Design and deployment of android based mobile application for performance analysis of micro strip patch antenna
One of the main factors used to analyze the performance of microstrip patch antennas in Android-based mobile applications, rather than licensing-based antenna design software due to its cost-effectiveness. It can be used to develop significant mobile applications to calculate the gain, return loss,...
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description | One of the main factors used to analyze the performance of microstrip patch antennas in Android-based mobile applications, rather than licensing-based antenna design software due to its cost-effectiveness. It can be used to develop significant mobile applications to calculate the gain, return loss, and efficiency in different types of microstrip patch antenna with various input parameters. A literature review of various mobile applications and their development techniques is presented in this work. The main goal is that “Performance Analysis of Microstrip Patches” is to create a complete Android application that can calculate the parameters using the Non-Linear Vector Decomposed Neural Network (NVDN) method. Modern handheld devices, such as smartphones and Personal Digital Assistants (PDAs), have become more powerful in recent years. A major breakthrough in processing power, along with the additional features included in these devices has opened the door to a wide range of business opportunities. The proposed mobile applications of Android OS with neural network models have been evaluated the different parameters of Micro Strip Antennas (MSAs). The proposed android App is made for the user in a simple graphical friendly. The simulation results of the proposed model are compared with numerous references, and a decent arrangement is come to among them. |
doi_str_mv | 10.1016/j.micpro.2020.103111 |
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It can be used to develop significant mobile applications to calculate the gain, return loss, and efficiency in different types of microstrip patch antenna with various input parameters. A literature review of various mobile applications and their development techniques is presented in this work. The main goal is that “Performance Analysis of Microstrip Patches” is to create a complete Android application that can calculate the parameters using the Non-Linear Vector Decomposed Neural Network (NVDN) method. Modern handheld devices, such as smartphones and Personal Digital Assistants (PDAs), have become more powerful in recent years. A major breakthrough in processing power, along with the additional features included in these devices has opened the door to a wide range of business opportunities. The proposed mobile applications of Android OS with neural network models have been evaluated the different parameters of Micro Strip Antennas (MSAs). 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The proposed android App is made for the user in a simple graphical friendly. 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It can be used to develop significant mobile applications to calculate the gain, return loss, and efficiency in different types of microstrip patch antenna with various input parameters. A literature review of various mobile applications and their development techniques is presented in this work. The main goal is that “Performance Analysis of Microstrip Patches” is to create a complete Android application that can calculate the parameters using the Non-Linear Vector Decomposed Neural Network (NVDN) method. Modern handheld devices, such as smartphones and Personal Digital Assistants (PDAs), have become more powerful in recent years. A major breakthrough in processing power, along with the additional features included in these devices has opened the door to a wide range of business opportunities. The proposed mobile applications of Android OS with neural network models have been evaluated the different parameters of Micro Strip Antennas (MSAs). 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subjects | Android OS Antenna design Applications programs Licensing (technology) Literature reviews Mathematical models Micro strip patch antenna Microstrip antennas Mobile computing Mobile operating systems Neural network and gain Neural networks Parameters Patch antennas Personal digital assistant Personal digital assistants Smartphones |
title | Design and deployment of android based mobile application for performance analysis of micro strip patch antenna |
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