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Performance Study Of Mpls And Ds Techniques To Improve Qos Routing For Critical Applications On Ip Networks, Salim Alsharif, Mohammad Mehdi Shahsavari
Performance Study Of Mpls And Ds Techniques To Improve Qos Routing For Critical Applications On Ip Networks, Salim Alsharif, Mohammad Mehdi Shahsavari
Electrical Engineering and Computer Science Faculty Publications
This paper aims to analyze the QoS performance of two main technology mechanisms, Multi-Protocol Label Switching (MPLS) and Differentiated Services (DS). The introduction of both mechanisms to support throughput and delay sensitive real-time media traffic will have an impact on critical applications with respect to QoS and traffic engineering. MPLS is a traffic forwarding mechanism that allows traffic to use multiple paths and DS is a mechanism that provides for aggregate traffic to be classified and conditioned at the edge of the network routers. The two modeled techniques and their performance will be evaluated with respect to their end-to-end delay. …
A Pixel To Pixel Hyperspectral Synthetic Image Model Inter-Comparison Study, Charles R. Bostater, Luce Bassetti
A Pixel To Pixel Hyperspectral Synthetic Image Model Inter-Comparison Study, Charles R. Bostater, Luce Bassetti
Ocean Engineering and Marine Sciences Faculty Publications
The purpose of this paper is to present simulation results comparing e a Monte Carlo Hyperspectral Simulation Model (MCHSIM) which generates synthetic images with realistic water wave surface to an iterative layered radiative transfer model used to generate hyperspectral synthetic images with realistic water wave surfaces. The Monte Carlo model is divided into 5 steps: (1) generation of the photons, (2) tracking of the photon optical path and simultaneously (3) recording of the photon's location within the water column, (4) a tabulation of the photon location or positions, and conversion to meaningful radiometric quantities and (5) a calculation and processing …
Hyperspectral Simulation And Recovery Of Submerged Targets In Turbid Waters, Charles R. Bostater
Hyperspectral Simulation And Recovery Of Submerged Targets In Turbid Waters, Charles R. Bostater
Ocean Engineering and Marine Sciences Faculty Publications
Modeled hyperspectral reflectance signatures just above the water surface are obtained from radiative transfer models to create synthetic images of targets below the water surface. Images are displayed as 24 bit RGB images of the water surface using selected channels. Example model outputs are presented in this paper for a hyperspectral Monte Carlo and a hyperspectral layered analytical iterative model of radiative transport within turbid shallow water types. Images at the selected wavelengths or channels centered at 490, 530 and 680 nm suggests the two models provide quite similar results when displayed as RGB images. The techniques are demonstrated to …
Influence Of Water Waves On Hyperspectral Remote Sensing Of Subsurface Water Features, Charles R. Bostater Jr., Luce Bassetti
Influence Of Water Waves On Hyperspectral Remote Sensing Of Subsurface Water Features, Charles R. Bostater Jr., Luce Bassetti
Ocean Engineering and Marine Sciences Faculty Publications
Modeled hyperspectral reflectance signatures with water wave influences are simulated using an analytical-based, iterative radiative transport model applicable to shallow or deep waters. Light transport within the water body is simulated using a fast, accurate radiative transfer model that calculates the light distribution in any layered media and incorporates realistic water surfaces which are synthesized using empirically-based spectral models of the water surface to generate water surface wave facets. The model simulated synthetic images are displayed as 24 bit RGB images of the water surface using selected channels from the simulated synthetic hyperspectral image cube. We show selected channels centered …
Data Assimilation Of Avhrr And Modis Data For Land Base Initialization And Boundary Conditions In The Utc-M Atmospheric Boundary Layer Sea-Breeze Model Of Space Coast Florida, Charles R. Bostater Jr., Jerome A. King, Lisa H. Huddleston, Luce Bassetti
Data Assimilation Of Avhrr And Modis Data For Land Base Initialization And Boundary Conditions In The Utc-M Atmospheric Boundary Layer Sea-Breeze Model Of Space Coast Florida, Charles R. Bostater Jr., Jerome A. King, Lisa H. Huddleston, Luce Bassetti
Ocean Engineering and Marine Sciences Faculty Publications
The purpose of this paper is to present results of simulations of the Florida Tech UTC-M sea-breeze model22 with the addition of a simplified atmospheric downwelling radiation subroutine1,4 combined and a thermal inertia subroutine17,19,20 into the atmospheric planetary boundary layer model, in order to calculate time dependant heat flux boundary conditions at the air-land boundary that are derived from satellite data from AVHRR and MODIS sensors. The improved UTC-M planetary boundary layer model with this thermal sub-model subroutine is used to demonstrate the use of thermal inertia to help estimate heat fluxes at the land-air interface which in turn influences …
Synthetic Image Generation Of Shallow Water Using An Iterative Layered Radiative Transfer Model With Realistic Water Surface Waves, Charles R. Bostater Jr., Lisa Huddleston, Luce Bassetti
Synthetic Image Generation Of Shallow Water Using An Iterative Layered Radiative Transfer Model With Realistic Water Surface Waves, Charles R. Bostater Jr., Lisa Huddleston, Luce Bassetti
Ocean Engineering and Marine Sciences Faculty Publications
Modeled hyperspectral reflectance signatures just above the water surface are obtained from an analytical-based, iterative radiative transport model applicable to shallow water types. Light transport within the water body is simulated using a fast, accurate radiative transfer model that calculates the light distribution in any layered media. A realistic water surface is synthesized using empirically-based spectral models of the ocean surface to generate water surface waves. Images are displayed as 24 bit RGB images of the water surface using selected channels from a synthetic hyperspectral image cube. The selected channels are centered at 490, 530 and 676 nm. Hyperspectral image …
Hyperspectral Remote Sensing Protocol Development For Submerged Aquatic Vegetation In Shallow Waters, Charles R. Bostater Jr., T. Ghir, L. Bassetti, Carlton Hall, E. Reyier, R. Lowers, K. Holloway-Adkins, Robert Virnstein
Hyperspectral Remote Sensing Protocol Development For Submerged Aquatic Vegetation In Shallow Waters, Charles R. Bostater Jr., T. Ghir, L. Bassetti, Carlton Hall, E. Reyier, R. Lowers, K. Holloway-Adkins, Robert Virnstein
Ocean Engineering and Marine Sciences Faculty Publications
Submerged aquatic vegetation (SAV) is an important indicator of freshwater and marine water quality in almost all shallow water aquatic environments. Throughout the world the diversity of submerged aquatic vegetation appears to be in decline, although sufficient historical data, of sufficient quantitative quality is lacking. Hyperspectral remote sensing technology, available from low altitude aircraft sensors, may provide a basis to improve upon existing photographic regional assessments and monitoring concerned with the aerial extent and coverage of SAV. In addition, modern low altitude remote sensing may also help in the development of environmental satellite requirements for future satellite payloads. This paper …
Synthetic Image Generation Of Shallow Waters Using A Parallelized Hyperspectral Monte Carlo & Analytical Radiative Transfer Model, Charles R. Bostater, Gen-Tao Chiang, Lisa H. Huddleston, Manuel Gimond
Synthetic Image Generation Of Shallow Waters Using A Parallelized Hyperspectral Monte Carlo & Analytical Radiative Transfer Model, Charles R. Bostater, Gen-Tao Chiang, Lisa H. Huddleston, Manuel Gimond
Ocean Engineering and Marine Sciences Faculty Publications
Modeled hyperspectral reflectance signatures just above the water surface are obtained from radiative transfer models to create synthetic images of the water surface. Images are displayed as 24 bit RGB images of the water surface using selected channel. Comparisons are made in this paper between a hyperspectral Monte Carlo and a hyperspectral layered analytical model ofradiative transport applicable to shallow water types. Images at the selected wavelengths or channels centered at 490, 530 and 680 nm suggests the two models provide the same results when displayed as RGB images. The most sensitive parameters for generating realistic images are water depth …
Iterative Algorithm For Layered Optical Remote Sensing Reflectance Modeling Of Natural Waters With Depth-Dependent Aquatic Constituent, Charles R. Bostater, Lisa H. Huddleston, Carrie Semmler, John Mieles
Iterative Algorithm For Layered Optical Remote Sensing Reflectance Modeling Of Natural Waters With Depth-Dependent Aquatic Constituent, Charles R. Bostater, Lisa H. Huddleston, Carrie Semmler, John Mieles
Ocean Engineering and Marine Sciences Faculty Publications
This paper describes the radiative transfer of the sun's electromagnetic energy utilizing a solution to the two-flow irradiance equations that generates fast and accurate estimates of light distributions in any layered media, such as water with depth dependent concentrations of water column constituents. The layered model is designed to generate synthetic water surface reflectance signatures and associated synthetic images, in the presence of depth dependent water constituents, various bottom types, and variable water depths. The layered model accounts for specular (collimated) irradiance below the water's surface and utilizes boundary conditions that allow the absorption, backscatter, beam attenuation, and conversion (from …
Comparison Of Three Clustering Algorithms And An Application To Color Image Compression, Jihun Cha, Laurene V. Fausett
Comparison Of Three Clustering Algorithms And An Application To Color Image Compression, Jihun Cha, Laurene V. Fausett
Electrical Engineering and Computer Science Faculty Publications
This paper investigates a traditional clustering algorithm (K-means) and two neural networks (SOM and ART-F). The characteristics of each algorithm are illustrated by simulating geometric space data clustering. Then each algorithm is applied to image data sets to compress the size by reducing the number of colors from 256 to 16.