INTRODUCTION: Preservation of fruits by drying is one of the general and important traditional technique followed by the process industries. An accurate controller of relative humidity and temperature is required for the fruit drying control system, which determines the quality of the dried fruits. OBJECTIVES: To design optimal Propositional-Integral-Derivative (PID) controller based on the Particle Swarm Optimization and Radial Basis Functional Neural Network (PSO-RBFNN) for pineapple drying system. METHODS: A Propositional-Integral-Derivative (PID) controller based on the Particle Swarm Optimization and Radial Basis Functional Neural Network (PSO-RBFNN) was proposed in this paper for pineapple drying system. Also, the coupling relationship of relative humidity and temperature is more complicated due to the fluctuations and non-linearity in the drying system. An intelligent Adaptive Neuro Fuzzy Inference System (ANFIS) coupling model is utilized in this paper to access the coupling relationship between relative humidity and temperature. RESULTS: The proposed control system has been implemented in the MATLAB and results are compared with PID controller, Fuzzy Logic Controller (FLC) and Fuzzy PID controller for the performance constraints such as settling time, peak over shoot and steady state error. CONCLUSION: The proposed PSO-RBFNN based PID controller gives better control performance with the highly minimized settling time (42 sec for humidity and 40 sec for temperature) and completely eliminated steady state error and Peak overshoot. Finally, the PSO-RBFNN algorithm based PID controller is concluded as the effective system.
The key objective of this project is to design a decoder which can be used for hardware purposes. Hardware, here accompanies with software which is more we can discuss as a Software Defined Radio application. The decoder implemented here offers to new radio equipment (SDR), the flexibility of a programmable system. Nowadays, the behavior of a communication system can be modified by simply changing its software. Large tree decoder is made by reusing smaller similar sub-modules. Thus the structure is symmetric. The symmetric and regular structure of tree decoder makes the system a less complexity one. The structure obeys regularity and modularity concepts of VLSI circuit, thus is easy to fabricate using cell library elements. Design a Tree Decoder proposed architecture for SDR application on FPGA. The Structures made here are hardware synthesizable on FPGA board and are done in a respective manner. The design to be implementing by using Verilog-HDL language. The Simulation and Synthesis by using Xilinx Vivado design suite.
The most important concept of current day is the multimedia technology. Even a layman, likes to see visual concepts which are far better than 2D objects and writings. An image is worth a thousand words. The main problem that the 3D technique has is the image size it requires. The longer the rendering takes, the bigger the image size will be. So, the processing time as well as the image size that we require increases. The ultimate solution of this kind of problem is to reduce that particular image size.
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