Centroid based Categorization Approach for Extraction of Body Sensor Network Data
Journal Title: International Journal on Computer Science and Engineering - Year 2010, Vol 2, Issue 1
Abstract
Monitoring human activities using wearable wireless sensor nodes has the potential to enable many useful applications for everyday situations. The long-term lifestyle categorization can greatly improve healthcare by gathering information about quality of life; aiding the diagnosis and tracking of certain diseases. The deployment of an automatic and computationally-efficient algorithm reduces the complexities involved in the detection and recognition of human activities in a distributed on Body sensor network server. Directory service is a useful aid human looking for information on Network Data. A directory services is a pre-categorized list of topics containing many links for each topic. However, most directory services are maintained manually now and face many drawbacks. Therefore the task of automatic categorization of new data into the topics of directory services becomes very necessary. BSN data categorization is more difficult due to a large variation of noisy information embedded in Sensor network data. This paper suggests a new Centroid based approach for Categorization for BSN data. We further introduce a new algorithm through centroid based approach for extraction of BSN data categorization and show that it achieves about more improvement over other BSN data categorization methods. Experimental results show that our proposed Centroid-based BSN data categorization algorithm achieves an approximately 13.8% improvement for BSN data categorization algorithm.
Authors and Affiliations
Setu Ku. Chaturvedi , Basant Tiwari
Keywords
Related Articles
- EP ID EP118741
- DOI -
- Views 101
- Downloads 0
Reconfigurable Computing Systems Used To Support Next Generation High Speed Applications
Emerging dimensions of scientific computing have changed the structural requirements of the under laying hardware and software resources. The growing scientific applications are demanding for the high speed computing pla...
Collaborative Filtering Based Recommendation System: A survey
the most common technique used for recommendations is collaborative filtering. Recommender systems based on collaborative filtering predict user preferences for products or services by learning past user-item relationshi...
Method for forecasting the volume of applications using probabilistic classifier based on Bayesian theorem for recruitment in the government organizations
In this paper, we propose a practical method to estimate or forecast the volume of applications based on Bayesian classifier which is a probability method that makes optimal decision based on known probability distributi...
Providing security in Vehicular ad hoc networks (VANETs) through historical data collection
Today Vehicular Ad-hoc Networks (VANETs) are needful to improve safety on the roads. But using this kind of networks has a few issues. Providing security is one of the most important issues that users of VANETs are assoc...
Optimization of Transmission Conditions for Thin Interphase Layer Based on Imperialist Competitive Algorithm
The imperialist competitive algorithm (ICA) that was recently introduced has shown its good performance in optimization problems. In this paper a novel optimization algorithm based on ICA is used for obtaining transmissi...