Journal articles on the topic 'Networked things'
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Melodia, Tommaso, Raffaele Guida, Enrico Santagati, Emrecan Demirors, Daniel Uvaydov, Pedram Johari, and Jorge Jimenez. "Toward an ultrasonic Internet of medical things." Journal of the Acoustical Society of America 151, no. 4 (April 2022): A244. http://dx.doi.org/10.1121/10.0011202.
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Wireless networked systems of “smart” miniaturized and electronically controlled implantable or wearable medical sensors and actuators will be the basis of many innovative and potentially revolutionary therapies and applications. The main obstacle in realizing this vision of smart networked implants is posed by the dielectric nature of the human body, which strongly attenuates radio-frequency electromagnetic waves used in traditional wireless technologies such as Bluetooth or WiFi. This talk will give an overview of our work exploring a radically different approach, i.e., establishing wireless networked systems in human tissues that transfer data and energy through acoustic waves at ultrasonic frequencies. We will start off by discussing applications of networked implantable medical systems.We will then analyze fundamental aspects of ultrasonic propagation in human tissues and their impact on the design of wireless networking protocols at different layers of the networking protocol stack. We will then review our work on designing and prototyping ultrasonically rechargeable and connected Internet-of-Things platforms through a closed-loop combination of mathematical modeling, simulation, and experimental evaluation.
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Wu, Haikun. "Networked Fitness Management System Based on Internet of Things." Wireless Communications and Mobile Computing 2022 (August 3, 2022): 1–8. http://dx.doi.org/10.1155/2022/8110399.
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In recent years, with the rapid development of Internet of things and other technologies, the digitalization, networking, and intelligence of sports have become the current research focus. In this paper, the fitness management system based on the Internet of things is studied. By analyzing the system function and performance requirements, the design of fitness client (small tablet) of networked fitness management system is based on Internet of things. Receiving the fitness data uploaded by the fitness device through Bluetooth, the fitness data can be processed and displayed in real time with graphics. After the exercise, the fitness data can be uploaded to the central computer through Wi-Fi wireless. Taking barbell as an example, by analyzing the movement characteristics of barbell, Bluetooth MPU6050 module is used for data acquisition; the data collected includes angle, number, etc.; the relevant functions of barb-dumbbell movement are analyzed and designed; and the Bluetooth communication module and Wi-Fi communication module in the small tablet software system are designed and implemented. The relevant experiments were carried out based on the developed software and hardware platform. Recognition experiments on 7 classes of actions show that the proposed deep neural network learns well on small datasets, achieving an action recognition accuracy of 97.61%, and the SVM also achieves a recognition accuracy of more than 96%. In the 50 action cycle calculation experiments, the number statistics algorithm reached 100% calculation accuracy, and the action cycle calculation results are also close to the real value, proving the effectiveness of the periodic calculation method.
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Underwood, Mark, Michael Gruninger, Leo Obrst, Ken Baclawski, Mike Bennett, Gary Berg-Cross, Torsten Hahmann, and Ram Sriram. "Internet of things: Toward smart networked systems and societies." Applied Ontology 10, no. 3-4 (December 2, 2015): 355–65. http://dx.doi.org/10.3233/ao-150153.
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Kouki, Rihab, Hichem Salhi, and Faouzi Bouani. "Embedded predictive control strategy based on Internet of Things technology: Application to a thermal process under imperfect wireless network." Proceedings of the Institution of Mechanical Engineers, Part I: Journal of Systems and Control Engineering 234, no. 7 (December 6, 2019): 775–91. http://dx.doi.org/10.1177/0959651819890954.
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This article is concerned with the design of wireless-networked control framework based on Internet of Things technology and predictive control strategy to remote control a thermal benchmark system. In order to improve the control performance of systems, an autonomous real-time solution is proposed for handling network problems. The adopted control strategy is divided into two cooperative parts under a master–slave architecture, in which two STM32 microcontrollers are investigated. The slave board is connected closely to the process and the master one is a distant controller. The microcontrollers communicate wirelessly through the Transmission Control Protocol/Internet Protocol. In the master board, a model predictive output-estimator-based controller is designed to control wirelessly the benchmark system, even though the incoming outputs from the slave board are lost. However, a buffered structure is implemented on the slave board to compensate the input losses of the arrived control sequences. The performance of the proposed wireless-networked predictive control compensation strategy for packet loss and perturbation handling in the wireless-networked control system in this work is verified through different experimentation conditions. Also, a comparative study with a wireless-networked proportional integral controller is performed to demonstrate the effectiveness of wireless-networked predictive control strategy for practical Internet of Things applications.
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Li, Si. "Research on Networked Product Packaging Design Based on Internet of Things Technology." Journal of Physics: Conference Series 2066, no. 1 (November 1, 2021): 012060. http://dx.doi.org/10.1088/1742-6596/2066/1/012060.
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Abstract In recent years, with the improvement of Internet of Things technology and the continuous improvement of economic level, people’s consumption consciousness has also changed, especially for the packaging of networked products put forward higher requirements. This paper mainly studies the visual expression of networked product based on Internet of Things technology. Starting from the increasing influence of Internet electronic consumption in China’s economic consumption system, this paper deeply discusses the systematic product logistics packaging design under the Internet consumption form. This paper analyzes and discusses the differences between Internet consumer commodity packaging and physical consumer commodity packaging in functional orientation, added value of packaging, systematic visual design and other aspects.
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Kumar, Sumit, and Zahid Raza. "Internet of Things." International Journal of Systems and Service-Oriented Engineering 7, no. 3 (July 2017): 32–52. http://dx.doi.org/10.4018/ijssoe.2017070103.
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Internet of Things (IoT) is a novel approach of connecting things/objects and thus transmitting information between various entities of the physical world or to the control centers where this information can be interpreted. IoT has been poised as the next evolution of internet promising to change our lives by involving a seamless access to people and devices in a ubiquitous way leading to a smart world. These devices, often referred to as smart items or intelligent things can be home appliances, healthcare devices, vehicles, buildings, factories and almost anything networked and fitted with sensors, actuators, and/or embedded computers. IoT promises to make the world smarter and proactive by enabling things to talk and others to understand. This work first presents an insight into the origin of IoT and its network as well as data centric architecture while listing the major possibilities. The seemingly important role and challenges of using Wireless Sensor Networks (WSN) which acts as the base in sensing and monitoring has been discussed. Since, the future lies in utility computing, best realized in the form of cloud computing, a cloud centric view of IoT is also presented.
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Hershman, Lynn. "The Raw Data Diet, All-Consuming Bodies and the Shape of Things to Come." Leonardo 38, no. 3 (June 2005): 208–12. http://dx.doi.org/10.1162/0024094054029038.
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The author discusses the construction of synthetic female cyborgian agents that expand singular identity into a networked trajectory composed of flowing data that cannibalizes processed information, which mutates into re-expressed, unpredictable patterns.
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Jones, Natasha N. "Found Things: Genre, Narrative, and Identification in a Networked Activist Organization." Technical Communication Quarterly 25, no. 4 (August 26, 2016): 298–318. http://dx.doi.org/10.1080/10572252.2016.1228790.
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Knieps, Günter. "Internet of Things, big data and the economics of networked vehicles." Telecommunications Policy 43, no. 2 (March 2019): 171–81. http://dx.doi.org/10.1016/j.telpol.2018.09.002.
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Tóth, András. "The Use of 5G in Military Cloud of Things Solutions." Academic and Applied Research in Military and Public Management Science 21, no. 3 (2022): 5–20. http://dx.doi.org/10.32565/aarms.2022.3.1.
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In military operations, battlefield sensor systems and various solutions supporting reconnaissance and surveillance are increasingly important. Networked battlefield and military devices deployed in the operational theatre can be the best solution to this, ensuring that they are designed to collect all the data generated in their environment, which they are programmed to acquire. These devices continuously share the information they collect with each other and with a central storage and processing server. The required interconnections are typically two-way communications with all the criteria necessary to share the collected data in the shortest possible time. The data collected and analysed in this way can contribute significantly to the near real-time monitoring of the real operational situation and environment. This capability will enable the acquisition and maintenance of information superiority and can significantly speed up decision-making processes. Therefore, networked battlefield intelligent devices are essential for achieving operational objectives and successfully executing operations. In this paper, the author examines the integration of various levels of military IoT devices into the cloud environment and the use of 5G technology as a possible future solution for developing the communication environment. To achieve the research objectives, the author performs a comparative analysis between relevant international academic publications and technical reports on the topic, based on which he formulates his research results.
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Wang, Biao, Xing Zhao, Changbo Li, Ji Ke, Yude Qin, Hao Wu, and Hang Yang. "The Design of a Class of Nonlinear Networked System." Wireless Communications and Mobile Computing 2021 (March 10, 2021): 1–11. http://dx.doi.org/10.1155/2021/8847008.
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A class of nonlinear networked systems with external interference is designed in this paper. Currently, we have witnessed that networked control technology has played a key role in the Internet of Things (IoT). However, the amount of big data in the Internet of Things will cause network congestion in the data transmission of the network control system. In order to solve this problem, event-driven control scheme can effectively save the network resources of the network control system. But when there is interference in the system, the conventional constant threshold parameter is difficult to achieve the expected energy-saving effect. In order to solve this challenge, this paper proposes a design with a continuously variable threshold. After each trigger to transmit data, the threshold gets changed accordingly, and the sliding mode approach rate is changed simultaneously. Compared with the constant threshold event drive, the number of transmissions in this design can be greatly reduced, while sliding mode jitter is suppressed. The simulation results show that the scheme can achieve higher resource utilization efficiency and better robustness.
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Godson S Olusanya, Charles Okunbor, and Oghenetega Avwokuruaye. "Internet of Things (IOT) as the future of networked devices: An overview." Global Journal of Engineering and Technology Advances 9, no. 3 (December 30, 2021): 031–37. http://dx.doi.org/10.30574/gjeta.2021.9.3.0154.
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The internet being a major tool in the globalization of the world has made it possible for human beings to interact, share and access information on a very large scale without distance being a barrier. Computer systems with broad functionalities like the desktop, laptop and smart phone are connected through the internet. But going beyond just connecting computer systems to the internet, the Internet of Things connects devices and objects together and to the internet. The Internet of Things (IoT) is a developing paradigm that makes communication and gathering of data possible between electronic devices, objects and sensors through internet technology, with the aim of improving quality of life. IoT is seen to be a big player in the networking of future devices and the internet but has some challenges that needs to be addressed. This paper through extensive literature review, highlighted the progress made by IoT, its applications in different sectors, the challenges faced by this technology for its full actualization and also its future projections.
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Prasad, Vivek Kumar, Pronaya Bhattacharya, Darshil Maru, Sudeep Tanwar, Ashwin Verma, Arunendra Singh, Amod Kumar Tiwari, et al. "Federated Learning for the Internet-of-Medical-Things: A Survey." Mathematics 11, no. 1 (December 28, 2022): 151. http://dx.doi.org/10.3390/math11010151.
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Recently, in healthcare organizations, real-time data have been collected from connected or implantable sensors, layered protocol stacks, lightweight communication frameworks, and end devices, named the Internet-of-Medical-Things (IoMT) ecosystems. IoMT is vital in driving healthcare analytics (HA) toward extracting meaningful data-driven insights. Recently, concerns have been raised over data sharing over IoMT, and stored electronic health records (EHRs) forms due to privacy regulations. Thus, with less data, the analytics model is deemed inaccurate. Thus, a transformative shift has started in HA from centralized learning paradigms towards distributed or edge-learning paradigms. In distributed learning, federated learning (FL) allows for training on local data without explicit data-sharing requirements. However, FL suffers from a high degree of statistical heterogeneity of learning models, level of data partitions, and fragmentation, which jeopardizes its accuracy during the learning and updating process. Recent surveys of FL in healthcare have yet to discuss the challenges of massive distributed datasets, sparsification, and scalability concerns. Because of this gap, the survey highlights the potential integration of FL in IoMT, the FL aggregation policies, reference architecture, and the use of distributed learning models to support FL in IoMT ecosystems. A case study of a trusted cross-cluster-based FL, named Cross-FL, is presented, highlighting the gradient aggregation policy over remotely connected and networked hospitals. Performance analysis is conducted regarding system latency, model accuracy, and the trust of consensus mechanism. The distributed FL outperforms the centralized FL approaches by a potential margin, which makes it viable for real-IoMT prototypes. As potential outcomes, the proposed survey addresses key solutions and the potential of FL in IoMT to support distributed networked healthcare organizations.
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Djenouri, Djamel, ElMouatezbillah Karbab, Sahar Boulkaboul, and Antoine Bagula. "Networked Wireless Sensors, Active RFID, and Handheld Devices for Modern Car Park Management." International Journal of Handheld Computing Research 6, no. 3 (July 2015): 33–45. http://dx.doi.org/10.4018/ijhcr.2015070103.
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Networked wireless sensors, actuators, RFID, and mobile computing technologies are explored in this paper on the quest for modern car park management systems with sophisticated services over the emerging internet of things (IoT), where things such as ubiquitous handheld computers, smart ubiquitous sensors, RFID readers and tags are expected to be interconnected to virtually form networks that enable a variety of services. After an overview of the literature, the authors propose a scalable and lowcost car parking framework (CPF) based on the integration of aforementioned technologies. A preliminary prototype implementation has been performed, as well as experimentation of some modules of the proposed CPF. The results demonstrate proof of concept, and particularly reveal that the proposed approach for WSN deployment considerably reduces the cost and energy consumption compared to existing solutions.
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Alam, Tanweer. "Blockchain-Based Internet of Things: Review, Current Trends, Applications, and Future Challenges." Computers 12, no. 1 (December 26, 2022): 6. http://dx.doi.org/10.3390/computers12010006.
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Advances in technology always had an impact on our lives. Several emerging technologies, most notably the Internet of Things (IoT) and blockchain, present transformative opportunities. The blockchain is a decentralized, transparent ledger for storing transaction data. By effectively establishing trust between nodes, it has the remarkable potential to design unique architectures for most enterprise applications. When it first appeared as a platform for anonymous cryptocurrency trading, such as Bitcoin, on a public network platform, blockchain piqued the interest of researchers. The chain is completed when each block connects to the previous block. The Internet of Things (IoT) is a network of networked devices that can exchange data and be managed and controlled via unique identifiers. Automation, wireless sensor networks, embedded systems, and control systems are just a few of the well-known technologies that power the IoT. Converging advancements in real-time analytics, machine learning, commodity sensors, and embedded systems demonstrate the rapid expansion of the IoT paradigm. The Internet of Things refers to the global networking of millions of networked smart gadgets that gather and exchange data. Integrating the IoT and blockchain technology would be a significant step toward developing a reliable, secure, and comprehensive method of storing data collected by smart devices. Internet-enabled devices in the IoT can send data to private blockchain networks, creating immutable records of all transaction history. As a result, these networks produce unchangeable logs of all transactions. This research looks at how blockchain technology and the Internet of Things interact to understand better how devices can communicate with one another. The blockchain-enabled Internet of Things architecture proposed in this article is a useful framework for integrating blockchain technology and the Internet of Things using the most cutting-edge tools and methods currently available. This article discusses the principles of blockchain-based IoT, consensus methods, reviews, difficulties, prospects, applications, trends, and communication between IoT nodes in an integrated framework.
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Alam, Tanweer. "Internet of things: review, architecture and applications." Computer Science and Information Technologies 3, no. 1 (March 1, 2022): 31–38. http://dx.doi.org/10.11591/csit.v3i1.p31-38.
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Devices linked to the internet of things (IoT) may communicate with one another in several settings. Furthermore, rather of relying on an existing centralized system, users may develop their own network by using wireless capabilities. This kind of network is known as a wireless mobile ad hoc network. The mobile ad-hoc network (MANET) enables IoT devices to connect with one another in an unstructured networked environment. IoT devices may connect, establish linkages, and share data on a continuous basis. In this system, the cloud's purpose is to store and analyze data acquired from IoT devices. One of the most significant challenges in cloud computing has been identified as information security, and its resolution will result in an even bigger increase in cloud computing usage and popularity in the future. Finally, the goal of this project is to create a framework for facilitating communication between IoT devices in a Cloud and MANET context. Our major contribution is a ground-breaking research initiative that combines cloud computing with the MANET and connects the internet of things. This research might be used to the IoT in the future.
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Gautam, Krishan Kant Singh, and Rajendra Kumar. "Security Awareness Model for Artificial Intelligence and Internet of Things." International Journal on Recent and Innovation Trends in Computing and Communication 10, no. 12 (December 31, 2022): 203–10. http://dx.doi.org/10.17762/ijritcc.v10i12.5936.
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With human engagement replacing artificial intelligence in the provision of services, the position of intelligence systems is rapidly changing. The Internet of Things (IOT) plays a prominent role in these variations as it is a cutting-edge and developing technology that connects physical objects to the virtual world, enabling anytime, everywhere connectivity for anything. A technology known as the Internet of Things (IOT) enables the networked connection and data transfer of physical objects, people, gadgets, cars, and other things. IOT eliminates the need for computer-human contact by speaking directly to the user.This encourages increased communication between entities as a result. It can enhance the fundamental services provided in the industries of transportation, banking, healthcare, and education. Recent analyses have shown that the Internet of Things (IOT) and its related components are very susceptible to security vulnerabilities. Using artificial intelligence approaches, IOT security issues can be rectified (AI). AI develops crucial apps that enable data flow in an IoT environment. Intelligent transmission technique.
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Fraietta, Angelo, Oliver Bown, Sam Ferguson, Sam Gillespie, and Liam Bray. "Rapid Composition for Networked Devices: HappyBrackets." Computer Music Journal 43, no. 2-3 (June 2020): 89–108. http://dx.doi.org/10.1162/comj_a_00520.
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This article introduces an open-source Java-based programming environment for creative coding of agglomerative systems using Internet-of-Things (IoT) technologies. Our software originally focused on digital signal processing of audio—including synthesis, sampling, granular sample playback, and a suite of basic effects—but composers now use it to interface with sensors and peripherals through general-purpose input/output and external networked systems. This article examines and addresses the strategies required to integrate novel embedded musical interfaces and creative coding paradigms through an IoT infrastructure. These include: the use of advanced tooling features of a professional integrated development environment as a composition or performance interface rather than just as a compiler; techniques to create media works using features such as autodetection of sensors; seamless and serverless communication among devices on the network; and uploading, updating, and running of new compositions to the device without interruption. Furthermore, we examined the difficulties many novice programmers experience when learning to write code, and we developed strategies to address these difficulties without restricting the potential available in the coding environment. We also examined and developed methods to monitor and debug devices over the network, allowing artists and programmers to set and retrieve current variable values to or from these devices during the performance and composition stages. Finally, we describe three types of art work that demonstrate how the software, called HappyBrackets, is being used in live-coding and dance performances, in interactive sound installations, and as an advanced composition and performance tool for multimedia works.
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K. Raghavarao, Dr, M. Vamsi Krishna, P. Sai Chaitanya, and E. ShivaKumar. "Heterogeneous networked data recovery from compressive measurements using a copular." International Journal of Engineering & Technology 7, no. 2.7 (March 18, 2018): 968. http://dx.doi.org/10.14419/ijet.v7i2.7.11437.
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Expansive scale information accumulation by methods for remote sensor system and web of-things innovation postures different difficulties in perspective of the confinements in transmission, calculation, and vitality assets of the related remote gadgets. Com-pressive information gathering in light of packed detecting has been demonstrated an appropriate answer for the issue. Existing plans misuse the spatiotemporal connections among information gathered by a particular detecting methodology. Be that as it may, numerous applications, for example, ecological checking, include gathering heterogeneous information that are inherently corresponded. By this examination, we are trying to propose the use of relationship from different heterogeneous signs while recouping the information from compressive estimations.
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Nihad, Marwah, Alaa Hassan, and Nadia Ibrahim. "A Survey on Intermediate Data Management for Big Data and Internet of Things." International Journal of Engineering & Technology 7, no. 4.37 (December 13, 2018): 86. http://dx.doi.org/10.14419/ijet.v7i4.37.23622.
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The field internet of things and Big Data has become a necessity in our everyday lives due to the broadening of its technology and the exponential increase in devices, services, and applications that drive different types of data. This survey shows the study of Internet of Things (IoT), Big Data, data management, and intermediate data. The survey discusses intermediate data on Big Data and Internet of Things (IoT) and how it is managed. Internet of Things (IoT) is an essential concept of a new technology generation. It is a vision that allows the embedded devices or sensors to be interconnected over the Internet. The future Internet of Things (IoT) will be greatly presented by the massive quantity of heterogeneous networked embedded devices that generate intensively "Big data". Referring to the term intermediate data as the information that is provoked as output data along the process. However, this data is temporary and is erased as soon as you run a model or a sample tool. Also, the existence of intermediate data in both of the Internet of Things (IoT) and Big Data are explained. Here, various aspects of the internet of things, Big Data, intermediate data and data management will be reviewed. Moreover, the schemes for managing this data and its framework are discussed.
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Du, Jian. "Data transmission system of networked digital voice room based on Internet of Things technology." Journal of Physics: Conference Series 2004, no. 1 (August 1, 2021): 012018. http://dx.doi.org/10.1088/1742-6596/2004/1/012018.
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Foster, Robert J. "Notes for a Networked Biography: The P. G. T. Black Collection of Oceanic Things." Museum Anthropology 35, no. 2 (September 18, 2012): 149–69. http://dx.doi.org/10.1111/j.1548-1379.2012.01129.x.
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Pinto, Ana. "Networked Learning: Designing for adult literacy learners." Literacy and Numeracy Studies 22, no. 1 (October 1, 2014): 21–38. http://dx.doi.org/10.5130/lns.v22i1.4177.
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This paper reports on analysis of an online learning network catering for adult basic education. It introduces some key concepts from research on networked learning, as well as two complementary approaches that are useful to support and inform analysis and design of technology-enhanced environments. One approach is informed by ideas about the design of learning environments in which pedagogies are combined with complex technological arrangements. The other approach shows how ideas from urban and architectural design, particularly the work by Christopher Alexander on design patterns and pattern languages, can be used to support design for learning. Part of the argument for combining these two perspectives is that, in trying to manage the complex possibilities of new network technologies, pedagogical and humanistic ideals are easily damaged, forgotten or lost. The analytic work involves some methodological innovation, partly because of the data sources involved. It uses interviews as well as screenshots of web pages, other online artefacts and data logs; these sources allow the researcher to look ‘beyond the screen’ to reconstruct the deeper architecture of what has been created for, and by, the participants in the network. The preliminary outcomes show how connections can be drawn between some of the key qualities of what has been designed alongside the various configurations of things, places, tasks, activities, and people influencing learning. Eventually, what is learned from a case study is discussed with the aim of informing design of similar learning networks.
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Kouki, Rihab, Alexandre Boe, Thomas Vantroys, and Faouzi Bouani. "Autonomous Internet of Things predictive control application based on wireless networked multi-agent topology and embedded operating system." Proceedings of the Institution of Mechanical Engineers, Part I: Journal of Systems and Control Engineering 234, no. 5 (August 29, 2019): 577–95. http://dx.doi.org/10.1177/0959651819870340.
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This article investigates the problem of data-driven cooperative tracking for a class of multi-agent linear systems under imperfect wireless communication. An autonomous Internet of Things predictive control application is designed to drive a robot with one wheel. The proposed methodology has been developed using Revolutionary Internet of Things Operating System running on STM32 and radio frequency communication shields over the User Datagram Protocol. To evaluate the performance of the predictive control algorithm, the User Datagram Protocol has been used due to the high number of packet losses in the communication channel. A robust analysis of Internet of Things technology among agents, combined with a network predictive control strategy against packet loss, limited bandwidth and attack links is carried out. The main feature of this methodology is that it is possible to achieve consensus monitoring and stability of closed-loop control systems. The efficiency of the proposed design approach is demonstrated by several experimental scenarios.
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Ziryawulawo, Ali, Angel Charles Ogare, Famina Ayebare, and Ramadhani Sinde. "Application of IoT and Machine Learning Techniques for Heart Disease Prediction and Diagnosis: A Comprehensive Review." International Journal of Advances in Scientific Research and Engineering 08, no. 07 (2022): 76–85. http://dx.doi.org/10.31695/ijasre.2022.8.7.7.
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Heart diseases and related disorders have emerged as the most dangerous and leading cause of global deaths affecting mostly the elderly people who suffer from these diseases without realizing or knowing about it. Due to the fact that it’s very hard to notice the signs of the sickness at an early stage, mostly the signs will be shown once the heart problem has reached the peak level. This paper therefore presents a detailed review of how to monitor and predict heart disease using machine learning and the IoT. With the help of IoT, patients and doctors will monitor cardiovascular diseases early enough. A comparative analysis of different IoT technologies, most of which employed machine learning approaches for predicting and diagnosing cardiovascular disease, is conducted, different methodologies are compared and the results analysis is conducted and the performance tabulated. The Internet of Things (IoT) is transforming embedded systems into networked smart gadgets with sensors. The primary drawback of employing smart devices was their limited storage and processing capability, which cloud computing addressed by providing high-level processing and storage capacities. The Internet of Things (IoT) is transforming embedded systems into networked smart gadgets with sensors. The most significant disadvantage of using smart devices was their low cost. The problem of limited storage capacity and processing power was solved by cloud computing.
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Kumar T.M, Sanjeev, Ciji P. Kurian, Susan Varghese, Anil Upadhyaya, Anupriya John, and Varsha Nayak. "A Prototype of Wireless Networked IoT Based Lighting Control in Open Platform." Recent Advances in Electrical & Electronic Engineering (Formerly Recent Patents on Electrical & Electronic Engineering) 13, no. 3 (May 18, 2020): 405–16. http://dx.doi.org/10.2174/2352096512666190123125600.
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Background: The lighting researchers are keenly looking for the huge benefits of the internet of things on an open platform which provides the cost gains in addition to other environmental benefits. Connected systems interact with the software and analyse real-time building conditions, and feed information into the building controls network. Methods: This paper presents a wireless networked system for lighting control in buildings which connect the power of the Internet of Things. After analysing the ZigBee network on QualNet v7.4, a Digi Mesh network was set up using XBee modules using the XBee Configuration and Test Utility [XCTU] Software v6.3.11. The ThingSpeak cloud platform along with MATLAB 2017b provides the necessary cloud support to enable this network to communicate over the internet. The results indicate that the XBee S2C module functioning in the API mode when flashed with the DigiMesh firmware offers the best option for forming a self-healing mesh network. An aggregator node acts as an information sink and collects the sensor data from all the sensor nodes and passes it on to the cloud via the Raspberry gateway. Results: The algorithm on the cloud can read this sensor data and compute the necessary Pulse Width Modulation [PWM] signals required to control the brightness of a dimmable LED luminaire. The system also takes into consideration the zone-wise occupancy in the room while computing the PWM values to be sent to the luminaires. Conclusion: The use of the concept of open platform sensors and actuators is the significance of the work.
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Eliseev, Vladimir, and Anastasiya Gurina. "Agent-whistleblower Technology for Secure Internet of Things." Journal of Science and Technology on Information security 7, no. 1 (April 9, 2020): 22–28. http://dx.doi.org/10.54654/isj.v7i1.52.
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Abstract— The paper investigates the causes of widespread use by cybercriminals of the Internet of Things for organizing network attacks and other illegal use. An analysis of existing approaches and technologies for protecting networked computer devices is presented, as well as the main factors that prevent their use in the world of Internet of Things. An approach is suggested that ensures the integration of protective mechanisms directly into the composition of Things. Various variants of technology implementation are considered. Key aspects and potential ways of implementing the proposed approach are noted.Tóm tắt— Bài báo nghiên cứu về các phương thức được tội phạm mạng sử dụng rộng rãi trong Internet vạn vật (IoT), để tổ chức các tấn công mạng và các hành vi bất hợp pháp khác. Bài báo phân tích các phương pháp và công nghệ hiện có để bảo vệ các thiết bị kết nối mạng, cũng như các yếu tố chính để ngăn chặn việc sử dụng chúng trong IoT. Cách tiếp cận được đề xuất là đảm bảo việc tích hợp các cơ chế bảo vệ trực tiếp vào cấu trúc của IoT. Bài báo cũng xem xét các biến thể khác của việc thực hiện công nghệ này. Từ đó, đưa ra lưu ý về các khía cạnh chính và cách thức cài đặt tiềm năng để thực hiện phương pháp được đề xuất.
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Vitali, Giuliano, Matteo Francia, Matteo Golfarelli, and Maurizio Canavari. "Crop Management with the IoT: An Interdisciplinary Survey." Agronomy 11, no. 1 (January 18, 2021): 181. http://dx.doi.org/10.3390/agronomy11010181.
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In this study, we analyze how crop management will benefit from the Internet of Things (IoT) by providing an overview of its architecture and components from agronomic and technological perspectives. The present analysis highlights that IoT is a mature enabling technology with articulated hardware and software components. Cheap networked devices can sense crop fields at a finer grain to give timeliness warnings on the presence of stress conditions and diseases to a wider range of farmers. Cloud computing allows reliable storage, access to heterogeneous data, and machine-learning techniques for developing and deploying farm services. From this study, it emerges that the Internet of Things will draw attention to sensor quality and placement protocols, while machine learning should be oriented to produce understandable knowledge, which is also useful to enhance cropping system simulation systems.
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Shang, Xiaopu, Runtong Zhang, and Ying Chen. "Internet of Things (IoT) Service Architecture and its Application in E-Commerce." Journal of Electronic Commerce in Organizations 10, no. 3 (July 2012): 44–55. http://dx.doi.org/10.4018/jeco.2012070104.
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Internet of Things (IoT) is considered as the developing tendency of network technology, generally it refers to the networked interconnection of different kinds of things (objects). Compared with the Internet, IoT provides a wider platform to share more information. In this situation, the information service in IoT is necessary to organize the process of getting and sharing information for the IoT user. This paper considers that IoT service should have active, personalized, and intelligent features. The architecture for IoT service is given, which consists of three layers: perception layer, network layer, and service layer. Correspondingly, models ftoor identify users need and service coordination are proposed. E-commerce is one of the most important applications on the Internet and is a typical format of information service. Thus, this paper chooses e-commerce as the application case to research and show how IoT service works in reality.
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Moon, Hae-Min, and Sung Pan. "Long distance face recognition for enhanced performance of internet of things service interface." Computer Science and Information Systems 11, no. 3 (2014): 961–74. http://dx.doi.org/10.2298/csis130926059m.
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As many objects in the human ambient environment are intellectualized and networked, research on IoT technology have increased to improve the quality of human life. This paper suggests an LDA-based long distance face recognition algorithm to enhance the intelligent IoT interface. While the existing face recognition algorithm uses single distance image as training images, the proposed algorithm uses face images at distance extracted from 1m to 5m as training images. In the proposed LDA-based long distance face recognition algorithm, the bilinear interpolation is used to normalize the size of the face image and a Euclidean Distance measure is used for the similarity measure. As a result, the proposed face recognition algorithm is improved in its performance by 6.1% at short distance and 31.0% at long distance, so it is expected to be applicable for USN?s robot and surveillance security systems.
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Kaya, M. Cagri, Mahdi Saeedi Nikoo, Michael L. Schwartz, and Halit Oguztuzun. "Internet of Measurement Things Architecture: Proof of Concept with Scope of Accreditation." Sensors 20, no. 2 (January 16, 2020): 503. http://dx.doi.org/10.3390/s20020503.
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Many industries, such as manufacturing, aviation, and power generation, employ sensitive measurement devices to be calibrated by certified experts. The diversity and sophistication of measurement devices and their calibration needs require networked and automated solutions. Internet of Measurement Things (IoMT) is an architectural framework that is based on the Industrial Internet of Things for the calibration industry. This architecture involves a layered model with a cloud-centric middle layer. In this article, the realization of this conceptual architecture is described. The applicability of the IoMT architecture in the calibration industry is shown through an editor application for Scope of Accreditation. The cloud side of the implementation is deployed to Microsoft Azure. The editor itself is created as a cloud service, and IoT Hub is used to collect data from calibration laboratories. By adapting the IoMT architecture to a commonly used cloud platform, considerable progress is achieved to encompass Metrology data and serve the majority of the stakeholders.
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Lagkas, Thomas, Vasileios Argyriou, Stamatia Bibi, and Panagiotis Sarigiannidis. "UAV IoT Framework Views and Challenges: Towards Protecting Drones as “Things”." Sensors 18, no. 11 (November 17, 2018): 4015. http://dx.doi.org/10.3390/s18114015.
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Unmanned aerial vehicles (UAVs) have enormous potential in enabling new applications in various areas, ranging from military, security, medicine, and surveillance to traffic-monitoring applications. Lately, there has been heavy investment in the development of UAVs and multi-UAVs systems that can collaborate and complete missions more efficiently and economically. Emerging technologies such as 4G/5G networks have significant potential on UAVs equipped with cameras, sensors, and GPS receivers in delivering Internet of Things (IoT) services from great heights, creating an airborne domain of the IoT. However, there are many issues to be resolved before the effective use of UAVs can be made, including security, privacy, and management. As such, in this paper we review new UAV application areas enabled by the IoT and 5G technologies, analyze the sensor requirements, and overview solutions for fleet management over aerial-networking, privacy, and security challenges. Finally, we propose a framework that supports and enables these technologies on UAVs. The introduced framework provisions a holistic IoT architecture that enables the protection of UAVs as “flying” things in a collaborative networked environment.
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Kakkar, Latika, Deepali Gupta, Sapna Saxena, and Sarvesh Tanwar. "An Analysis of Integration of Internet of Things and Cloud Computing." Journal of Computational and Theoretical Nanoscience 16, no. 10 (October 1, 2019): 4345–49. http://dx.doi.org/10.1166/jctn.2019.8523.
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The Internet of Things (IoT) comprises of various smart devices which are networked together to detect, accumulate, process, improve and interchange significant data over the Internet. IoT has improved our lifestyle by offering various applications such as intelligent home, smart healthcare, traffic monitoring and smart city devices. The IoT devices have restriction of power, battery life, memory and network constraints, so cloud can be used for accumulating and analyzing the IoT data. Due to the considerable increase in data transfer over Internet and other devices, the confidential information from the IoT sources required to be secure from any third party access. Cloud computing (CC) on the other side provides a protected, abrupt and advantageous data storage and computing services all over the internet. The integration of both these technologies can prove to be beneficial for each other. Therefore, we need an efficient and authentic method for secure communication in the IoT and cloud based big data environment. This paper provides a review of amalgamation of the IoT and cloud by featuring the implementation challenges and integration benefits.
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Jara, Antonio J., Socrates Varakliotis, Antonio F. Skarmeta, and Peter Kirstein. "Extending the Internet of Things to the Future Internet Through IPv6 Support." Mobile Information Systems 10, no. 1 (2014): 3–17. http://dx.doi.org/10.1155/2014/831974.
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Emerging Internet of Things (IoT)/Machine-to-Machine (M2M) systems require a transparent access to information and services through a seamless integration into the Future Internet. This integration exploits infrastructure and services found on the Internet by the IoT. On the one hand, the so-called Web of Things aims for direct Web connectivity by pushing its technology down to devices and smart things. On the other hand, the current and Future Internet offer stable, scalable, extensive, and tested protocols for node and service discovery, mobility, security, and auto-configuration, which are also required for the IoT. In order to integrate the IoT into the Internet, this work adapts, extends, and bridges using IPv6 the existing IoT building blocks (such as solutions from IEEE 802.15.4, BT-LE, RFID) while maintaining backwards compatibility with legacy networked embedded systems from building and industrial automation. Specifically, this work presents an extended Internet stack with a set of adaptation layers from non-IP towards the IPv6-based network layer in order to enable homogeneous access for applications and services.
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Wei, Zhuangkun, Liang Wang, Schyler Chengyao Sun, Bin Li, and Weisi Guo. "Graph Layer Security: Encrypting Information via Common Networked Physics." Sensors 22, no. 10 (May 23, 2022): 3951. http://dx.doi.org/10.3390/s22103951.
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The proliferation of low-cost Internet of Things (IoT) devices has led to a race between wireless security and channel attacks. Traditional cryptography requires high computational power and is not suitable for low-power IoT scenarios. Whilst recently developed physical layer security (PLS) can exploit common wireless channel state information (CSI), its sensitivity to channel estimation makes them vulnerable to attacks. In this work, we exploit an alternative common physics shared between IoT transceivers: the monitored channel-irrelevant physical networked dynamics (e.g., water/oil/gas/electrical signal-flows). Leveraging this, we propose, for the first time, graph layer security (GLS), by exploiting the dependency in physical dynamics among network nodes for information encryption and decryption. A graph Fourier transform (GFT) operator is used to characterise such dependency into a graph-bandlimited subspace, which allows the generation of channel-irrelevant cipher keys by maximising the secrecy rate. We evaluate our GLS against designed active and passive attackers, using IEEE 39-Bus system. Results demonstrate that GLS is not reliant on wireless CSI, and can combat attackers that have partial networked dynamic knowledge (realistic access to full dynamic and critical nodes remains challenging). We believe this novel GLS has widespread applicability in secure health monitoring and for digital twins in adversarial radio environments.
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van der Zeeuw, Alex, Alexander JAM van Deursen, and Giedo Jansen. "Inequalities in the social use of the Internet of things: A capital and skills perspective." New Media & Society 21, no. 6 (January 4, 2019): 1344–61. http://dx.doi.org/10.1177/1461444818821067.
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In this article, we set out to explain different types of social uses of the Internet of Things (IoT) using forms of capital and Internet skills. We argue that the IoT platform entices different manners of social communication that are easily overlooked when focusing on the novelty of smart “things.” How people use the IoT socially is crucial in trying to understand how people create, maintain, or absolve social relations in a networked society. We find inversed effects for social capital, income and education on private use, and on sharing IoT data with a partner. Sharing with acquaintances and strangers is predicted by cultural activities. Sharing IoT data with acquaintances can especially be attributed to social relations that escape the immediate household. We conclude that varying figurations of capital and Internet skills predict how the IoT is used socially.
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Sharma, Vishal, Dushantha Nalin K. Jayakody, Kathiravan Srinivasan, and Ravinder Kumar. "Coagulation Attacks over Networked UAVs: Concept, Challenges, and Research Aspects." International Journal of Engineering & Technology 7, no. 3.13 (July 27, 2018): 183. http://dx.doi.org/10.14419/ijet.v7i3.13.17329.
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Unmanned Aerial Vehicles (UAVs) have grasped an important role in the modern day networking. A lot of applications are being developed using aerial vehicles as a pivot. These vehicles provide a vast range of support to modern day networks. Modern computing applications such as Urban Computing, Internet of Things, Ubiquitous Computing, and the Internet for All have sought applications of UAVs to attain complex tasks. However, securing aerial vehicles in a network is not an easy task because of the difference in communication standards and range of applicability. Aerial nodes are prone to various types of attack in a network such as Sybil attack, wormhole attack, sinkhole attack, or impersonation attack. These attacks lead to a large number of vulnerabilities causing fatal incidents. A new attack is introduced in this paper termed as "Coagulation Attack". This term is derived from the clotting properties of fluids. This paper introduces the concept, issues, challenges, and research aspects of coagulation attack. A simulation study is also presented that shows the impact of such attacks over networked UAVs.
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Casado-Vara, Roberto, Zita Vale, Javier Prieto, and Juan Corchado. "Fault-Tolerant Temperature Control Algorithm for IoT Networks in Smart Buildings." Energies 11, no. 12 (December 7, 2018): 3430. http://dx.doi.org/10.3390/en11123430.
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The monitoring of the Internet of things networks depends to a great extent on the availability and correct functioning of all the network nodes that collect data. This network nodes all of which must correctly satisfy their purpose to ensure the efficiency and high quality of monitoring and control of the internet of things networks. This paper focuses on the problem of fault-tolerant maintenance of a networked environment in the domain of the internet of things. Based on continuous-time Markov chains, together with a cooperative control algorithm, a novel feedback model-based predictive hybrid control algorithm is proposed to improve the maintenance and reliability of the internet of things network. Virtual sensors are substituted for the sensors that the algorithm predicts will not function properly in future time intervals; this allows for maintaining reliable monitoring and control of the internet of things network. In this way, the internet of things network improves its robustness since our fault tolerant control algorithm finds the malfunction nodes that are collecting incorrect data and self-correct this issue replacing malfunctioning sensors with new ones. In addition, the proposed model is capable of optimising sensor positioning. As a result, data collection from the environment can be kept stable. The developed continuous-time control model is applied to guarantee reliable monitoring and control of temperature in a smart supermarket. Finally, the efficiency of the presented approach is verified with the results obtained in the conducted case study.
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Zhao, Liqiu, Yuexi Zhao, and Xiaodong Wang. "Athleteʼs Physical Fitness Prediction Model Algorithm and Index Optimization Analysis under the Environment of AI." Mathematical Problems in Engineering 2021 (February 24, 2021): 1–10. http://dx.doi.org/10.1155/2021/6680629.
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With the rapid progress of network technology and computers, the Internet of Things has slowly entered peopleʼs lives and work. The Internet of Things can bring a lot of convenience to peopleʼs lives and work. People have been living in a networked era, and communications, computers, and network technologies are changing the entire human race and society. The extensive application of databases and computer networks, coupled with the use of advanced automatic data collection tools, has dramatically increased the amount of data that people have. There are many important information hidden behind the surge of data, and people hope to conduct higher-level analysis on it in order to make better use of these data. This article mainly introduces the prediction model algorithm and index optimization analysis of athletesʼ physical fitness under the Internet of things environment. This paper proposes an algorithm and index optimization method for the athletesʼ physical fitness prediction model in the Internet of Things environment, which is used to conduct athletesʼ fitness prediction model algorithm and index optimization experiments in the Internet of Things environment, and designs steps for athletesʼ physical fitness prediction in the Internet of Things environment to lay a solid foundation for related applications of athlete index optimization. The experimental results in this article show that the prediction accuracy rate of the professional group with the athleteʼs physical fitness prediction model and index optimization under the Internet of Things environment is higher than that of the control group, with a difference p < 0.001 .
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Bicaku, Ani, Markus Tauber, and Jerker Delsing. "Security standard compliance and continuous verification for Industrial Internet of Things." International Journal of Distributed Sensor Networks 16, no. 6 (June 2020): 155014772092273. http://dx.doi.org/10.1177/1550147720922731.
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Due to globalization and digitalization of industrial systems, standard compliance is gaining more attention. In order to stay competitive and remain in business, different sectors within industry are required to comply with multiple regulations. Compliance aims to fulfill regulations by including all measures imposed by laws and standards. Every device, application, or service implements several technologies at many levels, and standards support interoperability across them. They help to create global markets for industries and enable networked development in order to be successful and sustainable. This work highlights the importance of standard compliance and continuous verification in industrial Internet of Things and implements an automatic monitoring and standard compliance verification framework. In this work, we focus on security, safety, and organizational aspects of industrial Internet of Things. We identify a number of standards and best practice guidelines, which are used to extract security, safety, and organizational measurable indicator points. In addition, a metric model is provided that forms the basis for the necessary information needed for compliance verification, including requirements, standards, and metrics. Also, we present the prototype of the monitoring and standard compliance verification framework used to show the security compliance of an industrial Internet of Things use case.
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Kölsch, Johannes, Christopher Heinz, Axel Ratzke, and Christoph Grimm. "Simulation-Based Performance Validation of Homomorphic Encryption Algorithms in the Internet of Things." Future Internet 11, no. 10 (October 22, 2019): 218. http://dx.doi.org/10.3390/fi11100218.
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IoT systems consist of Hardware/Software systems (e.g., sensors) that are embedded in a physical world, networked and that interact with complex software platforms. The validation of such systems is a challenge and currently mostly done by prototypes. This paper presents the virtual environment for simulation, emulation and validation of an IoT platform and its semantic model in real life scenarios. It is based on a decentralized, bottom up approach that offers interoperability of IoT devices and the value-added services they want to use across different domains. The framework is demonstrated by a comprehensive case study. The example consists of the complete IoT “Smart Energy” use case with focus on data privacy by homomorphic encryption. The performance of the network is compared while using partially homomorphic encryption, fully homomorphic encryption and no encryption at all.As a major result, we found that our framework is capable of simulating big IoT networks and the overhead introduced by homomorphic encryption is feasible for VICINITY.
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Tyagi, Sumarga Kumar Sah, Amrit Mukherjee, Qu Boyang, and Deepak Kumar Jain. "Computing Resource Optimization of Big Data in Optical Cloud Radio Access Networked Industrial Internet of Things." IEEE Transactions on Industrial Informatics 17, no. 11 (November 2021): 7734–42. http://dx.doi.org/10.1109/tii.2021.3055818.
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Noor, Ahmed K. "The Connected Life." Mechanical Engineering 137, no. 09 (September 1, 2015): 36–41. http://dx.doi.org/10.1115/1.2015-sep-2.
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The article presents an overview of how connected or smart systems can help improve day-to-day lives and be beneficial for businesses as well. Connectivity opens a world of possibilities for improving occupant experience, reducing energy costs, and managing building equipment—three areas that can increase returns on real estate assets. Smart systems are expected to improve the efficiency of heat, light, sanitation, security, safety, and a host of services. The savings of energy alone could be significant. Connections between things and people, supported by networked processes, will enable everyone to turn vast amounts of heterogeneous data into practical information that can be used to do things that weren’t possible before, or to do familiar tasks better. Cognitive work and service assistants with deep learning and reasoning capabilities will support various human activities. The unprecedented communication can inspire creative thinking and collaborations among businesses and organizations.
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Yang, Jianliang, Hanping Hou, Yong Chen, and Lu Han. "An Internet of Things based material delivery model for disaster management in libraries." Library Hi Tech 38, no. 1 (October 4, 2019): 181–94. http://dx.doi.org/10.1108/lht-11-2017-0252.
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Purpose Based on the context of the Internet of Things (IoT), the territorial public emergency supplies will be networked, platform-based management, unified emergency dispatch. The problem of supplies dispatching in the “last kilometer” of emergency is solved, and the supplies needed in the disaster area are promptly delivered to the hands of the victims so that they can quickly be rescued after the disaster and to save valuable time for rapid rescue, which can greatly decrease casualties and property losses. This paper aims to discuss these issues. Design/methodology/approach By analyzing the shortage of existing emergency supplies dispatching research and taking all factors such as disaster area demand, social reserve, road conditions, mode of transport, loading limit, disaster area satisfaction rate and road capacity into consideration under the background of IoT, a variety of the territorial emergency supplies dispatching model with more rescue points, more affected areas are constructed. The objective function of the model is to aim in finding the shortest rescue time, giving the solution algorithm, and finally simulating the simulation case. Findings Based on the context of the IoT, the territorial public emergency supplies will be networked, platform-based management, unified emergency dispatch. Considering factors such as road conditions, modes of transport and road capacity, the authors construct a number of emergency rescue plans, multiple disaster scenarios and various emergency supplies dispatching models. The authors simulate the situation through simulation cases with the shortest time being the ultimate goal. The problem of supplies dispatching in the “last kilometer” of emergency is solved, and the supplies needed in the disaster area are promptly delivered to the hands of the victims so that they can quickly be rescued after the disaster and to save valuable time for rapid rescue, which can greatly decrease casualties and property losses. Originality/value This paper provides little research on the dispatch of emergency supplies. The problems of direct dispatch from the rescue point to the affected area and dispatch of supplies without relying on the arrival of emergency supplies at the rear are addressed. Therefore, this study does not focus on the arrival of emergency supplies at the rear but on direct dispatching issues during territorial public emergency supplies from the rescue point to the disaster point.
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Llorca Abad, Germán. "Net-Strikes: A Proposal for Re-orienting Social Struggles in the 21st Century." Debats. Revista de cultura, poder i societat 5 (December 30, 2020): 303–16. http://dx.doi.org/10.28939/iam.debats-en.2020-18.
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The globalisation of the economy and the slow but steady loss of Nation-States’ power to global enterprises and financial capital force us to redefine strikes as a weapon for advancing social causes. The institutions legitimising this form of protest have changed greatly in the 21st Century. They must recoup their ability to change things if they are to remain an effective tool. The following paper reveals the reasons behind the decline of strikes in the modern world and proposes the ‘net-strike’ concept (or networked strike): a formula for bringing strikes up to date to meet today’s challenges.
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Yoshihiro, Muragaki, Jun Okamoto, Taiichi Saito, Satoshi Usui, Ushio Yonezawa, Kaoru Kurisu, Tetsuya Goto, et al. "STMO-06 SMART CYBER OPERATING THEATER REALIZED BY INTERNET OF THINGS - RESULTS OF CLINICAL STUDY FOR 56 CASES." Neuro-Oncology Advances 1, Supplement_2 (December 2019): ii19. http://dx.doi.org/10.1093/noajnl/vdz039.086.
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Abstract PURPOSE Unlike conventional operating rooms that provide a sterilized space, we have developed a Smart Cyber Operating Theater (SCOT) in which the room itself performs treatment as a single medical device. We report the clinical results of 3 types of SCOT. METHODS Basic SCOT packaged with intraoperative MRI (0.4Tesla) was introduced in Hiroshima University in 2016. Standard SCOT networked with middleware OPeLiNK was introduced to Shinshu University in 2018, and Hyper SCOT introduced to Tokyo Women’s Medical University in 2019. RESULTS The average of all 56 patients was 44 years old. There were 38 brain tumors (68%), 11 functional diseases (19%), and 7 orthopedic diseases (13%). Basic SCOT is used for 41 cases (/56; 73%) with 22 gliomas, 10 epilepsies, 7 bone tumors, and 2 benign brain tumors. Standard SCOT with 20 networked devices is used for 14 cases (/56; 25%) with 6 gliomas including brain stem and thalamus, 6 pituitary tumors and 2 benign brain tumors. The strategy desk can display a variety of digital data synchronized in time, and the review and comment functions also operate. It is useful for remote advice through mutual communication via strategy desk. Hyper SCOT was used in February 2019 for the first case (1/56 cases; 2%). MRI images were taken with an average of 1.3 shots with good image quality. For 46/56 neoplastic lesions (82%), additional removal of residual tumor was performed in 31/46 cases (67%), and 26/46 cases (57%) were totally removed, with an average removal rate of 89.2%. There was no reoperation (0%) within 1 month in all cases. CONCLUSIONS Three types of SCOT contributed to planned surgical outcome including maximal tumor resection without serious related complications. We will proceed with verification of clinical effects, and develop robotized devices, and utilize AI for strategy desk at Hyper SCOT.
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Ali, Zulfiqar, Kashif Naseer Qureshi, Kainat Mustafa, Rasool Bukhsh, Sheraz Aslam, Hana Mujlid, and Kayhan Zrar Ghafoor. "Edge Based Priority-Aware Dynamic Resource Allocation for Internet of Things Networks." Entropy 24, no. 11 (November 4, 2022): 1607. http://dx.doi.org/10.3390/e24111607.
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The exponential growth of the edge-based Internet-of-Things (IoT) services and its ecosystems has recently led to a new type of communication network, the Low Power Wide Area Network (LPWAN). This standard enables low-power, long-range, and low-data-rate communications. Long Range Wide Area Network (LoRaWAN) is a recent standard of LPWAN that incorporates LoRa wireless into a networked infrastructure. Consequently, the consumption of smart End Devices (EDs) is a major challenge due to the highly dense network environment characterised by limited battery life, spectrum coverage, and data collisions. Intelligent and efficient service provisioning is an urgent need of a network to streamline the networks and solve these problems. This paper proposes a Dynamic Reinforcement Learning Resource Allocation (DRLRA) approach to allocate efficient resources such as channel, Spreading Factor (SF), and Transmit Power (Tp) to EDs that ultimately improve the performance in terms of consumption and reliability. The proposed model is extensively simulated and evaluated with the currently implemented algorithms such as Adaptive Data Rate (ADR) and Adaptive Priority-aware Resource Allocation (APRA) using standard and advanced evaluation metrics. The proposed work is properly cross validated to show completely unbiased results.
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Fisher, Andrew, Anke Hennig, Bernd Behr, Daniel Rubinstein, Martin Charvát, Peter Szendy, and Tomáš Dvořák. "The promise of photography: Scale, measure and proportion in a conflicted visual milieu." Philosophy of Photography 12, no. 1 (October 1, 2021): 27–69. http://dx.doi.org/10.1386/pop_00047_1.
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This roundtable discussion is based on an online symposium – The Promise of Photography: Scale, Measure and Proportion in a Conflicted Visual Milieu – which took place on 17 September 2021. Since its inception, photography has promised to set things to scale, to grant them measure and proportion, a series of promises that have also entailed moments of irrationality or conflict that persist in and continue to shape the era of global networked digital imaging technologies. The symposium started out from the diagnosis that, whilst photography continues to promise an ordered, proportionate and measured world in which things can be set to their proper scale, it also acts in many ways as an agent of dismeasure, disproportion and the unscalable. In light of this, the roundtable discussion presented here examines a range of different meanings that scale, measure and proportion have accrued in the photographic context and sets out to explore conceptual frameworks and research methodologies through which the current situation might be understood.
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Upward, Frank. "The monistic diversity of continuum informatics." Records Management Journal 29, no. 1/2 (March 11, 2019): 258–71. http://dx.doi.org/10.1108/rmj-09-2018-0028.
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Purpose The Information Age during the transition from the paper era to the digital one saw the fracturing and fragmenting of the information-based specialisations. More recently, professional norms for governance have been swept aside within new business models based on information based business applications. This paper aims to support an advance towards networked cohesion based on informatics, regenerating professionalism for the complex networked age. Design/methodology/approach New regulatory approaches will have to manage monistic diversity, connecting the deeper logic of continuum thinking in which information governance exists as part of a simple whole (the monistic component) with a recognition that the parts of information governance are much more complex than the whole (the expanding diversity). A continuum approach of this type involves studying things in motion as part of evolutionary processes. Findings The production of information is galloping ahead of its authoritative management, and this is at the heart of many of the failings of the post-truth information era. Informatics with its emphasis upon the joint operation of technologies, social processes and knowledge forming and its ability to be an umbrella term for many specialisations can be a cohering force. Practical implications The alignment of thought, action and ethical information governance across inter-connected practices for individuals, groups and organisations can be supported by the deeper logic and grounded experience of continuum thinking. Originality/value This paper will look to expand the array of sympathisers who wish to get more in touch with studying things in motion, including those trying to cope with the need to develop more adequate ways for managing nanosecond archiving processes.
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Winkler, Robert. "MeteoMex: open infrastructure for networked environmental monitoring and agriculture 4.0." PeerJ Computer Science 7 (February 23, 2021): e343. http://dx.doi.org/10.7717/peerj-cs.343.
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Air, water, and soil are essential for terrestrial life, but pollution, overexploitation, and climate change jeopardize the availability of these primary resources. Thus, assuring human health and food production requires efficient strategies and technologies for environmental protection. Knowing key parameters such as soil moisture, air, and water quality is essential for smart farming and urban development. The MeteoMex project aims to build simple hardware kits and their integration into current Internet-of-Things (IoT) platforms. This paper shows the use of low-end Wemos D1 mini boards to connect environmental sensors to the open-source platform ThingsBoard. Two printed circuit boards (PCB) were designed for mounting components. Analog, digital and I2C sensors are supported. The Wemos ESP8266 microchip provides WiFi capability and can be programed with the Arduino IDE. Application examples for the MeteoMex aeria and terra kits demonstrate their functionality for air quality, soil, and climate monitoring. Further, a prototype for monitoring wastewater treatment is shown, which exemplifies the capabilities of the Wemos board for signal processing. The data are stored in a PostgreSQL database, which enables data mining. The MeteoMex IoT system is highly scalable and of low cost, which makes it suitable for deployment in agriculture 4.0, industries, and public areas. Circuit drawings, PCB layouts, and code examples are free to download from https://github.com/robert-winkler/MeteoMex.