The convergence of the electric power industry toward the competitive framework throughout the world has led to a market environment replacing the traditional monopolistic scenario. It has given rise to more efficient production and distribution of electricity, provided a better choice to market participants while maintaining the security and reliability of the power supply. Earlier power utilities

Millimeter-wave (mmW) range for 5G communication is an innovative field of research that allows communication at ultra-high speed with low latency. Patch antennas due to their compact nature and multiband behavior are of great interest for 5G wireless communication. In this paper, triband H-shaped slotted monopole antenna is designed and its higher-order modes are presented in terms of resonant frequencies

The aggregation behavior shown by swarm robots to establish coordination among each other is a basic behavior that is used in swarm robotics. This study proposes an aggregation method based on flocking for self-organizing aggregation behavior in swarm robotics. In the proposed method, a decision-making structure that determines robot movements for the swarm robots to show aggregation behavior is utilized

Wireless power transfer is an emerging technology due to its wide applications in wireless charging of electric vehicles, implanted medical devices, etc. To make wireless power transfer more efficient and user-friendly, the designer must know its implementation's extremes. One crucial part of the above need is the proper design of a high-frequency transformer in the wireless power transfer system.

In this paper, floating memcapacitor and meminductor emulators have been proposed using voltage differencing current conveyors, memristor and grounded capacitor. Meminductor emulator has been easily obtained from memcapacitor emulator and vice versa by interchanging the positions of memristor and capacitor. The proposed designs of memcapacitor and meminductor emulators are very simple as compared to

In this paper, a new method is presented to design a \(H_\infty\) decentralized static output feedback controller for the load frequency control problem. A power system which includes diesel generator, wind turbine, photovoltaic panel, and battery storage in each area is considered as case study. It is assumed that all control loops of the interconnected multi-area power system are closed under network

In this paper, the problem of full area coverage in wireless sensor networks is investigated by keeping the minimum number of heterogeneous sensor nodes. The coverage problem is considered for both deterministic and probabilistic heterogeneous sensors. We propose a new distributed game theory-based algorithm to maximize the area coverage while minimizing the number of activated sensors. Due to the

Recently, the increasing penetration of wind energy has provided various ways to operate the system at low cost and low pollution. On the other hand, the noticeable uncertainties caused by the forecast error of wind speed restrict the utilization of wind energy. Moreover, it brings unprecedented challenges to maintain system adequacy. One prevailing solution is to maintain sufficient spinning reserve

In this paper, we suggest a new transmission technique for cognitive radio networks. The proposed adaptive underlay/interweave transmission technique is evaluated in the presence and absence of primary interference. The proposed adaptive underlay/interweave transmission technique offers 1–3 dB gains with respect to conventional cognitive radio networks (CRN) using either underlay or interweave. The

This paper presents a new and efficient hybrid multi-objective optimization algorithm based on marine predators algorithm (MPA) and differential evolution (DE) for solving the economic emission dispatch (EED) problem considering wind power uncertainty. In this algorithm: (1) the MPA is improved properly and extended to the multi-objective domain; (2) the improved MPA and the DE algorithm are combined

Seizure detection from EEG signal plays important role in diagnosing and treating the Epilepsy disease. Development of Low complexity detection algorithms is needed in order to design efficient automatic epilepsy detection devices. In this paper, an automatic seizure detection algorithm proposed using Discrete Wavelet Transform and Cluster-based Nearest Neighborhood machine learning algorithm. The

The single controller setup, in software-defined data center, is purposed to support dynamic load and scalability of switches. As such, multiple controller implementations become a promising approach to handle huge volumes of traffic. Co-locating the controllers along with switches becomes mandatory. In this article, we propose a controller placement model using independent dominating set, which identifies

IEEE 802.11ah introduces the restricted access window (RAW) mechanism at the MAC layer to mitigate the effect of collisions and to improve the network performance. In an Internet of Things network with heterogeneous traffic requirements, the challenging aspect of the RAW mechanism is to choose the optimal number of RAW slots (ONRs) and to dynamically assign the RAW slots according to the transmission

Brain tumor diagnosis and classification still rely on histopathological analysis of biopsy specimens today. The current method is invasive, time-consuming and prone to manual errors. These disadvantages show how essential it is to perform a fully automated method for multi-classification of brain tumors based on deep learning. This paper aims to make multi-classification of brain tumors for the early

Balanced current sharing and output voltage control of paralleled DC–DC converter modules are essential requirements for enhanced reliability and power capacity. These control goals are challenging due to the load, supply voltage, line impedance uncertainties, inter-couplings of the converters, and open circuit faults. To achieve these goals, this paper proposes two novel adaptive fuzzy backstepping

The vibration signal of hydraulic generator is non-stationary. Features of the early fault signal are weak and thus are difficult to be extracted. In this paper, features of the bearing vibration signal for fault diagnosis are extracted by using the variational mode decomposition (VMD) and singular value. Fault diagnosis is carried out by using the support vector machine (SVM). Firstly, several intrinsic

In this paper, firstly, a new basic structure is proposed, and then, the extended structure which is made up of the series connection of the basic units is proposed. Two algorithms are presented to calculate the magnitude of DC voltage sources in order to generate all positive and negative voltage levels (even and odd) at the output. The suggested structure is optimized to generate the maximum number

This study addresses the design and analysis of distributed formation tracking control with disturbance rejection capability for a group of quadrotors that are perturbed by time-varying external disturbances. The proposed approach consists of two control loops: inner-loop and outer-loop control. In the inner-loop control, feedback linearization (FL) of the quadrotor system in the presence of disturbance

Optimal reactive power dispatch (ORPD) problem basically focuses optimally on management of reactive power sources such as distribution generation (DG) units and reactive power compensation (RPC) devices. Its main purpose, especially in distribution grids, is real power loss and reactive power cost minimization subject to satisfying a set of constraints. On the other hand, optimal site of these devices

Diesel generator emulators (DGEs) are commonly used instead of real diesel generator units in laboratory-scale studies for their lower noise, more flexible parameters design and lower environmental pollution. This study presents a new control system in αβ framework for a DGE based on power electronic converter. The proposed control system has two parallel control paths including the frequency path

Optimizing the Photovoltaic (PV) hosting capacity (HC) considering the irradiance's variability properly and the load during the day represents a critical matter. Typically, the high PV HC results in overvoltage and high voltage fluctuations at the point of common coupling (PCC) with the utility. In this paper, a new algorithm is proposed for enhancing PV HC by considering the smart inverter functions

Multilevel inverters (MLIs) have received a significant attention in literature due to advent of various topologies utilising power semiconductor switches with reduced voltage stress. However, the increased component count and susceptible nature of semiconductor components increase the chance of failure in inverter. The fault in power switches, either open circuit or short circuit, if persist for long

Energy storage system (batteries) plays a vital role in the adoption of electric vehicles (EVs). Li-ion batteries have high energy storage-to-volume ratio, but still, it should not be charged/discharged for short periods frequently as it results in degradation of their state of health (SoH). To resolve this issue, a conventional energy storage system (ESS) is being replaced by hybrid ESS (HESS). The

In this paper, ANN-based MPPT controller is implemented for Proton Exchange Membrane Fuel Cell (PEMFC) powered Interleaved Resonant PWM High Step Up (IRPHS) converter and SVPWM technique is used for three-phase voltage source inverter to reduce THD. The proposed system is energized using PEM Fuel cell (PEMFC) with variable temperature as its output voltage is highly dependent on operating temperature

The current-controlled grid-connected inverter with LCL filter is widely utilized in the distributed power generation systems at remote places with weak grids. Oscillations in weak grids have raised the stability issue in grid-tied inverter systems, and the quality of the injected power into the grid is highly affected by the variations of grid-side inductance. In this study, a multi-loop control has

Attitude control of unmanned rotorcrafts (UR) is most critical phase of flight control system design since it has main role in system stability and maneuverability. This paper presents a novel attitude control scheme for an UR. In this research, a polytypic linear parameter varying (PLPV) model of unmanned helicopter is derived based on its nonlinear dynamic model and a set of linear matrix inequalities

Source code reuse detection has become of growing significance as a common plagiarism prevention practice in academic research. For a large collection of source codes, the manual detection of the code reuse seems impractical, and there is a vital need for automatic and highly accurate tools. This paper introduces a structure-based approach for recognizing source code (SOCO) reuse in reference programs

In this paper, we simulated a new line tunnel field-effect transistor (TFET) with a Z-shaped gate. The proposed Z-TFET generates vertical tunneling due to the presence of the front gate over the entire source region. This generates faster tunneling between the source and the channel region, providing a 3-decade improvement in drain current compared to conventional DG-TFET. The ambipolar current is

Contemplating the alarming increase in emission of greenhouse gases and global energy demand, electric vehicles (EVs) powered by both the grid and solar photovoltaic (PV) systems pose an effective solution. PV arrays reduce the dependence of EVs on the utility grid for charging. As EVs store energy, they can apportion power to fulfill load demands during peak hours. This paper evaluates the impacts

Discrimination of power transformer inrush from fault current is most important to proper operation of differential relays. Most differential relays discriminate the inrush current from short circuit fault according to high content of second harmonic of inrush. Unfortunately, in some power system operation, it has been seen that this algorithm is not accurate enough due to the presence of some kinds

During the movement of the ship, due to the influence of wind, waves, currents, uncertain model parameters and related noise, there is a certain deviation between actual model and the theoretically model, and the system noise is cross-correlated. In this case, the traditional wave filtering algorithms based on accurate model and independent Gaussian white noise will have some deviation or even divergence

Quantum-dot cellular automata (QCA) technology has been known as an appropriate paradigm for implementing low power consumption digital circuits and different high-performance computations at nanoscale. Considering its nature, this technology has shallow energy losses. Besides, an adder is one of the main parts in the digital circuit designs. Moreover, full adder circuits are the basic units in the

Foliar characteristics, especially the overall leaf shape, are useful features for the taxonomic identification of plants. Computer-aided plant species identification systems make it possible to investigate a large number of leaves in a short period of time. In this study, a fully automatic system was developed to accurately classify eight species of maples ( Acer L.) in Iran using the leaf shape characteristics

Due to the uncontrollable growth of data generation in various networks, rapid clustering of massive datasets is seriously demanded in order to reveal the hidden structure of data as well as discovering the relations among samples. Among the clustering approaches, density-based clustering methods showed an acceptable processing speed to encounter with big data. However, they have some fixed parameters

The recently introduced flux switching permanent magnet motor attracts a lot of attention thanks to a robust design, better heat dissipation, high reliability, high performance. The crucial step in developing the PM motor for different applications is the geometry optimization. In this paper, the modified multi-level multi-objective optimization method which combined Taguchi and response surface methodology

Discriminative patterns are sets of characteristics that differentiate multiple groups from each other, for example, successful and unsuccessful medical treatments. The objective of the discriminative pattern mining task is to discover a set of significant patterns that occur with disproportionate frequencies in different class-labeled datasets, generally dataset $$ D^{ + } $$ D + against dataset $$

In the presented work, a dynamic model is provided for the wound-rotor induction machines with short-circuited stator winding. Both inter-turn phase-to-ground and inter-turn phase-to-phase short circuit faults are considered in the provided model. The self- and mutual-inductances of the windings of the faulty machine are the parameters of the provided state-space equations. As well as the machine electromagnetic

The optimum installation of distributed generation (DG) units in distribution systems has always been challenging due to the continually increase of electrical energy demands. However, the improper installation of DG units may have negative impact on the power quality of the distribution system. Voltage sag is one of the most important power quality problems, which has the bad effects on the performances

A new approach for implementation of implant free In0.53Ga0.47As/InAs/In0.53Ga0.47As composite delta-doped stepped poly gate MOSFET is one of the challenging devices due to their inherent advantages of large electron mobility as a comparison with conventional bulk MOSFETs. The minimization of the defect density and border traps at the channel interface, due to the InP layer is one of the attractive

Optimal reactive power management is one of the key operational aspects for efficient planning of distribution system. This study has become more challenging with renewable energy sources integration into the system. Objective of this paper is to address optimal reactive power planning in distribution system using hybrid optimization. This paper presents a comprehensive model for solving capacitor

In this paper, the deep convolutional neural networks (DCNNs) are studied to perform the complex feature extraction on the image in the convolution layer and to improve the final test accuracy of the network. By improving the DCNNs algorithm and framework, it can enhance the accurate extraction of the image features. We replace the fully connection layer of the original network with the global average

Dynamical analysis and chaos control of a synchronous reluctance motor (SynRM) with a constant and sinusoidal load torque are studied in this paper. The SynRM with load vibration perturbation exhibits pitchfork bifurcation, steady state behavior, double-scroll chaotic attractor and coexistence of attractors between steady state behavior and double-scroll chaotic attractors. Furthermore, an analog circuit

In order to reducing number of elements and increasing voltage gain in renewable energy systems, the multi-input converters are used. In this paper, a new soft switching multi-input boost converter is presented. In the proposed converter number of extra elements that be used to achieve soft switching is reduced and only one auxiliary switch is used. The main switches are turned on and off at zero voltage

In this paper, the problem of projective synchronization between time-delayed fractional-order nonlinear systems with mismatched fractional orders, non-identical time-delays, unknown parameters and external disturbances is investigated. To solve this problem, a time-delayed fractional-order integral sliding surface is firstly introduced. Then, based on the fractional-order Lyapunov stability analysis

This paper implements a parallel active power filter (APF) with a three-level inverter and an adaptive neuro-fuzzy inference system (ANFIS)-based controller for voltage regulation. The limitations with nonlinear industrial loads are that they have high power rating and conventional two-level parallel APF cannot be used for mitigating harmonics in such applications. Hence, here a multilevel inverter-based

In cognitive radio network, channel decision is critical assignment to utilize the unused spectrum band as secondary user without interfering with the primary user. Thus different criteria of available spectrum are exploited as per the requirement of secondary user to establish connectivity with the network for data transmission. Here multi-objective optimization based on ratio analysis (MOORA) algorithm

Cloud computing has found an important role in cost-effective and elastic network resource allocation community. Most researchers and practitioners have focused on cloud provider side for efficient resource allocation to end-users and to warrant their service-level agreements (SLAs). Due to heterogeneous user demands which request services from cloud data center networks, simultaneous satisfaction

In this paper, multi-objective particle swarm optimization (MOPSO) and continuous excitation distribution in the range of 0 to 2 are used for correction of the failed element in 5 × 5 planar antenna array for ISM band application by substituting role of nonoperational elements to remaining operational elements. It was found that up to 72% element failure at the various position of the array can be

In this manuscript, the design of a continuous super twisting control based on high-order sliding mode observer for a class of nonlinear systems is addressed. An analysis of stability of the system in closed loop with the proposed control-observer scheme is provided by means of Lyapunov approach, where sufficient conditions are given to ensure the convergence in finite time. Furthermore, a comparative

In this paper, a new U-shaped channel tunneling-based field-effect transistor (UTFET) with auxiliary gate above drain is proposed. The ambipolar current in the proposed is investigated, in which simulation results show that ambipolar current takes place, due to drain-to-drain tunneling similar to gate-induced drain leakage in conventional MOSFETs. By drain depletion in auxiliary gate-based UTFET, electric

Considering the diversity of proposed cloud computing services in federated clouds, users should be very well aware of their current required and future expected resources and values of the quality-of-service parameters to compose proper services from a pool of clouds. Various approaches and methods have been proposed to accurately address this issue and predict the quality-of-service parameters. The

This paper presents the problem model of multicarrier energy system management. The proposed problem includes three types of energy that is as electrical, natural and heating. Electrical and gas energies are as hub input, and hub output is as electrical and heating. The electricity energy provides using (1) renewable energy sources (RESs), electrical energy storage system, combined heat and power (CHP)

Isolated hybrid power systems (HPSs) with coordinated control of renewable energy sources (RESs) and energy storage devices (ESDs) with appropriate control techniques are studied in this paper for load frequency stabilization. The solar thermal power generation and photovoltaic systems are used as the primary source of generation in the designed test systems. The ESDs used are double-layer capacitor

The leader–follower consensus tracking is one of the important problems in multi-agent systems (MASs) which can be influenced by actuator faults. The main issue of the paper is fault occurrence, and the challenge is to design an appropriate decentralized fault-tolerant control (FTC) based on fault estimations to minimize the effects of actuator fault and maintain the tracking problem. In this paper

Quantum-dot cellular automata (QCA) is known as one of the best alternative technologies for CMOS on nano-scale dimensions, which allows the design of digital circuits with high speed and density. Decoders are considered as one of the most widely used combinational circuits. They also play an important role in designing circuits such as FPGA, CLB, and memory addressing. In this paper, we propose an

Current low-voltage load switches do not support remote disconnect/connect and real-time monitoring of a disconnect/connect state. Addressing to these issues, this paper presents a low-voltage load switch for a smart remote control system, which uses a one-chip microcontroller board and a DC step motor drive mechanism and provides the feedback on the switch status also. Arrears disconnect and full-pay

The purpose of this paper is to determine a multicast optimal route (OR) at a specific deadline for mobile sinks (MSs) using network coding (NC) in wireless sensor networks (WSNs). For this purpose, we first show that the solution of the problem of OR of MSs (ORM) is NP-hard; then to solve this problem, we propose several convex optimization models based, on the mixed integer linear model (MILP). In

The retina is the part of the eye that protects parts of light-sensitive cells. The retina consists of four main parts, namely the blood vessel system, fovea, macula and optic discs. Blood vessels are one of the characteristics that can help in the diagnosis of various retinal diseases. This research discusses the application of algorithms for detection of blood vessels in optic discs. The blood vessels

A multipath TCP (MPTCP) scheduler selects a suitable path for each data packet and helps to improve the performance of MPTCP. In this paper, we analyze various existing schedulers and find some current open issues like head-of-line blocking problem, receive window limitation, and out-of-order packet delivery. All these issues degrade the performance of MPTCP, which can be overcome by the careful design

Despite distributed generations (DGs) advantages, the presence of them can cause glitches in distribution networks. One of the typical glitches is a mismatched fuse and recloser in temporary short circuits, which is often remedied by fault current limiter (FCL). By calculating the expected benefits to distribution companies (DISCOs) in various value of loss load scenarios, once the uncertainty output