Дисертації з теми "Targeted sampling"
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Isaac, Giorgis. "Development of Enhanced Analytical Methodology for Lipid Analysis from Sampling to Detection : A Targeted Lipidomics Approach." Doctoral thesis, Uppsala University, Analytical Chemistry, 2005. http://urn.kb.se/resolve?urn=urn:nbn:se:uu:diva-5810.
Повний текст джерелаThis thesis covers a wide range of analytical method development for lipid analysis in complex biological samples; from sample preparation using pressurized fluid extraction (PFE) and separation with reversed phase capillary liquid chromatography (RP-LC) to detection by electrospray ionization mass spectrometry (ESI/MS) and tandem MS.
The requirements for fast, reliable and selective extraction methods with minimal usage of solvents have accelerated the development of new extraction techniques. PFE is one of the new automated, fast and efficient liquid extraction techniques which use elevated temperature and pressure with standard liquid solvents. In this thesis the reliability and efficiency of the PFE technique was investigated for the extraction of total lipid content from cod, herring muscle and human brain tissue as well as for pesticides from fatty foodstuffs. Improved or comparable efficiencies were achieved with reduced time and solvent consumption as compared to traditional methods.
A RP-LC coupled online to ESI/MS for the analysis of phosphatidylcholine (PC) and sphingomyelin (SM) molecular species was developed and used for the analysis of brain lipids from eight groups of mice treated with vehicle and various neuroleptics. The effect of postnatal iron administration in lipid composition and behavior was investigated. Whether or not these effects could be altered by subchronic administration of the neuroleptics (clozapine and haloperidol) were examined. The results support the hypothesis that an association between psychiatric disorders, behavior abnormalities and lipid membrane constitution in the brain exists.
Finally, a tandem MS precursor ion scan was used to analyze the developmental profile of brain sulfatide accumulation in arylsulfatase A (ASA) deficient (ASA -/-) as compared to wild type control (ASA +/+) mice. The ASA -/- mice were developed as a model of the monogenic disease metachromatic leukodystrophy with an established deficiency of the lysosomal enzyme ASA. The results showed that an alteration in the composition of sulfatide molecular species was observed between the ASA -/- and ASA +/+ mice.
This thesis shows that modern analytical methods can provide new insights in the extraction and analysis of lipids from complex biological samples.
Holmberg, Edward A. IV. "Data Visualization to Evaluate and Facilitate Targeted Data Acquisitions in Support of a Real-time Ocean Forecasting System." ScholarWorks@UNO, 2014. http://scholarworks.uno.edu/td/1873.
Повний текст джерелаNguyen, Trang. "Comparison of Sampling-Based Algorithms for Multisensor Distributed Target Tracking." ScholarWorks@UNO, 2003. http://scholarworks.uno.edu/td/20.
Повний текст джерелаQian, Jiajie. "Nanofiber-enabled multi-target passive sampling device for legacy and emerging organic contaminants." Diss., University of Iowa, 2018. https://ir.uiowa.edu/etd/6487.
Повний текст джерелаFischell, Erin Marie. "Characterization of underwater target geometry from autonomous underwater vehicle sampling of bistatic acoustic scattered fields." Thesis, Massachusetts Institute of Technology, 2015. http://hdl.handle.net/1721.1/100161.
Повний текст джерелаCataloged from PDF version of thesis.
Includes bibliographical references (pages 153-156).
One of the long term goals of Autonomous Underwater Vehicle (AUV) minehunting is to have multiple inexpensive AUVs in a harbor autonomously classify hazards. Existing acoustic methods for target classification using AUV-based sensing, such as sidescan and synthetic aperture sonar, require an expensive payload on each outfitted vehicle and expert image interpretation. This thesis proposes a vehicle payload and machine learning classification methodology using bistatic angle dependence of target scattering amplitudes between a fixed acoustic source and target for lower cost-per-vehicle sensing and onboard, fully autonomous classification. The contributions of this thesis include the collection of novel high-quality bistatic data sets around spherical and cylindrical targets in situ during the BayEx'14 and Massachusetts Bay 2014 scattering experiments and the development of a machine learning methodology for classifying target shape and estimating orientation using bistatic amplitude data collected by an AUV. To achieve the high quality, densely sampled 3D bistatic scattering data required by this research, vehicle broadside sampling behaviors and an acoustic payload with precision timed data acquisition were developed. Classification was successfully demonstrated for spherical versus cylindrical targets using bistatic scattered field data collected by the AUV Unicorn as a part of the BayEx'14 scattering experiment and compared to simulated scattering models. The same machine learning methodology was applied to the estimation of orientation of aspect-dependent targets, and was demonstrated by training a model on data from simulation then successfully estimating the orientations of a steel pipe in the Massachusetts Bay 2014 experiment. The final models produced from real and simulated data sets were used for classification and parameter estimation of simulated targets in real time in the LAMSS MOOS-IvP simulation environment.
by Erin Marie Fischell.
Ph. D.
Moyer, Steven K. "Modeling challenges of advanced thermal imagers." Diss., Available online, Georgia Institute of Technology, 2006, 2006. http://etd.gatech.edu/theses/available/etd-02272006-144729/.
Повний текст джерелаDr. William T. Rhodes, Committee Co-Chair ; Dr. John Buck, Committee Member ; Dr. William Hunt, Committee Member ; Dr. Stephen P. DeWeerth, Committee Member ; Dr. Ronald G. Driggers, Committee Member ; Dr. Gisele Bennett, Committee Chair.
Lux, Johannes Thomas [Verfasser], and Ingeborg [Akademischer Betreuer] Levin. "A new target preparation facility for high precision AMS measurements and strategies for efficient 14CO2 sampling / Johannes Thomas Lux ; Betreuer: Ingeborg Levin." Heidelberg : Universitätsbibliothek Heidelberg, 2018. http://d-nb.info/1177252260/34.
Повний текст джерелаDixon, Wallace E. Jr, Robert M. Price, Michael Watkins, and Christine Brink. "Touchstat V. 3.00: A New and Improved Monte Carlo Adjunct for the Sequential Touching Task." Digital Commons @ East Tennessee State University, 2007. https://doi.org/10.3758/BF03193010.
Повний текст джерелаLamberti, Roland. "Contributions aux méthodes de Monte Carlo et leur application au filtrage statistique." Thesis, Université Paris-Saclay (ComUE), 2018. http://www.theses.fr/2018SACLL007/document.
Повний текст джерелаThis thesis deals with integration calculus in the context of Bayesian inference and Bayesian statistical filtering. More precisely, we focus on Monte Carlo integration methods. We first revisit the importance sampling with resampling mechanism, then its extension to the dynamic setting known as particle filtering, and finally conclude our work with a multi-target tracking application. Firstly, we consider the problem of estimating some moment of a probability density, known up to a constant, via Monte Carlo methodology. We start by proposing a new estimator affiliated with the normalized importance sampling estimator but using two proposition densities rather than a single one. We then revisit the importance sampling with resampling mechanism as a whole in order to produce Monte Carlo samples that are independent, contrary to the classical mechanism, which enables us to develop two new estimators. Secondly, we consider the dynamic aspect in the framework of sequential Bayesian inference. We thus adapt to this framework our new independent resampling technique, previously developed in a static setting. This yields the particle filtering with independent resampling mechanism, which we reinterpret as a special case of auxiliary particle filtering. Because of the increased cost required by this technique, we next propose a semi independent resampling procedure which enables to control this additional cost. Lastly, we consider an application of multi-target tracking within a sensor network using a new Bayesian model, and empirically analyze the results from our new particle filtering algorithm as well as a sequential Markov Chain Monte Carlo algorithm
Vestin, Albin, and Gustav Strandberg. "Evaluation of Target Tracking Using Multiple Sensors and Non-Causal Algorithms." Thesis, Linköpings universitet, Reglerteknik, 2019. http://urn.kb.se/resolve?urn=urn:nbn:se:liu:diva-160020.
Повний текст джерелаWahlström, Dennis. "Probabilistic Multidisciplinary Design Optimization on a high-pressure sandwich wall in a rocket engine application." Thesis, Umeå universitet, Institutionen för fysik, 2017. http://urn.kb.se/resolve?urn=urn:nbn:se:umu:diva-138480.
Повний текст джерелаNguyen, Trang M. "Comparison of sampling based algorithms for multisensor distributed target tracking." 2003. http://louisdl.louislibraries.org/u?/NOD,37.
Повний текст джерелаTitle from electronic submission form. "A thesis ... in partial fulfillment of the requirements for the degree of Master of Science"--Thesis t.p. Vita. Includes bibliographical references.
Tzaw, Lin Ming, and 林明灶. "An Approach Using Adaptive Sampling Interval For a Multi-Target Tracking System." Thesis, 1994. http://ndltd.ncl.edu.tw/handle/49301662385681812455.
Повний текст джерела大葉大學
電機工程研究所
82
This research is to design an algorithm using adaptive sampling interval for a radar tracking system. Via this technique, the tracking system can scan and grasp the target information more effectively. The key development of this approach is that the detection criterion for target maneuvering situation and environment status together with the extended Kalman filter and adaptive procedure algorithm is designed for a tracking system. In order to analyze this approach, a computer simulation algorithm is developed also. Finally, the comparision of the difference of general fixed sampling interval and adaptive sampling interval for a tracking system will be conducted in this thesis. In addition to the situations concerned as above, the multiple target tracking problems are also considered in this reasearch. According to the simulation results, the adaptive sampling interval procedure proposed in this thesis will enhance the radar tracking capability and have more accurate performance.
Hirschowitz, Steven. "The interaction of sampling ratio and modelling method in prediction of binary target with rare target class." Thesis, 2009. http://hdl.handle.net/10539/7248.
Повний текст джерелаMaake, Pauline Mmaletshabo. "Pre-operative patient education for patients undergoing kidney transplant as viewed by nephrology nurses." Diss., 2017. http://hdl.handle.net/10500/23708.
Повний текст джерелаHealth Studies
M.A. (Health Studies)