1,720,957 research outputs found
Merancang Sistem Kontrol Pintu Air Berbasis Arduino dengan Fitur Self-Check Sensor
The use of Arduino-Based floodgates aims to address the issue of flooding. The goal of this research was to create a system that could monitor water levels and control floodgatesUltrasonic sensor was used to measure water level, as the water level becomes the indicator to open and close the floodgates. The ultrasonic sensor is mounted on the dam and measures the distance between the water’s surface and the sensor transmitter. The results of the measurement of the water level are used to control the floodgates. Sensor measurement results are not always valid, given the age of the sensor and the terrain around the dam is quite challenging. The self-check sensor feature is introduced in this study as a way to overcome detection faults in the system, where ultrasonic sensors can perform self-monitoring by relying solely on their neighbours. In general, the process is carried out in four stages, starting from the stage of reading the sensor, the stage transmitting and receiving data from the Arduino, the stage of detecting sensor’s value, the stage of displaying the sensor values. At the stage of displaying the sensor value, there are four water level conditions, normal, waspada, siaga and bahaya. According to the test results, incorporating self-check sensors into the system enables for more efficient Arduino-based sluice control systems, as well as the possibility of detecting malfunctions caused by sensor damagePenggunaan pintu air berbasis Arduino merupakan salah satu upaya untuk mengatasi masalah luapan air atau banjir. Penelitian ini merancang sebuah sistem yang mampu mendeteksi ketinggian air dan mengontrol pintu air. Sensor yang digunakan adalah sensor ultrasonik, sebagai indicator yang digunakan untuk mengukur ketinggian air. Sensor ultrasonik diletakkan di atas bendungan, kemudian sensor tersebut akan mengukur jarak permukaan air dengan transmitter sensor. Hasil pengukuran ketinggian air tersebut dievaluasi oleh fitur self-check sensor. Hasil pengukuran sensor tidak selamanya valid, mengingat usia sensor dan medan di sekitar bendungan yang cukup menantang. Penelitian ini memperkenalkan fitur self-check sensor sebagai solusi untuk mengatasi kesalahan deteksi pada sistem. Dimana sensor dapat melakukan swa-monitoring dengan hanya mengandalkan sensor ultrasonik di sekitarnya. Secara umum, proses yang dilakukan ada empat tahap, dimulai dari tahapan pembacaan sensor, tahap pengiriman dan penerimaan data dari Arduino melalui transmitter, tahap tampilan nilai sensor dan tahap buka tutup pintu air. Pada tahap menampilkan nilai sensor terdapat tiga kondisi ketinggian air, normal, waspada, awas dan bahaya. Menurut hasil pengujian, menggabungkan self-check sensor ke dalam sistem memungkinkan sistem monitoring pintu air berbasis Arduino yang lebih efisien, serta kemungkinan mendeteksi malfungsi yang disebabkan oleh kerusakan sensor
ANALISA PENGARUH UKURAN BUFFER UNTUK SISTEM DUPLIKASI FILE BERSKALA BESAR PADA TEMPORARY FILE SYSTEM
Dalam penelitian mengidentifikasi pengaruh ukuran buffer dalam proses duplikasi file dengan ukuran file 1 gigabyte (GB) dan menggunakan sistem file tmpfs. Baseline code menggunakan operasi tingkat-rendah (low-level operation) seperti open(), creat(), read(), dan write(). Penelitian ini bertujuan untuk mengoptimasi proses duplikasi file menggunakan tiga metode. Pada tahap awal, penulis mengidenfikasi beberapa isu yang terdapat pada operasi read/write pada sistem file linux. Terdapat tiga metode yang akan diinvestgasi dalam penelitian ini, pertama, meningkatkan ukuran buffer, kedua membandingkan fungsi creat() dan open(), ketiga menganalisa fungsi O_Direct() pada tmpfs. Untuk duplikasi file, ukuran buffer menjadi hambatan kinerja pada proses sistem file ini. Karena jumlah read() tergantung pada ukuran buffer, sehingga operasi baca-tulis terus beralih antara mode pengguna dan mode kernel
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
Optimizing K-Means Algorithm Using the Purity Method for Clustering Oil Palm Producing Regions
The K-Means algorithm is a fundamental tool in machine learning, widely utilized for data clustering tasks. This research aims to enhance the performance of the K-Means algorithm by integrating the Purity method, with a specific focus on clustering regions renowned for oil palm production in North Aceh. Oil palm cultivation is a vital agricultural sector in North Aceh, contributing significantly to the local economy and employment. This study examines two clustering techniques: the conventional K-Means algorithm and an optimized version, Purity K-Means. Integrating the Purity method enhances the efficiency of K-Means by reducing the number of required convergence iterations. The data used for clustering analysis is sourced from the Department of Agriculture and Food in North Aceh Regency and pertains to oil palm production in 2023. The findings indicate that the Purity K-Means approach notably reduces the iteration count and improves cluster quality. The average Davies-Bouldin Index (DBI) for standard K-Means is 0.45, whereas the Purity K-Means method lowers it to 0.30. Furthermore, applying the Purity method reduced the number of K-Means iterations from 15 to just 3. These results highlight an enhancement in clustering performance and overall efficiency
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