Chandigarh University

About: Chandigarh University is a education organization based out in Mohali, India. It is known for research contribution in the topics: Materials science & Computer science. The organization has 1358 authors who have published 2104 publications receiving 10050 citations.

Analysis of Clustering Techniques for Software Quality Prediction

Abstract: Clustering is the unsupervised classification of patterns into groups. A clustering algorithm partitions a data set into several groups such that similarity within a group is larger than among groups The clustering problem has been addressed in many contexts and by researchers in many disciplines, this reflects its broad appeal and usefulness as one of the steps in exploratory data analysis. There is need to develop some methods to build the software fault prediction model based on unsupervised learning which can help to predict the fault -- proneness of a program modules when fault labels for modules are not present. One of the such method is use of clustering techniques. This paper presents a case study of different clustering techniques and analyzes their performance.

A Systematic Review of Wireless Body Area Network

Abstract: Combining tiny sensors and wireless communication technology, wireless body area network (WBAN) is one of the most promising fields. In other words, the development of wireless body area network has accelerated due to the rapid development of wireless technology. This article presents a detailed survey as well as a comparative study on wireless body area networks (WBANs). Basically, the paper aims to study the significant characteristics, issues and challenges with WBAN in various fields majorly, in medical application. Moreover, recurrent technologies used in WBANs are the ones most focussed upon during the findings. Also, the recent trends and future research scope have been addressed in this article.