Search

Major points of concern in implementing a wireless sensor network (WSN) are the network lifetime and energy utility within any delay tolerant network. Both these parameters define the success of the sensor network. The higher the expectancy of network Lifetime, the higher is the probability of acceptance of the network. Similarly, better the energy utilization in the network, better are the chances of success and implementation of the sensor network. Clustering is one such scheme adopted in WSN towards harnessing the best of above specified parameters for the network implemented. Most popular clustering techniques are the variants of LEACH protocol that facilitate cluster formation based on the proximity of an individual node to other nodes in the sensor network. These protocols are based on a single hop structure from the selected cluster heads in the network. This paper embarks on a multi-hop clustering algorithm that takes into consideration the spatial correlation between the nodes to form clusters and implements a highly energy efficient routing scheme which selects the multi-hop path in the network in a dynamic fashion.

Segmentation of video in to objects is must for retrieval of videos based on the contents or detection systems based on the concepts. A variety of video object segmentation algorithms, including semiautomatic and automatic, have been developed. Semiautomatic methods require involvement of human and are therefore inappropriate for numerous applications. Although various applications needs segmentation to be performed automatically, there is still scope for refinement. The goal of the work proposed here is to identify the gaps in existing segmentation systems as well as to provide viable solutions for overcoming such problems in order to develop a accurate and efficient video segmentation method. In this paper the work that is proposed, addresses issues related to segmentation of video automatically, like background that is uncovered, interim poses, and background's global motion. [ABSTRACT FROM AUTHOR]

This paper focuses on providing economical methods for manufacturing of hot die steel inserts, for various optimized solutions developed the constraint of the existing manufacturing setup is also considered. The techniques are implemented on a pressure die casting moving die insert component. The present optimized solution is derived for manufacturing rope length minimization of the die casting inserts (moving and fixed die) to get optimized solutions at every stage. The implementation of combined electrode, combined assembly machining and the cluster plate machining techniques are the key development done in the research. Combined electrodes, assembly machining along with cluster machining of the electrodes reduce the total physical operational time of the die which will ultimately leads to saving the overall manufacturing cost and increase the profit The proposed solution opens up new avenues for similar automobile components by setting benchmark to decrease the rope length associated to manufacturing and increase the profit. [ABSTRACT FROM AUTHOR]

Major points of concern in implementing a wireless sensor network (WSN) are the network lifetime and energy utility within any delay tolerant network. Both these parameters define the success of the sensor network. The higher the expectancy of network Lifetime, the higher is the probability of acceptance of the network. Similarly, better the energy utilization in the network, better are the chances of success and implementation of the sensor network. Clustering is one such scheme adopted in WSN towards harnessing the best of above specified parameters for the network implemented. Most popular clustering techniques are the variants of LEACH protocol that facilitate cluster formation based on the proximity of an individual node to other nodes in the sensor network. These protocols are based on a single hop structure from the selected cluster heads in the network. This paper embarks on a multi-hop clustering algorithm that takes into consideration the spatial correlation between the nodes to form clusters and implements a highly energy efficient routing scheme which selects the multi-hop path in the network in a dynamic fashion. [ABSTRACT FROM AUTHOR]