Java Major Projects

     Java Major Projects is specially designed according to current major needs. Completing project is a difficult task and most of the students feel it more difficult but it is a major part for every undergraduate and post graduate students. Final year project work is considered in overall academic marks. Due to its great influence, students need to obtain high score in their curriculum. We provide project training for students in successful completion of their academic project. Are you interested in doing Java Major Projects? Need guidance for completing your project? Drop your mail to us for getting project as per your requirements. We offer different types of project training for students include,

• Final Year Project Training
• Research Guidance for PhD and MS Students
• Major and Mini Project Training
• Technical Training for Engineering Students and others
• Global Service Provider for Mobile Apps and Web Apps

Java Major Projects

      Java Major Projects provides best projects delivered by our excellent team of knowledgeable and highly qualified trainers. Java Major Projects is an exciting, fast growing project development company that provide best Java projects with source code for every student. Additionally, we will continue to track research scholar’s need in developing research based projects.

What do we support for Java Major Projects?

• Platform SDK
• NodeJS
• Chrome
• Java JRE 8 Update 144 (32 bit)
• NetBeans 8.2
• Java SE8
• Ant
• Maven

                  -Grunt

                  -Jasmine

                  -Karma

Java Platform Tools and SDKs

• iOS (xCode)
• Android (Android Studio)
• Tizen
• BlackBerry
• Windows Phone
• Azure SDK for Java
• Java SDK

Java Major Projects Topics:

         Now, the world generates huge amount of data and also the technological trend seems to grow and continue in the upcoming years. Internet of Things is going to be first in data generation. Hence, it requires scalable solutions for organizing huge volumes of data. Cloud services have the keys and know how to store and process Big Data. Deploying Hadoop clusters in the Cloud is the big advantage when we manage huge size of data on cloud.  When we coupling these Big Data Technologies (Spark, Cloud, Hadoop), we can tackle various big data problems.  Let’s look at some interesting information about these technologies,

Big Data + Internet of Things + Cloud computing + Hadoop (Spark, Flink)

• Amazon Elastic Compute Cloud
• Machine Learning
• Predictive Analytics
• Statistical Modeling and Model Testing
• Multiple Data Sources
• Applications Integration
• Versatile and Powerful API
• Raw Web Data to Actionable Information
• Decision Analytics Suite
• Software Defined Hadoop Clusters
• AWS Security in Hadoop Clusters

 /*Sample Java Code for Smart City Application Project*/

Requirements:

• Project Tools: JDK-11.8, Netbeans-8.0, Spark-2.2.0-bin-hadoop2.7
• Operating System: Ubuntu-14.04 LTS
• Development Language: Java

//Coding……..

package smartcity_data_analytics;

import java.io.BufferedReader;

import java.io.FileReader;

import java.io.IOException;

import java.io.InputStream;

import java.io.InputStreamReader;

import java.util.StringTokenizer;

import structures.Point;

import structures.Points;

public class PointsReader

{

public static Points getPoints(String in) throws IOException

{

final Points points = new Points();

final BufferedReader reader = new BufferedReader(new FileReader(in));

String line;

while ((line = reader.readLine()) != null)

{

final StringTokenizer tokenizer = new StringTokenizer(line);

final int numberOfParams = tokenizer.countTokens() – 1;

final double params[] = new double[numberOfParams];

for (int i = 0; i < numberOfParams; i++)

{

params[i] = Double.parseDouble(tokenizer.nextToken());

}

final int classId = Integer.parseInt(tokenizer.nextToken());

final Point point = new Point(params, classId);

points.add(point);

}

return points;

}

}

Recent Topics on Big Data Analytics+ IoT+ Hadoop+ Smart City Application

• An effectual performance for Data Fusion and IoT based on big data analytics in Smart Ubiquitous Environments
• A new source for Applicability of BigData Techniques to SmartCities Deployments
• The new process of an Ingestion and Analytics Architecture for IoT applied to SmartCity use cases
• An efficient method for Secure Mechanism based BigData Collection in Large Scale Internet of Vehicle
• A novel technology based on Big Sensor Data Systems for SmartCities
• The new-fangled development for BigIoTData Analytics based on Architecture, Opportunities, and Open Research Challenges
• An efficient mechanism for Beyond Data in the SmartCity by Repurposing Existing Campus IoT
• A novel study of Big Data Analytics Embedded Smart City Architecture for Performance Enhancement through Real-Time Data Processing and Decision-Making
• An innovative method for Internet of Things and BigData Analytics based Smart and Connected Communities
• An original process of Integrated IoT Architecture for Smart Metering based on big data analytics
• An effectual mechanism for Internet of Things on SmartCities based Interoperability and Open Data
• The unbeaten performance  for Big Data Analytics Processes and Platforms Facilitating in Smart Cities
• On the use of Big Data Analytics method based on Urban Planning and Building Smart Cities for Internet of Things
• The new source for cloud based on big data analytics mechanism used by in smart future cities
• A novel technology based on Bigdata for IoT services in smartcities
• A framework based on Big Data Analytics technique for IoT and Smart City Applications
• On the use of Internet of Things and bigdata based on Real-time smart traffic management system for smartcities
• An modern predictive approach to task scheduling scheme for BigData in cloud environments used by classification algorithms
• A new method for Smart Monitoring Cameras Driven Intelligent Processing to Big Surveillance Video Data
• An efficient method for Data Reduction as a Service in SmartCity Architecture