AF-DCGAN: Amplitude Feature Deep Convolutional GAN for Fingerprint Construction in Indoor Localization Systems

AF-DCGAN: Amplitude Feature Deep Convolutional GAN for Fingerprint Construction in Indoor Localization Systems

₹5,000.00
Product Code: Matlab-Deep Learning
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Product Description

                                                Technology: DEEP LEARNING / GAN      MATLAB

Abstract

The demand for localization services increases, indoor localization technology based on fingerprint recognition has become the prevailing positioning technology due to its high precision and minimal hardware requirements. In addition to high accuracy, an indoor positioning system should have low complexity and require little processing time to accommodate mobile devices. Fingerprint-based indoor localization is an effective method that can satisfy these requirements; however, the received signal strength (RSS) or channel state information (CSI) from surrounding access points must be measured at each reference point to build a fingerprint database. In the existing system, keeping amplitude as a feature, deep convolutional GAN is developed in which the finger print construction through amplitude of the recorded signal is used for authentication. In the Proposed system, RSSI values are generated from Pseudo Signals generated for each devices, digitally modulated with the phase of the transmitting waves to generate communicating unique code. Further the system is provided with continuous protection through the generated Unique RSSI code. Further the system is tested using accuracy and sensitivity.

Proposed system

In the Proposed system, RSSI values are generated from Pseudo Signals generated for each devices, digitally modulated with the phase of the transmitting waves to generate communicating unique code. Further the system is provided with continuous protection through the generated Unique RSSI code. Further the system is tested using accuracy and sensitivity.


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Package Includes

Software Projects Includes

  1. Demo  Video
  2. Abstract
  3. Base paper
  4. Full Project PPT
  5. UML Diagrams
  6. SRS
  7. Source Code
  8. Screen Shots
  9. Software Links
  10. Reference Papers
  11. Full Project Documentation
  12. Online support


The Delivery time for software projects is 2 -3 working days. Some of the software projects will require Hardware interface. Please go through the hardware Requirements in the abstract carefully. The Hardware will take 7-8 Working Days

 

Hardware Projects Includes

  1. Demo  Video
  2. Abstract
  3. Base paper
  4. Full Project PPT
  5. Datasheets
  6. Circuit Diagrams
  7. Source Code
  8. Screen Shots & Photos
  9. Software Links
  10. Reference Papers
  11. Lit survey
  12. Full Project Documentation
  13. Online support


The Delivery time for Hardware projects is 7-8 working days.

   

Mini Projects: Software Includes

  1. Demo  Video
  2. Abstract
  3. Base paper
  4. Full Project PPT
  5. UML Diagrams
  6. SRS
  7. Source Code
  8. Screen Shots
  9. Software Links
  10. Reference Papers
  11. Full Project Documentation
  12. Online support

 

The Delivery time for software Miniprojects is 2 -3 working days.

 

Mini Projects - Hardware includes

  1. Demo  Video
  2. Abstract
  3. PPT
  4. Datasheets
  5. Circuit Diagrams
  6. Source Code
  7. Screen Shots & Photos
  8. Software Links
  9. Reference Papers
  10. Full Project Documentation
  11. Online support

The Delivery time for Hardware Mini projects is 7-8 working days.