Category: CSE Mini Projects

Introduction to Web-Pharmaceuticals project:

Web pharmaceuticals project is implemented in java platform using HTML, java script and CSS and oracle as database. Main aim of web pharmaceuticals project is to develop a online web portal which can handle products information, booking from distributors from all over the world and online payment for orders and customer support for distributors. This application will atomize the procedure of drugs supply by Pharmaceuticals Company and improve business standards and customer relationship. Using these application distributors can view detailed information of transactions and drugs information and future orders from his account.

This application consists of four modules admin module, user module, order products module, reports module.

Admin module: This module allows adding, deleting and modifying product details and updating to database. This module maintains customers, dealers, information in database. This module is sub divided in to five modules.

User Module: Users should register with application and buy products be selecting from the list. Users are provided option of DD, Check and Credit card payment.

Product Module: This module allows distributors and users to request for products they want and order products though online payment.

Report Module:   Using this module users can view transactions and order information and take print out.

For more information on this project students can download project report from below download link. 

Download Web-Pharmaceuticals project Abstract from this link.

Introduction to Applying Data Mining In Prediction And Classification Of Urban Traffic:

Applying data mining in prediction and classification of urban traffic project is implemented in java platform. Progress and development of computer science and usage of modern hardware technologies in sampling data causes generating a huge amount of data to gather and process in most of the fields. Although more sample data can help more accurate decisions, in most cases dilatory methods of analysis and process make it impossible to use this amount of data. As well as appearing high-tech devices of sampling data, new algorithms and software technologies have been developed to survey and analyze the sampled data.

Data mining presents different methods and algorithms that can help us in mining knowledge from data, clustering and classifying data, predicting future status and decision making. Utilizing apparatuses like sensors, networks (cable or wireless), cameras and high speed computers in current traffic systems open a new field for data mining to demonstrate its capabilities. Prediction of traffic and making decision for it are two of the most important benefits of employing data mining in traffic management; there are many other instances to proof applying data mining in traffics. Moreover numerous quantity of gathered data and on the other hand frequent income of acquired data makes the manual analyzing impossible. Therefore employing data  mining techniques becomes necessary.

Existing system:

In some cases all data is ready and the quantity of it is known; we will use algorithms which are called static data mining algorithms. Therefore the pattern is stable so, it is enough to run the learning algorithm once and then use the resulted pattern algorithm on the rest of data. On the other hand there are situations that algorithm could not have all the data at the beginning and system will receive new data during its process. Algorithms which are working on these kinds of data are called Stream data mining algorithms. In these cases it is possible that the pattern changes during the time, so running the learning algorithm just once at the beginning and utilizing mined knowledge for all new data which are entering the system is not a reasonable method. In stream data mining we should refresh the pattern by running the learning algorithm in specified periods of time with new sets of learning data. In other words the old knowledge should be removed and recent knowledge driven from new stream of data must replace it.

 Proposed System

We proposed  another way of processing stream data, new learning data are used to update the former knowledge hence available knowledge of system will become compatible with the change of the data pattern by time. The traffic issue and its concerning data have stream nature. This data is collected in time and its pattern may change in relation with season, oil price, and holydays. Thus to analyse traffics we have to use stream data mining methods.

In this research we use data mining for learning effect of special parameters on traffic, and then we will employ this knowledge to predict the traffic state and make decisions about it. Classification is one of the data mining branches that can be used in interference learning, knowledge mining, prediction and decision making. In classification cases a learning set is defined to result a classifier algorithm. Each sample in learning set has some variable fields and a class number which indicates its class. Completed the learning and test phase, classifier predicts the class of incoming new data.

Download Applying Data Mining In Prediction And Classification Of Urban Traffic from this link.

Introduction to Digital Watermarking Project:

Digital watermarking project is implemented in java platform. Digital water marking project explains about concept of providing security for images, video and audio files. Digital signal patterns are inserted in to digital images since every image copy is integrated with digital signal this digital watermark is also called as digital signature. Digital watermarking is also called as encryption procedure which we use protects data using encrypting key. Difference between encryption and watermarking techniques is in encryption data is not understandable but in watermarking data is visible but which cannot be duplicated and protects original owner ship of a redistributed copy.

In present image security digital watermarking is the widely used technique for protecting copy right for images, audio and video files.

This project explains about concept of developing new techniques of digital water marking of images. Using this method we can protect copy righted information from 90 different attacks.  This project also covers defects in existing digital water marking techniques and improvements in fast hadamard transform watermarking approach provides robust and efficient method to perform digital watermarking techniques and provide solution for better copy right protection method.

For more information on digital water marking related seminar topics and project reports. Students can find more related projects with source code from this site for free download.

Download Digital Watermarking Project Abstract from this link.