Journal of Electrical Engineering and Computer Science (JEECS)—Open Access Journal

Abstract : Gears are the easiest and most broadly utilized parts in power transmission. It is required to work machines at different burden and speed. Rigging teeth can typically come up short when the heap is expanded past a farthest point. Apart from other metallic apparatuses composite materials give much improved mechanical properties, for example, better solidarity to weight proportion, hardness and henceforth less shot of disappointment. So, in this task Aluminum Titanium is utilized in assembling gears. Composite materials can be improved in properties over steel compounds and cast iron and thus these can be utilized as a superior option for supplanting a metallic rigging. To plan the goad gear model utilizing structures programming and to examine the basic investigation for existing and composite materials. At last, looking at the outcomes for investigation and test trial of the composite apparatus with existing rigging.
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Abstract : Controllers are used to modify the behaviour of a gadget so it behaves in a particular suitable way. Proportional- Integral-Derivative controller has excessive effectiveness, simplicity in implementation so that, it's miles the maximum broadly used controller in industries for many packages. Conventional approach of tuning PID controller creates massive overshoot. This is an appropriate result for some cause but not most suitable for all applications. The Artificial Intelligence (AI) method of Particle Swarm Optimization algorithm is employed in tuning of PID controller. The important intention of this particular work is to evaluate the traditional technique and PSO method of tuning the PID controller and to prove that PSO technique is greener than the traditional approach in tuning the control parameters. Such sort of optimized controllers can be used for low energy programs with excessive efficiency
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Abstract : Spectrum sensing in cognitive radio (CR) is essential approach that identifies the presence of primary person sign in a channel. Cognitive technology solves the issue by means of access the unlicensed customers from licensed bands. In this paper, energy detection approach set of rules is used for modulated sign to pick out the presence of deterministic primary person (PU) sign in the channel whereas sign is present or absent. There are considered forms of modulated indicators which are BPSK and QPSK under noise (AWGN). Also, simulation overall performance traits of receiver working curves for modulated signal are finished on MATLAB with detection possibility as opposed to fake alarm possibility the usage of the Monte Carlo approach. The hardware implementation created on FPGA board for the switching the absent sign to required secondary person (SU).
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