This paper focuses in two parallel objectives. First it aims in presenting a series of Artificial Neural Network models that are capable of performing prognosis of abdominal pain in childhood. Clinical medical data records have been gathered and used towards this direction. Its second target is the presentation and application of an innovative fuzzy algebraic model capable of evaluating Artific...

This paper presents the development and performance analysis of intelligent control techniques such as Sliding Mode controller and Fuzzy logic Controller for Brushless DC (BLDC)motor drives. Today, strong mathematical tools used in new control methodologies to design adaptive nonlinear robust controller with acceptable performance. One of the best nonlinear robust controller which can be used i...

To detect the wireless network equipment whether there is protocol vulnerability, using the method of modular design and implementation of a new suitable for Wi-Fi protocol vulnerability discovery fuzzy test framework. It can be independent of its transmission medium, produce deformity packet and implementation of the attack on the target system. The author firstly describes the wireless networ...

Customers often have various requirements and preferences on a product. A product market can be partitioned into several market segments, each of which contains a number of customers with homogeneous preferences. In this paper, a methodology which mainly involves a market survey, fuzzy clustering, quality function deployment (QFD) and fuzzy optimization, is proposed to achieve the optimal targe...

Abstract: Human’s action decision is based on wide targets and can respond flexibly under different situations. However, flexible adaptation to a dynamic changing environment is difficult but important for an autonomous control system. In this paper, a soft target based fuzzy predictive intelligent controller is proposed. Here, the soft target is defined as a target set which includes many targ...

In this paper, a fuzzy logic controller is designed and developed for control of Mean Arterial Pressure (MAP) of a patient during anesthesia using the anesthetic drug Isoflurane. Isoflurane is an anesthetic drug administered through a vaporizer based system. The main purpose of this paper is to provide a base for further real application .Here the patient is represented with a linear mathematic...

Human object extraction from infrared image has broad applications, and has become an active research area in image processing community. Combined with chaos differential evolution (CDE) algorithm and morphological operators, a novel infrared human target extraction method is proposed based on nonextensive fuzzy entropy. Firstly, the image was transformed into a fuzzy domain by fuzzy membership...

Fuzzy models describe nonlinear input-output relationships with linguistic fuzzy rules. A hierarchical fuzzy modeling is promising for identification of fuzzy models of target systems that have many input variables. In the identification, (1) determination of a hierarchical structure of submodels, (2) selection of input variables of each submodel, (3) division of input and output space, (4) tun...

This paper reports the evaluation of Fuzzy logic implemented on image, in MATLAB environment, used to implement different functions. In this paper, the in-built functions of MATLAB are implemented on image and the resultant images are displayed using different functions. Fuzzy inference system has been designed for four inputs, one output that tells whether the pixel under consideration is “low...

In Distributed wireless network, this paper propose the traffic management for controlling the congestion, in which routers are associated with intelligent controllers to manage buffers and transfer packets for wired/wireless networks. By analyzing various existing traffic control protocols, which estimates auxiliary network parameters such as link latency, bottleneck, bandwidth, packet loss ra...