ITC/USA 2013 Conference Proceedings / The Forty-Ninth Annual International Telemetering Conference and Technical Exhibition / October 21-24, 2013 / Bally's Hotel & Convention Center, Las Vegas, NV / The tracking modulation index (Km) is a key performance parameter for any autotracking antenna and should especially be considered for classically difficult targets such as missiles and/or fast moving aircraft. Antenna subsystems are typically characterized by their gain to temperature ratio (G/T) to optimize receive data bit error rates (BER) for distant targets. One important parameter often overlooked for telemetry autotracking antennas is a graded value for the available tracking modulation index (Km) that is common in radar autotracking applications. Tracking modulation performance is a major contributor for minimizing the antenna pointing error during an autotrack mission. Autotracking radar antenna specifications typically include tracking modulation as a major design parameter, many receive-only autotrack antennas used for telemetry applications do not consider this important parameter for the intended tracking mission which may result in poor autotracking performance. This paper investigates the effects of tracking modulation levels on system pointing errors for various classes of feed topologies.

ITC/USA 2012 Conference Proceedings / The Forty-Eighth Annual International Telemetering Conference and Technical Exhibition / October 22-25, 2012 / Town and Country Resort & Convention Center, San Diego, California / A new common aperture autotracking C-band feed, specifically designed to accurately track fast moving targets such as the Lance missile, is reviewed. Measured data demonstrates exceptional tracking modulation required for good tracking performance while simultaneously providing excellent data channel performance for high G/T over the entire 4.40-5.25 GHz band. The new patent applied for feed design allows users to maintain existing L/S-band capability with a cost effective field upgrade which adds high performance C-band capability to an existing telemetry tracking system.

M. Tech. Chemistry. / Aims to evaluate, compare and modify existing methods and investigate new methods for the qualitative and quantitative determination of melamine. Specific aims were to: evaluate and modify an existing GC-MS15 and HPLC-DAD method16, published by US FDA, for the determination of melamine in pet food and baby milk powder formulae ; develop a novel HPLC fluorescence detection (FLD) method for the determination of melamine in pet food and baby milk powder formulae ; compare these methods to a commercial ELISA detection method for the determination of melamine in pet food samples previously implicated in the poisoning of dogs ; apply NIR spectroscopy with subsequent multivariate analysis to rapidly determine melamine in pet food; and compare the different methods statistically with respect to their analytical performances.

Accurate and reliable modeling of cardiovascular hemodynamics has the potential to improve understanding of the localization and progression of heart diseases, which are currently the most common cause of death in Western countries. However, building a detailed, realistic model of human blood flow is a formidable mathematical and computational challenge. The simulation must combine the motion of the fluid, the intricate geometry of the blood vessels, continual changes in flow and pressure driven by the heartbeat, and the behavior of suspended bodies such as red blood cells. Such simulations can provide insight into factors like endothelial shear stress that act as triggers for the complex biomechanical events that can lead to atherosclerotic pathologies. Currently, it is not possible to measure endothelial shear stress in vivo, making these simulations a crucial component to understanding and potentially predicting the progression of cardiovascular disease. In this thesis, an approach for efficiently modeling the fluid movement coupled to the cell dynamics in real-patient geometries while accounting for the additional force from the expansion and contraction of the heart will be presented and examined. First, a novel method to couple a mesoscopic lattice Boltzmann fluid model to the microscopic molecular dynamics model of cell movement is elucidated. A treatment of red blood cells as extended structures, a method to handle highly irregular geometries through topology driven graph partitioning, and an efficient molecular dynamics load balancing scheme are introduced. These result in a large-scale simulation of the cardiovascular system, with a realistic description of the complex human arterial geometry, from centimeters down to the spatial resolution of red-blood cells. The computational methods developed to enable scaling of the application to 294,912 processors are discussed, thus empowering the simulation of a full heartbeat. Second, further extensions to enable the modeling of fluids in vessels with smaller diameters and a method for introducing the deformational forces exerted on the arterial flows from the movement of the heart by borrowing concepts from cosmodynamics are presented. These additional forces have a great impact on the endothelial shear stress. Third, the fluid model is extended to not only recover Navier-Stokes hydrodynamics, but also a wider range of Knudsen numbers, which is especially important in micro- and nano-scale flows. The tradeoffs of many optimizations methods such as the use of deep halo level ghost cells that, alongside hybrid programming models, reduce the impact of such higher-order models and enable efficient modeling of extreme regimes of computational fluid dynamics are discussed. Fourth, the extension of these models to other research questions like clogging in microfluidic devices and determining the severity of co-arctation of the aorta is presented. Through this work, a validation of these methods by taking real patient data and the measured pressure value before the narrowing of the aorta and predicting the pressure drop across the co-arctation is shown. Comparison with the measured pressure drop in vivo highlights the accuracy and potential impact of such patient specific simulations. Finally, a method to enable the simulation of longer trajectories in time by discretizing both spatially and temporally is presented. In this method, a serial coarse iterator is used to initialize data at discrete time steps for a fine model that runs in parallel. This coarse solver is based on a larger time step and typically a coarser discretization in space. Iterative refinement enables the compute-intensive fine iterator to be modeled with temporal parallelization. The algorithm consists of a series of prediction-corrector iterations completing when the results have converged within a certain tolerance. Combined, these developments allow large fluid models to be simulated for longer time durations than previously possible. / Engineering and Applied Sciences

Due to the fact that construction, maintenance and operation of buildings consume almost 50% of the energy today, architects play a major role in the reduction of energy consumption. The building’s envelope (façades and roof) can have a significant and measurable impact. With regard to overheating and the potential lost of internal heat, transparent parts of the building envelope have a large effect on the building’s energy consumption. Modern, transparent façade systems can fulfill contemporary demands, such as energy conservation, energy production or the degree of visual contact, of sustainable buildings in order to reduce internal heating, cooling, and electrical loads. An analysis of existing shading devices and façade design leads to a comparative analysis of conventional shading devices like horizontal and vertical blinds as well as eggcrate and honeycomb shading structures in a hot-humid climate like Austin, Texas. This study helped evaluating strengths and weaknesses of each device resulting in an optimization process of conventional shading devices. Ultimately, an optimized shading structure has been developed. This project aimed to develop an advanced transparent façade system for a south-oriented commercial façade in Austin, Texas, which fulfills high standards with regard to low energy use, by limiting cooling loads and demands for artificial lighting while avoiding glare and heat losses during the cold season. The optimization has been achieved in providing full shading for a specified period of time throughout the year while providing maximized solar exposure. The shading structure consists out of an array of fixed shading components varying in size and proportion to fulfill criteria like specific views, transparency and aesthetics. The shading structure has been compared to conventional shading devices and analyzed with regard to the reduction of annual solar radiation. The improvement in design and energy consumption contributes to the variety of shading structures for building skins. It is anticipated that the solutions will help to widen the options for aesthetically pleasing, high-performance façades for commercial buildings. / text

The ability to select low-cost, high-performance surfactants for a wide range of crude oils under a wide range of reservoir conditions has improved dramatically in recent years. Surfactant formulations (surfactant, co-surfactant, co-solvent, alkali, polymer, and electrolyte) were developed by using a refined phase behavior approach. Such formulations nearly always result in more than 90% oil recovery in core flood when good surfactants with good mobility control are used. The advances that have improved performance, reduced cost, increased robustness, and extended the range of reservoir conditions for these formulations are described in this work. There are thousands of possible combinations of the chemicals that could be tested for each oil and each chemical combination requires many observations over a long time period at reservoir temperature for proper evaluation. It would take too long, cost too much and in many cases not even be feasible to test all combinations. In practice the scientific understanding is used to match up the surfactant/co-surfactant/co-solvent characteristics with the oil characteristics, temperature, salinity, hardness and so forth. Synthesized and new surfactants with much larger hydrophobes and more branching than previously available were tested. New classes of co-solvents and co-surfactants with superior performance were test to improve aqueous solubility. These new developments resulted in improved ASP formulations for both oils that react with alkali to make soap and oils that do not. Many of these developments are synergistic and taken together represent a breakthrough in reducing the cost of chemical flooding and thus its commercial potential. / text

published_or_final_version / Chemistry / Master / Master of Philosophy

Power management is one of the most critical challenges on the path to exascale supercomputing. High Performance Computing (HPC) centers today are designed to be worst-case power provisioned, leading to two main problems: limited application performance and under-utilization of procured power. In this dissertation we introduce hardware overprovisioning: a novel, flexible design methodology for future HPC systems that addresses the aforementioned problems and leads to significant improvements in application and system performance under a power constraint. We first establish that choosing the right configuration based on application characteristics when using hardware overprovisioning can improve application performance under a power constraint by up to 62%. We conduct a detailed analysis of the infrastructure costs associated with hardware overprovisioning and show that it is an economically viable supercomputing design approach. We then develop RMAP (Resource MAnager for Power), a power-aware, low-overhead, scalable resource manager for future hardware overprovisioned HPC systems. RMAP addresses the issue of under-utilized power by using power-aware backfilling and improves job turnaround times by up to 31%. This dissertation opens up several new avenues for research in power-constrained supercomputing as we venture toward exascale, and we conclude by enumerating these.

Η παρούσα διπλωματική αποτελεί την προσπάθεια κατασκευής ενός cache controller βασισμένο στον AHB BUS. Η ανάπτυξή του έγινε ως επί το πλείστο στο Εργαστήριο Vlsi του τμήματος Μηχανικών Υπολογιστών και Πληροφορικής με την προοπτική να ενσωματωθεί σε ένα ευρύτερο υπάρχων σύστημα βασισμένο στον open source cpu της arm Cortex M0. Δοκιμάστηκε επιτυχώς σε FPGA του εργαστηρίου αλλά ακόμα δεν έχει χρησιμοποιηθεί σε «πραγματικές συνθήκες». Απώτερος στόχος είναι να χρησιμοποιηθεί στο εργαστήριο για την επιτάχυνση εφαρμογών που θα χρειαστούν εξωτερική μνήμη δηλ. μεγαλύτερη μνήμη από την embedded του FPGA. Αν και δεν δοκιμάστηκε σε κάποιο άλλο σύστημα έχει φτιαχτεί με γνώμονα το πρότυπο του AHB οπότε υποθετικά δεν θα έχει κάποιο πρόβλημα να ενσωματωθεί σε οποιοδήποτε συμβατό με τον δίαυλο σύστημα. Η λογική πίσω από την υλοποίηση του είναι να είναι σχετικά εύκολη η αλλαγή ορισμένων μεταβλητών ώστε να διαφοροποιείται ο controller βάση των αναγκών του καθενός. Οι προδιαγραφές δίνονται παρακάτω αν και πιθανόν εκτός των πλαισίων της διπλωματικής και εντός του 2014 να επανα-σχεδιαστεί ώστε να γίνει πλήρως modular. / Cache controller compatible with AHB bus in system Verilog.

Information anytime and anywhere has ushered in a new technological age where massive amounts of ‘big data’ combined with self-aware and ubiquitous interactive computing systems is shaping our daily lives. As society gravitates towards a smart living environment and a sustainable future, the demand for faster and more computationally efficient electronics will continue to rise. Keeping up with this demand requires extensive innovation at the transistor level, which is at the core of all electronics. Up until recently, classical silicon transistor technology has traditionally been weary of disruptive innovation. But with the aggressive scaling trend, there has been two dramatic changes to the transistor landscape. The first was the re-introduction of metal/high-K gate stacks with strain engineering in the 45 nm technology node, which enabled further scaling on silicon to smaller nodes by alleviating the problem of gate leakage and improving the channel mobility. The second innovation was the use of non-planar 3D silicon fins as opposed to classical planar architectures for stronger electrostatic control leading to significantly lower off-state leakage and other short-channel effects. Both these innovations have prolonged the life of silicon based electronics by at least another 1-2 decades. The next generation 14 nm technology node will utilize silicon fin channels that have gate lengths of 14 nm and fin thicknesses of 7 nm. These dimensions are almost at the extreme end of current lithographic capabilities. Moreover, as fins become smaller, the parasitic capacitances and resistances increase significantly resulting in degraded performance. It is of popular consensus that the next evolutionary step in transistor technology is in the form of gate-all-around silicon nanowires (GAA NWFETs), which offer the tightest electrostatic configuration leading to the lowest possible leakage and short channel characteristics in over-the-barrier type devices. However, to keep scaling on silicon, the amount of current generated per device has to be increased while keeping short channel effects and off-state leakage at bay. The objective of this doctoral thesis is the investigation of an innovative vertical silicon based architecture called the silicon nanotube field effect transistor (Si NTFET). This topology incorporates a dual inner/outer core/shell gate stack strategy to control the volume inversion properties in a hollow silicon 1D quasi-nanotube under a tight electrostatic configuration. Together with vertically aligned source and drain, the Si NTFET is capable of very high on-state performance (drive current) in an area-efficient configuration as opposed to arrays of gate-all-around nanowires, while maintaining leakage characteristics similar to a single nanowire. Such a device architecture offsets the need of device arraying that is needed with fin and nanowire architectures. Extensive simulations are used to validate the potential benefits of Si NTFETs over GAA NWFETs on a variety of platforms such as conventional MOSFETs, tunnel FETs, junction-less FETs. This thesis demonstrates a novel CMOS compatible process flow to fabricate vertical nanotube transistors that offer a variety of advantages such as lithography-independent gate length definition, integration of epitaxially grown silicon nanotubes with spacer based gate dielectrics and abrupt in-situ doped source/drain junctions. Experimental measurement data will showcase the various materials and processing challenges in fabricating these devices. Finally, an extension of this work to topologically transformed wavy channel FinFETs is also demonstrated keeping in line with the theme of area efficient high-performance electronics.