This Is AuburnElectronic Theses and Dissertations

Browsing by Department "Computer Science and Software Engineering"

Now showing items 61-80 of 217

The Effects of Community Partnerships on K-12 Computer Science Education 

Reed, Aaron (2019-04-17)
Technology is a critical component of the American economy. Analysts have claimed it is imperative that the United States maintain its status as a worldwide leader in technology or its economy, standard of living, and ...

Effects of Delay Variation of IEEE 802.11 on Synchronization in Ad Hoc Networks 

Sitton, Philip (2007-05-15)
The 802.11 MAC protocol, extensively used in wireless networks, handles the problem of collisions over a shared medium in part by avoiding them through the use of a random backoff counter drawn from an exponentially ...

The Effects of Genetic-based and Swarm Intelligence-based Feature Selection on Adversarial Author Identification 

Halladay, Steve (2022-04-25)
Within the realm of author identification, where researchers work to classify writing samples by author, researchers are using more and diverse feature sets to try to improve classification accuracy. From a computational ...

Empirical Evidence of the Consequences of Bad Smells in Software 

Topuz, Fatma Neda (2022-03-08)
A “smell” is a property of software source code that indicates a deeper problem. Smells do not necessarily affect the code at the immediate point in time but are thought to cause problems during a later phase of the ...

Employing Machine Learning Techniques in Conjunction with Linguistic Scoring Mechanism to Formalize the Uncertainty Carried by Scoring Numeric Processes Driven by Probabilistic Methods 

Livio Zavarce, Javier (2020-08-18)
The aim of this research is to integrate the naturalistic mechanisms inherent to domain experts’ heuristics with machine learning capabilities as a useful framework with the capacity to support several domains of the human ...

Employing Supportive Coevolution for the Automated Design and Configuration of Evolutionary Algorithm Operators and Parameters 

Kamrath, Nathaniel (2021-11-17)
Evolutionary Algorithms (EAs) can be highly complex structures requiring many operators and parameters to function. Since EA performance can be highly dependent on these parameters and operators, creating automatic methods ...

Energy Aware Task Scheduling on Heterogeneous Systems 

Farouk Abdel Kader, Rabab (2007-12-15)
We consider the problem of scheduling directed a-cyclic task graphs (DAG) on heterogeneous distributed processor systems with the twin objectives of minimizing finish time and energy consumption. Previous scheduling ...

Energy Modeling and Management of Database System 

Zhou, Yi (2018-04-10)
In this dissertation, we propose a toolkit called EDOM facilitating the evaluation and optimization of energy-efficient multicore-based database systems. Two core components in EDOM are a benchmarking toolkit and a ...

Energy Usage Pro ling and Topology-Based Scheduling for Clusters 

Yangyang, Liu (2017-11-30)
Energy saving is rapidly becoming one of the hottest topics in technology field within recent decades. With the development of technology, it brings a sheer increasing trend of data and the growth scale of clusters and ...

Energy-Efficient Computing and Modeling in Cloud Infrastructures 

Bhattacharya, Tathagata (2022-07-08)  ETD File Embargoed
Energy efficiency and carbon footprint control have grabbed significant attention worldwide. Today, the world has become intensely data intensive. The cloud computing infrastructures and the data centers are providing ...

Energy-Efficient Resource Management for High-performance Computing Platforms 

Zong, Ziliang (2008-08-15)
In the past decade, high-performance computing (HPC) platforms like clusters and computational grids have been widely used to solve challenging and rigorous engineering tasks in industry and scientific applications. Due ...

Energy-Efficient Traffic-Aware Routing in Underwater 

Zhang, Lei (2008-08-15)
Underwater acoustic networks are a special type of wireless sensor networks deployed in a harsh oceanic environment for mission critical tasks. In this unique sensor network, energy efficiency is the most critical problem. ...

Enhancing Aspect-Based Sentiment Analysis: Investigating Aspect Term Extraction and Annotation Schemes 

Taylor, Gabrielle (2023-08-03)  ETD File Embargoed
We live in an age where there is constantly an increasing need for detailed information. From the company that needs to know what their users are feeling and thinking about their product to another crisis like a global ...

Enhancing Host Based Intrusion Detection Systems with Danger Theory of Artificial Immune Systems 

Amer, Suhair (2008-05-15)
Rather than discriminating activity by belonging to self or non-self, danger theory extends its discrimination to be between non-self but harmless and self but harmful. The danger theory states that the system does not ...

Enhancing User Experience through Improving the User Interface of Phonetics Tools and Studies on Phone-level ASR-based Automation through Deep Learning Techniques 

Ren, Chang (2023-08-04)  ETD File Embargoed
The research includes three studies at the intersection of communications disorders and computational linguistics. We begin with the case study of APTgt, a system created to im- prove reinforcement for Phonetics students ...

Equine Gait Analysis, Body Part Tracking using DeepLabCut and Mask R-CNN and Biomechanical Parameter Extraction 

Gupta, Vinika (2021-07-30)
Gait analysis plays a pivotal role in quantitatively defining equine biomechanical parameters for lameness detection and performance evaluation. Currently, equine gait analysis requires attaching markers or IMU sensors to ...

An Evaluation and Comparison of Ad Hoc Routing Algorithms for the Purpose of Autonomous Vehicle Control 

Mata, Joseph (2017-07-26)
The capability to communicating through a decentralized network with no pre-existing structure is invaluable in numerous different scenarios. In order to effectively utilize these networks, an efficient routing algorithm ...

Evolutionary Computation and Machine Learning for Fake News Detection 

Smith, Marcellus (2022-05-06)  ETD File Embargoed
Misinformation or fake news has a history of being weaponized in order to deceive or mislead a target audience. Presently, the ease of generation, dissemination, and effects that are achievable by leveraging fake news makes ...

An experimental investigation of semi-automatic generation of concept maps from textbooks 

Nayak, Vineet (2019-07-18)
A concept map is a useful tool to organize and structure unstructured data, in this case, the information contained in a textbook. In education, a concept map can be used to set learning goals, monitor progress and visualize ...

Exploiting Renewable Energy and UPS Systems with a Renewable-Aware Scheduler to Boost Energy Efficiency of Data Centers 

Peng, Xiaopu (2022-07-20)
It is prudent to leverage on-site renewable sources like solar and wind to build environmentally friendly and energy-efficient data centers. Data centers deploy distributed UPS systems to handle the intermittent nature ...