Digital Commons Network^™

Analysis Of Turkey Reovirus Using Machine Learning, Maryam Kafikang

Open Access Master's Theses

Avian reoviruses continue to cause disease in turkeys with varied pathogenicity and tissue tropism. Turkey enteric reovirus (TERV) has been identified as a causative agent of enteritis or inapparent infections in turkeys. The new emerging variants of turkey reovirus tentatively named as turkey arthritis reovirus (TARV) and turkey hepatitis reovirus (THRV) are linked to tenosynovitis/arthritis and hepatitis, respectively. Turkey arthritis and hepatitis reoviruses are causing significant economic losses to the turkey industry. These infections can lead to poor weight gain, uneven growth, poor feed conversion, increased morbidity and mortality, and reduced marketability of commercial turkeys. To combat these issues, it …

Neural Network Based Generation Of Radar Heatmaps For Advanced Driver Assistance Systems (Adas), Angela Klassen

Open Access Master's Theses

Radar sensors are an essential component of Advanced Driver Assistance Systems (ADAS). They use radio waves to monitor the surroundings of a vehicle, capturing data that can be utilized to provide assistance to the driver. Major challenges of this procedure are the high complexity and the considerable power consumption that the transfer of radar data to subsequent processing units requires. This work addresses these issues by using deep learning architectures to compress the raw data captured by radar before it is being transmitted. As proceeding step so-called Range-Angle (RA) Heatmaps are reconstructed from the compressed data. These heatmaps present an …

Navigating The Void: Uncovering Research Gaps In The Detection Of Data Poisoning Attacks In Federated Learning-Based Big Data Processing: A Systematic Literature Review, Mohammad Aljanabi, Hijaz Ahmad

Mesopotamian Journal of Big Data

This systematic literature review scrutinizes the landscape of research at the intersection of federated learning, big data processing, and data poisoning attacks. Employing a meticulous search strategy across multiple databases, the studyunveils a surge in annual scientific production, emphasizing a growing interest in federated learning and related fields. However, a critical research gap becomes evident during the investigation of data poisoning attacks specifically in the context of federated learning when processing big data. The most relevant keywords and a visually compelling word cloud further illuminate the prevailing themes and emphases within the literature, emphasizing the lack of explicit focus on …

Design And Development Of Hybrid Spectrum Access Technique For Cr-Iot Network, Sandeep Singh

Mesopotamian Journal of Computer Science

The radio spectrum is an underutilized natural resource with significant untapped potential. The rapid proliferation of Internet of Things (IoT) devices is driving a dramatic increase in radio spectrum demand. These devices can utilize cognitive radio (CR) technology to access the bandwidth left unused by licensed spectrum users, also known as primary users (PUs), to meet end users spectrum requirements efficiently. However, because PUs are given priority, CR-enabled Internet of Things (CR-IoT) devices, also known as secondary users (SU), must frequently communicate with one another in an opportunistic manner or under stringent power constraints. This can complicate CR-IoT device communication, …

Role Of Chatgpt In Computer Programming., Som Biswas

Mesopotamian Journal of Computer Science

Purpose: The purpose of this abstract is to outline the role and capabilities of ChatGPT, a language model developed by OpenAI for computer programming. Methodology: ChatGPT is a large language model that has been trained on a diverse range of texts and can perform a variety of programming-related tasks. These tasks include code completion and correction, code snippet prediction and suggestion, automatic syntax error fixing, code optimization and refactoring suggestions, missing code generation, document generation, chatbot development, text-to-code generation, and answering technical queries. Results: ChatGPT can provide users with explanations, examples, and guidance to help them understand complex concepts and …

The Ethical Implications Of Dall-E: Opportunities And Challenges, Kai-Qing Zhou, Hatem Nabus

Mesopotamian Journal of Computer Science

Artificial intelligence (AI) images, like those produced by DALL-E, have seen explosive growth in the past several years and have the potential to disrupt numerous markets. While the technology offers exciting opportunities for creativity and innovation, it also raises important ethical considerations that must be addressed. These ethical implications include issues related to bias and discrimination, privacy, job displacement, and unintended consequences. To mitigate these challenges, a multi-disciplinary approach is needed, including the development of effective regulations and governance frameworks, the creation of unbiased algorithms, responsible data management practices, and educational and training programs. Additionally, encouraging ethical discussions and debates …

Infusing K-Means For Securing Iot Services In Edge Computing, Tam Sakirin, Iqra Asif

Mesopotamian Journal of Computer Science

Accurate, timely, and safe administration of data from IoT devices is made possible by intelligent computing. As the number of IoT devices proliferates, more and more data will be collected, adding depth and breadth to the existing range of IoT services. Technology that incorporates entire systems on a single integrated circuit has improved to the point where more and more consumer electronics can support full-fledged operating systems. It is impractical to use a single computing model for the entire planet since doing so would cause severe network congestion and security holes. In order to solve this problem, we present a …

Enhancing Hybrid Spectrum Access In Cr-Iot Networks: Reducing Sensing Time In Low Snr Environments, Nthatisi Margaret Hlapisi

Mesopotamian Journal of Computer Science

The current utilization of the licensed spectrum band is not optimal. the abundance of Internet of Things (IoT) gadgets could lead to congestion in the unlicensed spectrum band. A potential solution is to integrate cognitive radios into IoT devices, specifically by developing CR-IoT (cognitive-radio-enabled IoT) devices that leverage the hybrid spectrum access (HSA) technique to access the licensed spectrum band and employ energy detectors for spectrum sensing. While HSA can enable high data throughput for CR-IoT networks, environments with low signal-to-noise ratio (SNR) may experience reduced performance. Particularly, in low SNR environments with SNR values ranging from -20dB to -24dB, …

Predicting Carbon Dioxide Emissions With The Orange Application: An Empirical Analysis, Israa Ezzat, Alaa Wagih Abdulqader

Mesopotamian Journal of Computer Science

The effects of climate change, such as droughts, storms, and extreme weather, are increasingly being felt around the world. Greenhouse gases are the primary contributors to climate change, with carbon dioxide (CO2) being the most significant. In fact, CO2 accounts for a significant percentage of all greenhouse gas emissions. As a result, reducing CO2 emissions has become a critical priority for mitigating the impacts of climate change and preserving our planet for future generations. Based on simulation and data mining technologies that use historical data, CO2 is expected to continue to rise. Around the world, 80% of CO2 emissions come …

Student’S Rating System For Teachers: A Tool For Teacher Scheduling Consideration, Naomi Bajao, Jose Primo Bardoquillo, Jhay Concha, Mae Fatima Monsanto, Ma.Chrisfie Karen Mojar

Mesopotamian Journal of Computer Science

The end-of-term ratings are one of the most crucial components of improving educational institutions' ability to assess teachers' performance. The paper-based evaluation system for teachers at Cebu Technological University's Tuburan Campus is time-consuming and laborious.  During the flexible learning, the school uses Google Forms to create surveys to rate the teachers which also has shortcomings since Google Forms has limited functions. To solve these issues, the proponents created a web-based evaluation system that makes it simple for students to rate their professors and generates evaluation reports at ease. Additionally, the system gives the system administrator the ability to control colleges, …

The Evolving Role Of Artificial Intelligence In The Future Of Distance Learning: Exploring The Next Frontier, Maad M. Mijwil, Guma Ali, Emre Sadıkoğlu

Mesopotamian Journal of Computer Science

In recent years, education has become especially related to the applications provided by artificial intelligence technology through a digital environment that includes a set of tools that assist in processing and storing information. Artificial intelligence techniques contribute to the development of students' skills by providing them with advanced scientific content and building their mental capabilities faster. Moreover, these techniques support analysing student data and suggest suitable educational materials and activities for them. Artificial intelligence is a noteworthy tool for the growth of distance education, especially after the development of expert systems that have become a human advisor in many domains, …

Machine Learning Application On Employee ‎Promotion, Muhannad Ilwani, Ghalia Nassreddine, Joumana Younis

Mesopotamian Journal of Computer Science

Any company's most valuable asset, its workforce, is its employees. As a result, the company's primary goal should be to develop an excellent strategy for supporting and investing in its employees and staff by providing the best training and development. Employee Promotion denotes the advancement of an employee's rank. It raises the salary, position, duties, and benefits. It is a part of the job that propels employees to the highest commitment and loyalty to their organizations. Employee morale and loyalty are two critical components of any successful business. Employee promotion is the key to improving employee performance and engagement. It …

Clustering Algorithms And Comparisons In Vehicular Ad Hoc Networks, Radhakrishna Karne, Sreeja Tk

Mesopotamian Journal of Computer Science

Vehicular Ad hoc Network (VANET) is a new era in the transmission of dynamic information across communities. Intelligent Transportation Systems is only one of the many applications for VANET (ITS). The topology of VANET is extremely dynamic, and connections are irregular. These features cause information transmission in the VANET to be unreliable. Vehicle clustering is a successful strategy to increase the network's scalability and connection dependability. Characteristics of the VANET have an impact on clustering performance as well. An extensive explanation of VANET clustering algorithms is given in this article. A complete evaluation of clustering in VANETs is provided based …

Artificial Neural Networks: An Overview, Roheen Qamar, Baqar Ali Zardari

Mesopotamian Journal of Computer Science

Neural networks, also known as artificial neural networks (ANNs) or artificially generated neural networks (SNNs) are a subset of machine learning that provide the foundation of deep learning techniques. Their name and form are inspired by the human brain, and they replicate the way real neurons communicate with one another. Artificial neural networks (ANNs) are massively parallel systems comprised of a huge number of interconnected basic processors. This paper discuss about the artificial neural network and its basic types. This article explains the ANN and its basic outlines the fundamental neuron and the artificial computer model. It describes network structures …

Data-Integrity Aware Stochastic Model For Cascading Failures In Power Grids, Rezoan Ahmed Shuvro, Pankaz Das, Jamir Shariar Jyoti, Joana M. Abreu, Majeed M. Hayat

Electrical and Computer Engineering Faculty Research and Publications

The reliable operation of power grids during cascading failures is heavily dependent on the interdependencies between the power grid components and the supporting communications and control networks. Moreover, the system operators' expertise in dealing with cascading failures can play a pivotal role during contingencies. In this paper, a dynamical probabilistic model is developed based on Markov-chains, which captures the dynamics of cascading failures in the power grid. Specifically, a previously developed Markov-chain based model is extended to capture the trade-off between the benefits of having a robust communication infrastructure and its vulnerability from data integrity (e.g., cyber-attacks). State-space reduction of …

Hybrid Warfare And Disinformation: A Ukraine War Perspective, Sascha-Dominik Dov Bachmann, Dries Putter, Guy Duczynski

Research outputs 2022 to 2026

Misinformation, disinformation and mal information are part of the information disorder construct, dominating the information warfare domain. These are key enablers associated with grey zone operations, and an integral part of current adversaries' and competitors' hybrid warfare tool kit. Disinformation, in combination with influence operations, also plays an important role within the concept of hybrid warfare; both from a threat–and own resilience perspective. This article reflects on these information warfare tools and their application by Russia in the current Russo-Ukraine war, offering potentially considerable force multipliers in the information domain for the Russian aggressor. Hybrid warfare and associated threats, specifically …

Blue Carbon Opportunities: Seagrass Carbon Storage And Accumulation Rates At Trang, Thailand, Paul Lavery, Anna Lafratta, Rujinun Palahan, Maneewan Sanlee, Milica Stankovic, Janmanee Panyawai, Oscar Serrano, Pere Masque´

Research outputs 2022 to 2026

Report prepared as a contribution to the IKI Project “Conservation of biodiversity, seagrass ecosystems and their services – safeguarding food security and resilience in vulnerable coastal communities in a changing climate” funded through the International Klimate Initiative (IKI).

The IKI Project is a partnership between the CMS, Edith Cowan University, Project Seagrass, Seagrass Watch, Murdoch University, MRS, Blue Ventures, SAN, C3, ZSL, MareCet and Yapeka. The collaboration enhances the understanding of seagrass ecosystem services and the capacity to develop and deliver science-based policy solutions in seagrass conservation. It brings together scientists, policy experts, business development experts and conservation NGOs across …

Human In Vivo Medial Gastrocnemius Gear During Active And Passive Muscle Lengthening: Effect Of Inconsistent Methods And Nomenclature On Data Interpretation, Matheus Daros Pinto, Kazunori Nosaka, James M. Wakeling, Anthony J. Blazevich

Research outputs 2022 to 2026

‘Muscle gear’ is calculated as the ratio of fascicle-to-muscle length change, strain, or velocity. Inconsistencies in nomenclature and definitions of gear exist across disciplines partly due to differences in fascicle [curved (Lf) versus linear (Lf,straight)] and muscle [whole-muscle belly (Lb) versus belly segment (Lb,segment)] length calculation methods. We tested whether these differences affect gear magnitude during passive and active muscle lengthening of human medial gastrocnemius of young men (n=13, 26.3±5.0 years) using an isokinetic dynamometer. Lb, Lb,segment, Lf and Lf,straight were measured from motion analysis and ultrasound imaging data. Downshifts in belly gear but not belly segment gear occurred with …

An Integrative Review Of Project Portfolio Management Literature: Thematic Findings On Sustainability Mindset, Assessment, And Integration, Masoud Aghajani, Gesa Ruge, Kam Jugdev

Research outputs 2022 to 2026

Sustainability integration in project portfolio management helps shape strategic, organizational, and project-based contexts. The authors conducted a structured literature review from 2000 to 2021 and developed a novel integrative framework presenting a holistic view highlighting three substantive research themes: sustainability mindset, sustainability assessment, and sustainability integration in project portfolio processes. Noteworthy progress has been made at the strategic and portfolio levels toward framing a sustainability mindset (definition, values, and principles) and developing frameworks/tools for sustainability assessment and project portfolio selection. However, areas for more research include integrating sustainability into project portfolio processes, reporting, and organizational learning for portfolio improvement.

Preface : Fruit And Vegetable Waste Utilization And Sustainability, Sachin A. Mandavgane, Ipsita Chakravarty, Amit Jaiswal

Books/Book Chapters

Fruits and vegetables are an important source of nutrition and a key element of a healthy balanced diet. Several organizations such as the World Health Organization (WHO), Food and Agriculture Organization of United Nations (FAO), and Food Health England suggest consuming more than 400 g of fruits and vegetables per day (roughly five portions per day) to improve overall health and reduce the risk of certain cardiovascular diseases and cancer; subsequently, consumption and production of fruits and vegetables are on the rise. The increased consumption/production of fruits and vegetables has resulted in huge quantities of waste (approximately 42% of the …

Testing The Adequacy Of Formal Models Of An Irrational Learning Effect, Lenard Dome

School of Psychology Theses

The inverse base-rate effect (IBRE) is an irrational phenomenon in predictive learning characterized by as a preference for rare, unlikely outcomes in the face of ambiguity. This thesis investigates the adequacy of formal explanations for this puzzling phenomenon. In the first project, I will focus on mechanisms of learning that mathematical models posit underlie this preference. A class of attentional explanation produces a counter-intuitive prediction: the effect disappears under concurrent load. I confirm the prediction, but only when participants were under an obvious time constraint -- irrationality reduces under increased task demands. This suggests that multiple learning mechanisms operate independently …

Smoothed Particle Hydrodynamics For Modelling Cold-Water Coral Habitats In Changing Oceans, Konstantinos Georgoulas, Sebastian Hennige, Yeaw Chu Lee

School of Engineering, Computing and Mathematics

The importance of the growth, proliferation and longevity of reef-forming cold-water corals is paramount as they support various complex bio-diverse habitats and provide many essential ecosystem services. These cold-water coral reefs consist of layers of living coral tissue that grow on top of large masses of coral skeleton. Here, the Goldilocks Principle is used to simulate growth in optimal conditions and model how cold-water corals engineer their habitat to survive and prosper. A computational fluid dynamics model is created based on the Smoothed Particle Hydrodynamics method, a mesh-free Lagrangian numerical method. The SPH solver is written in the C++ programming …

An Analysis Of The Iranian Post-Earthquake Management And Structural Assessment System, Nirvan Razaghi-Kashani

School of Engineering, Computing and Mathematics Theses

This thesis investigated the theory and practice of structural assessment, as a component in a more extensive post-earthquake disaster management system. The research focused on Iran as a case study, and in particular the capital city of Iran (Tehran). This study aimed overview of the system used for post-earthquake disaster management and structural assessment in Tehran. This thesis examined three specific sub-components of the system, namely: The Earthquake Information Management System (EIMS), seismic hazard education programs, and initiatives to engage communities in the disaster management process. A blended phenomenological and ethnographic approach provided the basis for the analysis of collected …

Understanding Professional Skills In Engineering Education: A Phenomenographic Study Of Faculty Conceptions, Una Beagon, Brian Bowe

Articles

Abstract Background Globalization and socially complex problems will greatly affect the way engineers work in the future. Therefore, efforts to transform engineering education must focus on professional skills and engagement of faculty as key change agents.

Purpose/Hypotheses For engineering programs to address the needs of society, graduates must have the skills to tackle future challenges. Transformation will only be successful if faculty fully engage in all curriculum design aspects; however, little is known about how faculty view professional skills. This understanding is critical if we wish to support and encourage their participation in the transformation effort. This novel study reveals …

Investigation Of Oleic Acid As A Dispersant For Hydroxyapatite Powders For Use In Ceramic Filled Photo-Curable Resins For Stereolithography, Brendan Kennedy, Eamonn De Barra, Stuart Hampshire, Maura Kelleher

Articles

Stereolithography allows production of porous hydroxyapatite scaffolds for bone regeneration but is limited by the challenging rheology of ceramic filled resins. Oleic acid, a natural fatty acid, was applied in concentrations of 0.0–0.3 wt% to improve the rheological properties of HAp resins for the fabrication of solid cylinders and scaffolds by digital light processing (DLP) printing in a wiperless system. Bonding by chemisorption was confirmed by FTIR analysis. The powders were then incorporated into a photo-curable resin of 1–6 hexanediol diacrylate at 18–30 vol%. The shear viscosity and sedimentation rates of photocurable resins containing HAp powder decreased with increasing concentration …

A Coupled Source Panel, Actuator Line, And Viscous Vortex Particle Method In An O(N) Scheme, Ryan Anderson, Andrew Ning

Faculty Publications

Wake interactions play a significant role in aerodynamics. However, common modeling approaches are either expensive or lack fidelity, making them unreliable or difficult to use in the design process. The vortex particle method can capture the relevant physics effectively, but imposing boundary conditions with solid surfaces in a computationally efficient way is challenging. We explore two possible methods of imposing solid surface boundary conditions of vortex particle simulations. The first, a novel variation on a pure particle approach, is easy to implement but is moderately expensive, and suffers from some numerical instability. The second, source panels accelerated with a fast …

Pro-Environmental Diversification Of Pasture-Based Dairy And Beef Production In Ireland, The United Kingdom And New Zealand: A Scoping Review Of Impacts And Challenges, Maria Markiewicz-Keszycka, Aileen Carter, Donal O'Brien, Maeve Henchion, Simon Mooney, Paul Hynds

Articles

Grass-fed dairy and beef products are valued by consumers for their unique nutrient profile, enhanced animal welfare and lower environmental footprint compared to conventional produce derived from animals reared indoors on higher volumes of concentrate feeds (O'Callaghan et al., Reference O'Callaghan, Vázquez-Fresno, Serra-Cayuela, Dong, Mandal, Hennessy, McAuliffe, Dillon, Wishart, Stanton and Ross2018; Moscovici Joubran et al., Reference Moscovici Joubran, Pierce, Garvey, Shalloo and O'Callaghan2021). For the current study, pasture-based production of dairy and beef is defined as a system within which cattle graze freely outdoors on green pasture for ≥6 months per year, using grazed grass as the primary feed …

Selection And Characterization Of Bacteriocinogenic Lactic Acid Bacteria From The Intestine Of Gilthead Seabream (Sparus Aurata) And Whiting Fish (Merlangius Merlangus): Promising Strains For Aquaculture Probiotic And Food Bio-Preservation, Sarah Cheriet, Sana Lenglitz, Amel Romdhani, Paul Hynds, Mohamed Salah Abbassi, Taofik Ghrairi

Articles

This study sought to evaluate the probiotic properties and the food preservation ability of lactic acid bacteria isolates collected from the intestines of wild marine fishes (gilthead seabream (Sparus aurata) (n = 60) and whiting fish (Merlangius merlangus) (n = 40)) from the Mediterranean sea in the area of Mostaganem city, Algeria. Forty-two isolates were identified as: Enterococcus durans (n = 19), Enterococcus faecium (n = 15), Enterococcus faecalis (n = 4), Lactococcus lactis subp. lactis (n = 3), and Lactobacillus plantarum (n = 1). All isolates showed inhibition to at least one indicator strain, especially against Listeria monocytogenes, Staphylococcus …

Wind Energy Harvesting And Conversion Systems: A Technical Review, Sinhara M. H. D. Perera, Ghanim Putrus, Michael Conlon, Mahinsasa Narayana, Keith Sunderland

Articles

Wind energy harvesting for electricity generation has a significant role in overcoming the challenges involved with climate change and the energy resource implications involved with population growth and political unrest. Indeed, there has been significant growth in wind energy capacity worldwide with turbine capacity growing significantly over the last two decades. This confidence is echoed in the wind power market and global wind energy statistics. However, wind energy capture and utilisation has always been challenging. Appreciation of the wind as a resource makes for difficulties in modelling and the sensitivities of how the wind resource maps to energy production results …

Fostering Spatial Ability Development In And For Authentic Stem Learning, Caiwei Zhu, Chloe Oi-Ying Leung, Eleni Lagoudaki, Mariana Velho, Natalia Segura-Caballero, Dietsje Jolles, Gavin Duffy, Gunter Maresch, Marianna Pagkratidou, Remke Klapwijk

Articles

Empirical interdisciplinary research has explored the role of spatial ability in STEM learning and achievement. While most of this research indicates that fostering spatial thinking in educational contexts has the potential to positively impact students’ enrollment and performance in STEM subjects, there is less agreement on the best approach to do so. This article provides an overview of various types of effective spatial interventions and practices in formal or informal educational contexts, including targeted training of STEM-relevant spatial skills, spatialized curricula embedded in schools, integrated STEM practices addressing students’ use of spatial skills, and spatial activities in informal STEM education. …