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Value-based teaching English language and literature
Aim. The ultimate aim became the realisation of the political ideas of democracy, equality, and social justice (Orlenius, 2001; Svingby, 1994, p. 57). The current study aimed to explore the concept of value education at Poornaprajna institutions that have adopted value education in their curriculum. Methods. The study was designed in a qualitative exploratory research approach. The researcher had adopted the interviews for a case study as a microscopic social study through observation and also studied the archival records in Poornaprajna institutions. The informal group interviews were administered as part of a qualitative research approach, which aimed to collect data from twenty eight English teachers and students of Poornaprajna institutions. Result. The validity and trustworthiness of the study were established by adopting Miles and Hubemans formula, which amounted to 0.91. The exploration and findings revealed the need and implication of value education in the present scenario. Further-more, the data analysis revealed that value education is a process that begins at home and continues in society, and further, it continues in formal educational institutions. Conclusion. The study envisions that the educational institutions must integrate the curriculum with value education so that students cultural worlds, meanings they attribute to behaviour, events which essentially lead to the developmental process of the society. The National Education Policy 2020, aims to universalise education in India by 2025; it also aims at inter-and multidisciplinary approaches in Indian education. The pre-sent study juxtaposes an interdisciplinary approach to English and value education. 2021, Pro Scientia Publica Foundation. All rights reserved. -
Financial Big Data Analysis Using Anti-tampering Blockchain-Based Deep Learning
This study recommends using blockchains to track and verify data in financial service chains. The financial industry may increase its core competitiveness and value by using a deep learning-based blockchain network to improve financial transaction security and capital flow stability. Future trading processes will benefit from blockchain knowledge. In this paper, we develop a blockchain model with a deep learning framework to prevent tampering with distributed databases by considering the limitations of current supply-chain finance research methodologies. The proposed model had 90.2% accuracy, 89.6% precision, 91.8% recall, 90.5% F1 Score, and 29% MAPE. Choosing distributed data properties and minimizing the process can improve accuracy. Using code merging and monitoring encryption, critical blockchain data can be obtained. 2023, The Author(s), under exclusive license to Springer Nature Switzerland AG. -
Dynamic Behaviour Analysis of Multi-Cell Battery Packs: A Simulation Study
In the era of IoT understanding the dynamic behavior of a Lithium-ion Battery Management System (BMS) has become gradually more important. This research investigates the dynamic behaviour of a six-cell Lithium-ion Battery Management System (BMS) through simulation. The study employs a comprehensive model encompassing key battery parameters, including cell capacity, voltage limits, temperature thresholds, and charge/discharge characteristics. Additionally, state variables such as State of Charge (SOC), State of Health, and State of Function are integrated to capture the battery's internal dynamics. The simulation incorporates a sinusoidal current profile to emulate realistic operating conditions. Notably, Coulomb counting is employed for SOC estimation, and protective measures against overvoltage, undervoltage, and overcurrent are implemented. The study also addresses balancing strategies and communication interfaces within the BMS. The results reveal nuanced interactions between voltage, temperature, SOC, and current, offering insights into the intricate behaviour of the battery system under dynamic conditions. This research not only advances our understanding of BMS functionality but also lays a crucial foundation for the evolution of battery technology and energy management systems in the IoT landscape. The Institution of Engineering & Technology 2023. -
Implementation and Investigation of an Optimal Full Adder Design for Low Power and Reduced Delay Conditions
Full adder is one of the important components in electronics, used for various fundamental processing algorithms such as addition and multiplication. The application of these full adders is included in but not limited to Very Large-Scale Integration (VLSI) and Digital Signal Processing (DSP). To provide scalability and reliability to the advanced algorithms for high-end applications, the designing system of full adder should be enhanced. So, in this paper, we intended to improve the efficiency of a full adder circuit to work under low power and delay conditions. The software we used in this project is MENTOR GRAPHICS using 180nm technology. The efficiency of the proposed transistor design is evaluated by analysing the power consumption, delay, PDP, capacitor load, delay w.r.t capacitance and PDP w.r.t capacitance. The parameters are compared between our proposed design and the literature schemes such as OLPFAD, DFEFA, DTLPCFA, and DPEHFA, respectively. It is evident that our proposed design outperforms the other. 2022, The Author(s), under exclusive licence to Springer Science+Business Media, LLC, part of Springer Nature. -
Review On Image based Coffee Bean Quality Classification: Machine Learning Approach
Specialty coffee's demand is growing worldwide as coffee drinkers continue to look for the freshest and highest-quality flavors. Depending upon the quality, there are two categories in the coffee industry, that is specialty coffee and commodity/commercial coffee. Coffee beans are graded via visual inspection and cupping. A 300g sample of green coffee beans is used for visual assessment, and faulty beans are counted. As per the 'Specialty Coffee Association of America' (SCAA), defect can be either primary or secondary. For a coffee to be a specialty, it should have less than 5 secondary defects and zero primary defects. In this survey we have presented the coffee bean quality-related research which includes various machine learning approaches in classifying the coffee beans. The study has achieved quite promising prediction accuracies and was evaluated with test data. We have done a study on coffee bean quality classification and are willing to contribute an arabica coffee bean dataset and detection of coffee bean quality using transfer learning with higher accuracy. 2022 IEEE. -
Arabica Coffee Bean Grading into Specialty and Commodity Type Based on Quality Using Visual Inspection
Expanding potential of coffee consumers to seek out the freshest and best flavors is a cause for the rise of specialty coffee inthe market. Specialty coffee is grown and harvestedmaintaining an emphasis on quality and clarity of flavor, whereas commodity coffee is harvested for caffeine content. Within those inclusive categories, arabica and robusta are the two types of main branches of coffee that weencounter in the coffee market. Specialty coffees differ significantly from conventional coffees in that they are cultivated at higher altitudes, can be traced, and are professionally processed after being harvested. The quality is constantly examined and understood at every stage, from growth to brewing. Green arabica quality is assessed by counting the defective beans present in the sample. These defects can be primary (Category I) or secondary (Category II). If the primary defects are null and less than five secondary defects, coffee is said to be a specialty.Prior research has been done on classifying the coffee species and differentiating good beans from bad beans. Our research involves the combination of machine learning like K-NN and deep learning convolutional neural networks for classifying specialty coffee from commodity type using computer vision. The Author(s), under exclusive license to Springer Nature Singapore Pte Ltd. 2024. -
Synthesis and characterization of Chitosan-CuO-MgO polymer nanocomposites
In the present work, we have synthesized Chitosan-CuO-MgO nanocomposites by incorporating CuO and MgO nanoparticles in chitosan matrix. Copper oxide and magnesium oxide nanoparticles synthesized by precipitation method were characterized by X-ray diffraction and the diffraction patterns confirmed the monoclinic and cubic crystalline structures of CuO and MgO nanoparticles respectively. Chitosan-CuO-MgO composite films were prepared using solution- cast method with different concentrations of CuO and MgO nanoparticles (15 - 50 wt % with respect to chitosan) and characterized by XRD, FTIR and UV-Vis spectroscopy. The X-ray diffraction pattern shows that the crystallinity of the chitosan composite increases with increase in nanoparticle concentration. FTIR spectra confirm the chemical interaction between chitosan and metal oxide nanoparticles (CuO and MgO). UV absorbance of chitosan nanocomposites were up to 17% better than pure chitosan, thus confirming its UV shielding properties. The mechanical and electrical properties of the prepared composites are in progress. 2018 Author(s). -
Role of women in food and agricultural development: Breaking barriers for sustainable growth
The role of women in food and agricultural development in India is vital as it has an essential impact on the country's agricultural development. Despite all the contributions, they often face major obstacles, such as limited access to resources such as land, credit, innovation, and technology, and addressing these barriers is important. In this chapter, the authors have examined areas and levels of farm women's participation, such as the crops they grow, post- harvest activities, the workload they carry, and, despite all the struggles, how the women are underestimated. Their contribution is not limited to crop cultivation but also includes dairy, poultry, fishing, aquaculture, and forestry such as the wood processing sector. Due to men moving towards urban areas for better jobs and quality of life, women in rural areas are pressured to work in the fields; due to this, agriculture is feminized, and women shoulder a heavier workload than men. The underrepresentation of women is also seen in the employment rate and the pay they receive during seasonal, non- seasonal, and part- time employment. 2024, IGI Global. All rights reserved. -
Nonlocal analysis of Rayleigh-type wave propagating in a gradient layered structure
The present article aims to study the propagation behavior of Rayleigh-type waves using the nonlocal theory of elasticity in a layered structure constituted of a gradient transversely isotropic stratum perfectly bonded with a gradient monoclinic substrate. At first a constitutive relation is established for the assumed layered structure. Thereafter in view of suitable boundary conditions dispersion relation for the propagation of Rayleigh-type wave is obtained by considering a complex quantity wavenumber. The obtained result well agrees with the classical result and therefore validates the present study. The phase velocities and the attenuation coefficient for the Rayleigh-type wave propagation are numerically computed for the materials CdSe and LiNbO3; and the same are illustrated graphically. A significant effect of the affecting parameters on the propagation and the attenuation curves are depicted against the wavenumber. Comparative analysis of the influence of these parameters on the propagation and attenuation of Rayleigh-type waves is marked distinctly which serves as a salient feature of the present study. The techniques utilised the present problem and the obtained results may find potential application in various aspects. 2023, The Author(s), under exclusive licence to SocietItaliana di Fisica and Springer-Verlag GmbH Germany, part of Springer Nature. -
Mapping of built-up area and change detection in bengaluru using semi-automatic classification
Built-up areas are ever-increasing in nature to cater to the growing population's needs due to the migration of people to urban areas. Indian cities are under stress due to unplanned developmental activities. Land use and the land cover pattern are critical to maintaining the balance of various resources. In this study, Spatio-temporal changes have been mapped from 1989 to 2022 for the Bengaluru urban region. Geospatial techniques have been adopted to map land use, land cover changes and urban growth. Passive remote sensing data sets, which are freely available, were used in this study. QGIS and ESRI's ArcGIS software packages analysed the satellite images. Vegetation indices such as the Normalised vegetation index (NDVI), Normalised Difference Water index (NDWI), and Normalised difference Built-up index (NDBI) have been used along with supervised and unsupervised classification techniques. Images were classified into water bodies, vegetation, built-up area and others. It has been observed that there is an increase in the built-up area decrease in vegetation and water bodies. As per this study, policymakers and society need to consider the conservation of natural resources and developmental activities for sustainable development. 2023 Author(s). -
Bed shear stress distribution across a meander path
Laboratory experimentation for bed shear stress distribution has been carried out in two sets of meandering channels. The channels have crossover angles of 110 and 60 constructed by sine-generated curves over a flume of 4 m width. Variations in bed roughness were studied for the meandering main channel. Bed shear stress distribution across a meandering length for the 110 and 60 channels was examined for different sinuosities and roughnesses. The boundary shear stress study illustrated the position of maximum shear along the apex section and across the meandering path. These variations were observed for different flow depths. A comparison of the bed shear among the three experimental channels was conducted, and the results were analyzed. 2024, IWA Publishing. All rights reserved. -
Examining how ERP-Enabled Supply Chain Integration Works within the Quadrants of the Four-Wheeler Industry
Enterprise Resource Planning (ERP) systems have become indispensable tools for managing complex supply chains in the automotive industry. This paper provides an in-depth examination of ERP-based supply chain integration within the four-wheeler automobile sector, focusing on its impact, challenges, and best practices. Through a comprehensive review of existing literature and case studies, we analyze the key components of ERP systems, their integration with supply chain processes, and the benefits they offer to automotive manufacturers. Additionally, we explore the role of ERP in enhancing operational efficiency, inventory management, demand forecasting, and customer satisfaction. Furthermore, we discuss the challenges associated with ERP implementation and provide recommendations for successful integration and optimization of ERP systems in the four-wheeler automobile industry. 2024 IEEE. -
Human rights and religion : Perspectives and retrospectives /
Asian Journal Of Research In Social Science & Humanities, Vol.6, Issue 1, pp.80-89, ISSN: 2249-7315. -
Bougainvillea glabra-mediated synthesis of Zr?O and chitosan-coated zirconium oxide nanoparticles: Multifunctional antibacterial and anticancer agents with enhanced biocompatibility
The effectiveness and safety of nanomaterials (NMs) are essential for their use in healthcare. This study focuses on creating NPs with multifunctional antibacterial and anticancer properties to combat bacterial infections and cancer disease more effectively than traditional antibiotics. This study investigates the synthesis of Zr3O and chitosan (ch) coated zirconium oxide nanoparticles (chZrO NPs) using Bougainvillea glabra (B. glabra) plant extract through a green, one-pot precipitation method. The synthesized NPs were analyzed using various techniques. Their antibacterial properties are attributed to the production of reactive oxygen species (ROS), influenced by their size, large surface area, oxygen vacancies, ion release, and diffusion capabilities. The chZrO NPs showed superior antibacterial activity compared to Zr3O and chitosan alone, with effective inhibition against both Gram-positive bacteria (S. aureus and B. subtilis) and Gram-negative bacteria (E. coli and P. aeruginosa). Additionally, anticancer studies of chZrO NPs demonstrated significant activity against colon cancer HCT116 cells with C50 values of 4.98 ?g/mL compared to chitosan and Zr3O with 9.62, 6.69 ?g/mL, while biocompatibility tests on L929 cells confirmed their safety showing 93 % cell viability compared to ch and Zr3O. These findings suggest that chZrO NPs are promising candidates for future use in clinical and healthcare applications. 2025 Elsevier B.V. -
Secure approach to sharing digitized medical data in a cloud environment
Without proper security mechanisms, medical records stored electronically can be accessed more easily than physical files. Patient health information is scattered throughout the hospital environment, including laboratories, pharmacies, and daily medical status reports. The electronic format of medical reports ensures that all information is available in a single place. However, it is difficult to store and manage large amounts of data. Dedicated servers and a data center are needed to store and manage patient data. However, self-managed data centers are expensive for hospitals. Storing data in a cloud is a cheaper alternative. The advantage of storing data in a cloud is that it can be retrieved anywhere and anytime using any device connected to the Internet. Therefore, doctors can easily access the medical history of a patient and diagnose diseases according to the context. It also helps prescribe the correct medicine to a patient in an appropriate way. The systematic storage of medical records could help reduce medical errors in hospitals. The challenge is to store medical records on a third-party cloud server while addressing privacy and security concerns. These servers are often semi-trusted. Thus, sensitive medical information must be protected. Open access to records and modifications performed on the information in those records may even cause patient fatalities. Patient-centric health-record security is a major concern. End-to-end file encryption before outsourcing data to a third-party cloud server ensures security. This paper presents a method that is a combination of the advanced encryption standard and the elliptical curve Diffie-Hellman method designed to increase the efficiency of medical record security for users. Comparisons of existing and proposed techniques are presented at the end of the article, with a focus on the analyzing the security approaches between the elliptic curve and secret-sharing methods. This study aims to provide a high level of security for patient health records. 2023 Xi'an Jiaotong University -
Secured Electronic Transactions Using Visual Encryption: An E-Commerce Instance
The developments in the information technology has led the modern world to rely on the internet for digital information. People around the world depend on the internet for every information from general information to sharing confidential data over the network. Technology has grown so wide that even all the transactions are happening through online platforms. Along with this, there has been a rise in the security threats of the user's confidential data which are shared by the users while buying goods online. To maintain the security there are many authentication techniques available today like OTP, CAPTCHA etc. These security measures taken till now have been adequate till the present day but over time the hackers would find out ways to attack. Data breaches and hacking of user data would increase day by day if preventive measures are not taken time to time. This project focuses on providing security to the user's confidential data with a two way authentication technique. The aim of the project is to include one more security level to the existing online transaction system. The visual cryptographic method is used along with the OTP generating system. 2018 IEEE. -
Development of high performance polymer composites by additive manufacturing
Additive manufacturing, often known as 3D printing, is a process that involves the manufacture of physical things in a manner that is similar to building them up layer by layer. As a result of its utilization of automated procedures to generate complicated three-dimensional forms, which are either difficult or impossible to produce using conventional methods, fused deposition modeling is a typical approach that uses heat to assist in the extrusion process. The term "high-performance polymer" refers to a group of polymer materials that are known to maintain their desirable mechanical, thermal, and chemical properties when subjected to harsh environments such as high temperatures, high pressures, and corrosive chemicals. This chapter starts off with a brief introduction of conductive and high-performance polymer composites, followed by a rundown of how these materials are utilized in the 3D printing process. 2023, IGI Global. All rights reserved. -
Mechanical and tribological properties of polymer composites developed by FDM
In the coming years, researchers and manufacturers will be more concerned with the demand for products that are easy to construct and can be rendered seamlessly, even at complicated geometries, with the touch of a button. These requirements will be met by the advent of additive manufacturing. This will serve as the catalyst for a revolution. Additive layer manufacturing (ALM), also known as additive manufacturing (AM) or more commonly referred to as 3D printing, is a modern fabrication technology that uses a variety of raw materials to produce items such as medical implants and aircraft wing components by printing layers of material based on 3D digital models. In this chapter, the authors provide a comprehensive overview of the mechanical and tribological behaviour of ceramic, metallic, and fiber-reinforced polymer composites that are made by a range of additive manufacturing (AM) techniques. These composites can be used in a variety of applications, including aerospace, automotive, and medical. 2023, IGI Global. All rights reserved. -
Dry Sliding Friction and Wear Performance of HVOF Sprayed WCCo Coatings Deposited on Aluminium Alloy
The tribological behaviour of WCCo Cermet coatings coated on Al6061 alloy was studied in this work. WCCo Cermet coatings have been coated with different thicknesses by changing the amount of the cobalt using HVOF (High velocity oxy fuel technique). The coatings produced have been subjected to microhardness, friction and wear testing. A disc and pin type machine has been used for assessing friction and wears characteristics. The influence on tribological performance of coating thickness and cobalt levels was examined and compared with aluminium alloy. WCCo coating enhanced hardness by 34% and 42% in 100 and 200 micron thicknesses respectively, compared to aluminium alloy. The wear rate and the coefficient of friction are decreased by 48 and 12%, respectively, compared to uncoated aluminium alloy. Both coatings and substrates increase their wear rate and friction coefficient (COF) with the increase in load and sliding speed. Scanning Electron and Confocal microscopy examinations of worn surfaces were carried out to evaluate coating wear processes. 2021, The Institution of Engineers (India). -
Studies on air jet erosion behavior of plasma-sprayed Cr2C3 coatings on Al6061 alloy
This study assesses the efficacy of plasma-sprayed Cr2C3 coatings on AA6061 aluminum alloy in reducing erosion at different angles (30, 60, and 90). The experimental setup involved maintaining a distance of 80 mm between the components, feeding the powder at a rate of 55 g/min, and applying a current density of 460 amps. Weight loss measurements and surface morphology analyses were performed using scanning electron and confocal microscopy. The findings suggest that the Cr2C3 coating significantly improves erosion resistance when compared to specimens without any coating. The erosion angle had a significant impact on the performance of the coating. The coating experienced the least weight loss at an angle of 30 (28.45 g), followed by increased losses at angles of 60 (30.34 g) and 90 (34.2 g). These findings emphasize the significance of the impact angle in determining the severity of material removal. 2024 The Authors