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2014 — Weyl’s Construction of the Irreducible Regular Representations of the Complex Classical GroupsRésumé
The main objective of this work is to construct all the regular representations of the complex classical groups. Since each of these groups is reductive, in the sense that every regular module is a direct sum of irreducible regular modules, it su ces to construct the irreducible ones. We achieve this by using Weyl's method, which provides an explicit and concrete realization of each of the desired modules. Chapters 1 to 3 contain background information. The reader may choose to skip them and consult them only when necessary. Chapters 1 and 3 describe the relationship between the classical groups and … Lire la suite
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2021 — A Novel Application of Computer Vision and Deep Learning for Assessing Mechanical Engineering DrawingsRésumé
Evaluating the recurrent mistakes in engineering drawings is a tedious and rather mundane task for a quality control team, but is necessary for creating professional drawings to improve products and customer satisfaction. This research examines the novel application of a transfer learning approach of an object detection model, YOLOv4, for assessing mechanical engineering drawings. Also, the model was trained to recognize unique features that were not in the initial training suite. Two modes of this supplemental training on the base model were assessed. The method that included new drawings with the original training suite improved error detection and minimized the … Lire la suite
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2017 — Effect of Creatine Supplementation Dosing Strategies on Aging Muscle PerformanceRésumé
Creatine supplementation has shown promise for increasing muscle strength, endurance and tasks of functionality in the aging population. However, the optimal dosage of creatine needed to maximize these potential benefits is unknown. The purpose of this study was to compare the effects of different dosages of creatine supplementation on aging muscle performance and functionality. Using a double-blind, repeated measures design, participants were randomized to one of three groups: Creatine-High (CR-H; n = 11; 59.3 ± 3.2 yrs, wt = 82.6 ± 16.8 kg, BMI = 28.3; 0.3 g/kg/day of creatine + 0.1 g/kg/day of maltodextrin), Creatine-Low (CR-L: n = 9; … Lire la suite
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2017 — Some Artificial Neural Network Rule Extraction Algorithms for Nonlinear Regression Problems and Their ApplicationRésumé
Inspired by the operation mechanism of the human brain, artificial neural network (ANN) is a computational system that exhibits high predictive power, great adaptability, and robustness. However, despite the high predictive accuracy, ANN models are opaque and do not provide researchers with explicit relationships between the predictor and predicted attributes of the studied problem. Therefore, to overcome this drawback, three ANN rule extraction algorithms, namely the PWL-ANN, the enhanced-PWL-ANN, and the EURECA algorithms, were proposed in this study. The PWL-ANN algorithm extracts rules from trained ANN models by approximating the hidden neuron sigmoid functions by 3-piece linear functions. Whereas, the … Lire la suite
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2012 — Maternal Perceptions of Infant Sleep ProblemsRésumé
Infant sleep problems have been found to be related to child, parent, and family difficulties in both the short and long term. Behavioural interventions have been shown to be important for reducing and preventing these associated problems. As the primary caregivers of infants, parents are key figures in providing information about their children to clinicians and researchers. They also determine whether and when to seek treatment for infant sleep problems, and how interventions are implemented. However, little is known about how parents perceive infant sleep problems, a factor that is important in parental decisions for seeking infant sleep interventions. Thus, … Lire la suite
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2012 — Evidence-Based Development and Initial Validation of the Pain Assessment Checklist for Seniors with Limited Ability to Communicate-II (PACSLAC-II)Résumé
Pain is undertreated in long-term care (LTC) facilities, in part because of difficulties in evaluating pain among seniors with dementia and limited ability to communicate (Wynne, Ling, & Remsburg, 2000). One of the leading assessment tools for this population is the Pain Assessment Checklist for Seniors with Limited Ability to Communicate (PACSLAC; Fuchs-Lacelle & T. Hadjistavropoulos, 2004). Although the PACSLAC has strong psychometric properties and is frequently preferred by LTC staff for its clinical utility (Lints-Martindale, T. Hadjistavropoulos, Lix & Thorpe, 2012; Zwakhalen, Hammers & Berger, 2006), it consists of 60 items that may be considered to be too many … Lire la suite
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2022 — An analysis of shallow vs deep features for AI-based plant disease detectionRésumé
Many literatures show deep networks to be highly effective in visual classification. While effective, these networks rely on big data for its training process which tends to be time-consuming and resource heavy. On-site data involving plant diseases is often difficult to find in the public domain. We investigate in the absence of abundant data that has class imbalances, whether the substitution of shallow features provide a faster means to deployment in comparison to a deep feature extractor. In this work, shallow features as purposefully extracted features that are hand-crafted and selected by the data scientist. In comparison, deep features as … Lire la suite
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2016 — Compassionate Arts as a Spiritual Care Technology for Cancer Patients Interpreting the Lived ExperienceRésumé
Identity is at risk in people facing a life altering illness such as cancer because of challenges to interpersonal relationships, physical functions, lifestyle routines, existential life views, and disempowering healthcare and cultural discourses, all of which may bring social isolation. The purpose of this research study was to understand the lived experience of eight co-researchers, women with breast cancer, ages 28-68, participating in a hospital based art studio program. Previous long-term studio participants with cancer voiced their stories prior to, and outside the context of this research study. The project was inspired by and grounded in respect for multiple realities … Lire la suite
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2022 — Acoustic and mechanical property analysis of value-added composite materialsRésumé
Globalization and modernization has led to plastic waste constituting more than 12% of the waste being generated. Plastic waste is anticipated to be 12000 million metric tonnes by 2050. With South Asian countries banning plastic, developed countries are required to explore alternatives, like recycling, reusing and reducing. Single use plastic consumerism has motivated this study to seek a sustainable re-usage of these plastics. This study is seeks to resolve the world’s second most dangerous environmental risk, which according to World Health Organization is, noise pollution. Noise has numerous negative impacts on humans and the environment. The research innovates material from … Lire la suite
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2013 — Integrated Energy System Modeling For Supporting Energy Systems Planning Under UncertaintyRésumé
Energy is an essential input for social and economic development throughout the world. Ensuring sufficient quantity and satisfactory quality in regional energy systems requires the formulation of a model to allocate energy resources and to properly develop renewable energy sources. In addition, the contradictions and interactions of economic development and environmental sustainability are significant concerns in energy system management. Accordingly, effective planning of regional energy systems is a priority for social, economic, and sustainable environmental development. In this research, an inexact chance-constrained mixed-integer programming (ICMI) model was developed to manage a regional energy system and greenhouse-gas (GHG) emissions under uncertainties … Lire la suite
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2016 — Heavy-Tailed Crack Distribution Families and ApplicationsRésumé
The heavy-tailedness and right-skewness are two typical features of loss data resulting from catastrophic natural phenomena such as severe weather events and earthquakes. In this thesis, we consider a new class of heavy-tailed crack distribution families as an extension of the three-parameter Gaussian crack distribution (Volodin and Dzhungurova, 2000) of which the right tail lacks exibility to t heavy-tailed observations. Several key distributional properties of the generalized crack distribution (Leiva et al., 2010, Bae and Volodin, 2014) are discussed with a particular emphasis on the tail behavior. The theoretical tail relationships between the auxiliary distribution and the resulting crack distribution … Lire la suite
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2015 — Permeability Distribution Estimation Based on Semi-Analytical Reservoir SimulatorRésumé
A Thesis Submitted to the Faculty of Graduate Studies and Research In Partial Fulfillment of the Requirements for the Degree of Master of Applied Science in Petroleum Systems Engineering, University of Regina. x, 102 p. Lire la suite
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2017 — Slow Sand Filtration Treatment of Agriculturally-Impacted WaterRésumé
Agricultural runoff and influence to surface water is a widely experienced problem across the world, particularly in treating that water for potable consumption. Although many effective methods have been researched, there are few that can be considered suitable for rural regions, in-home and on-site water treatment, and extremely smallscale design without requiring significant chemical use, operator skills and sophistication, and large-scale to be economically viable. This research focuses on the use of slow sand filtration (SSF) as one of the most effective methods for potable water treatment that can meet all of the above criteria. The experiments were designed using … Lire la suite
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2014 — Inexact Inventory-Theory-Based Mathematical Programming For Municipal Solid Waste Management Under Multiple UncertaintiesRésumé
With the population growth and the increase of waste generation throughout the world, municipal solid waste (MSW) management has become a critical issue for urban environment. Numerous factors, such as shrinking waste disposal capacities, increasing environmental and health concerns, and varying legislative and political conditions, influence the planning of MSW management in the real world. When planning MSW management, the problems of waste-flow allocation and waste inventory should be addressed by waste managers. Moreover, various uncertainties exist in these problems and may be further intensified due to complex features of the system components. Therefore, in response to these challenges, effective … Lire la suite
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2020 — Membrane Surface Functionalization Through Nanomaterials for Wastewater TreatmentRésumé
Water shortage is a global challenge with growing concern due to population growth, economic development, environmental pollution, and climate change. Membrane-based filtration technology has been regarded as one of the most efficient and cost-effective ways to retain water resources, because it offers excellent separation efficiency of pollutants with distinct advantages in easy maintenance, low chemical consumption, and small environmental footprint. However, typically polymeric membranes surfer from membrane fouling during filtration processes due to their surface hydrophobicity, which reduces the wastewater treatment efficiency and increases system operational cost. Therefore, membrane surface functionalization/modification has been studied to alter the surface properties for … Lire la suite
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2014 — A Rough Set Approach to Face RecognitionRésumé
Rough decision tables were originally proposed by Pawlak. The hierarchies of probabilistic decision tables (the hierarchies), defined in the context of Variable Precision Rough Set Theory (VPRS model), generalized this notion. In recent years, the hierarchies have been successfully applied to many research areas. Compared to other facial representation and recognition techniques, the hierarchies have several unique advantages. As a classifier, the hierarchies can update their structures dynamically and meanwhile maintain prior knowledge when new face images appear. In addition, the most relevant features of facial representation and recognition can be selected heuristically, and the structure of the template images … Lire la suite
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2022 — Sentiment Analysis Using Part-of-Speech-Based Feature Extraction and Game-Theoretic Rough SetsRésumé
Sentiment analysis, one of the trending natural language processing tasks, is used to mine opinions or sentiments from a given text. There are two significant challenges in sentiment analysis. The first challenge is the complexity in data pre-processing caused by the high dimensionality of textual data. The second is the uncertainty in classifying sentiment polarities due to the ambiguity of natural languages. Existing research may lack an efficient and straightforward solution to resolve the first issue; or discuss the trade-off between accuracy and coverage regarding uncertain data. To address these issues, we propose a model using part-of-speech-based feature extraction to … Lire la suite
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2019 — Quantification of Phase Behaviour and Physical Properties of Solvents-Heavy Oil/Bitumen-Water Systems at High Pressures and Elevated TemperaturesRésumé
Due to the excess heat loss of steam assisted gravity drainage (SAGD) processes and low oil production rate of solvent-based processes, the expanding solvent SAGD (ES-SAGD) process has been considered as a promising technique for enhancing heavy oil/bitumen recovery. The main ES-SAGD mechanisms include the heat transferred and dissolution of solvents into the heavy oil/bitumen to swell it and reduce its viscosity, which is closely related to the phase behaviour of solvents-heavy oil/bitumen-water systems. Thus, it is of fundamental and practical importance to accurately quantify the phase behaviour and physical properties of the aforementioned systems. A pragmatic technique has been … Lire la suite