In today’s medical world, the patient’s data with symptoms and diseases are expanding rapidly, so that analysis of all factors with updated knowledge about symptoms and corresponding new treatment is merely not possible by medical experts. Hence, the essential for an intelligent system to reflect the different issues and recognize an appropriate model between the different parameters is evident. In recent decades, rough set theory (RST) has been broadly applied in various fields such as medicine, business, education, engineering and multimedia. In this study, a hybrid intelligent system that

The coming years may see the advent of distributed implantable devices to support bioelectronic medicinal treatments. Communication between implantable components and between deep implants and the outside world can be challenging. Percutaneous wired connectivity is undesirable and both radiofrequency and optical methods are limited by tissue absorption and power safety limits. As such, there is a significant potential niche for ultrasound communications in this domain. In this paper, we present the design and testing of a reliable and efficient ultrasonic communication telemetry scheme using

This paper introduces a method for extracting the Cole-impedance model parameters using a meta-heuristic optimization technique. The method is based on a single proposed resistor controlled oscillator (SRCO) where the unknown bio-impedance is embedded. At two different oscillation frequencies, the start-up oscillation condition is recorded. Then the corresponding nonlinear equations are solved using the flower pollination optimization (FPA) technique to find the optimum impedance parameters that minimize an objective error function. Experimental results are provided, and comparisons with model

Double-exponent fractional-order impedance functions are important for modeling a wide range of biochemical materials and biological tissues. Through appropriate selection of the two exponents (fractional orders), the well-known Havriliak–Negami, Cole–Cole, Cole–Davidson, and Debye relaxation models can be obtained as special cases. Here we show that an integer-order Padé-based approximation of the Havriliak–Negami function is possible to obtain and can be realized using appropriately configured Cauer/Foster resistor-capacitor (RC) networks. Two application examples are subsequently examined

The fractional-order lung impedance model of the human respiratory tree is implemented in this paper, using Operational Transconductance Amplifiers. The employment of such active element offers electronic adjustment of the impedance characteristics in terms of both elements values and orders. As the MOS transistors in OTAs are biased in the weak inversion region, the power dissipation and the dc bias voltage of operation are also minimized. In addition, the partial fraction expansion tool has been utilized, in order to achieve reduction of the spread of the required time-constants and scaling

Recently, fractional edge detection algorithms have gained focus of many researchers. Most of them concern on the fractional masks implementation without optimization of threshold levels of the algorithm for each image. One of the main problems of the edge detection techniques is the choice of optimal threshold for each image. In this paper, the genetic algorithm has been used to get the optimal threshold levels for each image to enhance the edge detection of the fractional masks. A fully automatic way to cluster an image using K-means principle has been applied to different fractional edge

This paper introduces an FPGA design methodology of a sample and bit permutation speech encryption system. Pipelining method is used to build the proposed system, which can have different number of permutation levels. The security of the system is evaluated using entropy, Mean Squared Error (MSE) and correlation coefficients comparing the different permutation levels. The results demonstrate the security of the proposed system, which enables its utilization in speech telecommunication. Hardware resources comparison validates the efficiency of the system. The designs are simulated using Xilinx

Energy and clean energy are big concerns and interests. As the needs differ from area to another, different solutions appear. Energy cost, availability, reliability and trading rules are important keys in energy market. Energy sharing is a hot topic as a consumer being a part of the sustainable distributed system also making benefits such as Prosumer. Blockchain technology provides more secure, distributed and fast way to transact financial payments between clients. This paper provide a simulation case for energy sharing concept using smart contract as a tool to rule the sharing process on

Carrier mobility for quantum dot infrared photodetectors is considered as one of the critical parameters to determine many important device’s performance parameters such as the electrical conductivity, drift velocity, dark current and photocurrent. In this paper a complete theoretical model of the carrier mobility for semispherical quantum dot structures is developed. This model is based on the solution of Boltzmann transport equation all over the device. A parametric study of the effects of the QD density and the dimensions of the QD on the carrier mobility is investigated. Finally, the

This paper presents a semi-analytical method for solving fractional differential equations with strong terms like (exp, sin, cos,…). An auxiliary parameter is introduced into the well-known Picard's method and so called controlled Picard's method. The proposed approach is based on a combination of controlled Picard's method with Simpson rule. This approach can cover a wider range of integer and fractional orders differential equations due to the extra auxiliary parameter which enhances the convergence and is suitable for higher order differential equations. The proposed approach can be