Research & Development – KIIT University News & Events https://news.kiit.ac.in KIIT Deemed to be University News Thu, 16 Sep 2021 13:46:22 +0000 en-GB hourly 1 https://wordpress.org/?v=5.6.5 https://news.kiit.ac.in/wp-content/uploads/2017/08/cropped-download-32x32.png Research & Development – KIIT University News & Events https://news.kiit.ac.in 32 32 PhD Awardees in the 17th Annual Convocation 2021 https://news.kiit.ac.in/research-development/phd-awardees-in-the-17th-annual-convocation-2021/ https://news.kiit.ac.in/research-development/phd-awardees-in-the-17th-annual-convocation-2021/#respond Wed, 15 Sep 2021 13:11:51 +0000 https://news.kiit.ac.in/?p=33517 KIIT PhD Awardee 2021

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KIIT PhD Awardee 2021

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School of Mechanical Engineering (August 2021) https://news.kiit.ac.in/research-development/school-of-mechanical-engineering-august-2021/ https://news.kiit.ac.in/research-development/school-of-mechanical-engineering-august-2021/#respond Wed, 08 Sep 2021 14:10:18 +0000 https://news.kiit.ac.in/?p=33337 School of Mechanical Engineering

Journal Papers 1. Chauhan, H., Satapathy S. and Sahoo A. K. (2021), A QFD Approach Based on Fuzzy TOPSIS to Reduce the Mental Stress of Farmers: A Case Study of Odisha, International Journal of Service Science, Management, Engineering, and Technology, Vol. 12, No. 5, p. 19, DOI: 10.4018/ijssmet.2021090110. Abstract: On large uses of mechanization technology, more uses […]

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School of Mechanical Engineering

Journal Papers

1. Chauhan, H., Satapathy S. and Sahoo A. K. (2021), A QFD Approach Based on Fuzzy TOPSIS to Reduce the Mental Stress of Farmers: A Case Study of Odisha, International Journal of Service Science, Management, Engineering, and Technology, Vol. 12, No. 5, p. 19, DOI: 10.4018/ijssmet.2021090110.

Abstract:

On large uses of mechanization technology, more uses of organic production, there is a decrease in price of agricultural product, and new complex legislation has made the life of farmers more stressful. In this study, based on in-depth review of literature and analysis of works based on the mental work pressure and stresses over framers, the risk associated with the Indian agricultural sectors were recognized by the use of fuzzy TOPSIS method. All the identified risk-factors were ranked based on their preferences. Then, the QFD technique was used to suggest the design parameters so as to minimize the work stress on farmers.


2. Kumar, R., Pandey, A., Panda, A. and Sahoo, A.K. (2021), Analysis of Wiper Tool Failure and Surface Roughness in Turning of Bio-compatible Ti-6Al-4V ELI Alloy,Journal of Failure Analysis and Prevention, DOI: 10.1007/s11668-021-01194-8.

Abstract:

The current work selected the wiper geometry tool for machining Ti-6Al4V ELI alloys. Further, the crucial responses like flank wear (VBc), surface roughness (Ra), workpiece temperature (Tw), and material removal rate (MRR) are analyzed. Ra is found to be under control as the maximum value lies within 1 µm, but simultaneously flank wear and workpiece temperature are relatively larger in magnitude. Additionally, a novel modeling technique, namely multiple adaptive neuro-fuzzy inference system (MANFIS), is implemented to predict the responses and found to be very accurate and effective as root mean square error for model VBc, Ra, Tw, and MRR is found to be 0.64%, 0.15%, 0.54%, and 2.47%, respectively.


3. Pradhan, S., Das, S. R., Nanda, B. K., Jena, P. C. and Dhupal, D. (2021), Machining of Hardstone Quartz with Modified Ajm Process Using Hot SiC Abrasives: Analysis, Modeling, Optimization, and Cost Analysis,Surface Review and Letters, Vol. 28, No. 2, pp.1–21.

Abstract:

In this paper, an attempt has been made to combine hot abrasives and compressed air to form a hot abrasive air jet. This study aims to analyze the cutting performance in hot-abrasive jet machining (HAJM) of hardstone quartz concerning surface roughness, taper angle (TA), and material removal rate (MRR). Combined approach of Box–Behnken design — analysis of variance, response surface methodology, and statistical technique (here desirability function approach), followed by computational approach (here genetic algorithm), is, respectively, employed for experimental investigation, predictive modeling, and multi-response optimization.Result shows that the most significant parameter is abrasive temperature for surface roughness, whereas it is pressure in case of both TA and MRR. Applications of hot abrasives in AJM process have shown attention in enhancing the cutting performance for material removal.


4. Ranjan, R., Surekha, B. and Ghose, P. (2021), Effect of Cooling Slope Process Parameters on Non-dendritic Feedstock Production: A Comprehensive Review, Journal of The Institution of Engineers (India): Series C, Vol. 102, pp.821–842, DOI:  10.1007/s40032-021-00693-9.

Abstract:

In the present paper, the authors have made an attempt to present a review on the formation of non-dendrite particles through cooling slope (CS) technique and reported the effect of various process parameters in particular, cooling slope length, degree of superheat of metal, height and diameter of the nozzle, CS plate material, mold material and its temperature, coolant type, coolant temperature and flow rate on the microstructure of the fabricated alloy system.


5. Pati, P. R. and Satpathy, M. P. (2021), Effect of Process Parameters on Sliding Wear Performance of Red Brick Dust-Filled Glass–Epoxy Composites, Proceedings of the Institution of Mechanical Engineers, Part J: Journal of Engineering Tribology, 13506501211010553.

Abstract:

This research is focused on the study of the tribological properties of epoxy composites reinforced with red brick dust and glass fiber. Wear tests are conducted on a pin-on-disk apparatus. The wear rate and coefficient of friction are measured after tribological tests. The relative effect of process parameters such as sliding velocity, normal load, filler content on specific wear rate, and coefficient of friction is also examined using the Taguchi model and analysis of variance technique.


6. Mandal, P., Kiran, N. U., Chanda, U. K., Pati, S. and Roy, S. (2021), Corrosion Performance of Graphene Oxide Coated 304 SS in PEMFC Environment,SN Applied Sciences, Vol. 3, No. 7, pp.1–9, DOI:  10.1007/s42452-021-04710-5.

Abstract:

In this work, an electrophoretic deposition technique was used to deposit graphene oxide (GO) on 304 stainless steel. Its corrosion performance was evaluated in a simulated polymer electrolyte membrane fuel cell environment. The corrosion current density (icorr) and interfacial contact resistance (ICR) were measured at 8.9 µA/cm2 and 19.3 mΩ cm2, respectively. The icorr of GO coated 304SS is several orders lower than bare SS 304. Similarly, the ICR of GO coated 304SS is nearly half of bare 304SS at a compaction pressure of 150 N/cm2. The potentio dynamic polarization plot indicates the prevalence of multiple corrosion mechanisms. A prolonged corrosion study for 30 days immersed in the simulated PEM cell environment shows the formation of rounded pits that corroborate the activity of pitting corrosion.


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School of Humanities (August 2021) https://news.kiit.ac.in/research-development/school-of-humanities-august-2021/ https://news.kiit.ac.in/research-development/school-of-humanities-august-2021/#respond Wed, 08 Sep 2021 14:04:33 +0000 https://news.kiit.ac.in/?p=33334 School of Humanities

Journal Papers Palit, S. and Mukherjee, Y. (2021), Exploring the Impact of Mental Health on Human Capital: An Analysis in Human Resource Management and Mental Health—A Psychosocial Aspect, Poddar, S., Kar, B., Samanta, S., and Bhaumik, A. (Eds), Lincoln Research and Publishing Limited, Australia (LRPL), ISBN: 978-0-6488798-3-1, doi:10.46977/book.2021.hrmmh, pp. 72–87. Abstract: The relevance of mental […]

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School of Humanities

Journal Papers

Palit, S. and Mukherjee, Y. (2021), Exploring the Impact of Mental Health on Human Capital: An Analysis in Human Resource Management and Mental Health—A Psychosocial Aspect, Poddar, S., Kar, B., Samanta, S., and Bhaumik, A. (Eds), Lincoln Research and Publishing Limited, Australia (LRPL), ISBN: 978-0-6488798-3-1, doi:10.46977/book.2021.hrmmh, pp. 72–87.

Abstract: The relevance of mental health issues cannot be underrated as it has inundated all sectors and afflicted individuals from all sections of the society irrespective of differences in caste, creed, gender, economic status and social background. However, statistical analysis and close monitoring of multifarious trends only testify that mental health issues are on the rise. The Covid-19 pandemic. which has struck the world, has among other things deteriorated the mental health condition worldwide, with India being no exception but rather in a worsened situation. Focussed National Mental Health Policies are urgently required with orientation at providing spatial, cultural, and financial accessibility to the seekers.

Keywords: Disability adjusted life years, Health Mental Disorder, Psychiatrist, Mind

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School of Electronics Engineering (August 2021) https://news.kiit.ac.in/research-development/school-of-electronics-engineering-august-2021/ https://news.kiit.ac.in/research-development/school-of-electronics-engineering-august-2021/#respond Wed, 08 Sep 2021 14:01:22 +0000 https://news.kiit.ac.in/?p=33331 School of Electronics Engineering

Journal Papers 1. Mohanty S., Rashid M. H. A., Mohanty C., Swayamsiddha S. (2021), Modern computational intelligence based drug repurposing for diabetes epidemic, Diabetes & Metabolic Syndrome: Clinical Research & Reviews, Elsevier, Vol. 15, No. 4, pp.102180, DOI: https://doi.org/10.1016/j.dsx.2021.06.017 Abstract: Objectives are to explore recent advances in discovery of new anti-diabetic agents using repurposing strategies and […]

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School of Electronics Engineering

Journal Papers

1. Mohanty S., Rashid M. H. A., Mohanty C., Swayamsiddha S. (2021), Modern computational intelligence based drug repurposing for diabetes epidemic, Diabetes & Metabolic Syndrome: Clinical Research & Reviews, Elsevier, Vol. 15, No. 4, pp.102180, DOI: https://doi.org/10.1016/j.dsx.2021.06.017

Abstract: Objectives are to explore recent advances in discovery of new anti-diabetic agents using repurposing strategies and to discuss modern technologies used for drug repurposing highlighting diabetic specific web portal. Drugs like Niclosamideethanolamine, Methazolamide, Diacerein, Berberine, Clobetasol, etc. with possibility of repurposing to curb diabetes can be potential late-stage clinical candidates, providing access to information on pharmacology, formulation, and probable toxicity if any. With collaboration of artificial intelligence (AI) with pharmacology, the efficiency of drug repurposing can improve significantly.


2. Chakraborty A., Shah S. C., Kumar Y. S., Samant T., Swayamsiddha S.(2021), Smart Parking System based on the IR sensor and Node MCU with the Blynk application, International Journal of Sensors, Wireless Communications and Control, Vol. 11, No. 4 , pp. DOI: 10.2174/2210327910999200611153351

Abstract: This paper presents the prototype of a Smart Parking System based on the IR sensor and Node MCU which is connected to the Blynk app that monitors the whole parking lot. It provides an optimized parking solution for various places available with parking facilities throughout the city. The proposed Smart parking system enables the guard in-charge to obtain necessary information on the availability of parking space and keep a track of the effective number of vehicles that have entered the arena via a suitable app. The proposed technique performs better compared to existing state-of-art methodologies as it is cost-effective and easy to implement.


3. Oliver F., Joel E. W. K., Jahmunah, V., Sabut, S., Ciaccio, E. J., Majid, A., A. Ali, Gregory Y. H., Lip, Acharya, U R. (2021), Fusion of higher order spectra and texture extraction methods for automated stroke severity classification with MRI images. : International Journal of Environmental Research and Public Health, Vol. 18, No. 15, 8059, https://doi.org/10.3390/ijerph18158059

Abstract: This paper presents a scientific foundation for automated stroke severity classification. We have constructed and assessed a system which extracts diagnostically relevant information from Magnetic Resonance Imaging (MRI) images. The design was based on 267 images that show the brain from individual subjects after stroke. They were labeled as either Lacunar Syndrome (LACS), Partial Anterior Circulation Syndrome (PACS), or Total Anterior Circulation Stroke (TACS). The processing system was tasked with extracting texture information that could be used to classify a brain MRI image.. The resulting features were ranked based on the p-value extracted with the Analysis Of Variance (ANOVA) algorithm. The ranked features were used to train and test four types of Support Vector Machine (SVM) classification algorithms according to the rules of 10-fold cross-validation The results indicate that computer aided stroke severity diagnosis support is possible.


Book Chapters

Swayamsiddha S., Mukherjee D., Ramavath S. (2021) Home Automation Using ESP8266 of IOT Module inAdvances in Intelligent Systems and Computing,Hassanien A.E., Bhattacharyya S., Chakrabati S., Bhattacharya A., Dutta S. (eds) Emerging Technologies in Data Mining and Information Security, vol 1286. Springer, Singapore. pp. 409-417 https://doi.org/10.1007/978-981-15-9927-9_40.

Abstract: In this paper, automating the household electronics through an IoT module, ESP 8266, is proposed. The technology stack is based on the principle of IoT. IoT is something which deals with some millions of smart and intelligent objects which are connected to communicate and respond with human commands using mobile, wireless, and sensor technologies. In this work, the electronic appliances are connected with the Google Assistant. Thus, Google Assistant can be asked to turn off the fan or light or any other appliance at home or at workplace.

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School of Electrical Engineering (August 2021) https://news.kiit.ac.in/research-development/school-of-electrical-engineering-august-2021/ https://news.kiit.ac.in/research-development/school-of-electrical-engineering-august-2021/#respond Wed, 08 Sep 2021 13:57:24 +0000 https://news.kiit.ac.in/?p=33328 School of Electrical Engineering

National/International Awards Name of the Faculty: Dr. Lipika NandaTitle of the Award: Young Researcher Award 2020Award Given by: Institute of Scholars, Bangalore, Karnataka About the Award Dr. Lipika Nanda received Young Researcher Award for publication of paper entitled as “A Comparative Analysis of Symmetrical and Asymmetrical Multilevel Inverter with Reduced Number of DC Sources and […]

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School of Electrical Engineering

National/International Awards

Name of the Faculty: Dr. Lipika Nanda
Title of the Award: Young Researcher Award 2020
Award Given by: Institute of Scholars, Bangalore, Karnataka

About the Award

Dr. Lipika Nanda - KIIT

Dr. Lipika Nanda received Young Researcher Award for publication of paper entitled as “A Comparative Analysis of Symmetrical and Asymmetrical Multilevel Inverter with Reduced Number of DC Sources and Switches” in International Journal of Power Electronics and Drives. She was also recognized as a professional member of Institute of Scholars and a reviewer for the Journal of Institute of Scholars, i. e. International journal of Electronics, Electrical and Communication Engineering.


Journal Papers

1. Samal, S., Barik, P. K., and Hota, P. K. (2021), Harmonics Mitigation of a Solar PV-Fuel Cell Based Microgrid System Using a Shunt Active Power Filter, ECTI Transactions on Electrical Engineering, Electronics, and Communications, Vol.19, No.2,  pp. 127–135. https://doi.org/10.37936/ecti-eec.2021192.222556.

Abstract

A Microgrid (MG) includes distributed generation, loads, energy storage, and a control system capable of operating in grid-connected mode and/or island mode. Moreover, harmonic distortion in MG networks has significantly reduced Power Quality (PQ), affecting the stability of the system. Hence, in this paper, the impact of PQ issues in an adopted standalone MG system is investigated in the presence of shunt active power filter (SAPF). The SAPF is realized using a conventional synchronous reference frame technique for current generation with a pulse-width modulation voltage source inverter technique to generate pulses for the inverter along with a PI controller to regulate the DC-link capacitor voltage.


2. Mohapatra, A., Nayak, B. and Mohanty, K.B., (2021), Analytical Approach to Locate Multiple Power Peaks of Photovoltaic Array under Partial Shading Condition and Hybrid Array Configuration Schemes to Reduce Mismatch Losses, Energy Sources, Part A: Recovery, Utilization, and Environmental Effects, pp.1–22.  DOI: 10.1080/15567036.2021.1945710.

Abstract

The effect of Partial shading on PV array performance is analyzed through experimental results and MATLAB simulation. The effect of PS on PV characteristics is investigated in two conditions. In condition one, modules are not coupled with bypass diodes, and in condition two modules are equipped with bypass diodes. Two hybrid array configurations such as TCT with bridge link (TCT+BL) and TCT with honey-comb (TCT+HC) are proposed here. Performances of different array configurations are analyzed. It is observed that proposed array configurations outshine in performance by reducing the amount of ML and the number of local peaks in the P-V graph.


Conference Papers

1. Das, M.C., Dash, R., Swain, S.C and Subburaj, V. (2021),Performance Enhancement of PI-Controller Using SVM for DFIG-Grid Interconnected System, 2nd International Conference for Emerging Technology (INCET), Belagavi, India, pages 1–6, 10.1109/INCET51464.2021.9456262.

Abstract

The advantages of reactive power compensation can be insured by properly placing the STATCOM in a wind integrated power system. The modern power system is highly scattered and STATCOM is a shunt compensator, and it is used in large transmission lines for providing power quality compensation. Optimal placement of FACTS devices can be achieved by applying a stochastic algorithm which is a very diverse and continuous operation to the algorithm is going on. In this research work, multiple optimal solutions had been performed with a multi-objective problem to provide some flexibility for making a perfect decision about the placement of STATCOM.


2. Sahu, S., Swain, S., Choudhury, K. V.V.S , Samal, S., Pradhan, A. and Prusty, S. (2021), A Dynamic power management system for PV- Wind based DC Microgrid, 2nd International Conference for Emerging Technology (INCET), Belagavi, India, pp. 1–6,10.1109/INCET51464.2021.9456427

Abstract

This paper represents a dynamic power management system for a PV and Wind based hybrid microgrid using battery energy storage system and supercapacitor. The normal load variations are supported by battery energy storage while sudden changes in load or transient loads are supported by using supercapacitor bank. The dc microgrid is simulated under variable load and solar insolation. It was observed that power management system is efficient to keep dc bus voltage constant in all situations. The sudden changes in DC bus voltage due to transient loads have been effectively nullified by using supercapacitor.


3. Nanda, L., Mohapatra, S., Pradhan, A. and Prusty, S.R. (2021), Hybridized Symmetrical Multilevel Inverter Topology with Reduced Number of Switches and DC Sources, International Conference on Artificial Intelligence and Smart Systems (ICAIS), Coimbatore, India, pp. 1–6,https://doi.org/10.1109/ICAIS50930.2021.9395940.

Abstract

Research in several new topologies of Multilevel inverter (MLI) has been carried out rapidly day by day. Recently several topologies have been introduced achieving higher levels with reduced device counts and DC sources. In this paper a new hybrid symmetric MLI is proposed. This topology has reduced number of controlled switches, DC sources and numbers of capacitors which are very less compared to all the conventional topologies existed before. It reduces cost, size, complexity and hence enhances inverter efficiency.


4.  Acharya, A., Nanda, L., Roy, T. and Misra, B. (2021),Boost Converter with Generalized Quadratic Boosting Cell with Reduced Capacitor Voltage Stresses,Lecture Notes in Electrical Engineering, Springer, India, https://doi.org/10.1007/978-981-15-7511-2_8.

Abstract

In this paper, a boost converter with generalized structure of quadratic boosting cell (n = 3) is proposed. The proposed structure can produce high magnitude output DC voltage from a low magnitude DC voltage by adjusting the number of quadratic cells in the generalized quadratic cell structure. As compared to cascaded boost converter, the proposed structure sustains lower capacitor voltages at same voltage gain. This feature reduces the capacitor voltage ratings as well as cost of the capacitors utilized in proposed structure as compared to cascaded boost converter. Further on comparison with the existing topologies, the proposed structure generates high voltage gain at a low duty ratio


Book Chapters

1. Debdas, S., Panigrahi, C.K., Kundu, S., Kundu P., Jha, R. (2021), IoT Applications in Interconnected Hospitals, in Machine Learning for Healthcare Applications,Mohanty, S.N., Nalinipriya, G., Jena, O.P., Sarkar, A. (Eds.),Wily, Scrivener Publishing LLC, pp. 393–408, Chapter 15,

https://onlinelibrary.wiley.com/doi/pdf/10.1002/9781119792611.ch15.

Abstract

Health for All aims at providing equal access to healthcare system specifically in underdeveloped and remote parts of a country. However, it comes with diversified challenges of accessibility, availability, and affordability. This is where the IoT comes to the rescue. Keeping the system as the backdrop, a framework to associate smart device in automatic health centres established by using Narrowband IoT and implement edge computing technology to be able to meet the requisite of dormancy in pharmaceutical proceedings can be brought to work.


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School of Computer Engineering (August 2021) https://news.kiit.ac.in/research-development/school-of-computer-engineering-august-2021/ https://news.kiit.ac.in/research-development/school-of-computer-engineering-august-2021/#respond Wed, 08 Sep 2021 13:26:22 +0000 https://news.kiit.ac.in/?p=33323 School of Computer Engineering

Journal Papers 1. Mukherjee, P., Barik, L. B., Pradhan, C., Patra, S. S. and Barik, R. K. (2021), hQChain: Leveraging Towards Blockchain and Queueing Model for Secure Smart Connected Health, International Journal of E-Health and Medical Communications, Vol. 12, No. 6, pp. 1–20, DOI: 10.4018/IJEHMC.20211101.oa3. Abstract: Smart healthcare can be exemplified as utilizing propitious electronic […]

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School of Computer Engineering

Journal Papers

1. Mukherjee, P., Barik, L. B., Pradhan, C., Patra, S. S. and Barik, R. K. (2021), hQChain: Leveraging Towards Blockchain and Queueing Model for Secure Smart Connected Health, International Journal of E-Health and Medical Communications, Vol. 12, No. 6, pp. 1–20, DOI: 10.4018/IJEHMC.20211101.oa3.

Abstract:

Smart healthcare can be exemplified as utilizing propitious electronic technology safeguarded with blockchain for superior diagnosis of the disorders, improvised and cost-effective treatment of the patients, and enhanced quality of life. Since blockchain in smart healthcare architecture hosts a substantial amount of patient data, queueing models play a pivotal role to efficiently process the data. This paper highlights the concepts of blockchain, then delves into the smart healthcare architecture and then deals with the several queueing models that already exist. It proposes the model i.e. hQChain which is inculcating M1,b/Mb/1 queueing model into blockchain-based smart healthcare architecture.


2. Ray, N.K., Puthal, D. and Ghai, D. (2021), Federated Learning, IEEE Consumer Electronics Magazine, DOI: 10.1109/MCE.2021.3094778.

Abstract:

Now we are in an era of technology transformation in our everyday life, where data plays a key role in decision making and bringing the action into reality. These data are collected from many distributed sources. Federated learning (FL) is the term coined by Google. It facilitated the distributed learning process and shared the results to the outcomes to the central entity instead of conducting the complete learning process at the centre. In the traditional machine learning approach, data are brought to the model, whereas FL brings ML techniques to the data used at end devices.


3. Das, S., Bose, S., Nayak, G. K., Satapathy, S. C. and Saxena, S. (2021), Brain Tumor Segmentation and Overall Survival Period Prediction in Glioblastoma Multiforme Using Radiomic Features, Concurrency ComputatPractExper., e6501. DOI: https://doi.org/10.1002/cpe.6501 (IF:1.536).

Abstract:

Glioblastoma multiforme (GBM) is a fast-growing glioma that is commonly spreading into nearby brain tissue. Prediction of patient overall survival (OS) time helps the radiologist for better systematic treatment planning and clinical decision making. In this study, the OS classification was performed using ML algorithms by taking radiomic features. The experiment was performed on the well-known data set BraTs 2017 and achieves a classification AUC value of 63% for 3-class and 2-class groups using the different classifiers. Finally, the method achieves the AUC score of 0.66 using Fusedfeature+SVM+GA (3-class) and 0.70 using Fused feature+SVM+PSO ((2-class) which outperforms the state-of-the-art.


4. Das, S., Swain, M. K., Nayak, G. K., Saxena, S. and Satapathy, S. C. (2021), Effect of Learning Parameters on the Performance of U-Net Model in Segmentation of Brain Tumor, Multimedia Tools and Applications (IF: 2.757).

Abstract:

Glioma is one type of fast-growing brain tumor in which the shape, size and location of the tumor vary from patient to patient. The U-Net model is the most popular and extensively used deep learning model for biomedical image segmentation. This study shows the effect of different learning parameters on the performance of the deep UNet model for brain tumor segmentation. The authors have compared the performance by tuning the different learning parameters and measured the accuracy in terms of AUC and F1score. The experiment was performed on two well-known data sets, BraTs 2017 and BraTs 2018.


Book Chapters

1. Chandak, A.V. and Ray, N. K. (2021), FTLB: An Algorithm for Fault Tolerant Load Balancing in Fog Computing, IoTApplications, Security Threats, and Counter measures, Nayak, P., Ray, N. and Ravichandran, P. (Eds.), CRC Press, Boca Raton, pp. 65–85.

Abstract

Today, there is the worldwide adoption of smart services, and smart services are being implemented through Internet of Things (IoT) devices. The number of IoT devices is continuously generating data. This generated data has been passed to the cloud computing layer for processing, but it is very tedious to forward this generated data to the cloud layer for processing due to limited bandwidth and communication latency. Various algorithms, such as random, round robin, weighted round robin, least connection and weighted least connection, can be used for load balancing.


2. Nanda, S. K., Suresh, A., Soman, Q., Tripathy, D. P. and Ray, N. (2021), Development of Intelligent Internet of Things (IoT)-based System for Smart Agriculture, In IoT Applications, Security Threats, and Countermeasures, Nayak, P., Ray, N. and Ravichandran, P. (Eds.), CRC Press, Boca Raton, pp. 143–162.

Abstract

The Internet of Things (IoT) is now helping all the mankind in many areas like health care, agriculture, smart home, smart city, education, entertainment industries, manufacture, mining, construction, defence, and so on. With advanced AI algorithm and advanced sensor management tools, IoT-based embedded system is now helping all in everyday activities. Modern IoT system now integrates with cloud server and storage system and with high-speed Internet protocol, IoT system enables remote monitoring and very robust management of appliances and systems. Quick development in sensor management, equipment and computing devices helps IoT-based public transportation system to enrich in public safety,


3. Pradhan, A.K., Rout, J.K. and Ray, N.K. (2021), Exploring and Presenting Security Measures in Big Data Paradigm, Privacy and Security Issues in Big Data: An Analytical View on Business Intelligence, Das, P.K., Tripathy, H. K., Md.Yusof, S.A. (Eds.), Springer, pp. 51–68. https://doi.org/10.1007/978-981-16-1007-3_4.

Abstract

Big Data is a field that provides different ways to analyze and to extract information and hidden patterns. It also helps to deal with the data sets which are complex. In many cases, data offers greater statistical power while the data with higher complexity leads to a higher false discovery rate. At the current time due to the key concepts like volume, variety, and velocity which are associated with Big Data, privacy and security are the biggest challenges in this field. we have discussed different types of issues and solutions related to security and privacy in Big Data.


Books

Nayak, P., Ray, N. and Ravichandran, P. (2021),IoT Applications, Security Threats, and Countermeasures, CRC Press, 277 pages, ISBN 9780367491857.

Abstract

The book explores modern sensor technologies while also discussing security issues, which is the dominant factor for many types of IoT applications. It also covers recent (IoT) applications such as the Markovian Arrival Process, fog computing, real-time solar energy monitoring, healthcare, and agriculture. Fundamental concepts of gathering, processing, and analyzing different Artificial Intelligence (AI) models in IoT applications are covered along with recent detection mechanisms for different types of attacks for effective network communication. On par with the standards laid out by international organizations in related fields, book focuses on both core concepts of IoT along with major application areas.


Patents

1. Radhey Shyam Meena, Dr. Nisheeth Joshi, Dr. I. Sharath Chandra, Dr. Ravi Kumar, Mr. Abhaya Kumar Sahoo, Dr. Chittaranjan Pradhan, Yazusha Sharma, Tarun Jaiswal, Prof. Biju Balakrishnan, Dr. Md. KhajaMohiddin, Dr. Anirban Das, Dr. S. Balamurugan, Dr. Pavithra G, Dr. T. C. Manjunath, Patent Name: Sensor Based Artificial Nervous System To Assist Paralyzed People (Indian patent), Patent No: 202111029975.

Abstract:

The Sensor-Based Artificial Nervous System to assist Paralyzed People (SANS) helps the paralyzed people to make use of the SANS by wearing the artificial bypass synapse (ABS) to join two disconnected biological neurons of the human body parts automatically. The user needs to wear the ABS in between the two disconnected biological neurons. The pre-synaptic cells have been used to transfer the brain signals from the brain to ABS, and the postsynaptic cell is transferring the signals from ABS to muscle. The photodiode, transistor, and artificial neuron circuit are the internal part of the ABS which connects the disconnected neurons.


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School of Biotechnology (August 2021) https://news.kiit.ac.in/research-development/school-of-biotechnology-august-2021/ https://news.kiit.ac.in/research-development/school-of-biotechnology-august-2021/#respond Wed, 08 Sep 2021 13:20:26 +0000 https://news.kiit.ac.in/?p=33320 KIIT School Of Biotechnology

Journal Papers 1. Sethy, C., Goutam, K., Das, B., Dash, S. R. and Kundu, C. N. (2021), Nectin-4 Promotes Lymphangiogenesis and Lymphatic Metastasis in Breast Cancer by Regulating CXCR4-LYVE-1 Axis, Vascular Pharmacology, No. 106865,DOI: 10.1016/j.vph.2021.106865(IF 5.773). Abstract: The role of Nectin-4 in lymphangiogenesis is unknown. Here, we systematically delineated the role of Nectin-4 in lymphangiogenesis and its […]

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KIIT School Of Biotechnology

Journal Papers

1. Sethy, C., Goutam, K., Das, B., Dash, S. R. and Kundu, C. N. (2021), Nectin-4 Promotes Lymphangiogenesis and Lymphatic Metastasis in Breast Cancer by Regulating CXCR4-LYVE-1 Axis, Vascular Pharmacology, No. 106865,DOI: 10.1016/j.vph.2021.106865(IF 5.773).

Abstract: The role of Nectin-4 in lymphangiogenesis is unknown. Here, we systematically delineated the role of Nectin-4 in lymphangiogenesis and its regulation in invasive duct carcinoma (IDC). Nectin-4 expression positively correlated with CXCR4 expression, and LYVE-1-lymphatic vessel density (LVD). LVD was significantly higher in axillary lymph node (ALN) than primary tumor. Nectin-4 stimulated the expressions of CXCR4 and CXCL12 under hypoxic conditions in ALN derived primary cells. Further, Nectin-4 augmented expressions of lymphatic metastatic markers (e.g. eNOS, TGF-β, CD-105) and MMPs. Thus, Nectin-4 displayed a predominant role in promoting tumor-induced lymphangiogenesis and lymphatic metastasis by modulating CXCR4/CXCL12-LYVE-1- axis.


2. Molla, S., Chatterjee, S., Sethy, C., Sinha, S. and Kundu, C. N. (2021), OlaparibEnhances Curcumin-Mediated Apoptosis in Oral Cancer Cells by Inducing PARP Trapping through Modulation of BER and Chromatin Assembly, DNA Repair, No. 103157, DOI: 10.1016/j.dnarep.2021.103157(IF 4.913).

Abstract: To study the detailed mechanism of anti-cancer action through PARP trapping, we have treated oral cancer cells with curcumin (Cur), olaparib (Ola) and their combination (Cur+Ola). Cur+Ola treatment triggered the expressions of PARP-1 and APC and down regulated other base excision repair (BER) proteins in the chromatin fraction but not in the nuclear fraction. Interestingly, complete abolishment ALC1 decreased expression of Histone H3 and P300 was noted in chromatin of Cur + Ola treated cells. Thus, the present study reveals that Cur+Ola treatment increased oral cancer cell death predominantly through PARP-1 trapping and indirect inhibition of chromatin remodelling.


3. Sisodiya, S., Paul, S., Chaudhary, H., Grewal, P., Kumar, G., Daniel, D. P., Das, B., Nayak, D., Guchhait, S. K., Kundu, C. N. and Banerjee, U. C. (2021), Exploration of Benzo [B] Carbazole-6, 11-Diones as Anticancer Agents: Synthesis and Studies of Htopoiiα Inhibition and Apoptotic Effects, Bioorganic & Medicinal Chemistry Letters, No. 128274, DOI: 10.1016/j.bmcl.2021.128274(IF 2.823).

Abstract: Two series of (hetero)arylamino-naphthoquinones and benzo-fused carbazolequinones were considered for study with the rationale that related structural motifs are present in numerous drugs, clinical trial agents, natural products and hTopoIIα inhibitors. Total 42 compounds were synthesized by reactions including dehydrogenative C-N and Pd-catalyzed C-C bond forming transformations. These compounds were screened against numerous cancer cells and normal cells. Some of the active compounds were evaluated for cell survival and apoptotic effects in cancer. All compounds were tested for hTopoIIα inhibitory activity. The investigated series compounds showed anti-cancer efficacy and relatively less cytotoxicity to normal cells.


4. Sinha, S. and Kundu, C. N. (2021), Cancer and COVID-19: Why Are Cancer Patients More Susceptible to COVID-19?, Med Oncol, Vol. 38, No. 9, p. 101, DOI: 10.1007/s12032-021-01553-3. (IF 3.064).

Abstract: The COVID-19 pandemic has engulfed the entire world and has claimed more than 3 million lives worldwide. The severity of the disease increases with age and presence of comorbidities, including cancer. Multiple clinical studies have shown that the cancer patients are highly susceptible to the severe form of the viral disease. In this review article, we have summarized the available scientific literature regarding the molecular links between COVID-19 and cancer, which make the cancer patients highly susceptible to COVID-19. Additionally, we have also discussed whether SARS-CoV-2 can contribute to cancer development in COVID-19 patients.


5. Dey, G. and Mookherjee, S. (2021), Probiotics-Targeting New Milestones from Gut Health to Mental Health, FEMS Microbiology Letters, Vol. 368, No. 15, DOI: 10.1093/femsle/fnab096 (IF: 2.7).

Abstract: Development of probiotic foods and formulations for neural health benefits has garnered interest, with a renewed focus. In this context, this review discusses the evidences collected on the anxiolytic and antidepressant effects of probiotics, especially during 2015-till now. Although more clinical trials are necessary to elucidate the exact mechanism of probiotic mode of action, several of the established probiotic strains have been investigated. It appears that few of them have demonstrated their potential as ‘psychobiotics’. In near future, biological effect of probiotics on neurological conditions can open up an entire avenue for personalized medication and healthcare in mental health.

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School of Applied Sciences (August 2021) https://news.kiit.ac.in/research-development/school-of-applied-sciences-august-2021/ https://news.kiit.ac.in/research-development/school-of-applied-sciences-august-2021/#respond Wed, 08 Sep 2021 13:00:04 +0000 https://news.kiit.ac.in/?p=33317 School Of Applied Sciences

Journal Papers 1. Mohanty, S., Al Rashid, MDH.,Swayamsiddha, S. and Mohanty, C. (2021), Modern Computational Intelligence Based Drug Repurposing for Diabetes Epidemic, Diabetes & Metabolic Syndrome:Clinical Research& Reviews. Vol. 15, No. 5, pp. 10–21, DOI: 10.1016/j.dsx.2021.06.017 (IF:2.37) Abstract: Objectives are to explore recent advances in discovery of new antidiabetic agents using repurposing strategies and to […]

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School Of Applied Sciences

Journal Papers

1. Mohanty, S., Al Rashid, MDH.,Swayamsiddha, S. and Mohanty, C. (2021), Modern Computational Intelligence Based Drug Repurposing for Diabetes Epidemic, Diabetes & Metabolic Syndrome:Clinical Research& Reviews. Vol. 15, No. 5, pp. 10–21, DOI: 10.1016/j.dsx.2021.06.017 (IF:2.37)

Abstract: Objectives are to explore recent advances in discovery of new antidiabetic agents using repurposing strategies and to discuss modern technologies used for drug repurposing highlighting diabetic specific web portal. Drugs like Niclosamideethanolamine, Methazolamide, Diacerein, Berberine, Clobetasol, etc. with possibility of repurposing to curb diabetes can be potential late-stage clinical candidates, providing access to information on pharmacology, formulation, and probable toxicity if any. With collaboration of artificial intelligence (AI) with pharmacology, the efficiency of drug repurposing can improve significantly.


2. Mohanty, S. P.,  Das, S.,  Sahoo, S. K.,Swain, K. P.,  Rout, S. and Palai, G. (2021), A Proposal of 3D Sensor for Rapid Detection of Breast Tumour Cell Using Photonic Structure, Emerging Materials Research, Vol. 10, No. 4, pp.   1–6, https://doi.org/10.1680/jemmr.21.00014.

Abstract: This work proposes a method that can identify tumour cells present in the human breast with a plasmon-based 3D photonic structure. The plane-wave expansion technique is applied to find the solution of the Helmholtz equation that determines the band structure.  Three signals with frequencies of 0.5, 1.0 and 1.5 THz are allowed to impinge on the structure.  The bandgap analysis suggests that the cell is cancerous if the reflected signal falls within the blue regime. If the signal lies within the violet regime of the spectrum, then this is an indication of a normal cell.


3. Singha, A., Praharaj, S. and Rout, D., (2021). Effect of Sintering Time on Microstructure and Electrical Properties of Lead-Free Sodium Bismuth Titanate Perovskite. Materials Today: Proceedings, 46, 4568–4573. https://doi.org/10.1016/j.matpr.2020.09.709.

Abstract: Na0.5Bi0.5TiO3 was synthesized by solid state reaction method at a sintering temperature 1200°C for various duration up to 24 hr. The effect of sintering time on microstructure and electrical conductivity was investigated. The grain size increased from 2 to 5.2mm and its distribution broadened with increasing the duration from 1hr to 24 hr. Grain/grain boundary and space charge contributions towards the conductivity were distinctly demonstrated. The temperature and frequency dependent Z and ac conductivity as a function of sintering duration were analyzed correlating with the micro-structural changes to obtain useful information about conductivity and relaxation mechanism.

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Journal Papers (July 2021) https://news.kiit.ac.in/research-development/journal-papers-july-2021/ https://news.kiit.ac.in/research-development/journal-papers-july-2021/#respond Fri, 30 Jul 2021 15:05:38 +0000 https://news.kiit.ac.in/?p=32064 KIIT R&D Research and Development-Journal Papers

KIIT School of Applied Sciences 1. Patel, B. K. and Behera, N. (2021), On a Generalization of Incomplete Fibonacci Quaternions, Journal of the Indian Math. Soc., Vol. 88, No. 3-4, pp. 346-354, DOI: 10.18311/jims/2021/25549. Abstract: The aim of this article is to introduce a new class of quaternions, namely, incomplete Horadam quaternions based on incomplete […]

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KIIT R&D Research and Development-Journal Papers

KIIT School of Applied Sciences

1. Patel, B. K. and Behera, N. (2021), On a Generalization of Incomplete Fibonacci Quaternions, Journal of the Indian Math. Soc., Vol. 88, No. 3-4, pp. 346-354, DOI: 10.18311/jims/2021/25549.

Abstract: The aim of this article is to introduce a new class of quaternions, namely, incomplete Horadam quaternions based on incomplete Horadam numbers which generalize the previously introduced incomplete Fibonacci and Lucas quaternions. Further, some identities including summation formulae and generating functions concerning these quaternions are also established.


2. Patnaik, A K, Samal S K, Pradhan N and Swain B K. (2021), Reflection of SH-waves by a Spherical Cavity Embedded in an Inhomogeneous Medium, Sambodhi(UGC CareJournal), Vol. 44, No. 3, pp.15-21.

Abstract: The solution of displacement field to the problem of reflection of SH-waves by a spherical cavity embedded in an inhomogeneous medium has been obtained in the integral form. The integrals are evaluated asymptotically to obtain a short time estimate of the motion near the wavefront by the steepest descent method. The displacements of impulsive waves are shown graphically for different values of the inhomogeneity factor. This problem has valuable applications in the theory of Earthquake Engineering, Civil Engineering, Geophysical and related problems in seismology.


3. Chaudhuri, S., Sinha, S., Chakraborty, P., Das, M., Sahoo, S. and Das, B. (2021), Thermal Characteristics of Forced Convection in Combined Pressure and Shear Driven Flow of a Non-Newtonian Third Grade Fluid Through Parallel Plates, Heat Transfer-Wiley, DOI: https://doi.org/10.1002/htj.22201 Abstract: Heat transfer in a non-Newtonian third-grade fluid, flowing under the action of pressure gradient and shear, through two parallel plates, is considered. The upper plate moves with a constant velocity. Constant wall heat fluxes are applied to the plates. Effects of viscous dissipation are also included in the flow field. The governing equations are non-linear and are solved semi-analytically by the Least Square Method (LSM). Further, approximate analytical solutions are obtained by the perturbation method which validates the results generated by the LSM. The effects of the third-grade fluid parameters on the velocity and temperature and Nusselt’s number are discussed.


4. Padhy, B. P., Mishra, A., and Misra, U. K. (2021), On Degree of Approximation of Fourier Series of Functions in Besov Space using Norlund Mean, Proyecciones (Antofagasta, On line), DOI: 10.22199/issn.0717-6279-4092.

Abstract: In the present article, we have established a result on degree of approximation of function in the Besov space by (N, rn)- mean of Trigonometric Fourier series.


5. Padhy, B. P., and Nayak, L. (2021), Degree of Approximation of Fourier Series of Functions in Besov Space by deferred Nörlund Mean, Asian-European Journal of Mathematics, 2250033, DOI: https://doi.org/10.1142/S1793557122500334.

Abstract: In the present paper, we estimate the rate of convergence of Fourier series of functions by Deferred Nörlund mean in Besov space which is a generalization of space.


6. Nanda, S. and Behera, N., (2021), Mond-Weir Duality under -invexity in Banach Space, J. Information and Optimization Sciences, Vol.42, No. 4, pp. 735-746, DOI: https://doi.org/10.1080/02522667.2020.1840101.

Abstract:The weak, the strong and the converse duality theorems of a pair of nonlinear programming problems under -invexity, generalized -invexity, strongly -pseudo- invex functions in Banach spaces. The proposed work deals with suitable numerical examples.



KIIT School of Biotechnology

1. Behera, M., Tiwari, N., Basu, A., Mishra, S. R., Banerjee, S., Chakrabortty, S., & Tripathy, S. K. (2021), Maghemite/ZnO nanocomposites: A highly efficient, reusable and non-noble metal catalyst for reduction of 4-nitrophenol, Advanced Powder Technology, accepted. DOI: 10.1016/j.apt.2021.06.005 (IF: 4.8)

Abstract:

Heterogeneously catalyzed reactions are considered to be the cornerstone for numerous chemical processes and employed extensively for production of a large number of consumer products. However, the proliferating cost of Noble metals and limited resources of catalytically active metals have urged researchers to explore alternative candidates for industrial applications. In the present work, Maghemite/ZnO nanocomposites was processed by a two-step process and utilized successfully as a non-Noble metal catalyst for hydrogenation of p-nitrophenol. As this innovative material could be recycled with no significant decline in its catalytic efficacy, it may find its application in large scale chemical process industries.


2. Ruj, B., Chakrabortty, S., Nayak, J., Chatterjee, R. (2021), Treatment of arsenic sludge generated from groundwater treatment plant: A review towards a sustainable solution, South African Journal of Chemical Engineering, vol. 37, pp 214–226. https://doi.org/10.1016/j.sajce.2021.06.003. Cite score: 6.2

Abstract:

Arsenic pollution in groundwater that exceeds the permitted limit has been identified as a serious threat that has raised the alarm in a number of developing countries. Though a variety of technologies have been used to remove arsenic from water, little effort has been made to ensure that the generated sludge from arsenic-removing groundwater treatment plants is properly stabilised to prevent leaching. This research examines the possibilities of stabilising arsenic resistant sludge by forming bricks and cement blocks, based on a thorough analysis of known technologies for safe arsenic sludge disposal.


3. Newar, J., Verma, S., Ghatak, A. (2021), Effect of Metals on Underwater Adhesion of Gastropod Adhesive Mucus, ACS Omega, Vol. 6, No. 24, pp. 15580-15589, DOI: 10.1021/acsomega.0c06132 (IF: 3.512).

Abstract:

Many gastropods release adhesive mucus, which help them to remain attached to different substrates. We investigated the role of metals in improving the underwater adhesive property of the mucus from the slug Laevicaulis alte. We found that adhesive function of the mucus could be improved by treatments with salts of metals, namely, Ca, Mg, Cu, or Zn. Treatment with Cu²⁺ and Zn²⁺ increased its strength and underwater stability almost threefold. Our study showed that treatment with Zn²⁺ is the best choice for improvement of the underwater adhesive property. Overall, this work presents a novel biological underwater adhesive with a dynamic behavior in a versatile metal-rich environment.


4. Rao, A., Sahay, P., Chakraborty, M., Prusty, B., Srinivasan, S., Jhingan, G., Mishra, P., Modak, R., Suar. M. (2021), Switch to autophagy the key mechanism for trabecular meshwork death in severe glaucoma, Accepted in Clinical Ophthalmology, 2021, (I.F: 2.077).

Abstract:

Glaucoma is a progressive and irreversible eye disorder that ultimately leads to loss of vision. In glaucoma, primary site of injury is the trabecular meshwork, TM, which contains collagen beams and endothelial cells with extracellular matrix (ECM). Mass spectrometry analysis revealed that Autophagy related proteins are predominant over apoptosis in ex-vivo dissected TM specimens from patients with severe adult primary open-angle (POAG) or angle-closure glaucoma (PACG) compared to controls (cadaver donor cornea). We conclude a preference of autophagy over apoptosis may underlie stage transition from moderate to severe glaucoma that is tightly regulated by epigenetic modulators. 


5. Sahay, P., Padhy, D., Sarangi, S., Das, G., Reddy, M.M., Modak, R., and Rao, A. (2021), TGFβ1, MMPs and cytokines profiles in ocular surface: Possible tear biomarkers for pseudoexfoliation, PLoS One, Vol. 16, No. 4, pp. e0249759. DOI: 10.1371/journal.pone.0249759.

Abstract:

Pseudoexfoliation (PXF) is a unique form of glaucoma characterized by accumulation of exfoliative material in the eyes. We performed Multiplex ELISA of tears, aqueous humor (AH) and serum samples and immunohistochemical analysis of tenon’s capsule of patients with PXF stages. We found that TGFβ1, MMP-9 and FN1 protein expression were upregulated in Pseudoexfoliation glaucoma (PXG) compared to PXF. Interestingly gelatin zymography showed that MMP-9 protein activity was downregulated in PXG compared with control or PXF.

We have observed downregulation of differential expression of different growth factors in these samples in correlation of disease progression.



KIIT School of Civil Engineering

Pani, A., and Singh, S. P. (2021), Reclamation of Sedimented Ash Deposit by Chemical Columns, Journal of Hazardous, Toxic, and Radioactive Waste, ASCE (IF – 1.44) (Accepted)

Abstract: This research focuses on the potentiality of Ca(OH)2 and NaOH columns in augmenting the geoengineering and geo-environmental properties of sedimented ash beds. Model ash beds were stabilized with NaOH and Ca(OH)2 of 9 M concentration. The magnitude of strength development around Ca(OH)2 column is found to be relatively insignificant and limited to column periphery whereas NaOH treatment shows significant improvement. Calcium-based hydration compounds are found in Ca(OH)2 treated ash bed whereas NaOH treatment displays both geo-polymeric/calcium based hydration compounds. Encapsulation of leached-elements in the reaction matrix reduces their concentrations in leachate which was identified to be influenced by pH value.



KIIT School of Computer Engineering

1. Singh, A., and Kakali, C. (2021), Securing Smart Healthcare System with Edge Computing, Computers & Security, 102353.

Abstract:

A smart healthcare system based on edge computing architecture consists of an intermediary layer called an edge computing layer responsible for maintaining the network latency and preserving the privacy of the patient data. This edge computing layer has handled the encryption and privacy of the patient data with the help of the Privacy-Preserving Searchable Encryption (PPSE) technique. The access control mechanism is also implemented to restrict unauthorized access to the remote stored patient data. The proposed model’s implementation, performance, and security analysis show high security, low latency, low transfer time, low power, and low energy compared to a similar approach.


2. Mishra, S., Thakkar, H., Mallick, P. K., Tiwari, P., and Alamri, A. (2021), A Sustainable IoHT based Computationally Intelligent Healthcare Monitoring System for Lung Cancer Risk Detection, Sustainable Cities and Society, 103079.

Abstract:

In this work, a sustainable lung cancer detection model is developed to integrate the Internet of Health Things (IoHT) and computational intelligence. The IoHT unit generates data from patients. The Heuristic Greedy Best First Search (GBFS) algorithm selects relevant attributes of lung cancer data upon which a random forest algorithm classifies lung cancer affected patients. The mean accuracy, specificity, sensitivity, and f-score value recorded is 96.96 %, 96.26 %, 96.34 %, and 96.32 %, respectively, over various cancer datasets. The developed model reduces unnecessary manual overheads, preserves resources and assists medical professionals in reliable decision making on lung cancer diagnosis.


3. Priyadarshini, I., Kumar, R., Sharma, R., Singh, P.K., Satapathy, S.C. (2021), Identifying cyber insecurities in trustworthy space and energy sector for smart grids, Computers & Electrical Engineering, Vol. 93, pp. 107204, ( IF: 2.663).

Abstract:

The energies sector relies heavily on critical infrastructure and cloud usage. Hence, there is a simultaneous increase in the insecurities prevailing in both environments. Smart grids are vulnerable to cyber insecurities due to immense networking and data delivery. In this paper, we propose some of these insecurities that prevail in the cloud computing environment (Trustworthy Space) and the energy sector for smart grids. The insecurities are classified based on the motivation behind them. We rely on the Multi-Criteria Decision Making (MCDM) tool, Analytic Hierarchy Process (AHP) to determine how these insecurities affect smart grids.


4. Zhang, Y-D., Satapathy, S.C., Wu, D., Guttery, D.S., Górriz, J.M., and Wang, S-H. (2021), Improving ductal carcinoma in situ classification by convolutional neural network with exponential linear unit and rank-based weighted pooling, Complex and Intelligent System, Vol. 7, pp. 1295–1310, (IF: 3.717).

Abstract:

Ductal carcinoma in situ is a pre-cancerous lesion in the ducts of the breast, and early diagnosis is crucial for optimal therapeutic intervention. Thermography imaging I.s a non-invasive imaging tool that can be utilized for detection of DCIS and although it has high accuracy (~ 88%), it is sensitivity can still be improved. Hence, we aimed to develop an automated artificial intelligence-based system for improved detection of DCIS in thermographs. This study proposed a novel artificial intelligence based system based on convolutional neural network  termed CNN-BDER on a multisource dataset containing 240 DCIS images and 240 healthy breast images.

KIIT School of Electrical Engineering

1. Sannigrahi, S., Roy Ghatak, S. and Acharjee, P. (2021), Coordinated Planning of Distribution System with RES, DSTATCOM, and Protective Device, IEEE Transactions on Industry Applications, (Early access), DOI: 10.1109/TIA.2021.3083207, (IF- 3.488).

Abstract: In the competitive energy market, ensuring a reliable power supply becomes a major concern and accordingly, the distribution system must be equipped with protective devices to reduce frequency and duration of fault. In addition, large-scale integration of renewable energy sources (RES) is required because of the enormous load growth. In case of any fault, these devices can improve overall reliability by continuing power supply to the isolated loads. Accordingly, this study introduces a bi-level planning model where the optimal integration of RES and DSTATCOM is determined in upper-level planning and the protective devices are incorporated in lower-level planning.


2. Swaminathan, R., Mishra, S., Routray, A. and Swain, S. (2021), A CNN-LSTM-based fault classifier and locator for underground cables, Neural Computing and Application, doi.org/10.1007/s00521-021-06153-w, (I.F- 4.774).

Abstract: This paper presents a data-driven approach to classify and locate the faults occurring in underground Distribution cables using a CNN-LSTM-based deep learning architecture. A sliding window method is adopted, using the current and voltage signal patches as inputs. Additionally, Gaussian noise is added to resemble and extend the approach to practical scenarios. The trained model is evaluated with the data from a new simulation, and the results confirm the generalizability of the adopted method. A comparison is made with other feasible approaches, which show that the adopted method is preferable to achieve better performance.


3. Senapati, R., Vamsi Ram, I., Swain, S. and Senapati, R. (2021), Voltage and current profile improvement of a PV-integrated grid system employing sinusoidal current control strategy based unified power quality conditioner, Materials Today: Proceedings, Vol. 399, No. 5, pp. 1866-1875, https://doi.org/10.1016/j.matpr.2020.07.584.

Abstract: The basic aim of the electric power sector is to produce power as when required at the suitable sites, then transmitting and distributing to various load centres retaining the quality and fidelity of supply with economical tariff. This paper focuses on mitigation of power quality issues in a PV-integrated grid system by implementing constant Sinusoidal current control strategy-based simulation of Unified Power Quality Conditioner (UPQC) using MATLAB R2016a in association with various loads.


4. Mishra, S.P. and Senapati, R.(2021), Wind speed and power prediction using MK-PINN. International Journal of Power and Energy Conversion, Vol.12, No.1, pp.76-88, DOI: 10.1504/IJPEC.2021.113055

Abstract: A multi-kernel pseudo inverse neural network is proposed in this paper for efficient wind speed and power forecasting. The proposed model has been compared with Gaussian, wavelet, polynomial and sigmoid kernel. To get best output and learning methodology and stability pseudo inverse neural network is added, which substitutes the hidden layer with kernel function. This helps to achieve more accurate and faster response. Various case studies have been carried out from ten minutes to five hours interval to prove its accuracy.



KIIT School of Electronics Engineering

1. Bhajana V V K, Drabek P, Jara M, Popuri M, Iqbal A, B. ChittiBabu. (2021) Investigation of a Bidirectional DC-DC Converter with ZVS Operation for Battery Interfaces, IET Power Electronics, Vol.14, Issue.3,pp.614-625 DOI:10.1049/pel2.12048  (IF: 2.86).

Abstract

This paper proposes a bidirectional DC–DC converter with soft-switching capabilities. The main characteristic of this converter is that it can be operated in both boost and buck modes. The major advantages of this converter are high efficiency and reduced switching loss in high-power and high-voltage applications. The soft-switching capability is obtained by additional dual auxiliary resonant circuits connected to the conventional non-isolated bidirectional DC–DC converter. Except for the auxiliary switches, all main switches turn on with zero-voltage switching in this proposed bidirectional DC–DC converter. The auxiliary switches turn off with zero current transition.


2. Maity, S. K. and Pandit, S. (2021), Performance Assessment of CMOS circuits using III-V-on-Insulator MOS Transistors, Silicon, Vol.13, No. 6, pp. 1339 – 1349, DOI: 10.1007/s12633-020-00582-3) (IF: 1.499).

Abstract

In this work, with the help of calibrated numerical simulations, we have studied performance metrics of different circuits designed using III-V, III-V/Ge and Silicon-on-insulator (SOI) based CMOS logic. Inverter designed using III-V/Ge shows 51% and 17% reduction in rise and fall time compared to SOI CMOS. The oscillation frequency of the III-V/Ge, and III-V ring oscillator is three times and two times higher than SOI based design. The unity-gain bandwidth of the III-V/Ge and III-V inverting amplifier is 22 times and 9.5 times higher compared to SOI based circuit. The low noise amplifier circuit designed using InAs-OI transistor shows higher gain and low noise figure compared to the SOI-based design.


3. Dass S., Chatterjee K., Kachhap S., and Jha R. (2021), In Reflection Metal-Coated Diaphragm Microphone Using PCF Modal Interferometer, Journal of Lightwave Technology, Vol. 39, No. 12, pp. 3974– 3980, DOI: 10.1109/JLT.2021.3051951) (IF: 4.288).

Abstract:

In this paper, we propose a double/hybrid interferometry optical microphone. We have combined the intermodal interference of SMF-SCPCF section with extrinsic Fabry-Perot interferometer to construct a highly sensitive, compact and robust optical microphone. The acoustic sensitivity and noise-limited minimum detectable pressure (MDP) of the proposed microphone is 34.8 nm/kPa and 0.26 P⁄√Hz at 1400 Hz. We also recorded the angular response of the proposed optical microphone and the final directionality pattern is of ‘cardioid’ type which makes it a preferable option for a wide variety of applications.


4. Behera, T. M. and Mohapatra, S. K. (2021), A novel scheme for mitigation of energy holeproblem in wireless sensor network for military application, International Journal ofCommunication Systems, Vol. 34, No. 11, (https://doi.org/10.1002/dac.4886) (IF: 1.319).

Abstract:

The data transmission in a multi-hop network, as used for military purposes, follows a many-to-one pattern resulting in a heavier traffic load for nodes near to sink. Hence, thesenodes deplete energy very soon resulting in a vacuum of energy and breakage of the network. This article aims to mitigate the EHP by implementing a corona-based model in a clustered network. Here the CH selection is regularized by preferring the outer corona nodes over the inner ones. The proposed model is implemented in both homogeneous and heterogeneous networks and better network performance is observed.


5. Mondal, J., Deb, A. and Das, D. K. (2021), An Efficient Design for Testability Approach of Reversible Logic Circuits, Journal of Circuits, Systems and Computers, Vol. 30, No. 6, pp. 2150094:1 – 2150094:31, DOI: https://doi.org/10.1142/S0218126621500948 (IF: 1.363).

Abstract:

Reversible circuits have been extensively investigated because of their applications in areas of quantum computing or low-power design. This paper introduces a design for testability (DFT) technique for reversible circuits where the gates of a circuit are clustered into different sets and the gates from each cluster are then connected to an additional input line. Such arrangement makes it possible to achieve 100% fault detection in any reversible circuit with a small increase in quantum cost. Experimental evaluations confirm that the proposed DFT technique incurs less quantum cost overhead with 100% fault detection compared to the existing DFT techniques.


6. Jha, A K V, Appasani, B., Ghazali, A N. Bizon, N. (2021), AComprehensive Risk Assessment Framework for Synchro phasor Communication Networks in aSmart Grid Cyber Physical System with a Case Study, Energies, Vol. 14, no. 12: 3428.https://doi.org/10.3390/en14123428. (I.F 2.702).

Abstract:

A comprehensive risk assessment framework has been proposed in this article for three types of Synchrophasor Communication Networks (SCNs), The proposed framework uses hardware reliability as well as data reliability to evaluate the associated risk. A simplified hardware reliability model has been proposed for each of these networks, based on failure probability to assess risk associated with hardware failures. Furthermore, the packet delivery ratio (PDR) metric is considered for measuring risk associated with data reliability. To mimic practical shared and hybrid SCNs, the risk associated with data reliability is evaluated for different background traffics. The analytical results are meticulously validated by considering a case study of West Bengal’s (a state in India) power grid.


7. Mishra, S K., Jha, A K V., Verma, V K.,  Appasani, B., Abdelaziz, A, Y. Bizon, N. (2021), An Optimized Triggering Algorithm for Event-Triggered Control of Networked Control Systems; Mathematics, Vol. 9, no. 11: 1262.https://doi.org/10.3390/math9111262 (IF 1.747).

Abstract-

This paper presents an optimized algorithm for event-triggered control (ETC) of networked control systems (NCS). Initially, the traditional back stepping controller is designed for a generalized nonlinear plant in strict-feedback form that is subsequently extended to the ETC. In the NCS, the controller and the plant communicate with each other using a communication network. In order to minimize the bandwidth required, the number of samples to be sent over the communication channel should be reduced. This can be achieved using the non-uniform sampling of data. However, the implementation of non-uniform sampling without a proper event triggering rule might lead the closed-loop system towards instability. Therefore, an optimized event triggering algorithm has been designed such that the system states are always forced to remain in stable trajectory.



KIIT School of Mechanical Engineering

1. Sahoo, A. K., Panda, A., Nayak, B. B., Kumar, R., Das, R. K., Nayak, R. K. (2021), Machinability model and multi-response optimisation of process parameters through regression and utility concept,International Journal of Process Management and Benchmarking, Vol. 11, No. 3, pp. 390-414, DOI: 10.1504/IJPMB.2021.115009.

Abstract

Over the years, it is essential to produce appropriate dimensions with quality parts for the use in various automotive components. This paper presents modelling and multi-optimisation exploration on the hard part turning of EN 24 grade steel at 48 HRC with coated carbide multilayer inserts for three roughness factors (Ra, Rz, and Rt). Taguchi L16 orthogonal design with three input parameters and three quality characteristics output was applied to suitably model the process requirements. The ideal parametric setting for different multiple quality features was found to be the depth of cut (0.4 mm), feed rate (0.04 mm/rev) and cutting speed (200 m/min) respectively.


2. Ray, S., Rout, A.K., Sahoo, A.K.(2021),A comparative analysis of the abrasion wear characteristics of industrial wastes filled glass/polyester composites based on the design of experiment and neural network,Polymer Composites, Vol. 42, No. 1, pp. 424-438, DOI: 10.1002/pc.25836. DOI: 10.1002/pc.25836(I.F: 3.171).

Abstract

This article presents the abrasion wear behaviour of different industrial wastes filled glass/polyester composites. Two types of fillers such as fly ash and granite dust are chosen with different weight proportions along with polyester and glass fiber for fabricating the composite using hand layup route. Abrasion wear properties of the developed composites are         studied in the dry sand abrasion wear test rig as per the ASTM-G-65 standard. The experiments were conducted based on Taguchi design. Between the two fillers, granite filled composite showed better abrasion resistance property as compared with fly ash. The results are predicted using neural network and also compared with the experimental and      regression model data. Abraded surfaces are examined by the SEM to ascertain the different   wear mechanisms responsible for abrasion loss of material.


3. Chauhan, H., Satapathy, S., Sahoo, A.K. (2021), Mental stress minimization in farmers: an approach using REBA, PSO, and SA, International Journal of Systems Assurance Engineering and Management. DOI: 10.1007/s13198-021-01167-y.

Abstract

The present study was aimed to evaluate the ergonomic risks in the agricultural    sectors that may lead to mental stresses as well as musculoskeletal disorders among farmers. This study was carried out by considering 149 farmers from the states of “Chhattisgarh and   Odisha” in India. The ergonomic tool such as “Rapid Entire Body Assessment” was used to analyze the working postures of farm workers. Further based on the objective function as minimization of mental stresses on farmers, the “Particle Swarm Optimization and Simulated Annealing” algorithms were used to find the best fitness values. Based on the findings, suitable ergonomic-solutions may be undertaken for the design and development of proper farm-related as well as farmers’ protective tools for their benefits.


4. Chauhan, H., Satapathy, S., Sahoo, A.K. (2021), An integrated swara and QFD approach to minimize mental stress of Indian Farmers, International Journal of Service Science, Management, Engineering, and Technology, Vol. 12, No. 2, pp. 111 – 131. DOI: 10.4018/IJSSMET.2021030107.

Abstract

Farmers are dependent upon various exceptional work-related stressors, a significant number of which have been exasperated as of late by changes in cultivating practice and by other factors. The present was based on in-depth review of literature and analysis of works based on the mental workloads and stresses of framers. The risks associated with the Indian agricultural sectors were identified. And then SWARA method was used for calculating the weights and corresponding ranking of the criterion/ parameter along with sub-criteria/sub-parameters were done accordingly. Then, the QFD technique was used to suggest the design parameters so as to minimize the work stress on farmers.


5. Kumar, R., Pandey, A., Panda, A., Mallick, R., Sahoo, A.K. (2021), Grey-Fuzzy Hybrid Optimization and Cascade Neural Network Modelling in Hard Turning of AISI D2 Steel, International Journal of Integrated Engineering, Vol. 13, No. 4, pp. 189 – 207. DOI: 10.30880/ijie.2021.13.04.018.

Abstract

Current work utilizes     PVDcoated (TiAlN) carbide insert in dry hard turning of AISI D2 steel. The multi-responses like tool-flank wear, chip morphology, and chip reduction coefficient are considered. To achieve the best    combination of input cutting terms, grey-fuzzy hybrid optimization (Type I and Type II) is utilized considering the Gaussian membership function. The optimal combination of input terms is found as t-1 (0.15 mm), s-4 (0.25 mm/rev) and is Vc-2 (100 m/min) which is comparable to the results obtained under spray impingement cooling using CVD tool in the literature. Further, six different types of cascade-forward-back propagation neural network modelling is accomplished. Among all models, CFBNN-4 model exhibited the best prediction results with   a mean absolute error of 2.278% for flank wear (VBc) and 0.112% for the chip reduction coefficient (CRC).


6. Sahoo, B.P., Das, D. (2021), Investigation on reinforcement incorporation factor and microstructure of Al 7075/submicron-TiB2 metal matrix composites processed through a modified liquid metallurgy technique,Experimental Techniques, Vol.45, No. 2, pp. 179-193. DOI: 10.1007/s40799-020-00429-x (IF: 1.167).

Abstract:

In this paper 0.8, 1.2, 1.6 and 2 wt.% of submicron-TiB2 particulate reinforced Al 7075 metal matrix composites (MMCs) were fabricated following a modified liquid metallurgy technique, which included ball milling, semi-solid stirring and ultrasonic agitation assisted squeeze casting method. Results revealed excellent incorporation and dispersion uniformity of the reinforcements in the matrix phase. Occasional formation of reaction by-products (Al4C3) was observed at the interface of 1.2 wt.% TiB2 reinforced MMC. Reduction of precipitates and large grain refinements were observed for the MMC containing 1.6 wt.% of TiB2. In the microstructure of Al 7075/2 wt.% TiB2 MMC, superior dispersion of reinforcements at grain boundaries and inter-dendritic regions, along with presence of metastable η-MgZn2 phases was identified. Crystalline phase identification of all the composite samples was also performed through XRD analysis, which validated the elemental phase distribution results of EDS.


7. Mukherjee, S., Halder, T., Ranjan, S., Bose, K., Mishra, P. C., Chakrabarty, S. (2021), Effects of SiO2 nanoparticles addition on performance of commercial engine coolant: Experimental investigation and empirical correlation,Energy, Vol. 231, pp. 120913, DOI: 10.1016/j.energy.2021.120913 (IF: 7.147).

Abstract

SiO2 nanoparticles were dispersed in engine coolant to prepare nanofluids at five different mass concentrations of 0.01%, 0.05%, 0.10%, 0.50% and 1%. The SiO2 nanofluid samples showed good dispersion stability. Nanocoolant with 1% concentration at 65 °C showed a maximum enhancement in thermal conductivity value of 21.083%. A mathematical correlation was developed to predict the thermal conductivity of engine coolant based SiO2 nanofluids with high accuracy. The experimental outcome reveals that the thermal performance of commercial engine coolant could be increased with the addition of SiO2 nanoparticles.


8. Nayak, S. K., Hoang, A. T., Nayak, B., Mishra, P. C. (2021), Influence of fish oil and waste cooking oil as post mixed binary biodiesel blends on performance improvement and emission reduction in diesel engine,Fuel, Vol. 289, No. 119948, DOI: 10.1016/j.fuel.2020.119948 (IF: 6.609).

Abstract

The performance, combustion and emission characteristics of a single-cylinder four-stroke, direct injection diesel engine fuelled with fish oil biodiesel and waste palm cooking oil biodiesel via. Transesterification processes in different volume proportionate are described. Results depicted PMBD20 to showcase close resemblance to diesel fuel. Moreover, it depicts higher specific fuel consumption and lower thermal efficiency of 1.82%↑ higher and 2.06%↓ lower than diesel. Similarly, carbon monoxide, hydrocarbon and smoke intensity were diminished by 18.2%↓, 23.4%↓ and 15.4%↓ lower, but at the cost of higher oxide of nitrogen i.e. 10.66%↑ higher, in contrast to diesel fuel for better environmental sustainability and security.


9. Tiwari, P. K., Raj, S., Kumar, S., Singh, P., Swaraj, R., Sarkar, S., Nayak, S. K., Mishra, P.C. (2021), Influence of calophyllum inophyllum and Jojoba oil methyl ester blended with n-pentanol additive upon overall performance, combustion and emission characteristics of a TDI engine operated in natural aspirated mode,Fuel, Vol. 288, No. 119576, DOI:10.1016/j.fuel.2020.119576 (IF: 6.609).

Abstract

Considering performance and emission characteristics calophyllum inophyllum oil methyl ester and pentanol blend (CIME20–P20) depicts a higher brake specific fuel consumption of 3.41% while lower exhaust gas temperature and brake thermal efficiency of 13.46% and 1.18% in contrast to diesel fuel. Carbon dioxide, hydrocarbon, oxides of nitrogen and smoke opacity for CIME20–P20 were 57.02%, 59.37%, 17.39% and 41.53% lower than conventional diesel fuel. CIME20–P20 depicts better performance and diminished exhaust emission thereby making it more potential to substitute the conventional fuel without any engine alteration for better environmental sustainability and energy security.


10. Mukherjee, S., Mishra, P. C., Chakrabarty, S., Chaudhuri, P. (2021), Effects of Sonication Period on Colloidal Stability and Thermal Conductivity of SiO2–Water Nanofluid: An Experimental Investigation, Journal of Cluster Science, 1-9, DOI: 10.1007/s10876-021-02100-w (IF: 3.061).

Abstract

The objective of the present work is to analyze the consequences of the sonication period on the colloidal stability and thermal conductivity of SiO2–water nanofluid. The obtained results indicate that increasing sonication time is crucial for the enhancement in stability and thermal conductivity of nanofluid. With increasing temperature, the thermal conductivity of nanofluids also increased. Moreover, at lower temperature, sonication plays a dominant role on thermal conductivity enhancement in nanofluids. The investigation concludes that a minimum 2.5 h of sonication is required for the better performance of nanofluids.


11. Mukherjee, S., Panda, S. R., Mishra, P. C., Chaudhuri, P. (2021), Convective Flow Boiling Heat Transfer Enhancement with Aqueous Al2O3 and TiO2 Nanofluids: Experimental Investigation,International Journal of Thermophysics, Vol. 42, No. 6, pp. 1-26, DOI: 10.1007/s10765-021-02850-9 (IF: 1.608).

Abstract

Stable suspensions of aqueous Al2O3 and TiO2 nanofluids at two different concentrations of 0.01 and 0.1 wt% were prepared and allowed to flow through a horizontal annulus under varying heat flux from 26,140.132 to 53,573.503 W⋅m‒2 and varying flow rates from 3 to 6 L⋅min‒1. A maximum of 2.4 times enhancement in HTC relative to water was observed. Highest pressure drop of 33.33 % was registered with nanofluids at 0.1 wt%. Figure of merit showed that nanofluids are better alternatives to their basefluids for superior heat transfer.


12. Arora, N., Mukherjee, S., Mishra, P. C., Chakrabarty, S., Chaudhuri, P. (2021), Thermal Conductivity Enhancement of Silica Nanofluids for Ultrafast Cooling Applications: Statistical Modeling and Economic Analysis,International Journal of Thermophysics, Vol. 42, No. 5, pp. 1-22, DOI: 10.1007/s10765-021-02816-x (IF: 1.608).

Abstract

Stable nanofluids were prepared by dispersing dry SiO2 particles directly in water using sonication. The thermal conductivity of nanofluid with mass concentrations of 0.01 % to 1 % was estimated using a unique ultrasonic velocity measurement technique at various temperatures over 25 °C to 65 °C for every 10 °C rise. Experimental data are analyzed through statistical method and a simple linear regression model (with R2 > 0.99) of thermal conductivity is presented. Further, pricewise performance of nanofluids is performed to obtain the economic feasibility of SiO2–water nanofluids in heat transfer applications.


13. Aich, S.Tripathy, S.Joo, M. I., Kim, H. C. (2021), Critical dimensions of blockchain technology implementation in the healthcare industry: An integrated systems management approach,Sustainability, Vol. 13, No. 9, pp. 5269,  DOI: 10.3390/su13095269 (IF: 2.576).

Abstract

Blockchain technology has gained increasing attention as it ensures transparency, trust, privacy, and security. However, the critical factors affecting efficiency require further study. Here, we define the critical factors that affect blockchain implementation in the healthcare industry. We extracted such factors from the literature and from experts, then used interpretive structural modeling to define the interrelationships among these factors and classify them according to driving and dependence forces. This identified key drivers of the desired objectives. Regulatory clarity and governance (F2), immature technology (F3), high investment cost (F6), blockchain developers (F9), and trust among stakeholders (F12) are key factors to consider when seeking to implement blockchain technology in healthcare. Our analysis will allow managers to understand the requirements for successful implementation.


14. Mohapatra, B., Singhal, D., Tripathy, S. (2021), Lean Manufacturing towards Sustainability: A Grey Relational Framework, International Journal of System Dynamics Applications (IJSDA), Vol. 10, No. 1, pp.16-30. http://doi.org/10.4018/IJSDA.2021010102.

Abstract

This paper intends to capture the attention of the lean researchers towards a shift of priorities of the various techniques implemented in lean and its journey of 40 years in the global scenario. In particular, the paper focuses on the implementation of lean techniques in India under the banner of sustainability. The paper focuses on three industries, a textile industry representing industrial revolution 1.0, an automotive spare parts industry representing industrial revolution 2.0, and an electrical/electronics industry representing industrial revolution 3.0, named ‘A’, ‘B’, and ‘C’, respectively, and analyses the priorities of the eight best techniques of lean in the sustainability phase. The techniques are Kaizen, Poke-Yoke, 5S, Kanban, Just-in-Time, Jidoka, Takt-Time, and Heijunka.


15. Mahapatra, P., Tripathy, S., Panda, S. K. (2021), Factors Influencing of SSCM Performance of the Indian Insurance Industry: An ISM Approach, International Journal of System Dynamics Applications (IJSDA), Vol. 10, No. 4, pp. 1-18. http://doi.org/10.4018/IJSDA.20211001. oa5.

Abstract

Here, the study is an attempt to overcome the challenges that impacts the effectiveness, efficiency, and success of SSCM of the Indian insurance industry. To show the hierarchical interrelationship among the selected significant factors of the insurance industry, an integrated comprehensive framework has been developed, displayed, and explained through an interpretive structural modelling (ISM) technique. Beneath the study, various classification of influential factors have been carried out like autonomous, linkage, dependencies, and driving force. Finally, this study developed a hierarchical structure of selected prominent factors responsible for the success of SSCM of the Indian insurance industry by using ISM technique.



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Patents Published/Granted (July 2021) https://news.kiit.ac.in/research-development/patents-granted/patents-published-granted-july-2021/ https://news.kiit.ac.in/research-development/patents-granted/patents-published-granted-july-2021/#respond Fri, 30 Jul 2021 15:05:22 +0000 https://news.kiit.ac.in/?p=32063 KIIT R&D Research and Development-Patents Published Granted

KIIT School of Biotechnology 1. Ananyo Jyoti Misra, Aradhana basu, Arpan Ghosh, Amrita Misha, Cecilia Stålsby Lundborg, Suraj Kumar Tripathy, Title:  A photocatalytic nano-composition and system for water disinfection (Indian patent filed TEMP/E-1/33686/2021-KOL). Abstract: This point-of-use device is designed for disinfection of bacteria from the water and can have a promising outcome as an off-grid […]

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KIIT R&D Research and Development-Patents Published Granted

KIIT School of Biotechnology


1. Ananyo Jyoti Misra, Aradhana basu, Arpan Ghosh, Amrita Misha, Cecilia Stålsby Lundborg, Suraj Kumar Tripathy, Title:  A photocatalytic nano-composition and system for water disinfection (Indian patent filed TEMP/E-1/33686/2021-KOL).

Abstract:

This point-of-use device is designed for disinfection of bacteria from the water and can have a promising outcome as an off-grid water disinfection system appropriate for most pregnable rural populations and individuals living in remote localitie.



KIIT School of Computer Engineering

1.Pratyusa Mukherjee, Ms. Neha Kapila, Mr. Dhiraj Kapila, Dr. Ashulekha Gupta, Dr. Purnendu Shekhar Pandey, Dr. Hardeep Singh Saini, Dr. Sudip Mandal, Mr. Pijush Dutta, Dr. Chittaranjan Pradhan, Achishek Bhattacharya, C. R. Srinivasan, Dr. S. Balamurugan, Patent Name: Artificial Intelligence Based Outdoor Navigation System using Augmented Reality (Indian patent). Application Number- 202131020165

Abstract:

The Artificial Intelligence based Outdoor Navigation System using Augmented Reality (AIONS) helps the traveler(s) to make use of the AIONS to navigate the unknown places easily without deviating to wrong path using 3D map. The traveller(s) can take a photo about an object/scenery, etc. If the traveler(s) don’t know how to reach that target location of the taken photo then they can send that taken photo to the cloud server. The cloud server will process the data of photo based on past history or previous database and it will generate a 3D map from the source person to the target.



School of Electrical Engineering

1. Dr. Pampa Sinha and Dr. Chitralekha Jena, Patent Name: Thermal Screening System and method (Indian patent), patent number 369726

This prototype is patented and has been granted for the term of 20 years from the 17th day of June 2020 in accordance with the provisions of the Patents Act,1970 by Controller General of Patents, Design and Trademarks, Department of Industrial Policy and Promotion, Ministry of Commerce and Industry, Government of India

Abstract: India being a crowded country with almost 130 million people and counting it becomes quite difficult to check each person for Corona virus personally during the rush hours. The main objective of this prototype is to install a door in the entrance of any residential complex, office building, Airport, shopping malls or any kind of commercial building where feasibility of gathering is more. Any person while walking into the door, the sensor will detect the body temperature and raise an alarm if it exceeds a given threshold temperature value. Simultaneously it will be recording the faces of that suspected person explicitly passing through it into a database that is assigned only for this purpose. Once the door raises an alarm the secondary camera will be able to follow the person until they are detected.


2. Dr. Arjyadhara Pradhan, Dr. Babita Panda and Mr. Biswaranjan Acharya, Patent Name: System and Method for Electromagnetic Wave Based Rapid Tissue Fixation and Preparation (Indian patent). Application Number: 334280-001 Published on 7th May 2021.

Abstract: Vegetable and Fruit washer is a simple home appliance used for washing of vegetables and fruits in day-to-day life.  Health and hygiene have become the utmost priority for sustenance. Hence vegetable and fruit washer can help people to manage washing of vegetables without direct contact. The design is very simple, portable and affordable and easy installation. This virus is microscopic in size and can be present on every particles like our clothes or any products we bring from outside. So, washing vegetables with the help of vegetable washer can solve the problem of infection from germs and cold to some extent.

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