.... The contribution of this research is threefold: Zengkun Liu can be contacted at: zliu824@aucklanduni.ac.nz Predictive maintenance Deep learning Time-series data Event logs Data fusion Predictive maintenance is an advanced approach that detects potential equipment failures before...

... on these features. The haptic images with different dimensions and modalities are provided for testing the recognition performance of this model. Findings The results imply that multi-modal data fusion has a better performance than single-modal data on tactile understanding, and the haptic images with larger...

...) = [θ(t),ω(t),ω˙(t)]^T, where θ(t) is the attitude angle. Discrete-time state-space model for the gyroscope array in the carrier can then be described as: (6) x k + 1 = F k ( i ) x k + G k ( i ) w k ( i ) , Kurtosis Data fusion...

... Data fusion Knowledge Buildings Sensors Building is the main element to form a city, and building boundary is the fundament of urban mapping (Hussain et al., 2011 ; Meng et al., 2012) 3D building modeling and true orthophoto generation (Zhong et al., 2011...

... and analyzing the motion of other parts of the body. Sen Qiu can be contacted at: qiu@mail.dlut.edu.cn © Emerald Group Publishing Limited 2013 Motion Limbs Sensors Human anatomy Inertial Gait Human motion Wireless Data fusion Gait analysis is the study of the mechanism of human...

... Data fusion Landmine detection Robots Ordered weighted averaging (OWA) Electromagnetic sensors Sensors Energy consumption Automatic and intelligent systems have been attractive issues for control engineers for decades. Development of instruments and new generation of sensors have made...