An Analysis of a Large Scale Wireless Image Distribution System Deployment

Project Code :TCPGNS65

Objective

In this project, we describe two setups of a wireless image distribution system using different network architectures.

Abstract

There are two setups in this project, in the first setup, commercial grade network equipment was used in the network infrastructure of the system. In the other setup, the network infrastructure consists of a wireless mesh of NICT NerveNet nodes. 

For the first setup, results showed that the choice of hardware and network equipment used were sufficient to support the load of the system in an auditorium with a capacity of about 160 people. For the NerveNet setup, it superseded the first setup in terms of quick and clean setup, leaving the performance aspect to be further improved.

Keywords: Wireless Presentation System, Wireless Image Distribution, Log Analysis, Data Analytics, Wi-Fi, Wireless.

NOTE: Without the concern of our team, please don't submit to the college. This Abstract varies based on student requirements.

Block Diagram

Specifications

HARDWARE SYSTEM CONFIGURATION:

  • Processor- I3/Intel Processor
  • Ram- 4GB (min)
  • Hard Disk- 160GB

SOFTWARE SYSTEM CONFIGURATION:

  • Operating System: Windows 7/8/10
  • Application Server: Tomcat 9.0                     
  • Front End: HTML, JSP
  • Scripts: JavaScript.
  • Server side Script: Java Server Pages.
  • Database: My SQL 6.0
  • Database Connectivity: JDBC.

Learning Outcomes

  • How cloud computing works?
  • Learn Abstract Syntax Trees (AST).
  • Defect prediction techniques
  • Deep Belief Network (DBN).
  • How secured and non-secured cloud systems work?
  • Use of HTML and CSS on UI Designs.
  • Data Base Connections.
  • Data Parsing Front-End to Back-End.
  • Need of Eclipse-IDE to develop a web application.
  • Working Procedure.
  • Testing Techniques.
  • Error Correction mechanisms.
  • How to run and deploy the applications?
  • Introduction to basic technologies used for.
  • How project works.
  • Input and Output modules.
  • How test the project based on user inputs and observe the output?
  • Project Development Skills:
    • Problem analyzing skills.
    • Problem solving skills.
    • Creativity and imaginary skills.
    • Programming skills.
    • Deployment.
    • Testing skills.
    • Debugging skills.
    • Project presentation skills.
    • Thesis writing skills.

Demo Video

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