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Full-Text Articles in Engineering
Exploring The Behavior Repertoire Of A Wireless Vibrationally Actuated Tensegrity Robot, Zongliang Ji
Exploring The Behavior Repertoire Of A Wireless Vibrationally Actuated Tensegrity Robot, Zongliang Ji
Honors Theses
Soft robotics is an emerging field of research due to its potential to explore and operate in unstructured, rugged, and dynamic environments. However, the properties that make soft robots compelling also make them difficult to robustly control. Here at Union, we developed the world’s first wireless soft tensegrity robot. The goal of my thesis is to explore effective and efficient methods to explore the diverse behavior our tensegrity robot. We will achieve that by applying state-of-art machine learning technique and a novelty search algorithm.
Design Of A Model Rocket Flight Logging System And In-Air Deployable Rover, Sirus Negahban
Design Of A Model Rocket Flight Logging System And In-Air Deployable Rover, Sirus Negahban
Honors Theses
The goal of the project laid out in this paper is to develop a model rocket range and altitude tracking system and a payload for said rocket which conducts an experiment of some scientific merit. The requirements for the project are defined by the rules of an international model rocket design and build competition for undergraduate and graduate students. This paper presents a design to accomplish the specified goals to the standards of the competition rule set, for use by the Union College Rocket Team at the competition. First, an off-the-shelf flight computer is purchased to implement the range and …
A Strategic Audit Of Microsoft Azure, Lee Fitchett
A Strategic Audit Of Microsoft Azure, Lee Fitchett
Honors Theses
This paper looks at Microsoft Azure's current strategies and proposes possible options for the future. It looks at several competitors and explores how Azure will affect and react to Microsoft’s vision.
Car Image Classification Using Deep Neural Networks, Mingchen Li
Car Image Classification Using Deep Neural Networks, Mingchen Li
Honors Theses
Image classification is widely used in many fields of study. Deep neural networks are proven to be effective classifier structure due to its massive parameters and training capability. This paper outlines the development of Deep Neural Network in recent years and applied them on a Car image data set in order to compare their performances.