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India's Consumer Protection Bill 2015: Redefining notions of liability
The legislative validation of the concepts of product liability and unfair contractual terms through the Consumer Protection Bill (CPB) paves the way for attuning Indian consumer laws with the global wavelength. Though the Indian judiciary has dealt with issues concerning product liability and unfair contractual terms, legal certainty has remained elusive, necessitating predictability. The extension of consumer protection to the domain of e-commerce further reformulates the existing notion of liability and the prevalent impunity. This paper analyses the manner in which the CPB redefines the notions of liability and the existent lacunae that need to be remedied. The Author 2017. Published by Oxford University Press. All rights reserved. -
Exact solution of non-coaxial rotating and non-linear convective flow of cual2 o3 h2 o hybrid nanofluids over an infinite vertical plate subjected to heat source and radiative heat
This paper investigates the non-linear convective flow due to non-coaxial rotation of vertical planar plate by utilizing three different liquids namely H2 O (water), Al2 O3 H2 O (nanofluid) and CuAl2 O3 H2 O (hybrid nanofluid). The impacts of Rosselands radiative heat and internal heat generation are also included in this study. The non-coaxial rotation of the plate crafts sine or cosine oscillations in its plane and the liquid at infinity. The density-temperature relation is studied which is nonlinear and causes a nonlinear convective heat transfer. The dynamic viscosity, thermal conductivity, density and specific heat of hybrid-nanofluids are assumed to vary with the volume fraction. These thermophysical properties of hybrid and nanofluids are determined by phenomenological laws and mixture theory. The simulation of the flow was carried out using the appropriate values of the empirical shape factor for five different particle shapes (i.e., sphere, hexahedron, tetrahedron, column and lamina). The LTM (Laplace Transform Technique) is employed to find the exact solutions. The flow, skin friction and thermal features are scrutinized with the discrepancy of governing parameters. The effective fluid properties and the Nusselt number are also calculated for sixteen different hybrid-nano-liquids. 2019 by American Scientific Publishers All rights reserved. -
Design and Implementation of Smart Manufacturing Systems Through AR for Data-Driven Digital Twin System
Modification of size, residual stress, and surface roughness have an enormous impact on a complex mechanical products final machining quality. Machine quality can be ensured using Digital Twin (DT) technology by checking the real-time machining process. The virtualreal separation display method is the most modern DT System (DTS). It results in the ineffective transmission of the necessary restricting the use of the DTS by processing data on-site technicians to support field processing. Augmented Reality (AR) monitoring the manufacturing process approach to solve this problem is proposed based on the DT. First, the dynamic multi-view for AR is built using data from multiple sources. Second, real-time monitoring of complex products intermediate processes incorporates AR to encourage communication between the users of the DT machining system. The outcome of the system can prevent errors that cannot be fixed. An application case for observing will be used to confirm the viability and the efficacy of the proposed method. 2023, The Author(s), under exclusive licence to Springer Nature Singapore Pte Ltd. -
ML Algorithms and Their Approach on COVID-19 Data Analysis
This chapter begins with characterizing Supervised Learning and Unsupervised learning and investigates Machine Learning algorithms in every one of the sub domains of Regression, Classification, Clustering, and so forth. It also talks about the engineering of calculations like Linear Regression, Logistic Regression, K-Means, K Nearest Neighbors, Hierarchical, DB Scan, Decision Tree, Random Forest Regression, and Random Forest classifier. Utilization of every algorithm to investigate the dataset will be displayed by carrying out it on renowned dataset model, and output of each piece of code is displayed with their preview. This section likewise takes care of the issue of predicting the future number of COVID-19 cases and the precision behind each model or algorithm is shown and investigated utilizing different measurements dependent on situation or issue articulation, for example, either issue is on forecast or order. This chapter does not focus on the solution of COVID-19 data analysis or expectation, rather it will be followed and will task different models dependent on need with conclusive target being clear comprehension of the Machine Learning algorithms and its execution in Python. 2023 Scrivener Publishing LLC. -
Depiction ofNifty Midcap Index Efficiency Using ARIMA
In recent years, the desirability of midcaps in Indian stock markets has received considerable attention from researchers, academicians, and financial analysts due to expectation of multi-bagger returns. The present study is undertaken to determine the market efficiency of Indian stock market using Nifty Midcap Index at High Frequency. The market efficiency of Nifty Midcap Index is determined using ARIMA technique. The fitted ARIMA model had a MASE value close to one. Hence, the findings suggest that the Nifty Midcap Index is inefficient. The Author(s), under exclusive license to Springer Nature Singapore Pte Ltd. 2024. -
Digitization of Monuments An Impact on the Tourist Experience with Special Reference to Hampi
The cultural heritage of India offers a deep examination of the country's political and historical evolution. Historical structures and monuments are among a nation's most valuable assets and a source of pride for Indian civilization. Monuments hold significant historical importance and exert a profound emotional influence on the community. Given the deterioration of culturally significant heritage monuments caused by factors such as weather, climate change, and human activity, as well as the threats these elements pose to numerous heritage sites of national and international significance, it is imperative to prioritize the recording, preservation, and conservation of these monuments. Events of cultural significance require comprehensive digital documentation and proper recording. As demonstrated by various programs and initiatives led by Prime Minister Narendra Modi, the government is committed to enhancing the visitor experience at monuments and museums. The primary aim of the current study is to better understand how cultural heritage sites are digitized and to assess the implications of this process for enhancing the tourist experience. To address the research objectives, a survey was conducted to analyze digital requirements. The digitization of significant cultural heritage sites is vital for the long-term sustainability of the tourism industry. Many methods will be adapted as resources permit, ensuring the industry's steady growth over time. The Author(s), under exclusive license to Springer Nature Singapore Pte Ltd. 2025. -
Effect of tungsten oxide thin films deposited on cerium oxide nano rods for electrochromic applications
Cerium oxide Nanorods were synthesized on Fluorine-doped Tin Oxide (FTO) coated glass substrate by hydrothermal process. Optimized Tungsten Oxide (WO3) films were coated on the top of cerium oxide (CeO2) Nanorods by a sputter deposition method. WO3 thin film was deposited at a constant substrate temperature of 300K under partial pressures of oxygen (ppo2) at 8 10?4 mbar. X-ray Diffraction (XRD), Scanning Electron Microscope (SEM), UVVisible spectrometer, and cyclic voltammetry were used to analyse the films for material, optical, surface, and electrochemical properties. The improved CeO2/WO3 films increased the cathodic peak current which is related to their high active surface area and increased H+ ions intercalation in the films. In addition, the CeO2 Nanorods/WO3 hybrid films had a better electrochemical property in terms of the diffusion coefficient of 5.53 10?8 cm2/s. These structures produce considerable coloration efficiency when compared to pure WO3 (9.88, 10.19 and, 8.14 cm2/C at 700 nm). This study predicts that how varying concentrations of cerium oxide Nano rods change WO3 electrochemical behaviour which will help to choose the right rare earth elements and concentrations for energy-efficient smart windows. 2022 -
Synthesis, characterizations, and electrochromic studies of WO3 coated CeO2 nanorod thin films for smart window applications
In this work, Cerium oxide nanorods were synthesized on Fluorine doped Tin oxide (FTO) substrate by a hydrothermal technique involving Ce(NO3)36H2O (Cerium Nitrate Hexahydrate) and CH4N2O (Urea). The DC magnetron sputtering was used to deposit a thin layer of WO3 on Cerium Oxide nanorods in the presence of argon gas at room temperature. With the prepared CeO2/WO3 thin films as the working electrode, saturated AgCl2 as the reference electrode, and platinum mesh as the counter electrode, a three-electrode electrochemical cell was developed with 0.5 M H2SO4 solution diluted in deionized (DI) water as the electrolyte. The electrochromic studies displayed a coloration efficiency of 10.14 cm2/C for 0.1 M film. SEM, UVVisible, XRD, and electrochemical analyzer were used to investigate the surface morphology, optical properties, composition, and electrochromic performance of the prepared thin films. A combination of CeO2 nanorods and WO3 coating has been proved to be a potential material for Electro Chromic Devices (ECD), because of its large charge capacity and optical transmission behavior. 2022 Elsevier B.V. -
The Illiberal turn in Indian democracy: shifting the trajectory of Indias foreign policy
Long-standing democracies such as India were not exempt from the global trend of democratic retreat. India has come under increasing international attention due to certain domestic policies such as the revocation of Article 370 of the Indian Constitution, the National Register of Citizens and Citizenship (Amendment) Act passed under the Bharatiya Janata Party government. In addition to Indias democratic decline being reflected in global democratic rankings, this has induced strains on Indias foreign relations. In its pursuit of becoming a leading power, Indias perceived democratic backsliding is likely to influence the direction of its foreign policy. To discern the impact of its perceived illiberal turn on its foreign engagement, the role of democracy in Indias foreign policy needs to be explored. While attempts have been made to understand democratic backsliding through a theoretical lens, the impact of a nations democratic status on its foreign relations and policy remains a largely unexplored area. 2023 Taylor & Francis. -
Enhancing cybersecurity with distributed models and sparse mixture of experts
[No abstract available] -
Digitization of Monuments An Impact on the Tourist Experience with Special Reference to Hampi
The cultural heritage of India offers a deep examination of the country's political and historical evolution. Historical structures and monuments are among a nation's most valuable assets and a source of pride for Indian civilization. Monuments hold significant historical importance and exert a profound emotional influence on the community. Given the deterioration of culturally significant heritage monuments caused by factors such as weather, climate change, and human activity, as well as the threats these elements pose to numerous heritage sites of national and international significance, it is imperative to prioritize the recording, preservation, and conservation of these monuments. Events of cultural significance require comprehensive digital documentation and proper recording. As demonstrated by various programs and initiatives led by Prime Minister Narendra Modi, the government is committed to enhancing the visitor experience at monuments and museums. The primary aim of the current study is to better understand how cultural heritage sites are digitized and to assess the implications of this process for enhancing the tourist experience. To address the research objectives, a survey was conducted to analyze digital requirements. The digitization of significant cultural heritage sites is vital for the long-term sustainability of the tourism industry. Many methods will be adapted as resources permit, ensuring the industry's steady growth over time. The Author(s), under exclusive license to Springer Nature Singapore Pte Ltd. 2025. -
AI-driven service marketing in accessible tourism: Digitizing hampi for all
This book chapter, which focuses on the historic site of Hampi, India, investigates how artificial intelligence (AI) might be included into service marketing to improve accessible tourism. Hampi presents special accessibility issues because it is a UNESCO World Heritage Site, especially for those with impairments. In addition to introducing AI-driven technologies like machine learning, natural language processing, and augmented reality and discussing how they might be used to enhance tourist experiences at Hampi, the chapter also examines current trends and difficulties in accessible tourism. A focus on personalized service delivery, increased tourist engagement, and inclusivity, case studies and examples from international practices demonstrate effective AI implementations in accessible tourism. In the end, this chapter offers perspectives and suggestions for utilizing AI-driven service marketing to promote universal accessibility and digitize Hampi, improving visitors' encounters with the local cultural heritage. 2025, IGI Global Scientific Publishing. -
Price Minds: AI-Driven Insights, Recommendations and Dynamic Pricing
This research aims to enhance e-commerce systems by leveraging customer behavior analysis, dynamic pricing, and personalized recommendations. With the increasing demand for tailored shopping experiences and competitive pricing, businesses require adaptive solutions. The study integrates synthetic and real-time customer data to identify purchasing patterns and segment customers effectively. Dynamic pricing strategies are applied to optimize revenue while maintaining customer satisfaction. A unified framework combines clustering techniques, real-time data streams, and decision-making models to deliver actionable insights for business operations. The proposed system dynamically adjusts pricing and recommends products based on individual customer preferences and behavior. The approach addresses the growing need for intelligent systems that adapt to market trends and consumer demands. Results demonstrate improved operational efficiency, better customer engagement, and enhanced profitability. This work highlights the importance of real-time analytics and intelligent pricing mechanisms in advancing e-commerce and creating competitive advantages in rapidly evolving markets. 2025 IEEE. -
Structural investigation of higher order members of bismuth system superconductors
Structural formation of higher order Bismuth superconducting compounds Bi1.65Pb0.35Sr2Ca4Cu5Oy (2245) phase and Bi1.65Pb0.35Sr2Ca8Cu9Oy(2289) phase were investigated. The samples were synthesized by solid state reaction technique. Morphological and micro-structural features of the synthesized samples were analysed by X-ray diffraction (XRD), scanning electron microscopy (SEM) and energy dispersive X-ray analysis (EDAX). The XRD of both the samples revealed the presence of Bismuth - (2212)& (2223) phases of which (2223) phase was found to be the predominant. The average grain size was found to be around 65 nm. Traces of Ca2PbO4 was also noticed when the samples were synthesised at 835 C. Superconducting transition temperature (TC) of the samples measured by self-inductance method, showed a two-step transition, one around 110 K and the other around 90 Kindicating the presence of (2223)&(2212) phases respectively. But the TC value observed for (2212) phase is about 10 K more than the expected value of 80 K. There was no signature of the formation of (2245) or (2289) phases in this synthesis. -
Investigation of structural formation of starting composition 2245 in the Bi-Pb-Sr-Ca-Cu-O system superconductors /
Journal of Solid State Physics, Vol.2014, pp.127-133, ISSN No: 2356-7643 (Print), 2314-6842 (Online). -
Harary Spectra and Energy of Certain Classes of Graphs
Aims: To investigate the H-eigenvalues and H-energy of various types of graphs, including k-fold graphs, strong k-fold graphs, and extended bipartite double graphs and establish relationships between the H-energy of k-fold and strong k-fold graphs and the H-energy of the original graph G, we explore the connection between the H-energy of extended bipartite double graphs and their ordinary energy and find the graphs that share equienergetic properties with respect to both the ordinary and Harary matrices. Background: The H-eigenvalues of a graph G are the eigenvalues of its Harary matrix H(G). The H-energy {Formula Presented} of a graph, G is the sum of the absolute values of its H-eigenvalues. Two connected graphs are said to be H-equienergetic if they have equal H-energies. They are said to A-equienergetic if they have equal A-energies. Adjacency and Harary matrices have applications in chemistry, such as finding total electron energy, quantitative structure-property relationship (QSPR), etc. Objectives: We determined the H-spectra of k-fold graphs, strong k-fold graphs and extended bipartite double graphs and established connections between the H-energy of different types of graphs and their original graph G for investigating the relationship between the H-energy of extended bipartite double graphs and their ordinary energy and the graphs that share equienergetic properties with respect to both the adjacency and Harary matrices. Methods: Spectral algebraic techniques are used to calculate the H-eigenvalues and H-energy for each type of graph and compare the H-energies of different graphs to identify the equienergetic properties and derive relationships between the H-energy of extended double cover graphs and their ordinary energy. Results: We determined the H-spectra of k-fold graphs, strong k-fold graphs and extended bipartite double graphs and established relationships between the H-energy of k-fold and strong k-fold graphs and the H-energy of the original graph G. Then, we explored the connection between the H-energy of extended bipartite double graphs and their ordinary energy and presented graphs demonstrating equienergetic properties concerning both adjacency and Harary matrices. Conclusion: The study provides insights into the H-eigenvalues, H-energy and equienergetic properties of various types of graphs. The established relationships and connections contribute to a deeper understanding of graph spectra and energy properties and the findings enhance the theoretical framework for analyzing equienergetic graphs and their spectral properties. Scope: Possible extensions of this research could include investigating additional types of graphs and exploring further explicit connections between different graph energies and spectral properties. Harary matrices are distance-based matrices, which can model distances between atoms in molecular structures and could be useful in organic synthesis to predict how molecular structures behave. 2025, Bentham Science Publishers -
The asymmetric relationship between foreign direct investment, oil prices and carbon emissions: evidence from Gulf Cooperative Council economies
We investigate the asymmetric nonlinear link between foreign direct investment, oil prices, and CO2 emissions for the Gulf Cooperation Council nations, using foreign direct investment and oil price data. As foreign direct investment is positively associated with carbon emissions in the long run and oil prices have positive, significant effects on CO2 emissions, our findings support the pollution-haven hypothesis. Furthermore, these variables have an asymmetric nonlinear relationship, which corresponds to the theoretical expectations of the pollution-haven hypothesis. We also find that negative changes in foreign direct investment have positive, significant impacts on carbon emissions in the short run, implying that foreign enterprises utilize green technologies in their manufacturing processes in the short run. In the long run, however, negative changes in oil prices are positively associated with carbon emissions. These findings should help Gulf Cooperation Council economies focus on policies that encourage foreign direct investment in green rather than dirty industries in order to ensure environmental sustainability. 2022 The Author(s). This open access article is distributed under a Creative Commons Attribution (CC-BY) 4.0 license. -
KMetaTagger: A Knowledge Centric Metadata Driven Hybrid Tag Recommendation Model Encompassing Machine Intelligence
The emergence of Web 3.0 has left very few tag recommendation structures compliant with its complex structure. There is a critical need for newer novel methods with improved accuracy and reduced complexity for tag recommendation, which complies with the Web 3.0 standard. In this paper, we propose KMetaTagger, a knowledge-centric metadata-driven hybrid tag recommendation framework. We consider the CISI dataset as the input, from which we identify the most informative terms by applying the Term Frequency - Inverse Document Frequency (TF-IDF) model. Topic modeling is done by Latent Semantic Indexing (LSI). A heterogeneous information network is formalized. Apart from this, the Metadata generation quantifies the exponential aggregation of real-world knowledge and is classified using Gated recurrent units(GRU). The Color Harmony algorithm filters out the initial feasible solutions into optimal solutions. This advanced solution set is finalized into the tag space. These tags are recommended along with the document keywords. When the suggested KMetaTagger's performance is compared to that of baseline techniques and models, it is found to be far superior. 2023, The Author(s), under exclusive license to Springer Nature Switzerland AG. -
Gender diversity and organizational performance: A study of IT industries in Bangalore
Humans are considered to be different from each other with their acumen and intelligence. The working condition in IT sector has changed over the past few decades. There has been a drastic increase in the number of female employees towards the development of IT sector over the past few years. Gender diversity is creating a wide range of awareness and helps understand the importance of gender identity. IT industry which is a dominant industry in India has reckoned gender diversity as a major tool to ensure it stands on criteria of being competent and innovative in the ever changing dynamic business environment. The main objective of this paper is to analyze the relationship between acceptance of gender diversity among the employees, diversity practices and programs adopted by the IT industries and barriers to the same. Limited Liability Company Consulting Publishing Company Business Perspectives, 2017.