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Unlocking IoT: AI-enabled green fintech innovations
Meeting ESG (environmental, social, and governance) standards is becoming an essential goal for businesses, one that is supported by both investors and customers. FinTech can help companies evaluate and reduce their environmental effect, as well as investors channel their operations toward more sustainable assets. Embracing sustainability has become one of the priorities for many fintech companies today. Green fintech innovations have provided technologically enabled solutions for financial services that help in increasing the flow of financial resources for sustainable development. Recognizing the importance of green fintech in today's scenario, this chapter will initially focus on the components of the fintech ecosystem and IoT and AI-enabled fintech innovations in India, drivers of green fintech potentials of green fintech IoT, and AI-enabled green fintech from global perspective and has highlighted the green fintech solutions provided by the topmost companies. 2022, IGI Global. All rights reserved. -
Traditional finance vs. web 3: A comparative analysis of key features and characteristics for better readability purposes
Web3 is a ground-breaking invention that has the ability to address the shortcomings of web1 and web2. The industry witnessing its major impact is the finance sector. A wave of innovation in traditional finance has been inspired by the introduction of Web3. It is also referred to as the decentralised web and is a developing movement that is upending conventional finance by providing a more open, safe, and decentralised substitute. Traditional banking should work to adopt the features that Web3 offers, including stability, scalability, interoperability, security, performance, extensibility, management, and openness. In order for TradFi to maintain its relevance and expertise in the face of the widespread adoption of digital financial modes, it is now necessary to embrace several Web3 capabilities. Keeping into consideration the relevance and importance of Web3 in finance, this chapter will basically focus on analysing the key features and characteristics of Web3 in comparison to traditional finance. 2023 by IGI Global. All rights reserved. -
Leveraging transparency and privacy through blockchain technology
Blockchain is a conveyed record innovation that can be utilized to keep exchanges in a safe and straightforward way. This makes it a promising innovation for various applications, for example inventory network the executives, monetary administrations, and medical services. One of the vital advantages of blockchain is its capacity to guarantee information consistency. This is on the grounds that all information on the blockchain is put away in a disseminated way, and every hub in the organization has a duplicate of the record. This makes it truly challenging for any one party to mess with the information. One more key advantage of blockchain is its straightforwardness. All exchanges on the blockchain are public, and anybody can see them. This can assist with building trust and straightforwardness among partners. Blockchain can likewise present difficulties regarding information security. This is on the grounds that all information on the blockchain is put away in a public record. This implies that anybody with admittance to the blockchain can see the information, including delicate data, for example individual recognizable proof numbers (PII). There are various ways of tending to the difficulties of information protection in blockchain. One methodology is to utilize encryption to safeguard delicate information. Another 2024, IGI Global. All rights reserved. -
An Introduction to Business Intelligence
The quality of managerial decisions impacts the performance of any business, and this decision mainly depends on the reliability, inclusiveness, correctness, and trustworthiness of the data used for this purpose. Nowadays, business intelligence (BI) has become a key buzzword. BI supports better business decision-making by transforming data into actionable insights. The digitalization or digitization of business is accommodating and embracing the new BI to endure and stand for consistency and competitiveness for business development toward technological or digital transformation. In this digital or computer era, only those businesses will be profitable and successful that are well furnished to digitally (or binary) shift their practices in the technological or information age. In the new technological age, high powered by data analytics capabilities, meaningful and systematic data assimilation has become a new challenge for an organization to transfer data into BI. BI is a technology-driven process for analyzing data into information; information into knowledge; and knowledge into plans that manage and regulate the organization. BI presents actionable information to help corporate executives; business managers, and other end-users and makes more informed business decisions. BI software systems provide historical, current, and predictive views of business operations. Dashboards; Forecasting; Graphical Reporting; Graphical Online Analytical Processing (OLAP); and Key Performance Indicators (KPIs) are the modules of BI. BI helps in organizing teams, keeping them mindful and aware of KPIs. The awareness of KPIs through dashboards and reports keeps teams aligned and more focused on their goals. The optimal aim of BI is to enable a business to make informed decisions. BI helps business managers or leaders utilize data in a way that is coherent and dynamic. The key elements of BI involved are Advanced Analytics or Corporate Performance Management; BI; Data Sources; Data Warehousing and OLAP. With the latest technology and innovations, there are countless BI applications available for varied types of data analysis. BI software or technologies can deal with multiple structured and unstructured data to identify, develop, and create new strategies business opportunities. Its purpose is to enable clear and accessible interpretation of the huge data, to identify new opportunities and execute effective strategies. Strategic BI (SBI) is always associated with reporting from an analytical data source or data warehouse. Essentially, SBI improves the business process by analyzing a predetermined set of data pertinent to that process and provides the historical background of that data. SBI assembles on four crucial and necessary criteria or frameworks, namely collection and storage of data; Optimization of data for analysis; Identification of important business drivers through past data records; and seeking answers to key business questions. Hence, BI provides procedures and technologies, and tools for current business leaders to alter and modify dynamically and effectively lead their companies with correct data decisions. This research paper is qualitative and based on secondary data. This chapter aims to provide insights into BI and highlights the recent innovations and future of BI. 2023 selection and editorial matter, Deepmala Singh, Anurag Singh, Amizan Omar & S.B Goyal. -
Patents and Innovations for Digital Sustainability
With technology growing at a rapid pace, a major issue which is being faced is the problem of effective energy usage and sustainability such that the future generation does not have to bear the brunt of our actions. Through the course of the chapter, the various innovations and patents in the field of digital sustainability are explored which are vital for the preservation of the planet. Patents play a crucial role in promoting innovations and development, as well as protecting the rights of inventors. The varied recent developments in the field of energy sustainability and explaining their work while assessing their contribution to the field are the focus of this chapter. The chapter also provides a comprehensive overview of the relationship between patents and innovations in digital sustainability, offering insights and guidance for researchers, practitioners, and policymakers working in this field. 2024 selection and editorial matter, Vandana Sharma, Balamurugan Balusamy, Munish Sabharwal, and Mariya Ouaissa. -
Exploring the Nexus: An in-depth analysis of brand activism's influence on consumer behaviour
This study delves into the intricate relationship between brand activism and consumer behavior, aiming to unravel the nuanced dynamics that underlie contemporary market influences. Employing a comprehensive analysis, the authors investigate how brands' engagement with social and environmental causes resonates with consumers, shaping their attitudes, preferences, and ultimately, their purchasing decisions. The research employs a multi-faceted approach, combining qualitative and quantitative methodologies to capture the depth and breadth of brand activism's impact. By examining real-world examples and conducting surveys, the authors seek to discern patterns and correlations that illuminate the mechanisms through which brand activism leaves an indelible mark on the modern consumer landscape. The findings promise to provide valuable insights for marketers, businesses, and scholars alike, offering a deeper understanding of the evolving interplay between corporate values, social responsibility, and consumer choices in today's dynamic marketplace. 2024, IGI Global. All rights reserved. -
Indian women and empowerment: A Kleinian approach
The idea of women empowerment is often understood through the varied social contexts of individuals. There have been many attempts in understanding this notion among Western Educated Industrialized Rich and Democratic (WEIRD) women. A similar exploratory trajectory is seldom found in non-WEIRD samples of women especially those from South East Asian collectivistic cultures. The present study attempts to explore the concept of empowerment among middle-aged women from collectivistic cultures, who are often subjected to benevolent sexism from a social constructivist position. The paper would emphasize notions about the empowerment of ordinary women, particularly with regard to their occupational status. The discussion would be positioned in the cultural context of the Indian subcontinent where gender roles, norms and expectations define the concept of empowerment among women. A psychodynamic Kleinian approach involving object relations is adopted to elaborate on the occupational position of the participants where their interpersonal dynamics are explored. Springer Nature Switzerland AG 2023. -
Fluorescent Photosensitizers: A Promising Tool for Biomedicine
The growing demand for the detection for biomedical imaging has taken the interest of researchers as there is a significant increase in cancer and malignant diseases across the globe. Photosensitizers assisted with fluorescent properties can be a pioneer in this field. Photosensitizers generally damage the living cell, however, selected fluorescent photosensitizers can offer a minimal threat to the living cells. Medically relevant processes such as live cell imaging and photodynamic therapy can be monitored using this technique. Some of the commonly used fluorescent photosensitizers include porphyrins, chlorins, and bacteriochlorins. This chapter addresses the significance, limitations, and future perspectives of fluorescent photosensitizers in biological applications. Scientists can develop efficient fluorescent photosensitizers for easy detection and cure of different infectious diseases. The chapter also puts forward a deeper understanding of the principle underlying tunable fluorescent properties, and the recent efforts for developing efficient fluorescent photosensitizers. 2022 Nova Science Publishers, Inc. -
Women empowerment through community-based organisations in rural Karnataka
Women empowerment is an active multidimensional process to enable women to realize their identity and power in all spheres of life. Self Help Groups (SHGs) have played a significant role in women's empowerment. Through the SHGs, the dreams and desires of women came into reality. The current study examines women's empowerment through community-based organisations in rural Karnataka (Hoskote, Jamkhandi and Kolar). The chapter aims to determine the impact of SHGs on rural women's lives and whether it contributes to women's empowerment. The chapter follows a mixed-method research design. Thirty well-performing SHGs from three Centre for Social Action (CSA) project sites in rural Karnataka, namely Hoskote, Jamkhandi and Kolar, were considered for this chapter. A simple random sampling technique was used. Ten members from each SHG were selected, and three hundred SHG women samples were recruited. Responses from the samples were collected using pre-designed questionnaires. The results state that there is a well-evident improvement in women's economic, social, familial and political status after joining the SHG. The chapter concludes that SHG has caused significant change and development in women's socio-economic, familial and political life in rural Karnataka. 2024 Nova Science Publishers, Inc. -
IoT-Enabled Analysis of COVID Data: Unveiling Insights from Temperature, Pulse Rate, and Oxygen Measurements
The COVID-19 pandemic has forced unparalleled transformation on healthcare systems around the world, demanding new and improved approaches for effective monitoring and diagnosis. In this context, we present a study titled IoT-Enabled Analysis of COVID Data: Unveiling Insights from Temperature, Pulse Rate, and Oxygen Measurements. The global impact of COVID-19, with millions of confirmed cases and fatalities, underscores the urgency of finding efficient monitoring solutions. To address this crisis, IoT-Enabled Health Monitoring Systems have emerged as a promising tool for remote patient monitoring and infection risk reduction. These systems leverage sensors to collect real-time data on the temperature, pulse rate, and oxygen saturation levels of the subject. The integration of a mobile application enables immediate access to this critical health information. In this study, we explore the use of IoT systems, which have demonstrated accuracy comparable to other devices on the market. By leveraging these technologies, we aim to provide healthcare professionals with valuable insights into patients health status, aiding in early detection, monitoring, and timely intervention. Our research contributes to the efforts to battle the COVID-19 pandemic by highlighting the potential of IoT-enabled monitoring systems in enhancing healthcare delivery, reducing infection risks, and ultimately saving lives. 2024 Scrivener Publishing LLC. -
Optimal DG Planning and Operation for Enhancing Cost Effectiveness of Reactive Power Purchase
The demand for reactive power support from distributed generation (DG) sources has become increasingly necessary due to the growing penetration of DG in the distribution network. Photovoltaic (PV) systems, fuel cells, micro-turbines, and other inverter-based devices can generate reactive power. While maximizing profits by selling as much electricity as possible to the distribution companies (DisCos) is the main motive for the DG owners, technical parameters like voltage stability, voltage profile and distribution losses are of primary concern to the (DisCos). Local voltage regulation can reduce system losses, improve voltage stability and thereby improve efficiency and reliability of the system. Participating in reactive power compensation reduces the revenue generating active power from DG, thereby reducing DG owners profits. Payment for reactive power is therefore being looked at as a possibility in recent times. Optimal power factor (pf) of operation of DG becomes significant in this scenario. The study in this paper is presented in two parts. The first part proposes a novel method for determining optimal sizes and locations of distributed generation in a radial distribution network. The method proposed is based on the recent optimization algorithm, TeachingLearning-Based Optimization with Learning Enthusiasm Mechanism (LebTLBO). The effectiveness of the method has been compared with existing methods in the literature. The second part deals with the determination of optimal pf of operation of DG sources to minimize reactive power cost, reduce distribution losses and improve voltage stability. The approachs effectiveness has been tested with IEEE 33 and 69 bus radial distribution systems. 2022, The Author(s), under exclusive license to Springer Nature Singapore Pte Ltd. -
Removal of Occlusion in Face Images Using PIX2PIX Technique for Face Recognition
Occlusion of face images is a serious problem encountered by the researchers working in different areas. Occluded face creates a hindrance in extracting the features thereby exploits the face recognition systems. Level of complexity increases with changing gestures, different poses, and expression. Occlusion of the face is one of the seldom touched areas. In this paper, an attempt is made to recover face images from occlusion using deep learning techniques. Pix2pix a condition generative adversarial network is used for image recovery. This method is used for the translation of one image to another by converting an occluded image to a non-occluded image. Webface-OCC dataset is used for experimentation, and the efficacy of the proposed method is demonstrated. 2022, The Author(s), under exclusive license to Springer Nature Singapore Pte Ltd. -
Surface functionalized fluorescent carbon nanoparticles and their applications
Fluorescent carbon nanoparticles or carbon dots (CDs) are zero-dimensional nanomaterials embodying physicochemical characteristics appropriate for novel and improved applications in various disciplines. Tunable photoluminescence, photostability, small size, low cost, biocompatibility, etc., are some of the promising features of CDs. The CDs are usually composed of a graphitic core surrounded by shell layers containing various functional groups. Surface functionalization of CDs is known to customize, and regulate the properties of CDs, thereby proliferating their applications. A variety of physical and chemical methods have been used for the preparation of CDs with tailored surfaces. The choice of the synthetic strategy generally depends on the type of surface modification required and the fluorescence behavior expected. This chapter summarizes and discusses the existing strategies for preparing surface functionalized CDs and the resultant fluorescence phenomena. The surface functionalization of CDs can decisively influence their suitability in several applications. In some applications, surface functionalization improves the existing utility, while novel utilities are emerging in others. The influence of surface functionalities of CDs on biomedical and catalytic applications has been discussed in detail in this chapter. CDs have emerged as a promising material for enhancing the performance, sustainability, and safety of various energy storage devices like batteries, supercapacitors etc. Continued research and development in this area could lead to the realization of more efficient and environmentally friendly energy storage solutions. The chapter concludes by discussing the challenges in synthesizing surface functionalized CDs and their acceptability in biomedical and industrial applications. 2025 Elsevier Inc. All rights are reserved including those for text and data mining AI training and similar technologies. -
Optical Properties of Magnetic Quantum Dots
The delta-like dispersion of the density of states (DoS) enable quantum dots (QD) to display optical and electronic properties comparable with those of real atoms. The discrete electronic structure of QDs akin to that of atoms is formed due to the effect of quantum confinement (QCE). In the case of magnetic quantum dots (MQD), the QDs are incorporated with magnetic impurities such as Mn atom, rare earth elements etc., by which the QDs undergo significant changes in optical and electronic properties by lifting their degeneracies (Zeeman effect). The combination of fluorescent and magnetic entities opens up opportunities for synthesizing two-in-one nanocomposites beneficial for multi-functional, multi-targeting, and multi-theranostic tools. Optical properties of QDs consisting of magnetic impurities, such as the absorption coefficient, oscillator strength, and refractive index are discussed in this chapter. 2023 selection and editorial matter, Amin Reza Rajabzadeh, Seshasai Srinivasan, Poushali Das, and Sayan Ganguly. -
Detection of Disease in Mango Trees Using Color Features of Leaves
The goal has been to detect disease in mango trees. This paper compares different approaches to extract color features and check the accuracy and applicability for mango trees. The paper proposes variations which helped in increasing the accuracy of features extracted for mango trees: firstly, a customized method of splitting leaf into layers while doing K-means clustering, and secondly, segmenting the region of interest to blocks to help in applying statistical functions more accurately over a region. 2020, Springer Nature Singapore Pte Ltd. -
Language and identity formations of second-generation migrants in Deepak Unnikrishnan's temporary people
Decades of migration to the Gulf nations have led to the existence of second-generation migrants who were born and raised in migrant lands. The chapter uses the novel Temporary People (2017) by Deepak Unnikrishnan as a primary text to explore the role language plays in second-generation migrant identity formations and the assimilation process. The national language, Arabic, is situated in the specific socio-political context, a site where ideologies and power relations are reproduced. By identifying a gap in the language education policy, it reveals how migrant's inability to communicate in the Arabic language has complex implications on their identities and notions of belongingness. The chapter explores language's power to naturalize norms and hierarchical structures within society that can hinder the assimilation process and highlights the migrant-citizen divide. It shows how notions of temporariness and Othering in migrants are inherent within the language politics of the land. The chapter reaffirms language-identity relations and points to revaluating migrant language policies. 2023, IGI Global. All rights reserved. -
Environmental sensors: Safeguarding the ecosystem by monitoring sanitary pad disposal
This chapter focuses on the applications of environmental sensors in general and their role in identifying and addressing the issues related to the improper disposal of sanitary pads, which is a growing concern. It also gives an overview of the pollutants associated with it, and the role that environmental sensors can play in mitigating this problem. By harnessing the power of advanced sensing technologies, we can gain a better understanding of the environmental impact of sanitary pad disposal and work towards sustainable solutions. This chapter aims to provide valuable insights and guidance for researchers and practitioners working to create a cleaner and healthier environment and generate self-awareness for individuals in safeguarding ecosystem. 2024, IGI Global. All rights reserved. -
Artificial Intelligence-Based Approaches for Anticipating Financial Market Index Trends
The stock market is an essential component of the world economy and significantly impacts how different countries handle their finances. Predicting stock prices has gained popularity recently since it can offer traders, investors, and policymakers useful information. Making informed financial decisions, lowering risk, and maximizing returns can all be facilitated by accurate stock price projections. Stock price prediction is a current research subject due to improvements in machine learning (ML) techniques, and several methodologies have been put forth in the literature. To increase the accuracy of stock price prediction, one method combines the feature extraction ability of convolutional neural networks (CNNs) with the classification strength of support vector machines (SVMs). CNNs are a subclass of neural networks that have excelled in voice and picture recognition. They can be taught to extract valuable features from the supplied data automatically. Contrarily, SVMs are a well-liked machine learning (ML) technique that has been applied for regression and classification tasks. 2024 Sachi Nandan Mohanty, Preethi Nanjundan and Tejaswini Kar. -
Optimizing energy consumption in wireless sensor networks using python libraries
Wireless sensor networks (WSNs) are widely utilized in various fields, including environmental monitoring, healthcare, and industrial automation. Optimizing energy consumption is one of the most challenging aspects of WSNs due to the limited capacity of the batteries that power the sensors. This chapter explores using Python libraries to optimize the energy consumption of WSNs. In WSNs, various nodes, including sensor, relay, and sink nodes, are introduced. How Python libraries such as NumPy, Pandas, Scikit-Learn, and Matplotlib can be used to optimize energy consumption is discussed. Techniques for optimizing energy consumption, such as data aggregation, duty cycling, and power management, are also presented. By employing these techniques and Python libraries, the energy consumption of WSNs can be drastically decreased, thereby extending battery life and boosting performance. 2023, IGI Global. All rights reserved. -
Digital financial literacy and its impact on financial behaviors: A systematic review
The dependence on digital financial technologies influences financial behaviors among people. This systematic review aims to identify and understand the variables interplay between digital financial literacy and financial behavior. The systematic literature review uses the PRISMA systematic review guidelines to identify and screen the literature. The results show there is a positive significant relation between digital financial literacy and financial behaviors. It was found that there are minimal studies on the variables interplaying between digital financial literacy and financial behavior. The interplaying variables identified are financial self-efficacy, financial confidence, self-control, financial autonomy, financial capability, psychological biases and digital, financial socialization, and socio-economic and demographic factors. This review develops a framework for future exploration explaining the relationship between digital financial literacy and financial behavior identifying financial wellbeing as the outcome. 2024 by IGI Global. All rights reserved.