Digital Commons Network^™

Thermal Analog To Afm Force-Displacement Measurements For Nanoscale Interfacial Contact Resistance, Brian D. Iverson, John E. Blendell, Suresh V. Garimella

Faculty Publications

Thermal diffusion measurements on PMMA-coated Si substrates using heated AFM tips were performed to determine the contact resistance between an organic thin film and Si. The measurement methodology presented demonstrates how the thermal contrast signal obtained during a force-displacement ramp is used to quantify the resistance to heat transfer through an internal interface. The results also delineate the interrogation thickness beyond which thermal diffusion in the organic thin film is not affected appreciably by the underlying substrate.

Characterization Of Electrowetting Processes Through Force Measurements, Nathan B. Crane, Pradeep Mishra, Alex A. Volinsky

Faculty Publications

A new method of characterizing electrowetting is presented in which the forces applied to a modified nanoindenter tip by a test water droplet are measured. A droplet is trapped between the flat nanoindenter tip and the test substrate containing the necessary electrodes. When voltage is applied to the electrodes in the substrate, lateral and normal forces are exerted on the tip and measured by the nanoindenter transducer. Proper selection of the tip geometry permits direct prediction of the resulting in-plane lateral forces using analytical formulas derived from the Young-Lippmann equation. Experimental results show good agreement with both analytical and numerical …

An Adaptive Control Strategy For Dstatcom Applications In An Electric Ship Power System, Pinaki Mitra, Ganesh K. Venayagamoorthy

Electrical and Computer Engineering Faculty Research & Creative Works

Distribution static compensator (DSTATCOM) is a shunt compensation device that is generally used to solve power quality problems in distribution systems. In an all-electric ship power system, power quality issues arise due to high-energy demand loads such as pulse loads. This paper presents the application of a DSTATCOM to improve the power quality in a ship power system during and after pulse loads. The control strategy of the DSTATCOM plays an important role in maintaining the voltage at the point of common coupling. A novel adaptive control strategy for the DSTATCOM based on artificial immune system (AIS) is presented in …

Sentencing Reform In California, Aaron J. Rappaport

Faculty Scholarship

No abstract provided.

Above All Else Stop Digging: Local Government Law As A (Partial) Cause Of (And Solution To) The Current Housing Crisis, Darien Shanske

Faculty Scholarship

No abstract provided.

A Moral Perspective On The Role Of Education In Sustaining The Middle Class Symposium On The Rise & Fall Of The Middle Class: Essay, Susan Pace Hamill

Essays, Reviews, and Shorter Works

No abstract provided.

Diapycnal Diffusivities In Homogeneous Stratified Turbulence, D. D. Stretch, S. K. Venayagamoorthy

Civil, Architectural and Environmental Engineering Faculty Research & Creative Works

Quantifying diapycnal mixing in stably stratified turbulence is fundamental to the understanding and modeling of geophysical flows. Data of diapycnal mixing from direct numerical simulations of homogeneous stratified turbulence and from grid turbulence experiments, are analyzed to investigate the scaling of the diapycnal diffusivity. In these homogeneous flows the instantaneous diapycnal diffusivity is given exactly by Kd= ∈ρ/ (∂ ρ /∂z)²where ∈ρ is the dissipation rate of density fluctuations, and ∂ ρ /∂z is the mean density gradient. The diffusivity Kd may be expressed in terms of the large-scale properties of the turbulence as K d = γLE …

Modeling Permanent Deformation Of Unbound Granular Materials Under Repeated Loads, Cheng Chen, Louis Ge, Jiansheng Zhang

Civil, Architectural and Environmental Engineering Faculty Research & Creative Works

Finite-element analysis on a pavement structure under traffic loads has been a viable option for researchers and designers in highway pavement design and analysis. Most of the constitutive drivers used were nonlinear elastic models defined by empirical resilient modulus equations. Few isotropic/kinematic hardening elastoplastic models were used but applying thousands of repeated load cycles became computationally expensive. in this paper, a cyclic plasticity model based on fuzzy plasticity theory is presented to model the long-term behavior of unbound granular materials under repeated loads. the discussion focuses on the model parameters that control long-term behavior such as elastic shakedown. the performance …

2010-2011 Graduate Catalog, Armstrong Atlantic State University

Armstrong Office of the Registrar: Graduate Catalogs (Archived)

Academic catalog for Armstrong Atlantic State University.

Undergraduate And Graduate Catalog [2009-2010], Georgia Southern University

Undergraduate & Graduate Catalogs

No abstract provided.

2010-2011 Undergraduate Catalog, Armstrong Atlantic State University

Armstrong Office of the Registrar: Undergraduate Catalogs (Archived)

Academic catalog for Armstrong Atlantic State University.

Performing Ethnographic Inquiry Into America's Black Youth Culture: The Impact Of Hip Hop And Rap Music On Today's Youth Society, Rose Cummings Spikes

College of Graduate Studies: Theses & Dissertations

This is an ethnographic inquiry into America's black youth culture. It is an exploration of how the "hip hop culture" influences black youth culture. Drawing on the works of Rose (1994a, 1994b), Dimitriadis (2001), and Kitwana (2002), I explored impact of the hip hop culture in the areas of fashion, language and identity through the lens of young black males. To provide relevant theories for promoting higher academic achievement in African American males, I studied the works of Gay (2000), Ladson-Billings (2006, 2003, 2001, 1999), Weaver & Daspit (2003) and Watkins (2001). Sixth grade male students in a PreK-8 school, …

A Higher-Order Spectro-Temporal Integration Model For Predicting Signal Audibility, Qing Yang, John G. Harris

Electrical and Computer Engineering Faculty Research & Creative Works

A higher-order model to determine audibility of audio signals is presented. Previous models have been energy based (second order) and adequate only for stationary, narrow-band signals. Music, speech and other audio signals are nonstationary and wideband so traditional energy models poorly predict the audibility of these sounds. The predictions from the higher-order model are compared to actual subjective listening tests to show that the higher order, wide-band technique outperforms previous models. ©2010 IEEE.

Design And Characterization Of An Integrate-And-Fire Neural Recording System, Sheng Feng Yen, John G. Harris

Electrical and Computer Engineering Faculty Research & Creative Works

A neuronal recording system for brain-machine interfaces (BMI) based on asynchronous biphasic pulse coding is described. A recording experiment comparing, in parallel, a commercial recording system (Tucker-Davis Technology) and the UF's custom solution (FWIRE) is set up to compare performance. The novel aspect of the UF system is that the analog signal is represented by an asynchronous pulse train, which provides a low-power, low-bandwidth, noise-resistant means for coding and transmission. Based on different front-end hardware settings, recording bandwidth and corresponding reconstruction accuracy can be varied. Taking advantage of neural firing features, the pulse-based approach requires less than 3K pulses/second to …

Mahalanobis Taguchi System (Mts) As A Prognostics Tool For Rolling Element Bearing Failures, Ahmet Soylemezoglu, Sarangapani Jagannathan, Can Saygin

Electrical and Computer Engineering Faculty Research & Creative Works

In this paper, a novel Mahalanobis-Taguchi system (MTS)-Based fault detection, isolation, and prognostics scheme is presented. the proposed data-driven scheme utilizes the Mahalanobis distance (MD)-Based fault clustering and the progression of MD values over time. MD thresholds derived from the clustering analysis are used for fault detection and isolation. When a fault is detected, the prognostics scheme, which monitors the progression of the MD values, is initiated. Then, using a linear approximation, time to failure is estimated. the performance of the scheme has been validated via experiments performed on rolling element bearings inside the spindle headstock of a microcomputer numerical …

Dynamic System Eigenvalue Extraction Using A Linear Echo State Network For Small-Signal Stability Analysis - A Novel Application, Jiaqi Liang, Jing Dai, Ganesh K. Venayagamoorthy, Ronald G. Harley

Electrical and Computer Engineering Faculty Research & Creative Works

A large nonlinear dynamic system usually has complex dynamic modes corresponding to the system's eigenvalues. These eigenvalues govern the system's local behavior and thus are critical information for designing system operation and control strategies. Without the availability of the system's analytical model, which is often the case for large nonlinear systems, the system's eigenvalues need to be estimated. a linear echo state network (ESN) based method for extracting observable eigenvalues of a dynamic system together with the participation factors of these eigenvalues in the accessible system states is presented in this paper. a linear ESN is first trained to track …

On The Power Allocation For Relay Networks With Finite-Alphabet Constraints, Weiliang Zeng, Mingxi Wang, Chengshan Xiao, Jianhua Lu

Electrical and Computer Engineering Faculty Research & Creative Works

In this paper, we investigate the optimal power allocation scheme for relay networks with finite-alphabet constraints. It has been shown that the previous work utilizing various design criteria with the Gaussian inputs assumption may lead to significant loss for a practical system with finite constellation set constraint, especially when signal-to-noise ratio (SNR) is in medium-to-high regions, or when the channel coding rate is medium to high. an optimal power allocation scheme is proposed to maximize the mutual information for the relay networks under discrete-constellation input constraint. Numerical examples show that significant gain can be obtained compared to the conventional counterpart …

Zero-Sum Two-Player Game Theoretic Formulation Of Affine Nonlinear Discrete-Time Systems Using Neural Networks, S. Mehraeen, T. Dierks, S. Jagannathan, M. L. Crow

Electrical and Computer Engineering Faculty Research & Creative Works

In this paper, the nearly optimal solution for discrete-time (DT) affine nonlinear control systems in the presence of partially unknown internal system dynamics and disturbances is considered. the approach is based on successive approximate solution of the Hamilton-Jacobi-Isaacs (HJI) equation, which appears in optimal control. Successive approximation approach for updating control input and disturbance for DT nonlinear affine systems are proposed. Moreover, sufficient conditions for the convergence of the approximate HJI solution to the saddle-point are derived, and an iterative approach to approximate the HJI equation using a neural network (NN) is presented. Then, the requirement of full knowledge of …

Southern Educator, Georgia Southern University

College of Education: News & Publications (2003-2023)

• Koballa Appointed as COE Dean
• Jack Miller Faculty Awards
• Fall 2010 Numbers
• Welcome New Faculty
• Another Georgia Teacher of the Year from Georgia Southern
• Counselor Educators of the Year – 2010
• Vafa Gasimova Muskie Fellow
• International Student Teacher Exchanges
• SMART Scholar Program
• Alumni Advisory Council Says "Yes!"
• Engraved Bricks: Next Order December 31
• One-Room Schoolhouse Moved to Botanical Garden
• Southern Educator Class Roll
• Staff News

Scouting For A Tomboy: Gender-Bending Behaviors In Harper Lee's To Kill A Mockingbird, Laura Hakala

College of Graduate Studies: Theses & Dissertations

In Harper Lee's To Kill a Mockingbird, Scout Finch challenges gender stereotypes in her determination to remain a tomboy. Scout interacts with five parental characters (Atticus, Calpurnia, Aunt Alexandra, Miss Maudie, and Boo Radley), who offer models for Scout's behaviors. Though primarily unconventional in terms of gender, these parental figures fluctuate between ideals, demonstrating that gender is an unstable standard that alters according to each individual. Lee depicts characters who resist conforming to the paradigms of masculinity and femininity and instead fill middle positions between the stereotypes, as Scout's tomboyism exemplifies. After encountering different models, Scout consistently exhibits these genderbending …

The Effect Of Mentorship: A Test Of Strength And Survival In Theodore Dreiser's Sister Carrie & Edith Wharton's The House Of Mirth, Kathryn Agliata

College of Graduate Studies: Theses & Dissertations

In this thesis, I will compare the role of Mentorship in the lives of protagonists Lily Bart of Edith Wharton’s The House of Mirth, and Carrie Meeber of Theodore Dreiser’s Sister Carrie. Both Lily and Carrie experience life altering events that force them into unfamiliar roles amidst the upper-class New York Society of the early 19th Century. Each woman’s circumstances foster a growing level of independence, and each is compelled to examine the potential of her own skill set. The challenges they face include financial struggles, difficulty in establishing and or maintaining their desired status in society, as well as …

Decentralized Nearly Optimal Control Of A Class Of Interconnected Nonlinear Discrete-Time Systems By Using Online Hamilton-Bellman-Jacobi Formulation, S. Mehraeen, Sarangapani Jagannathan

Electrical and Computer Engineering Faculty Research & Creative Works

In this paper, the direct neural dynamic programming technique is utilized to solve the Hamilton Jacobi-Bellman (HJB) equation online and forward-in-time for the decentralized nearly optimal control of nonlinear interconnected discrete-time systems in affine form with unknown internal subsystem and interconnection dynamics. Only the state vector of the local subsystem is considered measurable. the decentralized optimal controller design for each subsystem consists of an action neural network (NN) that is aimed to provide a nearly optimal control signal, and a critic NN which approximates the cost function. the NN weights are tuned online for both the NNs. It is shown …

Optimal Control Of Affine Nonlinear Continuous-Time Systems Using An Online Hamilton-Jacobi-Isaacs Formulation, T. Dierks, Sarangapani Jagannathan

Electrical and Computer Engineering Faculty Research & Creative Works

Solving the Hamilton-Jacobi-Isaacs (HJI) equation, commonly used in ℋ∞ optimal control, is often referred to as a two-player differential game where one player tries to minimize the cost function while the other tries to maximize it. in this paper, the HJI equation is formulated online and forward-in-time using a novel single online approximator (SOLA)-Based scheme to achieve optimal regulation and tracking control of affine nonlinear continuous-time systems. the SOLA-Based adaptive approach is designed to learn the infinite horizon HJI equation, the corresponding optimal control input, and the worst-case disturbance. a novel parameter tuning algorithm is derived which not only achieves …

Hardware Implementation Of Triply Selective Rayleigh Fading Channel Simulators, Fei Ren, Yahong Rosa Zheng

Electrical and Computer Engineering Faculty Research & Creative Works

In this paper, we implement a real-time hardware triply selective Rayleigh fading simulator. This simulator incorporates the inter-tap and spatial correlation matrices into multiple uncorrelated frequency-flat Rayleigh fading waveforms (including temporal correlation) to simulate a multiple-input multiple-output (MIMO) triply selective Rayleigh fading channel. in the correlation incorporation procedure, this simulator uses a Kronecker product method to save a large amount of hardware memories. Occupying 34% hardware resources of one Stratix III FPGA chip, this simulator can simulate 4 x 4 MIMO fading channels with 10 correlated delay-taps per subchannel in real-time for a symbol rate of 3.69 μs. Accuracy of …

Optimal Control Of Affine Nonlinear Continuous-Time Systems, T. Dierks, Sarangapani Jagannathan

Electrical and Computer Engineering Faculty Research & Creative Works

In this paper, the optimal regulation and tracking control of affine nonlinear continuous-time systems with known dynamics is undertaken using a novel single online approximator (SOL)-Based scheme. the SOLA-Based adaptive approach is designed to learn the infinite horizon continuous time Hamilton-Jacobi-Bellman (HJB) equation and its corresponding optimal control input. a novel parameter tuning algorithm is derived which not only ensures the optimal cost (HJB) function and control input are achieved, but also ensures the system states remain bounded during the online learning process. Lyapunov techniques show that all signals are uniformly ultimately bounded (UUB) and the approximated control signal approaches …

Faculty Senate Librarian's Report-2010, Georgia Southern University

Faculty Senate: Librarian's Reports

No abstract provided.

A Continuous Regression Function For The Delaunay Calibration Method, Francesco Corona, Elia Liitiäinen, Amaury Lendasse, Roberto Baratti, Lorenzo Sassu

Engineering Management and Systems Engineering Faculty Research & Creative Works

The Delaunay Tessellation and Topological Regression is a Local Simplex Method for Multivariate Calibration. the Method, developed within Computational Geometry, Has Potential for Applications in Online Analytical Chemistry and Process Monitoring. This Study Proposes a Novel Approach to Perform Prediction and Extrapolation using Delaunay Calibration Method. the Main Property of the Proposed Extension is the Continuity of the Estimated Regression Function Also Outside the Calibration Domain. to Support the Presentation, an Application in Estimating the Aromatic Composition in Light Cycle Oil by Near Infrared Spectroscopy is Discussed. © 2009 Ifac.

Effect Of Different Detrending Approaches On Computational Intelligence Models Of Time Series, Federico Montesino Pouzols, Amaury Lendasse

Engineering Management and Systems Engineering Faculty Research & Creative Works

This Paper Analyzes the Impact of Different Detrending Approaches on the Performance of a Variety of Computational Intelligence (Ci) Models. Three Approaches Are Compared: Linear, Nonlinear Detrending (based on Empirical Mode Decomposition) and First-Differencing. Five Representative Ci Methods Are Evaluated: Dynamic Evolving Neural-Fuzzy Inference System (DENFIS), Gaussian Process (GP), Multilayer Perceptron (MP), Optimally Pruned Extreme Learning Machine (Op-Elm) and Support Vector Machines (SVM). Four Major Conclusions Are Drawn from Experiments Performed on Six Time Series Benchmarks: 1) Qualitatively, the Effect of Detrending is Remarkably Uniform for All the Ci Methods Considered, 2) Extraction of the overall Trend Does Not Improve …

An Improved Methodology For Filling Missing Values In Spatiotemporal Climate Data Set, Antti Sorjamaa, Amaury Lendasse, Yves Cornet, Eric Deleersnijder

Engineering Management and Systems Engineering Faculty Research & Creative Works

In This Paper, an Improved Methodology for the Determination of Missing Values in a Spatiotemporal Database is Presented. This Methodology Performs Denoising Projection in Order to Accurately Fill the Missing Values in the Database. the Improved Methodology is Called Empirical Orthogonal Functions (EOF) Pruning, and It is based on an Original Linear Projection Method Called Empirical Orthogonal Functions (EOF). the Experiments Demonstrate the Performance of the Improved Methodology and Present a Comparison with the Original EOF and with a Widely Used Optimal Interpolation Method Called Objective Analysis. © Springer Science + Business Media B.v. 2009.

Op-Elm: Optimally Pruned Extreme Learning Machine, Yoan Miche, Antti Sorjamaa, Patrick Bas, Olli Simula, Christian Jutten, Amaury Lendasse

Engineering Management and Systems Engineering Faculty Research & Creative Works

In This Brief, the Optimally Pruned Extreme Learning Machine (Op-Elm) Methodology is Presented. It is based on the Original Extreme Learning Machine (Elm) Algorithm with Additional Steps to Make It More Robust and Generic. the Whole Methodology is Presented in Detail and Then Applied to Several Regression and Classification Problems. Results for Both Computational Time and Accuracy (Mean Square Error) Are Compared to the Original Elm and to Three Other Widely Used Methodologies: Multilayer Perceptron (MLP), Support Vector Machine (SVM), and Gaussian Process (GP). as the Experiments for Both Regression and Classification Illustrate, the Proposed Op-Elm Methodology Performs Several Orders …