Notice Board :

Call for Paper
Vol. 5 Issue 7

Submission Start Date:
July 01, 2019

Acceptence Notification Start:
July 10, 2019

Submission End:
July 15, 2019

Final MenuScript Due:
July 25, 2019

Publication Date:
July 31, 2019


                         Notice Board: Call for PaperVol. 5 Issue 7      Submission Start Date: July 01, 2019      Acceptence Notification Start: July 10, 2019      Submission End: July 15, 2019      Final MenuScript Due: July 25, 2019      Publication Date: July 31, 2019




Volume V Issue V

Author Name
Pooja Naresh Bhatt, Hemant Mehar, Manish Sahajwani
Year Of Publication
2019
Volume and Issue
Volume 5 Issue 5
Abstract
Solar energy has become an emerging topic for the renewable energy world. The effective utilization of the solar panel and the constant power for small system to big energy system is required. Therefore, it becomes imperative that maximum power should be derived from solar PV panels via Maximum Power Point Tracking (MPPT) which in turn increases its efficiency. In this paper, a PV model has been used to simulate actual PV arrays behavior, and then a Maximum Power Point tracking method using Artificial Neural Network (ANN) is proposed in order to control the on goings of the Cuk Converter. Simulation results show that MPPT method has been carried out which has shown the effectiveness of artificial neural networks controller to draw much energy and fast response against change in working conditions.
PaperID
2019/IJRRETAS/5/2019/39692

Author Name
Vaidehi Bakshi, Mohit Jain
Year Of Publication
2019
Volume and Issue
Volume 5 Issue 5
Abstract
Cloud computing is a new generation computing technology. A wide range of service providers and application developers are accepting the strength of cloud computing. Among various reasons behind efficient computing in cloud the virtualization is one of the essential techniques to obtain the high performance computing. In this context the effective Usage of VMs in a data center is helpful to improve the performance of cloud computing. In this presented work a data mining algorithm is employed for recognizing the inactive VMs in a data center. Therefore a rich survey on data mining techniques is performed. This paper provides the essential contributions in the domain of inactive VM classification.
PaperID
2019/IJRRETAS/5/2019/39690

Author Name
Dr. Shakti Shrivastava, Dr. Smruti Sohani
Year Of Publication
2019
Volume and Issue
Volume 5 Issue 5
Abstract
The development of technology has made problem solving activity easy. Problems can be solved with the help of computer sharply. In modern Era computer is used in every person’s of life. It is more used in education also. Researchers are using it for driving their research effectively. Computer is very useful and vital when large scale sample in used. It saves researcher time and gives more accurate and quick results. This present paper focuses on what is computer? How does it help in research? How does it function.
PaperID
2019/IJRRETAS/5/2019/38689