Non-GPS positioning sensor network in social manufacturing

Akatsuki Ryu; Mark Nelson; Arja Mehtala; Timo Nyberg; Gang Xiong

doi:10.1109/SOLI.2016.7551660

Non-GPS positioning sensor network in social manufacturing

Akatsuki Ryu, Mark Nelson, Arja Mehtala, Timo Nyberg, Gang Xiong

Department of Industrial Engineering and Management

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › Scientific › peer-review

1 Citation (Scopus)

Abstract

The Global Positioning System (GPS) technology has been widely used in many applications. However, GPS operation is very limited indoors. While people are spending most of the time indoor. Different solutions are used in indoor positioning and location based service. Indoor positioning based systems are increasingly used in manufacturing. Four instance indoor positioning systems are used for the assets tracking and human trajectory. Tracking mass amount of people Will generate huge big data, manufacturing companies as well as individuals can take advantage of this traffic flow data to pursue environmental, economic and social sustainable manufacturing strategies. In this paper, we describe one method of tracking massive amount of people and provide them and visual tracking information by using one of the indoor positioning Technologies HAIP provided by Nokia. We present empirical results of experiments of using the HAIP system.

Original language	English
Title of host publication	Proceedings - 2016 IEEE International Conference on Service Operations and Logistics, and Informatics, SOLI 2016
Publisher	IEEE
Pages	47-52
Number of pages	6
ISBN (Electronic)	9781509029273
DOIs	https://doi.org/10.1109/SOLI.2016.7551660
Publication status	Published - 24 Aug 2016
MoE publication type	A4 Article in a conference publication
Event	International Conference on Service Operations and Logistics, and Informatics - Beijing, China Duration: 10 Jul 2016 → 12 Jul 2016

Conference

Conference	International Conference on Service Operations and Logistics, and Informatics
Abbreviated title	SOLI
Country/Territory	China
City	Beijing
Period	10/07/2016 → 12/07/2016

Keywords

big data
Indoor sensing technology
location based services

UN SDGs

This output contributes to the following UN Sustainable Development Goals (SDGs)

Access to Document

10.1109/SOLI.2016.7551660

Cite this

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title = "Non-GPS positioning sensor network in social manufacturing",

abstract = "The Global Positioning System (GPS) technology has been widely used in many applications. However, GPS operation is very limited indoors. While people are spending most of the time indoor. Different solutions are used in indoor positioning and location based service. Indoor positioning based systems are increasingly used in manufacturing. Four instance indoor positioning systems are used for the assets tracking and human trajectory. Tracking mass amount of people Will generate huge big data, manufacturing companies as well as individuals can take advantage of this traffic flow data to pursue environmental, economic and social sustainable manufacturing strategies. In this paper, we describe one method of tracking massive amount of people and provide them and visual tracking information by using one of the indoor positioning Technologies HAIP provided by Nokia. We present empirical results of experiments of using the HAIP system.",

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author = "Akatsuki Ryu and Mark Nelson and Arja Mehtala and Timo Nyberg and Gang Xiong",

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doi = "10.1109/SOLI.2016.7551660",

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booktitle = "Proceedings - 2016 IEEE International Conference on Service Operations and Logistics, and Informatics, SOLI 2016",

publisher = "IEEE",

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note = "International Conference on Service Operations and Logistics, and Informatics, SOLI ; Conference date: 10-07-2016 Through 12-07-2016",

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Ryu, A, Nelson, M, Mehtala, A, Nyberg, T & Xiong, G 2016, Non-GPS positioning sensor network in social manufacturing. in Proceedings - 2016 IEEE International Conference on Service Operations and Logistics, and Informatics, SOLI 2016., 7551660, IEEE, pp. 47-52, International Conference on Service Operations and Logistics, and Informatics, Beijing, China, 10/07/2016. https://doi.org/10.1109/SOLI.2016.7551660

Non-GPS positioning sensor network in social manufacturing. / Ryu, Akatsuki; Nelson, Mark; Mehtala, Arja; Nyberg, Timo; Xiong, Gang.

Proceedings - 2016 IEEE International Conference on Service Operations and Logistics, and Informatics, SOLI 2016. IEEE, 2016. p. 47-52 7551660.

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › Scientific › peer-review

TY - GEN

T1 - Non-GPS positioning sensor network in social manufacturing

AU - Ryu, Akatsuki

AU - Nelson, Mark

AU - Mehtala, Arja

AU - Nyberg, Timo

AU - Xiong, Gang

PY - 2016/8/24

Y1 - 2016/8/24

N2 - The Global Positioning System (GPS) technology has been widely used in many applications. However, GPS operation is very limited indoors. While people are spending most of the time indoor. Different solutions are used in indoor positioning and location based service. Indoor positioning based systems are increasingly used in manufacturing. Four instance indoor positioning systems are used for the assets tracking and human trajectory. Tracking mass amount of people Will generate huge big data, manufacturing companies as well as individuals can take advantage of this traffic flow data to pursue environmental, economic and social sustainable manufacturing strategies. In this paper, we describe one method of tracking massive amount of people and provide them and visual tracking information by using one of the indoor positioning Technologies HAIP provided by Nokia. We present empirical results of experiments of using the HAIP system.

AB - The Global Positioning System (GPS) technology has been widely used in many applications. However, GPS operation is very limited indoors. While people are spending most of the time indoor. Different solutions are used in indoor positioning and location based service. Indoor positioning based systems are increasingly used in manufacturing. Four instance indoor positioning systems are used for the assets tracking and human trajectory. Tracking mass amount of people Will generate huge big data, manufacturing companies as well as individuals can take advantage of this traffic flow data to pursue environmental, economic and social sustainable manufacturing strategies. In this paper, we describe one method of tracking massive amount of people and provide them and visual tracking information by using one of the indoor positioning Technologies HAIP provided by Nokia. We present empirical results of experiments of using the HAIP system.

KW - big data

KW - Indoor sensing technology

KW - location based services

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DO - 10.1109/SOLI.2016.7551660

M3 - Conference contribution

AN - SCOPUS:84988350440

SP - 47

EP - 52

BT - Proceedings - 2016 IEEE International Conference on Service Operations and Logistics, and Informatics, SOLI 2016

PB - IEEE

T2 - International Conference on Service Operations and Logistics, and Informatics

Y2 - 10 July 2016 through 12 July 2016

ER -

Non-GPS positioning sensor network in social manufacturing

Abstract

Conference

Keywords

UN SDGs

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