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Author: search.filters.author.Rao, Shreyas SureshSubject: search.filters.subject.Computer Science

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Now showing 1 - 10 of 16
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    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.
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    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.
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    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.
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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.
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    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.
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    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
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    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.
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    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.
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    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.