Coping Strategies of Young Married Women in Banking Sector with Reference to Health and Family
Many researchers have been done on family work and health but only some of them suggested the strategies to be used by women to tackle these issues. Our paper provides an insight into the problems faced by the Indian married women working in private sector banks and the ways which can help them in solving these issues. This study examines the kinds of work, family and health conflict experienced by female married professionals working in private banks and the suggested strategies & solutions to cope up with the dichotomy. Balancing work and family tasks can put excessive stress on women, who in many families still take primary responsibility for childcare and elder care and end up suffering several health issues. How do such women bring a work-life balance? How do they cope up with the health issues they confront due to work pressure? Will the workplace of the future evolve for the better so that women won't have to worry anymore? Our paper aims at recommending the practices to deal with such complications. Work-life and health balance is a complete myth. But by making calculated choice about which prospect to pursue and which to turn down, rather than simply reacting to crisis, women can engage with work, family, and health. The study is conducted with 100 women professionals working in private sector banks of Delhi region categorized as newly married women and those with young kids across different levels in the hierarchical chain using random sampling method. Percentage, averages and Likert scale will be used for data analysis.
Published by: Ms Mugdha Sehgal, Pallavi Ahuja, Dr. J. K. Batra
Author: Ms Mugdha Sehgal
Paper ID: V2I6-1195
Paper Status: published
Published: December 6, 2016
A Study on Adoption of M-Banking Services by Private Bank Customers in New Delhi
Internet is said to be the third most impactful revolution in the world after the agricultural and industrial revolution. The evolvement of internet had led to the dot-com burst which eventually transformed the traditional banking systems to systems like Automatic teller Machine(ATM), tele-banking, electronic fund transfer and m-banking. Technology plays a very essential role in delivering quality banking services and like any other technological innovation e-banking has also been adopted rapidly by various banks and customers. The boom of e-banking and smart phones has caused a huge shift from traditional banking habits to mobile app banking. This study explains how people living in New Delhi have adopted the mobile banking services provided by the private banks and it examines the factors which persuade the customers to use mobile app for banking. This study is helpful for both private as well as public banks as it gives an insight to what are the latest trends in m-banking and how people respond to it. How do people take mobile apps as a mode of banking service? Are customers more concerned about the ease-of-use or the risk attached with m-banking? Does difference in age group influence the customer’s m-banking behavior? The study is conducted with 200 private bank customers in New Delhi further categorized as customers already using mobile banking, customers using mobile apps for banking and customers currently not using mobile banking with age groups, using random sampling technique. The customers were surveyed with help of a structured questionnaire. Percentage method, averages, standard deviation, regression and correlation techniques have been used for data analysis.
Published by: Ms. Jasleen Rana
Author: Ms. Jasleen Rana
Paper ID: V2I6-1193
Paper Status: published
Published: December 6, 2016
Intelligent Real Time Data Scan Module for Improved System Performance of Distributed Flight Test Instrumentation System Architecture
ABSTRACT—Configuring and designing on-board flight test instrumentation for a modern fighter aircraft is a real challenge. Flight Test Instrumentation (FTI) System has to acquire data from large number of sensors on aircraft. It demands distributed acquisition and centralized processing based flight test instrumentation as the sensors and data acquisition units are spread across large area of the aircraft. Acquisition of data in real time from large numbers of sensors, formatting minor frames as per telemetry standards, and real time data telemetry is a critical task as load on process is very high. This paper brings out a technique for relieving great extent processor load from processor participating to exchange the minor frame data and on-board storage data between remote acquisition unit (RAU) and data center (DACENT) with the help of Intelligent Real Time Data Scan Module(IRDSM). This paper also brings out the detail design approach adopted for IRDSM and significant performance improvement gained. Common design methodology adopted for DACENT and RAU are also brought out here. Self test capabilities of the module, component count reduction for better reliability, design of registry structure, process of screening at the module level for better reliability, extensive testing of modules with different configurations, etc, are also discussed. Issues encountered during the development phase are brought in this paper.
Published by: Madhusudana Rao Vanamala, Vijay V Patel, Prasad NNSSRK
Author: Madhusudana Rao Vanamala
Paper ID: V2I6-1190
Paper Status: published
Published: December 6, 2016
Hybrid Image Compression using DCT and Fuzzy Logic
Abstract— Today there has been big advancement in digital technology that has led to the development of various easily usable devices and methods specially in the fields of communications and data transfer to a longer distances. The transmission of data in the form of documents, images, voice etc.is now reachable to all parts of the society and the services are affordable to a larger number of people. An important aspect is data compression and for that matter Image compression, as images form a larger part of data being exchanged over the internet through social networking and messaging sites and apps all over the world. Among all the various kinds of data images and videos constitute the bulkiest data. Thus, need for compressing the image and video files is an important aspect in data communication. In this research work we present a technique for image compression, using Discrete Cosine Transform and Fuzzy Logic Techniques. The algorithm used in this paper is tested along with several images and the results are compared with other techniques. Our method shows an improved performance both in compression ratio as well as image perceptibility.
Published by: Upendra Kumar Srivastav, Harikesh Pandey
Author: Upendra Kumar Srivastav
Paper ID: V2I6-1189
Paper Status: published
Published: December 5, 2016
Self- Confidence among Dyscalculic Elementary School Students of Shimla District
ABSTRACT The main objective of the present study is to compare the dyscalculic elementary school students on self- confidence in relation to their gender and locality. Null hypothesis were framed in regard to the objective. Investigator administered Self-Confidence Inventory, developed by Dr. Rekha Gupta (2013), to the sample of 60 dyscalculic school students of 8th class drawn from randomly selected schools of Shimla district. For the comparison of students on self-confidence 2x2 ANOVA was used. No significant differences existed among rural and urban dyscalculic elementary school boys and girls on self-confidence. .
Published by: Jeewan Jyoti
Author: Jeewan Jyoti
Paper ID: V2I6-1186
Paper Status: published
Published: December 5, 2016
An Enhanced Image Descriptor Algorithm for Image Retrieval using SIFT – PCA
Due to the growth of internet and social media sites there has been a proliferation of images which makes image retrieval a challenging job. The proposed an Enhanced Image Descriptor Algorithm for Image Retrieval using SIFT-PCA involves three steps: feature detection (Harris Detector), feature description (SIFT), dimension reduction (PCA). The features of all images in database are retrieved and stored in feature database in the form of histogram. When a query image is given, the generated histogram of query image is matched with feature database of all image histograms and those images with minimum distance are retrieved. Euclidean distance is used as the distance measure. For analyzing the performance of the algorithm, average precision and recall are used. Precision is the measure of ability of a system to present all the relevant items and Recall is defined as the ability to present only relevant items.
Published by: Dr. R. Malini
Author: Dr. R. Malini
Paper ID: V2I6-1183
Paper Status: published
Published: December 5, 2016
