Special Issue "Future Information Technology and Intelligent Systems"

A special issue of Information (ISSN 2078-2489).

Deadline for manuscript submissions: closed (31 October 2015)

Special Issue Editors

Guest Editor
Prof. James (Jong Hyuk) Park

Department of Computer Science and Engineering, Seoul National University of Science and Technology (SeoulTech), 232 Gongneung-ro, Nowon-gu, Seoul, 01811, Korea
Website | E-Mail
Phone: +82-2-970-6702
Fax: +82-2-977-9441
Interests: IoT; human-centric ubiquitous computing; information security; digital forensics; vehicular cloud computing; multimedia computing
Guest Editor
Prof. Dr. Marek R. Ogiela

Cryptography and Cognitive Informatics Research Group, AGH University of Science and Technology, 30 Mickiewicza Ave, 30-059 Krakow, Poland
Website | E-Mail
Interests: secret sharing; steganography; visual cryptography; subliminal channel; cognitive cryptography; biometric in cryptography
Guest Editor
Prof. Dr. Yang Xiao

Department of Computer Science, University of Alabama, Tuscaloosa, AL, USA
Website | E-Mail
Interests: Communications and networks; Computer/network security; Ubiquitous computing

Special Issue Information

Dear Colleagues,

During recent years, Information Technology (IT) influenced and changed every aspect of our lives and our cultures. Without various IT-based applications, we would find it difficult to keep information stored securely, to process information efficiently, and to communicate information conveniently. Future IT stands for all of the continuously evolving and converging information technologies, including digital convergence, embedded systems, mobile and wireless communications, social networks and media, UI/UX, security and trust computing, robots and intelligence, and so on in order to satisfy our ever-changing needs. This Special Issue is intended to foster the dissemination of state-of-the-art research in all future IT areas, including their models, services, and novel applications associated with their utilization.

Topics of interest include, but are not limited to:

-Computational sciences and applications
-Digital convergence
-Cloud computing and Big data
-Embedded systems and middle ware
-Mobile and wireless communications
-Social networks and media
-UI/UX and HCI
-Security and trust computing,
-Robot and intelligence
-Internet of Things

Prof. Dr. James Park
Prof. Dr. Marek R. Ogiela
Prof. Dr. Yang Xiao
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. 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 850 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.


  • computational sciences
  • digital convergence
  • cloud computing and big data
  • embedded systems
  • wireless communications
  • security and trust computing,
  • robot and intelligence
  • internet of things

Published Papers (1 paper)

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Open AccessArticle On-Body Smartphone Localization with an Accelerometer
Information 2016, 7(2), 21; https://doi.org/10.3390/info7020021
Received: 17 November 2015 / Revised: 7 March 2016 / Accepted: 10 March 2016 / Published: 29 March 2016
Cited by 4 | PDF Full-text (2079 KB) | HTML Full-text | XML Full-text
A user of a smartphone may feel convenient, happy, safe, etc., if his/her smartphone works smartly based on his/her context or the context of the device. In this article, we deal with the position of a smartphone on the body and carrying
[...] Read more.
A user of a smartphone may feel convenient, happy, safe, etc., if his/her smartphone works smartly based on his/her context or the context of the device. In this article, we deal with the position of a smartphone on the body and carrying items like bags as the context of a device. The storing position of a smartphone impacts the performance of the notification to a user, as well as the measurement of embedded sensors, which plays an important role in a device’s functionality control, accurate activity recognition and reliable environmental sensing. In this article, nine storing positions, including four types of bags, are subject to recognition using an accelerometer on a smartphone. In total, 63 features are selected as a set of features among 182 systematically-defined features, which can characterize and discriminate the motion of a smartphone terminal during walking. As a result of leave-one-subject-out cross-validation, an accuracy of 0.801 for the nine-class classification is shown, while an accuracy of 0.859 is obtained against five classes, which merges the subclasses of trouser pockets and bags. We also show the basic performance evaluation to select the proper window size and classifier. Furthermore, the analysis of the contributive features is presented. Full article
(This article belongs to the Special Issue Future Information Technology and Intelligent Systems)

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