Browse Items (1422 total)
Sort by:
-
Transforming Industry 5.0: Real Time Monitoring and Decision Making with IIOT
This chapter explores the transformative potential of Industry 5.0 by leveraging real-time monitoring and decision-making capabilities through the use of IIoT dashboards. It extends in examining how IIoT dashboards enable organizations to gain real-time insights into their operations, facilitating data-driven decision-making and improving overall efficiency. By embracing IIoT dashboards, businesses can effectively transform Industry 5.0, unlocking new levels of productivity, agility, and competitiveness. In this chapter, important challenges such as data integration, data security, scalability, and user experience are identified. It highlights key considerations for implementing IIoT dashboards and offers practical methods for successful adoption of this technology. Remarkable achievements in implementing this technology include applications such as crude oil production with IIoT and edge computing, as well as IIoT-enabled smart agriculture dashboards. Adopting IIoT dashboards may involve initial costs, but they offer long-term benefits and cost-effectiveness, particularly in the era of Industry 5.0 transformation. 2024 selection and editorial matter, C Kishor Kumar Reddy, P R Anisha, Samiya Khan, Marlia Mohd Hanafiah, Lavanya Pamulaparty and R Madana Mohana. -
Challenges and Solutions of Using Social Internet of Things (SIoT) in Healthcare and Medical Domains
The revolutionary idea that combines social networks with the Internet of Things (IoT) is called the Social Internet of Things (SIoT). SIoT is a term that refers to the modelling of social networks formed by connecting people and things. SIoT was designed to assist organizations in achieving specific goals, such as boosting usability, scalability, and productivity and satisfying business service requirements. The application layer of the SIoT model performs several tasks like managing the relationship, discovering the services, configuring services, and managing reliability among the devices. The information collected about SIoT is categorized by identifying the relationships between devices. SIoT creates an event identity based on data from IoT applications. This identity may then be transferred with the SIoT network and made available to other IoT apps. Thus, the SIoT network offers guidance services for reusing data from IoT applications across many IoT applications and customizing IoT solutions to meet the unique needs of individual users, hence boosting overall communication. SIoT technology entails the more efficient use of recent data to create favorable patient outcomes in healthcare and medicine. The enormous volume of data generated by SIoT-connected devices has allowed various developments and applications in the healthcare domain. SIoT leverages sensors and other connected devices in these domains to boost social solutions efficiency. Without question, sensors used for creating this kind of network model that can collect vast amounts of data are on the verge of becoming a pervasive part of our lives. If the processing and management are not carried out optimally in SIoT, there is a significant risk that the data will lose its efficacy. This chapter examines SIoT challenges and approaches in the healthcare and medical domain. SIoT approaches may assist users in detecting a patients aberrant behaviour. These approaches are capable of detecting and forecasting patients health states. The SIoTs relational models, such as community sharing, equality matching, and equality matching, also provide IoT services to users. The sensing layers functionalities are compared to those of the network layer and application when assessing SIoT services. The proposed hierarchical network model uses gateways, switches, and IoT devices to establish social relationships. CISCO packet tracer is used to construct and operate this mainly built social network for healthcare. This specially designed social network for the healthcare domain can easily be implemented and controlled by any hospital management. 2023 selection and editorial matter, Gururaj H L, Pramod H B, and Gowtham M; individual chapters, the contributors. -
Internet of Things and Blockchain in Healthcare: Challenges and Solutions
The Internet of Things (IoT) enables Internet-connected devices to transmit data to private blockchain networks, allowing for the creation of tamper-resistant documents with shareable exchanges. IoT blockchain technology enables you to communicate and connect IoT data with key stakeholders, while avoiding the need for extensive management and control. Each transfer can be checked to ensure there are no disagreements and to build trust in the network. Blockchain technology protects data from being changed, restricts access to Internet-connected devices, and allows vulnerable IoT devices to be shut down. Blockchain encryption eliminates the possibility of someone overwriting existing data records. In addition, storing IoT data on the blockchain adds an extra layer of security, preventing malicious attackers from accessing the system. The many blockchain IoT firms provide significant value in revolutionizing company operations and daily routines. IoT blockchain firms demonstrate the possibility of blockchain and IoT integration. For instance, Helium is a successful blockchain IoT company specializing in securing Internet connections. This chapter presents the vital role of the Internet of Things and blockchain in the healthcare domain. The integration of blockchain technology in the healthcare industry has given us a chance to solve some problems with IoT networks. In recent years, the need for blockchain-enabled IoT transactions has become an essential technology that will change how users share data. A scenario has been developed to enhance this study to analyse the integration, need, and obstacles associated with blockchain-enabled IoT transactions in the healthcare area. As a result, there is also an IoT model designed using devices for hospitals that take into account all of these people and their needs and the office space where they work. The Author(s), under exclusive license to Springer Nature Switzerland AG. 2024. -
Exploring social networking data sets
A network is a collection of objects/devices that are linked to one another through wired and wireless communication. Networks are everywhere, and they are formed to share resources among users. Nodes and edges form a network structure. Nodes describe the objects, whereas edges represent the connections between them. Network analysis is advantageous in a wide variety of live application activities. It enables us to get a thorough knowledge of the structure of a connection in social networks, the structure or process of development in environmental events, and even the study of organisms' biological systems. Additionally, network analysis allows the estimation of complex network patterns, and the network structure may be examined to disclose the network's basic features. If anyone examines a social connection among Facebook users, for example, the nodes indicate the target people and the edges reflect the connections between users, such as friendships or group memberships. The objective of this chapter is to describe and visualize social network analysis (SNA) using Python and NetworkX, a Python framework for analyzing the structure, dynamics, and functions of complex networks. 2022 Scrivener Publishing LLC. All rights reserved. -
Big data, artificial intelligence, and machine learning support for e-learning frameworks
Today's e-rendering frameworks are essential in various fields such as computer graphics, virtual reality, and augmented reality to provide an effective and impressive education to modern society. The integration of big data, artificial intelligence (AI), and machine learning (ML) techniques into e-rendering frameworks hold significant potential for enhancing rendering efficiency, optimizing resource allocation, and improving the quality of rendered outputs. With the advent of big data, massive amounts of rendering-related data can be collected and analyzed. This data includes rendering parameters, scene descriptions, user preferences, and performance metrics. By applying data analytics, important information can be derived, allowing for more informed decision-making in rendering processes. Additionally, AI techniques, such as neural networks and deep learning, can be employed to learn from the collected data and generate more accurate rendering models and algorithms. 2024, IGI Global. All rights reserved. -
Future research directions for effective e-learning
In recent years, with the rapid advancement of technology and the global shift towards digital education, e-learning has gained significant momentum from education sectors. However, there are still several challenges and areas for improvement in the field of e-learning. This work discusses several future research directions that contribute to the effective implementation and enhancement of e-learning in solving real world problems. Also, various components like pedagogical strategies, technology integration, learner support and engagement, assessment and evaluation, accessibility and inclusivity, professional development for educators, quality assurance and accreditation, and ethical and legal issues are explained towards implementation of e-learning. Hence, this chapter explains the effectiveness, accessibility, and inclusivity of e-learning as providing effective educational opportunities for learners globally. 2024, IGI Global. All rights reserved. -
Effective HR practices in family business in technology disruption era
Today's world of 21st-century business is said to be a VUCA (Volatility-Uncertainty-Complexity-Ambiguity) world. VUCA describes the fast pace of change in the business environment. It has largely been led by the disruption brought about by technology-led human resources departments within organisations to revise strategy approaches and methods to face these emerging challenges. Research studies show that more than two-thirds of the companies in the world belong to family businesses. In the family business, the owners and HR should see what is going on in the business environment and update the situation. As most family businesses have family members in key positions, the tricky issues faced by family businesses are mostly about handling family and non-family members and creating effective HR policies. The COVID-19 pandemic in 2019 and 2020 has disrupted their business in unexpected ways. This chapter explores different HR practices adopted by the family business and suggests effective HR practices and procedures to meet the multiple challenges in the family business. The chapter also analyses the strategies of HR practices followed by some top family business firms worldwide. The chapter is formed as a meta-synthesis. It provides more qualitative inputs related to recent challenges and effective HR practices adopted in the technologically competitive era and during the COVID-19 pandemic period. 2022 World Scientific Publishing Co. Pte. Ltd. -
Blockchain: Opportunities in the healthcare sector and its uses in COVID-19
As the world grapples with the COVID-19 pandemic and major populations are getting vaccinated, increasing realization processes healthcare industry needs to be augmented. It includes managing supply chains, healthcare records, and patient care. With a scarcity of time and resources, adaptation of blockchain technology will help mitigate the pressures on existing infrastructure. A blockchain distributed ledger helps to exchange health information securely without complex intermediation of trust with secure access. The organizations and persons in the blockchain network can verify and authorize the data, thus protecting patient identity, privacy, medical information system, and reducing transaction costs. The chapter examines managing and protecting electronic medical records and personal health records data using blockchain. It also analyses issues in healthcare, blockchain implementation, and its uses in the COVID-19 pandemic. The authors put forward the idea that even after the world is free of the Coronavirus, there will be pressures on the healthcare industry and Blockchain technology is the way to alleviate this pressure. 2022 Elsevier Inc. All rights reserved. -
Gamification for industry 5.0 at the core of society 5.0
Gamification has become a popular approach to engage employees, customers, and other stakeholders in various industries. With the advent of Industry 5.0 and Society 5.0, the use of gamification is expected to increase, as companies and organizations look for innovative ways to enhance productivity, creativity, and collaboration. Industry 5.0 is the next phase of industrial development, characterized by the integration of advanced technologies, such as AI, IoT, and robotics, with human skills and creativity. Society 5.0, on the other hand, refers to a human-centered society that leverages technology to create solutions for social problems. This chapter explores the potential of gamification in the context of Industry 5.0 and Society 5.0. It discusses the various applications of gamification, including training, education, marketing, and sustainability. It also examines the benefits of gamification, such as increased engagement, motivation, and collaboration. 2023 by IGI Global. All rights reserved. -
Role of emerging technologies in smart marketing and smart business for modern society
In the digital age, the fusion of emerging technologies with marketing and business strategies has become imperative for staying competitive and meeting evolving consumer demands. This chapter explores the pivotal role of emerging technologies in facilitating smart marketing and business practices in modern society. Through a comprehensive review of literature and case studies, this chapter examines the impact of technologies such as artificial intelligence (AI), machine learning (ML), big data analytics, internet of things (IoT), augmented reality (AR), and blockchain on reshaping marketing and business landscapes. The integration of AI and ML algorithms enables predictive analytics, personalized marketing, and enhanced customer experience through precise targeting and recommendation systems. Big data analytics empowers businesses to derive actionable insights from vast datasets, enabling data-driven decision-making and dynamic market segmentation. 2024, IGI Global. All rights reserved. -
Microbial Synthesis of Alkaloids and Applications in Healthcare
Plant alkaloids are a large group of natural compounds with wide-ranging bioactive characteristics, but the number of alkaloids obtained from the plant is low. Mass extraction of these bioactive alkaloids is affected by the trouble in large-scale propagation of these plants and absence of efficient strategies for extraction. However, production by chemical reactions is a substitute method; it is less effective due to its highly complex structure. The extensive study of alkaloid biosynthesis in plants and the advancement of genetic and metabolic engineering techniques enabled the opportunity to synthesise alkaloids through microbial hosts via metabolic engineering and bioprocess optimisations. In this chapter, we discuss the various gene-manipulation strategies to produce alkaloids in various microbial hosts and their application in the healthcare industry. 2023 selection and editorial matter, Ranjna Sirohi, Amit Kumar Rai, Luciana Porto de Souza Vandenberghe, and Binod Parameswaran; individual chapters, the contributors -
Microbial Enzymes for Synthesis of Chiral Drug Intermediates
Microbes or microbial enzymes can catalyze the synthesis of bioorganic compounds, and this process is defined as biocatalysis. Biocatalysis has become an essential technique in organic biotransformation, typically applied in chemical industries. Biocatalysts generally show high activity and excellent enantio, stereo, regio, and chemo-selectivity. They offer practical and cost-effective ways to synthesize semi-synthetic analogues and novel drug molecules. Many bacteria and fungi-derived enzymes could catalyze highly specific hydroxylations of various substrates that are highly complex to synthesize by chemical methods. This chapter details and discusses different biocatalytic microbial platforms that permit to produce the chiral drug intermediates. 2023 selection and editorial matter, Ranjna Sirohi, Amit Kumar Rai, Luciana Porto de Souza Vandenberghe, and Binod Parameswaran; individual chapters, the contributors -
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. -
A comparative study on e-waste management systems in developed and developing countries: Legislative compliances and initiatives
E-waste is an ongoing issue that still lacks a suitable solution, particularly in developing nations. The environment and human health have suffered dramatically as a result of poor recycling practices of waste of electrical and electronic equipment (WEEE), transboundary movement, improper management of e-waste, the lack of environmentally sound management (ESM) programs, and the ineffective EPR (extended producer responsibility) schemes. Although developed nations have implemented efficient legislative frameworks and regulations, emerging nations suffer due to their plans. E-waste management systems differ in developed and developing countries; thus, this study evaluates the differences between the management systems and outlines the areas where the developing nations lack effective e-waste management and the advantages developed countries enjoy. Therefore, the current study results are crucial for comprehending the severe hazard posed by improper management of e-waste and the viability of future research into creating strategies to address these problems of developing nations. 2023, IGI Global. -
Insights into the performance of farmer producer companies: An exploratory analysis in kerala, india
India faces challenges in farmers well-being due to small land holdings and the absence of an organized agricultural market system, prompting the introduc-tion of initiatives such as the promotion of Farmer Producer Organizations (FPOs) to fortify the agricultural market. However, ambiguity remains over the functioning of such initiatives. This study aims to tackle the aforementioned issue by collecting and analyzing data on the operations of 400 registered Farmer Producer Companies (FPCs) in the state of Kerala, India. The analysis focuses on key indicators such as the age of the FPC, paid-up capital, and activity status (whether active or struck-off). A primary survey has also been conducted, both telephonic and face-to-face inter-views, based on convenience, using a semi-structured questionnaire. Both farmers and representatives from FPCs are interviewed. The issues discussed are marketing assistance, input sales, type of services offered, managerial capacities, etc. The study finds that not all registered FPCs effectively improve the welfare of farmers. The most common service FPCs provide is marketing, which helps increase product sales through collective bargaining power and access to higher-paying markets. FPCs that engage in contract farming, sell through supermarkets, or explore inter-state or inter-national markets are more successful in increasing farmers revenues than those that only use traditional market chains. However, it is important to note that FPCs face several challenges, including a lack of infrastructure and support, limited access to credit, and a lack of skilled and trained staff. These essential factors must be addressed for FPCs to achieve their full potential. The Author(s). -
Quantifying the Impact: Assessing FPO Penetration in Indian Agriculture Through the Lens of the 2019 Situation Assessment Survey
In India, Farmer Producer Organisations (FPOs) are garnering significant attention as a potential solution to address the challenges faced by small-scale farmers. This research paper focuses on the engagement of farmers with more than 33,000 registered FPOs in India. It analyzes data from the Situation Assessment of Agricultural Households 2019 and the FPO dataset by the Tata Cornell Institute. The paper sheds light on how farmers are involved with FPOs to meet their agricultural needs, such as acquiring inputs, managing the sale of farm produce, and receiving technical support for farming activities. Despite the anticipated benefits for farmers through their engagement with FPOs, the actual achievements have not met initial expectations. The impact of FPOs on farmers remains minimal, with fewer than 1% of farmers in India utilizing FPO services. This emphasizes the crucial need for reassessment and targeted interventions to enhance the effectiveness of these organizations. The Author(s), under exclusive license to Springer Nature Switzerland AG 2024. -
The industry use cases for the Digital Twin idea
Digital Twin Technology has taken the place in top 10 strategic technology trends in 2017 termed by Gartner Inc. Digital Twin concept brings out the virtual depiction or the digital representation of the real world equipment, device or system whereas the real world and the virtual world gets the highest synchronization. The digital representation of the complete life cycle of a product from its design phase to the maintenance phase will give the prophetic analysis of the problems to the business. This greatest advantage of foreseeing problems in the development of a device will give early warnings, foil downtime, cultivate novel prospects and inventing enhanced devices or gadgets for the later use at the lesser expense by means of digital representations. Indeed, these will devise a larger influence on conveying superior consumer feeling also in the enterprise. The emerging trends such as Artificial Intelligence, Machine Learning, Deep Learning, Internet of Things and Big Data used in Industry 4.0 play a vital role in Digital Twin and they are mostly adopted in the world of manufacturing, Industrial Internet of Things, and automobile business world. The penetration, wide coverage and the advancement of the Internet of Things in real-world have elevated the power of Digital Twins more economical and reachable for the world of various businesses. 1. Manufacturing: Digital Twin has brought out the change in the existing manner of the manufacturing segment. Digital Twins have a substantial influence on the design of products and their manufacturing and maintenance. Because of its influence the manufacturing more competent and augmented while dropping throughput times. 2. Industrial IoT: Integrating digital twin with industrial firms will facilitate the activities such as monitoring, tracking and controlling industrial systems in digital means. We can potentially experience the power of digital twin since it captures environmental data such as locality, settings of the devices, financial frameworks, etc., other than the operational data, which benefits in foreseeing the forthcoming operations and incongruities. 3. Healthcare: Since the healthcare sector demands higher accuracy in diagnosis and treatment, with the important data from IoT, digital twins can play a vital role by reducing the expense for the patient, precautionary alerts to avoid health deterioration and giving tailored health support system. This will be great support especially in developing countries like India. 4. Smart cities: Digital Twin coupled with IoT data can augment the efficient planning of the smart city and execution of its building by supplementing financial progress, effectual administration of resources, lessening of environmental impression and escalate the complete worth of a resident's life. The digital twin prototypical can aid city organizers and legislators in the smart city planning by retrieving the visions from numerous sensor networks and smart systems. The information received from the digital twins supports them in reaching well-versed choices concerning the future as well. 5. Automobile: Automobile industry can get voluminous benefits out of Digital Twins for producing the simulated framework of a coupled vehicle. It retrieves the behavioral and functional information of the vehicle and services in examining the inclusive performance efficiency of the vehicle as well as the features connected along with it. Digital Twin also supports in supplying a justly enhance support and service for the consumers. 6. Retail: Alluring client satisfaction is a fundamental factor in the merchandising world. Digital twin employment can play a key role in supplementing the retail customer experience by forming virtual twins for customers and modeling fashions for them on it. Digital Twins also supports enhanced planning of stock maintenance, safekeeping procedures, and human resource administration in an augmented means. 2020 Elsevier Inc. -
Heightening Satellite Image Display via Mobile Augmented Reality A Cutting-Edge Planning Model
This paper summarizes on object detection, classification, analysis, and display for optical satellite image. Initially, all the existing object detection and object viewing system based on AI techniques are introduced. Various optical imaginary methods and the possibility of immersing optical and 3D data with other data sources are also explained. The surveyed literatures show that in most of the case, the detected objects are taken as resource for planning. We also observed that the image viewing and displaying model was ignored by many authors which is one of the key concepts for next phase. Satellite AR plays a vital role in displaying the images. Overall, it can be seen that optical image view along with AR display can be used for better planning, which is one of the popular research topics and has an excessive operational potential which is the need of the hour dealing with analyzing, predicting, and viewing large amount of data. 2020, Springer Nature Switzerland AG. -
Topological insights into weather dynamics in the Indian context: An application of clustering and Mapper algorithm
Analysis of day-to-day weather patterns is critical and essential in daily life. Although traditional methods exist, in modern times, we have developed realistic and reliable methods to provide better insights and understanding of complex weather patterns for various surges, especially in these times of global warming. Implementing clustering and topological data analysis in this analysis has looked into a vast understanding of how regions with similar characteristics behave when weather changes occur due to heat, pressure, or wind-related phenomena. The classification model developed using Mapper analysis has produced 95.8% accuracy, concluding that weather follows a transient weather pattern due to various resources and how stagnant conditions affect transient weather patterns, causing rise in sub-clusters. Thus, fitting and interpreting newer models helps us understand weather analysis and classification. 2024, IGI Global. All rights reserved.