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Full-Text Articles in Engineering
Alzheimer’S Disease Detection Using Convolutional Neural Netowork & Wavelets, Ean Hendrickson, Gabriel Amancio, Chloe Eusbio, Kaioli Bessert
Alzheimer’S Disease Detection Using Convolutional Neural Netowork & Wavelets, Ean Hendrickson, Gabriel Amancio, Chloe Eusbio, Kaioli Bessert
Electrical Engineering
It is estimated that 5.7 million people in the United States have Alzheimer’s dementia, including about 1 in 10 people above the age of 65. Alzheimer’s disease detection can help doctors to diagnose patients earlier and help them with preventative, proactive treatment. In this project, we attempt to use two different methods to analyze MRI brain images for Alzheimer’s disease detection, one with convolutional neural network and deep learning algorithm, and the other one with discrete wavelet transform. Computer simulation results are presented in the report.
Rocket Cam: Low Frequency Analog Transmission Of Digital Video, Thomas J. Higdon
Rocket Cam: Low Frequency Analog Transmission Of Digital Video, Thomas J. Higdon
Electrical Engineering
The camera module provides data for improving models of dynamic events on Orbital ATK Corp. rockets and aids in troubleshooting, if necessary. Video images provide a valuable addition to the strain, vibration, shock, and acoustic data used for modeling dynamic events, such as stage separations. The cameras can record a duration of video data suitable for capturing a dynamic event and of high enough quality to aid in its modeling. The module readily integrates into the rocket’s current analog data collection systems. The project has further relevance to any other application that necessitates video data transmission over similar limited-bandwidth, analog …
Simulation Of Cal Poly Super System Simulink Model Using Insolation Variation, Jacob Kory
Simulation Of Cal Poly Super System Simulink Model Using Insolation Variation, Jacob Kory
Electrical Engineering
This senior project focuses on simulation of the Cal Poly SuPER system using an insolation model. First, local and historical weather data is examined to determine the range of limits that the model will utilize. Then, the insolation model is constructed to fit into the existing SuPER model. The overall system is tested under a variety of insolation values to determine system performance of motor and static loads. Based on these simulations, several factors of the current model are discovered that limit the power consumption profile under off-peak load conditions. Finally, recommendations on improvements to the model are discussed