Open Access. Powered by Scholars. Published by Universities.®
- Discipline
-
- Applied Statistics (3)
- Engineering (3)
- Computer Sciences (2)
- Applied Mathematics (1)
- Artificial Intelligence and Robotics (1)
-
- Atmospheric Sciences (1)
- Chemistry (1)
- Civil Engineering (1)
- Civil and Environmental Engineering (1)
- Economics (1)
- Engineering Physics (1)
- Environmental Monitoring (1)
- Environmental Sciences (1)
- Finance (1)
- Materials Chemistry (1)
- Materials Science and Engineering (1)
- Mathematics (1)
- Multivariate Analysis (1)
- Nanoscience and Nanotechnology (1)
- Numerical Analysis and Scientific Computing (1)
- Oceanography (1)
- Oceanography and Atmospheric Sciences and Meteorology (1)
- Other Applied Mathematics (1)
- Other Mathematics (1)
- Partial Differential Equations (1)
- Physics (1)
- Polymer Chemistry (1)
- Polymer and Organic Materials (1)
- Keyword
-
- Antarctica (1)
- Arbitrage (1)
- Artificial neural networks (1)
- Central California Coast (1)
- Ceramic (1)
-
- Electrospinning (1)
- Emulsion polymers (1)
- Finance (1)
- Genetic algorithms (1)
- Machine learning (1)
- Martingale (1)
- Measure theory (1)
- Nanofiber (1)
- Offshore Wind (1)
- Power (1)
- Precipitation (1)
- Probability (1)
- Renewable (1)
- Rplidar (1)
- Sintering (1)
- Snowfall (1)
- Statistics (1)
- Stochastic calulus (1)
- Sublimation (1)
- Time series (1)
- Two-Step (1)
- Variability (1)
- Publication
- Publication Type
Articles 1 - 6 of 6
Full-Text Articles in Statistics and Probability
Rplidar A2 Accuracy, Ramiro O. Garcia
Rplidar A2 Accuracy, Ramiro O. Garcia
STAR Program Research Presentations
Traffic is not only a source of frustration but also a leading cause of death for people under 35 years of age. Recent research has focused on how driver assistance technology can be used to mitigate traffic fatalities and create more enjoyable commutes. In addition, self-driving vehicles can reduce fuel consumption the amount by 5% and increases the number of cars on the highway. To achieve this we need to research reliable sensors. This summer I research Rplidar A2 sensor which hopefully will be responsible for recording distance to the preceding car and helping prevent Insider Attacks or Misbehaviors of …
A First Look At Sublimation Rates In Toss Island Region, Antarctica, Rebecca Baiman, Scott Landolt
A First Look At Sublimation Rates In Toss Island Region, Antarctica, Rebecca Baiman, Scott Landolt
STAR Program Research Presentations
70% of Earth’s fresh water is held in Antarctica ice sheet. If the sheet melts, it has the potential to raise global sea levels by 190 feet (Klekociuk and Wiennecke, 2016). As the climate changes, it is imperative that to understand precipitation systems of Antarctica in order to measure and predict weather around the world. One aspect of precipitation events that we do not understand fully in Antarctica is sublimation. Data was collected from four Ott Pluvio Precipitation Gauges with Belfort Double Alter Shields placed in and around the Ross Ice Shelf from November of 2017 to present. An R …
Optimizing Electrospun Ceramic Nanofiber Strength Through Two-Step Sintering, Michael Ross
Optimizing Electrospun Ceramic Nanofiber Strength Through Two-Step Sintering, Michael Ross
Materials Engineering
Two-step sintering (TSS) consists of a high-temperature step and immediate cooling to a sintering temperature for an extended sintering time, where grain growth is suppressed by severe densification during the high-temperature step. TSS is adopted to enhance mechanical properties of electrospun ceramic nanofibers (CNFs), a class of porous ceramics used for environmental remediation, optoelectronics, and filtration. PVP and Ga(NO3)3 nanofiber mesh, provided by Lawrence Livermore National Laboratory, was shaped, oxidized, and two-step sintered to form a nanocrystalline β-Ga2O3 CNF tube using a high-temperature step of 1,000oC. Sintering temperatures and times varied from …
The Martingale Approach To Financial Mathematics, Jordan M. Rowley
The Martingale Approach To Financial Mathematics, Jordan M. Rowley
Master's Theses
In this thesis, we will develop the fundamental properties of financial mathematics, with a focus on establishing meaningful connections between martingale theory, stochastic calculus, and measure-theoretic probability. We first consider a simple binomial model in discrete time, and assume the impossibility of earning a riskless profit, known as arbitrage. Under this no-arbitrage assumption alone, we stumble upon a strange new probability measure Q, according to which every risky asset is expected to grow as though it were a bond. As it turns out, this measure Q also gives the arbitrage-free pricing formula for every asset on our market. In …
Implementation Of Multivariate Artificial Neural Networks Coupled With Genetic Algorithms For The Multi-Objective Property Prediction And Optimization Of Emulsion Polymers, David Chisholm
Master's Theses
Machine learning has been gaining popularity over the past few decades as computers have become more advanced. On a fundamental level, machine learning consists of the use of computerized statistical methods to analyze data and discover trends that may not have been obvious or otherwise observable previously. These trends can then be used to make predictions on new data and explore entirely new design spaces. Methods vary from simple linear regression to highly complex neural networks, but the end goal is similar. The application of these methods to material property prediction and new material discovery has been of high interest …
Daily And Seasonal Variability Of Offshore Wind Power On The Central California Coast And Statewide Demand, Matthew Douglas Kehrli
Daily And Seasonal Variability Of Offshore Wind Power On The Central California Coast And Statewide Demand, Matthew Douglas Kehrli
Physics
No abstract provided.