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Smart Antenna for Home Automation Systems
A smart antenna for home automation systems is suggested in this design. An antenna is a device that minimizes human movements while dealing with electronics systems and software. This smart antenna helps reduce physically challenged peoples movement and supports home automation systems. The presented antennas could be used for any small device, like a mobile, tablet, laptop, Wi-Fi, or WiMAX, which are essential in the current scenario. The presented smart antenna is capable of radiating a large frequency band from 3 to 13.8 GHz, which covers the .5-7 GHz (5G(I) Sub-6 GHz band), Wimax 3.5 and 5.5 GHz bands, WLAN 5.2 and 5.8 GHz bands, C 4-8 GHz Band, X 8-12 GHz Band, and other home automation applications with high efficiency. The impedance bandwidth of the smart antenna is 128%, with a size of 15x15x1.5 mm3. The suggested design includes a modified patch in the shape of a square patch attached with one circular element fed by a microstrip line. Circular pieces have been designed for better resonances at lower modes. The antenna is simulated with an FR4 substrate using a CST Simulator. The design is investigated by simulations and corresponding S-parameter results are presented. The robotics process automation is well described in Table 7.3. The proposed structure also demonstrates stable radiation patterns across the operating bandwidth. The proposed radiator has a high gain of 5.21 dBi and an efficiency of 80%. 2023 Scrivener Publishing LLC. -
Design of Machine Learning Model for Health Care Index during COVID- 19
Predicting stock prices and index movement in the field of finance is always challenging. The events in the macro-economic framework affect the trends of the market and the COVID-19 pandemic was a major reason for the slowdown of the global economies in the short run. It was assumed that the healthcare industry has completely been transformed due to changing behavioral habits of individuals. The study presents the time series approach with the help of historical prices on the Bombay Stock Exchanges (BSE) Health Care Index, both in the long and short run, using the ARIMA model. The period of the study is from February 1999 to August 2020. The ARIMA equations are used to forecast the future price movement of the Health Care Index till December 2020. The findings reveal that the market will continue with the same volatility, and investors should give due attention to analysis and logical reasoning rather than following their feeling of overconfidence. 2024 Taylor & Francis Group, LLC. -
Economic Sustainability, Mindfulness, and Diversity in the Age of Artificial Intelligence and Machine Learning
The sustainability of artificial intelligence (Al) and machine learning (ML) requires human diversity and mindfulness. This chapter discusses the various ways in which AI and ML can interact with humans to improve society, e.g., in filing copyrights or design patents or increasing mindfulness. AI and ML could educate weavers and farmers about their legal rights, cultivation methods, banking processes, and the harmful effects of tobacco consumption and other health-related issues. AI and ML could help teach mindfulness. ML can measure additional biofeedback. Music, mathematics, and art may benefit from AI and machine learning. Human-technology relations and the blue-green deployment model can be used to maintain two independent infrastructures or duplicate feature stores. It is possible to cultivate mindfulness and an awareness of diversity and communal harmony through AI and machine learning, as AI and machine learning can infer the emotional and cognitive states of the people with whom they interact. By leveraging the entire process of visualization, reading, and listening with AI, machine learning, and beyond, the digital future has the potential to incorporate real-time emotions and feelings. This would entail emotional responses on both ends and a variety of other technologies and users. 2024 Taylor & Francis Group, LLC. -
DELHI: A NOVEL by Khushwant Singh
[No abstract available] -
Application and challenges of optimization in Internet of Things (IoT)
[No abstract available] -
Digital twin technologies for automated vehicles in smart healthcare systems
The idea of being comfortable seems appealing to a vast majority of people, from the start humans were always dependent on something. First the tools were invented and with the help of the tools, amazing things were built. From the invention of the wheel to the steam-powered machines and now the introduction of electronic automation, digitization and making intelligent production processes is the need for todays industry. Industry 4.0 is now the standard by which businesses must measure their progress. It enables businesses to reinvent themselves. Manufacturing systems go beyond simple connections here, communicating, analyzing, and using data to drive more intelligent activities. It combines Internet of Things (IoT), analytics, additive manufacturing, robots, artificial intelligence, sophisticated materials, and augmented reality. The autonomous vehicle (AV) is one of the applications of Industry 4.0. AVs can make passenger transfers more efficient. Furthermore, smart sensors, when combined with cognitive computing and IoT, portray an AV as a cyber-physical system where data from all relevant viewpoints is closely monitored and synced between physical devices and the cyber computational realm. By utilizing sophisticated information analytics, AVs will be able to work more effectively, collaboratively, and resiliently. As a result, AVs might be able to work with Industry 4.0 systems. 2023 Elsevier Inc. All rights reserved. -
Software Quality Prediction by CatBoost: Feed-Forward Neural Network in Software Engineering
Software quality is the key aspect of every software organization. Multiple frameworks and algorithms are essential to ensure quality. However, multiple software failures occur uninvited. There are multiple aspects that skew a softwares efficiency. Now the software quality analysis framework mostly focuses on design flaws and test plans done during development. To overcome this problem of software failure, this research proposes a prediction for software efficiency analysis in software engineering using enhanced feed-forward neural network machine learning classification with CatBoost. This research also evaluates the parameters of efficiency of each software component before implementation. This proposed work also analyses the basic aspects that need to be ensured before the design phase of any software. 2024 Taylor & Francis Group, LLC. -
Question-answering versus machine reading comprehension: Neural machine reading comprehension using transformer models
Teaching machines to read and learn natural language documents and seek answers to questions is an elusive task. Traditional question-answering systems were based on rule-based and keyword-searching algorithms without proper natural language understanding. Machine reading comprehension (MRC) belongs to reading comprehension models and facilitates the machines learning from context. MRC can infer the answer from the context through language understanding. Neural machine reading comprehension has built reading comprehension models by employing the advancements of deep neural networks that have shown unprecedented performance compared to other non-neural and feature-based models. The article comprises the MRC span extraction tasks using Transformer models and, in addition, the illustration of the MRC tasks, trends, modules, benchmarked datasets, implementation, and empirical results. 2024 selection and editorial matter, Muskan Garg, Sandeep Kumar and Abdul Khader Jilani Saudagar chapters. -
Decrypting Free Expression: AMMA-WCC Conflict and Comment Culture Rattling the Malayalam Film Industry
The chapter examines the gender-power dynamics in the Malayalam film industry through an analysis of a skit, a YouTube video and trolls related to a recent controversy involving the Association of Malayalam Movies Artistes (AMMA) and the Women in Cinema Collective (WCC). This analysis is supported by an exploration of the historical roots of sexism in the industry and a discussion about how it continues to perpetuate sexism in the industry. The study also investigates the emergence of WCC as a response to the actresss molestation case and the subsequent division within the industry. The research focuses on the Sthree Shaktheekaranam skit performed at AMMAs cultural show, a YouTube video, Oru Feminichi Kadha and a sample of trolls which targeted the WCC and women who refuse to comply with AMMAs patriarchal bias. The chapter analyses the content of these representations, highlighting the power play structuring them. The study sheds light on the contradictions and hypocrisy within the industry and its portrayal of progressive values while perpetuating regressive gender norms. 2024 selection and editorial matter, Francis Philip Barclay and Kaifia Ancer Laskar; individual chapters, the contributors. -
Analysis of a Fractional Stage-Structured Model With CrowleyMartin Type Functional Response by Lagrange Polynomial Based Method
The dynamics of a stage-structured predator-prey system that replicates interactions between two densities of prey and predator populations were investigated in this work. The adult predator population and the juvenile predator are the two compartments that make up the predator population in the model. The predator relies on both prey and juvenile predator, which is another element of the paradigm that can be termed cannibalism. CrowleyMartin type functional denotes the nature of the interaction between prey and adult predators, while Holling type-I functional response denotes the nature of contact between juvenile and adult predators. The concept of memory is introduced in the form of the Caputo fractional derivative to reflect the complicated dynamics of interaction among the species. As a result, the model is able to incorporate all relevant historical information about the occurrence, from its inception to the desired time, into its calculations. We have also investigated the boundedness and existence and uniqueness of solutions to the proposed model. The condition of existence and stability of various points of equilibrium are investigated. The numerical simulations are performed by using the Lagrange polynomial-based method which is novel in the field of mathematical biology. Simulations have been accomplished to examine the significance of parameters related to cannibalism, the conversion rate from prey to adult predator, harvesting of an adult predator, and growth rate of juvenile predators on the overall behavior of the system. The noteworthy performance of the fractional operator on the anticipated predator-prey models dynamical behavior is well demonstrated by numerical results. The Author(s), under exclusive license to Springer Nature Singapore Pte Ltd. 2023. -
Impact of COVID-19 on the Share Prices of Life Insurance Companies: A Case of Economic Sustainability in India
The outbreak of the novel Coronavirus (COVID-19) has caused many economic disruptions worldwide. In particular, the Indian insurance industry has been adversely affected due to the impact of the pandemic. Furthermore, this market volatility has caused a steep fall in the stock prices of life insurance companies in the country. The share prices of life insurance companies have been affected due to decreased demand and uncertain market conditions. This study has considered three life insurance scripts from NSE, namely SBI Life, HDFC Life, and ICICI PRU, for the period from April 2020 to July 2021; the data has been taken on a daily basis. The methodology adopted was one of moving average trading rules to ascertain the profitability of the rule. Market returns of life insurance companies are not satisfying for the investor. Due to the pandemic, the insurance sector has been one of the most hard-hit sectors due to claims and releases. Life insurance has performed poorly during the period of the study. According to the data, if an investor entered the market during that period, then their position would have been stable, but investors holding the stock would have suffered a huge loss during this period. Investors need to wait for better opportunities post COVID-19. 2024 selection and editorial matter, Shalini Singh, Bhavna Sharma, and Garima Madaan Dua. -
RAO, R. RAJ (1955-)
[No abstract available] -
Mechanical and Wear Behavior of Halloysite Nanotubes Filled Silk/Basalt Hybrid Composites Using Response Surface Methodology
The aim of this study is to develop bio-friendly light weight polymer nanocomposites for load bearing applications and to evaluate the influence of halloysite nanotubes (HNTs) on mechanical as well as wear behavior of silk fiber (SF) and basalt fiber (BF) reinforced epoxy (Ep) composites. HNT filled biocomposites were fabricated using vacuum bagging technique. The Box-Behnken design (BBD) of experiment with Response surface methodology (RSM) was used to conduct the dry-sliding wear tests on a pin on disc apparatus. Tribo-mechanical properties and worn surface micrographs of hybrid composite samples were analyzed. Hardness, tensile strength and wear resistance behavior of SF + BF/Ep hybrid composites were substantially improved with the incorporation of HNTs. It was observed from the confirmation test that there is a strong agreement between the experimental findings as well as the predicted values, with a minimum reported error of <5% for HNT-SF + BF/Ep hybrid nanocomposites. SEM micrographs of the worn-out surface of HNT filled SF + BF/Ep composite exhibited fiber breakage, pulverized matrix, good interfacial bonding and fractured fibers. The novelty of the current research work is the development of eco-friendly polymeric composites for wear resistant and structural applications. The effect of hybridization (fiberssilk and basalt, fillersHNTs) on the tribo-mechanical properties of polymeric composites were investigated for the first time. The study showed that the mechanical as well as the tribological properties of SF and BF reinforced epoxy composites were enhanced with the addition of nanofiller. The Author(s), under exclusive license to Springer Nature Singapore Pte Ltd. 2023. -
Kingship and Vedic Literature: Inflections, Deflections and Reflections
This chapter seeks to examine the figurations and configurations of 'kingship' reflected in different Vedic literary narratives in general and particularly aims at foregrounding how 'kingship' that happens to be one of the oldest forms of political governance, originated in Vedic times and how it became multifaceted with the passage of time. This chapter particularly seeks to employ three epistemological lenses - govern(mentality), sacral (infra)structuralism and planetarity - to lay down how the Vedic notion of 'kingship' underwent 'intensive' changes and how it stood in conformity with varied dimensions of contemporary political ecology. Besides that, this chapter aims at bringing out how Vedic notion of 'kingship' embodies the limits of 'human' by means of performing a liaison between the Almighty and ordinary human beings. Finally, at the end, royal haecceities of Vedic 'kingship' are critically taken up to facilitate readers to grasp the ontological and onticological fluidity of Vedic understanding of 'kingship'. 2024 selection and editorial matter, Nizar Zouidi; individual chapters, the contributors. -
Phytochemicals for neurodegeneration and neuroinflammation: medicine of the future or a mirage?
Dietary polyphenols cease to be mere nutrients but have immense health enhancing and disease modifying effects. Phytochemical-based therapeutic approaches for neurodegenerative diseases are becoming increasingly popular. This may be attributed to the lack of long-term benefits or adverse effects of current pharmacotherapy. Polyphenols target multiple pathways and their long-term use could prove beneficial for diseases involving multiple etiological factors. While polyphenols are nontoxic and oral route is the preferred mode of administration, bioavailability in the brain is limited rendering the neuroprotective efficacy questionable. Methods employing synthetic biopolymers, nanoformulations, liposomal carriers, or conjugation have been explored to enhance the bioavailability. While results have been promising in experimental models, translation to human neurodegenerative conditions is limited. It can therefore be surmised that the present knowledge on dietary polyphenols is only the tip of the iceberg and extensive translational research is warranted to fill the gap for their therapeutic use. 2023 Elsevier Inc. All rights reserved. -
The Men and the Media
This chapter examines the significant transformations of the representations of lead male characters in Bollywood cinema post-2000 from the perspective of contemporary gender and cultural theories. The objective of the study is to gain an insight into the relationship between capitalism and masculinities; sports and masculinities; patriarchy and masculinities; the reversal of the male gaze into the female gaze, and how all these have contributed ultimately to the emergence of a new order of masculinity at the turn of the new millennium. Towards the end, the reader is invited to understand the entanglement of capitalism, sports and patriarchy in forming a kind of homosocial male bonding and how media has played a significant role in constructing it through a study of selected films. Masculinities and their consumerist connotations, which vary according to post-liberal economic and cultural contexts, have also been investigated in this study. 2024 selection and editorial matter, Francis Philip Barclay and Kaifia Ancer Laskar; individual chapters, the contributors. -
EM AND THE BIG HOOM by Jerry Pinto
[No abstract available] -
Bioactive Compounds and Biological Activities of Taro (Colocasia esculenta (L.). Schott)
Plants are said to be the finest source of food and phytochemicals. Along with aerial plant components, subterranean tuberous, stems, and roots were often consumed for their phytochemical and nutritional worth. Colocasia esculenta (L.). Schott is an essential plant that is utilized for its nutritional and phytochemical properties. It is commonly called taro, which is very rich in plant secondary metabolites and their respective pharmacological properties. Taro is consumed by people worldwide and serves as a staple food in Asian and African countries, leading to its abundant production. Extensive studies has explored the nutritional composition of taro, which has been identified as a promising source of dietary fiber. Moreover, taro exhibits a wealth of minerals and phytochemicals, including phenols, flavonoids, and various derivatives, which contribute to its diverse pharmacological activities, such as antioxidant, antimicrobial, antidiabetic, antiinflammatory, and anticancer effects. This chapter provides a comprehensive overview of taro, encompassing its nutritional profile, phytochemistry, and numerous pharmacological properties. Additionally, it addresses the important aspects of biosafety in relation to taro consumption and highlights potential prospects for sustainable production of this remarkable tuber crop. Springer Nature Switzerland AG 2023. -
THAYIL, JEET (1959-)
[No abstract available] -
Conclusion
[No abstract available]