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Articles 1 - 17 of 17
Full-Text Articles in Engineering
Dynamic Simulation And Analysis Of Fsae Racer For Development Of Stability Control System, Stone D. Williford
Dynamic Simulation And Analysis Of Fsae Racer For Development Of Stability Control System, Stone D. Williford
Honors College Theses
Using Adams/Car software, a computer model of Georgia Southern University’s 2016 Formula Society of Automotive Engineers (FSAE) racecar was developed with the purpose of researching vehicle stability under dynamic conditions. Previous research in this field of study has been conducted to verify that Adams/Car simulations provide accurate results using data acquisition systems, so the major work for the current research has been to create an updated version of the vehicle designed and fabricated by Eagle Motor Sports. With this new model, vehicle roll, and pitch data as well as vehicle traction were collected during dynamic simulations. The overall goal for …
Scalability Of Microscale Fractal-Like Branching Channel Networks, James R. Miller Iii
Scalability Of Microscale Fractal-Like Branching Channel Networks, James R. Miller Iii
Honors College Theses
Fractal-like branching channel networks have been shown to offer the advantages of reduced pumping power and lower maximum wall temperatures when employed in the design of microscale heat sinks. Unfortunately, previous literature has been limited to microscale flow networks. In this paper, a microscale flow network will be scaled up to result in a mesoscale flow network and a macroscale flow network. In order to compare the pressure drop across the flow networks of varying scales the results will be nondimensionalized in the form of the Euler number. For a laminar inlet Reynolds number the microscale, mesoscale, and macroscale fractal-like …
Assessment Of Optimized Electrode Configuration In Electrical Impedance Myography Study Using Genetic Algorithm Via Finite Element Model, Somen Baidya
Electronic Theses and Dissertations
Electrical Impedance Myography (EIM) is a neurophysiologic technique in which high- frequency, low-intensity electrical current is applied via surface electrodes over a muscle or muscle group of interest and the resulting electrical parameters (resistance, reactance and phase) are analyzed to isolate diseased muscles from healthy ones. Beside muscle properties, some other anatomic and non-anatomic factors like muscle shape, subcutaneous fat (SF) thickness, inter-electrode distance, etc. also impact the major EIM parameters and thus affect the EIM analysis outcomes. The purpose of this study is to explore the effects of variation in some of these factors impose on EIM parameters and …
Enhancing Project Management With Lean World Class Manufacturing In Construction, Jacob Randles
Enhancing Project Management With Lean World Class Manufacturing In Construction, Jacob Randles
Electronic Theses and Dissertations
In construction, the goal of commercial projects is to turn a profit. This is achieved by minimizing inputs and maximizing outputs while building a product that meets the customer’s perception of value. Value is determined through pre-negotiated specifications, plans, and material quality. Even in U.S. military construction, the unit executing the construction wants to complete the task on time and on budget, which can be difficult to do. Studies on project completion showcase a surprisingly high rate of failure in reaching the aforementioned “on time, on budget” goal. It is important to understand the nuances and details of U.S. Army …
Performance Analysis Of Secondary Users In Heterogeneous Cognitive Radio Network, Tanjil Amin
Performance Analysis Of Secondary Users In Heterogeneous Cognitive Radio Network, Tanjil Amin
Electronic Theses and Dissertations
Continuous increase in wireless subscriptions and static allocation of wireless frequency bands to the primary users (PUs) are fueling the radio frequency (RF) shortage problem. Cognitive radio network (CRN) is regarded as a solution to this problem as it utilizes the scarce RF in an opportunisticmanner to increase the spectrumefficiency. InCRN, secondary users (SUs) are allowed to access idle frequency bands opportunistically without causing harmful interference to the PUs. In CRN, the SUs determine the presence of PUs through spectrum sensing and access idle bands by means of dynamic spectrum access. Spectrum sensing techniques available in the literature do not …
Experimental And Numerical Investigation Of Aerodynamic Performance For Vertical-Axis Wind Turbine Models With Various Blade Designs, Travis E. Salyers
Experimental And Numerical Investigation Of Aerodynamic Performance For Vertical-Axis Wind Turbine Models With Various Blade Designs, Travis E. Salyers
Electronic Theses and Dissertations
The demand for wind energy as a renewable source is rising substantially. A growing interest exists in utilizing potential energy conversion applications in areas with less powerful and less consistent wind conditions. In these areas, vertical-axis wind turbines (VAWTs) possess several advantages over the conventional horizontal-axis type. Savonius turbines are drag-based rotors which operate due to a pressure difference between the advancing and retreating blades. These turbines are simpler in design, less expensive to install, non-dependent of wind direction, and more efficient in lower wind speeds. In the present study, six different rotor designs with equal swept areas are analyzed …
Optimization Of Electroencephalograph-Based Classification For Imaginary Motion Brain Computer Interface Study, Sylvia Bhattacharya
Optimization Of Electroencephalograph-Based Classification For Imaginary Motion Brain Computer Interface Study, Sylvia Bhattacharya
Electronic Theses and Dissertations
Using Electroencephalography (EEG) to detect imaginary motions from brain waves, to interface human and computer is a very nascent and challenging field that started developing rapidly in the past few decades. The technique involves some electrodes attached on the scalp of the patient and the signals generated by the brain while the thought process of the patient is captured and recorded in a computer. This technique of human and computer interfacing is termed as Brain Computer Interface (BCI). Disability is a serious problem of our nation and hence BCI is extremely important in case of people who are incapable of …
Design, Analysis And Evaluation Of Unmanned Aerial Vehicle Ad Hoc Network For Emergency Response Communications, Robin D. Grodi
Design, Analysis And Evaluation Of Unmanned Aerial Vehicle Ad Hoc Network For Emergency Response Communications, Robin D. Grodi
Electronic Theses and Dissertations
In any emergency situation, it is paramount that communication be established between those affected by an emergency and the emergency responders. This communication is typically initiated by contacting an emergency service number such as 9-1-1 which will then notify the appropriate responders. The communication link relies heavily on the use of the public telephone network. If an emergency situation causes damage to, or otherwise interrupts, the public telephone network then those affected by the emergency are unable to call for help or warn others. A backup emergency response communication system is required to restore communication in areas where the public …
Design, Analysis, Implementation And Evaluation Of Real-Time Opportunistic Spectrum Access In Cloud-Based Cognitive Radio Networks, Nimish Sharma
Design, Analysis, Implementation And Evaluation Of Real-Time Opportunistic Spectrum Access In Cloud-Based Cognitive Radio Networks, Nimish Sharma
Electronic Theses and Dissertations
Opportunistic spectrum access in cognitive radio network is proposed for remediation of spectrum under-utilization caused by exclusive licensing for service providers that are intermittently utilizing spectrum at any given geolocation and time. The unlicensed secondary users (SUs) rely on opportunistic spectrum access to maximize spectrum utilization by sensing/identifying the idle bands without causing harmful interference to licensed primary users (PUs). In this thesis, Real-time Opportunistic Spectrum Access in Cloud-based Cognitive Radio Networks (ROAR) architecture is presented where cloud computing is used for processing and storage of idle channels. Software-defined radios (SDRs) are used as SUs and PUs that identify, report, …
Heterogeneous Dynamic Spectrum Access In Cognitive Radio Enabled Vehicular Networks Using Network Softwarization, Swetha R. Reddy
Heterogeneous Dynamic Spectrum Access In Cognitive Radio Enabled Vehicular Networks Using Network Softwarization, Swetha R. Reddy
Electronic Theses and Dissertations
Dynamic spectrum access (DSA) in cognitive radio networks (CRNs) is regarded as an emerging technology to solve the spectrum scarcity problem created by static spectrum allocation. In DSA, unlicensed users access idle channels opportunistically, without creating any harmful interference to licensed users. This method will also help to incorporate billions of wireless devices for different applications such as Internet-of-Things, cyber-physical systems, smart grids, etc. Vehicular networks for intelligent transportation cyber-physical systems is emerging concept to improve transportation security and reliability. IEEE 802.11p standard comprising of 7 channels is dedicated for vehicular communications. These channels could be highly congested and may …
Determining Unique Agents By Evaluating Web Form Interaction, Ben Cooley
Determining Unique Agents By Evaluating Web Form Interaction, Ben Cooley
Electronic Theses and Dissertations
Because of the inherent risks in today’s online activities, it becomes imperative to identify a malicious user masquerading as someone else. Incorporating biometric analysis enhances the confidence of authenticating valid users over the Internet while providing additional layers of security with no hindrance to the end user. Through the analysis of traffic patterns and HTTP Header analysis, the detection and early refusal of robot agents plays a great role in reducing fraudulent login attempts.
Discrepancy Analysis Between Close-Range Photogrammetry And Terrestrial Lidar, Sam R. Newsome Jr
Discrepancy Analysis Between Close-Range Photogrammetry And Terrestrial Lidar, Sam R. Newsome Jr
Electronic Theses and Dissertations
This study presents a comparison of building measurements performed on 3D models generated by two different approaches. In one approach, the models were produced via close-range photogrammetry. Such models are based on still-frame photographs that are, post-processed with commercially available photogrammetric software. In the second approach, 3D point-cloud models were generated via laser scanning. For this purpose, three case studies were conducted. The first was a simple one story structure, the second was a multi-story Maya ruin, and the third was an earth filled terrace. Several benchmarks within a closed traverse were established to serve as standard georeference points for …
Aerodynamic And Modal Analyses Of Small Scale Horizontal Axis Wind Turbine With Various Numbers Of Blade Design, Emile Maroha
Aerodynamic And Modal Analyses Of Small Scale Horizontal Axis Wind Turbine With Various Numbers Of Blade Design, Emile Maroha
Electronic Theses and Dissertations
With the global energy demand rising to unprecedented numbers, the need for alternative energy sources is ever prevalent. Wind energy is the most alternative renewable sources today due to its year-round availability and pollution-free nature. Horizontal Axis Wind Turbines (HAWT) are the most popular because of their higher efficiency. The aerodynamic characteristics and vibration of small scale HAWT with various numbers of blade design have been investigated in this numerical study in order to improve its performance. SolidWorks was used for designing CAD models, and ANSYS software was used to study the dynamic flow around the turbine as well as …
An Investigation On A Mobile Robot In A Ros Enabled Cloud Robotics Environment, Theodore C. Smith
An Investigation On A Mobile Robot In A Ros Enabled Cloud Robotics Environment, Theodore C. Smith
Electronic Theses and Dissertations
In modern day robotic applications, the use of cloud computing is being considered as a viable option giving rise to development of cloud robotics environment. Robots are also being developed to operate under an organized framework of robot operating system (ROS) for flexibility and better integration with robots of different types. In this work, an investigation is presented on the development of a mobile robotic platform and its integration in a ROS enabled cloud robotics environment. A mobile robotic platform was built with different sensors including a depth camera, integrated with Arduino and raspberry pi for interfacing the sensors, the …
Novel H.265 Video Traffic Prediction Models Using Artificial Neural Networks, Collin Daly
Novel H.265 Video Traffic Prediction Models Using Artificial Neural Networks, Collin Daly
Honors College Theses
In this work, we propose the use of non-linear, autoregressive neural network models for predicting video frame sizes. This model utilizes H.265 encoded video traces as inputs and the predicted future frame sizes as outputs. This model is developed to predict ultra-high definition video frame encoded with H.265 within IP networks. The video I, P, and B frames are predicted separately to improve model prediction accuracy. This approach is verified in MATLAB using various H.265 video traces. The results indicate that the proposed models were able to predict the video traffic fairly accurately.
Carinata Fame Production Process And Biofuel Oxidation, Benoit Kindo
Carinata Fame Production Process And Biofuel Oxidation, Benoit Kindo
Honors College Theses
In this experiment, the contribution of a standard production method for biofuels on their oxidative stability was investigated. Peroxide values were measured at different steps of the production process of Brassica carinata and peanut-based biofuels. The washing and drying steps in this production method showed significant increases in peroxide values for both biofuels and was identified as a major contributor of biofuel oxidation. Further analyses of the physical and thermal properties showed a more pronounced affect in the biofuel from Bassica carinata, and indicated an unusual composition much higher in saturated fatty acids much longer than those found in peanut. …
Machine Learning Through Mimicry And Association, Nickolas S. Holcomb
Machine Learning Through Mimicry And Association, Nickolas S. Holcomb
Honors College Theses
Adaptability is a key missing features that has impeded the growth of assistive robotics. In the traditional model, all actions must be explicitly coded by a skilled programmer familiar with the hardware. This project explores a method of teaching a webcam equipped arm type robot new primitive movement using visual demonstrations.