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Articles 3451 - 3480 of 3862
Full-Text Articles in Physical Sciences and Mathematics
An Implicit Surface Modeling Technique Based On A Modular Neural Network Architecture, Manuel Carcenac
An Implicit Surface Modeling Technique Based On A Modular Neural Network Architecture, Manuel Carcenac
Turkish Journal of Electrical Engineering and Computer Sciences
Independently from artificial intelligence applications, an artificial neural network can be viewed as a powerful tool for function reconstruction. Previous papers used this property to model an implicit surface out of some control points by reconstructing its underlying scalar field. Such an approach requests the neural network to memorize the control points, which has turned problematic for complex surfaces. In our paper, we show that this problem can be efficiently tackled by adapting the architecture of the neural network to the features compounding the surface: by learning first these features independently and then blending them gradually together, our modular architecture …
Real-Time Classification Algorithm For Recognition Of Machine Operating Modes By Use Of Self-Organizing Maps, Gancho Vachkov, Yuhiko Kiyota, Koji Komatsu, Satoshi Fujii
Real-Time Classification Algorithm For Recognition Of Machine Operating Modes By Use Of Self-Organizing Maps, Gancho Vachkov, Yuhiko Kiyota, Koji Komatsu, Satoshi Fujii
Turkish Journal of Electrical Engineering and Computer Sciences
In this paper a new algorithm for classification and real-time recognition of different a-priorily assumed operating modes for construction machines is proposed. This algorithm utilizes the effectiveness of the Self-Organizing Maps (SOM) for creating the so called Separation Models, that are able to distinguish each operating mode separately. After training, these models are used in a real-time procedure, which calculates at each sampling time the minimal Euclidean distances from the current data point to a certain node of each SOM. Then the separation model (represented by a respective SOM) that has the least minimal distance to this data point defines …
Water Resources Year In Review - Winter 2004, Vol. 17, No. 2, Annis Water Resource Institute
Water Resources Year In Review - Winter 2004, Vol. 17, No. 2, Annis Water Resource Institute
AWRI Reviews
No abstract provided.
Physiology And Biochemistry Of Sclerotinia Sclerotiorum, A Fungal Plant Pathogen, Erastus Gatebe
Physiology And Biochemistry Of Sclerotinia Sclerotiorum, A Fungal Plant Pathogen, Erastus Gatebe
Masters Theses
No abstract provided.
Vertical Dynamical Transport Of Mesospheric Constituents By Dissipating Gravity Waves, Alan Z. Liu, Chester S. Gardner
Vertical Dynamical Transport Of Mesospheric Constituents By Dissipating Gravity Waves, Alan Z. Liu, Chester S. Gardner
Physical Sciences - Daytona Beach
Over 400 h of Na wind/temperature lidar observations, obtained at the Star5re Optical Range, NM, are used to study the vertical dynamical transport of Na in the mesopause region between 85 and 100 km. Dynamical transport occurs when dissipating, non-breaking gravity waves impart a net vertical displacement in atmospheric constituents as they propagate through a region. We show that the vertical constituent flux can be related in a simple way to the vertical heat flux. Breaking gravity waves also contribute to eddy transport by generating turbulence. Because eddy transport is a mixing process, it only occurs in the presence of …
Increased Frequency Of The Mthfr A1298c Mutation In An Irish Population, Cathal Mccarthy, Fergus Ryan, Joseph Vaughan
Increased Frequency Of The Mthfr A1298c Mutation In An Irish Population, Cathal Mccarthy, Fergus Ryan, Joseph Vaughan
Articles
No abstract provided.
Contrast Enhancement Of Ultrasound Images Using Shunting Inhibitory Cellular Neural Networks, Murali M. Gogineni
Contrast Enhancement Of Ultrasound Images Using Shunting Inhibitory Cellular Neural Networks, Murali M. Gogineni
Theses: Doctorates and Masters
Evolving from neuro-biological insights, neural network technology gives a computer system an amazing capacity to actually generate decisions dynamically. However, as the amount of data to be processed increases, there is a demand for developing new types of networks such as Cellular Neural Networks (CNN), to ease the computational burden without compromising the outcomes. The objective of this thesis is to research the capability of Shunting Inhibitory Cellular Neural Networks (SICNN) to solve the clarity problems in ultrasound imaging. In this thesis, we begin by reviewing a number of traditional enhancement techniques and measures. Since the entire work of this …
Xafs Debye-Waller Factors For Zn Metalloproteins, Nicholas Dimakis, Grant Bunker
Xafs Debye-Waller Factors For Zn Metalloproteins, Nicholas Dimakis, Grant Bunker
Physics & Astronomy Faculty Publications
An accurate and practical method for the calculation and use of thermal x-ray absorption fine structure (XAFS) Debye-Waller factors (DWFs) in active sites of metalloproteins is presented. These factors are calculated on model clusters within the local density functional approximation with nonlocal corrections. The DWFs are mapped out and parametrized as a function of the first shell distance and an angle (where applicable), for all significant single and multiple scattering paths, as well as the sample temperature. This approach is applied to the biologically essential but spectroscopically silent Zn+2 active sites composed of histidines, cysteines, and carboxylate ligands in homogeneous …
Investigation Of Implementation Techniques For Backpropagation Neural Networks., John Culloty
Investigation Of Implementation Techniques For Backpropagation Neural Networks., John Culloty
Theses
Artificial neural networks are biologically inspired computational methods that have the ability to approximate discrete, real and vector valued target functions. For some problem domains this ability makes neural networks a more appealing solution than traditional computational techniques. Such problem domains typically contain a large number of parameters that are interrelated in a complex and often unknown manner. This makes rule based solutions all but impossible. However another feature of such problem domains is the presence of large volumes of real world data that can be used to tram a neural network until it learns the solution.
One of the …
A Proposal To Meet The Biofuels Directive In Ireland, Karl Mccarthy
A Proposal To Meet The Biofuels Directive In Ireland, Karl Mccarthy
Theses
In 1990 the transport sector accounted for 9,5% of all Irish emissions. By 2010 it is predicted that transport emissions will have increased by 179%, accounting for 18.8% of all emissions. It is predicted that transport emissions will therefore be around 14,000 kt in 2010. This equates to around €370 million pa in carbon taxes if and when the taxation regime is introduced. This €370 million may be used to facilitate a biofuel industry (for example, by reducing excise duty on biofuels).
The proposed carbon tax along with the EU Biofuels Directive aims to encourage the use of renewable transport …
Integrating Experiments And Simulators Into A Distributed E-Learning Environment, Frank Koehler
Integrating Experiments And Simulators Into A Distributed E-Learning Environment, Frank Koehler
Theses
New information and communication technologies have emerged in the last few years which have made an impact on learning at all levels. At universities, the spectrum of learning support ranges from enriching traditional lectures and courses with multi- media elements to complete web-based interactive learning environments. A special aspect based on the new media technologies is learning within model worlds by use of simulations or real-life experiments. There are normally no links between these applications and the learning content, so it is impossible to tap the full potential of these applications. Research activities in the area of e-learning underline the …
Investigation Of Implementation Techniques For Backpropagation Neural Networks, John Culloty
Investigation Of Implementation Techniques For Backpropagation Neural Networks, John Culloty
Theses
Artificial neural networks are biologically inspired computational methods that have the ability to approximate discrete, real and vector valued target functions. For some problem domains this ability makes neural networks a more appealing solution than traditional computational techniques. Such problem domains typically contain a large number of parameters that are interrelated in a complex and often unknown manner. This makes rule based solutions all but impossible. However another feature of such problem domains is the presence of large volumes of real world data that can be used to tram a neural network until it learns the solution.
One of the …
The Synthesis And Characterisation Of Diiron And Triiron Carbonyl Cluster Compounds With Sulphur And Phosphine Ligands, Geraldine Gray
The Synthesis And Characterisation Of Diiron And Triiron Carbonyl Cluster Compounds With Sulphur And Phosphine Ligands, Geraldine Gray
Theses
This work is primarily concerned with the synthesis and characterisation of di and triiron carbonyl cluster derivatives which contain sulphur and phosphine ligands.
The first chapter is a review of the literature of such complexes. Included are diiron carbonyl clusters which contain phosphine ligands, those which contain sulphur, and those that contain phosphine and sulphur ligands. Triiron carbonyl clusters which contain phosphine ligands, sulphur ligands and both are also discussed.
Chapter two describes the synthesis of compounds of the type [{Fe2(SR)2(CO)5)2Ph2P (CH2)nPPh2] (R = …
Revolving Door Scenario For Congressional Fellows, David W. Hafemeister
Revolving Door Scenario For Congressional Fellows, David W. Hafemeister
Physics
No abstract provided.
Rectification Of Thermal Fluctuations In Ideal Gases, Alejandro Garcia, P. Meurs, C. Van De Broeck
Rectification Of Thermal Fluctuations In Ideal Gases, Alejandro Garcia, P. Meurs, C. Van De Broeck
Faculty Publications
We calculate the systematic average speed of the adiabatic piston and a thermal Brownian motor, introduced by C. Van den Broeck, R. Kawai and P. Meurs [Phys. Rev. Lett. 93, 090601 (2004)], by an expansion of the Boltzmann equation and compare with the exact numerical solution.
The Syntheses Of Novel Indicators And Materials For Chiral Separation, Rolanda Johnson
The Syntheses Of Novel Indicators And Materials For Chiral Separation, Rolanda Johnson
LSU Doctoral Dissertations
The colorimetric properties of resorcinarene solutions had not been fully investigated since von Baeyer's initial synthesis. We find that the solutions containing resorcinarene macrocycles develop color upon heating or standing. In the presence of saccharides, these solutions exhibit significant color changes which are readily observable by visual inspection. We determined that the solution color is due to macrocycle ring opening and oxidation. The optical responses to saccharides are due to complexation of the sugar with the acyclic chromophores. We have applied these mechanistic insights towards the challenging problems of the visual detection of saccharides and other important biologically analytes. In …
Investigation Of Structure-Property Relationships Of Heavy-Fermion Materials, Robin Macaluso
Investigation Of Structure-Property Relationships Of Heavy-Fermion Materials, Robin Macaluso
LSU Doctoral Dissertations
This work focuses on how local structural features influence large effective masses, magnetism, and superconductivity that are yet to be understood in heavy-fermion materials. Three sets of structurally-related materials are discussed in light of dimensionality, layering effects, choice of transition metal, coordination, and structural distortions: LnnMIn3n+2 (Ln = La, Ce; n = 1, 2, ‡; M = Co, Rh, Ir), CePdGa6, and Ce2PdGa12, and CeNiSb3. The LnnMIn3n+2 (n = 1, 2, ‡; Ln = La, Ce; M = Rh, Ir) intergrowth homologous series presents a unique opportunity to study structure-property relationships. LnnMIn3n+2 (Ln = La, Ce; n = 1, 2; …
Class Groups And Norms Of Units, Costel Ionita
Class Groups And Norms Of Units, Costel Ionita
LSU Doctoral Dissertations
Our object of study is relative quadratic extensions of algebraic number fields. In 'Class Number Parity', the authors P.E. Conner and J. Hurrelbrink study in detail the cases of real and CM-extensions. In this paper we generalize some of the results without any assumption on the type of the relative quadratic extension.
Foreland Basins: Lithospheric Flexure, Plate Strength And Regional Stratigraphy, John Londono
Foreland Basins: Lithospheric Flexure, Plate Strength And Regional Stratigraphy, John Londono
LSU Doctoral Dissertations
Foreland basin subsidence through time is reproduced in this study, as the flexure of an elastic beam in an inviscid fluid under the vertical stress, caused by discrete-distributed loads. Thus, seismostratigraphic data from the Timor Sea peripheral foreland basin, in northwestern Australia, and the Putumayo retroarc foreland basin in the Colombian Andes, are forward modeled, at chronostratigraphic intervals, to assess the evolving geodynamic conditions of the basins. Results show that the accommodation in foreland basins varies as the depositional basement is vertically adjusted according to the regionally isostatic compensation of the lithosphere. Distributed tectonic (thrust belts) and sedimentary loads that …
President's Message, David J. Stroup
President's Message, David J. Stroup
Journal of the South Carolina Academy of Science
No abstract provided.
Building New Culture Media For Assisted Reproductive Technology., Mary N. Egbuniwe, H. Lee Higdon Iii, William R. Boone
Building New Culture Media For Assisted Reproductive Technology., Mary N. Egbuniwe, H. Lee Higdon Iii, William R. Boone
Journal of the South Carolina Academy of Science
No abstract provided.
Using Microenvironmental Effects To Increase Loading And Stereoselectivity For Polymer Bound Nabh4 Reagents., James R. Blanton
Using Microenvironmental Effects To Increase Loading And Stereoselectivity For Polymer Bound Nabh4 Reagents., James R. Blanton
Journal of the South Carolina Academy of Science
No abstract provided.
Comprehensive Evaluation Of Animated Instructional Software For Mechanics Of Materials, Timothy A. Philpot, Richard H. Hall
Comprehensive Evaluation Of Animated Instructional Software For Mechanics Of Materials, Timothy A. Philpot, Richard H. Hall
Civil, Architectural and Environmental Engineering Faculty Research & Creative Works
During the past three years, the Basic Engineering Department at the University of Missouri--Rolla has been developing a second-generation suite of instructional software called MecMovies for the mechanics of materials course. In the Fall 2003 semester, MecMovies was integrated into assignments throughout the entire semester for one of the six UMR mechanics of materials sections. This paper presents a comparison of student performance in the experimental section with student performance in five control sections along with discussion of student qualitative ratings and comments.
Development Of Electrochemical Sensors For Monitoring Glucose, Michael Nesbitt
Development Of Electrochemical Sensors For Monitoring Glucose, Michael Nesbitt
Theses
The thesis focuses on evaluating calcium alginate as an immobilisation matrix for the oxidase enzyme glucose oxidase for the amperometric determination of glucose. The basic principles of enzymology and enzyme immobilisation is discussed followed by a review of a variety of first, second and third generation type enzyme electrodes. Amperometry as governed by the Cottrell equation and mass transfer models relating to amperometric electrodes are also considered.
Bovine serum albumin (BSA / GOx) enzyme electrode system was employed as a model to evaluate a calcium alginate immobilisation technique for glucose oxidase. The principal methods employed for enzyme immobilisation were:
• …
A High Precision Radial Velocity Survey Of K Giants, David S. Mitchell
A High Precision Radial Velocity Survey Of K Giants, David S. Mitchell
Physics
Precise radial velocity measurements of stars can provide a powerful tool for both examining the intrinsic atmospheric activity of the star, and testing for the existence of substellar orbital companions. This method has been used to detect the vast majority of known extrasolar planets, as well as probing the asteroseismological characteristics of active stars. This dissertation presents the results of a precise radial velocity survey of 177 bright K giant stars. Six of the stars have data that indicate the presence of planetary or brown dwarf orbital companions. Many others have evidence of nonradial pulsations, and twenty binary stars are …
Development And Climate Change In Egypt: Focus On Coastal Resources And The Nile, Shardul Agrawala, Annett Moehner, Mohamed El Raey, Declan Conway, Maarten Van Aalst, Marca Hagenstad, Joel Smith
Development And Climate Change In Egypt: Focus On Coastal Resources And The Nile, Shardul Agrawala, Annett Moehner, Mohamed El Raey, Declan Conway, Maarten Van Aalst, Marca Hagenstad, Joel Smith
Egypt & Libya
This report presents the integrated case study for Egypt carried out under an OECD project on Development and Climate Change. The report is structured around a three-tiered framework. First, recent climate trends and climate change scenarios for Egypt are assessed and key sectoral impacts are identified and ranked along multiple indicators to establish priorities for adaptation. Second, donor portfolios are analyzed to examine the proportion of development assistance activities affected by climate risks. A desk analysis of donor strategies and project documents as well as national plans is conducted to assess the degree of attention to climate change concerns in …
Correction To "Breaking Of Thunderstorm-Generated Gravity Waves As A Source Of Short-Period Ducted Waves At Mesopause Altitudes", Jonathan B. Snively, Victor P. Pasko
Correction To "Breaking Of Thunderstorm-Generated Gravity Waves As A Source Of Short-Period Ducted Waves At Mesopause Altitudes", Jonathan B. Snively, Victor P. Pasko
Publications
No abstract provided.
Fact Sheet, Yale University Office Of Institutional Research
Fact Sheet, Yale University Office Of Institutional Research
Fact Sheets
No abstract provided.
Modeled And Observed Empirical Orthogonal Functions Of Currents In The Yucatan Channel, Gulf Of Mexico, Lie-Yauw Oey, Tal Ezer, Wilton Sturges
Modeled And Observed Empirical Orthogonal Functions Of Currents In The Yucatan Channel, Gulf Of Mexico, Lie-Yauw Oey, Tal Ezer, Wilton Sturges
CCPO Publications
Candela et al. [2003] have reported empirical orthogonal function (EOF) analyses based on 23-month current-meter and acoustic Doppler current profiler measurements in the Yucatan Channel. Those authors noted the difference between EOFs obtained from observations and their z-level models and EOFs calculated by Ezer et al. [2003] from the results of a terrain-following model. Here a new analysis is reported that explains this difference, and that also suggests the importance of shelf-edge meander mode of the core Loop Current in the channel. We show that the terrain-following model gives EOFs with characteristics similar to those observed when data from the …
Numerical Study Of The Diapycnal Flow Through A Tidal Front With Passive Tracers, Chingming Dong, Robert Houghton, Hsien-Wang Ou, Dake Chen, Tal Ezer
Numerical Study Of The Diapycnal Flow Through A Tidal Front With Passive Tracers, Chingming Dong, Robert Houghton, Hsien-Wang Ou, Dake Chen, Tal Ezer
CCPO Publications
A two-dimensional numerical model is used to study the diapycnal flow through a tidal front with passive tracers. In a basic numerical experiment a passive tracer is released into the bottom water at the offshore edge of a tidal front, and it subsequently moves on-bank with a velocity that decreases with time. This qualitatively agrees with a recent field experiment using a dye tracer on Georges Bank. Additional experiments are performed to investigate the sensitivity of the tracer dispersion to the tidal phase and the location of tracer release within the front. As the release point is moved on-bank across …