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

(2020). Correction. IETE Technical Review. Ahead of Print.

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

In this communication, ring dielectric resonator antenna is structured and investigated. Dual interrelated circular ring is used to stimulate the ring ceramic material. Three essential appearances of proposed radiator are: (a) interrelated circular ring is used to excite HEM11δ and TE01δ mode in ring-shaped ceramic; (b) T-shaped microstrip line along with linked circular ring is helpful to create CP

Image inpainting can effectively repair damaged areas, but it can also be a way of image tampering when it is used to remove meaningful content from an image. Therefore, this paper focuses on the research of inpainting forensics, and proposes a multi-task deep learning method. In order to enhance the learning of texture features, the corresponding local binary pattern channels are added to the input

In this paper, we design a new high-capacity constructive steganographic scheme by optimal texture image block synthesis. First, original texture pattern is divided into multiple seed patches, which are hashed into a blank stego pattern by the key. Furthermore, we employ generated seed patches to reconstruct a candidate pattern, which is scanned by sliding window to generate a series of candidate texture

With the growth of natural language processing technology, coverless text steganography has attracted the attention of a large number of researchers. Most existing text steganalysis methods are based on traditional neural network to extract and analyze the semantic features of automatically generated steganographic text. However, due to the limitation of traditional neural networks to preserve subtle

(2020). COVID-19: How Institutions, Teachers and Students in India have geared up for Online Education? IETE Technical Review: Vol. 37, No. 3, pp. 221-222.

HTTP tunnels almost obscure the original contents and behaviors of network applications, which makes it challenging for the network management and cybersecurity equipment to identify the hidden network application behaviors. Many efficient detection schemes have been exploited for network application identification in prior works. However, the following “Last Mile” problem, the application behavior

(2020). What is in Store in the March–April 2020 Issue of IETE Technical Review? IETE Technical Review: Vol. 37, No. 2, pp. 109-110.

Over the last three decades, finding the mathematical models of fuzzy controllers has become an interesting area of research in the control community. The mathematical model of a controller gives a clear insight into the analytical structure of a controller and helps to understand the control problem in the framework of well-defined control theory. Because of modelling and computational complexities

The importance and impact of transient studies with appropriate distribution system modelling is highlighted in the present work. New and realistic modelling techniques to be employed in modern distribution system are presented. Various issues, arising due to the energization of photovoltaic (PV) transformer on active industrial loads in a distribution network, are modelled. Sudden energization of

As the communication industry is hurtling towards greater bandwidth and higher data-rate to satisfy the ever-increasing data demand; terahertz range of frequencies from 100 GHz to 3 THz are being investigated as a possible replacement of the conventional mm-wave technology. In this review, we have put forward a detailed analysis of the applicability of this aforementioned THz range in different link

Intelligent Transportation System (ITS) is gaining attention but at the same time, road accidents, congestion, delays, etc. have also increased. Relative information about such events is vital. Such information can be presented in legal processes as digital proof. Availability of the information is not a problem as multidimensional data have been recorded all the time by ITS. Recording all the information

After careful consideration, we have revised the abstract to “Images are adopted as information hiding carries in recent years, which has brought challenges to multimedia forensics and security. In order to improve the feature selection speed while maintaining the detection accuracy and reducing the feature dimension, this paper proposes a fast feature selection method for detecting stego image with

Personal communication methods in underground coal mines are far less sophisticated and efficient than surface level communication techniques. This deficiency can be attributed to the generally unfavourable and hazardous environment prevailing underground which acts as a deterring factor for their development. However, effective and reliable communication between underground coal mines and the control

Dopingless Tunnel Field Effect Transistor is a prominent device because of its low sub-threshold swing and fast switching speed. In this paper, DL-TFET is investigated for enhancing the performance parameters by applying different engineering techniques. The hetero-junction is implemented in the DL-TFET for increasing the ION current. Further, for reducing the ambipolar current and enhancing the ON-characteristics

As an important branch of reversible data hiding, reversible data hiding in encrypted images (RDH-EI) can embed secret message into images, but also effectively protect the privacy of the images in an open environment. Most of the recently proposed RDH-EI methods are based on the public-key cryptosystem. However, the expansion rate of the public-key cryptosystem is too high to make the information

SILK, as an efficient speech codec, has been widely used in real-time interactive communication and can be a good carrier for hiding information. This paper proposes a secure steganographic scheme in SILK pitch domain based on speech signal correlation and statistical distribution of pitch lags. Considering that even minor modification of pitch lags will reduce time correlation of speech signal and

The performance of a sub-100-nm gate-length p-channel TFET-based biosensor (pTFET-BS) covering a wide range of protein-molecules is presented, and for the first time the optimized length-range of the nanogap cavity of the biosensor through the modeling of the presence of discrete number of biomolecules, followed by shift-saturation in corresponding transfer characteristics, is reported in this paper

The initialization problem of electromagnetic transient simulation is to calculate the steady-state solution of the differential equations describing the electromagnetic transients of power systems. Currently, the widely used initialization method in electromagnetic transient programs (EMTP) is the fixed-point iteration or the so-called EMTP-based approach where the steady-state periodic response is

Major efforts have been made to study the electromagnetic field (EMF) generated by a magnetic dipole (MD) inside the sea. The traditional techniques for these studies largely contain complicated analysis of Sommerfeld integrals (SIs) that hardly to solved strictly. To simply offer the physical explanation of the EMF radiation in planar multi-layered media, this study considers the electromagnetic fields

Bluetooth Low Energy (BLE) is a popular low power wireless technology, used for short-range communication. In BLE networks, discovery process enables fast and energy-efficient communication, since all communications must involve it at the first step. For this reason, some studies have proposed novel discovery schemes to improve the performance of device discovery process. Nevertheless, literature report

Active learning (AL) is an emerging machine learning technique, which works with fewer labeled instances, thereby reducing labeling as well as learning cost. Various AL query strategies are available to identify the candidate query instances for achieving a generalized hypothesis. However, the AL query strategies sometimes produce redundant or overlapped instances as candidate instances, due to the

With the development of smartphones and mobile wireless network, social discovery applications are becoming more and more popular now. These applications help users to chat with nearby people and make friends. However, the location of a user could be exploited by attackers in some situations. This paper concentrates on the protection of location privacy in social discovery application. Firstly, we

The hyperspectral remote sensing images (HSIs) are acquired to encompass the essential information of land objects through contiguous narrow spectral wavelength bands. The classification accuracy is not often satisfactory in a cost-effective way using the entire original HSI for practical applications. To enhance the classification result of HSIs the band reduction strategies are applied which can

Nonlinear problems have drawn the attention of many researchers, engineers and scientists as most of the real systems are inherently nonlinear in nature. These systems widely exist in many industrial processes such as thermal process, fluid process, pH neutralization process, and so on. They can be customarily classified into lumped parameter systems (LPSs) and distributed parameter systems (DPSs)

(2020). What is in store in the January-February 2020 issue of IETE Technical Review? IETE Technical Review: Vol. 37, No. 1, pp. 1-2.

Separable reversible watermarking enables two encoders to separately embed a payload in a cover, and the original cover can be reconstructed by cooperation. It is required to limit the embedding distortion for the two encoders so that the marked content will not be seriously degraded, whereas both encoders expect to embed a sufficient payload. It motivates us to present a two-encoder game related to

Digital watermarking has various applications in which it plays an important role; these include document security and multimedia vendor copyrights. This paper presents an efficient watermarking technique called ‘modified selective embedding in low frequency’ (M-SELF) implementing a Fast Fourier Transform (FFT) for frequency domain analysis where FFT shift brings down lower-frequency components to