ABSTRACT
Schools have become increasingly influenced by what has been called the Social Internet of Things (SIoT). As many schools transitioned to online teaching and learning in 2020 because of the COVID-19 pandemic, there is a need to analyze data on technology adoption in schools for changes and continuity since the inception of increasingly popular smartphones since 2007 that has affected videoconferencing, blended learning, and the flipped classroom concept. In this study, videoconference technology is the main factor analyzed in relation to IoT and schools in which handheld devices are considered gateways to further integration of schools into an IoT framework. The researchers analyze a selection of a 2009 dataset and a 2019 dataset from the National Center for Education Statistics (United States) to discuss teachers' perceptions of technology, especially the use of handheld devices and videoconference technology. Recommendations for educator preparation programs (EPPs) are made based on the discussion of the results of this analysis in context with the events of 2020 for why EPPs could emphasize flipped classroom design models within an SIoT framework. © 2023 IEEE.
ABSTRACT
COVID-19 epidemic has changed many people's life. There has been an increase in cybercrime and cyber-attacks on infrastructure systems throughout the world. To reduce the impact of social alienation, a significant rise has been observed in the utilization and dependence on computers, handheld devices, and web to perform day-to-day activities like communication, work, online transactions for shopping, and medical diagnostics throughout the pandemic. Criminals were able to take advantage of new weaknesses generated because of movement of the work place to home for their own individual advantage. In a postpandemic world, ab roader and diverse cyber security approach is required to assure the well-being and continuation of crucial systems on which our mankind depends. This research work shows the preliminary design of the proposed solution, which is built based on the concept of Artificial Intelligence (AI) enabled self-replication system. © 2023 IEEE.
ABSTRACT
Technological advancements in medical field gave birth to smart watches, handheld devices that can read your vital signs real-time. However, home quarantined COVID-19 patients, even with the help of smartwatches, are still needed to be monitored physically by health practitioners, therefore posing a threat of transmission of the virus. This paved the way to the investigation of designing a wearable device that read health vital statistics and the location of home quarantined patients and a system that will remotely monitor it. Thus, this work developed Vitaband, a health-monitoring system made up of a node, gateway, and a web application. The node consists of sensors - pulse meter, oximeter, IR sensor and GPS module - that will read the vital signs of the patient and display it through an OLED screen. Two Raspberry Pico Pi microcontrollers will process the data gathered by these sensors and send them to the gateway through the Lora module. The gateway then, housing the ESP32 microcontroller, will connect to the internet and transmit the received data to the MongoDB database. The web application finally, which is programmed using REACT framework, shall display the data for remote monitoring. Vitaband is tested and evaluated using the ISO/IEC 25010 model. Results revealed that Vitaband received an overall rating of Very Satisfactory from the Bulacan State University Nursing student during their training as the respondents and Excellent from medical professionals which are registered nurses and barangay health workers, respectively. © 2022 IEEE.
ABSTRACT
Society is under tremendous tension and pressure due to the Coronavirus (COVID-19) pandemic. Coronavirus pandemic-2019 is a critical health emergency with respect to the international concern. Severe Acute Respiratory Syndrome Coronavirus (SARS-CoV-1) disease first came in 2002 and then Middle East Respiratory Syndrome Coronavirus (MERS-CoV) affects us in 2012. SARS-CoV-2 is the third coronavirus to emerge in the past two decades, which are acting as a serious warning to humans. These pandemic presents major challenges to scientist and international medical agencies to save the earth by this global life-threatening pandemic. Fighting with these major issues, scientists and doctors pointed out the solutions for COVID and Related pandemics, in which the most populated solution, such as ultraviolet (UV)-based disinfection systems. This article is presenting a unique technology for the COVID-19 infected surfaces to either sides. The proposed research is the providing the solutions with the integration/merging of two different technologies in the portable form to provide a unique disinfection system to disinfect the infected/suspected surfaces by ‘Coronavirus disease’ from top and bottom side by exposing the specified samples like currencies/hand held devices/mobile phones/various types of cards, etc. According to the various literatures, ultraviolet-C light as well as 650 nm laser light has the power to destroy the COVID-19 and related viruses. The proposed system is developed to disinfect the above-mentioned items surfaces from COVID-19 like issues and has the ability to disinfect the items in few second (within 3–5 s). The proposed system has the capability to serve the nation at different level as it may be designed and developed in different sizes as per the application. This integrated technology can serve the society in most of the applications like, the major field for disinfection is food and agriculture sectors. © 2023, The Author(s), under exclusive license to Springer Nature Singapore Pte Ltd.
ABSTRACT
The COVID-19 pandemic has demonstrated the need for a more effective and efficient disinfection approach to combat infectious diseases. Ultraviolet germicidal irradiation (UVGI) is a proven mean for disinfection and sterilization and has been integrated into handheld devices and autonomous mobile robots. Existing UVGI robots which are commonly equipped with uncovered lamps that emit intense ultraviolet radiation suffer from: inability to be used in human presence, shadowing of objects, and long disinfection time. These robots also have a high operational cost. This paper introduces a cost effective germicidal system that utilizes UVGI to disinfect pathogens, such as viruses, bacteria, and fungi, on high contact surfaces (e.g. doors and tables). This system is composed of a team of 5-DOF mobile manipulators with end-effectors that are equipped with far-UVC excimer lamps. The design of the system is discussed with emphasis on path planning, coverage planning, and scene understanding. Evaluations of the UVGI system using simulations and irradiance models are also included. Please see the project's website for videos and simulations of the robot.1 © 2022 IEEE.
ABSTRACT
For drilling contractors, the moment of truth is the operations at the site. If the technician at the site encounters a problem he can't solve, then everything stops. The team has to wait for a subject matter expert (SME) to arrive at the site to diagnose rectify the problem. Such process of SME mobilization and till that time Non-Productive Time (NPT) results in loss of hundreds of thousands of dollars. Hence the key challenge is converting the Sparse to Adequate availability of Right Knowledge at Right Time at Right Place, for the support of technicians. This paper is focused on the approach of moving from Hand Held devices to Hands-Free environment at sites and connecting local/global support to site support systems, to reduce cost, improve HSE and enhance operational performance. The augmented reality technology-enabled, smart glass laced headsets are rugged, zone 1 certified, and are voice-operated which are better than smart tablets which were considered during Technology Qualification Process. Evaluation criteria were: 1. Availability and follow up of the digital work instruction while operating. Moreover, not missing a single step of work instruction while inspection or maintenance continues was noted carefully. 2. Reduced travel/accommodation cost: Normally at the time of shutdown, the rig crew contacts subject matter experts (SME) and (at times) in turn the SME contacts the OEM support team to mobilize service engineers globally. 3. Response time improvement-Availability of support by SME right at the time of need results from better response time to diagnose and fix the issue at hand. Call logging till final resolution process improvement is considered an important metric. Travel restrictions imposed by Covid-19, are also being addressed through the distanced inspection. A hands-free environment is compared vis a vis handheld device. Better training and knowledge transfer are achieved through better communication methods and this goes better with learning by doing. Subsequent text (NLP-speech to text) analysis is planned through deep learning models to derive related predictions. Sparse to Adequate availability of support to rig staff with Right Knowledge at Right Place at Right Time is the key outcome of this Proof of Value project. © Copyright 2021, Society of Petroleum Engineers
ABSTRACT
Statistics and ML set the base for AI;presently, radical advances are ongoing in deep neural networks. It has established great interest in science, medicine, and public health disciplines. Researchers demonstrated that DL can accomplish alongside the finest human clinicians in precise diagnostic tasks. There is an upsurge in innovative individual health examining via mobiles and net-based communications. AI-driven health-oriented apps are now employed on hand-held devices such as smartphones. The prospective impact of AI for health is majorly influenced by existing societal aspects. The past decade displayed the general diffusion of AI into health industries which has been eased by overall developments in computation power, machine processes along with congregation of health-related data due to EMRs, and health data tracking devices (e.g. smartphones, digital images, and genomic data). The chapter considers the influence of AI for better future of public health, community health, and healthcare delivery. It will further be concentrated on technical competencies, applications, and limitations. © 2021, The Author(s), under exclusive license to Springer Nature Singapore Pte Ltd.