Special Issue "Ambient Intelligence in IoT Environments"

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

Deadline for manuscript submissions: 30 September 2020.

Special Issue Editors

Adj.Prof. Dmitry Korzun
E-Mail Website
Guest Editor
Department of Computer Science, Institute of Mathematics and Information Technology, University of Petrozavodsk, Russia
Interests: Ambient Intelligence; smart spaces; Internet of Things; networking; mathematical modeling; performance evaluation; data mining; information services; industrial internet; socio-cyberphysical systems; software engineering
Prof. Ilya Shegelman
E-Mail Website
Co-Guest Editor
Department of End-to-End Technologies and Economic Security, Petrozavodsk State University, Russia
Interests: Innovation; Industrial Systems; System Engineering; Mathematical Modelling; Patents
Prof. Anatoly Voronin
E-Mail Website
Co-Guest Editor
Department of Applied Mathematics and Cybernetics, Petrozavodsk State University, Russia
Interests: mathematical programming; control systems; industrial automation; enterprise planning; digital economy; digital society; digital education

Special Issue Information

Dear Colleagues,

The Internet of Things (IoT) paradigm is essentially supported by the rapid progress in microelectronics. Many digital devices (mobile or embedded) appear near people, and each device can be utilized to serve humans. Devices are connected, and they enable cooperative service construction. Based on this type of cooperation, various IoT environments can be developed. Any IoT environment can be considered as a smart or intelligent environment, since the goal is to produce smart services for its users. A smart service is characterized by such properties as context-awareness, personalization, information assistance, ubiquitous access, adaptation, pro-active delivery, and others.

Service intelligence can be created based on Ambient Intelligence (AmI) methods. The environment provides multisource data and sensing possibilities. Data sources are people, information systems, Internet services, smart IoT objects, and embedded and mobile sensors. The data are fused and analyzed to derive the proper information to assist the user. First, the analysis is almost in real-time, when shared data are dynamically updated. Advanced solutions are needed to access up-to-date information. Second, the top relevant information facts are found among many appropriate ones. Advanced solutions to the information ranking problem are needed to efficiently assist the user. Plenty of different multimedia and mobile equipment are used to effectively deliver services as assistance information to users.

With this Special Issue, we invite authors to submit original research or review articles mainly focused on the Ambient Intelligence and Internet of Things environments. Research and development topics for this Special Issue include but are not limited to:

  • Smart IoT technologies, platforms, and systems;
  • Digital devices and network components for creating AmI in an IoT environment;
  • Multisource data sensing and information exchange in an IoT environment;
  • Fusing data from physical, cyber, and social worlds;
  • Edge and Fog computing for IoT environments;
  • Data mining by interaction of many IoT devices;
  • Data analytics based on semantic relations discovered in multisource data;
  • AmI implementation as a service of information assistance;
  • Testbeds, applications, case studies, and social issues around creating AmI in an IoT environment.

Adj.Prof. Dmitry Korzun
Prof. Ilya Shegelman
Prof. Anatoly Voronin
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 papers will be 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. Electronics 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 1400 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

  • Internet of Things
  • Ambient Intelligence
  • smart environments
  • multisource data
  • data mining
  • data fusing
  • information assistance
  • socio-cyber-physical systems
  • industrial internet
  • multi-device cooperation
  • digital innovation

Published Papers

This special issue is now open for submission, see below for planned papers.

Planned Papers

The below list represents only planned manuscripts. Some of these manuscripts have not been received by the Editorial Office yet. Papers submitted to MDPI journals are subject to peer-review.

Title: Ambient Intelligence Technologies for Digital Economy and Society: Selected Areas for Future Applications
Authors: Anatoly V. Voronin
Affiliation: Petrozavodsk State University, Russia
Abstract: Ambient Intelligence can be implemented based on sensing and computing capabilities of local devices in the IoT environment. As a result, the environment enables dynamic construction of digital services, which make the environment smart or intelligent. In this paper, we consider a generic technology for “intellectualization” of an IoT environment. The technology opportunities for future applications are considered based on our research and development experience with pilot prototypes for such areas as Smart Room environments, Industrial Monitoring, mobile Healthcare systems, Smart City services, and Smart Museum.

Title: Survey on Patent Research in Applying the Artificial Intelligence in Internet of Things Technologies
Authors: Ilya R. Shegelman; Pavel V. Budnik; Alexey S. Vasilev
Affiliation: Petrozavodsk State University, Russia
Abstract: Nowadays, solutions in Artificial Intelligence (AI) and Internet of Things (IoT) form promising areas for inventing and patenting. In this paper, we consider the state of the art in these areas. First, we identify the key trends in each of the areas. Second, we are interested in study of integration inventions when an IoT solution includes AI components. As we show in this paper, this kind of integration has essential specifics for patenting in these areas.

Title: Industrial Monitoring Systems based on Edge and Fog Computing
Authors: Dmitry G. Korzun; Evgeny I. Maslennikov; Alexey V. Yartsev; Alexey S. Shtykov
Affiliation: Petrozavodsk State University, Russia; GS Nanotech, Russia
Abstract: The monitoring problem of industrial production equipment forms a promising area for applying both IoT technology and AI methods. Any equipment unit is surrounded with various sensors that continuously provide real data on the technical state and operating conditions. In this paper, we consider the multi-flow collection system of heterogeneous sensed data. This data system provides source information for making the equipment unit as “smart”. Edge devices are responsible for processing the data as well as local servers on the network path to the enterprise information system. The result of data processing is services that provide analytics, assistance, and predictive-based recommendations to equipment personnel.

Title: Dialog-Based Audio-Visual System for Driver Drowsiness Detection
Authors: Alexey M. Kashevnik; Igor B. Lashkov
Affiliation: SPIIRAS, Russia
Abstract: The paper considers development of a driver assistance system for smart detection of dangerous states in the driver behavior. Our research focuses on the drowsiness recognition using front facing camera of smartphone. The base metric is the percentage eye openness tracking (PERCLOS). In the case of detecting by the camera a dangerous state based on PERCLOS, the assistance system intelligently asks some information from the driver and evaluates his/her voice characteristics. Such parameters as speed, loudness, and driver’s answers are analyzed to verify the detected drowsiness dangerous state.

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