An Automatic Identification System of Biological Resources based on 2D Barcode and UCC/EAN-128


The KIPS Transactions:PartD, Vol. 15, No. 6, pp. 861-872, Dec. 2008
10.3745/KIPSTD.2008.15.6.861,   PDF Download:

Abstract

As rapid development of computing environment, field of automatic identification research which interoperates with various physical objects and digital information is making active progress. Although the automatic identification system is widely used in various industries, application of automatic identification system in the field of medical health doesn't reach other industry.Therefore research in medical health supplies such as medical equipment, blood, human tissues and etc is on progress. This paper suggests the application of automatic identification technology for biological resources which is core research material in human genome research. First of all, user environment requirements for the introduction of automatic identification technology are defined and through the experiments and research, barcode is selected as a suitable tag interface. Data Matrix which is 2D barcode symbology is chosen and data schema is designed based on UCC/EAN-128 for international defecto standard. To showapplicability of proposed method when applied to actual environment, we developed, tested and evaluated application as following methods. Experiments of barcode read time at 196 and 75 below zero which is actual temperature where biological resources are preserved resulted read speed of average of 1.6 second and the data schema satisfies requirements for the biological resources application. Therefore suggested method can provide data reliability as well as rapid input of data in biological resources information processing.


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Cite this article
[IEEE Style]
M. S. Chu, K. H. Ryu, J. W. Kim, H. T. Kim, B. G. Han, "An Automatic Identification System of Biological Resources based on 2D Barcode and UCC/EAN-128," The KIPS Transactions:PartD, vol. 15, no. 6, pp. 861-872, 2008. DOI: 10.3745/KIPSTD.2008.15.6.861.

[ACM Style]
Min Seok Chu, Keun Ho Ryu, Jun Woo Kim, Hung Tae Kim, and Bok Ghee Han. 2008. An Automatic Identification System of Biological Resources based on 2D Barcode and UCC/EAN-128. The KIPS Transactions:PartD, 15, 6, (2008), 861-872. DOI: 10.3745/KIPSTD.2008.15.6.861.