Interaction recognition in videos with body pose is gaining remarkable attention due to its speed and robustness. Recently proposed recurrent neural network (RNN) and deep ConvNets-based methods are showing good performances in learning sequential information. Despite these good performances, RNN lags behind in learning spatial relation between body parts, while deep ConvNets requires huge amount of

In recorded Electrocardiogram (ECG) signal, clinical information is masked by several noises and distortion resulting in low signal-to-noise-ratio (SNR). In this situation, an efficient pre-processing technique is required to improve SNR for efficient analysis of ECG signals. In this research article, performance of five pre-processing techniques viz. digital bandpass filter (DBPF), wavelet transform

In this paper, a stochastic multi-objective structure is introduced in joint energy and reserve market to allow energy generation companies participating in the short-term hydro-thermal self-scheduling with uncertainties. To solve this problem, an antlion optimization (ALO) algorithm is used. In addition, uncertainties including energy price, spinning and non-spinning reserve prices, output power of

This paper explains mathematical framework of physical phenomenon happening in nature and social opinion dynamics. It is divided into two parts. The first part deals with design of the trajectory tracking algorithm for multiple mobile robots and in the second part rendezvous algorithm is described. Trajectory tracking algorithm is designed using leader–follower approach in which each follower robot

Our work includes the study of synergistic efficiency of turmeric crude extracts and electrical pulses on breast cancer cell line, MCF-7 (an Estrogen Receptor alpha positive, weakly invasive, luminal epithelial-like). We assessed the bioactive compounds present in this extract by qualitative phytochemical screening tests. The antioxidant, phenolic and anticancer activity of untreated and pulsed extracts

This paper introduces the design and experimental analysis of an eight-port Ultra Wide Band (UWB)/Super Wide Band MIMO antenna with the with triple-band rejection characteristics. The proposed UWB design includes a square-shaped radiator and a shared partial ground with novel hexagonal-ring type fencing decoupling structure to achieve UWB and a high degree of isolation between radiating elements. The

Improving the microgrid fault ride-through capability and enhancing the transient performance of microgrid operation due to voltage sags is of great importance. This paper investigates the ride-through capability and feasibility of integrating a mutual inductance between the main grid and the microgrid under short circuit condition. The fault ride-through capability of the microgrid DGs is examined

This paper addresses the design of an adaptive sliding mode controller via geometric approach for a quadrotor unmanned aerial vehicle (UAV), suffering from inertial parameter uncertainty and disturbances. For this aim, the quadrotor dynamics described on the special Euclidean group SE(3) is decomposed into two cascaded subsystems, where the backstepping controller is developed during the position subsystem

The aim of this paper is to analyze and evaluate the sensitivity and non-linearity of graphene piezoresistive MEMS force sensor by optimizing its geometrical parameters. In this work, important factors affecting sensitivity and non-linearity were identified such as geometrical dimensions of microcantilever, modulus of elasticity of material, shape, placement, doping concentration, and dimensions of

One of the most challenging events for distance relays is a transient phenomenon known as power swing, which can have damaging results to the system. The occurrence of power swing can cause the impedance trajectory to enter protective zones of distance relays that may lead them to the wrong operation. Malfunction of distance relays can create instability in power systems, and a large blackout may occur

This paper examines the limits of power injected to the grid for the photovoltaic (PV) system. Usually, the PV system injects to the grid active power with reactive power equal to zero. However, it can be able to inject/absorb both powers according to the grid demand and maintain the stability of the grid characteristics (voltage and frequency). The proposed system consists of two main controllers:

Static Synchronous Series Compensator (SSSC) is the fact device that provides stable and controlled power transmission. The unequal load, power disturbances, and fault can cause power fluctuations in the system. In this paper, a more intelligent and optimized SSSC system design is presented with the integration of a fuzzy controlled differential evolution method. The method has analyzed the disturbance

Trajectory tracking is extremely difficult for rotorcrafts based on the nonlinear model and taking into account all the parameters of the system and especially considering the effects of flapping and the main rotor and its control tail in all directions. This paper describes the tracking route, based on nonlinear model and velocity control and feedback mode and Polytopic linear parameter varying (LPV)

The world energy system is slowly turning toward renewable energy resources. The concepts of distributed generation and microgrids are into implementation but still in the deliberation phase. The benefits of a small power system are its cost, easy installation, integration of renewable with non-renewable energy sources, and switching between on-grid/off-grid modes. Renewable energy-based microgrids

The liver is considered as one of the complicated organs in human body. It has close proximity to the neighboring organs in abdomen with numerous anatomical variations. It is difficult to find out the severity of disease connected to the liver unless the scanned image is subjected to segmentation process. The difficulty level also varies with the diseases that affect the liver. Any of the disease alters

Quadrotors are one of the Unmanned Aerial Vehicles (UAVs) that have many applications in the aerospace industries which require a high level of accuracy and innovation in control and stability. In this paper, a hybrid control structure is proposed for this system. The sliding mode controller (SMC) is the foundation of this control structure. This controller, despite its high stability capability for

The load-frequency control is a matter of interest in power system operation as it addresses the problem of controlling the system in response to the disturbances. A well-known solution to this problem is feedback stabilization through Linear Quadratic Regulator. The observability condition has to be satisfied for the implementation of LQR, but for certain cases of multi-source power systems this criteria

This paper proposed a multiple-node hormone regulation neuroendocrine-proportional-integration- differential (MnHR-NEPID) controller based on adaptive safe experimentation Dynamics (ASED) for nonlinear multi-input-multi-output (MIMO) systems. In the existing neuroendocrine-PID (NEPID) controller of the single-input-single-output (SISO) system, only a single node of hormone regulation is used due to

Glaucoma is a critical retinal disorder due to high intraocular pressure (IOP) with in the eye. It causes irreversible damage of the optical nerve head (ONH). The available glaucoma detection methods using decomposition techniques with gray images or only green channel images are less accurate. In this paper, a more accurate method for glaucoma detection using image channels (ICs) and discrete wavelet

In this paper, a generalized algorithm is proposed to balance the DC-link (DCL) voltage across each power cell of n number of cascaded H-bridge multilevel inverter (CHBMLI), using dc-dc converter, fed from multi solar photovoltaic (SPV) array for standalone application under varying environmental conditions, i.e. variation in radiation and temperature. Due to variation in the environmental conditions

Hysteresis feedback controlled synchronous buck converter-based power supply is designed and developed for biasing the transistors of Solid State RF Power Amplifier (SSPA). Design verification is done using PSIM software. The RF power requirement of SSPA varies from a few watts to 12 kW depending on RF application. It requires the power supply to have constant voltage and variable current. A comparative

For the last few years, Multilevel Inverter (MLI) researchers have been motivated to reduce the component count in a significant manner by keeping the output level generation the same or increasing enough to be noticed. In this work asymmetrically switched Cascaded H Bridge (CHB) multilevel inverters with fundamental frequency switching are proposed for photovoltaic (PV) applications. Essentially different

This article proposed and suggested improved real-coded genetic algorithm (IRCGA) for optimal scheduling of thermal plants in coordination with fixed head hydro units. Genetic algorithm (GA) is based on inbred operation of human chromosomes. GA has the ability to establish the global or very close to the global optima. Here, in this article to heighten convergence speed and solution quality the IRCGA

Grading of discs is essential for the assessment of degeneration progression which subsequently plays a vital role in decision making in the removal of a disc. In particular, Pfirrmann’s five-scale (1–5) scoring system is widely used in MR image modality for grading the discs. In this study, we have presented a contemporary semiautomatic feature level fusion approach for the classification of inter-vertebral

The paper introduces a novel adaptive neural network fractional-order nonsingular terminal sliding mode controller using conformable fractional-order (CFO) derivative for a class of uncertain nonlinear systems. For this purpose, a new conformable fractional-order nonlinear sliding surface is proposed and the corresponding control law is designed using Lyapunov stability theorem in order to satisfy

Automated accurate categorization of brain magnetic resonance images (MRI) is very important for disease diagnosis and treatment. In this paper, a new methodology for the detection of abnormality in brain MRI is suggested. The scale-invariant feature transform is first employed to extract features of MRI. Principal component analysis is applied to the extracted features and a minimal set of more essential

A simple meta-material unit cell with a negative permittivity in the X band is designed in this work. This meta-material cell is a one-sided cell which is simulated to extract scattering parameters, permittivity and permeability. Four different unit cells were examined and simulated to achieve the final structure. The effects of mutual-coupling of unit cells on structural performance were also investigated

In this paper, a fuzzy fault tree analysis technique for reliability evaluation of the wind energy system is presented. The technique combines the operational failures effect and the errors in the fuzzy environment for the wind energy system configuration. In conventional fault tree analysis, the acceptance of the risks probability values is not considered. Besides, it is very difficult to have a precise

This paper describes the investigation of a microstrip patch antenna with periodic and non-periodic Photonic Band Gap structure (PBG) as a substrate. The proposed antenna is designed to operate at 5.9 GHz. The problem of surface wave leakage in the conventional antenna is controlled by producing dielectric periodicity with the help of photonic crystal as a substrate. Parametric analysis of the proposed

In this paper, a novel four-layered low-profile, textile antenna operating in the Industrial Scientific and Medical band (ISM) has been proposed for wearable applications. The proposed antenna was completely made from textile materials with the substrate being cotton and the conductive portions done by embroidering Zari threads to the substrate. The realized antenna has a compact profile of 51 mm x 45

A bandstop filter is proposed, where the resonant element is a slot that is folded to the shape of the letter U and embedded into the microstrip line so that no extra width is required. Moreover, the folding of the slot reduces its length to ¼ the effective wavelength. This is a considerable size reduction in comparison with the filters using the resonant elements like rings or coupled short-circuited

A comparative study is done on Si, 4H-SiC, Wz-GaN and InP based impact avalanche transit time (IMPATT) diodes operating at 94 GHz. A double-iterative simulation procedure is utilized to investigate the DC and small-signal features of the diodes from which corresponding avalanche response times and transit times are obtained. The studies exhibit that SiC and GaN diodes are potential sources for radiating

Automatic malaria diagnosis requires the segmentation of the erythrocytes from the microscopic blood smears images. In this paper, the system for the analysis of the erythrocyte to detect the malaria infection has been proposed. The challenging issues are: preprocessing, foreground extraction, clump erythrocyte segmentation and infected erythrocyte detection. The non-uniform illumination and other

Large scale multiuser multi-input multi-output (MU-MIMO) system is an emerging wireless technology, which can impart huge spectral efficiency, enhanced link reliability, and serves several users simultaneously in the same frequency–time resource. Pilot contamination (PC) is the major bottleneck in achieving the optimum performance of a multi-cell large MU-MIMO system. We propose a new multi-cell block

The design and development of eco-friendly renewable energy sources is a critical process in the power generation system. Power generation of photovoltaic system depend on temperature and irradiation. Variation of atmospheric conditions need to find points for every instant on V-I characteristics of PV in which maximum power transfer from source to load is achieved. This work deals with Maximum Power

An optimal interval Type-2 Fuzzy logic controller is proposed for maximum power capture from point absorbers. First, based on an introduced point absorber, a model-based feedback-simplifier is proposed to reduce the complexity of the nonlinear part of the model. Then, two interval Type-2 Fuzzy systems are designed for finding the optimal values of damping and stiffness coefficients so that the maximum

Thyristor controlled series capacitor (TCSC) is placed in transmission line to enhance its power transfer capability. However, several relaying methods experience the challenges of voltage and current inversion, nonlinear behavior of MOV and sub-synchronous oscillations in the presence of TCSC. Furthermore, power swing causes unwanted trip and severely affects the protection schemes due to the modulation

Rampant power theft is a growing concern for power distribution companies as well as the country's economy at the low voltage consumer end. Power theft including theft of power, defective meters, or errors in billing has been an area of growing attention from researchers. Power theft affects the power supply efficiency, raises the demand on the generating station, and causes significant harm to the

The fuzzy logic controller is widely used in different areas due to the unique simplicity and different abilities that it has such as good response to complex and high-order systems. In addition, it is apparent that the fuzzy controller parameters and Membership Function (MF) selection has a vital role in the quality of the controller performance improvement. Due to the existence of several dimensions

Electric power generated in a centralized station is transmitted through the transmission system and supplied to the consumer end through an electric distribution substation. Electric power losses are high in distribution network compared to the transmission system. The integration of decentralized generation (DG) units in electric distribution networks will reduce power losses. However, the integration

As a green energy source, the use of wind has been rapidly growing in recent years. Whereas wind has complex and stochastic nature hence precise wind power predictions are essential for economic operation of the wind energy systems. For utilities, the rapid variations in wind power can generate serious problem of reliability reduction. The forecasting of wind power changes allows a utility to plan

The direct-drive Permanent Magnet Linear Generator (PMLG)-based Ocean Wave Energy Converter (OWEC) generates variable AC voltage, which cannot be directly utilized by the load. This paper presents a two-stage methodology to convert variable AC voltage to a constant amplitude AC voltage. First, a standard rectifier is used to convert variable AC voltage into variable DC voltage. After that, a cascaded

Power generation with load optimization is an extremely important process for better planning and successful operation of the electrical power system especially in the present scenario of deregulated electricity market condition. To increase the generation share of renewable energy resources with existing supply system, it is highly needed that the system should not suffer problems due to congestion

Sign language is the art of communicating using hand gestures. The communication between an impaired person and the one who doesn't understand sign language could be easy using the computer as a tool. Inconsistent previous works in the field posed a need for more stable and effective model. We take an efficient step in order to tackle the problem of automatic fingerspelling recognition system using

Constant switching frequency (CSF) is an important objective to be achieved by any control strategy deployed on a Voltage Source Inverter (VSI) so that the filter design will be easier. Though the invent of Multi-Level Inverters (MLI’s), the Two-Level Inverters (TLI’s) are widely used when it comes to current control strategies. In this paper, a new hysteresis current control strategy is proposed for

Single-event transient (SET) due to heavy-ion strike is a serious reliability concern for devices operated in radiation environment. Due to technology scaling, nodal capacitance decreases which increases the SET vulnerability. In this paper, the sensitivity of SET pulse width in 45 nm bulk and SOI MOSFET to linear energy transfer (LET), heavy-ion track length, angle of strike, characteristic radius

In this paper, a modified compensated matching method for designing a low-noise broadband microwave amplifier with guaranteed stability is proposed. Compensated matching method is formulated as an optimization problem. A hybrid optimization algorithm based on the combination of the genetic algorithm and conjugate gradients method is used to the design of the low-noise stable broadband RF amplifier

In this paper, a medical image registration based on Renyi’s quadratic mutual information is proposed. Firstly, the initial values (i.e. the translation and rotation parameters) for aligning the floating image with the reference image are obtained by computing the medical image centroids and moments. Then, when exploring the optimal geometric transformation parameters, the Renyi’s quadratic mutual

The focus of the paper is on the renewable energy-based rural electrification system. Two concepts have been used in finding solutions to the issues related to this micro-grid system. The first is the best fitted model of hybrid configuration system, which utilizes village-owned resources, such as abundant biomass and solar irradiation. The second is that observed improved performance in terms of system

Renewable energy sources and technologies have the potential to provide solutions to the long-standing energy problems being faced by developing countries. The renewable energy sources like wind energy, solar energy, geothermal energy, ocean energy, biomass energy and fuel cell technology can be used to overcome energy shortage in India. This paper proposes a modified multi-level inverter (MLI) topology

Diabetes mellitus is one of the major concerned diseases that cause a large number of deaths every year. It is considered as the chronic disease which is caused by an increase in blood sugar. If diabetes remains unidentified and untreated, it creates more complexities. So, the early prediction of diabetes can reduce the fatal rate of a human. The data mining concept assists to diagnose diabetes. Various

Multivariable nature of the flotation process compels advanced control strategies, including Model Predictive Controllers (MPC), leading to robust and effective compensation of disturbances. However, the complexity of calculations and implementation has limited their application in the industry. On the other hand, decoupling methods promise drastic reduction in computation time and complexity, while

A combination of various energy conversion units offers a multi-carrier energy system, namely Energy Hub (EH). Optimal scheduling of EHs in the interconnected systems besides providing flexible management in input units stands as a challenging task. The uncertainties of input variables increase the complexity of this task. In this paper, an efficient EH structure is proposed and the conventional model

In this paper we present a state-of-the-art infrastructure approach to detect and classify oral cancer from the hyperspectral imaging of investigating maxillofacial region. Oral and neck cancer is one of the rampant forms of cancer and this cancer is mostly experienced by socio-economic backward population. The hyperspectral image analysis is emerging as a non-invasive method for classification of

This paper presents an efficient method to improve the far-field radiation pattern of concentric circular antenna array (CCAA) design using two stochastic optimization algorithms known as social spider algorithm (SSA) and modified social spider algorithm (MSSA). Low side lobe level (SLL) plays a crucial role in reducing the interference with the other frequency components along the entire side lobes

Increasing size of web leads to relevant information extraction by traditional and last query expansion methods not to be efficient and encounter an essential challenge. Therefore, to improve query expansion, in this paper, a novel hybrid method called HQEBSKG is introduced. In the first part, a new and efficient technique is proposed based on semantic knowledgebase to expand users’ queries. In the

Segmentation of tumors from the brain Magnetic Resonance Images (MRIs) is very important for the analysis and right treatment. Tumors treated at early stages improve the survival time. This paper proposes an advanced method named SOMACM which is a combination of Self -Organizing -Map (SOM) and Active Contour Model (ACM) for the efficient segmentation of brain MRIs to detect tumors. ACM is an energy-based

This paper proposes an optimal fuzzy-based coordination approach for thermal generator and solar photovoltaic (PV) plant in a two-area power system. The proposed intelligent coordinator is designed for valid adjustment of integral gain of secondary control loop in thermal generator and the proportional gain in PV plant. The classic controllers are generally applied with a constant gain for nominal

Loss of complexity and chaos of heart rate variability (HRV) of an individual increases the risk of mortality from cardiovascular diseases. Abnormalities in HRV associated with intractable epilepsy may even lead to “sudden death in epilepsy” (SUDEP). By activating the parasympathetic division of the autonomic nervous system, Vagus Nerve Stimulation (VNS) has the potential to restore the natural chaotic

This paper proposes a Distance and Levy-flight based Crow Search Algorithm (DLCSA) for optimization of three Fractional-order controllers: Fractional Order Proportional-Integral-Derivative (FOPID), Fractional Order Proportional-Integral (FOPI) and Fractional Order Proportional-Derivative (FOPD) controllers. Novelties of the proposed method are fourfold; (a) distance-based Flight length (Dfl)to improve