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Engineering Commons

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

Electrical and Computer Engineering

North Carolina Agricultural and Technical State University

Theses

Theses/Dissertations

2019

Articles 1 - 3 of 3

Full-Text Articles in Engineering

Design Of Dual-Band Rf-Dc Rectifier And Dc-Dc Boost Converter For Energy Harvesting Applications, Merghani K. Merghani Jan 2019

Design Of Dual-Band Rf-Dc Rectifier And Dc-Dc Boost Converter For Energy Harvesting Applications, Merghani K. Merghani

Theses

Wireless sensors are used in many industrial and commercial applications. However powering up those sensors is challenging, because batteries have limited lifetime, require periodic maintenance, and their depositions are toxic to the environment. One of the new methods to power up those small sensors is to capture energy from ambient sources and convert it into a steady dc output voltage, which is known as energy harvesting or scavenging. In this thesis, we propose an energy harvesting method by scavenging the electromagnetic (EM), or radio frequency (RF) energy in the ambient and converting it into a steady dc output voltage that …


Reinforcement Learning Reward Design For Low-Level Controllers, Evan J. Olney Jan 2019

Reinforcement Learning Reward Design For Low-Level Controllers, Evan J. Olney

Theses

The past few decades have produced many successful applications of machine learning. In the area of automated controls, machine learning controllers have been developed to take advantage of the tendency for computers to stumble upon avenues to solutions people either overlooked, or simply do not have the computational capability to explore. Reinforcement learning is a machine learning technique for learning how to choose actions in an environment to increase its expected reward. The reward is the signal that indicates whether or not proper actions were chosen, therefore a behavioral goal is achieved from implicit rewards rather than explicit direction. The …


Comparison Study Of Supervised Machine Learning Algorithms For Real Time Prediction Of Uav Behaviors, Brian Baity Jan 2019

Comparison Study Of Supervised Machine Learning Algorithms For Real Time Prediction Of Uav Behaviors, Brian Baity

Theses

An American scientific writer/critic of the mid-20th century, Joseph Wood Krutch, stated, “Technology made large populations possible: large populations now make technology indispensable.” Unmanned aerial vehicles (UAVs) have become a vital part of society, evolving from solely military use to commercial and even personal day-to-day use. UAV application has grown for mobility on demand, increasing the number of UAVs in the sky. Consequently, more UAVs increases the possibility of aerial collisions, challenging the safety of passengers flying and bystanders on the ground. Understanding the behavior of UAVs and unmanned aerial systems (UAS) in general, therefore, will decrease the possibility of …