Global ETD Search
Search theses and dissertations gathered from participating repositories worldwide. Every result links back to the library that holds it. No account is needed.
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Showing 1 to 10 of 10 for “"Space Reconstruction"”.
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Phase Space Reconstruction using the frequency domain : a generalization of actual methods
Phase Space Reconstruction is a method that allows to reconstruct the phase space of a system using only an one dimensional time series as input. It can be used for calculating Lyapunov-exponents and detecting chaos. It helps to understand complex dynamics and their behavior. And it can reproduce …
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Optimal Representation of Experimental Data
No single state space reconstruction of experimental data is optimal for all scientific endeavors. This thesis is all about the coordinates used in reconstruction , the goals of reconstruction, and the criteria used to select optimal reconstructions. A learning algorithm is described , which when …
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Optimal representation of experimental data
No single state space reconstruction of experimental data is optimal for all scientific endeavors. This thesis is all about the coordinates used in reconstruction, the goals of reconstruction, and the criteria used to select optimal reconstructions. A learning algorithm is described, which when …
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Active Control of Structures Using Genetic Algorithms
… based on the real design criteria, a state space reconstruction technique for estimating the full state of a structure using accelerations measured from sensors installed on the structure, and the robustness of controllers to sensor noise and model uncertainty. These three topics are …
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Characterizing complex time-series from the scaling of prediction error
… approximation to build models from a state-space reconstruction of a time series that otherwise appears complicated or random (i.e. aperiodic, irregular). Prediction error as a function of prediction horizon is obtained from the model using the direct method. The relationship between the …
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Data Driven Prediction Without a Model
… of bred vectors to a reconstructed phase space model for simple, autonomous nonlinear systems and compare the predictive capabilities of data driven bred vectors to those computed using a numerical model. Next, we show that a combination of the phase space reconstruction with ETKF yields a …
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Helical Reconstruction in RELION
… tuning many ad hoc parameters to achieve optimal reconstruction results. REgularised LIkelihood OptimisatioN (RELION), an open-source single-particle analysis package, reduces the need for user expertise by the formulation of an empirical Bayesian framework, and has yielded some of the highest …
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Impact of Meteorological Conditions and Maturity of Perithecia on the Release of Fusarium graminearum Ascospores
… convergent cross mapping and multivariate state space reconstruction to identify significant causal agents within this complicated natural and dynamic system. We identified relative humidity, solar radiation, wind speed, and air temperature as predictors of ascospore release. Our second research …
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Helical reconstruction of Mycobacterium smegmatis Mycothiol S-conjugate amidase filaments
… symmetry parameters using Iterative Helical Real-Space Reconstruction. The first solution had a selection rule of l = 18m + n, and the second l = 20m + n. Reconstructions made from the predicted helical symmetries were compared in their power spectra and through rigid-body fitting with an atomic …
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Characterisation and investigation of serious thoracic injuries in passenger vehicle rollover crashes
… this identified knowledge gap. Firstly, Flail-space’s lateral thoracic impact velocity was validated against existing lateral PMHS thoracic impact tests. The validated velocity was then used as an injury criterion for assessing lateral thoracic injuries resulting from rollover crashes. …