Vellore Institute of Technology (VIT) is a private university located in&nbsp;Tamil Nadu, India. Founded in 1984, as Vellore Engineering College, the institution offers 20 undergraduate, 34 postgraduate, four integrated and four research programs. It has campuses in Vellore, Amravati, Bhopal and Chennai.

VIT is one of the top ranked private universities in India according to NIRF, THE and QS Rankings.&nbsp;Govt. of India has recognized&nbsp;VIT, Vellore as an&nbsp;Institution of Eminence. This has allowed VIT to take independent quality initiatives and move up in world ranking.

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VIT University

Department of Communication Engineering

Beyond Fifth Generation (B5G) network aims to provide a very high data rate with minimum latency to an ultra-dense user environment. To achieve this demand, the possible approaches are network-centric and device-centric approach. In a network-centric approach, a new frequency band is introduced, and the existing network infrastructure is modified. The device-centric approach does not require any modification in the existing network infrastructure, and the demand of B5G network is achieved through optimum resource allocation methodology. Device-to-Device (D2D) is an effective device-centric approach that supports the B5G network. In this paper, we propose a dynamic sectorization technique in which eNodeB (eNB) varies the number of sectors dynamically in the network and allocates the Resource Block (RB) to D2D users. Sectoring improves Signal-to-Interference-Noise-Ratio (SINR) and network performance. We derive an expression for the probability of successful transmission and threshold to make a decision on the number of sectors based on available RBs and D2D users in the network. Further, dynamic sectoring helps eNB to perform parallel processing for reducing the denial of the request. Simulation results validate the probability of successful transmission of D2D pairs with available RBs and the effectiveness of parallel processing to reduce the denial of request with improved SINR. © 2020, Springer Science+Business Media, LLC, part of Springer Nature.

School of Electronics Engineering

Vellore Campus

World University root node

Peer-to-Peer Networking and Applications

Dynamic Sectorization and parallel processing for device-to-device (D2D) resource allocation in 5G and B5G cellular network

Developments in the gas turbine technology have caused widespread usage of the Turbomachines for power generation. With increase in the power demand and a drop in the availability of fuel, usage of turbines with higher efficiencies has become imperative. This is only possible with an increase in the turbine inlet temperature (TIT) of the gas. However, the higher limit of TIT is governed by the metallurgical boundary conditions set by the material used to manufacture the turbine blades. Hence, turbine blade cooling helps in drastically controlling the blade temperature of the turbine and allows a higher turbine inlet temperature. The blade could be cooled from the leading edge, from the entire surface of the blade or from the trailing edge. The various methods of blade cooling from leading edge and its comparative study were reviewed and summarized along with their advantages and disadvantages. © 2021 International Information and Engineering Technology Association. All rights reserved.

Department of Thermal and Energy Engineering

School of Mechanical Engineering

International Journal of Heat and Technology

Comprehensive review on leading edge turbine blade cooling technologies

Random deployment of wireless sensor network (WSN) leads to holes and coverage problem. Thus, the detection and healing of coverage holes have become major issues and obstacles for achieving the satisfactory coverage of the WSNs. For this purpose, comparison is made among tree-based coverage hole detection, Delaunay triangulation and Voronoi algorithm in terms of their performances. It helps to detect the coverage holes in WSNs. The area that is checked for holes may be more than necessary. A method is proposed that will reduce the number of sensors, so that only the desired area is checked for holes. The area that is checked for holes may be more than necessary. A method is proposed that will reduce the number of sensors, so that only the desired area is checked for holes. The proposal is to do this using image recognition technique. The image will be scanned and using the pixel occurrence of black and white colour in the image, and we should be able to identify the desired area and deploy the required number of additional sensors accordingly. We propose to compare the performance of existing tree-based algorithm and triangulation algorithms in this domain, with particle swarm optimization (PSO). © 2021, Springer Nature Singapore Pte Ltd.

Lecture Notes in Mechanical Engineering

Integration of Area Scanning with PSO for Improving Coverage and Hole Detection in Sensor Networks

On the visual perception, the real-world objects are the collection of irregular polygons. Representation and understanding the irregular polygon is an interesting and major task in various research areas. However, an approximation of the polygon is quite complex and challenging in different views. In this paper, a new approximation algorithm is proposed to represent the irregular polygon. Using centroid most of the weak points are suppressed and elimination of noise is integrated to produce better results. Iterative insertion of the dominant point is followed with suppression until the required approximation. The proposed method detects the dominant points which have a high impact on the shape and suppress the weak points. The obtained approximated polygon is with fewer vertices/points and retain the original shape with less approximation error. The experiments of the proposed algorithm are conducted using MPEG shape datasets to show its performance both in quantitative and qualitative aspect. Copyright © 2021 Inderscience Enterprises Ltd.

Department of Information Technology

School of Information Technology and Engineering

International Journal of Intelligent Enterprise

A new dominant point detection technique for polygonal approximation of digital planar closed curves

VIT Unitversity

Neural Computing and Applications

An unmanned aerial vehicle-aided node localization using an efficient multilayer perceptron neural network in wireless sensor networks

Traditional multi-criteria decision making (MCDM) algorithms are used in the handover of user equipment (UE) in an Ultra Dense Network (UDN). UDN refers to the increased density of the Radio Access Technologies (RATs) in a region which leads to the overlapping of the areas covered by individual RATs. MCDM algorithms such as TOPSIS, PROMETHEE and SAW are used to initiate handovers between these RATs based on the parameters obtained by the UE from each of the overlapping networks. However, initiating a handover abruptly and frequently, in case of availability of a new RAT without any thresholding technique proves to be unfriendly to the system resources. This can degrade the performance of the system. In this paper, a thresholding approach to the handover procedure is integrated to the MCDM process for the selection of RATs. First, an application-specific approach has been used in the selection of weights using the analytical hierarchy process which, is depending upon the application being used by the user. Then the ranking of the available RATs is done using the various MCDM algorithms and depending on the threshold specified for a handover, a decision is made whether to perform the handover process or not. In the case of streaming class of network traffic, the proposed method improves the performance of the system and reduces the handover by 13.14%, 19.35% and 8.62% of RAT modifications for TOPSIS, PROMETHEE and SAW respectively.

Telecommunication Systems

Application specific thresholding scheme for handover reduction in 5G Ultra Dense Networks

Multi-carrier code-division multiple access system support multiple users at the same time over same frequency band. It is a multiple access scheme used in OFDM-based telecommunication systems. Though it is a promising wireless communication technology with high spectral efficiency and system performance, it is prone to multiple access interference (MAI). So, this paper mainly aims to design a MC-CDMA receiver to mitigate MAI. The classical receivers like maximal ratio combining (MRC), equal gain combining (EGC), and minimum mean square error (MMSE) fails to cancel MAI when the MC - CDMA is subjected to non-linearistic degradations. In this case, the neural network (NN) receivers could be a better alternative. The efficiency and effectiveness of the proposed ELM (Extreme Learning Machine) Algorithm based receiver is studied thoroughly and explained in detailed for the MC-CDMA with non-linearistic degradations.

Department of Embedded Technology

ARPN Journal of Engineering and Applied Sciences

SIGNAL DETECTION IN MC-CDMA SYSTEM USING ELM RECEIVER TO MITIGATE MULTIPLE ACCESS INTERFERENCE AND NON-LINEAR DISTORTION(Article)

Phytochemicals, especially botanical insecticides are currently of interest because of their successful application in plant protection as biocontrol agents. Biological activity of leaf aqueous extract of ten selected medicinal plants were evaluated against the fourth-instar larvae of gram pod borer Helicoverpa armigera (H¨ubner), (Lepidoptera: Noctuidae). Antifeedant activity of leaf aqueous extracts of Abutilon indicum L., Achyranthus aspera L., Aerva lanata L., Albiziz amara (Roxb), Andrographis paniculata Ness., Cardiospermum halicacabum L., Cassia tora L., Catharanthus roseus L (G) Don., Datura metal L. and Tribulus terrestris L. were evaluated in this study. Preliminary screening after 24 h of exposure with leaf aqueous extracts of the selected plants at a concentration of 1,000 ppm exhibited significant larval mortality rate. The percentage mortality rate ranged considerably from 10.8 to 72.8. The mortality rate was observed in the decreasing order of A. paniculata > C. roseus > D. metal > A. amara > C. halicacabum > A. indicum > C. tora > T. terrestris > A. aspera >A. lanata against the larvae of H. armigera. The results imply that leaf aqueous extract of A. paniculata, C. roseus and D. metal can potentially be used as eco-friendly pest control agents against the larva of H. armigera.

Department of Biotechnology

School of Bio Sciences and Technology

Fulltext

International Journal of Scientific Research and Management

Antifeedant Activity of Leaf Aqueous Extracts of Selected Medicinal Plants on VI Instar Larva of Helicoverpa Armigera (Hubner)

The protein coding regions play a significant role for gene applications in genomic signal processing. Unlike prokaryotes, the coding regions in eukaryotes are arranged in a random manner. Owing to unequal lengths and low volume density of coding regions, the identification of coding regions makes cumbersome. In this work, a new numerical mapping method based on Walsh codes is proposed to detect the coding regions in eukaryotes. The Walsh code for each nucleotide is obtained using the statistical features of a DNA sequence. The proposed method uses static type of mapping to convert a string of DNA nucleotides into a numerical sequence. The numerical sequence is given as an input to the digital signal processing based spectrum identification tool to detect the existence of quasi-periodic components within the coding region. The advantage of our method is that it is simple to design and easy to represent. The performance of the proposed method has been tested on four benchmark databases and a random set of sequences collected from the National Center for Biological Information (NCBI) database. Furthermore, it has been compared with other state-of-the-art spectrum based numerical mapping methods for statistical features such as sensitivity, specificity and accuracy. The proposed method is efficient as it attains 94 % accuracy, 85 % sensitivity and 96 % specificity when tested on the benchmark C. Elegans gene sequence. © 2020 Elsevier Ltd

Biomedical Signal Processing and Control

Walsh code based numerical mapping method for the identification of protein coding regions in eukaryotes

Spatial modulation techniques (SMTs) have emerged as promising multiple-input and multiple-output (MIMO) technology for fifth generation (5G) networks, which can achieve an appealing trade-off between conflicting design objectives such as reliability, hardware cost, complexity, spectral efficiency, and energy efficiency. Most of the SMTs suffer from significant performance deterioration under correlated fading channels. In this paper, a novel spectral efficient SMT referred as enhanced redesigned spatial modulation (EReSM) is proposed, which is robust against adverse channel correlation effects. At any time instant, EReSM activates either one or two transmit antennas and employs a robust bits to antenna index mapping that ensures the selection of antenna subsets with maximum spatial separation to mitigate the effect of spatial correlation. EReSM also exploits phase rotation of transmitted symbols as an additional dimension to convey an extra information bit. The rotation angles used for bit mapping are optimized for various modulation schemes to maximize the minimum euclidean distance between the symbols. To analyze the performance, analytical upper bound expression for average bit error probability (ABEP) is derived for both uncorrelated and spatially correlated channel conditions. Monte Carlo simulation results substantiate the accuracy of the analytical results and also demonstrate that the proposed EReSM outperform conventional redesigned spatial modulation (ReSM) by at least 4 dB. © 2020 John Wiley &amp; Sons, Ltd.