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Articles 37591 - 37620 of 38632
Full-Text Articles in Entire DC Network
Elizabeth Usher Memorial Lecture 2024: Speech-Language Pathology Practice In Aboriginal Spaces: A Journey Of Learning And Unlearning, Elizabeth Armstrong
Elizabeth Usher Memorial Lecture 2024: Speech-Language Pathology Practice In Aboriginal Spaces: A Journey Of Learning And Unlearning, Elizabeth Armstrong
Research outputs 2022 to 2026
In this paper I describe learnings gained from 15 years collaboration with Aboriginal colleagues in Australia, in endeavours to improve rehabilitation services for Aboriginal people with brain injury and their families. Colleagues include Aboriginal researchers, clinicians, and people with communication and other disorders associated with brain injury and their families. My research journey in this field has been made possible through the work, mentoring, and support of these colleagues who introduced me to Aboriginal ways of knowing, being, and doing. My journey has involved challenging and un-learning some widely accepted Western tenets of speech-language pathology practice in order to explore …
Driving Impactful Change: Entrepreneurial Insights For Social Responsibility In The Irish Context, Anna Zherdeva, Deirdre Mcquillan, Lucia Morales
Driving Impactful Change: Entrepreneurial Insights For Social Responsibility In The Irish Context, Anna Zherdeva, Deirdre Mcquillan, Lucia Morales
Articles
Today’s volatile situation at the global level, provoked by a significant rise in Economic and Political Uncertainty, emerged as an answer on countries attempts to manage the climate change crisis, armed conflicts, the rising cost of living, a growing divide between the more prosperous Global North and the poorest Global South that are reflected on the emergence of multifaceted, multiple and long-lasting crises. During periods of heightened instability and economic uncertainty, businesses struggle to build trusting relationships with stakeholders as they seek to reduce costs. Additionally, companies seek deep engagement as they confront the costs associated with sustainability challenges and …
A Computational Fluid Dynamics (Cfd) Based Assessment Of Animal Borne Data Logger Impact, Christopher Pass
A Computational Fluid Dynamics (Cfd) Based Assessment Of Animal Borne Data Logger Impact, Christopher Pass
School of Engineering, Computing and Mathematics Theses
Animal borne data loggers are powerful tools that provide researchers with valuable insight into the behaviour and ecology of free-ranging marine animals. Despite their usefulness, the addition of a tag inevitably alters the forces acting on a swimming body and can increase the energetic cost of swimming. Computational Fluid Dynamics (CFD) tools offer a powerful means of assessing tag impact and a number of previous works have employed CFD to this end but have typically been based on a range of simplifying assumptions. Chief amongst these simplifications is that animals can be modelled as rigid bodies with a simple tag …
Graphene Biosensors For The Detection Of Alzheimer's And Cardiovascular Disease Protein Biomarkers, Theodore Bungon
Graphene Biosensors For The Detection Of Alzheimer's And Cardiovascular Disease Protein Biomarkers, Theodore Bungon
School of Engineering, Computing and Mathematics Theses
Dementia describes a syndrome or group of symptoms associated with the decline of brain functioning such as loss of memory, mood, judgment, language, thinking speed, mental sharpness and other mental abilities. Different classes of Dementia are Jakob Disease, Korsakoff Syndrome, Vascular dementia, Parkinson’s disease, Huntington disease, young onset dementia, Alzheimer’s disease (AD) etc. At present, AD is irreversible and incurable, and it worsens overtime, it is neurodegenerative, caused by the accumulation or build-up of abnormal protein in the brain. It is a type of dementia that is common, affecting about 60% of patients with dementia diagnosis. Globally, over 54 million …
Automated Vulnerability Scanning And Security Audit Framework For Maritime Systems, Avanthika Vineetha Harish
Automated Vulnerability Scanning And Security Audit Framework For Maritime Systems, Avanthika Vineetha Harish
School of Engineering, Computing and Mathematics Theses
The maritime industry is a well-established sector, with the shipping industry dating back hundreds of years. The devices in this sector differ from those in the Information Technology (IT) sector in their usage, operations, hardware, andprotocols. Technological advancements have introduced new challenges in the sector, including the increased risk of cyber attacks. To effectively identify, respond to, and analyse these threats, it is essential to understand the cyber securityvulnerabilities in maritime systems and system-of-systems.Currently, there are no standardised methods or automated tools for conducting cyber security testing of maritime systems. This thesis presents an automated vulnerability scanning and security audit …
Meditation Techniques And Their Relationship To Psychotic-Like And Mystical Experiences, Timothy Palmer
Meditation Techniques And Their Relationship To Psychotic-Like And Mystical Experiences, Timothy Palmer
School of Psychology Theses
Meditation practice has been associated with benefits but also adverse experiences from anxiety to psychotic-like experiences (PLEs) and even psychosis. The overarching aim was to identify how different types of meditation techniques (varying in bodily focus) differentially relate to psychotic-like experiences and cognitive abilities, including interoceptive awareness, affective awareness and decision-making. For this, I conducted two correlational studies and an intervention study.Different systems have been proposed for classifying meditation techniques. Nash et al’s (2013) approach categorises techniques by goal: Null Directed Methods (NDM), which aim for an “empty” state; Cognitive Directed Methods (CDM), aimed at an enhanced cognitive state; and …
Predictive Perception In Autism, Robert Harlow
Predictive Perception In Autism, Robert Harlow
School of Psychology Theses
This thesis investigates how predictive perception, motor coordination, and neurotype differences influences social perception in autism. It explores how these mechanisms contribute to social difficulties faced by autistic people, through the lens of the double empathy problem and second-person neuroscience.Chapter 2 examined how spoken intentions and visual evidence guide predictive social perception. Across four experiments, results supported a dual-process model whereby top-down expectations shape early perception but are overridden by visual input once motion begins. This led to the ‘kinematic dominance hypothesis’, suggesting motion cues dominate perception once movement begins due to their higher precision.Chapter 3 used high-resolution active motion …
Understanding Truth And Reconciliations Processes In An Art-Based Community Project Which Addresses Experiences Of Iatrogenic Harm In Mental Health Services, Joseph French
School of Psychology Theses
Research suggests that some service users may have harmful experiences of mental health services. Truth and reconciliations processes have addressed systemic harm in other contexts. However, these are complex and may have positive and negative impacts. Eight interviews were conducted with seven members of a community arts group which uses a truth and reconciliations approach. Members create art to express harmful experiences of the mental health system and display it at exhibitions where mental health professionals are invited to engage with it. The researcher used a constructivist grounded theory informed approach to understand how artists experienced a truth and reconciliations …
Detecting Meaningful Longitudinal Cognitive Change In Preclinical Alzheimer’S Disease From Statistics To Clinical Tools: A Psychometric And Multivariate Evaluation, Wayelina Marianne
Detecting Meaningful Longitudinal Cognitive Change In Preclinical Alzheimer’S Disease From Statistics To Clinical Tools: A Psychometric And Multivariate Evaluation, Wayelina Marianne
School of Psychology Theses
Objective: To improve early detection of transitional cognitive decline associated with stage 2 preclinical Alzheimer’s disease (AD), this study evaluated three statistical approaches: Reliable Change Index (RCI), Standardised Regression-Based (SRB) models, and Multivariate Base Rate (MVBR) analysis for identifying Alzheimer’s disease related cognitive decline over a 12-month interval. Method: A longitudinal cohort of older adults (N = 91), including healthy controls, individuals with Subjective Cognitive Decline (SCD), and diagnosed AD patients, completed a neuropsychological battery at two time points. Test–retest reliability and practice effects were estimated, followed by calculation of RCI, SRB, and MVBR indices at both 5th and 16th …
Bridging The Gap: A Mixed Methods Study Of Trainee Clinical Psychologists’ Experiences And Learning Needs For Working With Refugees, With Co-Produced Training Guidelines., Megan Stuart-Richards
Bridging The Gap: A Mixed Methods Study Of Trainee Clinical Psychologists’ Experiences And Learning Needs For Working With Refugees, With Co-Produced Training Guidelines., Megan Stuart-Richards
School of Psychology Theses
AbstractRefugees face unique and traumatising challenges to their mental health across multiple socio-political climates. Services are providing inequitable support for refugees, which lack appreciation of transcultural conceptualisations of mental distress, amongst a backdrop of social injustice. Refugees were employed as Co-researchers to co-produce every stage of this project. Reflexive Thematic Analysis was utilised in this study to examine experiences and learning needs of 79 Trainee Clinical Psychologists (TCP’s) in their survey responses. Novel training guidelines, to be accessed via ‘supplementary materials’, were co-produced alongside scoped learning needs, which contribute to health research and practice. Four interrelated overarching themes became evident. …
Developing New Memory Tests In Alzheimer’S Disease: A Development And Initial Pilot Study., Áine Maguire
Developing New Memory Tests In Alzheimer’S Disease: A Development And Initial Pilot Study., Áine Maguire
School of Psychology Theses
Objective: This development and pilot study aimed to create and assess the utility and feasibility of using three new computerised memory tests of semantic interference during learning, short-term visual memory binding, and cross-modal associative memory binding with people with Alzheimer’s Disease (AD). Method: The new memory tests were evaluated as potential diagnostic and staging tests in AD using a sample of older adults: 15 with a clinical diagnosis of AD, mean age 70.80±5.41 years; 14 with positive AD biomarkers but no known cognitive impairment (preclinical AD), mean age 70.60±4.49 years; and 15 healthy controls (HCs), mean age 69.60 ±7.38 years. …
Nomad Vs. Kubernetes, Alexandru Constantin Cardas, Omar Portillo
Nomad Vs. Kubernetes, Alexandru Constantin Cardas, Omar Portillo
Academic Poster Collection
Nomad vs. Kubernetes
Cost Optimization In Open Telemetry, Niksa Jadric, Cormac Keogh
Cost Optimization In Open Telemetry, Niksa Jadric, Cormac Keogh
Academic Poster Collection
Cost Optimization in Open Telemetry
From A Spectrum To Diagnosis: The Integration Of Raman Spectroscopy And Chemometrics Into Hepatitis Diagnostics, Muhammad Kashif, Hugh J. Byrne
From A Spectrum To Diagnosis: The Integration Of Raman Spectroscopy And Chemometrics Into Hepatitis Diagnostics, Muhammad Kashif, Hugh J. Byrne
Articles
Hepatitis, most importantly hepatitis B and hepatitis C, is a significant global health concern, requiring an accurate and early diagnosis to prevent severe liver damage and ensure effective treatment. The currently employed diagnostic methods, while effective, are often limited in their sensitivity, specificity, and rapidity, and the quest for improved diagnostic tools is ongoing. This review explores the innovative application of Raman spectroscopy combined with a chemometric analysis as a powerful diagnostic tool for hepatitis. Raman spectroscopy offers a non-invasive, rapid, and detailed molecular fingerprint of biological samples, while chemometric techniques enhance the interpretation of complex spectral data, enabling precise …
Children’S Outdoor Play Injuries: How Real Are Parental Concerns Of Danger In Outdoor Play?, Fiona Armstrong, David Gaul
Children’S Outdoor Play Injuries: How Real Are Parental Concerns Of Danger In Outdoor Play?, Fiona Armstrong, David Gaul
Research Outputs: 2025-Present
Risky play can be defined as any play that is thrilling or exciting, involving risk of injury [Sandseter, E. B. H. (2007). Categorising risky play—How can we identify risk-taking in children's play? European Early Childhood Education Research Journal, 15(2), 237–252.]. Risky play has been associated with danger and increased risk of injury, yet there is limited evidence relating to the prevalence of injuries because of play, with existing data mainly related to home and sports-related injuries [Gilmartin, S., Barrett, M., Bennett, M., Begley, C., Ni Chroinin, C., O’Toole, P., & Blackburn, C. (2022). The effect of national public health measures …
Bridging The Divide: How Do Lecturers In Undergraduate Sound Engineering Courses Bridge The Gap Between Industry And Education?, Daniel Tregenna
Bridging The Divide: How Do Lecturers In Undergraduate Sound Engineering Courses Bridge The Gap Between Industry And Education?, Daniel Tregenna
School of Law, Humanities and Social Sciences Theses
The formal study of sound engineering is a relatively modern and under-researched field within modern arts education. However, this subject has a number of features that are common across a range of subjects of a similar nature. How the lecturers who work on these courses influence students and tie them to the wider industry is potentially pivotal in an industry so intrinsically tied to the nature of interpersonal connections. Particularly where this industry simultaneously does not provide stable and sustained working partnerships. This international comparative study looks to explore the role lecturers on undergraduate sound engineering courses play in bridging …
Reducing Marine Plastic Pollution: Critical Assessment Of The Potential To Develop A Civil Liability And Compensation Mechanism Under The Law Of The Sea Convention, Alexandra Leaton
School of Law, Humanities and Social Sciences Theses
Plastic pollution has had a detrimental global impact, particularly in the marine environment, due to its mobility, longevity, and tendency to be difficult to retrieve. The situation has worsened because of the increased production and consumption of plastics and the fact that pollution occurs throughout the entirety of plastics’ production and lifecycle. Its pathways/vectors to the marine environment are diffuse and complex. The combined environmental, social, and potential health impacts of plastics have resulted in the development of over 40 international legal and other regulatory mechanisms, although inconsistent implementation has resulted in a fragmented framework with gaps and overlaps. The …
New Insights Into Active Tectonics And Landscape Evolution Of The Northernmost Chilean Central Depression, A. Vega-Ruiz, P. Victor, K. Reicherter, A. Binnie, L. Evenstar, G. González, S. A. Binnie
New Insights Into Active Tectonics And Landscape Evolution Of The Northernmost Chilean Central Depression, A. Vega-Ruiz, P. Victor, K. Reicherter, A. Binnie, L. Evenstar, G. González, S. A. Binnie
School of Geography, Earth and Environmental Sciences
Active deformation and landscape evolution in North Chilean forearc involve multiscale tectonic processes, such as crustal thickening causing orogenic-scale uplift and faulting modulating the mountain-front landscape. In the Central Depression, faults redirecting Quaternary drainages are poorly understood due to their subtle surface expressions and limited structural data acquisition. To address this, we combined remote-sensing analysis of high-resolution DEMs, satellite and UAV imagery, new geomorphic mapping, structural data, and morphometric analysis with available surface age dating to identify and give temporal constraints on previously unmapped faults impacting drainages across this region. Our findings reveal the reactivation of east-vergent NNW-SSE reverse to …
Facilitating Student Engagement In Elementary Science Classrooms With Reformed Teaching Principles, Nathaniel Bryant
Facilitating Student Engagement In Elementary Science Classrooms With Reformed Teaching Principles, Nathaniel Bryant
Dissertations and Theses @ UNI
Science performance among elementary school students in the United States has stagnated in recent years. To address this issue, the Next Generation Science Standards (NGSS) were introduced, advocating for a reform in science education. Traditionally, hands-on laboratory work has been used to help students understand scientific concepts through a "learn by doing" approach. However, students often become disengaged during practical work, as following a set procedure to replicate scientific phenomena does not reflect how scientists approach problems in their daily practice. It is now argued that hands-on laboratories should not only involve observation or manipulation of materials and equipment but …
Socioeconomic Status And Educational Opportunities Through The Eyes Of Students And Teachers: Diverse Realities, Shared Insights, Jill Schany
Dissertations and Theses @ UNI
Sowl and Crain (2021) argue that despite recognizing the uniqueness of the place when it comes to rural demographics and needs, policies regarding education and the economy often prioritize urban areas, defining rural in opposition to urban without adequately addressing the specific needs of rural youth. Studies examining geographical disparities in educational outcomes traditionally concentrated on achievement gaps within urban and suburban areas, highlighting more startling gaps in cities with heightened racial, ethnic, and socioeconomic inequality and segregation. Literature also extensively discusses neighborhood effects on educational outcomes in densely populated regions, offering valuable insights into the distribution of educational opportunities …
Organization Communication Policy To Emphasize Student Employee Productivity, Yohan Fernando
Organization Communication Policy To Emphasize Student Employee Productivity, Yohan Fernando
Dissertations and Theses @ UNI
This study explored student perceptions of organizational communication policies and their impact on student employee productivity at a mid-sized Midwestern university. In-depth interviews with student employees revealed key themes—fairness, uniformity, openness, and communication—as essential elements of transparency. Additionally, academic work-life balance and scheduling flexibility emerged as critical factors in supporting productivity. The findings show that student employees view transparency and flexibility as central to both job satisfaction and productivity. Policies that promote equitable treatment and adaptable scheduling were especially influential. While organizational vision, mission, and values were recognized, they were not seen as major drivers of productivity. Similarly, rewards and …
The Organization Of Serotonergic Fibers In The Pacific Angelshark Brain: Neuroanatomical And Supercomputing Analyses, Skirmantas Janušonis, Ralf Metzler, Thomas Vojta
The Organization Of Serotonergic Fibers In The Pacific Angelshark Brain: Neuroanatomical And Supercomputing Analyses, Skirmantas Janušonis, Ralf Metzler, Thomas Vojta
Physics Faculty Research & Creative Works
Serotonergic axons (fibers) are a universal feature of all vertebrate brains. They form meshworks, typically quantified with regional density measurements, and appear to support neuroplasticity. The self-organization of this system remains poorly understood, partly because of the strong stochasticity of individual fiber trajectories. In an extension to our previous analyses of the mouse brain, serotonergic fibers were investigated in the brain of the Pacific angel shark (Squatina californica), a representative of a unique (ray-like) lineage of the squalomorph sharks. First, the fundamental cytoarchitecture of the angel shark brain was examined, including the expression of ionized calcium-binding adapter molecule 1 (Iba1, …
Arc-Jet And Free-Flight Evaluation Of Laminar And Turbulent Diffusion Models On Ablation, Kyle Worden, Andrew Heider, Serhat Hosder
Arc-Jet And Free-Flight Evaluation Of Laminar And Turbulent Diffusion Models On Ablation, Kyle Worden, Andrew Heider, Serhat Hosder
Mechanical and Aerospace Engineering Faculty Research & Creative Works
This paper investigates the effect of diffusion models on carbon ablation with a parametric study on a slug-calorimeter geometry in arc-jet flow at two enthalpy conditions using two arc-jet flow modeling approaches, and at corresponding enthalpy-matched free-flight conditions using RANS CFD simulations. Additionally, a sphere-cone geometry is modeled at the arc-jet enthalpy matched free-flight conditions and at a high Reynolds number free-flight condition. The approximate-corrected form of Fick's law and the Stefan-Maxwell diffusion models are investigated for equilibrium and finite-rate carbon ablation in laminar and turbulent flows, which is simulated with the Menter-SST turbulence model. The turbulent cases include the …
Improving Neural Network Efficiency With Multi-Fidelity And Dimensionality Reduction Techniques, Vignesh Sella, Thomas O'Leary-Roseberry, Xiaosong Du, Mengwu Guo, Joaquim R.R.A. Martins, Omar Ghattas, Karen Willcox, Anirban Chaudhuri
Improving Neural Network Efficiency With Multi-Fidelity And Dimensionality Reduction Techniques, Vignesh Sella, Thomas O'Leary-Roseberry, Xiaosong Du, Mengwu Guo, Joaquim R.R.A. Martins, Omar Ghattas, Karen Willcox, Anirban Chaudhuri
Mechanical and Aerospace Engineering Faculty Research & Creative Works
Design problems in aerospace engineering often require numerous evaluations of expensive to-evaluate high-fidelity models, resulting in prohibitive computational costs. One way to address the computational cost is through building surrogates, such as deep neural networks (DNNs). However, DNNs may only be an effective surrogate when sufficient evaluations of the high-fidelity model are required such that the up-front training cost is amortized, or in situations that require real-time responses (such as interactive visualizations). Typically, the data requirements for adequately accurate training of DNNs are often impractical for engineering applications. To alleviate this issue, the proposed work utilizes output dimensionality reduction along …
Correction: Advancing Cislunar Space Domain Awareness Through Robust Optimization Framework For Optical Sensors-Based Autonomous Satellite Systems (American Institute Of Aeronautics And Astronautics Inc, Aiaa), Smriti Nandan Paul, Siwei Fan, Igor Panfil
Correction: Advancing Cislunar Space Domain Awareness Through Robust Optimization Framework For Optical Sensors-Based Autonomous Satellite Systems (American Institute Of Aeronautics And Astronautics Inc, Aiaa), Smriti Nandan Paul, Siwei Fan, Igor Panfil
Mechanical and Aerospace Engineering Faculty Research & Creative Works
Correction Notice • Page 8: "$\lambda_2$: It represents the cardinality-weighted" corrected to "$\lambda_2$: It represents the inverse of cardinality-weighted." Equation $\lambda_2=\sum_{i=1}^{10}(n_i\Xi_i)$ corrected to $\lambda_2=1/(\sum_{i=1}^{10}(n_i \Xi_i))$ • Page 11: Table 1 is updated with new orbital families and number of satellites & 1 & $L_2$ Halo south|$L_1$ Halo north|Butterfly south & 1|2|3\\ & 2 & $L_1$ Halo north|$L_2$ Halo south|Dragonfly south & 5|10|3\\ & 3 & Butterfly south|$L_2$ Halo south|$L_2$ Lyapunov & 3|10|4\\ & 4 & $L_1$ Halo south|$L_2$ Halo north|$L_1$ Halo north & 5|3|1\\ A|B|C & 5 & $L_2$ Halo south|$L_1$ Lyapunov|$L_2$ Halo north & 2|8|9\\ & 6 & $L_3$ …
High-Order Dynamic Mode Decomposition For Multidimensional Harmonic Retrieval, Yanming Zhang, Steven Gao, Lijun Jiang
High-Order Dynamic Mode Decomposition For Multidimensional Harmonic Retrieval, Yanming Zhang, Steven Gao, Lijun Jiang
Mechanical and Aerospace Engineering Faculty Research & Creative Works
Estimating channel parameters such as azimuth, elevation, Doppler shift, and delay is a key challenge in wireless communication, often formulated as a multidimensional harmonic retrieval (MHR) problem. To address this, we propose a high-order dynamic mode decomposition (HODMD) framework for robust frequency estimation from high-dimensional signals in noisy environments. The HODMD approach combines high-order singular value decomposition (HOSVD) to decompose tensor data into a core tensor and mode matrices, with dynamic mode decomposition (DMD) to extract frequencies from the imaginary parts of the DMD eigenvalues. Simulation examples validate the effectiveness of the proposed method, demonstrating its efficiency in solving MHR …
Performance Evaluation And Multiphysics Process Modeling Of Carbon Fiber Reinforced Thermoset Composites Using Microwave And Autoclave, Nayan Pundhir, Patrick Schwartzkopf, K. Chandrashekhara, Logan Wilcox, Kristen M. Donnell, Jim Lua, Rui Li
Performance Evaluation And Multiphysics Process Modeling Of Carbon Fiber Reinforced Thermoset Composites Using Microwave And Autoclave, Nayan Pundhir, Patrick Schwartzkopf, K. Chandrashekhara, Logan Wilcox, Kristen M. Donnell, Jim Lua, Rui Li
Mechanical and Aerospace Engineering Faculty Research & Creative Works
In this study, IM7/Cycom 5320-1 unidirectional prepreg has been utilized to manufacture 16-layer laminated composites: a symmetric cross-ply ([0°/90°]4s) and a quasi-isotropic ([45°/90°/−45°/0°]2s) configuration. Microwave and autoclave curing processes have been employed to manufacture the laminated composites. The manufactured composite cure was assessed using differential scanning calorimetry (DSC). The quality and porosity of the microwave-cured parts were juxtaposed to those of autoclave-cured parts through optical microscopy and micro-computed tomography (micro-CT) scanning. Mechanical characterization of the microwave-cured panels was conducted using uniaxial tensile and flexural tests, with results juxtaposed to autoclave-cured samples. Experimental characterization revealed that the microwave-cured parts exhibited nearly …
Design And Testing Of An Intrusive Arm For Supersonic Flow Sampling, Caleb Roberts, Davide Viganò
Design And Testing Of An Intrusive Arm For Supersonic Flow Sampling, Caleb Roberts, Davide Viganò
Mechanical and Aerospace Engineering Faculty Research & Creative Works
Intrusive probes are critical tools in supersonic wind tunnel testing, enabling direct measurement of flow properties such as pressure and heat flux. To support these measurements, a single-axis intrusive arm was designed and implemented in the Missouri S&T Supersonic Wind Tunnel. The system is designed to maintains precise probe positioning, while withstanding the aerodynamic loads, and preserving a dynamic seal between the test section and ambient environment. Its modular design accommodates a range of probe types for various research applications. This paper presents the design methodology, including structural, mechanical, and aerodynamic considerations, and details the integration process. System performance was …
Few-Shot Learning-Enhanced Tiered Path Planning For Mars Rover Navigation, Ziyi Wang, Di Yu, Mina Khalilzadeh Fathi, Chaoying Pei
Few-Shot Learning-Enhanced Tiered Path Planning For Mars Rover Navigation, Ziyi Wang, Di Yu, Mina Khalilzadeh Fathi, Chaoying Pei
Mechanical and Aerospace Engineering Faculty Research & Creative Works
Path planning for Mars rovers presents significant challenges due to the diverse terrain, ranging from easily navigable areas to hazardous zones. Traditional methods typically classify terrain simply as passable or impassable, failing to account for the nuances of more moderately challenging areas. In this paper, we introduce a tiered terrain-aware path planning strategy, employing few-shot learning to classify and segment Martian terrain into levels of difficulty. The few-shot learning model, trained on Earth, is sent to the rover, enabling real-time processing of images from satellites or helicopters. The flexibility of few-shot learning, which requires minimal data and training time, enables …
A Low-Frequency-Stable Higher-Order Isogeometric Discretization Of The Augmented Electric Field Integral Equation, Maximilian Nolte, Riccardo Torchio, Sebastian Schöps, Jürgen Dölz, Felix Wolf, Albert E. Ruehli
A Low-Frequency-Stable Higher-Order Isogeometric Discretization Of The Augmented Electric Field Integral Equation, Maximilian Nolte, Riccardo Torchio, Sebastian Schöps, Jürgen Dölz, Felix Wolf, Albert E. Ruehli
Electrical and Computer Engineering Faculty Research & Creative Works
This contribution investigates the connection between Iso geometric analysis (IGA) and integral equation (IE) methods for full-wave electromagnetic problems up to the low-frequency limit. The proposed spline-based IE method allows for an exact representation of the model geometry described in terms of nonuniform rational B-splines (NURBS) without meshing. This is particularly useful when high accuracy is required or when meshing is cumbersome, for instance, during the optimization of electric components. The augmented electric field IE (EFIE) is adopted, and the deflation method is applied, so the low-frequency breakdown is avoided. The extension to higher-order basis functions is analyzed and the …