Digital Commons Network^™

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. …

Simulation And Analysis Of Synthetic Aperture Radar Images, Jonathan Blackledge

Books/Book chapters

The principal model for an image, generated by the interaction of an incident wave field with an inhomogeneous medium, is based on the ‘weak scattering approximation’. This approximation forms the basis for image processing, analysis and image understanding associated with applications over a broad range of frequencies. The physical limitations of such a model are typically overcome by introducing an additional stochastic field term that takes into account those effects that do not conform to the weak scattering approximation, coupled with background ‘system noise’. In this chapter, a solution to the scattering problem is presented, which is based on an …

An Experimental-Numerical Study Of Heat Transfer Enhancement In A Minichannel Using Asymmetric Pulsating Flows, Parth S. Kumavat, Sajad Alimohammad, Seamus M. O'Sullivan

Articles

The development of current and next-generation high-performance electronic devices has led to miniaturization in more densely packed spaces. The increasing power levels have resulted in ever-increasing heat flux densities which necessitates the evolution of new liquid-based heat exchange technologies. Implementation of single-phase cooling systems using pulsating flow is viewed as a potential solution to the problems involving high energy density electronics. This work involves a combined experimental and numerical analysis of pulsating flows in a rectangular mini channel undergoing asymmetric sinusoidal flow pulsation formats. The mini channel design includes a heated bottom section approximated as a constant heat flux boundary …

Auditing With Data And Analytics: External Reviewers’ Judgments Of Audit Quality And Effort, Scott A. Emett, Steven E. Kaplan, Elaine G. Mauldin, Jeffrey Pickerd

Faculty Publications

Audit firms hesitate to take full advantage of data and analytics (D&A) audit approaches because they lack certainty about how external reviewers evaluate those approaches. We propose that external reviewers use an effort heuristic when evaluating audit quality, judging less effortful audit procedures as lower quality, which could shape how external reviewers evaluate D&A audit procedures. We conduct two experiments in which experienced external reviewers evaluate one set of audit procedures (D&A or traditional) within an engagement review, while holding constant the procedures’ level of assurance. Our first experiment provides evidence that external reviewers rely on an effort heuristic when …

How Do Renewable And Non-Renewable Co-Move? Fresh Evidence From The European Energy Market Via Arji-Garch Copula Model, A Agosto, L Dalla Valle, Giuli Me De

School of Engineering, Computing and Mathematics

The global energy crisis and rising climate concerns are encouraging the transition to a more sustainable economy. Monitoring energy prices has become increasingly important for analysts, policymakers and businesses to tackle the current situation by increasing the integration of renewable energy sources, strengthening the resilience of the energy system to price shocks and reducing its dependence on fossil fuel imports, as well as improving the affordability of energy for consumers. We set up a copula-based ARJI-GARCH model to investigate the timevarying and non-linear dependence between renewable and non-renewable asset prices in the European energy market. Our results show that the …

Experimental Study Of A Floating Two-Body Wave Energy Converter, D Li, Sanjay Sharma, Alistair G.L. Borthwick, Heao Huang, Xiaochen Dong, Y Li, Hongda Shi

School of Engineering, Computing and Mathematics

A novel floating two-body wave energy converter (WEC) is tested in regular waves. The WEC consists of a streamlined conical outer buoy that surrounds an elongated inner buoy, with a hydraulic power take-off (PTO) system and an optimized mooring system. Free decay tests quantify the natural frequency characteristics of two-buoy system. A parameter study characterizes the multi-degree-of-freedom coupled motion response of the system dynamics in regular waves. It is found that the two-body system with two resonant frequencies broadens the motion frequency band and possesses stability and survivability attributes that enhance energy capture performance. By quantifying the peak energy, the …

Interconnection Schemes In Modeling And Control, Pablo Borja, Joel Ferguson, Der Schaft A Van

School of Engineering, Computing and Mathematics

Interconnection schemes are ubiquitous in physical systems. For instance, in multi-domain systems consisting of interconnected subsystems from different physical domains. Furthermore, the interconnection of two or more systems has also been exploited to analyze and control dynamical systems, especially passive ones. To this end, the most common interconnection structure is the negative feedback interconnection. However, this approach is unsuitable to directly couple the states of the subsystems in the overall system’s energy as customarily occurs in physical systems. This letter provides two interconnection approaches that overcome this issue. Notably, it is shown that these interconnection structures are suitable for decomposing …

Developing A Maritime Cyber Safety Culture: Improving Safety Of Operations, Rory Hopcraft, Kimberly Tam, Palbar Misas J Dorje, Kemedi Moara-Nkwe, Kevin Jones

School of Engineering, Computing and Mathematics

A rise in catastrophic loss-of-life events as a result of poor safety management (e.g., the capsizing of the Herald of Free Enterprise and the Costa Concordia) has driven the maritime sector to improve its safety management practices. This paper will explore the vital role of the human element within safety management, and why, as part of that safety management, organizations must foster a safety culture. This development must be achieved if organizations are to make a significant step forward in preventing similar catastrophes in the future. It is important to note that the development of safety cultures is not new …

New Code-Based Cryptosystems Via The Ikkr Framework, Terry Shue Chien Lau, Fedor Ivanov, Muhammad Rezal Kamel Ariffin, Ji Jian Chin, Timothy Tzen Vun Yap

School of Engineering, Computing and Mathematics

One main construct for code-based public key cryptosystems is the McEliece framework that hedges upon the hardness of decoding arbitrary linear codes. Based on Goppa codes, the original McEliece cryptosystem however, suffers from having very large public keys. To alleviate this problem, we define a new problem that is NP-complete and use this assumption of the intractability of the decisional problem to construct a IND-CCA2-secure code-based public key encryption scheme. We consider generalized Reed–Solomon codes in our public-key cryptosystem and show that it resists Sidelnikov and Shestakov’s key recovery attack. Our generalized Reed–Solomon code encryption scheme achieves optimal public key …

Modelling And Evaluation Of Driving Simulator For Driving Education In Malaysia, Y-Q Cheng, Sarina Mansor, J-J Chin, Md Mushfiqur Rahman, Karim H Abdul, Kw Ban

School of Engineering, Computing and Mathematics

Driving simulator has been widely used as one of driver training tools because it provides a safe environment which does not expose drivers to hazards. However, Malaysia has yet to adopt the driving simulator in the driving course. In this paper, a cost effective and modular driving simulator prototype integrated is designed and developed based on the Malaysian Ministry of Transport’s Standardised License Test. Seven modules which correspond to five practical syllabus circuit tracks and two on-the-road theories are created using a real time development tool named “Unity” and integrated with some off-the-shelf hardware namely a steering wheel, gear shifter …

Life Cycle Assessment Research Trends And Implications: A Bibliometric Analysis, Badr Moutik, John Summerscales, Jasper Graham-Jones, Richard Pemberton

School of Engineering, Computing and Mathematics

Acknowledging the importance of sustainability and implementing measures to achieve the UN’s 17 Sustainable Development Goals (SDGs) by 2030 represent a holistic approach to promoting peace and prosperity for the planet and its inhabitants. LCA is a valuable tool for organisations to enhance sustainability and reduce environmental impact. There has been a notable increase in LCA research subjects, indicating a recognition of its significance in promoting sustainability. The field has experienced a significant expansion in the past decade, with a 30% annual percent growth rate in LCA publications since 2010. In the most recent 4 years alone, 47% of all …

Black-Odorous Water Bodies Annual Dynamics In The Context Of Climate Change Adaptation In Guangzhou City, China, Bing Liu, Haojun Xi, Tianhong Li, Alistair G.L. Borthwick

School of Engineering, Computing and Mathematics

Black-odorous water (BOW) in urban areas has brought detrimental ecological effects and posed a threat to the health of surrounding residents. Identifying BOWs in urban areas is difficult because they are usually small in area, and discontinuous in spatial distribution. The efforts to adapt to climate change in cities have a direct connection to urban environment and may affect the dynamics of BOWs, but their relationship has seldom been addressed in previous research. This research builds a new urban BOW detection model using Gaofen (GF) images and ground-level in-situ water quality data to detect the spatiotemporal dynamics of BOWs in …