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Nonlocal Automated Comparative Static Analysis, Leigh Tesfatsion 2016 Iowa State University

Nonlocal Automated Comparative Static Analysis, Leigh Tesfatsion

Leigh Tesfatsion

This paper reviews work on the^ development of a program Nasa for the automated comparative static analysis of parametrized nonlinear systems over parameter intervals. Nasa incorporates a fast and efficient algorithm Feed for the automatic evaluation of higher-order partial derivatives, as well as an adaptive homotopy continuation algorithm for obtaining all required iiutial conditions. Applications are envisioned for fields such as economics where models tend to be complex and closed-form solutions are difficult to obtain...


Hysteresis In An Evolutionary Labor Market With Adaptive Search, Leigh Tesfatsion 2016 Iowa State University

Hysteresis In An Evolutionary Labor Market With Adaptive Search, Leigh Tesfatsion

Leigh Tesfatsion

This study undertakes a systematic experimental investigation of hysteresis (path dependency) in an agent-based computational labor market framework. It is shown that capacity asymmetries between work suppliers and employers can result in two distinct hysteresis effects, network and-behavioral, when work suppliers and employers interact strategically and evolve their work site behaviors over time. These hysteresis effects result in persistent heterogeneity in earnings and employment histories across agents who have no observable structural differences. At a more global level, these hysteresis effects are shown to result in a one-to-many mapping between treatment factors and experimental outcomes. These hysteresis effects may help ...


A C++ Platform For The Evolution Of Trade Networks, David McFadzean, Leigh Tesfatsion 2016 Iowa State University

A C++ Platform For The Evolution Of Trade Networks, David Mcfadzean, Leigh Tesfatsion

Leigh Tesfatsion

This paper presents a general C++ platform for the implementation of a trade network game (TNG) that combines evolutionary game play with preferential partner selection. In the TNG, successive generations of resource constrained traders choose and refuse trade partners on the basis of continually updated expected payoffs^ engage in risky trades modeled as two-person games, and evolve-their trade strategies-over time...


Seeing Human Weight From A Single Rgb-D Image, Tam Nguyen, Jiashi Feng, Shuicheng Yan 2016 University of Dayton

Seeing Human Weight From A Single Rgb-D Image, Tam Nguyen, Jiashi Feng, Shuicheng Yan

Tam Nguyen

Human weight estimation is useful in a variety of potential applications, e.g., targeted advertisement, entertainment scenarios and forensic science. However, estimating weight only from color cues is particularly challenging since these cues are quite sensitive to lighting and imaging conditions. In this article, we propose a novel weight estimator based on a single RGB-D image, which utilizes the visual color cues and depth information. Our main contributions are three-fold.

First, we construct the W8-RGBD dataset including RGB-D images of different people with ground truth weight.

Second, the novel sideview shape feature and the feature fusion model are proposed to ...


Fractal Analysis Of Dna Sequences, Christian G. Arias, Pedro Antonio Moreno Phd, Carlos Tellez 2016 Universidad del Valle - Colombia - Georgia Institute of Technology

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.


An Environmental Impact Evaluation Model Generated By Compound Probability Distributions, Devin Akman, Olcay Akman 2016 University of Illinois Urbana-Champaign

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.


Teaching Systems Biology Of The Circadian Clock With Journal Articles And Matlab, Stephanie R. Taylor 2016 Colby College

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.


Neural Networks: Using Biomarkers To Inform Diagnosis, Classification Of Disease And Approach To Therapy, Paula Grajdeanu 2016 Shenandoah University

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 2016 Southwest University of Science and Technology

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 2016 Huazhong University of Science and Technology

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 2016 Tomsk State University

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 2016 Huazhong University of Science and Technology

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 2016 Rudny Industrial Institute

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 2016 Huazhong University of Science and Technology

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.


Identifying Individual Driver Behaviour Using In-Vehicle Can-Bus Signals Of Pre-Turning Maneuvers, Mahboubeh Zardosht 2016 The University of Western Ontario

Identifying Individual Driver Behaviour Using In-Vehicle Can-Bus Signals Of Pre-Turning Maneuvers, Mahboubeh Zardosht

Electronic Thesis and Dissertation Repository

All drivers have their own driving style while performing different driving maneuvers. They vary in using vehicle’s control devices such as the steering wheel, pedals, gears etc. In this thesis, we analyze driving behavior in different timeframes prior to turns. We employ data obtained from actual driving behavior in an urban environment collected from the CAN-Bus of an instrumented vehicle. Five CAN-Bus signals, vehicle speed, gas pedal pressure, brake pedal pressure, steering wheel angle, and acceleration, is collected for 5, 10, and 15 seconds of driving prior to each turn. We consider all turns for each driver as well ...


Exploring Mathematical Strategies For Finding Hidden Features In Multi-Dimensional Big Datasets, Tri Duong, Fang Ren, Apurva Mehta 2016 University of Houston

Exploring Mathematical Strategies For Finding Hidden Features In Multi-Dimensional Big Datasets, Tri Duong, Fang Ren, Apurva Mehta

STAR (STEM Teacher and Researcher) Presentations

With advances in technology in brighter sources and larger and faster detectors, the amount of data generated at national user facilities such as SLAC is increasing exponentially. Humans have a superb ability to recognize patterns in complex and noisy data and therefore, data is still curated and analyzed by humans. However, a human brain is unable to keep up with the accelerated pace of data generation, and as a consequence, the rate of new discoveries hasn't kept pace with the rate of data creation. Therefore, new procedures to quickly assess and analyze the data are needed. Machine learning approaches ...


Computerized Classification Of Surface Spikes In Three-Dimensional Electron Microscopic Reconstructions Of Viruses, Younes Benkarroum 2016 The Graduate Center, City University of New York

Computerized Classification Of Surface Spikes In Three-Dimensional Electron Microscopic Reconstructions Of Viruses, Younes Benkarroum

All Graduate Works by Year: Dissertations, Theses, and Capstone Projects

The purpose of this research is to develop computer techniques for improved three-dimensional (3D) reconstruction of viruses from electron microscopic images of them and for the subsequent improved classification of the surface spikes in the resulting reconstruction. The broader impact of such work is the following.

Influenza is an infectious disease caused by rapidly-changing viruses that appear seasonally in the human population. New strains of influenza viruses appear every year, with the potential to cause a serious global pandemic. Two kinds of spikes – hemagglutinin (HA) and neuraminidase (NA) – decorate the surface of the virus particles and these proteins are primarily ...


Stochastic Cosamp: Randomizing Greedy Pursuit For Sparse Signal Recovery, Dipan K. Pal, Ole J. Mengshoel 2016 Carnegie Mellon University

Stochastic Cosamp: Randomizing Greedy Pursuit For Sparse Signal Recovery, Dipan K. Pal, Ole J. Mengshoel

Ole J Mengshoel

In this paper, we formulate the K-sparse compressed signal recovery problem with the L0 norm within a Stochastic Local Search (SLS) framework. Within this randomized framework, we generalize the popular recovery algorithm CoSaMP, creating Stochastic CoSaMP (StoCoSaMP). Interestingly, our deterministic worst case analysis shows that under RIP, even a purely random version of StoCoSaMP is guaranteed to recover a notion of strong components of a sparse signal, thereby leading to support convergence. Empirically, we find that randomness helps StoCoSaMP to outperform CoSaMP both in terms of signal recoverability and computational cost, even in high dimensions (upto 1 million dimensions), on ...


Improving The Performance Of Ice Sheet Modeling Through Embedded Simulation, Christopher G. Dufour 2016 University of Maine

Improving The Performance Of Ice Sheet Modeling Through Embedded Simulation, Christopher G. Dufour

Electronic Theses and Dissertations

Understanding the impact of global climate change is a critical concern for society at large. One important piece of the climate puzzle is how large-scale ice sheets, such as those covering Greenland and Antarctica, respond to a warming climate. Given such ice sheets are under constant change, developing models that can accurately capture their dynamics represents a significant challenge to researchers. The problem, however, is properly capturing the dynamics of an ice sheet model requires a high model resolution and simulating these models is intractable even for state-of-the-art supercomputers.

This thesis presents a revolutionary approach to accurately capture ice sheet ...


Bayesian Networks To Assess The Newborn Stool Microbiome, William E. Bennett Jr. 2016 Washington University in St. Louis

Bayesian Networks To Assess The Newborn Stool Microbiome, William E. Bennett Jr.

Engineering and Applied Science Theses & Dissertations

In human stool, a large population of bacterial genes and transcripts from hundreds of genera coexist with host genes and transcripts. Assessments of the metagenome and transcriptome are particularly challenging, since there is a great deal of sequence overlap among related species and related genes. We sequenced the total RNA content from stool samples in a neonate using previously-described methods. We then performed stepwise alignment of different populations of RNA sequence reads to different indices, including ribosomal databases, the human genome, and all sequenced bacterial genomes. Each pool of RNA at each alignment step was subjected to compression to assess ...


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