Target Acceleration Estimation from Radar Position Data using Neural Network

This work is a preliminary investigation on target manoeuvre estimation in real-time from the available measurements of noisy position data from tracking radar using an artificial neural network (ANN). Recently, simulation study of target manoeuvre estimation in real-time from the same position alone measurement using extended Kalman filter has been carried out in a simulated environment using measurements at 100 ms interval. The results reveal that the estimated acceleration consists of substantial error and lag, which is a stumbling block for guidance accuracy in real-time. So, the target acceleration has been estimated using the ANN with less error and lag than the same using Kalman estimator

Target Acceleration Estimation from Radar Position Data using Neural Network

This work is a preliminary investigation on target manoeuvre estimation in real-time from the available measurements of noisy position data from tracking radar using an artificial neural network (ANN). Recently, simulation study of target manoeuvre estimation in real-time from the same position alone measurement using extended Kalman filter has been carried out in a simulated environment using measurements at 100 ms interval. The results reveal that the estimated acceleration consists of substantial error and lag, which is a stumbling block for guidance accuracy in real-time. So, the target acceleration has been estimated using the ANN with less error and lag than the same using Kalman estimator

Description and Comparison of the Results of the Proposed House: Habitat for Humanity at Frazier Court, Dallas, Texas, with the 2004 IECC Standard Reference House

The Energy Systems Laboratory was requested to calculate the emissions reductions associated with the Habitat for Humanity Housing Project at Frazier Court, Dallas Texas. This report presents the results of the required analysis, a set of houses was compared to a corresponding standard reference house as described in the 2004 International Energy Conservation Code (2004 IECC). The energy consumption calculations were carried out using DOE-2.1e input file RES3ST.inp (Version 4.01.07) and DDP (Version: 1.7.03). Based on this comparison, the % above/below code for the proposed house was determined. The resultant emissions calculations were carried out using eCALC software (ESL, 2006). This report also contains detailed information about the description of the proposed house in terms of its building parameters, resultant energy consumption and emission reductions. Calculations are carried out using TMY2 weather file for Tarrant County, TX which is in climate zone 3 of the IECC 2004 climate zone categories. For the 1285 sq. ft. houses, the energy consumption of the Habitat for Humanity houses is in the range of 10.3% - 11.7% above code and for the 843 sq. ft. houses, the energy consumption is in the range of 20.9% - 21.4% below code. The HERS ratings calculated by IC3 is in the range of 71.7– 74.2 for the 1285 sq. ft. houses and in the range of 79.4 – 80.6 for the 843 sq. ft. houses

Thermal Loading Studies Using the Unsaturated Zone Model

Several factors will affect Thermal-Hydrological (TH) response of the Unsaturated Zone (UZ) to thermal load at the potential repository. These factors include small and large-scale heterogeneity, the thermal load within the repository drifts and presence of lithophysal cavities. The objective of this study is to quantify these effects. Numerical modeling was used to investigate the effects of heat on UZ flow, temperature and liquid saturation on two spatial scales, for a range of potential repository operating modes. The TH simulations were conducted on two dual-permeability numerical grids. The first grid is a refined North-South Mountain-scale 2D model with layer-wise constant fracture permeability. The second grid is a refined half-drift (1-m grid near drift) 2D model with several realizations of spatially variable fracture permeability in the Topopah Spring welded unit (TSw). In the TSw lithophysal units, the thermal capacity and thermal conductivity of the lithophysal units were scaled using the lithophysal porosity. The second model includes both small-scale (less than 1-meter correlation length) heterogeneity in the fracture permeability and discrete high permeability fractures. Monte Carlo methods were used to generate several realizations of spatially variable fracture permeability (up to 4 orders of magnitude) in the TSw, based on the measured distribution of fracture permeability within the exploration drifts. Above boiling and below boiling repository operating modes are investigated by varying the initial thermal load and the amount of heat removed by ventilation. The simulations of coupled heat and mass flow were conducted using TOUGH2 (EOS3 module) over a simulated period of 100,000 years

Effect of Chalcogens on Electronic and Photophysical Properties of Vinylene-Based Diketopyrrolopyrrole Copolymers

Three vinylene linked diketopyrrolopyrrole based donor-acceptor (D-A) copolymers have been synthesized with phenyl, thienyl, and selenyl units as donors. Optical and electronic properties were investigated with UV-vis absorption spectroscopy, cyclic voltammetry, near edge X-ray absorption spectroscopy, organic field effect transistor (OFET) measurements, and density functional theory (DFT) calculations. Optical and electrochemical band gaps decrease in the order phenyl, thienyl, and selenyl. Only phenyl-based polymers are nonplanar, but the main contributor to the larger band gap is electronic, not structural effects. Thienyl and selenyl polymers exhibit ambipolar charge transport but with higher hole than electron mobility. Experimental and theoretical results predict the selenyl system to have the best transport properties, but OFET measurements prove the thienyl system to be superior with p-channel mobility as high as 0.1 cm2 V-1 s-1. (Chemical Equation Presented). © 2015 American Chemical Society

Target Acceleration Estimation from Radar Position Data using Neural Network

This work is a preliminary investigation on target manoeuvre estimation in real-time from the available measurements of noisy position data from tracking radar using an artificial neural network (ANN). Recently, simulation study of target manoeuvre estimation in real-time from the same position alone measurement using extended Kalman filter has been carried out in a simulated environment using measurements at 100 ms interval. The results reveal that the estimated acceleration consists of substantial error and lag, which is a stumbling block for guidance accuracy in real-time. So, the target acceleration has been estimated using the ANN with less error and lag than the same using Kalman estimator

Bilateral recurrent spontaneous pneumothoraces in sarcoidosis

A case of recurrent bilateral pneumothoraces is described in a young patient with sarcoidosis. An intercostal tube drainage was done for right sided pneumothorax. Patient was put on corticosteroid treatment and with this treatment there has been no recurrence of pneumothorax