Book Chapters (Jan – April 2021)


KIIT School of Applied Sciences

1. Praharaj, S., Rout, D. and Nayak, R.K., (2021), Synergistic Effect of Natural Fiber-reinforced Polymer Compositein  Hybrid Natural Fiber Composites, EDITOR’S NAME? Woodhead Publishing, Elsevier, pp. 145–165.

Abstract: Natural fiber-reinforced polymer composites (NFRPC) offer numerous advantages over the widely used nonrenewable materials sources in terms of recyclability, lower pollutant and greenhouse gas emissions, and enhanced energy recovery. They have low density, good thermal insulation, and acoustic properties, high flexural strength, and abundance in quantity. Utilizing the synergetic effect, hybrid composites are fabricated through a combination of multiple interfacial additives to overcome drawbacks like high moisture absorbing property and poor wettability in NFRPCs. In this chapter, the synergistic effect of NFRPC obtained through hybridization technique with multiple natural fiber fillers, the effect of nanofillers and synthetic hybridization are discussed.

2. Rout, D., Nayak, R.K. and Praharaj, S., (2021), Aerospace and Vehicle Industryin  Handbook of Polymer Nanocomposites for Industrial Applications,EDITOR’S NAME? Elsevier,  pp.399–417.

Abstract: Composites are materials of choice which utilizes the advantages of the constituent materials at the expense of their weaknesses. Polymeric composites with several fillers are heat and corrosion resistant, lightweight, posses mechanical and impact strength, stiffness and low electrical conductivity. So they find a place in aircrafts and vehicles. Such unique property combinations are due to the specific arrangements between the polymer matrix and its reinforcements and their interactions; in particular the type of reinforcement. In this chapter we have tried to add a flavor of polymer nanocomposites in application areas of aerospace and automotive sectors.

KIIT School of Biotechnology

1. Sahoo S, Mahapatra S.R., Misra N, Suar M (2021), Application of Genomics, Transcriptomics and Proteomics in Probiotic Research in Probiotic Beverages, Elsevier, ISBN: 9780128185889

2. Suar, M., Misra, N., Bhavesh, N.S. (2021), Biomedical Imaging Instrumentation: Applications in Tissue, Cellular and Molecular Diagnostics, Elsevier, 1st Edition,  ISBN: 9780323856508. 

3. Roy S, Ray R, Dash S. R., Giri M.K (2021), Plant Disease Detection Using Machine Learning Tools with an Overview on Dimensionality Reduction in Data Analytics in Bioinformatics: A Machine Learning Perspective, 2021 Scrivener Publishing LLC, Wiley Online Library,

Plants are always exposed to various kinds of stresses. To address this issue, methods have been employed for identification, classification, and quantification of plant stress. With the advent of Machine Learning techniques, prediction studies can be carried out based on the feature space for both image and numeric datasets. Owing to a large number of features in these datasets, dimensionality reduction is used for reducing the original number of features by getting rid of the redundant and less important attributes. In this book chapter, feature extraction using dimensionality reduction has been performed for effective prediction of plant disease as a result of biotic stress.

4. Chakrabortty S, Nayak J, Pal P,  Ruj B, and Chakraborty P (2021), Nanomaterials for CO2 Capture: An Introduction in Nanomaterials for CO2 Capture, Storage, Conversion and Utilization, Editors Names (Editor: Tuan Anh Nguyen), Elsevier, USA, pp. 21-30, ISBN No: 9780128228944.

Due to the massive application of machineries in industries, demands of electricity are increasing day by day with an outcome of huge emission of greenhouse gases through the power generation sectors. This is predicted to turn eagerly worse in near future due to rapid increase of population and industrialization. In this regards, capturing of CO2 and transform it into suitable biofuels through chemical reduction may be a desirable option to solve the environmental disturbance and energy. This chapter deals with a critical review of a galore of effective ways of CO2 capturing through novel nanomaterials.

5. Dey G. (2021), Genetic Engineering of Microorganisms in Winemaking in Winemaking-Basic and Applied Aspects, Editors Names (V.K. Joshi  and  Ramesh C. Ray), CRC Press, Taylor and Francis Group, Bocca Raton, USA, pp. 55-65,

This chapter discusses various aspects of transgenic wine yeasts and wine-associated lactic acid bacteria. The wine fermentation and post-fermentation steps have become more sophisticated and automated. S. cerevisiae are diploid/aneuploid, occasionally polyploidy, mainly homothallic, exhibiting chromosomal length polymorphism, possessing multiple translocations, while the lab-bred strains are haploid or diploid. In order to design new wine yeasts for commercial applications, several classical approaches were successfully applied. Some of the problems faced in sexual hybridisation can be overcome by rare-mating or alternate hybridisation. Industrial wine yeasts are usually diploid or polyploid because of the presence of two copies or more; they lack auxotrophic mutations, restricting the selection process of mutants. Selectable transformation markers are essential for strain improvement by genetic methods. Winemaking is not merely alcoholic fermentation; modern wineries rely on carefully selected starter cultures for obtaining consistent and reliable products. The concept of winemaking is going through a period of change, experimentation and adaptation.

6. Pattnaik R, Ray L, Singh P.K., Mishra S, and Adhya T.K. (2021), Environmental impact assessment of wastewater based biorefinery for the recovery of energy and valuable bio-based chemicals in a circular bioeconomy in Waste Biorefinery: Value Addition through Resource Utilization, Editors Names (Thallada Bhaskar, Sunita Varjani, Ashok Pandey and Eldon N. Rene), Elsevier, Amsterdam, Netherlands, pp. 67-101.

Abstract: Ever-growing human population, their need for food, energy, and water along with various deadly pollutants are the major threat to the mankind. Hence, there is a need to develop sustainable technologies to provide constant supply of food and energy to enable a circular economy. Wastes in developing countries, if properly managed, can be potential source of energy, recycled materials, and revenue. For waste treatment, technologies such as fermentation, anaerobic digestion (AD), pyrolysis, incineration, and gasification can be used. However, selection of the right technology and proper process will depend on the type of waste, it’s generation, and the desired economy of scale. Hence, there is a need to develop an integrated biorefinery approach so that the waste can be treated to recover energy, produce various value-added products, and reduce greenhouse gases for a sustainable environment.

7. Rout M, Sardar B, Singh P.K., Pattnaik R, and Mishra S. (2021). Utilization of Microbial Potential for Bioethanol Production from Lignocellulosic waste in Biotechnology for Zero Waste – Emerging Waste Management Techniques, Editors Names ( K. Ravi Kumar and Chaudery M. Hussain), Wiley-VCH, Weinhelm, Germany, pp. 175-201.

Lignocellulosic biomass has proved to be the most potential due to its high cellulose content and easy availability for bioethanol production. Various physical, chemical, physicochemical and biological measures have been practiced for successive delignification, cellulose crystallinity reduction/degradation and degradation of hemicelluloses into simpler sugars that may be utilised by fermentative microbes at the later phase. Microorganisms like Bacillus sp., Cellulomonas sp. as well as a few fungi such as Aspergillus niger, and Phanerochaete chrysosporium, and/or their enzymes have been generally utilised in the biological pretreatment process. The enzymes such as laccases, manganese peroxidases, lignin peroxidases, and other versatile peroxidases are involved in lignin degradation via various oxidation processes. This chapter aims to examine the potential of microorganisms in bioethanol production from lignocellulosic biomass.

KIIT School of Electrical Engineering

Sahu, P. K., Jena, S. and  Sahoo, U. (2021). Techno-Economic Analysis of Hybrid Renewable Energy System with Energy Storage for Rural Electrification. In Sahoo, Umakanta (Ed.), Hybrid Renewable Energy Systems, pp. 63–96: Scrivener Publishing LLC(

Hybrid renewable energy systems with energy storage are a suitable model for rural electrification. The hybrid systems comprise of main sources namely photovoltaic and wind as these renewable resources are having very good potential in various regions of India. The energy storage i.e. battery has been used for uninterrupted power supply under the power outage due to seasonal variation or short transient of solar radiation. This study assesses some major issues and challenges in the various design of the hybrid systems.  Moreover, the techno-economic feasibility analysis of various hybrid renewable energy systems for rural electrification has been investigated using HOMER software.

KIIT School of Electronics Engineering

  1. Mukherjee, D.,  Kundu, P., Ghosh, A. (2021), Analysis of Conventional and Fractional Order Controllers for Nonlinear CSTR in Advances in Smart Grid and Renewable Energy. ETAEERE 2020, Sherpa K.S., Bhoi A.K., Kalam A., Mishra M.K. (eds), Lecture Notes in Electrical Engineering, Springer, Singapore, Vol 691.

Abstract: In this work, to control temperature, IOPID and FOPID controllers have been tested on CSTR nonlinear model and simulation study has been performed. Fractional-order PID controller has been designed using RL fractional calculus method and plays advanced role using two degree of freedoms. PSO optimization algorithm has been used to optimize the parameters. Now, to stabilize the heat at satisfactory level, internal model control (IMC)-based FOPID controller followed by a novel technique on set point weighted-based IMC-FOPID has been approached to filter the performance of the system comparing with other controllers in simulation.

Keywords: CSTR PID FOPID IMC-FOPID Set point weighted IMC-FOPID PSO  optimization

  1. Goswami, R., Deb, A., Rathi, R. D., and Mahajan, P. (2021), Design and Analyses of a Food Protein Sensing System Based on Memristive Properties in Lecturer Notes  in  Electrical and Electronic Devices, Circuits, and Materials: Technological Challenges and Solutions,Tripathi, S. L., Alvi, P. A., and Subramaniam, U. (Eds.) pp. 101–118, Wiley.

Abstract: Memristors have attracted great interest among the scientific community owing to the convenience in manufacture, cost effectiveness and diverse applications. Proposed by Leon Chua as the fourth missing electrical element, memristors have been explored primarily for computing applications at the level of integrated circuits. What remains entirely unexplored is the possibility of using memristive behavior in food items to determine their protein content. The chapter addresses the design, experiment and prospects of an electronic sensing system to determine the protein content in common food items, chicken egg albumin and milk. Different sensitivity parameters along with their extraction mechanisms are presented.

Keywords: Memristor, egg albumen, milk, protein, sensors.

  1. Jha, A. V.,  Ghazali, A. N., Appasani, B., and Mohanta, D. K., (2021) Risk Identification and Risk Assessment of Communication Networks in Smart Grid Cyber-Physical System in Lecturer Notes in Security in Cyber-Physical Systems (Studies in Systems, Decision and Control),  Awad A.I., Furnell S., Paprzycki M., Sharma S.K(eds),  Springer, Cham,  Vol. 339.

Abstract—This chapter identifies different risks in designing the communication networks for various applications in the smart grid cyber-physical system (SGCPS) and proposes the methodologies for risk assessment and risk mitigation. A systematic approach is presented to identify the risk factors pertaining to the design of communication networks for various SGCPS applications such as synchrophasor application, advanced metering application, and electric vehicular application. Further, risk assessment strategies for these SGCPS applications are formulated with detailed discussion. To elucidate the work, a case study in each of these applications of SGCPS have been presented in this chapter.

Keywords—Smart grid Cyber-physical system,  Communication network,  Risk assessment Reliability,  Case study of SGCPS,  AMI Electric vehicular

  1. Anand, G., Basak, C., Anand, R., Sahoo, S., and Nanda, S. (2021),

 Estimation of Fault Voltages in Hybrid Renewable Energy Systems in Lecturer Notes in Renewable Energy–Based Micro grid, Sahoo, U. (Ed.), Wiley Online Library, pp. 199–212.

ABSTRACT: Renewable sources of energy nowadays are the leading technologies in almost every field of application. So in order to shift the major part of our day‐to‐day loads from fossil fuels to renewable sources we need to use renewable sources efficiently and extract the best possible energy available with them. But using renewable energy sources has its own challenges like variation in power generation results in various kinds of disturbances, such as variation in power output, variation in frequency, and sag and swell fluctuation etc. resulting in peaks and troughs. This chapter presents a simple approach and its implementation for the estimation of fundamental, harmonic phasor and frequency of time varying current and voltage signals using a modified Taylor‐based RLS learning algorithm.

Keywords: Taylor‐recursive least square (TRLS), phasor estimation, renewable energy, smart grid, microgrid, phasor measurement unit

  1. Swayamsiddha S., (2021), Performance Comparison of Variants of Hybrid FLANN-DE for Intelligent Nonlinear Dynamic System Identification in Advances in Intelligent Systems and Computing, Panigrahi, C. R., Pati. B., Mohapatra, P., Buyyar, R., and Li, K. C. (Eds.), Lecturer Notes in Progress in Advanced Computing and Intelligent Engineering Vol. 1198. Springer, Singapore, pp. 137–147.

ABSTRACT: This work presents the performance comparison of different variants of hybrid Functional Linked Artificial Neural Network (FLANN) structures and Differential Evolution (DE) algorithm (FLANN-DE) for intelligent nonlinear dynamic system identification. The identification problem involves the construction of an estimated model which generates the output which matches that of desired system output when subjected to the same input signal. In this present work, hybrid FLANN-DE is proposed for direct modelling of nonlinear dynamic systems and comparative analysis is carried out for different variants of FLANN structures such as Chebyshev FLANN (CFLANN), Legendre FLANN (LFLANN) and Trigonometric FLANN (TFLANN) in terms of performance, the speed of computation and accuracy of results.

Keywords: Functional Linked Artificial Neural Network (FLANN), Differential Evolution (DE), System Identification, Mean Square Error, Convergence Rate 

  1. Das, J. K.,, Patra, P. K., and Chowdhury, J. (2021),  ADC and DAC for Biomedical Application in Lecturer Notes in Electronic Devices, Circuits, and Systems for Biomedical Applications, Tripathi, S. L., Balas, V. E., Mohapatra, S. K., and Prakash, K. B.,  Nayak,J.(Eds.),Academic Press, pp. 197–228.

ABSTRACT: In the present era, there is tremendous need for digitization of medical data, which are collected from animals and human beings, etc. For this purpose, the collected samples are converted into digital format for proper analog-to-digital converters (ADCs). After the required preprocessing, these can be used, and for analysis, these data are again converted back into readable format using suitable digital-to-analog converters (DACs). In medical electronics, suitable sensors are used for data acquisition, and much attention is directed toward biomedical sensors integrated with a suitable data converter architecture. This chapter will give brief emphasis on the coding and quantizing, data converter parameters, ADC and DAC architecture, and a few applications of ADC and DAC in biomedical.

Keywords: ADC; Architecture; Biomedical application; DAC; Medical tools; Sampling