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In recent years, there has been an increasing interest within the Supply Chain Management (SCM) in localizing passive RFID tags. Identification information combined with target's location can hugely optimize the usage of RFID technology. In this paper, we present a novel localization algorithm which can be utilized for accurately and quickly localizing a tag from a mass of passive RFID tags. The proposed...
Aims at enhancing the accuracy of land vehicular navigation systems by integrating GPS and inertial measurement units, a new data fusion method based on particle filter inspired by biological evolution is proposed. In the standard particle filter, a resampling scheme is used to decrease the degeneracy phenomenon and improve estimation performance. Unfortunately, however, it could cause the undesired...
Pursuing on the analysis of product reviews, an unsupervised product features categorization method is proposed. Morphemes as smallest linguistic meaningful unit are induced in measuring the intra relationship among product features instead of words. Opinion words around product features are chosen to represent the inter relationship among product features instead of full context information. The...
A novel online self-constructing fuzzy neural network is proposed for time-series prediction. The proposed approach not only speeds up the learning process but also builds a more parsimonious fuzzy neural network while comparable performance and accuracy can be achieved since the new growing criteria feature characteristics of growing and pruning. The learning scheme starts with no hidden neurons...
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