1,720,955 research outputs found
Implementation of a Convolutional Neural Network Algorithm in Classifying Vegetable Freshness Based on Image
Get PDFThe purpose of this work is to apply CNN algorithm to a real problem
of vegetable freshness identification using image data. Quantitative
approach was used for this study and the data source was obtained from
Kaggle; it is referred to as Fresh and Stale Images of Fruits and
Vegetables with 2,604 images, four categories in total. The CNN model
architecture consisted of a basic organization of four successive
convolutional layers with associated max-pooling layers that aimed at
capturing hierarchical feature representations of the input images. This
model was trained using the Adam’s optimizer for 20 iterations with the
batch size of 32. Pre-processing of data included image augmentations
such as scaling, rotation, flipping which improved the performance of
the model. The assessment was done using Confusion Matrix approach
and the results show that the proposed system achieved an accuracy of
95%, with a precision of 94%, recall of 93% and F1-score of 93%. From
this it can be concluded that the CNN model proposed has achieved the
objective of distinguishing fresh and non-fresh vegetables with enough
precision to assist in the automation of quality control in agriculture.
The conclusion that can be drawn from this study is that AI especially
CNNs could be of big help in increasing accuracy and decreasing human
factors in the large scale production of food
Implementation of a Convolutional Neural Network Algorithm in Classifying Vegetable Freshness Based on Image
Get PDFThe purpose of this work is to apply CNN algorithm to a real problem of vegetable freshness identification using image data. Quantitative approach was used for this study and the data source was obtained from Kaggle; it is referred to as Fresh and Stale Images of Fruits and Vegetables with 2,604 images, four categories in total. The CNN model architecture consisted of a basic organization of four successive convolutional layers with associated max-pooling layers that aimed at capturing hierarchical feature representations of the input images. This model was trained using the Adam’s optimizer for 20 iterations with the batch size of 32. Pre-processing of data included image augmentations such as scaling, rotation, flipping which improved the performance of the model. The assessment was done using Confusion Matrix approach and the results show that the proposed system achieved an accuracy of 95%, with a precision of 94%, recall of 93% and F1-score of 93%. From this it can be concluded that the CNN model proposed has achieved the objective of distinguishing fresh and non-fresh vegetables with enough precision to assist in the automation of quality control in agriculture. The conclusion that can be drawn from this study is that AI especially CNNs could be of big help in increasing accuracy and decreasing human factors in the large scale production of food
Going Beyond Counting First Authors in Author Co-citation Analysis
Get PDFThe 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
Get PDF“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
Get PDFWe 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
Get PDFWe 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
Rancangan Aplikasi Layanan Aspirasi Masyarakat Berbasis Web : Pada SAMSAT Medan Utara
Get PDFMasyarakat pada umumnya pasti mempunyai suara yang ingin disampaikan pada pihak lain, tidak terkecuali pada SAMSAT Medan Utara. Namun kenyataannya, hingga saat ini masih banyak suara masyarakat yang tidak terucapkan dan tidak tersampaikan kepada pihak SAMSAT Medan Utara. Hal tersebut dikarenakan adanya batasan waktu dan sarana untuk menyampaikan suara tersebut. Suara yang dimaksud berupa aspirasi-aspirasi masyarakat, baik itu dalam segi positif maupun negatif, yang pastinya akan menjadi koreksi tersendiri bagi pihak SAMSAT Medan Utara agar bisa memaksimalkan progres kerjanya. Hal inilah yang menjadi latar belakang penulis untuk melakukan penelitian ini, dengan merancang aplikasi layanan aspirasi masyarakat berbasis web yang nantinya dapat digunakan di SAMSAT Medan Utara. Pembuatan rancangan aplikasi yang akan dibangun ini menggunakan Metode Waterfall Model dalam pengembangan sistemnya, adapun perangkat pendukung untuk merancang aplikasi ini yaitu PHP, UML, XAMPP, dan MYSQL. Hasil yang diharapkan dari perancangan aplikasi ini yaitu untuk membuat masyarakat dapat memberikan tanggapan berupa aspirasi kepada SAMSAT Medan Utara terkait kepuasan masyarakat terhadap pelayanan SAMSAT Medan Utara
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
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