IEICE TRANSACTIONS on Information
Data-Driven Decision-Making in Cyber-Physical Integrated Society
Summary :
The Cyber-Physical Integrated Society (CPIS) is being formed with the fusion of cyber-space and the real-world. In this paper, we will discuss Data-Driven Decision-Making (DDDM) support systems to solve social problems in the CPIS. First, we introduce a Web of Resources (WoR) that uses Web booking log data for destination data management. Next, we introduce an Internet of Persons (IoP) system to visualize individual and group flows of people by analyzing collected Wi-Fi usage log data. Specifically, we present examples of how WoR and IoP visualize flows of groups of people that can be shared across different industries, including telecommunications carriers and railway operators, and policy decision support for local, short-term events. Finally, the importance of data-driven training of human resources to support DDDM in the future CPIS is discussed.
- Publication
- IEICE TRANSACTIONS on Information Vol.E102-D No.9 pp.1607-1616
- Publication Date
- 2019/09/01
- Publicized
- 2019/07/04
- Online ISSN
- 1745-1361
- DOI
- 10.1587/transinf.2018OFI0002
- Type of Manuscript
- Special Section INVITED PAPER (Special Section on Log Data Usage Technology and Office Information Systems)
- Category
Authors
Noboru SONEHARA
Tsuda University
Takahisa SUZUKI
Tsuda University
Akihisa KODATE
Tsuda University
Toshihiko WAKAHARA
Tsuda University
Yoshinori SAKAI
Tsuda University
Yu ICHIFUJI
Nagasaki University
Hideo FUJII
Kintetsu Railway Co. Ltd.
Hideki YOSHII
Softbank Corp.
Keyword
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Noboru SONEHARA, Takahisa SUZUKI, Akihisa KODATE, Toshihiko WAKAHARA, Yoshinori SAKAI, Yu ICHIFUJI, Hideo FUJII, Hideki YOSHII, "Data-Driven Decision-Making in Cyber-Physical Integrated Society" in IEICE TRANSACTIONS on Information,
vol. E102-D, no. 9, pp. 1607-1616, September 2019, doi: 10.1587/transinf.2018OFI0002.
Abstract: The Cyber-Physical Integrated Society (CPIS) is being formed with the fusion of cyber-space and the real-world. In this paper, we will discuss Data-Driven Decision-Making (DDDM) support systems to solve social problems in the CPIS. First, we introduce a Web of Resources (WoR) that uses Web booking log data for destination data management. Next, we introduce an Internet of Persons (IoP) system to visualize individual and group flows of people by analyzing collected Wi-Fi usage log data. Specifically, we present examples of how WoR and IoP visualize flows of groups of people that can be shared across different industries, including telecommunications carriers and railway operators, and policy decision support for local, short-term events. Finally, the importance of data-driven training of human resources to support DDDM in the future CPIS is discussed.
URL: https://global.ieice.org/en_transactions/information/10.1587/transinf.2018OFI0002/_p
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@ARTICLE{e102-d_9_1607,
author={Noboru SONEHARA, Takahisa SUZUKI, Akihisa KODATE, Toshihiko WAKAHARA, Yoshinori SAKAI, Yu ICHIFUJI, Hideo FUJII, Hideki YOSHII, },
journal={IEICE TRANSACTIONS on Information},
title={Data-Driven Decision-Making in Cyber-Physical Integrated Society},
year={2019},
volume={E102-D},
number={9},
pages={1607-1616},
abstract={The Cyber-Physical Integrated Society (CPIS) is being formed with the fusion of cyber-space and the real-world. In this paper, we will discuss Data-Driven Decision-Making (DDDM) support systems to solve social problems in the CPIS. First, we introduce a Web of Resources (WoR) that uses Web booking log data for destination data management. Next, we introduce an Internet of Persons (IoP) system to visualize individual and group flows of people by analyzing collected Wi-Fi usage log data. Specifically, we present examples of how WoR and IoP visualize flows of groups of people that can be shared across different industries, including telecommunications carriers and railway operators, and policy decision support for local, short-term events. Finally, the importance of data-driven training of human resources to support DDDM in the future CPIS is discussed.},
keywords={},
doi={10.1587/transinf.2018OFI0002},
ISSN={1745-1361},
month={September},}
Copy
TY - JOUR
TI - Data-Driven Decision-Making in Cyber-Physical Integrated Society
T2 - IEICE TRANSACTIONS on Information
SP - 1607
EP - 1616
AU - Noboru SONEHARA
AU - Takahisa SUZUKI
AU - Akihisa KODATE
AU - Toshihiko WAKAHARA
AU - Yoshinori SAKAI
AU - Yu ICHIFUJI
AU - Hideo FUJII
AU - Hideki YOSHII
PY - 2019
DO - 10.1587/transinf.2018OFI0002
JO - IEICE TRANSACTIONS on Information
SN - 1745-1361
VL - E102-D
IS - 9
JA - IEICE TRANSACTIONS on Information
Y1 - September 2019
AB - The Cyber-Physical Integrated Society (CPIS) is being formed with the fusion of cyber-space and the real-world. In this paper, we will discuss Data-Driven Decision-Making (DDDM) support systems to solve social problems in the CPIS. First, we introduce a Web of Resources (WoR) that uses Web booking log data for destination data management. Next, we introduce an Internet of Persons (IoP) system to visualize individual and group flows of people by analyzing collected Wi-Fi usage log data. Specifically, we present examples of how WoR and IoP visualize flows of groups of people that can be shared across different industries, including telecommunications carriers and railway operators, and policy decision support for local, short-term events. Finally, the importance of data-driven training of human resources to support DDDM in the future CPIS is discussed.
ER -
English
