In recent times, impedance networks have been developed to overcome the limitations and problems of traditional VSI / CSI and various traditional dc-dc converter networks. From then on, impedance source converters replace the entire range of power electronic converters: dc-dc (converters), dc-ac (inverters), ac-dc (rectifiers), ac-ac frequency regulators (matrix converters). In addition, the impedance

Simultaneous spectral and spatial information of any object investigated through electromagnetic radiation leads to the concept of spectral imaging technique (SIT): in terahertz (THz) range, because of limited opacity of various dielectrics, this technique gets further accentuated by “through-barrier” SIT. In this review, we revisit the fundamental physics, important domains of applications and issues

In this article, a novel configuration of ring dielectric resonator-based multiple input multiple output antenna (MIMO) is proposed with a beam tilting characteristic. To achieve the beam tilting and low correlation among the far-field patterns, the conducting plate is positioned in between the antenna elements. Dual resonating frequencies are obtained by exciting the ring DRA electromagnetically with

The flight subsystems of aerospace vehicle must be introduced in Hardware In Loop Simulation (HILS) testbed prior to actual field tests to evaluate their performance in real-time scenario. This helps greatly in the design and development of vehicle subsystems. The HILS results are suffering due to unwanted diverging oscillations, which limit the HILS testbed effectiveness in evaluating the actual performance

ABSTRACT A novel high-K dielectric trench SOI LDMOS with an interface highly doped N buried layer (HKHN SOI LDMOS) is proposed. The devices are characterized with a high-K dielectric material (HK) introduced in the drift region and a high doping concentration of N existed below the HK trench (HKHN). First, the HK material causes assistant depletion in the N-drift region to increase doping concentration

In this paper, the generalized and new cascaded modular multilevel inverter topology is presented that is designed with reduced power electronic components. Each module comprises ten power switches (2 bi-directional and 8 unidirectional) and five DC sources. Lower voltage rating switches are employed for this topology due to its remarkable advantage of generating both positive and negative voltage

ABSTRACT This article presents the study of trapping effects in AlGaN/GaN high electron mobility transistors (HEMTs). Conventional methods like temperature-dependent capacitance-voltage (CV) and pulsed-IV (PIV) have been employed to quantify the traps present in the device layers. Apparent threshold voltage (VTH) instability as well as lag in the drain current after pulsing are evident. The kink in

Muga silk nanoparticles (MSNP) in the size range of 28–142 nm were synthesized via microwave-assisted radiolysis method. Interestingly, these nanoparticles acquire cuboidal shape and exhibit photoresponsive property, under white light illumination of power 56 mW/cm2 in a photo-electrochemical cell, when fabricated in MSNP/ZnO/ITO/PET flexible device structure. The device was found to be active under

In this paper, silicon-based Asymmetric-Elevated-Source-Drain Tunnel Field-Effect Transistor (AESD-TFET), for gate lengths (LGs), viz. 70, 45, 32, 22, and 13 nm, is investigated for the first time to find its suitability in sub-400-mV low-stand-by-power (LSTP) digital operation, followed by finding its reliability and stability against the adverse effect of Positive Bias Temperature Instability (PBTI)

ABSTRACT In the current review, recent advances in the field of surface plasmon resonance (SPR)-based plastic optical fiber (POF) sensors are summarized. The review focused on the different types of sensors and their uses. The performance of POF sensors with different geometries, i.e. U-bent, D-shaped, side-polished, and tapered geometries, is explored using SPR/localized SPR (LSPR) techniques in biochemical

Cybersecurity is essential to protect the tremendous increase in data stored on servers and its transmission on networks. The techniques used to detect threats and preserve data need to be updated regularly to prevent advanced attacks in the future. The information transferred over a network is converted into unintelligible data using codes and cyphers to achieve data integrity and confidentiality

The primary goal of integrating and deploying microgrids in India is to facilitate economic development, increase energy access, enhance energy security, and reduce environmental pollutions. Microgrids have the potential to provide solutions to the long-standing energy problems being faced by developing countries like Iran, India, Nigeria, etc. In this research paper, a review on different generation

Cross-Lingual Information Retrieval (CLIR) provides flexibility to users to query in their regional (source) languages regardless the target documents languages. CLIR uses trending translation techniques Statistical Machine Translation (SMT) and Neural Machine Translation (NMT). SMT and NMT achieve good results for foreign languages but not for Indian languages due to non-absoluteness of the parallel

(2020). What is in store in the September-October 2020 issue of IETE Technical Review? IETE Technical Review: Vol. 37, No. 5, pp. 439-440.

(2020). Correction. IETE Technical Review: Vol. 37, No. 5, pp. (iii)-(iii).

(2020). Notice TITR 37-5. IETE Technical Review: Vol. 37, No. 5, pp. 549-549.

ABSTRACT The removal of irrelevant and insignificant features from the high-dimensional dataset is a necessary prerequisite for the exploration of information. Meta-heuristic optimization techniques have been widely used in the field of knowledge discovery over the last few years. The whale optimization algorithm (WOA) is a swarm-based metaheuristic technique that is often used in the field of dimensionality

This study presents a modified version of MIS-HEMT via incorporation of dielectric pocket with a dual metal enabled gate (DP-DMG) architecture to achieve an enhancement in the electrical performance of AlGaN/GaN HEMT. A noteworthy improvement in DC/RF characteristics is observed with DP-DMG HEMT in comparison to conventionally used single metal gated Schottky (SMG) HEMT including gate leakage. Moreover

ABSTRACT Today, numerous reliability prediction methods exist for electronic systems. A detailed literature survey is conducted to investigate the various techniques/models to ensure electronic components/system's reliability. Based on such a method's merits and limitations, we recommend using the hybrid model to predict an electronic system's reliability prediction in the distinct development phase

ABSTRACT This paper proposes a linear time implementation of the Side Match Vector Quantization (SMVQ) algorithm. It maps the side match distortion values between codewords and a boundary vector onto an order-preserving integer sequence. Hence the SMVQ algorithm’s state codebook generation step can exploit any integer sorting algorithm to improve its overall runtime complexity. The proposed SMVQ implementations

The objective of this article is the construction of a new model reduction method for the simplification of large-scale linear dynamical plants. In this method, the denominator of the lower order plant is determined by using the balanced truncation technique and the numerator is obtained by the Padé approximation method. This technique is given for the removal of existing limitations of the Padé approximation

Indigenous instrumentation setup was designed, developed and demonstrated for remote detection of hydrogen using metal oxide (MO) sensors. The metal oxide sensor was developed to sense the low concentration of hydrogen. The hardware developed was based on a function generator configuration and uniquely designed to give low excitation voltage across the sensor to improve the life of the sensor and reduces

The complexity of intra prediction in High-Efficiency Video Coding (HEVC) is increased significantly due to the incorporation of inherent features like variable-sized quadtree partitioned coding units and 35 angular modes that help in achieving better compression. This paper presents an efficient hardware architecture for the intra prediction that supports and comprises the above aspects and achieves

The most common needs of the customers that have been identified by the antenna industry include functionality of antennas at selected frequency(s) with optimum values of corresponding gain and bandwidth. Owing to the physical constraints, miniaturization may become necessary. The use of fractals has often resulted in reduced antenna sizes with multiband and broadband response. This manuscript reviews

A self-embedding watermarking algorithm based on a reference sharing mechanism that has recovery ability under high tampering rates is proposed in this paper. In existing methods, the image recovery ability is often limited under an increasing tampering rate. The proposed method overcomes this limitation by seeking an approximate solution for each character-bit group tampered with. Moreover, the priority

In this paper, we describe a multi-lead electrocardiogram (MECG) compression technique, which preserves pathological information in different affected leads while achieving high overall compression. For non-affected leads, the principal component decomposed expansion coefficients were optimally quantized using a feed-forward neural network. For affected leads, the wavelet decomposed coefficients were

ABSTRACT In the rapid development of wireless communications, femtocells provide tremendous improvement in coverage and quality of service for users. Macro-femto based networks are envisioned to be the de-facto solution for providing ultra-high speed communications in next-generation mobile wireless networks. This paper studies two-tier macro-femto networks and proposes a collection of novel technologies

Facial expression recognition (FER) plays a vital role in image processing according to the widespread development of human interactive applications. In the past few years, various researchers have focused on FER for implementing it in different applications. The existing system suffers from various complexities such as low accuracy, computational cost, and poor recognition performances. In this article

ABSTRACT Registration between the baseline and follow-up lung computed tomography (CT) volumes plays an important role in computer-aided diagnosis and following-up care during adaptive radiotherapy. Diffeomorphic log-Demons as state of the art in Demons implementations is restricted to relatively small deformations, low accuracy, and ignoring some prior structural features. In this paper, an automated

The growth of ubiquitous and pervasive computing systems with complex, heterogeneous, dynamic and mobile components, makes the utilization of structured overlay networks more desirable due to their inherent flexibility and extensibility to support modern day applications. However, the performance and dependability of structured overlay networks depend on their fault tolerance and self-managing capability

In recent years, the use of data mining techniques has gained significance in healthcare applications. The appropriate data mining techniques extract interesting affinities/associations between patient’s signs and symptoms, thus providing reasonable decision-making for the diagnosis and prognosis of the disease. Associative Classification (AC) is a contemporary technique, which uses the Class Association

In the proposed work, a modified look-up table-based direct torque control (DTC) scheme is reported for a neutral point-clamped three-level inverter-fed interior permanent magnet synchronous motor drive. In the classical DTC scheme, there are significant torque and flux ripples in the drive due to low number of available switching states. To reduce the oscillations in torque and flux, a three-level

ABSTRACT The Internet of Things (IoT) vision enables multiple of resource-constrained embedded devices, objects, and humans to connect together through the Internet protocol for a ubiquitous data exchange. Logistics is considered to be a key player poised from this vision to achieve the full visibility and transparency through leveraging the pervasive interconnectivity to collect reliable and safe

ABSTRACT A sub-sampling method developed for wired or wireless Orthogonal Frequency Division Multiplexing (OFDM) systems is presented. The proposed technique can be activated during the exchange of sparse data. The sub-sampling method is implemented with low cost and complexity hardware since it requires the customization of a few specific OFDM stages like channel interleaving, sampling control, etc

Forest plays a pivotal role in maintaining the ecological balance. It is necessary to detect the changes in forest cover as the forests have a significant role in promoting carbon cycle. Remote sensing domain has shown a promising potential for monitoring forest degradation. However, the problem arising due to missing satellite images in temporal domain and problems due to artefacts such as clouds

ABSTRACT The speech synthesis system of a particular character is a TTS (text-to-speech) synthetic system, which can obtain voice with the specific speaker’s voice characteristics. The traditional method, based on machine learning, requires a great amount of training samples and large iterations. In this paper, we proposed a novel TTS system based on fully convolutional neural networks and attention

In this paper, the experimental demonstration in the prospective application of the novel label-free microwave-based Meandered Signal Coplanar Sensor (MSCS), for the non-destructive quantification of the glucose in aqueous solution, has been presented. The sensor has been designed by embedding 5-turn meander inductor in the signal conductor of a 50 Ω coplanar waveguide (CPW) transmission line, where

ABSTRACT ATLAS TCAD-based comparative investigation (mainly breakdown voltage, cut-off frequency and leakage current) has been presented in this work for different length of gate field plate and source field plate. 127 V of breakdown voltage has been achieved at 0.25 µm gate length having 0.8 µm gate field plate length and 1 µm source field plate length. By amalgamating source field plate, maximum

Over the past few years, Convolutional neural networks (ConvNets) is emerging as computer vision discipline within deep learning. ConvNets is a key strategy for addressing computer vision problems, yet the theories behind their effectiveness in the processing are not yet fully understood. ConvNets have attained a state of the art-performances on various datasets for computer vision tasks such as remote

Recently, an efficient recursive and symmetrical optoelectronic interconnection network based on biswapped framework named “Biswapped-Hyper Hexa-Cell (BSN HHC)” is reported. In spite of containing a prime advantage concerning network diameter compared to its competitive Biswapped-Mesh (BSN Mesh) optoelectronic architecture; a major limitation of the network is its high cost. In a search for a competitive

Plasma waves are observed around almost all the solar system objects – Sun, planets and their satellites, comets, interplanetary medium, etc. The plasma environment around a planet has sufficient plasma density and temperature to sustain plasma waves. A number of plasma waves are observed in planetary magnetospheres – Mercury, Earth, Jupiter, Saturn, Uranus and Neptune. Venus and Mars do not possess

The development of navigation tools for people who are visually impaired had become an important concern in the research area of assistive technologies. This paper gives a comprehensive review of different articles published in the area of navigation solutions for people who are visually impaired. Unlike other review papers, this review considers major solutions that work in both the indoor or/and

The integration of meta-knowledge on the Web of data is essential to support trustworthiness. This is in fact an issue because of the enormous amount of data that exists on the Web of Data. Meta-knowledge describes how the data is generated, manipulated, and disseminated. In the last few years, several approaches have been proposed for tracing and representing meta-knowledge efficiently on a statement

One of the most recent topics in wireless communications is the heterogeneous networks. The next generation wireless networks are being designed with a convergence vision in which a mobile user/device can link simultaneously to various wireless access networks (e.g. WLAN, cellular, WMAN). Today when we talk about wireless heterogeneous networks, the first thing that comes to our mind is the seamless

This paper presents a review on the use of SAW for thermal conductivity sensing of gases. Uncoated SAW device is used as a sensing element by exploiting its high temperature sensitivity. The device is heated to a high temperature (100–150°C) and is exposed to a flow of gases at ambient temperature. Due to the temperature gradient there is a heat loss from the device resulting in temperature drop. As

This paper presents the design and analysis of a portable multi-wavelength antenna for UWB, wireless data-link, electromagnetic sensor, and multi-beam applications. The antenna structure consists of an air suspended rectangular dielectric resonator antenna (DRA) loaded with a printed horn. The DRA is suspended in air using four supporting dielectric pillars. The overall antenna structure is fabricated

Future cellular communication systems might be based on millimeter wave frequencies. So, there is a need to design and deploy antennas which operate in the millimeter wave spectrum integrated in mobile terminals, portable wireless devices, base stations and access points. Even though a lot of articles exist on the design of such antennas, fabrication and measurement nuances of such antennas are addressed

The Steered Response Power with Phase Transform (SRP-PHAT) is one of the leading methods for sound source localization because of its proven robustness in a noisy and reverberant environment. However, for the higher accuracy, the maximum power location needs to be searched over a dense grid, making the computational cost a real issue for large-scale microphone arrays. Modified SRP-PHAT introduced an

Facial expression recognition from video sequences is currently an interesting research topic in computer vision, pattern recognition, artificial intelligence, etc. Considering the problem of semantic gap between the extracted hand-designed features in affective videos and subjective emotions, recognizing facial expressions from video sequences is a challenging subject. To tackle this problem, this

Three-phase PWM rectifiers have been used widely due to their benefits such as unity power factor, sinusoidal input current and also low-ripple output DC voltage. Among control methods, vector control method in the synchronous reference frame through proportional–integral compensators directly controls the input current. However, the effect of non-ideal grid voltage like harmonic polluted voltage was

(2020). National Education Policy: How does it Affect Higher Education in India? IETE Technical Review: Vol. 37, No. 4, pp. 327-328.

In this paper, we study the single-carrier system with time-based receive transformation (TRT) under intersymbol interference (ISI). We consider the single-carrier single-input-single-output (SISO) system where the receiver uses the signals received during finite number of symbol periods to detect one data frame consisting of finite number of symbols. We show that the single-carrier system with TRT

To solve the problem of the low capacity of traditional information hiding and steganography, the deep neural network is used to construct a hidden network and a decoding network to hide one image into another. In this paper, the ResNet (Residual Network) has a good effect in feature extraction, and the residual block is used in the hidden network. First, the hidden network encoded the secret image

Image hashing is a technique that represents an image as a short unidirectional sequence. In this study, we propose a robust color image hashing technique based on the quaternionic local ranking binary pattern (QLRBP). First, the values of the RGB color channels are expressed as a pure quaternion, and the texture image is generated using the phase difference of the Clifford translation quaternion as

With the growing concerns over public safety, the importance of crowd monitoring is being realized by various security and event management agencies worldwide. Estimation of crowd dynamics can help such agencies in the prevention of any unanticipated accidents or issues. Research on crowd monitoring has been underway since the past few decades. Conventional crowd monitoring systems mainly rely on computer

Image information security is an important research direction in the field of information security. In existed image encryption schemes, original image is transformed to meaningless random noise signal which would draw attention and thus attract attacks. In this work, aiming to encrypt image to visually meaningful encrypted image, a novel image cryptosystem based on fractal graph generating is proposed

Tiny sensor nodes are the demand of smart and intelligent systems. These sensor nodes require on-board self-powered generating systems. Also, such generators should have lesser size. MEMS energy harvesters are profoundly used as the on-board self-powered generators. However, the size constrain imposes an important design trade-off on such devices. This trade-off is in-between areal dimension and the

Most of the asymmetrical reduced-component multi-level inverters (MLIs) can generate their maximum possible voltage levels; however, their total standing voltage (TSV) is comparatively higher. Here, a single-phase, multi-unit MLI configuration is proposed that can generate a maximum number of output voltage levels using minimum components and achieve lower TSV. Here, a single-phase generalized MLI

With the consideration of electromagnetic induction generated by the difference of membrane potentials between two adjacent neurons, a five-dimensional (5-D) memristor-coupled FitzHugh–Nagumo (FHN) bi-neuron model derived from connecting two FHN neurons with the memristive electromagnetic induction is presented. Then, with the 5-D memristor-coupled FHN bi-neuron model, the equilibrium states and their

Voice over Internet Protocol (VoIP) is characterized by the growth of session control signalling, which is based on the Session Initiation Protocol (SIP). The growing amount of SIP signalling may cause an overload of VoIP session control infrastructure and quality of service degradation. To reduce the effect of overload conditions, we studied the impact of SIP message differentiation on the quality