Journal Papers (June 2021)

1,201

KIIT School of Applied Sciences


1. Barik, S.K., Bramha, S.N., Pattanaik, A.K., Patel, R.K., Bastia, T.K., Samal, R.N., Behera, D. and Rath, P. (2021), Phosphorus Sorption Behaviour of the Largest Brackish Water Lagoon, South Asia Journal of Earth System Science, 130, 48, DOI:10.1007/s12040-020-01550-6

Abstract:

The Chilika Lagoon is the largest brackish water ecosystem in the Asian continent and is a Ramsar site. Here, the sorption–desorption study was standardized simulating the environmental condition to ascertain whether phosphorus is the source or sink for sediments. The sorption behaviour of phosphorus was better fitting into the modified Langmuir model. The effects of salinity, pH, and temperature on phosphorus sorption were found to be better understood by nonlinear relationships. The maximum sorption capacity was more (258 mg/kg) in the freshwater stretch of the lagoon.


2. Patra, T., Panda, J. and Sahoo T. R. (2021), Synthesis of Mn3O4 Nanoparticles via Microwave Combustion Route for Electrochemical Energy Storage Application, Materials Today Proceedings, 41, 247-250.   DOI: https://doi.org/10.1016/j.matpr.2020.08.802.

Abstract:

In the present article, synthesis of manganese oxide (Mn3O4) nanoparticles by microwave-assisted combustion method was further investigated as an electrode material for supercapacitors. The as-synthesized Mn3O4 nanoparticles were characterized by powder X-Ray Diffraction (XRD), Scanning Electron Microscope, UV-Visible spectroscopy, etc. The XRD pattern reveals a crystalline, tetragonal phase of Mn3O4 (hausmannite) nanoparticles with a crystallite size of 28.08 nm. Investigations on the electrochemical properties of Mn3O4 nanoparticles were carried out by using Cyclic Voltammetry and galvanostatic/potentiostatic charge discharge studies. The results signify that the obtained Mn3O4 nanoparticles can be used as a potential electrode material for supercapacitor applications.


3. Palai P., Muduli S., Priyadarshini B. and Sahoo T. R. (2021), A Facile Green Synthesis of Zno Nanoparticles and Its Adsorptive Removal of Congo Red Dye From Aqueous Solution, Materials Today Proceedings, 38, 2445-2451. DOI: https://doi.org/10.1016/j.matpr.2020.07.387

Abstract:

Zinc oxide nanoparticles (NPs) have been synthesized by a greener approach using Acacia concinna fruit extract via sol-gel technique. These bio-synthesized ZnO NPs were characterized by XRD, SEM, FTIR, BET and HRTEM techniques. XRD pattern revealed that samples are crystalline with  hexagonal ZnO phase with wurzite type structure. SEM analysis suggested that particles are porous and in agglomerated form. Adsorption of Congo red dye using these ZnO NPs was investigated extensively. The kinetics, thermodynamics and adsorption isotherm data obtained from the batch experiment analysis of the Congo red dye with 92% efficiency of adsorption.


4. Mishra, A.K., Dwivedy, D.,  Panigrahi, M.R., and Devi, M., (2021), Structure and Diffuse Dielectric Study of CCT1-Xbixo  Thin Film for X=0.02 Synthesized via Untraditional Sol-Gel Route. Physica B: Condensed Matter, Vol. 601.  DOI: https://doi.org/10.1016/j.physb.2020.412673

Abstract: 

CaCu3Ti4O12 (CCTO) ceramic thin film is prepared using modified sol-gel route and reitveld refinement was done using Maud (2.92) for structural analysis. SEM  micrographs show randomly oriented and dense rod like microstructure. The dielectric constant of the film is measured in the frequency range 100 Hz–1 MHz with variation in temperature from 100 to 600 K. The observed typical relaxor behaviour of the material is confirmed by peaks broadening at low frequency with increasing temperature and the peaks shift to low frequency region with decreasing temperature. This relaxation behaviour arises due to space charge polarization.


5. Das, D. K., Sahoo, S. K., Purohit, P. and Sahoo, S. (2021), A Study on the Tensile Force and Shear Strain of Trilayer Graphene, The European Physical Journal Applied Physics, Vol. 93, No. 3.   DOI: https://doi.org/10.1051/epjap/2021200357

Abstract:

As the number of graphene layers increases, its’  mechanical property also changes. Liu et al.  have studied the tensile force and shear strain of bilayer graphene. They observed that values of both the parameters increase as the length increases. In this paper, we studied the same parameters for trilayer graphene. In trilayer graphene, we observed that with increasing length of the material, the tensile force increases and shear strain decreases. The change of mechanical behaviour from bilayer to trilayer graphene indicates that such changes would continue for higher number of layers with potential implications in the near future.


6. Mohanty, S. P., Swain, K. P., Sahoo, S. K. and Palai, G. (2021), Realization of Temperature Measurement Using Semiconductor Based Photonic Crystal Structure, Turkish Journal of Computer and Mathematics Education, Vol. 12, No. 10, 1502–1510, DOI: https://turcomat.org/index.php/turkbilmat/article/view/4472/3834

Abstract:

Semiconductor-based two-dimensional triangular photonic crystal structures are focused to measure the temperature where semiconductors like Silicon, Germanium, Indium Arsenide, and Indium Antimonide used as background materials. The triangular structures are exposed to a light  of wavelength 10.59 μm to estimate the temperature. Since the absorbance of the background materials is zero at incident signal, the energy of transmitted light solely depends on the reflected light energy. Further plane wave expansion technique was used to analyse the photonic bandgap structure for  calculation of output energy. The results are obtained by appraising the energy level of transmitted light through the photonic crystal structure.


7. Singha, A., Praharaj, S., Rout, S.K., Verma, R. and Rout, D., (2021), Ferroelectric and Dielectric Study in 0.78Na0.5Bi0.5TiO3-0.2SrTiO3-0.02K0.5Na0.5NbO3 Lead Free Ceramic, Materials Research Bulletin, Vol. 142. DOI: https://doi.org/10.1016/j.materresbull.2021.111407

Abstract: Application of electric fields (>30 kV/cm) induces a peculiar pinching effect on PE loops of 0.78Na0.5Bi0.5TiO3-0.2SrTiO3-0.02K0.5Na0.5NbO3 ceramic, attributed to pinning of domain walls by defect dipoles. ε(T,f) and tanδ(T,f) curves in 25–600 °C range speculate emergence of relaxor phase related to evolution of highly polarizable dipolar entities  of different symmetries. The crossover of LT-PNRs to HT-PNRs results in thermal and frequency-insensitive dielectric permittivity from 120 to 320 °C, and 1 to 106 Hz with > 3200 (±15% fluctuation) at 150 °C.


8. Sahoo, M. and Patra, A. (2021), Modified Decomposition Method Based on Natural Transform for Solving Nonlinear Differential Equations Using Newton–Raphson Scheme,  Int. J. Appl. Comput. Math, Vol. 7, Article No. 91. DOI:  https://doi.org/10.1007/s40819-021-01037-y

Abstract: In this article, we adopt the modified decomposition method (MDM) to find definite results of three different types of first-order nonlinear ordinary differential equations involving algebraic and transcendental functions and one second-order ordinary differential equation together with initial conditions. The MDM involves techniques of the natural transform method and also the algorithm of Adomian’s decomposition method in which Adomian’s polynomial is modified by involving Newton-Raphson scheme. We determine the series solutions by using MDM for each problem and show that they converge to the exact solutions.


9. Misra  R and Acharya S  (2021),   Smart Nanotheranostic Hydrogels for on-Demand Cancer Management,  Drug Discovery Today, Vol 26, 344–359.  DOI: 10.1016/j.drudis.2020.11.010

Abstract: Enormous research has attempted to explicate the complexity of tumor for conceptualizing effective approaches for unmet challenges of patients. The budding notion of applying nanotheranostics for cancer management has transcended from a “hype to hope” scenario. Furthermore, use of engineered hydrogels containing nanotheranostics have paved the path for generating smart cargos for effective diagnosis and remission. Hydrogels, used as reservoirs for smart nanotheranostics, facilitate sustained release of drug and imaging agents for prolonged time, thereby assisting in early disease diagnosis, therapy and prognosis. This article discusses, in a comprehensive way, about the engineered hydrogels as biomedical theranostic agents.


10. Sahoo, T., Panda, J.; Sahu, J., Sarangi, D., Sahoo, S. K., Nanda, B., and Sahu, R. (2021), Green Solvent: Green Shadow on Chemical Synthesis, Current Organic Synthesis, Bentham, Volume 17, Number 6, 426–439.

Abstract: The notion of Green Chemistry has been identified as the efficient medium of synthesis of chemicals and procedures to eradicate the toxic production of harmful substances. The green solvents are undoubtedly a far better approach to eliminate the negative impacts and aftermath of any chemical synthesis on the environment. Our study in this review covers an overview of green solvents, their role in safer chemical synthesis with reference to some of the important green solvents, and their detailed summarization.


11. Panda, J.,   Sahu, S. N., Pati, R., Panda, P. K. Tripathy, B. C.,  Pattanayak, S. K., and Sahu, R. (2020) Role of Pore Volume and Surface Area of Cu-BTC and MIL-100 (Fe) Metal-Organic Frameworks on the Loading of Rifampicin: Collective Experimental and Docking Study, Chemistry Select, Vol. 5, Issue 40, 12398–12406.

Abstract: This work focuses on study of the effects of structural parameters of MOFs on loading of the drug Rif. We have synthesized Cu-BTC and MIL-100 (Fe) by adopting a solvent-free greener route using a kitchen grinder and  characterized using Scanning Electron Microscopy, Powder X-ray Diffraction, Fourier-Transform Infrared Spectroscopy, N2 adsorption isotherm and Thermo Gravimetric Analysis. We have also studied the cytotoxicity of MOFs and binding energy between Cu-BTC and MIL-100 (Fe) and the anti-TB drug Rif. Though MIL-100 (Fe) have high surface area as compared with Cu-BTC but the loading capacity of Cu-BTC is higher than the MIL-100 (Fe).


12. Sahu, S.N., Mishra, B., Sahu, R., and Pattanayak, S. K. (2020), Molecular Dynamics Simulation Perception Study of the Binding Affinity Performance for Main Protease Of SARS-Cov-2, Journal of Biomolecular Structure and Dynamics, 1–16. DOI:  https://doi.org/10.1080/07391102.2020.1850362.

Abstract: We have studied the molecules intended toward inhibition process through molecular docking and molecular dynamics simulation process. Remdesivir shows better binding affinity toward the main protease of SARS-CoV2 compared to other studied drugs. Our study indicates that carnosic acid shows better binding poses toward main protease of SARS-CoV2 among studied phytochemicals. The amino acid residues GLN110 and PHE294 were found in almost all  studied interactions of drugs and phytochemicals with main protease of SARS-CoV-2. Furthermore, the results show a larger contribution of the Van der Waals energies suggesting that ligands at the binding pocket are predominantly stabilized by hydrophobic interactions.


13. Vinod, C. and Jena, S. (2021), Nano-Neurotheranostics: Impact of Nanoparticles on Neural Dysfunctions and Strategies to Reduce Toxicity for Improved Efficacy, Frontiers in Pharmacology, 12, 612692, DOI:10.3389/fphar.2021.612692.

Abstract: One of the challenging targets for nanotheranostics is the nervous system with major hindrances from the neurovascular units. Most synthetic nanomaterial cannot pass through this blood-brain barrier, making it difficult for diagnosing or targeting the cells. Certain neural pathologies have compromised barrier, creating a path for most of the nanoparticles to enter into the cells. However, such carriers may pose a risk of side effects to non-neural tissues and their toxicity needs to be elucidated at preclinical levels. This article reviews the past works on the different types of nanotheranostics, their side effects, detected toxicity,  and strategies to reduce it.


14. Sahu, G., Das, M., Sethy, C., Wazalwar, R., Kundu, C. N., Raichur, A. M., and Tripathy, J., (2021),  Ionic Liquid-Assisted Fabrication of Poly(Vinyl Alcohol)/Nanosilver/Graphene Oxide Composites and Their Cytotoxicity/Antimicrobial Activity, Materials Chemistry and Physics, Vol. 266. DOI: https://doi.org/10.1016/j.matchemphys.2021.124524.

Abstract: Poly(vinyl alcohol)-based nanocomposite films (PVA/Ag/GO-IL) were fabricated using ionic liquid for antibacterial applications. The morphological, structural, thermal and mechanical characteristics of the nanocomposite films were investigated and compared with PVA/Ag/GO nanocomposite films fabricated without using ionic liquid. The antibacterial tests of nanocomposite films were performed on E. coli and S. aureus using two different methods. The nanocomposite films exhibited superior antibacterial activity and good biocompatibility.


KIIT School of Biotechnology

1. Verma, S. K., Panda, P. K., Kumari, P., Patel, P., Arunima, A., Jha, E., Husain, S., Prakash, R., Hergenröder, R., Mishra, S. K., Ahuja, R., Varma, R. S. and Suar, M. (2021), Determining Factors for The Nano-Biocompatibility of Cobalt Oxide Nanoparticles: Proximal Discrepancy n Intrinsic Atomic Interactions at Differential Vicinage, Green Chemistry, Vol. 23, pp. 3439–3458, (IF: 9.48).

Abstract: This study reconnoiters the in vitro and in vivo nanotoxicity of Co3O4 nanoparticles using human colon cell lines and the embryonic zebrafish model. Green synthesized G-CoONP exhibited higher biocompatibility than commercial C-CoONP with reduced apoptosis and ROS in both human colon cell lines and zebrafish embryos. A proximal discrepancy in intrinsic atomic interaction due to the H-bonding and hydrophobic interaction at the differential in vitro and in vivo vicinage served as a key determinant factor for the cellular biocompatibility of Co3O4 nanoparticles.


2. Butti, R., Nimma, R., Kundu, G., Bulbule, A., Kumar, T. V. S., Gunasekaran, V. P., Tomar, D., Kumar, D., Mane, A., Gill, S. S., Patil, T., Weber, G. F. and Kundu, G. C. (2021), Tumor-Derived Osteopontin Drives the Resident Fibroblast to Myofibroblast Differentiation through Twist1 to Promote Breast Cancer Progression, Oncogene, Vol. 40, No 11, pp. 2002-–2017. doi: 10.1038/s41388-021-01663-2.

Abstract: This study reported the crosstalk between the cancer cells and stromal fibroblasts that leads to tumor progression. It revealed that tumor derived osteopontin (OPN), a chemokine like protein, interacts with CD44 and αvβ3 integrins on the fibroblast surface to activate Akt and ERK signalling leading to differentiation of fibroblasts to cancer-associated fibroblasts (CAFs) via induction of Twist1-dependent gene expression. It further proved that OPN-driven CAFs then secrete CXCL12, which in turn triggers epithelial to mesenchymal transition (EMT) in the tumor cells. These findings suggested that OPN regulated CXCL12 network might act as potential therapeutic target for control of CAF-mediated breast cancer progression.


3. Bandyopadhayaya, S., Akimov, M. G., Verma, R., Sharma, A., Sharma, D., Kundu, G. C., Gretskaya, N. M., Bezuglov, V. V. and Mandal, C. C. (2021), N-Arachidonoyl Dopamine Inhibits Epithelial-Mesenchymal Transition of Breast Cancer Cells through ERK Signaling and Decreasing the Cellular Cholesterol, J Biochem Mol Toxicol, Vol. 35, No. 4, e22693. doi: 10.1002/jbt.22693.

Abstract: N-acyl dopamines (NADAs) are bioactive lipids of the endovanilloid family with known anti-cancer effect. However, the effect of the endovanilloids in epithelial-mesenchymal transition (EMT) and cancer stemness is controversial. This study demonstrated that N-arachidonoyl dopamine (AA-DA), a member of the endovanilloid family inhibits cell migration, EMT and stemness in breast cancer. It further proved that this compound downregulates the expression of cholesterol biosynthesis pathway gene, sterol regulatory element-binding protein 1 (SREBP1) by blocking ERK signalling. Overall, the study revealed that AA-DA counteracts breast cancer EMT via inhibition of ERK signaling and cholesterol content.


4. Bishayee, B.  Ruj, B. Nayak, J.  Chakrabortty S. (2021),  acile synthesis, characterization and application of heterogeneous [email protected] materials for adsorptive mitigation of fluoride: optimization and cost analysis, Environmental Nanotechnology, Monitoring and Management,  pp-100490, https://doi.org/10.1016/j.enmm.2021.100490 (Cite Score: 7.1)

Abstract: The present study reports on the investigation on the facile synthesis of Al-Si based low cost heterogeneous adsorbent from the naturally available laterite soil and clay. The soil-clay mixture was blended at a ratio of 3:1, which was thermochemically activated and was applied for fluoride separation from synthetic groundwater. The developed material was validated through some characterization techniques. Optimization on various operating parameters such as contact time, pH, adsorbent dose, stirring speed and initial fluoride concentration, for fluoride separation were performed in batch operation, which was further optimized with Central Composite Design approach of Response Surface Methodology in Design-Expert software.


KIIT School of Civil Engineering

1. Samal, S. R., Mohanty, M. and Santhakumar, S. M. (2021), Adverse Effect of Congestion on Economy, Health and Environment under Mixed Traffic Scenario, Transportation in Developing Economies, Springer, Vol. 7, No. 15, DOI – 10.1007/s40890-021-00125-4.

Abstract: The present study attempts to predict traffic congestion under heterogeneous traffic conditions and to determine the feasibility of the predicted model under the Indian traffic scenario. The license plate matching method using video graphic survey has been employed for data collection. Congestion indices for each road were evaluated from the recorded data. The study primarily focused on congestion indices and the operational efficiency of the urban road network. The effect of traffic congestion on the economy, environment and health were analysed under mixed traffic condition and possible mitigation measures have been suggested.


2. Banerjee, R., Chattaraj, R., Sengupta, A. and Parulekar, Y. M. (2021), Dynamic Behaviour of a Piled Raft Resting on Saturated Kasai River Sand, Geomechanics and Geoengineering, Taylor & Francis, DOI: 10.1080/17486025.2021.1912403.

Abstract: The research calibrated the cyclic triaxial test and validated the 1-g shake table test of piled raft on saturated Kasai River sand. The study attempted to identify and explain the failure modes of the cyclic triaxial test and to numerically calibrate the experimental data for relative density of 40% and 60%. For calibration, a bounding surface plasticity model is used, whose results are used for validation of 1-g shake table test of piled raft. In addition, the effect of superstructure loading on piled raft is investigated in terms of variation of pore pressure and mechanism for vertical settlement is identified.


KIIT School of Computer Engineering

1. Chatterjee, R., Mazumdar, S., Sherratt, R.S., Halder, R., Maitra, T. and Giri, D. (2021), Real-Time Speech Emotion Analysis for Smart Home Assistants, IEEE Transactions on Consumer Electronics,Vol. 67, No. 1, pp. 68-76, DOI:10.1109/TCE.2021.3056421, (IF: 2.739).

Abstract: This paper presents a 1-D convolutional neural networkto learn and classify emotions associated with human speech. The methodhas been implemented on the standard datasets (emotion classification) Ryerson Audio-Visual Database of Emotional Speech and Song and Toronto Emotional Speech Set database (Young and Old), yielding90.48%, 95.79% and 94.47% classification accuracies. We conclude that the 1-D CNN classification models used in speaker-independent experiments are highly effective to automatically predict emotions and are ideal for deployment in smart home assistants to detect emotions.


2. Jee, G., Harshvardhan, G.M.and Gourisaria, M. K.(2021), Juxtaposing Inference Capabilities of Deep Neural Models over Posteroanterior Chest Radiographs Facilitating COVID-19 Detection, Journal of Interdisciplinary Mathematics,Vol. 24, No. 2, pp. 299-325, DOI – https://doi.org/10.1080/09720502.2020.1838061.

Abstract: Severe Acute Respiratory Syndrome Corona Virus 2 or SARS-CoV-2 (COVID-19) hasaffected 21 million people worldwide and responsible for 0.75 million deaths. The virus has affected almost every countryafter originating in China articulating how contagious the virus is. This paper dealswith detecting and distinguishing the COVID-19 disease from normal patients throughfrontal chest X-ray scans using CNN. Different combinations ofparameters were used to train multiple CNNs and their behavior was noted. After thoroughexperimentation of different models, the best model which achieved an accuracy of 0.98 onthe test set with a loss of 0.036 was nominated.


3. Harshvardhan, G.M., Gourisaria, M. K., RautarayS. S.and Pandey, M. (2021), UBMTR: Unsupervised Boltzmann machine-based time-aware recommendation system,Journal of King Saud University Computer and Information Sciences, In Press – DOI – https://doi.org/10.1016/j..2021.01.017.

Abstract: We implement an unsupervised Boltzmann machine-based time-aware recommendation system (UBMTR)which detects underlying hidden features in user-movie ratings data in connection with the time atwhich each rating was made. The model takes ratings and time as a dual-inputand outputs binary values via the contrastive divergence algorithm which samples from a Monte CarloMarkov Chain. RBMs are adept at pattern completion to tackle missing values,and can deal with imbalanced datasets and unstructured data.Using RBM, the UBMTR outperforms many earlier made attempts made at recommendation systemsdone through CF and deep learning or their hybridized models.


4. Harshvardhan, G.M., Gourisaria, M. K., Rautaray, S.S. and Pandey, M. (2021), Pneumonia Detection Using CNN through Chest X-ray, Journal of Engineering Science and Technology, Vol. 16,  No. 1, pp. 861–876.

Abstract: Pneumonia affects children under 5 years and adults over 65 years of age which targets the lungs and fills the alveoli with liquid. We employ (CNNs) of varying configurations on a machine learning based binary classification task with a given dataset of chest X-rays. This paper primarily focuses on putting forth the performances of different CNN architectures and selecting the best architecture based on optimum corresponding minimum loss and maximum accuracy which can serve as a viable tool for physicians to correctly identify and diagnose viral, bacterial, fungal-caused and community acquired pneumonia given only the chest X-ray of the patient.


5. Routray, M. and Ray, N. K. (2021), Remote Homology Detection using GA and NSGA-II on Physicochemical Properties, International Journal of Computer Applications in Technology, Vol. 64, No. 4, pp. 393-402.

Abstract: Remote homology detection at amino acid level is a complex problem in the area of computational biology. We have used machine learning algorithms to predict the homology of un-annotated protein sequences. This work is divided in three phases. Initially the features are extracted from protein sequences using Principal Component Analysis (PCA). Second stage involves GA for the construction of a set of chromosomes for classification based on PCA and initializes the classifier to build up an error matrix. Third stage uses NSGA-II, crossover and mutation, and tournament selection for the next set of chromosomes.


6. Ratha, A., Mishra, D., Panda, G. and Satapathy, S.C. (2021), Heart disease detection using deep learning methods from imbalanced ECG samples, Biomedical Signal Processing and Control, Vol. 68, 102820, https://doi.org/10.1016/j.bspc.2021.102820, ( IF: 3.137).

Abstract: Early and accurate detection of the Heart disease will help to save many valuable lives. The HD can be detected from medical tests, Electrocardiogram (ECG) signal, heart sounds, Computed Tomography (CT) Images etc. Out of all types of detection of HD from ECG signals plays a vital role. In this paper, the ECG samples of the subjects have been considered as the required inputs to the HD detection model. The Generative Adversarial Network (GAN) model is chosen with an objective to deal with imbalanced data by generating and using additional fake data for detection purpose.


7. Samanta, A., Saha, A., Satapathy, S.C. and Lin, H. (2021),DAE-GAN: An autoencoder based adversarial network for Gaussian denoising, Expert Systems, https://doi.org/10.1111/exsy.12709  ( IF: 1.546).

Abstract: Image denoising is one of the most classic problems in computer vision for restoring corrupted images. It has been approached by using various traditional state of the art architectures in convolutional neural network (CNN), which has demonstrated considerably better results than the prior methods. There has been recent advancements in approaching the problem using generative adversarial networks (GAN), which has shown considerable promise. In this paper, we propose a novel denoising adversarial architecture to generate denoised image samples from a noisy distribution.


8. Dash, T.K., Mishra, S., Panda, G. and Satapathy, S.C. ( 2021), Detection of COVID-19 from speech signal using bio-inspired based cepstral features, Pattern Recognition, Vol. 117, https://doi.org/10.1016/j.patcog.2021.107999, ( IF: 7.196).

Abstract:Speech-based detection for Covid-19 can be one of the safest tools for this purpose as the voice of the suspected can be easily recorded. The Mel Frequency Cepstral Coefficient (MFCC) analysis of speech signal is one of the oldest but potential analysis tools. The performance of this analysis mainly depends on the use of conversion between normal frequency scale to perceptual frequency scale and the frequency range of the filters used.  In the case of detection of COVID-19, mainly the coughing sounds are used whose bandwidth and properties are quite different from the complete speech signal.


9. Zhang, Y-D., Satapathy, S.C., Liu, S. and Li, G-R. ( 2021), A five-layer deep convolutional neural network with stochastic pooling for chest CT-based COVID-19 diagnosis, Machine Vision and Applications, Vol. 32, No. 1, pp. 1-13, ( IF: 1.605).

Abstract: This study proposed a novel deep learning model that can diagnose COVID-19 on chest CT more accurately and swiftly. Based on traditional deep convolutional neural network (DCNN) model, we proposed three improvements: (i) We introduced stochastic pooling to replace average pooling and max pooling; (ii) We combined conv layer with batch normalization layer and obtained the conv block (CB); (iii) We combined dropout layer with fully connected layer and obtained the fully connected block (FCB).  We proved using stochastic pooling yields better performance than average pooling and max pooling.


10. Rout, S., Sahoo, K. S., Patra, S. S., Sahoo, B. and Puthal, D. (2021), Energy Efficiency in Software Defined Networking: A Survey,SN Computer Science, Vol. 2, No. 4, pp. 1-15.

Abstract: Software defined networking has solved many challenging issues in the field of networking industry. It separates the control plane from the data forwarding plane. This makes SDN to be more powerful than traditional networking. However, energy cost enhances the overall network cost. Therefore, this issue needs to be addressed to improve design requirements and boost the networking performance. In this article, several energy efficiency techniques have been discussed.


11. Baliarsingh, S. K., Muhammad, K. and Bakshi, S. (2021), SARA: A memetic algorithm for high-dimensional biomedical data, Applied Soft Computing, Vol.101, pp.107009, DOI: https://doi.org/10.1016/j.asoc.2020.107009, (IF: 5.472).

Abstract: A hybrid algorithm is proposed using simulated annealing (SA) and Rao algorithm (RA) for selecting the optimal gene subset and classifying cancer. SA works as a local search strategy and RA works as a global optimization framework. The reason for combining SA in RA is to improve the exploitation capability of RA. The proposed method consists of two stages. In the first stage, minimum redundancy maximum relevance (mRMR) is employed to select the relevant gene subsets from the microarray dataset. Then, SA is hybridized with RA to improve the quality of solutions after every iteration of RA.


12. Sarangi, P. P., Nayak, D. R., Panda, M. and Majhi, B. (2021), A feature-level fusion improved multimodal biometric recognition system using ear and profile face, Journal of Ambient Intelligence and Humanized Computing, pp. 1 – 32, DOI: 10.1007/s12652-021-02952-0, (IF: 4.594).

Abstract: In this paper, a multimodal biometrics system is proposed based on the ear and profile face that not only alleviates the short-comings of ear biometrics but also improves the overall recognition rate. The kernel discriminative common vector (KDCV) approach is finally exploited over the combined feature set to derive more discriminative and non-linear features for the identification of individuals using kNN classifier. Three popular pre-trained CNN models such as AlexNet, VGG16 and GoogleNet used in this model. Experimental results clearly show that the proposed approach achieves better performance than individual modality and other state-of-the-art methods.


13. Sarangi, P. P., Nayak, D. R., Panda, M. and Majhi, B. (2021), Automatic Ear Localization Using Entropy-Based Binary Jaya Algorithm and Weighted Hausdorff Distance, International Journal of Swarm Intelligence Research (IJSIR), Vol. 12, No. 1, pp. 50 – 76, DOI: 10.4018/IJSIR.2021010104, (IF: 0.92).

Abstract: This paper presents an automatic human ear localization technique based on entropy-based binary Jaya algorithm (EBJA) and weighted doubly modified Hausdorff distance (W-MHD) to use edge information rather than pixels intensity values of the side face image. Authors developed an edge-based weight function to represent the ear shape along with for the edge-based template matching using W-MHD to identify true ear from a set of probable ear candidates. Experimental results using publicly available benchmark datasets demonstrate the competitiveness of the proposed technique in comparison to the state-of-the-art methods.


14. Priyadarshini, R., Barik, R. K., Dubey, H. C. and Mishra, B. K. (2021), A Survey of Fog Computing-Based Healthcare Big Data Analytics and Its Security, International Journal of Ambient Computing and Intelligence, Vol. 12, No. 2, pp. 53-72, DOI: 10.4018/IJACI.2021040104.

Abstract: Fog computingis an emerging distributed computing paradigm that solved theproblems by leveraging local data processing, storage, and machine intelligence within an intermediate fog layer that resides between cloud and wearables devices. This paper focuses on doing survey on two major aspects of deploying fog computing for smart health. Firstly, the role of machine learning-based edge intelligence in fog layer for data processing is investigated. A comprehensive analysis is provided during the survey, highlighting the strength and improvements in the existing literature. The paper ends with some open challenges and future research areas in the domain of fog-based healthcare.


15. Tripathy, S. S., Roy, D. S. and Barik, R. K. (2021), M2FBalancer: A mist-assisted fog computing-based load balancing strategy for smart cities, Journal of Ambient Intelligence and Smart Environments, pp. 1-15, DOI: 10.3233/AIS-210598.

Abstract: In this article, the author implements an optimization strategy applying a dynamic resource allocation method based upon genetic algorithm and reinforcement learning in combination with a load balancing procedure. The proposed model comprises IoT layer, Mist layer, Fog layer, and Cloud layer. Authors have proposed a load balancing technique called M2F balancer which regulates the traffic in the network incessantly, accumulates the information about each server load, transfer the incoming query, and disseminate them among accessible servers equally using dynamic resources allocation method. The proposed method is being compared with the Least count, Round Robin, and Weighted Round Robin.


16. Behera, R. K., Sahoo, A. K. and Jena, A. (2021), A Resourceful Approach in Security Testing to Protect Electronic Payment System Against Unforeseen Attack, In Research Anthology on Artificial Intelligence Applications in Security, pp. 1279-1302, DOI: 10.4018/978-1-7998-7705-9.ch057.

Abstract: This research describes how e-payments as financial transactions made over the Internet for goods or services. A resourceful approach covering security policies, secure coding, security attack prevention methodology, security testing tool, security testing metrics, security test case prioritization techniques and a model for effective project management methodology are presented. Early detection and resolution of security weaknesses can be achieved with the authors’ proposed approach and would certainly reduce the time, effort and cost of a project. The proposed approach is likely the best-fit implementation of the payment industry, covering channels like B2C, C2C, C2B, B2B, P2P, G2C and C2G.


17. Parida, P., Pradhan, C., Gao, X., Roy, D. S. and Barik, R. K. (2021), Image Encryption and Authentication with Elliptic Curve Cryptography and Multidimensional Chaotic Maps, IEEE Access, Vol. 9, pp. 76191– 76204, DOI: 10.1109/ACCESS.2021.3072075, (IF: 3.745).

Abstract: Here, a robust Elliptic curve based image encryption and authentication model for both grayscale and color images has been proposed. The model uses secure Elliptic Curve Diffie-Hellman(ECDH) key exchange to compute a shared session key along with the improved ElGamal encoding scheme. Arnold Cat maps are used to effectively scramble and transform the values of plain image pixels. The model produces cipher images with average entropy of 7.9993 for grayscale and 7.99925 for color images. It has NPCR of 99.6%, UACI of 33.3% and low correlation for images. The model has low computational costs with minimized point multiplication operations.


18. Nandy, N., Banerjee, D. and Pradhan, C. (2021), Color Image Encryption Using DNA Based Cryptography, International Journal of Information Technology, Vol. 13, No. 2, pp. 533-540, DOI: https://doi.org/10.1007/s41870-018-0100-9.

Abstract: Data are vulnerable and need utmost security when they get transferred. In this paper, the images are transferred text files over the unsecured network. We have used an algorithm which uses random key generation and assignment of special codes to most occurring color and encoding range of repeated colors has been incorporated to decrease the text file size and give a layer of security along with this DNA components A, T, G, C decreases the chance of recognizing the data as image.


19. Panda, B., Beria, H. and Pradhan, C. (2021), Deployment of Li-Fi in Indoor Positioning Systems, International Journal of Information Technology, Vol. 13, No. 1, pp. 123-130, DOI: https://doi.org/10.1007/s41870-020-00485-x.

Abstract: Here, our objective is to establish efficient Li-Fi one-way communication and to derive a mathematical formula for finding exact coordinates of the object by utilizing some 3D geometrical concepts. The proposed model is responsible for finding the exact coordinates of the object irrespective of the physical architecture of the indoor area. It uses only 10 bytes of data packet size for accurate positioning in an area that can accommodate more than 1000 transmitters. The accuracy received in indoor positioning using the mathematical formulas is up to 6 cm, which is a benchmark in the field of indoor positioning.

KIIT School of Electrical Engineering

1. Allamsetty, S. and Madhukar, S. (2021), Review of Discharge Plasma Treatment of NOX in Diesel Engine Exhaust: Progress in Stand-Alone and Cascaded Measures, IEEE Transactions on Plasma Science, Vol. 49, No. 5, pp. 1510–1526, DOI: 10.1109/TPS.2021.3074604, (I.F- 1.309).

Abstract: This article is intended to provide a comprehensive review of the experimental studies conducted to understand the effect of different parameters involved in plasma-based nitrogen oxides (NOX) removal from diesel engine exhausts. In the last two decades, much progress has occurred in the electric discharge-based non thermal plasma treatment of exhaust gas. Most of these studies aimed at enhancing the removal of NOX or studying the efficacy of a particular parameter on NOX removal or both. It is now time to collage the findings of these studies to help the present researchers to understand the effect of various measures for NOX removal.


2. Santra, S.B., Acharya, A., Choudhury, T.R., Nayak, B. and Panigrahi, C.K. (2021), A Modified Carrier-Based PWM Technique for Minimization of Leakage Current in Transformer-Less Single-Phase Grid-Tied PV System,Electrical Engineering, Vol.103, No.1, pp.447-461, https://doi.org/10.1007/s00202-020-01092-6, (I.F- 1.180).

Abstract: This paper discusses the impact of leakage current and its dependency on common mode voltage in transformer-less single-phase grid connected photovoltaic system. Also a new carrier-based PWM method is derived for H bridge single-phase grid-tied PV inverter to minimize leakage current. The proposed modulation strategy is compared with conventional techniques through simulation in MATLAB R2018a. The superiority of the proposed technique is validated in laboratory prototype of a 500 W single-phase grid-tied PV system.


3. Santra, S.B., Chatterjee, D., Siwakoti, Y.P. and Blaabjerg, F. (2021), Generalized Switch Current Stress Reduction Technique for Coupled-Inductor-Based Single-Switch High Step-Up Boost Converter, IEEE Journal of Emerging and Selected Topics in Power Electronics, Vol. 9, No. 2, pp. 1863-1875, DOI: 10.1109/JESTPE.2020.2998487, (I.F-4.728).

Abstract: Coupled inductor-based boost converters suffer from high switch current stress in steady state and transient conditions due to less self-inductance value in their winding. In this work, a generalized switch current stress reduction technique is proposed by modifying circuit topology of coupled inductor-based high step-up boost converter. This is achieved by half cycle-resonating branch-utilizing inductance of coupled inductor. The theoretical findings are verified through simulation study in PSIM 9.1.1. A prototype converter of 100W output power is designed to prove the concept and for performance analysis of the proposed converter.


4. Santra, S.B., Chatterjee, D., Kumar, K., Bertoluzzo, M., Sangwongwanich, A. and Blaabjerg, F. (2021), Capacitor Selection Method in PV Interfaced Converter Suitable for Maximum Power Point Tracking, IEEE Journal of Emerging and Selected Topics in Power Electronics, Vol. 9, No. 2, pp. 2136-2146, DOI: 10.1109/JESTPE.2020.2986858, (I.F-4.728).

Abstract: Capacitor is connected primarily between photovoltaic panel and power electronics converter to suppress input voltage ripple and filter ripple current. However, this capacitor creates an error in maximum power point tracking (MPPT) for a fixed step algorithm under rapidly changing environmental condition. Therefore, the capacitor value selection along with maximum sampling rate determination is crucial for achieving error-free MPPT. A comprehensive analysis is carried out to prove the dependency of capacitor value on MPPT performance under irradiation and temperature variation. Finally, the capacitor value and the sampling rate of the photovoltaic interfaced power electronics converter is determined.


5. Santra, S.B., Chatterjee, D. and. Liang, T. -J. P. (2021), High Gain and High Efficiency Bidirectional DC-DC Converter with Current Sharing Characteristics Using Coupled Inductor, IEEE Transactions on Power Electronics, (Early access), DOI: 10.1109/TPEL.2021.3077584, (I.F-6.373).

Abstract: In this paper a new coupled inductor bidirectional converter is designed with low winding turns ratio (n=1). The proposed topology uses two current path inductor structures which improve voltage conversion ratio and share current in all operating modes. The proposed circuit is simulated and performance parameters are verified through hardware results. Both simulation and experimental results performed on a 250W prototype yield a high efficiency of the proposed converter with simple hardware requirement for practical implementation.


6. Roy, T., Tesfay, M. W., Nayak, B. and. Panigrahi, C. K. (2021), A 7-Level Switched Capacitor Multilevel Inverter with Reduced Switches and Voltage Stresses, IEEE Transactions on Circuits and Systems II: Express Briefs, (Early access), DOI: 10.1109/TCSII.2021.3078903,  (IF-2.814).

Abstract: This brief presents a novel switched-capacitor multilevel inverter. The inverter can produce a 7-level output voltage utilizing a DC source, nine switches, two series-connected diodes, and three capacitors. The capacitors are charged from the supply voltage directly by turning on appropriate switching states. The proposed structure realizes all the output voltage levels without an H-bridge circuit at the load-end. The circuit build-up, capacitor charging process, operating principle, voltage stress analysis, and capacitor selection procedure of the proposed inverter is presented in detail. Finally, an extensive experimental study validates the performance and effectiveness of the proposed inverter.

KIIT School of Electronics Engineering

1. Basak, A. and Singh, U. P. (2021), Numerical Modelling and Analysis of Earth Abundant Sb2S3 and Sb2Se3 Based Solar Cells Using SCAPS-1D, Solar Energy Materials and Solar Cells, Vol. 230, 111184, DOI: 10.1016/j.solmat.2021.111184  (IF: 6.984).

Abstract: Antimony chalcogenides are the promising candidates for next generation solar cells due to their non-toxicity, earth abundance, low cost and easy availability.  In this work, Sb2S3 and Sb2Se3 hetero-junction solar cells are modeled and numerically analyzed by the SCAPS (Solar Cell Capacitance Simulator) software. The simulation was carried out in two steps. Results show that optimum  thicknesses  for  Sb2S3  and Sb2Se3  absorber  layers  are  2.5 and 2 μm respectively with buffer layer optimum thickness in the range of 50  to 60 nm. A maximum efficiency of 9.51% and 12.62% is achieved after optimizing different parameters for the Sb2S3 and Sb2Se3 solar cells respectively.  


2. Behera, S. B., Barad, D. and Behera, S. (2021), Back-Lobe Mitigation of a Compact DGS Microstrip Patch Antenna Using an Artificial Magnetic Conductor Surface, International Journal of RF and Microwave Computer-Aided Engineering, e22727 DOI: 10.1002/mmce.22727 (IF: 1.528)

Abstract: This work focuses on a novel artificial magnetic conductor (AMC) surface backed microstrip antenna of very small dimensions for improving the antenna performances. The microstrip antenna which is considered here for performance improvement has a defected ground plane; thus, it gives rise to undesired back-lobe radiation. Thanks to the in-phase reflection characteristics of the AMC surface, gain improvement of more than 3 dBi has been achieved with a front-to-back lobe ratio improvement of 12 dB. This structure resonates at C-band with an impedance bandwidth improvement of 13%.  To prove the concept, a physical prototype of the proposed antenna structure has been fabricated and the return loss, radiation pattern, and gain have been verified.

KIIT School of Electronics Engineering

Priyadarshini, S. and Swain, S. C. (2021), Queers in Quarantines: Impact of Lockdown and Social Distancing on Psychology of Transgender, Journal of The Institution of Engineers (India): Series B, DOI: 10.1007/s40031-021-00586-6. 

Abstract: The unexpected emergence of a novel and dangerous virus widely known as coronavirus (COVID-19) has brought in global health crisis and has socioeconomically disrupted the lives of transgender people to a significant extent. This study has analyzed the association of social distancing and lockdown constraints to psychological outcomes (i.e., depression, anxiety issues, financial stress, lack of social support, and loneliness) among transgender people amid COVID-19. Findings revealed that there is a positive association between any two of the variables and the degree of association is quite reasonable. Further, the results of Regression analysis highlight the negative impact of social distancing and lockdown constraints on psychology of transgender individuals.

Keywords: Psychology of Transgender, Quarantine, Social Distance, Lockdown, COVID-19

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