1,720,983 research outputs found
Implementation of FPGA-based artificial neural network for character recognition
No full textMaster of Science (Embedded System Design Engineering)Artificial Neural Networks (ANN) are non-linear applied math knowledge data modeling
tools, usually used model advanced relationships between inputs and outputs or to seek out patterns in data. A generic hardware primarily based ANN is planned and executed
using VHDL coding. This project may be seen as a place to begin for learning ANN. It
explores in approach a hardware-based application of ANN employs FPGA. The sixteen
toggle switches are given as input while the end product is exhibited on the LCD display.
This classifier is trained to identify letters on a 4x4 binary grid filled by a user through 16
toggle switches. The most probable class suggested by the ANN is displayed on an LCD
screen. To demonstrate the practicality of FPGA execute of ANN, the ANN trained to
acknowledge twenty English and nine Arabic character patterns on a 4x4 grid. In structural
of ANN, the used of three-layer is implemented entirely with 32-bit single exactitude
floating purpose arithmetic to ensure flexibility and accuracy for its wide selection of
applications. The resulting design file is programmed into the Altera Cyclone II FPGA on
the Altera DE2 development and education board. The design also includes a training
supervisor that trains the ANN recognized the total of 29 English and Arabic alphabet
predefined characters. The result is promising as the ANN is able to recognize all
characters defined to training characters patterns. Each alphabet is tested in 20 English
alphabet and 9 Arabic alphabet, after implementation, are done and performance issues of
the design are analyzed. The output gives good results, and finally this project shows the
flexibility and also the endless chance of hardware primarily based implementation of
ANN , the achievement of recognition rate for alphabet English and Arabic character are
76.92% and 32.14% respectively
Implementation of FPGA-based artificial neural network for character recognition
Get PDFArtificial Neural Networks (ANN) are non-linear applied math knowledge data modeling
tools, usually used model advanced relationships between inputs and outputs or to seek out patterns in data. A generic hardware primarily based ANN is planned and executed using VHDL coding. This project may be seen as a place to begin for learning ANN. It explores in approach a hardware-based application of ANN employs FPGA. The sixteen
toggle switches are given as input while the end product is exhibited on the LCD display.
This classifier is trained to identify letters on a 4x4 binary grid filled by a user through 16 toggle switches. The most probable class suggested by the ANN is displayed on an LCD screen. To demonstrate the practicality of FPGA execute of ANN, the ANN trained to
acknowledge twenty English and nine Arabic character patterns on a 4x4 grid. In structural of ANN, the used of three-layer is implemented entirely with 32-bit single exactitude floating purpose arithmetic to ensure flexibility and accuracy for its wide selection of applications. The resulting design file is programmed into the Altera Cyclone II FPGA on the Altera DE2 development and education board. The design also includes a training supervisor that trains the ANN recognized the total of 29 English and Arabic alphabet predefined characters. The result is promising as the ANN is able to recognize all
characters defined to training characters patterns. Each alphabet is tested in 20 English
alphabet and 9 Arabic alphabet, after implementation, are done and performance issues of
the design are analyzed. The output gives good results, and finally this project shows the
flexibility and also the endless chance of hardware primarily based implementation of
ANN , the achievement of recognition rate for alphabet English and Arabic character are
76.92% and 32.14% respectively
Inventory Control Management System
Get PDFThis project is aimed at developing an inventory control management system to allow the operator controlling and updating the flow of inventory in any organization. This
system is developed by using software Visual Basic version 6.0 integated with Microsoft Access 2000 and Seagate Crystal Report version 6.0. The Crystal Seagate Report is chosen because it is easy to developed and also its format more systematic compared to other report Format. Overall the developed system is increase the user's confidence because it is easy to used. Further works such as to upload the system to the Internet could be performed to improve the performance of the system
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
A New Perceptual Mapping Model Using Lifting Wavelet Transform
Get PDFPerceptual mappingapproaches have been widely used in visual information processing in multimedia and internet of things (IOT) applications. Accumulative Lifting Difference (ALD) is proposed in this paper as texture mapping model based on low-complexity lifting wavelet transform, and combined with luminance masking for creating an efficient perceptual mapping model to estimate Just Noticeable Distortion (JND) in digital images. In addition to low complexity operations, experiments results show that the proposed modelcan tolerate much more JND noise than models proposed befor
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
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