Browse Items (14421 total)
Sort by:
-
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. -
Internet of Things and Cloud Computing Involvement Microsoft Azure Platform
The rapid advancement of cloud technology has resulted in the emergence of many cloud service providers. Microsoft Azure is one among them to provide a flexible cloud computing platform that can scale business to exceptional heights. It offers extensive cloud services and is compatible with a wide range of developer tools, databases, and operating systems. In this paper, a detailed analysis of Microsoft Azure in the cloud computing era is performed. For this reason, the three significant Azure services, namely, the Azure AI (Artificial Intelligence) and Machine Learning (ML) Service, Azure Analytics Service and Internet of Things (Io T) are investigated. The paper briefs on the Azure Cognitive Search and Face Service under AI and ML service and explores this service's architecture and security measures. The proposed study also surveys the Data Lake and Data factory Services under Azure Analytics Service. Subsequently, an overview of Azure Io Tservice, mainly Io THub and Io TCentral, is discussed. Along with Microsoft Azure, other providers in the market are Google Compute Engine and Amazon Web Service. The paper compares and contrasts each cloud service provider based on their computing capability. 2022 IEEE. -
Internet of Things and Indian Banking Industry: Applications and Challenges
Technological advancements have changed the way people think about how they operate. Various new approaches to work and processes have been identified after adopting various technological changes. This paper discusses various changes adopted by the finance and banking sector with the help of various successful changes in the banking industry. The banking sector, where human-to-human interaction was the core of operating technology, has made it machine-to-machine. Various significant and recent changes have been discussed, followed by some challenges faced by this industry even after successfully adopting technology. The Author(s), under exclusive license to Springer Nature Singapore Pte Ltd. 2025. -
Internet of Things and Machine Learning based Intelligent Irrigation System for Agriculture
Irrigated agriculture methods need a significant volume of water, and causes water waste. It is critically necessary to install an efficient watering system and lessen the volume of water wasted on this tiresome chore. It is a huge benefit of the computer vision (ML) - the Internet of Everything (Ot) era to construct expert machines that carry out this work successfully with little human endeavour. This work suggests an Embedded device Fluid ounces suggestion method for efficient water use with little farm involvement. In the agricultural field, IoT sensors are set up to capture important atmospheric and surface data. The obtained information is sent to and stored on a cloud-based server, where machine learning techniques are used to evaluate the information and recommend treatment to the farmers. This recommender system has an internal development process that makes the solution resilient and flexible. The test demonstrates that the suggested method operates admirably on the agricultural dataset from the National Institutes of Technology (Kit) Bhubaneswar as well as the information that we obtained. 2022 IEEE. -
Internet of Things Based Autonomous Borewell Management System
Water is a basic need for all living beings. At present, due to a large population, water level is getting depleted at an alarming rate particularly in urban region. During summer season, there is no continuous flow of water or availability of water. In electrical contingency situations, bore-wells are prone to damages. The utilization of power at dry run condition affects the economy of the consumers. Despite having no water in the bore-well, if the motor runs, the motor windings may burdened and gives rise to unnecessary power loss. In the present scenario, conservation of energy is a major concern. The conservation of energy as a whole will take place when an individual take an active part by using autonomous and effective methodologies or controllers. The issue is solved by managing the borewell using Internet of Things (IoT) as a platform to automate and manage. The IoT based borewell management system is designed to provision scheduling, manual operation, avoidance of borewell motor running at dry run condition and also nullifies energy loss. The automated borewell operations can be executed from a remote control and measurement unit by the measurement of electrical parameters and analytics. The proposed system minimizes man power, saves time and conserve energy loss. The paper presents operating the conventional borewell by deployment of smart controller which handles the information and communication technology at client and base units. Springer Nature Switzerland AG 2020. -
Internet of things based metaheuristic reliability centered maintenance of distribution transformers
The transformer is a vital component of the power system. Continuous stress on the transformer due to overload, transient and faults will lead to physical damages. The isolation of the transformer causes significant revenue loss and inconvenience to the consumers at the distribution level. This invites the need to achieve a reliable power supply to the consumers and to perform maintenance activity appropriately. Optimized and predictive maintenance strategies are evolved to improve power availability for consumers. The model considers dispersive generation at the customer end, namely solar photovoltaics standalone system, diesel generation, and vehicle to load capabilities. Incipient or critical status of transformers' functional parameters are observed through the transformer terminal unit and sent to the internet of things platform. The remote processing unit acquires the information from all the distribution transformer and generates the optimized and reliability-centered maintenance schedule. In the proposed work, new reliability indices concerning the consumer dispersive generation are defined. The maximization of the reliability problem is solved using the coconut tree optimization technique. The highest reliability of power supply to the consumer and maintenance schedule are obtained. Economic facet of the estimated maintenance schedule exhibit benefit for both utility and consumer as it encapsulate time of use tariff. The heuristic dataset is used to synthesize the trained model by the machine learning algorithm and future maintenance schedule is predicted. The comparative study is made for the outcome of time-based optimized and predicted maintenance schedules against reliability. 2020 Institute of Physics Publishing. All rights reserved. -
Internet of Things Enabled Device Fault Prediction System Using Machine Learning
Internet of Things (IOT) started as a niche market for hobbyists and has evolved into a huge industry. This IoT is convergence of manifold technologies, real-time analytics, machine learning and Artificial Intelligence. It has given birth to many consumer needs like home automation, prior device fault detection, health appliances and remote monitoring applications. Programmed recognition and determination of different kinds of machine disappointment is a fascinating process in modern applications. Different sorts of sensors are utilized to screen flaws that is discovers vibration sensors, sound sensors, warm sensors, infrared cameras, light cameras, and other multispectral sensors. The modern devices are becoming ubiquitous and pervasive in day to day life. This device is need for reliable and predicate algorithms. This article is primarily emphases on the prediction of faults in real life appliances making our day to day life easier. Here, the database of the device includes previous faults which are restored in online by using cloud computing technology. This will help in the prediction of the faults in the devices that are to be ameliorated. It additionally utilizes Nae Bayes calculation for shortcoming location in the gadgets. The proposed model of this article is involves the monitoring of each and every home appliance through internet and thereby detect faults without much of human intervention. Springer Nature Switzerland AG 2020. -
Internet of Things Enabled Smart Hand Gesture Virtual Mouse System
This research is aim to focus on IoT based hand gesture model. Mouse is one of the most important input devices of a computer. It works as a pointing device and allows the user to move the pointer as needed by the user. In the early days, a wired mechanical mouse was used for this purpose. In mechanical mouse a ball is fixed underneath the mouse, which rotates as the user moves the mouse. This movement of the ball is used to move the mouse pointer on the screen. Now mostly we use optical mouse which can be wired or wireless. An optical mouse has a high-power laser below it, which takes more than thousand pictures of the surface below the mouse. An image comparator compares the images and sends the signal to move the mouse pointer as the texture of the image changes. Both the types of mouse works based on old technology. As technology leaps to greater heights, the need for simplicity also increases. With the invention of different kind of sensors, microcontrollers and other electronics, we can eliminate the mouse as an input device and instead use our hands to do the work of a mouse. This prototype is an embedded system which runs with the help of an arduino microcontroller. Flex sensors are used to capture the hand gestures. The proposed IoT based hand gesture model is providing high accuracy rate compare to the regular model. The proposed model is analyzed with accuracy level, the average accuracy level of proposed model is more than 90%. 2025 IEEE. -
Internet of Things Enhancing Sustainability of Business
When one assumes that the current era is the era for digital revolution then the Internet of Things (IoT) is supposed to be one of the most significant among all. It is the IoT which is assisting the bussinesses. Current IoT applications, on the other hand, are still in their early stages, and the true capacity of viable business opportunities has yet to be realised. However, IoT adoption may need considerable integration and experienced personnel. It also frequently generates new requirements in terms of security and interoperability, or the ability for different computer hardware systems as well as software applications to "speak"to one another. 2022 IEEE. -
Internet of things for building a smart and sustainable environment: A survey
In the previous decade, internet of things (IoT) has emerged as a transformative force in the quest to create smarter and more sustainable environments. By interconnecting a large array of sensors, devices, and infrastructure, IoT technology enables the real-time collection, analysis, and utilization of data to optimize resource management, improve decision-making, and reduce environmental impact. In smart cities, homes, industries, and agricultural settings, IoT plays a pivotal role in achieving resource efficiency, environmental preservation, and economic growth. However, its widespread adoption also poses several challenges related to privacy, security, and interoperability. As IoT continues to evolve, it promises to shape a future where sustainability and technological innovation go hand in hand, making a path toward more resilient, efficient, and livable environments. 2024, IGI Global. All rights reserved. -
Internet of Things in Bioelectronics: Emerging Technologies and Applications
This book provides a comprehensive exploration of the exciting intersection between technology and biology and delves into the principles, applications, and future directions of IoT in the realm of bioelectronics; it serves as both an introduction for those new to the field and as a detailed reference for experienced professionals seeking to deepen their knowledge. The rapid convergence of technology and biology heralds a new era of evolution in the Internet of Things (IoT), a transformative force enabling interconnected devices to communicate and operate with unparalleled synergy. This is particularly true in the groundbreaking field of bioelectronics, where the fusion of biological systems with electronic devices and IoT is reshaping the landscape of bioelectronics, promising to open up new frontiers in healthcare, diagnostics, and personalized medicine. This timely book explores the numerous ways in which IoT-enabled bioelectronic devices are used to monitor and enhance human health, from wearable sensors that track vital signs to implantable devices that can communicate with healthcare providers in real time. One central theme of this book is the transformative impact of IoT on healthcare. By enabling continuous, remote monitoring of patients, IoT technologies are not only improving the accuracy of diagnostics but also making healthcare more accessible and personalized. The book also addresses the critical issues of securing health records on the internet, which are of paramount importance as we increasingly rely on interconnected devices to collect and transmit sensitive health information. Additional attention is paid to the future directions of IoT in bioelectronics and the integration of innovative areas, such as artificial intelligence, machine learning, and big data analytics, in driving the development of ever more sophisticated and capable bioelectronic systems. Audience The target audience includes professionals, researchers, academics, and students involved in various fields related to bioelectronics, IoT, healthcare, biotechnology, engineering, and related disciplines. 2024 Scrivener Publishing LLC. -
Internet of Things Security and Privacy Issues in Healthcare Industry
The Internet of Things (IoT) is an imagines unavoidable, associated, and hubs connecting independently while offering a wide range of administrations. Wide conveyance, receptiveness and moderately high handling intensity of IoT objects made them a perfect focus for digital assaults. Additionally, the same number of IoT center points is assembling and taking care of private data, they are changing into a goldmine of information for malignant on-screen characters. Subsequently, security and particularly the capacity to recognize traded off hubs, together with gathering and safeguarding confirmations of an assault or malignant exercises develop as a need in effective arrangement of IoT systems. This paper is deal with some major security problems and challenging factors of IoT. This IoT security issues on really challenging factor in current world. 2019, Springer Nature Switzerland AG. -
Internet of Things-Based Smart Agriculture Advisory System
The Internet era provides a lot of automation tools for data analysis, and it is the need of the hour to develop new analytical tools to manage the big data. For task automation, machine learning and expert systems are of primary importance to study the behavior of computer thinking to involve computers in sensible work, known as computational intelligence. The data involves varied formats such as structured, unstructured, as well as semi-structured, and it is an automation tool that uses computational intelligence to extract valid and potential information from the sources. The specific purpose of this proposed work is to meet out computing demands which highly rely on computational intelligence. Computational intelligenceinvolves the design and deployment of an analytical tool for multidimensional data analytics. The proposed integrated framework focuses on multidimensional data analytics, for crop and plant data, especially plants that contain medicinal values and components. This research works main aim is to create a secured data tool for agriculture crop data management through big data (crops and plants) analytics. The data security is enhanced through applied cryptography, and the final phase prediction on crops is done by various machine and deep learning algorithms. The specific objective of this research work is to help farmers in making informed decisions for the enhancement of cultivation and information. The Author(s), under exclusive license to Springer Nature Switzerland AG 2024. -
Internet of things-based virtual private social networks on a text messaging strategy on mobile platforms
A virtual private social network (VPSN) allows a device to communicate securely with a network via the internet. Confidential data may be sent more securely thanks to the encrypted connection; it allows the user to operate remotely and prevents unauthorised parties from listening in. A mobile messaging platform is a text-enabled mailbox on the web. They enable companies and organisations to communicate with clients via text message. Social networking organisations may now use compute resources as a utility instead of creating and managing their computer infrastructures thanks to cloud computing (CC). An example of how a distributed sensor-actor environment might be used in a sociology-technical network is shown in this paper. The results are obtained as regular media access actively is 85.7%, security services in IoT is 85.37%, text attackers is 83.6%, loss of information is 82.8%, and blocking text messages is 91.48%. Copyright 2024 Inderscience Enterprises Ltd. -
Internet of Things: Immersive Healthcare Technologies
Internet of Things (IoT) can be defined as a system that consists of a group of things where information is exchanged with the help of the internet, sensors, and devices. The boom of IoT is mainly because of the factor that it does not require human influence and can take place independently in utilizing digital information from physical devices. The main concern is how the integration of these technologies creates unique applications for the ease of human life. This chapter discusses various technologies of IoT in healthcare and their numerous applications in medical field. It also introduces the involvement of augmented reality that is acquiring a new dimension in the Internet of Things. 2022, The Author(s), under exclusive license to Springer Nature Switzerland AG. -
Internet of things: Service-oriented architecture opportunities and challenges
Internet of Things is now a subject that is increasingly growing on both the job and modern devices. It is a concept that maybe not just get the potential to influence how we live but in addition how we work. Intelligent systems in IoT machines in many cases are used by various events; consequently, simultaneous information collection and processing are often anticipated. Such a characteristic that is exclusive of systems has imposed brand new challenges towards the designs of efficient data collection processes. This article is to be discussing various layers in Internet of things. Those layers are sensing layer, network layer, service layer and application layer. Various data processing techniques are integrated along with data filtering and data conversion. Protocol transformation is also feeling the major challenges faced by enterprises wanting to shift to the style in brand new technology. Springer Nature Singapore Pte Ltd. 2020. -
Interparental Conflict and Young Adult Romantic Relationships: A Systematic Review
In the last two decades, researchers have been progressively investigating the impact of interparental conflict (IPC) on young adults romantic relationships. This systematic review aimed to synthesize literature on IPC and romantic relationship outcomes among young adults and highlight mechanisms found in this link. Following the PRISMA protocol, 3232 studies were identified using Boolean searches on ProQuest, PubMed, EBSCOhost, Jstor, Cochrane, and Google Scholar, and 17 met the eligibility criteria. To be included, in addition to having IPC and romantic relationship outcomes as variables, studies had to be quantitative in design, have a mean sample age of 1825, include only participants in romantic relationships at the time of the study, and be published in English with full text available. The review found that IPC is associated with negative conflict management, both perpetration and victimization of aggression, worse communication, negative conflict behaviors, and poor relationship quality. Other outcomes like relationship satisfaction, commitment, as well as mediator variables in the link between IPC and young adult romantic relationship outcomes, such as attitudes towards marriage and conflict attributions, yielded varied results. Several shortcomings in the methodology of the reviewed articles, such as the research sample and measures, were discovered. To deal with the impact of IPC on offsprings romantic relationships, preventive interventions should be designed and evaluated, and more research with different variables and study designs, with more men, other ethnicities, and more representative sample frames are needed to detect crucial mediators and obtain reliable and generalizable results. The Author(s) 2022. -
Interpenetrated Robust Metal-Organic Framework with Urea-Functionality-Decked Pores for Selective and Ultrasensitive Detection of Antibiotics and Oxo-anions
Conjoining the benefits of structural diversity and deliberate implantation of task-specific sites inside the porous channels, metal-organic frameworks (MOFs) not only ensure environmental remediation via acute detection of organic as well as inorganic pollutants but also rationalize structure-performance synergies to devise smarter materials with advanced performances. Herein, we report a urea-functionality-grafted Co(II)-framework (UMOF) based on a mixed ligand approach. The 3-fold interpenetrated and [Co2(COO)4N4] building unit-containing structure exhibits high stability and free-carboxamide-site-decorated microporous channels. Assimilation of high-density hydrogen-bond donor groups plus the ?-electron-rich aromatic ligand benefits the UMOF acting as a selective fluoro-sensor for three noxious antibiotics through remarkable quenching, including nitrofurazone (NFT, Ksv: 3.2 104 M-1), nitrofurantoin (NFZ, Ksv: 3.0 104 M-1), and sulfamethazine (SMZ, Ksv: 3.3 104 M-1) with ppb level limits of detection (LODs, NFT: 110.42, NFZ: 97.89, and SMZ: 78.77). The mechanistic insight of luminescence quenching is supported from density functional theory calculations, which endorse the electron-transfer route via portraying variation in the energy levels of the urea group-affixed linker by individual organo-toxins, besides verifying analyte-linker noncovalent interactions. The framework further demonstrates highly discriminative turn-off detection of oxo-anions with extreme low LODs (Cr2O72-: 73.35; CrO42-: 189; and MnO4-: 49.96 ppb). Of note is the reusability of the UMOF toward multicyclic sensing of all the organic and inorganic analytes besides their fast-responsive detection, where variable magnitudes of energy-transfer contributions unequivocally authenticate the turn-off event. 2023 American Chemical Society. -
Interplay between personality and attitude towards emotions with creative self concept among young adults
Creative self-concept, intimately intertwined with the personality traits and plays a pivotal role in shaping individuals behavioral tendencies. Personality traits are largely responsible to influence how people perceive and navigate their creative abilities and self-expression. Moreover, attitudes towards emotions are another key facet of ones psychological landscape, impacting their inclination to perceive, process, and manage emotional experiences. Keeping this view, the present research attempts to explore the interconnectedness of creative self-concept, personality traits, and attitudes towards emotions among young adults, as well as focuses on exploring the predictors of creative self concept. For this purpose participants consisted of 200 young adults with a mean age of 21.20 years. Statistical outcomes revealed that creative self concept is a significant positive correlate of openness, conscientiousness, extraversion, agreeableness, attitude towards sadness, and attitude towards fear. Additionally, stepwise multiple regression analysis confirmed that openness (R2 = 27%), neuroticism (R2 = 2%) and attitude towards sadness (R2 = 2%) emerged as the significant predictors of creative self concept. Findings from the current research concludes that for young adults to have self-perception in the realm of creativity, personality traits and attitude towards emotions are significant contributing factors. By recognizing and employing these connections, individuals, educators, counselors, and practitioners can contribute to the cultivation of creativity and personal development. The Author(s) 2024. -
Interplay of financial inclusion and economic growth in emerging economies
This study delves into the complex link between financial inclusionboth traditional and digitaland economic growth across emerging economies from 1990 to 2022, using Dynamic Simulated ARDL and Driscoll-Kraay Standard Error techniques. Key findings highlight that traditional financial inclusion correlates positively with economic growth, whereas digital financial inclusion presents obstacles. Additionally, fiscal, monetary, and trade policies play vital roles: fiscal policies in Brazil, Colombia, and Mexico focus on infrastructure, social programs, and tax reforms, respectively, to spur growth. Monetary policies include Brazil's inflation targeting, Turkey's interest rate adjustments, and India's MUDRA scheme, which promotes entrepreneurship. Trade policies, such as Chile's Free Trade Agreements and Mexico's participation in NAFTA, improve market access and economic resilience, while Egypt and Saudi Arabia focus on foreign direct investment and economic diversification. The study emphasizes coordinated policy efforts for sustained growth, advocating for financial inclusion supported by robust regulations and government investments in critical areas like infrastructure and healthcare. Central banks contribute by maintaining price stability and credit access, while strategic trade agreements and export diversification enhance economic resilience. The focus of the study on emerging economies and macro-level insights calls for further research at the micro-level to refine these results. By maintaining policy coherence and regular evaluations, these strategies aim to foster inclusive, long-term economic growth. 2025 The Author(s)