Searched for: subject%3A%22Internet%255C+of%255C+Things%22
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Warringa, Bob (author)
Modern manufacturing operations rely on accurate, real time data for efficient operation and control of the production process. Many small and medium sized enterprises (SMEs) still operate with legacy assets, limiting their access to a clear data picture. This thesis research and its design solutions help SMEs gain real time insights into their...
master thesis 2023
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Huang, Ruoyu (author)
Internet of Things (IoT) devices regularly process sensitive data, including personal information. Therefore, ensuring their security is crucial to avoid damage and prevent data breaches. The Advanced Encryption Standard (AES) is generally regarded as one of the most popular cryptographic algorithms for ensuring data security. Typical...
master thesis 2023
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Fijneman, Mark (author)
Existing tools for debugging battery-free applications are limited to specific architectures or require code changes of the Device Under Test (DUT) to function. These tools also cannot measure the efficiency of the application designed for battery-free systems. Currently, there is a lack of independent broad comparisons of intermittent systems....
master thesis 2023
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Turcios Rodriguez, E.R. (author)
In recent years the number of Internet-connected devices (aka as Internet of Things (IoT)) has increased dramatically. IoT Manufacturers have launched into the market a variety of IoT products to make a profit, while users buy them for the convenience of the technology. Despite IoT technology’s benefits to society, infected IoT devices with...
doctoral thesis 2023
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de Winkel, J. (author)
The ecological impact of today’s battery-powered Internet of Things (IoT) is troubling. Technology advancements that reduce the reliance on batteries could blunt the environmental impact of the projected billions of IoT devices. With the emergence of low-cost, small, and high-performance microcontrollers, along with more efficient micro-energy...
doctoral thesis 2023
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van den Eeden, Lars (author)
The Internet of Things industry is expanding rapidly. However, many security breaches occur, and privacy is often at stake in traditional IoT networks. These centralized systems will not be able to cope with dynamically changing environments. In light of these risks, it is crucial to prevent and minimize the chances of attacks occurring....
bachelor thesis 2023
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Janssen, Jeroen (author)
The Internet of Things (IoT) is producing significant amounts of data. Protecting this data from adversaries is therefore a prominent field of research. This paper conducts a review of the current state-of-the-art in the field of IoT integrated with Blockchain (BC) and Machine Learning (ML). The review focuses on the use of privacy and...
bachelor thesis 2023
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Kramer, Tim (author)
The dramatic increase in the number of Internet of Things (IoT) devices has created rapid growth for exploitation of security flaws and vulnerabilities. Particularly for critical infrastructure and real-time systems security threats can be highly damaging. Machine Learning (ML) algorithms have demonstrated the ability to combat the security...
bachelor thesis 2023
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Couwenberg, Ruben (author)
The Internet of Things (IoT) consists out of billions of devices. This vast size magnifies the security and efficiency challenges the IoT faces. Blockchain (BC) features like decentralisation, immutability and smart contracts can negate these IoT challenges. <br/>In this paper we discuss how BC based solutions can significantly increase the...
bachelor thesis 2023
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Meijer, Wo (author)
This paper documents a method for collecting user feedback on broken or malfunctioning devices dubbed Destructive Feedback; where the user deliberately “breaks” the device by removing an affordance. This makes it easier to detect visually and with sensors, as well as discourages others from using a broken device. This method is inspired by...
conference paper 2023
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Amanatidis, Petros (author), Karampatzakis, Dimitris (author), Iosifidis, G. (author), Lagkas, Thomas (author), Nikitas, Alexandros (author)
The development of computer hardware and communications has brought with it many exciting applications in the Internet of Things. More and more Single Board Computers (SBC) with high performance and low power consumption are used to infer deep learning models at the edge of the network. In this article, we investigate a cooperative task...
journal article 2023
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van Beek, E. (author), Giaccardi, Elisa (author), Boess, S.U. (author), Bozzon, A. (author)
By 2027 more than 530 M homes will likely adopt at least one type of automated system. This means that a growing number of residents will be living with automated technology in the home, everyday. But living with smart homes is full of conflicts between what residents find appropriate and what technology does instead. Previous research,...
journal article 2023
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Shao, Deo (author), Ishengoma, Fredrick R. (author), Alexopoulos, Charalampos (author), Saxena, Stuti (author), Nikiforova, Anastasija (author), Matheus, R. (author)
Purpose: The purpose of this paper is to highlight the drivers, barriers, benefits and risks affecting the integration of Internet of Things (IoT) into the e-government and to provide a future research agenda. Design/methodology/approach: Existing literature examining the relationships between e-government and IoT is scanned and evaluated by...
journal article 2023
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Ren, Liyuan (author), Yarovoy, Alexander (author), Fioranelli, F. (author)
The problem of radar-based counting of multiple individuals moving as a single group is addressed using an mm-wave multiple-input-multiple-output (MIMO) frequency-modulated continuous wave (FMCW) radar. This problem is challenging because the different individuals are closer to each other than the range/azimuth resolution, and their bulk...
journal article 2023
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Abdellatif, Alaa Awad (author), Mhaisen, N. (author), Mohamed, Amr (author), Erbad, Aiman (author), Guizani, Mohsen (author)
The rise of chronic disease patients and the pandemic pose immediate threats to healthcare expenditure and mortality rates. This calls for transforming healthcare systems away from one-on-one patient treatment into intelligent health systems, leveraging the recent advances of Internet of Things and smart sensors. Meanwhile, reinforcement...
journal article 2023
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Nazari, Amin (author), Kordabadi, Mojtaba (author), Mohammadi, R. (author), Lal, C. (author)
Internet of Medical Thing (IoMT) is an emerging technology in healthcare that can be used to realize a wide variety of medical applications. It improves people’s quality of life and makes it easier to care for the sick individuals in an efficient and safe manner. To do this, IoMT leverages the capabilities of some new technologies including...
journal article 2023
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Telikani, Akbar (author), Rudbardeh, Nima Esmi (author), Soleymanpour, Shiva (author), Shahbahrami, Asadollah (author), Shen, Jun (author), Gaydadjiev, G. (author), Hassanpour, Reza (author)
A problem with machine learning (ML) techniques for detecting intrusions in the Internet of Things (IoT) is that they are ineffective in the detection of low-frequency intrusions. In addition, as ML models are trained using specific attack categories, they cannot recognize unknown attacks. This article integrates strategies of cost-sensitive...
journal article 2023
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Akkaoui, R. (author), Stefanov, Alexandru (author), Palensky, P. (author), Epema, D.H.J. (author)
The solar industry in residential areas has been witnessing an astonishing growth worldwide. At the heart of this transformation, affecting the edge of the electricity grid, reside smart inverters (SIs). These IoT-enabled devices aim to introduce a certain degree of intelligence to conventional inverters by integrating various grid support...
journal article 2023
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Sharma, Bhawana (author), Sharma, Lokesh (author), Lal, C. (author), Roy, Satyabrata (author)
Internet of Things (IoT) applications are growing in popularity for being widely used in many real-world services. In an IoT ecosystem, many devices are connected with each other via internet, making IoT networks more vulnerable to various types of cyber attacks, thus a major concern in its deployment is network security and user privacy. To...
journal article 2023
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Chiasson, David (author), Lin, Yuan (author), Kok, M. (author), Shull, Peter (author)
Hyperbolic localization measures the time difference of arrivals (TDOAs) of signals to determine the location of a wireless source or receiver. Traditional methods depend on precise clock synchronization between nodes so that time measurements from independent devices can be meaningfully compared. Imperfect synchronization is often the dominant...
journal article 2023
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