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Floating Gate Based Large-Scale Field-Programmable Analog Arrays for Analog Signal ProcessingTwigg, Christopher M. 10 July 2006 (has links)
Large-scale reconfigurable and programmable analog devices provide a new option for prototyping and synthesizing analog circuits for analog signal processing and beyond. Field-programmable analog arrays (FPAAs) built upon floating gate transistor technologies provide the analog reconfigurability and programmability density required for large-scale devices on a single integrated circuit (IC). A wide variety of synthesized circuits, such as OTA followers, band-pass filters, and capacitively coupled summation/difference circuits, were measured to demonstrate the flexibility of FPAAs. Three generations of devices were designed and tested to verify the viability of such floating gate based large-scale FPAAs. Various architectures and circuit topologies were also designed and tested to explore the trade-offs present in reconfigurable analog systems. In addition, large-scale FPAAs have been incorporated into class laboratory exercises, which provide students with a much broader range of circuit and IC design experiences than have been previously possible. By combining reconfigurable analog technologies with an equivalent large-scale digital device, such as a field-programmable gate array (FPGA), an extremely powerful and flexible mixed signal development system can be produced that will enable all of the benefits possible through cooperative analog/digital signal processing (CADSP).
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Scaling of turbulence and turbulent mixing using Terascale numerical simulationsDonzis, Diego Aaron 09 August 2007 (has links)
Fundamental aspects of turbulence and turbulent mixing are investigated using direct numerical simulations (DNS) of stationary isotropic turbulence, with Taylor-scale Reynolds numbers ranging from 8 to 650 and Schmidt numbers from 1/8 to 1024. The primary emphasis is on important scaling issues that arise in the study of intermittency, mixing and turbulence under solid-body rotation.
Simulations up to 2048^3 in size have been performed using large resource allocations on Terascale computers
at leading supercomputing centers.
Substantial efforts in algorithmic development have also been undertaken
and resulted in
a new code based on a two-dimensional domain decomposition
which allows
the use of very large number of processors.Benchmark tests indicate
very good parallel performance
for resolutions up to 4096^3 on up to 32768 processors.
Investigation of intermittency through the statistics of
dissipation and enstrophy in a series
of simulations at the same Reynolds number but different
resolution indicate that accurate
results in high-order moments require a higher degree
of fine-scale resolution than commonly practiced.
At the highest Reynolds number in our simulations (400 and 650)
dissipation and enstrophy exhibit
extreme fluctuations of O(1000) the mean
which have not been studied in
the literature before and suggest a universal scaling
of small scales.
Simulations at Reynolds number of 650 on 2048^3 grids
with scalars at Sc=1/8 and 1
have allowed us to obtain the clearest evidence of attainment of
inertial-convective scaling in the scalar spectrum
in numerical simulations to date whereas
results at high Sc support k^{-1} viscous-convective scaling.
Intermittency for scalars as measured by the tail of the PDF of scalar dissipation
and moments of scalar gradient fluctuations is found to saturate at high Sc.
Persistent departures from isotropy are observed as the Reynolds number increases.
However, results suggest a return to isotropy
at high Schmidt numbers, a tendency that appears to be stronger
at high Reynolds numbers.
The effects of the Coriolis force on
turbulence under solid-body rotation are investigated using
simulations on enlarged solution domains which
reduce the effects of
periodic boundary conditions.
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Temporal variations of monsoon systemsVieira Agudelo, Sara C. 09 September 2010 (has links)
It has been proposed that the Asian-Australasian monsoon system is influenced by large-scale sea-surface temperature (SST) variability in the three tropical oceans although how this influence is manifested has remained a largely open question. Closure of this issue is important because it is needed to explain trends in monsoon precipitation and circulation that have occurred in the last 30 years. Using an atmospheric general circulation model, we run a series of experiments with different configurations of global SST relating to various epochs occurring during the last century to evaluate their influence on the monsoon. Comparisons of circulation fields show that a colder SST configuration generates a weaker large-scale monsoonal circulation. On the other hand, warmer SST states generate stronger large scale circulations with more vigorous centers of divergence and convergence. Warmer SST configurations are associated with positive anomalies of precipitation in the eastern Bay of Bengal, Eastern Indian Ocean and South East Asia. Cooler SST configurations are associated with negative anomalies of precipitation in the Arabian Sea and Indian peninsula, especially at the beginning of the summer. Since SST gradients determine, to a large degree, the low level flow, they are also going to influence the transport of atmospheric moisture. Comparison of vertically integrated moisture transport fields between the different experiments show that cold SST configuration favors an increased inter-hemispheric flow of moisture but decreases in the westerly moisture flow in to the Bay of Bengal and India. Warm SST configurations, on the other hand, strengthens westerly flow into the eastern Indian Ocean. An increasing availability of moisture in a region of stronger convergence constitutes a favorable environment for the production of monsoonal precipitation.
African easterly waves (AEW) constitute an important component of the African and tropical Atlantic Ocean climate during the boreal summer. An understanding of this component is essential since AEW are closely related with tropical Atlantic storm activity. We adopt an idealized modeling approach using the WRF model initialized with ERA-40 reanalysis data to study the mechanisms that trigger the formation and maintenance of AEW. The model domain includes the African continent, central and eastern Atlantic Ocean and the western Indian Ocean. Experiments are designed to test the relative importance of the thermal effect of the eastern African topography and the influence of the cross-equatorial pressure gradient, induced by the sea surface temperature (SST) on the origins and maintenance of AEW. Topography and SST variation are selectively added and removed. The control experiment shows that the model reproduces many of the mean features observed during the boreal summer. Westward propagating disturbances of 3-8 day period that originate between 30 and 40E at the surface levels and in the mid troposphere are well depicted. In addition, the model provides a reasonable representation of the AEJ.
When all topographic features are removed, there is a weakening of the AEJ over land and ocean, however, longitude-time sections of meridional velocity still exhibit westward propagating disturbances that reach the western African coast at the surface and at the jet level with the same 3-8 day period. Spectral analysis of meridional velocity show that the variability associated with AEWs is reduced over East Africa and West Africa at 850-hPa and is reduced west of 20E along the southern flank of the jet and over northern Africa at the jet level. Maximum amplitude of the disturbances occurs right at the coast. The spatial distribution of barotropic and baroclinic energy conversions explains the reduction in AEWs over land and the intensification of these features at the coast.
When the zonal SST gradient is removed, a weaker AEJ displaces southward and a weaker monsoon flow ensues. Spectral analysis of meridional velocity displays a variance reduction in the 3-8 day band at the 850-hP a level in western and eastern Africa and at the coast. At the 650-hPa level significant changes are not observed at the latitude of the AEJ (15N), however, a decrease in the variance associated with AEW occurs at the southern flank of the jet. A southward displacement of the jet favors a weakening of the baroclinic energy conversions. Barotropic conversions also appear to be weaker when the SST gradient is removed. The present study suggests that orography plays an important role in determining the variability of meridional wind associated with AEW over Eastern Africa at the lower levels. Further, zonal SST gradients over the Atlantic favor intensification of waves when they reach the coast and the maintenance of disturbances across the Ocean. Also, results could suggest that SST gradients support genesis of AEW just off the coast of Africa.
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Study of network-service disruptions using heterogeneous data and statistical learningErjongmanee, Supaporn 21 January 2011 (has links)
The study of network-service disruptions caused by large-scale disturbances has mainly focused on assessing network damage; however, network-disruption responses, i.e., how the disruptions occur depending on social organizations, weather, and power resources, have been studied little. The goal of this research is to study the responses of network-service disruptions caused by large-scale disturbances with respect to (1) temporal and logical network, and (2) external factors such as weather and power resources, using real and publicly available heterogeneous data that are composed of network measurements, user inputs, organizations, geographic locations, weather, and power outage reports. Network-service disruptions at the subnet level caused by Hurricanes Katrina in 2005 and Ike in 2008 are used as the case studies. The analysis of network-disruption responses with respect to temporal and logical network shows that subnets became unreachable dependently within organization, cross organization, and cross autonomous system. Thus, temporal dependence also illustrates the characteristics of logical dependence. In addition, subnet unreachability is analyzed with respect to the external factors. It is found that subnet unreachability and the storm are weakly correlated. The weak correlation motivates us to search for root causes and discover that the majority of subnet unreachability reportedly occurred because of power outages or lack of power generators. Using the power outage data, it is found that subnet unreachability and power outages are strongly correlated.
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The large scale structures. a window on the Dark components of the UniverseIlic, Stéphane 23 October 2013 (has links) (PDF)
The dark energy is one of the great mysteries of modern cosmology, responsible for the current acceleration of the expansion of our Universe. Its study is a major focus of my thesis : the way I choose to do so is based on the large-scale structure of the Universe, through a probe called the integrated Sachs-Wolfe effect (iSW). This effect is theoretically detectable in the cosmic microwave background (CMB) : before reaching us this light travelled through large structures underlain by gravitational potentials. The acceleration of the expansion stretches and flattens these potentials during the crossing of photons, changing their energy, in a way that depend on the properties of the dark energy. The iSW effect only has a weak effect on the CMB requiring the use of external data to be detectable. A conventional approach is to correlate the CMB with a tracer of the distribution of matter, and therefore the underlying potentials. This has been attempted numerous times with galaxies surveys but the measured correlation has yet to give a definitive result on the detection of the iSW effect. This is mainly due to the shortcomings of current surveys that are not deep enough and/or have a too low sky coverage. A part of my thesis is devoted to the correlation of FDC with another diffuse background, namely the cosmological infrared background (CIB), which is composed of the integrated emission of the non-resolved distant galaxies. I was able to show that it is an excellent tracer, free from the shortcomings of current surveys. The levels of significance for the expected correlation CIB-CMB exceed those of current surveys, and compete with those predicted for the future generation of very large surveys. In the following, my thesis was focused on the individual imprint in the CMB of the largest structures by iSW effect. My work on the subject first involved revisiting a past study of stacking CMB patches at structures location, using my own protocol, completed and associated with a variety of statistical tests to check the significance of these results. This point proved to be particularly difficult to assess and subject to possible selection bias. I extended the use of this detection method to other available catalogues of structures, more consequent and supposedly more sophisticated in their detection algorithms. The results from one of them suggests the presence of a signal at scales and amplitude consistent with the theory, but with moderate significance. The stacking results raise questions regarding the expected signal : this led me to work on a theoretical prediction of the iSW effect produced by structures, through simulations based on the Lemaître-Tolman-Bondi metric. This allowed me to predict the exact theoretical iSW effect of existing structures. The central amplitude of the measured signals is consistent with the theory, but shows features non-reproducible by my predictions. An extension to the additional catalogues will verify the significance of their signals and their compatibility with the theory. Another part of my thesis focuses on a distant time in the history of the Universe, called reionisation : the transition from a neutral universe to a fully ionised one under the action of the first stars and other ionising sources. This period has a significant influence on the CMB and its statistical properties, in particular the power spectrum of its polarisation fluctuations. In my case, I focused on the use of temperature measurements of the intergalactic medium during the reionisation in order to investigate the possible contribution of the disintegration and annihilation of the hypothetical dark matter. Starting from a theoretical work based on several models of dark matter, I computed and compared predictions to actual measures of the IGM temperature, which allowed me to extract new and interesting constraints on the critical parameters of the dark matter and crucial features of the reionisation itself
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Understanding Reading Comprehension Performance in High School StudentsKWIATKOWSKA-WHITE, BOZENA 28 August 2012 (has links)
The ability to extract meaning from text is an important skill. Yet many students struggle with effectively comprehending what they read. In comparison with research carried out with younger students, there is a lack of research in the reading comprehension of adolescents (Grades 4 – 12). The goal of this dissertation was to increase our understanding of the factors that underlie the poor reading comprehension abilities of this older group of students. This dissertation includes two studies drawn from a sample of 137 age 15 year old high school students. Study One utilized archival data from government mandated tests of reading achievement of 78 students administered in Grades 3, 6, and 10, and results from a commercially available test of reading comprehension administered in Grade 10. This longitudinal study examined the prevalence of the stability, cumulative growth, and compensatory models in reading comprehension development. Probabilities of later-grade reading achievement categorization conditioned on earlier-grade reading achievement were computed, the prevalence of developmental paths was estimated, and tests of regression to the mean were conducted. Overall findings suggest considerable stability across time.
Study Two examined the specificity of the comprehension weaknesses of 15 year old readers whose comprehension skills are below those expected from their skill in word reading and nonverbal ability (unexpected poor comprehenders). Regression analyses identified unexpected poor comprehenders, and two contrast groups (expected average and unexpected good comprehenders). Characteristics of unexpected poor comprehenders are examined after controlling for word-reading accuracy, phonological decoding, reading rate, nonverbal ability, and vocabulary. Findings indicate a critical disadvantage of unexpected poor comprehenders lies in their weakness in vocabulary and that comprehension difficulties related to the identification of details and main ideas in summary writing remain when vocabulary is controlled. Implications for interpreting previous and informing future research are discussed.
Results of both studies are discussed with respect to the nature of the reading comprehension construct, identification and remediation of reading comprehension difficulties, and the assessment of reading comprehension. / Thesis (Ph.D, Education) -- Queen's University, 2012-08-28 13:32:25.641
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Clustering studies of radio-selected galaxiesPassmoor, Sean Stuart January 2011 (has links)
<p>We investigate the clustering of HI-selected galaxies in the ALFALFA survey and compare results with those obtained for HIPASS. Measurements of the angular correlation function and the inferred 3D-clustering are compared with results from direct spatial-correlation measurements. We are able to measure clustering on smaller angular scales and for galaxies with lower HI masses than was previously possible. We calculate the expected clustering of dark matter using the redshift distributions of HIPASS and ALFALFA and show that the ALFALFA sample is somewhat more anti-biased with respect to dark matter than the HIPASS sample. We are able to conform the validity of the dark matter correlation predictions by performing simulations of the non-linear structure formation. Further we examine how the bias evolves with redshift for radio galaxies detected in the the first survey.</p>
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A CAD tool for the prediction of VLSI interconnect reliability.Frost, David Frank. January 1988 (has links)
This thesis proposes a new approach to the design of reliable VLSI interconnects,
based on predictive failure models embedded in a software tool
for reliability analysis.
A method for predicting the failure rate of complex integrated circuit interconnects
subject to electromigration, is presented. This method is based
on the principle of fracturing an interconnect pattern into a number of statistically
independent conductor segments. Five commonly-occurring segment
types are identified: straight runs, steps resulting from a discontinuity
in the wafer surface, contact windows, vias and bonding pads. The relationship
between median time-to-failure (Mtf) of each segment and physical
dimensions, temperature and current density are determined. This model
includes the effect of time-varying current density. The standard deviation
of lifetime is also determined as a function of dimensions. A· minimum
order statistical method is used to compute the failure rate of the interconnect
system. This method, which is applicable to current densities below
106 AI cm2 , combines mask layout and simulation data from the design data
base with process data to calculate failure rates.
A suite of software tools called Reliant (RELIability Analyzer for iNTerconnects)
which implements the algorithms described above, is presented.
Reliant fractures a conductor pattern into segments and extracts electrical
equivalent circuits for each segment. The equivalent circuits are used
in conjunction with a modified version of the SPICE circuit simulator to
determine the currents in all segments and to compute reliability. An interface
to a data base query system provides the capability to access reliability
data interactively. The performance of Reliant is evaluated, based on two
CMOS standard cell layouts. Test structures for the calibration of the
reliability models are provided.
Reliant is suitable for the analysis of leaf cells containing a few hundred
transistors. For MOS VLSI circuits, an alternative approach based on the
use of an event-driven switch-level simulator is presented. / Thesis (Ph.D.)-University of Natal, Durban, 1988.
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Understanding and Exploiting Mobility in Wireless NetworksUppoor, Sandesh 29 November 2013 (has links) (PDF)
Le degré de pénétration du marché des appareils intelligents tels que les smartphones et les tablettes avec les technologies de communication embarquées comme le WiFi, 3G et LTE a explosé en moins d'une décennie. En complément de cette tendance technologique, les appli- cations des réseaux sociaux ont virtuellement connecté une grande partie de la population, en génèrant une demande de trafic de données croissant vers et depuis l'infrastructure de com- munication. Les communications pervasive ont aussi acquis une importance dans l'industrie automobile. L'émergence d' une gamme impressionnante d' appareils intelligents dans les véhicules permettant services tels que assistance au conducteur, infotainment, suivi à dis- tance du vehicule, et connectivité àux réseaux sociaux même en déplacement. La demande exponentielle de connectivité a encore défié les fournisseurs de services de télécommunications pour répondre aux attentes des utilisateurs du réseau à grande vitesse. L'objectif de cette thèse est de modéliser et comprendre la mobilité dynamique des utilisateurs à grande vitesse et leurs effets sur les architectures de réseau sans fil. Compte tenu de l' importance du développement de notre étude sur une représentation réal- iste de la mobilité des véhicules, nous étudions tout d'abord les approches les plus populaires pour la génération de trafic routier synthétique et discutons les caractéristiques des ensem- bles de données accessibles au public qui decrivent des mobilités véhiculaires. En utilisant l'information des déplacements de la population dans une région métropolitaine, les données du réseau routier détaillées et des modèles réalistes de conduite microscopiques, nous pro- posons un jeux de données de mobilité véhiculaire original qui redéfinit l'état de l'art et qui replie la circulation routière de facon realiste dans le temps et dans l'espace. Nous étudions ensuite l'impact des dynamiques de mobilité du point de vue de la couverture cellulaire en présence d'un déploiement réel des stations de base. En outre, en examinant les effets de la mobilité des véhicules sur les réseaux autonomes, nous voyons des possibilités pour les futurs paradigmes de réseaux hétérogènes. Motivés par l'évolution dynamique dans le temps de la mobilité des véhicules observée dans notre jeux de données, nous proposons également une approche en ligne pour prédire les flux de trafic macroscopiques. Nous analysons les paramètres affectant la prédiction de la mobilité en milieu urbain. Nous dévoilons quand et où la gestion des ressources réseau est plus crucial pour accueillir le trafic généré par les utilisateurs à bord. Ces études dévoilent des multiples opportunités de gestion intelligente des transports, soit pour construire de nouvelles routes, soit pour l'installation de bornes de recharge électriques, ou pour la conception de systèmes de feux de circulation intelligents, contribuant ainsi à la planification urbaine.
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Intrinsic and extrinsic parameter fluctuation limits on gigascale integration (GSI)Tang, Xinghai 08 1900 (has links)
No description available.
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