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Information
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Ambient Intelligence Environments
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Ambient Intelligence Environments

A special issue of Information (ISSN 2078-2489). This special issue belongs to the section "Artificial Intelligence".

Deadline for manuscript submissions: closed (30 September 2018) | Viewed by 26002

Special Issue Editors

Dr. Michael O'Grady

E-Mail Website
Guest Editor
School of Computer Science, University College Dublin, Dublin, Ireland
Interests: ambient intelligence; pervasive computing; ubiquitous sensing
Special Issues, Collections and Topics in MDPI journals
Dr. Juan Ye

E-Mail Website
Guest Editor
School of Computer Science, University of St Andrews, North Haugh, St Andrews Fife, UK
Interests: human activity recognition; sensor data analysis, smart environments; context awareness; uncertainty reasoning; temporal reasoning; ontologies; mobile computing; wearable assistive technologies; multi-sensory integration
Special Issues, Collections and Topics in MDPI journals
Prof. Dr. Eleni Mangina

E-Mail Website
Guest Editor
School of Computer Science, University College Dublin, D04 V1W8 Dublin, Ireland
Interests: applied artificial intelligent; robotics; remotely piloted aircraft systems; virtual and augmented reality
Special Issues, Collections and Topics in MDPI journals

Special Issue Information

Dear Colleagues,

Ambient intelligence has been the subject of significant effort by the research community over a number of years. Progress in the many domains necessary to realising the inherently interdisciplinary AmI vision has been extensively documented.  Nonetheless, AmI remains a niche research domain and its potential largely unfilled. This is despite the ever-increasing need for delivering transparent and intuitive interaction between people and their environments. Despite significant advances, bridging the gap between the promise of AmI and its pragmatic implementation remains a formidable challenge. The objective of this special issue to present the state-of-the-art in Ambient Intelligence, share experiences of long-term real-world AmI deployments, explore new exciting application areas, and introduce new research challenges and opportunities.

Original, high-quality contributions from both academic and industry are sought. Manuscripts submitted for review should not have been published or accepted for publication elsewhere; furthermore, submissions should not be under review by other journals or peer-reviewed conferences.

Topics of interest include, but are not limited to:

  • Novel architectures, platforms and technologies for AmI
  • Standardisation initiatives applicable to AmI
  • Internet of Things approaches for AmI
  • Cyber-Physical Systems
  • Privacy, security and data management within AmI
  • Sustainable and Green Computing models of AmI
  • Interaction design and novel user interfaces for AmI
  • Modelling computational and social intelligence within AmI

The editors would be particularly interested in receiving papers that address the following issues:

  • Ethical approaches to AmI
  • Open Science within the context of AmI
  • Methodologies for benchmarking AmI platforms and services
  • Unconventional applications of AmI

Dr. Michael O'Grady
Dr. Juan Ye
Dr. Eleni Mangina
Guest Editors

Manuscript Submission Information

Manuscripts should be submitted online at www.mdpi.com by registering and logging in to this website. Once you are registered, click here to go to the submission form. Manuscripts can be submitted until the deadline. All submissions that pass pre-check are peer-reviewed. Accepted papers will be published continuously in the journal (as soon as accepted) and will be listed together on the special issue website. Research articles, review articles as well as short communications are invited. For planned papers, a title and short abstract (about 100 words) can be sent to the Editorial Office for announcement on this website.

Submitted manuscripts should not have been published previously, nor be under consideration for publication elsewhere (except conference proceedings papers). All manuscripts are thoroughly refereed through a single-blind peer-review process. A guide for authors and other relevant information for submission of manuscripts is available on the Instructions for Authors page. Information is an international peer-reviewed open access monthly journal published by MDPI.

Please visit the Instructions for Authors page before submitting a manuscript. The Article Processing Charge (APC) for publication in this open access journal is 1600 CHF (Swiss Francs). Submitted papers should be well formatted and use good English. Authors may use MDPI's English editing service prior to publication or during author revisions.

Keywords

  • Intelligence systems
  • Context reasoning
  • Intelligent user interfaces
  • Smart environments
  • Activity recognition

Published Papers (2 papers)

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24 pages, 515 KiB  
Article
A Review and Classification of Assisted Living Systems
by Caroline A. Byrne, Rem Collier and Gregory M. P. O’Hare
Information 2018, 9(7), 182; https://doi.org/10.3390/info9070182 - 21 Jul 2018
Cited by 23 | Viewed by 6442
Abstract
Europe’s social agenda for the “active elderly” is based upon a series of programs that provide a flexible infrastructure for their lives so that they are motivated, engaged in lifelong learning, and contributing to society. Economically speaking, Europe must engage in active aging [...] Read more.
Europe’s social agenda for the “active elderly” is based upon a series of programs that provide a flexible infrastructure for their lives so that they are motivated, engaged in lifelong learning, and contributing to society. Economically speaking, Europe must engage in active aging research in order to avoid unsustainable health costs, and ambient assisted living (AAL) systems provide a platform for the elderly to remain living independently. This paper reviews research conducted within the area of AAL, and offers a taxonomy within which such systems may be classified. This classification distinguishes itself from others in that it categorises AAL systems in a top-down fashion, with the most important categories placed immediately to the left. In this paper, each section is explored further, and AAL systems are the focus. Entire AAL systems still cannot be fully evaluated, but their constituent technical parts can be assessed. The activities of daily living (ADLs) component was given further priority due to its potential for system evaluation, based on its ability to recognise ADLs with reasonable accuracy. Full article
(This article belongs to the Special Issue Ambient Intelligence Environments)
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24 pages, 2233 KiB  
Article
Effective Intrusion Detection System Using XGBoost
by Sukhpreet Singh Dhaliwal, Abdullah-Al Nahid and Robert Abbas
Information 2018, 9(7), 149; https://doi.org/10.3390/info9070149 - 21 Jun 2018
Cited by 213 | Viewed by 18761
Abstract
As the world is on the verge of venturing into fifth-generation communication technology and embracing concepts such as virtualization and cloudification, the most crucial aspect remains “security”, as more and more data get attached to the internet. This paper reflects a model designed [...] Read more.
As the world is on the verge of venturing into fifth-generation communication technology and embracing concepts such as virtualization and cloudification, the most crucial aspect remains “security”, as more and more data get attached to the internet. This paper reflects a model designed to measure the various parameters of data in a network such as accuracy, precision, confusion matrix, and others. XGBoost is employed on the NSL-KDD (network socket layer-knowledge discovery in databases) dataset to get the desired results. The whole motive is to learn about the integrity of data and have a higher accuracy in the prediction of data. By doing so, the amount of mischievous data floating in a network can be minimized, making the network a secure place to share information. The more secure a network is, the fewer situations where data is hacked or modified. By changing various parameters of the model, future research can be done to get the most out of the data entering and leaving a network. The most important player in the network is data, and getting to know it more closely and precisely is half the work done. Studying data in a network and analyzing the pattern and volume of data leads to the emergence of a solid Intrusion Detection System (IDS), that keeps the network healthy and a safe place to share confidential information. Full article
(This article belongs to the Special Issue Ambient Intelligence Environments)
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