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This is an un-official template for Johns Hopkins University theses. This template was originally created by R. Jacob Vogelstein, then updated by Noah J. Cowan, Brian Weitzner, John Muschelli and Leonardo Collado Torres. It is currently available via GitHub at https://github.com/lcolladotor/jhu-thesis-template.

NTU Master Dissertation for SCSE, EEE and other schools.

Modelo para elaboração de teses e dissertações para UNESP.

This template provides a framework and example for portfolio submissions for students at Grand Valley State University who are in Professor Wells' Math 210 classes.

Plantilla para trabajos de curso del área de Diseño en el programa de Ingeniería Mecánica y Mecatrónica de la Facultad de Ingeneiría de la la Universidad Tecnológica de Bolívar.

EACH-USP-PPgSI Exame de Qualificação e Dissertação de Mestrado

AKARI and Spinning Dust: A look at microwave dust emission via the Infrared Aaron C. Bell's Master's Course Thesis ABSTRACT: Rapidly spinning dust particles having a permanent electric dipole moment have been shown to be a likely carrier of the anomalous microwave emission (AME), a continuous excess of microwave flux in the 10 to 90 GHz range. Small grains, possibly polycyclic aromatic hydrocarbons (PAHs), are a leading suspect. In the absence of a definitive answer on the presence of PAHs or their role as an AME carrier, some predictions have been made as to the implications of spinning PAH emission. Due to the overlap between the CMB and the galactic foreground, this topic is requiring cosmologists to consider the ISM with more care. ISM astronomers are also needing to consider the contribution of cosmological radiation to large-scale dust investigations. We present data from AKARI/Infrared Camera (IRC) due to the effective PAH band coverage of its 9 micron survey to investigate their role within the 98 AME candidate regions identified by Planck Collaboration et al. (2014). We supplement AKARI data with the four Infrared Astronomical Satellite (IRAS) all-sky maps and complement with the Planck High Frequency Instrument (HFI) bands at 857 and 545 GHz to constrain the full dust thermal spectral energy distribution (SED). We sample the average spectral energy distributions (SEDs) all 98 regions. We utilize all 7 AKARI photometric bands, as well as the 4 IRAS bands and 2 HFI. We carry out a modified blackbody fitting, and estimate the optical depth of thermal dust at 250 micron, and compare this to AME parameters. We also show plots of each band's average intensity for all 98 regions vs. AME parameters. We find a positive trend between the optical depth and AME. In the band-by-band comparison the AKARI 9 micron intensity shows a weaker trend with AME. In general, the MIR correlates less strongly with AME than the FIR. The optical depth vs. AME trend improves slightly when looking only at significant AME regions. Scaling the IR intensities by the ISRF strength G0 does not improve the correlations. A slightly positive trend found previously among 10 AME regions vs. AME significance is revisited, using the larger sample of 98. However the trend does not hold up to the full data set. We cannot offer strong support of a spinning dust model. The results highlight the need for full dust SED modelling, and for a better understanding of the role that magnetic dipole emission from dust grains could play in producing the AME.

This simulation plan aims to explain and document all steps to be taken in the simulation analysis of the Fokker-100 case. This case is the scenario in which the aircraft touches the ground during landing, introducing loads on the landing gear. The landing gear consists of 2 rear gears around mid-span and one in the front. Furthermore, the pilot uses the rudder which induces a lateral force on the tail. As stated in the assignment, it is required to find the maximum normal stress and location of this in the fuselage, the maximum shear stress and its location in the fuselage, and the maximum shear flow in the frames that introduce the loads from the landing gears into the fuselage.

With rapid electrification of transportation , it is becoming increasingly important to have a comprehensive understanding of criteria used in motor selection.For that design and comparative evaluation of interior permanent magnet synchronous motor ,induction motor and switched reluctance motor are needed.A fast finite element analysis (FEA) modeling approach is addressed for induction motor design.Optimal turn off and turn on angles with current chopping control and angular position control are found for Switched Reluctance Motors (SRM).Noise Vibration and Harshness (NVH) analysis are done using workbench ANSYS analysis.Simulation and analytical results show that each motor topology demonstrates its own unique characteristics for Electric Vehicle / Hybrid Electric Vehicle.Each motor's highest efficiency is located at different torque-speed regions for the criteria defined.Stator geometry ,pole/slot combination and control strategy differentiate Noise Vibration and Harshness performance.