Journal of Computer Sciences and Applications

Rules and laws of Boolean algebra are very essential for the simplification of a long and complex logic equation. Applying the Boolean algebra basic concept, such a kind of logic equation could be simplified in a more simple and efficient form.Mainly, the standard rules of Boolean algebra are given in operator ‘+’ and ‘x’, based on the AND and OR logic gates equations. For some logic designs, it is commonly that logic problems are writtenin terms of XOR format.This paper tries to conduct something different. It will analyze, describe, and derive Boolean algebra rules related to logic equations using exclusive-or (XOR) logic gate.

Journal of Computer Sciences and Applications. 2013, 1(1), 14-16. DOI: 10.12691/jcsa-1-1-3
Pub. Date: March 07, 2013

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Developing Pervasive and Adaptive Applications with MAADE

by Enrico Franchi, Agostino Poggi and Michele Tomaiuolo

Original Research

Pervasive computing is one of the most active research fields because it promises the creation of environments where computing and communication devices are effectively integrated with users so that applications can provide largely invisible support for tasks performed by users. This paper presents an environment for software development, called MAADE (Multi Adaptive Agent Development Environment), and aimed at the implementation of multi-agent systems for pervasive and adaptive applications using both: (i) agents and multi-agent systems properties and (ii) composition filters for driving and dynamically adapting the behaviour of the system. MAADE allows the realization of both intentional and reactive agents, which live in an environment constituted by passive objects exposing their features in the form of available services. Thanks to its modular nature, the framework is proving particularly effective for allowing graduate students to experiment with different models and protocols used in Distributed Systems. Moreover, it is being used for the realization of prototypal applications, including an ubiquitous social networking platform, with dynamical location and proximity groups.

Journal of Computer Sciences and Applications. 2013, 1(1), 5-13. DOI: 10.12691/jcsa-1-1-2
Pub. Date: March 07, 2013

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Real-Time Object Tracking by CUDA-accelerated Neural Network

by Mikhail S. Tarkov and Sergey V. Dubynin

Original Research

An algorithm is proposed for tracking objects in real time. The algorithm is based on neural network implemented on GPU. Investigation and parameter optimization of the algorithm are realized. Tracking process has accelerated by 10 times and the training process has accelerated by 2 times versus to the sequential algorithm version. The maximum resolution of the frame for real-time tracking and the optimum frame sampling from a movie are calculated.

Journal of Computer Sciences and Applications. 2013, 1(1), 1-4. DOI: 10.12691/jcsa-1-1-1
Pub. Date: March 07, 2013

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21575 Views7414 Downloads33 Likes1 Citations