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Sensorized garments represent a breakthrough in wearable sensor technology. Sensorized garments have potential for the development of exciting new applications in rehabilitation. In this paper, we present our work toward the development of a system based on a sensorized glove that tracks hand movements during hand grasp/release tasks. The project aims at developing technology to facilitate the implementation...
The 3 most important issues for anomaly detection based intrusion detection systems by using data mining methods are: feature selection, data value normalization, and the choice of data mining algorithms. In this paper, we study primarily the feature selection of network traffic and its impact on the detection rates. We use KDD CUP 1999 dataset as the sample for the study. We group the features of...
Abstract A new method of using Vis/NIR spectroscopy technique to identify the varieties of red wines was studied. Through comparing modeling performance built by different amounts of independent components, 20 independent components (ICs) extracted by independent components analysis (ICA) were employed as the inputs of the BP neural networks and were consider to be important parameter for calibration...
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