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Recognition of human actions by using wearable sensors has become an important research field. Segmentation to sensor data is a vital issue in reconstructing and understanding human daily actions, and strongly affects the accuracy of human actions recognition. Traditional online segmentation approaches are mostly designed for one-dimensional sensor data, which greatly limits these approaches to multi-dimensional...
As a close proxy of the GOES-R Advanced Baseline Imager (ABI) instrument, the on-board 16-band Advanced Himawari Imager (AHI) brings an unprecedented opportunity to exercise the ABI algorithms developed for GOES-R in the STAR Algorithm Processing Framework (SAPF). STAR has been collaborating with JMA and NASA since AHI's post launch checkout and has been acquiring the full resolution AHI data form...
For power quality mornitoring, most methods test simple input signal, but for each tested object there are many input and output signals. These signals usually exit relevances between valtage and current. This paper proposes a test model of Multi- Input Multi-Output (MIMO) model including theory and algorithm design. The theory of the derivation process is given based on mean of least squares (LS)...
For the sake of measuring fuzzy uncertainty and rough uncertainty of real datasets, the fuzzy rough membership function (FRMF) defined in fuzzy rough set is introduced. A new fuzzy rough neural network (FRNN) is constructed based on neural network implementation of FRMF. FRNN has the merits of quick learning and good classification performance. And then a new neural network feature selection algorithm...
Particle swarm optimization (PSO) is characterized as simple in concept, easy to implement, and efficient in computation, but some enhancements to its basic algorithm's stability and global convergence still need to be investigated. A number of improvements on the PSO algorithm are summarized to overcome its shortcomings. Then, an improved PSO (IPSO) algorithm is proposed to move a particle in the...
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