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In response to the current requirements of energy efficiency and high performance in computing systems, architects have turned towards customization. General purpose computing however remains a challenge as processors must adhere to a variety of applications, on-chip resources, and increased performance without solely relying on transistor scaling and additional cache levels. For this reason, the...
RFID (Radio frequency Identification) has become an efficient way to identify, track and/or trace objects and people. Its importance has motivated scientists and researchers to examine the challenges that are slowing its expeditious deployment in various applications. RFID collision is a major challenge imposed by the wireless links shared among a reader and the many tags in the interrogation zone...
Long Term Evolution (LTE) cellular networks are currently implemented in many countries at very high speed. Since manual cell planning is a time consuming process and subject to errors and inefficiency, there is a need for automated approaches to optimize coverage, capacity and quality of cellular networks in less amount of the time. This paper studies the application of branch and bound algorithms...
There exist some variations of the particle swarm optimization - simulated annealing optimization technique (PSOSA) hybrid algorithm for solving the PID control design problem, however most of these algorithms use the simulated annealing as a tool to escape local minimums that the PSO algorithm may get trapped in and also these algorithms initialize the particles within the solution space randomly...
A proportional-integral-derivative (PID) controller is a generic feedback controller widely used in industrial control systems, process control, motor drive, and instrumentation. Despite the popularity, the tuning aspect of PID coefficients is a challenge for researchers and plant operators. In this paper Particle Swarm Optimization Algorithm is used to design the optimum PID controller parameters...
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