No abstract

This paper presents a new hybrid image fusion scheme that combines features of pixel and region based fusion, to be integrated in a surveillance system. In such systems, objects can be extracted from the different set of images due to background availability, and transferred to the new composite image with no additional processing usually imposed by other fusion approaches. The background information is then fused in a multi-resolution pixel-based fashion using gradient-based rules to yield a more reliable feature selection. According to Piella and Petrovic quantitative evaluation metrics, the proposed scheme exhibits a superior performance compared to existing fusion algorithms.

No abstract

Nowadays, it is urgent to manage the power consumption in cellular networks due to the increased amounts of CO2. As a result, this increased amount of CO2 released leads to severe threats for global warming and to an increase in the energy cost in the base stations. This problem arouse as soon as the evolution of mobile networks emerged especially in the last decades. As a result, we have witnessed a massive growth in the number of base stations all over the world in order to serve these highly increasing demands on cellular traffic. Hence, mobile operators need to meet these new demands in wireless cellular networks, while they have to maintain reasonable costs to keep high benefits and maintain high quality of service at in addition to decreasing energy consumption. This is the concept of Green Communication. In our paper, we propose a new solution that will help in reducing energy consumption. The solution is a centralized algorithm applied in a heterogeneous Long Term Evolution (LTE) network using Macro and Micro base stations, applied with a new Control Server that will be implemented using a newly introduced server in evolved cellular networks.

No abstract