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Physical Sciences and Mathematics Commons™
Open Access. Powered by Scholars. Published by Universities.®
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- Numerical simulation (3)
- Casino floor optimization (2)
- Evolutionary computing (2)
- Non-linear data modeling (2)
- Solidification (2)
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- ADAMS modeling (1)
- Adaptive algorithm of pulsed control (1)
- Amorphous (1)
- Arc (1)
- Cellular automata (1)
- Combined process (1)
- Computer simulation (1)
- Computer-aided design (1)
- Data Science (1)
- ECAP-drawing (1)
- Energy-saving (1)
- Filling (1)
- Forcasting (1)
- Full thread tree (1)
- Generic structures (1)
- Growth model (1)
- Hot isostatic pressing (1)
- Machine Learning (1)
- Multi-grain growth (1)
- Multi-objective optimization (1)
- Neuroscience (1)
- Nondestructive testing (1)
- Optimization (1)
- Parallel (1)
- Pattern recognition (1)
- Publication
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- The 8th International Conference on Physical and Numerical Simulation of Materials Processing (6)
- Annual Symposium on Biomathematics and Ecology Education and Research (4)
- International Conference on Gambling & Risk Taking (2)
- The Summer Undergraduate Research Fellowship (SURF) Symposium (2)
- 2017 Academic High Altitude Conference (1)
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Articles 1 - 18 of 18
Full-Text Articles in Physical Sciences and Mathematics
Fractal Analysis Of Dna Sequences, Christian G. Arias, Pedro Antonio Moreno Phd, Carlos Tellez
Fractal Analysis Of Dna Sequences, Christian G. Arias, Pedro Antonio Moreno Phd, Carlos Tellez
Annual Symposium on Biomathematics and Ecology Education and Research
No abstract provided.
Teaching Systems Biology Of The Circadian Clock With Journal Articles And Matlab, Stephanie R. Taylor
Teaching Systems Biology Of The Circadian Clock With Journal Articles And Matlab, Stephanie R. Taylor
Annual Symposium on Biomathematics and Ecology Education and Research
No abstract provided.
An Environmental Impact Evaluation Model Generated By Compound Probability Distributions, Devin Akman, Olcay Akman
An Environmental Impact Evaluation Model Generated By Compound Probability Distributions, Devin Akman, Olcay Akman
Annual Symposium on Biomathematics and Ecology Education and Research
No abstract provided.
Neural Networks: Using Biomarkers To Inform Diagnosis, Classification Of Disease And Approach To Therapy, Paula Grajdeanu
Neural Networks: Using Biomarkers To Inform Diagnosis, Classification Of Disease And Approach To Therapy, Paula Grajdeanu
Annual Symposium on Biomathematics and Ecology Education and Research
No abstract provided.
Nondestructive Testing And Structural Health Monitoring Based On Adams And Svm Techniques, Gang Jiang, Yi Ming Deng, Ji Tai Niu
Nondestructive Testing And Structural Health Monitoring Based On Adams And Svm Techniques, Gang Jiang, Yi Ming Deng, Ji Tai Niu
The 8th International Conference on Physical and Numerical Simulation of Materials Processing
No abstract provided.
A Parallel 3d Phase-Field Simulation Of Multi-Grain Growth Based On The Full Thread Tree, Ya-Jun Yin, Min Wang, Jian-Xin Zhou, Dun-Ming Liao, Xu Shen, Tao Chen
A Parallel 3d Phase-Field Simulation Of Multi-Grain Growth Based On The Full Thread Tree, Ya-Jun Yin, Min Wang, Jian-Xin Zhou, Dun-Ming Liao, Xu Shen, Tao Chen
The 8th International Conference on Physical and Numerical Simulation of Materials Processing
No abstract provided.
Computer-Aided Design Of Algorithms Of Pulsed Control Of Arc Welding Process Based On Numerical Simulation, Oksana I. Shpigunova, Anatoliy A. Glazunov
Computer-Aided Design Of Algorithms Of Pulsed Control Of Arc Welding Process Based On Numerical Simulation, Oksana I. Shpigunova, Anatoliy A. Glazunov
The 8th International Conference on Physical and Numerical Simulation of Materials Processing
No abstract provided.
Numerical Simulation Of The Through Process Of Aerospace Titanium Alloy Casting Filling, Solidification, And Hot Isostatic Pressing, Jian-Xin Zhou, Zhao Guo, Ya-Jun Yin, Chang-Chang Liu
Numerical Simulation Of The Through Process Of Aerospace Titanium Alloy Casting Filling, Solidification, And Hot Isostatic Pressing, Jian-Xin Zhou, Zhao Guo, Ya-Jun Yin, Chang-Chang Liu
The 8th International Conference on Physical and Numerical Simulation of Materials Processing
No abstract provided.
Development And Computer Simulation Of A New Combined Energy-Saving Technological Process Of Production Of High-Quality Wire With Sub-Ultrafine-Grained Structure, Abdrakhman Naizabekov, Sergey Lezhnev, Evgeniy Panin, Igor Mazur
Development And Computer Simulation Of A New Combined Energy-Saving Technological Process Of Production Of High-Quality Wire With Sub-Ultrafine-Grained Structure, Abdrakhman Naizabekov, Sergey Lezhnev, Evgeniy Panin, Igor Mazur
The 8th International Conference on Physical and Numerical Simulation of Materials Processing
No abstract provided.
Study On Growth Model Of Cellular Automata Method In Solidification Simulation, Zhao Guo, Jian-Xin Zhou, Ya-Jun Yin, Chang-Chang Liu
Study On Growth Model Of Cellular Automata Method In Solidification Simulation, Zhao Guo, Jian-Xin Zhou, Ya-Jun Yin, Chang-Chang Liu
The 8th International Conference on Physical and Numerical Simulation of Materials Processing
No abstract provided.
High Altitude Cosmic Ray Detection, Jordan D. Van Nest
High Altitude Cosmic Ray Detection, Jordan D. Van Nest
2017 Academic High Altitude Conference
Cosmic rays are high energy atomic nuclei travelling near the speed of light that collide with atoms and molecules in Earth’s upper atmosphere (primarily with nitrogen and oxygen), breaking down into a shower of particles of various energies in the stratosphere. As they travel earthward, these particles continue to break down and lose energy which results in relatively little ionizing radiation reaching the surface. Due to the scattering of cosmic rays, the angle at which the rays enter the atmosphere can affect the number and energies of ionizing particles detected at various altitudes. When using a standard Geiger counter on …
Analyzing Sports Training Data With Machine Learning Techniques, Rehana Mahfuz, Zeinab Mourad, Aly El Gamal
Analyzing Sports Training Data With Machine Learning Techniques, Rehana Mahfuz, Zeinab Mourad, Aly El Gamal
The Summer Undergraduate Research Fellowship (SURF) Symposium
In the sports industry, there has not been enough effort in analyzing the personalized monitoring data of athletes collected during training sessions. This research is an attempt to find meaningful patterns in the Purdue Women’s Soccer training data that could help the coach design more efficient training sessions. We are specifically interested in studying this problem as an unsupervised learning problem. Our initial attempt is to cluster the players as well as drills into groups using k-means, c-means and spectral clustering algorithms, combined with feature transformation and reduction steps. These basic algorithms serve as a benchmark to measure performance improvements …
Generalizing The Quantum Dot Lab Towards Arbitrary Shapes And Compositions, Matthew A. Bliss, Prasad Sarangapani, James Fonseca, Gerhard Klimeck
Generalizing The Quantum Dot Lab Towards Arbitrary Shapes And Compositions, Matthew A. Bliss, Prasad Sarangapani, James Fonseca, Gerhard Klimeck
The Summer Undergraduate Research Fellowship (SURF) Symposium
As applications in nanotechnology reach the scale of countable atoms, computer simulation has become a necessity in the understanding of new devices, such as quantum dots. To understand the various optoelectronic properties of these nanoparticles, the Quantum Dot Lab (QDL) has been created and powered by NEMO5 to simulate on multi-scale, multi-physics bases. QDL is easy to use by offering choices of different QD geometries such as shapes and sizes to the users from a predefined menu. The simplicity of use, however, limits the simulation of general QD shapes and compositions. A method to import generic strained crystalline and amorphous …
Optimizing The Mix Of Games And Their Locations On The Casino Floor, Jason D. Fiege, Anastasia D. Baran
Optimizing The Mix Of Games And Their Locations On The Casino Floor, Jason D. Fiege, Anastasia D. Baran
International Conference on Gambling & Risk Taking
We present a mathematical framework and computational approach that aims to optimize the mix and locations of slot machine types and denominations, plus other games to maximize the overall performance of the gaming floor. This problem belongs to a larger class of spatial resource optimization problems, concerned with optimizing the allocation and spatial distribution of finite resources, subject to various constraints. We introduce a powerful multi-objective evolutionary optimization and data-modelling platform, developed by the presenter since 2002, and show how this software can be used for casino floor optimization. We begin by extending a linear formulation of the casino floor …
Stationary And Time-Dependent Optimization Of The Casino Floor Slot Machine Mix, Anastasia D. Baran, Jason D. Fiege
Stationary And Time-Dependent Optimization Of The Casino Floor Slot Machine Mix, Anastasia D. Baran, Jason D. Fiege
International Conference on Gambling & Risk Taking
Modeling and optimizing the performance of a mix of slot machines on a gaming floor can be addressed at various levels of coarseness, and may or may not consider time-dependent trends. For example, a model might consider only time-averaged, aggregate data for all machines of a given type; time-dependent aggregate data; time-averaged data for individual machines; or fully time dependent data for individual machines. Fine-grained, time-dependent data for individual machines offers the most potential for detailed analysis and improvements to the casino floor performance, but also suffers the greatest amount of statistical noise. We present a theoretical analysis of single …
Hill's Diagrammatic Method And Reduced Graph Powers, Gregory D. Smith, Richard Hammack
Hill's Diagrammatic Method And Reduced Graph Powers, Gregory D. Smith, Richard Hammack
Biology and Medicine Through Mathematics Conference
No abstract provided.
Applying Machine Learning To Predict Stock Value, Joseph Lemley, Yishui Liu, Dipayan Banik, Sadia Afroze
Applying Machine Learning To Predict Stock Value, Joseph Lemley, Yishui Liu, Dipayan Banik, Sadia Afroze
Symposium Of University Research and Creative Expression (SOURCE)
The purpose of this study was to compare machine learning techniques for short term stock prediction and evaluate their effectiveness. Stock value analysis is an important element of modern economies. The ability to predict future stock prices from historical price values is of tremendous interest to investors. The prediction of stock performance is still an unsolved problem with a variety of techniques being proposed. Real stock values are affected by many elements, some of which cannot be measured. In this study, we limit our analysis to stock closing prices. We use these prices to predict the future stock value using …
A Novel Computational Approach For Reducing False Positives In Text Data Mining, Noah Yasarturk
A Novel Computational Approach For Reducing False Positives In Text Data Mining, Noah Yasarturk
Georgia State Undergraduate Research Conference
No abstract provided.