TY - GEN
T1 - Uninterruptible Data Supply for sustainable context aware system
AU - Namatame, Naoya
AU - Nakazawa, Jin
AU - Takashio, Kazunori
AU - Tokuda, Hideyuki
PY - 2010/11/12
Y1 - 2010/11/12
N2 - Various context mining algorithms are proposed aiming at improving accuracy. The major problem of the existing algorithms is that they assume no data loss in sensor data input, thus are unable to function sufficiently in a practical environment, where sensor data frequently drop. This paper proposes a novel middleware system called Uninterruptible Data Supply (UDS) system, which compensates the missing data with a probabilistic manner. Applications can benefit from UDS on the occurrence of constant and temporal deficit of sequential or discrete data. The evaluation shows that UDS can sustain the accuracy of context over 80% even with 40% data missing.
AB - Various context mining algorithms are proposed aiming at improving accuracy. The major problem of the existing algorithms is that they assume no data loss in sensor data input, thus are unable to function sufficiently in a practical environment, where sensor data frequently drop. This paper proposes a novel middleware system called Uninterruptible Data Supply (UDS) system, which compensates the missing data with a probabilistic manner. Applications can benefit from UDS on the occurrence of constant and temporal deficit of sequential or discrete data. The evaluation shows that UDS can sustain the accuracy of context over 80% even with 40% data missing.
KW - Context-aware system
KW - Dependable system
KW - Sensor network
UR - http://www.scopus.com/inward/record.url?scp=78149270935&partnerID=8YFLogxK
UR - http://www.scopus.com/inward/citedby.url?scp=78149270935&partnerID=8YFLogxK
U2 - 10.1109/INSS.2010.5573743
DO - 10.1109/INSS.2010.5573743
M3 - Conference contribution
AN - SCOPUS:78149270935
SN - 9781424479108
T3 - INSS 2010 - 7th International Conference on Networked Sensing Systems
SP - 269
EP - 272
BT - INSS 2010 - 7th International Conference on Networked Sensing Systems
T2 - 7th International Conference on Networked Sensing Systems, INSS 2010
Y2 - 15 June 2010 through 18 June 2010
ER -