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330 full-text articles. Page 1 of 13.

1d Conditional Generative Adversarial Network For Spectrum-To-Spectrum Translation Of Simulated Chemical Reflectance Signatures, Cara Murphy, John Kerekes 2021 Systems & Technology Research

1d Conditional Generative Adversarial Network For Spectrum-To-Spectrum Translation Of Simulated Chemical Reflectance Signatures, Cara Murphy, John Kerekes

Articles

The classification of trace chemical residues through active spectroscopic sensing is challenging due to the lack of physics-based models that can accurately predict spectra. To overcome this challenge, we leveraged the field of domain adaptation to translate data from the simulated to the measured domain for training a classifier. We developed the first 1D conditional generative adversarial network (GAN) to perform spectrum-to-spectrum translation of reflectance signatures. We applied the 1D conditional GAN to a library of simulated spectra and quantified the improvement in classification accuracy on real data using the translated spectra for training the classifier. Using the GAN-translated library ...


Modeling And Analysis Of Nonstationary Gas Filtration Under Gas Dynamic Parameters Variation, N Ravshanov, Elmira Nazirova 2021 “Bulletin of TUIT: Management and Communication Technologies”

Modeling And Analysis Of Nonstationary Gas Filtration Under Gas Dynamic Parameters Variation, N Ravshanov, Elmira Nazirova

Bulletin of TUIT: Management and Communication Technologies

A mathematical model that describes a partial differential equation with boundary, internal and initial conditions was developed in the article, to study the gas-dynamic parameters of the gas filtration process in a porous medium under isothermal conditions. The study was performed based on the reviews of research works related to mathematical modeling in recent years. Computational experiments (CE) were conducted on a computer to determine the response of the main parameters on the process of gas filtration in a porous medium on the basis of the developed mathematical tool (model, numerical algorithm, and software). The results of numerical calculations were ...


Numerical Algorithm Of Computational Experiment Of The Applied Optimal Control Problem In Systems With Distributed Parameters, Olim Suvonov 2021 “Bulletin of TUIT: Management and Communication Technologies”

Numerical Algorithm Of Computational Experiment Of The Applied Optimal Control Problem In Systems With Distributed Parameters, Olim Suvonov

Bulletin of TUIT: Management and Communication Technologies

Stages of computing experiment of the developed algorithm by means of the final and differential scheme for the solution of applied problems of optimum control of the processes described by the solutions of elliptic type are given n article.


Development Of A Technological Modeling System For Refining Processes, Isomiddin Siddikov, Akmal Ganiev 2021 “Bulletin of TUIT: Management and Communication Technologies”

Development Of A Technological Modeling System For Refining Processes, Isomiddin Siddikov, Akmal Ganiev

Bulletin of TUIT: Management and Communication Technologies

The article considers with the creation of a modeling system that allows the formation the dynamics of the technological process. Taking into account its physical and chemical properties. To solve this issue, the application of a semantic network is proposed, which ensures the aggregation of process models based on their compatibility. The proposed approach is implemented for dehydrogenation parameters, which showed the effectiveness of the proposed approach.


Evaluation Of Five Methods To Develop Latent Prints On Thermal Paper, Jenna Pregent 2021 Virginia Commonwealth University

Evaluation Of Five Methods To Develop Latent Prints On Thermal Paper, Jenna Pregent

Theses and Dissertations

Forensic latent fingerprint laboratories determine the proper techniques for fingerprint visualization based on the substrates upon which they are deposited. Typical forensic analysis of thermal paper evidence involves the application of ninhydrin and/or 1,2-indanedione dissolved in a polar solvent. However, polar solvents create an undesirable reaction with the thermal paper’s internal properties and often lead to discoloration of the evidence. When this occurs, not only are the fingerprints less likely to be visible due to the loss of contrast, but the evidentiary print on the receipt may be lost entirely. This research sought to compare five development ...


Modeling Vegetation Effects On Barrier Island Evolution, Eric W. Schoen 2021 Virginia Commonwealth University

Modeling Vegetation Effects On Barrier Island Evolution, Eric W. Schoen

Theses and Dissertations

Barrier islands play a significant role in protecting coastlines and harboring coastal habitats. In an effort to study and better understand the evolution of barrier island systems, a cellular model capturing various meteorological and environmental processes is proposed. Erosion due to wind, gravity, and marine processes are coupled with plant population effects. We demonstrate the inhibition of plant cover on sediment mobility, island migration, and erosion in the presence of sea level rise.


Phantom Ocean, Real Impact: Natural Surf Sound Experiments Alter Foraging Activity And Habitat Use Across Taxa, Ryan N. Wardle 2020 California Polytechnic State University, San Luis Obispo

Phantom Ocean, Real Impact: Natural Surf Sound Experiments Alter Foraging Activity And Habitat Use Across Taxa, Ryan N. Wardle

Master's Theses

A growing body of research focuses on how background sounds shape and alter critical elements of animals’ lives, such as foraging behavior, habitat use, and ecological interactions (Bradbury & Vehrencamp, 2011; Barber et al., 2010; Kight & Swaddle, 2011; Shannon et al., 2016). Much of this research has centered on the effects of anthropogenic noise (Dominoni et al., 2020; Francis & Barber, 2013; Ortega, 2012; Swaddle et al., 2015), but recent studies have also revealed that natural sound sources can influence animal behavior (Davidson et al., 2017; Le et al., 2019). Natural sounds, such as crashing surf, can create conditions where signaling and listening are difficult, but how this ...


Stem Education In College: An Analysis Of Stakeholders’ Recent Challenges And Potential Solutions, Santanu De, Georgina Arguello 2020 Nova Southeastern University

Stem Education In College: An Analysis Of Stakeholders’ Recent Challenges And Potential Solutions, Santanu De, Georgina Arguello

FDLA Journal

A vast majority of academic disciplines and curricula in the college center around Science, Technology, Engineering, and Mathematics (STEM), which are critical to developing the skills necessary for a global workforce. Rapid changes in pedagogical setups, educational modes, and advances in instructional technology entail diverse challenges for key stakeholders (i.e. students, faculty, and the organizations). This paper highlights the most relevant challenges and potential solutions in STEM higher education at the college level, reported in the last decade. The holistic analysis combining the three stakeholders’ perspectives would help elucidate significant contemporary aspects impacting the fields. The goal is to ...


Application Of Tda Mapper To Water Data And Bird Data, Wako Bungula 2020 University of Wisconsin - La Crosse

Application Of Tda Mapper To Water Data And Bird Data, Wako Bungula

Annual Symposium on Biomathematics and Ecology Education and Research

No abstract provided.


Video Game Genre Classification Based On Deep Learning, Yuhang Jiang 2020 Western Kentucky University

Video Game Genre Classification Based On Deep Learning, Yuhang Jiang

Masters Theses & Specialist Projects

Video games have played a more and more important role in our life. While the genre classification is a deeply explored research subject by leveraging the strength of deep learning, the automatic video game genre classification has drawn little attention in academia. In this study, we compiled a large dataset of 50,000 video games, consisting of the video game covers, game descriptions and the genre information. We explored three approaches for genre classification using deep learning techniques. First, we developed five image-based models utilizing pre-trained computer vision models such as MobileNet, ResNet50 and Inception, based on the game covers ...


Exploring Crisis Communication And Information Dissemination On Social Media: Social Network Analysis Of Hurricane Irma Tweets, Xianlin JIn 2020 University of Kentucky

Exploring Crisis Communication And Information Dissemination On Social Media: Social Network Analysis Of Hurricane Irma Tweets, Xianlin Jin

Journal of International Crisis and Risk Communication Research

This study utilized social network analysis to identify the top 10 Twitter influentials during the Hurricane Irma crisis period and examined the relationship between social media attributes and the bridge influence of controlling information flow. The number of a user’s followers and tweets significantly predicted one’s control of information. Crisis information tended to be shared in scattered subgroups. Social network boundaries impeded information diffusion, and the communication pattern was largely one-way. The findings partially supported the opinion leader argument while indicating that influentials can directly generate information, which is consistent with the social-mediated crisis communication model. Such findings ...


Application Of Autoencoders For Latent Pattern Analysis In Image Time Series, Jiena He 2020 Clark University

Application Of Autoencoders For Latent Pattern Analysis In Image Time Series, Jiena He

International Development, Community and Environment (IDCE)

The Earth system is considered to possess certain modes - preferred patterns of variability that can represent the latent structure of the climate system, also known as teleconnections. There are approaches to discover these patterns, Principal Components Analysis and Empirical Orthogonal Teleconnection (EOT) analysis. However, while the latter is very effective, it is computationally intensive. An autoencoder is an unsupervised neural network that learns an efficient neural representation of input data. It is considered as a dimensionality reduction tool that is highly similar to PCA and EOT. The hidden layer of an autoencoder represents the most significant information of the input ...


Countermovement Jump Assessment For Monitoring Prolonged Fatigue In Collegiate Female Soccer Players, Jeffrey A. Wilkins 2020 Boise State University

Countermovement Jump Assessment For Monitoring Prolonged Fatigue In Collegiate Female Soccer Players, Jeffrey A. Wilkins

Boise State University Theses and Dissertations

Introduction: Females are 4 to 6 times more likely to sustain an anterior cruciate ligament (ACL) injury than their male counterparts during running and cutting sports, such as soccer. This sex disparity is thought to result from altered lower limb neuromuscular control that females present when fatigued at the end of practice or games. Yet, current fatigue monitoring techniques typically vary in their reliability, applicability and efficiency. Purpose: The purpose of this study is to test the feasibility of the countermovement jump (CMJ) to quickly and reliably monitor fatigue in female soccer athletes. Methods: Twenty-two (age: 19.3 ± 1.1 ...


Digital Modeling Of Cultural Heritage Objects, Snehal Padhye, James Ferwerda 2020 Rochester Institute Of Technology

Digital Modeling Of Cultural Heritage Objects, Snehal Padhye, James Ferwerda

Frameless

Cultural heritage objects are a rich source of information about human history. Due to the physical nature of these often old and typically rare or unique objects, humanity is at risk of losing this history. Given their importance, preservation is an active area of interest in the research community. While, digitally capturing images of the objects is common practice, we propose a more comprehensive approach to preserving these objects. It involves creating digital models that represent both the three-dimensional shapes of the objects and the materials they are made of.


Towards Realism Interpretation Of Wave Mechanics Based On Maxwell Equations In Quaternion Space And Some Implications, Including Smarandache’S Hypothesis, Florentin Smarandache, Victor Christianto, Yunita Umniyati 2020 University of New Mexico

Towards Realism Interpretation Of Wave Mechanics Based On Maxwell Equations In Quaternion Space And Some Implications, Including Smarandache’S Hypothesis, Florentin Smarandache, Victor Christianto, Yunita Umniyati

Mathematics and Statistics Faculty and Staff Publications

No abstract provided.


Numerical Modeling Of Magnetic Fields For Mirror Neutron Search Experiment, Adam Johnston 2020 University of Tennessee, Knoxville

Numerical Modeling Of Magnetic Fields For Mirror Neutron Search Experiment, Adam Johnston

Pursuit - The Journal of Undergraduate Research at The University of Tennessee

This paper will outline the configuration of 3D magnetic field model simulated from electric current sources using MATLAB. The model is using 3D arrays allowing for quick and accurate numerical approximations of Bio-Savart integrals, of error < , modeling the behavior of a magnetic field due to current carrying wires. We will discuss the development of a 3D magnetic field configuration produced by the current carrying wires around a large 2.5 m diameter vacuum beam tube in the proposed mirror neutron search experiment at High Flux Isotope Reactor (HFIR) at Oak Ridge National Laboratory (ORNL). The simulations demonstrate that the magnetic field with uniformity better than ± 2.5 mG that will allow for optimal results in experiment within the controlled range of net magnetic field magnitudes |B| 500 mG and in the large vacuum tube along 20-m neutron flight path can be achieved for an approximately 6 cm radius section at the center of the tube.


Gait Characterization Using Computer Vision Video Analysis, Martha T. Gizaw 2020 College of William and Mary

Gait Characterization Using Computer Vision Video Analysis, Martha T. Gizaw

Undergraduate Honors Theses

The World Health Organization reports that falls are the second-leading cause of accidental death among senior adults around the world. Currently, a research team at William & Mary’s Department of Kinesiology & Health Sciences attempts to recognize and correct aging-related factors that can result in falling. To meet this goal, the members of that team videotape walking tests to examine individual gait parameters of older subjects. However, they undergo a slow, laborious process of analyzing video frame by video frame to obtain such parameters. This project uses computer vision software to reconstruct walking models from residents of an independent living retirement ...


The Disconnect Between Forensic Science And The Lawyers And Judges Who Represent It, Hannah Reidenbaugh 2020 Duquesne University

The Disconnect Between Forensic Science And The Lawyers And Judges Who Represent It, Hannah Reidenbaugh

Graduate Student Research Symposium

The goal of this research is to demonstrate a knowledge gap in the forensic science education of lawyers. In law schools across the country, there is minimal curriculum requirements focused on educating law students in forensic science. Of the top 50 law schools in the U.S., 20% offer a forensic science elective. After the rigor of law school, there is no requirement set to educate lawyers in forensic science. In fact, based on survey responses, 51% of criminal lawyers do not take part in forensic science continuing education programs. Though educators as well as professionals have voiced the need ...


Advanced Computational Methodologies To Study Binding Free Energies Of Biomolecular Complexes, Rajat Kumar Pal 2020 The Graduate Center, City University of New York

Advanced Computational Methodologies To Study Binding Free Energies Of Biomolecular Complexes, Rajat Kumar Pal

Dissertations, Theses, and Capstone Projects

Molecular recognition is the basis of biological mechanisms and is a key element to consider while formulating effective and safe drugs. Pharmaceutical drugs are designed so as to bind a target protein even at very low concentrations to alter the diseased conditions without interfering with normal biological processes. In a rational drug design process, this is achieved by acquiring information about the chemical structure and the physical and chemical properties of the target protein receptor to gain insights on how changing the chemical composition of the substrate drug could affect the protein-drug interaction and binding affinities. Computational models are used ...


The Geometry Of The Orthological Triangles, Florentin Smarandache, Ion Patrascu 2020 University of New Mexico

The Geometry Of The Orthological Triangles, Florentin Smarandache, Ion Patrascu

Mathematics and Statistics Faculty and Staff Publications

Plants and trees grow perpendicular to the plane tangent to the soil surface, at the point of penetration into the soil; in vacuum, the bodies fall perpendicular to the surface of the Earth - in both cases, if the surface is horizontal. Starting from the property of two triangles to be orthological, the two authors have designed this work that seeks to provide an integrative image of elementary geometry by the prism of this "filter". Basically, the property of orthology is the skeleton of the present work, which establishes many connections of some theorems and geometric properties with it. The book ...


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