Open Access. Powered by Scholars. Published by Universities.®

Mechanical Engineering Commons

Open Access. Powered by Scholars. Published by Universities.®

Articles 1 - 4 of 4

Full-Text Articles in Mechanical Engineering

Mechanical Engineering News, Georgia Southern University Aug 2019

Mechanical Engineering News, Georgia Southern University

Mechanical Engineering News (2013-2023)

  • Undergraduate Researcher Awarded at Georgia Environmental Conference


Mechanical Engineering News, Georgia Southern University Aug 2019

Mechanical Engineering News, Georgia Southern University

Mechanical Engineering News (2013-2023)

  • Undergraduate Student Wins Award in Internal Combustion Engine Division Competition


Energy Analysis And Orbit Simulation Of Actuating Cubesat Solar Arrays, Justin T. Ehren Apr 2019

Energy Analysis And Orbit Simulation Of Actuating Cubesat Solar Arrays, Justin T. Ehren

Honors Theses

CubeSats are used in space research to explore new technologies and detect data to gain a better understanding of various areas of research and subjects affecting human life. CubeSats rely on a solar array to generate energy from the sun and perform their various functions in space. This research studies the energy capturing potential of various solar array configurations and positioning devices for CubeSats. The location and orientation of a CubeSat is simulated with MATLAB for both geo-synchronous and sunsynchronous orbits. Two degree-of-freedom (DoF) positioning devices are sufficient to continuously adjust the photovoltaic array to face towards the sun. Lower …


Towards A Pre-Processing Algorithm For Automated Arrhythmia Detection, Sarah Miller Apr 2019

Towards A Pre-Processing Algorithm For Automated Arrhythmia Detection, Sarah Miller

Honors Theses

There are a variety of different wearable fitness/cardiac monitoring devices that are currently used in many people’s day to day life. The primary cardiac function of these devices is to monitor heart rate, however we believe that they could be utilized to detect different forms of arrhythmia. In order to categorize and identify different forms of arrhythmia, we are utilizing published EKG data sets from existing databases as a basis for machine learning. The challenge that comes from the existing data sets is that the format they present the data in does not lend itself to machine learning, which requires …