Category: CSE Projects

Download All Computer Science Engineering Final Year Projects, Project Abstracts, Project Reports, C, C++, JAVA, .NET, C#, VB, PHP Projects. CSE projects listed here covers different topics in java for final year students for free download.

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An Object-Oriented Graphics Engine CSE Latest Project Abstract

Introduction to An Object-Oriented Graphics Engine CSE Latest Project:

An Object-Oriented Graphics Engine CSE Project is about the graphic engine which is object-oriented. Most of the users focus on the quality output and also the performance in the implementation of the graphics engine system. In this paper we have implemented object-oriented graphics system. And also the architecture of the system along with the modules is also presented. It has experimentally proved that this system provides high stability and also speed.

The paper provides the implementation of the graphics engine of 3D i.e. Gingko is given. The experiment which is conducted says that the Gingko is capable of supporting the extendable architecture and also provides the efficiency in the method.

The architecture of the Gingko includes four layers where Encapsulation layer is capable of encapsulating the graphical interfaces. The Core layer is used for implementing the main framework and also the management of the entire system. The other layer Extension provides more functions related to GUI. And the last layer of user interface is capable of providing the common API to all its users.

The main goal of this implementation of the algorithm is for providing the convenient services to all its developers and also in reduction in terms of the cost and also the time. And even the programmers are capable of developing the algorithms by their own with the help of the plug-in system. The performance of the graphics engine depends on the frame rate. In this paper for reducing the cost many experiments were also conducted. 

We can conclude that the Gingko is capable of supporting the extendable architecture and also provides the efficiency in the method.

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An Efficient Image Processing Method Based on Web Services for Mobile Devices Abstract

An Efficient Image Processing Method Based on Web Services for Mobile Devices Project is about an efficient method for the processing of the image in case of the mobile devices. The present system includes the limitations in the resources which results in the degradation of the image processing system. In the existing system the computing model is centralized and implementation is difficult in the mobile devices. 

The solution is given to the above problem with the implementation of the image processing with the help of the web services. Also the processing tasks are shared among the service providers also the registry including the service requesters. 

The web based services are capable of efficient utilization of the resources of the mobile devices and the image processing tasks are distributed accordingly between them. This web based services are more efficient when compared to that of the traditional system for processing of the image. It has a lot of advantages in terms of coupling and also resources utilization in case of the heterogeneous network. 

The experiments which were conducted on the web based services show that there is an increase of around 30% in terms of the memory usage and also the response time was reduced to around 25%.  The processing of the web based image system includes three layers. 

Hence we can conclude that the web based services of image processing system is capable of overcoming the limitations of the existing traditional systems for the processing of the image.

In the existing system the computing model is centralized and implementation is difficult in the mobile devices. The web based services dominate the traditional system in terms of the memory usage and also the response time.

 

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An Efficient Density based Improved K- Medoids Clustering Algorithm Abstract

The CSE Project is about clustering. In the process of the cluster analysis the samples are grouped based on the similar characteristics according to the PCA scores. The ANOVA is used to compare dimensions in corresponding clusters between PCA and FA. 

PCA is a procedure that transforms highly correlated variables to a smaller number of principal components there after cluster analysis is used to divide the dimensions of the samples into three types. 

K-means clustering aims at the optimization to minimize the distance of each sample from the centre of the cluster to which the sample belongs. But the disadvantage of k-means clustering is that the number of the clusters should be specified before. Efforts have been made to find an automatic strategy to determine the number of clusters. The cluster analysis is based on the factor scores of the two key factors, i.e., height factor and girth factor. Then samples are then made into three clusters. The first cluster and the third cluster are overlapping at points of height dimensions. 

The popular methods we are using are principal component analysis (PCA) and Factor analysis (FA) though both of them are capable of reducing the dimensions of variances in sample the such that differences exists between them where PCA analyses all variance present in the data set, while FA analysis only common variances. 

We can conclude that cluster analysis plays a vital role and cluster analysis was developed to divide samples into groups with homogenous characteristics according to the PCA scores. And the ANOVA is used to compare dimensions in corresponding clusters between PCA and FA. 

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Real Time Processing of ECG Signal on Mobile Embedded Monitoring Stations .Net Project

This document shows the problem that is faced with the processing of the teal time of the EGC signal from the end of the patients who are embedded with the mobile monitoring system. Usually two ECG measurement systems are used in the tests and a two ECG corbel along with a 12 channel ECG device issued. Both the products as well as the devices belong from the Corscience company. Because of the processing problem a 12 channel ECG from the device through the Bluetooth to the mobile stations, the packet parsing problem was discussed and it leads to two solutions.

Another portion of the processing of the biomedical data is visualized. Another presentation of the window presentation foundation solution was made and tested. Monitoring systems that are embedded on the mobile device are based on the wide mobile operating system that is designed by the Microsoft company.

On the basis of the. Net framework the entire system is designed and at the  same time it is also based on the .NET Micro Framework, .NET Compact Framework and Microsoft SQL Server. In the real environment in the room if cryogenic that is at the -136 degree centigrade the project is tested successfully.

In the extreme conditions the devices that are used for measuring are tested and it includes rigorous testings in a crogen room in a spa Czech republic. The platforms that were developed passed through In sense testings with high credibility of data that is measured for the physicians.  Further these experimental data will be used by the physicians to make recommendations for the heart patients who are kept in the cryogenic chamber for healing purposes. By a certain percent in these kind of situations the recovery time can be shortened. This is a better procedure which also reduces the time taken for the treatment. 

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CSE Project Topic on Real Time Face Recognition Using Step Error Tolerance BPN Project

In the image collection of data the volume is ever increasing in the various sectors of medicines, science, security as well as other fields that bought the importance of extracting knowledge’s  The computer vision has the main challenge of face recognition or classification. This paper shows the details of the development of a real time face recognition system that is focused for operating in a less constrained area.

At the beginning it reviewed the popular techniques that are used for recognition of faces followed by the details of each step and explanation of the ideas behind it that lead to these techniques. It not only helps in the task of pattern recognition but the neural network process is a Spa application for the face recognition. In our study we have developed a face recognition system that is based on the step error tolerance back-propagation neural network.

Flexible and compact design id provided by the SET-BPN and it also help to reduce the step wise errors. This will make the system easy and readily operable. At the same time it will also provide the best results for classification. For system analysis we make several tests using the real data. According to the empirical results the method that is proposed to greatly enhance the speed of recognition of the the feature matching step.

In the service of security the face recognition plays the best role and in this document we proposed a model of recognition of the face using the step are tolerance back-propagation neural network concept and the processing of digital image which is simple, fast and accurate in constraint surroundings like in household or offices. This system helps in detection of human face and it also enables face recognition and eye localization in the speed almost close to the real time. There are many other advantages of this proposed method.

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Improved Performance Models of Web-Based Software Systems ASP.Net Project

Some resources are accessed by the web based software while executing the clients’ request. At the same time typically several requests arrived which lead to a competition for the available resources. Such situations querying is based on models and it is recognized widely.

Novel models, algorithms have been proposed to limit the queue model of the factor of performance. Plus, it is also shown that the algorithms and proposed models can be used to predict the performance of a web based system software in the environment of ASP.NET. Our work aims to validate the models that is proposed as well as the algorithm to verify the accuracy of the prediction of the performance with the measurement of performance in the ASP.NET surroundings. The results showcased that the metrics performance and algorithms are much more correct and accurate that the algorithm and the original model.

The web based software application system is an important and complex consideration as it has a large number of users who provide high service availability with low time of response. At the same time a certain level of throughput is guaranteed. A properly designed model for performance and appropriate algorithm evaluation can help in the prediction of the metrics performance in the early development process.

Several methods have been proposed in the last few years  for this issue. Most of them is based on the queuing networks of the extended versions or directly on the queueing network. Petri-nets and stochastic Petri-nets are used by another group. Stochastic extension of the algebraic process is the third kind of approach like EMPA, TIPP and PEPA. There are many factors that can influence the performance of the metrics. Various configurable parameters have been investigated by various  papers. And they affect the web based software system performance. For retrieving the factors that influence the performance are used in the hypothesis tests and statistical methods.

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Latest CSE Java Project Topic on Fast Adaptive Fuzzy AQM Controller for TCP/IP Networks Report

Currently Active Queue Management have been proposed to look after the degradation of performance of end-to end control of congestion. AQM algorithms do not able to provide stabilization to the heavy network loads. In this document a fuzzy control algorithm based on the novel adaptive system is used to enhance the  IP network performance. In comparison to the traditional AQM which includes PID and RED the proposal made by us avoid any sort of underflows Andover flow of buffer, reduce droppings with packets etc.

An on-line adpating mechanism is proposed by us that enable the capturing of fluctuating network in conditions. On the other hand, classical AQM requires tuning based on stats mode. The stability of the algorithm is proven mathematical. The results of simulation shows for the utilization of the same link and FAFC provides far more superb performance the PID and RED.

In this document we propose a new system that is acting as an adaptive fuzzy controller for FAFC and AQM. It enables a fast response in comparison to the classical controllers like PID and RED. Thanks to the Lyapunov theory  and the system’s stability is checked properly. The controller that is obtained is simple and allows quick implementation. At the same time it also improves the functions of the network and reduce the delay in work.

For multimedia packet loss rate and jitter are important applications. The experiments of stimulation demonstrate that FAFc allows to stabile the length of the queue quickly in spite of the TCP sessions variation.  The performance result that is demonstrated the capacity of FAFC enable network capturing that are in nonlinear formats. Our future work will aim in extending the FAFC so that it can deal with the requirements of the heterogeneous traffics which will further provide varieties of droppings probabilities in networks.

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A P2P Architecture for Internet Scale Content Based Search and Retrieval Project

Introduction to A P2P Architecture for Internet Scale Content Based Search and Retrieval Project:

The model peer-to-peer is one of the most popular software and with the passing of time it has become more attractive and powerful. This helps in modifying and developing the system of internet scale for the resource sharing which includes documents and files. Nodes are used for distribution of these systems and they are usually located across several networks as well as domains. It affects the efficient retrieval of the important information’s  Plus, in this document we take in consideration all the effects of the construction  that is overlaid and logically aware on the peer-to-peer keyword search algorithms.

As per the existing system the participating nodes of planet construct an inverted index globally over the space of the keyboard which is constructed partially by each node. The basis of the framework includes bloom filters which usually capture Pi nodes. In the rest of the community these filters are gossiped about randomly so that every peer can make a membership query about the Pi contents. Foam filters can be disseminated efficiently in an environment because of its small size that helps in maintaining the filter. The P2P churn rate system makes the peer maintenance an endeavor job.

System Flow Diagram:

P2P Architecture for Internet Scale

The individual peer numbers can be defined by the churn rate that helps in moving out and in from a network over a particular time period thus it may be possible that high rate can translate into the process of maintenance of the bloom filters. In contrast to our framework PlanetP can enable the users to find out the answers of the users’ queries in less timings. It depends on the filter contents like with the peer contents filters go into synchrony.

As per the the context of the Internet-Scale this presumption cannot be easily given a satisfactory explanation and therefore we focus only on the local knowledge that too at an increased amount to get the correct results. The utilization as bloom filters are considered and it is supplementary to the approach made by us. This is just ideal when the network size is limited.

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Supporting Chat Protocols in PickPacket IIT Project for Computer Science Students

Online world media is actually ubiquitous for the electronic transfer of both business and private qualified data. In any case, the same media could be and has been utilized for unlawful exercises. This mandates the requirement for quite customizable grid observing instruments to catch suspected conveyances over the system and to break down them. On the other hand, electronic observation may violate the privileges of security, unhindered discourse and acquaintanceship, Pick Packet-a system following apparatus, can handle the clashing issues of grid screening and protection through its reasonable utilization.

Prior variant of Pick Packet had underpin for four requisition orders-SMTP, HTTP, FTP and Telnet, Chat orders, by which a bunch of users shape a grid to impart informative content around them, have progressed ubiquity in the final few years. Dynamic utilize of the proposed orders on the Internet moved the requirement for backing of visiting orders in Pick Packet, This thesis examines augmentation of Pick Packet for a few visiting orders (IEC and Yahoo Messenger), all parts of the Pick Packet have been redesigned for the backing of newfangled methodologies, and Pick Packet has been tested for accuracy and exhibition estimation.

Mode of Internet for electronic transfer of both business and private qualified information is truly well known. Accordingly, Internet has come to be a nexus asset of qualified data. However the same Internet could be and has been utilized by terrorists, crooks and others to impart qualified data about unlawful exercises.

Groups excessively need to secure their intelligent property from falling into the hands of their contenders. Hence, they turn to knowledge get-together over the system to check if any agent is sending such informative data unlawfully. Consequently, there is a pressing require for infrastructure of instruments that can screen and catch undesirable correspondences over the system.

Checking apparatuses perform their work by sniffing parcels from the system and sifting them on the groundwork of user specified manages. The devices that furnish the facility of defining basic administers for sifting bundles are called Packet sifts. They utilize settled balance parcel informative content like IP addresses and port numbers for sifting. Instruments that sift parcels dependent upon the intricate controls and perform post-catch analysis of gathered activity are termed as Network observing instruments.

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Image Steganography Project Source Code and Documentation

The fact that communication is occurring and it can be hidden is possible only with technique of steganography which is the art of hiding facts. This can be be made possible by hiding one information in another. Various kinds of file formats can be used for this but the technique of using digital images is quite well known especially because of the high frequency on the internet.

There are a wide assortment of steganography methods that can help to hide informations that are secreted in images. some of these techniques are more complex than the others. Each of these has its own weal and strong points. Absolute visibility is required by some of the applications for hiding the secret information while another requires huge secret informations.

This project gives an overview of steganographic image as well as about its techniques and uses. This document further attempts to discover the requirements of the best steganographic algorithms and also reflects on the techniques used that are more perfectly suitable for applications.

The communication system is growing in the modern world and it also requires a special security system on the network of the computer. The security of the network is therefore becoming more and more important as per the data members that are being exchanged on the internet also increased. The data integrity and the confidentiality also need to be protected against unsruptulous uses and accessing. This further results in the growth of hiding information.

Searching the hidden information is one of the basic research area that is emerging nowadays and it also encompasses various applications like protection of copyright for the media, fingerprinting, watermarking and steganography. The information that makes up the applications differ in various cases. It includes usually the name of the owner, his identification, digital time stamp etc.