Open Access. Powered by Scholars. Published by Universities.®
- Keyword
-
- Fluid percussion injury device (1)
- Fuzzy logic (1)
- Genetic Algorithm-Support Vector Machine (1)
- III-nitride semiconductors (1)
- Identification accuracy (1)
-
- Kalman filtering | Renewable energy sources | Renewable natural resources | Microgrids (Smart power grids) | Algorithms | Electric utilities -- Rates (1)
- Lateral fluid percussion (1)
- Nanowire light-emitting diodes (1)
- Network intrusion detection (1)
- Permanent magnet synchronous motors (PMSM) (1)
- Semiconductors | Photonics | Lasers (1)
- Social media (1)
- Text classification (1)
- Traumatic brain injury (1)
- Unmanned aerial vehicle (UAV) (1)
Articles 1 - 7 of 7
Full-Text Articles in Engineering
Iterative Learning Control For Improved Tracking Of Fluid Percussion Injury Device, Steve Susanibar
Iterative Learning Control For Improved Tracking Of Fluid Percussion Injury Device, Steve Susanibar
Theses
Traumatic brain injury (TBI) afflicts over 10 million people around the world. Injury to the brain can occur from a variety of physical insults and the degree of disability can greatly vary from person to person. It is likely that the wide range of TBI outcomes may be due to the magnitude, direction, and forces of biomechanical insult acting on the head during such TBI events. Lateral Fluid Percussion (FPI) brain injury is one of the most commonly used and well-characterized experimental models of TBI. A Fluid Percussion Injury (FPI) device in the laboratory is used to replicate the injury …
A Fuzzy Logic-Based Text Classification Method For Social Media, Keyuan Wu
A Fuzzy Logic-Based Text Classification Method For Social Media, Keyuan Wu
Theses
Social media offer abundant information for studying people’s behaviors, emotions and opinions during the evolution of various rare events such as natural disasters. It is useful to analyze the correlation between social media and human-affected events. This study uses Hurricane Sandy 2012 related Twitter text data to conduct information extraction and text classification. Considering that the original data contains different topics, we need to find the data related to Hurricane Sandy. A fuzzy logic-based approach is introduced to solve the problem of text classification. Inputs used in the proposed fuzzy logic-based model are multiple useful features extracted from each Twitter’s …
Undersampling Ga-Svm For Network Intrusion Detection, Zhenyu He
Undersampling Ga-Svm For Network Intrusion Detection, Zhenyu He
Theses
Network intrusion detection is one of the hottest issues in the world. An increasing number of researchers and engineers deal with this problem by using machine learning methods. However, how to improve the identification accuracy of all the attack classes remains unsolved since the dataset is an imbalanced one with high imbalance ratio. This thesis work intends to build a classifier to achieve high classification accuracy. It proposes an undersampling Genetic Algorithm-Support Vector Machine (GA-SVM) method to handle this problem. It applies an undersampling method in GA-SVM. To solve the multiclassification problem with a binary classifier, this work proposes to …
Iii-Nitride Nanowire Light-Emitting Diodes: Design And Characterization, Dipayan Datta Choudhary
Iii-Nitride Nanowire Light-Emitting Diodes: Design And Characterization, Dipayan Datta Choudhary
Theses
III-nitride semiconductors have been intensively studied for optoelectronic devices, due to the superb advantages offered by this materials system. The direct energy bandgap III-nitride semiconductors can absorb or emit light efficiently over a broad spectrum, ranging from 0.65 eV (InN) to 6.4 eV (AlN), which encompasses from deep ultraviolet to near infrared spectrum. However, due to the lack of native substrates, conventional III-nitride planar heterostructures generally exhibit very high dislocation densities that severely limit the device performance and reliability. On the other hand, nanowire heterostructures can be grown on lattice mismatched substrates with drastically reduced dislocation densities, due to highly …
Field Oriented Control Of Permanent Magnet Synchronous Motor With Third-Harmonic Injection Pulse Width Modulation To Reduce Quadrotors’ Speed Ripples, Yuxi Shi
Theses
The world’s commercial unmanned aerial vehicle (UAV) industry has witnessed unprecedented boom in recent years. Delighted with an ample supply of this excellent high-tech product, global consumers are paying more attention on UAVs. Civilian UAVs now vastly outnumber military ones, with the estimate of over a million sold by 2016. An UAV has various degrees of autonomy as enabled by the use and precise control of motors. Traditional Direct Current (DC) motors are replaced by permanent magnet synchronous motors (PMSM) associated with the new power electronic inverters. Because of a PMSM’s higher power density than a DC motor, it reduces …
Development Of A Novel Kalman Filter Bank Predictor To Optimally Schedule The Renewable Energy Contribution Within A Micro-Grid, Conor Lynch
Theses
This PhD thesis presents a novel Kalman Filter Bank (KFB) methodology. The novel KFB is applied to predict and optimally schedule the operation of micro-grid energy resources with a public fixed-grid connection and an auxiliary battery storage backup facility. This methodology relies on a sliding single time step forecast projection to accurately acquire the anticipated schedule for a range of time dependent parameters, stochastic by nature, that have inherent embedded cyclical patterns. The innovative feature here consists of a novel bank of hourly adjacent Kalman Filter estimators, which operate in synchronism, for accurate parameter prediction over a selected time horizon. …
Semiconductor Materials And Devices For 2 Micron Generation, Dzianis Saladukha
Semiconductor Materials And Devices For 2 Micron Generation, Dzianis Saladukha
Theses
In the last century, semiconductor research has led to significant changes in the fields of communication, medicine, the environment, and many others. Semiconductor devices provide a relatively simple and effective way to convert electrical energy to light and vice versa. Devices based on semiconductor materials of various kinds provide interaction of an electromagnetic signal in the range of wavelengths with a medium. Examples of such devices are LED lamps, photovoltaic cells, thermometers, gas sensors, cameras, and many others. The study of various semiconductors broadens the range of application of photonics. This work is based on the study of materials which …