The master thesis deals with the implementation of higher controllers to the commonly used practice in the automation of technological processes. It uses the DCS system from Siemens - PCS 7 and its advanced APC (Advanced Process Control) library. The aim of this master thesis is a theoretical summary of resources and available tools for real-time deployment. The master thesis briefly introduces the Siemens PCS 7 DCS system and the APC library tools (functional blocks). For these types of regulators, their proper use is discussed.

Il a été découvert récemment que les pulsations d’intensité de longue période (entre 3 et 16 heures) sont très répandues dans la couronne solaire et en particulier dans les boucles coronales. Les processus de chauffage des boucles coronales, qui permettent de porter le plasma à des températures de l’ordre du million de degrés et de le maintenir confiné à ces températures,restent mal compris. Ces pulsations dans l’extrême ultraviolet amènent de nouvelles contraintes observationnelles pour les modèles de boucles coronales et par conséquent pour mieux comprendre leur dynamique et leur chauffage. Le thème central de cette thèse est l’exploration des origines physiques possibles pour ce phénomène.J’ai dans un premier temps utilisé un code de détection, initialement développé pour les données de l’imageur SoHO/EIT, sur l’archive de l’instrument SDO/AIA. J’ai pu détecter des milliers d’événements sur six ans de données,la moitié d’entre eux se concentrant dans des régions actives et environ la moitié encore de ces événements pouvant êtreclairement identifiés dans des boucles. Parmi ces milliers d’événements, j’ai sélectionné trois cas associés à des boucles, avecun signal de détection fort et permettant d’explorer une large gamme de périodes.Grâce à l’utilisation des six bandes coronales d’AIA, j’ai pu dans un deuxième temps réaliser une analyse de lastructure thermique de ces boucles via la reconstruction de la mesure d’émission différentielle (DEM, pour Differential Emission Measure) et l’étude des décalages temporels entre les intensités des six bandes. La température et la densité du plasma reconstruites évoluent de façon périodique avec un retard temporel entre ces deux quantités. Ce comportement,caractéristique de cycles d’évaporation et de condensation du plasma, m’a permis de rapprocher ces pulsations d’intensité à un phénomène bien connu dans les simulations numériques et pour des structures comme les protubérances et la pluie coronale : l’absence d’équilibre thermique ou thermal non-equilibrium (TNE). Une analyse des caractéristiques des spectres de puissances observés a permis par ailleurs de confirmer cette conclusion. Le TNE intervient lorsque le chauffage dans les boucles est stratifié en altitude, avec un chauffage plus important à basse altitude et lorsque le chauffage est quasi-constant.L’identification non ambigüe du TNE dans les boucles a donc des implications très importantes pour la compréhension du chauffage des boucles.Dans un troisième temps, je me suis attachée à reproduire ces pulsations d’intensité par la simulation et à déterminer les propriétés intrinsèques des boucles qui favorisent l’apparition de ces cycles d’évolution dans certaines boucles. J’ai notamment utilisé des extrapolations du champ magnétique des trois régions étudiées en détail avec AIA, pour étudier la géométrie de boucles. Ces géométries ont ensuite été utilisées en entrée du code de simulation hydrodynamique 1D. J’ai alors balayé l’espace des paramètres des fonctions de chauffage utilisées et pu déterminer que les conditions d’apparition de cycles de TNE proviennent d’une combinaison de la géométrie de la boucle et des paramètres du chauffage (asymétrie et puissance). Ce qui explique que certaines boucles présentent des pulsations d’intensité et d’autres non. J’ai de plus étudiéune simulation en particulier, dont les paramètres physiques du plasma sont proches de ceux observés pour un cas étudié avec AIA. Les intensités EUV alors simulées reproduisent bien celles observées. Le modèle étudié permet d’expliquer les pulsations observées en terme de cycles d’évaporation et de condensation. / Long-period EUV intensity pulsations (periods from 3 to 16 hours) have been found recently to be very common in thesolar corona and especially in coronal loops. The heating mechanism(s) of solar coronal loops that generate million-degreeplasma and maintain it confined at this temperature remain unknown. These intensity pulsations (extreme ultraviolet)provide new constraints for loops models and thus to better understand coronal loops dynamics and heating. The centraltopic of this thesis is to explore the possible physical explanations for this phenomenon.First, I used a detection code, initially developed for SoHO/EIT images, on the SDO/AIA archive. I detected thousandsof events in the six years of data, half of them corresponding to active regions and about the half of whom are identifiedas corresponding to coronal loops. I selected three cases of long-period intensity pulsation events in loops, with a cleardetection signal and allowing to scan different periods.Second, using the six coronal channels of AIA, I made a detailed study of the thermal structure of these loops. I usedboth differential emission measure (DEM) reconstructions and an analysis of the time-lags between the intensities in thesix channels. The temperature and the density are found to be periodic with a time delay between these two physicalparameters of the plasma. This behavior is characteristic of evaporation and condensation cycles of the plasma and itallowed me to connect these intensity pulsations to thermal non-equilibrium (TNE), a well-know phenomenon in numericalsimulations and for structures such as prominences and coronal rain. Moreover, an analysis based only on the shape ofpower spectra allowed to confirm this conclusion. TNE happens when the heating is highly-stratified (mainly concentratedat low altitudes) and quasi-constant. Unambiguous identification of TNE in coronal loops has thus important implicationsfor understanding coronal heating.Third, I aimed at reproducing the observed intensity pulsations by simulations and at determining the intrinsicproperties of coronal loops that favor these particular cycles of evolution. I made extrapolations of the magnetic fieldfor the three regions studied to determine the loops geometry. These geometries have been then used as inputs for 1Dhydrodynamic simulations. I conducted a parameter space study that revealed that the TNE cycles occurrence is sensitiveto a combination of the loop geometry and heating parameters (asymmetry and heating power). This allows me to explainwhy these pulsations are encountered in some loops but not in all. I studied one simulation in particular, matching theobserved characteristics of the plasma evolution. I derived the corresponding AIA synthetic intensities which reproducedthe main characteristics of the observed pulsations. This model allows me to explain the observed pulsations as evaporationand condensation cycles.

One of the most common infections of a human organism is an infection of stomach induced by pathogenic bacteria Helicobacter pylori (H. pylori). It is estimated that every second person is infected, with even higher prevalence in developing countries. As a quiet enemy, H. pylori can colonise a human stomach for decades without manifestation of infection-associated symptoms. However, chronic infection may cause severe damage to the stomach tissue, subsequently leading to the development of gastric diseases, including gastritis and ulcer disease. H. pylori infection is also a driving cause of gastric cancer, with 80% of gastric cancers being associated with chronic infection. H. pylori ensures its life-long persistence in a human host organism via the action of its virulence factors, which have a pleiotropic effect on multiple systems, mostly acting on the attenuation of a human immune system and the induction of atrophy of stomach tissue. The irreversible changes of stomach epithelium are induced by activation of an innate immune response in H. pylori-exposed epithelial cells through the stimulation of ALPK1/TIFA/NF-κB signalling pathway upon a recognition of β-ADP heptose, an intermediate product of bacterial lipopolysaccharide biosynthesis, and consequently leading to the formation of DNA...

The City of Cape Town is the most congested city in South Africa, with Johannesburg coming in second. Capetonians are spending 75% more time in traffic because of the congestion during peak hours, thus reducing time spent on leisure and other activities. Due to population growth, increasing car ownership and declining capacity of rail infrastructure, Cape Town's road infrastructure will continue to be under severe pressure if the status quo is maintained. Research shows that congestion levels in urban areas are key factors in determining the effectiveness and productivity of the transport system. Traffic congestion poses a threat to the economy and the environment. Increasing corridors' capacity by increasing the number of lanes does not necessarily solve the problem. Effective urban traffic management and efficient utilization of existing infrastructure are critical in creating sustainable solutions to congestion problems. To achieve this, it is important that appropriate urban-scale models and monitoring strategies are put in place. Effective traffic management and monitoring strategies require accurate characterization of the traffic state of an urban-scale network. Several approaches, including kinetic wave theory and cell transmission models or macroscopic traffic simulation models, have been proposed and developed to describe the traffic state of an urban-scale network. However, these approaches are limited and require significant amounts of computational time and effort. The application of macroscopic fundamental diagram (herein referred to as MFD) to characterize the state of an urban-scale network has thus far proven to be more effective than other approaches. MFD represents the state of urban traffic by defining the traffic throughput of an area at given traffic densities. It describes the characteristics and dynamics of urban-scale traffic conditions, allowing for improved and sustainable urban scale traffic management and monitoring strategies. Against this backdrop, the existence of MFD for the City of Cape Town (CoCT) urbanscale network is yet to be established and the implications yet to be understood, as in other parts of the world. The main aim of this research was, therefore, to empirically estimate the macroscopic fundamental diagram for the CoCT's freeway network and analyse its observed features. To achieve this, observed data of 5 minutes periods for the month of May 2019 was used to estimate the MFD. The results confirmed that when the chaotic scatter-plots of flow and density from individual fixed loop detectors were aggregated the scatter nearly disappeared and points grouped neatly to form a clearly defined free-flow state, critical state and the formation of hysteresis loops past the critical density corresponding with the network observed maximum flow. Further analysis of the MFDs showed that a single hysteresis loop always forms past the critical density during the evening peak in a weekday MFD. However, it was inconclusive during the morning peak period in weekday MFDs. Lastly, an explicit hysteresis loop seldom appears in a Saturday MFD when the peak of traffic demand is lower than on weekdays. In order to understand the dynamics of the congestion spread, the freeway network was partitioned into penetrating highways network and the ring highway network. The results showed that the maximum flows observed for the two sub-networks were significantly different (943 veh/hr/lane for the penetrating highways network and 1539 veh/hr/lane for the ring highway network). The penetrating highways network's MFD indicated the presence of congestion in the network whereas the ring highway network indicated only the free-flow state (no indication of congestion) during peak periods. The congestion seen on the penetrating highways network was found not to be sufficiently spread on those highways. On the 24th May, congestion on the penetrating highway network was observed during both the morning and evening peak periods, whereas on the 31st May congestion was observed mainly during the evening peak period, with hysteresis-like shape. These observations confirmed that congestion during peak periods is not homogenously spread across the entire network, certain areas are more congested than others, hence the observed formation of hysteresis loops and slight scatters. Lastly, the hysteresis loops observed in the penetrating highways network's MFD was further characterized in terms of their shape and size. First, the results showed that the slight scatter and hysteresis patterns observed in penetrating highways network MFD's vary in size and shape across different days. The shapes of the hysteresis loops observed during both the morning and evening peak periods, were type H2 hysteresis loops, signifying a stable recovery of the network with the average network flow remaining unchanged as average network density decreases during the recovery. Characterization of the size of the observed hysteresis loops showed that the drop of the hysteresis (an indicator of network level of instability during recovery phase) was smaller, signifying a more stable network traffic and homogenous distribution of congestion during the recovery phase.

This study seeks to explore the opportunities and boundaries of creating music as a solo guitarist with different electronic tools. These tools refer to samples, loops, and effects. Furthermore, this study aims to discover the opportunities existing in Logic Pro X for creating more randomized music. To achieve this, I use different samplers and MIDI-plugins and explore the different ways to bring forward the improvisational element in these. I also investigate how, and if, the use of samples and loops have an influence on my improvisations and compositions. The result of this study is a self-composed suite, consisting of three parts. In these three parts, I use all the techniques and methods I assembled over the course of this study. The study concludes that the use of samples, loops and effects had a notably influence on my compositions and improvisations. My compositions took a more unconventional form of composing, the use of graphical charts, and my improvisations became somewhat notably influenced by the effects being used or the samples being played.   I also discovered different ways and techniques to modify, manipulate and randomize sounds using Logic Pro X. / <p>Arvid Andersson, elgitarr</p><p><em>Kaoset </em>- Arvid Andersson</p><p><em>Viskningarna </em>- Arvid Andersson</p><p><em>Hemmet</em> - Arvid Andersson</p><p></p>

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Desire for low-power, high performance computing has been at core of the symbiotic union between digital circuits and CMOS scaling. While digital circuit performance improves with device scaling, analog circuits have not gained these benefits. As a result, it has become necessary to leverage increased digital circuit performance to mitigate analog circuit deficiencies in nanometer scale CMOS in order to realize world class analog solutions. In this thesis, both circuit and system enhancement techniques to improve performance of clock generators are discussed. The following techniques were developed: (1) A digital PLL that employs an adaptive and highly efficient way to cancel the effect of supply noise, (2) a supply regulated DPLL that uses low power regulator and improves supply noise rejection, (3) a digital multiplying DLL that obviates the need for high-resolution TDC while achieving sub-picosecond jitter and excellent supply noise immunity, and (4) a high resolution TDC based on a switched ring oscillator, are presented. Measured results obtained from the prototype chips are presented to illustrate the proposed design techniques. / Graduation date: 2013 / Access restricted to the OSU Community at author's request from July 16, 2012 - July 16, 2014

This thesis deals with cellular systems and their applications to self - replication data structures. The sector cellular automats is a very interesting and inspiring area which seems now as a very suitable environment for the simulation of various phenomen. One of these phenomen may be, for example, artificial life or self- replication the structure, which transmits some useful information or carry out the necessary calculations. In this thesis is detailed subscribe cellular automats and their division. It focuses on Langtons loop, Codds automata, Byls loop, Chou-Reggia loop, Tempesti loop, Perrier loop, SDSR loop, Evoloop and Sexyloop. Part of the work is to accelerate replication Byls loops through change to the rules of cellular automat and the addition of functionality to the ability to release space to the completion of replication loops. At thesis, I also dealt with the evolutionary design of the rules of cellular automata.

The objective of this dissertation is to propose circuit architectures and techniques for built-in test and calibration of phase-locked loops. The design of phase-locked loops is first investigated to achieve a robust performance over process, temperature, voltage corners with minimum overhead. Different design techniques including adding loop programmability, increasing area efficiency, reducing noise immunity, and increasing frequency coverage are discussed. Secondly, built-in testing of phase-lock loops using sensors are proposed for loop dynamic parameters and reference spur. An integrator is designed to extract the subtle response from the system so that target parameters can be predicted. Different testing methodologies are applied different specification testing as well. Finally, an on chip phase-locked loop design is implemented for reference spur calibration. The phase-locked loop is designed with a programmable reference spur range. A static phase offset detector is included to identify the optimal setting of reference spur in the feedback system. The integrated jitter performance is improved by the calibration mechanism. The results of this thesis serve as an on-chip built-in self-test and self-calibration solution for embedded phase-locked loops in a high integration system.

The aim of this thesis is to improve our understanding of the neural systems involved in schizophrenia by suggesting possible avenues for future computational modelling in an attempt to make sense of the vast number of studies relating to the symptoms and cognitive deficits relating to the disorder. This multidisciplinary research has covered three different levels of analysis: abnormalities in the microscopic brain structure, dopamine dysfunction at a neurochemical level, and interactions between cortical and subcortical brain areas, connected by cortico-basal ganglia circuit loops; and has culminated in the production of five models that provide useful clarification in this difficult field. My thesis comprises three major relevant modelling themes. Firstly, in Chapter 3 I looked at an existing neural network model addressing the Neurodevelopmental Hypothesis of Schizophrenia by Hoffman and McGlashan (1997). However, it soon became clear that such models were overly simplistic and brittle when it came to replication. While they focused on hallucinations and connectivity in the frontal lobes they ignored other symptoms and the evidence of reductions in volume of the temporal lobes in schizophrenia. No mention was made of the considerable evidence of dysfunction of the dopamine system and associated areas, such as the basal ganglia. This led to my second line of reasoning: dopamine dysfunction. Initially I helped create a novel model of dopamine neuron firing based on the Computational Substrate for Incentive Salience by McClure, Daw and Montague (2003), incorporating temporal difference (TD) reward prediction errors (Chapter 5). I adapted this model in Chapter 6 to address the ongoing debate as to whether or not dopamine encodes uncertainty in the delay period between presentation of a conditioned stimulus and receipt of a reward, as demonstrated by sustained activation seen in single dopamine neuron recordings (Fiorillo, Tobler &amp; Schultz 2003). An answer to this question could result in a better understanding of the nature of dopamine signaling, with implications for the psychopathology of cognitive disorders, like schizophrenia, for which dopamine is commonly regarded as having a primary role. Computational modelling enabled me to suggest that while sustained activation is common in single trials, there is the possibility that it increases with increasing probability, in which case dopamine may not be encoding uncertainty in this manner. Importantly, these predictions can be tested and verified by experimental data. My third modelling theme arose as a result of the limitations to using TD alone to account for a reinforcement learning account of action control in the brain. In Chapter 8 I introduce a dual weighted artificial neural network, originally designed by Hinton and Plaut (1987) to address the problem of catastrophic forgetting in multilayer artificial neural networks. I suggest an alternative use for a model with fast and slow weights to address the problem of arbitration between two systems of control. This novel approach is capable of combining the benefits of model free and model based learning in one simple model, without need for a homunculus and may have important implications in addressing how both goal directed and stimulus response learning may coexist. Modelling cortical-subcortical loops offers the potential of incorporating both the symptoms and cognitive deficits associated with schizophrenia by taking into account the interactions between midbrain/striatum and cortical areas.