Imaging system sensitivity analysis with NV-IPM

2014 ◽  
Author(s):  
Jonathan Fanning ◽  
Brian Teaney
2020 ◽  
Vol 20 (4) ◽  
pp. 999-1010
Author(s):  
ASGHAR ALI ◽  
MOHAMMAD MUNIR ◽  
RASHIDA HUSSAIN ◽  
SAIMA MEHMOOD

This paper presents the sensitivity analysis of an epidemiological model, SEIR, describing the transmission of Hepatitis B Virus. The classical sensitivities, the system sensitivity and the sensitivity norms of the model have been found. The sensitivities show that the susceptible individuals are majorly affected by the birth rate, contact rate, the rate at which the exposed individuals become infected and the fraction of the infected individuals in the population. System sensitivity describes the sensitivity of the whole model output with respect to all the parameters. The results of the classical sensitivities of the parameters are in agreement with the results given by the system sensitivities. The contact rate, β has the largest sensitivity norm and the exposed infected fraction of the population, t_1 has the least sensitivity norm. The qualitative and the quantitative sensitivity studies of the SEIR model reaffirm each other.


2020 ◽  
Vol 18 (9) ◽  
pp. 706-710
Author(s):  
Zahra Zamini ◽  
Soroor Rahimi Khamaneh ◽  
Amin Jadidi ◽  
Babak Roshanipour

In this paper sensitivity of a multilayer graphene nanoribbon (MGNR) interconnects parameters investigated. System sensitivity was studied on parameters like length and width in stable condition. The obtained results show with increasing width and length sensitivity will decrease and increase respectively. Impulse response diagram results show with increasing 50% width sensitivity will be zero but with increasing 50% length amplitude will decrease and the time of setting will increase. On the other hand from step response of transfer function, both width and length increase cause more stability for a system but the width parameter will be better choices for manipulating the dimension of MLGNR to reach the stable system.


Author(s):  
Rory F. D. Monaghan ◽  
Monem H. Alyaser

A power plant concept with the potential to replace the large fleet of ageing, small-scale (< 50 MWe), inefficient, polluting, and soon-to-be obsolete coal-fired power plants is proposed. The proposed plant comprises a bituminous coal-fed oxygen-free gasifier, low-temperature syngas cleanup system and an open-cycle gas turbine with heat recovery. Heat is supplied to the gasifier through combustion of a portion of the cleaned syngas produced by it. Since the proposed plant employs only a gas turbine, with no steam bottoming cycle, heat recovery from the gas turbine and its integration with the rest of the plant is crucial. A thermodynamic model of the plant has been created to assess its feasibility based on overall efficiency and emissions of CO2, SO2, mercury and particulates. The model comprises submodels for feedstock composition and enthalpy, as well as first-order thermodynamic models for each of the plant components including the gasifier, feedstock preparation, heat exchangers and steam generators, contaminant removal, combustors and turbomachinery. The results of the analysis show base case plant thermal efficiency of 38.2% on a HHV basis, which is roughly 5% points higher than that for a similarly-sized pulverized coal combustion (PCC) plants. Emissions of CO2, SO2, mercury and particulates per unit electrical energy produced in the base case are: 0.774 kg/kWh, 47.2 g/MWh, 2.37 g/GWh and 28.2 g/MWh, respectively. These values are well below emissions from similarly-sized PCC plants, which have been assessed using a spreadsheet model. The model of the proposed plant has been used to assess overall performance when torrefied pine wood is co-gasified with coal. Results show a slight decrease in plant efficiency with increasing co-gasification, with large decreases in CO2, SO2 and mercury emissions. Emissions of particulates increase slightly with co-gasification. Finally the model has been used to perform sensitivity analysis on the proposed system. Sensitivity analysis highlights the need for greater understanding of gasifier performance under a range of conditions.


1999 ◽  
Vol 122 (2) ◽  
pp. 338-349 ◽  
Author(s):  
Psang Dain Lin ◽  
Te-tan Liao

In order to improve upon the inconvenient and complicated contemporary analytic techniques employed for optical systems, this paper investigates two important optical topics: (1) the determination of light ray paths and (2) sensitivity analysis of light path parameters with respect to the light source location for occasions when light rays cross medium boundary surfaces. To this end, the traditional laws of reflection and refraction are reformulated in terms of revolution geometry. This results in a set of laws much simpler than the original, suitable for use in mathematical modeling to determine light paths and system sensitivity from location of the light source, optical component location, the equation of the optical component’s surface curve, and the refractive index. Ray tracing and sensitivity analysis of the two most popular boundary surfaces, flat and spherical, are presented as examples. In order to illustrate experimentally the integration of these boundary surfaces into optical systems, an optical measurement system for measuring surface height and orientation, containing a beam splitter and a bi-convex lens, was built. Agreement between the experimental optical system’s performance and the theoretical predictions yielded by the proposed method are excellent. [S1087-1357(00)01501-X]


1984 ◽  
Vol 106 (4) ◽  
pp. 447-456 ◽  
Author(s):  
N. Lior ◽  
K. Koai

The subject of this analysis is a solar power/cooling system based on a novel hybrid steam Rankine cycle. Steam is generated by the use of solar energy collected at about 100°C, and it is then superheated to about 600°C in a fossil-fuel-fired superheater. The addition of about 20–26 percent of energy as fuel doubles the power cycle’s efficiency as compared to organic fluid Rankine cycles operating at similar collector temperatures. A sensitivity analysis of the system’s performance to the size and type of its components was performed by a transient (hourly) computer simulation over the month of August in two representative climatic regions (Washington, D.C. and Phoenix, Ariz.), and led to the description of a system configuration which provides optimal energy performance. The newly designed turbine’s predicted efficiency is seen to be essentially invariant with system configuration, and has a monthly average value of about 73 percent.


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