The Technologies That Disappear: 30 Years after Mark Weiser's Vision

A special issue of Electronics (ISSN 2079-9292). This special issue belongs to the section "Computer Science & Engineering".

Deadline for manuscript submissions: closed (31 December 2021) | Viewed by 6881

Special Issue Editors


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Guest Editor
ISTI-CNR, Institute of Information Science and Technologies, 56124 Pisa, Italy
Interests: ambient intelligence; crowdsensing; pervasive computing
Special Issues, Collections and Topics in MDPI journals

E-Mail Website
Guest Editor
ISTI-CNR, National Council of Research, Pisa, Italy
Interests: IoT; M2M communications; platforms for sensor data acquisition and processing

Special Issue Information

Dear Colleagues,

About 30 years ago, Mark Weiser envisioned a future in which “the most profound technologies are those that disappear”. Since 1990, a lot of electronics have been proposed, with some of them still affecting positively our daily life, while others have been abandoned or drastically updated. However, during this long journey, researchers, the maker community, and the industry have changed the way they design hardware or and software component: the user has to be the first beneficiary of such inventions.

With this Special Issue, we aim to collect novel contributions from researchers and industry players in the field of the Ambient Intelligence with the goal of describing how electronic components have been adopted to design applications targeted at end-users. In particular, we look for hardware and software designs providing new services for users, in order to improve their life quality at home or, more generally, in places where users live and interact with others. Our focus is also on the use of commercial-wearable electronics that can be used for such applications, by providing evidence of a concrete implementation of the ubiquitous computing paradigm proposed the last decade of 90’ years.

Dr. Michele Girolami
Dr. Davide La Rosa
Guest Editors

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Keywords

  • Ambient Intelligence (AmI) services
  • IoT technologies for AmI services
  • Wearable and portable electronics
  • Consumer electronics and hardware design
  • Ultra-low power machine learning at the edge
  • Pilot sites and real-world deployment of AmI services
  • Testbeds, applications, case studies
  • Hardware and software architecture for edge computing and crowdsensing
  • Tools for data fusion and analytics and their adoption
  • Artificial Intelligence methods
  • Cyberphysical systems

Published Papers (3 papers)

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Research

15 pages, 508 KiB  
Article
Testing the Scalability of the HS-AUTOFIT Tool in a High-Performance Computing Environment
by Giuseppe Di Modica, Luca Evangelisti, Luca Foschini, Assimo Maris and Sonia Melandri
Electronics 2021, 10(18), 2251; https://doi.org/10.3390/electronics10182251 - 13 Sep 2021
Cited by 3 | Viewed by 1642
Abstract
In the last years, the development of broadband chirped-pulse Fourier transform microwave spectrometers has revolutionized the field of rotational spectroscopy. Currently, it is possible to experimentally obtain a large quantity of spectra that would be difficult to analyze manually due to two main [...] Read more.
In the last years, the development of broadband chirped-pulse Fourier transform microwave spectrometers has revolutionized the field of rotational spectroscopy. Currently, it is possible to experimentally obtain a large quantity of spectra that would be difficult to analyze manually due to two main reasons. First, recent instruments allow obtaining a considerable amount of data in very short times, and second, it is possible to analyze complex mixtures of molecules that all contribute to the density of the spectra. AUTOFIT is a spectral assignment software application that was developed in 2013 to support and facilitate the analysis. Notwithstanding the benefits AUTOFIT brings in terms of automation of the analysis of the accumulated data, it still does not guarantee a good performance in terms of execution time because it leverages the computing power of a single computing machine. To cater to this requirement, we developed a parallel version of AUTOFIT, called HS-AUTOFIT, capable of running on high-performance computing (HPC) clusters to shorten the time to explore and analyze spectral big data. In this paper, we report some tests conducted on a real HPC cluster aimed at providing a quantitative assessment of HS-AUTOFIT’s scaling capabilities in a multi-node computing context. The collected results demonstrate the benefits of the proposed approach in terms of a significant reduction in computing time. Full article
(This article belongs to the Special Issue The Technologies That Disappear: 30 Years after Mark Weiser's Vision)
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13 pages, 402 KiB  
Article
Blockchain-Based Pseudonym Management Scheme for Vehicular Communication
by Sonia Alice George, Steffie Maria Stephen and Arunita Jaekel
Electronics 2021, 10(13), 1584; https://doi.org/10.3390/electronics10131584 - 30 Jun 2021
Cited by 7 | Viewed by 2120
Abstract
A vehicular ad hoc network (VANET) consists of vehicles, roadside units, and other infrastructures that communicate with each other with the goal of improving road safety, reducing accidents, and alleviating traffic congestion. For safe and secure operation of critical applications in VANET, it [...] Read more.
A vehicular ad hoc network (VANET) consists of vehicles, roadside units, and other infrastructures that communicate with each other with the goal of improving road safety, reducing accidents, and alleviating traffic congestion. For safe and secure operation of critical applications in VANET, it is essential to ensure that only authenticated vehicles can participate in the network. Another important requirement for VANET communication is that the privacy of vehicles and their users must be protected. Privacy can be improved by using pseudonyms instead of actual vehicle identities during communication. However, it is also necessary to ensure that these pseudonyms can be linked to the real vehicle identities if needed, in order to maintain accountability. In this paper, we propose a new blockchain-based decentralized pseudonym management scheme for VANET. This allows the vehicles to maintain conditional anonymity in the network. The blockchain is used to maintain a record of each vehicle and all of its pseudo-IDs. The information in the blockchain can only be accessed by authorized entities and is not available to all vehicles. The proposed distributed framework maintains an immutable record of the vehicle data, which is not vulnerable to a single point of failure. We compared the performance of the proposed approach with a traditional PKI scheme and shown that it significantly reduces the authentication delay. Full article
(This article belongs to the Special Issue The Technologies That Disappear: 30 Years after Mark Weiser's Vision)
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20 pages, 1020 KiB  
Article
An Agent-Based Approach to Realize Emergent Configurations in the Internet of Things
by Fahed Alkhabbas, Romina Spalazzese and Paul Davidsson
Electronics 2020, 9(9), 1347; https://doi.org/10.3390/electronics9091347 - 20 Aug 2020
Cited by 7 | Viewed by 2176
Abstract
The Internet of Things (IoT) has enabled physical objects and devices, often referred to as things, to connect and communicate. This has opened up for the development of novel types of services that improve the quality of our daily lives. The dynamicity and [...] Read more.
The Internet of Things (IoT) has enabled physical objects and devices, often referred to as things, to connect and communicate. This has opened up for the development of novel types of services that improve the quality of our daily lives. The dynamicity and uncertainty of IoT environments, including the mobility of users and devices, make it hard to foresee at design time available things and services. Further, users should be able to achieve their goals seamlessly in arbitrary environments. To address these challenges, we exploit Artificial Intelligence (AI) to engineer smart IoT systems that can achieve user goals and cope with the dynamicity and uncertainty of their environments. More specifically, the main contribution of this paper is an approach that leverages the notion of Belief-Desire-Intention agents and Machine Learning (ML) techniques to realize Emergent Configurations (ECs) in the IoT. An EC is an IoT system composed of a dynamic set of things that connect and cooperate temporarily to achieve a user goal. The approach enables the distributed formation, enactment, adaptation of ECs, and conflict resolution among them. We present a conceptual model of the entities of the approach, its underlying processes, and the guidelines for using it. Moreover, we report about the simulations conducted to validate the feasibility of the approach and evaluate its scalability. Full article
(This article belongs to the Special Issue The Technologies That Disappear: 30 Years after Mark Weiser's Vision)
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