• Source: Auto-ID Labs

The Auto-ID Labs network is a research group in the field of networked radio-frequency identification (RFID) and emerging sensing technologies. The labs consist of seven research universities located on four different continents. These institutions were chosen by the former Auto-ID Center to design the architecture for the Internet of Things together with EPCglobal. The federation was established in 1999; the network they have developed is at the heart of a proposal sponsored by EPCglobal and supported by GS1, GS1 US, Wal-Mart, Hewlett-Packard, and others to use RFID and the Electronic Product Code (EPC) in the identification of items in the supply chain for companies. The areas of expertise range from hardware to software to business research related to RFID.




History


The Auto-ID Labs is the research-oriented successor to the MIT Auto-ID Center, founded by Kevin Ashton, David Brock, Dr. Daniel Engels, Sanjay Sarma, and Sunny Siu with funding from Procter & Gamble, Gillette, the Uniform Code Council, and a number of other global consumer products manufacturers. The MIT Auto-ID Center was created to develop the Electronic Product Code, a global RFID-based item identification system intended to replace the UPC bar code. In October 2003, the Auto-ID Center was replaced by the newly founded research network, the Auto-ID Labs and EPCGlobal, an organization charged with managing the new EPC Network. Auto-ID Labs is responsible for managing and funding the continued development of EPC technology.




Research topics


The research topics of the labs have gone beyond RFID-only research and now also includes sensor networks and new emerging sensing technology. Basically, the research can be grouped into three main areas: hardware, software and business layer. On the autoidlabs.org website, the Auto-ID Labs continuously publish their research results and provide an archive with over 150 white papers and academic publications. The following parts outline how the research is organized.




= Software and network

=
Focus group: Keio University, Massachusetts Institute of Technology, KAIST
Future system architecture
EPC network
EPC Global Network Simulator
Middleware
Integration with existing systems




= Hardware

=
Focus group: Massachusetts Institute of Technology, Fudan University, KAIST
RF and chip design
Class 2 and higher tags
Tags with memory, battery, sensors and actuators
Enhanced reading rates in challenging environments




Members


The research network consists of the following seven research institutions:

University of Cambridge (United Kingdom) - Cambridge Auto-ID Lab
Fudan University (China) - Fudan Auto-ID Lab
KAIST (South Korea) - KAIST Auto-ID Lab
Keio University (Japan) - Keio Auto-ID Lab
Massachusetts Institute of Technology (United States) - MIT Auto-ID Lab
University of St. Gallen/ETH Zurich (Switzerland)
University of Adelaide (Australia)




References






External links


Auto-ID Labs Global alliance Archived 2011-04-09 at the Wayback Machine
University of St. Gallen/ETH Zurich Auto-ID Lab Archived 2019-05-07 at the Wayback Machine
University of Adelaide Auto-ID Lab Archived 2014-05-29 at the Wayback Machine

Kata Kunci Pencarian:

• Grand Theft Auto V
• Daihatsu Ayla
• Lexus
• Toyota Kijang
• Toyota Land Cruiser
• Serangan kegagalan layanan
• Steam
• PlayStation 3
• Daihatsu
• Nokia E71
• Auto-ID Labs
• Automatic identification and data capture
• Kevin Ashton
• Sanjay Sarma
• Singulation
• List of organisations and institutions associated with the University of Cambridge
• Antonio Rodriguez (entrepreneur)
• Fudan University
• Internet of things
• University of St. Gallen