three artificial neural networks (ann) models; general regression neural network (grnn), redial basis function (rbf) and three layer multiple perceptron network were carried out to evaluate the prediction of the apparent metabolizable energy (ame) of wheat and corn from its chemical composition in broiler. input variables included: gross energy (ge), crude protein (cp), crude fiber (cf), ether ...

industrial energy consumption lies between 30% and 70% of the total energy consumed in selected countries. cement production is one of the most energy intensive industries all around the world. this paper deals with an energy audit analysis in a cement plant in iran. in all recent works, after performing an energy audit, different strategies are offered to reduce energy losses. generally, these...

ABSTRACT- Energy use patterns and the contribution of energy input vary among farming systems. The optimal use of improved farm machinery coupled with the optimal use of other recommended sources permit an increase in paddy yield up to potential levels. In order to determine the effect of production systems on energy use efficiency focusing on mechanization for paddy production in Khuzestan pro...

One of the main problems of Cooperative Spectrum Sensing (CSS) in cognitive radio networks is the high energy consumption. Energy is consumed while sensing the spectrum and reporting the results to the fusion centre. In this chapter, a novel partial CSS is proposed. The main concern is to reduce the energy consumption by limiting the number of participating users in CSS. Particularly, each user...

We consider the problem of energy-efficient acceleration of applications comprising multiple interdependent tasks forming a dependency tree, on a hypothetical CPU/GPU system where both a CPU and a GPU can be powered off when idle. Each task in the tree can be invoked on both a GPU or a CPU, but the performance may vary: some run faster on a GPU, others prefer a CPU, making the choice of the low...

In this paper, a prismatic joint biped robot trajectory planning method is proposed. The minimum consumed energy is used as a criterion for trajectory generation, by using a real number genetic algorithm as an optimization tool. The minimum torque change cost function and constant vertical position trajectories are used in order to compare the results and verify the effectiveness of this method...

Microprocessors represent a significant portion of the energy consumed in portable electronic devices. Dynamic Voltage Scaling (DVS) allows a device to reduce energy consumption by lowering its processor speed at run-time, allowing a corresponding reduction in processor voltage and energy. A voltage scheduler determines the appropriate operating voltage by analyzing application constraints and ...