This paper presents a rotation-invariant and computationally efficient no-reference image quality assessment (NR-IQA) model. It estimates the image quality based on texture and structural information associated with the images. The human visual system (HVS) uses perceptual features such as texture and structure as primary information to understand the visual scene and the image content. Moreover, the

Ultrasonic welding has been accomplishing as a popular joining method in the field of electrical and electronics components owing to its capability of making good quality similar and dissimilar joints in an extremely short duration consuming very less power. The present work investigates the effects of welding energy on the mechanical, thermal and microstructural characteristics of the weld joint.

Drone detection and classification, important in military and civilian applications, are performed using different sensor signals. Proposed study handles this task using Radio Frequency (RF) signals utilizing basic machine learning methods. It is composed of two main stages as feature extraction succeeded by training/testing of the model. In feature extraction stage, valuable information for classification

Cable routines of most of the commercial transient simulation software like EMTP do not have provision for including the contribution of semiconductor screen in cable impedance and admittance model, although mathematical formulations of impedance and admittance of cable with single and double semiconductor screens are available in the existing literature. Here an attempt is made to develop a general

In this work, we deal with classification of mobile robot locations into semantic categories such as room, corridor, and doorway using 2D laser data. Previous studies were generally able to distinguish room and corridor classes; however, the classification of doorway locations has not been satisfactory. To increase the classification accuracy of doorway class, we proposed a new point-based deep learning

Multi-objective capacitated multiple allocation hub location problem (MOCMAHLP) is a variation of classic hub location problem, which deals with network design, considering both the number and the location of the hubs and the connections between hubs and spokes, as well as routing of flow on the network. In this study, we offer two meta-heuristic approaches based on the non-dominated sorting genetic

Image enhancement methods are applied to medical images to reduce the noise that they contain. There are many academic studies in the literature using classical image enhancement methods. Ultrasound imaging is a medical imaging method that is used for the diagnosis of diseases. In this study, speckle noises with Rayleigh distribution at four different noise levels (σ = 0.10, 0.25, 0.50, 0.75) are added

Phase synchronization and frequency tracking are essential part of control unit design for the grid -tie power converter of the efficient energy conversion system. A robust but straightforward algorithm has been proposed here using a digital zero-crossing detector (ZCD) circuit. The ZCD is made to be vigorous by a D-latched based implementation against the multiple zero-crossings in the synchronizing

In this paper, a simple control methodology is proposed to stabilize the position of the sprung mass of the quarter car system. The simplicity of the structure of the proposal facilitates the application in real systems. Such methodology allows five different continuous sliding-mode controllers to be selected by means of two similar designs to mitigate the chattering effect. These robust controllers

A novel double annular-ring microstrip antenna, split into six sectors, is proposed to achieve multiband operation with high gain and impedance bandwidth. The gaps on the driven and parasitic patches excite resonant frequencies that are located in the Ku-, K-, and Ka-bands thus making the antenna capable of these multiband applications. The present design is numerically and experimentally investigated

The use of carbon tubes filled with paraffin as Phase Change Materials (PCM) in a battery module designed for Electric Vehicles (EV) is experimentally studied in this manuscript. Three different placements of such tubes in between twenty 18650 battery cells are proposed and evaluated based on the measured temperature profiles inside the module under discharge rates of 1, 2, and 4 C (50, 100, and 200

Under the trend of economic globalization, intelligent manufacturing has attracted a lot of attention from academic and industry. Related enabling technologies make manufacturing industry more intelligent. As one of the key technologies in artificial intelligence, big data driven analysis improves the market competitiveness of manufacturing industry by mining the hidden knowledge value and potential

This paper presents the control strategy for parallel operation of an inverter to eliminate DC & AC circulating current. This paper also analyses the cross-current between parallel connected inverter due to the difference in output voltage magnitudes of inverters, the phase difference of inverter output voltages and difference in DC offsets present in inverter output voltages. The circulating current

This paper proposes a robust control for wheeled inverted pendulum (WIP) taking into account the wheel position and pendulum angle in the presence of uncertain disturbances. The proposed control algorithm is a combination of time-varying sliding mode control (TVSMC), exponential reaching law (ERL), and nonlinear feedback control (NFC) to eliminate the chattering phenomenon and arrive at better stability

This paper proposes a design of low complexity, reconfigurable, and narrow transition band (NTB) filter bank (FB). In our proposed Modified Frequency Response Masking (ModFRM) architecture, the modal filter and complementary filter in the conventional FRM approach are replaced by a power complementary and linear phase FB. Additionally, a new masking strategy is proposed by which an M-channel FB can

A new hybrid Zhang neural network (HZNN) model is formulated to solve time-varying matrix inversion problem. The network is designed such that it encompasses the goodness of both gradient neural network (GNN) and Zhang neural network (ZNN). The stability of the network and convergence results are established theoretically. The rate of convergence of HZNN model is much faster compared to the classical

This study investigated the heat transfer characteristics of a Closed-End Thermosyphon (CE-TPCT) made of copper tubes with 5.5 mm diameter. The experiments were conducted with working substance filling rates of 0%, 30%, 50%, and 70% of the volumetric evaporator section, the evaporator temperatures of 50, 70, and 90 °C and inclination angle of 90°. The lengths of the evaporator section, adiabatic section

In this work, the design and implementation of a three-phase ± 100 kVAR energy quality regulator (EQR) which is capable of providing reactive power/neutral current compensation, load balancing as well as low order current harmonic mitigation is presented. The proposed EQR is based on three-leg four-wire voltage source converter topology with split capacitors in the DC link. At first, the power stage

Induction Hardening (IH) process contributes to the improvement of the mechanical properties of the steel. In this application, the inverter operates at resonant frequency for high operating performances. However, this is usually accompanied by steel characteristics variation under temperature effect especially the magnetic permeability. This paper proposes two approaches for resonance frequency adaptation

Recycling of plastic waste (PW) is one alternate approach to reduce the adverse impact on environment despite many control measures adopted around the world. Current study introduces various types of PW as a binding material to completely substitute cement to produce cement-less paver blocks. The constituent of paver block comprises of mixture of different types of PW in different proportion mixed

Rapid progress in deep learning (DL) is benefitting almost all fields including ‘Remote Sensing’. Until now several deep convolutional neural networks (DCNN) are proposed, every one of them gives distinct results according to its depth as well as hyperparameters. It’s very arduous to develop these DCNNs from scratch because it requires huge efforts and computing resources. Transfer learning (TL) is

River basins are one of the most dynamic terrains on Earth, therefore, river morphology should be monitored continuously and its effects on the environment (i.e. natural hazards) should be mapped whenever possible. This study was carried out to quantify and visualize –flood- induced morphological changes in meander structures by UAV-based monitoring. Two-year (2018 and 2019) field surveys were conducted

Interaction with soil strengthening is a critical problem in the construction of reinforced soil structures. It is therefore, important to examine the pullout mechanism and determine the relationship between soil and reinforcement. Most of the pullout experiments that have been performed in geotextile to date. This research was conducted to evaluate the pullout resistance of plain and deformed steel

For fuel cell applications, a module-integrated dc/dc converter with the isolation capability is an important part of a power distribution system. It increases the low input voltage of a fuel cell to a desire high voltage and behaves as an interface connection circuit. There are several isolated dc/dc converters for connecting a fuel cell module to a power load. Among them, Flyback converter is a good

In this work, the generation of circular polarization (CP) in two different dielectric resonator antenna (DRA) elements (one element gets energized by the offset conformal-strip and another one is by the offset microstrip-slot) is precisely explored. CP radiations from the presented DRA elements are acquired by removing a proper asymmetrical notch from the rectangular dielectric resonators (rDRs) and

Parkinson’s disease (PD) causes gait impairments resulting in tremor, balance instabilities, increased fall risk, and disability. The current clinical diagnosis success rate is around 80%. Thus, automated classification of these impairments in gait with machine learning techniques can serve as an assessment tool for identification of PD. The primary focus of the study is to investigate anthropometric

Increasing penetration of renewable energy sources reveals the concept of dc microgrid which has the advantages of low cost and low losses because of the elimination of the AC/DC conversion processes. The most frequently encountered power quality problem in DC microgrid is voltage fluctuations due to the intermittent nature of renewable energy sources. Direct current (DC) electric spring (DCES), which

Robots are widely used in manufacturing industries to perform various assembly operations given by a planner and such planner should be capable of performing necessary predicate testing to generate a feasible solution. Geometric feasibility (GF) is a pre-requisite and most essential assembly predicate that identify collision free paths to perform robotic assembly actions. However, the automated GF

In an effort to reduce energy consumption and expensive Co content, herein we report the effects of Co content on microstructure and microhardness of widely studied AlCoxCrFeNi high-entropy alloys produced by cost-efficient aluminothermic self-propagating high-temperature synthesis (SHS) method. Accordingly, the feasibility of SHS technique in the production of AlCoxCrFeNi master high-entropy alloys

An on-line compensation for the dead time strategy without the knowledge of the current direction is proposed for PMSM drive based on a current observer. The modifications of the motor reference voltages are achieved by an uncomplicated current observer working in conjunction with the feedforward dead time voltage estimator. Therefore, the distortions on phase currents and torque due to dead time are

Dental caries is a common disease affecting the health of humans. Tooth preparation is an essential method for the treatment of dental caries, and its effect determines the quality of dental caries restoration directly. At present, the doctor-patient ratio of dentistry is incredibly unbalanced, and it is challenging to meet the increasing demand for tooth preparation. Besides, it is prone to produce

The present study numerically describes the nature of the arising boundary layer along an isothermal vertical plate, on which is mounted a bluff body. The investigation parameter is the cross-section shape of the bluff body, which includes a square, circular, and prismatic cylinders. To entirely embedded cylinder in the incoming boundary layer, the simulations include short cylinders with an aspect

The location of radiation sources in wireless networks is a key factor to characterize their contribution to electromagnetic exposure levels in order to deploy future networks that account for minimizing electromagnetic field levels. In relation to wireless local area networks, considering that mobile communication devices comply with the SAR (Specific Absorption Rate) limits imposed by the international

The rapid growth of cloud computing in the last decade has led to an increasing concern about the energy requirement of cloud data centers. Dynamic virtual machine (VM) consolidation is an effective way to tackle this issue, where VMs are executed on as few physical machines (PMs) as possible. Meanwhile, VM placement must be performed strategically, by considering different factors of the available

Images captured in foggy weather conditions suffers from inevitable problems such as low contrast, blurriness and less visibility. In many computer and vision applications like surveillance, object detection, object tracking and navigation, these low-quality images cannot be used and it requires improvement in the image quality. Different algorithms have been proposed in this direction and to upgrade

In this paper, a novel PIλDND2N2 controller is designed for an Automatic Voltage Regulator (AVR) in a power system and is studied in this paper. AVR is responsible for keeping the terminal voltage of a synchronous generator at a specified interval. The proposed control design is achieved by deploying for the first-time the coyote optimization algorithm (COA) in an AVR system by optimizing a novel objective

The Pervious Concrete Pile (PCP) is a technique that has emerged as an innovative method to improve radial consolidation and the bearing capacity of soft soils. The PCP, a stiffer vertical column (pile), has voids on the surface that accelerate the radial consolidation and eventually improve soft soils' bearing capacity. Since the PCP is stiffer material, the performance does not depend on the confined

The paper presents the results of theoretical and experimental research related to the uncertainty in the elastic modulus measurement on different types of tensile testing devices and their comparison. Factors that affect the uncertainty in the measurement of the elastic modulus were defined. Analytical limits of the uncertainty in the elastic modulus, i.e. the limits of “acceptable” uncertainties

Many studies have analysed the steady-state of the isolated self-excited induction generator (SEIG) under balanced/unbalanced conditions. The parallel operation of SEIGs has also been widely studied. However, these analyses have the hidden assumption of an equal number of poles in all the parallel-connected machines. The necessity for expanding the already established power system in addition to integrate

Dielectric elastomers (DEs) are electroactive polymers that could be used as soft actuators, stretchable generators and sensors. Their performance is dependent on both their mechanical and dielectric properties. Particularly, the dielectric constant has been shown to be dependent on the state of mechanical stretch, which has to be comprehensively characterized across different modes of deformation

The study evaluated the performance of various machine learning methods in predicting tensile strength of microwave post-cured composite tailored for weight-sensitive applications. Using forty six training data pairs from the Box-Behnken design plan, an Adaptive Network-based Fuzzy Inference System (ANFIS) and Artificial Neural Networks (ANN) were built to predict the optimum tensile strength of polyurethane

In this paper, the problem of minimizing the smoothness index for an assembly line given a fixed cycle time and the number of workstations is studied. This problem which is known as the workload smoothing line balancing problem (WSLBP) is a mixed-integer quadratic programming problem. Until recently, this problem has only been tackled using heuristic approaches. Recently, there have been some attempts

Mobile ad-hoc network (MANET) is an infrastructure-less network of mobile nodes, connected by wireless links. Although mobility is the key characteristic of MANETs, yet the frequent movement of nodes may lead to link failure. This frequent topology change due to evasive mobility is one of the primary reason of Quality of service (QoS) degradation in conventional MANETs. If link failure time of already

The stock market currently remains one of the most difficult systems to model in finance. Hence, it is a challenge to solve stock portfolio allocation wherein an optimal investment strategy must be found for a curated collection of stocks that effectively maximizes return while minimizing the risk involved. Deep reinforcement learning approaches have shown promising results when used to automate portfolio

Automated target recognition systems are increasingly employed in sonar systems to reduce manning and associated challenges. Although passive acoustic target recognition is an exceptionally challenging endeavor especially in shallow water scenarios, it is being used by naval forces of the world by virtue of its inherent advantages compared to the alternatives. In order to address these challenges as