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Fuzzy clustering model is an essential tool to find the proper cluster structure of given data sets in pattern and image classification. In this paper, a new weighted fuzzy C-Means (NW-FCM) algorithm is proposed to improve the performance of both FCM and FWCM models for high-dimensional multiclass pattern recognition problems. The methodology used in NW-FCM is the concept of weighted mean from the...
Accurately locating the geographical position of Internet hosts has many useful applications. Existing approaches for host geolocation use Internet latency measurements, IP-to-location mapping and also geographical and demographical hints. In this paper, we investigate the applicability of the Maximum Likelihood Estimation (MLE) technique for Internet host geolocation. Our approach is based on a probability...
Techniques for high impedance current sensing and slope compensation, common challenges for current mode switched mode power supplies (SMPS), are presented. DCR sensing, limited by conventional low impedance sensing techniques, is thus possible, enabling power efficiency gains. Auto-ranging slope compensation based on a multiplication of input voltage VIN and switching frequency fsw allows for truer...
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