Liste complète

La lecture de ces thèses nécessite une redirection vers le site du dépôt institutionnel.

 
  • Rachor, Geoffrey
    2022 — Psychological responses to COVID-19 and predictors of functional impairment among individuals living with chronic pain: A web-based population representation survey
    Résumé

    The ongoing COVID-19 pandemic has resulted in adverse physical and psychological impacts globally. Already vulnerable populations, such as individuals living with chronic pain, have been excessively impacted, having reported elevated levels of pain, functional impairment, stress, anxiety, depression, and traumatic stress symptoms. Evidence from previous epidemics and the current pandemic suggest that individuals with chronic pain may be particularly susceptible to certain pandemic-related stressors; however, research considering the multifaceted nature of COVID stress and associations with pain-related disability among individuals with chronic pain in the context of the pandemic have been limited. The current study was designed to 1) explore …  Lire la suite

  • Rahman, MD Syeedur
    2022 — Machine learning-based intrusion detection system in advanced metering infrastructure
    Résumé

    Smart meters are quickly being introduced to households all over the world. Consumers will benefit significantly from Advanced Metering Infrastructure (AMI). This high-tech equipment, however, is vulnerable to serious threats. To detect attacks, many authors recommend using Intrusion Detection Systems (IDSs). An IDS use a classifier to distinguish between known and unknown threats. It is challenging to choose the proper IDS category, however, as no single category can accurately identify all types of attacks. A smart grid's autonomous meter reading system is built on Advanced Metering Infrastructure (AMI). It blends traditional utility operations and asset management methods with wide-ranging elements …  Lire la suite

  • Razafimahatratra, Andriaherimanana Sarobidy
    2022 — The Erdős-Ko-Rado Theorem for Transitive Permutation Groups
    Résumé

    Given a transitive permutation group \(G \le Sym(\Omega)\), a subset \(F\) of \(G\) is \(\textit {intersecting}\) if any two elements of \(F\) agree on some elements of \(\Omega\). We are interested in the problem of finding the structure of the largest intersecting families of \(G\). This problem is the analogue of the \(\textit {Erdős-Ko-Rado (EKR) Theorem}\) for transitive permutation groups. We say that a transitive group \(G \le Sym(\Omega )\) has the \(\textit{EKR property}\) if any intersecting set of \(G\) has size at most the order of a stabilizer of a point of \(G\). Moreover, \(G\) has the \(\textit {strict-EKR …  Lire la suite

  • Rezaian, Narges
    2022 — Pilgrim
    Résumé

    This critical engagement paper is intended to reflect on the film I made for my Master of Fine Arts degree in media production. The first part describes the film and its main ideas and goals. Then it proceeds to elucidate the core and primary theories and concepts that founded my approach to cinema, particularly this project. Therefore, the theoretical part expands upon Jacques Lacan's concept of the Real and Julia Kristeva's idea of abjection (which she relates to the experience of immigration) and Slavoj Zizek’s Lacanian reading of partial objects as organs without bodies. After covering the theoretical aspects of …  Lire la suite

  • Romel, Monasib Ahmed
    2022 — Forecasting waste volume and identifying barriers of Canadian photovoltaic waste management
    Résumé

    The worldwide exponential upsurge of photovoltaic (PV) installations and the subsequent heights of PV waste is a swelling apprehension. The objectives of this study are to forecast the photovoltaic waste volume and to analyze the critical barriers for the photovoltaic waste management in Canada. In the first section, the solar waste volume forecasting was done using linear regression, 2nd order polynomial regression, and power regression models. In the second section, the barriers to photovoltaic solar waste management were identified through literature review and analyzed by formulating a framework from integrating Rough Analytical Hierarchy Process (RAHP), Decision-Making Trial and Evaluation Laboratory …  Lire la suite

  • Ruf, Sarah Michelle
    2022 — Effect of Textured Insoles on Gait Variability During Continous Overground Walking in Older Adult Fallers and Non-Fallers
    Résumé

    Falls represents one of the leading causes of injury and mortality in older adults. There is a need amongst gait clinicians and researchers to develop better methods to analyze fall risk. In addition to the calculation of mean spatiotemporal gait parameters, gait variability and the fractal scaling index (FSI) have been suggested to be sensitive markers of previous falls and predictive of future fall risk in older adults. Gait variability and the FSI of gait require hundreds of strides for valid analysis, which requires specific technology such as accelerometers to capture such large data sets. In addition to developing more …  Lire la suite

  • Saei, Nastaran
    2022 — Gamma-decay spectroscopy of sodium-26
    Résumé

    In November 2017, an experiment was performed at the Isotope Separator and Accelerator (ISAC) facility at TRIUMF, whose goal was to perform a precise measurement of the beta decay half life of 14O. Beams of 26Na, which are readily available at ISAC, were also used during that experiment for performing rate-dependent calibrations and performance tests of the GRIFFIN spectrometer for detecting gamma rays. The decay of 26Na provides an ideal test case to verify the methodology of the data analysis and ensure that GRIFFIN can provide accurate results, with minimal losses, even at relatively high-counting rates. Given that a previous …  Lire la suite

  • Sahlu, Kedist
    2022 — Public acceptance of facial recognition technology: Surveying attitudes, preferences, and concerns to inform policy development
    Résumé

    One application of artificial intelligence (AI) in public sector governance is facial recognition technology (FRT), which is used to identify or discover individuals by comparing an image of their face to a database of known faces for a match. Along with these applications, however, concerns surrounding FRT use by governments have emerged as critics raise issues not only about the technology itself, but also the implications for the expansion of the ‘surveillance society’ and specific concerns such as demonstrated racial biases in FRT. While FRT continues to be developed and used, and governments struggle to develop a legislative and regulatory …  Lire la suite

  • Sarkhosh, Payam
    2022 — MPS modeling of cross-sectional averaged shallow-water equations: Development and application
    Résumé

    In the last two decades, mesh-free or particle methods have been widely applied to solve shallow water equations. This research presents a moving particle simulation (MPS) scheme to spatially integrate the cross-sectional average shallow water equations, called 1D MPS-SWE solver. First, a first-order accurate numerical scheme in space and time is developed, applicable to prismatic open channels with closed boundaries. A density-ratio formula is derived for computing the cross-sectional area using the Newton-Raphson iteration and based on the particle number density concept. The newly derived formula does not miscompute the cross-sectional area if an incorrect searching radius parameter is selected, …  Lire la suite

  • Schmidt, Laurie Leigh
    2022 — Social Interaction and Physical Activity among Rural Older Adults
    Résumé

    Physical activity and social interaction are critical components in supporting health and well-being among older adults; therefore, there is significant merit in further exploration of the relationship between these concepts, particularly in rural settings where rates of physical activity are low. Social interaction is also associated with numerous health benefits to older adults; however, little research exists on the association between social interaction and physical activity among rural dwelling older adults. The current COVID-19 pandemic has also placed additional barriers on physical activity participation and social interaction, particularly among older adults who are considered a high-risk population where, in an …  Lire la suite

  • Senicar, Hannah Marie
    2022 — Ruralia
    Résumé

    Ruralia is a collection of original lyric poetry written to explore the feelings of longing and displacement that underscore my relationship to my prairie home. The collection draws on contemporary poetics and theory related to nostalgia, the lyric, the liminal, and the uncanny to examine the speakers’ continued attempts to define and attain a sense of “home” amid recurring transition and loss. Read as a regionalist work, Ruralia best aligns with the contemporary post-prairie poetic movement, which is characterized, in part, by its urban settings, location-based anxiety, and an absence of pastoral landscapes typical of traditional prairie poetry.  Lire la suite

  • Shalabi, Roqayia Mohammad
    2022 — The Schurian association schemes associated with parabolic subgroups of Coxeter groups
    Résumé

    We determine all cases where double coset algebras of string Coxeter groups with respect to maximal parabolic subgroups have the involutive double coset property. For infinite affine string Coxeter groups, this property was only known to occur in the case of the vertex stabilizer for the types ˜C2 and ˜G 2, our new work adds the infinite Coxeter groups of type ˜Cn(n > 2) and ˜F4 to the list. Finite homomorphic images of these groups include the automorphism groups of abstract regular polytopes. An application of the above result is that polytopes of these types will always have polyhedral realization cones. …  Lire la suite

  • Shankar, Vignesh
    2022 — Clinical-Gan: Trajectory Forecasting of Clinical Events using Transformer and Generative Adversarial Networks
    Résumé

    Predicting the trajectory of a disease at an early stage can aid physicians in offering effective treatment and prompt care to patients. Previous work has used Electronic Health Record (EHR) data and leveraged sequence models to forecast patients’ diagnosis, procedure, and medication codes. However, current deep learning models have difficulty learning from such EHR data—which comprises multivariate time series and multimodal data distribution. We propose a novel method called Clinical-GAN to tackle this learning issue, which combines Transformer and Generative Adversarial Networks (GAN) to forecast diagnosis, procedure, and prescription drugs while maintaining the interpretability of the model’s outcome. A Transformer …  Lire la suite

  • Sharma, Samrachana
    2022 — Deciphering Metabolic Adaptations in Salmonella Enterica Serovar Typhimurium 14028S During Batch Growth and Gentamicin Exposure Using Absolute Quantitative Proteomics
    Résumé

    Understanding the mechanisms underlying antibiotic-mediated bacterial cell death is crucial for the development of novel strategies to control bacterial infections. Although the primary targets of antibiotics are well known, the actual molecular events leading to bacterial growth inhibition and cell death remain unclear. Recent studies have suggested that the interaction of antibiotics with their primary targets in bacteria results in harmful events, such as futile cycles, activation of toxic pathways, and accumulation of harmful by-products that cause bacterial growth inhibition and death. However, these events remain only partially understood and evidence suggests an intricate interplay between metabolic activities of the …  Lire la suite

  • Shields, Robyn Erin
    2022 — Detailed item analyses of the Postraumatic Stress Disorder Checklist for DSM-5 (PCL-5): Use in public safety personnel
    Résumé

    Public safety personnel (PSP; e.g., correctional workers, firefighters, paramedics, police officers) are regularly exposed to diverse potentially psychologically traumatic events (PPTE). More frequent exposure to PPTE is associated with greater reporting of posttraumatic stress disorder (PTSD) symptoms. In a landmark study of Canadian PSP, more than 23% screen positively for PTSD. PSP depend on PTSD screening tools to comprehensively assess their symptoms as part of early warning systems that facilitate rapid access to evidence-based care. The PTSD Checklist – Version 5 (PCL-5) is a commonly used PTSD screening tool. A recent study (Shields et al., 2017) using the PCL-5 evidenced …  Lire la suite

  • Singh, Jyotpal
    2022 — Cardiac cycle timing intervals in acute COVID-19 and recovered COVID-19 with sustained symptoms
    Résumé

    Research is available to show that COVID-19 can result in both acute and sustained cardiac damage. Acute cardiac damage may be due to elevated inflammatory responses and can result in ischemia, which can lead to impairments in the cardiac cycle timing events. The purpose of this project was threefold: 1) to characterise cardiac cycle timing intervals in patients with COVID-19, 2) to understand the mechanisms that compromise cardiac function in post-acute COVID-19 syndrome (PACS)/long COVID, and 3) to identify unique cardiac dysfunction which can occur due to COVID-19 as compared to cardiac and respiratory disease. First, case studies showed that …  Lire la suite

  • Singh, Suby
    2022 — Pneumonia Detection with Game-Theoretic Rough Sets
    Résumé

    Pneumonia causes severe repercussions if not acted upon at the right time. Machine learning has been applied to classify chest X-ray images into pneumonia-positive and pneumonia-negative classes to allow an early diagnosis and support medical experts’ decisions about pneumonia. Nonetheless, the previous attempt focus on binary classification that may not consider the possibility of the presence of uncertain information in chest X-ray images. This method forces the system to have definite and unreliable decision on suspicious cases of pneumonia. The three-way classification can overcome the shortcoming of binary classification by classifying X-ray images into three classes, pneumonia-positive class to categorize …  Lire la suite

  • Steffen, Dayle Flora
    2022 — Canadian Multiculturalism Its Political Origins Under Pierre Trudeau
    Résumé

    With social injustice and equality movements headlining the media, Canada’s reputation as a multicultural nation has come under considerable scrutiny. To understand why, it has become increasingly important for scholars to critically evaluate where the idea of multiculturalism in Canada came from, under what context it was introduced, and how it was received. Following an empirical approach, this thesis examines the introduction of multiculturalism as an official federal policy, as delivered to the Canadian Parliament by Prime Minister Pierre Trudeau on October 8, 1971. By starting here, this thesis examines the early usage of the word “multiculturalism” in a political …  Lire la suite

  • Stewart, Sheena Ann
    2022 — Climate change denial and associated characteristics in Saskatchewan agricultural producers
    Résumé

    Climate change (CC) poses a threat to agricultural sustainability, which is important in Saskatchewan as agriculture is a major occupation and driver of the economy. Agriculture involves both creation and mitigation of emissions related to CC. To implement adaptation and mitigation practices producers should accept CC as fact; however, CC denial is prevalent in Saskatchewan. This study provided a snapshot of views toward CC and examined characteristic influences on CC denial in 330 Saskatchewan producers. To assess whether personal characteristics influence changes in CC understanding and perception following a CC information video, a subset of participants were randomized to an …  Lire la suite

  • Swerdfeger, Erin Christina
    2022 — Movement Patterns of Migratory Bats during Autumn Migration
    Résumé

    Migration routes of long-distance migratory tree-roosting bats (Lasiurus cinereus, L. borealis and Lasionycteris noctivagans) in North America are poorly understood. Large numbers of bat fatalities recorded at wind energy facilities are contributing to likely population declines of these species. Most documented migratory bat fatalities at wind energy installations occur during autumn migration. There is some urgency to better understand migration patterns of these bats, because like many other jurisdictions, the Province of Saskatchewan plans to dramatically increase wind power generation capacity. I installed passive acoustic detectors in southern Saskatchewan during the migration period to measure migratory bat activity. I placed …  Lire la suite

  • Sywanyk, Byron Gordon
    2022 — Rituals of Survival: The Archetypal Landscape in Canadian Horror Cinema
    Résumé

    This thesis explores the narrative tropes and patterns which appear in many Canadian Horror films of past and present, as well as the Indigenous motifs they adopt with questionable levels of ethical responsibility. Building on Margaret Atwood’s critical evaluation of Canadian literature, Survival (1972), a connecting line is drawn between the literary Weird Fiction style and the “nature horror” films produced in Canada. This connection is pursued by drawing comparisons between Algernon Blackwood’s novella “The Wendigo” (1910), and Ghostkeeper (1981), a tax-shelter film directed by Jim Makichuk. Explorations of the cultural roots of the Wendigo legend, combined with a deep …  Lire la suite

  • Talukder, Monotosh
    2022 — Parameter variations in Hector SLAM
    Résumé

    The technique of Simultaneous Localization and Mapping (SLAM) has been broadly studied and used in different mobile robot applications. SLAM algorithms can build maps of an unknown environment and at the same time estimate the robot position. There are several different SLAM algorithms, such as: Gmapping, Hector SLAM, and Tiny SLAM etc. Each of these SLAM algorithms can be used with mobile robots, which uses a laser-based sensor. This thesis presents a method of evaluating the impact of parameter variations on map degradation using SLAM. The mobile robot used in this work is connected to a laser sensor and the …  Lire la suite

  • Tandra, Sandeep Reddy
    2022 — Personalized and Communication Cost Reduction Models in Federated Learning
    Résumé

    Artificial Intelligence (AI) has widespread applications, including adding personalization to the customer experience, or lifestyle recommendations that sometimes raise concern regarding data privacy; especially in medical applications. Federated learning is used to solve this problem of user privacy. Most of the federated models are implemented by connecting billions of edge devices for privacy-preserved, on-device training. However, edge devices have limited network resources, which causes hindrance to effective communication of the machine learning models. Researchers have used several techniques like quantization and asynchronous updates to reduce the communication costs, but these techniques cause an improvement of just 10-15%. Furthermore, most of …  Lire la suite

  • Thomson, Matthew Lewis James
    2022 — The purpose of empire: Popular perceptions of imperialism during and after the Crimean War
    Résumé

    The following thesis is an exploration of early Victorian Britain and its relationship to the Crimean War of 1854. Beginning with the social and economic malaise of the 1840s, including a succession of military losses or costly colonial campaigns across the Imperial frontier in Afghanistan or Northern India, British society became increasingly concerned with its image as a military superpower amongst other European nations. This anxiety doubled after the birth of the Second French Empire following the 1849 Revolution, and the continued expansion of Russian territory and influence across central Asia under the reign of Tsar Nicholas I. Following a …  Lire la suite

  • Tran, Vivian
    2022 — Systematic implementation and evaluation of an app-based community platform for assessing pain in long-term care facilities
    Résumé

    Pain is under-assessed and under-addressed among older adults living in long-term care (LTC) facilities. The Pain Assessment Checklist for Seniors with Limited Ability to Communicate-II (PACSLAC-II) is a validated assessment tool for health professionals to assess pain in residents with dementia. A tablet app, based on the PACSLAC-II, has been shown to have clinical utility. This study involved the systematic implementation and evaluation of a new community platform that works in conjunction with an updated PACSLAC-II app. The community platform is comprised of (a) a quality indicator (QI) feature, which allows health care professionals to view and share their unit …  Lire la suite

  • Trott, Kelsey Colin
    2022 — Examining the effects of legal articulation in memory accuracy
    Résumé

    The present research investigated the effects of legal articulation on police cadet memory performance in applied contexts. Legal articulation is a memory retrieval framework used by police officers to recall their actions for legal procedures and courtroom testimony. This research compared the level of detail (quantity) and accuracy (quality) of police cadet’s memories for a low-stress crime event under two different memory retrieval frameworks: legal articulation and serial recall. The findings can be used to guide police training programs to use procedures that support reliable memory recalls. No significant differences were found after the initial retrieval; however, significant differences were …  Lire la suite

  • Vagharfard, Abbas
    2022 — Hot Tensile Behavior of Ti-6Al-4V Alloy Using Artificial Neural Network and Constitutive Modeling
    Résumé

    Nowadays a considerable quantity of metallic parts has been manufactured via metal forming processes, such as rolling, stamping, drawing, etc. at the ambient temperature. However, limited workability of some alloys may lead to shaping them at higher temperatures, where the material can flow more easily and the part would contain less defects. Since the stress at low temperature is a function of strain (the relative amount of deformation), the flow behavior of material at these temperature is rather straightforward. At high temperature other parameters, namely temperature and strain rates, should be also taken into account in predicting the flow stress. …  Lire la suite

  • Wang, Xiashengyou
    2022 — Fear of Terrorism and Attitudes Toward Terrorists in a Sample of University Students in a Western Canadian City
    Résumé

    Terrorism can be broadly defined as “the intentional use of, or threat to use, violence against civilians or against civilian targets, in order to attain political aims” (Ganor, 2002: 294). Without a doubt, terrorism provokes deep fear and insecurity. The fear of terrorism has now become one of the major global issues. In fact, civilians and noncombatants are becoming the major targets of terrorism groups to reshape the political order. The purpose of the present study is to explore fear of terrorism and punitive attitudes toward terrorism in a sample of university students. In terms of research methodology, a convenience …  Lire la suite

  • Watson-Jones, Peta-Gay
    2022 — "A Grip and a Dream": Voices of Older Carribean Immigrant Women in Saskatchewan, Canada
    Résumé

    This hermeneutic phenomenological study integrates transnational feminism to describe the lived experiences of older Caribbean immigrant women living in Saskatchewan, who immigrated to Canada in early adulthood in the 1960s to1980s. A purposive and snowball recruitment method was used to select ten female participants that were interviewed. The participants' ages range from 65 to 83 years. To assess the impact of social relationships on aging and quality of life this study used in-depth, individual, and semi-structured interviews for data collection. The data collected were audio-taped followed by the transcription and data analysis. Field notes and reflexivity were documented to assist …  Lire la suite

  • Wilson, Kenneth Clayton
    2022 — Walking and thinking: Critical reflections on “Walking the Bypass: A Meditation on Place”
    Résumé

    ôma kihci-kiskinwahamasinahikan âpacihtâmakan êsa kwayask itahkamikisiwina taitwêstamâkêmakahk ôma pimohtêwin-êkwa-masinahikêwin kiskinwahamawi-osîhcikâsowin kihci-kiskinwahamasinahikan “ê-pimohtêhk âsokanihk: ê-mâmitonêyihcikêhk ôma itâpatakêyimisowin,” ê-itwêmakahk kwayask âcimowin ôma pêyakwan wîhowin ohci. Nîkân masinahikanêkinohk atamiskawikow ôma atoskêwin, tânisi ê-pimakotêk, êkwa mîna kakwêcihkêmowina: “pimohtêwin cî ka-kî-mêskwacipayin pakwâcaskiy isi ôma kihci-askiy?” êkwa, misawâc ê-kihcêyihtakwâhk, “môniyâwak cî ka-kî-nisitohtamwak ôma ôta askîhk ê isipimohtêcik?”. nîso masinahikanêkinohk pîkiskwêmakan tânisi kâ-pimohtêhk naspasinahikân ôma ê-isi-âniskôstêk isi ôma atoskêwinihk; nôkohcikêmakan nanâtohk âcimowina kâmiyonâkwahk êkwa kâ-isîhcikêhk isi-pimohtêwin êsa ê-kikinikâtêk ôma atoskêwin. Nisto masinahikanêkinohk pîkiskwêmakan tânisi kâ-itahkamikisihk kwayask, tâpiskôc kwayask itahkamikisiwina êwako askiy êkwa kâ-nisitohtamâhk; iyiniwi-kiskêyihtamowin ôma ê-miyoitôtâmiyit askiy êkwa atâhko-kiskinwahamâtowin; êkwa tânisi kâ-nisitohtâsoyahk êsa askiy ohci, ê-mêskwacipayihk itahkamikisiwina, …  Lire la suite

  • Xia, Dandan
    2022 — Experimental and numerical investigations on wind characteristics and wind induced vibrations of bridge structures
    Résumé

    As more and more flexible structures such as long span bridges and suspension bridges are built in the world, their increased flexibility can cause serious concerns for researchers and engineers. For such structures, wind load has become one of the most important dominant loads under consideration in the analysis and design of structures. Thus, accurate and reliable evaluations of the wind characteristics are critical, as the evaluations may provide a solid foundation for which the design of wind-resistant structures can be relied upon. Therefore, according to the importance and sensitivity of this subject in some special applications, the current research …  Lire la suite

  • Xiao, Mei
    2022 — Modified half logistic - exponentiated Kumaraswamy distribution and applications
    Résumé

    The statistical model of mixture distributions has become an important tool for analyzing complicated phenomena in the real world. This approach has a wide range of applications in the fields of biology, medicine, environment and engineering. Based on the characteristics of the Exponentiated Kumaraswamy model, researchers have carried out a series of explorations and studies. However, in order to provide a more appropriate model to support real-life applications and to make our data analysis more reliable, it is still meaningful to explore new models. Therefore, in this thesis, we propose a novel mixture model, which is a modified one based …  Lire la suite

  • Zhai, Yuanyuan
    2022 — Assessing factors contributing to the changes in historical temperature extremes and investigating future changes in extreme events
    Résumé

    Temperature extremes are among the most studied features in the climate research community using both the observed datasets and the simulated outputs from climate models. Such extremes often lead to irreversible societal, ecological, and economic consequences across the globe. Moreover, projected results from climate models have also indicated that changes in future temperature-related extremes will become more frequent and intense with global warming. Therefore, comprehensive knowledge of long-term changes in the observed temperature extremes cannot only help to detect, attribute, and project climate change but can also enhance the development of effective mitigation and adaptation strategies (at regional or site-specific …  Lire la suite

  • Zhang, Xiaoyue
    2022 — Multi-level energy-environmental-economic modeling for supporting low-carbon transition of power systems under uncertainty
    Résumé

    To combat climate change, the low-carbon transition of electricity systems is of critical significance. Such transition is a complex and long-term process, involving many social, economic, environmental, technical and political factors, and requires a complete analysis for every aspect of the transition pathways. In this dissertation, low-carbon transition strategies of electricity systems were studied from three levels. A set of identification, optimization, and simulation models were developed to facilitate the analysis. For the efforts made at the technical level, the necessity and feasibility of introducing an emerging low-carbon power generating technology (i.e., SMRs) have been studied, with a focus on …  Lire la suite

  • Zhao, Min
    2022 — Integrated optimization and performance evaluation of hybrid steam-solvent processes in a post-CHOPS reservoir with consideration of wormhole networks
    Résumé

    As for the enormous heavy oil resources deposited in Western Canada (i.e., Alberta and Saskatchewan), cold heavy oil production with sand (CHOPS) has been the most common primary production technique to produce heavy oil, water, gas, and sand altogether by using progressive cavity pumps (PCPs). In general, typical recovery factors are low about 5-15% of original-oil-in-place (OOIP) due mainly to the in-situ generation of open channels (i.e., wormholes) and foamy oil in the unconsolidated formations, and thus efficient enhanced oil recovery (EOR) techniques are required for the post-CHOPS reservoirs. In this study, techniques have been developed to evaluate performance of …  Lire la suite

  • Zhao, Zulong
    2022 — Quantification of nonequilibrium phase behaviour of alkane solvents/CO2/alkaline water-heavy oil systems under reservoir conditions
    Résumé

    During the primary stage, the in-situ generated foamy oil has been found to be responsible for an unexpected high recovery factor, a remarkably low gas-oil ratio (GOR), and a higher-than-expected well production rate. Such a phenomenon can also be artificially induced by injecting alkane solvents (e.g., methane and propane) or CO2 to a heavy oil reservoir; however, the gas exsolution of foamy oil is not yet well understood due mainly to the complicated physical processes. On the other hand, the associated emulsifications resulted from the in-situ generated surfactant(s) during alkaline flooding in a heavy oil reservoir lead to an increase …  Lire la suite

  • Zhou, Xin
    2022 — Comparison of Random Forests, Support Vector Machine and Artificial Neural Network Methods for Agriculture Land Cover Classification
    Résumé

    Land cover classification is critical in remote sensing. Reliable classification on land cover is required to address a wide range of environmental issues. Over recent years, the application of machine learning techniques in remote sensing has attracted wide attention. Machine learning has the capacity to classify land cover in remotely sensed photos effectively and efficiently. Machine learning techniques, such as Random Forests (RF), Support Vector Machines (SVM) and Artificial Neural Networks (ANN) can be applied in land cover classification. However, putting a machine learning categorization system in place is not easy, especially in the field of agricultural land classifications. Very …  Lire la suite