Search results for: Amadeo Arg眉elles

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Arg眉elles</title> <meta name="description" content="Search results for: Amadeo Arg眉elles"> <meta name="keywords" content="Amadeo Arg眉elles"> <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 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action="https://publications.waset.org/abstracts/search"> <div 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="Amadeo Arg眉elles"> <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> 5</div> </div> </div> </div> <h1 class="mt-3 mb-3 text-center" style="font-size:1.6rem;">Search results for: Amadeo Arg眉elles</h1> <div class="card paper-listing mb-3 mt-3"> <h5 class="card-header" style="font-size:.9rem"><span class="badge badge-info">5</span> Cognitive Footprints: Analytical and Predictive Paradigm for Digital Learning</h5> <div class="card-body"> <p class="card-text"><strong>Authors:</strong> <a href="https://publications.waset.org/abstracts/search?q=Marina%20Vicario">Marina Vicario</a>, <a href="https://publications.waset.org/abstracts/search?q=Amadeo%20Arg%C3%BCelles"> Amadeo Arg眉elles</a>, <a href="https://publications.waset.org/abstracts/search?q=Pilar%20G%C3%B3mez"> Pilar G贸mez</a>, <a href="https://publications.waset.org/abstracts/search?q=Carlos%20Hern%C3%A1ndez"> Carlos Hern谩ndez</a> </p> <p class="card-text"><strong>Abstract:</strong></p> In this paper, the Computer Research Network of the National Polytechnic Institute of Mexico proposes a paradigmatic model for the inference of cognitive patterns in digital learning systems. This model leads to metadata architecture useful for analysis and prediction in online learning systems; especially on MOOc's architectures. The model is in the design phase and expects to be tested through an institutional of courses project which is going to develop for the MOOc. <p class="card-text"><strong>Keywords:</strong> <a href="https://publications.waset.org/abstracts/search?q=cognitive%20footprints" title="cognitive footprints">cognitive footprints</a>, <a href="https://publications.waset.org/abstracts/search?q=learning%20analytics" title=" learning analytics"> learning analytics</a>, <a href="https://publications.waset.org/abstracts/search?q=predictive%20learning" title=" predictive learning"> predictive learning</a>, <a href="https://publications.waset.org/abstracts/search?q=digital%20learning" title=" digital learning"> digital learning</a>, <a href="https://publications.waset.org/abstracts/search?q=educational%20computing" title=" educational computing"> educational computing</a>, <a href="https://publications.waset.org/abstracts/search?q=educational%20informatics" title=" educational informatics"> educational informatics</a> </p> <a href="https://publications.waset.org/abstracts/29913/cognitive-footprints-analytical-and-predictive-paradigm-for-digital-learning" class="btn btn-primary btn-sm">Procedia</a> <a href="https://publications.waset.org/abstracts/29913.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">477</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> A Virtual Set-Up to Evaluate Augmented Reality Effect on Simulated Driving</h5> <div class="card-body"> <p class="card-text"><strong>Authors:</strong> <a href="https://publications.waset.org/abstracts/search?q=Alicia%20Yanadira%20Nava%20Fuentes">Alicia Yanadira Nava Fuentes</a>, <a href="https://publications.waset.org/abstracts/search?q=Ilse%20Cervantes%20Camacho"> Ilse Cervantes Camacho</a>, <a href="https://publications.waset.org/abstracts/search?q=Amadeo%20Jos%C3%A9%20Arg%C3%BCelles%20Cruz"> Amadeo Jos茅 Arg眉elles Cruz</a>, <a href="https://publications.waset.org/abstracts/search?q=Ana%20Mar%C3%ADa%20Balboa%20Verduzco"> Ana Mar铆a Balboa Verduzco</a> </p> <p class="card-text"><strong>Abstract:</strong></p> Augmented reality promises being present in future driving, with its immersive technology let to show directions and maps to identify important places indicating with graphic elements when the car driver requires the information. On the other side, driving is considered a multitasking activity and, for some people, a complex activity where different situations commonly occur that require the immediate attention of the car driver to make decisions that contribute to avoid accidents; therefore, the main aim of the project is the instrumentation of a platform with biometric sensors that allows evaluating the performance in driving vehicles with the influence of augmented reality devices to detect the level of attention in drivers, since it is important to know the effect that it produces. In this study, the physiological sensors EPOC X (EEG), ECG06 PRO and EMG Myoware are joined in the driving test platform with a Logitech G29 steering wheel and the simulation software City Car Driving in which the level of traffic can be controlled, as well as the number of pedestrians that exist within the simulation obtaining a driver interaction in real mode and through a MSP430 microcontroller achieves the acquisition of data for storage. The sensors bring a continuous analog signal in time that needs signal conditioning, at this point, a signal amplifier is incorporated due to the acquired signals having a sensitive range of 1.25 mm/mV, also filtering that consists in eliminating the frequency bands of the signal in order to be interpretative and without noise to convert it from an analog signal into a digital signal to analyze the physiological signals of the drivers, these values are stored in a database. Based on this compilation, we work on the extraction of signal features and implement K-NN (k-nearest neighbor) classification methods and decision trees (unsupervised learning) that enable the study of data for the identification of patterns and determine by classification methods different effects of augmented reality on drivers. The expected results of this project include are a test platform instrumented with biometric sensors for data acquisition during driving and a database with the required variables to determine the effect caused by augmented reality on people in simulated driving. <p class="card-text"><strong>Keywords:</strong> <a href="https://publications.waset.org/abstracts/search?q=augmented%20reality" title="augmented reality">augmented reality</a>, <a href="https://publications.waset.org/abstracts/search?q=driving" title=" driving"> driving</a>, <a href="https://publications.waset.org/abstracts/search?q=physiological%20signals" title=" physiological signals"> physiological signals</a>, <a href="https://publications.waset.org/abstracts/search?q=test%20platform" title=" test platform"> test platform</a> </p> <a href="https://publications.waset.org/abstracts/145037/a-virtual-set-up-to-evaluate-augmented-reality-effect-on-simulated-driving" class="btn btn-primary btn-sm">Procedia</a> <a href="https://publications.waset.org/abstracts/145037.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">141</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> A New Categorization of Image Quality Metrics Based on a Model of Human Quality Perception</h5> <div class="card-body"> <p class="card-text"><strong>Authors:</strong> <a href="https://publications.waset.org/abstracts/search?q=Maria%20Grazia%20Albanesi">Maria Grazia Albanesi</a>, <a href="https://publications.waset.org/abstracts/search?q=Riccardo%20Amadeo"> Riccardo Amadeo</a> </p> <p class="card-text"><strong>Abstract:</strong></p> This study presents a new model of the human image quality assessment process: the aim is to highlight the foundations of the image quality metrics proposed in literature, by identifying the cognitive/physiological or mathematical principles of their development and the relation with the actual human quality assessment process. The model allows to create a novel categorization of objective and subjective image quality metrics. Our work includes an overview of the most used or effective objective metrics in literature, and, for each of them, we underline its main characteristics, with reference to the rationale of the proposed model and categorization. From the results of this operation, we underline a problem that affects all the presented metrics: the fact that many aspects of human biases are not taken in account at all. We then propose a possible methodology to address this issue. <p class="card-text"><strong>Keywords:</strong> <a href="https://publications.waset.org/abstracts/search?q=eye-tracking" title="eye-tracking">eye-tracking</a>, <a href="https://publications.waset.org/abstracts/search?q=image%20quality%20assessment%20metric" title=" image quality assessment metric"> image quality assessment metric</a>, <a href="https://publications.waset.org/abstracts/search?q=MOS" title=" MOS"> MOS</a>, <a href="https://publications.waset.org/abstracts/search?q=quality%20of%20user%20experience" title=" quality of user experience"> quality of user experience</a>, <a href="https://publications.waset.org/abstracts/search?q=visual%20perception" title=" visual perception"> visual perception</a> </p> <a href="https://publications.waset.org/abstracts/8906/a-new-categorization-of-image-quality-metrics-based-on-a-model-of-human-quality-perception" class="btn btn-primary btn-sm">Procedia</a> <a href="https://publications.waset.org/abstracts/8906.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">411</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> Make Up Flash: Web Application for the Improvement of Physical Appearance in Images Based on Recognition Methods</h5> <div class="card-body"> <p class="card-text"><strong>Authors:</strong> <a href="https://publications.waset.org/abstracts/search?q=Stefania%20Arguelles%20Reyes">Stefania Arguelles Reyes</a>, <a href="https://publications.waset.org/abstracts/search?q=Octavio%20Jos%C3%A9%20Salcedo%20Parra"> Octavio Jos茅 Salcedo Parra</a>, <a href="https://publications.waset.org/abstracts/search?q=Alberto%20Acosta%20L%C3%B3pez"> Alberto Acosta L贸pez</a> </p> <p class="card-text"><strong>Abstract:</strong></p> This paper presents a web application for the improvement of images through recognition. The web application is based on the analysis of picture-based recognition methods that allow an improvement on the physical appearance of people posting in social networks. The basis relies on the study of tools that can correct or improve some features of the face, with the help of a wide collection of user images taken as reference to build a facial profile. Automatic facial profiling can be achieved with a deeper study of the Object Detection Library. It was possible to improve the initial images with the help of MATLAB and its filtering functions. The user can have a direct interaction with the program and manually adjust his preferences. <p class="card-text"><strong>Keywords:</strong> <a href="https://publications.waset.org/abstracts/search?q=Matlab" title="Matlab">Matlab</a>, <a href="https://publications.waset.org/abstracts/search?q=make%20up" title=" make up"> make up</a>, <a href="https://publications.waset.org/abstracts/search?q=recognition%20methods" title=" recognition methods"> recognition methods</a>, <a href="https://publications.waset.org/abstracts/search?q=web%20application" title=" web application"> web application</a> </p> <a href="https://publications.waset.org/abstracts/108091/make-up-flash-web-application-for-the-improvement-of-physical-appearance-in-images-based-on-recognition-methods" class="btn btn-primary btn-sm">Procedia</a> <a href="https://publications.waset.org/abstracts/108091.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">144</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> Remote Radiation Mapping Based on UAV Formation</h5> <div class="card-body"> <p class="card-text"><strong>Authors:</strong> <a href="https://publications.waset.org/abstracts/search?q=Martin%20Arguelles%20Perez">Martin Arguelles Perez</a>, <a href="https://publications.waset.org/abstracts/search?q=Woosoon%20Yim"> Woosoon Yim</a>, <a href="https://publications.waset.org/abstracts/search?q=Alexander%20Barzilov"> Alexander Barzilov</a> </p> <p class="card-text"><strong>Abstract:</strong></p> High-fidelity radiation monitoring is an essential component in the enhancement of the situational awareness capabilities of the Department of Energy鈥檚 Office of Environmental Management (DOE-EM) personnel. In this paper, multiple units of unmanned aerial vehicles (UAVs) each equipped with a cadmium zinc telluride (CZT) gamma-ray sensor are used for radiation source localization, which can provide vital real-time data for the EM tasks. To achieve this goal, a fully autonomous system of multicopter-based UAV swarm in 3D tetrahedron formation is used for surveying the area of interest and performing radiation source localization. The CZT sensor used in this study is suitable for small-size multicopter UAVs due to its small size and ease of interfacing with the UAV鈥檚 onboard electronics for high-resolution gamma spectroscopy enabling the characterization of radiation hazards. The multicopter platform with a fully autonomous flight feature is suitable for low-altitude applications such as radiation contamination sites. The conventional approach uses a single UAV mapping in a predefined waypoint path to predict the relative location and strength of the source, which can be time-consuming for radiation localization tasks. The proposed UAV swarm-based approach can significantly improve its ability to search for and track radiation sources. In this paper, two approaches are developed using (a) 2D planar circular (3 UAVs) and (b) 3D tetrahedron formation (4 UAVs). In both approaches, accurate estimation of the gradient vector is crucial for heading angle calculation. Each UAV carries the CZT sensor; the real-time radiation data are used for the calculation of a bulk heading vector for the swarm to achieve a UAV swarm鈥檚 source-seeking behavior. Also, a spinning formation is studied for both cases to improve gradient estimation near a radiation source. In the 3D tetrahedron formation, a UAV located closest to the source is designated as a lead unit to maintain the tetrahedron formation in space. Such a formation demonstrated a collective and coordinated movement for estimating a gradient vector for the radiation source and determining an optimal heading direction of the swarm. The proposed radiation localization technique is studied by computer simulation and validated experimentally in the indoor flight testbed using gamma sources. The technology presented in this paper provides the capability to readily add/replace radiation sensors to the UAV platforms in the field conditions enabling extensive condition measurement and greatly improving situational awareness and event management. Furthermore, the proposed radiation localization approach allows long-term measurements to be efficiently performed at wide areas of interest to prevent disasters and reduce dose risks to people and infrastructure. <p class="card-text"><strong>Keywords:</strong> <a href="https://publications.waset.org/abstracts/search?q=radiation" title="radiation">radiation</a>, <a href="https://publications.waset.org/abstracts/search?q=unmanned%20aerial%20system%28UAV%29" title=" unmanned aerial system(UAV)"> unmanned aerial system(UAV)</a>, <a href="https://publications.waset.org/abstracts/search?q=source%20localization" title=" source localization"> source localization</a>, <a href="https://publications.waset.org/abstracts/search?q=UAV%20swarm" title=" UAV swarm"> UAV swarm</a>, <a href="https://publications.waset.org/abstracts/search?q=tetrahedron%20formation" title=" tetrahedron formation"> tetrahedron formation</a> </p> <a href="https://publications.waset.org/abstracts/176233/remote-radiation-mapping-based-on-uav-formation" class="btn btn-primary btn-sm">Procedia</a> <a href="https://publications.waset.org/abstracts/176233.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">99</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 16th foundational anniversary</a></li> </ul> </div> <div class="col-md-2"> <ul 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Search results for: Amadeo Arg眉elles