Physical Sciences and Mathematics Commons^™

A Robust Normalizing Flow Using Bernstein-Type Polynomials, Sameera Ramasinghe, Kasun Fernando, Salman Khan, Nick Barnes

Computer Vision Faculty Publications

Modeling real-world distributions can often be challenging due to sample data that are subjected to perturbations, e.g., instrumentation errors, or added random noise. Since flow models are typically nonlinear algorithms, they amplify these initial errors, leading to poor generalizations. This paper proposes a framework to construct Normalizing Flows (NFs) which demonstrate higher robustness against such initial errors. To this end, we utilize Bernstein-type polynomials inspired by the optimal stability of the Bernstein basis. Further, compared to the existing NF frameworks, our method provides compelling advantages like theoretical upper bounds for the approximation error, better suitability for compactly supported densities, and …

Face Pyramid Vision Transformer, Khawar Islam, Muhammad Zaigham Zaheer, Arif Mahmood

Computer Vision Faculty Publications

A novel Face Pyramid Vision Transformer (FPVT) is proposed to learn a discriminative multi-scale facial representations for face recognition and verification. In FPVT, Face Spatial Reduction Attention (FSRA) and Dimensionality Reduction (FDR) layers are employed to make the feature maps compact, thus reducing the computations. An Improved Patch Embedding (IPE) algorithm is proposed to exploit the benefits of CNNs in ViTs (e.g., shared weights, local context, and receptive fields) to model lower-level edges to higher-level semantic primitives. Within FPVT framework, a Convolutional Feed-Forward Network (CFFN) is proposed that extracts locality information to learn low level facial information. The proposed FPVT …

An Effective Deep Learning Approach For The Classification Of Bacteriosis In Peach Leave, Muneer Akbar, Mohib Ullah, Babar Shah, Rafi Ullah Khan, Tariq Hussain, Farman Ali, Fayadh Alenezi, Ikram Syed, Kyung Sup Kwak

All Works

Bacteriosis is one of the most prevalent and deadly infections that affect peach crops globally. Timely detection of Bacteriosis disease is essential for lowering pesticide use and preventing crop loss. It takes time and effort to distinguish and detect Bacteriosis or a short hole in a peach leaf. In this paper, we proposed a novel LightWeight (WLNet) Convolutional Neural Network (CNN) model based on Visual Geometry Group (VGG-19) for detecting and classifying images into Bacteriosis and healthy images. Profound knowledge of the proposed model is utilized to detect Bacteriosis in peach leaf images. First, a dataset is developed which consists …

Transresnet: Integrating The Strengths Of Vits And Cnns For High Resolution Medical Image Segmentation Via Feature Grafting, Muhammad Hamza Sharif, Dmitry Demidov, Asif Hanif, Mohammad Yaqub, Min Xu

Computer Vision Faculty Publications

High-resolution images are preferable in medical imaging domain as they significantly improve the diagnostic capability of the underlying method. In particular, high resolution helps substantially in improving automatic image segmentation. However, most of the existing deep learning-based techniques for medical image segmentation are optimized for input images having small spatial dimensions and perform poorly on high-resolution images. To address this shortcoming, we propose a parallel-in-branch architecture called TransResNet, which incorporates Transformer and CNN in a parallel manner to extract features from multi-resolution images independently. In TransResNet, we introduce Cross Grafting Module (CGM), which generates the grafted features, enriched in both …

The Importance Of Social Engineering, Jalaya Allen

Cybersecurity Undergraduate Research Showcase

Most people are afraid of being attacked when walking to their car, relaxing at home, or doing normal things like shopping. Though the unlikeliest of attacks have become one of the most dangerous. Just imagine someone having the ability to watch your every move online and virtually. They can find your credit card information, passwords, social security number and so much more. Then with that information, they can steal your identity and sell it on the black market as well as threaten you for money. Attacks like these use something called Social Engineering to trick the user into giving up …

Coupling Evidence From Lower Atmosphere To Mesosphere And Ionosphere Through Quasi 27-Day Oscillation, Alan Z. Liu, Kaiming Huang, Hao Cheng, Shaodong Zhang, Chunming Huang, Yun Gong, Gang Chen

Publications

Using meteor radar, radiosonde and digisonde observations and MERRA-2 reanalysis data from 12 August to 31 October 2006, we report a dynamical coupling from the tropical lower atmosphere to the mesosphere and ionospheric F2 region through a quasi 27-day intraseasonal oscillation (ISO). It is interesting that the quasi 27-day ISO is active in the troposphere and stratopause and mesopause regions, exhibiting a three-layer structure. In the mesosphere and lower thermosphere (MLT), the amplitude in the zonal wind increases from about 4 ms at 90 km to 15 ms at 100 km, which is different from previous observations that ISOs generally …

Wallaby Pilot Survey: Hi Gas Kinematics Of Galaxy Pairs In Cluster Environment, Shin-Jeong Kim, Minsu Kim, Hye-Jin Park, Shinna Kim, Bigiel Frank, Helga Denes, Bi-Qing For, Peter Kamphuis, Se-Heon Oh, Benne Holwerda, Kristen Mcquinn, Juan Madrid, Ahmed Elagali, Gerhardt R. Meurer, Kristine Spekkens, Lister Staveley-Smith, Barbara Catinella, Nathan Deg, Karen Lee-Waddell, Jing Wang, Lourdes Verdes-Montenegro, Ivy Wong, Jonghwan Rhee

Faculty and Staff Scholarship

We examine the H I gas kinematics of galaxy pairs in two clusters and a group using Australian Square Kilometre Array Pathfinder (ASKAP) WALLABY pilot survey observations. We compare the H I properties of galaxy pair candidates in the Hydra I and Norma clusters, and the NGC 4636 group, with those of non-paired control galaxies selected in the same fields. We perform H I profile decomposition of the sample galaxies using a tool, BAYGAUD which allows us to de-blend a line-of-sight velocity profile with an optimal number of Gaussian components. We construct H I super-profiles of the sample galaxies via …

Galaxy And Mass Assembly (Gama): Extended Intragroup Light In A Group At Z = 0.2 From Deep Hyper Suprime-Cam Images, Cristina Martínez-Lombilla, Sarah Brough, Mireia Montes, Roberto Baena-Gallé, Mohammad Akhlaghi, Raúl Infante-Sainz, Simon P. Driver, Benne W. Holwerda, Kevin A. Pimbblet, Aaron S G Robotham

Faculty and Staff Scholarship

We present a pilot study to assess the potential of Hyper Suprime-Cam Public Data Release 2 (HSC-PDR2) images for the analysis of extended faint structures within groups of galaxies. We examine the intragroup light (IGL) of the group 400138 (M_dyn = 1.3 ± 0.5 × 1013 M_⊙, z ∼ 0.2) from the Galaxy And Mass Assembly (GAMA) survey using Hyper Suprime-Cam Subaru Strategic Program Public Data Release 2 (HSC-SSP PDR2) images in g, r, and i bands. We present the most extended IGL measurement to date, reaching down to μglim=30.76" role="presentation" style="box-sizing: border-box; margin: 0px; …

Mgrre_Thinsections_05_A_95, Mgrre

Thin Sections

No abstract provided.

Natural Resource System Size Can Be Used For Managing Recreational Use, Derek S. Kane, Kevin L. Pope, Keith D. Koupal, Mark A. Pegg, Christopher J. Chizinski, Mark A. Kaemingk

Nebraska Cooperative Fish and Wildlife Research Unit: Staff Publications

Outdoor recreation provides societal benefits that are often measured by the amount of use natural resource systems receive. Still, the amount of resource use natural resource systems receive is often unknown or unstudied. Monitoring and quantifying resource use is often logistically difficult and costly but is paramount to optimize societal benefits. Identifying a simple and readily available metric that can indicate the quantity of recreational use of natural resource systems would benefit natural resource management. Using recreational angler participation data during an 11-year study period from 73 public waterbodies in Nebraska, USA, we developed a resource size-use model that demonstrates …

Whispering Gallery Modes Of A Triatomic Photonic Molecule, Vladimir Shuvayev, Stanislav Kreps, Tal Carmon, Lev Deych

Publications and Research

In this paper, we present the results of numerical simulations of the optical spectra of a three-sphere photonic molecule. The configuration of the system was continuously modified from linear to triangular, in-plane with the fundamental mode excited in one of the spheres and perpendicular to it. We found the relative insensitivity of the spectra to the in-plane deviation from the linear arrangement up to about 110°. For larger angles, the spectra show significant modification consisting of the major spectral peaks splitting and shifting. On the contrary, the spectra are quite sensitive to out-of-plane molecule deviation, even at small angles. Thus, …

Pandemic Fatigue Impedes Mitigation Of Covid-19 In Hong Kong, Zhanwei Du, Lin Wang, Songwei Shan, Dickson Lam, Tim K. Tsang, Jingyi Xiao, Huizhi Gao, Bingyi Yang, Sheikh Taslim Ali, Sen Pei, Isaac Chun-Hai Fung, Eric H. Y. Lau, Qiuyan Liao, Peng Wu, Lauren Ancel Meyers, Gabriel M. Leung, Benjamin Cowling

Department of Biostatistics, Epidemiology, and Environmental Health Sciences Faculty Publications

Hong Kong has implemented stringent public health and social measures (PHSMs) to curb each of the four COVID-19 epidemic waves since January 2020. The third wave between July and September 2020 was brought under control within 2 m, while the fourth wave starting from the end of October 2020 has taken longer to bring under control and lasted at least 5 mo. Here, we report the pandemic fatigue as one of the potential reasons for the reduced impact of PHSMs on transmission in the fourth wave. We contacted either 500 or 1,000 local residents through weekly random-digit dialing of landlines …

Association Between The Health Belief Model, Exercise, And Nutrition Behaviors During The Covid-19 Pandemic, Keagan Kiely, Bill Mase, Andrew R. Hansen, Jessica S. Schwind

Department of Biostatistics, Epidemiology, and Environmental Health Sciences Faculty Publications

Introduction: The COVID-19 pandemic has affected our nation’s health further than the infection it causes. Physical activity levels and dietary intake have suffered while individuals grapple with the changes in behavior to reduce viral transmission. With unique nuances regarding the access to physical activity and nutrition during the pandemic, the constructs of Health Belief Model (HBM) may present themselves differently in nutrition and exercise behaviors compared to precautions implemented to reduce viral transmission studied in previous research. The purpose of this study was to investigate the extent of exercise and nutritional behavior change during the COVID-19 pandemic and explain the …

Predicting The Stability Of Open Stopes Using Machine Learning, Alicja Szmigiel, Derek B. Apel

Journal of Sustainable Mining

The Mathews stability graph method was presented for the first time in 1980. This method was developed to assess the stability of open stopes in different underground conditions, and it has an impact on evaluating the safety of underground excavations. With the development of technology and growing experience in applying computer sciences in various research disciplines, mining engineering could significantly benefit by using Machine Learning. Applying those ML algorithms to predict the stability of open stopes in underground excavations is a new approach that could replace the original graph method and should be investigated. In this research, a Potvin database …

Three Contributions To The Theory And Practice Of Optimizing Compilers, Linxiao Wang

Electronic Thesis and Dissertation Repository

The theory and practice of optimizing compilers gather techniques that, from input computer programs, aim at generating code making the best use of modern computer hardware. On the theory side, this thesis contributes new results and algorithms in polyhedral geometry. On the practical side, this thesis contributes techniques for the tuning of parameters of programs targeting GPUs. We detailed these two fronts of our work below.

Consider a convex polyhedral set P given by a system of linear inequalities A*x <= b, where A is an integer matrix and b is an integer vector. We are interested in the integer hull P_I of P which is the smallest convex polyhedral set that contains all the integer points in P. In Chapter …

A Torsion-Based Rheometer For Measuring Viscoelastic Material Properties, Merrill E. Asp, Elise Jutzeler, Jakub Kochanowski, Katherine Kerr, Dawei Song, Sarthak Gupta, Robert Carroll, Alison E. Patteson

Physics - All Scholarship

Rheology and the study of viscoelastic materials are an integral

part of engineering and the study of biophysical systems. Tissue rheology is even

used in the study of cancer and other diseases. However, the cost of a rheometer is

feasible only for colleges, universities, and research laboratories. Even if a rheometer

can be purchased, it is bulky and delicately calibrated, limiting its usefulness to the

laboratory itself. The design presented here is less than a tenth of the cost of a

professional rheometer. The design is also portable, making it the ideal solution to

introduce viscoelasticity to high school students …

Mgrre_Thinsections_Mgrre-126_1, Mgrre

Thin Sections

No abstract provided.

Mgrre_Thinsections_Mgrre-126_2, Mgrre

Thin Sections

No abstract provided.

Mgrre_Thinsections_Mgrre-126_3, Mgrre

Thin Sections

No abstract provided.

Mgrre_Thinsections_Mgrre-126_5, Mgrre

Thin Sections

No abstract provided.

Mgrre_Thinsections_Mgrre-126_6, Mgrre

Thin Sections

No abstract provided.

Mgrre_Thinsections_Mgrre-126_7, Mgrre

Thin Sections

No abstract provided.

Mgrre_Thinsections_Mgrre-126_9, Mgrre

Thin Sections

No abstract provided.

Mgrre_Thinsections_Mgrre-126_10, Mgrre

Thin Sections

No abstract provided.

Mgrre_Thinsections_Mgrre-126_14, Mgrre

Thin Sections

No abstract provided.

Mgrre_Thinsections_Mgrre-126_13, Mgrre

Thin Sections

No abstract provided.

Mgrre_Thinsections_Mgrre-126_17, Mgrre

Thin Sections

No abstract provided.

Mgrre_Thinsections_Mgrre-126_18, Mgrre

Thin Sections

No abstract provided.

Mgrre_Thinsections_Mgrre-126_19, Mgrre

Thin Sections

No abstract provided.

Mgrre_Thinsections_Mgrre-126_21, Mgrre

Thin Sections

No abstract provided.