TY  - JOUR
AU  - Zhao, Weidong
AU  - Dai, Weihui
AU  - Zhou, Shangchen
PY  - 2013/03/07
Y2  - 2025/01/02
TI  - Outlier Detection in Cold-chain Logistics Temperature Monitoring
JF  - Elektronika ir Elektrotechnika
JA  - ELEKTRON ELEKTROTECH
VL  - 19
IS  - 3
SE  - 
DO  - 10.5755/j01.eee.19.3.3699
UR  - https://eejournal.ktu.lt/index.php/elt/article/view/3699
SP  - 65-68
AB  - In the field of cold chain logistics, the key point is the real time control of temperature. Thus the failure of synchronous temperature monitoring is the bottleneck of cold-chain temperature monitoring. Targeting at the real-time features of synchronous temperature monitoring, this paper discusses some issues about RFID technology applied to outlier detection. Through comparing differing feasible RFID data mining methods, along with the requirements of the cold chain temperature monitoring, we put forward the improved QOD (quick outlier detection) algorithm by clustering based on data stream. After that, we prove that QOD algorithm’s performance can be improved after optimization and compared it with several other related methods in accuracy, memory consumption.&lt;p&gt;DOI: &lt;a href=&quot;http://dx.doi.org/10.5755/j01.eee.19.3.3699&quot;&gt;http://dx.doi.org/10.5755/j01.eee.19.3.3699&lt;/a&gt;&lt;/p&gt;
ER  -