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This paper deals with the robust H ∞ control problem for a class of uncertain neural networks with discrete interval and distributed time-varying delays. The main purpose of this paper is to estimate robust asymptotic stability of the given neural network with H ∞ performance analysis γ . By constructing novel Lyapunov–Krasovskii functionals with triple integral terms, several new less conservative delay-dependent stability conditions for H ∞ control are obtained in terms of linear matrix inequalities. Numerical examples are given to illustrate the effectiveness of the proposed theoretical results. The method given in this paper shows less conservative results when comparing with some existing methods. [ABSTRACT FROM AUTHOR]

We investigated mass mortalities of koi, Cyprinus carpio Linnaeus, 1758, experienced in South Indian fish farms by virus isolation, electron microscopy, PCR detection, sequencing of capsid protein gene and transmission studies. Samples of moribund koi brought to the laboratory suffered continuous mortality exhibiting swimming abnormalities, intermittent surfacing and skin darkening. Irido-like virus was isolated from the infected fish in the indigenous snakehead kidney cell line ( SNKD2a). Icosahedral virus particles of 100 to 120 nm were observed in the infected cell cultures, budding from the cell membrane. Virus transmission and pathogenicity studies revealed that horizontal transmission occurred associated with mortality. PCR analysis of infected fish and cell cultures confirmed the presence of Ranavirus capsid protein sequences. Sequence analysis of the major capsid protein gene showed an identity of 99.9% to that of largemouth bass virus isolated from North America. Detection and successful isolation of this viral agent becomes the first record of isolation of a virus resembling Santee- Cooper Ranavirus from a koi and from India. We propose the name koi ranavirus to this agent. [ABSTRACT FROM AUTHOR]

This paper investigates the problem of delay dependent robust H ∞ control for a class of uncertain systems with distributed time-varying delays. The aim is to design a delay-dependent robust H ∞ control which ensures robust asymptotic stability of the system. The Delay derivative dependent robust H ∞ control criteria are obtained in terms of Linear Matrix Inequalities (LMIs). Numerical examples are given to illustrate the effectiveness of the proposed method. The results are also compared with the existing results to show the conservativeness. [ABSTRACT FROM AUTHOR]

[Display omitted] • A nonlinear system of equation arising in PPO-based rotating disc electrodes is studied. • The reliable and closed-form of expression of concentrations and current are obtained. • The effect of rotation rate on sensitivity and amplification factors is discussed. • Numerical and analytical results are compared for experimental values of parameters. The motivation for this work was to develop a theoretical analysis corresponding to the transport and kinetics of substrate and product in PPO-based rotating disk bioelectrodes. This model is based on a nonlinear reaction–diffusion system containing the nonlinear term related to the CEC' mechanism. The hyperbolic function approach was used to solve the nonlinear coupled system of reaction–diffusion equations. The approximate analytical expressions concentrations of phenol, catechol and o-quinone and current response for all possible diffusion and kinetic parameters values are reported. The bioelectrode's sensitivity and amplification factor towards phenol substrate were also presented in terms of rotation rate and enzyme layer thickness. The numerical solution of this problem is also reported using Scilab/Matlab program. Also, a satisfactory agreement is noted between the analytical and numerical results upon comparison. [ABSTRACT FROM AUTHOR]

Recent communications in wireless sensor networks (WSNs) have much new energy efficient protocols specifically designed, where energy awareness is an essential consideration. In WSNs large numbers of tiny sensor nodes are used as an effective way of data gathering in various environments. Since the sensor nodes operate on battery of limited power, it is a great challenging aim to design an energy efficient routing protocol which can minimize the delay while offering high-energy efficiency and long span of network lifetime. LEACH (Low Energy Adaptive Clustering Hierarchy) is one of the clustering key routing techniques used to reduce energy consumption. In this paper, we propose the work in MAC (Medium Access Control) layer, an energy efficient optimal head selection technique adopted node scheduling algorithm for clusters and rotating cluster head positions to evenly distribute the energy load among all the nodes by node scheduling concept of node active and sleep system in both homogeneous method to get energy saving result. Our proposed model yield better performance in energy savings and increased network lifetime. This optimal head selection technique adopted node scheduling scheme is properly implemented and simulation results show that our proposed model is giving improved energy efficiency and prolong the lifetime of WSNs. [ABSTRACT FROM AUTHOR]

This paper presents isolated high boost dc-dc flyback converter with high voltage gain suitable for renewable energy source. The circuit consists of active clamp circuit and boost converter with isolated transformer. The circuit employs capacitors are charged in parallel and discharged in series by isolated transformer inductors. The active clamp circuit is used during the turn off-period to reduce the voltage spike on power switch. To achieve high output voltage gain the flyback converter output terminal and boost converter output terminal are connected in serially with the isolated inductors with less voltage stress on controlled power switch and power diodes. PSIM software has been used for simulation. Hardware model implemented and tested in the laboratory. [ABSTRACT FROM AUTHOR]

• To design FD models with high accuracy. • Design FD model using HSA and PSO-CNN. • HSA for extraction of probability vector from actual signals. • PSO-CNN model is for learning the complicated non-linear relationship. • The PSO-CNN exhibits fast convergence rate. Fault diagnosis (FD) is considered as a hot research topic for prognostics and health management of machinery by the detection and identification of faults. The diagnosis of faults in rotating machinery is important for improving safety, enhancing reliability and reducing maintenance cost. Therefore, different research works have started to concentrate on the design of FD models with high automation and accurateness. This paper presents an FD model by integrating hierarchical symbolic analysis (HSA) and particle swarm optimization with a convolutional neural network (PSO-CNN) named HPC model. The presented HPC model initially undergoes feature extraction process using HSA. Then, the PSO-CNN model is utilized for learning the complicated non-linear relationship between the features and health conditions in an automated way. The PSO-CNN exhibits a fast convergence rate and involves a direct encoding mechanism as well as velocity operator to allow the optimal usage of PSO with CNN. For validation, a centrifugal pump dataset is employed. The simulation outcome showcased the superiority of the presence HPC model over the compared methods under different measures. From the detailed experimental outcome, it is shown that the presented FD model offers excellent results by attaining a maximum classification accuracy of 98.97 and 99.09 under two dataset namely dataset 1 and dataset 2 respectively. [ABSTRACT FROM AUTHOR]

In this article the author talks about the Nanomedicine which is an interdisciplinary field, where nanoscience, nano engineering, and nanotechnology interact with the life sciences. Topics discussed include Nanoparticles (NPs) are used as delivery vehicles for pharmaceutical agents, as bioactive materials, Selenium nanoparticles (SeNPs) are gaining importance owing to their excellent antibacterial properties.

Recently, light fidelity (Li-Fi) technology becomes important for rapid data transmission in the network. Integration of different communication technologies can be used to address the traffic limitations posed by increasing number of Internet users. Hybrid Wi-Fi/Li-Fi networks (HLWN) make use of rapid Li-Fi data transmission and Wi-Fi coverage So, the combination of them can resolve the limitations of both technologies and enhance the efficiency of the overall network. At the same time, the choice of access point (AP) remains a difficult task as the coverage regions of various networks overlapped with one another. Based on instant channel data, the traditional load balancing schemes allocate every client to a certain AP, offering the optimum solutions at a time instance. But it can results in several handoffs for clients and degrade the throughput performance. Therefore, this article develops a Mobility aware LB using Kho–Kho optimization algorithm (MALB-KKOA) for HLWN. The presented MALB-KKOA technique is investigated in two aspects such as It is permissible to have both several AP associations (MA) and a single AP association (SA) (MA). In the SA phase, every client is aided by an AP either Li-Fi or Wi-Fi where the MALB-KKOA model allocates every client to a particular network over a time duration to reduce handover. On the other hand, in the MA phase, every client is concurrently assisted by Li-Fi as well as Wi-Fi, and no vertical handover takes place. In addition, the MALB-KKOA model is mainly based on the approaches utilized by the players in a tag-team game named Kho–Kho. Moreover, the MALB-KKOA model computes an objective function for the minimization of packet loss and delay. The experimental validation of the MALB-KKOA model is tested and the results signified its promising performance over other recent approaches. [ABSTRACT FROM AUTHOR]

The fabrication of all-solid-state Z-scheme sonophotocatalysts is vital for improving the transfer rate of photogenerated electrons to remove antibiotics present in wastewater. Herein, a novel indirect Z-scheme ZnFe-layered double hydroxide (LDH)/reduced graphene oxide (rGO)/graphitic carbon nitride (g-C 3 N 5) heterojunction was synthesized using a simple strategy. The ZnFe–LDH/rGO/g-C 3 N 5 (ZF@rGCN) ternary composites were systematically characterized using different techniques. Results revealed that the 15%ZF@rGCN catalyst achieved a ciprofloxacin (CIP) degradation efficiency of 95% via the synergistic effect of sonocatalysis and photocatalysis. The improved sonophotocatalytic performance of the ZF@rGCN heterojunction was attributed to an increase in the number of active sites, a Z-scheme charge-transfer channel in ZF@rGCN, and an extended visible light response range. The introduction of rGO further enhanced the charge-transfer rate and preserved the reductive and oxidative sites of the ZF@rGCN system, thereby affording additional reactive species to participate in CIP removal. In addition, owing to its unique properties, rGO possibly increased the absorption of incident light and served as an electronic bridge in the as-formed ZF@rGCN catalyst. Finally, the possible CIP degradation pathways and the sonophotocatalytic Z-scheme charge-migration route of ZF@rGCN were proposed. This study presents a new approach for fabricating highly efficient Z-scheme sonophotocatalysts for environmental remediation. [Display omitted] • Indirect Z-scheme ZnFe LDH/rGO/g-C 3 N 5 (ZF@rGCN) was synthesized via simple strategy. • Synergistic effect of sonocatalysis and photocatalysis resulted in improved CIP degradation. • RGO enhanced charge transfer rate and preserved the redox sites of the ZF@rGCN system. • h+ and.•O 2 − were preeminent species in CIP abatement under US and visible light irradiation. • CIP degradation pathways and Z-scheme charge migration of ZF@rGCN were proposed. [ABSTRACT FROM AUTHOR]

This paper is concerned with the problem of delay-dependent robust H∞ control for a class of uncertain systems with two additive time-varying delays. A new suitable Lyapunov–Krasovskii functional (LKF) with triple integral terms is constructed and a tighter upper bound of the derivative of the LKF is derived. By applying a convex optimization technique, new delay-dependent robust H∞ stability criteria are derived in terms of linear matrix inequalities (LMI). Based on the stability criteria, a state feedback controller is designed such that the closed-loop system is asymptotically stable. Finally, numerical examples are given to illustrate the effectiveness of the proposed method. Comparison results show that our results are less conservative than the existing methods. [ABSTRACT FROM AUTHOR]

This paper deals with H∞ state estimation problem of neural networks with discrete and distributed time-varying delays. A novel delay-dependent concept of H∞ state estimation is proposed to estimate the H∞ performance and global asymptotic stability of the concerned neural networks. By constructing the Lyapunov–Krasovskii functional and using the linear matrix inequality technique, sufficient conditions for delay-dependent H∞ performances are obtained, which can be easily solved by some standard numerical algorithms. Finally, numerical examples are given to illustrate the usefulness and effectiveness of the proposed theoretical results. [ABSTRACT FROM AUTHOR]

In this paper, we propose a hybrid relay-reflecting intelligent surface (HR-RIS)-assisted cell-free (CF) massive multiple-input multiple-output (mMIMO) network to achieve consistent spectral efficiency (SE). The HR-RIS technique manipulates the propagation environment by reflecting and enhancing radio signals in desired locations, providing a symbiotic integration with CF mMIMO for future wireless communication systems. We first model uplink and downlink channels, obtaining minimum-mean-square-error estimations for efficient transmission paths. We then analyze the SE performance of the proposed system. To enhance sum spectral efficiency in downlink multi-antenna, multi-user, and millimeter-wave massive MIMO networks, we introduce a low-complexity hybrid precoding approach. The optimal analog equalizer is determined by converting the analog precoding matrix dimensions into square matrices and selecting a few discrete Fourier transforms to maximize the amplitude of corresponding wideband channel matrices. We employ the equal gain transmission technique to combine channel gains efficiently and ensure spectral efficiency. To mitigate inter-user interference, we propose an enhanced block diagonalization method for designing the digital precoder and combiner. Our study demonstrates that the proposed HR-RIS-assisted CF mMIMO system offers significant improvements in SE performance, paving the way for advanced wireless communication systems. [ABSTRACT FROM AUTHOR]