1,720,954 research outputs found
Sistem Pengontrolan Kecepatan Putar Motor AC dan Monitoring Suhu Pada Mesin Es Krim Putar Berbasis IoT
Full text linkIce cream is a product made from a combination of freezing and agitation processes in ingredients consisting of milk, sweetener, stabilizer, and flavor enhancer. According to the Indonesian National Standard, ice cream is a type of semi-solid food made by freezing ice cream flour or from a mixture of milk, vegetable and sugar. Rotary ice cream sellers in Indonesia, in their business, experience many obstacles during manufacture, one of which takes a long time. because the manufacture of ice cream is generally made by rotating it by hand which takes 90 minutes, it is made by rotating the ice cream tube so that the dough becomes ice crystal grains. The AC motor rotational speed control system and temperature monitoring on IOT-based ice cream machines aims to help sellers/users in making ice cream more efficient so that sellers can still carry out other activities at the same time. By calculating the demand capacity for making ice cream, the result is that making 9 liters takes 15 minutes
Estimasi State Of Charge (Soc) Pada Baterai Lithium Ion Menggunakan Long Short-Term Memory (LSTM) Neural Network
Full text linkLithium-ion batteries have become one of the top choices for efficient and environmentally friendly mobility in today's era. Batteries play an important role in our digital lifestyles, from smartphones to electric cars. The use of this battery is inseparable from the challenge of estimating the State of Charge (SOC), which is a key parameter to monitor the availability of energy remaining in the battery. Therefore, an accurate SOC Estimation method is needed, which is important for efficient energy management and safe battery use. The Long Short-Term Memory (LSTM) model was chosen because of its ability to handle complex time series data and nonlier patterns in battery performance. This study provides the application of LSTM for SoC estimation and shows that LSTM is superior to the Feed Neural Network (FNN) method as evidenced by the simulation results that show that the LSTM model produces an RMSE of 4.92%, while the FNN model produces an RMSE of 7.82. From all the tests that have been carried out, the best RMSE value of 3.53% was obtained at a temperature of 25°C epoch 100.Lithium-ion batteries have become one of the primary choices for efficient and environmentally friendly mobility in today's era. These batteries play a crucial role in our digital lifestyle, from smartphones to electric cars. The use of these batteries involves challenges in estimating the State of Charge (SOC), which is a key parameter for monitoring the remaining energy availability in the battery. Therefore, an accurate SOC estimation method is essential for efficient energy management and battery safety. The Long Short Term Memory (LSTM) model was chosen for its ability to handle complex time-series data and nonlinear patterns in battery performance. This research aims to provide a solution for estimating the SOC of lithium-ion batteries. In this study, an RMSE value of 3.53% was achieved at a temperature of 25°C.Baterai lithium-ion telah menjadi salah satu pilihan utama untuk mobilitas yang efisien dan ramah lingkungan di era saat ini. Baterai memainkan peran penting dalam gaya hidup digital kita, mulai dari smartphone hingga mobil listrik. Penggunaan baterai ini tidak terlepas dari tantangan dalam mengestimasi State of Charge (SOC), yang merupakan parameter kunci untuk memantau ketersediaan energi yang tersisa dalam baterai. Oleh karena itu diperlukan sebuah metode Estimasi SOC yang akurat penting untuk manajemen energi yang efisien dan keamanan penggunaan baterai. Model Long Short Term Memory (LSTM) dipilih karena kemampuannya menangani data deret waktu yang kompleks dan pola nonlier dalam performa baterai. Penelitian ini diharapkan dapat menjadi salah satu solusi dalam mengestimasi SOC baterai lithium ion. Pada penelitian ini menghasilkan nilai RMSE sebesar 3,53% pada temperature 25°C
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
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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