1,720,977 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
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
Detección de hidrógeno en aire por medio de redes neuronales y sensores semiconductores
No full textTesis (licenciatura en ingeniería eléctrica)--Universidad de Costa Rica. Facultad de Ingeniería. Escuela de Ingeniería Eléctrica, 2023En el presente trabajo se implementan y se prueban modelos de redes neuronales que son capaces de detectar con buena precisión la presencia de hidrógeno en aire, a partir de la respuesta de un sensor de hidrógeno, dentro de un sistema de pruebas creado en el laboratorio de ingeniería eléctrica de la sede de Guanacaste de la UCR. Este sistema posee una cámara de gas donde el sensor semiconductor MQ-8 se expone a varias concentraciones de hidrógeno en aire; el hidrógeno se genera utilizando reacciones químicas en el laboratorio y se manipula utilizando una serie de válvulas de paso y jeringas; los datos que se obtienen del sensor se reciben por medio de una interfase digital para luego ser almacenados en una computadora, y seguidamente ser utilizados como entrada en un archivo de código en Python. Las redes se entrenan utilizando los datos producidos por los investigadores Krivetskiy et al. (2018); Efitorov et al. (2020); Krivetskiy et al. (2021). Estos datos fueron crearon en un laboratorio utilizando equipo y sensores de uso profesional; los datos de entrenamiento recompilados son agregados utilizando código para luego ser utilizados por las redes neuronales propuestas. Se utiliza código en Python para crear las redes neuronales haciendo uso de las librerías de Keras, y se utilizan varios pre-procesamientos previos para los datos. Inicialmente se realiza una normalización para todos los modelos y luego se incorporan pre-procesamientos como PCA, PCF y DWT, los modelos también se dividen según el tipo de prueba a realizar, en modelos binarios y modelos multiclase. Como método de búsqueda de los mejores parámetros de la red pulmonal, se utiliza la librería KerasTuner, que obtiene las mejores precisiones de entrenamiento para los diferentes modelos, al modificar los parámetros de la red neuronal de forma dinámica Como método de validación, se utiliza un porcentaje del total de los datos de investigaciones pasadas, para verificar...
Inglés: In this work, various models of neural networks are impemented and tested, these are capable of detecting with good precision the presence of hydrogen in air, from the response of a hydrogen sensor, within a system created in a laboratory of electric engineering at UCR in Guanacaste. This system has a gas chamber where the MQ-8 semiconductor sensor is exposed to various concentrations of hydrogen in air, hydrogen is generated using chemical reactions in the laboratory and is manipulated using a series of stop valves and syringes. The data obtained from the sensor is received through a digital interface and then stored in a computer, so then it can be used as an input in a Python code file. The networks are trained using the data previously generated by the researchers Krivetskiy et al. (2018); Efitorov et al. (2020); Krivetskiy et al. (2021). This data was created in a laboratory using professional equipment and sensors, the compiled training data is rearranged by the code and then used as an input for the proposed neural networks. Python code is utilized to create the neural networks by means of the Keras libraries, and some pre-processing of the data is conducted as well. Initially, a normalization is performed for all the models and pre-processing methods such as PCA, PCF and DWT are also incorporated. Futhermore, the models are divided according to the type of test to be performed, they are splited into binary models and multiclass models. The Keras Tuner library is used as a search method to find the best parameters of the neural network, this process obtains the best training precision for the different models, which it’s accomplished by dynamically modifying the parameters of the neural networks. As a validation method, a percentage of the total data from past investigations is used to verify that the models can adequately adapt to new data, considering that this data has not yet seen by the neural network Finally, the best models are exposed...UCR::Docencia::Ingeniería::Facultad de Ingeniería::Escuela de Ingeniería Eléctric
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
Audio Source Separation Dataset
No full textAUDIO SOURCE SEPARATION DATASET.
This dataset has been constructed from audio excerpts taken from the Bach10 dataset by Duan et al. [1]. This database can be used in performance evaluation and results can be compared with the ones presented in my PhD thesis [2], Section 5.8.5, on pages 153-158, in Chapter 5. A percussive sequence from the Open Air Library [3], has also been used in these experiments.
[1] Z. Duan, B. Pardo, and C. Zhang, "Multiple fundamental frequency estimation by modeling spectral peaks and non-peak regions," IEEE Transactions on Audio, Speech and Language Processing, vol. 18, no. 8, pp. 2121-2133, 2010.
[2] Delgado Castro, A. "Iterative separation of note events from single-channel polyphonic recordings," Ph.D. University of York. 2019.
[3] https://www.york.ac.uk/electronic-engineering/research/communication-technologies/projects/open-acoustic-impulse-response-library/</p
Author-wise bibliometric analysis based on entropy.
No full textAuthor-wise bibliometric analysis based on entropy.</p
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