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Articles 1 - 7 of 7
Full-Text Articles in Other Computer Sciences
Invasive Buckthorn Mapping: A Uav-Based Approach Utilizing Machine Learning, Gis, And Remote Sensing Techniques In The Upper Peninsula Of Michigan, Vikranth Madeppa
Invasive Buckthorn Mapping: A Uav-Based Approach Utilizing Machine Learning, Gis, And Remote Sensing Techniques In The Upper Peninsula Of Michigan, Vikranth Madeppa
Dissertations, Master's Theses and Master's Reports
An Invasive species is a species that is alien or non-native to the ecosystem which causes harm to economic, environmental, or human health (E.O. 13112 of Feb 3, 1999). Invasive species have posed a serious threat to ecosystems across the globe. These invasive species have impacts on the biodiversity and productivity of invaded forests. Remotely sensed data is a valuable resource for understanding and addressing issues related to invasive species. This study presents a novel approach for mapping the distribution of two invasive plant species, Common and Glossy Buckthorn, using unmanned aerial vehicles (UAVs), machine learning algorithms, geographic information systems …
Exploring High Performance And Energy Efficient Graph Processing On Gpu, Robert P. Watling
Exploring High Performance And Energy Efficient Graph Processing On Gpu, Robert P. Watling
Dissertations, Master's Theses and Master's Reports
Parallel graph processing is central to analytical computer science applications, and GPUs have proven to be an ideal platform for parallel graph processing. Existing GPU graph processing frameworks present performance improvements but often neglect two issues: the unpredictability of a given input graph and the energy consumption of the graph processing. Our prototype software, EEGraph (Energy Efficiency of Graph processing), is a flexible system consisting of several graph processing algorithms with configurable parameters for vertex update synchronization, vertex activation, and memory management along with a lightweight software-based GPU energy measurement scheme. We observe relationships between different configurations of our software, …
The Stained Glass Of Knowledge: On Understanding Novice Mental Models Of Computing, Briana Christina Bettin
The Stained Glass Of Knowledge: On Understanding Novice Mental Models Of Computing, Briana Christina Bettin
Dissertations, Master's Theses and Master's Reports
Learning to program can be a novel experience. The rigidity of programming can be at odds with beginning programmer's existing perceptions, and the concepts can feel entirely unfamiliar. These observations motivated this research, which explores two major questions: What factors influence how novices learn programming? and How can analogy by more appropriately leveraged in programming education?
This dissertation investigates the factors influencing novice programming through multiple methods. The CS1 classroom is observed as a "whole system", with consideration to the factors present in it that can influence the learning process. Learning's cognitive processes are elaborated to ground exploration into specifically …
A Critical Review Of Current Approaches And Practices In Computing Ethics Education, Sophia Farquhar
A Critical Review Of Current Approaches And Practices In Computing Ethics Education, Sophia Farquhar
Dissertations, Master's Theses and Master's Reports
Recent scandals caused by the results of negligent, malicious, or shortsighted software development practices highlight the need for software developers to consider the ethical implications of their work. Computing ethics has historically been a marginalized area within computing disciplines, so educators in these disciplines do not have a common background for teaching the topic. Computing ethics education, although often a required part of coursework, can vary widely in the method of implementation from university to university.
In this report I summarize the insights I gained from interviewing four educators from three different institutions on their pedagogical approaches to computing ethics. …
Data Set Generation Using Deep Learning Algorithms And Visual Feature Tracking, Kusuma Pallapotu
Data Set Generation Using Deep Learning Algorithms And Visual Feature Tracking, Kusuma Pallapotu
Dissertations, Master's Theses and Master's Reports
Object detection and classification plays a major role in today's modern technology. The implementations of these concepts range from consumer products to self driving cars. These concepts largely reply on the data sets used for training these models. There is a considerable amount of effort in generating these data sets for every specific application of these algorithms.
In this report, a method for generating image data sets with the use of visual feature tracking and deep learning algorithms for application in autonomous vehicles has been proposed. The aim is to reduce the time and effort dedicated towards the generation of …
Nonlinear Dielectric Behavior Of Field-Induced Antiferroelectric/Paraelectric-To-Ferroelectric Phase Transition For High Energy Density Capacitor Application, Mingyang Li
Dissertations, Master's Theses and Master's Reports
Electric field-induced antiferroelectric(AFE)/paraelectric(PE)-to-ferroelectric(FE) phase transitions are investigated for the associated nonlinear dielectric behavior, which could offer high dielectric capacity. The phenomenon in monolithic materials has been computed for Kittel antiferroelectric and BaTiO3 model systems using the Landau-Ginzburg-Devonshire theory. The general switching curves give values of the polarization as a function of external electric field. A similar computation is performed for particle-filled polymer-matrix composites where an internal depolarization field is considered. The polarization-electric field response changes with different depolarization factors, which demonstrate the shape and alignment of the dielectric particles embedded in polymer-matrix are key factors for the composite to …
Musical Exercise For People With Visual Impairments, Ridwan Ahmed Khan
Musical Exercise For People With Visual Impairments, Ridwan Ahmed Khan
Dissertations, Master's Theses and Master's Reports
However, it is hard specifically for people with visual impairments to do exercise without proper guidance. They have accessibility issues and thus, without others ’ help, they cannot be sure if they are doing exercise in a consistent form. To address this problem, I have developed a Musical Exercise platform for people with visual impairments . With the help of audio feedback of Musical Exercise, people with visual impairments can perform exercises in a good form consistently. To assess usability of the system and compare different audio profiles of the system, I designed six different con ditions, including blindfolded or …