with FuNe I AFC Neuro-Fuzzy System Bill C.H. Chang1 and Saman Halgamuge Mechatronics Research Group Dept. of Mechanical and Manufacturing Engineering The University of Melbourne, Australia bcch,[email protected] Abstract FuNe I AFC Fuzzy System is useful in mapping into a neural network that utilises the advantages of both neural and fuzzy systems. FuNe I architecture, previously used in classi...

Introduction Receptor for advanced glycation endproducts (RAGE) is a transmembrane pattern-recognition receptor of the immunoglobulin superfamily that is abundantly expressed in the lung and primarily located on the basal surface of alveolar type I cells. RAGE is implicated in ARDS as an important pathway to alveolar inflammation and, when its soluble form sRAGE is assayed in plasma or pulmonar...

After long-term exploration, it has been well established for the mechanisms of electrocardiogram (ECG) in health monitoring of cardiovascular system. Within the frame of an intelligent home healthcare system, our research group is devoted to researching/developing various mobile health monitoring systems, including the smart ECG interpreter. Hence, in this paper, we introduce a fuzzy classifie...

The focus of this work is to study the efficacy of TCP’s flow control algorithm on mobile devices. Specifically, we identify the design limitations of the algorithm when operating in environments, such as smartphones and tablets, where flow control assumes greater importance because of device resource limitations. We then propose an adaptive flow control (AFC) algorithm for TCP that relies not ...

In many big cities around the world, public transport operators (PTOs) have introduced automated fare collection (AFC) systems, which greatly facilitate the collection and management of transactional data in their public transport systems. The benefits to the PTOs are clear: based on the fine grained data gathered on the usage of their services, they can optimize their transport systems, which ...

This work develops an effective technique acoustic feedback cancellation (AFC) in the digital hearing aid (DHAid) devices. The normalized least mean square (NLMS) algorithm-based AFC method may suffer from a biased convergence. convergence problem is considerably resolved by prediction error (PEM)-based (PEM-AFC); however, it demonstrate slow proposed method’s main structure based two adaptive ...