3,245 research outputs found
Middleware Technologies for Cloud of Things - a survey
The next wave of communication and applications rely on the new services
provided by Internet of Things which is becoming an important aspect in human
and machines future. The IoT services are a key solution for providing smart
environments in homes, buildings and cities. In the era of a massive number of
connected things and objects with a high grow rate, several challenges have
been raised such as management, aggregation and storage for big produced data.
In order to tackle some of these issues, cloud computing emerged to IoT as
Cloud of Things (CoT) which provides virtually unlimited cloud services to
enhance the large scale IoT platforms. There are several factors to be
considered in design and implementation of a CoT platform. One of the most
important and challenging problems is the heterogeneity of different objects.
This problem can be addressed by deploying suitable "Middleware". Middleware
sits between things and applications that make a reliable platform for
communication among things with different interfaces, operating systems, and
architectures. The main aim of this paper is to study the middleware
technologies for CoT. Toward this end, we first present the main features and
characteristics of middlewares. Next we study different architecture styles and
service domains. Then we presents several middlewares that are suitable for CoT
based platforms and lastly a list of current challenges and issues in design of
CoT based middlewares is discussed.Comment: http://www.sciencedirect.com/science/article/pii/S2352864817301268,
Digital Communications and Networks, Elsevier (2017
Middleware Technologies for Cloud of Things - a survey
The next wave of communication and applications rely on the new services
provided by Internet of Things which is becoming an important aspect in human
and machines future. The IoT services are a key solution for providing smart
environments in homes, buildings and cities. In the era of a massive number of
connected things and objects with a high grow rate, several challenges have
been raised such as management, aggregation and storage for big produced data.
In order to tackle some of these issues, cloud computing emerged to IoT as
Cloud of Things (CoT) which provides virtually unlimited cloud services to
enhance the large scale IoT platforms. There are several factors to be
considered in design and implementation of a CoT platform. One of the most
important and challenging problems is the heterogeneity of different objects.
This problem can be addressed by deploying suitable "Middleware". Middleware
sits between things and applications that make a reliable platform for
communication among things with different interfaces, operating systems, and
architectures. The main aim of this paper is to study the middleware
technologies for CoT. Toward this end, we first present the main features and
characteristics of middlewares. Next we study different architecture styles and
service domains. Then we presents several middlewares that are suitable for CoT
based platforms and lastly a list of current challenges and issues in design of
CoT based middlewares is discussed.Comment: http://www.sciencedirect.com/science/article/pii/S2352864817301268,
Digital Communications and Networks, Elsevier (2017
Internet of things in health: Requirements, issues, and gaps
Background and objectives: The Internet of Things (IoT) paradigm has been extensively applied to several sectors in the last years, ranging from industry to smart cities. In the health domain, IoT makes possible new scenarios of healthcare delivery as well as collecting and processing health data in real time from sensors in order to make informed decisions. However, this domain is complex and presents several tech- nological challenges. Despite the extensive literature about this topic, the application of IoT in healthcare scarcely covers requirements of this sector. Methods: A literature review from January 2010 to February 2021 was performed resulting in 12,108 articles. After filtering by title, abstract, and content, 86 were eligible and examined according to three requirement themes: data lifecycle; trust, security, and privacy; and human-related issues. Results: The analysis of the reviewed literature shows that most approaches consider IoT application in healthcare merely as in any other domain (industry, smart citiesâŚ), with no regard of the specific requirements of this domain. Conclusions: Future effort s in this matter should be aligned with the specific requirements and needs of the health domain, so that exploiting the capabilities of the IoT paradigm may represent a meaningful step forward in the application of this technology in healthcare.ConsejerĂa de Conocimiento, InvestigaciĂłn y Universidad, Junta de AndalucĂa P18-TPJ - 307
Cooperative Human-Centric Sensing Connectivity
Human-centric sensing (HCS) is a new concept relevant to Internet of Things (IoT). HCS connectivity, referred to as âsmart connectivity,â enables applications that are highly personalized and often time-critical. In a typical HCS scenario, there may be many hundreds of sensor stream connections, centered around the human, who would be the determining factor for the number, the purpose, the direction, and the frequency of the sensor streams. This chapter examines the concepts of HCS communications, outlines the challenges, and defines a roadmap for solutions for realizing HCS networks. This chapter is organized as follows. Section 1 introduces the concept of cooperation in information and communications technologies (ICT), and in the context of IoT. Section 2 discusses cooperation in the context of the personal and extra-personal user space and identifies the remaining open challenges and requirements for realizing the benefits of this approach to enabling more resources and services in a hyper-connected society. Section 3 defines a roadmap toward realizing simple, efficient, and trustable systems based on advanced technologies combining security, cloud, and IoT/big data technologies and outlines the challenges related to this vision. Section 4 concludes the chapter
Taxation and regulation of smoking, drinking and gambling in the European Union
Smoking is the single largest cause of avoidable death in the European Union accounting for over half a million deaths each year. One in ten of all 11-year olds have been drunk twice or more times, possibly causing lasting physical and mental harm. Electronic gaming machines are the crack cocaine of gambling. Consumer sovereignty, on the other hand, indicates that people should be allowed to smoke as long as they do not harm others. There is sound medical evidence, furthermore, that a drink each day keeps the doctor away, while recreational gambling can be an enjoyable form of entertainment for many people. These and other salient facts about the harmful and positive effects of smoking, drinking and gambling provide the background for a dispassionate economic analysis of the taxation and regulation of these activities. The main message the studies convey is that it would be unrealistic to rely solely on duty levels and differentiation to curb abusive use. Duty levels do have a clear impact in restraining consumption by children and young adults - an important priority for policy. But complementary policies - including direct regulation and provision of information - also have a meaningful role to play in each of the markets for tobacco, alcohol and gambling.
Visual anemometry: physics-informed inference of wind for renewable energy, urban sustainability, and environmental science
Accurate measurements of atmospheric flows at meter-scale resolution are
essential for a broad range of sustainability applications, including optimal
design of wind and solar farms, safe and efficient urban air mobility,
monitoring of environmental phenomena such as wildfires and air pollution
dispersal, and data assimilation into weather and climate models. Measurement
of the relevant microscale wind flows is inherently challenged by the optical
transparency of the wind. This review explores new ways in which physics can be
leveraged to "see" environmental flows non-intrusively, that is, without the
need to place measurement instruments directly in the flows of interest.
Specifically, while the wind itself is transparent, its effect can be visually
observed in the motion of objects embedded in the environment and subjected to
wind -- swaying trees and flapping flags are commonly encountered examples. We
describe emerging efforts to accomplish visual anemometry, the task of
quantitatively inferring local wind conditions based on the physics of observed
flow-structure interactions. Approaches based on first-principles physics as
well as data-driven, machine learning methods will be described, and remaining
obstacles to fully generalizable visual anemometry will be discussed.Comment: In revie
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