https://reu.cs.mu.edu/api.php?action=feedcontributions&user=Lnass&feedformat=atomREU@MU - User contributions [en]2020-07-12T16:09:46ZUser contributionsMediaWiki 1.23.13https://reu.cs.mu.edu/index.php/Data_Assimilation_of_High_Dimensional,_Nonlinear_Dynamic_SystemsData Assimilation of High Dimensional, Nonlinear Dynamic Systems2017-12-10T22:24:08Z<p>Lnass: /* Final Presentation and Poster */</p>
<hr />
<div>'''Researcher:''' [[User:lnass|Louis Nass]] <br />
'''Mentor: '''[http://www.marquette.edu/mscs/facstaff-spiller.shtml Dr. Elaine Spiller]<br />
<br />
==General Overview==<br />
[[Data Assimilation For Fluid Dynamic Models]]<br />
<br />
==Project Specifications==<br />
During the spring semester and summer of 2017, Dr. Spiller and myself have been working on the Data Assimilation of the Lorenz '63 system. The Lorenz '63 system is three-dimensional, nonlinear system that has chaotic solutions depending on the initial conditions and values of its parameters. I first worked to solve this system using MatLab. From there I developed a Particle Filter and a Kalman Filter to be used to assimilate the calculated solutions with some 'observations'. From the calculated solutions, I simulated 'noisy observations' simply by adding normalized error to each point of the solution set for some deviation. Thusly, using the filters, I observe the effects, how well the data matches, and track the error as the standard deviation and period for the filters change. <br />
<br />
The next system that will be observed is the Lorenz '96 system which is a higher dimensional, nonlinear system. The Lorenz '96 system is known for modeling the atmospheric behavior of equally spaced locations and is commonly used for the forecasting of weather related dynamics. The goal is to first create a program that solves the system, then to apply the filters and again observe the behavior, yet at the higher dimensions.<br />
<br />
==First Half Timeline==<br />
[[File:Timeline.pdf]]<br />
<br />
==Final Presentation and Poster==<br />
[[File:REU_PresensentationFinal.pdf]]<br />
<br />
[[File:REU_Poster.pdf]]<br />
<br />
==Fall 2017 Continuation==<br />
[[File:REU_progress.pdf]]</div>Lnasshttps://reu.cs.mu.edu/index.php/File:REU_PresensentationFinal.pdfFile:REU PresensentationFinal.pdf2017-12-10T22:23:22Z<p>Lnass: Lnass uploaded a new version of &quot;File:REU PresensentationFinal.pdf&quot;</p>
<hr />
<div></div>Lnasshttps://reu.cs.mu.edu/index.php/File:REU_Poster.pdfFile:REU Poster.pdf2017-12-10T22:15:30Z<p>Lnass: </p>
<hr />
<div></div>Lnasshttps://reu.cs.mu.edu/index.php/File:REU_PresensentationFinal.pdfFile:REU PresensentationFinal.pdf2017-12-10T22:13:39Z<p>Lnass: </p>
<hr />
<div></div>Lnasshttps://reu.cs.mu.edu/index.php/Data_Assimilation_of_High_Dimensional,_Nonlinear_Dynamic_SystemsData Assimilation of High Dimensional, Nonlinear Dynamic Systems2017-12-10T22:11:50Z<p>Lnass: </p>
<hr />
<div>'''Researcher:''' [[User:lnass|Louis Nass]] <br />
'''Mentor: '''[http://www.marquette.edu/mscs/facstaff-spiller.shtml Dr. Elaine Spiller]<br />
<br />
==General Overview==<br />
[[Data Assimilation For Fluid Dynamic Models]]<br />
<br />
==Project Specifications==<br />
During the spring semester and summer of 2017, Dr. Spiller and myself have been working on the Data Assimilation of the Lorenz '63 system. The Lorenz '63 system is three-dimensional, nonlinear system that has chaotic solutions depending on the initial conditions and values of its parameters. I first worked to solve this system using MatLab. From there I developed a Particle Filter and a Kalman Filter to be used to assimilate the calculated solutions with some 'observations'. From the calculated solutions, I simulated 'noisy observations' simply by adding normalized error to each point of the solution set for some deviation. Thusly, using the filters, I observe the effects, how well the data matches, and track the error as the standard deviation and period for the filters change. <br />
<br />
The next system that will be observed is the Lorenz '96 system which is a higher dimensional, nonlinear system. The Lorenz '96 system is known for modeling the atmospheric behavior of equally spaced locations and is commonly used for the forecasting of weather related dynamics. The goal is to first create a program that solves the system, then to apply the filters and again observe the behavior, yet at the higher dimensions.<br />
<br />
==First Half Timeline==<br />
[[File:Timeline.pdf]]<br />
<br />
==Final Presentation and Poster==<br />
[[File:REU_PresensentationFinal]]<br />
<br />
[[File:REU_Poster]]<br />
<br />
==Fall 2017 Continuation==<br />
[[File:REU_progress.pdf]]</div>Lnasshttps://reu.cs.mu.edu/index.php/Data_Assimilation_of_High_Dimensional,_Nonlinear_Dynamic_SystemsData Assimilation of High Dimensional, Nonlinear Dynamic Systems2017-12-10T22:11:22Z<p>Lnass: </p>
<hr />
<div>'''Researcher:''' [[User:lnass|Louis Nass]] <br />
'''Mentor: '''[http://www.marquette.edu/mscs/facstaff-spiller.shtml Dr. Elaine Spiller]<br />
<br />
==General Overview==<br />
[[Data Assimilation For Fluid Dynamic Models]]<br />
<br />
==Project Specifications==<br />
During the spring semester and summer of 2017, Dr. Spiller and myself have been working on the Data Assimilation of the Lorenz '63 system. The Lorenz '63 system is three-dimensional, nonlinear system that has chaotic solutions depending on the initial conditions and values of its parameters. I first worked to solve this system using MatLab. From there I developed a Particle Filter and a Kalman Filter to be used to assimilate the calculated solutions with some 'observations'. From the calculated solutions, I simulated 'noisy observations' simply by adding normalized error to each point of the solution set for some deviation. Thusly, using the filters, I observe the effects, how well the data matches, and track the error as the standard deviation and period for the filters change. <br />
<br />
The next system that will be observed is the Lorenz '96 system which is a higher dimensional, nonlinear system. The Lorenz '96 system is known for modeling the atmospheric behavior of equally spaced locations and is commonly used for the forecasting of weather related dynamics. The goal is to first create a program that solves the system, then to apply the filters and again observe the behavior, yet at the higher dimensions.<br />
<br />
==First Half Timeline==<br />
[[File:Timeline.pdf]]<br />
<br />
==Final Presentation and Poster==<br />
[[File:REU_PresensentationFinal]]<br />
[[File:REU_Poster]]<br />
<br />
==Fall 2017 Continuation==<br />
[[File:REU_progress.pdf]]</div>Lnasshttps://reu.cs.mu.edu/index.php/Data_Assimilation_of_High_Dimensional,_Nonlinear_Dynamic_SystemsData Assimilation of High Dimensional, Nonlinear Dynamic Systems2017-12-10T22:07:48Z<p>Lnass: </p>
<hr />
<div>'''Researcher:''' [[User:lnass|Louis Nass]] <br />
'''Mentor: '''[http://www.marquette.edu/mscs/facstaff-spiller.shtml Dr. Elaine Spiller]<br />
<br />
==General Overview==<br />
[[Data Assimilation For Fluid Dynamic Models]]<br />
<br />
==Project Specifications==<br />
During the spring semester and summer of 2017, Dr. Spiller and myself have been working on the Data Assimilation of the Lorenz '63 system. The Lorenz '63 system is three-dimensional, nonlinear system that has chaotic solutions depending on the initial conditions and values of its parameters. I first worked to solve this system using MatLab. From there I developed a Particle Filter and a Kalman Filter to be used to assimilate the calculated solutions with some 'observations'. From the calculated solutions, I simulated 'noisy observations' simply by adding normalized error to each point of the solution set for some deviation. Thusly, using the filters, I observe the effects, how well the data matches, and track the error as the standard deviation and period for the filters change. <br />
<br />
The next system that will be observed is the Lorenz '96 system which is a higher dimensional, nonlinear system. The Lorenz '96 system is known for modeling the atmospheric behavior of equally spaced locations and is commonly used for the forecasting of weather related dynamics. The goal is to first create a program that solves the system, then to apply the filters and again observe the behavior, yet at the higher dimensions.<br />
<br />
==First Half Timeline==<br />
[[File:Timeline.pdf]]<br />
<br />
<br />
==Fall 2017 Continuation==<br />
[[File:REU_progress.pdf]]</div>Lnasshttps://reu.cs.mu.edu/index.php/File:Week-3.pdfFile:Week-3.pdf2017-06-19T16:34:09Z<p>Lnass: </p>
<hr />
<div></div>Lnasshttps://reu.cs.mu.edu/index.php/User:LnassUser:Lnass2017-06-19T16:33:53Z<p>Lnass: /* Summer 2017 Log */</p>
<hr />
<div>==Personal Information==<br />
My name is Louis Nass, I will be a senior at Marquette University. I am currently a Math Major and working on [[Data Assimilation of High Dimensional, Nonlinear Dynamic Systems]] with [http://www.marquette.edu/mscs/facstaff-spiller.shtml Dr. Elaine Spiller]<br />
<br />
==Summer 2017 Log==<br />
[[File:Week-1.pdf]]<br />
<br />
[[File:Week-2.pdf]]<br />
<br />
[[File:Week-3.pdf]]</div>Lnasshttps://reu.cs.mu.edu/index.php/Data_Assimilation_of_High_Dimensional,_Nonlinear_Dynamic_SystemsData Assimilation of High Dimensional, Nonlinear Dynamic Systems2017-06-12T15:42:33Z<p>Lnass: </p>
<hr />
<div>'''Researcher:''' [[User:lnass|Louis Nass]] <br />
'''Mentor: '''[http://www.marquette.edu/mscs/facstaff-spiller.shtml Dr. Elaine Spiller]<br />
<br />
==General Overview==<br />
[[Data Assimilation For Fluid Dynamic Models]]<br />
<br />
==Project Specifications==<br />
During the spring semester and summer of 2017, Dr. Spiller and myself have been working on the Data Assimilation of the Lorenz '63 system. The Lorenz '63 system is three-dimensional, nonlinear system that has chaotic solutions depending on the initial conditions and values of its parameters. I first worked to solve this system using MatLab. From there I developed a Particle Filter and a Kalman Filter to be used to assimilate the calculated solutions with some 'observations'. From the calculated solutions, I simulated 'noisy observations' simply by adding normalized error to each point of the solution set for some deviation. Thusly, using the filters, I observe the effects, how well the data matches, and track the error as the standard deviation and period for the filters change. <br />
<br />
The next system that will be observed is the Lorenz '96 system which is a higher dimensional, nonlinear system. The Lorenz '96 system is known for modeling the atmospheric behavior of equally spaced locations and is commonly used for the forecasting of weather related dynamics. The goal is to first create a program that solves the system, then to apply the filters and again observe the behavior, yet at the higher dimensions.<br />
<br />
==First Half Timeline==<br />
[[File:Timeline.pdf]]</div>Lnasshttps://reu.cs.mu.edu/index.php/User:LnassUser:Lnass2017-06-11T22:33:52Z<p>Lnass: /* Summer 2017 Log */</p>
<hr />
<div>==Personal Information==<br />
My name is Louis Nass, I will be a senior at Marquette University. I am currently a Math Major and working on [[Data Assimilation of High Dimensional, Nonlinear Dynamic Systems]] with [http://www.marquette.edu/mscs/facstaff-spiller.shtml Dr. Elaine Spiller]<br />
<br />
==Summer 2017 Log==<br />
[[File:Week-1.pdf]]<br />
<br />
[[File:Week-2.pdf]]</div>Lnasshttps://reu.cs.mu.edu/index.php/File:Week-2.pdfFile:Week-2.pdf2017-06-11T22:33:14Z<p>Lnass: </p>
<hr />
<div></div>Lnasshttps://reu.cs.mu.edu/index.php/User:LnassUser:Lnass2017-06-11T22:32:57Z<p>Lnass: /* Summer 2017 Log */</p>
<hr />
<div>==Personal Information==<br />
My name is Louis Nass, I will be a senior at Marquette University. I am currently a Math Major and working on [[Data Assimilation of High Dimensional, Nonlinear Dynamic Systems]] with [http://www.marquette.edu/mscs/facstaff-spiller.shtml Dr. Elaine Spiller]<br />
<br />
==Summer 2017 Log==<br />
[[File:Week-1.pdf]]<br />
[[File:Week-2.pdf]]</div>Lnasshttps://reu.cs.mu.edu/index.php/User:LnassUser:Lnass2017-06-08T15:17:13Z<p>Lnass: </p>
<hr />
<div>==Personal Information==<br />
My name is Louis Nass, I will be a senior at Marquette University. I am currently a Math Major and working on [[Data Assimilation of High Dimensional, Nonlinear Dynamic Systems]] with [http://www.marquette.edu/mscs/facstaff-spiller.shtml Dr. Elaine Spiller]<br />
<br />
==Summer 2017 Log==<br />
[[File:Week-1.pdf]]</div>Lnasshttps://reu.cs.mu.edu/index.php/Data_Assimilation_of_High_Dimensional,_Nonlinear_Dynamic_SystemsData Assimilation of High Dimensional, Nonlinear Dynamic Systems2017-06-08T15:15:47Z<p>Lnass: </p>
<hr />
<div>'''Researcher:''' [[User:lnass|Louis Nass]] <br />
'''Mentor: '''[http://www.marquette.edu/mscs/facstaff-spiller.shtml Dr. Elaine Spiller]<br />
<br />
==General Overview==<br />
[[Data Assimilation For Fluid Dynamic Models]]<br />
<br />
==Project Specifications==<br />
During the spring semester and summer of 2017, Dr. Spiller and myself have been working on the Data Assimilation of the Lorenz '63 system. The Lorenz '63 system is three-dimensional, nonlinear system that has chaotic solutions depending on the initial conditions and values of its parameters. I first worked to solve this system using MatLab. From there I developed a Particle Filter and a Kalman Filter to be used to assimilate the calculated solutions with some 'observations'. From the calculated solutions, I simulated 'noisy observations' simply by adding normalized error to each point of the solution set for some deviation. Thusly, using the filters, I observe the effects, how well the data matches, and track the error as the standard deviation and period for the filters change. <br />
<br />
The next system that will be observed is the Lorenz '96 system which is a higher dimensional, nonlinear system The Lorenz '96 system is known for modeling the atmospheric behavior of equally spaced locations and is commonly used for the forecasting of weather related dynamics. The goal is to first create a program that solves the system, then to apply the filters and again observe the behavior, yet at the higher dimensions.<br />
<br />
==First Half Timeline==<br />
[[File:Timeline.pdf]]</div>Lnasshttps://reu.cs.mu.edu/index.php/Data_Assimilation_of_High_Dimensional,_Nonlinear_Dynamic_SystemsData Assimilation of High Dimensional, Nonlinear Dynamic Systems2017-06-07T20:08:36Z<p>Lnass: </p>
<hr />
<div>'''Researcher:''' [[User:lnass|Louis Nass]] <br />
'''Mentor: '''[http://www.marquette.edu/mscs/facstaff-spiller.shtml Dr. Elaine Spiller]<br />
<br />
==General Overview==<br />
[[Data Assimilation For Fluid Dynamic Models]]<br />
<br />
==Project Specifications==<br />
During the spring semester and summer of 2017, Dr. Spiller and myself have been working on the Data Assimilation of the Lorenz '63 system. The Lorenz '63 system is three-dimensional, nonlinear system that has chaotic solutions depending on the initial conditions and values of its parameters. I first worked to solve this system, using MatLab. From there I developed a Particle Filter and a Kalman Filter to be used to assimilate the calculated solutions with some 'observations'. From the calculated solutions, I created 'noisy observations' by simply adding normalized error to each point of the solution set for some deviation. Thusly, using the filters, I observe the effects, how well the data matches, and track the error as the standard deviation and period for the filters change. <br />
<br />
The next system that will be observed is the Lorenz '96 system which is a higher dimensional, nonlinear system The Lorenz '96 system is known for modeling the atmospheric behavior of equally spaced locations and is commonly used for the forecasting of weather related dynamics. The goal is to first create a program that solves the system, then to apply the filters and again observe the behavior, yet at the higher dimensions.<br />
<br />
==First Half Timeline==<br />
[[File:Timeline.pdf]]</div>Lnasshttps://reu.cs.mu.edu/index.php/File:Timeline.pdfFile:Timeline.pdf2017-06-07T20:07:33Z<p>Lnass: </p>
<hr />
<div></div>Lnasshttps://reu.cs.mu.edu/index.php/Data_Assimilation_of_High_Dimensional,_Nonlinear_Dynamic_SystemsData Assimilation of High Dimensional, Nonlinear Dynamic Systems2017-06-07T20:06:56Z<p>Lnass: </p>
<hr />
<div>'''Researcher:''' [[User:lnass|Louis Nass]] <br />
'''Mentor: '''[http://www.marquette.edu/mscs/facstaff-spiller.shtml Dr. Elaine Spiller]<br />
<br />
==General Overview==<br />
[[Data Assimilation For Fluid Dynamic Models]]<br />
<br />
==Project Specifications==<br />
During the spring semester and summer of 2017, Dr. Spiller and myself have been working on the Data Assimilation of the Lorenz '63 system. The Lorenz '63 system is three-dimensional, nonlinear system that has chaotic solutions depending on the initial conditions and values of its parameters. I first worked to solve this system, using MatLab. From there I developed a Particle Filter and a Kalman Filter to be used to assimilate the calculated solutions with some 'observations'. From the calculated solutions, I created 'noisy observations' by simply adding normalized error to each point of the solution set for some deviation. Thusly, using the filters, I observe the effects, how well the data matches, and track the error as the standard deviation and period for the filters change. <br />
<br />
The next system that will be observed is the Lorenz '96 system which is a higher dimensional, nonlinear system The Lorenz '96 system is known for modeling the atmospheric behavior of equally spaced locations and is commonly used for the forecasting of weather related dynamics. The goal is to first create a program that solves the system, then to apply the filters and again observe the behavior, yet at the higher dimensions.<br />
<br />
==First Half Timeline==<br />
[[File:Timeline]]</div>Lnasshttps://reu.cs.mu.edu/index.php/Data_Assimilation_of_High_Dimensional,_Nonlinear_Dynamic_SystemsData Assimilation of High Dimensional, Nonlinear Dynamic Systems2017-06-07T20:01:16Z<p>Lnass: </p>
<hr />
<div>'''Researcher:''' [[User:lnass|Louis Nass]] <br />
'''Mentor: '''[http://www.marquette.edu/mscs/facstaff-spiller.shtml Dr. Elaine Spiller]<br />
<br />
==General Overview==<br />
[[Data Assimilation For Fluid Dynamic Models]]<br />
<br />
==Project Specifications==<br />
During the spring semester and summer of 2017, Dr. Spiller and myself have been working on the Data Assimilation of the Lorenz '63 system. The Lorenz '63 system is three-dimensional, nonlinear system that has chaotic solutions depending on the initial conditions and values of its parameters. I first worked to solve this system, using MatLab. From there I developed a Particle Filter and a Kalman Filter to be used to assimilate the calculated solutions with some 'observations'. From the calculated solutions, I created 'noisy observations' by simply adding normalized error to each point of the solution set for some deviation. Thusly, using the filters, I observe the effects, how well the data matches, and track the error as the standard deviation and period for the filters change. <br />
<br />
The next system that will be observed is the Lorenz '96 system which is a higher dimensional, nonlinear system The Lorenz '96 system is known for modeling the atmospheric behavior of equally spaced locations and is commonly used for the forecasting of weather related dynamics. The goal is to first create a program that solves the system, then to apply the filters and again observe the behavior, yet at the higher dimensions.</div>Lnasshttps://reu.cs.mu.edu/index.php/Data_Assimilation_of_High_Dimensional,_Nonlinear_Dynamic_SystemsData Assimilation of High Dimensional, Nonlinear Dynamic Systems2017-06-07T19:47:41Z<p>Lnass: /* Project Specifications */</p>
<hr />
<div>'''Researcher:''' [[User:lnass|Louis Nass]] <br />
'''Mentor: '''[http://www.marquette.edu/mscs/facstaff-spiller.shtml Dr. Elaine Spiller]<br />
<br />
==General Overview==<br />
[[Data Assimilation For Fluid Dynamic Models]]<br />
<br />
==Project Specifications==<br />
During the spring semester of 2017, Dr. Spiller and myself have been working on the Data Assimilation of the Lorenz '63 system. The Lorenz '63 system is three-dimensional, nonlinear system that has chaotic solutions depending on the initial conditions and values of its parameters. I first worked to solve this system, using MatLab. From there I developed a Particle Filter and a Kalman Filter to see , from the calculated solutions, created 'noisy observations' by simply adding</div>Lnasshttps://reu.cs.mu.edu/index.php/Data_Assimilation_of_High_Dimensional,_Nonlinear_Dynamic_SystemsData Assimilation of High Dimensional, Nonlinear Dynamic Systems2017-06-07T19:39:29Z<p>Lnass: </p>
<hr />
<div>'''Researcher:''' [[User:lnass|Louis Nass]] <br />
'''Mentor: '''[http://www.marquette.edu/mscs/facstaff-spiller.shtml Dr. Elaine Spiller]<br />
<br />
==General Overview==<br />
[[Data Assimilation For Fluid Dynamic Models]]<br />
<br />
==Project Specifications==</div>Lnasshttps://reu.cs.mu.edu/index.php/User:LnassUser:Lnass2017-06-07T19:38:32Z<p>Lnass: </p>
<hr />
<div>==Personal Information==<br />
My name is Louis Nass, I will be a senior at Marquette University. I am currently a Math Major and working on Data Assimilation using Particle and Kalman Filters with [http://www.marquette.edu/mscs/facstaff-spiller.shtml Dr. Elaine Spiller]<br />
<br />
==Summer 2017 Log==<br />
[[File:Week-1.pdf]]</div>Lnasshttps://reu.cs.mu.edu/index.php/User:LnassUser:Lnass2017-06-07T19:38:10Z<p>Lnass: </p>
<hr />
<div>==Personal Information==<br />
My name is Louis Nass, I will be a senior at Marquette University. I am currently a Math Major and working on Data Assimilation using Particle and Kalman Filters with [http://www.marquette.edu/mscs/facstaff-factor.shtml Dr. Elaine Spiller]<br />
<br />
==Summer 2017 Log==<br />
[[File:Week-1.pdf]]</div>Lnasshttps://reu.cs.mu.edu/index.php/User:LnassUser:Lnass2017-06-07T19:37:58Z<p>Lnass: /* Personal Information */</p>
<hr />
<div>==Personal Information==<br />
My name is Louis Nass, I will be a senior at Marquette University. I am currently a Math Major and working on Data Assimilation using Particle and Kalman Filters with [[http://www.marquette.edu/mscs/facstaff-factor.shtml Dr. Elaine Spiller]<br />
<br />
==Summer 2017 Log==<br />
[[File:Week-1.pdf]]</div>Lnasshttps://reu.cs.mu.edu/index.php/Data_Assimilation_of_High_Dimensional,_Nonlinear_Dynamic_SystemsData Assimilation of High Dimensional, Nonlinear Dynamic Systems2017-06-07T19:36:54Z<p>Lnass: Created page with "'''Researcher:''' Louis Nass '''Mentor: '''[http://www.marquette.edu/mscs/facstaff-spiller.shtml/ Dr. Elaine Spiller] ==General Overview== Data Assimilatio..."</p>
<hr />
<div>'''Researcher:''' [[User:lnass|Louis Nass]] <br />
'''Mentor: '''[http://www.marquette.edu/mscs/facstaff-spiller.shtml/ Dr. Elaine Spiller]<br />
<br />
==General Overview==<br />
[[Data Assimilation For Fluid Dynamic Models]]<br />
<br />
==Project Specifications==</div>Lnasshttps://reu.cs.mu.edu/index.php/Summer_2017_ProjectsSummer 2017 Projects2017-06-07T19:36:21Z<p>Lnass: </p>
<hr />
<div>Current projects:<br />
<br />
* [[Cyber Security of Social Robots and the Internet of Things]]<br />
* [[Upgrading Embedded Xinu for the Multi-Core Raspberry Pi 3]]<br />
* [[LSTMs for Energy Forecasting]]<br />
* [[Generating probabilistic models for forecasting using DNN]]<br />
* [[Stock Prediction using Social Media Analysis]]<br />
* [[Analyzing the Ethical Consequences of Popular Clustering Algorithms]]<br />
* [[Advancing via MUzECS Platform]]<br />
* [[(i,j)-step competition graphs]]<br />
* [[Discovering Significant Pathways of Gene Regulation]]<br />
* [[Data Assimilation of High Dimensional, Nonlinear Dynamic Systems]]</div>Lnasshttps://reu.cs.mu.edu/index.php/User:LnassUser:Lnass2017-06-07T19:35:45Z<p>Lnass: </p>
<hr />
<div>==Personal Information==<br />
My name is Louis Nass, I will be a senior at Marquette University. I am currently a Math Major and working on Data Assimilation using Particle and Kalman Filters with Dr. Elaine Spiller<br />
<br />
==Summer 2017 Log==<br />
[[File:Week-1.pdf]]</div>Lnasshttps://reu.cs.mu.edu/index.php/Data_Assimilation_of_High_Dimensional,_Nonlinear_Dynamical_SystemsData Assimilation of High Dimensional, Nonlinear Dynamical Systems2017-06-07T19:35:18Z<p>Lnass: </p>
<hr />
<div>'''Researcher:''' [[User:lnass|Louis Nass]] <br />
'''Mentor: '''[http://www.marquette.edu/mscs/facstaff-spiller.shtml/ Dr. Elaine Spiller]<br />
<br />
==General Overview==<br />
[[Data Assimilation For Fluid Dynamic Models]]<br />
<br />
==Project Specifications==</div>Lnasshttps://reu.cs.mu.edu/index.php/Data_Assimilation_of_High_Dimensional,_Nonlinear_Dynamical_SystemsData Assimilation of High Dimensional, Nonlinear Dynamical Systems2017-06-07T19:34:43Z<p>Lnass: </p>
<hr />
<div>'''Researcher:''' [[User:lnass|Louis Nass]] '''Mentor: '''[http://www.marquette.edu/mscs/facstaff-spiller.shtml/ Dr. Elaine Spiller]<br />
<br />
==General Overview==<br />
[[Data Assimilation For Fluid Dynamic Models]]</div>Lnasshttps://reu.cs.mu.edu/index.php/Data_Assimilation_of_High_Dimensional,_Nonlinear_Dynamical_SystemsData Assimilation of High Dimensional, Nonlinear Dynamical Systems2017-06-07T19:34:26Z<p>Lnass: </p>
<hr />
<div>'''Researcher:''' [[User:lnass|Louis Nass]] '''Mentor: '''[http://www.marquette.edu/mscs/facstaff-spiller.shtml/ Dr. Elaine Spiller]<br />
<br />
<br />
==General Overview==<br />
[[Data Assimilation For Fluid Dynamic Models]]</div>Lnasshttps://reu.cs.mu.edu/index.php/Data_Assimilation_of_High_Dimensional,_Nonlinear_Dynamical_SystemsData Assimilation of High Dimensional, Nonlinear Dynamical Systems2017-06-07T19:34:12Z<p>Lnass: </p>
<hr />
<div>'''Researcher:''' [[User:lnass|Louis Nass]] '''Mentor: '''[http://www.marquette.edu/mscs/facstaff-spiller.shtml/ Dr. Elaine Spiller]<br />
<br />
----<br />
==General Overview==<br />
[[Data Assimilation For Fluid Dynamic Models]]</div>Lnasshttps://reu.cs.mu.edu/index.php/Data_Assimilation_of_High_Dimensional,_Nonlinear_Dynamical_SystemsData Assimilation of High Dimensional, Nonlinear Dynamical Systems2017-06-07T19:33:43Z<p>Lnass: </p>
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<div>'''Researcher:''' [[User:lnass|Louis Nass]] '''Mentor: '''[http://www.marquette.edu/mscs/facstaff-spiller.shtml/ Dr. Elaine Spiller]<br />
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General Overview<br />
[[Data Assimilation For Fluid Dynamic Models]]</div>Lnasshttps://reu.cs.mu.edu/index.php/Data_Assimilation_of_High_Dimensional,_Nonlinear_Dynamical_SystemsData Assimilation of High Dimensional, Nonlinear Dynamical Systems2017-06-07T19:30:29Z<p>Lnass: </p>
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<div>'''Researcher:''' [[User:lnass|Louis Nass]] '''Mentor: '''[http://www.marquette.edu/mscs/facstaff-spiller.shtml/ Dr. Elaine Spiller]<br />
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----</div>Lnasshttps://reu.cs.mu.edu/index.php/Data_Assimilation_of_High_Dimensional,_Nonlinear_Dynamical_SystemsData Assimilation of High Dimensional, Nonlinear Dynamical Systems2017-06-07T19:24:46Z<p>Lnass: Created page with "Here is the project"</p>
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<div>Here is the project</div>Lnasshttps://reu.cs.mu.edu/index.php/Summer_2017_ProjectsSummer 2017 Projects2017-06-07T19:24:28Z<p>Lnass: </p>
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<div>Current projects:<br />
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* [[Cyber Security of Social Robots and the Internet of Things]]<br />
* [[Upgrading Embedded Xinu for the Multi-Core Raspberry Pi 3]]<br />
* [[LSTMs for Energy Forecasting]]<br />
* [[Generating probabilistic models for forecasting using DNN]]<br />
* [[Stock Prediction using Social Media Analysis]]<br />
* [[Analyzing the Ethical Consequences of Popular Clustering Algorithms]]<br />
* [[Advancing via MUzECS Platform]]<br />
* [[(i,j)-step competition graphs]]<br />
* [[Discovering Significant Pathways of Gene Regulation]]<br />
* [[Data Assimilation of High Dimensional, Nonlinear Dynamical Systems]]</div>Lnasshttps://reu.cs.mu.edu/index.php/Data_Assimilation_of_the_High_Dimensional,_Nonlinear_Dynamic_SystemsData Assimilation of the High Dimensional, Nonlinear Dynamic Systems2017-06-07T19:23:43Z<p>Lnass: Created page with "Here is my project"</p>
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<div>Here is my project</div>Lnasshttps://reu.cs.mu.edu/index.php/User:LnassUser:Lnass2017-06-04T19:28:37Z<p>Lnass: /* Summer 2017 Log */</p>
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<div>==Personal Information==<br />
My name is Louis Nass, I will be a senior at Marquette University. I am currently a Math Major and working on Data Assimilation using Particle and Kalman Filters with Dr. Elaine Spiller<br />
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==Summer 2017 Log==<br />
[[File:Week-1.pdf]]</div>Lnasshttps://reu.cs.mu.edu/index.php/File:Week-1.pdfFile:Week-1.pdf2017-06-04T19:27:16Z<p>Lnass: Lnass uploaded a new version of &quot;File:Week-1.pdf&quot;</p>
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<div></div>Lnasshttps://reu.cs.mu.edu/index.php/User:LnassUser:Lnass2017-06-04T19:22:30Z<p>Lnass: /* Summer 2017 Log */</p>
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<div>==Personal Information==<br />
My name is Louis Nass, I will be a senior at Marquette University. I am currently a Math Major and working on Data Assimilation using Particle and Kalman Filters with Dr. Elaine Spiller<br />
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==Summer 2017 Log==<br />
[[File-week-1.pdf]]</div>Lnasshttps://reu.cs.mu.edu/index.php/File:Week-1.pdfFile:Week-1.pdf2017-06-04T19:21:45Z<p>Lnass: </p>
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<div></div>Lnasshttps://reu.cs.mu.edu/index.php/User:LnassUser:Lnass2017-05-31T19:17:09Z<p>Lnass: </p>
<hr />
<div>==Personal Information==<br />
My name is Louis Nass, I will be a senior at Marquette University. I am currently a Math Major and working on Data Assimilation using Particle and Kalman Filters with Dr. Elaine Spiller<br />
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==Summer 2017 Log==</div>Lnasshttps://reu.cs.mu.edu/index.php/User:LnassUser:Lnass2017-05-31T17:37:16Z<p>Lnass: </p>
<hr />
<div>==Personal Information==<br />
My name is Louis Nass, I will be a senior at Marquette University. Currently a Math Major and working on Data Assimilation using Particle and Kalman Filters with Dr. Elaine Spiller<br />
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==Summer 2017 Log==</div>Lnasshttps://reu.cs.mu.edu/index.php/User:LnassUser:Lnass2017-05-31T17:35:41Z<p>Lnass: /*Personal Information*/</p>
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<div>==Personal Information==<br />
My name is Louis Nass, I will be a senior at Marquette University. Currently a Math Major and working on Data Assimilation using Particle and Kalman Filters with Dr. Elaine Spiller</div>Lnasshttps://reu.cs.mu.edu/index.php/User:LnassUser:Lnass2017-05-30T18:43:14Z<p>Lnass: /*Louis Nass*/</p>
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<div>'''Louis Nass Summer 2016 Log'''<br />
My name is Louis Nass, I will be a senior at Marquette University.</div>Lnass