Paraimpu

Pintus, Antonio; Carboni, Davide; Piras, A.

doi:10.1145/2187980.2188059

Cited by 76 publications

(4 citation statements)

References 1 publication

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“…Among them we can mention a MDD approach for the analysis of IoT applications via simulation [27]. Prehofer and Chiarabini [28] compared the model-based and mashup approaches, considering tools and methodologies for the development of IoT applications, using UML and Paraimpu [29]. Again, our approach is working on orthogonal aspects with respect to these issues.…”

Section: Related Workmentioning

confidence: 99%

Model-driven development of user interfaces for IoT systems via domain-specific components and patterns

Brambilla

Umuhoza

Acerbis³

2017

J Internet Serv Appl

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Internet of Things technologies and applications are evolving and continuously gaining traction in all fields and environments, including homes, cities, services, industry and commercial enterprises. However, still many problems need to be addressed. For instance, the IoT vision is mainly focused on the technological and infrastructure aspect, and on the management and analysis of the huge amount of generated data, while so far the development of front-end and user interfaces for IoT has not played a relevant role in research. On the contrary, user interfaces can play a key role in the acceptance of IoT solutions by final adopters. In this paper we discuss the requirements and usage scenarios covering the front end aspects of IoT systems and we present a model-driven approach to the design of such interfaces by: defining specific components and design patterns using a visual modeling language for IoT applications; describing an implementation of the solution that comprises also automatic code generation from models; and by showing the solution at work.

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Section: Related Workmentioning

confidence: 99%

Model-driven development of user interfaces for IoT systems via domain-specific components and patterns

Brambilla

Umuhoza

Acerbis³

2017

J Internet Serv Appl

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“…Its main emphasis is on sharing of IoT data on the Web. You can interconnect most of your sensors to appliances or social media such as Facebook and Twitter [3]. Paraimpu also allows other people to integrate your IoT data with their own Things via a rule engine.…”

Section: Paraimpumentioning

confidence: 99%

“…A sensor must only be attached to an actuator and if you want to have a second actuator for the the same connection, you must make a separate rule to achieve it. Another problem with Paraimpu is that because the site is still in development, you are limited to certain number of sensors and actuators at one time on the site [3]. Finally, there is a limited type of sensors that are currently supported and if you want more type of sensors to be added, you have to use a third party web service Xively to do so.…”

Section: Paraimpumentioning

confidence: 99%

Flexible IoT Middleware for Integration of Things and Applications

Boman¹,

Taylor²,

Ngu³

2014

Proceedings of the 10th IEEE International Conference on Collaborative Computing: Networking, Applications and Worksharing

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The Internet of Things (IoT) is a rapidly growing system of physical sensors and connected devices, enabling an advanced information gathering, interpretation and monitoring. However, IoT must be supported by a middleware that allows IoT consumers and IoT application developers to interact in a user-friendly way, despite the differences in each user's perspective of IoT system. To that end, our software attempts to bridge the gap between IoT consumers and IoT application developers. Through the coupling of GSN (an existing open source IoT middleware), Firebase (a cloud storage service), and an IoT data interpreter developed by us, we have created a software system that takes the first step towards an ubiquitous middleware for IoT.

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“…When things are not only internet-connected, but addressable via Web links or URLs (the Uniform Resource Locators), and communicate via Web protocols (e.g., using the Hypertext Transfer Protocol (HTTP)) the so-called Web of Things (https://www.w3.org/WoT/, accessed on 1 July 2021) emerges. An example of early work on the social Web of Things is the Paraimpu platform [5].…”

Section: Introductionmentioning

confidence: 99%

Achieving Ethical Algorithmic Behaviour in the Internet of Things: A Review

Loke

2021

IoT

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The Internet of Things is emerging as a vast, inter-connected space of devices and things surrounding people, many of which are increasingly capable of autonomous action, from automatically sending data to cloud servers for analysis, changing the behaviour of smart objects, to changing the physical environment. A wide range of ethical concerns has arisen in their usage and development in recent years. Such concerns are exacerbated by the increasing autonomy given to connected things. This paper reviews, via examples, the landscape of ethical issues, and some recent approaches to address these issues concerning connected things behaving autonomously as part of the Internet of Things. We consider ethical issues in relation to device operations and accompanying algorithms. Examples of concerns include unsecured consumer devices, data collection with health-related Internet of Things, hackable vehicles, behaviour of autonomous vehicles in dilemma situations, accountability with Internet of Things systems, algorithmic bias, uncontrolled cooperation among things, and automation affecting user choice and control. Current ideas towards addressing a range of ethical concerns are reviewed and compared, including programming ethical behaviour, white-box algorithms, black-box validation, algorithmic social contracts, enveloping IoT systems, and guidelines and code of ethics for IoT developers; a suggestion from the analysis is that a multi-pronged approach could be useful based on the context of operation and deployment.

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Paraimpu

Cited by 76 publications

References 1 publication

Model-driven development of user interfaces for IoT systems via domain-specific components and patterns

Model-driven development of user interfaces for IoT systems via domain-specific components and patterns

Flexible IoT Middleware for Integration of Things and Applications

Achieving Ethical Algorithmic Behaviour in the Internet of Things: A Review

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