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Future Internet
Special Issues
Future Intelligent Systems and Networks 2020-2021
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Future Intelligent Systems and Networks 2020-2021

A special issue of Future Internet (ISSN 1999-5903). This special issue belongs to the section "Internet of Things".

Deadline for manuscript submissions: closed (10 December 2021) | Viewed by 11884

Special Issue Editor

Prof. Dr. Carmen De-Pablos-Heredero

E-Mail Website
Guest Editor
Department of Management, Universidad Rey Juan Carlos, Paseo de los Artilleros, 28032 Madrid, Spain
Interests: data management; open data; open innovation; health sector; agricultural systems; management models; relational coordination
Special Issues, Collections and Topics in MDPI journals

Special Issue Information

Dear Colleagues,

The digital transformation based in the implementation of Internet systems and networks can be analysed in terms of the co-creation of value and sustainable and collaborative impact. Firms and public organizations have been transformed according to new information and communication opportunities.

This Special Issue intends to collect the current developments and future directions of digital organizational transformation as a consequence of the application of future intelligent systems and networks. Hence, we encourage authors to submit original papers related to these fields.

Potential topics include, but are not limited to:

  • Digital transformation
  • Databases and big data reuse of information
  • Innovative organizational models
  • The Internet of Things
  • Open innovation practices
  • Social implications of collaborative networks
  • Mobile computing innovative models
  • Smart cities
  • Co-creation of value with intelligent systems and networks
  • Environmental and social sustainable applications
  • Soft skills for transformed organizations

Dr. Carmen de Pablos Heredero
Guest Editor

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. Future Internet 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

  • Digital transformation
  • Business process reengineering
  • Internet of Things
  • Reuse of data
  • Smart cities
  • Open collaborative models
  • Value co-creation
  • Open innovation
  • Social interaction
  • Environmental sustainability
  • Intelligent systems and networks
  • Soft skills
  • Changes in labour force

Published Papers (2 papers)

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Research

18 pages, 1072 KiB  
Article
The Ideas of Sustainable and Green Marketing Based on the Internet of Everything—The Case of the Dairy Industry
by Hamed Nozari, Agnieszka Szmelter-Jarosz and Javid Ghahremani-Nahr
Future Internet 2021, 13(10), 266; https://doi.org/10.3390/fi13100266 - 19 Oct 2021
Cited by 26 | Viewed by 7646
Abstract
The use of advanced computer technologies has dramatically changed marketing. Concepts such as smart, sustainable, and green marketing have emerged in the last 20 years. One of these new technologies is the Internet of Things (IoT), which has led to the development of [...] Read more.
The use of advanced computer technologies has dramatically changed marketing. Concepts such as smart, sustainable, and green marketing have emerged in the last 20 years. One of these new technologies is the Internet of Things (IoT), which has led to the development of the activities and performances of industries in various dimensions. For the various objects, such as people, processes, and data, involved in marketing activities, the Internet of Everything (IoE) as an evolved IoT is a possible future scenario. Some sectors pretend to be the first to implement this, and the more they rely on dynamic, unstable customer needs, the better a solution the IoE is for them. Therefore, this paper presents a clear vision of smart, sustainable marketing based on the IoE in one of the fast-moving consumer goods (FMCG) industries, the dairy industry. Key factors are identified to help readers understand this concept better. The expert interview makes it possible to draw a picture of the factors that have helped successfully implement the IoE in the dairy sector. Full article
(This article belongs to the Special Issue Future Intelligent Systems and Networks 2020-2021)
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14 pages, 801 KiB  
Article
Homogeneous Data Normalization and Deep Learning: A Case Study in Human Activity Classification
by Ivan Miguel Pires, Faisal Hussain, Nuno M. Garcia, Petre Lameski and Eftim Zdravevski
Future Internet 2020, 12(11), 194; https://doi.org/10.3390/fi12110194 - 10 Nov 2020
Cited by 24 | Viewed by 3704
Abstract
One class of applications for human activity recognition methods is found in mobile devices for monitoring older adults and people with special needs. Recently, many studies were performed to create intelligent methods for the recognition of human activities. However, the different mobile devices [...] Read more.
One class of applications for human activity recognition methods is found in mobile devices for monitoring older adults and people with special needs. Recently, many studies were performed to create intelligent methods for the recognition of human activities. However, the different mobile devices in the market acquire the data from sensors at different frequencies. This paper focuses on implementing four data normalization techniques, i.e., MaxAbsScaler, MinMaxScaler, RobustScaler, and Z-Score. Subsequently, we evaluate the impact of the normalization algorithms with deep neural networks (DNN) for the classification of the human activities. The impact of the data normalization was counterintuitive, resulting in a degradation of performance. Namely, when using the accelerometer data, the accuracy dropped from about 79% to only 53% for the best normalization approach. Similarly, for the gyroscope data, the accuracy without normalization was about 81.5%, whereas with the best normalization, it was only 60%. It can be concluded that data normalization techniques are not helpful in classification problems with homogeneous data. Full article
(This article belongs to the Special Issue Future Intelligent Systems and Networks 2020-2021)
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