Suppression and synchronization of chaos in uncertain time-delay physical system

The mechanical horizontal platform(MHP)system exhibits a rich chaotic behavior.The chaotic MHP system has applications in the earthquake and offshore industries.This article proposes a robust adaptive continuous control(RACC)algorithm.It investigates the control and synchronization of chaos in the uncertain MHP system with time-delay in the presence of unknown state-dependent and time-dependent disturbances.The closed-loop system contains most of the nonlinear terms that enhance the complexity of the dynamical system;it improves the efficiency of the closed-loop.The proposed RACC approach(a)accomplishes faster convergence of the perturbed state variables(synchronization errors)to the desired steady-state,(b)eradicates the effect of unknown state-dependent and time-dependent disturbances,and(c)suppresses undesirable chattering in the feedback control inputs.This paper describes a detailed closed-loop stability analysis based on the Lyapunov-Krasovskii functional theory and Lyapunov stability technique.It provides parameter adaptation laws that confirm the convergence of the uncertain parameters to some constant values.The computer simulation results endorse the theoretical findings and provide a comparative performance.

Deep Learning Method to Detect the Road Cracks and Potholes for Smart Cities

The increasing global population at a rapid pace makes road trafficdense;managing such massive traffic is challenging. In developing countrieslike Pakistan, road traffic accidents (RTA) have the highest mortality percentageamong other Asian countries. The main reasons for RTAs are roadcracks and potholes. Understanding the need for an automated system forthe detection of cracks and potholes, this study proposes a decision supportsystem (DSS) for an autonomous road information system for smart citydevelopment with the use of deep learning. The proposed DSS works in layerswhere initially the image of roads is captured and coordinates attached to theimage with the help of global positioning system (GPS), communicated tothe decision layer to find about the cracks and potholes in the roads, andeventually, that information is passed to the road management informationsystem, which gives information to drivers and the maintenance department.For the decision layer, we projected a CNN-based model for pothole crackdetection (PCD). Aimed at training, a K-fold cross-validation strategy wasused where the value of K was set to 10. The training of PCD was completedwith a self-collected dataset consisting of 6000 images from Pakistani roads.The proposed PCD achieved 98% of precision, 97% recall, and accuracy whiletesting on unseen images. The results produced by our model are higher thanthe existing model in terms of performance and computational cost, whichproves its significance.

Morphogenetic Study of Pepino and Other Members of Solanaceae Family

This paper reports the findings regarding morphology, DNA markers and fruit quality of Solanum muricatum L., a newly introduced fruit in Hazara University, Pakistan, and other locally grown members of the Solanaceae family. In this study, RAPD (Random Amplified Polymorphic NA) based PCR report on phylogenetic affinities of pepino with brinjal, chilies, potato and tomato was also included. Total genomic DNA was isolated and 120 arbitrary decamers were applied to the genomic DNA of all these species. Only five out of the 120 decamers produced 27 polymorphic loci with the range of 400 - 1400 bp. We observed the specificity of markers, and primer B-08 amplified 700 bp locus linked to Solanum muricatum L., (Pepino), which could be used to identify this particular species of this family. Cluster analysis was also performed using the DNAMAN software (version 5.2.2.0) against the bivariate data collected from the products of several decamers. The UPGMA (Unweighted pair Group Method with Arithmetic Mean) analyses depicted three distinct groups, i.e. group I sorted out brinjal-tomato, group II sorted out chili-potato and pepino sorted out into its independent group III. Though on the basis of morphological traits pepino clustered with tomato, its DNA analyses proved it as a distinct species, far more related to the tomato. Moreover a total six parameters in biochemical analysis were studied, which revealed that pepino is a juicy fruit with maximum 93.25% moisture. This study could be helpful to maximize the new crop pepino in Pakistan.

Detection of parathion methyl using a surface plasmon resonance sensor combined with molecularly imprinted films

An ultra-sensitive and highly selective parathion methyl （PM） detection method by surface plasmon resonance （SPR） combined with molecularly imprinted films （MIF） was developed. The PM-imprinted film was prepared by thermo initiated polymerization on the bare Au surface of an SPR sensor chip, Template PM molecules were quickly removed by an organic solution of acetonitrilelacetic acid （9：1, v/v）, causing a shift of 0.5° in SPR angle. In the concentrations range of 10^-13-10^-10 mol/L, the refractive index showed a gradual increase with higher concentrations of template PM and the changes of SPR angles were linear with the negative logarithm of PM concentrations. In the experiment, the minimum detectable concentration was 10^-13 mol/L. The selectivity of the thin PM-imprinted film against diuron, tetrachlorvinphose and fenitrothion was examined, but no observable binding was detected. The results in the experiment suggested that the MIF had the advantages of high sensitivity and selectivity.

Robust Adaptive Multi-Switching Synchronization of Multiple Different Orders Unknown Chaotic Systems

Multi-switching synchronizatio of multiple different orders unknown chaotisystems confines hacking in the digital transmission process.Similarly,the suppression of undesirable chattering increases synchronization performance.This paper proposes a new robust synchronization contro technique and discusses the MSS of multiple different orders UC systems.This controller accomplishe quick convergence reduces the transient oscillations,an the rate of convergence decreases in the vicinity of the origin that causes the suppression of chattering.Analysis based on the Lyapunov direct method assures this convergence behavior with any positive values of the feedback gains.This work also provides parameters updated law that estimates the true values of unknown parameters.Numerical examples of five UC systems different orders are simulated.The computer based graphical results validate the efficiency and performance of the proposed RASC technique and the synchronization strategy when compare to peer works.In the simulation,the proposed synchronization strategy successfully recovers an encrypted received image on a communication channel.The article suggests some future research problems to extend the use of the proposed work.