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This paper applies the Artificial Intelligence technique called Genetic Algorithm (GA) to perform analog integrated circuits design, synthesis and optimization in order to reduce the development time and increase precision of this kind of circuits. In this work an accurate method to determine the device sizes in an analog integrated circuit on the basis of(More)
BACKGROUND In this research, the removal of natural organic matter from aqueous solutions using advanced oxidation processes (UV/H2O2) was evaluated. Therefore, the response surface methodology and Box-Behnken design matrix were employed to design the experiments and to determine the optimal conditions. The effects of various parameters such as initial(More)
The four V's in Big data sets, Volume, Velocity, Variety, and Veracity, provides challenges in many different aspects of real-time systems. Out of these areas securing big data sets, reduction in processing time and communication bandwidth are of utmost importance. In this paper we adopt Compressive Sensing (CS) based framework to address all three issues.(More)
We present a formalized, fully decentralized runtime semantics for a core subset of ABS, a language and framework for modelling distributed object-oriented systems. The semantics incorporates an abstract graph representation of a network infrastructure, with network endpoints represented as graph nodes, and links as arcs with buffers, corresponding to OSI(More)
This paper presents a computer-aided design (CAD) tool for automated sizing and optimization of analog integrated circuits (ICs). This tool uses artificial neural networks (ANNs) in order to deduce the device sizes that optimize the performance objectives while satisfying the constraint specifications. Neural networks can learn and generalize from data(More)
BACKGROUND Efficient use of energy in agriculture is one of the conditions for sustainable agricultural production. This study applies the data envelopment analysis (DEA) approach to the data of 95 randomly selected farms to investigate the technical and scale efficiencies of farmers with respect to energy use for sunflower production in Golestan province,(More)
This study compared a new regimen (group A: doxycycline, co-amoxiclav, omeprazole) and two routinely prescribed regimens (group B: amoxicillin, omeprazole, furazolidone, bismuth; group C: amoxicillin, clarithromycin, omeprazole) to find an acceptable first-line treatment option for Helicobacter pylori. The study population consisted of 189 patients who(More)
In this study vertically aligned carbon nanotubes (VA-CNT) was grown on anodized aluminum oxide (AAO) substrate. The synthesized AAO-CNT membrane was characterized using Raman spectroscopy, field emission scanning electron microscopy (FESEM), contact angle and BET. The pure water flux, humic acid (HA) (as representative of natural organic matters) rejection(More)
Multi-Sensor health monitoring systems are used to predict near future events of our health system. Each sensor generates humongous amount of data per second and needs to be processed in real-time. At the same time health monitoring systems are battery operated, thus they have rigid constraints on power and area of processing platform. Additionally, health(More)