Journal of
Systemics, Cybernetics and Informatics
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ISSN: 1690-4524 (Online)


Peer Reviewed Journal via three different mandatory reviewing processes, since 2006, and, from September 2020, a fourth mandatory peer-editing has been added.

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Published by
The International Institute of Informatics and Cybernetics


Re-Published in
Academia.edu
(A Community of about 40.000.000 Academics)


Honorary Editorial Advisory Board's Chair
William Lesso (1931-2015)

Editor-in-Chief
Nagib C. Callaos


Sponsored by
The International Institute of
Informatics and Systemics

www.iiis.org
 

Editorial Advisory Board

Quality Assurance

Editors

Journal's Reviewers
Call for Special Articles
 

Description and Aims

Submission of Articles

Areas and Subareas

Information to Contributors

Editorial Peer Review Methodology

Integrating Reviewing Processes


Education 5.0: Using the Design Thinking Process – An Interdisciplinary View
Birgit Oberer, Alptekin Erkollar
(pages: 1-17)

Impact of Artificial Intelligence on Smart Cities
Mohammad Ilyas
(pages: 18-39)

A Multi-Disciplinary Cybernetic Approach to Pedagogic Excellence
Russell Jay Hendel
(pages: 40-63)

Data Management Sharing Plan: Fostering Effective Trans-Disciplinary Communication in Collaborative Research
Cristo Ernesto Yáñez León, James Lipuma
(pages: 64-79)

From Disunity to Synergy: Transdisciplinarity in HR Trends
Olga Bernikova, Daria Frolova
(pages: 80-92)

The Impact of Artificial Intelligence on the Future Business World
Hebah Y. AlQato
(pages: 93-104)

Wi-Fi and the Wisdom Exchange: The Role of Lived Experience in the Age of AI
Teresa H. Langness
(pages: 105-113)

Older Adult Online Learning during COVID-19 in Taiwan: Based on Teachers' Perspective
Ya-Hui Lee, Yi-Fen Wang, Hsien-Ta Cha
(pages: 114-129)

Data Visualization of Budgeting Assumptions: An Illustrative Case of Trans-disciplinary Applied Knowledge
Carol E. Cuthbert, Noel J. Pears, Karen Bradshaw
(pages: 130-149)

The Importance of Defining Cybersecurity from a Transdisciplinary Approach
Bilquis Ferdousi
(pages: 150-164)

ChatGPT, Metaverses and the Future of Transdisciplinary Communication
Jasmin (Bey) Cowin
(pages: 165-178)

Trans-Disciplinary Communication for Policy Making: A Reflective Activity Study
Cristo Leon
(pages: 179-192)

Trans-Disciplinary Communication in Collaborative Co-Design for Knowledge Sharing
James Lipuma, Cristo Leon
(pages: 193-210)

Digital Games in Education: An Interdisciplinary View
Birgit Oberer, Alptekin Erkollar
(pages: 211-230)

Disciplinary Inbreeding or Disciplinary Integration?
Nagib Callaos
(pages: 231-281)


 

Abstracts

 


ABSTRACT


System Design of WiFi-Signaling Based Accurate Occupancy Detection Scheme

Yukina Miwa, Akari Ushiyama, Hijiri Komura, Katsuhiro Naito


Indoor location systems are the key technology to provide the location of a human or a device in indoor space. Since WiFi technology has been spread in various spaces, WiFi is the practical standard to realize the indoor location systems. As a receiver can typically find some WiFi access points (APs), indoor location systems use multiple signals from some APs to estimate a position. Initial systems use Received Signal Strength (RSS) as the measurement of distance because RSS decreases according to the distance between AP and a receiver. Recently, more practical service using indoor location systems has been discussed. This paper proposes an occupancy detection scheme based on a WiFi-based indoor location system. The proposed scheme tracks users’ smartphone devices as a human location. The location of a human in a room is useful information to manage human resources efficiently. Therefore, some systems track a beacon tag to estimate the location or typical location systems use WiFi signals from several APs to estimate a location. As a result, the conventional systems require a special beacon tag or special tracking application to realize the human location system. On the contrary, the proposed system uses users’ smartphones instead of special devices or applications. In this situation, the proposed system must track all WiFi devices that do not associate with a WiFi access point. Therefore WiFi APs cannot detect all users’ devices. The proposed scheme focuses on the WiFi signaling process to detect a user’s device and estimates the location of a user’s device. The WiFi signal receivers detect a probe request message from a user’s device because a probe request message should be transmitted even if the user’s device does not associate an AP. We have developed a prototype system to evaluate the performance.

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