Project details

1) B.E MAIN PROJECT

An Innovative Way to Track Brain Tumor Propagation by Processing MR Images.

The Project aims to build an innovative approach to monitor brain tumor, to find its direction of propagation by processing MRI. The algorithm has three stages, firstly it is pre-processing of image which include segmentation, secondly morphological operation to detect tumor and finally performing quadrant method to find its direction of propagation.

This algorithm is proceeding with the following steps, 1. Give the converted gray scale image of MR image as the input. 2. Noise is removed by app lying High pass filter. 3. After noise removal, quality is enhanced by applying median filter. 4. Compute threshold and watershed segmentation. 5. Compute morphological operations. 6. The output obtained after these operations will be a tumor region. 7. Compare the valves with those of the normal person. 8. Detect the type of the tumor, whether benign or malignant. 9. Apply quadrant method to find out the direction of propagation of the tumor.

2) M.TECH MAJOR PROJECT

Implementation of Opportunistic Scheduling Algorithms in Cross Layer Design.

The wireless Networks facing severe problems in traditional networks in terms of throughput, latency, end to end delay and packet delivery among the nodes. There is a need to design a system which can make use of limited resources and enhances the network requirements by making use of different opportunistic scheduling algorithms like proportional fair and Maximum SNR algorithms. The system makes use of TCL scripts according to which the algorithms work. The different trace file for different dataset is created and make use of NS2 terminal to run the scripts. The individual analysis of different algorithms is to be made and finally combining two algorithms and checks the functionality among the nodes. Estimate the results with the valid graphs. Thus, the testing made to enhance the Quality of services requirements in comparison with the traditional algorithms. Thus, the process carried out for different nodes and conclude with the valid results.

3) Ph.D. PROJECT

An innovative approach to secure the smart meter data and QoS using Cross layer design in association with block chain consensus mechanism.

The main aim of the research work is to carryout numerical and experimental study of the smart Meter implementation and the analysis of the security advancements with the proposed method. To study, explore and identify the current state of research related to security of smart meters in terms of data theft, hardware tampering, unauthorized access etc. which are related to several home and industrial applications. To enhance the efficiency, scalability of operations in the smart metering network and to secure the data with the help of security algorithms. To study and explore the various available blockchain networks and analyze the feasible solutions to counter the problems facing by the existing smart meters. To setup, investigate the blockchain network and test the network parameters to enhance the Quality of Services. To implement the security algorithms based on the Cross layer design approach to provide the secured communications among the components of smart metering network. To provide both the software and hardware solutions to tackle the problems faced by the smart meters with the help of combinations of hybrid consensus algorithms.