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Sudip, Chakraborty, and S. Aithal P. "Alexa Enabled IoT Device Simulation Using C# And AWS Lambda." International Journal of Case Studies in Business, IT, and Education (IJCSBE) 7, no. 3 (2023): 359–68. https://doi.org/10.5281/zenodo.8329375.
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<strong>Purpose: </strong><em>Nowadays, device operation using voice commands is becoming popular. Several voice command services are available. Among them, Alexa from Amazon is the most popular. Almost Every day, vendors are integrating Alexa into their new products worldwide. We need physical devices for the device operation or understanding of the process flow of Alexa. Sometimes, physical devices are costly, or availability is poor. Here, we demonstrated how to create a simulated Alexa-enabled IoT device. We used several Amazon cloud services to execute the process flow. Alexa's skill is developed inside the Alexa developer console. To process the command, we use the AWS Lambda function. AWS IoT cloud service is used to trigger IoT devices over MQTT. For simulated devices, we are using a C# MQTT client. The researcher trying to simulate an Alexa-enabled device into their project can get some reference information from this work.</em> <strong>Design/Methodology/Approach</strong>: <em>We create a graphical user interface(GUI) to interact with the user or display the device's status. The GUI is connected with the C# AWS IoT Device Shadow client. We created IoT Things in the AWS cloud. Under the IoT Shadow, we created a Device shadow. The Alexa service triggers the lambda function. The Lambda function updates the Shadow register, which resides inside the cloud. The c# shadow client receives a notification when the device Shadow updates and updates the GUI element that represents the equipment. We can use any Alexa device to send voice commands, like the Alexa mobile app, Echo Dot, or Alexa PC app.</em> <strong>Findings/Result: </strong><em>Through this research work, we created and tested virtual devices that can be experiments or research work using Alexa voice commands. It has been tested for a long time. It performed well, and no issue was found. Using more code-level protection it can be robust for practical implementation.</em> <strong>Originality/Value: </strong><em>We found several fragmented documents over the web to implement Alexa-enabled virtual devices. After lots of study, we did practical and included the procedure in this research work. From voice input to load trigger, there are lots of steps involved. The complete guidance is not available easily. So through this research work, if someone follows, they can easily create a voice-operated device. This research work may add value to the researcher experimenting with the Alexa command-activated device.</em> <strong>Paper Type: </strong><em>Experimental-based Research.</em>
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Sudip, Chakraborty, and S. Aithal P. "Virtual IoT Device In C# WPF Using Sinric Pro." International Journal of Applied Engineering and Management Letters (IJAEML) 6, no. 2 (2022): 307–13. https://doi.org/10.5281/zenodo.7473766.
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<strong>Purpose: </strong><em>IoT is becoming the leading player in the industrial automation environment. In most scenarios, We experiment with IoT using a physical device. We can also research using a virtual device that can perform as real hardware. Without buying any physical hardware, we can visualize the status of the operating load or device which is being triggered through the IoT server or client endpoint. The researcher who is not from an electronics background or does not have sufficient knowledge to continue IoT research can do experiments using it. This paper will show how we can create such kinds of virtual instruments or devices. We use the C# client application adopted from Sinric Pro. We simplified the client module for new researchers in the IoT field for easy understanding. We added some Graphical user elements to display the status of the devices in real-life we see. The code is available for customization. </em> <strong>Design/Methodology/Approach</strong>: <em>We create and configure the device inside the Sinric Pro IoT server. Download the C# client and customize it for better understanding. We added some graphical elements to display the status of the load. Then we trigger the load from any endpoint like Alexa, the server dashboard, or a mobile phone application.</em> <strong>Findings/Result: </strong><em>We get better load status visibility using the GUI element and a minimalistic code structure to send or receive the data to and from the IoT server. Through this concept, we made IoT development or demonstration easy. With slight modifications, we can use this procedure to communicate with any IoT server. </em> <strong>Originality/Value: </strong><em>V</em><em>arious clients of fake load for IoT are available. Here we are experimenting more realistic way. Fetching the status and triggers the load using visual indication as the real world does. So it will be more understandable to us, and also, we can trigger the load from our GUI, which has the feature to send the value to the respective load.</em> <strong><em>Paper Type: </em></strong><em>Experimental-based Research.</em>
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Brody, Paul, and Veena Pureswaran. "The next digital gold rush: how the internet of things will create liquid, transparent markets." Strategy & Leadership 43, no. 1 (2015): 36–41. http://dx.doi.org/10.1108/sl-11-2014-0094.
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Purpose – The article analyses the market changes that are likely to be produced by and Internet of Things comprised of hundreds of billions of connected devices. Design/methodology/approach – Based on an IBM study, the authors foresee an Internet of Things emerging as a low-cost, private-by-design “democracy of devices” that will enable new digital economies and create new value, while offering consumers and enterprises fundamentally better products and user experiences. Findings – The IoT creates the ability to digitize, sell and deliver physical assets as easily as with virtual goods today. Using everything from Bluetooth beacons to Wi-Fi-connected door locks to allow customer access, many physical assets will become digital services. Practical implications – In a device-driven democracy, conference rooms, hotel rooms, cars and warehouse bays can themselves report capacity, utilization and availability in real-time. By taking raw capacity and making it easy to be utilized commercially, the IoT can remove barriers to fractionalization of industries that would otherwise be impossible. Originality/value – The article paints a compelling picture of a future in which the Internet of Things initiates five vectors of disruption by: Unlocking excess capacity of physical assets. 2. Creating liquid, transparent marketplaces. 3. Radical re-pricing of credit and risk. 4. Improving operational efficiency. 5. Digitally integrating value chains.
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Lola, João, Carlos Serrão, and João Casal. "Towards Transparent and Secure IoT: Improving the Security and Privacy through a User-Centric Rules-Based System." Electronics 12, no. 12 (2023): 2589. http://dx.doi.org/10.3390/electronics12122589.
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In recent years, we have seen a growing wave in the integration of IoT (Internet of Things) technologies into society. This has created new opportunities, but at the same time given rise to several critical issues, creating new challenges that need to be addressed. One of the main challenges is the security and privacy of information that is processed by IoT devices in our daily lives. Users are, most of the time, unaware of IoT devices’ personal information collection and transmission activities that affect their security and privacy. In this work, we propose a solution that aims to increase the privacy and security of data in IoT devices, through a system that controls the IoT device’s communication on the network. This system is based on two basic and simple principles. First, the IoT device manufacturer declares their device’s data collection intentions. Second, the user declares their own preferences of what is permitted to the IoT device. The design of the system includes tools capable of analyzing packets sent by IoT devices and applying network traffic control rules. The objective is to allow the declaration and verification of communication intentions of IoT devices and control the communication of such devices to detect potential security and privacy violations. We have created a test-bed to validate the developed solution, based on virtual machines, and we concluded that our system has little impact on how the overall system performed.
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Maroşan, Iosif-Adrian, and George Constantin. "Wireless communication based on Raspberry pi and Codesys for mobile robots using IoT technology." MATEC Web of Conferences 343 (2021): 08008. http://dx.doi.org/10.1051/matecconf/202134308008.
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The industrial environment is going through exponential changes, due to the diversity of technological solutions that appear more and more frequently and the increase of productivity at increasing capacities. Due to this fact in the industrial area the number of devices, processing systems, collaborative robots, mobile robots and industrial equipment is increasing more and more. Consequently, there is a need for communication and connectivity of entities, common physical or virtual functioning and decision making, all of which are fundamental to the transition to the new concept of Industry 4.0. This study presents how wireless communication can be achieved in a mobile robotic platform that serves an industrial sector with other equipment in the production area, such as industrial equipment, collaborative industrial robots or other mobile robots. Also in this paper is presented how to create an HMI interface for the mobile platform that can be accessed from a touchscreen display mounted on the robot or from any mobile device connected to the internet.
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Dillip Kumar Parida. "Enhancing the Metaverse: Integrating IoT Devices to Elevate User Experience." Power System Technology 49, no. 2 (2025): 1654–83. https://doi.org/10.52783/pst.1943.
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This paper explores the integration of IoT devices in the Metaverse to enhance the user experience. This study aims to provide insights into optimizing user interaction within virtual environments by examining design considerations, challenges, and potential solutions. The findings highlight the significance of seamless and immersive experiences, addressing latency, security, and interoperability issues. Here, they focus on features such as ‘‘ease of use,’’ ‘‘customizable and friendly’’ user interfaces, and ‘‘interactivity’’ as opportunities; ‘‘latency’’ and ‘‘security risks’’ as threats. We present possible resolutions such as edge computing, analytics tools, and several security measures to respond to these threats. This paper aims to investigate how the use of IoT devices influences the Metaverse from the user’s perspective and how designers can enhance it accordingly. The proposed solutions include the following: introducing several measures to optimize the use of IoT devices in the Metaverse design and tempering with the Metaverse design to create a more engaging, safe, and secure environment for the user. Future research directions are also suggested to improve the integration of the IoT in the Metaverse. DOI : https://doi.org/10.52783/pst.1943
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El-Haggar, Nahla, Lobna Amouri, Albandari Alsumayt, Fatemah H. Alghamedy, and Sumayh S. Aljameel. "The Effectiveness and Privacy Preservation of IoT on Ubiquitous Learning: Modern Learning Paradigm to Enhance Higher Education." Applied Sciences 13, no. 15 (2023): 9003. http://dx.doi.org/10.3390/app13159003.
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The progress made in Information and Communication Technologies (ICT) has played a crucial role in turning the Internet of Things (IoT) into a reality. IoT is an emerging technology that refers to networks of interconnected and Internet-enabled objects equipped with sensors, processors, and actuators that interact with each other to create significant collaboration and interaction environments. The field of education is one of the areas where IoT can be applied. However, the implementation of IoT poses security and privacy risks, such as unauthorized access, denial-of-service (DoS) attacks, and interference with wireless signals where IoT devices collect a significant amount of data, including user’s personal information like identity, location, and daily behavior. Therefore, it is crucial to protect users’ privacy in IoT applications. The innovative Ubiquitous Learning Environments (ULEs) have been created by ubiquitous computing technologies (mobile, wireless, network), which provide learners with learning experiences beyond the traditional classroom in both the real and virtual worlds. Ubiquitous learning (U-learning) is an emerging technology as a result of the tremendous technological revolution of ICT. U-learning is a novel learner-centered approach that aims to enhance learning, motivation, and creativity by utilizing innovative technology and IoT. U-learning enables learners to access the appropriate learning content, collaborate with the right learning partners, and engage in self-learning at the right time and place in a ubiquitous computing environment. To support learners in developing their social skills, in this study a framework for implementing the ULE based on the Internet of Things is designed, which consists of three main layers: perception, network, and application. The article explores the effects of IoT on education and how U-learning, which incorporates IoT to enhance learning experiences, has the potential to replace traditional classroom learning. Furthermore, the article addresses privacy preservation measures for different layers within the IoT environment and ULE. A framework for implementing the ULE model is in progress, which is a part of our future work.
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Borra, Subba Reddy, Smitha Khond, and D. Srivalli. "Security and Privacy Aware Programming Model for IoT Applications in Cloud Environment." International Journal on Cloud Computing: Services and Architecture 13, no. 1 (2023): 01–12. http://dx.doi.org/10.5121/ijccsa.2023.13101.
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The introduction of Internet of Things (IoT) applications into daily life has raised serious privacy concerns among consumers, network service providers, device manufacturers, and other parties involved. This paper gives a high-level overview of the three phases of data collecting, transmission, and storage in IoT systems as well as current privacy-preserving technologies. The following elements were investigated during these three phases:(1) Physical and data connection layer security mechanisms(2) Network remedies(3) Techniques for distributing and storing data. Real-world systems frequently have multiple phases and incorporate a variety of methods to guarantee privacy. Therefore, for IoT research, design, development, and operation, having a thorough understanding of all phases and their technologies can be beneficial. In this Study introduced two independent methodologies namely generic differential privacy (GenDP) and Cluster-Based Differential privacy ( Cluster-based DP) algorithms for handling metadata as intents and intent scope to maintain privacy and security of IoT data in cloud environments. With its help, we can virtual and connect enormous numbers of devices, get a clearer understanding of the IoT architecture, and store data eternally. However, due of the dynamic nature of the environment, the diversity of devices, the ad hoc requirements of multiple stakeholders, and hardware or network failures, it is a very challenging task to create security-, privacy-, safety-, and quality-aware Internet of Things apps. It is becoming more and more important to improve data privacy and security through appropriate data acquisition. The proposed approach resulted in reduced loss performance as compared to Support Vector Machine (SVM) , Random Forest (RF) .
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Asif, Rameez, and Syed Raheel Hassan. "Exploring the Confluence of IoT and Metaverse: Future Opportunities and Challenges." IoT 4, no. 3 (2023): 412–29. http://dx.doi.org/10.3390/iot4030018.
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The Internet of Things (IoT) and the metaverse are two rapidly evolving technologies that have the potential to shape the future of our digital world. IoT refers to the network of physical devices, vehicles, buildings, and other objects that are connected to the internet and capable of collecting and sharing data. The metaverse, on the other hand, is a virtual world where users can interact with each other and digital objects in real time. In this research paper, we aim to explore the intersection of the IoT and metaverse and the opportunities and challenges that arise from their convergence. We will examine how IoT devices can be integrated into the metaverse to create new and immersive experiences for users. We will also analyse the potential use cases and applications of this technology in various industries such as healthcare, education, and entertainment. Additionally, we will discuss the privacy, security, and ethical concerns that arise from the use of IoT devices in the metaverse. A survey is conducted through a combination of a literature review and a case study analysis. This review will provide insights into the potential impact of IoT and metaverse on society and inform the development of future technologies in this field.
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Talewar, Mohit. "Jarvis Personal Assistant." International Scientific Journal of Engineering and Management 04, no. 06 (2025): 1–9. https://doi.org/10.55041/isjem04084.
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ABSTRACT The Jarvis Virtual Assistant is an intelligent, voice-activated AI system designed to assist users with daily tasks, enhance productivity, and provide real-time information through natural language interaction. Inspired by the fictional AI from Iron Man, this project leverages technologies such as speech recognition, text-to-speech, machine learning, and natural language processing to create a userfriendly interface capable of understanding and executing voice commands. Key functionalities include searching the internet, managing files, sending emails, playing media, controlling IoT devices, and providing reminders and weather updates. Developed using Python and various APIs, the assistant emphasizes modularity, scalability, and personalization, making it a practical tool for both personal and professional use. The Jarvis Virtual Assistant demonstrates how AI can be integrated into daily life, pushing the boundaries of human-computer interaction.
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Liang, Xiangkun. "Smart Stadiums and the Future of Sports Entertainment: Leveraging IoT, AI, and Blockchain for Enhanced Fan Engagement and Venue Management." Applied and Computational Engineering 138, no. 1 (2025): 155–60. https://doi.org/10.54254/2755-2721/2025.21386.
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The research presented in this paper demonstrates how smart stadiums can use IoT, AI, and blockchain technologies for boosting fan engagement and operational efficiency. The research investigates the application of technology to both elevate fan experiences and streamline venue management operations. Stadium operations use IoT devices like sensors and cameras to track crowd movements and control seating while maintaining optimal environmental conditions which together improve service delivery. AI-driven applications improve customer satisfaction by offering personalized fan interactions through recommendation systems alongside virtual assistants and augmented reality features. Blockchain technology enables secure and transparent ticketing systems as well as digital collectible transactions which operate without fraud. The paper discusses implementation difficulties these technologies face which include concerns about data privacy as well as infrastructure expenses and scalability issues. Smart stadiums create an enhanced fan experience along with better operational management while generating new revenue streams and eliminating operational inefficiencies. Additional research should investigate how combining 5G with cloud computing technologies can boost smart stadium operations and improve fan interactions.
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Benesha, Joel, Jim Lee, Daniel A. James, and Barbara White. "Are You for Real? Engineering a Virtual Lab for the Sports Sciences Using Wearables and IoT." Proceedings 49, no. 1 (2020): 110. http://dx.doi.org/10.3390/proceedings2020049110.
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In tertiary education, disciplines such as sports science that require experimental components in their courses represent a significant challenge for online and distance education. This paper demonstrates the design and construction of an enriched experiment, together with the prototype software solution which can all be operated remotely using a web-based client. It presents research that investigated how to visualise data from internet of things (IoT) sensor devices (inertial sensor) used for tracking football sideline throw-ins. In this simple experiment, data was collected from one footballer, fitted with a single inertial sensor. A two-dimensional (2D) video, three-dimensional (3D) motion capture system and inertial sensor were all used to detect the release point of a sideline ball throw-in. In this project, inertial sensor data was used to create a 3D model using web graphical language and three.js.
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Ipseeta, Nanda, Gautam Taruna, and Feston Niviya. "EMBRACING INNOVATION: EXPLORING TECH TRENDS TRANSFORMING STARTUP STRATEGIES." Empirical Economics Letters 23, Special Issue 3 (2024): 15–20. https://doi.org/10.5281/zenodo.11353668.
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Numerous technological innovations present challenges and opportunities for startups to expand in today's rapidly immerging digital ecosystem. This paper looks at the key technology advancements that have an impact on startups' digital strategies. Five primary themes illustrate various façades of the startup ecosystem's adaptation to technological progress. Firstly, the development of artificial intelligence (AI) is changing what way company owners handle customer service, product development, and operational efficiency. These days startups are using blockchain technology to power applications such as supply chain management, digital identity verification, and Decentralized Finance (DeFi) in opening new avenues for novelty and disruption. Startups encourage development and scalability by employing AI-powered technology to analyse vast volumes of data, personalize user experiences, and automate time-consuming operations. Thirdly IoT (Internet of Things) is generously giving business owners the ability to create networks, ecosystems of platforms, sensors, and devices. Additionally, it supports predictive analytics, real-time monitoring, and data collection. Smart cities, healthcare, and agriculture are just a few of the sectors that IoT-driven technology is transforming. These technologies offer enterprises fresh ways to deliver value. Fourth, businesses are transforming data visualization, employee training, and consumer contact using Augmented Reality (AR) and Virtual Reality (VR) technologies. Applications for AR and VR are used by many sectors to boost user engagement and brand distinctiveness. Two such are interactive gaming environments and virtual product demonstrations. Finally, as entrepreneurs negotiate the digital realm, cybersecurity continues to be a key worry. Startups need to put cybersecurity first to safeguard their resources, client information, and reputation in a world where connections are becoming more and more scarce. To maximize the potential of blockchain, AI, IoT, AR/VR, and cybersecurity, the author of this article analyses tech trends and corporations and adjusts their strategy. Businesses can prosper in the fast-paced digital world of today if they keep abreast of technological developments and understand how to leverage them.
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Sheikhbahei, Erfan, and Aysu AKILLI ARI. "Harnessing the Power of Emerging Digital Technologies for improved Sustainability and Productivity in Biomedical Engineering and Neuroscience." Scientific Hypotheses 1 (April 18, 2024): 47–52. http://dx.doi.org/10.69530/v8tgp793.
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This article discusses the potential of using digital technologies like blockchain, AI, IoT and big data analytics to improve resource efficiency, supply chain management, decision making and reduce fraud. It highlights how blockchain can create a transparent and tamper-proof system for tracking forest products from harvest to sale, reducing fraud and improving sustainability. The implementation of blockchain is argued to lead to substantial improvements in supply chain management through increased transparency and traceability. Moreover, AI, blockchain, IoT and advanced analytics are said to help optimize production and supply chains, detect fraud early, and improve forecasting and risk management for more efficient policies. The adoption of technologies like IoT, smart sensors and standardized data protocols is also outlined as a way to revolutionize sectors like agriculture, manufacturing and energy through enhanced productivity and efficiency. Emerging digital technologies like artificial intelligence, bioengineering, internet of things, data analytics and digital transformation offer immense potential to address global challenges and drive progress. Artificial intelligence and machine learning algorithms can be applied to improve healthcare, education, transportation and resource management by processing large datasets. When combined with IoT, these technologies enable precision agriculture, predictive maintenance, and smart infrastructure for sustainable development. Advancements in bioengineering such as synthetic biology, biomimicry and biomanufacturing aim to solve problems in medicine, energy and environment by emulating nature. IoT connects physical objects through sensors and networks to collect and exchange data, allowing devices, vehicles and systems to become intelligent and autonomous. Analytics on these Big Data sets from connected products, facilities and natural systems help reveal valuable insights for evidence-based decision making. Digital transformation of industries and business models leverages these technologies to enhance productivity, efficiency and consumer experiences through virtual and augmented realities, cloud computing and automated processes. However, responsible innovation through interdisciplinary research and governance is required to ensure such progress addresses societal needs, reduces inequalities and minimizes environmental impacts. Cross-sector collaborations involving industry, academia and policymakers can help maximize benefits while preemptively mitigating potential risks.
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Little, Bob, and Ladislava Knihova. "Modern trends in learning architecture." Industrial and Commercial Training 46, no. 1 (2014): 34–38. http://dx.doi.org/10.1108/ict-07-2013-0046.
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Purpose – The purpose of this paper is to examine current practice in blended learning – notably the view of blended learning as a synthesis of different approaches to the delivery of learning in order to create high impact learning. Design/methodology/approach – An exploration of the development of blended learning over the years, especially how it is being affected by developments in learning delivery technology and learning design. Findings – Learning architecture and design ought to be enhanced by the thoughtful use of various new tools, strategies and delivery platforms working in harmony. Only then can the learning process finally become highly attractive for new generations of learners. Research limitations/implications – New trends driving virtual learning prescribe the use of a portfolio of new tools. This, therefore, is producing changes in e-learning architecture, including the need for multi-device learning solutions, along with the need to implement multimedia formats in producing virtual learning solutions. Simultaneously, for educators, there have been changes in learning solutions' design based on the emergence of the self-determined and autonomous learner, as described by the concept of heutagogy. Practical implications – The complexities of creating an appropriate blend along with the most effective learning solutions for each learner – including the use of mobile platforms and social learning – have never been more challenging. Originality/value – Customising learning is in its early stages but, with the advent of new delivery technology and the growth of self-determined learners, it will become unavoidable.
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Wittenburg, Peter, Christophe Blanchi, Claus Weiland, et al. "The Vision of the FAIR Digital Object Machine and Ubiquitous FDO Services." Research Ideas and Outcomes 8 (October 12, 2022): e95268. https://doi.org/10.3897/rio.8.e95268.
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In addition to the previous intensive discussion on the "Data Deluge" with respect to enormous increase of available research data, the 2022 Internet-of-Things conference confirmed that in the near future there will be billions if not trillions of smart IoT devices in a very wide range of applications and locations, many of them with computational capacities. This large number of distributed IoT devices will create continuous streams of data that will require a global framework to facilitate their integration into the Internet to enable controlled access to their data and services, to name but a few aspects. This framework would enable tracking of these IoT devices to measure their resource usage for instance to globally address the UN Sustainable Development Goals. Additionally, policy makers are committed to define regulations to break data monopolies and increase sharing. The result will be an increasingly huge domain of accessible digital data which on the one hand allows addressing new challenges especially cross-sector ones. A key prerequisite for this is to find the right data across domain boundaries supporting a specific task.Digitisation is already being called the fourth industrial revolution and the emerging data and information is the 21<sup>st</sup> century's new resource. Currently this vision is mostly unrealised due to the inability of existing data and digital resources to be findable, accessible, interoperable, and reusable despite the progress in providing thematic catalogs. As a result, the capacity of this new resource is latent and mostly underutilized. There is no Internet level infrastructure that currently exists to facilitate the process by which all data and digital resources are made consistently and globally accessible. There are patchworks of localized and limited access to trusted data on the Internet created by specific communities that have been funded or directed to collaborate.To turn digital information into a commodity, description, access to, validation, and processing of data needs to become part of the Internet infrastructure we call the Global Integrated Data Space (GIDS). The main pillars of this approach require that data and services be globally identified and consistently accessed, with predictive descriptions and access control to make them globally findable.Currently researchers are relying partly on informal knowledge such as knowing the labs and persons to maximize the chance to access trustworthy data, but this method is limiting the use of suitable data. In the future data scenario, other mechanisms will become possible. In the public information space Google-like searches using specific key terms have become an accepted solution to find documents for human consumption. This approach however, does not work in the GIDS with large numbers of data contributors from a wide range of institutions, from millions of IoT devices worldwide, and where a wide range of data types and automatic data processing procedures dominate. Indeed, successful labs that apply complex models describing digital surrogates can automatically leverage data and data processing procedures from other labs. This makes the currently often operationally applied manual stitching of data and operations too costly both in time and resources to be a competitive option. A researcher looking for specific brain imaging data for a specific study has a few options:Rely on a network of colleagues.Execute Google-like searches in known registries looking for appropriate departments and researchers.Execute Google-like searches on suitable data.He/she engages an agent to execute profile matching in suitable sub-spaces.We assume that data creators will have the capability and be interested to create detailed metadata of different types and that the researchers, who are looking for specific data, will be able to specify precise profiles for data they are looking for. Two of the key characteristics of the future data space will be operations that can carry out profile matching at ultra-high speeds and that will lead to various subspaces according to some facets using self-organizing mechanisms. Of course, this poses high requirements on the metadata quality being used and that creators and potential consumers share knowledge about the semantic space in which they operate, and available semantic mappings used by brokers or self-provided. Metadata must be highly detailed and suitable schemas have been developed already in many communities. In addition to the usual metadata, potential users will need to specify their credentials in the form of trusted roles and their usage purposes to indicate access opportunities.Changing current metadata practices to yield richer metadata as presribed by the FAIR principles will not be simple, especially since we seem to be far away from formalizing roles and usage purposes in a broadly accepted way, but the pressure to create rich and standardized metadata will increase. It should be noted of course that for data streams created by IoT sensors, defining proper metadata is an action that is only requested once or a few times.Why are FDOs special in this automatic profile matching scenario? FDOs are bundling all information required for automatic profile matching in a secure way, i.e., all metadata information are available via the gloablly unique resolvable and persisten identifiers (PID) of the FDO and the PID security mechanisms are at the basis to establish trust. FDOs will be provided with a secure method that is capable of computing efficiently coded profiles representing all properties of an FDO relevant for profile matching. This would speedup profile matching enormously.We will address two major questions characterizing the "FDO Machine" we are envisioning:Which kinds of representations could make profile matching much more efficient?How could FDO-based mechanisms be used to efficiently create sub-spaces that would help the emerging layer of information brokers to offer specialized services addressing specialized needs as for example requested by UN's Sustainable Development Goals?Brokers might want to use specialized agents to create subspaces along many different important facets such as domains, trustworthiness, roles, etc. Such subspaces are ephemeral virtual structures on top of the huge global integrated data space.
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Thompson, Odion Igunma, Kehinde Adeleke Adeniyi, and Sikhakhane Nwokediegwu Zamathula. "Developing networked metrology systems to optimize smart manufacturing applications through real-time data integration." International Journal of Trends in Emerging Research and Development 1, no. 1 (2023): 340–56. https://doi.org/10.5281/zenodo.14874576.
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Smart manufacturing relies on real-time data integration to enhance efficiency, precision, and productivity in industrial operations. Networked metrology systems (NMS) play a crucial role in achieving this by ensuring accurate and reliable measurements across interconnected manufacturing processes. This paper explores the development of NMS to optimize smart manufacturing applications through real-time data integration. By leveraging advanced sensor networks, artificial intelligence (AI), and the Industrial Internet of Things (IIoT), NMS facilitate seamless data collection, analysis, and feedback, enabling adaptive manufacturing control. The study highlights the key components of NMS, including high-precision metrology instruments, wireless communication protocols, cloud-based data storage, and edge computing. These elements work in tandem to provide continuous monitoring, reducing measurement uncertainty and improving process stability. The integration of AI-driven analytics enhances predictive maintenance, process optimization, and decision-making by identifying deviations and ensuring corrective actions are taken in real time. Additionally, the paper examines various challenges in implementing NMS, such as data security, interoperability, and scalability. To address these concerns, the study proposes a robust framework incorporating blockchain for secure data transactions, standardized communication protocols for interoperability, and scalable architectures to accommodate evolving manufacturing demands. The findings indicate that adopting NMS significantly enhances manufacturing precision, reduces downtime, and lowers operational costs by minimizing errors and rework. The research further explores case studies where NMS have been successfully deployed in industries such as aerospace, automotive, and medical device manufacturing. These case studies demonstrate how real-time metrology integration leads to improved product quality, faster production cycles, and enhanced supply chain efficiency. Future research directions include the advancement of digital twin technology to create virtual models of manufacturing systems, enhancing predictive capabilities through AI-driven simulations. Furthermore, developing self-calibrating metrology instruments can further improve accuracy and reduce the need for manual intervention. In conclusion, networked metrology systems represent a transformative innovation in smart manufacturing by enabling real-time data integration, enhancing operational efficiency, and ensuring higher product quality. Their continued evolution, driven by AI, IIoT, and blockchain technologies, will shape the future of precision manufacturing.
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Fadziso, Takudzwa, Harshini Priya Adusumalli, and Mahesh Babu Pasupuleti. "Cloud of Things and Interworking IoT Platform: Strategy and Execution Overviews." Asian Journal of Applied Science and Engineering 7, no. 1 (2018): 85–92. http://dx.doi.org/10.18034/ajase.v7i1.49.
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An IoT platform is a multi-layer system that enables linked device automation. IoT platforms are enabling software that connects various hardware devices, access points, and networks to other sections of the value chain. Virtual objects are now essential in any IoT platform. In this work, we design and create a cloud-based IoT platform that allows users to register and initialize virtual objects, then consume them via the IoT marketplace and integrate them into IoT applications. The proposed IoT platform differs from previous IoT platforms in that it provides both hardware and software services on a single platform. The proposed IoT platform is distinct from the IoT marketplace where users can buy and sell virtual things. Based on virtual items in CoT, IoT platform and IoT marketplace experiments are undertaken. The proposed IoT platform is easy to use, secure, and trustworthy. An IoT testbed and a case study for reusing virtual objects in a residential environment are developed. It allows for virtual object discovery and sharing. Virtual objects can monitor and operate IoT devices.
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Sudip, Chakraborty, and S. Aithal P. "Let Us Create An IoT Inside the AWS Cloud." International Journal of Case Studies in Business, IT, and Education (IJCSBE) 7, no. 1 (2023): 211–19. https://doi.org/10.5281/zenodo.7726980.
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<strong>Purpose: </strong><em>The Internet of Things (IoT) has become essential to modern technological advancements, with various industries leveraging its capabilities. One of the significant challenges of IoT implementation is the storage, processing, and analysis of the vast amounts of data generated. AWS is a popular platform for IoT operation. This paper proposes using Amazon Web Services (AWS) as a cloud computing platform for IoT applications. By leveraging AWS's robust infrastructure, scalability, and cost-effectiveness, IoT developers can focus on creating innovative applications that transform businesses and improve customer experiences. The interface of the various AWS service has changed. Using the New AWS IoT console, we demonstrate how to create IoT device shadows.</em> <strong>Design/Methodology/Approach</strong>: <em>IoT Thing is the backbone of any IoT interaction. First, we create Our AWS account. Because without an account, it can not operate IoT devices. After a successful account setup, we create our things. After that, We create a device shadow, which is used to update or fetch the device data among the devices interconnected through the Internet. There are several ways to interact with device shadows. Here we talk about the few most straightforward and efficient ways, the hardware devices like ESP8266/ESP32 wifi modules, using MQTT and IoT device clients. Another efficient way is communicating through the Lambda function, which can create an Alexa-operated IoT device.</em> <strong>Findings/Result: </strong><em>There are several ways to create an internet of things. Probably the best and most reliable platform is AWS. Its security and interface are user-friendly. Here, through a simple illustration, we discussed how to create Things inside the AWS cloud, the backbone of transferring or fetching data from one end to another over the Internet.</em> <strong>Originality/Value: </strong><em>The several documents available over the web for understanding and creating the AWS IoT. Here, through simple illustration, we demonstrate how we can easily use AWS's new interface. Our researchers working or going to experiment with AWS's new IoT console can get valuable reference information for their research.</em> <strong>Paper Type: </strong><em>Experimental-based Research.</em>
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Knieps, Günter. "Internet of Things, future networks, and the economics of virtual networks." Competition and Regulation in Network Industries 18, no. 3-4 (2017): 240–55. http://dx.doi.org/10.1177/1783591718784398.
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The Internet of Things (IoT) gains momentum. Developments regarding smart grids, intelligent transportation systems, and low-power networks for smart cities constitute significant drivers in the evolution of network industries. IoT creates an array of new requirements for information and communications technology (ICT) data transmission: In addition to real-time and data geopositioning, new service characteristics result from the change of the traditional sender–receiver perspective of Transmission Control Protocol/Internet Protocol (TCP/IP) to content relevancy for many users (e.g. cloud computing) and dynamic changes of the state of devices. The future development and success of IoT hinges critically on the provision of heterogeneous quality of service (QoS) requirements which cannot be provided by best-effort TCP/IP Internet. It is thus not surprising that both in the US and the EU network neutrality regulations are currently being reconsidered. Alternative network logistics (virtual networks) dealing with heterogeneous QoS requirements of network traffic may require fundamental deviations from traditional Internet architectures. Corresponding logistics operating over joint physical infrastructures gain increasing attention under the heading of future networks (FNs). The goal of this article is to focus on the economic mechanisms of how the potentials of QoS differentiation in the context of FNs can be fully exploited and incentivized within innovative all-IP-based QoS traffic architectures.
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Sudip, Chakraborty, and S. Aithal P. "Let Us Create Multiple IoT Device Controller Using AWS, ESP32 And C#." International Journal of Applied Engineering and Management Letters (IJAEML) 7, no. 2 (2023): 27–34. https://doi.org/10.5281/zenodo.7857660.
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<strong>Purpose: </strong><em>The Internet of Things (IoT) has revolutionized how we interact with our environment by allowing various devices to connect and communicate. In this paper, we propose the development of a multiple IoT device controller using Amazon Web Services (AWS), ESP32, and C# programming language. The proposed system will allow users to control and monitor multiple IoT devices simultaneously through a centralized platform. The ESP32, a low-cost wifi module, will interface with the IoT devices and transmit data to the AWS IoT Core. The C# programming language will be used to develop the user interface and handle user requests. The proposed multiple IoT device controller using AWS, ESP32, and C# programming language is expected to provide a practical solution for managing and controlling multiple IoT devices, improving user experience, and advancing IoT technology. The code used in this paper is ready to download for continuing the research work.</em> <strong>Design/Methodology/Approach</strong>: <em>The proposed system uses AWS IoT Core to manage the devices and their data. The ESP32 module connects to the IoT devices and sends/receives data to/from AWS IoT Core. The device controller application is developed using C# programming language to control the IoT devices. AWS IoT Core manages IoT devices and their data. The IoT devices are registered with AWS IoT Core, and their unique identifiers are stored in the AWS IoT Core registry. The ESP32 module is programmed to connect to the wifi network using the wifi module. This enables the module to access the internet and connect to AWS IoT Core. </em> <strong>Findings/Result: </strong><em>We developed a multiple-device controller using AWS IoT and ESP32 modules here. We created a single-channel IoT in AWS and broadcast it to all devices. Every message consists device id. All devices will receive the message but are responsible only for a specific device. For multicast messages, the response is by multiple devices. The c# application is the master; all ESP32 devices are clients. </em> <strong>Originality/Value: </strong><em>Most net documents are dedicated to the IoT device creation procedure. Here we demonstrate the complete example, i.e., how to create IoT Devices in the AWS server, the node devices, and control from the C# application. So the interested researcher can get complete information to integrate IoT into their project. </em> <strong>Paper Type: </strong><em>Experimental-based Research.</em>
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Sudip, Chakraborty, and S. Aithal P. "Let Us Create an Alexa Skill for Our IoT Device Inside the AWS Cloud." International Journal of Case Studies in Business, IT, and Education (IJCSBE) 7, no. 2 (2023): 214–25. https://doi.org/10.5281/zenodo.7940237.
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<strong>Purpose: </strong>The Internet of Things (IoT) has changed how we interact with technology, allowing us to control and monitor devices remotely from our smartphones or other devices. One of the most popular ways of interacting with IoT devices is through voice assistants like Amazon Alexa. To integrate an IoT device with Alexa, developers must create a custom Alexa skill to understand voice commands and communicate with the IoT device. This research paper presents a practical guide for developers interested in creating custom Alexa skills for their IoT devices. It covers the essential steps in setting up the AWS IoT platform, designing the Alexa skill's interaction model, and testing the Skill. <strong>Design/Methodology/Approach</strong>: We decided which load or equipment would be operated using the Alexa voice command. Then we thought about quickly consuming minimal words for each device operation. We prepared the command list in the Excel sheet and a command prototype for Alexa utterances. We created an AWS account in the AWS cloud server and started to create the new Skill. Finally, we must add the AWS lambda function ARN to the Alexa default Endpoint to update the IoT Device shadow for connected devices. <strong>Findings/Result: </strong> This research demonstrates that the development of an Alexa skill for IoT devices in the AWS Cloud is a reliable, efficient, and flexible approach that has the potential to revolutionize the way we interact with IoT devices in our daily lives. <strong>Originality/value: </strong>The novelty of this research lies in the fact that it provides a step-by-step guide to developing an Alexa skill for IoT devices in the AWS Cloud. It will also help researchers and developers understand the complexities of developing Alexa skills for IoT devices in the AWS Cloud and how these skills can be used to control IoT devices anywhere. This research will add value to the field by providing developers with the necessary tools and techniques to develop sophisticated and reliable Alexa skills for IoT devices in the AWS Cloud. <strong>Paper Type: </strong>Experimental-based Research.
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Sudip, Chakraborty, and S. Aithal P. "Let Us Create A Physical IoT Device Using AWS and ESP Module." International Journal of Management, Technology, and Social Sciences (IJMTS) 7, no. 1 (2023): 224–33. https://doi.org/10.5281/zenodo.7779097.
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<strong>Purpose: </strong>This research paper explores the feasibility of creating a physical AWS IoT device using an ESP module. The paper describes the steps and process of building such a device, including the required hardware and software components. The ESP module is chosen for its low cost, small size, and ability to connect to the internet through Wi-Fi. The AWS IoT platform manages and monitors the device, including the ability to receive and send data to and from the device. The paper includes a detailed explanation of the programming and setup involved in creating the device and the challenges and limitations encountered during the process. Ultimately, this paper demonstrates that creating a physical AWS IoT device using an ESP module is possible, providing a cost-effective solution for developers looking to build IoT devices. The project code is available to download. <strong>Design/Methodology/Approach</strong>: Initially, we create things inside the AWS cloud. Download all certificates and credentials. Then the downloaded credential, we added to the project variable—the Code compiles and runs. Our ESP8266 hardware is then ready to receive the topic. We use two channels to send the topic to our ESP Module. We can send topics using the AWS cloud MQTT test client interface. Another way is from the C# dot net MQTT client application. We develop an application in the visual studio that can update the AWS device shadows. We will notice that data sending to the AWS Device shadows and updating the ESP module almost in real-time. <strong>Findings/Result: </strong>We use the ESP module to experiment with the AWS IoT interface. Sometimes researchers need to transfer the data over IoT. So here we provide the complete practical guide for IoT experiments. Here we demonstrate How to create the IoT devices and send/update the IoT Devices' Shadow. We integrated the C# MQTT client. Using our created application, we will update AWS cloud MQTT devices shadows. It might be more help full for new researchers to integrate IoT into their projects. <strong>Originality/Value: </strong>After studying Several documents, we created this paper after doing lots of experiments so that our researcher could experiment easily. The available Code is wholly tested and workable. Our researchers can integrate it into their projects with a little customizing effort. The researcher can find some revenant documents for their research work. <strong>Paper Type: </strong>Experimental-based Research.
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Sudip, Chakraborty, and S. Aithal P. "How to make IoT In C# using Sinric Pro." International Journal of Case Studies in Business, IT, and Education (IJCSBE) 6, no. 2 (2022): 523–30. https://doi.org/10.5281/zenodo.7331694.
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<strong>Purpose: </strong><em>Nowadays, IoT, or the internet of things, is a popular technological term. Any device operation is possible anywhere in the world using IoT. It controls the Device using a couple of telemetry protocols. Here we will describe how we can experiment with IoT using the Sinric Pro IoT platform. We will test without any hardware. We will also operate our Device from Alexa and Sinric Pro mobile app. the IoT client is written in C#. The complete project code is adopted from Sinric Pro. The Researcher can modify and integrate the code as their research needs. </em> <strong>Design/Methodology/Approach</strong>: <em>Sinric Pro is a popular IoT service. First, we create our account on the Sinric Pro website. Then we configure devices and note the API key, secret key, and device id. We add those keys to our C# application and run the client application. The running client receives a command from various sources. We also Configure the mobile application to send the command through apps. </em> <strong>Findings/Result: </strong><em>This procedure helps us understand the data flow between the IoT server and the client. We can understand what happens inside the client application using a state diagram. We can use it as a demonstration tool and possibly to trigger the actual Device. Fetching the load status from the client application might trigger the controller board through the serial port.</em> <strong>Originality/Value: </strong><em>Sometimes Researcher can not get the actual hardware for the experiment due to availability or cost constraints. This procedure might help them. Working with existing hardware also need some basic electronics knowledge. Otherwise, severe damage can occur inside the working system. There is no such risk in this procedure, and it produces the result efficiently. </em> <strong>Paper Type: </strong><em>Simulation-based Research.</em>
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Sudip, Chakraborty, and S. Aithal P. "How to make IoT in C# using Sinric Pro." International Journal of Case Studies in Business, IT, and Education (IJCSBE) 6, no. 2 (2022): 523–30. https://doi.org/10.5281/zenodo.7335167.
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<strong>Purpose: </strong><em>Nowadays, IoT, or the internet of things, is a popular technological term. Any device operation is possible anywhere in the world using IoT. It controls the Device using a couple of telemetry protocols. Here we will describe how we can experiment with IoT using the Sinric Pro IoT platform. We will test without any hardware. We will also operate our Device from Alexa and Sinric Pro mobile app. the IoT client is written in C#. The complete project code is adopted from Sinric Pro. The Researcher can modify and integrate the code as their research needs. </em> <strong>Design/Methodology/Approach</strong>: <em>Sinric Pro is a popular IoT service. First, we create our account on the Sinric Pro website. Then we configure devices and note the API key, secret key, and device id. We add those keys to our C# application and run the client application. The running client receives a command from various sources. We also Configure the mobile application to send the command through apps. </em> <strong>Findings/Result: </strong><em>This procedure helps us understand the data flow between the IoT server and the client. We can understand what happens inside the client application using a state diagram. We can use it as a demonstration tool and possibly to trigger the actual Device. Fetching the load status from the client application might trigger the controller board through the serial port.</em> <strong>Originality/Value: </strong><em>Sometimes Researcher cannot get the actual hardware for the experiment due to availability or cost constraints. This procedure might help them. Working with existing hardware also need some basic electronics knowledge. Otherwise, severe damage can occur inside the working system. There is no such risk in this procedure, and it produces the result efficiently. </em> <strong>Paper Type: </strong><em>Simulation-based Research.</em>
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Abhiram, Sanal, Sebastian Anjana, K. Haripriya, V. Adatte Nevin, and S. Sneha. "Virtual Smart Home Automation." Research and Reviews: Advancement in Robotics 7, no. 3 (2024): 4–10. https://doi.org/10.5281/zenodo.13317690.
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<em>This is a first step towards the emerging technology automation. This project demonstrates how to implement a simple automation system in our own home. Along with the automation system home security features are included for additional safety to the home using fingerprint sensors and a camera module for a sophisticated smart door lock system. Real-time security alerts and notifications are sent to user's mobile phones, ensuring immediate awareness and control over the security posture of their homes. Motion detection sensor detects motion and sends the instantaneous image to the user's telegram account. Home appliances are seamlessly connected through ESP32 devices, enabling effective communication and control within the smart home ecosystem. The development of this Virtual Smart Home Automation system is powered by Unity and Vuforia, serving as the primary tools for AR development. These technologies contribute to creating a dynamic and immersive control environment. To identify the room temperature and humidity DHT11 sensor is used. Along with the hardware side, a user interface is created which provides a better user experience and better interaction. </em>
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Khan, Muhammad Sohail, and DoHyeun Kim. "DIY Interface for Enhanced Service Customization of Remote IoT Devices: A CoAP Based Prototype." International Journal of Distributed Sensor Networks 2015 (2015): 1–8. http://dx.doi.org/10.1155/2015/542319.
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DIY vision for the design of a smart and customizable world in the form of IoT demands the involvement of general public in its development process. General public lacks the technical depths for programming state-of-the-art prototyping and development kits. Latest IoT kits, for example, Intel Edison, are revolutionizing the DIY paradigm for IoT and more than ever a DIY intuitive programming interface is required to enable masses to interact with and customize the behavior of remote IoT devices on the Internet. This paper presents the novel implementation of such a system enabling general public to customize the behavior of remote IoT devices through a visual interface. The interface enables the visualization of the resources exposed by a remote CoAP device in the form of graphical virtual objects. The VOs are used to create service design through simple operations like drag-and-drop and properties settings. The design is maintained as an XML document, thus being easily distributable and recognizable. CoAP proxy acts as an operation client for the remote device and also provides communication link between the designer and the device. The paper presents the architecture, detailed design, and prototype implementation of the system using state-of-the-art technologies.
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GALAJDOVA, ALENA, and ROBERT RAKAY. "LONG RANGE IOT COMMUNICATION." MM Science Journal 2021, no. 4 (2021): 4781–85. http://dx.doi.org/10.17973/mmsj.2021_10_2021038.
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The article deals with the design of wireless automation system. The proposed systems compare wireless data transmission devices. The main components and their parameters, which are necessary for building such system and base steps how to create and test a device are described. The created systems can serve as a suitable basis for remote monitoring and control systems in open space applications such as weather system or small-scale home automation system and can be used as an example in the education of students in fields such as Automation or Mechatronics.
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GALAJDOVA, ALENA, and ROBERT RAKAY. "LONG RANGE IOT COMMUNICATION." MM Science Journal 2021, no. 4 (2021): 4781–85. http://dx.doi.org/10.17973/mmsj.2021_10_2021038.
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The article deals with the design of wireless automation system. The proposed systems compare wireless data transmission devices. The main components and their parameters, which are necessary for building such system and base steps how to create and test a device are described. The created systems can serve as a suitable basis for remote monitoring and control systems in open space applications such as weather system or small-scale home automation system and can be used as an example in the education of students in fields such as Automation or Mechatronics.
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Arman, Ala, Pierfrancesco Bellini, Daniele Bologna, Paolo Nesi, Gianni Pantaleo, and Michela Paolucci. "Automating IoT Data Ingestion Enabling Visual Representation." Sensors 21, no. 24 (2021): 8429. http://dx.doi.org/10.3390/s21248429.
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The Internet of things has produced several heterogeneous devices and data models for sensors/actuators, physical and virtual. Corresponding data must be aggregated and their models have to be put in relationships with the general knowledge to make them immediately usable by visual analytics tools, APIs, and other devices. In this paper, models and tools for data ingestion and regularization are presented to simplify and enable the automated visual representation of corresponding data. The addressed problems are related to the (i) regularization of the high heterogeneity of data that are available in the IoT devices (physical or virtual) and KPIs (key performance indicators), thus allowing such data in elements of hypercubes to be reported, and (ii) the possibility of providing final users with an index on views and data structures that can be directly exploited by graphical widgets of visual analytics tools, according to different operators. The solution analyzes the loaded data to extract and generate the IoT device model, as well as to create the instances of the device and generate eventual time series. The whole process allows data for visual analytics and dashboarding to be prepared in a few clicks. The proposed IoT device model is compliant with FIWARE NGSI and is supported by a formal definition of data characterization in terms of value type, value unit, and data type. The resulting data model has been enforced into the Snap4City dashboard wizard and tool, which is a GDPR-compliant multitenant architecture. The solution has been developed and validated by considering six different pilots in Europe for collecting big data to monitor and reason people flows and tourism with the aim of improving quality of service; it has been developed in the context of the HERIT-DATA Interreg project and on top of Snap4City infrastructure and tools. The model turned out to be capable of meeting all the requirements of HERIT-DATA, while some of the visual representation tools still need to be updated and furtherly developed to add a few features.
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del Campo, Guillermo, Edgar Saavedra, Luca Piovano, Francisco Luque, and Asuncion Santamaria. "Virtual Reality and Internet of Things Based Digital Twin for Smart City Cross-Domain Interoperability." Applied Sciences 14, no. 7 (2024): 2747. http://dx.doi.org/10.3390/app14072747.
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The fusion of Internet of Things (IoT), Digital Twins, and Virtual Reality (VR) technologies marks a pivotal advancement in urban development, offering new services to citizens and municipalities in urban environments. This integration promises enhanced urban planning, management, and engagement by providing a comprehensive, real-time digital reflection of the city, enriched with immersive experiences and interactive capabilities. It enables smarter decision-making, efficient resource management, and personalized citizen services, transforming the urban landscape into a more sustainable, livable, and responsive environment. The research presented herein focuses on the practical implementation of a DT concept for managing cross-domain smart city services, leveraging VR technology to create a virtual replica of the urban environment and IoT devices. Imperative for cross-domain city services is interoperability, which is crucial not only for the seamless operation of these advanced tools but also for unlocking the potential of cross-service applications. Through the deployment of our model at the IoTMADLab facilities, we showcase the integration of IoT devices within varied urban infrastructures. The outcomes demonstrate the efficacy of VR interfaces in simplifying complex interactions, offering pivotal insights into device functionality, and enabling informed decision-making processes.
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Nath, Narayan Chandra, and Omar Faruq. "The application of cybersecurity in smart city innovations: an AI aspect." Современные инновации, системы и технологии - Modern Innovations, Systems and Technologies 5, no. 2 (2025): 3025–39. https://doi.org/10.47813/2782-2818-2025-5-2-3025-3039.
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Internet of Things (IoT), Artificial Intelligence (AI), and Machine Learning (ML) have enabled "Smart Cities," opening up new municipal governance and civic participation prospects. Technological advances improve infrastructure, efficiency, and urban ecology. These complex systems pose cybersecurity risks that require new solutions for protecting information systems. This article creates digital twins using IoT, AI, and ML to study cybersecurity in Smart Cities (SCs). The IoT connects the city's transportation networks, services, and government offices to form a unified system. The system improves efficiency, decision-making, and robotics using AI and ML. This relationship boosts the economy, green behavior, and citizens' lives. Smart cities are subject to hacking, privacy breaches, and system disruptions due to their computer dependency. Modern urban areas face complicated safety problems due to IoT, AI, and ML. Most IoT devices lack security mechanisms, making them accessible to scammers. Biased ML and AI theories may affect results. This paper examines how virtual copies reduce supply chain cybersecurity risks. Simulations of actual commodities and infrastructure help model and assess supply chain vulnerabilities. These synthetic copies help us find weaknesses, simulate cyberattacks, and assess their effects. IoT, AI, and ML connected smart cities offer pros and cons. The paper recommends employing replicas to reduce cybersecurity risks and putting safety first in supply chain development and management.
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Reenu Shukal and Dr. Gaurav Khandelwal. "An Analysis of Implementable Security Algorithms in the internet of things Envioronment." Journal of Advances in Science and Technology 20, no. 2 (2024): 109–15. http://dx.doi.org/10.29070/a1f2r165.
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In the scientific community, the Internet of Things (IoT) is the latest buzzword. We live in an age where Internet access is not only possible for the vast majority of the population, but also increasingly affordable. The number of gadgets with internet access and built-in sensors continues to rise. Indeed, the prevalence and prevalence of smart phones, and the use of such devices, are on the rise. With this idea, anybody can hook up any device to the web. However, a major security issue will arise from the practise of storing and communicating data with anyone and any device. It's also unclear how well data can be transferred, communicated, and shared in this setting. In this paper, we discuss concerns about IoT security, including those of privacy, reliability, and accessibility. The rapidly evolving applications made possible by the IoT have drastically altered daily life, making it feel more fantastical and akin to living in a virtual world. Due to its open nature, the Internet of Things (IoT) might pose significant security challenges. A variety of methods, including encryption, are employed to protect the information transmitted by IoT devices.
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Šarga, Patrik, and Martin Studený. "POSSIBILITIES OF STRESS MEASUREMENT IN STRUCTURES USING MODERN TECHNOLOGIES." TECHNICAL SCIENCES AND TECHNOLOGIES, no. 3(21) (2020): 249–58. http://dx.doi.org/10.25140/2411-5363-2020-3(21)-249-258.
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Urgency of the research. In many industrial areas, knowledge of deformation stresses in materials is required. Mainly for safety, continuous monitoring of the condition, the maintenance planning, overall prediction of the service life of structures, as well as for other reasons aimed at saving money and time required for repairs.Target setting. The research aimed to create a "low-cost" monitoring device for monitoring the stresses in the structure, created on the principle of IoT. Actual scientific researches and issues analysis. When designing the system and preparing this paper, we considered both current sources – publications and papers dealing with the current state of development of the monitoring IoT systems as well as existing solutions, which are available on the market. Uninvestigated parts of general matters defining. The mobile application was not implemented at this stage. It will be implemented in the next stage of development. The research objective. The purpose of this article is to explain how we can create own IoT monitoring system by using Arduino platform. The statement of basic materials. In our work were used components from Arduino, which is the world’s leading open-source hardware and software ecosystem. The company offers a range of software tools, hardware platforms and documentation enabling almost anybody to be creative with technology. Conclusions. The created IoT monitoring device was created on the Arduino platform. The software part was implemented in the Arduino IoT Cloud environment. Testing of the device has proven its functionality during the practical deployment of the created system. It is possible to modify it to best suit the specified requirements.
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Kim, Cheol-Min, and Seok-Joo Koh. "Device Management and Data Transport in IoT Networks Based on Visible Light Communication." Sensors 18, no. 8 (2018): 2741. http://dx.doi.org/10.3390/s18082741.
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LED-based Visible Light Communication (VLC) has been proposed as the IEEE 802.15.7 standard and is regarded as a new wireless access medium in the Internet-of-Things (IoT) environment. With this trend, many works have already been made to improve the performance of VLC. However, the effectively integration of VLC services into IoT networks has not yet been sufficiently studied. In this paper, we propose a scheme for device management and data transport in IoT networks using VLC. Specifically, we discuss how to manage VLC transmitters and receivers, and to support VLC data transmission in IoT networks. The proposed scheme considers uni-directional VLC transmissions from transmitter to receivers for delivery of location-based VLC data. The backward transmission from VLC receivers will be made by using platform server and aggregation agents in the network. For validation and performance analysis, we implemented the proposed scheme with VLC-capable LED lights and open sources of oneM2M. From the experimental results for virtual museum services, we see that the VLC data packets can be exchanged within 590 ms, and the handover between VLC transmitters can be completed within 210 ms in the testbed network.
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Erdeniz, Seda Polat, Andreas Menychtas, Ilias Maglogiannis, Alexander Felfernig, and Thi Ngoc Trang Tran. "Recommender systems for IoT enabled quantified-self applications." Evolving Systems 11, no. 2 (2019): 291–304. http://dx.doi.org/10.1007/s12530-019-09302-8.
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Abstract As an emerging trend in big data science, applications based on the Quantified-Self (QS) engage individuals in the self-tracking of any kind of biological, physical, behavioral, or environmental information as individuals or groups. There are new needs and opportunities for recommender systems to develop new models/approaches to support QS application users. Recommender systems can help to more easily identify relevant artifacts for users and thus improve user experiences. Currently recommender systems are widely and effectively used in the e-commerce domain (e.g., online music services, online bookstores). Next-generation QS applications could include more recommender tools for assisting the users of QS systems based on their personal self-tracking data streams from wearable electronics, biosensors, mobile phones, genomic data, and cloud-based services. In this paper, we propose three new recommendation approaches for QS applications: Virtual Coach, Virtual Nurse, and Virtual Sleep Regulator which help QS users to improve their health conditions. Virtual Coach works like a real fitness coach to recommend personalized work-out plans whereas Virtual Nurse considers the medical history and health targets of a user to recommend a suitable physical activity plan. Virtual Sleep Regulator is specifically designed for insomnia (a kind of sleep disorder) patients to improve their sleep quality with the help of recommended physical activity and sleep plans. We explain how these proposed recommender technologies can be applied on the basis of the collected QS data to create qualitative recommendations for user needs. We present example recommendation results of Virtual Sleep Regulator on the basis of the dataset from a real world QS application.
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Anjum H N, Tasmiya. "IOT And AI – Powered Personalized Guest Engagement." INTERNATIONAL JOURNAL OF SCIENTIFIC RESEARCH IN ENGINEERING AND MANAGEMENT 09, no. 04 (2025): 1–9. https://doi.org/10.55041/ijsrem45003.
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In order to improve visitor engagement and event customisation, this paper describes the design and implementation of a virtual concierge system based on AI and IoT. The system incorporates a chatbot driven by Natural Language Processing (NLP) for real-time communication, IoT sensors to detect the presence of guests, and facial recognition technologies to identify guests. Additionally, it uses cloud storage to synchronize data in real-time and actuators to carry out physical tasks like presenting guests with roses. Key technologies include OpenCV for image processing, Convolutional Neural Networks (CNN) for facial recognition, and frameworks like Dialogflow or Rasa for chatbot creation. The system makes sure that hardware elements like servo motors, cameras, motion sensors, and ESP32 microcontrollers integrate seamlessly. Through the automation of data administration and visitor interaction, this system offers a novel approach to event and hospitality management, demonstrating how AI and IoT can be used to create individualized experiences. Key words: IoT sensors, chatbot interaction, natural language processing (NLP), facial recognition, convolutional neural networks (CNN), cloud storage, automation, guest engagement, event management, and virtual concierges powered by AI.
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Yunus Tjandi and Zulhajji. "SISTEM KONTROL PERANGKAT LISTRIK HEMAT ENERGI PADA BANGUNAN BERBASIS BERBASIS INTERNET OF THINGS (IoT)." SEMINAR NASIONAL DIES NATALIS 62 1 (July 31, 2023): 526–34. http://dx.doi.org/10.59562/semnasdies.v1i1.1073.
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Accidents caused by improper use of electricity have been widely aired on TV media and On Line media. To prevent this, it is hoped that people who install electrical installations must be certified and are expected to know about how IoT-based energy-efficient control devices work. This research aims to: 1) To create an Energy-Saving Electrical Device Control System Software in IoT-Based Buildings that functions to control the use of electrical energy in a building with the help of a Smartphone, 2) produce an Energy-Saving Control System Device using the software that has been created, 3) To create an Interface and Application of the Internet Of Things (IoT) Based Energy Saving Control System device with the help of a Smartphone that functions to control electrical devices in buildings, both from a short distance, and remotely. Data collection in this study uses interview techniques with control experts, literature techniques, and direct measurement techniques of the control devices used. The data analysis method used in this research is the logical method, based on the Internet of Things (IoT) based control system. The results showed that: 1) The Internet Of Things (IoT)-based Energy Saving Control System Software created has functioned properly, this is evidenced by the functioning of all control systems, both in the safety system (MCB), as well as for various controlled loads, 2). The Internet Of Things-based Energy Saving Control System device made, has functioned properly, this is evidenced in the research trial using a Smartphone, 3). Interface and Control System Applications based on the Internet of Things have functioned properly, because they have been able to control electrical equipment devices contained in a building according to design.
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Gayatri, Mohanta. "Sensor Data Recording and Alerts Notification using IFTTT with ESP32." Journal of Recent Trends in Electrical Power System 5, no. 3 (2023): 1–12. https://doi.org/10.5281/zenodo.7511369.
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<em>IoT's main value is data. Real-time data from different sources, stored and processed into actionable insights to transform and optimise processes is invaluable. This is why the device cloud is an important (and sometimes expensive) part of the architecture of any IoT solution since the data must be easily accessed for analysis. For individuals looking to deploy pilots and prototypes of scalable work on a budget, coughing up huge sums for data storage on platforms like Azure can be a burden. While there are tonnes of free IoT platforms, they sometimes have restrictions that make them unsuitable in certain situations. This work will cover a cheap/free cloud storage alternative. How to connect IoT devices to Google Sheets to log data. Google Sheets is used to creating spreadsheets instead of Microsoft Excel. It can be integrated with dozens of Google services, like Maps, to create innovative solutions. Google made it easy for developers to programmatically fill in data into a Google sheet using APIs and Gscript, which we have used for this work. To demonstrate Google Sheets as a device cloud, we have built a simple IoT temperature and humidity monitor. Using DHT11, the device will measure temperature and humidity and upload the data to a Google Sheet.</em>
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Khandelwal, Utkal, Gudapalli Karuna, Sadda Bharath Reddy, et al. "Energy-Efficient Urban Transportation Planning using Traffic Flow Optimization." E3S Web of Conferences 581 (2024): 01039. http://dx.doi.org/10.1051/e3sconf/202458101039.
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This study examines how predictive analytics and the IoT might improve sustainable urban transportation systems. Using IoT device data, this study will explore how predictive analytics and IoT integration alter urban transportation. The data covers vehicle speed, traffic density, AQI, and weather. The research estimates traffic congestion, AQI, and volume using predictive modeling. This assesses prediction accuracy and data match. Unfavorable weather increases congestion, whereas traffic density decreases vehicle speed. Predictive methods accurately estimate congestion and air quality, but traffic volume is more difficult. The algorithms' accuracy in anticipating congestion and AQI is confirmed by comparing predicted and actual outcomes. Despite a 1.4% traffic flow increase, predictive analytics and IoT solutions reduce congestion by 25% and improve air quality by 12.7%. The impact research shows that these methods reduce congestion and promote sustainability. This research highlights the potential of predictive analytics and IoT to improve urban mobility, enable smarter decision-making, and create sustainable urban environments via data-driven insights and proactive actions.
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Sudip, Chakraborty, and S. Aithal P. "Let Us Create A Lambda Function for Our IoT Device In The AWS Cloud Using C#." International Journal of Management, Technology, and Social Sciences (IJMTS) 8, no. 2 (2023): 145–55. https://doi.org/10.5281/zenodo.7995727.
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<strong>Purpose: </strong><em>This research paper explores the process of creating a Lambda function for an IoT device in the AWS cloud using C#. It provides a comprehensive guide to the steps involved in building a Lambda function, including setting up the AWS environment, creating the Function using C#, and deploying it to the cloud. Additionally, the paper will discuss the benefits of using Lambda functions for IoT devices, such as cost-effectiveness and scalability. It will provide examples of real-world use cases for this technology. By the end of this paper, readers will clearly understand how to create Lambda functions for their IoT devices using C# in the AWS cloud and will be able to apply this knowledge to their projects.</em> <strong>Design/Methodology/Approach</strong>: <em>A comprehensive literature review was conducted to gather information on the AWS cloud, IoT devices, and Lambda functions. The Lambda function was created using C# in Visual Studio. This involved writing the necessary code to perform the desired functionality, testing the Function locally, and packaging it for deployment. The Lambda function deployed to the AWS cloud using the AWS Management Console. </em> <strong>Findings/Result: </strong><em>The AWS environment can be easily configured with IoT devices and Lambda functions. AWS allows for cost-effective and scalable solutions that can be easily managed and monitored. Creating a Lambda function using C# in Visual Studio is straightforward and allows for powerful and flexible coding techniques. The deployment of the Lambda function to the AWS cloud is simple and can be achieved using the AWS Management Console. </em> <strong>Originality/Value: </strong><em>It offers a comprehensive guide to creating a Lambda function for an IoT device in the AWS cloud using C#. This guide includes a step-by-step approach to setting up the AWS environment, creating the Function using C#, and deploying it to the cloud. It demonstrates the real-world application of Lambda functions for IoT devices, providing examples of use cases and demonstrating the benefits of this technology. </em> <strong>Paper Type: </strong><em>Experimental-based Research.</em>
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George, Dr Teena. "Cadio Interfaced Smart Home with IoT Enabled Automation Systems." INTERANTIONAL JOURNAL OF SCIENTIFIC RESEARCH IN ENGINEERING AND MANAGEMENT 08, no. 04 (2024): 1–5. http://dx.doi.org/10.55041/ijsrem31545.
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Smart home automation integrates advanced technologies for efficient, convenient, and secure residential living. It employs sensors and actuators to collect data and automate physical tasks. Connectivity protocols Wi-Fi enable seamless communication among devices. This project presents a simpler IoT based home automation system using ESP8266 and Cadio app. This project includes security features include smart user behaviour lighting, motion detection, automatic water level control and locks, enhancing real-time monitoring and remote access. Voice control via virtual assistants like Alexa and google assistant adds a hands-free dimension to device management. Artificial Intelligence teaches user behaviour, enabling the system to automate routines over time. Customization options allow users to create personalized scenarios and routines tailored to their preferences. Here there is no code needed and it is easy to integrate and control. Using this IOT based home automation system reduces electricity bill of consumer and reduces carbon footprint at lower cost by implementation of this home automation project. Key Words: Cadio, Smart Home, Home Automation, IoT, Sensor, NodeMCU
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K.P., Vijaya Kumar, Sai Teja G., and Akhil Teja P. "Development of Iot based Smart Security and Monitoring Device using Digital Defence for Agriculture." International Journal of Engineering and Advanced Technology (IJEAT) 9, no. 4 (2020): 1027–21. https://doi.org/10.35940/ijeat.D7762.049420.
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We witness many people who face disabilities like being deaf, dumb, blind etc. They face a lot of challenges and difficulties trying to interact and communicate with others. This paper presents a new technique by providing a virtual solution without making use of any sensors. Histogram Oriented Gradient (HOG) along with Artificial Neural Network (ANN) have been implemented. The user makes use of web camera, which takes input from the user and processes the image of different gestures. The algorithm recognizes the image and identifies the pending voice input. This paper explains two way means of communication between impaired and normal people which implies that the proposed ideology can convert sign language to text and voice. Keywords: Histogram Oriented Gradient (HOG), Artificial Neural Network (ANN), Confusion matrix.aThe agricultural sector, which is the powerhouse of Indian financial system, needs protection. Safety, not only in terms of infrastructure as well as in terms of agricultural commodities, requires assistance and support at a very preliminary stage, such as protection from attacks by rats or pests in farms or seed stores. These problems could also be carefully considered. The convergence of conventional technology with all the latest technologies including the IOT (internet of things) and the Wireless Signal Systems will contribute to ecological modernization. Taking this system in mind, we are investigating a baseband processor on the' Internet of Things' that will be able to analyze the detected knowledge and then communicating it to the client. In our present system, we address the actual obstacle of farmers and the threat of endangered species and pest harm utilizing detectors. In the existing system, many peasants are afraid of pests reaching the fields and absolutely killing the crop. It creates a financial loss for peasants when anticipating a benefit.
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Boltaboyeva, Assiya, Zhanel Baigarayeva, Baglan Imanbek, et al. "A Review of Innovative Medical Rehabilitation Systems with Scalable AI-Assisted Platforms for Sensor-Based Recovery Monitoring." Applied Sciences 15, no. 12 (2025): 6840. https://doi.org/10.3390/app15126840.
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Artificial intelligence (AI) and machine learning (ML) have introduced new approaches to medical rehabilitation. These technological advances facilitate the development of large-scale adaptive rehabilitation platforms that can be tailored to individual patients. This review focuses on key technologies, including AI-driven rehabilitation planning, IoT-based patient monitoring, and Large Language Model (LLM)-powered virtual assistants for patient support. This review analyzes existing systems and examines how technologies can be combined to create comprehensive rehabilitation platforms that provide personalized care. For this purpose, a targeted literature search was conducted across leading scientific databases, including Scopus, Google Scholar, and IEEE Xplore. This process resulted in the selection of key peer-reviewed articles published between 2018 and 2025 for a detailed analysis. These studies highlight the latest trends and developments in medical rehabilitation, showcasing how digital technologies can transform rehabilitation processes and support patients. This review illustrates that AI, the IoT, and LLM-based virtual assistants hold significant promise for addressing current healthcare challenges through their ability to enhance, personalize, and streamline patient care.
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Geetha, P., M. Nithya Sree, B. Shifrah, and V. S. Yageetha. "Virtual Brain:Model-Based Framework for Dependable EEG Sensing and Actuation in Intelligent Brain IOT System." Journal of University of Shanghai for Science and Technology 23, no. 04 (2021): 187–95. http://dx.doi.org/10.51201/jusst/21/04214.
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Real-time Brain IoT Systems are costly. But, developing a cheaper system has been accelerated greatly by the better research that is being done on Virtual Brain. The death of an important person on a secret mission is consider sensitive information and must be handled with as much security as possible. By ensuring this discreteness, the time taken for the message of their death to reach the relevant authority is increased to up to a few days. The time taken to deliver the message is too much. These days, the improvements in hardware increasing the abilities of the Virtual brain and of the wearable Brain IoT sensors have made the development of numerous new software frameworks possible for the developers to create useful applications that combine the human brain with IoT. Multiple sensory pathways are also enabled for communications of the human brain with larger sized data.The main aim of this project is to upload confidential documents onto the clouds securely as possible. Knowledge on how every individual thinks and recalls memory is found by the Virtual cerebrum undertaking. Both of the mentioned fields have been accelerated greatly in terms of development by these researches. This will in turn drive the need of an energy-efficient technology that supports the wider demands of the IoT. The brain activity extraction in IoT has been surveyed thoroughly in this project. This includes IoT models based on Electroencephalogram (EEG), machine learning and the current active platforms. The main findings of our survey highlights three major trends of development in the virtual brain development system, viz, IoT, EEGand cloud computing.Since the human body has a the low frequency range of 7Hz or below 7Hz, it cannot be detected by the EEG sensor. So, the wearable EEG sensor has a band that goes around the head. Once the individual is dead, the confidential information that is securely stored in the cloud can be sent to the mail id that was pre-registered by the user without any delay. This system is very time efficient.
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Ireneusz, Bednorz. "Monitoring of network equipment and reporting through Spectrum and Performance Management applications from CA Technologies." Studies and Materials in Applied Computer Science (ISSN 1689-6300) 12, no. 2 (2020): 10–15. https://doi.org/10.5281/zenodo.4381002.
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The article describes basic network issues, layered models, Internet protocols, main components and in- tegrations between Spectrum and Performance Management applications of CA. The main aim of the study was to show how Spectrum monitors a specific event of increased RAM consumption on Router 1 device, and then to create a report in the Performance Management application to show this event on a graph. I focused on showing how important it is to monitor network devices in the current IT world in order to be able to solve in ti- me an event that potentially indicates a malfunction on the device and counteract the occurrence of such problems in the future.
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Akash, Kumar R., Prasath P. Vijay, Jambu R. Bala, and Julia Faith S. Miss. "Operating CNC and Laser Machine Everywhere using IoT." International Journal of Trend in Scientific Research and Development 4, no. 3 (2020): 327–31. https://doi.org/10.5281/zenodo.3892645.
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Computer numerical control CNC is programmed code that represents instructions for precise movements to be carried out by machines. Indirectly, this code defines how to automatically create, produce, or transform a virtual object into a real one. Laser GRBL is one of the best Windows GCodestreamer for DIY Laser Engraver. Laser GRBL can load and stream GCode path to Arduino, as well as engrave images, pictures and logo with the internal conversion tool. grbl is a fantastically simple and economical g code interpreter and CNC stepper motor controller for the Arduino, there doesn’t seem to be much information on how an average or new Arduino user should interface with it or how it works internally. Akash Kumar R | Vijay Prasath P | Bala Jambu R | Miss. Julia Faith S "Operating CNC & Laser Machine Everywhere using IoT" Published in International Journal of Trend in Scientific Research and Development (ijtsrd), ISSN: 2456-6470, Volume-4 | Issue-3 , April 2020, URL: https://www.ijtsrd.com/papers/ijtsrd30027.pdf Paper Url :https://www.ijtsrd.com/engineering/computer-engineering/30027/operating-cnc-and-laser-machine-everywhere-using-iot/akash-kumar-r
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Sudha Gadde, Sai, Rama Krishna Srinivas Ganta, ASALG Gopala Gupta, Raghava Rao K, and KRR Mohan Rao. "Securing Internet of Things(IoT) Using HoneyPots." International Journal of Engineering & Technology 7, no. 2.7 (2018): 820. http://dx.doi.org/10.14419/ijet.v7i2.7.11075.
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In today’s everlasting technological world, information and data communication create more devices stay connected to the internet. This lead to achieving development for building different software and internet connection very inexpensive this affected privacy and security. Security today became of the most important issue because day-by-day new technologies are put forward for different purposes of study while these come with a lot of vulnerabilities which makes the exploitation of the data. IoT is also such kind technology which is available for exploiting. For preserving information from such type of attacks we use honeypot which serves as a decoy based technology in a network and these are cost effective and works as a deception model which entice attackers with low vulnerabilities and security. Here are how honeypots used to defend IoT devices from being attacked and gather information about the attackers’ device.
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Al-Ghifari, Muhammad Hafidh, and Maulana Rizqi. "Game Portal Virtual Tugu Pahlawan Dengan Mobile Device Menggunakan Augmented Reality." Journal of Animation and Games Studies 6, no. 2 (2020): 113–28. http://dx.doi.org/10.24821/jags.v6i2.4212.
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The development of virtual game applications has become an attraction for some people. More specifically, Augmented Reality technology can introduce directly how the atmosphere in a certain location or place, therefore, in this study we tried to create applications that combine the real world with the virtual world. By using the Markerless Augmented Reality method which allows users to use the application anywhere and is not limited by markers. With the Augmented Reality application it also allows users to feel the atmosphere directly in the virtual world. For example, like the Tugu Pahlawan Monument in Surabaya, Augmented Reality technology can be utilized by introducing directly to the public about historical buildings in Surabaya, so that people who have never been there or who have been there by using the Augmented Reality application can immediately feel as if they are located at Tugu Pahlawan, and with a virtual portal it will connect the user’s location with the Tugu Pahlawan Monument and only use a mobile device.
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Norsuzila Yaacob, Nur Syaza Zainali, Amirul Asraf Abdul Rahman, Azita Laily Yusof, Murizah Kassim, and Ahmad Shazri Nazif Salehudin. "Design of Water Quality Monitoring System Based on Internet of Things Technology." Journal of Advanced Research in Applied Sciences and Engineering Technology 45, no. 1 (2024): 154–67. http://dx.doi.org/10.37934/araset.45.1.154167.
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Water quality is an assessment of how appropriate water is for a certain use or purpose, taking into consideration various physical, chemical, and biological factors that can affect its suitability. These factors can include pH, turbidity, dissolved oxygen, temperature, and the presence of pollutants or pathogens. The outdated method has been used by scientists and researchers to monitor the quality of water from the sources. The objective of this project is to create an efficient Internet of Things (IoT) system that can various sensors to continuously monitor water quality. The system is implemented using Arduino as the microcontroller, and sensors. A real-time monitoring system that is IoT-based was done to improve the examination process of the water sample. The system device is containing a NodeMCU ESP8266 microcontroller, pH, temperature, and turbidity sensors and uses the Blynk application. The system experiment results show that the device can show different readings based on the variety of water samples from different water bodies.