The European eSafety initiative aims to improve the safety and efficiency of road transport. The main element of eSafety is the pan European eCall project – an in-vehicle system that informs about road collisions or ...
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This research deals with complementary neural networks (CMTNN) for the regression problem. Complementary neural networks consist of a pair of neural networks called truth neural network and falsity neural network, whi...
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Although the end of Moore's law has been predicted for many years, the capacity to store information in information and communication technology is still progressing in ways we could not imagine. Hence, the museum...
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Individuals and PCs(personal computers)can be recognized using CAPTCHAs(Completely Automated Public Turing test to distinguish computers and Humans)which are mechanized for distinguishing ***,CAPTCHAs are intended to ...
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Individuals and PCs(personal computers)can be recognized using CAPTCHAs(Completely Automated Public Turing test to distinguish computers and Humans)which are mechanized for distinguishing ***,CAPTCHAs are intended to be solved by the people,but are unsolvable by the *** a result,using Convolutional Neural Networks(CNNs)these tests can similarly be ***,the CNNs quality depends majorly on:the size of preparation set and the information that the classifier is found out ***,it is almost unmanageable to handle issue with CNNs.A new method of detecting CAPTCHA has been proposed,which simultaneously solves the challenges like preprocessing of images,proper segmentation of CAPTCHA using strokes,and the data *** hyper parameters such as:Recall,Precision,Accuracy,Execution time,F-Measure(H-mean)and Error Rate are used for computation and *** preprocessing,image enhancement and binarization are performed based on the stroke region of the *** key points of these areas are based on the SURF *** exploratory outcomes show that the model has a decent acknowledgment impact on CAPTCHA with foundation commotion and character grip bending.
The article is devoted to the selection of parameter values of the evolutionary algorithm for creating new images. Based on simple geometric figures, an impression of them is created using the classical approach of th...
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RDES cryptosystem is an n-round DES in which an probabilistic swapping is added onto the right half of the input in each round. It is more effective than a simple increase of DES rounds for a countermeasure against di...
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RDES cryptosystem is an n-round DES in which an probabilistic swapping is added onto the right half of the input in each round. It is more effective than a simple increase of DES rounds for a countermeasure against differential attack. In this paper, we show that the RDES is also effective against linear cryptanalysis. We applied Matsui's search algorithm to find the best expression for RDES-1 and RDES-2. The results are as follows: (a) The 16-round RDES-1 is approximately as strong as a 22-round DES, and the 16-round RDES-2 is approximately as strong as a 29-round DES. (b) Linear cryptanalysis for a 16-round RDES-1 and a 16-round RDES-2 requires more than 2(64) known-plaintexts.
Automatic license plate recognition system plays an essential role in real life applications, especially those related to security and traffic managements. It essentially extracts and recognizes number plate informati...
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The article considers an investment strategy based on observing the behavior of a certain organized group of investors belonging to the *** platform. This platform provides data on the distribution of open positions b...
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This study assesses QoE of H.265/HEVC video and audio IP transmission over MMT with the two AL-FEC coding methods. We employ Reed-Solomon and Structured Low Density Parity Check. We perform multidimensional QoE assess...
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This paper presents the design of algorithm solution for selecting a planting lining technique. The three techniques with different planting lining direction lead to different number of trees, therefore the technique ...
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