Cardiovascular diseases are leading cause of death worldwide. Timely and accurate detection of disease is required to reduce load on healthcare system and number of deaths. For this, accurate and fast segmentation of Cardiac Magnetic Resonance Images is required. In this study, we propose to develop a transfer learning-based end-to-end trainable method to segment left ventricle, myocardium, and right

Internet of Things (IoT) allows all entities such as computing devices, machines, objects, people, etc., to interact with each other through their Internet Protocol (IP) addresses without human intervention. Consequently, IP addresses are being exhausted rapidly. Named-Data Networking (NDN) tends to transit the conventional host-centric network into the data-centric network. However, routing attacks

Fine needle aspiration (FNA) biopsy is a painless, consistent, less expensive, and ordinarily secure clinical technique in diagnosing cancer, lymph, nodules, and other tumors. The present study concentrates on various improvements and advances made in previous years to enhance the accuracy, sensitivity, and specificity for real-time FNA biopsy, leading to modern techniques to needle aspiration technology

Automatic building extraction has significant socio-economic applications such as population estimation, urban planning, rapid disaster response, monitoring illegal land acquisition, and change detection. The traditional methods fail to deal with the challenges entirely associated with building extraction, i.e. different shape, size, texture of buildings, missing and incomplete buildings due to the

Multimodality is a promising trend to gain the reliability for biometrics. This paper presents a novel multimodal biometric recognition with information fusion at feature level, called eigen-based feature-level fusion (E-FLF) scheme, for personal authentication. The kernel idea of the proposed E-FLF scheme is to perform the eigen analysis for finding an optimum projection on the feature's cross-energy

Data stream management (DSM) for cyber-physical systems (CPSs) provides good quality care services in the medical domain. This is a very prominent field of research that includes sensing, processing, and networking of various medical devices. The DSM for CPS is a combination of computation using Cyber world (computers or WBANs), including wearable sensors and smart meters as well as communication between

This paper presents a novel small differentially-fed open-slot antenna for diversity of the operated frequency and circular polarization. The proposed antenna structure, which consists of an L-shaped open slot and two bent feeding lines, provides two separate effective bandwidths. The proposed antenna achieves the operation bandwidths of a global positioning system (GPS) and satellite digital audio

The segmentation of cardiac MR images requires extensive attention as it needs a high level of care and analysis for the diagnosis of affected part. The advent of deep learning technology has paved the way for efficient, automatic and reliable segmentation of medical images for proper diagnosis. This manuscript proposes an augmented end to end trainable deep learning architecture for efficient segmentation

Sensor node authentication and integrity of data are of utmost importance in many decision-making processes in wireless sensor networks, with the intent that every necessary data must be digitally signed by its sensor node to send data cautiously on wireless network. No one should unlock the data other than the sink node, since only the sink node can have privilege for the verification of data. The

Unstructured clinical data such as nursing notes are relatively less explored for building a predictive model for post-discharge mortality despite containing rich information about the health of the patients. Our work examines a simple bag of words (BOW) approach for 7/30/180/365 day mortality prediction of a patient. We have also explored syntactic sentiment dimensions from nursing notes as a predictor

A wireless sensor network requires judicious utilization of its limited energy resources. As a result, the energy efficient algorithms have become a pre-requisite for healthy and prolonged functioning of these networks. Consequently, the present work minimizes the energy expenditure, maximizes the node utilization, incurs lesser state switching, and prolongs the network lifetime by proposing a partly

While fuzzy controllers with multiple fuzzy sets and non-uniformly distributed membership functions have the potential to provide better system performance, from the literature, it appears to the authors that till now, no one has found exact mathematical models of fuzzy PI/PD controllers with non-uniformly distributed multiple fuzzy sets and Center of Area (CoA) defuzzification. To bridge this gap

In this paper, a 3D potential model for a triple-gate Si MOSFET is derived in weak inversion using the variable separation technique based on a perimeter weighted approach. The channel potential is solved from Poisson’s equation along two different planes of the device separately and then using the same variable separation technique and proper boundary conditions 3D potential is addressed. Hence, the

Vehicular Ad-hoc NETworks (VANETs) is an important research domain as it deals with the safety of vehicles moving on roads. The selection of the most prominent routing protocol in this field is a challenging job due to the high mobility rate of VANETs. The foremost motive for writing this paper is to recognize the most suitable protocol that can be used for a high-density traffic region. Therefore

In the Internet of Medical Things (IoMT), the Internet of Things (IoT) is integrated with medical devices, enabling improved patient comfort, cost-effective medical solutions, quick hospital treatments, and even more personalized healthcare. The paper first provides the introduction of IoMTs and then introduces an architecture of IoMTs. Later, it provides the current operations of the healthcare system

The rapid increase in electromagnetic pollution has received focused concentration from researchers all over the world who countered the problem by producing a variety of microwave absorbing materials. Agricultural residue based eco-friendly and bio-degradable microwave absorber is an appealing and challenging area for modern-day researchers. This review paper aims to present an outline of theoretical

This paper systematically studies the reliability of non-uniformly doped Double Gate Junctionless transistor using ATLAS TCAD simulation. The reliability analysis is mainly based on the understanding of Band-To-Band-Tunneling (BTBT) current, lattice temperature, drain conductance and gate leakage current. Presented results show that higher source/drain work-function is beneficial in reducing tunneling

A smart city necessitates spectrum and energy efficiency with increasing applications which demand an increasing number of nodes in the Internet of Things (IoT) system networks. In recent years, radio frequency (RF) energy harvesting is best suited to enhance the energy efficiency required for self-sustained IoT networks incorporated in smart cities. This work proposes a rectangular dielectric resonator

(2021). Is India going to be a major hub of semiconductor chip manufacturing? IETE Technical Review: Vol. 38, No. 3, pp. 279-281.

Data preprocessing is an essential task to prepare suitable target datasets to apply statistical and data mining algorithms. It has become one of the complex segment in Web usage mining due to the massive and unstructured nature of Web server log. The data preprocessing segment in Web usage mining is divided into several phases such as data fusion, data cleaning, user identification, session identification

Quantum-dot cellular automata (QCA) design forms a cellular alternative to the conventional CMOS design approach. In the present paper, a novel design of five input majority gate is proposed. The proposed design enjoys the features of no rotated cells, single-layer structure, and robust design. A comparative analysis of the majority gate designs reported by various researchers in the literature is

In the pay-per-click online advertisement model, fraudulent publishers’ presence is rare than that of genuine publishers. This high-class imbalance between fraudulent and genuine publishers poses a challenge for the accurate classification of fraudsters due to the bias of automated learning models towards the outnumbered class. In this work, an empirical evaluation of significant popular data sampling

Dopingless tunnel field effect transistor (DL-TFET) exhibits a great potential for lowering the sub-threshold current and hence increases the ION/IOFF ratio because of its electrostatically doped source and drain. An analytical model for double gate dopingless tunnel field transistor (DG-DL TFET) is developed, for the first time, by calculating the source and drain work-function-induced doping and

We assess the estimation accuracy for two static baselines (350 m and 8 km) with NavIC L5 double-differenced (DD) pseudoranges using weighted and recursive least-square techniques for a day. Additionally, we analyze the 350-m baseline for a span of 9 months. The mean of the 3D residual sum-of-squares (RSS) error for the 350-m baseline using least-square error is 2.72 m with 1σ of 2.08 m for the 24-h

(2021). What is in store in the March-April 2021 issue of IETE Technical Review? IETE Technical Review: Vol. 38, No. 2, pp. 195-196.

ABSTRACT At present, real estate markets hold and contribute a fair share of the Gross Domestic Product (GDP) of any country. The real estate transactions generate revenue in stamp duties, which goes directly into the government kitty. However, this suffers from land document forgery and fraudulent activities due to a lack of an efficient, distributed, and completely digital system. This paper proposes

In this paper, an analytical channel potential model of an experimental nano-scaled triple gate MOSFET has been developed that is valid in the subthreshold regime. The potential model is derived by applying the Schwarz–Christoffel transformation method and conformal mapping techniques. The model is derived by superposing the influence of top gate on the potential barrier with the 2D potential solution

Efficient work of grids with the maximum potential utilization, together with supply and modern consumer satisfaction, as well as unpredictability of distributed energy sources, represents the challenge of successful load management. This paper proposes the load management framework and analyses state-of-the-art research activities from the area of load management in smart grids. It addresses three

In this article, a technique for cooperative spectrum sensing (CSS) using the Extreme Learning Machine (ELM) is proposed. ELMs are feedforward neural networks where the hidden layer parameters are not tuned, and only output weights are optimized. The simulations were done for both the fading and non-fading environments. Different combination of activation function and weight initialization scheme is

In the last couple of years, massive growth has been seen in the Internet of Things (IoT). It is being adopted by all the application areas worldwide and playing a vital role in making smart environments. In IoT based paradigms, millions of sensors and intelligent devices are linked with each other and produce a massive volume of data. For data computation and analysis, we need computing resources

The dramatic increase in the capabilities and availability of autonomous ground and aerial tools introduces safety and security challenges, particularly in protecting strategic infrastructures. In this context, the interception of multiple mobile threats, aiming to invade restricted spaces of such infrastructures is an important topic. This paper focuses on the problem of path planning for intercepting

Previous studies are focused on the cogeneration unit commitment problem (CUCP) to find optimum operating cost with satisfaction of operation constraints. However, the profit and environment emission are not considered, the obtained CUCP problem is not enough to address the multi-objective profit based CUCP (MO-PBCUCP). The goal is to find optimum heat and power generation schedule of cogeneration

A new type of cascading of Mach–Zehnder interferometer (MZI) structure is presented based on the electro-optic effect for simultaneous multiple operations of different logic families operation in this paper. Unit MZI as a switch to cascading-structure is presented, starting from the illustration of material characteristics to logic realization. It includes some exciting techniques to implement the

Scattering identification ambiguity has significant effects in the polarimetric SAR (Synthetic Aperture Radar) decomposition and can be reduced by discriminating the permanent and time-varying features using PolInSAR (Polarimetric SAR Interferometry) coherence. PolInSAR based polarimetric decomposition using cosine-squared distribution (PCSD decomposition) is an algorithm that demonstrates the incorporation

In this paper, we study the interference-unaware receiver (IUR), which does not need the knowledge of interference or the process for precoding at the transmitter, for the interference-limited multiple-input-multiple-output (MIMO) system. We show that if the number of receive antennas is smaller than a threshold, then the interference terms dominate the MIMO channel capacity and the achievable rates

Over the last decade, time–frequency masking techniques have been explored to achieve substantial improvement of speech intelligibility in noise. Binary or soft mask can be applied to the noisy speech for speech separation. Binary masking approach retains the time–frequency (T–F) units of the noise-corrupted signal where the target speech is stronger than the interfering noise, and removes the T–F

(2021). Artificial Intelligence Oriented Information Hiding and Multimedia Forensics. IETE Technical Review: Vol. 38, Artificial Intelligence Oriented Information Hiding and Multimedia Forensics, pp. 1-4.

(2021). Golden Reviewers List for IETE TR 2021. IETE Technical Review: Vol. 38, Artificial Intelligence Oriented Information Hiding and Multimedia Forensics, pp. 195-198.

ABSTRACT This paper presents a new DC to AC Modular Multilevel Converter (MMC) topology. The proposed topology requires lesser number of arms than the traditional MMC to generate equal magnitude and excellent quality of output AC voltage. The positive arm of the proposed converter is having submodules similar to traditional MMC. In contrast, passive tuned LC filters are present in the place of the

Internet of Things (IoT) enables the connection of physical objects to the internet for exchanging information. Due to the massive number in IoT devices, cellular traffic is increasing exponentially in the wireless networks. IoT devices require low latency, high reliability and massive connectivity. Fifth Generation (5G) networks are expected to provide promising solutions to meet the demands and improve

The Wireless Sensor Networks (WSNs) are mostly used for applications which hardly have human interaction and WSN is always known for its limited-energy issue. The wireless sensor nodes are equipped with an in-built power supply and have limited energy to complete their assigned tasks in WSNs. Therefore, for WSNs designing energy-efficient protocols is always been a challenging task for researchers

Multiport converters (MPCs) play an important role in increasing the demand for multi-input and multi-output applications. Further, it gives the economic operation and improves the system performance over the multiple single converters in multi-input multi-output (MIMO). Multi-input converters (MICs) have high regard for the integration of independent voltage sources utilized in Electric vehicles (EVs)

ABSTRACT The paper presents a loaded planar monopole ultra-wideband (UWB) antenna exhibiting quad-band notched characteristics. Triple U-shaped slots over the metallic radiating conductor and a meander line electromagnetic bandgap (EBG) structure are loaded near the feed line in the proposed design. These three U-shaped slots are responsible for generating triple band notches at 2.80 GHz (2.53–3.15 GHz

In recent times, the Internet of Things (IoT) becomes one of the most popular innovations in the field of information and Communication Technology (ICT), and it connects billions or even trillions of devices. Meanwhile, security and privacy stand as a vital issue in the IoT environment, which generates the need for an efficient authentication protocol. In this context, we proposed a lightweight authentication

ABSTRACT The paper presents a loaded planar monopole ultra-wideband (UWB) antenna exhibiting quad-band notched characteristics. Triple U-shaped slots over the metallic radiating conductor and a meander line electromagnetic bandgap (EBG) structure are loaded near the feed line in the proposed design. These three U-shaped slots are responsible for generating triple band notches at 2.80 GHz (2.53–3.15 GHz

(2020). Efforts of reviewers and editors need to be recognized for their service to the research community and scientific development. IETE Technical Review: Vol. 37, No. 6, pp. 551-552.

(2020). Call for Nomination Main Awards. IETE Technical Review: Vol. 37, No. 6, pp. 651-655.

(2020). Call for Nominations-2021 for IETE Corporate Award. IETE Technical Review: Vol. 37, No. 6, pp. 656-658.

ABSTRACT The distributed temperature sensing (DTS) system is useful for detecting its surrounding temperature. The fiber optic DTS system offers a number of unique features for which it find useful in a number of potential applications, such as oil & gas pipeline monitoring, high power cables monitoring, transformers monitoring, fire detection, nuclear plant monitoring, etc. In this paper, we have

This paper provides a comprehensive review of the acoustic method used for partial discharge (PD) localization in power transformer. The paper outlines the partial discharge mechanism, basic principle and properties of the acoustic emission (AE), advantages and limitations of the acoustic method compared to the electrical method, and different AE based PD localization techniques along with their algorithms

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