Tips to select Final Year Projects

Do not Prefer Application Projects. If you want to do then You can get it from Internet . There won’t be any major scope for the Application projects and there won’t be any waitage to the project in the Interview.

Most of the project centers will rename the topic for a particular topic. Get the base paper and verify with our blog to check the genuinity of the project. Identify the best place to do your projects.


Wireless computing domain : cse/it students are not advised to do projects in wiress computing domain. 100% of the projects done in this domain is fake. Base Paper should not contain wireless, protocols, packets. Obviously, wireless computing domain projects without proper sensors and wireless network formation cannot be done. So students should not prefer wireless domain. Simulation project in wireless costs rs. 250 in the market and it’s of no use.

Question to ask: What’s the sensor we are using? What’s the range of wireless communication happening? How we are connecting to the node. Where the nodes are located. If the nodes are located in the same machine or different machine. Throw away the project.


networking project - A real networking project should have real routers. Instead, if we use pictures as routers then it can’t be a real project and there is no scope for the project. simulation project costs only Rs. 200 in tamil nadu.

Question to ask: what kind of router / switch we are going to use? what kind of programming we are going to do in the router. if there is no router, don’t take up this project.

Wifi Projects are not networking projects. This kind of projects cost Rs.200


grid computing domain : absolutely fake project domain. it’s impossible to construct or design grid in the real world. all final year projects in this domain are fake. Implementing a real grid is not possible for a student. simulating grid related projects cost 400 to 500 rs.

Question to ask: what’s the grid we are going to use? is it oracle grid environment or sql azure environment. project related to this domain is fake. no questions to ask.


Cloud Computing domain – Connecting to the external world Atleast next country is cloud computing. If connected to the remote machine or same machine is a simulation project. Any simulation project under this domain costs 200 rs.

Question to ask: where we are connecting to fetch data? if it’s next machine or same machine then it’s networking project not a cloud computing project. The data should be in remote atleast in other country.


Mobile with wireless domain: all the project in this domain is fake. simulation projects costs 270 rs.

Question to ask: no questions to ask. don’t prefer this domain.


Data mining domain – real data mining involves knowledge cube construction and it’s done by the tools ssas and owb. implementing this project only with java or dotnet is fake. constructino a OLAP environment and using mdx queries to fetch data is the real data mining project. simulation project costs 320 rs.

Question to ask: how we are constructing the cube? how we are fetching the data. project with out cube is absolutely fake.


web mining – collating the real data from internet directly. Data processed in database is absolutely fake. simulation project costs 250 rs.

Question to ask: how dynamically we are retrieving the data from internet? how it’s processed based on the base paper.


REAL TIME SURVEILLANCE SECURITY – REAL CAMERA SHOULD BE USED. using web camera is a FAKE PROJECTS. do not do this kind of project. there won’t be any value for this project.
students are not advised to do projects related to videos. the entire source code is available in internet and there is no scope for these projects.

Question to ask: waste domain. don’t prefer.


NETWORKS domain – ROUTER AND SWITCH IS COMPULSORY for a networking project. PICTURS OF rOUTER/NODES/SWITCH/ SERVER IS absolutely FAKE. simulation project doesn't have value and it costs 300-400 rs.

Question to ask: what kind of router / switch we are going to use? what kind of programming we are going to do in the router. if there is no router, don’t take up the project.


SERVER PERFORMANCE – PROJECT SHOULD BE DONE IN THE REAL SERVER LIKE MACHINE with windows server or web sphere or linux os. the server configuration should be minimal OF QUAD CORE WITH SERVER OPERATING SYSTEM(Windows server or websphere) OR ELSE IT’S FAKE. no value for the simulation projects.

Question to ask: getting the server or configuring the server is too costly. how the performance will be calculated. if it’s local machine, then its waste project.


NEURAL NETWORKS - DO NOT PREFER this domain. it’s OUTDATED DOMAIN

Question to ask: nothing to say. no value for this project.


ARTIFICIAL INTELLIGENCE – real ai cANNot BE implemented by final year project centers due to hardware requirements too. REMODIFICATION OF SMALL PIECE OF CODE IN INTERNET CAN BE DONE. REAL ieee PAPERS CANNOT BE IMPLEMENTED. dO NOT PREFER THIS KIND OF PROJECT for completing your final year projects.

Question to ask: don’t prefer this domain.

Friday 21 September 2012

Web and Personal Image Annotation by Mining Label Correlation with Relaxed Visual Graph Embedding


IEEE Topics:

Web and Personal Image Annotation by Mining Label Correlation with Relaxed Visual Graph Embedding

IEEE Project Title, Year:

IEEE TRANSACTIONS ON IMAGE PROCESSING, VOL. 21, NO. 3, MARCH 2012

Abstract:

The number of digital images rapidly increases, and it becomes an important challenge to organize these resources effectively. As a way to facilitate image categorization and retrieval, automatic image annotation has received much research attention. Considering that there are a great number of unlabeled images available, it is beneficial to develop an effective mechanism to leverage unlabeled images for large-scale image annotation. Meanwhile, a single image is usually associated with multiple labels, which are inherently correlated to each other. A straightforward method of image annotation is to decompose the problem into multiple independent single-label problems, but this ignores the underlying correlations among different labels. In this paper, we propose a new inductive algorithm for image annotation by integrating label correlation mining and visual similarity mining into a joint framework. We first construct a graph model according to image visual features. A multi label classifier is then trained by simultaneously uncovering the shared structure common to different labels and the visual graph embedded label prediction matrix for image annotation. We show that the globally optimal solution of the proposed framework can be obtained by performing generalized eigen-decomposition. We apply the proposed framework to both web image annotation and personal album labeling using the NUS-WIDE, MSRAMM 2.0, and Kodak image data sets, and the AUC evaluation metric. Extensive experiments on large-scale image databases collected from the web and personal album show that the proposed algorithm is capable of utilizing both labeled and unlabeled data for image annotation and outperforms other algorithms.

Problems in this project:




 Ø  This project requires proper knowledge cubes that are created using MDx query.

Reasons for declaring this project as fake project:

 Ø  Mining can be done only using the knowledge cubes.
 Ø  If it is not done then the project is absolutely fake.
 Ø  Hence students are advised not to do this project.

Suggestions to complete this project as genuine project:

 Ø  Proper evolutions of knowledge cubes can make this project a success.Advisable to take this as a research work.

Posted by at

No comments:

Post a Comment

Subscribe to: Post Comments (Atom)