Good state and wind estimation is a requirement for the development of guidance and control techniques for airships. However, usually this information is not directly available from the airship sensors. The typical solution applies filtering, estimation and sensor fusion methods. This paper presents a comparative study, evaluating three solutions for the state estimation of NOAMAY airship. We also present alternative versions for the crucial estimation of the wind velocity, combining Kalman filters with a data-driven Neural Network. Finally, we present special solutions to usual problems encountered in filtering implementation as the mitigation of delays caused by second-order filters. The sensors set considered is composed of a global positioning system, an inertial measurement unit and a one-dimensional Pitot probe. Comparative simulation results are presented with the use of a realistic nonlinear model of the airship.
Supplementary Table 2 from A Single Nucleotide Polymorphism Chip-Based Method for Combined Genetic and Epigenetic Profiling: Validation in Decitabine Therapy and Tumor/Normal Comparisons
Supplementary Table 1 from A Single Nucleotide Polymorphism Chip-Based Method for Combined Genetic and Epigenetic Profiling: Validation in Decitabine Therapy and Tumor/Normal Comparisons
<div>Abstract<p>Progress on several unresolved issues in cancer epigenetics will benefit from rapid and standardized methods for profiling DNA methylation genome-wide. In the area of epigenetic therapy, the demethylating drug decitabine (5-aza-2′-deoxycytidine) is increasingly used to treat acute myelogenous leukemia and myelodysplastic syndrome, but the mechanisms of its anticancer activity have remained unclear. Given the clinical efficacy of decitabine and the uncertainties about its mode of action, it will be useful to optimize methods for following DNA methylation as a biochemical response in individual patients. Here, we describe a single nucleotide polymorphism (SNP) chip-based method (MSNP) for profiling DNA methylation. Using this procedure, the extent of demethylation in bone marrow aspirates from patients with leukemia receiving decitabine can be assessed genome-wide using commercially available (Affymetrix) SNP chips. We validated the accuracy of MSNP by comparing the results with combined bisulfite restriction analysis and by sequencing cloned PCR products from bisulfite-converted DNA. We further validated MSNP in a Wilms' tumor/normal kidney comparison, comparing the results with methylation-sensitive Southern blotting. MSNP simultaneously detects aberrations in DNA copy number and loss of heterozygosity, making it a generally useful approach for combined genetic and epigenetic profiling in tissue samples from cancer patients. (Cancer Res 2006; 66(7): 3443-51)</p></div>
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