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Govaerts</title> <meta name="description" content="Search results for: Willy Govaerts"> <meta name="keywords" content="Willy Govaerts"> <meta name="viewport" content="width=device-width, initial-scale=1, minimum-scale=1, maximum-scale=1, user-scalable=no"> <meta charset="utf-8"> <link href="https://cdn.waset.org/favicon.ico" type="image/x-icon" rel="shortcut icon"> <link href="https://cdn.waset.org/static/plugins/bootstrap-4.2.1/css/bootstrap.min.css" rel="stylesheet"> <link href="https://cdn.waset.org/static/plugins/fontawesome/css/all.min.css" rel="stylesheet"> <link href="https://cdn.waset.org/static/css/site.css?v=150220211555" rel="stylesheet"> </head> <body> <header> <div class="container"> <nav class="navbar navbar-expand-lg navbar-light"> <a class="navbar-brand" href="https://waset.org"> <img src="https://cdn.waset.org/static/images/wasetc.png" alt="Open Science Research Excellence" title="Open Science Research Excellence" /> </a> <button class="d-block d-lg-none navbar-toggler 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id="custom-search-input"> <div class="input-group"> <i class="fas fa-search"></i> <input type="text" class="search-query" name="q" placeholder="Author, Title, Abstract, Keywords" value="Willy Govaerts"> <input type="submit" class="btn_search" value="Search"> </div> </div> </form> </div> </div> <div class="row mt-3"> <div class="col-sm-3"> <div class="card"> <div class="card-body"><strong>Commenced</strong> in January 2007</div> </div> </div> <div class="col-sm-3"> <div class="card"> <div class="card-body"><strong>Frequency:</strong> Monthly</div> </div> </div> <div class="col-sm-3"> <div class="card"> <div class="card-body"><strong>Edition:</strong> International</div> </div> </div> <div class="col-sm-3"> <div class="card"> <div class="card-body"><strong>Paper Count:</strong> 7</div> </div> </div> </div> <h1 class="mt-3 mb-3 text-center" style="font-size:1.6rem;">Search results for: Willy Govaerts</h1> <div class="card paper-listing mb-3 mt-3"> <h5 class="card-header" style="font-size:.9rem"><span class="badge badge-info">7</span> Stability Analysis of Rabies Model with Vaccination Effect and Culling in Dogs</h5> <div class="card-body"> <p class="card-text"><strong>Authors:</strong> <a href="https://publications.waset.org/abstracts/search?q=Eti%20Dwi%20Wiraningsih">Eti Dwi Wiraningsih</a>, <a href="https://publications.waset.org/abstracts/search?q=Folashade%20Agusto"> Folashade Agusto</a>, <a href="https://publications.waset.org/abstracts/search?q=Lina%20Aryati"> Lina Aryati</a>, <a href="https://publications.waset.org/abstracts/search?q=Syamsuddin%20Toaha"> Syamsuddin Toaha</a>, <a href="https://publications.waset.org/abstracts/search?q=Suzanne%20Lenhart"> Suzanne Lenhart</a>, <a href="https://publications.waset.org/abstracts/search?q=Widodo"> Widodo</a>, <a href="https://publications.waset.org/abstracts/search?q=Willy%20Govaerts"> Willy Govaerts</a> </p> <p class="card-text"><strong>Abstract:</strong></p> This paper considers a deterministic model for the transmission dynamics of rabies virus in the wild dogs-domestic dogs-human zoonotic cycle. The effect of vaccination and culling in dogs is considered on the model, then the stability was analysed to get basic reproduction number. We use the next generation matrix method and Routh-Hurwitz test to analyze the stability of the Disease-Free Equilibrium and Endemic Equilibrium of this model. <p class="card-text"><strong>Keywords:</strong> <a href="https://publications.waset.org/abstracts/search?q=stability%20analysis" title="stability analysis">stability analysis</a>, <a href="https://publications.waset.org/abstracts/search?q=rabies%20model" title=" rabies model"> rabies model</a>, <a href="https://publications.waset.org/abstracts/search?q=vaccination%20effect" title=" vaccination effect"> vaccination effect</a>, <a href="https://publications.waset.org/abstracts/search?q=culling%20in%20dogs" title=" culling in dogs"> culling in dogs</a> </p> <a href="https://publications.waset.org/abstracts/21184/stability-analysis-of-rabies-model-with-vaccination-effect-and-culling-in-dogs" class="btn btn-primary btn-sm">Procedia</a> <a href="https://publications.waset.org/abstracts/21184.pdf" target="_blank" class="btn btn-primary btn-sm">PDF</a> <span class="bg-info text-light px-1 py-1 float-right rounded"> Downloads <span class="badge badge-light">628</span> </span> </div> </div> <div class="card paper-listing mb-3 mt-3"> <h5 class="card-header" style="font-size:.9rem"><span class="badge badge-info">6</span> Establishing Multi-Leveled Computability as a Living-System Evolutionary Context</h5> <div class="card-body"> <p class="card-text"><strong>Authors:</strong> <a href="https://publications.waset.org/abstracts/search?q=Ron%20Cottam">Ron Cottam</a>, <a href="https://publications.waset.org/abstracts/search?q=Nils%20Langloh"> Nils Langloh</a>, <a href="https://publications.waset.org/abstracts/search?q=Willy%20Ranson"> Willy Ranson</a>, <a href="https://publications.waset.org/abstracts/search?q=Roger%20Vounckx"> Roger Vounckx</a> </p> <p class="card-text"><strong>Abstract:</strong></p> We start by formally describing the requirements for environmental-reaction survival computation in a natural temporally-demanding medium, and develop this into a more general model of the evolutionary context as a computational machine. The effect of this development is to replace deterministic logic by a modified form which exhibits a continuous range of dimensional fractal diffuseness between the isolation of perfectly ordered localization and the extended communication associated with nonlocality as represented by pure causal chaos. We investigate the appearance of life and consciousness in the derived general model, and propose a representation of Nature within which all localizations have the character of quasi-quantal entities. We compare our conclusions with Heisenberg’s uncertainty principle and nonlocal teleportation, and maintain that computability is the principal influence on evolution in the model we propose. <p class="card-text"><strong>Keywords:</strong> <a href="https://publications.waset.org/abstracts/search?q=computability" title="computability">computability</a>, <a href="https://publications.waset.org/abstracts/search?q=evolution" title=" evolution"> evolution</a>, <a href="https://publications.waset.org/abstracts/search?q=life" title=" life"> life</a>, <a href="https://publications.waset.org/abstracts/search?q=localization" title=" localization"> localization</a>, <a href="https://publications.waset.org/abstracts/search?q=modeling" title=" modeling"> modeling</a>, <a href="https://publications.waset.org/abstracts/search?q=nonlocality" title=" nonlocality"> nonlocality</a> </p> <a href="https://publications.waset.org/abstracts/71088/establishing-multi-leveled-computability-as-a-living-system-evolutionary-context" class="btn btn-primary btn-sm">Procedia</a> <a href="https://publications.waset.org/abstracts/71088.pdf" target="_blank" class="btn btn-primary btn-sm">PDF</a> <span class="bg-info text-light px-1 py-1 float-right rounded"> Downloads <span class="badge badge-light">399</span> </span> </div> </div> <div class="card paper-listing mb-3 mt-3"> <h5 class="card-header" style="font-size:.9rem"><span class="badge badge-info">5</span> A Machine Learning-Based Approach to Capture Extreme Rainfall Events</h5> <div class="card-body"> <p class="card-text"><strong>Authors:</strong> <a href="https://publications.waset.org/abstracts/search?q=Willy%20Mbenza">Willy Mbenza</a>, <a href="https://publications.waset.org/abstracts/search?q=Sho%20Kenjiro"> Sho Kenjiro</a> </p> <p class="card-text"><strong>Abstract:</strong></p> Increasing efforts are directed towards a better understanding and foreknowledge of extreme precipitation likelihood, given the adverse effects associated with their occurrence. This knowledge plays a crucial role in long-term planning and the formulation of effective emergency response. However, predicting extreme events reliably presents a challenge to conventional empirical/statistics due to the involvement of numerous variables spanning different time and space scales. In the recent time, Machine Learning has emerged as a promising tool for predicting the dynamics of extreme precipitation. ML techniques enables the consideration of both local and regional physical variables that have a strong influence on the likelihood of extreme precipitation. These variables encompasses factors such as air temperature, soil moisture, specific humidity, aerosol concentration, among others. In this study, we develop an ML model that incorporates both local and regional variables while establishing a robust relationship between physical variables and precipitation during the downscaling process. Furthermore, the model provides valuable information on the frequency and duration of a given intensity of precipitation. <p class="card-text"><strong>Keywords:</strong> <a href="https://publications.waset.org/abstracts/search?q=machine%20learning%20%28ML%29" title="machine learning (ML)">machine learning (ML)</a>, <a href="https://publications.waset.org/abstracts/search?q=predictions" title=" predictions"> predictions</a>, <a href="https://publications.waset.org/abstracts/search?q=rainfall%20events" title=" rainfall events"> rainfall events</a>, <a href="https://publications.waset.org/abstracts/search?q=regional%20variables" title=" regional variables"> regional variables</a> </p> <a href="https://publications.waset.org/abstracts/168878/a-machine-learning-based-approach-to-capture-extreme-rainfall-events" class="btn btn-primary btn-sm">Procedia</a> <a href="https://publications.waset.org/abstracts/168878.pdf" target="_blank" class="btn btn-primary btn-sm">PDF</a> <span class="bg-info text-light px-1 py-1 float-right rounded"> Downloads <span class="badge badge-light">88</span> </span> </div> </div> <div class="card paper-listing mb-3 mt-3"> <h5 class="card-header" style="font-size:.9rem"><span class="badge badge-info">4</span> Overall Student Satisfaction at Tabor School of Education: An Examination of Key Factors Based on the AUSSE SEQ</h5> <div class="card-body"> <p class="card-text"><strong>Authors:</strong> <a href="https://publications.waset.org/abstracts/search?q=Francisco%20Ben">Francisco Ben</a>, <a href="https://publications.waset.org/abstracts/search?q=Tracey%20Price"> Tracey Price</a>, <a href="https://publications.waset.org/abstracts/search?q=Chad%20Morrison"> Chad Morrison</a>, <a href="https://publications.waset.org/abstracts/search?q=Victoria%20Warren"> Victoria Warren</a>, <a href="https://publications.waset.org/abstracts/search?q=Willy%20Gollan"> Willy Gollan</a>, <a href="https://publications.waset.org/abstracts/search?q=Robyn%20Dunbar"> Robyn Dunbar</a>, <a href="https://publications.waset.org/abstracts/search?q=Frank%20Davies"> Frank Davies</a>, <a href="https://publications.waset.org/abstracts/search?q=Mark%20Sorrell"> Mark Sorrell</a> </p> <p class="card-text"><strong>Abstract:</strong></p> This paper focuses particularly on the educational aspects that contribute to the overall educational satisfaction rated by Tabor School of Education students who participated in the Australasian Survey of Student Engagement (AUSSE) conducted by the Australian Council for Educational Research (ACER) in 2010, 2012 and 2013. In all three years of participation, Tabor ranked first especially in the area of overall student satisfaction. By using a single level path analysis in relation to the AUSSE datasets collected using the Student Engagement Questionnaire (SEQ) for Tabor School of Education, seven aspects that contribute to overall student satisfaction have been identified. There appears to be a direct causal link between aspects of the Supportive Learning Environment, Work Integrated Learning, Career Readiness, Academic Challenge, and overall educational satisfaction levels. A further three aspects, being Student and Staff Interactions, Active Learning, and Enriching Educational Experiences, indirectly influence overall educational satisfaction levels. <p class="card-text"><strong>Keywords:</strong> <a href="https://publications.waset.org/abstracts/search?q=attrition" title="attrition">attrition</a>, <a href="https://publications.waset.org/abstracts/search?q=retention" title=" retention"> retention</a>, <a href="https://publications.waset.org/abstracts/search?q=educational%20experience" title=" educational experience"> educational experience</a>, <a href="https://publications.waset.org/abstracts/search?q=pre-service%20teacher%20education" title=" pre-service teacher education"> pre-service teacher education</a>, <a href="https://publications.waset.org/abstracts/search?q=student%20satisfaction" title=" student satisfaction"> student satisfaction</a> </p> <a href="https://publications.waset.org/abstracts/50848/overall-student-satisfaction-at-tabor-school-of-education-an-examination-of-key-factors-based-on-the-ausse-seq" class="btn btn-primary btn-sm">Procedia</a> <a href="https://publications.waset.org/abstracts/50848.pdf" target="_blank" class="btn btn-primary btn-sm">PDF</a> <span class="bg-info text-light px-1 py-1 float-right rounded"> Downloads <span class="badge badge-light">352</span> </span> </div> </div> <div class="card paper-listing mb-3 mt-3"> <h5 class="card-header" style="font-size:.9rem"><span class="badge badge-info">3</span> Review of Numerical Models for Granular Beds in Solar Rotary Kilns for Thermal Applications</h5> <div class="card-body"> <p class="card-text"><strong>Authors:</strong> <a href="https://publications.waset.org/abstracts/search?q=Edgar%20Willy%20Rimarachin%20Valderrama">Edgar Willy Rimarachin Valderrama</a>, <a href="https://publications.waset.org/abstracts/search?q=Eduardo%20Rojas%20Parra"> Eduardo Rojas Parra</a> </p> <p class="card-text"><strong>Abstract:</strong></p> Thermal energy from solar radiation is widely present in power plants, food drying, chemical reactors, heating and cooling systems, water treatment processes, hydrogen production, and others. In the case of power plants, one of the technologies available to transform solar energy into thermal energy is by solar rotary kilns where a bed of granular matter is heated through concentrated radiation obtained from an arrangement of heliostats. Numerical modeling is a useful approach to study the behavior of granular beds in solar rotary kilns. This technique, once validated with small-scale experiments, can be used to simulate large-scale processes for industrial applications. This study gives a comprehensive classification of numerical models used to simulate the movement and heat transfer for beds of granular media within solar rotary furnaces. In general, there exist three categories of models: 1) continuum, 2) discrete, and 3) multiphysics modeling. The continuum modeling considers zero-dimensional, one-dimensional and fluid-like models. On the other hand, the discrete element models compute the movement of each particle of the bed individually. In this kind of modeling, the heat transfer acts during contacts, which can occur by solid-solid and solid-gas-solid conduction. Finally, the multiphysics approach considers discrete elements to simulate grains and a continuous modeling to simulate the fluid around particles. This classification allows to compare the advantages and disadvantages for each kind of model in terms of accuracy, computational cost and implementation. <p class="card-text"><strong>Keywords:</strong> <a href="https://publications.waset.org/abstracts/search?q=granular%20beds" title="granular beds">granular beds</a>, <a href="https://publications.waset.org/abstracts/search?q=numerical%20models" title=" numerical models"> numerical models</a>, <a href="https://publications.waset.org/abstracts/search?q=rotary%20kilns" title=" rotary kilns"> rotary kilns</a>, <a href="https://publications.waset.org/abstracts/search?q=solar%20thermal%20applications" title=" solar thermal applications"> solar thermal applications</a> </p> <a href="https://publications.waset.org/abstracts/192090/review-of-numerical-models-for-granular-beds-in-solar-rotary-kilns-for-thermal-applications" class="btn btn-primary btn-sm">Procedia</a> <a href="https://publications.waset.org/abstracts/192090.pdf" target="_blank" class="btn btn-primary btn-sm">PDF</a> <span class="bg-info text-light px-1 py-1 float-right rounded"> Downloads <span class="badge badge-light">33</span> </span> </div> </div> <div class="card paper-listing mb-3 mt-3"> <h5 class="card-header" style="font-size:.9rem"><span class="badge badge-info">2</span> Knowledge Management Barriers: A Statistical Study of Hardware Development Engineering Teams within Restricted Environments</h5> <div class="card-body"> <p class="card-text"><strong>Authors:</strong> <a href="https://publications.waset.org/abstracts/search?q=Nicholas%20S.%20Norbert%20Jr.">Nicholas S. Norbert Jr.</a>, <a href="https://publications.waset.org/abstracts/search?q=John%20E.%20Bischoff"> John E. Bischoff</a>, <a href="https://publications.waset.org/abstracts/search?q=Christopher%20J.%20Willy"> Christopher J. Willy</a> </p> <p class="card-text"><strong>Abstract:</strong></p> Knowledge Management (KM) is globally recognized as a crucial element in securing competitive advantage through building and maintaining organizational memory, codifying and protecting intellectual capital and business intelligence, and providing mechanisms for collaboration and innovation. KM frameworks and approaches have been developed and defined identifying critical success factors for conducting KM within numerous industries ranging from scientific to business, and for ranges of organization scales from small groups to large enterprises. However, engineering and technical teams operating within restricted environments are subject to unique barriers and KM challenges which cannot be directly treated using the approaches and tools prescribed for other industries. This research identifies barriers in conducting KM within Hardware Development Engineering (HDE) teams and statistically compares significance to barriers upholding the four KM pillars of organization, technology, leadership, and learning for HDE teams. HDE teams suffer from restrictions in knowledge sharing (KS) due to classification of information (national security risks), customer proprietary restrictions (non-disclosure agreement execution for designs), types of knowledge, complexity of knowledge to be shared, and knowledge seeker expertise. As KM evolved leveraging information technology (IT) and web-based tools and approaches from Web 1.0 to Enterprise 2.0, KM may also seek to leverage emergent tools and analytics including expert locators and hybrid recommender systems to enable KS across barriers of the technical teams. The research will test hypothesis statistically evaluating if KM barriers for HDE teams affect the general set of expected benefits of a KM System identified through previous research. If correlations may be identified, then generalizations of success factors and approaches may also be garnered for HDE teams. Expert elicitation will be conducted using a questionnaire hosted on the internet and delivered to a panel of experts including engineering managers, principal and lead engineers, senior systems engineers, and knowledge management experts. The feedback to the questionnaire will be processed using analysis of variance (ANOVA) to identify and rank statistically significant barriers of HDE teams within the four KM pillars. Subsequently, KM approaches will be recommended for upholding the KM pillars within restricted environments of HDE teams. <p class="card-text"><strong>Keywords:</strong> <a href="https://publications.waset.org/abstracts/search?q=engineering%20management" title="engineering management">engineering management</a>, <a href="https://publications.waset.org/abstracts/search?q=knowledge%20barriers" title=" knowledge barriers"> knowledge barriers</a>, <a href="https://publications.waset.org/abstracts/search?q=knowledge%20management" title=" knowledge management"> knowledge management</a>, <a href="https://publications.waset.org/abstracts/search?q=knowledge%20sharing" title=" knowledge sharing"> knowledge sharing</a> </p> <a href="https://publications.waset.org/abstracts/55802/knowledge-management-barriers-a-statistical-study-of-hardware-development-engineering-teams-within-restricted-environments" class="btn btn-primary btn-sm">Procedia</a> <a href="https://publications.waset.org/abstracts/55802.pdf" target="_blank" class="btn btn-primary btn-sm">PDF</a> <span class="bg-info text-light px-1 py-1 float-right rounded"> Downloads <span class="badge badge-light">279</span> </span> </div> </div> <div class="card paper-listing mb-3 mt-3"> <h5 class="card-header" style="font-size:.9rem"><span class="badge badge-info">1</span> Sensor and Sensor System Design, Selection and Data Fusion Using Non-Deterministic Multi-Attribute Tradespace Exploration</h5> <div class="card-body"> <p class="card-text"><strong>Authors:</strong> <a href="https://publications.waset.org/abstracts/search?q=Matthew%20Yeager">Matthew Yeager</a>, <a href="https://publications.waset.org/abstracts/search?q=Christopher%20Willy"> Christopher Willy</a>, <a href="https://publications.waset.org/abstracts/search?q=John%20Bischoff"> John Bischoff</a> </p> <p class="card-text"><strong>Abstract:</strong></p> The conceptualization and design phases of a system lifecycle consume a significant amount of the lifecycle budget in the form of direct tasking and capital, as well as the implicit costs associated with unforeseeable design errors that are only realized during downstream phases. Ad hoc or iterative approaches to generating system requirements oftentimes fail to consider the full array of feasible systems or product designs for a variety of reasons, including, but not limited to: initial conceptualization that oftentimes incorporates a priori or legacy features; the inability to capture, communicate and accommodate stakeholder preferences; inadequate technical designs and/or feasibility studies; and locally-, but not globally-, optimized subsystems and components. These design pitfalls can beget unanticipated developmental or system alterations with added costs, risks and support activities, heightening the risk for suboptimal system performance, premature obsolescence or forgone development. Supported by rapid advances in learning algorithms and hardware technology, sensors and sensor systems have become commonplace in both commercial and industrial products. The evolving array of hardware components (i.e. sensors, CPUs, modular / auxiliary access, etc…) as well as recognition, data fusion and communication protocols have all become increasingly complex and critical for design engineers during both concpetualization and implementation. This work seeks to develop and utilize a non-deterministic approach for sensor system design within the multi-attribute tradespace exploration (MATE) paradigm, a technique that incorporates decision theory into model-based techniques in order to explore complex design environments and discover better system designs. Developed to address the inherent design constraints in complex aerospace systems, MATE techniques enable project engineers to examine all viable system designs, assess attribute utility and system performance, and better align with stakeholder requirements. Whereas such previous work has been focused on aerospace systems and conducted in a deterministic fashion, this study addresses a wider array of system design elements by incorporating both traditional tradespace elements (e.g. hardware components) as well as popular multi-sensor data fusion models and techniques. Furthermore, statistical performance features to this model-based MATE approach will enable non-deterministic techniques for various commercial systems that range in application, complexity and system behavior, demonstrating a significant utility within the realm of formal systems decision-making. <p class="card-text"><strong>Keywords:</strong> <a href="https://publications.waset.org/abstracts/search?q=multi-attribute%20tradespace%20exploration" title="multi-attribute tradespace exploration">multi-attribute tradespace exploration</a>, <a href="https://publications.waset.org/abstracts/search?q=data%20fusion" title=" data fusion"> data fusion</a>, <a href="https://publications.waset.org/abstracts/search?q=sensors" title=" sensors"> sensors</a>, <a href="https://publications.waset.org/abstracts/search?q=systems%20engineering" title=" systems engineering"> systems engineering</a>, <a href="https://publications.waset.org/abstracts/search?q=system%20design" title=" system design"> system design</a> </p> <a href="https://publications.waset.org/abstracts/76761/sensor-and-sensor-system-design-selection-and-data-fusion-using-non-deterministic-multi-attribute-tradespace-exploration" class="btn btn-primary btn-sm">Procedia</a> <a href="https://publications.waset.org/abstracts/76761.pdf" target="_blank" class="btn btn-primary btn-sm">PDF</a> <span class="bg-info text-light px-1 py-1 float-right rounded"> Downloads <span class="badge badge-light">183</span> </span> </div> </div> </div> </main> <footer> <div id="infolinks" class="pt-3 pb-2"> <div class="container"> <div style="background-color:#f5f5f5;" class="p-3"> <div class="row"> <div class="col-md-2"> <ul class="list-unstyled"> About <li><a href="https://waset.org/page/support">About Us</a></li> <li><a href="https://waset.org/page/support#legal-information">Legal</a></li> <li><a target="_blank" rel="nofollow" href="https://publications.waset.org/static/files/WASET-16th-foundational-anniversary.pdf">WASET celebrates its 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