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作者： Ruiz, Pablo Mateos, Javier Molina, Rafael Katsaggelos, Aggelos K. Dpto. de Ciencia de la Computación e I.A. Universidad de Granada Spain Dpt. of Electrical Engineering and Computer Science Northwestern University United States

ISBN: (纸本)9781479957514

Many real classification tasks are oriented to sequence (neighbor) labeling, that is, assigning a label to every sample of a signal while taking into account the sequentiality (or neighborhood) of the samples. This is normally approached by first filtering the data and then performing classification. In consequence, both processes are optimized separately, with no guarantee of global optimality. In this work we utilize Bayesian modeling and inference to jointly learn a classifier and estimate an optimal filterbank. Variational Bayesian inference is used to approximate the posterior distributions of all unknowns, resulting in an iterative procedure to estimate the classifier parameters and the filterbank coefficients. In the experimental section we show, using synthetic and real data, that the proposed method compares favorably with other classification/filtering approaches, without the need of parameter tuning. © 2014 IEEE.

关键词： Classification (of information)

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New experimental methods for determining electromagnetic field attenuation in nanomaterials

New experimental methods for determining electromagnetic fie...

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International Symposium for Design and Technology of Electronics Packages (SIITME)

作者： Lia Elena Aciu George Nicolae Petre Ogrutan Electrical Engineering and Computer Science Dpt. Transilvania University of Brasov Romania

The interaction between electromagnetic radiation and infinite plane shield having finite thickness d, placed in free space in the plane waves region depends on material/shield macroscopic parameters (¿, ¿, ¿), its thickness, radiation frequency and incidence angle. Lately, entirely new classes of materials have been developed. Knowing the characteristics and the behavior of nanomaterials inside different media creates wide opportunities for a variety of industrial applications. For that reason, a simple method to determine their electromagnetic field (EMF) attenuation properties is also necessary. This paper presents experimental methods for the investigation of nanomaterials behavior inside the EMF.

关键词： Electromagnetic fields Attenuation Nanomaterials

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Configurable baseband digital transceiver for Gbps wireless 60 GHz communications

Configurable baseband digital transceiver for Gbps wireless ...

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2011 18th IEEE International Conference on Electronics, Circuits and Systems, ICECS 2011

作者： Diamantopoulos, D. Galiatsatos, P. Karachalios, A. Lentaris, G. Reisis, D. Soudris, D. Department of Physics Electronics Laboratory National and Kapodistrian University of Athens Panepistimiopolis 157-84 Athens Greece School of Electrical and Computer Engineering Dpt. of Computer Science National Technical University of Athens Zografos 157-80 Athens Greece

ISBN: (纸本)9781457718458

The evolution of 60 GHz wireless networks using Orthogonal Frequency Division Multiplexing (OFDM) technique imposed requirements of increased processing in the baseband implementations. The current paper focuses on the design of a pipelined architecture realizing the baseband functions. The design bases on using parallel paths to achieve a throughput of 1.6 Gbps. The number of paths is configured at compile time to be 4, 8 or 16, for achieving maximal throughput by either using cutting edge technology FPGA platforms or target implementations with low cost devices. FPGA implementations validate the results. © 2011 IEEE.

关键词： Orthogonal frequency division multiplexing

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Implementing a Blockchain Based System for Healthcare applications Using Digital Twin

Implementing a Blockchain Based System for Healthcare Applic...

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Intelligent Systems and Embedded Design (ISED), International Conference on

作者： Bouchra Zinab Benattia Nour El Houda Maicha Chaker Abdelaziz Kerrache Geetanjali Rathee Carlos T. Calafate Dpt. of Computer Science Université Amar Telidji de Laghouat Laghouat Algeria Dpt. of Computer Science and Engineering Netaji Subhas University of Technology New Delhi India Dpt. of Computer Engineering Universitat Politècnica de València València Spain

With the increasing focus on healthcare, especially real-time analytics and self-diagnosis, the interest in capturing real-time patient data has increased significantly for both physicians and patients. The development of smart devices that can collect data such as blood pressure, heart rate, blood sugar level, etc., has greatly contributed to improving individual health management capabilities. However, these advances also, bring challenges such as concerns over safety, reliability, and accurate diagnosis. Problems often arise, especially when exchanging information and transmitting data. To overcome these challenges, this project uses blockchain technology to improve data transmission and security. This study explores the use of blockchain-based internet solutions by integrating blockchain into smart health-care. Additionally, the digital twin concept is used to improve diagnosis by simulating the effects of drugs on virtual objects. Based on the results of these simulations, physicians can make informed decisions about appropriate medications and accurately assess a patient's condition. A health monitoring system using digital twin technology and blockchain can be implemented to securely organize the collection of user information and enable accurate diagnosis. This integration ensures secure storage and transmission of your data and improves your health outcomes. In this paper, we study the integrating blockchain technology with Digital Twin for patient health monitoring. We showcase an interface connected to the blockchain database, specifically designed for doctors to review patient health records through patient wallet address and determine the normalcy of the patient's heart rate based on their medical data. Additionally, the interface allows doctors to predict the effect of medication on the patient's heart rate and blood pressure.

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JFML-IoT: Fuzzy Control for IoT Systems based on the IEEE std 1855–2016

JFML-IoT: Fuzzy Control for IoT Systems based on the IEEE st...

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IEEE International Conference on Fuzzy Systems (FUZZ-IEEE)

作者： Alberto Ramírez-Mena Sofía Cámara-Sánchez Jesús Alcalá-Fdez María Martínez-Rojas Jose Manuel Soto-Hidalgo Information Technology Unit Genyo Spain Dpt. Computer Science and A.I. University of Granada Spain Dpt. Building Construction University of Granada Spain Dpt. Computer Engineering Automation and Robotics University of Granada Spain

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.

关键词： Uncertainty Source coding Scalability Noise Collaboration IEEE Standards Libraries

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Non-Parametric Bootstrap Detection of Availability Service Level Objective Violations in Cloud Storage

Non-Parametric Bootstrap Detection of Availability Service L...

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Network Traffic Measurement and Analysis Conference (TMA)

作者： Maurizio Naldi Dpt. of Civil Engineering and Computer Science University of Rome Tor Vergata Rome Italy

Service quality commitments in cloud service provisioning are typically described in Service Level Agreements (SLA). Service availability is always a major parameter to be included in such SLAs. and the cloud provider is bounded to guarantee a minimum availability value, for which current cloud monitoring systems employ a naive estimator. In this paper a new estimation method is proposed for service availability, which is based on the bootstrap technique and employs a non-parametric statistical hypothesis test. Through Monte Carlo simulation, the method is shown to be much more accurate than the naive one under three stochastic models for the durations of operating and outage periods, exhibiting a Type I error probability lower than 1 % in most cases, while the naive estimator yields error probabilities around 40%.

关键词： Cloud computing Mathematical model Computational modeling Error probability Monitoring Estimation Monte Carlo methods

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Enhancing Concept Drift Detection in Drifting and Imbalanced Data Streams through Meta-Learning

Enhancing Concept Drift Detection in Drifting and Imbalanced...

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IEEE International Conference on Big Data

作者： Gabriel Jonas Aguiar Alberto Cano Dpt. of Computer Science College of Engineering Virginia Commonwealth University Richmond VA USA

One of the biggest challenges in learning from data streams is adapting the classification model to new data. Due to the evolving nature of data streams, they are subject to a phenomenon known as concept drift that makes previously learned knowledge and model outdated. Therefore, concept drift must be efficiently detected in order to adapt the classification model. While there exists a plethora of drift detectors, with different mechanisms, selecting the most suitable for a new stream is a difficult task, since apriori knowledge may not be available and changes over time can affect the performance of the detector. This paper proposes a framework that exploits statistical and temporal meta-features from sliding windows to dynamically recommend a suitable drift detector in real-time for unseen chunks of streams according to its properties using Meta-Learning. We performed experiments on 10 real-world data streams and 18 synthetic generated data streams that were subject to concept drift and class imbalance in order to evaluate the performance of the proposed framework. Experiments exposed that the proposed approach was able to enhance the concept drift detection in a variety of scenarios demonstrating robustness to class imbalance and the advantages of dynamically selecting the drift detector.

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When Circular Economy Meets the Smart City Ecosystem: Defining the Smart and Circular City

When Circular Economy Meets the Smart City Ecosystem: Defini...

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IEEE International Smart Cities Conference (ISC2)

作者： Georgios Mylonas Athanasios Kalogeras Sobah Abbas Petersen Luis Muñoz Ioannis Chatzigiannakis Industrial Systems Institute Athena Research Center Patras Greece Dpt. of Computer Science Norwegian University of Science and Technology Trondheim Norway Dpt. of Communications Engineering Universidad de Cantabria Santander Spain Dpt. of Computer Control and Management Engineering Sapienza University of Rome Rome Italy

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.

关键词： Heart Climate change Smart cities Ecosystems Focusing Fourth Industrial Revolution Proposals Sustainable development Resilience Business

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Cryptanalysis of TRUTH: Fixing a Protocol to Make it 5G-Compliant

Cryptanalysis of TRUTH: Fixing a Protocol to Make it 5G-Comp...

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2024 International Symposium on Networks, computers and Communications, ISNCC 2024

作者： Munilla, J. Burmester, M. Caballero-Gil, P. University of Málaga Dpt. of Telecommunication Engineering Málaga29071 Spain Florida State Unviersity Department of Computer Science TallahasseeFL32304 United States University of La Laguna Dept. of Computer Science and Ai Tenerife La Laguna Spain

ISBN: (纸本)9798350364910

Trust and security are critical deployment require-ments for Industrial Internet of Things (IIoT) networks. A recent protocol, called TRUTH, integrates security mechanisms for authentication and privacy alongside a Dempster-Shafer based trust model, to assess the trustworthiness of collected data. We analyze this protocol and show that it does not comply with the implementation requirements of the 5G standard, and that flaws in the identification of involved parties hinder its adoption by 5G devices. We show how to fix this protocol and tailor it for the specific 5G implementation constraints, by enhancing its computational and communication performance. Finally, we show how to prove the security of this fixed protocol (TRUTH +) using the Tamarin automated verification tool. © 2024 IEEE.

关键词： Authentication Protocol

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When Circular Economy Meets the Smart City Ecosystem: Defining the Smart and Circular City

arXiv

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arXiv 2024年

作者： Mylonas, Georgios Kalogeras, Athanasios Petersen, Sobah Abbas Muñoz, Luis Chatzigiannakis, Ioannis Industrial Systems Institute Athena Research Center Patras Greece Dpt. of Computer Science Norwegian University of Science and Technology Trondheim Norway Dpt. of Communications Engineering Universidad de Cantabria Santander Spain Dpt. of Computer Control and Management Engineering Sapienza University of Rome Rome Italy

关键词： Circular economy

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