Browsing by Author "Rao, Shreyas Suresh"

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AIOT and big data analytics for smart healthcare applications
(Bentham Science, 2023) Rao, Shreyas Suresh
AIoT (Artificial Intelligence of Things) and Big Data Analytics are catalyzing a healthcare revolution. This book is an accessible volume that summarizes the information available. In this book, researchers explore how AIoT and Big Data can seamlessly integrate into healthcare, enhancing medical services and devices while adhering to established protocols. The book demonstrates the crucial role of these technologies during healthcare crises like the COVID-19 pandemic. It presents novel solutions and computational techniques powered by AIoT, Machine Learning, and Deep Learning, providing a new frontier in healthcare problem-solving.
An analysis of the psychological implications of covid-19 pandemic on undergraduate students and efforts on mitigation
(Springer, 2022-02) Rao, Shreyas Suresh
The whole world is combating the COVID-19 pandemic, which has affected mankind in enormous ways. To limit its pervasive expansion, many measures were taken up by the Indian government, as a result of which colleges were closed, and education was imparted through the online mode. The pandemic has induced psychological strain in the minds of students. The present study analyses the psychological impact of the COVID-19 pandemic on engineering undergraduates in south India, who are in the age group of 19 to 22. A survey from 365 students was analyzed during the second wave of COVID-19. Data revealed that although there is an overall increased awareness about the outbreak, there is a considerable inclination towards depression, anxiety, and stress in students. Amongst the participants, 116 (31.78%) screened positive for depression, 79 (21.64%) for anxiety, and 53 (14.52%) for stress. Besides, 46 (12.60%) participants had comorbid conditions, with moderate, severe, or extremely severe levels of stress, anxiety, and depression. The Center of Excellence in AI&ML at the study center implemented a multilingual chatbot to provide mental health support during the pandemic and deployed the bot in Facebook and Web modes.
Collaboration process for authentic assessment in technical education
(IEEE, 2015) Rao, Shreyas Suresh
Many countries have adopted Outcome based Education (OBE) as a measure of quality assurance in technical education. Traditional and authentic assessments aim at measuring student performance in OBE. While traditional assessments employ conventional methods of testing student knowledge, authentic assessments are more pragmatic and aim to integrate knowledge, attitudes of students in professional context. In hierarchy based educational system wherein a technological university affiliates multiple institutions, it is observed that there is no systematic collaboration process for authentic assessment. The paper proposes a solution to automate the collaboration process for authentic assessment between a university and its affiliated institutions.
Digital medicine assistant-health application for expiry tracking
(IEEE, 2021) Rao, Shreyas Suresh
Medicines play an important part in each and everyone's life where some of them relieve us from diseases, disorders or pains and some of them are very essential lifesaving ones. Some of them are rarely available and need to be priorly ordered in remote places and also some are very ex-pensive. One of the most common problems is that we all tend to miss the expiry of our medicines or sometimes the strips get ripped off and the information related to the tablet or the medicine becomes unavailable. Most of us spend our time writing down the same in notepads and waste time in labelling the medicines. For maintaining appropriate dosage infor-mation of the medicines, many try to organize their prescriptions but there are always chances of losing them. Notepads, keynotes and alarm reminders may be an easy solution that strikes to us at the first thought but is not efficient. There is no way of getting reminded about the expiry of any of the medi-cines that's written in a notepad. Many of the conventional apps provide a feature to get reminded about the medicines to be taken daily or provide a one-time notification for the expiry of the medicines that are in its entry which the users may clear off from the mobile's notification panel as a result of having a busy day. Also, most available applications provide an expiry tracking feature more in general than only for medicines. This paper is about an application that provides more convenient and effective solution to the problem and to the best of our knowledge is the first application designed to remind its user through reminder notifications about the expired and about to expire medicines.
ENTERPRISE ONTOLOGY MODEL FOR TACIT KNOWLEDGE EXTERNALIZATION IN SOCIO-TECHNICAL ENTERPRISES
(IJIKM, 2017) Rao, Shreyas Suresh
A vital business activity within socio-technical enterprises is tacit knowledge externalization, which elicits and explicates tacit knowledge of enterprise em-ployees as external knowledge. The aim of this paper is to integrate diverse as-pects of externalization through the Enterprise Ontology model
Erratum to “ROTA: A system for automated scheduling of nursing duties in a tertiary teaching hospital in south India
(Sage, 2021) Rao, Shreyas Suresh
Healthcare Delivery through Telemedicine during the COVID-19 Pandemic: Case Study from a Tertiary Care Center in South India
(Taylor & Francis, 2021) Rao, Shreyas Suresh
The Coronavirus disease 2019 (COVID-19) pandemic has necessitated medical centers across the world to deliver healthcare through telemedicine. We discuss the adoption, delivery of telemedicine services at a tertiary care center and patient satisfaction involving 456 patients in south India. Most respondents had sought telemedicine care at the department of Medicine (16.23%). The maximum satisfaction was reported by patients in OBG (100%). The responses were generally positive across all the age groups. The paper offers insights on best practices adopted at the center, lessons learnt, and provides recommendations for health care systems offering telemedicine during COVID-19 times.
Internet of Things and Web Services for Handling Pandemic Challenges
(Springer, 2021-10) Rao, Shreyas Suresh
Within the past few months, the COVID-19 pandemic has disrupted millions of lives and caused unforeseen economic damage, whose impact is both significant and far-reaching. There is an immediate need to utilize emerging technologies across various industries to fight the pandemic in this light. Internet of Things (IoT) and Web Services (Cloud services) are two such technologies that provide promising solutions to combat the virus outbreak. To monitor, track, and control the spread of viruses during the pandemic, IoT and similar sensor-based technologies have been employed. Innovative technologies that enable monitoring of health delivers live observation by using smart devices to monitor the health and can handle remotely with support of cloud and Artificial Intelligence. The HMS establishes a secure remote monitoring system between patients and doctors, facilitating telehealth services to be rendered. For tracking, the HMS uses a combination of personal health data and social data in real-time, enabled through technologies such as Machine Learning, distributed Cloud computing, and AI-based speech recognition. Because of lightweight Application Programming Interfaces (APIs) and edge computing capacity, the IoT-enabled HMS is now accessible through mobile apps and web-based applications. Web services are playing an integral role in Industry’s response to fight the global pandemic. To access the data on the COVID-19 provided by World Health Organization a separate interface is provided over a web service. Some other RESTful APIs to track COVID-19 include: CORD-19, deployed on Vespa Cloud, that enables search and navigation on Open Research Dataset; CoronaTab that provides localized health information; COVID-19 India API sourced from the Ministry of Health and Family Welfare that retrieves case counts, testing statistics and hospital data from the Indian subcontinent. Cloud-based services are employed to support remote work-from-home operations, e-commerce, retail, healthcare, and entertainment segments, to name a few. Enterprises effectively use cloud services to build robust and disaster-averse networks worldwide to respond to a distributed workforce and protect data and business applications’ integrity. Another sector is the energy and utility verticals, which uses IT service management (PaaS and SaaS) and infrastructure (IaaS) for digital transformation during this pandemic. This chapter discusses how IoT and Web services support handling global COVID-19 challenges, especially in Healthcare, retail, and social sectors.
Management and Architecture for Product Bundle Life Cycle in Retail Banking
(IJERT, 2013) Rao, Shreyas Suresh
In this paper, a product bundle life cycle is proposed for retail line of business in banking enterprise. Product bundling involves grouping together different products or services belonging to the same or different lines of business in a bank and offering the bundle to the customer of the bank. The proposed approach helps banks to understand product bundle life cycle and thereby implement a product bundle. Bundle life cycle encompasses the stages of planning, creation, maintenance and reporting of product bundle. The paper also proposes a Service oriented architecture to achieve product bundling in retail enterprise
Ontology enabled disaster management web service using data integration
(IJCSE, 2022) Rao, Shreyas Suresh
Meteorological disasters caused by extreme weather may result in damage to infrastructure, transport, livelihood, agro-industries and affects the overall economy of a country. To reduce losses due to disasters, an effective information retrieval system is required with the capability of dissemination of information about preparedness and an early warning to the disaster management authorities as well as individuals caught in the disaster. The paper presents an implementation of a web service that demonstrates archival and dissemination of disaster-related information, alerts to users in a platform-independent and machine-friendly manner. The proposed Web service processes MOSDAC INSAT3D satellite data. MOSDAC (Meteorological and Oceanographic Satellite Data Archival Centre) is a data repository of the Indian Space Research Organization (ISRO) and Government of India that deals with meteorology, oceanography, and tropical water cycles. The proposed implementation of web service aims to disseminate rainfall data at a location, provide information about nearby places (e.g., airport, hotels, hospitals, information centers, etc.), and give specific location details (e.g., elevation, population, humidity, high-temp, low temp). Web service demonstrates the capability of dissemination of alerts, early warning related to rainfall, and information required to prepare better rescue plans, which will help individuals as well as disaster management authorities for disaster management.
An Overall Perspective on Establishing End-to-End Security in Enterprise IoT (E-IoT)
(Springer, 2020-06) Rao, Shreyas Suresh
With the increase of Internet of Things (IoT) applications, the number of devices communicating over the Internet is also increasing. These devices are generating numerous amounts of sensitive data that are being communicated over an unprotected network. The manufacturers are providing the least preferences for the device-level security due to resource-constrained properties of the IoT devices. The existing research has shown large computational cryptographic solutions that both consume power and occupy more space on the device. Thereby, it is required to develop lightweight cryptographic solutions that are suitable for low-powered resources of IoT applications. In this chapter, a detailed study of various attacks that can be encountered on various layers of IoT architecture is generalized with possible lightweight measures. Also, threat modeling using Microsoft’s threat modeling tool is explained that helps in the early identification of threats in IoT applications. Finally, security practices that should be followed by enterprise IoT are covered.
ROTA: A system for automated scheduling of nursing duties in a tertiary teaching hospital in south India
(Sage, 2021-04) Rao, Shreyas Suresh
The nursing schedule generation is an important activity that takes a considerable amount of time for managers to prepare and amend. It involves the optimal allocation of nurses to shifts, factoring various constraints like shift timings, holidays, leaves, and emergencies. This paper provides the design and development details for an automated nurse scheduling system called “ROTA,” implemented for a 2032 bed multi-specialty tertiary teaching hospital, having 1800 staff nurses and 98 wards. The system generates daily, weekly, monthly schedules, nurse face sheets, duty allocation charts, swapping schedules, and training details for nurses. The system improved managerial control and saved a considerable amount of time for nurses to prepare the schedule. A survey conducted to gauge the system’s satisfaction level showed that 91% of nurses were satisfied with ROTA. Overall, the system saved 78% of nurse scheduling time, resulting in a 3% cost reduction for the hospital.
Semantic SPA framework for situational student-project allocation in education
(Inder Science, 2020) Rao, Shreyas Suresh
Web 3.0 technologies have redefined the way classical problems in education are solved. The classical problems are constrained by interoperability challenges that can be addressed using semantic technologies. Student-project allocation (SPA) is one such classical problem in education, whose solution lies in finding a stable matching between student-project pairs. Although many methods exist to solve the SPA problem, recent developments in higher education, such as globalisation, has triggered interoperability challenge because of diversity in student and expert availability across disciplines, campuses, and universities. The author proposes the semantic SPA framework that addresses the interoperability challenge, by leveraging the existing semantic investments made by the educational institutions. The framework standardises the SPA data elements formally using semantic Web concepts, proposes reference ontology for the situational SPA problem, and adopts a semantic Web service approach, using OWL-S, for development. The OWL-S specification enables the automatic discovery, composition, and invocation of the Web services by educational Institutions or semantic agents on the Web, for situational SPA scenarios.
Smart assistance and real-time alert generation for mental health care using aiot
(IGI Global, 2025) Rao, Shreyas Suresh
The percentage of senior citizens who stay alone is increasing day by day all over the world. Isolation and loneliness may lead to mental disorders like depression, alcohol addiction, irregular sleep, anxiety, and Alzheimer's.The proposed system aims to improve the planning of health care, provision of long-term self-care, and remote assistance and monitoring services for elderly individuals living alone. The proposed approach addresses the issue of mental health, thereby ensuring privacy, anonymity, and ease of access. The proposed system aims to provide i) voice/text-based assistance ii) identification of the patterns based on images/video uploaded iii) Chabot assistance iv) recommendations for healing based on audio/video/chat.Proposed automation is intended to improve the mental health care of the individuals and address the need to ensure quick treatment. This strategy opens up opportunities for more efficient and individualized mental health care in the digital era by improving early intervention capabilities and providing clients and caregivers with useful insights.
A study on psychological implications of COVID-19 on nursing professionals
(Taylor & Francis, 2021) Rao, Shreyas Suresh
The World Health Organization declared COVID-19 as a pandemic on 11 March, 2020, followed by an unprecedented global increase of the disease in recent times. Healthcare workers, including Nursing Professionals (NP), are more likely to experience psychological distress during the pandemic. The purpose of the study is to examine the stress, depression, and anxiety experienced by the nursing professionals in India, who provide care to COVID positive patients.
A Web 2.0-based internal crowdsourcing solution for tacit knowledge externalisation in enterprises
(Inder Science, 2018-02) Rao, Shreyas Suresh
Tacit knowledge externalisation (TKE) is a vital business process used in decision-making, business innovation and problem-solving activities within an enterprise. The paper proposes a Web 2.0-based internal crowdsourcing workflow that provides a generic and flexible structure for the process of externalisation. The workflow comprises crowd creation, crowd opinion, crowd voting, crowd wisdom and crowd learning phases, which encompass knowledge elicitation, sharing and utilisation activities that occur during the externalisation process. The workflow is implemented as an ASP.NET web application titled TKApp, measured using the certainty-factor model and demonstrated for a decision-making scenario in a start-up company. Additionally, the core logic of the workflow is developed as a SOAP-based web service and deployed publicly, thus empowering any enterprise to reuse the service for externalisation purposes.