Digital Commons Network^™

Introduction To Television Production, Steelman Library, Roxane Griner

Syllabus Repository

No abstract provided.

Old Testament Survey, Gerry White

Syllabus Repository

No abstract provided.

Biblical Hermeneutics, Michael L. Dusing

Syllabus Repository

No abstract provided.

New Testament Survey, Melissa Archer

Syllabus Repository

No abstract provided.

Bint 3523 Arc Fa12, Melissa Archer

Syllabus Repository

No abstract provided.

Sustainability In The Plastics Industry: Concerns, Issues, And Strategies, Bonnie Bachman, Shristy Bashyal, Margaret Baumann

Economics Faculty Research & Creative Works

An increased corporate emphasis on sustainability can be seen in such areas as: annual reports with published sustainability goals, sustainability management systems with balanced scorecards and dashboards, websites using increased screen area and space for sustainability communications, internal and external stakeholder opinion gathering, development of sustainable supply chain plans, and marketing strategies focusing on green or sustainable consumers. To address this ever increasing attention to sustainability, a research project to understand sustainability in the plastics industry was initiated with the membership of the Society of Plastics Engineers (SPE). This paper focuses on the results of the research (global survey) and …

Advance (Spring 2012), Georgia Southern Division Of Continuing And Professional Education

Division of Continuing & Professional Education

No abstract provided.

Advance (Fall 2012), Georgia Southern Division Of Continuing And Professional Education

Division of Continuing & Professional Education

No abstract provided.

A Comparison Analysis Of Defensive Routines And Theories-In-Use Of Engineering And Non-Engineering Managers, Tyria Riley

Doctoral Dissertations

"Engineering managers are managers who have an understanding of both the technical and business world in organizations. Many lead teams of their peers who are purely technical individuals. However, the success of an engineering manager depends on being able to function in both worlds when necessary. There is a stigma that engineers experience challenges in areas such as communication, conflict resolution, and leadership. Due to these challenges, defensive routines are likely to exist. Defensive routines are behaviors that are common in many managers and may hinder the success of an organization. This research uses a case study approach to measure …

Analyses Of Alternative Energy Deployments, Mathew Thomas

Doctoral Dissertations

"Energy use around the world is rising drastically. Fossil fuels, including liquid fuels, natural gas, and coal, are expected to supply 80% of the world's energy need in 2035. As a result, the world's energy-related carbon dioxide emission is expected to increase from 30.2 billion metric tons in 2008 to 43.2 billion metric tons in 2035. Significant steps are necessary to reduce the dependence on fossil fuel and to reduce greenhouse gas emissions. Renewable and alternative energy technologies can assist in reducing the use of fossil fuels and can reduce greenhouse gas emissions. However, most of the renewable energy technologies …

Low-Complexity Soft-Decision Feedback Turbo Equalization For Multilevel Modulations, Huang Lou

Doctoral Dissertations

"This dissertation proposes two new decision feedback equalization schemes suitable for multilevel modulation systems employing turbo equalization. One is soft-decision feedback equalization (SDFE) that takes into account the reliability of both soft a priori information and soft decisions of the data symbols. The proposed SDFE exhibits lower signal to noise ratio (SNR) threshold that is required for "water fall" bit error rate (BER) and much faster convergence than the near-optimal exact minimum mean square error linear equalizer (Exact-MMSE-LE) for high-order constellation modulations. The proposed SDFE also offers a low computational complexity compared to the Exact-MMSE-LE. The drawback of the SDFE …

Dual Active Bridge Converters In Solid State Transformers, Hengsi Qin

Doctoral Dissertations

"This dissertation presents a comprehensive study of Dual Active Bridge (DAB) converters for Solid State Transformers (SSTs). The first contribution is to propose an ac-ac DAB converter as a single stage SST. The proposed converter topology consists of two active H-bridges and one high-frequency transformer. Output voltage can be regulated when input voltage changes by phase shift modulation. Power is transferred from the leading bridge to the lagging bridge. It analyzes the steady-state operation and the range of zero-voltage switching. It develops a switch commutation scheme for the ac-ac DAB converters. Simulation and experiment results of a scaled down prototype …

Characterization Of Wave Transport In Non-Conservative Media With Random And Correlated Disorder, Benjamin Henry Payne

Doctoral Dissertations

"Passive quasi-one-dimensional random media exhibit one of the three regimes of transport - ballistic, diffusive, or Anderson localization - depending on system size. The ballistic and diffusion approximations assumes particle transport, whereas Anderson Localization occurs when wave self-interference effects are dominant. When the system contains absorption or gain, then how the regimes can be characterized becomes unclear. By investigating theoretically and numerically the ratio of transmission to energy in a random medium in one dimension, we show this parameter can be used to characterize localization in random media with gain. Non-conservative media implies a second dimension for the transport parameter …

The Risk Mitigation Strategy Taxonomy And Generated Risk Event Effect Neutralization Method, Daniel A. Krus

Doctoral Dissertations

"In the design of new products and systems, the mitigation of potential failures is very important. The sooner in a product's design mitigation can be performed, the lower the cost and easier to implement those mitigations become. However, currently, most mitigations strategies rely on the expertise of the engineers designing a product, and while models and for failure modes do exist to help, there are no guidelines for performing product changes to reduce risk. To help alleviate this, the risk mitigation strategy taxonomy is created from an empirical collection of mitigation strategies used in industry for failure mitigation, creating a …

Evolutionary Computing Driven Search Based Software Testing And Correction, Joshua Lee Wilkerson

Doctoral Dissertations

"For a given program, testing, locating the errors identified, and correcting those errors is a critical, yet expensive process. The field of Search Based Software Engineering (SBSE) addresses these phases by formulating them as search problems. This dissertation addresses these challenging problems through the use of two complimentary evolutionary computing based systems. The first one is the Fitness Guided Fault Localization (FGFL) system, which novelly uses a specification based fitness function to perform fault localization. The second is the Coevolutionary Automated Software Correction (CASC) system, which employs a variety of evolutionary computing techniques to perform testing, correction, and verification of …

Updated Eor Screening Criteria And Modeling The Impacts Of Water Salinity Changes On Oil Recovery, Ahmad Aladasani

Doctoral Dissertations

"Developing technologies for enhanced oil recovery (EOR) from existing oil fields would supply the world's energy needs for several decades. The application of EOR in many major oil-producing countries remains in its conceptual stage. Thermal and gas EOR methods achieve high incremental rates; however, their application range has not broadened significantly as they have matured, while the rate at which new, promising EOR methods such as Low-salinity water flooding (LSWF) are being implemented is alarming. Despite, the potential of LSWF its development and application has been hindered by the lack of consensus concerning its recovery mechanism(s). Every oil reservoir has …

Data Fusion By Using Machine Learning And Computational Intelligence Techniques For Medical Image Analysis And Classification, Beibei Cheng

Doctoral Dissertations

"Data fusion is the process of integrating information from multiple sources to produce specific, comprehensive, unified data about an entity. Data fusion is categorized as low level, feature level and decision level. This research is focused on both investigating and developing feature- and decision-level data fusion for automated image analysis and classification. The common procedure for solving these problems can be described as: 1) process image for region of interest' detection, 2) extract features from the region of interest and 3) create learning model based on the feature data. Image processing techniques were performed using edge detection, a histogram threshold …

Null Convention Logic Applications Of Asynchronous Design In Nanotechnology And Cryptographic Security, Jun Wu

Doctoral Dissertations

"This dissertation presents two Null Convention Logic (NCL) applications of asynchronous logic circuit design in nanotechnology and cryptographic security. The first application is the Asynchronous Nanowire Reconfigurable Crossbar Architecture (ANRCA); the second one is an asynchronous S-Box design for cryptographic system against Side-Channel Attacks (SCA). The following are the contributions of the first application: 1) Proposed a diode- and resistor-based ANRCA (DR-ANRCA). Three configurable logic block (CLB) structures were designed to efficiently reconfigure a given DR-PGMB as one of the 27 arbitrary NCL threshold gates. A hierarchical architecture was also proposed to implement the higher level logic that requires a …

Complex Scaling Behavior In Animal Foraging Patterns, Prabhavi Kaushalya Premachandra

Doctoral Dissertations

This dissertation attempts to answer questions from two different areas of biology, ecology and neuroscience, using physics-based techniques. In Section 2, suitability of three competing random walk models is tested to describe the emergent movement patterns of two species of primates. The truncated power law (power law with exponential cut off) is the most suitable random walk model that characterizes the emergent movement patterns of these primates. In Section 3, an agent-based model is used to simulate search behavior in different environments (landscapes) to investigate the impact of the resource landscape on the optimal foraging movement patterns of deterministic foragers. …

Purification Of Metals Through Filtration And Electromagnetic Separation, Lucas Nana Wiredu Damoah

Doctoral Dissertations

"The applicability of a high frequency electromagnetic field to the removal of nonmetallic inclusions from silicon and aluminum, and the mechanism of depth mode filtration during aluminum purification were investigated. Electromagnetic separation experiments at frequencies of 63 - 120 kHz and aluminum filtration experiments using both conventional Al₂O₃ filters and AlF₃ coated Al₂O₃ filters were carried out by flowing molten aluminum through, and partly solidified in the filter bed followed by analysis of the metal and filter material. Materials were characterized with an optical microscope and macroscope, scanning electron microscope (SEM/EDX), x-ray diffraction (XRD), electron probe microanalysis (EPMA) and glow …

An Improved Dipole-Moment Model Based On Near-Field Scanning For Characterizing Near-Field Coupling And Far-Field Radiation From An Ic, Zhenwei Yu

Doctoral Dissertations

"Radio Frequency Interference (RFI) problems are critical issues in wireless platform design. The accurate noise model of integrated circuits (ICs) is needed to help designers to diagnose and predict RFI problems. In this dissertation, an improved IC radiated emission model based on near-field measurements is proposed. The regularization technique and the truncated SVD method are employed together with the least square method to calculate the dipole moments from the near-field data. This dipole model has clear physical meaning: the electric and magnetic dipoles represent the voltage and the current in the circuit, respectively. One application of this dipole model is …

Spatial-Temporal Reasoning Applications Of Computational Intelligence In The Game Of Go And Computer Networks, Tae-Hyung Kim

Doctoral Dissertations

"Spatial-temporal reasoning is the ability to reason with spatial images or information about space over time. In this dissertation, computational intelligence techniques are applied to computer Go and computer network applications. Among four experiments, the first three are related to the game of Go, and the last one concerns the routing problem in computer networks.

The first experiment represents the first training of a modified cellular simultaneous recurrent network (CSRN) trained with cellular particle swarm optimization (PSO). Another contribution is the development of a comprehensive theoretical study of a 2x2 Go research platform with a certified 5 dan Go expert. …

Strategic Management And Entrepreneurship As Economic Development Tools, Norbert Ziemer

Doctoral Dissertations

This research develops a framework of Biobased Entrepreneurial Ventures for Rural Economic Development. Rural economic development poses unique challenges and opportunities, based on available production assets, workforce trends like "brain drain," and access to industry clusters. However, certain entrepreneurial venture opportunities are preferable for rural economic development. Since supply chains are vital to business success, initial emphasis is placed on the biomass resource base to be transformed through entrepreneurial activity into higher economic value outputs. The literature contains research on specific opportunities in rural economic development (e.g. ethanol, wind power). Many of these are limited in scope and depend on …

Stochastic Optimal Adaptive Controller And Communication Protocol Design For Networked Control Systems, Hao Xu

Doctoral Dissertations

"Networked Control System (NCS) is a recent topic of research wherein the feedback control loops are closed through a real-time communication network. Many design challenges surface in such systems due to network imperfections such as random delays, packet losses, quantization effects and so on. Since existing control techniques are unsuitable for such systems, in this dissertation, a suite of novel stochastic optimal adaptive design methodologies is undertaken for both linear and nonlinear NCS in presence of uncertain system dynamics and unknown network imperfections such as network-induced delays and packet losses. The design is introduced in five papers.

In Paper 1, …

Sustainable Engineering Practices In Transportation Projects, Kiran Rangarajan

Doctoral Dissertations

"Sustainability has become an important issue in transportation and infrastructure development projects. While several agencies are trying to incorporate a range of sustainability measures in their goals and missions, only a few planning agencies have been able to implement these policies and they are far from perfect. The low rate of success in implementing sustainable policies is primarily due to incomplete understanding of the system and the interaction between various elements of the system. The conventional planning efforts focuses mainly on performance measures pertaining to the system and its impact on the environment but seldom on the social and economic …

Real-Time Supply Chain Predictive Metrics, William Scott Hunter

Doctoral Dissertations

"Supply chains drive the production world. Virtually all products use a supply chain to produce them and they can determine the success of companies using them. The ability to manage supply chains is currently a mix of relationship management and science, combining personal and company relationships with data analysis.

The increased dependency on supply chains has increased the need to develop and use predictive real-time metrics to manage supply chain risk, measure suppliers and drive performance. Current metrics used are reactive and stagnant in nature. Real-time metrics will allow supply chain professionals to better manage risk. Current management techniques include …

Real-Time Localization Using Received Signal Strength, Mohammed Rana Basheer

Doctoral Dissertations

"Locating and tracking assets in an indoor environment is a fundamental requirement for several applications which include for instance network enabled manufacturing. However, translating time of flight-based GPS technique for indoor solutions has proven very costly and inaccurate primarily due to the need for high resolution clocks and the non-availability of reliable line of sight condition between the transmitter and receiver. In this dissertation, localization and tracking of wireless devices using radio signal strength (RSS) measurements in an indoor environment is undertaken. This dissertation is presented in the form of five papers.

The first two papers deal with localization and …

Modeling Aperture Radiation For Rf Interference Applications, Liehui Ren

Doctoral Dissertations

"The first topic proposes a rigorous method of moments(MoM) solution to evaluate the shielding effectiveness of a metallic enclosure with apertures on top wall by formulating a pair of coupled mixed potential integral equations (MPIEs). Application of Ewald transform to the computation of Green's function in the cavity yields fast convergence of series summation. Good agreements with a commercial tool, EMC studio, have proved the effectiveness of the proposed approach.

The second topic deals with prediction of electromagnetic interference radiation from components or interconnects in a printed circuit board by using convolution of the half-space Green's functions and the equivalent …

Advanced Neural Networks And Their Applications In Smart Grids, Bipul Luitel

Doctoral Dissertations

"Today, neural networks (NN) are used in several system identification and nonlinear control system applications. However, their implementation on large systems has been limited either because of their degraded performance or the amount of time and computation required for implementing them being impractical for real applications. The primary emphasis of this research is on the development of advanced NN - simultaneous recurrent neural networks (SRN) and cellular neural networks (CNN); and methods for learning the complexity of large systems.

US electricity infrastructure is one of the largest and the most critical infrastructure consisting of thousands of generators connected by transmission …

Analyzing Risk And Catastrophic Accidents: Using Lopa And Human Factors To Improve Safety In Generic Projects, Siddharth B. Damle

Doctoral Dissertations

"Risk assessment and identification in the early stages of any project is critical to the success of that project from time, budget and cost prespective [sic]. Identifying unacceptable risks and making provisions to mitigate those, can reduce the uncertainty in the project and ensure its smooth completion and closure. Various techniques have been developed over time to identify and quantify risks. Inspite of all the available research on risk management tools, accidents continue to happen and projects consistently fail.

The objective of this study is to first, determine the generic risks that can be encountered by a project. A list …