46 research outputs found
Erratum
Get PDFIn the article ‘Acne in South African black adults: A retrospective study in the private sector’ by Zulu et al., which appeared on pp. 1106 - 1109 of the December 2017 SAMJ, the affiliation for author Y Balakrishna should have been listed as ‘Biostatistics Unit, South African Medical Research Council, Durban, South Africa’. The online version of the article (https://doi.org/10.7196/SAMJ.2017.v107i12.12419) was corrected on 15 January 2018
Does public capital crowd out private capital? : evidence from India
Get PDFA recent but rapidly growing empirical literature focuses on the relationship between public and private capital. But for the most part, it ignores the heterogeneity of public investment. In many countries, especially in the developing world, public investment includes not only basic infrastructure projects, but also commercial and industrial projects similar to those undertaken by the private sector. And those two types of public investment are likely to have quite different effects on the accumulation of private capital. Using data from India, the author examines this issue empirically by implementing a simple analytical model encompassing two types of public capital. The empirical results show that in the long run capital for public infrastructure projects crowds in private capital - other types of public capital have the opposite effect. But in the short run, both kinds of public investment may crowd out private investment.Decentralization,Economic Theory&Research,International Terrorism&Counterterrorism,Banks&Banking Reform,Capital Markets and Capital Flows,Inequality,Economic Stabilization,Economic Theory&Research,Environmental Economics&Policies,Banks&Banking Reform
Calibration of the demand simulator in a dynamic traffic assignment system
Get PDFThesis (S.M.)--Massachusetts Institute of Technology, Dept. of Civil and Environmental Engineering, 2002.This electronic version was submitted by the student author. The certified thesis is available in the Institute Archives and Special Collections.Includes bibliographical references (p. 129-132).In this thesis, we present a methodology to jointly calibrate the O-D estimation and prediction and driver route choice models within a Dynamic Traffic Assignment (DTA) system using several days of traffic sensor data. The methodology for the calibration of the O-D estimation module is based on an existing framework adapted to suit the sensor data usually collected from traffic networks. The parameters to be calibrated include a database of time-varying historical O-D flows, variance-covariance matrices associated with measurement errors, a set of autoregressive matrices that capture the spatial and temporal inter-dependence of O-D flows, and the route choice model parameters. Issues involved in calibrating route choice models in the absence of disaggregate data are identified, and an iterative framework for jointly estimating the parameters of the O-D estimation and route choice models is proposed. The methodology is applied to a study network extracted from the Orange County region in California. The feasibility and robustness of the approach are indicated by promising results from validation tests.by Ramachandran Balakrishna.S.M
Time domain and time series models for human activity in compensatory tracking experiments
No full textThis investigation is aimed at time domain modeling of human activity from compensatory tracking experiments invoking modern identification methodology. Various linear time invariant models in probabilistic situations are postulated to describe the pilot activity, and the associated problems of identification and estimation of these parametric models given the observations are detailed. Two classes of models viz., an input-output based with a remanant terra similar to quasi-linear describing function models, and a new innovative, inaccessible input models based on concepts of time series analysis without remanant are considered. The13; latter models, postulated by the author, are the Autoregressive and Autoregressive moving average models. These formulations are justified on the basis, that in the pilot activity, the input to the human cerebellum is truly inaccessible since sensory channels are not hard connected to the stimulus and hence corrupted
Wind Resource Assessment Using Computer Simulation Tool: A Case Study
No full textAbstractWind resource assessment is the key step in windfarm deployment at pre-investment stage. In a wind farm, it is often the case that wind climate data is measured at one place and it is required to estimate wind resource potential at any other point in the vicinity. Also, the wind resource potential depends on the effect of terrain at the wind farm site. In this paper, using computer simulation software, the effect of terrain is considered in assessing wind resource potential at a site. A case study of actual wind farm consisting of 33 wind turbines installed at Tamilnadu, India is simulated using Meteodyn software to assess the wind power potential in-terms of capacity factor
Towards a Numerical Evolution of the Inflaton Field, From the Inflationary Era to Current Times
No full textAn attempt is made to numerically evolve the inflaton field responsible for cosmic inflation from the inflationary era to current times. This follows a scenario envisaged by the author recently identifying the inflaton as the scalar source of dark matter/dark energy, in line with such considerations in the literature. A numerical setup is formulated for the purpose based on an equivalent set of equations of a FLRW universe consistent with the dynamics of a spatially uniform but time varying inflaton field. Though illustrative, this presents a consolidated, picture of the inflaton, from generating inflation early on to sourcing dark matter and dark energy at later times, a picture compatible with later time models fitting CMB/Supernovae data
Evaluation of Energy Consumption using Receiver–Centric MAC Protocol in Wireless Sensor Networks
Get PDFAt present day’s wireless sensor networks, obtain a lot consideration to researchers. Maximum number of sensor nodes are scattered that can communicate with all others. Reliable data communication and energy consumption are the mainly significant parameters that are required in wireless sensor networks. Many of MAC protocols have been planned to improve the efficiency more by enhancing the throughput and energy consumption. The majority of the presented medium access control protocols to only make available, reliable data delivery or energy efficiency does not offer together at the same time. In this research work the author proposes a novel approach based on Receiver Centric-MAC is implemented using NS2 simulator. Here, the author focuses on the following parametric measures like - energy consumption, reliability and bandwidth. RC-MAC provides high bandwidth without decreasing energy efficiency. The results show that 0.12% of less energy consumption, reliability improved by 20.86% and bandwidth increased by 27.32% of RC-MAC compared with MAC IEEE 802.11
Deposition of undoped and Al doped ZnO thin films using RF magnetron sputtering and study of their structural, optical and electrical properties
No full textA weather related causal analysis on consolidated delay at Newark Liberty International Airport
No full textThe closure of the European airspace due to the eruption of the Icelandic volcano Eyjafjallajokull in 2010 proved a major challenge for airlines and aviation authorities on a global scale. In contrast, more seasonal adverse meteorological conditions afflict many airports in the northern eastern seaboard of the United States. Newark Liberty International Airport (KEWR) is a representative airport that endures severe weather based delays. This dissertation explores the utilisation of Bayesian Networks (BN) and heuristic analyses to investigate weather based delays at Newark Liberty International airport (KEWR). In particular, it aims to understand which weather variables (namely, precipitation, visibility and wind) have the most impact on weather based delays at KEWR in contrast to past studies that have studied more generic weather phenomena (e.g. thunderstorms) at the same airport. An analysis using temporal functionality with Bayesian Networks (BN) software and heuristic analyses was conducted. Data extracted from weather and aviation based websites was extracted using software. The quality of the information was cross referenced with official data sources and validated using BN tools. The results revealed a causal correlation chain between crosswinds above a certain threshold and high delays at KEWR at various points in the experimentation. Though other meteorological elements examined had an impact on delays, airport authorities and airlines can mitigate these factors to a certain scale using Federal Aviation Authority (FAA) approved technology and training. Consequently, the implications could be significant on existing FAA and regional policy with Ground Delay Program (GDP) and Noise Abatement Procedures (NAP). These policies can be profound and far reaching for airlines, in terms of operating procedures and fuel cost implications. These findings can further alter the balance between efficiency, public safety and airline costing affecting all major stakeholders as this dissertation will investigate
Effect of Eu3+ doping on the structural, morphological and luminescence properties ZnO nanostructures
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