Deployment of smart cell's importance in the LTE system provides support in bandwidth requirement and consumption of power in the network. The system proposes scheduling algorithm. for improvement in the throughpu...
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ISBN:
(纸本)9781728166445
Deployment of smart cell's importance in the LTE system provides support in bandwidth requirement and consumption of power in the network. The system proposes scheduling algorithm. for improvement in the throughput of the system. It uses the Hungarian algorithm.for optimization and for packet success rate improvement. The main objective is to improve the throughput of the system by using the optimization scheduling method. The new planning calculation will bring about a worthy throughput and gives some reasonableness between clients. The result shows the improvement in throughput distribution and packet success rate (PSR) by the use of Hungarian optimization. All the simulations have been done in the MATLAB software.
A new systematic and efficient algorithm.to obtain the ten complex constants of piezoelectric materials belonging to the 6 mm symmetry class was developed. A finite element method routine was implemented in Mat...
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A new systematic and efficient algorithm.to obtain the ten complex constants of piezoelectric materials belonging to the 6 mm symmetry class was developed. A finite element method routine was implemented in Matlab using eight-node axisymmetric elements. The algorithm.raises the electrical conductance and resistance curves and calculates the quadratic difference between the experimental and numerical curves. Finally, to minimize the difference, an optimization algorithm.based on the “Method of Moving Asymptotes” (MMA) is used. The algorithm.is able to adjust the curves over a wide frequency range obtaining the real and imaginary parts of the material properties simultaneously.
There is distortion phenomenon in image emerge, transmit and *** restoration is a process which recover bad image into original *** we use genetic algorithm.for image restoration,there will be premature *** paper disc...
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There is distortion phenomenon in image emerge, transmit and *** restoration is a process which recover bad image into original *** we use genetic algorithm.for image restoration,there will be premature *** paper discusses a new algorithm.for image restoration based on combination of parallel genetic algorithm.with Hopfield neural network,take the advantage of parallel GA parameter selection and then use Hopfield NN to train sample *** demonstrate that this optimization method in this paper will overcome premature problem and run more rapidly,as a result obtain a better recovery image.
The previous particle swarm optimizers lack direct mechanism to prevent particles beyond predefined search space, which results in invalid solutions in some special cases. A momentum factor is introduced into the orig...
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The previous particle swarm optimizers lack direct mechanism to prevent particles beyond predefined search space, which results in invalid solutions in some special cases. A momentum factor is introduced into the original particle swarm optimizer to resolve this problem. Furthermore, in order to accelerate convergence, a new strategy about updating velocities is given. The resulting approach is mromentum-PSO which guarantees that particles are never beyond predefined search space without checking boundary in every iteration. In addition, linearly decreasing wight PSO （LDW-PSO） equipped with a boundary checking strategy is also discussed, which is denoted as LDWBC-PSO. LDW-PSO, LDWBC-PSO and momentum-PSO are compared in optimization on five test functions. The experimental results show that in some special cases LDW-PSO finds invalid solutions and LDWBC-PSO has poor performance, while momentum-PSO not only exhibits good performance but also reduces computational cost for updating velocities.
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