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Journal of Engineering Education Transformations ; 36(2):20-30, 2022.
Article in English | Scopus | ID: covidwho-2145645

ABSTRACT

The sudden impact of Covid19 in India coincided with the NAAC assessment submission decision at Sreyas Institute of Engineering & Technology at Hyderabad, India. Institute decided to document the upgraded National Assessment and Accreditation Council (NAAC) version and submit it to the NAAC board during February 2020;Covid19 started spreading in India. By March first week, a total lockdown started, and all educational institutions were closed. Along with quickly adapting to online classes, online examinations for the benefit of student's the staff also adopted the online media to complete the NAAC documentation as per the new standards laid by NAAC. To motivate the staff, who were technically knowledgeable, a lateral thinking approach was adopted. The criteria aspects were mapped to the socio, spiritual, scientific, and management aspects to bring the group together to focus on achieving their common goal for the institute of achieving the assessment and approval of the upgraded NAAC procedures and standards. Within the Covid locked down period of about five months, the required five years of data of all aspects of all criteria were collected with co-operation among the staff, and the submission was completed in September of 2020. This report is to focus on the mind mapping used initially to bring the faculty team together for preparing the NAAC Document. All seven criteria of the NAAC system were mapped to socio, scientific and spiritual practices through which all humans were brought up. The relationship is communicated via zoom meetings to all staff and the criteria in charge. Commitment improved as they related the known imbibed knowledge they possessed. © 2022, Rajarambapu Institute Of Technology. All rights reserved.

2.
Machine Learning Methods for Signal, Image and Speech Processing ; : 1-230, 2021.
Article in English | Scopus | ID: covidwho-1980644

ABSTRACT

The signal processing (SP) landscape has been enriched by recent advances in artificial intelligence (AI) and machine learning (ML), yielding new tools for signal estimation, classification, prediction, and manipulation. Layered signal representations, nonlinear function approximation and nonlinear signal prediction are now feasible at very large scale in both dimensionality and data size. These are leading to significant performance gains in a variety of long-standing problem domains like speech and Image analysis. As well as providing the ability to construct new classes of nonlinear functions (e.g., fusion, nonlinear filtering). This book will help academics, researchers, developers, graduate and undergraduate students to comprehend complex SP data across a wide range of topical application areas such as social multimedia data collected from social media networks, medical imaging data, data from Covid tests etc. This book focuses on AI utilization in the speech, image, communications and yirtual reality domains. © 2021 River Publishers. All rights reserved.

3.
2020 International Conference on Decision Aid Sciences and Application, DASA 2020 ; : 860-866, 2020.
Article in English | Scopus | ID: covidwho-1091140

ABSTRACT

An outburst of Covid-19, a new disease by coronavirus has been noted by December 2019 in China and subsequently this Covid-19 spread throughout the world. The serious effect of this disease causes death due to the failure of respiratory system of human. Nowadays the spreading of the coronavirus is uncontrollable especially in crowded places as well as due to avoiding the protocols given by world health organization (WHO) to reduce the spread of COVID-19. Many researchers have involved in identifying vaccine for giving proper treatment to the affected people and to avoid further spreading. In addition, with this some other researchers have also involved in using modern technologies to prevent the spreading of Covid-19 as well as to identify the disease in very earlier stage and to reduce the rate of death. One of the modern systems recommended by the researchers is that smartwatch. By using smartwatches, the user's body temperature, heart rate and blood pressure can be measured, and the smartwatch can be automatically charged by body heat. This kind of smartwatches can be controlled by chatbot Google Assistant. This paper discusses the design, principle of operation and features of different smartwatches and their usage. Based on the analysis, it is identified that the availability of recent cost-effective developments of smartwatches are available on reducing spread of Covid-19. © 2020 IEEE.

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