Physical Sciences and Mathematics Commons^™

Winnability Of The Group Labeling Lights Out Game On Complete Bipartite Graphs, Christian J. Miller

McNair Scholars Manuscripts

For an arbitrary graph, we can play Lights Out on it if we assign a number label to each of the vertices of a graph G, representing states of on/off in the original Lights Out game, with the edges connecting those vertices representing the buttons that are adjacent to each other. This project is focused on a slightly modifed version of the game's original rules, with the labels for the vertices coming from the group Zn. It is not always possible to win the game. We will be investigating the values of n for which this group labeling "Lights Out!" …

Technical Report 2019-01: Pupil Labs Eye Tracking User Guide, Joan D. Gannon, Augustine Ubah, Chris Dancy

Other Faculty Research and Publications

No abstract provided.

Fast Forensic Triage Using Centralised Thumbnail Caches On Windows Operating Systems, Sean Mckeown, Gordon Russell, Petra Leimich

Journal of Digital Forensics, Security and Law

A common investigative task is to identify known contraband images on a device, which typically involves calculating cryptographic hashes for all the files on a disk and checking these against a database of known contraband. However, modern drives are now so large that it can take several hours just to read this data from the disk, and can contribute to the large investigative backlogs suffered by many law enforcement bodies. Digital forensic triage techniques may thus be used to prioritise evidence and effect faster investigation turnarounds. This paper proposes a new forensic triage method for investigating disk evidence relating to …

Improved Decay Tolerant Inference Of Previously Uninstalled Computer Applications, Oluwaseun Adegbehingbe, James Jones

Journal of Digital Forensics, Security and Law

When an application is uninstalled from a computer system, the application’s deleted file contents are overwritten over time, depending on factors such as operating system, available unallocated disk space, user activity, etc. As this content decays, the ability to infer the application’s prior presence, based on the remaining digital artifacts, becomes more difficult. Prior research inferring previously installed applications by matching sectors from a hard disk of interest to a previously constructed catalog of labeled sector hashes showed promising results. This prior work used a white list approach to identify relevant artifacts, resulting in no irrelevant artifacts but incurring the …

Memoryranger Prevents Highjacking File_Object Structures In Windows Kernel, Igor Korkin

Journal of Digital Forensics, Security and Law

Windows OS kernel memory is one of the main targets of cyber-attacks. By launching such attacks, hackers are succeeding in process privilege escalation and tampering users’ data by accessing kernel-mode memory. This paper considers a new example of such an attack, which results in access to the files opened in an exclusive mode. Windows built-in security features prevent such a legal access, but attackers can circumvent them by patching dynamically allocated objects. The research shows that the newest Windows 10 x64 is vulnerable to this attack. The paper provides an example of using MemoryRanger, a hypervisor- based solution to prevent …

Symmetric Inkball Alignment With Loopy Models, Nicholas Howe, Ji Won Chung

Computer Science: Faculty Publications

Alignment tasks generally seek to establish a spatial correspondence between two versions of a text, for example between a set of manuscript images and their transcript. This paper examines a different form of alignment problem, namely pixel-scale alignment between two renditions of a handwritten word or phrase. Using loopy inkball graph models, the proposed technique finds spatial correspondences between two text images such that similar parts map to each other. The method has applications to word spotting and signature verification, and can provide analytical tools for the study of handwriting variation.

How To Assign Grades To Tasks So As To Maximize Student Efforts, Laxman Bokati, Vyacheslav Kalashnikov, Nataliya Kalashnykova, Olga Kosheleva, Vladik Kreinovich

Departmental Technical Reports (CS)

In some classes, students want to get a desired passing grade (e.g., C or B) by spending the smallest amount of effort. In such situations, it is reasonable for the instructor to assign the grades for different tasks in such a way that the resulting overall student's effort is the largest possible. In this paper, we show that to achieve this goal, we need to assign, to each task, the number of points proportional to the efforts needed for this task.

Living Shorelines: Barriers And Promotion: Accomack County, Va, Amy Belcher, Rhiannon Bezore, Michelle Covi, Wie Yusuf

Presentations, Lectures, Posters, Reports

Living shorelines can offer shoreline protection for low energy shorelines as well as providing ecoservices such as purifying water, buffering against floods, and attracting wildlife. This report highlights key benefits, possible barriers and solutions, and ideas for their promotion. Recommendations for implementing living shorelines are included for Accomack County, Virginia to aid in increasing awareness and utilization of living shorelines.

Bourbon Virus In Wild And Domestic Animals, Missouri, Usa, 2012–2013, Katelin C. Jackson, Thomas Gidlewski, J. Jeffrey Root, Angela M. Bosco-Lauth, R. Ryan Lash, Jessica R. Harmon, Aaron C. Brault, Nicholas A. Panella, William L. Nicholson, Nicholas Komar

United States Department of Agriculture Wildlife Services: Staff Publications

Bourbon virus (BRBV) was first isolated from a febrile patient with a history of tick bites in Bourbon County, Kansas, USA; the patient later died from severe illness in 2014 (1). Several additional human BRBV infections were reported subsequently from the midwestern and southern United States (2). BRBV belongs to the family Orthomyxoviridae, genus Thogotovirus, which is distributed worldwide and includes Araguari, Aransas Bay, Dhori, Jos, Thogoto, and Upolu viruses (1,3). Thogoto and Dhori viruses have been associated with human disease (4–6). Viruses within the genus Thogotovirus have been associated with hard or soft ticks (7). Recent studies suggest that …

Predicting Functional Responses In Agro-Ecosystems From Animal Movement Data To Improve Management Of Invasive Pests, Mark Q. Wilber, Sarah M. Chinn, James C. Beasley, Raoul K. Bourghton, Ryan K. Brooks, Stephen S. Ditchkoff, Justin W. Fischer, Steve B. Hartley, Lindsey K. Holmstrom, John C. Kilgo, Jesse S. Lewis, Ryan S. Miller, Nathan P. Snow, Kurt C. Vercauteren, Samantha M. Wisely, Colleen T. Webb, Kim M. Peen

United States Department of Agriculture Wildlife Services: Staff Publications

Functional responses describe how changing resource availability affects con- sumer resource use, thus providing a mechanistic approach to prediction of the invasibility and potential damage of invasive alien species (IAS). However, functional responses can be context dependent, varying with resource characteristics and availability, consumer attributes, and environmental variables. Identifying context dependencies can allow invasion and damage risk to be predicted across different ecoregions. Understanding how ecological factors shape the functional response in agro-ecosystems can improve predictions of hotspots of highest impact and inform strategies to mitigate damage across locations with varying crop types and avail- ability. We linked heterogeneous movement …

Landscape Factors That Influence European Starling (Sturnus Vulgaris) Nest Box Occupancy At Nasa Plum Brook Station (Pbs), Erie County, Ohio, Usa, Morgan Pfeiffer, Thomas W. Seamans, Bruce N. Buckingham, Bradley F. Blackwell

United States Department of Agriculture Wildlife Services: Staff Publications

During the last decade at NASA Plum Brook Station (PBS), Erie County, Ohio, United States, there has been a nearly 50% decrease in European Starling (Sturnus vulgaris) occupancy (nests with ≥1 egg) of nest boxes designed to be used by starlings. Increased availability of natural cavities, from invertebrate pests, might have altered nest box occupation rates. It was hypothesized that starling nest box occupation rates would be a function of an index of potentially suitable tree cavities for nesting starlings, the semi-colonial nature of breeding starlings, and access to foraging areas (e.g., mowed lawns near buildings). Specifically, it was predicted …

A Technical Overview Of The Kentucky Mesonet, Rezaul Mahmood, Megan Schargorodski, Stuart Foster, Andrew Quilligan

High Plains Regional Climate Center: Personnel Publications

The Kentucky Mesonet is a research-grade weather and climate observing network with redundant sensors that monitors the near-surface atmosphere at 71 locations across Kentucky. The network measures temperature, precipitation, solar radiation, relative humidity, barometric pressure, and wind speed and direction every 5 min, with soil moisture and soil temperature measured every 30 min. In addition, it operates a camera at selected locations. All observations are transmitted via cellular modem every 5 min and become available to the general public through the World Wide Web within seconds after arrival at Kentucky Mesonet’s Network Operations Center. In between arriving at the IT …

Umphlett Qci Sept 2019, Natalie Umphlett

High Plains Regional Climate Center: Personnel Publications

Highlights for the Basin

Temperature and Precipitation Anomalies

Soil Moisture Conditions

Delayed/Prevented Planting

Forage Production

Infrastructure

Temperature

Precipitation

Coulomb Excitation And Transport Properties Of Monolayer Graphene And The Alpha-T3 Lattice, Dipendra Dahal

Dissertations, Theses, and Capstone Projects

In the past few years, I focused my attention in the study of 2D material's behavior, specifically graphene . We investigated several properties of graphene like transmission of particle through a potential barrier and demonstrated the effect of band gap to suppress the Klein tunneling at head on collision, we presented the results to get the criteria of negative refractive index and Klein tunneling through multiple barrier. Next, we have carried out the calculation of polarization function of graphene in the presence of magnetic field. The effect of integer Landau filling factor is shown and the portrayed results are presented …

Confusion And Information Triggered By Photos In Persona Profiles, Joni Salminen, Soon-Gyo Jung, Jisun An, Haewoon Kwak, Lene Nielsen, Bernard J. Jansen

Research Collection School Of Computing and Information Systems

We investigate whether additional photos beyond a single headshot makes a persona profile more informative without confusing the end user. We conduct an eye-tracking experiment and qualitative interviews with digital content creators after varying the persona in photos via a single headshot, a headshot and photo of the persona in different contexts, and a headshot with photos of different people with key persona attributes the gender and age. Findings show that contextual photos provide significantly more persona information to end users; however, showing photos of multiple people engenders confusion and lowers informativeness. Also, as anticipated, viewing additional photos requires more …

Preference Learning And Similarity Learning Perspectives On Personalized Recommendation, Duy Dung Le

Dissertations and Theses Collection (Open Access)

Personalized recommendation, whose objective is to generate a limited list of items (e.g., products on Amazon, movies on Netflix, or pins on Pinterest, etc.) for each user, has gained extensive attention from both researchers and practitioners in the last decade. The necessity of personalized recommendation is driven by the explosion of available options online, which makes it difficult, if not downright impossible, for each user to investigate every option. Product and service providers rely on recommendation algorithms to identify manageable number of the most likely or preferred options to be presented to each user. Also, due to the limited screen …

Exploiting Approximation, Caching And Specialization To Accelerate Vision Sensing Applications, Nguyen Loc Huynh

Dissertations and Theses Collection (Open Access)

Over the past few years, deep learning has emerged as state-of-the-art solutions for many challenging computer vision tasks such as face recognition, object detection, etc. Despite of its outstanding performance, deep neural networks (DNNs) are computational intensive, which prevent them to be widely adopted on billions of mobile and embedded devices with scarce resources. To address that limitation, we
focus on building systems and optimization algorithms to accelerate those models, making them more computational-efficient.
First, this thesis explores the computational capabilities of different existing processors (or co-processors) on modern mobile devices. It recognizes that by leveraging the mobile Graphics Processing …

Pamunkey Indian Reservation Shoreline Management Plan, Donna A. Milligan, C. Scott Hardaway Jr., Christine A. Wilcox

Reports

In 2015, the federal government officially recognized the Pamunkey Indian tribe. The tribe has a reservation located on the Pamunkey River in King William County (Figure 1-1) and is one of the nation's oldest, dating back to 1646 (Encyclopedia Virginia, 2015). The Reservation has about 13 miles of shoreline encompassing about 1,100 acres. According to the National Wetlands Inventory (US Fish and Wildlife Service, 2016), the Reservation has about 80 acres of freshwater emergent wetland and 530 acres of freshwater forested/shrub wetland. Approximately 90 people live on the Reservation and up to 600 people visit in a year.

The goal …

Developing A Monthly Radiative Kernel For Surface Albedo Change From Satellite Climatologies Of Earth's Shortwave Radiation Budget: Cack V1.0, Ryan M. Bright, Thomas L. O'Halloran

Publications

Due to the potential for land-use–land-cover change (LULCC) to alter surface albedo, there is need within the LULCC science community for simple and transparent tools for predicting radiative forcings (ΔF) from surface albedo changes (Δαs). To that end, the radiative kernel technique – developed by the climate modeling community to diagnose internal feedbacks within general circulation models (GCMs) – has been adopted by the LULCC science community as a tool to perform offline ΔF calculations for Δαs. However, the codes and data behind the GCM kernels are not readily transparent, and the climatologies …

Digital Holography Efficiency Experiments For Tactical Applications, Douglas E. Thornton

Theses and Dissertations

Digital holography (DH) uses coherent detection and offers direct access to the complex-optical field to sense and correct image aberrations in low signal-to-noise environments, which is critical for tactical applications. The performance of DH is compared to a similar, well studied deep-turbulence wavefront sensor, the self-referencing interferometer (SRI), with known efficiency losses. Wave optics simulations with deep-turbulence conditions and noise were conducted and the results show that DH outperforms the SRI by 10's of dB due to DH's strong reference. Additionally, efficiency experiments were conducted to investigate DH system losses. The experimental results show that the mixing efficiency (37%) is …

Stability And Application Of The K-Core Dynamical Model To Biological Networks, Francesca Beatrice Arese Lucini

Dissertations, Theses, and Capstone Projects

The objective of the dissertation is to illustrate the importance of the k-core dynamical model, by first presenting the stability analysis of the nonlinear k-core model and compare its solution to the most widely used linear model. Second, I show a real world application of the k-core model to describe properties of neural networks, specifically, the transition from conscious to subliminal perception.

Interplay Of Magnetism, Superconductivity, And Topological Phases Of Matter, Cody Youmans

Dissertations, Theses, and Capstone Projects

Multiband superconducting materials, such as iron pnictides and doped topological insulators, have shown to be particularly promising platforms for realizing unconventional electronic behavior of both fundamental and practical importance. Similarly, new innovations in the engineering of gapped topological phases, like semiconductor based Kitaev chains and topological insulator based heterostructures, have opened new directions for solid-state design. Central to much of the excitement generated by such multifaceted electronic systems is a rich interplay between various inherent structural ordering tendencies and topologically non-trivial properties.

In some classes of pnictides, spin density wave order coexists with superconductivity over a range of doping and …

Semi-Supervised Regression With Generative Adversarial Networks Using Minimal Labeled Data, Greg Olmschenk

Dissertations, Theses, and Capstone Projects

This work studies the generalization of semi-supervised generative adversarial networks (GANs) to regression tasks. A novel feature layer contrasting optimization function, in conjunction with a feature matching optimization, allows the adversarial network to learn from unannotated data and thereby reduce the number of labels required to train a predictive network. An analysis of simulated training conditions is performed to explore the capabilities and limitations of the method. In concert with the semi-supervised regression GANs, an improved label topology and upsampling technique for multi-target regression tasks are shown to reduce data requirements. Improvements are demonstrated on a wide variety of vision …

Lead And Arsenic Contamination In Urban Soils In New York City, Anna Paltseva

Dissertations, Theses, and Capstone Projects

This dissertation examined total and bioaccessible soil lead (Pb) and arsenic (As) concentrations and their accumulation in commonly grown garden vegetables in New York City (NYC) metropolitan area. Direct oral ingestion of contaminated soil and consumption of plants that have accumulated Pb or As from underlying soil are known human exposure pathways in urban garden soils that often contain elevated levels of contaminants. The research had four components: (1) assessment of the variability of bioaccessible Pb in NYC urban soils; (2) field experiments to evaluate Pb stabilization and As mobilization by phosphate and alternative amendments; (3) development of a new …

Muon Capture In Nuclei: An Ab Initio Approach Based On Green's Function Monte Carlo Methods, A. Lovato, N. Rocco, Rocco Schiavilla

Physics Faculty Publications

An ab initio Green’s function Monte Carlo (GFMC) method is introduced for calculating total rates of muon weak capture in light nuclei with mass number A ≤ 12. As a first application of the method, we perform a calculation of the rate in ³H and ⁴He in a dynamical framework based on realistic two- and three-nucleon interactions and realistic nuclear charge-changing weak currents. The currents include one- and two-body terms induced by π-and ρ-meson exchange, and N-to-Δ excitation, and are constrained to reproduce the empirical value of the Gamow-Teller matrix element in tritium. We investigate the sensitivity of …

Key Elements Of Environmental Justice In The Geothermal Power Plant Resistance Movement, Priyo Fajar Santoso, Bevaola Kusumasari

Jurnal Politik

Geothermal energy is currently considered as an environmentally friendly, renewable energy source. However, based on empirical data from various countries, geothermal energy production often results socioecological losses for the host community. Various environmental justice movements have emerged to protect environment by protestesting and providing a counter discourse against the dominant perception that geothermal energy is renewable and environmentally friendly. As Indonesian government put more effort to develop more geothermal power thermal across the country, more reactions also emerge and surprisingly include the critical one. This article aims to look at one of the critical reaction from community to counter the …

Dimensions Of 'Socio' Vulnerabilities Of Advanced Persistent Threats, Mathew Nicho, Christopher D. Mcdermott

All Works

© 2019 University of Split, FESB. Advanced Persistent Threats (APT) are highly targeted and sophisticated multi-stage attacks, utilizing zero day or near zero-day malware. Directed at internetworked computer users in the workplace, their growth and prevalence can be attributed to both socio (human) and technical (system weaknesses and inadequate cyber defenses) vulnerabilities. While many APT attacks incorporate a blend of socio-technical vulnerabilities, academic research and reported incidents largely depict the user as the prominent contributing factor that can weaken the layers of technical security in an organization. In this paper, our objective is to explore multiple dimensions of socio factors …

2019 September - Tennessee Monthly Climate Report, Tennessee Climate Office, East Tennessee State University

Tennessee Climate Office Monthly Report

No abstract provided.

Generating Expensive Relationship Features From Cheap Objects, Xiaogang Wang, Qianru Sun, Tat-Seng Chua, Marcelo Ang

Research Collection School Of Computing and Information Systems

We investigate the problem of object relationship classification of visual scenes. For a relationship object1-predicate-object2 that captures the object interaction, its representation is composed by the combination of object1 and object2 features. As a result, relationship classification models usually bias to the frequent objects, leading to poor generalization to rare or unseen objects. Inspired by the data augmentation methods, we propose a novel Semantic Transform Generative Adversarial Network (ST-GAN) that synthesizes relationship features for rare objects, conditioned on the features from random instances of the objects. Specifically, ST-GAN essentially offers a semantic transform function from cheap object features to expensive …

Detecting Toxicity Triggers In Online Discussions, Hamad Bin Khalifa University, Haewoon Kwak

Research Collection School Of Computing and Information Systems

Despite the considerable interest in the detection of toxic comments, there has been little research investigating the causes -- i.e., triggers -- of toxicity. In this work, we first propose a formal definition of triggers of toxicity in online communities. We proceed to build an LSTM neural network model using textual features of comments, and then, based on a comprehensive review of previous literature, we incorporate topical and sentiment shift in interactions as features. Our model achieves an average accuracy of 82.5% of detecting toxicity triggers from diverse Reddit communities.