72 research outputs found
Applications of Stein's method and large deviations principle's in mean-field O(N) models
No full textIn the first part of this thesis, we will discuss the classical XY model on complete graph in the mean-field (infinite-vertex) limit. Using theory of large deviations and Stein's method, in particular, Cramér and Sanov-type results, we present a number of results coming from the limit theorems with rates of convergence, and phase transition behavior for classical XY model.
In the second part, we will generalize our results to mean-field classical -vector models, for integers . We will use the theory of large deviations and Stein's method to study the total spin and its typical behavior, specifically obtaining non-normal limit theorems at the critical temperatures and central limit theorems away from criticality. Some of the important special cases of these models are the XY () model of superconductors, the Heisenberg () model (previously studied in [KM13] but with a correction to the critical distribution here), and the Toy () model of the Higgs sector in particle physics.Submission published under a 24 month embargo labeled 'Closed Access', the embargo will last until 2019-05-01The student, Tayyab Nawaz, accepted the attached license on 2017-03-30 at 17:49.The student, Tayyab Nawaz, submitted this Dissertation for approval on 2017-03-30 at 17:50.This Dissertation was approved for publication on 2017-04-07 at 11:08.DSpace SAF Submission Ingestion Package generated from Vireo submission #10626 on 2017-08-10 at 14:30:05Made available in DSpace on 2017-08-10T19:51:44Z (GMT). No. of bitstreams: 3
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Previous issue date: 2017-04-07Embargo set by: Colleen Fallaw for item 102597
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Energy-Efficient Mobility for Small-Cell Overlaid Cellular Networks
No full textTo satisfy the ever-growing demand for enhanced data rate in future cellular networks, an ultra-densification approach is introduced to shrink the coverage of base stations (BSs) and improve frequency reuse. A gain in system capacity is anticipated by increasing the density of BSs; however this gain is expected to come at the expense of a high number of handovers (HOs), increased HO delays, increased HO failures (HOFs), and a high ping pong (PP) rate, which for moderate-to-high-speed users implies significant signaling overhead traffic resulting in an unsatisfactory user experience.In this thesis, we provide a simulation analysis to study the performance of current 3GPP cellular networks (e.g. Long Term Evolution (LTE)/ New Radio (NR)) with a legacy downlink handover (DL-HO) procedure by taking into account the cell sizes and user mobility. In particular, the potential problems of HOFs are highlighted especially in the case of ultra-densification. Moreover, this work derives a power consumption model and addresses the signaling overhead and power consumption that results from the transmission and reception of HO signaling both at the BS and at the User Equipment (UE) during DL-HO.
The DL-HO analysis exhibits that the measurement report (MeasReport) transmission is the largest contributor to air-interface signaling and its power consumption is higher than random access channel (RACH) signaling and the signaling confirming the HO. In order to cope with the problem of high MeasReport signaling and effectively reduce the associated power consumption, a handover that is based on the uplink (UL) reference signal, referred to here as UL-HO, is proposed that exploits uplink (UL) reference signals (RSs), namely the sounding reference signal (SRS), transmitted by UEs. The performance of UL-HO is compared with DL-HO to quantify the potential benefits in terms of reduction in HO rates, HOFs, PPs, UE, and BS power consumption.
After this, we then highlight another major challenge of today's cellular networks which is the increasing demand for voice and data services in fast-moving public transportation (i.e. bus, tram, train, subway, etc.), especially in urban areas. To this end, we investigate the utilization of mobile relay nodes (MRNs) in vehicles to facilitate efficient group HO and reduce the energy consumption for all on-board UEs. In this thesis, we also address the DL-HO performance of an MRN to identify the causes of MRN HOFs towards the donor BS (DBS) that are more critical for the on-board UEs.To sort out the problem of MRN HOF to the DBS, we extend the applicability of the UL-HO scheme for the MRN to eliminate the MeasReprot signaling during MRN HO to the DBS. Therefore the HO delay can be reduced, decreasing the chances of single point of failure (SPoF) and thus, uninterrupted services can be provided to on-board UEs. Moreover, we analyze the impact of on-board UE cluster size on HO performance and the associated power consumption
Schooling is Associated Not Only with Long-Run Wages, But Also with Wage Risks and Disability Risks: The Pakistani Experience
No full textMany studies document significantly positive associations between schooling attainment and wages in developing countries. But when individuals enter occupations subsequent to completing their schooling, they not only face an expected work-life path of wages, but a number of other occupational characteristics, including wage risks and disability risks, for which there may be compensating wage differentials. This study examines the relations between schooling on one hand and mean wages and these two types of risks on the other hand, based on 77,685 individuals from the wage-earning population as recorded in six Labor Force Surveys of Pakistan. The results suggest that schooling is positively associated with mean total wages and wage rates, but has different associations with these two types of risks: Disability risks decline as schooling increases but wage risks, and even more, wage rate risks increase as schooling increases. The schooling-wage risks relation, but not the schooling-disability risks relation,is consistent with there being compensating differentials.Wages, Risks, Labor Markets, Job Disabilities, Compensating Differentials,Developing Country, Schooling
Overlap of success conditions responding to the viewpoint of ‘Successful/failed projects’, ‘Overall experience’, and ‘Suggestions for clients’
No full textGreen Success conditions are inquired in semi-structured interviews from three different viewpoints i.e., ‘Successful/failed projects’, ‘Overall experience’, and ‘Suggestions for clients’. Success conditions identified from these viewpoints have significant overlaps indicated using venn diagrams. These findings are related to the PhD research conducted by the author.</p
Network of Green Building success conditions
No full textThe figure shows a network of success conditions/factors for Green Building development. This network is comprised of 73 success conditions and their corresponding 82 sub-conditions. All these success conditions and sub-conditions are allocated across 20 broad themes. This network is based on the findings of 75 semi-structured interviews with Green Building experts. The network is an outcome of the PhD research conducted by the author.</p
Estimating the impact of high-fidelity rainfall data on traffic conditions and traffic prediction
No full textAccurate prediction of network-level traffic parameters during inclement weather conditions can greatly help in many transportation applications. Rainfall tends to have a quantifiable impact on driving behavior and traffic network performance. This impact is often studied for low-resolution rainfall data on small road networks, whereas this study investigates it in the context of a large traffic network and high-resolution rainfall radar images. First, the impact of rainfall intensity on traffic performance throughout the day and for different road categories is analyzed. Next, it is investigated whether including rainfall information can improve the predictive accuracy of the state-of-the-art traffic forecasting methods. Numerical results show that the impact of rainfall on traffic varies for different rainfall intensities as well as for different times of the day and days of the week. The results also show that incorporating rainfall data into prediction models improves their overall performance. The average reduction in mean absolute percentage error (MAPE) for models with rainfall data is 4.5%. Experiments with downsampled rainfall data were also performed, and it was concluded that incorporating higher resolution weather data does indeed lead to an increase in performance of traffic prediction models.Green Open Access added to TU Delft Institutional Repository ‘You share, we take care!’ – Taverne project https://www.openaccess.nl/en/you-share-we-take-care Otherwise as indicated in the copyright section: the publisher is the copyright holder of this work and the author uses the Dutch legislation to make this work public.Signal Processing System
Molecular characterization of human group A rotavirus genotypes circulating in Rawalpindi, Islamabad, Pakistan during 2015-2016
No full textGroup A rotaviruses (RVA) are one of the major causes of acute gastroenteritis (AGE) in young children worldwide. Owing to lack of proper surveillance programs and health facilities, developing countries of Asia and Africa carry a disproportionately heavy share of the RVA disease burden. The aim of this hospital-based study was to investigate the circulation of RVA genotypes in Rawalpindi and Islamabad, Pakistan in 2015 and 2016, prior to the implementation of RVA vaccine. 639 faecal samples collected from children under 10 years of age hospitalized with AGE were tested for RVA antigen by ELISA. Among 171 ELISA positive samples, 143 were successfully screened for RT-PCR and sequencing. The prevalence of RVA was found to be 26.8% with the highest frequency (34.9%) found among children of age group 6-11 months. The most predominant circulating genotypes were G3P[8] (22.4%) followed by G12P[6] (20.3%), G2P[4] (12.6%), G1P[8] (11.9%), G9P[6] (11.9%), G3P[4] (9.1%), G1P[6] (4.2%), G9P[8] (4.2%), and G3P[6] (0.7%). A single mixed genotype G1G3P[8] was also detected. The findings of this study provide baseline data, that will help to assess if future vaccination campaigns using currently available RVA vaccine will reduce RVA disease burden and instigate evolutionary changes in the overall RVA biology. The high prevalence of RVA infections in Pakistan require to improve and strengthen the surveillance and monitoring system for RVA. This will provide useful information for health authorities in planning public health care strategies to mitigate the disease burden caused by RVA.sponsorship: This research was funded by ASMA SADIQ, 2BM1-196, the Higher Education Comission of Pakistan (HEC). The funders had no role in study design, data collection and analysis, decision to publish, or preparation of the manuscript. (Higher Education Comission of Pakistan (HEC)|2BM1-196)status: Publishe
Calling the judiciary to account for the past : transitional justice and judicial accountability in Nigeria
No full textInstitutional and individual accountability is an important feature of societies in transition from conflict or authoritarian rule. The imperative of accountability has both normative and transformational underpinnings in the context of restoration of the rule of law and democracy. This article argues a case for extending the purview of truth-telling processes to the judiciary in postauthoritarian contexts. The driving force behind the inquiry is the proposition that the judiciary as the third arm of government at all times participates in governance. To contextualize the argument, I focus on judicial governance and accountability within the paradigm of Nigeria’s transition to democracy after decades of authoritarian military rule
Graphical analysis of hard-to-borrow stocks
No full textWe study the graphical analysis for hard to borrow stocks i.e., stock with some constraints such as short selling. The main purpose of this graphical analysis was to introduce some algorithm for calculating the implied dividend yield curve for hard to borrow stocks using the dynamical programming. Implied dividend curve can be used to analyze the options which are hard to borrow. We used the python as our tool for dealing with the financial data taken from the yahoo finance, since it helps in minimizing the memory usage for the data storage. Our main interest was to work with hard to borrowness for at the money options, but due to unavailability for these events we worked with in the money options since they are more crucial for the puts options. Put options have an early exercise for the American options, so considering the put options for in the money options are more interesting to analyze.Item withdrawn by Alexis Thompson ([email protected]) on 2013-04-18T19:19:24Z
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University of Illinois Theses & Dissertations (ID: 1)
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فرانز فینن کی کتاب ”افتادگان خاک“ کا تجزیاتی مطالعہ
No full textFallen Dust is a book written by French author Franz Fanon. This book was written in French in 1961. In this book, the author analyzes the mental and psychological effects of metaphor on nations and individuals, as well as the social, cultural and social movements that lead people to get rid of metaphor and political concepts were also discussed. Franz Fanon was a victim of French imperialism. Franz Fanon was a revolutionary intellectual. Fanon's politics begins with his anger and reaction to racism which was beginning to touch the boundaries of segregation (black racism and nationalism). But Fanon proved the universality of mankind through his labor and struggle. By participating in the process of resistance, they became a new generation in understanding the truths of society and in political struggle. This book was written against the neo-demographic system and nationalism from a psychological and Marxist point of view. Neodemographic system refers to when a state uses its power or strength to dominate a weaker state and its people by using its natural resources and public power for its own social and economic development
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