1,720,957 research outputs found
Sistem Replikasi Pangkalan Data Pendidikan Tinggi (Pdpt) Terintegrasi Dengan Teknik Ip-Streaming
Pangkalan Data Pendidikan Tinggi (PDPT) merupakan rekaman data menyangkut penyelenggaraan Perguruan Tinggi (PT) baik data akademik maupun data non-akademik, yang memerlukan pengelolaan tersistematis agar dapat menghasilkan informasi yang bermanfaat. Data PT digunakan untuk mendukung pengelolaan data mencakup semua siklus manajemen, validasi, dan kelengkapan data yang terdapat di internal Ditjen DIKTI dan entitas lainnya, seperti BAN-PT, Kopertis, dan PSP (Pusat Statistik Pendidikan) Balitbang. mendukung kebutuhan pengiriman data (letak geografis), menjamin kemanan data di level jaringan dan basis data, mendukung integritas dan konsistensi data, serta membantu a dalam pengambilan keputusan. Pentingnya bentuk pemrosesan data dengan menggunakan teknologi IP Streaming yang mendukung penuh penerapan dari tujuan dan manfaat PDPT itu sendiri sebagai media integrasisasi bagi siklus manajemen yang terkait baik internal Ditjen DIKTI dan entitas lainnya. Untuk pengembangan integrasi PDPT, maka penelitian ini akan berfokus di Program Studi Informatika Universitas Indonesia Timur sebagai sample program studi dan Pangkalan Data Pendidikan Tinggi Universitas dengan sistem Replikasi Pangkalan Data Pendidikan Tinggi (PDPT) Terintegrasi Dengan Teknologi IP- Streaming", yang dapat membantu pihak-pihak yang terkait dalam manajemen PDPT khususnya Program Studi dan Universitas
Pemanfaatan Embedded Operting System Sebagai Media Penyimpanan Data Digital Sensor dalam Pengontrolan Suhu Ruangan
Data digital merupakan sinyal data dalam bentuk pulsa yang dapat mengalami perubahan yang tiba-tiba dan mempunyai besaran 0 dan 1. Sinyal digital hanya memiliki dua keadaan, yaitu 0 dan 1, sehingga tidak mudah terpengaruh oleh derau, tetapi transmisi dengan sinyal digital hanya mencapai jarak jangkaun pengiriman data yang relatif dekat. di tinjau dari pembahasn di atas ada kaitannya dengan sensor suhu yang diketahui mengambil data yang kecil di simpan di media penyimpanan atau server. dengan mengoptimalkan penyimpanan dan proses data tersebut maka tujuan dari penelitian ini bagaimana memanfaatkan Embedded Operting System sebagai komputer kocil yang dijadikann sebagai serveT dari dats sensor dan di proses sesuai kebutuhan tertentu khususnya dalam mengetahui suatu suhu ruangan.dengan diterapkannya data suhu terdistribusi melalui Protokol jaringan TCI IP sistem ini berfungsi untuk mengukur suhu ruangan sehingga pengontrolan suhu uangan lebih mudah dan pendingin ruangan bisa bekerja secara otomatis
Going Beyond Counting First Authors in Author Co-citation Analysis
The 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
“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
We 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
Dispelling the Myths Behind First-author Citation Counts
We 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
We 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
A Deep Learning Approach to Respiratory Disease Classification Using Lung Sound Visualization for Telemedicine Applications
This study presents the development of an intelligent system for the classification of respiratory diseases using lung sound visualizations and deep learning. A hybrid Convolutional Neural Network and Bidirectional Long Short-Term Memory (CNN–BiLSTM) model was designed to classify four conditions: asthma, bronchitis, tuberculosis, and normal (healthy). Lung sound recordings were converted into time-frequency representations (e.g., mel-spectrograms), enabling spatial-temporal feature extraction. The system achieved an overall classification accuracy of 99.5%, with F1-scores above 0.93 for all classes. The confusion matrix revealed minimal misclassifications, primarily between asthma and bronchitis. These results suggest that the proposed model can effectively support real-time, non-invasive respiratory screening, particularly in telemedicine environments. Future work includes clinical validation, integration of patient metadata, and adoption of transformer-based models to further enhance diagnostic performance
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