CINXE.COM

<!DOCTYPE html> <html lang="en" dir="ltr"> <head>  <script async src="https://www.googletagmanager.com/gtag/js?id=G-P63WKM1TM1"></script> <script> window.dataLayer = window.dataLayer || []; function gtag(){dataLayer.push(arguments);} gtag('js', new Date()); gtag('config', 'G-P63WKM1TM1'); </script>  <script type="text/javascript" > (function(m,e,t,r,i,k,a){m[i]=m[i]||function(){(m[i].a=m[i].a||[]).push(arguments)}; m[i].l=1*new Date(); for (var j = 0; j < document.scripts.length; j++) {if (document.scripts[j].src === r) { return; }} k=e.createElement(t),a=e.getElementsByTagName(t)[0],k.async=1,k.src=r,a.parentNode.insertBefore(k,a)}) (window, document, "script", "https://mc.yandex.ru/metrika/tag.js", "ym"); ym(55165297, "init", { clickmap:false, trackLinks:true, accurateTrackBounce:true, webvisor:false }); </script> <noscript><div><img src="https://mc.yandex.ru/watch/55165297" style="position:absolute; left:-9999px;" alt="" /></div></noscript>    <title>Search results for: Google’s MediaPipe</title> <meta name="description" content="Search results for: Google’s MediaPipe"> <meta name="keywords" content="Google’s MediaPipe"> <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 ml-auto" type="button" data-toggle="collapse" data-target="#navbarMenu" aria-controls="navbarMenu" aria-expanded="false" aria-label="Toggle navigation"> <span class="navbar-toggler-icon"></span> </button> <div class="w-100"> <div class="d-none d-lg-flex flex-row-reverse"> <form method="get" action="https://waset.org/search" class="form-inline my-2 my-lg-0"> <input class="form-control mr-sm-2" type="search" placeholder="Search Conferences" value="Google’s MediaPipe" name="q" aria-label="Search"> <button class="btn btn-light my-2 my-sm-0" type="submit"><i class="fas fa-search"></i></button> </form> </div> <div class="collapse navbar-collapse mt-1" id="navbarMenu"> <ul class="navbar-nav ml-auto align-items-center" id="mainNavMenu"> <li class="nav-item"> <a class="nav-link" href="https://waset.org/conferences" title="Conferences in 2024/2025/2026">Conferences</a> </li> <li class="nav-item"> <a class="nav-link" href="https://waset.org/disciplines" title="Disciplines">Disciplines</a> </li> <li class="nav-item"> <a class="nav-link" href="https://waset.org/committees" rel="nofollow">Committees</a> </li> <li class="nav-item dropdown"> <a class="nav-link dropdown-toggle" href="#" id="navbarDropdownPublications" role="button" data-toggle="dropdown" aria-haspopup="true" aria-expanded="false"> Publications </a> <div class="dropdown-menu" aria-labelledby="navbarDropdownPublications"> <a class="dropdown-item" href="https://publications.waset.org/abstracts">Abstracts</a> <a class="dropdown-item" href="https://publications.waset.org">Periodicals</a> <a class="dropdown-item" href="https://publications.waset.org/archive">Archive</a> </div> </li> <li class="nav-item"> <a class="nav-link" href="https://waset.org/page/support" title="Support">Support</a> </li> </ul> </div> </div> </nav> </div> </header> <main> <div class="container mt-4"> <div class="row"> <div class="col-md-9 mx-auto"> <form method="get" 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="Google’s MediaPipe"> <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> 528</div> </div> </div> </div> <h1 class="mt-3 mb-3 text-center" style="font-size:1.6rem;">Search results for: Google’s MediaPipe</h1> <div class="card paper-listing mb-3 mt-3"> <h5 class="card-header" style="font-size:.9rem"><span class="badge badge-info">528</span> Real-Time Fitness Monitoring with MediaPipe</h5> <div class="card-body"> <p class="card-text"><strong>Authors:</strong> <a href="https://publications.waset.org/abstracts/search?q=Chandra%20Prayaga">Chandra Prayaga</a>, <a href="https://publications.waset.org/abstracts/search?q=Lakshmi%20Prayaga"> Lakshmi Prayaga</a>, <a href="https://publications.waset.org/abstracts/search?q=Aaron%20Wade"> Aaron Wade</a>, <a href="https://publications.waset.org/abstracts/search?q=Kyle%20Rank"> Kyle Rank</a>, <a href="https://publications.waset.org/abstracts/search?q=Gopi%20Shankar%20Mallu"> Gopi Shankar Mallu</a>, <a href="https://publications.waset.org/abstracts/search?q=Sri%20Satya"> Sri Satya</a>, <a href="https://publications.waset.org/abstracts/search?q=Harsha%20Pola"> Harsha Pola</a> </p> <p class="card-text"><strong>Abstract:</strong></p> In today's tech-driven world, where connectivity shapes our daily lives, maintaining physical and emotional health is crucial. Athletic trainers play a vital role in optimizing athletes' performance and preventing injuries. However, a shortage of trainers impacts the quality of care. This study introduces a vision-based exercise monitoring system leveraging Google's MediaPipe library for precise tracking of bicep curl exercises and simultaneous posture monitoring. We propose a three-stage methodology: landmark detection, side detection, and angle computation. Our system calculates angles at the elbow, wrist, neck, and torso to assess exercise form. Experimental results demonstrate the system's effectiveness in distinguishing between good and partial repetitions and evaluating body posture during exercises, providing real-time feedback for precise fitness monitoring. <p class="card-text"><strong>Keywords:</strong> <a href="https://publications.waset.org/abstracts/search?q=physical%20health" title="physical health">physical health</a>, <a href="https://publications.waset.org/abstracts/search?q=athletic%20trainers" title=" athletic trainers"> athletic trainers</a>, <a href="https://publications.waset.org/abstracts/search?q=fitness%20monitoring" title=" fitness monitoring"> fitness monitoring</a>, <a href="https://publications.waset.org/abstracts/search?q=technology%20driven%20solutions" title=" technology driven solutions"> technology driven solutions</a>, <a href="https://publications.waset.org/abstracts/search?q=Google%E2%80%99s%20MediaPipe" title=" Google’s MediaPipe"> Google’s MediaPipe</a>, <a href="https://publications.waset.org/abstracts/search?q=landmark%20detection" title=" landmark detection"> landmark detection</a>, <a href="https://publications.waset.org/abstracts/search?q=angle%20computation" title=" angle computation"> angle computation</a>, <a href="https://publications.waset.org/abstracts/search?q=real-time%20feedback" title=" real-time feedback"> real-time feedback</a> </p> <a href="https://publications.waset.org/abstracts/183020/real-time-fitness-monitoring-with-mediapipe" class="btn btn-primary btn-sm">Procedia</a> <a href="https://publications.waset.org/abstracts/183020.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">66</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">527</span> Fitness Action Recognition Based on MediaPipe</h5> <div class="card-body"> <p class="card-text"><strong>Authors:</strong> <a href="https://publications.waset.org/abstracts/search?q=Zixuan%20Xu">Zixuan Xu</a>, <a href="https://publications.waset.org/abstracts/search?q=Yichun%20Lou"> Yichun Lou</a>, <a href="https://publications.waset.org/abstracts/search?q=Yang%20Song"> Yang Song</a>, <a href="https://publications.waset.org/abstracts/search?q=Zihuai%20Lin"> Zihuai Lin</a> </p> <p class="card-text"><strong>Abstract:</strong></p> MediaPipe is an open-source machine learning computer vision framework that can be ported into a multi-platform environment, which makes it easier to use it to recognize the human activity. Based on this framework, many human recognition systems have been created, but the fundamental issue is the recognition of human behavior and posture. In this paper, two methods are proposed to recognize human gestures based on MediaPipe, the first one uses the Adaptive Boosting algorithm to recognize a series of fitness gestures, and the second one uses the Fast Dynamic Time Warping algorithm to recognize 413 continuous fitness actions. These two methods are also applicable to any human posture movement recognition. <p class="card-text"><strong>Keywords:</strong> <a href="https://publications.waset.org/abstracts/search?q=computer%20vision" title="computer vision">computer vision</a>, <a href="https://publications.waset.org/abstracts/search?q=MediaPipe" title=" MediaPipe"> MediaPipe</a>, <a href="https://publications.waset.org/abstracts/search?q=adaptive%20boosting" title=" adaptive boosting"> adaptive boosting</a>, <a href="https://publications.waset.org/abstracts/search?q=fast%20dynamic%20time%20warping" title=" fast dynamic time warping"> fast dynamic time warping</a> </p> <a href="https://publications.waset.org/abstracts/160758/fitness-action-recognition-based-on-mediapipe" class="btn btn-primary btn-sm">Procedia</a> <a href="https://publications.waset.org/abstracts/160758.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">118</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">526</span> Real-Time Finger Tracking: Evaluating YOLOv8 and MediaPipe for Enhanced HCI</h5> <div class="card-body"> <p class="card-text"><strong>Authors:</strong> <a href="https://publications.waset.org/abstracts/search?q=Zahra%20Alipour">Zahra Alipour</a>, <a href="https://publications.waset.org/abstracts/search?q=Amirreza%20Moheb%20Afzali"> Amirreza Moheb Afzali</a> </p> <p class="card-text"><strong>Abstract:</strong></p> In the field of human-computer interaction (HCI), hand gestures play a crucial role in facilitating communication by expressing emotions and intentions. The precise tracking of the index finger and the estimation of joint positions are essential for developing effective gesture recognition systems. However, various challenges, such as anatomical variations, occlusions, and environmental influences, hinder optimal functionality. This study investigates the performance of the YOLOv8m model for hand detection using the EgoHands dataset, which comprises diverse hand gesture images captured in various environments. Over three training processes, the model demonstrated significant improvements in precision (from 88.8% to 96.1%) and recall (from 83.5% to 93.5%), achieving a mean average precision (mAP) of 97.3% at an IoU threshold of 0.7. We also compared YOLOv8m with MediaPipe and an integrated YOLOv8 + MediaPipe approach. The combined method outperformed the individual models, achieving an accuracy of 99% and a recall of 99%. These findings underscore the benefits of model integration in enhancing gesture recognition accuracy and localization for real-time applications. The results suggest promising avenues for future research in HCI, particularly in augmented reality and assistive technologies, where improved gesture recognition can significantly enhance user experience. <p class="card-text"><strong>Keywords:</strong> <a href="https://publications.waset.org/abstracts/search?q=YOLOv8" title="YOLOv8">YOLOv8</a>, <a href="https://publications.waset.org/abstracts/search?q=mediapipe" title=" mediapipe"> mediapipe</a>, <a href="https://publications.waset.org/abstracts/search?q=finger%20tracking" title=" finger tracking"> finger tracking</a>, <a href="https://publications.waset.org/abstracts/search?q=joint%20estimation" title=" joint estimation"> joint estimation</a>, <a href="https://publications.waset.org/abstracts/search?q=human-computer%20interaction%20%28HCI%29" title=" human-computer interaction (HCI)"> human-computer interaction (HCI)</a> </p> <a href="https://publications.waset.org/abstracts/194650/real-time-finger-tracking-evaluating-yolov8-and-mediapipe-for-enhanced-hci" class="btn btn-primary btn-sm">Procedia</a> <a href="https://publications.waset.org/abstracts/194650.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">5</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">525</span> Hands-off Parking: Deep Learning Gesture-based System for Individuals with Mobility Needs</h5> <div class="card-body"> <p class="card-text"><strong>Authors:</strong> <a href="https://publications.waset.org/abstracts/search?q=Javier%20Romera">Javier Romera</a>, <a href="https://publications.waset.org/abstracts/search?q=Alberto%20Justo"> Alberto Justo</a>, <a href="https://publications.waset.org/abstracts/search?q=Ignacio%20Fidalgo"> Ignacio Fidalgo</a>, <a href="https://publications.waset.org/abstracts/search?q=Joshue%20Perez"> Joshue Perez</a>, <a href="https://publications.waset.org/abstracts/search?q=Javier%20Araluce"> Javier Araluce</a> </p> <p class="card-text"><strong>Abstract:</strong></p> Nowadays, individuals with mobility needs face a significant challenge when docking vehicles. In many cases, after parking, they encounter insufficient space to exit, leading to two undesired outcomes: either avoiding parking in that spot or settling for improperly placed vehicles. To address this issue, the following paper presents a parking control system employing gestural teleoperation. The system comprises three main phases: capturing body markers, interpreting gestures, and transmitting orders to the vehicle. The initial phase is centered around the MediaPipe framework, a versatile tool optimized for real-time gesture recognition. MediaPipe excels at detecting and tracing body markers, with a special emphasis on hand gestures. Hands detection is done by generating 21 reference points for each hand. Subsequently, after data capture, the project employs the MultiPerceptron Layer (MPL) for indepth gesture classification. This tandem of MediaPipe's extraction prowess and MPL's analytical capability ensures that human gestures are translated into actionable commands with high precision. Furthermore, the system has been trained and validated within a built-in dataset. To prove the domain adaptation, a framework based on the Robot Operating System (ROS), as a communication backbone, alongside CARLA Simulator, is used. Following successful simulations, the system is transitioned to a real-world platform, marking a significant milestone in the project. This real vehicle implementation verifies the practicality and efficiency of the system beyond theoretical constructs. <p class="card-text"><strong>Keywords:</strong> <a href="https://publications.waset.org/abstracts/search?q=gesture%20detection" title="gesture detection">gesture detection</a>, <a href="https://publications.waset.org/abstracts/search?q=mediapipe" title=" mediapipe"> mediapipe</a>, <a href="https://publications.waset.org/abstracts/search?q=multiperceptron%20layer" title=" multiperceptron layer"> multiperceptron layer</a>, <a href="https://publications.waset.org/abstracts/search?q=robot%20operating%20system" title=" robot operating system"> robot operating system</a> </p> <a href="https://publications.waset.org/abstracts/174862/hands-off-parking-deep-learning-gesture-based-system-for-individuals-with-mobility-needs" class="btn btn-primary btn-sm">Procedia</a> <a href="https://publications.waset.org/abstracts/174862.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">100</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">524</span> Blended Learning through Google Classroom</h5> <div class="card-body"> <p class="card-text"><strong>Authors:</strong> <a href="https://publications.waset.org/abstracts/search?q=Lee%20Bih%20Ni">Lee Bih Ni</a> </p> <p class="card-text"><strong>Abstract:</strong></p> This paper discusses that good learning involves all academic groups in the school. Blended learning is learning outside the classroom. Google Classroom is a free service learning app for schools, non-profit organizations and anyone with a personal Google account. Facilities accessed through computers and mobile phones are very useful for school teachers and students. Blended learning classrooms using both traditional and technology-based methods for teaching have become the norm for many educators. Using Google Classroom gives students access to online learning. Even if the teacher is not in the classroom, the teacher can provide learning. This is the supervision of the form of the teacher when the student is outside the school. <p class="card-text"><strong>Keywords:</strong> <a href="https://publications.waset.org/abstracts/search?q=blended%20learning" title="blended learning">blended learning</a>, <a href="https://publications.waset.org/abstracts/search?q=learning%20app" title=" learning app"> learning app</a>, <a href="https://publications.waset.org/abstracts/search?q=google%20classroom" title=" google classroom"> google classroom</a>, <a href="https://publications.waset.org/abstracts/search?q=schools" title=" schools"> schools</a> </p> <a href="https://publications.waset.org/abstracts/108493/blended-learning-through-google-classroom" class="btn btn-primary btn-sm">Procedia</a> <a href="https://publications.waset.org/abstracts/108493.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">146</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">523</span> Comparison of the H-Index of Researchers of Google Scholar and Scopus</h5> <div class="card-body"> <p class="card-text"><strong>Authors:</strong> <a href="https://publications.waset.org/abstracts/search?q=Adian%20Fatchur%20Rochim">Adian Fatchur Rochim</a>, <a href="https://publications.waset.org/abstracts/search?q=Abdul%20Muis"> Abdul Muis</a>, <a href="https://publications.waset.org/abstracts/search?q=Riri%20Fitri%20Sari"> Riri Fitri Sari</a> </p> <p class="card-text"><strong>Abstract:</strong></p> H-index has been widely used as a performance indicator of researchers around the world especially in Indonesia. The Government uses Scopus and Google scholar as indexing references in providing recognition and appreciation. However, those two indexing services yield to different H-index values. For that purpose, this paper evaluates the difference of the H-index from those services. Researchers indexed by Webometrics, are used as reference’s data in this paper. Currently, Webometrics only uses H-index from Google Scholar. This paper observed and compared corresponding researchers’ data from Scopus to get their H-index score. Subsequently, some researchers with huge differences in score are observed in more detail on their paper’s publisher. This paper shows that the H-index of researchers in Google Scholar is approximately 2.45 times of their Scopus H-Index. Most difference exists due to the existence of uncertified publishers, which is considered in Google Scholar but not in Scopus. <p class="card-text"><strong>Keywords:</strong> <a href="https://publications.waset.org/abstracts/search?q=Google%20Scholar" title="Google Scholar">Google Scholar</a>, <a href="https://publications.waset.org/abstracts/search?q=H-index" title=" H-index"> H-index</a>, <a href="https://publications.waset.org/abstracts/search?q=Scopus" title=" Scopus"> Scopus</a>, <a href="https://publications.waset.org/abstracts/search?q=performance%20indicator" title=" performance indicator"> performance indicator</a> </p> <a href="https://publications.waset.org/abstracts/75572/comparison-of-the-h-index-of-researchers-of-google-scholar-and-scopus" class="btn btn-primary btn-sm">Procedia</a> <a href="https://publications.waset.org/abstracts/75572.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">275</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">522</span> Utilizing Google Earth for Internet GIS</h5> <div class="card-body"> <p class="card-text"><strong>Authors:</strong> <a href="https://publications.waset.org/abstracts/search?q=Alireza%20Derambakhsh">Alireza Derambakhsh</a> </p> <p class="card-text"><strong>Abstract:</strong></p> The objective of this examination is to explore the capability of utilizing Google Earth for Internet GIS applications. The study particularly analyzes the utilization of vector and characteristic information and the capability of showing and preparing this information in new ways utilizing the Google Earth stage. It has progressively been perceived that future improvements in GIS will fixate on Internet GIS, and in three noteworthy territories: GIS information access, spatial data scattering and GIS displaying/preparing. Google Earth is one of the group of geobrowsers that offer a free and simple to utilize administration that empower information with a spatial part to be overlain on top of a 3-D model of the Earth. This examination makes a methodological structure to accomplish its objective that comprises of three noteworthy parts: A database level, an application level and a customer level. As verification of idea a web model has been produced, which incorporates a differing scope of datasets and lets clients direst inquiries and make perceptions of this custom information. The outcomes uncovered that both vector and property information can be successfully spoken to and imagined utilizing Google Earth. In addition, the usefulness to question custom information and envision results has been added to the Google Earth stage. <p class="card-text"><strong>Keywords:</strong> <a href="https://publications.waset.org/abstracts/search?q=Google%20earth" title="Google earth">Google earth</a>, <a href="https://publications.waset.org/abstracts/search?q=internet%20GIS" title=" internet GIS"> internet GIS</a>, <a href="https://publications.waset.org/abstracts/search?q=vector" title=" vector"> vector</a>, <a href="https://publications.waset.org/abstracts/search?q=characteristic%20information" title=" characteristic information"> characteristic information</a> </p> <a href="https://publications.waset.org/abstracts/33274/utilizing-google-earth-for-internet-gis" class="btn btn-primary btn-sm">Procedia</a> <a href="https://publications.waset.org/abstracts/33274.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">308</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">521</span> The Pedagogical Functions of Arts and Cultural-Heritage Education with ICTs in Museums – A Case Study of FINNA and Google Art </h5> <div class="card-body"> <p class="card-text"><strong>Authors:</strong> <a href="https://publications.waset.org/abstracts/search?q=Pei%20Zhao">Pei Zhao</a>, <a href="https://publications.waset.org/abstracts/search?q=Sara%20Sintonen"> Sara Sintonen</a>, <a href="https://publications.waset.org/abstracts/search?q=Heikki%20Kyn%C3%A4slahti"> Heikki Kynäslahti</a> </p> <p class="card-text"><strong>Abstract:</strong></p> Digital museums and arts galleries have become popular in museum education and management. Museum and arts galleries website is one of the most effective and efficient ways. Google, a corporation specializing in Internet-related services and projects, not only puts high-resolution arts images online, but also uses augmented-reality in digital art gallery. The Google Art Project, Google’s production, provides users a platform in appreciating and learning arts. After Google Art Project, more and more countries released their own museum and arts gallery websites, like British Paining in BBC, and FINNA in Finland. Pedagogical function in these websites is one of the most important functions. In this paper, we use Google Art Project and FINNA as the case studies to investigate what kinds of pedagogical functions exist in these websites. Finally, this paper will give the recommendation to digital museums and websites development, especially the pedagogical functions development, in the future. <p class="card-text"><strong>Keywords:</strong> <a href="https://publications.waset.org/abstracts/search?q=arts%20education" title="arts education">arts education</a>, <a href="https://publications.waset.org/abstracts/search?q=cultural-heritage%20education" title=" cultural-heritage education"> cultural-heritage education</a>, <a href="https://publications.waset.org/abstracts/search?q=education%20with%20ICTs" title=" education with ICTs"> education with ICTs</a>, <a href="https://publications.waset.org/abstracts/search?q=pedagogical%20functions" title=" pedagogical functions"> pedagogical functions</a> </p> <a href="https://publications.waset.org/abstracts/24955/the-pedagogical-functions-of-arts-and-cultural-heritage-education-with-icts-in-museums-a-case-study-of-finna-and-google-art" class="btn btn-primary btn-sm">Procedia</a> <a href="https://publications.waset.org/abstracts/24955.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">548</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">520</span> Estimating Current Suicide Rates Using Google Trends</h5> <div class="card-body"> <p class="card-text"><strong>Authors:</strong> <a href="https://publications.waset.org/abstracts/search?q=Ladislav%20Kristoufek">Ladislav Kristoufek</a>, <a href="https://publications.waset.org/abstracts/search?q=Helen%20Susannah%20Moat"> Helen Susannah Moat</a>, <a href="https://publications.waset.org/abstracts/search?q=Tobias%20Preis"> Tobias Preis</a> </p> <p class="card-text"><strong>Abstract:</strong></p> Data on the number of people who have committed suicide tends to be reported with a substantial time lag of around two years. We examine whether online activity measured by Google searches can help us improve estimates of the number of suicide occurrences in England before official figures are released. Specifically, we analyse how data on the number of Google searches for the terms “depression” and “suicide” relate to the number of suicides between 2004 and 2013. We find that estimates drawing on Google data are significantly better than estimates using previous suicide data alone. We show that a greater number of searches for the term “depression” is related to fewer suicides, whereas a greater number of searches for the term “suicide” is related to more suicides. Data on suicide related search behaviour can be used to improve current estimates of the number of suicide occurrences. <p class="card-text"><strong>Keywords:</strong> <a href="https://publications.waset.org/abstracts/search?q=nowcasting" title="nowcasting">nowcasting</a>, <a href="https://publications.waset.org/abstracts/search?q=search%20data" title=" search data"> search data</a>, <a href="https://publications.waset.org/abstracts/search?q=Google%20Trends" title=" Google Trends"> Google Trends</a>, <a href="https://publications.waset.org/abstracts/search?q=official%20statistics" title=" official statistics"> official statistics</a> </p> <a href="https://publications.waset.org/abstracts/59622/estimating-current-suicide-rates-using-google-trends" class="btn btn-primary btn-sm">Procedia</a> <a href="https://publications.waset.org/abstracts/59622.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">357</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">519</span> Mountain Photo Sphere: An Android Application of Mountain Hiking Street View</h5> <div class="card-body"> <p class="card-text"><strong>Authors:</strong> <a href="https://publications.waset.org/abstracts/search?q=Yanto%20Budisusanto">Yanto Budisusanto</a>, <a href="https://publications.waset.org/abstracts/search?q=Aulia%20Rachmawati"> Aulia Rachmawati</a> </p> <p class="card-text"><strong>Abstract:</strong></p> Land navigation technology that is being developed is Google Street View to provide 360° street views, enabling the user to know the road conditions physically with the photo display. For climbers, especially beginners, detail information of climbing terrain is needed so climbers can prepare supplies and strategies before climbing. Therefore, we built a mountaineer guide application named Mountain Photo Sphere. This application displays a 360̊ panoramic view of mountain hiking trail and important points along the hiking path and its surrounding conditions. By combining panoramic photos 360̊ and tracking paths from coordinate data, a virtual tour will be formed. It is built using Java language and Android Studio. The hiking trail map composed by Google Maps API (Gaining access to google maps), Google GEO API (Gaining access to google maps), and OpenStreetMap API (Getting map files to be accessed offline on the Application). This application can be accessed offline so that climbers can use the application during climbing activities. <p class="card-text"><strong>Keywords:</strong> <a href="https://publications.waset.org/abstracts/search?q=google%20street%20view" title="google street view">google street view</a>, <a href="https://publications.waset.org/abstracts/search?q=panoramic%20photo%20360%C2%B0" title=" panoramic photo 360°"> panoramic photo 360°</a>, <a href="https://publications.waset.org/abstracts/search?q=mountain%20hiking" title=" mountain hiking"> mountain hiking</a>, <a href="https://publications.waset.org/abstracts/search?q=mountain%20photo%20sphere" title=" mountain photo sphere"> mountain photo sphere</a> </p> <a href="https://publications.waset.org/abstracts/105002/mountain-photo-sphere-an-android-application-of-mountain-hiking-street-view" class="btn btn-primary btn-sm">Procedia</a> <a href="https://publications.waset.org/abstracts/105002.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">166</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">518</span> A Unified Webcam Proctoring Solution on Edge</h5> <div class="card-body"> <p class="card-text"><strong>Authors:</strong> <a href="https://publications.waset.org/abstracts/search?q=Saw%20Thiha">Saw Thiha</a>, <a href="https://publications.waset.org/abstracts/search?q=Jay%20Rajasekera"> Jay Rajasekera</a> </p> <p class="card-text"><strong>Abstract:</strong></p> A boom in video conferencing generated millions of hours of video data daily to be analyzed. However, such enormous data pose certain scalability issues to be analyzed efficiently, let alone do it in real-time, as online conferences can involve hundreds of people and can last for hours. This paper proposes an efficient online proctoring solution that can analyze the online conferences real-time on edge devices such as Android, iOS, and desktops. Since the computation can be done upfront on the devices where online conferences take place, it can scale well without requiring intensive resources such as GPU servers and complex cloud infrastructure. According to the linear models, face orientation does indeed impact the perceived eye openness. Also, the proposed z score facial landmark standardization was proven to be functional in detecting face orientation and contributed to classifying eye blinks with single eyelid distance computation while achieving a better f1 score and accuracy than the Eye Aspect Ratio (EAR) threshold method. Last but not least, the authors implemented the solution natively in the MediaPipe framework and open-sourced it along with the reproducible experimental results on GitHub. The solution provides face orientation, eye blink, facial activity, and translation detections out of the box and is highly customizable and extensible. <p class="card-text"><strong>Keywords:</strong> <a href="https://publications.waset.org/abstracts/search?q=android" title="android">android</a>, <a href="https://publications.waset.org/abstracts/search?q=desktop" title=" desktop"> desktop</a>, <a href="https://publications.waset.org/abstracts/search?q=edge%20computing" title=" edge computing"> edge computing</a>, <a href="https://publications.waset.org/abstracts/search?q=blink" title=" blink"> blink</a>, <a href="https://publications.waset.org/abstracts/search?q=face%20orientation" title=" face orientation"> face orientation</a>, <a href="https://publications.waset.org/abstracts/search?q=facial%20activity%20and%20translation" title=" facial activity and translation"> facial activity and translation</a>, <a href="https://publications.waset.org/abstracts/search?q=MediaPipe" title=" MediaPipe"> MediaPipe</a>, <a href="https://publications.waset.org/abstracts/search?q=open%20source" title=" open source"> open source</a>, <a href="https://publications.waset.org/abstracts/search?q=real-time" title=" real-time"> real-time</a>, <a href="https://publications.waset.org/abstracts/search?q=video%20conference" title=" video conference"> video conference</a>, <a href="https://publications.waset.org/abstracts/search?q=web" title=" web"> web</a>, <a href="https://publications.waset.org/abstracts/search?q=iOS" title=" iOS"> iOS</a>, <a href="https://publications.waset.org/abstracts/search?q=Z%20score%20facial%20landmark%20standardization" title=" Z score facial landmark standardization"> Z score facial landmark standardization</a> </p> <a href="https://publications.waset.org/abstracts/155052/a-unified-webcam-proctoring-solution-on-edge" class="btn btn-primary btn-sm">Procedia</a> <a href="https://publications.waset.org/abstracts/155052.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">97</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">517</span> Google Translate: AI Application</h5> <div class="card-body"> <p class="card-text"><strong>Authors:</strong> <a href="https://publications.waset.org/abstracts/search?q=Shaima%20Almalhan">Shaima Almalhan</a>, <a href="https://publications.waset.org/abstracts/search?q=Lubna%20Shukri"> Lubna Shukri</a>, <a href="https://publications.waset.org/abstracts/search?q=Miriam%20Talal"> Miriam Talal</a>, <a href="https://publications.waset.org/abstracts/search?q=Safaa%20Teskieh"> Safaa Teskieh</a> </p> <p class="card-text"><strong>Abstract:</strong></p> Since artificial intelligence is a rapidly evolving topic that has had a significant impact on technical growth and innovation, this paper examines people's awareness, use, and engagement with the Google Translate application. To see how familiar aware users are with the app and its features, quantitative and qualitative research was conducted. The findings revealed that consumers have a high level of confidence in the application and how far people they benefit from this sort of innovation and how convenient it makes communication. <p class="card-text"><strong>Keywords:</strong> <a href="https://publications.waset.org/abstracts/search?q=artificial%20intelligence" title="artificial intelligence">artificial intelligence</a>, <a href="https://publications.waset.org/abstracts/search?q=google%20translate" title=" google translate"> google translate</a>, <a href="https://publications.waset.org/abstracts/search?q=speech%20recognition" title=" speech recognition"> speech recognition</a>, <a href="https://publications.waset.org/abstracts/search?q=language%20translation" title=" language translation"> language translation</a>, <a href="https://publications.waset.org/abstracts/search?q=camera%20%20translation" title=" camera translation"> camera translation</a>, <a href="https://publications.waset.org/abstracts/search?q=speech%20to%20text" title=" speech to text"> speech to text</a>, <a href="https://publications.waset.org/abstracts/search?q=text%20to%20speech" title=" text to speech"> text to speech</a> </p> <a href="https://publications.waset.org/abstracts/145090/google-translate-ai-application" class="btn btn-primary btn-sm">Procedia</a> <a href="https://publications.waset.org/abstracts/145090.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">154</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">516</span> Semantic Search Engine Based on Query Expansion with Google Ranking and Similarity Measures</h5> <div class="card-body"> <p class="card-text"><strong>Authors:</strong> <a href="https://publications.waset.org/abstracts/search?q=Ahmad%20Shahin">Ahmad Shahin</a>, <a href="https://publications.waset.org/abstracts/search?q=Fadi%20Chakik"> Fadi Chakik</a>, <a href="https://publications.waset.org/abstracts/search?q=Walid%20Moudani"> Walid Moudani</a> </p> <p class="card-text"><strong>Abstract:</strong></p> Our study is about elaborating a potential solution for a search engine that involves semantic technology to retrieve information and display it significantly. Semantic search engines are not used widely over the web as the majorities are still in Beta stage or under construction. Many problems face the current applications in semantic search, the major problem is to analyze and calculate the meaning of query in order to retrieve relevant information. Another problem is the ontology based index and its updates. Ranking results according to concept meaning and its relation with query is another challenge. In this paper, we are offering a light meta-engine (QESM) which uses Google search, and therefore Google’s index, with some adaptations to its returned results by adding multi-query expansion. The mission was to find a reliable ranking algorithm that involves semantics and uses concepts and meanings to rank results. At the beginning, the engine finds synonyms of each query term entered by the user based on a lexical database. Then, query expansion is applied to generate different semantically analogous sentences. These are generated randomly by combining the found synonyms and the original query terms. Our model suggests the use of semantic similarity measures between two sentences. Practically, we used this method to calculate semantic similarity between each query and the description of each page’s content generated by Google. The generated sentences are sent to Google engine one by one, and ranked again all together with the adapted ranking method (QESM). Finally, our system will place Google pages with higher similarities on the top of the results. We have conducted experimentations with 6 different queries. We have observed that most ranked results with QESM were altered with Google’s original generated pages. With our experimented queries, QESM generates frequently better accuracy than Google. In some worst cases, it behaves like Google. <p class="card-text"><strong>Keywords:</strong> <a href="https://publications.waset.org/abstracts/search?q=semantic%20search%20engine" title="semantic search engine">semantic search engine</a>, <a href="https://publications.waset.org/abstracts/search?q=Google%20indexing" title=" Google indexing"> Google indexing</a>, <a href="https://publications.waset.org/abstracts/search?q=query%20expansion" title=" query expansion"> query expansion</a>, <a href="https://publications.waset.org/abstracts/search?q=similarity%20measures" title=" similarity measures"> similarity measures</a> </p> <a href="https://publications.waset.org/abstracts/10857/semantic-search-engine-based-on-query-expansion-with-google-ranking-and-similarity-measures" class="btn btn-primary btn-sm">Procedia</a> <a href="https://publications.waset.org/abstracts/10857.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">425</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">515</span> The Democratization of 3D Capturing: An Application Investigating Google Tango Potentials</h5> <div class="card-body"> <p class="card-text"><strong>Authors:</strong> <a href="https://publications.waset.org/abstracts/search?q=Carlo%20Bianchini">Carlo Bianchini</a>, <a href="https://publications.waset.org/abstracts/search?q=Lorenzo%20Catena"> Lorenzo Catena</a> </p> <p class="card-text"><strong>Abstract:</strong></p> The appearance of 3D scanners and then, more recently, of image-based systems that generate point clouds directly from common digital images have deeply affected the survey process in terms of both capturing and 2D/3D modelling. In this context, low cost and mobile systems are increasingly playing a key role and actually paving the way to the democratization of what in the past was the realm of few specialized technicians and expensive equipment. The application of Google Tango on the ancient church of Santa Maria delle Vigne in Pratica di Mare – Rome presented in this paper is one of these examples. <p class="card-text"><strong>Keywords:</strong> <a href="https://publications.waset.org/abstracts/search?q=the%20architectural%20survey" title="the architectural survey">the architectural survey</a>, <a href="https://publications.waset.org/abstracts/search?q=augmented%2Fmixed%2Fvirtual%20reality" title=" augmented/mixed/virtual reality"> augmented/mixed/virtual reality</a>, <a href="https://publications.waset.org/abstracts/search?q=Google%20Tango%20project" title=" Google Tango project"> Google Tango project</a>, <a href="https://publications.waset.org/abstracts/search?q=image-based%203D%20capturing" title=" image-based 3D capturing"> image-based 3D capturing</a> </p> <a href="https://publications.waset.org/abstracts/91863/the-democratization-of-3d-capturing-an-application-investigating-google-tango-potentials" class="btn btn-primary btn-sm">Procedia</a> <a href="https://publications.waset.org/abstracts/91863.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">148</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">514</span> The Potential of Cloud Computing in Overcoming the Problems of Collective Learning</h5> <div class="card-body"> <p class="card-text"><strong>Authors:</strong> <a href="https://publications.waset.org/abstracts/search?q=Hussah%20M.%20AlShayea">Hussah M. AlShayea</a> </p> <p class="card-text"><strong>Abstract:</strong></p> This study aimed to identify the potential of cloud computing, "Google Drive" in overcoming the problems of collective learning from the viewpoint of Princess Noura University students. The study included (92) students from the College of Education. To achieve the goal of the study, several steps have been taken. First, the most important problems of collective learning were identified from the viewpoint of the students. After that, a survey identifying the potential of cloud computing "Google Drive" in overcoming the problems of collective learning was distributed among the students. The study results showed that the students believe that the use of Google Drive contributed to overcoming these problems. In the light of those results, the researcher presented a set of recommendations and proposals, including: encouraging teachers and learners to employ cloud computing to overcome the problems and constraints of collective learning. <p class="card-text"><strong>Keywords:</strong> <a href="https://publications.waset.org/abstracts/search?q=cloud%20computing" title="cloud computing">cloud computing</a>, <a href="https://publications.waset.org/abstracts/search?q=collective%20learning" title=" collective learning"> collective learning</a>, <a href="https://publications.waset.org/abstracts/search?q=Google%20drive" title=" Google drive"> Google drive</a>, <a href="https://publications.waset.org/abstracts/search?q=Princess%20Noura%20University" title=" Princess Noura University"> Princess Noura University</a> </p> <a href="https://publications.waset.org/abstracts/16964/the-potential-of-cloud-computing-in-overcoming-the-problems-of-collective-learning" class="btn btn-primary btn-sm">Procedia</a> <a href="https://publications.waset.org/abstracts/16964.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">492</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">513</span> Comparison of Slope Data between Google Earth and the Digital Terrain Model, for Registration in Car</h5> <div class="card-body"> <p class="card-text"><strong>Authors:</strong> <a href="https://publications.waset.org/abstracts/search?q=Andr%C3%A9%20Felipe%20Gimenez">André Felipe Gimenez</a>, <a href="https://publications.waset.org/abstracts/search?q=Fl%C3%A1via%20Alessandra%20Ribeiro%20da%20Silva"> Flávia Alessandra Ribeiro da Silva</a>, <a href="https://publications.waset.org/abstracts/search?q=Roberto%20Saverio%20Souza%20Costa"> Roberto Saverio Souza Costa</a> </p> <p class="card-text"><strong>Abstract:</strong></p> Currently, the rural producer has been facing problems regarding environmental regularization, which is precisely why the CAR (Rural Environmental Registry) was created. CAR is an electronic registry for rural properties with the purpose of assimilating notions about legal reserve areas, permanent preservation areas, areas of limited use, stable areas, forests and remnants of native vegetation, and all rural properties in Brazil. . The objective of this work was to evaluate and compare altimetry and slope data from google Earth with a digital terrain model (MDT) generated by aerophotogrammetry, in three plots of a steep slope, for the purpose of declaration in the CAR (Rural Environmental Registry). The realization of this work is justified in these areas, in which rural landowners have doubts about the reliability of the use of the free software Google Earth to diagnose inclinations greater than 25 degrees, as recommended by federal law 12651/2012. Added to the fact that in the literature, there is a deficiency of this type of study for the purpose of declaration of the CAR. The results showed that when comparing the drone altimetry data with the Google Earth image data, in areas of high slope (above 40% slope), Google underestimated the real values of terrain slope. Thus, it is concluded that Google Earth is not reliable for diagnosing areas with an inclination greater than 25 degrees (46% declivity) for the purpose of declaration in the CAR, being essential to carry out the local topographic survey. <p class="card-text"><strong>Keywords:</strong> <a href="https://publications.waset.org/abstracts/search?q=MDT" title="MDT">MDT</a>, <a href="https://publications.waset.org/abstracts/search?q=drone" title=" drone"> drone</a>, <a href="https://publications.waset.org/abstracts/search?q=RPA" title=" RPA"> RPA</a>, <a href="https://publications.waset.org/abstracts/search?q=SiCar" title=" SiCar"> SiCar</a>, <a href="https://publications.waset.org/abstracts/search?q=photogrammetry" title=" photogrammetry"> photogrammetry</a> </p> <a href="https://publications.waset.org/abstracts/152861/comparison-of-slope-data-between-google-earth-and-the-digital-terrain-model-for-registration-in-car" class="btn btn-primary btn-sm">Procedia</a> <a href="https://publications.waset.org/abstracts/152861.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">131</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">512</span> An Online Adaptive Thresholding Method to Classify Google Trends Data Anomalies for Investor Sentiment Analysis</h5> <div class="card-body"> <p class="card-text"><strong>Authors:</strong> <a href="https://publications.waset.org/abstracts/search?q=Duygu%20Dere">Duygu Dere</a>, <a href="https://publications.waset.org/abstracts/search?q=Mert%20Ergeneci"> Mert Ergeneci</a>, <a href="https://publications.waset.org/abstracts/search?q=Kaan%20Gokcesu"> Kaan Gokcesu</a> </p> <p class="card-text"><strong>Abstract:</strong></p> Google Trends data has gained increasing popularity in the applications of behavioral finance, decision science and risk management. Because of Google’s wide range of use, the Trends statistics provide significant information about the investor sentiment and intention, which can be used as decisive factors for corporate and risk management fields. However, an anomaly, a significant increase or decrease, in a certain query cannot be detected by the state of the art applications of computation due to the random baseline noise of the Trends data, which is modelled as an Additive white Gaussian noise (AWGN). Since through time, the baseline noise power shows a gradual change an adaptive thresholding method is required to track and learn the baseline noise for a correct classification. To this end, we introduce an online method to classify meaningful deviations in Google Trends data. Through extensive experiments, we demonstrate that our method can successfully classify various anomalies for plenty of different data. <p class="card-text"><strong>Keywords:</strong> <a href="https://publications.waset.org/abstracts/search?q=adaptive%20data%20processing" title="adaptive data processing">adaptive data processing</a>, <a href="https://publications.waset.org/abstracts/search?q=behavioral%20finance" title=" behavioral finance "> behavioral finance </a>, <a href="https://publications.waset.org/abstracts/search?q=convex%20optimization" title=" convex optimization"> convex optimization</a>, <a href="https://publications.waset.org/abstracts/search?q=online%20learning" title=" online learning"> online learning</a>, <a href="https://publications.waset.org/abstracts/search?q=soft%20minimum%20thresholding" title=" soft minimum thresholding"> soft minimum thresholding</a> </p> <a href="https://publications.waset.org/abstracts/92282/an-online-adaptive-thresholding-method-to-classify-google-trends-data-anomalies-for-investor-sentiment-analysis" class="btn btn-primary btn-sm">Procedia</a> <a href="https://publications.waset.org/abstracts/92282.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">167</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">511</span> Optimizing the Use of Google Translate in Translation Teaching: A Case Study at Prince Sultan University </h5> <div class="card-body"> <p class="card-text"><strong>Authors:</strong> <a href="https://publications.waset.org/abstracts/search?q=Saadia%20Elamin">Saadia Elamin</a> </p> <p class="card-text"><strong>Abstract:</strong></p> The quasi-universal use of smart phones with internet connection available all the time makes it a reflex action for translation undergraduates, once they encounter the least translation problem, to turn to the freely available web resource: Google Translate. Like for other translator resources and aids, the use of Google Translate needs to be moderated in such a way that it contributes to developing translation competence. Here, instead of interfering with students’ learning by providing ready-made solutions which might not always fit into the contexts of use, it can help to consolidate the skills of analysis and transfer which students have already acquired. One way to do so is by training students to adhere to the basic principles of translation work. The most important of these is that analyzing the source text for comprehension comes first and foremost before jumping into the search for target language equivalents. Another basic principle is that certain translator aids and tools can be used for comprehension, while others are to be confined to the phase of re-expressing the meaning into the target language. The present paper reports on the experience of making a measured and reasonable use of Google Translate in translation teaching at Prince Sultan University (PSU), Riyadh. First, it traces the development that has taken place in the field of translation in this age of information technology, be it in translation teaching and translator training, or in the real-world practice of the profession. Second, it describes how, with the aim of reflecting this development onto the way translation is taught, senior students, after being trained on post-editing machine translation output, are authorized to use Google Translate in classwork and assignments. Third, the paper elaborates on the findings of this case study which has demonstrated that Google Translate, if used at the appropriate levels of training, can help to enhance students’ ability to perform different translation tasks. This help extends from the search for terms and expressions, to the tasks of drafting the target text, revising its content and finally editing it. In addition, using Google Translate in this way fosters a reflexive and critical attitude towards web resources in general, maximizing thus the benefit gained from them in preparing students to meet the requirements of the modern translation job market. <p class="card-text"><strong>Keywords:</strong> <a href="https://publications.waset.org/abstracts/search?q=Google%20Translate" title="Google Translate">Google Translate</a>, <a href="https://publications.waset.org/abstracts/search?q=post-editing%20machine%20translation%20output" title=" post-editing machine translation output"> post-editing machine translation output</a>, <a href="https://publications.waset.org/abstracts/search?q=principles%20of%20translation%20work" title=" principles of translation work"> principles of translation work</a>, <a href="https://publications.waset.org/abstracts/search?q=translation%20competence" title=" translation competence"> translation competence</a>, <a href="https://publications.waset.org/abstracts/search?q=translation%20teaching" title=" translation teaching"> translation teaching</a>, <a href="https://publications.waset.org/abstracts/search?q=translator%20aids%20and%20tools" title=" translator aids and tools"> translator aids and tools</a> </p> <a href="https://publications.waset.org/abstracts/60413/optimizing-the-use-of-google-translate-in-translation-teaching-a-case-study-at-prince-sultan-university" class="btn btn-primary btn-sm">Procedia</a> <a href="https://publications.waset.org/abstracts/60413.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">473</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">510</span> Activation of Google Classroom Features to Engage Introvert Students in Comprehensible Output</h5> <div class="card-body"> <p class="card-text"><strong>Authors:</strong> <a href="https://publications.waset.org/abstracts/search?q=Raghad%20Dwaik">Raghad Dwaik</a> </p> <p class="card-text"><strong>Abstract:</strong></p> It is well known in language acquisition literature that a mere understanding of a reading text is not enough to help students build proficiency in comprehension. Students should rather follow understanding by attempting to express what has been understood by pushing their competence to the limit. Learners' attempt to push their competence was given the term "comprehensible output" by Swain (1985). Teachers in large classes, however, find it sometimes difficult to give all students a chance to communicate their views or to share their ideas during the short class time. In most cases, students who are outgoing dominate class discussion and get more opportunities for practice which leads to ignoring the shy students totally while helping the good ones become better. This paper presents the idea of using Google Classroom features of posting and commenting to allow students who hesitate to participate in class discussions about a reading text to write their views on the wall of a Google Classroom and share them later after they have received feedback and comments from classmates. Such attempts lead to developing their proficiency through additional practice in comprehensible output and to enhancing their confidence in themselves and their views. It was found that virtual classroom interaction would help students maintain vocabulary, use more complex structures and focus on meaning besides form. <p class="card-text"><strong>Keywords:</strong> <a href="https://publications.waset.org/abstracts/search?q=learning%20groups" title="learning groups">learning groups</a>, <a href="https://publications.waset.org/abstracts/search?q=reading%20TESOL" title=" reading TESOL"> reading TESOL</a>, <a href="https://publications.waset.org/abstracts/search?q=Google%20Classroom" title=" Google Classroom"> Google Classroom</a>, <a href="https://publications.waset.org/abstracts/search?q=comprehensible%20output" title=" comprehensible output"> comprehensible output</a> </p> <a href="https://publications.waset.org/abstracts/168277/activation-of-google-classroom-features-to-engage-introvert-students-in-comprehensible-output" class="btn btn-primary btn-sm">Procedia</a> <a href="https://publications.waset.org/abstracts/168277.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">75</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">509</span> State of Play of Mobile Government Apps on Google Play Store</h5> <div class="card-body"> <p class="card-text"><strong>Authors:</strong> <a href="https://publications.waset.org/abstracts/search?q=Abdelbaset%20Rabaiah">Abdelbaset Rabaiah</a> </p> <p class="card-text"><strong>Abstract:</strong></p> e-Government mobile applications provide an extension for effective e-government services in today’s omniconnected world. They constitute part of m-government platforms. This study explores the usefulness, availability, discoverability and maturity of such applications. While this study impacts theory by addressing a relatively lacking area, it impacts practice more. The outcomes of this study suggest valuable recommendations for practitioners-developers of e-government applications. The methodology followed is to examine a large number of e-government smartphone applications. The focus is on applications available at the Google Play Store. Moreover, the study investigates applications published on government portals of a number of countries. A sample of 15 countries is researched. The results show a diversity in the level of discoverability, development, maturity, and usage of smartphone apps dedicated for use of e-government services. It was found that there are major issues in discovering e-government applications on both the Google Play Store and as-well-as on local government portals. The study found that only a fraction of mobile government applications was published on the Play Store. Only 19% of apps were multilingual, and 43% were developed by third parties including private individuals. Further analysis was made, and important recommendations are suggested in this paper for a better utilization of e-government smartphone applications. These recommendations will result in better discoverability, maturity, and usefulness of e-government applications. <p class="card-text"><strong>Keywords:</strong> <a href="https://publications.waset.org/abstracts/search?q=mobile%20applications" title="mobile applications">mobile applications</a>, <a href="https://publications.waset.org/abstracts/search?q=e-government" title=" e-government"> e-government</a>, <a href="https://publications.waset.org/abstracts/search?q=m-government" title=" m-government"> m-government</a>, <a href="https://publications.waset.org/abstracts/search?q=Google%20Play%20Store" title=" Google Play Store"> Google Play Store</a> </p> <a href="https://publications.waset.org/abstracts/98733/state-of-play-of-mobile-government-apps-on-google-play-store" class="btn btn-primary btn-sm">Procedia</a> <a href="https://publications.waset.org/abstracts/98733.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">149</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">508</span> Gesture-Controlled Interface Using Computer Vision and Python</h5> <div class="card-body"> <p class="card-text"><strong>Authors:</strong> <a href="https://publications.waset.org/abstracts/search?q=Vedant%20Vardhan%20Rathour">Vedant Vardhan Rathour</a>, <a href="https://publications.waset.org/abstracts/search?q=Anant%20Agrawal"> Anant Agrawal</a> </p> <p class="card-text"><strong>Abstract:</strong></p> The project aims to provide a touchless, intuitive interface for human-computer interaction, enabling users to control their computer using hand gestures and voice commands. The system leverages advanced computer vision techniques using the MediaPipe framework and OpenCV to detect and interpret real time hand gestures, transforming them into mouse actions such as clicking, dragging, and scrolling. Additionally, the integration of a voice assistant powered by the Speech Recognition library allows for seamless execution of tasks like web searches, location navigation and gesture control on the system through voice commands. <p class="card-text"><strong>Keywords:</strong> <a href="https://publications.waset.org/abstracts/search?q=gesture%20recognition" title="gesture recognition">gesture recognition</a>, <a href="https://publications.waset.org/abstracts/search?q=hand%20tracking" title=" hand tracking"> hand tracking</a>, <a href="https://publications.waset.org/abstracts/search?q=machine%20learning" title=" machine learning"> machine learning</a>, <a href="https://publications.waset.org/abstracts/search?q=convolutional%20neural%20networks" title=" convolutional neural networks"> convolutional neural networks</a> </p> <a href="https://publications.waset.org/abstracts/193844/gesture-controlled-interface-using-computer-vision-and-python" class="btn btn-primary btn-sm">Procedia</a> <a href="https://publications.waset.org/abstracts/193844.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">12</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">507</span> Empirical Study on Factors Influencing SEO</h5> <div class="card-body"> <p class="card-text"><strong>Authors:</strong> <a href="https://publications.waset.org/abstracts/search?q=Pakinee%20Aimmanee">Pakinee Aimmanee</a>, <a href="https://publications.waset.org/abstracts/search?q=Phoom%20Chokratsamesiri"> Phoom Chokratsamesiri</a> </p> <p class="card-text"><strong>Abstract:</strong></p> Search engine has become an essential tool nowadays for people to search for their needed information on the internet. In this work, we evaluate the performance of the search engine from three factors: the keyword frequency, the number of inbound links, and the difficulty of the keyword. The evaluations are based on the ranking position and the number of days that Google has seen or detect the webpage. We find that the keyword frequency and the difficulty of the keyword do not affect the Google ranking where the number of inbound links gives remarkable improvement of the ranking position. The optimal number of inbound links found in the experiment is 10. <p class="card-text"><strong>Keywords:</strong> <a href="https://publications.waset.org/abstracts/search?q=SEO" title="SEO">SEO</a>, <a href="https://publications.waset.org/abstracts/search?q=information%20retrieval" title=" information retrieval"> information retrieval</a>, <a href="https://publications.waset.org/abstracts/search?q=web%20search" title=" web search"> web search</a>, <a href="https://publications.waset.org/abstracts/search?q=knowledge%20technologies" title=" knowledge technologies"> knowledge technologies</a> </p> <a href="https://publications.waset.org/abstracts/9414/empirical-study-on-factors-influencing-seo" class="btn btn-primary btn-sm">Procedia</a> <a href="https://publications.waset.org/abstracts/9414.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">283</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">506</span> Brief Guide to Cloud-Based AI Prototyping: Key Insights from Selected Case Studies Using Google Cloud Platform</h5> <div class="card-body"> <p class="card-text"><strong>Authors:</strong> <a href="https://publications.waset.org/abstracts/search?q=Kamellia%20Reshadi">Kamellia Reshadi</a>, <a href="https://publications.waset.org/abstracts/search?q=Pranav%20Ragji"> Pranav Ragji</a>, <a href="https://publications.waset.org/abstracts/search?q=Theodoros%20Soldatos"> Theodoros Soldatos</a> </p> <p class="card-text"><strong>Abstract:</strong></p> Recent advancements in cloud computing and storage, along with rapid progress in artificial intelligence (AI), have transformed approaches to developing efficient, scalable applications. However, integrating AI with cloud computing poses challenges as these fields are often disjointed, and many advancements remain difficult to access, obscured in complex documentation or scattered across research reports. For this reason, we share experiences from prototype projects combining these technologies. Specifically, we focus on Google Cloud Platform (GCP) functionalities and describe vision and speech activities applied to labeling, subtitling, and urban traffic flow tasks. We describe challenges, pricing, architecture, and other key features, considering the goal of real-time performance. We hope our demonstrations provide not only essential guidelines for using these functionalities but also enable more similar approaches. <p class="card-text"><strong>Keywords:</strong> <a href="https://publications.waset.org/abstracts/search?q=artificial%20intelligence" title="artificial intelligence">artificial intelligence</a>, <a href="https://publications.waset.org/abstracts/search?q=cloud%20computing" title=" cloud computing"> cloud computing</a>, <a href="https://publications.waset.org/abstracts/search?q=real-time%20applications" title=" real-time applications"> real-time applications</a>, <a href="https://publications.waset.org/abstracts/search?q=case%20studies" title=" case studies"> case studies</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=research%20and%20development" title=" research and development"> research and development</a>, <a href="https://publications.waset.org/abstracts/search?q=text%20labeling" title=" text labeling"> text labeling</a>, <a href="https://publications.waset.org/abstracts/search?q=video%20annotation" title=" video annotation"> video annotation</a>, <a href="https://publications.waset.org/abstracts/search?q=urban%20traffic%20analysis" title=" urban traffic analysis"> urban traffic analysis</a>, <a href="https://publications.waset.org/abstracts/search?q=public%20safety" title=" public safety"> public safety</a>, <a href="https://publications.waset.org/abstracts/search?q=prototyping" title=" prototyping"> prototyping</a>, <a href="https://publications.waset.org/abstracts/search?q=Google%20Cloud%20Platform" title=" Google Cloud Platform"> Google Cloud Platform</a> </p> <a href="https://publications.waset.org/abstracts/194679/brief-guide-to-cloud-based-ai-prototyping-key-insights-from-selected-case-studies-using-google-cloud-platform" class="btn btn-primary btn-sm">Procedia</a> <a href="https://publications.waset.org/abstracts/194679.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">9</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">505</span> A Review of Existing Turnover Intention Theories</h5> <div class="card-body"> <p class="card-text"><strong>Authors:</strong> <a href="https://publications.waset.org/abstracts/search?q=Pauline%20E.%20Ngo-Henha">Pauline E. Ngo-Henha</a> </p> <p class="card-text"><strong>Abstract:</strong></p> Existing turnover intention theories are reviewed in this paper. This review was conducted with the help of the search keyword “turnover intention theories” in Google Scholar during the month of July 2017. These theories include: The Theory of Organizational Equilibrium (TOE), Social Exchange Theory, Job Embeddedness Theory, Herzberg’s Two-Factor Theory, the Resource-Based View, Equity Theory, Human Capital Theory, and the Expectancy Theory. One of the limitations of this review paper is that data were only collected from Google Scholar where many papers were sometimes not freely accessible. However, this paper attempts to contribute to the research in clarifying the distinction between theories and models in the context of turnover intention. <p class="card-text"><strong>Keywords:</strong> <a href="https://publications.waset.org/abstracts/search?q=Literature%20Review" title="Literature Review">Literature Review</a>, <a href="https://publications.waset.org/abstracts/search?q=Theory" title=" Theory"> Theory</a>, <a href="https://publications.waset.org/abstracts/search?q=Turnover" title=" Turnover"> Turnover</a>, <a href="https://publications.waset.org/abstracts/search?q=Turnover%20intention" title=" Turnover intention"> Turnover intention</a> </p> <a href="https://publications.waset.org/abstracts/81252/a-review-of-existing-turnover-intention-theories" class="btn btn-primary btn-sm">Procedia</a> <a href="https://publications.waset.org/abstracts/81252.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">455</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">504</span> Business Intelligence Proposal to Improve Decision Making in Companies Using Google Cloud Platform and Microsoft Power BI</h5> <div class="card-body"> <p class="card-text"><strong>Authors:</strong> <a href="https://publications.waset.org/abstracts/search?q=Joel%20Vilca%20Tarazona">Joel Vilca Tarazona</a>, <a href="https://publications.waset.org/abstracts/search?q=Igor%20Aguilar-Alonso"> Igor Aguilar-Alonso</a> </p> <p class="card-text"><strong>Abstract:</strong></p> The problem of this research related to business intelligence is the lack of a tool that supports automated and efficient financial analysis for decision-making and allows an evaluation of the financial statements, which is why the availability of the information is difficult. Relevant information to managers and users as an instrument in decision making financial, and administrative. For them, a business intelligence solution is proposed that will reduce information access time, personnel costs, and process automation, proposing a 4-layer architecture based on what was reviewed by the research methodology. <p class="card-text"><strong>Keywords:</strong> <a href="https://publications.waset.org/abstracts/search?q=decision%20making" title="decision making">decision making</a>, <a href="https://publications.waset.org/abstracts/search?q=business%20intelligence" title=" business intelligence"> business intelligence</a>, <a href="https://publications.waset.org/abstracts/search?q=Google%20Cloud" title=" Google Cloud"> Google Cloud</a>, <a href="https://publications.waset.org/abstracts/search?q=Microsoft%20Power%20BI" title=" Microsoft Power BI"> Microsoft Power BI</a> </p> <a href="https://publications.waset.org/abstracts/160680/business-intelligence-proposal-to-improve-decision-making-in-companies-using-google-cloud-platform-and-microsoft-power-bi" class="btn btn-primary btn-sm">Procedia</a> <a href="https://publications.waset.org/abstracts/160680.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 class="card paper-listing mb-3 mt-3"> <h5 class="card-header" style="font-size:.9rem"><span class="badge badge-info">503</span> When Digital Innovation Augments Cultural Heritage: An Innovation from Tradition Story</h5> <div class="card-body"> <p class="card-text"><strong>Authors:</strong> <a href="https://publications.waset.org/abstracts/search?q=Danilo%20Pesce">Danilo Pesce</a>, <a href="https://publications.waset.org/abstracts/search?q=Emilio%20Paolucci"> Emilio Paolucci</a>, <a href="https://publications.waset.org/abstracts/search?q=Mariolina%20Affatato"> Mariolina Affatato</a> </p> <p class="card-text"><strong>Abstract:</strong></p> Looking at the future and at the post-digital era, innovations commonly tend to dismiss the old and replace it with the new. The aim of this research is to study the role that digital innovation can play alongside the information chain within the traditional sectors and the subsequent value creation opportunities that actors and stakeholders can exploit. By drawing on a wide body of literature on innovation and strategic management and by conducting a case study on the cultural heritage industry, namely Google Arts & Culture, this study shows that technology augments complements, and amplifies the way people experience their cultural interests and experience. Furthermore, the study shows a process of democratization of art since museums can exploit new digital and virtual ways to distribute art globally. Moreover, new needs arose from the 2020 pandemic that hit and forced the world to a state of cultural fasting and caused a radical transformation of the paradigm online vs. onsite. Finally, the study highlights the capabilities that are emerging at different stages of the value chain, owing to the technological innovation available in the market. In essence, this research underlines the role of Google in allowing museums to reach users worldwide, thus unlocking new mechanisms of value creation in the cultural heritage industry. Likewise, this study points out how Google provides value to users by means of increasing the provision of artworks, improving the audience engagement and virtual experience, and providing new ways to access the online contents. The paper ends with a discussion of managerial and policy-making implications. <p class="card-text"><strong>Keywords:</strong> <a href="https://publications.waset.org/abstracts/search?q=big%20data" title="big data">big data</a>, <a href="https://publications.waset.org/abstracts/search?q=digital%20platforms" title=" digital platforms"> digital platforms</a>, <a href="https://publications.waset.org/abstracts/search?q=digital%20transformation" title=" digital transformation"> digital transformation</a>, <a href="https://publications.waset.org/abstracts/search?q=digitization" title=" digitization"> digitization</a>, <a href="https://publications.waset.org/abstracts/search?q=Google%20Arts%20and%20Culture" title=" Google Arts and Culture"> Google Arts and Culture</a>, <a href="https://publications.waset.org/abstracts/search?q=stakeholders%E2%80%99%20interests" title=" stakeholders’ interests"> stakeholders’ interests</a> </p> <a href="https://publications.waset.org/abstracts/134277/when-digital-innovation-augments-cultural-heritage-an-innovation-from-tradition-story" class="btn btn-primary btn-sm">Procedia</a> <a href="https://publications.waset.org/abstracts/134277.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">157</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">502</span> Efficiency of Google Translate and Bing Translator in Translating Persian-to-English Texts</h5> <div class="card-body"> <p class="card-text"><strong>Authors:</strong> <a href="https://publications.waset.org/abstracts/search?q=Samad%20Sajjadi">Samad Sajjadi</a> </p> <p class="card-text"><strong>Abstract:</strong></p> Machine translation is a new subject increasingly being used by academic writers, especially students and researchers whose native language is not English. There are numerous studies conducted on machine translation, but few investigations have assessed the accuracy of machine translation from Persian to English at lexical, semantic, and syntactic levels. Using Groves and Mundt’s (2015) Model of error taxonomy, the current study evaluated Persian-to-English translations produced by two famous online translators, Google Translate and Bing Translator. A total of 240 texts were randomly selected from different academic fields (law, literature, medicine, and mass media), and 60 texts were considered for each domain. All texts were rendered by the two translation systems and then by four human translators. All statistical analyses were applied using SPSS. The results indicated that Google translations were more accurate than the translations produced by the Bing Translator, especially in the domains of medicine (lexis: 186 vs. 225; semantic: 44 vs. 48; syntactic: 148 vs. 264 errors) and mass media (lexis: 118 vs. 149; semantic: 25 vs. 32; syntactic: 110 vs. 220 errors), respectively. Nonetheless, both machines are reasonably accurate in Persian-to-English translation of lexicons and syntactic structures, particularly from mass media and medical texts. <p class="card-text"><strong>Keywords:</strong> <a href="https://publications.waset.org/abstracts/search?q=machine%20translations" title="machine translations">machine translations</a>, <a href="https://publications.waset.org/abstracts/search?q=accuracy" title=" accuracy"> accuracy</a>, <a href="https://publications.waset.org/abstracts/search?q=human%20translation" title=" human translation"> human translation</a>, <a href="https://publications.waset.org/abstracts/search?q=efficiency" title=" efficiency"> efficiency</a> </p> <a href="https://publications.waset.org/abstracts/168140/efficiency-of-google-translate-and-bing-translator-in-translating-persian-to-english-texts" class="btn btn-primary btn-sm">Procedia</a> <a href="https://publications.waset.org/abstracts/168140.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">77</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">501</span> Evaluation of Coastal Erosion in the Jurisdiction of the Municipalities of Puerto Colombia and Tubará, Atlántico – Colombia in Google Earth Engine with Landsat and Sentinel 2 Images</h5> <div class="card-body"> <p class="card-text"><strong>Authors:</strong> <a href="https://publications.waset.org/abstracts/search?q=Francisco%20Reyes">Francisco Reyes</a>, <a href="https://publications.waset.org/abstracts/search?q=Hector%20Ramirez"> Hector Ramirez</a> </p> <p class="card-text"><strong>Abstract:</strong></p> In the coastal zones are home to mangrove swamps, coral reefs, and seagrass ecosystems, which are the most biodiverse and fragile on the planet. These areas support a great diversity of marine life; they are also extraordinarily important for humans in the provision of food, water, wood, and other associated goods and services; they also contribute to climate regulation. The lack of an automated model that generates information on the dynamics of changes in coastlines and coastal erosion is identified as a central problem. Coastlines were determined from 1984 to 2020 on the Google Earth platform Engine from Landsat and Sentinel images, using the Normalized Differential Water Index (MNDWI) and Digital Shoreline Analysis System (DSAS) v5.0. Starting from the 2020 coastline, the 10-year prediction (Year 2031) was determined with the erosion of 238.32 hectares and an accretion of 181.96 hectares, while the 20-year prediction (Year 2041) will be presented an erosion of 544.04 hectares and an accretion of 133.94 hectares. The erosion and accretion of Playa Muelle in the municipality of Puerto Colombia were established, which will register the highest value of erosion. The coverage that presented the greatest change was that of artificialized Territories. <p class="card-text"><strong>Keywords:</strong> <a href="https://publications.waset.org/abstracts/search?q=coastline" title="coastline">coastline</a>, <a href="https://publications.waset.org/abstracts/search?q=coastal%20erosion" title=" coastal erosion"> coastal erosion</a>, <a href="https://publications.waset.org/abstracts/search?q=MNDWI" title=" MNDWI"> MNDWI</a>, <a href="https://publications.waset.org/abstracts/search?q=Google%20Earth%20Engine" title=" Google Earth Engine"> Google Earth Engine</a>, <a href="https://publications.waset.org/abstracts/search?q=Colombia" title=" Colombia"> Colombia</a> </p> <a href="https://publications.waset.org/abstracts/156010/evaluation-of-coastal-erosion-in-the-jurisdiction-of-the-municipalities-of-puerto-colombia-and-tubara-atlantico-colombia-in-google-earth-engine-with-landsat-and-sentinel-2-images" class="btn btn-primary btn-sm">Procedia</a> <a href="https://publications.waset.org/abstracts/156010.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">120</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">500</span> Bidirectional Encoder Representations from Transformers Sentiment Analysis Applied to Three Presidential Pre-Candidates in Costa Rica</h5> <div class="card-body"> <p class="card-text"><strong>Authors:</strong> <a href="https://publications.waset.org/abstracts/search?q=F%C3%A9lix%20David%20Su%C3%A1rez%20Bonilla">Félix David Suárez Bonilla</a> </p> <p class="card-text"><strong>Abstract:</strong></p> A sentiment analysis service to detect polarity (positive, neural, and negative), based on transfer learning, was built using a Spanish version of BERT and applied to tweets written in Spanish. The dataset that was used consisted of 11975 reviews, which were extracted from Google Play using the google-play-scrapper package. The BETO trained model used: the AdamW optimizer, a batch size of 16, a learning rate of 2x10⁻⁵ and 10 epochs. The system was tested using tweets of three presidential pre-candidates from Costa Rica. The system was finally validated using human labeled examples, achieving an accuracy of 83.3%. <p class="card-text"><strong>Keywords:</strong> <a href="https://publications.waset.org/abstracts/search?q=NLP" title="NLP">NLP</a>, <a href="https://publications.waset.org/abstracts/search?q=transfer%20learning" title=" transfer learning"> transfer learning</a>, <a href="https://publications.waset.org/abstracts/search?q=BERT" title=" BERT"> BERT</a>, <a href="https://publications.waset.org/abstracts/search?q=sentiment%20analysis" title=" sentiment analysis"> sentiment analysis</a>, <a href="https://publications.waset.org/abstracts/search?q=social%20media" title=" social media"> social media</a>, <a href="https://publications.waset.org/abstracts/search?q=opinion%20mining" title=" opinion mining"> opinion mining</a> </p> <a href="https://publications.waset.org/abstracts/144475/bidirectional-encoder-representations-from-transformers-sentiment-analysis-applied-to-three-presidential-pre-candidates-in-costa-rica" class="btn btn-primary btn-sm">Procedia</a> <a href="https://publications.waset.org/abstracts/144475.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">174</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">499</span> Technology Enhanced Learning Using Virtual and Augmented Realities: An Applied Method to Improve the Animation Teaching Delivery</h5> <div class="card-body"> <p class="card-text"><strong>Authors:</strong> <a href="https://publications.waset.org/abstracts/search?q=Rosana%20Marar">Rosana Marar</a>, <a href="https://publications.waset.org/abstracts/search?q=Edward%20Jaser"> Edward Jaser</a> </p> <p class="card-text"><strong>Abstract:</strong></p> This paper presents a software solution to enhance the content and presentation of graphic design and animation related textbooks. Using augmented and virtual reality concepts, a mobile application is developed to improve the static material found in books. This allows users to interact with animated examples and tutorials using their mobile phones and stereoscopic 3D viewers which will enhance information delivery. The application is tested on Google Cardboard with visual content in 3D space. Evaluation of the proposed application demonstrates that it improved the readability of static content and provided new experiences to the reader. <p class="card-text"><strong>Keywords:</strong> <a href="https://publications.waset.org/abstracts/search?q=animation" title="animation">animation</a>, <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=google%20cardboard" title=" google cardboard"> google cardboard</a>, <a href="https://publications.waset.org/abstracts/search?q=interactive%20media" title=" interactive media"> interactive media</a>, <a href="https://publications.waset.org/abstracts/search?q=technology%20enhanced%20learning" title=" technology enhanced learning"> technology enhanced learning</a>, <a href="https://publications.waset.org/abstracts/search?q=virtual%20reality" title=" virtual reality"> virtual reality</a> </p> <a href="https://publications.waset.org/abstracts/85549/technology-enhanced-learning-using-virtual-and-augmented-realities-an-applied-method-to-improve-the-animation-teaching-delivery" class="btn btn-primary btn-sm">Procedia</a> <a href="https://publications.waset.org/abstracts/85549.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">181</span> </span> </div> </div> <ul class="pagination"> <li class="page-item disabled"><span class="page-link">&lsaquo;</span></li> <li class="page-item active"><span class="page-link">1</span></li> <li class="page-item"><a class="page-link" href="https://publications.waset.org/abstracts/search?q=Google%E2%80%99s%20MediaPipe&page=2">2</a></li> <li class="page-item"><a class="page-link" href="https://publications.waset.org/abstracts/search?q=Google%E2%80%99s%20MediaPipe&page=3">3</a></li> <li class="page-item"><a class="page-link" href="https://publications.waset.org/abstracts/search?q=Google%E2%80%99s%20MediaPipe&page=4">4</a></li> <li class="page-item"><a class="page-link" href="https://publications.waset.org/abstracts/search?q=Google%E2%80%99s%20MediaPipe&page=5">5</a></li> <li class="page-item"><a class="page-link" href="https://publications.waset.org/abstracts/search?q=Google%E2%80%99s%20MediaPipe&page=6">6</a></li> <li class="page-item"><a class="page-link" href="https://publications.waset.org/abstracts/search?q=Google%E2%80%99s%20MediaPipe&page=7">7</a></li> <li class="page-item"><a class="page-link" href="https://publications.waset.org/abstracts/search?q=Google%E2%80%99s%20MediaPipe&page=8">8</a></li> <li class="page-item"><a class="page-link" href="https://publications.waset.org/abstracts/search?q=Google%E2%80%99s%20MediaPipe&page=9">9</a></li> <li class="page-item"><a class="page-link" href="https://publications.waset.org/abstracts/search?q=Google%E2%80%99s%20MediaPipe&page=10">10</a></li> <li class="page-item disabled"><span class="page-link">...</span></li> <li class="page-item"><a class="page-link" href="https://publications.waset.org/abstracts/search?q=Google%E2%80%99s%20MediaPipe&page=17">17</a></li> <li class="page-item"><a class="page-link" href="https://publications.waset.org/abstracts/search?q=Google%E2%80%99s%20MediaPipe&page=18">18</a></li> <li class="page-item"><a class="page-link" href="https://publications.waset.org/abstracts/search?q=Google%E2%80%99s%20MediaPipe&page=2" rel="next">&rsaquo;</a></li> </ul> </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 class="list-unstyled"> Account <li><a href="https://waset.org/profile">My Account</a></li> </ul> </div> <div class="col-md-2"> <ul class="list-unstyled"> Explore <li><a href="https://waset.org/disciplines">Disciplines</a></li> <li><a href="https://waset.org/conferences">Conferences</a></li> <li><a href="https://waset.org/conference-programs">Conference Program</a></li> <li><a href="https://waset.org/committees">Committees</a></li> <li><a href="https://publications.waset.org">Publications</a></li> </ul> </div> <div class="col-md-2"> <ul class="list-unstyled"> Research <li><a href="https://publications.waset.org/abstracts">Abstracts</a></li> <li><a href="https://publications.waset.org">Periodicals</a></li> <li><a href="https://publications.waset.org/archive">Archive</a></li> </ul> </div> <div class="col-md-2"> <ul class="list-unstyled"> Open Science <li><a target="_blank" rel="nofollow" href="https://publications.waset.org/static/files/Open-Science-Philosophy.pdf">Open Science Philosophy</a></li> <li><a target="_blank" rel="nofollow" href="https://publications.waset.org/static/files/Open-Science-Award.pdf">Open Science Award</a></li> <li><a target="_blank" rel="nofollow" href="https://publications.waset.org/static/files/Open-Society-Open-Science-and-Open-Innovation.pdf">Open Innovation</a></li> <li><a target="_blank" rel="nofollow" href="https://publications.waset.org/static/files/Postdoctoral-Fellowship-Award.pdf">Postdoctoral Fellowship Award</a></li> <li><a target="_blank" rel="nofollow" href="https://publications.waset.org/static/files/Scholarly-Research-Review.pdf">Scholarly Research Review</a></li> </ul> </div> <div class="col-md-2"> <ul class="list-unstyled"> Support <li><a href="https://waset.org/page/support">Support</a></li> <li><a href="https://waset.org/profile/messages/create">Contact Us</a></li> <li><a href="https://waset.org/profile/messages/create">Report Abuse</a></li> </ul> </div> </div> </div> </div> </div> <div class="container text-center"> <hr style="margin-top:0;margin-bottom:.3rem;"> <a href="https://creativecommons.org/licenses/by/4.0/" target="_blank" class="text-muted small">Creative Commons Attribution 4.0 International License</a> <div id="copy" class="mt-2">© 2024 World Academy of Science, Engineering and Technology</div> </div> </footer> <a href="javascript:" id="return-to-top"><i class="fas fa-arrow-up"></i></a> <div class="modal" id="modal-template"> <div class="modal-dialog"> <div class="modal-content"> <div class="row m-0 mt-1"> <div class="col-md-12"> <button type="button" class="close" data-dismiss="modal" aria-label="Close"><span aria-hidden="true">×</span></button> </div> </div> <div class="modal-body"></div> </div> </div> </div> <script src="https://cdn.waset.org/static/plugins/jquery-3.3.1.min.js"></script> <script src="https://cdn.waset.org/static/plugins/bootstrap-4.2.1/js/bootstrap.bundle.min.js"></script> <script src="https://cdn.waset.org/static/js/site.js?v=150220211556"></script> <script> jQuery(document).ready(function() { /*jQuery.get("https://publications.waset.org/xhr/user-menu", function (response) { jQuery('#mainNavMenu').append(response); });*/ jQuery.get({ url: "https://publications.waset.org/xhr/user-menu", cache: false }).then(function(response){ jQuery('#mainNavMenu').append(response); }); }); </script> </body> </html>