1,720,954 research outputs found
Perancangan Sistem Monitoring Dan Alarm Atensi Mahasiswa Untuk Mobile Learning Menggunakan Pengenalan Ekspresi Wajah Dengan Metode Jaringan Saraf Tiruan
No full textSeiring dengan perkembangan teknologi, pembelajaran juga mengalami perubahan, salah satunya adalah pembelajaran secara daring atau online learning. Media belajar juga sudah berkembangan dengan memanfaatkan perangkat seluler yang dikenal sebagai Mobile Learning (m-learning). Kondisi m-learning cenderung mempersulit pengajar untuk mengevaluasi komitmen siswa dalam hybrid maupun kelas daring, seperti kurangnya perhatian dari siswa. Agar dosen menyadari akan kurangnya perhatian siswa selama pertemuan kelas, maka akan lebih bermanfaat terdapat sistem monitoring dan alarm atensi mahasiswa selama pembelajaran m-learning berlangsung yang dapat membantu dosen dalam mengetahui kondisi kelas daring. Sistem FER ini dirancang agar dapt mendeteksi ekspresi wajah Drowsy dan Neutral. FER diawali proses face detection dengan Haar-Cascade classifier, kemudian dilanjutkan facial feature extraction menggunakan 68 facial landmarks, dan terakhir adalah model klasifikasi menggunakan CNN. Hasil traning model CNN diperoleh akurasi train, validasi, dan test secara berturut-turut adalah 99.7%, 94.9%, dan 99.0%. Sistem kemudian diimplementasikan pada Raspberry Pi 4 dan Pi Camera V2 untuk mendeteksi secara real-time proses pembelajaran m-learning pada data rekaman pembelajaran kelas daring mahasiswa Teknik Fisika ITS. Berdasarkan hasil implementasi, jumlah hasil deteksi ekspresi wajah pada satu frame yang sama paling banyak adalah 11 ekspresi wajah (5 Drowsy dan 6 Neutral) dari 20 mahasiswa yang tertangkap kamera, atau sekitar 55% berhasil terdeteksi ekspresi wajahnya. Sistem juga dapat memberikan peringatan kepada dosen seberapa sering mahasiswa pada kelas tersebut terdeteksi Drowsy atau tidak atensi dalam interval waktu 10 menit. Resolusi dan tingkat pencahayaan akan berpotensi meningkatkan performa sistem monitoring dan alarm ini.
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Along with technological advancements, education has also undergone changes, one of which is the shift towards online learning or e-learning. Learning media has also evolved by leveraging mobile devices known as Mobile Learning (m-learning). The m-learning environment tends to challenge educators in assessing students' commitment in hybrid or online classes, such as the lack of attention from students. To address this issue and help educators be aware of students' lack of attention during online learning sessions, a monitoring system with an attention alarm for students during m-learning was proposed. This system aims to assist educators in understanding the condition of online classes. The Facial Expression Recognition (FER) system is designed to detect Drowsy and Neutral facial expressions. The FER system starts with face detection using the Haar-Cascade classifier, followed by facial feature extraction using 68 facial landmarks, and lastly, classification using Convolutional Neural Network (CNN). The trained CNN model achieved training, validation, and test accuracies of 99.7%, 94.9%, and 99.0%, respectively. The system was then implemented on a Raspberry Pi 4 and Pi Camera V2 to detect real-time facial expressions during m-learning sessions, using recorded data from online physics classes at ITS (Institut Teknologi Sepuluh Nopember). Based on the implementation results, the highest number of facial expression detections in a single frame was 11 facial expressions (5 Drowsy and 6 Neutral) out of 20 students captured by the camera, approximately detecting 55% of their facial expressions. The system also provides alerts to educators about how often students are detected as Drowsy or inattentive during a 10-minute interval. Improving the resolution and lighting conditions could potentially enhance the performance of this monitoring and alarm system
Going Beyond Counting First Authors in Author Co-citation Analysis
Full text linkThe present study examines one of the fundamental aspects of author co-citation analysis (ACA) - the way co-citation
counts are defined. Co-citation counting provides the data on which all subsequent statistical analyses and mappings
are based, and we compare ACA results based on two different types of co-citation counting - the traditional type that
only counts the first one among a cited work's authors on the one hand and a non-traditional type that takes into
account the first 5 authors of a cited work on the other hand. Results indicate that the picture produced through this non-traditional author co-citation counting contains more coherent author groups and is therefore considerably clearer. However, this picture represents fewer specialties in the research field being studied than that produced through the traditional first-author co-citation counting when the same number of top-ranked authors is selected and analyzed. Reasons for these effects are discussed
Variations on the Author
Full text link“Variations on the Author” discusses two of Eduardo Coutinho’s recent films (Um Dia na Vida, from 2010, and Últimas Conversas, posthumously released in 2015) and their contribution to the general question of documentary authorship. The director’s filmography is characterized by a consistent yet self-effacing form of authorial self-inscription: Coutinho often features as an interviewer that rather than express opinions propels discourses; an interviewer that is good at listening. This mode of self-inscription characterizes him as an author who is not expressive but who is nonetheless markedly present on the screen. In Um Dia na Vida, however, Coutinho is completely absent form the image, while Últimas Conversas, on the contrary, includes a confessional prologue that moves the director from the margins to the center of his films. This article examines the ways in which these works stand out in the filmography of a director who offers new insights into the notion of cinematic authorship
Appropriate Similarity Measures for Author Cocitation Analysis
Full text linkWe provide a number of new insights into the methodological discussion about author cocitation analysis. We first argue that the use of the Pearson correlation for measuring the similarity between authors’ cocitation profiles is not very satisfactory. We then discuss what kind of similarity measures may be used as an alternative to the Pearson correlation. We consider three similarity measures in particular. One is the well-known cosine. The other two similarity measures have not been used before in the bibliometric literature. Finally, we show by means of an example that our findings have a high practical relevance.information science;Pearson correlation;cosine;similarity measure;author cocitation analysis
Design and Development of a System for Monitoring Student Attention and Concentration during Learning using CNN Model and Face Landmark Detection
Full text linkMobile learning media has been wide and provides a tendency for lecturers to identify students' concentration levels in online classes. To bring the class into active learning, efforts are needed from lecturers and educational institutions to return students' concentration to the ongoing learning process. In this paper, a monitoring and alarm system is designed to increase student concentration and combines two elements of statistical analysis to validate CNN models that recognize face emotions in real time while learning. The research was carried out by recording face data using a camera, extracting digital features, and analyzing facial features. The results of the analysis are used as data input for the decision-making system regarding the level of concentration. The concentration level will be used to activate alarms and send them via chat so that students can focus on learning.The system is created by merging facial expression recognition (FER) and decision-making with a convolutional neural network. The system using a face landmark via camera V2 and a Raspberry Pi 4 performed with the Haar-Cascade classifier, extracting facial features. Face detection via camera is performed using the Haar-Cascade classifier, which extracts facial features. The results of CNN model face detection with landmark features showed good results, with weighted average performance of precision, recall, and F1-score close to 0.99. According to the implementation results, the average number of facial expressions identified in drowsy and neutral states. The device can alert lecturers to how frequently drowsy detects students within a 10-minute interval
Dispelling the Myths Behind First-author Citation Counts
Full text linkWe conducted a full-scale evaluative citation analysis study of scholars in the XML research field to explore just how different from each other author rankings resulting from different citation counting methods actually are, and to demonstrate the capability of emerging data and tools on the Web in supporting more realistic citation counting methods. Our results contest some common arguments for the continued
use of first-author citation counts in the evaluation of scholars, such as high correlations between author rankings by first-author citation counts and other citation
counting methods, and high costs of using more realistic citation counting methods that are not well-supported by the ISI databases. It is argued that increasingly available digital full text research papers make it possible for citation analysis studies to go beyond what the ISI databases have directly supported and to employ more
sophisticated methods
koamabayili/VECTRON-author-checklist: VECTRON author checklist
No full textWe have done our best to complete the author checklist relating to the use of animals in the hut study. Note that the objective for the hut study was to evaluate the IRS treatment applications for residual efficacy against Anopheles mosquitoes, including the local An. coluzzii mosquito population. Cows were only used to attract mosquitoes into the huts and no tests were carried out directly on the cows. The author checklist is intended for use with studies where experiments are carried out on animals, which is why we have had such difficulty in completing this for the hut study, as many of the questions do not relate to how the cows were used
Author-wise bibliometric analysis based on entropy.
No full textAuthor-wise bibliometric analysis based on entropy.</p
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