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

Prof. Dr. James (Jong Hyuk) Park
E-Mail Website
Guest Editor
Prof. Dr. Marek R. Ogiela
E-Mail Website
Guest Editor
Cryptography and Cognitive Informatics Laboratory, AGH University of Science and Technology, 30-059 Krakow, Poland
Interests: computer science (cognitive informatics, pattern classification); biomedical engineering (medical image understanding and semantic analysis); cryptography (secret splitting and sharing, secure information management)
Special Issues, Collections and Topics in MDPI journals
Prof. Dr. Yang Xiao
E-Mail Website
Guest Editor
Department of Computer Science, The University of Alabama, Tuscaloosa, AL 35487, USA
Interests: cyber-physical systems; Internet of Things; Multimedia Processing; security and telemedicine
Special Issues, Collections and Topics in MDPI journals

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 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

  • 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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Research

Article
On-Body Smartphone Localization with an Accelerometer
Information 2016, 7(2), 21; https://doi.org/10.3390/info7020021 - 29 Mar 2016
Cited by 23 | Viewed by 2806
Abstract
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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