RFID Data Monitoring and Cleaning Using Tensor Calculus

In current trends of supply chains governance, RFID is a promising infrastructure-less technology. Nevertheless the unreliability of RFID data streams and the relevant amount of generated data in a supply chain pose significant challenges of monitoring and cleaning (i.e. to be processed on the fly). Current approaches provide hard-coded solutions, with high consumption of resources; moreover, these exhibit very limited flexibility dealing with multidimensional queries, at various levels of granularity and complexity.

[1]  Xue Li,et al.  RFID Data Management: Challenges and Opportunities , 2007, 2007 IEEE International Conference on RFID.

[2]  Diego Klabjan,et al.  Warehousing and Analyzing Massive RFID Data Sets , 2006, 22nd International Conference on Data Engineering (ICDE'06).

[3]  Fusheng Wang,et al.  RFID Data Processing with a Data Stream Query Language , 2007, 2007 IEEE 23rd International Conference on Data Engineering.

[4]  Rebecca Angeles,et al.  Rfid Technologies: Supply-Chain Applications and Implementation Issues , 2004, Inf. Syst. Manag..

[5]  S. C. Kleene,et al.  Introduction to Metamathematics , 1952 .

[6]  Minos N. Garofalakis,et al.  Adaptive cleaning for RFID data streams , 2006, VLDB.

[7]  Chun-Hee Lee,et al.  Efficient storage scheme and query processing for supply chain management using RFID , 2008, SIGMOD Conference.

[8]  O. Østerby,et al.  Direct Methods for Sparse Matrices , 1983 .

[9]  Ole Østerby,et al.  Direct Methods for Space Matrices , 1983, Lecture Notes in Computer Science.

[10]  I. Duff,et al.  Direct Methods for Sparse Matrices , 1987 .

[11]  Torsten Grust,et al.  Advances in database technology - EDBT 2006 : 10th International Conference on Extending Database Technology, Munich, Germany, March 2006; proceedings , 2006 .

[12]  Kenneth E. Iverson,et al.  A programming language , 1899, AIEE-IRE '62 (Spring).

[13]  Fusheng Wang,et al.  Bridging Physical and Virtual Worlds: Complex Event Processing for RFID Data Streams , 2006, EDBT.

[14]  Fusheng Wang,et al.  Efficiently Filtering RFID Data Streams , 2006, CleanDB.

[15]  Timothy A. Davis,et al.  Direct methods for sparse linear systems , 2006, Fundamentals of algorithms.

[16]  Gustavo Alonso,et al.  A Pipelined Framework for Online Cleaning of Sensor Data Streams , 2006, 22nd International Conference on Data Engineering (ICDE'06).