During the last two decades, India has emerged as a major knowledge producer in the world, however different reports put it at different ranks, varying from 3rd to 9th places. The recent commissioned study reports of Department of Science and Technology (DST) done by Elsevier and Clarivate Analytics, rank India at 5th and 9th places, respectively. On the other hand, an independent report by National

Corona virus disease (COVID-19) became pandemic for the world in the year 2020 and large numbers of people are infected worldwide due to the rapid widespread of this infectious virus. Pathological laboratory testing of a large number of suspects becomes challenging and producing false-negative results. Therefore, this paper aims to develop a deep learning basedapproach for automatic detection of COVID-19

In the present study, cetyltrimethylammonium bromide (CTAB) was used to modify raw bentonite (Ben) through the replacement of exchangeable cations to form CTAB modified bentonite (CTAB−Ben). Both Ben and CTAB−Ben were characterized using scanning electron microscopy (SEM), X-ray diffraction (XRD), Fourier transform infrared (FT-IR) spectroscopy and Brunauer-Emmet-Teller (BET) analysis. Adsorption potential

Uttarkashi region is highly prone to landslides because of its geological structure. The exact occurrence of these landslides events is difficult to predict due to its complex mechanism and dependence on the number of triggering factors. Moreover, the behavior and prediction of unstable slopes are of high importance failing of which otherwise can have a devastating impact. This research work aims at

Wind turbine generators are spreading around the world due to its advantages over fossil fuels. Structural monitoring of them is important to increase operation and reduce maintenance times. Visual inspection is highly influenced by the human factor due to the working conditions. Image processing supported by vision systems offers high advantages reducing times, being the software and processing algorithms

The 5G networks are very important to support complex application by connecting different types of machines and devices, which provide the platform for different spoofing attacks. Traditional physical layer and cryptography authentication methods are facing problems in dynamic complex environment, including less reliability, security overhead also problem in predefined authentication system, giving

Torrefaction refers to the thermal and chemical treatment of organic substances (at atmospheric pressure, between 200–300°C, under inert conditions). The objective of this study is to torrefy the rice husk of Ethiopian origin, after a pretreatment with dilute sulfuric acid in order to enhance its energy density. The torrefaction temperature, holding time, and acid concentration investigated in this

One of the most widely used methods in the production of plastic products is the extrusion process. There are many factors that affect the product quality throughout the extrusion process. Examining the effects of these factors and determining the optimum process parameters which will provide the desired product characteristics; is important for reducing costs and increasing competitiveness. This study

The major causes of radio frequency radiation hazards are the transmitting antennas of radio, TV, radar, cell phones, wireless data acquisition systems and global positioning systems in the new age of communication technology using various modulation schemes such as amplitude modulation (AM), frequency modulation (FM) etc. The transmitting antennas of these communication devices generate electromagnetic

Experimental investigation has been conducted on a collector for non-cross flow configuration. The structure incorporates fins with impinging air jets below the absorber surface. The main aim is to examine the significance of implicating both the methods on heat transfer and thermal performance of the apparatus. Testing covers a prescribed range of operating and geometrical parameters such as, fin

Osmotic dehydration of elephant apple fruit slices was optimized using a Box-Behnken design. Sugar concentration, immersion time and drying air temperature were chosen as the experimental input variables. These were optimized by estimating the desirable osmotic properties and by evaluating the phenolic compounds, antioxidant activity and rehydration ability. The regression coefficients of all the valid

An investigation was carried out to design, develop and evaluate the performance of manually operated Lever type Maize Sheller (LMS). It consisted of a handle, guiding rod, supporting rod, spring loaded ram, maize cob guiding cylinder, shelling blade, buffer, collection chamber, shutter and frame. Performance of developed LMS was statistically compared with Tubular Maize Sheller (TMS) in terms of throughput

Growing environmental concern and fast depletion of conventional fossil fuel resources have induced an urgent search for alternative energy sources. In this regard, biodiesel obtained from Jatropha oil (a non-food oil), seems to be a very promising alternative. Though a lot of research is already done in catalytic transesterification, in the present work, conversion of high FFA (5.5%) bearing Jatropha

Deep neural network has emerged as one of the most effective networks for modeling of highly non-linear complex real-time systems. The long-short term memory network (LSTM) which is a one of the variants of recurrent neural network (RNN) has been proposed for the identification of a highly nonlinear Maglev plant. The comparative analysis of its performance is carried out with the functional link artificial

The advent of computer vision and evolution of high-end computing in remote sensing images have embellish various researchers for unprecedented development in remotely sensed aerial images. The requirement to extract essential information stimulated anatomization of aerial images for its usefulness. Deep learning provides state of the art solutions for widely explored visual recognition system and

Multi-relational classification is highly challengeable task in data mining, because so much data in our world is organised in multiple relations. The challenge comes from the huge collection of search spaces and high calculation cost arises in the selection of feature due to excessive complexity in the various relations. The state-of-the-art approach is based on clusters and inductive logical programming

In this paper, a QR Code Identity Tag System designed for Turkish healthcare and served through the cloud is presented. The system designed is a distributed information management system as the medical data objects are geographically distributed over the system. The data objects are geographically distributed as they are placed on servers closest to the geographical location where they are most frequently

Using panel data from 30 Chinese provinces for the period between 2003 and 2017, this paper explores the relationship between the aging and technological innovation. The global principal components analysis is used to construct the index system of technological innovation from three aspects: innovation input, innovation output and innovation diffusion. Then, the inverted U-shape relationship between

A variety of safety protective devices (SPDs) are currently available on the machinery safety market. SPD complexity and cost depend on the safety feature implemented as required for a specific piece of machinery in its working environment. However, one type of inexpensive SPD is mandatory for many types of machines: the emergency stop device (ESD). This paper introduces a novel ESD recently developed

In this paper, a MATLAB based smart antenna testbed that efficiently localizes the line-of-sight (LOS) source in the presence of multipath signals is developed. By exploiting the consistent amplitude nature of the LOS signal, a variant of Constant Modulus Algorithm, namely Multitarget-Least Square Constant Modulus Algorithm is employed to adapt and update the weights of the smart antenna for estimation

A digital controlled dielectric barrier discharge (DBD) AC (Alternative current) power supply is designed and investigated. The power source design with a diode bridge rectifier and PWM (Pulse Width Modulation) inverter along with driver circuits are presented. A step-up transformer is designed to carry 4.6 kW and 10 kVp-p for a dielectric barrier discharge (DBD) AC power supply and ozone generation

The impact on a falling wedge upon water entry is numerically investigated in this paper. After verified by experimental data, the numerical framework is applied for parametric studies on wedges of different drop heights and different deadrise angles to reveal the interaction behaviour between the wedge and water during impact. Pressure distribution on the wedge surface during the water entry shows

The main aim of current work is to analyze the influence of groove location on the pressure profile of the hybrid journal bearing. The objective is to develop solution algorithm and computer program which will provide pressure profile developed in the space of clearance of bearing having a given value of Somerfield number. The solution algorithm shall also provide three dimensional pressure profiles

Researchers are proficient in preprocessing skin images but fail in identifying efficient classifiers for classifying skin cancer due to the complex variety of lesion sizes, colors, and shapes. As such, no single classifier is sufficient for classifying skin cancer legions. Convolutional Neural Networks (CNNs) have played an important role in deep learning, as CNNs have proven successful in classification

Electromyography (EMG) signals are bioelectric signals generated by the electrical activities of muscle fibers during contraction or relaxation. Detailed analysis and classification of the complex nature of the signal when related to movements is complicated. However, these are useful for controlling prosthesis and orthosis control systems. In this paper the relevant set of features and the classifier

Quassinoids are a class of bioactive compounds that are obtained from the Simaroubaceae family. This family consists of more than 170 species of trees and bushes of pantropical distribution. Due to their potent bioactivity against chronic illness, the quassinoids are regularly explored for their biological activities. This has resulted in the buildup of scientific literature. Therefore, here we analyzed

This paper presents a novel Artificial Neural Network based Fault Detection, Isolation and Substitution (ANN-FDIS)algorithm for faulty sensor measurement in Liquid Rocket Engine (LRE). Fault detection and isolation are done by residual and fault flag logics and the trained multilayer perceptron model Artificial Neural Network (ANN) substitutes faulty sensor measurement. Data for ANN training, testing

In this work, the authors synthesized three different acrylates by esterification reaction of acrylic acid with long chain alcohols (octyl alcohol, decyl alcohol and dodecyl alcohol). Homopolymer of castor oil (CO) and three copolymers of castor oil with acrylates were synthesized by free radical polymerization using azobisisobutyronitrile (AIBN) as initiator. FT-IR and NMR spectral technique were

The purpose of vehicular ad hoc network (VANET) is timely, effectively and efficiently transmission of urgent messages from source to destination. These objectives can be solved effectively with geocast routing approaches in VANETs as the most of the intelligent transportation system (ITS) applications require sending information to the vehicles belonging to a particular geographic region. In this

The Chlorella sp. biodiesel was produced from the microalgae oil via transesterification process. Three combinations were studied. Blend of biodiesel (20%) with diesel (80%) was prepared and denoted as B20. Then the TiO2 nanoparticles were added to each B20 blend samples in a quantity of 50 and 100 ppm using an ultrasonicator. In compliance with the American Society for Testing and Materials (ASTM)

The motive of this work is to develop an Algorithm for compression with high compression and good value of PSNR. The target presently changed by including appropriate transform and encoding strategies to accomplish the task. The ideal of image compression is chosen depending on a trade off among PSNR and CR. The goal is additionally discovering an ideal algorithm for medical image compression. The

In this investigation, combined effects of various sonication time and power on dispersion of 0.75 wt.% In-situ amine functionalized multi-layer Graphene (AF-MGL) in polymer matrix were studied. To ensure proper dispersion of AF-MGL in the epoxy matrix, sonication times of 10, 40, 70 min and powers of 20, 40, 60 W were used. The tensile test results indicate an initial increase in tensile modulus at

Switched reluctance motor (SRM) drive has gained popularity in high-performance motion control applications where high speeds and soft torque are required. Nevertheless, presence of flux harmonics in the air gap results in unattractive torque ripples. The torque ripples deteriorate the performance of the high-performance drive applications. In this paper the speed of the SRM drive is controlled by

Continuous feed Aloe vera whole gel extraction equipment comprises of six major components, (a) Outer frame to hold functional components; (b) Conveyor belt; (c) Drive mechanism for gel extraction system; (d) Whole gel extraction mechanism; (e) Collection trays for extracted gel and rinds; (f) Motor. Leaf base and sharp spines of matured Aloe vera leaves are removed before feeding into equipment. Combination

Appropriate decision on perfect commodity prediction under market’s constant fluctuations intensifies the need for efficient methods. The main objective of this study is to apply different optimization algorithms such as conventional particle swarm optimization (PSO), bat algorithm (BAT) and ant colony optimization (ACO) algorithms on back propagation neural network (BPNN) to enhance the accuracy of

An adaptive median filter with a circular kernel, named as circular adaptive median filter (CAMF) is proposed in this article, for denoising of magnetic resonance imaging (MRI) images corrupted by salt and pepper noise of varying noise densities. An adaptive operation is incorporated in the proposed filter by varying the size of the circular kernel according to the requirement. The effectiveness of

The implementation of different forms of public aids for industrial companies is standard practice in all countries to promote economic development and job creation. This study presents a comparative analysis of the effectiveness of different instruments for public aid to industrial companies. Using a wide sample of Spanish companies that have received four types of public aid, it has been possible

This study sought to identify and analyse the relationships between burnout syndrome, occupational stress and pleasure and suffering at work from young Brazilian workers’ perspective. The research was conducted with a probabilistic sample of younger employees living in São Paulo, Brazil, who returned 493 valid questionnaires. The data were submitted to exploratory factor analysis, followed by structural

This paper discusses about how automation plays its role in achieving sustainable energy management in broadly two aspects, industries and homes. Industrial or factory automation has its own benefits, and techniques have been evolved to cut down the power usage to significant levels of the conventional ways using Variable Frequency Drives (VFD). Home automation is equally important, controlling electrical

This paper aims to examine how the cost structure of certified public accountant firms changed after the accounting reform of 2005. Korea enacted various accounting reform acts adopting Sarbanes-Oxley Act in 2005. Our sample comprises 1,230 firm-year observations from 1997 to 2012. The sample period is decomposed into two sub-periods: pre-reform (1997–2004) and post-reform (2005–2012) periods. We estimate

In this paper, a novel configuration for bidirectional hybrid time and wavelength division multiplexing (TWDM) optical access network is presented that fulfills the growing broadband requirements of next generation 5G customers. A purely passive system module is suggested for 512 subscribers that can communicate at a line rate of 240 Gbps in downlink and 160 Gbps in uplink over the common fiber cable

Having systematic maintenance practices does sustain the lifecycle of the facilities. Hence, engineers have always been seeking for practical approaches toward providing better maintenance scheme. Such attempts have resulted in the appearance of numerous maintenance management models including the most commonly accepted one, that is, the total productive maintenance (TPM). Although the concept of TPM

Mobile ad hoc network (MANET) is a temporary network which can be utilized for emergency applications. It is easy to deploy the attackers in the network. The network performance may get degraded due to the presence of attackers. Black hole attack is the major attack which will totally violate the network rules and degrade the routing process. In this research, the Reliability Integrated Intrusion Detection

Recognizing that much of art collaboration projects undertaken by businesses today consume art for simple marketing purposes only and that even academic research on art collaboration is lopsidedly focused on the marketing function thereof, this study explores prospects for long-term collaboration between fine art and businesses. Contrasting the majority of one-time marketing events that have been organized

Error performance (EP) and capacity improvement (CI) are two important aspects essentially addressed using NOMA in the future cellular networks. In a dense user environment, transmit antenna selection NOMA (TAS-NOMA) algorithm if often employed to save the power. Apart from this antenna selection scheme, it is significant to manage sum rate calculation (i.e., spatial diversity) and delay (latency)

In this paper, a modified version of social group optimization (SGO) has been proposed i.e discreet social group optimization (DSGO), to find out the optimal path for travelling salesman problem (TSP), which is one of the well known NP-Hard problems. Its performance has been compared with Genetic Algorithm (GA) and Discrete Particle Swarm Optimization (DPSO) and the results found are competitive. It

A hybrid algorithm is presented for CEED problem with generation, emission and combustion of fuel & emission cost as an objective. The proposed algorithm is combined with both ant lion optimizer and grass hopper optimizations called as integrated ant lion grasshopper optimization algorithm (IALGOA). To find an optimal solution for a CEED, the IALGOA is proposed in this paper. The IALGOA performance

Water resources are scarce. It is important to measure the effect of water resources utilization. This paper builds a DCEG model to estimate the influence of water rights business from China. This paper uses data of 29 municipalities, autonomous regions and provinces of China in 2019. The results show that it is helpful for the economic growth of China.

In this paper, Metal-Insulator-Metal (MIM) based dual-band plasmonic bandpass filters (BPF) with single and dual silica slits design and analysis is presented. The Square Ring Resonator (SRR) is coupled using Coupled feed line for dual-band operations. The coupled feed line is used for dual-band operating wavelengths, 1300 nm (230.6 THz) and 1600 nm (187.37 THz). Design and simulations are performed

Passive radar is of interest in many aspects. These radars accomplish target localization by receiver sensors. In this paper, we investigate the effect of the sensors arrangement on the performance of multi-transmitter and multi-receiver passive radar and present a method to maximize target localization accuracy on the important locations by the optimal arrangement of receiver sensors. The proposed

During the present investigation, eight commonly grown rice varieties of temperate highland regions of Kashmir were selected to study different quality attributes. The dimensional and physical properties of selected rice varieties differed significantly (p≤0.05). With regard to colour coordinates (L*, a*, b*, chroma and hue angle), all the varieties showed significant (p≤0.05) variation except b* value

In this study new cross-linked polyethylene based membrane was prepared by solution casting method in the presence of solvent Xylene using different proportions of fly ash particles. These composite membranes showed good selectivity and flux towards organics separation as compared to pure polymer membrane. Membranes were used in a lab scale pervaporation setup to separate 10 wt. % of ethanol water

Probiotics referred to a group of living microorganisms which highly influence the human health. A number of studies have highlighted on the bio-therapeutic potential of Lactobacillus reuteri strains, especially in treating eradication of Helicobacter pylori. Therefore, in present investigation, statistical methods were applied to optimize medium composition for high cell mass production of L. reuteri

Low power static random access memory (SRAM) takes significant portion of area on chip in all modern SOCs and emerging Computing-in-memory applications for edge devices in IoT. This work proposes novel readability assist with the double-diode based word line under drive (WLUD) has been effective improving the read-static noise-margin (RSNM) by 26–46%and proposed a capacitor based current controlled

Security is indispensable concern part of the WSN. The reliable mechanisms and routing schemes are facing different set of encounters in the era of authentic status quo and it is also very knotty. Problem is identified in the recognition of untrusted nodes and routes followed from source to destination along with the restraint of battery status in WSN. No effective technique is there to avert the vindictive

Tolerance analysis is a difficult task and an optimum tolerance allocation for individual parts is done to reduce the process error. This paper articulates the effect of changes in the link lengths due to manufacturing tolerance variation on the target path, assembly cost and joint torques of an R-R-R (three revolute joints) configuration planar three link robot manipulator. Genetic Algorithm (GA)

The technical institutes of India are seeking to create enough engineering graduates needed by employers. However, the capability to improve the quality of the average Indian engineering graduates has not yet been disclosed. The researchers of this paper suggested a critical model of integrated quality management systems (IQMS) with twenty key elements (IQMS 20-KE), which is nothing more than a package

Traditional physical therapeutic sessions for stroke inflicted patients include- mobilisation, strengthening and stretching exercises of the affected limb. These methods proved to be advantageous in regaining lost strength, but seemed to be boring and less engaging. Virtual Reality techniques of rehabilitation are involving and excite patient’s interest to participate. This research is based on improving

The industrial facilities inject noise to the power line. Concerning this issue, researchers are focusing their effort on developing new techniques for analyzing the power quality of the power net. This work presents a novel methodology for power quality disturbances detection and classification based on the Harris hawks optimization algorithm and discrete wavelet transforms decomposition of the signal

Correlation studies made with nineteen diverse genotypes of baby corn (Zea mays L.) for seven nutritional quality parameters, viz., sugar, protein, potassium, ascorbic acid, phosphorus, iron and calcium contents revealed the positive association of protein content with ascorbic acid, sugar and calcium and negative with potassium and phosphorus. Ascorbic acid got a positive correlation with all the