective was to explore the potential improvements in light capture and carbon assimilation by manipulating oil palm leaf traits and propose architectural ideotypes.Allometric relationships were applied to model these traits according to ontogenetic gradients and leaf position within the crown. The methodology allowed reconstructing virtual oil palms at different stages over plant development. Additionally, the allometric-based approach was coupled to mixed-effect models in order to integrate inter and intra progeny variability through progeny-specific parameters. The model thus allowed simulating the specificity of plant architecture for a given progeny while including observed inter-individual variability. The architectural model, parameterized for the different progenies, was then implemented in AMAPstudio to generate 3D mock-ups and estimate light interception efficiency, from individual to stand scales.Significant differences in leaf geometry (petiole length, density of leaflets and rachis curvature) and leaflets morphology (gradients of leaflets length and width) were detected between and within progenies, and were accurately simulated by the modelling approach. Besides, light interception estimated from the validated 3D mock-ups showed significant variations among the five progenies.Sensitivity analyses were then performed on a subset of architectural parameters to identify the architectural traits impacting on light interception efficiency and potential carbon assimilation over plant development. The most sensitive parameters over plant development were those related to leaf area (rachis length, number of leaflets, leaflets morphology), but fine attribute related to leaf geometry showed increasing influence when canopy got closed. In adult stand, optimized carbon assimilation was estimated on plants presenting a leaf area index (LAI) between 3.2 and 5.5 m2.m−2, with erected leaves, short rachis and petiole and high number of leaflet on rachis. Four architectural ideotypes for carbon assimilation were proposed based on specific combinations of organs geometry, limiting mutual shading and optimizing light distribution within plant crown.In conclusion, this study highlighted how a functional-structural plant model (FSPM) can be used to virtually explore plant biology. In our case of study, the 3D model of oil palm, in its conception and its application, permitted to detect the architectural traits genetically determined and influencing light interception. The limited number of traits revealed in the sensitivity analysis and the combination of traits proposed through ideotypes could guide further breeding programs. Forthcoming work will be dedicated to integrate in the modeling approach other physiological processes such as stomatal conductance and carbon partitioning. The improved FSPM could then be used to test different scenarios, for instance in climate change context with low radiations or frequent drought events. Similarly, the model could be used to investigate different planting patterns and intercropping systems, and proposed new multi-criteria ideotypes of oil palm
Karlson, Martin. "Assessing GIS-based indicator methodology for analyzing the physical vulnerability of water and sanitation infrastructure." Thesis, Linköpings universitet, Tema vatten i natur och samhälle, 2012. http://urn.kb.se/resolve?urn=urn:nbn:se:liu:diva-84670.
Повний текст джерелаAbbey, James Duane. "Analyzing impacts on backorders and ending inventory in MRP due to changes in lead-time, demand variability and safety stock levels." [Ames, Iowa : Iowa State University], 2008.
Знайти повний текст джерелаTrevino-Pena, Melva B. "ANALYZING CHANGES IN THE BEEF CATTLE RANCHING COMMUNITIES OF ACATIC AND TEPATITLÁN DE MORELOS, JALISCO, MEXICO RELATED TO LAND COVER AND CLIMATE VARIABILITY." OpenSIUC, 2013. https://opensiuc.lib.siu.edu/theses/1233.
Повний текст джерелаTang, Tsun-Wei, and 湯存偉. "Predicting sudden cardiac death by analyzing its heart rate variability signal using Hilbert-Huang transform." Thesis, 2017. http://ndltd.ncl.edu.tw/handle/4n85aj.
Повний текст джерела國立陽明大學
生物醫學工程學系
105
According to the investigation done by the Ministry of Health and Welfare, heart attack is a major cause of death of elders in Taiwan. The sudden cardiac death onset leads to short rescue time, thus causes extremely high mortality rate. If we can detect the signs of heart attack beforehand, it may offer time to take a prompt medication action. The aim of this study is to investigate the relationship between heart rate variability (HRV) and sudden cardiac death by means of electrocardiography (ECG) analysis. The heart rate variability analysis used in this study includes time domain and frequency domain analysis, and the analysis in the frequency domain is performed by the Hilbert-Huang transform and Fourier transform. This study analyzed the ECG data measured minutes before sudden cardiac death onset, and the result shows that there were statistically significant differences. For the five minutes HRV analysis, nine of eleven features extracted from the HRV showed statistically significant differences between healthy adults and the adults who are on the verge of suffering sudden cardiac death. Furthermore, we trained those features by using the k-nearest neighbor algorithm as a classification tool. The accuracy rate of this classification model used to distinguish between the healthy adults and cardiac patients is 94.7%. And the accuracy rates analyzed using the ECG data measured more than five minutes, including ten minutes, thirty minutes and an hour, before onset is about 70-80%. This study reports our proposed method may detect sudden cardiac death minutes before its onset.
Knapp, Nikolai. "Remote Sensing of Forests: Analyzing Biomass Stocks, Changes and Variability with Empirical Data and Simulations." Doctoral thesis, 2019. https://repositorium.ub.uni-osnabrueck.de/handle/urn:nbn:de:gbv:700-201910022050.
Повний текст джерелаLi, Ming-Yuan, and 李明遠. "A mobile application of analyzing heart rate variability and detecting arrhythmia with wearable device in smart phones." Thesis, 2015. http://ndltd.ncl.edu.tw/handle/2u4cs5.
Повний текст джерела國立中央大學
資訊工程學系
103
Arrhythmia,one of common heart diseases, is defined by slow, rapid or irregular heartbeats. It would have serious results in patients with severe arrhythmia. Analyzing electrocardiogram (ECG) and heart rate variability (HRV) is one of the approaches to estimate arrhythmia and heart status.Through wearable devices, ECG signals can be obtain in convenient form. This study is designed to perform HRV analysis and arrhythmia detection through wearable device. The results of this study are evaluated with MIT-BIH Arrhythmia Database and MIT-BIH Normal Sinus Rhythm Database. The proposed system could help understand the condition of heart and benefit health care.