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Nowadays, car following models, as the most popular microscopic traffic flow modeling, are increasingly being used by transportation experts to evaluate new Intelligent Transportation System (ITS) applications. This paper presents a car-following model that was developed using an adaptive neuro fuzzy inference system (ANFIS) to simulate and predict the(More)
The control of car following is essential to its safety and its operational efficiency. For this purpose, this paper builds a linear, continuous and time-delay model of car following. And then, presents a controller based on an adaptive network fuzzy inference system (ANFIS) for the car-following collision avoidance system to adaptively control the speed of(More)
Reliable event detection at the sink is based on collective information provided by source nodes and not on any individual report. Reliable data gathering and transmission are important in wireless sensor networks. While node redundancy in WSNs, increases the fault tolerance, no guarantees on reliability levels can be assured. Furthermore, the frequent node(More)
BACKGROUND Extracts of milk thistle (MT), Silybum marianum, have been used as medical remedies since the time of ancient Greece. Methotrexate is a potentially hepatotxic drug. OBJECTIVES To clarify the hepatoprotective effects of MT on methotrexate. MATERIALS AND METHODS From January 2010 to April 2010, 30 male rats were recruited into three 10-rat(More)
Keywords: Feature extraction Curve length method Support vector machine K-nearest neighbors Multi layer perceptron Fusion (hybrid) classification Arrhythmia classification Supervised learning machine a b s t r a c t In this study, a new supervised noise-artifact-robust heart arrhythmia fusion classification solution, is introduced. Proposed method consists(More)
OBJECTIVE In this paper a new nonlinear system identification approach is developed for dynamical quantification of cardiovascular regulation. This approach is specifically focused on the identification of the heart rate (HR) baroreflex mechanism. The principal objective of this paper is to improve the model accuracy in the estimation of HR by proposing a(More)
Congestion occurs in wireless sensor networks (WSNs) when nodes are densely distributed, and/or the application produces high flow rate near the sink due to the convergent nature of upstream traffic. Congestion can lead to packet losses, delay, and energy waste due to a large number of packet drops and retransmissions. Therefore it is necessary to carry out(More)
Distributed and dynamic nature of Grids causes the probability of failure is great in such systems. So fault tolerance has become a crucial area in computational Grid. In this paper, we propose a new Genetic Algorithm that used RFOH for having reliable job scheduling in computational Grid. This strategy maintains the fault occurrence history of resources in(More)