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Study on the growth of the ott platform during lockdown and its future scope
This research tries to review the growth of OTT platforms throughout the lockdown. It's vital to understand the extent of increase within the popularity of OTT platforms throughout lockdown to understand their future scope. It's evident that, since their launch, OTT platforms have solely discovered an upward curve in their usage, and because of the pandemic and lockdown there has been exponential increase in its popularity because of the modification in consumption patterns of individuals for diversion through numerous media platforms. This analysis conducted a survey and analyzed the opinions of individuals relating to OTT platforms, their consumption patterns, and its comparison with cinema to examine if OTT platforms were slowly taking on the foremost fashionable standard medium of diversion. It had been found that individuals used OTT over the other platforms outside of TV and YouTube to pass their time or for diversion. 2024, IGI Global. -
Data science: the Artificial Intelligence (AI) algorithms-inspired use cases
The data science field is growing fast with the faster maturity and stability of its implementation technologies. We had been fiddling with traditional data analytics methods. But now, with Artificial Intelligence (AI), it is possible to embark on predictive and prescriptive insights generation in time. There are several data science (DS) use cases emerging with the wider adoption and adaptation of AI technologies and tools. This chapter is dedicated to illustrate various AI-inspired use cases. The Institution of Engineering and Technology 2022. -
Machine Intelligence: Computer Vision and Natural Language Processing
Machines are being systematically empowered to be interactive and intelligent in their operations, offerings. and outputs. There are pioneering Artificial Intelligence (AI) technologies and tools. Machine and Deep Learning (ML/DL) algorithms, along with their enabling frameworks, libraries, and specialized accelerators, find particularly useful applications in computer and machine vision, human machine interfaces (HMIs), and intelligent machines. Machines that can see and perceive can bring forth deeper and decisive acceleration, automation, and augmentation capabilities to businesses as well as people in their everyday assignments. Machine vision is becoming a reality because of advancements in the computer vision and device instrumentation spaces. Machines are increasingly software-defined. That is, vision-enabling software and hardware modules are being embedded in new-generation machines to be self-, surroundings, and situation-aware. Machine Intelligence emphasizes computer vision and natural language processing as drivers of advances in machine intelligence. The book examines these technologies from the algorithmic level to the applications level. It also examines the integrative technologies enabling intelligent applications in business and industry. Features: Motion images object detection over voice using deep learning algorithms Ubiquitous computing and augmented reality in HCI Learning and reasoning in Artificial Intelligence Economic sustainability, mindfulness, and diversity in the age of artificial intelligence and machine learning Streaming analytics for healthcare and retail domains Covering established and emerging technologies in machine vision, the book focuses on recent and novel applications and discusses state-of-the-art technologies and tools. 2024 Taylor & Francis Group, LLC. -
Forgiving Behavior among Emerging Adults: The Influence of Religiosity and Spirituality and Personality Traits
The present study aims to examine the three important aspects of emerging adulthood, religiosity and spirituality, personality traits, and forgiveness which bring well-being benefits. It is hypothesized that religiosity and spirituality along with personality traits predict forgiveness among emerging adults. The Neo Five-Factor Inventory (NEO FFI), the Religiosity and Spirituality Scale for Youth (RaSSY), and the Heartland Forgiveness Scale (HFS) were administered to 364 female and 390 male emerging adults (n = 754; mean age = 21 years, SD = 14.88) selected through purposive sampling technique from colleges in Bangalore. Data were analyzed using correlational and hierarchical regression analysis. This study found that religiosity and spirituality and the Big Five personality traits positively correlated with forgiveness whereas all personality traits, except neuroticism, strongly predicted forgiveness more than religiosity and spirituality. These findings suggest that faith-based coping and religious social support in combination with personality traits help emerging adults practice forgiveness in their daily life, leading to further insight into the theories of forgiveness and well-being. 2023 Taylor & Francis Group, LLC. -
Neurocognitive aspects of mathematical achievement in children
Neurocognitive factors, including information integration and executive functioning, contribute significantly to a child's early success in math achievement, even though the significance of home and school environments cannot be ignored. There are only a few studies that have systematically examined how information integration and executive function skills impact different aspects of learning math and math achievement. Using a comprehensive tool such as the brain-Based Intelligence Test (BBIT), a brain-based comprehensive approach to the understanding of cognition, for the assessment of information integration and executive function skills can have significant implications for mathematical education and remediation (brain plasticity). The Author(s), under exclusive license to Springer Nature Switzerland AG 2021. All rights reserved. -
Industry automation: The technologies, platforms and use cases
This book details cutting-edge technologies, versatile tools, adaptive processes, integrated platforms, and best practices of digitized systems. With the faster maturity and stability of digitization and digitalization technologies, all kinds of physical, mechanical, and electrical systems in our everyday environments (homes, hotels, hospitals, manufacturing floors, etc.) have become digitized systems. Such technology has empowered systems to gain the power to join and contribute to fulfilling the goals of modern computing. Such digitized entities assist in producing and deploying hugely complicated yet sophisticated context-aware services and applications. The other principal contribution is capturing environmental data in real time and enabling local data processing to bring forth actionable insights. This facilitates insight-driven decisions and deeds. Precisely speaking, the aspects of real-time knowledge discovery and dissemination enable the creation and delivery of real-time and real-world features and functionalities. All industrial artifacts are being digitized, connected and empowered to be cognitive in their operations, offerings and outputs. By smartly leveraging a dazzling array of digital technologies and tools, the interaction and collaboration with human experts becomes hugely simplified and speeded up considerably. Such cognition- enabled industrial machineries, equipment, appliances, assembly lines, robots, vehicles, drones, and other assets collectively provide an intelligent environment to envisage and realize state-of-the-art industry 4.0 and 5.0 applications. Every industrial process gets optimized and automated to produce next-generation products to ensure customer delight, to explore fresh avenues to enhance revenues and to embark on higher productivity. In addition, there are chapters illustrating industrial use cases, infrastructure optimization, technology assimilation, and AI-powered data analytics towards industry automation. 2024 River Publishers. All rights reserved. -
Mental health through forgiveness: Exploring the roots and benefits
Forgiveness is conceptualized as the process of making peace with life. The three sources of forgiveness, another person, oneself, and a situation or circumstance are capable of freeing a person from a negative association to the source that has transgressed against a person. Research studies show the mental health benefits associated with forgiveness. The present study explores the experiences of adults who practice forgiveness, specifically, the indicators of forgiveness, the childhood antecedents, and the benefits of forgiving behavior. The study uses a qualitative research approach following a phenomenological framework. A total of 12 adults, ranging from 25 to 40 years of age, who received a high score on Heartland Forgiveness Scale were included in the study. Using semi-structured in-depth interviews, their personal experiences were explored. The data were analyzed using thematic analysis. The themes emerged show that the childhood antecedents of forgiveness are parental influences and early childhood experiences. The indicators of forgiving behavior include positive emotional state, empathy and perspective taking, and religiosity. The themes identified are enhanced sense of well-being, improved self-acceptance, and competence to deal with challenges. Forgiveness enhanced physical and psychological well-being. The findings of the study have several implications for religious leaders, teachers, parents, mental health professionals, and trainers. 2016 The Author(s). This open access article is distributed under a Creative Commons Attribution (CC-BY) 4.0 license. -
The machine learning algorithms for data science applications
It is going to be data-driven insights and insights-driven decisions and actions for the total humanity. Data is being recognized as the new fuel for any individual, innovator, and institution to envisage and deliver smart and sophisticated services to its clients and customers. Data is being touted as a strategic asset for any enterprise to insightfully plan ahead and provide next-generation offerings and premium services with clarity and confidence. Newer products and solutions can be unearthed and deployed to assist humans in their everyday decisions, deals, and deeds. However, for data to be overwhelmingly beneficial, data getting garnered from multiple places have to be transitioned into information and knowledge. The process for enacting this strategically sound transformation is being continuously updated and upgraded for achieving the required optimization. That is, process excellence is gaining the attention of professors and professionals. Further on, there are scores of automated tools and enabling platforms for empowering this transition activity. Data analytics is being touted as the prime method to extract actionable insights out of data heaps. In the recent past, with the flurry of artificial intelligence (AI) algorithms, frameworks, libraries, platforms, accelerators, specialized engines, and highperformance processing architectures, AI-enabled data analytics is seeing the reality. Data science is the fast-emerging and evolving domain of study and research for finding viable ways and means that can simplify and streamline the activity of emitting hidden and useful knowledge out of data volumes. In this chapter, we want to dig deeper to spell out the strategic implications of data science technologies, tools, platforms, and infrastructures. Especially how machine learning (ML) algorithms are influencing the futuristic field of data science. The Institution of Engineering and Technology 2022. -
ENVIRONMENTAL JURISPRUDENCE IN INDIA: A JOURNEY TOWARDS ATTAINING ECO-CENTRIC IDEALS
Environmental Law has had a long, arduous journey in India, but has been able to keep up with the many changes that have taken place, around the globe, and has helped shape India's environmental legal regime. By tracing the growth of environmental law, through different ages, and by highlighting some of those factors, which have contributed immensely to its growth, the idea is to identify certain false grounds and figure out ways to make environmental law more effective. By looking at it through a sociocultural lens, the aim is to examine as to whether culture, tradition and rituals can be imbibed into law or given a legal recognition, and thereby giving more power to law. The development of Earth Jurisprudence principles and the way in which it is sought to be imbibed in India and the challenges that it faces too are discussed. 2022 Universitat Rovira i Virgili. All right reserved. -
Exploring the role of social media marketing in the education sector
The educational system across the world is undergoing a transition and is affected by numerous factors encompassing technology to psychology. The traditional model of face-to-face teacher-led learning approach has been gradually shifted to student-centric and outcome-based learning. Though the intellect and learning capacities among students differ in many aspects, personalized attention of the teacher to student and practical exposure to subjects are considered as few significant areas of concern in curriculum and pedagogy. The late 2000s witnessed the dawn of many EdTech companies proclaiming personalized attention and experiential learning through online platforms. EdTech companies make fine use of social media marketing and adopt well-thought-out strategies to reach out to the student segment and parents. The prime objective of this chapter is to study the role of social media marketing strategies in capturing student segments and the influence that makes on parents' purchase decisions. 2022, IGI Global. All rights reserved. -
Exploring the role of social media influencer marketing in the tourism sector
The growing popularity of social media influencers (SMI) increasingly encourages destinations to use social media influencer marketing (SMIM) for their promotional campaigns. SMIs demonstrate the power of an individual based on certain factors employed to influence a broad segment of audience, and when it is used for marketing purposes, it is known as SMIM. SMIM is a part of the social media marketing that exercises all the commercial marketing techniques via social media channels. SMIM has impacted many industries including tourism, but looking at the progressive growth of SMIM today, it is surprising that such little attention had been paid to this area. However, while there is increasing use of SMIM by tourism organizations, there is a lack of research and limited knowledge on the roles of SMIM in travel and tourism. This chapter sheds light on the use of SMIM in the tourism sector where existing literature on the SMIM, its factors, and the influence of SMIM on the tourism sector by distinct authors are reviewed to identify the effectiveness of SMIM in the travel and tourism industry. 2023, IGI Global. All rights reserved. -
Does technology drive supply chain visibility? Evidence from the FMCG sector in India
Success and efficiency of today's business depends on many factors across various industries. Among the many factors, supply chain plays a crucial role. The well-functioning of distribution system may lead to customer satisfaction, cost reduction, risk management, competitive advantage, collaboration and integration, innovation and adoptability and sustainability. Adopting technology in supply chain systems is another way of increasing business growth in the present era. The technologies used in today's business organizations are blockchain, internet of things (IoT), cloud technology, etc. To what extent technology is used to improve supply chain visibility in business is a matter of concern. With this background, the study aims to explore the relationship and impact of different technology on supply chain visibility in fast moving consumer goods sector. To meet the objective of the study, the study chose the top 20 FMCG companies based on highest market share and collected the data from 20 supply chain managers. The variables considered for the study were internet of things (IoT), blockchain, artificial intelligence (AI), radio frequency identification (RFID), cloud technology and information technology. relevant statistical analysis was used to prove the results and it is evident that technology positively correlates with the supply chain visibility. Artificial Intelligence has the most significant impact on the supply chain visibility of a firm. Hence, there is a significant impact of technology on supply chain visibility and the extent impact is high. 2024, IGI Global. All rights reserved. -
Survey on Microwave frequency v Band: Characteristics and challenges
This paper presents the characteristics of V band frequency range of Microwave band in electromagnetic spectrum. The paper also identifies the challenges using this band in applications. The lower microwave frequency band of 2-3 GHz is used in wireless applications. Wi-Fi, Wi-Max and cellular frequencies are quite familiar using in the lower band of microwave frequency band. However, the congestion of the frequency band in this lower frequency band invoked researchers to think a higher frequency microwave band lies between 57 GHz-64 GHz band. The wireless application can utilize this unlicensed frequency band. However signal absorption, fast fading of signals in long range communication, also transceiver design architectures complexity pose great challenges in this higher band. Applications of short range such as military applications utilize this band. However, thinking a new dimension of characteristic features of microwave upper band is the focus of this paper. This paper tells the V Band, that is upper band of microwave range frequencies (57 - 64 GHz). 2016 IEEE. -
Performance analysis of antenna with different substrate materials at 60 GHz
With a tremendous demand on data rate and bandwidth utilization in RF communication systems, current research studies leads to explore the millimeter-wave unlicensed 57-64 GHz bandwidth of electromagnetic spectrum. This high frequency band is not channelized for long distance communication. However, it could be efficiently utilized for indoor and short range digital communication transmission systems for enhanced data rate and bandwidth utilization. This paper focused on designing antenna that utilizes 60 GHz frequency which falls under this spectrum by using different substrate materials such as like RT Duroid, FR4 Epoxy, Rogers RO3010 and GaAs for Rectangular Microstrip Antenna (RMSA). This research paper presents a detailed analysis on performance parameters comparison like gain, VSWR, return loss & radiation pattern analysis for the 60 GHz antenna designed with substrate materials having different properties. 2017 IEEE. -
Optimizing Antenna Structures for 60 GHz Systems Microstrip Patch vs Microstrip Slot
This paper conducts a thorough comparison between microstrip patch and microstrip slot antennas for 60 GHz wireless communication systems, excluding the meander line antenna. The design process involves meticulous selection of substrate material, antenna geometry, and feed mechanism to achieve a compact, efficient, and wideband antenna suitable for 60 GHz applications. Performance analysis, based on theoretical derivations and HFSS simulator simulations, covers key parameters like radiation pattern, gain, and bandwidth. Results demonstrate that the proposed microstrip antenna meets 60 GHz system requirements, indicating potential for further optimization. The study highlights the unique advantages and disadvantages of each antenna structure, emphasizing that selection should align with specific application needs. This comparative analysis aids researchers and engineers in making informed decisions regarding the most suitable antenna structure for their 60 GHz wireless communication requirements. 2024 IEEE. -
Consecutive Radio Labelling of Graphs
Radio labelling or radio colouring is an assignment of positive integers to the vertices of a graph such that the difference between labels of any two vertices must be at least one more than the difference between the diameter of the graph and the distance between the vertices themselves. A graph G admits consecutive radio labelling when the radio number of the graph equals the order of the graph. In this paper, we study certain graphs admitting consecutive radio labelling and identify certain properties of such graphs. Moreover, we characterize the graphs with diameter two admitting consecutive radio labelling and examine certain properties of the labelling under some graph operations. 2021, The Author(s), under exclusive license to Springer Nature Singapore Pte Ltd. -
Upper Bounds of Zagreb Radio Indices
Let G= (V, E) be a simple connected graph with vertex set V and edge set E. This chapter consists of several bounds of the Zagreb radio indices of graphs such as the Primary Zagreb Radio Index, the First Zagreb Radio Index, the Second Zagreb Radio Index and the Third Zagreb Radio Index. The indices are defined for graphs after administering a radio labelling. In radio labelling, vertices are labelled with the positive integers such that the absolute difference of two vertex labels added to their distance should be at least one more than the diameter of the graph. In radio labelling, every vertex gets distinct labels. The least possible labels given to the vertices are used to create the radio indices. 2022, The Author(s), under exclusive license to Springer Nature Singapore Pte Ltd. -
Zagreb Radio Indices and Coindices
Zagreb radio index or coindex of a graph is defined based on the optimal radio labelling of the graph, where optimal refers to the labeling with a span equal to the radio number of the graph. We have defined the first and second Zagreb radio coindex, third Zagreb radio index, and coindex and calculated its value for some famous graphs. Furthermore, we established a certain relationship between Zagreb radio indices and the coindices of graphs. 2021 by the authors. -
Cost-effective route to nanodiamonds from low-rank coal and their fluorescent & dielectric characteristics
The synthesis of nanodiamonds from abundant and inexpensive precursors has recently piqued the curiosity of researchers. It has the potential to significantly reduce the cost of nanodiamonds and open up a plethora of new applications. In this work, fluorescent nanodiamonds with smaller particle sizes with rich surface functionality are synthesized from low-grade coal lignite by employing a facile acidic oxidation and ultrasonication approach. The extracted nanodiamond particles are hydrophilic and display high excitation-dependent fluorescence in the aqueous medium. The excitation-dependent fluorescence can be ascribed to the collaboration and competition of the OH and COOH functional groups. The as-synthesized nanodiamonds also show good dielectric permittivity and ac conductivity over a wide frequency range at room temperature. The present research opens up the possibility of mass production of nanodiamonds on the industrial scale from a low-cost precursor. 2021