This thesis concerns delay-dependent robust stability analysis and stabilization for time-delay system with uncertainties. By choosing new Lyapunov-Krasovskii functional and using methods which can reduce conservativeness of stability condition in the literature, new delay-dependent sufficient stability conditions are obtained in terms of linear matrix inequality. It is shown that the new stability conditions can provide less conservative results than some existing ones. Furthermore, the new stability conditions are also used to design the state feedback controllers. Finally, numerical examples are given to show the derived results and compared with results in the literature.

The effect on urban rainfall of pollution aerosols is studied both by data analysis and computational simulation. Our study examines data for urban areas undergoing decadal clean-up. We compare the annual precipitation between polluted sites and relatively clean sites through the time range before and during their clean-up periods to see how the air quality may affect the precipitation amount. By comparing the annual precipitation amount between two polluted sites with different elevations we demonstrate the role that elevation may play in rainfall suppression. Based on the data we collected, we built a model to analyze the relationship between air pollution aerosols and precipitation. Finally, we used a model of time dependent condensational aerosol growth to numerically study the relationship of air pollution aerosols and precipitation amount. Based on these results, we found a negative relationship of precipitation amount and air pollution amount; also, the simulation results clearly demonstrated that too many air pollution particles will deplete the water vapor and suppress further growth of condensation nuclei (CN) toward cloud condensation nuclei (CNN). This study supported the theoretical explanation on why air pollution could suppress urban rainfall.

Knowledge of viscosity of flow streams is essential for the design and operation of production facilities, drilling operations and reservoir engineering calculations. The determination of the viscosity of a reservoir fluid at downhole conditions still remains a complex task due to the difficulty of designing a tool capable of measuring accurate rheological information under harsh operational conditions. This dissertation presents the evaluation of the performance of a novel device designed to measure the viscosity of a fluid at downhole conditions. The design investigated in this study addresses several limitations encountered in previous designs. The prototype was calibrated and tested with fluids with viscosities ranging from 1 to 28 cp under temperatures ranging from 100 to 160oF. Viscosity measurements were validated with independent measurements using a Brookfield viscometer. We proposed a mathematical model to describe the performance of the device for Power-law fluids. This model describes the response of the device as a function of the rheology of the fluid and the physical dimensions of the device. Experimental data suggests the validity of the model to predict the response of the device under expected operating conditions. This model can be used to calculate optimal dimensions of the device for customized target applications.

Considered is a class of cooperative control problems that has a special affine characterization. Included in this class of multi-agent problems are the so called radar deception problem, formation keeping and formation reconfiguration. An intrinsic geometric formulation of the associated constraints unifies this class of problems and it is the first time such a generalization has been presented. Based on this geometric formulation, a real-time motion planning algorithm is proposed to generate dynamically feasible reference trajectories for the class. The proposed approach explicitly considers actuator and operating constraints of the individual agents and constrained dynamics are derived intrinsically for the multi-agent system which makes these constraints transparent. Deriving the constrained dynamics eliminates the need for nonlinear programming to account for the system constraints, making the approach amenable to real-time control. Explicit consideration of actuator and operating limitations and nonholonomic constraints in the design of the reference trajectories addresses the important issue of dynamic feasibility. The motion planning algorithm developed here is verified through simulations for the radar deception, rigid formation keeping and formation reconfiguration problems. A key objective of this study is to advocate a change in paradigm in the approach to formation control by addressing the key issues of dynamic feasibility and computational complexity. The other important contributions of this study are: Unifying formulation of constrained dynamics for a class of problems in formation control through the intrinsic geometry of their nonholonomic and holonomic constraints; Deriving these constrained dynamics in any choice of frame that can even be coordinate free; Explicit consideration of actuator and operating limits in formation control to design dynamically feasible reference trajectories and Developing a real-time, distributed, scalable motion planning algorithm applicable to a class of autonomous multi-agent systems in formation control.

As the speed of integrated circuits increases, so does their power consumption. Most of this power is turned into heat, which must be dissipated effectively in order for the circuit to avoid thermal damage. Thermal control therefore has emerged as an important issue in design and management of circuits and systems. Dynamic speed scaling, where the input power is temporarily reduced by appropriately slowing down the circuit, is one of the major techniques to manage power so as to maintain safe temperature levels. In this study, we focus on thermally-constrained hard real-time systems, where timing guarantees must be met without exceeding safe temperature levels within the microprocessor. Speed scaling mechanisms provided in many of today’s processors provide opportunities to temporarily increase the processor speed beyond levels that would be safe over extended time periods. This dissertation addresses the problem of safely controlling the processor speed when scheduling mixed workloads with both hard-real-time periodic tasks and non-real-time, but latency-sensitive, aperiodic jobs. We first introduce the Transient Overclocking Server, which safely reduces the response time of aperiodic jobs in the presence of hard real-time periodic tasks and thermal constraints. We then propose a design-time (off-line) execution-budget allocation scheme for the application of the Transient Overclocking Server. We show that there is an optimal budget allocation which depends on the temporal character istics of the aperiodic workload. In order to provide a quantitative framework for the allocation of budget during system design, we present a queuing model and validate the model with results from a discrete-event simulator. Next, we describe an on-line thermally-aware transient overclocking method to reduce the response time of aperiodic jobs efficiently at run-time. We describe a modified Slack-Stealing algorithm to consider the thermal constraints of systems together with the deadline constraints of periodic tasks. With the thermal model and temperature data provided by embedded thermal sensors, we compute slack for aperiodic workload at run-time that satisfies both thermal and temporal constraints. We show that the proposed Thermally-Aware Slack-Stealing algorithm minimizes the response times of aperiodic jobs while guaranteeing both the thermal safety of the system and the schedulability of the real-time tasks. The two proposed speed control algorithms are examples of so-called proactive schemes, since they rely on a prediction of the thermal trajectory to control the temperature before safe levels are exceeded. In practice, the effectiveness of proactive speed control for the thermal management of a system relies on the accuracy of the thermal model that underlies the prediction of the effects of speed scaling and task execution on the temperature of the processor. Due to variances in the manufacturing of the circuit and of the environment it is to operate, an accurate thermal model can be gathered at deployment time only. The absence of power data makes a straightforward derivation of a model impossible. We, therefore, study and describe a methodology to infer efficiently the thermal model based on the monitoring of system temperatures and number of instructions used for task executions.

Abstract Legionella species and Chlamydia pneumoniae are a common cause of community-acquired pneumonia and occasional cause of hospital-acquired pneumonia. Significant mortality rates among the elderly and patients with severe underlying disease may occur as a result of infection with those pathogen. Diagnostic delay may also result in increased mortality. Therefore, nucleic acid amplification assays have been shown to be useful for the detection of Legionella.spp and Chlamydia pneumoniae. The genes that encode 16S ribosomal subunits and the macrophage infectivity potentiator (MIP) gene have been shown to contain signature sequences that are useful for the identification of L. pneumophila and a variety of other Legionella species. The pst-1 fragment is useful for identification of Chlamydia pneumoniae. Here we try to test clinical specimens by Real-time PCR assays to detect L.pneumophila and other Legionella species in the same tube, and detect Chlamydia pneumoniae by SYBR Green 1 reagent. By this method, these amplicons of 16S ribosomal subunits gene and MIP gene can be discriminated by different melting curve dependent on different Tm values. In this study, we detected more 5 and 6 patients in Legionella species and Chlamydia pneumoniae than conventional diagnostic tools. Hence, the Real-time PCR also demonstrated that it¡¦s a rapid and high sensitivity method in diagnosis of legionnaires¡¦ disease. In this study, it also demonstrated that Real-time PCR is effective in prediction of atypical pathogen infection.

The purpose of this study was to explore the relationship between the physical activity levels and the time management practices of selected university students, and to identify the differences between physical activity levels and time management practices in terms of gender. The subjects of this study were 128 male (55,9%) and 101 female (44,1%) university students from six universities in istanbul, Turkey which were selected on a volunteer basis. The Physical Activity Assessment Questionnaire (PAAQ) and the Time Management Questionnaire (TMQ) were used to gather data. The data were analyzed by employing a Statistical Package for Social Statistics. Both descriptive and inferential statistics were used to analyze the data. The level .05 of significance was selected. There was significant correlation between total hours spend in a week and time planning, and negative correlation between time wasters. There was significant correlation between total MET spend in an hour and time attitudes, between total MET intensities and time attitudes. According to Chi-squared analysis gender difference is dependent of the PA levels in terms of &ldquo / sport MET&rdquo / and &ldquo / total MET&rdquo / intensities. Multivariate analysis of variance (MANOVA) indicated a significant main effect. Subsequent unvaried analysis indicated differences in Time Management in terms of gender.

none

none

A systematic procedure is proposed in this thesis to study the effect of temperature change to the power system load demand by using the typical load patterns of customer classes. The billing data of all service customers are retrieved to derive the daily load profile of the selected Taipower district. To verify the accuracy of the estimated load composition, the simulation results are compared to the actual load profile collected by the SCADA system. The sensitivity analysis of load demand with respect to the temperature change for each customer class is performed by statistic regression according to the actual customer power consumption and temperature data. With temperature rise, the load contribution by each customer class is updated by the corresponding temperature sensitivity and integrated together to form the new load profile of the service district. To investigate the effect of customer load characteristics to system stability, the equivalent circuit of Taipower 345 KV network is created. With the integration of the load composition by load survey study and temperature sensitivity of customer load, the load demand of each load bus is derived. For fault contingency of system buses, the transient stability analysis has performed to determine the critical clearing time under different temperature conditions.