Digital Commons Network^™

Guavanet: A Deep Neural Network Architecture For Automatic Sensory Evaluation To Predict Degree Of Acceptability For Guava By A Consumer, Vipul Mehra

Theses

This thesis is divided into two parts:Part I: Analysis of Fruits, Vegetables, Cheese and Fish based on Image Processing using Computer Vision and Deep Learning: A Review. It consists of a comprehensive review of image processing, computer vision and deep learning techniques applied to carry out analysis of fruits, vegetables, cheese and fish.This part also serves as a literature review for Part II.Part II: GuavaNet: A deep neural network architecture for automatic sensory evaluation to predict degree of acceptability for Guava by a consumer. This part introduces to an end-to-end deep neural network architecture that can predict the degree of …

Generation, Verification, And Attacks On Elliptic Curves And Their Applications In Signal Protocol, Tanay Pramod Dusane

Theses

Elliptic curves (EC) are widely studied due to their mathematical and cryptographic properties. Cryptographers have used the properties of EC to construct elliptic curve cryptosystems (ECC). ECC are based on the assumption of hardness of special instances of the discrete logarithm problem in EC. One of the strong merits of ECC is providing the same cryptographic strength with smaller key size compared to other public key cryptosystems. A 256 bit ECC can provide similar cryptographic strength as a 3072 bit RSA cryptosystem. Due to smaller key sizes, elliptic curves are an attractive option in devices with limited storage capacity. It …

Ovals And Niho Bent Functions In Small Dimensions, Rasha M. E. Issa Shat

Theses

In this thesis hyperovals and ovals are considered in the projective plane PG(2,q), q = 2^m even. Traditionally these objects are studied algebraically via o-polynomials. In our work, a different approach is used by means of g-functions. These functions also provide a natural description of Niho bent functions. Using g-functions, all ovals and Niho bent functions are listed up to equivalency for dimensions m ≤ 6.

A Numerical Method For Solving Fuzzy Initial Value Problems, Safa Emad Al-Refai

Theses

In this thesis, the optimized one-step methods based on the hybrid block method (HBM) are derived for solving first and second-order fuzzy initial value problems. The off-step points are chosen to minimize the local truncation error of the proposed methods. Several theoretical properties of the proposed methods, such as stability, convergence, and consistency are investigated. Moreover, the regions of absolute stability of the proposed methods are plotted. Numerical results indicate that the proposed methods have order three and they are stable and convergent. In addition, several numerical examples are presented to show the efficiency and accuracy of the proposed methods. …

Coastal Watershed Monitoring And Management: Geomorphology, Geochemistry, And Hydrologic Modeling Of Los Peñasquitos Creek, Ca, Ravleen Khalsa-Basra

Theses

Rivers in semi-arid climates are directly influenced by local geographic and hydrologic conditions and impacted by modifications to hydrology via urbanization. Changes can influence erosion, morphology, habitat sustainability, and watershed health. In highly urbanized southern California coastal regions, these rare open spaces provide vital ecosystem services. Los Peñasquitos Creek in San Diego County is one such watershed. Using stream surveying and laboratory methods we quantified channel characteristics, grain size distribution, total metal concentration [M], organic carbon (%OC), and phosphate to longitudinally characterize the creek for improved management. Results identified three distinct reaches in the watershed (upper, middle, lower). Downstream, depth …

Otolith Microchemistry Reveals Low Habitat Connectivity Of California Killifish (Fundulus Parvipinnis) Across A Range Of Spatial Scales, Lisa Robison

Theses

As wetlands face continued fragmentation worldwide, an understanding of habitat connectivity and how fishes that rely on these environments is imperative to conduct effective marine management. Site fidelity and habitat connectivity are vital measures of the interdependence of fish populations living in neighboring marshes (or in regions of a single marsh).

Here, we examine the habitat connectivity, site fidelity, and movement of California killifish (Fundulus parvipinnis) within and among three estuaries in Southern California through otolith microelemental analysis. Assessing the site fidelity of estuarine fishes is important to determine the level of connectivity between spatially distinct populations within …

Developing A Method To Track Marine Snow Aggregation Through Individual Collisions Using Stereoscopic Imaging, Riley Henning

Theses

The aggregation of individual phytoplankton into marine snow allows particles to sink more quickly, thus resulting in the transport of particulate organic carbon from surface waters to the deep ocean. Aggregate formation has previously been measured in experiments indirectly by quantifying how particle size or particle concentration changes over time. Here, I present my thesis in which I applied high-resolution imaging to quantify aggregate formation using two different methodologies.

We conducted experiments to investigate aggregate formation using stereoscopic imaging, tracking individual particles directly in a 3D volume. Phytoplankton cultures were rolled in cylindrical tanks and imaged by two cameras illuminated …

Towards Robust Gaze Estimation And Classification In Naturalistic Conditions, Rakshit S. Kothari

Theses

Eye movements help us identify when and where we are fixating. The location under fixation is a valuable source of information in decoding a person’s intent or as an input modality for human-computer interaction. However, it can be difficult to maintain fixation under motion unless our eyes compensate for body movement. Humans have evolved compensatory mechanisms using the vestibulo-ocular reflex pathway which ensures stable fixation under motion. The interaction between the vestibular and ocular system has primarily been studied in controlled environments, with comparatively few studies during natural tasks that involve coordinated head and eye movements under unrestrained body motion. …

Artisanal Mining Impacts In Urbanized Semi-Arid Environments: Lessons From Historic Arsenic Mining Near San Diego, California, James A. Wright

Theses

Anomalously elevated arsenic concentrations occur at an abandoned artisanal mine site in an open space recreational park in urban San Diego County, California. Although mining at the site ceased 100 years ago little to no remediation efforts took place leaving shafts, adits, waste piles and derelict infrastructure accessible by inquisitive hikers and adventurers frequenting Black Mountain Open Space Park. This study evaluates the geochemical mechanisms of As transport downgradient from the mine and examines the contribution of both climate and urbanization on the restriction of As mobility. Sediment As concentrations reach 2,320 mg/kg (483 times background crustal concentrations; n=73) along …

Using Goes-16 To Characterize Thunderstorms : Hail Scar Producing Storms Vs. Non-Hail Scar Producing Storms, Abigail Elizabeth Whiteside

Theses

Every year in North America, severe thunderstorms produce copious amounts of damage to agriculture, infrastructure, and lives. The United States relies heavily on the Next Generation Weather Radar for weather information. The U.S.’s reliance on radar has led to one of the most extensive radar networks in the world. However, this network has gaps in coverage that could put many at risk. Multiple studies have shown that satellite data provides valuable storm information to forecasters. The GOES-R series offers high resolution imagery of cloud tops. An important variable to examine is the overshooting top (OT). One variable that stems from …

Laser-Scribed Graphene Electrodes As Inflammatory Biosensors (Laserflame), Pei Shee Tan

Theses

Laser-scribed graphene electrodes (LSGE) are a low cost, portable, flexible and ideal electrochemical platform approach as point of care biosensors. It is anticipated that integrating the detection of immune cell inflammatory cytokines with LSGEs may present a useful diagnostic platform for managing the risk of inflammatory diseases as early detection of inflammatory molecules could significantly improve the treatment and outcome of diseases induced by protracted inflammation, such as cancer, asthma and rheumatoid arthritis. This study proposed LSGE first time novel use in the detection of an inflammatory cytokine released by immune cells (monocyte THP-1 cell line), with high sensitivity and …

The Great Southern Buy-Back: The Colony Of Western Australia And The Great Southern Railway 1880-1897, Thomas Goode

Theses

This thesis examines the circumstances surrounding the building of the Great Southern Railway as a land-grant railway in the colony of Western Australia in the 1880s and its purchase by the government in 1896. In the early 1880s the steamship companies bringing mail and passengers from overseas and the eastern colonies, preferred Albany to Fremantle, adding an uncomfortable three to four day journey to the capital Perth. To overcome this difficulty, the government proposed to build a railway from Albany to the existing network at Beverley. This railway was to be funded by grants of land to the private company …

Crop Salinity Tolerance Induction Using Novel Biostimulants (Saltibio), Elomofe Ikuyinminu

Theses

Salinity is one of the major abiotic stresses affecting crop production, especially in arid and semi-arid areas. Most of the vegetable crops are salt sensitive, growing inadequately in salinised soils due to the accumulation of toxic ions from prolonged, inadequate irrigation programs. A meaningful approach to counteract salinity stress and increase crop yield is the use of protein hydrolysate biostimulants (PHBs). The main objectives of this study were to generate legume-derived PHBs by enzymatic hydrolysis, evaluate their ability to induce salinity stress tolerance in plants, and understand their mode of action. A full compositional and structural analysis of the generated …

Dynamics Of A Swept Source Laser Under External Injection, Uday Bangavadi Munivenkatappa

Theses

Swept Sources are lasers with a periodically modulated frequency, over a wide scanning range. They are widely used in Optical Coherence Tomography (OCT) for medical imaging and metrology. The narrow instantaneous linewidth of a swept source is required for longer OCT imaging depths. The goal of the project is to investigate the mechanism that deteriorates the coherence of a swept-source laser by analyzing its properties under external injection and investigate the possibilities for a phase-locked laser operation, in order to control the coherence properties. The laser under study was a semiconductor ring fiber-based cavity laser, incorporating a tunable narrow transmission …

Development Of Analytical Methods For The Determination Of Β-Lactam Antibiotic Residues In Meat, Milk And Dairy Products, Melissa Di Rocco

Theses

In this project, analytical methodologies for the determination of β-lactam antibiotic residues in meat and dairy products were developed and validated using ultra-high performance liquid chromatography coupled to tandem mass spectrometry (UHPLC-MS/MS). The methods included the main penicillins, cephalosporins and carbapenems commonly employed in human or veterinary medicine for the treatment of bacterial infections. A multi-residue method for the analysis of 30 β-lactams was developed and validated in bovine muscle using dispersive-solid phase extraction (d-SPE), reversed-phase chromatography and mass spectrometry detection. A number of sorbent materials were assessed for clean-up, and a simple and straightforward sample preparation protocol developed for …

Wavelength Swept Photonic Crystal Laser, Sharon Marie Butler

Theses

Photonics has become integral to society, based on its ability to sense the environment, to manipulate materials and to transport information. The dominance of silicon electronics has made silicon photonics a compelling vision, but difficulties with light emission have caused delays in implementation and an enduring role for III-V materials. The research conducted in this Ph.D. thesis involves study and utilisation of a combination of the optical gain of Indium Phosphide with the precision and energy of silicon nanophotonics in a novel family of lasers. A continuously tunable akinetic reflective filter is exploited to obtain a wavelength swept laser. The …

Predicting, Monitoring And Controlling The Growth Of Listeria In Complex Food Matrices, Laura Mary Nyhan

Theses

Listeria monocytogenes is a foodborne pathogen which is a significant challenge in food production, particularly for ready-to-eat (RTE) products. Incidence of Listeria in RTE foods can be reduced by the application of intelligent combinations of preservative factors or hurdles, while data quantifying the efficacy of hurdle combinations can be exploited and used in the area of predictive microbiology. Traditional culture-based techniques, such as viable plate counts, are commonly used to monitor the growth/survival of microorganisms in foods, however these methods are tedious, time-consuming and due to their destructive nature, are associated with low reproducibility and high variability. Therefore, rapid, non-invasive …

Photoluminescence Properties Of Novel Iii-V Semiconductor Systems, Shumithira Gandan

Theses

Perturbation of the inherent radiation equilibrium in solids by an external energy could engender an emission of the superfluous energy as electromagnetic radiation, or luminescence. Photoluminescence methods precipitate this disintegration of radiation equilibrium often by supplying the external energy as photons with energies higher than the bandgap energy of the solid. Since the excitation energy momentarily transforms the medium before luminescence is emitted, photoluminescence experiments are able to produce diverse and intricate spectroscopic data detailing the optical properties of the solid as a measure of this transformation. The pliability of allowed electron states in semiconductors have instigated bourgeoning research in …

Gender, Role Models, Entrepreneurial Self-Efficacy And Career Intentions: Implications For Entrepreneurial Education, Ciara Marie Lavelle - O Brien

Theses

This thesis explores gender, role models, entrepreneurial self-efficacy and career intentions of secondary school students in Ireland. Most prior research includes entrepreneurial education as an important factor in the decision to start a business. Few studies include the importance of entrepreneurial perceptions, role models, self-efficacy, and career intentions combined and what implications this may have for entrepreneurial education. Previous studies cite the importance of role models for potential entrepreneurs but ignore how the role model is perceived or who the role models of this generation (Gen Z) are. This study used a semistructured questionnaire and the Repertory Grid Technique (RGT) …

Predicting Carcass Cut Yields In Cattle From Digitalimages Using Artificial Intelligence, Darragh Matthews

Theses

Beef carcass classification in Europe is predicated on the EUROP grid for both fatness and conformation. Although this system performs well for grouping visually similar carcasses, it cannot be used to accurately predict meat yields from these groups, especially when considered on an individual cut level. Deep Learning (DL) has proven to be a successful tool for many image classification problems but has yet to be fully proven in a regression scenario using carcass images. Here we have trained DL models to predict carcass cut yields and compared predictions to more standard machine learning (ML) methods. Three approaches were undertaken …

The Role Of Software Engineering In Bioinformatics, Brendan Sean Lawlor

Theses

This thesis proposes that by applying state-of-the-art software engineering tools, techniques and frameworks to currently recognised challenges in bioinformatics, improved outcomes can be attained in that field. It begins by decomposing software engineering into two categories, namely process and architecture, and choosing two key challenges in the practice of bioinformatics: reproducibility and scalability. The body of the thesis is an exploration of the intersection between these two software engineering categories and these two bioinformatics challenges. The question is asked: Can best practices in professional software engineering be applied to address key issues in the bioinformatics domain, creating positive outcomes? And …

The Adult Learner: Nature Or Nurture?: A Case Study Of Teacher Educators And Teacher Learners, Christine Kassis

Theses

Adult learning is very broadly viewed in the literature. The wide-ranging gamut of views, include those that interpret adult learning not dissimilarly to child learning, all the way through to theorists that propose a separate set of considerations for adult learners. When it comes to learning, pedagogy was traditionally associated with child learners and andragogy was born from the need to find a separate niche for the adult learner. As such, pedagogy and andragogy may be positioned opposite to one another—as one pertains to the needs; characteristics; and, behaviours of the child, and the other of the adult learner. These …

The Experiences That Form And Sustain Generation Y Religious Education Coordinators In Catholic Secondary Schools, Dirk Gleghorn

Theses

Students in Western Australian Catholic schools learn about Catholic beliefs and practices in the Religious Education Learning Area. In Catholic secondary schools, Religious Education Coordinators (RECs) are delegated responsibility from principals, to coordinate the teaching of this learning area’s content. RECs are required to be committed Catholics who are active members of the Catholic Church. It is probable that RECs will increasingly be recruited from amongst Generation Y Catholics. For Catholic secondary school principals, recruiting religiously committed Generation Y Catholics into the position of REC will be challenging.

The primary aim of the research is to identify and describe the …

Assessment Of Performance Parameter Uncertainty Of A Solid Fuel Ramjet, William Jarrett Hankins

Theses

This research develops a methodology for quantifying the uncertainties in key experimentally determined performance parameters for two solid fuel ramjet propellants in a connected pipe ramjet using the Monte Carlo Method. The performance parameters include characteristic velocity, characteristic velocity efficiency, thrust, specific impulse, and vacuum specific impulse. The burning rate equations and their uncertainty intervals were also calculated. Burning rate equations were constructed with terms in air flux and air temperature. The uncertainty intervals were found to be 4% - 5.1% at the test points. The burning rates were found to be accurate within ± 7.7%. Uncertainties in the performance …

Elucidation Of Multi-Origin Inula Helenium L. For Antimicrobial Activity And Heavy Metal Profiling As An Exemplar For The Use And Regulation Of Plants As Antibiotics., Ciara Ruth Kenny

Theses

An impending post-antibiotic era looms, thus new sources of therapeutic chemical entities are crucial to sustain effective antimicrobial chemotherapy worldwide. Plant natural products are a source of accessible, structurally diverse compounds that provide therapeutic potential. The pharmacological applications of plants in medicine can be guided by the attestation of traditional use or the application of this knowledge to uncover new leads in the drug discovery process. The range of modified in vitro methods commonly used to investigate preclinical antimicrobial efficacy of plant-derived natural products, and the associated limitations and challenges in the provision of new antimicrobial drugs from plants is …

Accelerating Transitive Closure Of Large-Scale Sparse Graphs, Sanyamee Milindkumar Patel

Theses

Finding the transitive closure of a graph is a fundamental graph problem where another graph is obtained in which an edge exists between two nodes if and only if there is a path in our graph from one node to the other. The reachability matrix of a graph is its transitive closure. This thesis describes a novel approach that uses anti-sections to obtain the transitive closure of a graph. It also examines its advantages when implemented in parallel on a CPU using the Hornet graph data structure.

Graph representations of real-world systems are typically sparse in nature due to lesser …

Treated Hfo2 Based Rram Devices With Ru, Tan, Tin As Top Electrode For In-Memory Computing Hardware, Yuvraj Dineshkumar Patel

Theses

The scalability and power efficiency of the conventional CMOS technology is steadily coming to a halt due to increasing problems and challenges in fabrication technology. Many non-volatile memory devices have emerged recently to meet the scaling challenges. Memory devices such as RRAMs or ReRAM (Resistive Random-Access Memory) have proved to be a promising candidate for analog in memory computing applications related to inference and learning in artificial intelligence. A RRAM cell has a MIM (Metal insulator metal) structure that exhibits reversible resistive switching on application of positive or negative voltage. But detailed studies on the power consumption, repeatability and retention …

Automatic Pain Assessment Through Facial Expressions, Ilham Seladji

Theses

Pain is a strong symptom of diseases. Being an involuntary unpleasant feeling, it can be considered as a reliable indicator of health issues. Pain has always been expressed verbally, but in some cases, traditional patient self-reporting is not efficient. On one side, there are patients who have neurological disorders and cannot express themselves accurately, as well as patients who suddenly lose consciousness due to an abrupt faintness. On another side, medical staff working in crowded hospitals need to focus on emergencies and would opt for the automation of the task of looking after hospitalized patients during their entire stay, in …

A Comparative Study On Statistical And Machine Learning Forecasting Methods For An Fmcg Company, Zenah Yaser Alzubaidi

Theses

Demand forecasting has been an area of study among scholars and businessmen ever since the start of the industrial revolution and has only gained focus in recent years with the advancements in AI. Accurate forecasts are no longer a luxury, but a necessity to have for effective decisions made in planning production and marketing. Many aspects of the business depend on demand, and this is particularly true for the Fast-Moving Consumer Goods industry where the high volume and demand volatility poses a challenge for planners to generate accurate forecasts as consumer demand complexity rises. Inaccurate demand forecasts lead to multiple …

On The Effective Finite Element Simplification Of Bolted Joints: Static And Modal Analyses, Abdulrahman Mohammad Ibrahim

Theses

In this paper, the finite element simplification of a standard bolted joint configuration is investigated. Static and modal analyses of a 3D model are used for benchmarking three different simplified finite element models using Siemens NX software. More specifically, the three simplified finite element models utilize beam elements, spring elements and a coupled shell-beamspring elements model. Four margin of safety criteria with respect to slipping, gapping, yield strength and ultimate strength were evaluated. Results show comparable values in the yield and ultimate margins of safety of all three simplified finite element models. Additionally, a parametric analysis relative to bolt size …