Qualification: 
Ph.D, M.Tech
Email: 
tripty_singh@blr.amrita.edu

Dr. Tripty Singh currently serves as Assistant Professor at the department of Computer Science, Amrita School of Engineering, Bengaluru. She completed her Ph.D studies from Rajiv Gandhi Proudyogiki Vishwavidyalaya, Bhopal.

Publications

Publication Type: Conference Paper

Year of Publication Publication Type Title

2017

Conference Paper

A. R. Doke and Dr. Tripty Singh, “Comparative Analysis of Wavelet Transform Methods for Fusion of CT and PET Images”, in International Conference on Power, Control, Signals and Instrumentation Engineering (ICPCSI-2017), , Saveetha Engineering College, Chennai, 2017.

2017

Conference Paper

R. R. Nair and Dr. Tripty Singh, “Logistic Regression for Mouth (orotracheal) or nose (nasotracheal) Endotracheal Intubation ”, in International Conference on Power, Control, Signals and Instrumentation Engineering (ICPCSI-2017), , Saveetha Engineering College Chennai , 2017.

2017

Conference Paper

T. Babu, Dr. Tripty Singh, Dr. Deepa Gupta, and Hameed, S., “Colon Cancer Detection in Biopsy Images for Indian Population at Different Magnification Factors Using Texture Features”, in 9th International Conference on Advanced Computing (ICoAC 2017), MIT, Chennai , 2017.

2017

Conference Paper

R. R. Nair, Dr. Tripty Singh, Nayar, R., and Kumar, S., “Modified Level Cut Liver Segmentation from CT”, in 9th International Conference on Advanced Computing (ICoAC 2017), MIT, Chennai, 2017.

2016

Conference Paper

Dr. Tripty Singh, “Modeling architecture for telecomm services and computing the improvement attained on key performance indicators”, in Proceeding - IEEE International Conference on Computing, Communication and Automation, ICCCA 2016, 2016, pp. 1325-1331.[Abstract]


In today's era of communication, a company's brand is driven by more than the combination of promises made and promises kept for customer satisfaction to gain popularity of brand name. A telecommunications service provider's survival depends on its ability to prepare for changes in customer needs, as well as changes in regulation and technology. But the increasing expectations of customers and the introduction of many new services and technologies is making it difficult to comprehend and meet customer requirements. Therefore, in this paper the background of transformation in the telecommunication companies is analyzed. As in the rest of the competitors, a performance indicator or key performance indicator (KPI) is a measure of performance. Such measures are commonly used to help an organization define and evaluate how successful it is, typically in terms of making progress towards its long-term organizational goals. From the characteristics of telecommunication services, this paper makes the evaluation method of the quality of telecommunication services based on customer experience. Evaluation method designs for ASR and CCR are considered to determine the quality of telecommunication services and the factors contained in various genes. The implementation of the newly proposed architecture was carried out at TELECOM-SOUTH Telecom sector 1 and Telecom sector 2 solution. TELECOM-SOUTH Region KPI's were analyzed on MetaSol software. Hence, this paper makes an analysis on real cases in telecommunication. © 2016 IEEE. More »»

2014

Conference Paper

Dr. Tripty Singh, “Novel restoration process for degraded image”, in Proceedings - 2014 5th International Conference on Signal and Image Processing, ICSIP 2014, Bangalore, Karnataka, 2014.[Abstract]


Restoration techniques of degraded image is still a challenging task, in spite of the sophistication of the recently proposed methods. All show an outstanding performance when the image model corresponds to the algorithm assumptions but fail to retain the edges and fine structure. In this paper, a novel approach for image restoration has been developed. To show the analysis of performance of this noel restoration procedure GUI has been developed. It shows the Restoration of Degraded image on various noises by different Filters. In implementation of the approach first, image is degraded by adding different types of noises in sample images and then convolving images with different kinds of filters (Mean Filters, Min and Max Filters). Proposed image restoration method's analysis on performances of denoising techniques Graphical User Interface has been developed as a part of this research. In this paper true colour sample images are degraded with different noise and then is restored back. The performance analyis of the present approach with state of art techniques are in terms of mean square error, peak signal-to-noise ratio, and normalized absolute error is also provided. In comparisons with other state of art methods, present approach yields better to optimization, and shows to be applicable to a much wider range of noises. © 2014 IEEE.

More »»

207
PROGRAMS
OFFERED
5
AMRITA
CAMPUSES
15
CONSTITUENT
SCHOOLS
A
GRADE BY
NAAC, MHRD
9th
RANK(INDIA):
NIRF 2017
150+
INTERNATIONAL
PARTNERS