Wireless communication over Multiple Input and Multiple Output (MIMO) channel achieve increased transmission rate by dividing the input stream into a multitude of parallel data streams which are transmitted in parallel. Precoding at the transmitter aims to decompose the channel into an uncorrelated multiple subchannels using the channel decomposition technique so that data streams will be sent in parallel

In this paper, the concept of one switched-inductor Z-source inverter is extended to improved switched-capacitor inductor ZSI. In the proposed inverter, capacitors are used instead of the side diodes of the one switched inductor Z-source inverter. The proposed inverter improved voltage gain and boost factor compared to the switched-inductor Z-source inverter and the switched-inductor quasi Z-source

Providing safety, security, operational convenience and energy savings are some of the vital goals of a home automation system. A single unified point of interaction for the user is also an important consideration. Each feature requires a different sensor, powering scheme and mounting arrangement. To address each requirement, custom node development is to be prepared with all nodes being part of a

A metamaterial loaded circularly polarized fractal boundary patch antenna is confronted for applications at the ISM band. The suggested patch comprises of Minkowski fractal over metamaterial inspired reactive impedance substrate. Initially, asymmetrical Minkowski fractal curves are deployed at the edges of a square patch for generating the circular polarization (CP). Later, using metamaterial reactive

Flexible electronics is an imminent revolution in industry, where devices can be developed using sustainable materials and processes. Some of the criteria for sustainability are low cost, low energy consumption, recyclability, and biodegradability. Besides, this technology is bringing into existence electronic gadgets that are light weight, flexible, and conform to the human body. In this paper, we

A new type of Quadratic Buck–Boost Converters with Switched Inductor Network is proposed. To analyze the output voltage ripple characteristics of the Quadratic Buck–Boost Converters with Switched Inductor Network. According to the operation modes between input inductor and storage energy inductor of Quadratic Buck–Boost Converters with Switched Inductor Network, the operation modes of the converter

Empirical Mode Decomposition (EMD) provides an adaptive signal processing tool, and its multivariate extension is useful to model multichannel signals. Recently, EMD and multivariate EMD have successfully been applied to solve different signal processing problems. Electroencephalogram signals are often employed to explore the emotional concepts for human-machine interaction. In this paper, an emotion

The authors proposed a new mixed order reduction technique for large-scale linear dynamic systems (LSLDSs). The denominator of the original LSLDS is reduced by the proposed renovated pole clustering technique, whereas the reduced numerator is obtained by using the Pade approximations technique. The proposed technique is an improved form of the modified pole clustering technique suggested by Vishwakarma

Recognizing cardiac patients with high risk of hospitalization could enable to offer timely and life-saving care. The accumulation of healthcare data and utilization of data analytics to develop risk prediction models from healthcare data could facilitate personalized treatment care and predict the risk of emergency. Healthcare providers use different prediction tools to improve clinical decision making

The loss of excitation (LOE) is a very common fault in synchronous machine operations and can be caused by a short circuit in the field winding, unexpected operation of the field breaker. Several methods are proposed to detect LOE, but most of them are impedance-based. It is possible that these methods will not be able to identify between LOE and stable power swing (SPS). In this paper, a new method

This paper presents a dual voltage source inverter (DVSI)-based Distributed Static Compensator (DSTATCOM) to enhance the power quality in the power utility system (PUS). The proposed DSTATCOM consists of two numbers of two-level voltage source inverters (VSI) which controls the reactive power. One of them is regarded as the main voltage source inverter (MVSI) and the other is considered as auxiliary

This paper presents a rapid, effective, and linear incremental conductance (IC) algorithm for chasing the maximum power point (MPP) of the grid-tied photovoltaic (PV) array. A technique has been proposed to find the optimum values of the design parameters of the PV array. This methodology enables the prime matching of the PV system with the DC/AC converter configuration by calculating the optimal values

The main objective of this paper is to suppress the stick–slip vibrations in the drilling system so that the drill bit can follow the desired nominal angular velocity of the Top Drive in an optimal time. Hence to protect drilling equipment from hazards and increase drilling performances by decreasing the non-productive time (NPT). Three control systems have been proposed to achieve this objective,

Security-Constrained Unit Commitment (SCUC) problem and subsequently employing Flexible AC Transmission Systems (FACTS) controllers including Optimal Unified Power Flow Controller (OUPFC) play a crucial role in power systems operation and control in terms of increasing the security of energy transmission networks. The principal objective of the SCUC problem is to acquire the minimum operating cost

With increasing effectiveness of flow-based microfluidic biochips in the field of biochemical experiments and point-of-care diagnosis, design automation demands enormous attention to integrate the flow-layer design and control-layer design instead of considering them in isolation. Some severe design issues like valve reliability, control-channel delay, pressure skew, etc. are obvious and they must

Electroencephalogram (EEG) is used to analyze the state of the brain. One of the critical states of the brain is drowsiness. Physical, mental tiredness, and unconsciousness are some of the reasons for drowsiness. Drowsiness state may lead to fatal crashes, severe injury, and property damage; sometimes, it can be analyzed and detected by using EEG. Analyzing EEG signals is complicated and tedious, so

This paper peruses the Doppler-bearing passive target tracking (DBT), a task that is subject to the nonlinear measurement equations. These measurement equations form the target tracking a nontrivial duty. In order to defeat these problems, many studies have reported various nonlinear estimation techniques, such as sigma-point Kalman filters. These types of filters have demonstrated superior performances

In past, many realizations were obtained by intuition, i.e. selected the circuit configuration a priori and then assumed suitable values for the components to realize either a voltage or a current transfer function of some specific orders. In this paper, we propose a true synthesis for three types of functions. It is proved that the minimal realization with all the passive components grounded is possible

Induction machine (IM) is widely used in most of the industries because of its various advantages. In previous research studies, various studies were completed to analyze the machine flux behavior in different reference frames such as Stationary and Park’s, however, the analysis and comparison for the wide-ranging machine flux behavior, in synchronously rotating stator field-oriented, and rotor-oriented

An analytical model is proposed for computing the resonant frequency, quality factors, bandwidth, input impedance, and gain of electromagnetically coupled stacked equilateral triangular patch antennas. The model is simple, fast, and suitable to apply directly in the computer-aided design (CAD) programs. The accuracy of the present model is computed against our newly performed and previously reported

Internet of Things (IoT) paved the way for devices and machine communication using TCP/IP protocol. Lightweight and stateless communication is imperative especially in a situation requiring conservation of energy usage, e.g. wireless sensor network. Representational State Transfer (REST) API method is based on web communication protocol, Hyper-Text Transfer Protocol (HTTP), and is widely used in IoT

Artificial Intelligence has changed our outlook towards the whole world, and it is regularly used to better understand all the data and information that surround us in our everyday lives. One such application of Artificial Intelligence in a real-world scenario is the extraction of data from various images and interpreting them in different ways. This includes applications like object detection, image

Protection engineers and academicians are continuously working towards better relaying for modern transmission structures. This has become a requirement because transmission structure, nowadays, is being updated with new technologies, e.g. flexible AC transmission system devices. In this paper, it has been observed that the differential DC plays an important role in distinguishing the internal and

A new electronically tunable allpass filter (ETAF) using a voltage variable inductor (VVI) is presented. The design is based on a composite CFA (Current Feedback Amplifier)–voltage tunable current conveyor transconductance amplifier (VTCCTA) analog building block (ABB). The phase (θ)-response of this first-order filter is tunable by the VVI, wherein signal-gain (K) is independently adjustable by a

Synthetic aperture RADAR (SAR) imaging is an important means for performing the task of remote sensing. Image segmentation is one of the most crucial steps done prior to the classification and identification of different regions and objects present in the acquired images. The presence of multiplicative speckle noise in SAR images makes the tasks of image processing extremely challenging. The fuzzy

In this paper, we explore the use of multiscale bubble entropy and power metric for feature extraction procedure and extend it with MLA and stability analysis to design a reliable multichannel seizure detection technique. First, we represent the multichannel EEG signal in 2D matrix form and then apply AM FM model to exploit the decomposed form of EEG. Thereafter, we construct the complexity coefficient

In this paper, we discuss an approach that predicts the quantitative value of rainfall. The proposed algorithm uses a combination of data mining and neuro-fuzzy inference system for prediction. The model is demonstrated on north interior Karnataka (a state in India) rainfall data as a case study. This model is applicable to any geographical area provided apt predictors are included. For north interior

In this paper, a novel approach for condition and performance monitoring of induction motor through estimated motor losses is proposed and explained. The novelty in the proposed approach is minimal non-intrusive measurements and does not require disconnection of motors from the load. In many systems, the losses measured directly or indirectly in a motor are of the lump sum in nature. The main advantage

Seizures are the part of the epilepsy that occurs in central nervous system which leads abnormal brain activity. Electroencephalogram (EEG) signal recordings are mostly used in epileptic seizure detection process. Detection of seizures is a crucial part for further treatment of patients. This paper proposes a multi-view SVM model for seizure detection using the single channel EEG signals. In this experiment

This paper presents a low dimensional edge descriptor, based on local diagonal and non-diagonal maxima-minima pattern for medical images. The methods utilize local relationship of a middle pixel to its diagonal/non-diagonal maxima-minima. The scheme reduces the length of feature vector to a great extent without compromising the quality of edge map. The designed methods are validated on digital X-ray

In this article, an asymmetric coplanar waveguide (CPW)-fed dual-band ENG-TL antenna with gain enhancement using complementary closed ring resonators (CCRRs) has been designed and validated. The proposed antenna consists of an asymmetric rectangular patch, meandered line inductor, coplanar ground planes, square-shaped CCRRs, and a radial stub. Simulated results show that the proposed antenna offer

Over recent epoch, initial uplink synchronization has become an essential part of the wireless communication systems owing to its amenities in the identification of new users to originate communication. Yet, allocating and sharing resources to users is a bottleneck due to the interference caused by multiple users. Besides, preceding works didn't concentrate on the usage of an effective mechanism to

An 8-bit chipless radio-frequency identification (RFID) tag with a compact structure is proposed in this paper. Designing a RFID tag with a compact size is highly demanded in RFID technology. The original RFID tag is composed of 8 octagonal rings. In order to minimize its dimensions, the tag is divided in two equal parts. One part is completely omitted with its substrate. A grounded wall is placed

A hardware-based memory-efficient sequence alignment architecture is described in this paper. This paper expresses a comprehensive blueprint of the hardware implementation of compact sequence alignment for pair-wise global alignment technique to achieve high-throughput processing. This architecture uses SRAM and only a small amount of digital logic circuitry to perform elementary operations of sequence

A locality-sensitive hashing (LSH) method in the document-based NoSQL database is proposed for enhancing the ability of arbitrary reads over the previous methodologies. The proposed hash index improves efficiency by reducing the amount of accessing data for search queries by creating buckets based on hyperplanes. The LSH hashes the input data where similar items with high probability maps to the same

Zinc oxide (ZnO) nanorods were grown on rigid substrate (fluorine doped tin oxide, FTO) with different molar concentrations (0.025, 0.075 and 0.125 M) using a low-temperature hydrothermal process. The XRD analysis revealed the formation of hexagonal wurtzite structured ZnO nanorods with (002) plane c-axis orientation of the samples. Morphological analysis by the FESEM method confirmed the formation

In the present era of the medical field, the mortality rate of the infant was increased by 1/3 percentage in a year. Even though we have modernized and have great expertise in the medical domain, we failed to control the infantile mortality rate. So continuous monitoring of the fetus during pregnancy is important. If there is any complication in the growth of the fetus, then the patient is put into

The principle of piezoelectricity has been used to design the micro-electro-mechanical system-based piezoelectric energy harvester for generating electrical energy from the surrounding vibration. The huge popularity of these energy harvesters (EHs) is due to their small size. This paper designs the EH for the heating, ventilation, and air conditioning system. Different cantilever structures with different

The active/passive heatsinks have recently garnered much attention due to their benefit to keep the temperature of the electronic device and PCB/ICs in a certain range. They are expected both to perform a maximum cooling thermally and to have a minimum of the radiation in electromagnetic terms since it causes electromagnetic interference (EMI) in devices around. In this paper, many studies discussing

Considering the entire BCI system, a big challenge is that information can be extracted from brain signals in a meaningful way. Therefore, most BCI studies are focused on brain signal processing, in which the stages are preprocessing, feature extraction, feature selection, and classification. Since each of the signal processing methods is subject-specific, it is necessary to select a specific subject

Wideband design of coaxially fed U-slot cut patch is a widely reported configuration. It yields a bandwidth of 20–25% on a substrate thickness of 0.06–0.07 λg. In all the reported designs, narrower U-slot has been used as it yields required impedance matching to achieve the wideband response. In this paper, initially a detailed study is presented to explain the effects of employing wider U-slot in

The proposed methodology aims at the identification of multiple and multi-stage power quality (PQ) disturbances along with their underlying causes. To this end, a computationally efficient S-Transform with decision tree (DT) based online PQ monitoring algorithm has been presented in this paper. This online algorithm provides a sample-based analysis of 40-dB noisy multiple and multi-stage PQ disturbance

The wind turbine system is one of the most challenging control problems in power systems due to its fast and slow dynamics and the optimal and robust control of the doubly fed induction generator is particularly important in this system. To handle the desired performance under different conditions, this paper presents a new control method by combining the model predictive control method with the adaptive

This paper presents a novel multi-objective naked mole-rat (MONMR) algorithm to optimize two printed monopole patch antenna structures for ultrawideband (UWB) applications. The design includes basic-ultrawideband and triple band-notch characteristic antennas. The performance of MONMR is evaluated for two objectives: minimize pass-band signal reflection and maximize the gain of the antenna. In resultant

The power optimization is one of the biggest challenging issues for designing of VLSI circuits within the advanced technology. The reversible logic is one among the best approaches for low power application. This logic has wide application in the communication, nanotechnology, digital signal processing, computer graphics, optical computing, etc. In this paper, some proposed reversible magnitude comparator

Breast density may be used as a predictor of breast cancer risk and can measure the condition of tissues on mammograms. This research developed a computer-aided diagnosis (CAD) system to predict breast density on digital breast tomosynthesis (DBT) images. We used two-dimensional (2D) mammograms to train the linear discriminant analysis (LDA) classifier. Then load the DBT projection image to predict

An indoor positioning system, with ultra-high frequency radio frequency identification based on phase difference (PD), is presented in this paper. Several groups of phases are obtained by setting reader’s different transmitting frequency to reduce the phase ambiguity. Two positioning algorithms are proposed with rough PDs, which are pattern matching based on PD correction and machine learning based

The major role of electronic devices is providing low power dissipation and high speed with compact area. The speed of electronic devices depends on arithmetic operations. Multiplication is the important arithmetic operation in many VLSI signal processing applications. Hence, a high-speed multiplier is needed to design any signal processing module. Many multipliers are surveyed in the literature. They

Triclustering techniques are applied to analyze three-dimensional gene expression microarray data to retrieve group of genes under the tested samples over certain time points based on a similarity measure. The real-life three-dimensional dataset chosen is estrogen induced breast cancer dataset. In such datasets, identifying the variations in mining the gene expressions across samples and time points

In this work, a Fuzzy Linear Quadratic Regulator (FLQR) is developed for the anti-swing control problem of a Double Serial Link Rotary Pendulum (DSLRP) system. The main objective of this paper is to study the anti-swing FLQR controller and compare it with the classical LQR controller. A dynamic mechanical model of the DLRP was simulated numerically in the SimMechanics toolbox/MATLAB. This model can

The control problem of a three-degree-of-freedom (3-DOF) X-Z inverted pendulum as an unstable, multi-input-multi-output, under-actuated and high-order nonlinear system is facing many challenges. In this paper, a Fuzzy Adaptive Hierarchical Sliding-Mode Controller (FAHSMC) is optimally designed for the X-Z inverted pendulum system utilizing the Multi-Objective Genetic Algorithm (MOGA). To this end,

Direct-sequence spread-spectrum (DSSS) and frequency-hopping spread-spectrum (FHSS) modulation techniques have been proposed for the operation of three-phase voltage-source rectifiers (VSR) for the mitigation of EMI in AC Grid. For the first time, in the DSSS modulation technique, binary phase shift keying and quadrature phase shift keying (QPSK) techniques have been adopted for the mitigation of electro-magnetic

A proposal is made in this paper to realize 3-ways chip to chip communication via 3D photonic structure. The mechanism of the work is understood with the help of absorbance and reflectance of the structure. The absorbance is determined using the analytical treatment where reflectance is computed using the photonic bandgap analysis, which is found with the help of plane wave expansion method. Further

Early diagnosis of the neurodegenerative disorder Parkinson’s disease (PD) and Scan without Evidence of Dopaminergic Deficit (SWEDD) is essential for effective patient management in neurodisorders, as both have the same clinical characteristics. The present work intends to propose an efficient method for analyzing volume rendering Single-Photon Emission Computed Tomography (SPECT) image slices, using

Indian nuclear research reactors provide facilities to carry out irradiation experiments on the core structural materials to assess the radiation damage in these materials. The radiation damage in the material strongly depends on the temperature of irradiation. The temperature-controlled instrumented irradiation capsule (TCIIC) is a device which facilitates irradiation of specimens at a constant higher

To preserve frequency and tie-line power flow within a tolerable range in modern intricate and renewable energy sources (RES) integrated power system, an intelligent, expert, and robust load frequency control (LFC) scheme is requisite. This paper proposes a new load frequency control (LFC) approach using a dual-stage controller composed of fractional-order tilted-integral-derivative (TID) and integer-order

This paper introduces a nonlinear adaptive controller of unknown nonlinear dynamical systems based on the approximate models using a multi-layer perceptron neural network. The proposal of this study is to employ the structure of the Multi-Layer Perceptron (MLP) model into the NARMA-L2 structure in order to construct a hybrid neural structure that can be used as an identifier model and a nonlinear controller

ABSTRACT Skin tumor acts as a premier factor for high death rate throughout the world. To segment the skin tumor the radiologists find it impotent. Various research works find it to be an ineffective manifestation. The intention of this research work is to provide an efficient enhancement method and tumor detection from other unaltered regions. This work relies mainly on computed tomography (CT) tumor

The very-large-scale-integration industry has been highly trying to attain miniaturization. This function causes several challenges regarding size, switching speed, power, and fault-tolerant at the nanoscale. Quantum-dot cellular automata (QCA) can contain a remarkable reduction in scale, fast switching rate, ultra-low energy consumption, and high fault-tolerant. Thus, fault-tolerant logic has attained

This paper presents a new diplexer design of a new-coupled composite right/left-handed (CRLH) resonator to serve the LTE applications. The realization of the diplexer is designed as coupled two zeroth order π-CRLH resonators to represent with zero electrical length and hence attaining a significant size reduction. The filters are designed to achieve a desired frequency bandwidth of 4% ∼16.7 Q-factor