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This paper presents a novel variant of particle swarm optimization (PSO) called adaptive accelerated exploration particle swarm optimizer (AAEPSO). AAEPSO algorithm identifies the particles which are far away from the goal and accelerate them towards goal with an exploration power. These strategies particularly avoid the premature convergence and improve the quality of solution. The performance comparisons...
The main objective of sensor deployment problem in Wireless Sensor Network (WSN) is to use minimum number of sensor nodes with given sensing range that can cover any target in the coverage area to monitor the environment. The optimal sensor deployment enables accurate sensing information on target behavior with minimum sensing range and number of sensor nodes. The target coverage terrain in a locality...
Wireless Sensor Networks (WSN) play very important role in information and communication Technology (ICT) and have attracted a lot of attention lately. The importance of these networks are increasing exponentially due to its usage in monitoring wide variety of applications. In this paper, we propose a novel architecture for intelligent alarm generation in a wireless sensor zone. We developed a decision...
This paper presents design and implementation of a data acquisition system (DAS) in field programmable gate arrays (FPGA) using system on chip (SoC) methodology. To ensure the reliability of data being transmitted over the channel, a suitable framing interface along with error detection is proposed and interfaced with Xilinx Aurora IP core. The proposed DAS is capable of transmitting the data @ 1...
This paper presents quantification of different types of random errors present in the Fiber Optics Gyroscope (FOG) measured data using Allan Variance analysis and denoising of the measured data using Discrete Wavelet Transform (DWT). Allan Variance analysis is performed before and after denoising the measured data. The experimental result shows that after denoising the angle random walk is reduced...
This paper presents an application of different variants of differential evolution (DE) and swarm intelligence techniques for analog circuit synthesis. A CMOS Miller operational transconductance amplifier (OTA) that satisfies certain design specifications is designed as a case study. Two important swarm intelligence techniques namely artificial bee colony (ABC) and particle swarm optimization (PSO)...
This paper presents a novel particle swarm based optimization technique to extract small signal equivalent circuit model parameters of a fabricated GaAs MESFET device. The small signal model includes 16 different circuit elements and all are successfully and accurately extracted using the proposed technique. The proposed technique overcomes the difficulties of initial guess of solution and low convergence...
This paper introduces a novel variant of PSO called accelerated exploration particle swarm optimizer (AEPSO). The AEPSO algorithm select the particles that are far away from the global solution and accelerates them towards global optima with an exploration power to avoid the premature convergence. The performance comparisons such as search efficiency, quality of solution and algorithmic complexity...
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