A Framework for Processing Uncertain RFID Data in Supply Chain Management

Dong Xie; Quan Z. Sheng; Jiangang Ma; Yun Cheng; Yongrui Qin; Rui Zeng

doi:10.1007/978-3-642-41230-1_33

A Framework for Processing Uncertain RFID Data in Supply Chain Management

Dong Xie, Quan Z. Sheng, Jiangang Ma, Yun Cheng, Yongrui Qin, Rui Zeng

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

1 Citation (Scopus)

Abstract

Radio Frequency Identification (RFID) is widely used to track and trace objects in supply chain management. However, massive uncertain data produced by RFID readers are not suitable for directly use in RFID applications. Following our thorough analysis of key features of RFID objects, this paper proposes a new framework for effectively and efficiently processing uncertain RFID data, and supporting a variety of queries for tracking and tracing RFID objects. In particular, we propose an adaptive cleaning method by adjusting size of smoothing window according to various rates of uncertain data, employing different strategies to process uncertain readings, and distinguishing different types of uncertain data according to their appearing positions. We propose a comprehensive data model, which is suitable for a wide range of application scenarios. In addition, a path coding scheme is proposed to significantly compress massive data by aggregating the path sequences, the positions and the time intervals. Experimental evaluations show that our approach is effective and efficient in terms of the compression and traceability queries.

Original language	English
Title of host publication	Web Information Systems Engineering, WISE 2013
Subtitle of host publication	14th International Conference, Proceedings
Editors	Xuemin Lin, Yannis Manolopoulos, Divesh Srivastava, Guangyan Huang
Publisher	Springer Berlin Heidelberg
Pages	396-409
Number of pages	14
Edition	1
ISBN (Electronic)	9783642412301
ISBN (Print)	9783642412295
DOIs	https://doi.org/10.1007/978-3-642-41230-1_33
Publication status	Published - 2013
Externally published	Yes
Event	14th International Workshop on Web Information Systems Engineering - Nanjing, China Duration: 13 Oct 2013 → 15 Oct 2013 Conference number: 14

Publication series

Name	Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
Number	PART 1
Volume	8180 LNCS
ISSN (Print)	0302-9743
ISSN (Electronic)	1611-3349

Workshop

Workshop	14th International Workshop on Web Information Systems Engineering
Abbreviated title	WISE 2013
Country/Territory	China
City	Nanjing
Period	13/10/13 → 15/10/13

Access to Document

10.1007/978-3-642-41230-1_33Licence: Unspecified

Cite this

Xie, D., Sheng, Q. Z., Ma, J., Cheng, Y., Qin, Y., & Zeng, R. (2013). A Framework for Processing Uncertain RFID Data in Supply Chain Management. In X. Lin, Y. Manolopoulos, D. Srivastava, & G. Huang (Eds.), Web Information Systems Engineering, WISE 2013: 14th International Conference, Proceedings (1 ed., pp. 396-409). (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); Vol. 8180 LNCS, No. PART 1). Springer Berlin Heidelberg. https://doi.org/10.1007/978-3-642-41230-1_33

Xie, Dong ; Sheng, Quan Z. ; Ma, Jiangang et al. / A Framework for Processing Uncertain RFID Data in Supply Chain Management. Web Information Systems Engineering, WISE 2013: 14th International Conference, Proceedings. editor / Xuemin Lin ; Yannis Manolopoulos ; Divesh Srivastava ; Guangyan Huang. 1. ed. Springer Berlin Heidelberg, 2013. pp. 396-409 (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); PART 1).

@inproceedings{e8c29359f4d9412d8cb7e4e9d09ffcc7,

title = "A Framework for Processing Uncertain RFID Data in Supply Chain Management",

abstract = "Radio Frequency Identification (RFID) is widely used to track and trace objects in supply chain management. However, massive uncertain data produced by RFID readers are not suitable for directly use in RFID applications. Following our thorough analysis of key features of RFID objects, this paper proposes a new framework for effectively and efficiently processing uncertain RFID data, and supporting a variety of queries for tracking and tracing RFID objects. In particular, we propose an adaptive cleaning method by adjusting size of smoothing window according to various rates of uncertain data, employing different strategies to process uncertain readings, and distinguishing different types of uncertain data according to their appearing positions. We propose a comprehensive data model, which is suitable for a wide range of application scenarios. In addition, a path coding scheme is proposed to significantly compress massive data by aggregating the path sequences, the positions and the time intervals. Experimental evaluations show that our approach is effective and efficient in terms of the compression and traceability queries.",

keywords = "Supply Chain Management, Uncertain Data, Electronic Product Code, Smoothing Window, Path Sequence",

author = "Dong Xie and Sheng, {Quan Z.} and Jiangang Ma and Yun Cheng and Yongrui Qin and Rui Zeng",

year = "2013",

doi = "10.1007/978-3-642-41230-1_33",

language = "English",

isbn = "9783642412295",

series = "Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)",

publisher = "Springer Berlin Heidelberg",

number = "PART 1",

pages = "396--409",

editor = "Xuemin Lin and Yannis Manolopoulos and Divesh Srivastava and Guangyan Huang",

booktitle = "Web Information Systems Engineering, WISE 2013",

address = "Germany",

edition = "1",

note = "14th International Workshop on Web Information Systems Engineering, WISE 2013 ; Conference date: 13-10-2013 Through 15-10-2013",

}

Xie, D, Sheng, QZ, Ma, J, Cheng, Y, Qin, Y & Zeng, R 2013, A Framework for Processing Uncertain RFID Data in Supply Chain Management. in X Lin, Y Manolopoulos, D Srivastava & G Huang (eds), Web Information Systems Engineering, WISE 2013: 14th International Conference, Proceedings. 1 edn, Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), no. PART 1, vol. 8180 LNCS, Springer Berlin Heidelberg, pp. 396-409, 14th International Workshop on Web Information Systems Engineering, Nanjing, China, 13/10/13. https://doi.org/10.1007/978-3-642-41230-1_33

A Framework for Processing Uncertain RFID Data in Supply Chain Management. / Xie, Dong; Sheng, Quan Z.; Ma, Jiangang et al.

Web Information Systems Engineering, WISE 2013: 14th International Conference, Proceedings. ed. / Xuemin Lin; Yannis Manolopoulos; Divesh Srivastava; Guangyan Huang. 1. ed. Springer Berlin Heidelberg, 2013. p. 396-409 (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); Vol. 8180 LNCS, No. PART 1).

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

TY - GEN

T1 - A Framework for Processing Uncertain RFID Data in Supply Chain Management

AU - Xie, Dong

AU - Sheng, Quan Z.

AU - Ma, Jiangang

AU - Cheng, Yun

AU - Qin, Yongrui

AU - Zeng, Rui

N1 - Conference code: 14

PY - 2013

Y1 - 2013

N2 - Radio Frequency Identification (RFID) is widely used to track and trace objects in supply chain management. However, massive uncertain data produced by RFID readers are not suitable for directly use in RFID applications. Following our thorough analysis of key features of RFID objects, this paper proposes a new framework for effectively and efficiently processing uncertain RFID data, and supporting a variety of queries for tracking and tracing RFID objects. In particular, we propose an adaptive cleaning method by adjusting size of smoothing window according to various rates of uncertain data, employing different strategies to process uncertain readings, and distinguishing different types of uncertain data according to their appearing positions. We propose a comprehensive data model, which is suitable for a wide range of application scenarios. In addition, a path coding scheme is proposed to significantly compress massive data by aggregating the path sequences, the positions and the time intervals. Experimental evaluations show that our approach is effective and efficient in terms of the compression and traceability queries.

AB - Radio Frequency Identification (RFID) is widely used to track and trace objects in supply chain management. However, massive uncertain data produced by RFID readers are not suitable for directly use in RFID applications. Following our thorough analysis of key features of RFID objects, this paper proposes a new framework for effectively and efficiently processing uncertain RFID data, and supporting a variety of queries for tracking and tracing RFID objects. In particular, we propose an adaptive cleaning method by adjusting size of smoothing window according to various rates of uncertain data, employing different strategies to process uncertain readings, and distinguishing different types of uncertain data according to their appearing positions. We propose a comprehensive data model, which is suitable for a wide range of application scenarios. In addition, a path coding scheme is proposed to significantly compress massive data by aggregating the path sequences, the positions and the time intervals. Experimental evaluations show that our approach is effective and efficient in terms of the compression and traceability queries.

KW - Supply Chain Management

KW - Uncertain Data

KW - Electronic Product Code

KW - Smoothing Window

KW - Path Sequence

UR - http://www.scopus.com/inward/record.url?scp=84887485158&partnerID=8YFLogxK

U2 - 10.1007/978-3-642-41230-1_33

DO - 10.1007/978-3-642-41230-1_33

M3 - Conference contribution

AN - SCOPUS:84887485158

SN - 9783642412295

T3 - Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)

SP - 396

EP - 409

BT - Web Information Systems Engineering, WISE 2013

A2 - Lin, Xuemin

A2 - Manolopoulos, Yannis

A2 - Srivastava, Divesh

A2 - Huang, Guangyan

PB - Springer Berlin Heidelberg

T2 - 14th International Workshop on Web Information Systems Engineering

Y2 - 13 October 2013 through 15 October 2013

ER -

Xie D, Sheng QZ, Ma J, Cheng Y, Qin Y, Zeng R. A Framework for Processing Uncertain RFID Data in Supply Chain Management. In Lin X, Manolopoulos Y, Srivastava D, Huang G, editors, Web Information Systems Engineering, WISE 2013: 14th International Conference, Proceedings. 1 ed. Springer Berlin Heidelberg. 2013. p. 396-409. (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); PART 1). doi: 10.1007/978-3-642-41230-1_33

A Framework for Processing Uncertain RFID Data in Supply Chain Management

Abstract

Publication series

Workshop

Access to Document

Other files and links

Fingerprint

Cite this