1,720,954 research outputs found
Sistem Proteksi Rele Jarak pada Transmisi Gardu Induk Banyuwangi - Paiton berbasis Neural Network
No full textMenentukan lokasi gangguan merupakan hal yang penting dalam sistem transmisi energi listrik, sehingga gangguan dapat segera dihilangkan. Untuk itu lokasi gangguan sangat penting untuk dapat diketahui atau diperkirakan dengan akurasi yang cukup tinggi, sehingga dapat memungkinkan menghemat uang dan waktu untuk melakukan pemeriksaan dan perbaikan, serta untuk memberikan layanan yang lebih baik karena pemulihan listrik dapat dilakukan lebih cepat. Dalam hal ini dilakukan deteksi dalam menentukan akan terjadinya gangguan pada sistem transmisi gardu induk 150 kV. Pada penelitian ini, nilai yang digunakan adalah nilai tegangan dan arus tiap fasa sebagai pertimbangan dalam pembentukan deteksi gangguan. Untuk penelitian ini akan digunakan metode kecerdasan buatan Neural Network atau juga disebut dengan jaringan syaraf tiruan yang mengadaptasi dari jaringan syaraf biologi manusia. Sehingga diharapkan gangguan yang akan dialami dapat terlebih dideteksi lokasi keberadaannya dan jenisnya sehingga keandalan dalam penyedia layanan listrik akan menjadi lebih baik.
Adapun tujuan dari penelitian ini yaitu untuk merancang sistem proteksi rele jarak antar gardu induk berdasarkan gangguan hubung singkatnya berbasis neural network dan merancang sistem proteksi rele jarak antar gardu induk berdasarkan lokasi gangguan berbasis neural network. Alat dan bahan yang digunakan pada penilitian ini adalah sebuah laptop dan aplikasi Matlab R2009a dan R2015a. Data yang akan digunakan pada pelatihan penelitian kali ini ialah data pada tahun 2014 sampai dengan tahun 2017, dimana dari data-data tersebut akan dibagi menjadi data input dan data target pelatihan neural network. Data tersebut disusun menjadi 6 jenis data input dengan 10 sampel dan 10 data target pada kedua percobaan. Dari hasil data yang dilatih maka dapat diuji dengan tampilan GUI yang sudah dibuat dan juga membuat simulasi menggunakan simulink Matlab
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
Load Forecasting in the Context of Global Covid-19 Vaccination Using Facebook Prophet
Full text linkForecasting the electrical energy load is a very important initial stage in the operation of the electricity system so that the system works reliably, stably, and economically. The load forecasting process is carried out in the range of hours to years. This study focuses on short-term load forecasting (STLF) where in general the effects of weather conditions and human activities are very influential. In this study, we will study further the effects of the Covid-19 pandemic, namely the number of vaccines and the level of community mobility on changes in electrical loads. The study of the effect of the vaccine is the new point of this research. In electrical load forecasting, the revised Facebook Prophet method will be used. This revision is intended so that the effects of the pandemic can be included in the model. To test the effectiveness of the proposed model, a case study of the Pennsylvania electrical load data was carried out. In 2021 with the addition of the vaccination variable, the MAPE value is 15.26%. The amount of data used could possibly affect the forecasting process and MAPE results. So, the MAPE value is quite good when compared to other studies
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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