Physical Sciences and Mathematics Commons^™

Exposing Students To Stem Careers Through Hands-On Activities With Drones And Robots, Vukica M. Jovanović, George Mcleod, Thomas E. Alberts, Cynthia Tomovic, Otilia Popescu, Tysha Batts, Ms. Mary Louise Sandy

Engineering Technology Faculty Publications

Autonomous robots have been used in a variety of ways from collecting specimen in hazardous environments to space exploration. These robots can be found in various manufacturing systems as Autonomous Guided Vehicles (AGVs) to transport parts and assemblies throughout the manufacturing system. They have also been used as a vehicle to convey design thinking and other STEM-related concepts in mechanical engineering/mechanical engineering technology, electrical engineering/electrical engineering technology, computer science, and computer engineering. Various outreach events have included robotics based activities that engage students in building and programming autonomous robots for the purpose of achieving a specific task. These events are …

Reliability Estimation Of Reciprocating Seals Based On Multivariate Dependence Analysis And It's Experimental Validation, Chao Zhang, Rentong Chen, Shaoping Wang, Yujie Qian, Mileta M. Tomovic

Engineering Technology Faculty Publications

Accurate reliability estimation for reciprocating seals is of great significance due to their wide use in numerous engineering applications. This work proposes a reliability estimation method for reciprocating seals based on multivariate dependence analysis of different performance indicators. Degradation behavior corresponding to each performance indicator is first described by the Wiener process. Dependence among different performance indicators is then captured using D-vine copula, and a weight-based copula selection method is utilized to determine the optimal bivariate copula for each dependence relationship. A two-stage Bayesian method is used to estimate the parameters in the proposed model. Finally, a reciprocating seal degradation …

Improving Stem Recruitment Through A Theme-Based Summer Residential Camp Focused On Sea Level Rise, Vukica M. Jovanović, Balša Terzić, Mujde Erten-Unal, Victoria Hill, George Mcleod, Michelle Covi, David Burdige, Jenifer Alonzo, Justin Mason, Tysha Batts, Cynthia Tomovic

Engineering Technology Faculty Publications

In this paper, the authors present an enrichment program that focuses on Science, Technology, Engineering, and Math (STEM) concepts. The program is named Building Leaders to Advance Science and Technology (BLAST) and is held each summer at three universities across the Commonwealth of Virginia: Old Dominion University, the University of Virginia, and the Virginia Polytechnic Institute. BLAST is sponsored in partnership among these three universities and the Virginia Space Grant Consortium (VSGC), and is funded by the General Assembly of Commonwealth of Virginia. Its main purpose is to expose high school students to topics related to different STEM fields through …

Status Of The Western Australian Pastoral Rangelands 2019: Condition, Trend And Risk, Department Of Primary Industries And Regional Development, Western Australia

Natural resources published reports

The Department of Primary Industries and Regional Development (DPIRD) reports annually on the condition, trend and risk of decline in vegetation condition of pastoral rangelands in Western Australia (WA). This report is based on the information available to the end of September 2019.

Vegetation condition reflects the effects of three main drivers: seasonal quality (the timeliness and amount of rainfall), grazing pressure and fire. Reported trend in vegetation condition was based on remotely sensed vegetation cover for the three or four most productive pasture types in each region and greenness (how much vegetation grew) data. Based on these trend data, …

Status Of The Western Australian Pastoral Rangelands 2018: Condition, Trend And Risk, Department Of Primary Industries And Regional Development, Western Australia

Natural resources published reports

The Department of Primary Industries and Regional Development (DPIRD) reports annually on the condition, trend and risk of pastoral rangelands in Western Australia. This report is based on the information available to the end of 2018.

Vegetation condition reflects the effects of three main drivers: seasonal quality (the timeliness and amount of rainfall), grazing pressure and fire. Trend in vegetation condition was based on remotely sensed vegetation cover (Moderate Resolution Imaging Spectroradiometer, MODIS) and greenness (how much vegetation grew) data, the Western Australian Rangeland Monitoring System (WARMS) on-ground site data, and on-ground traverse data. Based on these trend data, in …

Earthquake Magnitude Prediction Using Support Vector Machine And Convolutional Neural Network, Esther Amfo

Open Access Theses & Dissertations

A deep learning-based method Convolutional Neural Network (CNN) and Support Vector Machine (SVM) for earthquake prediction is proposed. Large-magnitude earthquakes triggered by earthquakes can kill thousands of people and cause millions of dollars worth of economic losses. The accurate prediction of large-magnitude earthquakes is a worldwide problem.

In recent years, deep learning technology that can automatically extract features from mass data has been applied in image recognition, natural language processing, object recognition, etc., with great success. We explore to apply deep learning technology to earthquake prediction, we propose a deep learning method for continuous earthquake prediction using historical seismic events. …

Novel Maximum Entrophy Method For The Average Survival Time Differences Between Two Groups, Joscelyne Guzman - Gonzalez

Open Access Theses & Dissertations

We suggest a Maximum Likelihood estimator for the Average Survival Time Difference between two groups, based on the extra time in which should be added to one group to produce the maximum entropy of the result. The estimator is calculated only from time to event data, does not assume hazard proportionality and provides directly the magnitude of the clinical differences between the groups. Our Monte Carlo simulations show that, even at low sample numbers the estimator is a reliable predictor for the clinical differences between the groups, and therefore can be used to estimate from preliminary data whether or not …

Interactions Of Bacterial Communities With Hydrous Sulfate Minerals In Water-Restricted Gypsic Environments: A Case Study Based In The White Sands National Monument, Brandon Nicholas Lajoie

Open Access Theses & Dissertations

Microbial communities have been commonly found to survive and thrive in arid to hyper-arid gypsic environments that are considered hostile to most other forms of life. The mechanisms through which microbes have conquered these harsh environments remain poorly understood. Here I hypothesize that the microbial communities in water-restricted gypsic settings could benefit in terms of energy and water sources via their interactions with the abundant hydrous sulfate minerals [i.e., gypsum (CaSO4·2H2O)] that build up these niches. Gypsum is of high bio-relevance because its sulfate component may be used as electron acceptor by sulfate-reducing bacteria and the crystallization water may be …

Study Of D-Electron Systems With Fermi-Lowdin Orbital Self-Interaction Correction, Prakash Mishra

Open Access Theses & Dissertations

Density Functional Theory (DFT) is one of the very popular and versatile methods for calculations to study electronic structure, and the accuracy of DFT depends on the approximation used in the exchange-correlation functional. One of the known problems with the approximation is that the widely used density functional approximations (DFA) suffer self-interaction errors. Systems with d-electrons such as transition metal oxides often show deviation of DFT predicted behavior from experimental result. SIE tends to unphysically lower the energies of fractionally occupied state which leads to deviation from piece-wise linear behavior of total energy between two integer occupations. This leads to …

Using Two-Photon Microscopy To Analyze Arabidopsis Thaliana Leaves Under Autophagy Conditions And Second Harmonic Generation In Collagen, Andres Martin Reyes

Open Access Theses & Dissertations

Two-photon microscopy has emerged as a highly efficient and effective imaging tool for biological samples. This can be utilized in studying recently emerging technologies and conditions such as the autophagy process in arabidopsis thaliana leaves and second harmonic generation in collagen. Both of these areas of study utilize the two-photon microscopy practice effectively in uncovering more information of the biological nature of examined samples.

On The Performance Of Variable Selection And Classification Via Rank-Based Classifier, Md Showaib Rahman None Sarker

Open Access Theses & Dissertations

In high-dimensional gene expression data analysis, the accuracy and reliability of cancer classification and selection of important genes play a very crucial role. To identify these important genes and predict future outcomes (tumor vs. non-tumor), various methods have been proposed in the literature. But only few of them take into account correlation patterns and grouping effects among the genes. In this article, we propose a rank-based modification of the popular penalized logistic regression procedure based on a combination of l1 and l2 penalties capable of handling possible correlation among genes in different groups. While the l1 penalty maintains sparsity, the …

On A Generalization Of A Theorem Of Ibukiyama, Brad Isaacson

Publications and Research

We generalize a theorem of Ibukiyama and express periodic generalized Bernoulli functions by generalized Bernoulli numbers. As a corollary, we obtain formulas expressing these character sums by generalized Bernoulli numbers using only elementary methods from algebra and number theory.

Learning To Grasp In Unstructured Environments With Deep Convolutional Neural Networks Using A Baxter Research Robot, Shehan Caldera

Theses: Doctorates and Masters

Recent advancements in Deep Learning have accelerated the capabilities of robotic systems in terms of visual perception, object manipulation, automated navigation, and human-robot collaboration. The capability of a robotic system to manipulate objects in unstructured environments is becoming an increasingly necessary skill. Due to the dynamic nature of these environments, traditional methods, that require expert human knowledge, fail to adapt automatically. After reviewing the relevant literature a method was proposed to utilise deep transfer learning techniques to detect object grasps from coloured depth images. A grasp describes how a robotic end-effector can be arranged to securely grasp an object and …

Projected Sea Level Rise And The Conservation Ecology Of The Micronesian Megapode (Megapodius Laperouse Senex) In Palau, Micronesia, Paul M. Radley

Theses: Doctorates and Masters

Climate change has been a subject of numerous studies. While findings suggest that most biological taxa will be affected by its manifestations, aspects of a species life history may increase its susceptibility to climate change. Given their reliance on environmental sources of heat to incubate their eggs, I examined the vulnerability to climate change of the avian family Megapodiidae. I also assessed habitat use, susceptibility to sea level rise, and the effect of introduced rats and tourist presence, as added stressors to climate change, on the Micronesian Megapode (Megapodius

laperouse senex) in Palau.

Based on available literature, I …

Chemical Composition And Toxicity Of Emissions From Burning Five Vegetation Types Of Western Australia Under Experimental Combustion Conditions, T T Trang Dong

Theses: Doctorates and Masters

This study investigated the emission factors (EFs) for inorganic gases (CO2, CO, SO2, NO and NO2), carbonyls (formaldehyde, acetaldehyde, acetone, propionaldehyde, butyraldehyde and benzaldehyde), volatile organic compounds (VOCs) and particulate matter (PM2.5 and PM10) from laboratory-based fires of vegetation from five typical vegetation types of Western Australia. Species burnt were three grasslands (Spinifex represented by Triodia basedowii, Kimberley grass represented by Sehima nervosum and Heteropogon contortus, and an invasive grass represented by Ehrharta calycina (Veldt grass)), Banksia woodland and Jarrah forest under different combustion conditions. Chemical composition (water-soluble metals and polycyclic aromatic hydrocarbons – PAHs) and in vitro toxicity …

Gamma Irradiation Response Of Photonic Crystal And Standard Optical Fibre Bragg Grating Sensors For Radiation Dosimetry, Desmond Baccini

Theses: Doctorates and Masters

This study investigates the use of Optical Fibre Bragg Grating Sensors (FBGs) for Gamma Radiation Dosimetry. A comparative analysis of responses to gamma irradiation between standard commercial FBGs and new generation FBGs written in Photonic Crystal fibre (PCF) were examined under similar regimes and conditions. Current research suggests that the FBGs performance, when exposed to Cobalt-60 gamma irradiation, can suffer cross sensitivity problems resulting from different external effects such as temperature. However, FBGs written in PCFs may be able to overcome these problems due to their design, flexibility of the shape, and size of the micro-holes in a PCF.

Previous …

Reply To Commentary By R Duggleby (2019), Edward J. Steele, Shirwan Al-Mufti, Kenneth Augustyn, Rohana Chandrajith, John P. Coghlan, S. G. Coulson, Et Al.

Michigan Tech Publications, Part 1

No abstract provided.

The Export Flux Of Particulate Organic Carbon Derived From 210po/210pb Disequilibria Along The North Atlantic Geotraces Ga01 Transect: Geovide Cruise, Yi Tang, Nolwenn Lemaitre, Maxi Castrillejo, Montserrat Roca-Martí, Pere Masqué, Gillian Stewart

Research outputs 2014 to 2021

The disequilibrium between 210Po activity and 210Pb activity in seawater samples was determined along the GEOTRACES GA01 transect in the North Atlantic during the GEOVIDE cruise (May-June 2014). A steady-state model was used to quantify vertical export of particulate 210Po. Vertical advection was incorporated into one version of the model using time-averaged vertical velocity, which had substantial variance. This resulted in large uncertainties for the 210Po export flux in this model, suggesting that those calculations of 210Po export fluxes should be used with great care. Despite the large uncertainties, there is no question that the deficits of 210Po in the …

Simulating Rewetting Events In Intermittent Rivers And Ephemeral Streams: A Global Analysis Of Leached Nutrients And Organic Matter, Oleksandra Shumilova, Dominik Zak, Thibault Datry, Daniel Von Schiller, Roland Corti, Arnaud Foulquier, Biel Obrador, Klement Tockner, Daniel C. Allan, Florian Altermatt, María Isabel Arce, Shai Arnon, Damien Banas, Andy Banegas‐Medina, Erin Beller, Melanie L. Blanchette, Juan F. Blanco‐Libreros, Joanna Blessing, Iola Gonçalves Boëchat, Kate Boersma, Michael T. Bogan, Núria Bonada, Nick R. Bond, Kate Brintrup, Andreas Bruder, Ryan Burrows, Tommaso Cancellario, Stephanie M. Carlson, Sophie Cauvy‐Fraunié, Núria Cid, Michael Danger, Bianca De Freitas Terra, Anna Maria De Girolamo, Ruben Del Campo, Fiona Dyer, Arturo Elosegi, Emile Faye, Catherine Febria, Ricardo Figueroa, Brian Four, Mark O. Gessner, Pierre Gnohossou, Rosa Gómez Cerezo, Lluís Gomez‐Gener, Manuel A.S. Graça, Simone Guareschi, Björn Gücker, Jason L. Hwan, Skhumbuzo Kubheka, Simone Daniela Langhans, Catherine Leigh, Chelsea J. Little, Stefan Lorenz, Jonathan Marshall, Angus Mcintosh, Clara Mendoza‐Lera, Elisabeth Irmgard Meyer, Marko Miliša, Musa C. Mlambo, Marcos Moleón, Peter Negus, Dev Niyogi, Athina Papatheodoulou, Isabel Pardo, Petr Paril, Vladimir Pešić, Pablo Rodriguez‐Lozano, Robert J. Rolls, Maria Mar Sanchez‐Montoya, Ana Savić, Alisha Steward, Rachel Stubbington, Amina Taleb, Ross Vander Vorste, Nathan Waltham, Annamaria Zoppini, Christiane Zarfl

Research outputs 2014 to 2021

Climate change and human pressures are changing the global distribution and the extent of intermittent rivers and ephemeral streams (IRES), which comprise half of the global river network area. IRES are characterized by periods of flow cessation, during which channel substrates accumulate and undergo physico‐chemical changes (preconditioning), and periods of flow resumption, when these substrates are rewetted and release pulses of dissolved nutrients and organic matter (OM). However, there are no estimates of the amounts and quality of leached substances, nor is there information on the underlying environmental constraints operating at the global scale. We experimentally simulated, under standard laboratory …

Effective Plant Discrimination Based On The Combination Of Local Binary Pattern Operators And Multiclass Support Vector Machine Methods, Vi N T Le, Beniamin Apopei, Kamal Alameh

Research outputs 2014 to 2021

Accurate crop and weed discrimination plays a critical role in addressing the challenges of weed management in agriculture. The use of herbicides is currently the most common approach to weed control. However, herbicide resistant plants have long been recognised as a major concern due to the excessive use of herbicides. Effective weed detection techniques can reduce the cost of weed management and improve crop quality and yield. A computationally efficient and robust plant classification algorithm is developed and applied to the classification of three crops: Brassica napus (canola), Zea mays (maize/corn), and radish. The developed algorithm is based on the …

Microstructure Evolution And Electrochemical Properties Of Tio 2 /Ti-35nb-2ta-3zr Micro/Nano-Composites Fabricated By Friction Stir Processing, Hao Gu, Zihao Ding, Zhi Yang, Weiqiang Yu, Wenjie Zhang, Weijie Lu, Lai-Chang Zhang, Kuaishe Wang, Liqiang Wang, Yuan-Fei Fu

Research outputs 2014 to 2021

Forming stable anti-corrosion surface layer and homogenized microstructure on the surface of material has become a major challenge in developing biomedical β titanium alloy. In the study, TiO 2 /Ti-35Nb-2Ta-3Zr anti-corrosion micro/nano-composites with different amount of TiO 2 particles were successfully fabricated by one-pass friction stir processing (FSP). The composition, microstructure and electrochemical properties of the material are characterized systematically. In particular, compact passive oxide films formed on surface of the material after electrochemical corrosion are elaborated from constituent, thickness and structural characteristics. Furthermore, the relationship between various FSP parameters, microstructure presented and corresponding corrosion resistance has been discussed in …

Integration Of Biometrics And Steganography: A Comprehensive Review, Ian Mcateer, Ahmed Ibrahim, Guanglou Zhang, Wencheng Yang, Craig Valli

Research outputs 2014 to 2021

The use of an individual’s biometric characteristics to advance authentication and verification technology beyond the current dependence on passwords has been the subject of extensive research for some time. Since such physical characteristics cannot be hidden from the public eye, the security of digitised biometric data becomes paramount to avoid the risk of substitution or replay attacks. Biometric systems have readily embraced cryptography to encrypt the data extracted from the scanning of anatomical features. Significant amounts of research have also gone into the integration of biometrics with steganography to add a layer to the defence-in-depth security model, and this has …

Evaluation Of Incorporating Plastic Wastes Into Asphalt Materials For Road Construction In Ghana, Patricia Nana Ama Asare, Francis Atta Kuranchie, Eric Antwi Ofosu

Research outputs 2014 to 2021

In improving the aesthetics of the environment, the management of plastic wastes cannot be left out of the picture. Among the numerous ways that plastic wastes are managed, incorporating them into plastic roads is another viable option. This study quantified plastic wastes generation in Sunyani Municipality in Ghana and investigated the optimum percentage of asphaltic materials that could be made of plastic wastes for road construction in Ghana. Plastic Wastes were obtained from social gatherings, residential areas and restaurants, there was dialogue with key persons in the plastic industry and various experiments were also conducted for plastic wastes utilization in …

Modeling Organic Carbon Accumulation Rates And Residence Times In Coastal Vegetated Ecosystems, E. Fay Belshe, Jose Sanjuan, Carmen Leiva-Dueñas, Nerea Piñeiro-Juncal, Oscar Serrano, Paul Lavery, Miguel Angel Mateo

Research outputs 2014 to 2021

Coastal vegetated “blue carbon” ecosystems can store large quantities of organic carbon (OC) within their soils; however, the importance of these sinks for climate change mitigation depends on the OC accumulation rate (CAR) and residence time. Here we evaluate how two modeling approaches, a Bayesian age-depth model alone or in combination with a two-pool OC model, aid in our understanding of the time lines of OC within seagrass soils. Fitting these models to data from Posidonia oceanica soil cores, we show that age-depth models provided reasonable CAR estimates but resulted in a 22% higher estimation of OC burial rates when …

Design Of A Hybrid Measure For Image Similarity: A Statistical, Algebraic, And Information-Theoretic Approach, Mohammed Abdulameer Aljanabi, Zahir M. Hussain, Noor Abd Alrazak Shnain, Song Feng Lu

Research outputs 2014 to 2021

Image similarity or distortion assessment is fundamental to a wide range of applications throughout the field of image processing and computer vision. Many image similarity measures have been proposed to treat specific types of image distortions. Most of these measures are based on statistical approaches, such as the classic SSIM. In this paper, we present a different approach by interpolating the information theory with the statistic, because the information theory has a high capability to predict the relationship among image intensity values. Our unique hybrid approach incorporates information theory (Shannon entropy) with a statistic (SSIM), as well as a distinctive …

Analysis, Optimization, And Characterization Of Magnetic Photonic Crystal Structures And Thin-Film Material Layers, Mikhail Vasiliev, Kamal Alameh, Mohammad Alam

Research outputs 2014 to 2021

The development of magnetic photonic crystals (MPC) has been a rapidly evolving research area since the late 1990s. Magneto-optic (MO) materials and the techniques for their characterization have also continually undergone functional and property-related improvements. MPC optimization is a feature-rich Windows software application designed to enable researchers to analyze the optical and magneto-optical spectral properties of multilayers containing gyrotropic constituents. We report on a set of computational algorithms which aim to optimize the design and the optical or magneto-optical spectral analysis of 1D MPC, together with a Windows software implementation. Relevant material property datasets (e.g., the spectral dispersion data for …

The Future Of Blue Carbon Science, Peter Macreadie, Andrea Anton, John A. Raven, Nicola Beaumont, Rod M. Connolly, Daniel A. Friess, Jeffrey J. Kelleway, Hilary Kennedy, Tomohiro Kuwae, Paul Lavery, Catherine E. Lovelock, Dan A. Smale, Eugenia T. Apostolaki, Trishia B. Atwood, Jeff Baldock, Thomas S. Bianchi, Gail L. Chmura, Bradley D. Eyre, James W. Fourqurean, Jason M. Hall-Spencer, Mark Huxham, Iris E. Hendriks, Dorte Krause-Jensen, Dan Laffoley, Tiziana Luisetti, Nuria Marba, Pere Masque´, Karen J. Mcglathery, J. Patrick Megonigal, Daniel Murdiyaso, Bayden D. Russell, Rui Santos, Oscar Serrano, Brian R. Silliman, Kenta Watanabe, Carlos M. Duarte

Research outputs 2014 to 2021

The term Blue Carbon (BC) was first coined a decade ago to describe the disproportionately large contribution of coastal vegetated ecosystems to global carbon sequestration. The role of BC in climate change mitigation and adaptation has now reached international prominence. To help prioritise future research, we assembled leading experts in the field to agree upon the top-ten pending questions in BC science. Understanding how climate change affects carbon accumulation in mature BC ecosystems and during their restoration was a high priority. Controversial questions included the role of carbonate and macroalgae in BC cycling, and the degree to which greenhouse gases …

A Simheuristic Approach For Evolving Agent Behaviour In The Exploration For Novel Combat Tactics, Chiou-Peng Lam, Martin Masek, Luke Kelly, Michael Papasimeon, Lyndon Benke

Research outputs 2014 to 2021

The automatic generation of behavioural models for intelligent agents in military simulation and experimentation remains a challenge. Genetic Algorithms are a global optimization approach which is suitable for addressing complex problems where locating the global optimum is a difficult task. Unlike traditional optimisation techniques such as hill-climbing or derivatives-based methods, Genetic Algorithms are robust for addressing highly multi-modal and discontinuous search landscapes. In this paper, we outline a simheuristic GA-based approach for automatic generation of finite state machine based behavioural models of intelligent agents, where the aim is the identification of novel combat tactics. Rather than evolving states, the proposed …

The Nexus Between Social Impacts And Adaptation Strategies Of Workers To Occupational Heat Stress: A Conceptual Framework, Victor Fannam Nunfam, Kwadwo Adusei-Asante, Eddie John Van Etten, Jacques Oosthuizen, Samuel Adams, Kwasi Frimpong

Research outputs 2014 to 2021

Adverse effects of occupational heat stress in the context of the changing climate on working populations are subtle but considerably harmful. However, social dimensions and impacts of climate change–related occupational heat concerns on workers’ safety and health, productivity and well-being are often overlooked or relegated as minor issues in social impact analyses of occupational heat exposure due to climate change. This paper offers a conceptual framework based on an appraisal and synthesis of the literature on social impacts of climate change–related occupational heat exposure on workers’ safety and health, productivity and social welfare and the quest to localise and achieve …

Toward Collaborative Open Data Science In Metabolomics Using Jupyter Notebooks And Cloud Computing, Kevin M. Mendez, Leighton Pritchard, Stacey N. Reinke, David I. Broadhurst

Research outputs 2014 to 2021

Background

A lack of transparency and reporting standards in the scientific community has led to increasing and widespread concerns relating to reproduction and integrity of results. As an omics science, which generates vast amounts of data and relies heavily on data science for deriving biological meaning, metabolomics is highly vulnerable to irreproducibility. The metabolomics community has made substantial efforts to align with FAIR data standards by promoting open data formats, data repositories, online spectral libraries, and metabolite databases. Open data analysis platforms also exist; however, they tend to be inflexible and rely on the user to adequately report their methods …