Ubiquitous patient monitoring and smart alert generation in an intensive care unit supported by low cost Tablet PC based automation system powered through open source software and hardware platforms

Author(s):  
Joms Antony ◽  
Bichu Vijayan ◽  
Sudhin Joy ◽  
G S Santhoshkumar ◽  
Nikhil Chandran
2021 ◽  
Vol 10 (1) ◽  
pp. 13
Author(s):  
Claudia Campolo ◽  
Giacomo Genovese ◽  
Antonio Iera ◽  
Antonella Molinaro

Several Internet of Things (IoT) applications are booming which rely on advanced artificial intelligence (AI) and, in particular, machine learning (ML) algorithms to assist the users and make decisions on their behalf in a large variety of contexts, such as smart homes, smart cities, smart factories. Although the traditional approach is to deploy such compute-intensive algorithms into the centralized cloud, the recent proliferation of low-cost, AI-powered microcontrollers and consumer devices paves the way for having the intelligence pervasively spread along the cloud-to-things continuum. The take off of such a promising vision may be hurdled by the resource constraints of IoT devices and by the heterogeneity of (mostly proprietary) AI-embedded software and hardware platforms. In this paper, we propose a solution for the AI distributed deployment at the deep edge, which lays its foundation in the IoT virtualization concept. We design a virtualization layer hosted at the network edge that is in charge of the semantic description of AI-embedded IoT devices, and, hence, it can expose as well as augment their cognitive capabilities in order to feed intelligent IoT applications. The proposal has been mainly devised with the twofold aim of (i) relieving the pressure on constrained devices that are solicited by multiple parties interested in accessing their generated data and inference, and (ii) and targeting interoperability among AI-powered platforms. A Proof-of-Concept (PoC) is provided to showcase the viability and advantages of the proposed solution.


Sensors ◽  
2021 ◽  
Vol 21 (3) ◽  
pp. 726
Author(s):  
Francisco J. Gómez-Uceda ◽  
José Ramirez-Faz ◽  
Marta Varo-Martinez ◽  
Luis Manuel Fernández-Ahumada

In this work, an omnidirectional sensor that enables identification of the direction of the celestial sphere with maximum solar irradiance is presented. The sensor, based on instantaneous measurements, functions as a position server for dual-axis solar trackers in photovoltaic plants. The proposed device has been developed with free software and hardware, which makes it a pioneering solution because it is open and accessible as well as capable of being improved by the scientific community, thereby contributing to the rapid advancement of technology. In addition, the device includes an algorithm developed ex professo that makes it possible to predetermine the regions of the celestial sphere for which, according to the geometric characteristics of the PV plant, there would be shading between the panels. In this way, solar trackers do not have to locate the Sun’s position at all times according to astronomical models, while taking into account factors such as shadows or cloudiness that also affect levels of incident irradiance on solar collectors. Therefore, with this device, it is possible to provide photovoltaic plants with dual-axis solar tracking with a low-cost device that helps to optimise the trajectory of the trackers and, consequently, their radiative capture and energy production.


2016 ◽  
Vol 12 (04) ◽  
pp. 27 ◽  
Author(s):  
Caroline Porto Antonio ◽  
João Paulo Lima ◽  
João Bosco Alves ◽  
Juarez Bento Silva ◽  
José Pedro Simão

This paper presents an educational tool based on open source software and low cost hardware to supplement science teaching, merging concepts of remote experiment, virtual worlds and virtual learning environment. Using an avatar, students can move around in an enriched environment and access a remote microscope that enables visualization of plant parts and interaction with the available samples.


2018 ◽  
Vol 38 (8) ◽  
pp. 1030-1038 ◽  
Author(s):  
Taibo Li ◽  
Minoru Matsushima ◽  
Wendy Timpson ◽  
Susan Young ◽  
David Miedema ◽  
...  

2012 ◽  
pp. 26-40
Author(s):  
Bhasker Mukerji ◽  
Ramaraj Palanisamy

The popularity of Open Source Software (OSS) in developing countries is quiet evident from its widespread adoption across government departments and public sector organizations. The use of OSS saves economic resources of cash starved countries, provides an opportunity to promote e-government, and to utilize their resources in other sectors. Many developing countries have a large pool of skilled developers who can modify the source code of the OSS at a very low cost. Many governments in developing and developed countries have switched to OSS which probably encourages others to follow the trend. It was not possible to follow the adoption trend in all the developing countries but the usage of OSS in countries like India, Brazil, and Venezuela provides us an insight. The successful adoption of OSS requires thorough analysis of its advantages as well as the issues associated with it. This chapter will provide an overview of OSS, characteristics of OSS developers, and their motivation to volunteer by contributing in OSS projects, followed by the advantages and issues associated with OSS.


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