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We present an application for authenticating users with mouse movements. We extract the features from nine paths between seven squares displayed consecutively on the screen. Although the paths among the squares are fixed, user can not get familiar to the paths by the selection algorithm of next path. This prevents similar results from different users. We(More)
Collective Communication Algorithms for 2D torus networks have been investigated quite extensively in the literature and two broad approaches, namely direct methods and indirect (message combining) methods are recognized in the field. While direct methods minimize the volume of data, the indirect methods reduce the number of message start-ups. Consequently,(More)
In this study, we present the visualization and clustering capabilities of self-organizing maps (SOM) for analyzing high-dimensional data. SOM were used because they implement the orderly mapping of a high-dimensional distribution onto a regular low-dimensional grid and are thereby able to convert complex nonlinear statistical relationships between(More)
In this study, a 35% phosphoric acid gel (3M Scotchbond etchant), a nonrinse etchant (NRC), and two EDTA-containing conditioners (RC-Prep and File-Eze) were tested in vitro for blocking nerve conductance evoked in the rat sciatic nerve after local application. The phosphoric acid gel and NRC completely and irreversibly inhibited conductance. On the other(More)
New matrix multiplication algorithms are proposed for massively parallel supercomputers with 2D/3D, all-port torus interconnection networks. The proposed algorithms are based on the traditional row-by-column multiplication matrix product model and employ a special routing pattern for better scalability. They compare favorably to the variants of Cannon's and(More)
Nowadays, the use of Artificial Neural Networks shows continuity in many different applications. In particular, the use of deep learning type neural networks, seen as impractical previously, is increasing by processing power growth. Software Defined Radio (SDR) is another hot topic called as Digital Radio concept. With a growing interest in the environment(More)
In this paper, we present a model for Turkish speech recognition. The model is syllable-based, where the recognition is performed through syllables as speech recognition units. The main goal of the model is to recognize as much as possible of a given continuous speech by identifying only a small set of syllables in the language. For that purpose, only the(More)
A new matrix multiplication algorithm is proposed for massively parallel supercomputers with 2D/3D, all-port torus interconnection networks. The proposed algorithm is based on the traditional row-by-column multiplication matrix product model and employs a special routing pattern for better scalability. It compares favorably to the variants of Cannon's and(More)
Forward and back substitution algorithms are widely used for solving linear systems of equations after performing LU decomposition on the coefficient matrix. They are also essential in the implementation of high performance preconditioners which improve the convergence properties of the various iterative methods. In this paper, we describe an efficient(More)
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