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Research Paper

Non – Performing assets and its impact on profitability

The financial industry assumes a vital part in the Indian economy. Estimating and keeping up the advantage nature of banks is significant for the advancement of the financial division. These days, the benefit quality in banks, particularly the Public Division Banks is continually breaking down and accordingly making insufferable pressure the financial part, controllers, and Indian economy. The goal of the current examination is to comprehend the degree of Non-performing Assets (NPA), and how it impacts the productivity of the banks. For this reason, the examination thought about Gross and Net NPA of 10 Public and Private division banks from April 2014 to March 2018. The examination recognized that both general society and private segment banks steadily increment their Net and Net NPA during the period. The investigation found that there is a huge positive connection between Gross NPA and Net NPA of public and private area banks. The examination additionally found a huge negative connection between NPA with Return on Assets (ROA) of public and private part banks. The effect of possession (public and private division banks) altogether impacts the Gross and Net NPA.

Published by: Rajat Shirdhankar, Harsh Shrivastava, Mayur Phatak

Author: Rajat Shirdhankar

Paper ID: V6I5-1266

Paper Status: published

Published: September 29, 2020

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Research Paper

Review massive MIMO utilization approaches in OFDM channel

Past years, they have become the election choice for millions of users around the world, having democratize communications. Such development allowed the world to be more connected than ever, connecting the most remote zones of the world to the rest of the world. Massive MIMO have the capability of expanding even more its influence, if they can increase the quality and capacity. If such objectives are obtained the wireless systems will be able to become the most important communication system in use, substituting even optical fiber cable in some cases. With the development of technology, there is a much great need for quality of the service and bigger data streams. Increasing the capacity of a telecommunication system will allow to cope with that need. The solution for the need for capacity, can be solved with the use of massive multiple input multiple output (MIMO) techniques, since MIMO system approach have already shown to increase the capacity of a wireless system. The implications of this approach will make systems more complex and more energy consuming, in order to sustain the massive MIMO system.

Published by: Aadil Amin Aakhoon, Prof. Sunil K Panjeta

Author: Aadil Amin Aakhoon

Paper ID: V6I5-1246

Paper Status: published

Published: September 28, 2020

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Research Paper

The history of pandemics and epidemics in India

Intermittent contagious disease outbreaks have had significant and enduring socioeconomic impacts throughout history. These occurrences have profoundly influenced and also have hundreds of thousands of years of physical, political, and social facets of human society. Outbreaks of epidemics have developed some of clinical medicine 's foundational values, which encourage the science world to evolve epidemiological, preventive, immunization and antimicrobial medicine concepts. Global public health is improving with leaps and bounds, but pandemics are not always unexpected. The diverse types of epidemiological shifts may be one of the key reasons in and around the world for such events. India has encountered several epidemics and pandemics throughout history. This paper talks about such outbreaks known to have occurred in the 19th – 21st century and are arranged in accordance with the chronology.

Published by: Mihika Yeole, Salman Shaikh, Mayur Phatak

Author: Mihika Yeole

Paper ID: V6I5-1256

Paper Status: published

Published: September 28, 2020

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Research Paper

Resonance Damping of Weak Grid Connected DFIG Generation System

This work presents control of grid connected DFIG system with the HFR damping and harmonics suppressor. In order to improve the performance of the system and reduce harmonic content of the weak grid, the HFR needs to be effectively damped. In this work, the proposed active damping control strategy implemented effectively both in the Rotor Side Converter (RSC) and in the Grid Side Converter (GSC), through the introduction of virtual positive capacitor by reshaping the DFIG system impedance and mitigate the high frequency resonance.

Published by: Vipin Gupta, BARKHA KHAMBRA

Author: Vipin Gupta

Paper ID: V6I5-1205

Paper Status: published

Published: September 26, 2020

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Research Paper

Power quality improvement of integrated PV/wind grid-connected system

Integrated PV/Wind grid-connected system is emerging as a solution to duo problems of the conventional power systems of high transmission losses and shortage of conventional sources. Traditionally integrated non-conventional system of electricity generation obtained from different sources is collected at a common DC bus or are connected electrically through power converters to extract maximum energy. The incorporated power converter topologies utilize different generators and control strategy to supply the load according to their voltage and harmonic content. The work done is to analyze the interface of solar electric and WGS to restore grid characteristics. A converter has been designed using a neutral point clamped MLI to control the grid parameter as well as PV/Wind hybrid system parameters simultaneously for improving the power quality of the system.

Published by: Shubham Soni, Madhu Upadhyay

Author: Shubham Soni

Paper ID: V6I5-1204

Paper Status: published

Published: September 26, 2020

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Research Paper

Modern algorithm of neural networks

This paper deals with researches and literature reviews on Deep Neural Network. In the area of biometrics, identification, access- control, enforcement, digital identification, surveillance devices and face recognition (FR), defining the technique of human beings using facial imaging, is a multitude of hands-on applications. Coevolutionary neural networks (Cov-Nets) have proved to be efficient for FR, a type of deep networks. Any pre-processing procedures, such as sampling, must be taken for real-time systems prior to use in Cov-Nets. However, full images (all pixel values) are also transferred to Cov-Nets as input and all steps are performed by the network (feature collection, function filtering, training). That's why Cov-Nets is always difficult and time-consuming to introduce. Cov-Nets are at a rising level, with very little precision, but they have a high potential reach. This paper offers a new perspective on the use of a deep neural network for facial recognition. A new approach is being developed in this paper. In this approach, facial features that are extracted are provided as input instead of raw pixel values. This decreases the complexity and gives the Yale data set quality of 97.05 percent.

Published by: Anirban Chakraborty

Author: Anirban Chakraborty

Paper ID: V6I5-1243

Paper Status: published

Published: September 26, 2020

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