1,720,953 research outputs found
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
Path Tracking Fixed-wing Unmanned Aerial Vehicle Menggunakan Model Predictive Control
No full textDalam beberapa tahun terakhir, penggunaan Unmanned Aerial Vehicle (UAV) atau drone semakin meningkat, baik untuk keperluan komersial, pribadi, maupun militer. Salah satu tantangan utama dalam pengoperasian UAV adalah memastikan navigasi yang efisien dan aman di lingkungan yang kompleks. Penelitian ini berfokus pada pengembangan strategi kontrol path tracking untuk fixed-wing UAV menggunakan Model Predictive Control (MPC). Model Predictive Control (MPC) adalah teknik kontrol canggih yang memprediksi perilaku masa depan sistem dan mengoptimalkan tindakan kontrol berdasarkan solusi dari masalah optimasi pada setiap langkah waktu. Dalam tugas akhir ini, MPC digunakan untuk mengontrol UAV agar dapat mengikuti jalur yang telah ditentukan dengan akurat, dan mencapai tujuan yang diinginkan. Hasil simulasi menunjukkan bahwa pendekatan MPC mampu meningkatkan akurasi lintasan dan efisiensi komputasi dibandingkan dengan metode kontrol tradisional seperti Proportional Integral Derivative (PID). Implementasi MPC pada fixed-wing UAV menunjukkan kinerja yang lebih baik dalam menangani dinamika UAV serta kendala operasional. Tugas akhir ini diharapkan dapat memberikan kontribusi signifikan dalam pengembangan sistem kontrol UAV, khususnya dalam aplikasi path tracking yang membutuhkan ketepatan dan keandalan tinggi. Dengan demikian, teknologi UAV dapat lebih optimal digunakan untuk berbagai keperluan yang membutuhkan navigasi yang presisi dan efisien.
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In recent years, the use of Unmanned Aerial Vehicles (UAVs) or drones has increased, whether for commercial, personal or military purposes. One of the main challenges in UAV operation is ensuring efficient and safe navigation in complex environments. This research focuses on developing a path tracking control strategy for fixed-wing UAVs using Model Predictive Control (MPC). Model Predictive Control (MPC) is an advanced control technique that predicts the future behavior of the system and optimizes control actions based on the solution of the optimization problem at each time step. In this final project, MPC is used to control the UAV to follow a predetermined path accurately and achieve the desired goal. Simulation results show that the MPC approach is able to improve path accuracy and computational efficiency compared to traditional control methods such as Proportional Integral Derivative (PID). The implementation of MPC on a fixed-wing UAV shows better performance in handling the dynamics of the UAV as well as operational constraints. This final project is expected to contribute significantly to the development of UAV control systems, especially in path tracking applications that require high accuracy and reliability. Thus, UAV technology can be more optimally used for various purposes that require precise and efficient navigation
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
Some Enhancement of Aerial and Terrestrial Photo for 3D Modeling of Texture-Less Object Surface
No full textToday, the combination of Aerial and Terrestrial photos has been more implemented for 3D modelling purposes. This 3D modelling technique getting popular because it is supporting with photogrammetry structure from motion algorithm (SFM). The SFM algorithm makes automation in the processing step. One of the main problems that will occur in the automation of 3D modelling objects with the SFM algorithm is whether objects have texture-less surfaces. The purpose of this research is to evaluate some enhancement processes that were applied before running the SFM algorithm for 3D modelling. Some pre-processing enhancements are a combination Contrast-Limited Adaptive Histogram Equalization (CLAHE) from Fiji-ImageJ and JPEG to RAW Ai artefact algorithm from Topaz Labs. Two sample objects are tested which are a heritage object that has a texture-less wall surface object and a paddy field that has a similar object pattern. Some aerial and terrestrial photos have been enhanced before processing in 3D modelling. The result shows that applying preprocessing enhancement can improve the completeness of the object, especially in texture-less wall surface area. Pre-processing enhancement improves the geometric accuracy and number of vertex and surfaces also. In the future, the combination of the Jpeg to Raw Ai and the CLAHE enhancement should be explored for the best 3D model solution. © 2023, The Author(s), under exclusive license to Springer Nature Switzerland AG
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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