Statistical characterization and bit-error rate analysis of lightwave systems with optical amplification using two-photon-absorption receiver structures

In this paper, the authors study the performance of a two-photon absorption (TPA) receiver in a typical communication system employing an optical amplifier. For the study, the authors develop a comprehensive performance analysis, taking into account noises due to an optical amplifier, shot noise, and thermal noise, using Gaussian approximation technique. In evaluating the performance of the system using this technique, the mean and the variance of the received signal will be derived. Comparing the results of receivers using the TPA process with that of a typical single-photon absorption (SPA) structure leads the authors to conclude that TPA receivers can be used when the speed of the electronic parts of the receiver structures is not too high, as expected.     

An analysis of reproductive motivation in Shiraz, Iran

In a sample of 260 married men in Shiraz, the relationship of fertility to demographic, socioeconomic, and psychosocial (perceived economic value of children) variables is studied. The number of children ever born is closely associated with duration of marriage, but socioeconomic variables also exert a significant influence, especially the wife's educational level. Recent fertility is more closely associated with age of wife, but also with ownership of modern goods, which is also the major factor in current contraceptive use. The perceived value of children appears unimportant, negligible in recent fertility and contraceptive use and showing only a slight positive relationship between expected reliance on children for support in old age and the number of children ever born.     

Seismic bearing capacity of shallow strip foundations in the vicinity of slopes using the lower bound finite element method

The seismic bearing capacity of shallow strip foundations in the vicinity of slopes was investigated by the use of the lower bound limit analysis in conjunction with the finite element method and the linear programming technique. The combination of the most probable failure modes including slope instability and ultimate bearing capacity makes the problem difficult to solve by conventional approximate methods such as the limit equilibrium, the bound theorems of the limit analysis, and the slip line methods since these are based on assumptions about either kinematically admissible failure mechanisms or statically admissible stress fields. The pseudo-static seismic loading scheme was adopted in the presence of both horizontal and vertical acceleration fields, and the soil-foundation interface was assumed perfectly rough. Parametric analyses were conducted to evaluate the most effective factors in the form of the dimensionless strength and geometry parameters. The results of the current study were found comparable with those in the literature, and the consistency of the results confirmed the robustness of the extended finite element lower bound formulation. It was shown that the normalized limit pressure is dramatically reduced as the earthquake acceleration coefficients increases, and that it increases with higher the soil strength parameters. Moreover, the threshold distance at which the influence of the slope diminishes was found to be a function of the soil strength parameters and the slope geometry.     

Synergy of ICA and MCDM for multi‐response optimisation problems

Of late, attempts are being made to optimise production system problems by minimum cost. A good available device in this area is response surface methodology. This methodology combines experimental designs and statistical techniques for empirical model building and optimising. In most situations simulated models for real world problems are non‐linear multi‐response, while responses are conflicting. The simultaneous optimisation of several conflicting responses is computationally expensive. So this makes the problem solving extremely complex. Since few attempts have been made to scrutinise this domain, in this paper the nonlinear continuous multi‐response problem is investigated. In order to tackle multi‐response optimisation difficulties, we propose a new hybrid meta heuristic based on the imperialist competitive algorithm. It simulates a socio–economical procedure, imperialistic competition. When there are some non‐dominated solutions in searching space, a technique for order performance by similarity to ideal solution is used to identify which non‐dominated solutions are imperialists and which ones belong to colonial societies. A particle swarm‐like mechanism is employed to model the influence of imperialists on colonies. The algorithm will continue until only one imperialist obtains all countries’ possessions. In order to prevent carrying out extensive experiments to find optimum parameters of the algorithm, we apply the Taguchi approach. Since there is no standard benchmark in this field, we use three case studies from distinguished papers in the multi‐response optimisation field. Comparing the results with some works mentioned in the literature reveals the superiority of the proposed algorithm.     

Theoretical and experimental investigation into friction stir welding of AA 5086

This research investigates the relationship between the microstructures of thermomechanically affected zone (TMAZ) and heat input in friction stir welding (FSW) of 5086 aluminum alloy. First, welding heat input has been predicted using a three-dimensional finite element analysis; then, welding experiments have been carried out on annealed and work-hardened conditions to study the developed microstructures and the mechanical properties of the welded metal. The results show that the temperature field in the FSW process is asymmetrically distributed with respect to the welding line. Also, both experimental and predicted data illustrates that peak temperatures are higher on the advancing side than the retreating side. In addition, the microstructures are strongly affected by the heat input, while the grain size within the TMAZ decreases with decreasing heat input per unit length during FSW.     

Investigation of the mechanical properties of a photocatalytic pseudo‐paint

Photocatalytic oxidative paints (e.g., a paint containing nano‐TiO₂) are used to break down volatile organic compounds to CO₂ by photooxidation reactions. In this research, a photocatalytic oxidative pseudo‐paint was made with acrylic–styrene copolymer latex, TiO₂ pigment, calcium carbonate extender, and TiO₂ nanoparticles as a photocatalyst. To investigate the effects of the pigment, extender, and nanoparticles on the mechanical properties of the samples and their relationship to their photocatalytic activity, different contents of the particles were dispersed in the paint formulation. The tensile strengths (TSs) of the samples were measured as the mechanical properties. The samples were characterized by scanning electron microscopy analysis. We found that up to 3% nano‐TiO₂ enhanced the mechanical properties of the pigmented resin, whereas beyond this, TS decreased. In samples containing 3% nanoparticles, the incorporation of 15% TiO₂ pigment caused optimized mechanical properties, and beyond that, TS decreased because of particle agglomeration. In the absence of nanoparticles, the samples showed improvements in the mechanical properties with up to a 40% loading of pigment. The results reveal that the samples containing nano‐TiO₂ and pigment showed the same trend for the mechanical and photocatalytic properties before the critical pigment volume concentration (CPVC). However, when the extender was incorporated or TiO₂ particles were loaded beyond CPVC, the mechanical and photocatalytic properties correlation was compromised, and they were not directly correlated. © 2015 Wiley Periodicals, Inc. J. Appl. Polym. Sci. 2016 , 133, 42885.     

Detecting the vehicle direction changes for routing algorithms and applications of vehicular ad hoc networks

Vehicular ad hoc networks will enable a variety of applications for safety, traffic efficiency, driver assistance, and infotainment in modern automobile designs. For many of these applications as well as for improving the stability of vehicular ad hoc network routing algorithms, it is necessary to know whether a steering wheel rotation has led to a change in the vehicle motion path. The problem is that some steering wheel rotations are temporary and do not lead to a change in the vehicle motion path. In this paper, a GPS‐free fuzzy sensor is designed for detecting the change of vehicle motion paths. The implementation results show acceptable precision. © 2012 Institute of Electrical Engineers of Japan. Published by John Wiley & Sons, Inc.     

Cd2+, Cu2+, Pb2+, Sr2+, and Y3+ binding characteristics of 17β‐estradiol molecularly imprinted polymer particles incorporated with dicyclohexano‐18‐crown‐6 for urine bioassay

The metal ion binding characteristics of molecularly imprinted polymer (MIP) submicron particles prepared using 17β‐estradiol (E2) as a template, and incorporated with dicyclohexano‐18‐crown‐6 (DCH18C6), were studied using differential pulse anodic stripping voltammetry. When Sr²⁺ was added to DCH18C6‐E2‐MIP particles already occupied by Cd²⁺, Cu²⁺, and Pb²⁺ inside the binding sites, a displacement reaction was observed: Cd²⁺/Cu²⁺/Pb²⁺‐DCH18C6‐E2‐MIP + Sr²⁺ = Sr²⁺‐DCH18C6‐E2‐MIP + Cd²⁺/Cu²⁺/Pb²⁺. This demonstrated that DCH18C6 had stronger binding affinity for Sr²⁺ than Cd²⁺ Cu²⁺ or Pb²⁺. Strong DCH18C6 binding affinity was also observed for Y³⁺. Atomic emission spectrometry showed that DCH18C6‐E2‐MIP particles (150 mg/mL) resulted in 52% binding of Sr²⁺ (2000 ppm, at pH 6.3 ± 0.1 and ionic strength of 0.1M NaNO₂). © 2011 Wiley Periodicals, Inc. J Appl Polym Sci, 2011     

Applying the noising method to find the best regression model

Regression analysis is one of the most applicable methods in statistical methodology used to find the best regression model according to the relationship among several variables in a system. The estimation of regression model, which is solved as a formulate optimization problem and making use of heuristic algorithms, is much simpler and faster than classic methods. Genetic algorithm (GA) as one of the heuristic algorithms had been used to solve this problem. In this paper, we extend the noising method as a recent combinatorial optimization problem to estimate the best regression model and evaluate its performances compared to GA. Also, in order to enhance the performance of our GA, we apply the Taguchi experimental design method to tune the parameters of the algorithm.     

The effects of polypropylene fibers on the properties of reinforced concrete structures

In this study, the results of polypropylene fibers reinforced concrete properties have been presented. The compressive strength, permeability and electric resistivity of concrete samples were studied. The concrete samples were made with different fibers amounts from 0 to 2 kg m⁻³. Also, the samples fabricated with coral aggregate and siliceous aggregate were examined and compared. The samples with added polypropylene fibers of 1.5 kg m⁻³ showed better results in comparison with the others. Moreover, coral aggregate concrete showed less electric resistivity and less compressive strength in comparison with samples fabricated of siliceous aggregates. It is concluded that the coral aggregates are not suitable for making concrete or using in concrete structures in the onshore atmosphere.