A. Charan Kumari

Work place: School of Engineering, The NorthCap University, Gurgaon, India

E-mail: charankumari@yahoo.co.in


Research Interests: Computational Science and Engineering, Software Engineering, Evolutionary Computation


A. Charan Kumari received her Ph.D. from Dayalbagh Educational Institute, under collaboration with Indian Institute of Technology, Delhi, India, under their MOU. Currently she is associated with THE NORTHCAP UNIVERSITY, India, as an associate professor in the department of Computer Science and Engineering. She has an excellent teaching experience of 15 years in various esteemed institutions and received various accolades including the best teacher award. Her current research interests include Search-based Software engineering, Evolutionary computation, and soft computing techniques. She has published papers in journals of national and international repute. She has delivered an invited talk at 43rdCREST open workshop on Hyper-heuristics at UCL, London. She is a member of IEEE, Computer Society of India (CSI) and Systems Society of India (SSI).

Author Articles
Analysis of Features using Feature Model in Software Product Line: A Case Study

By Hitesh Yadav A. Charan Kumari

DOI: https://doi.org/10.5815/ijeme.2018.02.06, Pub. Date: 8 Mar. 2018

This paper shows an analysis of features of email system using feature model in a Software Product Line (SPL). The core features that can be used by different SPLs are identified using feature model. The analysis is based on two primary measures – reusability and consistency. Reusability measures the level of frequency of usage of the feature in developing a new software product line and consistency ensures that the core features are consistent in a software product line. On the basis of reusability measure, the core features are classified into four different categories. These measures help in understanding the Return on Investment in a software product line.

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Performance Analysis of Rectangular and circular Shape Building Deployment for an Indoor Visible Light Communication System

By Ram Sharma A. Charan Kumari

DOI: https://doi.org/10.5815/ijcnis.2017.07.02, Pub. Date: 8 Jul. 2017

The LED (Light emitting diode) based lighting systems are gaining popularity for its dual use i.e. for energy efficient lighting systems as well as for indoor optical wireless communication systems. Although, Visible light spectrum has the capability to provide very large system bandwidth (in THz), yet these systems have the limitation on account of limited modulation bandwidth. Besides, Visible light communication (VLC) systems also suffer due to multi-path propagation resulting in further depletion of system bandwidth due to pulse broadening. Therefore, one of the deployment objective of a visible light communication (VLC) system is to reduce the root mean square (RMS) delay parameter besides minimizing the number of LEDs. Hence, performance analysis of two geometrical shape structures mainly rectangular and circular models are explored for ubiquitous indoor coverage using hyper- heuristics evolutionary algorithm(HypEA) under spatial receiver mobility. Therefore, it is possible to achieve lower RMS delay spread and hence multi- fold increase in the overall system bandwidth without the use of complex system techniques like OFDM- MIMO etc.

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