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1
Digital beamforming implementation of switch-beam smart antenna system by using integrated digital signal processor and field-programmable gate array
Published 2008“…After modeling, the algorithm is implemented in DSP. …”
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2
Study and Implementation of Data Mining in Urban Gardening
Published 2019“…The system is essentially a three-part development, utilising Android, Java Servlets, and Arduino platforms to create an optimised and automated urban-gardening system. …”
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3
Enhancement Of Wifi Indoor Positioning System
Published 2011“…The algorithm calculates the distances from the RSSs col- lected around the area, and checks for an error occurrence after the location estimation is calcu- lated with Least Square Algorithm (LSA). …”
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4
Antenna design using left-handed materials
Published 2008“…After modeling, the algorithm is implemented in DSP by using C and Code Composer Studio. …”
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5
Antenna design using left-handed materials
Published 2008“…After modeling, the algorithm is implemented in DSP by using C and Code Composer Studio. …”
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6
Web-based expert system for material selection of natural fiber- reinforced polymer composites
Published 2015“…Finally, the developed expert system was deployed over the internet with central interactive interface from the server as a web-based application. As Java is platform independent and easy to be deployed in web based application and accessible through the World Wide Web (www), this expert system can be one stop application for materials selection.…”
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7
A multilayered convolutional sparse coding framework for modeling of pooling operation of convolution neural networks
Published 2019“…We demonstrate that with optimal parameters selected for sparsity of feature maps, the pooling operation (here max pooling) when used layered wise in ML-CSC framework improves the effective dictionaries and resulting feature maps, which in turn improves the reconstruction accuracy of images after multilayered implementation.…”
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Proceeding Paper -
8
Embedded Artificial Intelligent (AI) To Navigate Cart Follower
Published 2018“…The set of parameters used in traingd are lr, max_fail, min_grad, goal, time, and epochs. The final weights and biases generated with the minimum MSE performance after several run is used to train NN in the FPGA together with the structure of NN obtained in Simulink. …”
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9
Development of low power viterbi decoder on complex programmable logic device platform
Published 2018“…Consequently, the number of logic gates and the total power consumption of the STTC Viterbi decoder can be reduced by using the new algorithms. The proposed algorithms have been designed and implemented by using MATLAB, Altera Quartus 2 and Altera MAX V CPLD board. …”
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