The investigation focused on the phenomenon of percolation within a system of straight nanotubes, with the development of an adapted model to characterize this process. A computational algorithm was devised to ascerta...
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ISBN:
(数字)9798350368178
ISBN:
(纸本)9798350368185
The investigation focused on the phenomenon of percolation within a system of straight nanotubes, with the development of an adapted model to characterize this process. A computational algorithm was devised to ascertain the percolation probability of nanotubes, utilizing tools for 3D graphics visualization. The study delved into the impact of geometric dimensions and nanotube concentration on the percolation probability. The research explored the correlation between percolation probability and the dispersion angle, which determines the orientation of nanotubes. By analyzing this relationship, fundamental patterns emerged in the formation of conductive clusters under the influence of an electric field. This analysis facilitated the identification of optimal parameters for a nanotube system capable of demonstrating field-controlled percolation.
The Internet of Things is revolutionizing how in-terconnected devices communicate and interact within several applications, ranging from health monitoring to smart city development. Yet, the data management in these s...
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ISBN:
(数字)9798350319545
ISBN:
(纸本)9798350319552
The Internet of Things is revolutionizing how in-terconnected devices communicate and interact within several applications, ranging from health monitoring to smart city development. Yet, the data management in these systems is challenged by imprecision and noise inherent in Internet of Things environments. Fuzzy Rule-Based Systems have emerged as a solution, aptly handling the uncertainty and complexity in decision-making processes these environments present. However, current Fuzzy Rule-Based Systems implementations in Internet of Things often face limitations due to their ad-hoc nature and heavy reliance on specific hardware, thereby restricting their application in diverse and evolving Internet of Things infrastructures. In response to these challenges, we present JFML-IoT, an innovative open-source library that bridges the gap between Fuzzy Rule-Based Systems and Internet of Things devices. JFML-IoT extends the JFML library, implementing the IEEE Std 1855-2016 for Fuzzy Markup Language and adapting its capabilities to the unique demands of the Internet of Things paradigm. This library not only facilitates remote Fuzzy Rule-Based Systems deployment but also excels in generating source code for Internet of Things microcontrollers, thus enabling a new level of hardware abstraction and versatility. Our approach significantly enhances the scalability, flexibility, and integration of Fuzzy Rule-Based Systems within varied Internet of Things systems. To demonstrate the practical application and effectiveness of JFML-IoT, we conducted a case study in a real-world environment. This case study showcases how JFML-IoT can improve data management in Internet of Things systems, offering scalable, efficient, and adaptable solutions that are critical in modern Internet of Things applications.
Recently, the Internet of Things (IoT) has gained widespread popularity, yet its security remains a critical challenge due to the massive amount of information generated by connected devices. While encryption algorith...
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ISBN:
(数字)9798350350265
ISBN:
(纸本)9798350350272
Recently, the Internet of Things (IoT) has gained widespread popularity, yet its security remains a critical challenge due to the massive amount of information generated by connected devices. While encryption algorithms are commonly employed to protect this information, they are susceptible to various attacks. This paper introduces a novel encryption method to enhance data security in the Consumer IoT domain. The proposed approach combines DNA-inspired encryption with blockchain technology. The DNA encryption algorithm is utilized for the primary encryption phase, followed by the secure handling of encrypted data using blockchain. To evaluate the proposed scheme, a comparison is made with traditional techniques such as RSA, DNA, and a hybrid of both, considering encryption and decryption times. Simulations are conducted using MATLAB software, and an analytical study is performed to assess the performance of the suggested scheme.
The UAV-mounted base station has been integrated into 5G and beyond to provide communication in an emergency when conventional systems fail due to some reason. Moreover, it is also used in coverage enhancement and for...
The UAV-mounted base station has been integrated into 5G and beyond to provide communication in an emergency when conventional systems fail due to some reason. Moreover, it is also used in coverage enhancement and for other strategic purposes. In this work, we have considered a MIMO-OFDM based UAV system that is inclined to fast-fading channels due to the continuous motion of UAVs. Due to the mobility of UAVs, there is a frequency and timing offset which must be estimated for proper and seamless communication. For that purpose, we have proposed a data-aided maximum likelihood-based scheme that efficiently estimates the carrier frequency and timing offset. Results show that our algorithm outperforms the state-of-the-art system in terms of MSE.
Wearable and smartphone-based emotion recognition (WER) remains a challenging setting in affective computing, due to the notorious difficulty and bias associated with in-thewild label collection. The high inter-and in...
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ISBN:
(数字)9798350368741
ISBN:
(纸本)9798350368758
Wearable and smartphone-based emotion recognition (WER) remains a challenging setting in affective computing, due to the notorious difficulty and bias associated with in-thewild label collection. The high inter-and intra-subject emotional variability motivates us to explore WER modeling through graph node classification in a limited resources learning scheme powered by Self-Supervised Learning (SSL) graph masking augmentation tasks. We employ a subgraph sampling approach during training, utilizing labeled and unlabeled data, along with supervised, semi-supervised, and SSL mechanisms in a multi-task inductive graph neural network architecture. Our evaluations on K-EmoPhone through leave-one-group-out cross-validation in the binary arousal and valence tasks yield average accuracy gains of 4.3% and 7.8%, compared to the full resource setting, utilizing only 20% and 25% of the labels, respectively. Our model analysis sheds light on the relation of SSL graph augmentations to emotional arousal and valence and justifies the approach of SSL-driven subgraph training for in-the-wild WER.
Smart cities have been a very active research area in the past 20 years, while continuously adapting to new technological advancements and keeping up with the times regarding sustainability and climate change. In this...
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ISBN:
(数字)9798350364316
ISBN:
(纸本)9798350364323
Smart cities have been a very active research area in the past 20 years, while continuously adapting to new technological advancements and keeping up with the times regarding sustainability and climate change. In this context, there have been numerous proposals to expand the scope of smart cities, focusing on resilience and sustainability, among other aspects, resulting in terms like smart sustainable cities. At the same time, there is an ongoing discussion regarding the degree in which smart cities put people at their centre. In this work, we argue toward expanding the current smart city definition by integrating the circular economy as one of its central pillars and adopting the term smart (and) circular city. We discuss the ways a smart and circular city encompasses both sustainability and smartness in an integral manner, while also being well-positioned to foster novel business activity and models and helping to place citizens at the heart of the smart city. In this sense, we also argue that previous research in smart cities and technologies, such as those related to Industry 4.0, can serve as a cornerstone to implement circular economy activities within cities, at a scale that exceeds current activities that are based on more conventional approaches. We also outline current open challenges in this domain and research questions that still need to be addressed.
Influence of beta - and gamma -radiation on the electrical properties of nanocomposites obtained from poly(3,4-ethylenedioxythiophene)-poly(styrenesulfonate) and multi-walled carbon nanotubes were performed. It is sho...
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Smart cities have been a very active research area in the past 20 years, while continuously adapting to new technological advancements and keeping up with the times regarding sustainability and climate change. In this...
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Dynamic alterations in internal defect-associated free volume in the Ge-Ga-S glasses with different amount of CsCl content were investigated using positron annihilation lifetime spectroscopy. The presence of CsCl in t...
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ISBN:
(数字)9798350368178
ISBN:
(纸本)9798350368185
Dynamic alterations in internal defect-associated free volume in the Ge-Ga-S glasses with different amount of CsCl content were investigated using positron annihilation lifetime spectroscopy. The presence of CsCl in the glassy matrix of Ge-Ga-S subjected to cold crystallization leads to a change in free volume defects, which are described by the parameters of the second component of the annihilation spectrum. It is shown that the addition of CsCl to the base glass results in the agglomeration of free volume defects, their increase, and further fragmentation in samples with the highest CsCl content. In the case of nanocomposites, where processes are described by the third component of the annihilation spectrum, initial pore agglomeration processes occur, followed by a decrease in their quantity and size with the addition of optimal CsCl content and an increase with maximum CsCl content as wel as addition annihilation in water. Analyzing the obtained results allows selecting samples with optimal CsCl content for further practical applications in photonics and sensing.
Process mining collects a variety of techniques. To test and compare these techniques, we need event logs tailored to their specific mining purposes, e.g., process discovery and conformance checking. To this aim, we p...
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