Notice Board :

Call for Paper
Vol. 4 Issue 10

Submission Start Date:
October 01, 2018

Acceptence Notification Start:
October 10, 2018

Submission End:
October 15, 2018

Final MenuScript Due:
October 25, 2018

Publication Date:
October 31, 2018


                         Notice Board: Call for PaperVol. 4 Issue 10      Submission Start Date: October 01, 2018      Acceptence Notification Start: October 10, 2018      Submission End: October 15, 2018      Final MenuScript Due: October 25, 2018      Publication Date: October 31, 2018




Volume IV Issue VI

Author Name
Deepika Khatwa, Mr. Mohit Jain
Year Of Publication
2018
Volume and Issue
Volume 4 Issue 6
Abstract
In this work projected for watershed segmentation technique takes regarding 3 times the time taken by the k-means bunch technique. Though the HSV color area was found to convey higher results compared to the RGB color area in, in our experiments the RGB and HSV color areas were found to convey virtually equivalent results. Eventually, it had been set to use the HSV color area as a result of it gave higher results than the RGB color area just in case of “difficult Queries”. K-MEAN primarily {based} bunch rule has been projected and also the iterations taken was abundant less (sometimes forty times less) than that of K-MEAN and IMAGE FILTER based schemes. Moreover, K-MEAN based mostly schemes might discover all the peaks and thence, categories accurately. The impact of the configuration, migration policy, rate of migration, and kind of migration on the speed convergence has been studied and it had been discovered that the migration policy and rate of migration greatly influence the conve
PaperID
2018/IJRRETAS/6/2018/37640

Author Name
Mr. Vishnu Malviya, Dr. Dev Kumar Rai
Year Of Publication
2018
Volume and Issue
Volume 4 Issue 6
Abstract
The transmission and distribution lines are vital links between generating units and consumers. This project focuses on detecting Fault detection on electric power transmission lines using artificial neural networks (ANN). The developed neural network is capable of detecting single line to ground and double line to ground for all the three phases Simulation results have been provided to demonstrate that artificial neural network based methods are efficient in faults detection on transmission lines and achieve satisfactory performances.
PaperID
2018/IJRRETAS/6/2018/37651

Author Name
Ms. Purvi Namdev
Year Of Publication
2018
Volume and Issue
Volume 4 Issue 6
Abstract
Now-a-days people are very health conscious and they are using many Ayurveda products in day-to-day life. Herbal and Ayurveda products are becoming popular due to Health tourism also. The World Health Organisation (WHO) estimates 80 percent of the world population is using herbal products. Patanjali offers many Ayurveda products which includes health care items, personal care items, medicines, etc. Patanjali products are popular in Indian as well as foreign market. As per the reports of Broadcast Audience Research Council (BARC 2017), Patanjali Ayurveda products are India’s Biggest Fast Moving Consumer Goods (FMCG) advertiser. This study is an attempt to identify the level of preference towards Patanjali Products which helps to reveal its brand identity.
PaperID
2018/IJRRETAS/6/2018/37649

Author Name
Mrs.Niti Sharma, Mrs.Roma Kataria
Year Of Publication
2018
Volume and Issue
Volume 4 Issue 6
Abstract
Employer Branding has become as important as the goods or services in the market place. The purpose of this paper is to make a conceptual review, benefits, limitations, the process and the impact of employer brand and the response of would-be employees. Respondents prefer one sector over others, one company over others and also the factors determining the choice are also different, but independence in work is what people value the most.
PaperID
2018/IJRRETAS/6/2018/37650