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Articles 70471 - 70500 of 70526
Full-Text Articles in Entire DC Network
Our Features And Our Fictions, Maria Fernanda Satizabal-Ruales
Focus: An Efficient Solar Cooking System, Sampada Peshwe
Effect Of Casting Conditions On The Crystallization And Resulting Morphology In Compatibilized And Uncompatibilized Poly (Ethylene Oxide )-Poly (Vinylidene Fluoride) Blends, Tejas Upasani
Theses
This thesis describes the effect of casting conditions on the crystallization and resulting morphology in compatibilized and uncompatibilized blends of poly(ethylene oxide) and poly (vinylidene fluoride). Two systems based on grades of PVDF were used: Kynar 301, pure PVDF, and Kynar7201, a 80:20 copolymer of PVDF and hexafluoro propylene. Poly (methyl methacrylate) and poly (vinyl acetate) were used as compatibilizers. Acetonitrile and tetrahydrofuran were used as common solvents to prepare the polymer blends. Two casting conditions were employed. In the first, hot polymer solutions were precipitated in cold hexane. In the second, the hot solutions were cast on aluminum pans. …
Shanghai Beauty, Ding Ye
A Multi-Hypothesis Approach For Salient Object Tracking In Visual Surveillance, Filiz Bunyak, Ilker Ersoy, S. R. Subramanya
A Multi-Hypothesis Approach For Salient Object Tracking In Visual Surveillance, Filiz Bunyak, Ilker Ersoy, S. R. Subramanya
Electrical and Computer Engineering Faculty Research & Creative Works
In this paper, a multiple object tracking method for visual surveillance applications is presented. Moving objects are detected by adaptive background subtraction and tracked by using a multi-hypothesis testing approach. Object matching between frames is done based on proximity and appearance similarity. a new confidence measure is assigned to each possible match. This information is arranged into a graph structure where vertices represent blobs in consecutive frames and edges represent match confidence values. This graph is later used to prune and refine trajectories to obtain the salient object trajectories. Occlusions are handled through position prediction using Kalman filter and robust …
Greetings From The Technical Program Chair, Steve Eugene Watkins
Greetings From The Technical Program Chair, Steve Eugene Watkins
Electrical and Computer Engineering Faculty Research & Creative Works
No abstract provided.
Shadow Detection By Combined Photometric Invariants For Improved Foreground Segmentation, Filiz Bunyak, Ilker Ersoy, S. R. Subramanya
Shadow Detection By Combined Photometric Invariants For Improved Foreground Segmentation, Filiz Bunyak, Ilker Ersoy, S. R. Subramanya
Electrical and Computer Engineering Faculty Research & Creative Works
Detection and tracking of moving objects are the essential steps of many video understanding applications such as traffic monitoring, video surveillance and visual event recognition. Moving object detection process segments the scene into foreground (moving) and background regions. Moving cast shadows cause serious problems in this process because they can easily be misclassified as foreground. This misclassification may lead to drastic changes in the shapes of objects or merging of multiple objects. in this paper, we present a method to detect moving cast shadows to improve the performance of moving object detection. the foreground regions are processed in terms of …
Effects Of Hurricanes And Fires On Southeastern Savanna-Forest Landscapes, Heather Alicia Passmore
Effects Of Hurricanes And Fires On Southeastern Savanna-Forest Landscapes, Heather Alicia Passmore
LSU Doctoral Dissertations
Sequential large-scale disturbances may produce interacting effects that differ from those predicted for each disturbance in isolation. These non-additive effects can strongly influence the composition and structure of plant communities. Hurricanes and natural lightning-season fires are large-scale, frequent disturbances in southeastern savanna-forest landscapes. Although interactive effects have been proposed, my research is the first to develop and experimentally test mechanistic hypotheses for hurricane-fire interactions. I develop a predictive conceptual model for interacting disturbances. I propose that hurricane-fire interactions depend on the relative timing of disturbances and the duration of effects. To predict the conditions under which hurricane-fire interactions are expected, …
Host-Parasite Cophylogeny And Rates Of Evolution In Two Rodent-Louse Assemblages, Jessica E. Light
Host-Parasite Cophylogeny And Rates Of Evolution In Two Rodent-Louse Assemblages, Jessica E. Light
LSU Doctoral Dissertations
Studies of cophylogeny greatly increase understanding of associations between hosts and their parasites. This study uses molecular data to test the hypothesis that members of two rodent families (Geomyidae and Heteromyidae) and their associated lice (Geomydoecus and Fahrenholzia, respectively) show a statistically significant pattern of cophylogeny. Both host groups are generally solitary organisms and both louse groups are obligate ectoparasites, often exhibiting extreme degrees of host specificity. This intimate and potentially long-term association likely has resulted in coevolutionary adaptations and counter adaptations on the part of both symbiotic partners. Phylogenetic analysis of chewing lice (Geomydoecus) reveals two major clades corresponding …
Fast Algorithms For Layered Media, Weng Cho Chew, Bin Hu, Y. C. Pan, Lijun Jiang
Fast Algorithms For Layered Media, Weng Cho Chew, Bin Hu, Y. C. Pan, Lijun Jiang
Electrical and Computer Engineering Faculty Research & Creative Works
This paper gives an overview of computational electromagnetics for simulating complex structures with a large number of unknowns using integral equation method. First, it discusses the pros and cons of differential equation solvers versus integral equation solvers. Then it gives an overview of different fast algorithms for solving integral equations. It also discusses the difficulty of solving electromagnetic problems in the "twilight zone" between static and full-wave electromagnetics. Finally, it discusses various methods for fast solutions of scattering and coupling problems involving layered media both for statics and dynamic problems, and presents some numerical results. © 2005 Académie des sciences. …
Characterization Of The Class I Major Histocompatibility Complex Of The Macaca Fascicularis, Gregory Matuszek
Characterization Of The Class I Major Histocompatibility Complex Of The Macaca Fascicularis, Gregory Matuszek
Theses
In an attempt to establish Macaca fascicularis as a viable animal model for disease studies, characterization of the MHC class I genes is necessary. The necessity arises because the MHC class I molecules have a functional role in immune response. Pig-tailed macaques Macaca nemestrina) and rhesus macaques (Macaca mulatta), two species closely related to Macaca fascicularis have been commonly used to model HIV infection and are well characterized in regards to their MHC class I molecules. As an initial step in establishing M. fascicularis as an animal model, we have cloned and characterized both classical and nonclassical MHC class I …
Qos Multi Meshed Tree Routing In Tethered Manet, Vishal Gogula
Qos Multi Meshed Tree Routing In Tethered Manet, Vishal Gogula
Theses
The QoS Multi Meshed Tree Routing is a routing protocol designed to provide Quality of Service (QoS) in Tethered Mobile Ad hoc Networks (tMANET) in terms of bandwidth. This project is a part of the research project titled "Framework for Seamless Roaming, Handoff, and QOS Mapping in Next Generation Networks conducted at the Laboratory for Wireless Networking and Security, headed by faculty member Dr. Nirmala Shenoy. OPNET (Optimum Performance Network), a well-known network simulation tool, is used to implement the design and conduct performance studies of QoS MMT. QoS MANET protocol implements features such as route discovery, link failure identification, …
M2mi Service Discovery Middleware Framework, Joel Donado
M2mi Service Discovery Middleware Framework, Joel Donado
Theses
M2MI has been thought of as a paradigm for applications running on ad hoc networks of fixed and mobile wireless proximal devices. For this to function, so far, we have relied on the human configuration of the devices sharing the same application. This includes, setting up the M2MI layer through Java, and starting the M2MI application. M2MI has worked fine under this scheme. A more general approach is to join a network and automatically discover any services available, in the case we have the M2MI layer already started. Afterwards, we can choose the service that we want to use. For …
Framework For Throughput Analysis Of Simple Reliable Multicast Protocol In A M2mp Network, Romi Saluja
Framework For Throughput Analysis Of Simple Reliable Multicast Protocol In A M2mp Network, Romi Saluja
Theses
M2MP has been developed to support M2MI applications in a mostly reliable wireless network. Currently, most M2MI/M2MP applications have been developed and tested in a reliable wired network. There has been a requirement to test the M2MP in a real world environment i.e. an unreliable proximal ad-hoc wireless network of mobile devices, where devices are constantly joining and leaving the network. Also, M2MP provides unreliable multicast service. There is a requirement to build and integrate a reliable multicast layer to the M2MP implementation to provide reliable multicast service. This Master s project aims to satisfy the requirements by building a …
Elgamal-Type Signature Schemes In Modular Arithmetic And Galois Fields, Gerard Nealon
Elgamal-Type Signature Schemes In Modular Arithmetic And Galois Fields, Gerard Nealon
Theses
A digital signature is like a handwritten signature for a file, such that it ensures the identity of the person responsible for the file and prevents any unauthorized changes to the original file. Digital signatures use the same technology as most public key cryptosystems in which there is a public and private key. Most mathematical operations are done over a field Zp where p is some large prime. It is possible to do the same operations over other finite fields. My project explains and studies the different finite fields that can be used as well as ways to implement and …
Evaluation Of Errors In National Energy Forecasts, Denys Sakva
Evaluation Of Errors In National Energy Forecasts, Denys Sakva
Theses
Energy forecasts are widely used by the U.S. government, politicians, think tanks, and utility companies. While short-term forecasts were reasonably accurate, medium and long-range forecasts have almost always been highly erroneous. In the U.S. many energy policy decisions are driven by Annual Energy Outlook (AEO) forecasts prepared by Energy Information Association (EIA). This thesis evaluates accuracy of AEO reports from 1982 to 2003. Parameters evaluated are: total energy consumption, energy consumption by sector, sector specific parameters, and major model assumptions. Error decomposition and regression analysis are used to appraise accuracy of forecasts. I found that often underlying parameters used to …
Emi Specifics Of Synchronous Dc-Dc Buck Converters, Zhe Li, David Pommerenke
Emi Specifics Of Synchronous Dc-Dc Buck Converters, Zhe Li, David Pommerenke
Electrical and Computer Engineering Faculty Research & Creative Works
DC-DC buck converter topology is widely used in computers and telecom applications because of its high power efficiency and multiple DC levels. However, EMI can be an issue because of its fast switching characteristics and large currents. This paper addresses the analysis of radiated EMI problems associated with DC-DC buck converters and evaluates the effectiveness of solutions that minimize the reverse recovery of the drain-bulk diode of the synchronous switching MOSFET.
An Investigation Of Selected Academic And Nonacademic Predictor Variables Of Academic Performance Of Student-Athletes At Louisiana State University, Derek Jerone Morgan
An Investigation Of Selected Academic And Nonacademic Predictor Variables Of Academic Performance Of Student-Athletes At Louisiana State University, Derek Jerone Morgan
LSU Doctoral Dissertations
This study investigated the effects of selected predictor variables of academic achievement on the academic performance of student-athletes at Louisiana State University. This study attempted to identify cognitive and noncognitive variables that might explain the variance in the cumulative college grade point average (GPA)among student-athletes at LSU enrolled during the 2003-04 academic year. Cognitive variables included ACT composite score, high school GPA, and cumulative college GPA. Noncognitive variables included positive self-concept, support of academic plans, and community involvement. In addition, data were collected for two sport variables--type of sport participation (revenue and non-revenue generating sports) and time spent on sport …
The Influence Of Ammonia And Carbon Dioxide On The Sorption Of A Basic Organic Pollutant To A Mineral Surface, Maneerat Ongwandee, Glenn Morrison, S. S. Bettinger
The Influence Of Ammonia And Carbon Dioxide On The Sorption Of A Basic Organic Pollutant To A Mineral Surface, Maneerat Ongwandee, Glenn Morrison, S. S. Bettinger
Civil, Architectural and Environmental Engineering Faculty Research & Creative Works
Indoor surfaces have a sorptive capacity for organic pollutants which may be significantly influenced by other gases and the pH of the surface. in this research, we examine the influence of a common indoor gaseous acid, CO2, and base, NH3, on the adsorption of a volatile organic base, trimethylamine (TMA), to a mineral surface, zirconium silicate beads. Varying ammonia and CO2 within concentration ranges of indoor relevance substantially influences the sorptive capacity of this mineral surface. Increasing the CO2 mixing ratio to 1000 p.p.m. enhances surface capacity of TMA by 40-50%; increasing the NH3 …
Craftsmanship And The Postmodern, Robert S. Oliver
Modification Of A Single-Solvent-Based Gravure Ink For Enhance Wettability And Substrate Adhesion, Wiphut Janjomsuke
Modification Of A Single-Solvent-Based Gravure Ink For Enhance Wettability And Substrate Adhesion, Wiphut Janjomsuke
Theses
In this research, the effect of solvent types and pigment types on C-type ester-based gravure inks were studied. Three of the widely used solvent types and two of the pigment types were used in this study. The characteristics of the modified inks were investigated by measuring the most important physical properties of the inks: (i) surface energy, (ii) contact angle, (iii) viscosity and (iv) substrate adhesion. The experiment results showed that the ink properties changed significantly depending on the solvent type, while pigment type variation had a negligible effect on the ink properties. From this experiment, the most improved properties …
Feasability Of Printing Rfid Antennas On Corrugated Paperboard, Juthamart Sayampol
Feasability Of Printing Rfid Antennas On Corrugated Paperboard, Juthamart Sayampol
Theses
Radio Frequency Identification (RFID) is a trace-and-track technology using RF signals for communication. RFID system was expected to replace barcodes and magnetic stripes because of its extra benefits for the supply chain: multiple items tracking and operation without line-of-sight. A major limitation of RFID technology was the cost of implementation. Since the existing method for RFID applications - "Slap and Ship" - was costly and time-and-labor consuming, this study was aimed to investigate whether the new method - printed-RFID-antenna - could be used in corrugated packaging industry for cost reduction purpose, and also whether those printed antennas could function under …
Computer Vision-Based Monitoring Of Abrasive Loading During Wood Machining, Bhavin S. Vora
Computer Vision-Based Monitoring Of Abrasive Loading During Wood Machining, Bhavin S. Vora
Theses
Surface quality is an important characteristic commonly assessed in wooden products. Sanding relies on coated abrasives as tooling for both dimensioning and surface finishing but their performance is dependent on chip loading and grit wear. Traditionally, the useful life of abrasive belts in sanding operation has been manually assessed. This type of inspection is highly subjective and dependent upon individual expertise, consequently leading to under utilization or over utilization of the abrasive. This, in turn, affects the production costs and quality of the product. In this work, an intelligent classification method that determines the optimal replacement policy for a belt …
Stochastic Optimal Control With Neural Networks And Application To A Retailer Inventory Problem, Zhongwu Huang, Xiaohua Wang, S. N. Balakrishnan
Stochastic Optimal Control With Neural Networks And Application To A Retailer Inventory Problem, Zhongwu Huang, Xiaohua Wang, S. N. Balakrishnan
Mechanical and Aerospace Engineering Faculty Research & Creative Works
Overwhelming computational requirements of classical dynamic programming algorithms render them inapplicable to most practical stochastic problems. To overcome this problem a neural network based Dynamic Programming (DP) approach is described in this study. The cost function which is critical in a dynamic programming formulation is approximated by a neural network according to some designed weight-update rule based on Temporal Difference(TD)learning. A Lyapunov based theory is developed to guarantee an upper error bound between the output of the cost neural network and the true cost. We illustrate this approach through a retailer inventory problem.
The Architecture Of A Proteomic Network In The Yeast, Emad Ramadan, Christopher Osgood, Alex Pothern
The Architecture Of A Proteomic Network In The Yeast, Emad Ramadan, Christopher Osgood, Alex Pothern
Biological Sciences Faculty Publications
We describe an approach to clustering the yeast protein-protein inter-action network in order to identify functional modules, groups of proteins forming multi-protein complexes accomplishing various functions in the cell. We have developed a clustering method that accounts for the small-world nature of the network. The algorithm makes use of the concept of k-cores in a graph, and employs recursive spectral clustering to compute the functional modules. The computed clusters are annotated using their protein memberships into known multi-protein complexes in the yeast. We also dissect the protein interaction network into a global subnetwork of hub proteins (connected to several clusters), …
Comparison Of Phytoplankton And Autotrophic Picoplankton Populations Over A 24-Hour Period From A Pond's Surface And Subsurface Waters, Harold G. Marshall, Lubomira Burchardt, Elżbieta Wilk-Woźniak
Comparison Of Phytoplankton And Autotrophic Picoplankton Populations Over A 24-Hour Period From A Pond's Surface And Subsurface Waters, Harold G. Marshall, Lubomira Burchardt, Elżbieta Wilk-Woźniak
Biological Sciences Faculty Publications
Phytoplankton abundance and composition relationships within the surface layer changed over short time periods (4-6 hours) in comparison with more constant associations at 2 cm below the surface. Both strata had a diverse algal flora (>50 taxa), but no distinct neuston assemblage characterized the surface layer algal composition over the 24-hour study. The similarity between the two strata indicated the floral composition of the surface layer came from the water column algae below the surface. Chlorophytes, diatoms, cyanobacteria, and cryptophytes represented the most abundant algal categories for both strata with a total mean phytoplankton abundance of 3,566 cells ml …
Measurement And Control Of Torque Ripple-Induced Frame Torsional Vibration In A Surface Mount Permanent Magnet Machine, Jason Neely, Steven Pekarek, Daniel S. Stutts, Philip Beccue
Measurement And Control Of Torque Ripple-Induced Frame Torsional Vibration In A Surface Mount Permanent Magnet Machine, Jason Neely, Steven Pekarek, Daniel S. Stutts, Philip Beccue
Mechanical and Aerospace Engineering Faculty Research & Creative Works
A sensor to measure the stator torsional vibration due to torque ripple produced by a surface mount permanent magnet machine is first described. The sensor is relatively inexpensive and is straight forward to incorporate into a drive system. Experiments are performed to validate that the voltage produced by the sensor is linearly related to torque ripple amplitude. Closed-loop controllers are then described that adjust the stator current harmonics applied to the machine to achieve a commanded average torque while mitigating measured torsional vibration. Simulation and experimental results are used to demonstrate the effectiveness of the control techniques.
Effects Of Human Disturbances On The Behavior Of Wintering Ducks, Melissa L. Pease, Robert K. Rose, Mark J. Butler
Effects Of Human Disturbances On The Behavior Of Wintering Ducks, Melissa L. Pease, Robert K. Rose, Mark J. Butler
Biological Sciences Faculty Publications
Human activity causes wintering waterfowl to expend energy to avoid humans at a time in their annual cycle when energy conservation is important to survival, migration, and breeding reserves. Understanding the effects of recreational activities on waterfowl is important to managing natural resource areas where migratory birds depend on wetland habitat for resting and feeding. We investigated responses of 7 species of dabbling ducks to 5 different experimental human activities, (a pedestrian, a bicyclist, a truck traveling at 2 different speeds, and an electric passenger tram). Responses of ducks depended on type of disturbance, species, and distance from disturbances. Most …
Dynamic Re-Optimization Of A Mems Controller In Presence Of Unmodeled Uncertainties, Nishant Unnikrishnan, S. N. Balakrishnan, Venkat Durbha
Dynamic Re-Optimization Of A Mems Controller In Presence Of Unmodeled Uncertainties, Nishant Unnikrishnan, S. N. Balakrishnan, Venkat Durbha
Mechanical and Aerospace Engineering Faculty Research & Creative Works
Online trained neural networks have become popular in recent years in designing robust and adaptive controllers for dynamic systems with uncertainties in their system equations because of their universal function approximation property. This paper discusses a technique that dynamically reoptimizes a Single Network Adaptive Critic (SNAC) based optimal controller in the presence of unmodeled uncertainties. The controller design is carried out in two steps: (i) synthesis of a set of online neural networks that capture the uncertainties in the plant equations on-line (ii) re-optimization of the existing optimal controller to drive the states of the plant to a desired reference …
A Review Of Phytoplankton Composition Within Chesapeake Bay And Its Tidal Estuaries, Harold G. Marshall, Lubomira Burchardt, Richard Lacouture
A Review Of Phytoplankton Composition Within Chesapeake Bay And Its Tidal Estuaries, Harold G. Marshall, Lubomira Burchardt, Richard Lacouture
Biological Sciences Faculty Publications
Based on a continuous 20-year data base ofmonthly sampling in Chesapeake Bay and tidal regions of its major tributaries, 1454 phytoplankton taxa have been identified in these waters. They represent a diverse assemblage of species with a dominant diatom flora throughout the year, in addition to large seasonal representation by chlorophytes, cyanobacteria, cryptophytes and dinoflagellates. Included among this flora were 34 potential harmful or toxin producing species. The phytoplankton compositions associated with the seasonal successional patterns are discussed, in addition to characterizing the dominant floral relationships, with comparison to early composition records within the Bay. Several of the present day …