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Interoperability for embedded systems in JFML software: An Arduino-based implementation

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Interoperability for embedded systems in JFML software: An A...

2018 IEEE International Conference on Fuzzy Systems, FUZZ 2018

作者： Arcos, Francisco Jesús Soto-Hidalgo, José Manuel Vitiello, Autilia Acampora, Giovanni Alcalá-Fdez, Jesús Dpt. of Computer Science and A.I. University of Granada Granada18071 Spain Dpt. of Electronics and Computer Engineering University of Córdoba Córdoba Spain Department of Computer Science University of Salerno Salerno Italy Dpt. of Physics Ettore Pancini University of Naples Federico II Naples Italy

ISBN: (纸本)9781509060207

Fuzzy Logic Systems have been successfully used in a wide range of real-world problems. They can include a priori expert knowledge and represent systems for which it is not possible to obtain a mathematical model. The standard IEEE Std 1855TM-2016 was established to provide the fuzzy community with a unique and well-defined tool allowing a fuzzy logic system design completely independent from the specific hardware/software. Recently, the library Java Fuzzy Markup Language (JFML) offers a complete implementation of the standard, however, the actual version of the JFML does not support the development of fuzzy inference systems on specific types of hardware. The aim of this paper is to develop an interoperability module to design and running FLS for embedded systems in JFML, concretely for Arduino boards. In addition, a communication protocol between JFML and Arduino boards is also defined, removing the limited computing capacity usually offered by embedded systems. A case study with a wall-following fuzzy controller to manage a mobile robotic in two environments is developed in order to illustrate the potential of the new interoperability module. © 2018 IEEE.

关键词： Open source software

Fake News, Disinformation, and Deepfakes: Leveraging Distributed Ledger Technologies and Blockchain to Combat Digital Deception and Counterfeit Reality

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arXiv 2019年

作者： Fraga-Lamas, Paula Fernández-Caramés, Tiago M. Dpt. of Computer Engineering Centro de investigación CITIC Faculty of Computer Science Universidade da Coruña A Coruña15071 Spain

The rise of ubiquitous deepfakes, misinformation, disinformation and post-truth, often referred to as fake news, raises concerns over the role of Internet and social media in modern democratic societies. Due to its rapid and widespread diffusion, digital deception has not only an individual or societal cost, but it can lead to significant economic losses or to risks to national security. Blockchain and other Distributed Ledger Technologies (DLTs) guarantee the provenance and traceability of data by providing a transparent, immutable and verifiable record of transactions while creating a peer-to-peer secure platform for storing and exchanging information. This overview aims to explore the potential of DLTs to combat digital deception, describing the most relevant applications and identifying their main open challenges. Moreover, some recommendations are enumerated to guide future researchers on issues that will have to be tackled to strengthen the resilience against cyber-threats on today's online media. Copyright © 2019, The Authors. All rights reserved.

关键词： Cybersecurity

A review of sentiment computation methods with R packages

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arXiv 2019年

作者： Naldi, Maurizio University of Rome Tor Vergata Dpt. of Civil Engineering and Computer Science Via del Politecnico 1 Rome00133 Italy

Four packages in R are analyzed to carry out sentiment analysis. All packages allow to define custom dictionaries. Just one - SentimentR - properly accounts for the presence of negators. Copyright © 2019, The Aut... 详细信息

关键词： Sentiment analysis

From cyber-security deception to manipulation and gratification through gamification

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arXiv 2019年

作者： Bellekens, Xavier Jayasekara, Gayan Hindy, Hanan Bures, Miroslav Brosset, David Tachtatzis, Christos Atkinson, Robert Abertay University Division of Cyber-Security United Kingdom Naval Cyber Defense Ecole navale France Czech Technical University in Prague Dpt. of Computer Science Faculty of Electrical Engineering Czech Republic University of Strathclyde Dpt. of Electronic & Electrical Engineering United Kingdom

With the ever growing networking capabilities and services offered to users, attack surfaces have been increasing exponentially, additionally, the intricacy of network architectures has increased the complexity of cyber-defenses, to this end, the use of deception has recently been trending both in academia and industry. Deception enables to create proactive defense systems, luring attackers in order to better defend the systems at hand. Current applications of deception, only rely on static, or low interactive environments. In this paper we present a platform that combines human-computer-interaction, analytics, gamification and deception to lure malicious users into selected traps while piquing their interests. Furthermore we analyse the interactive deceptive aspects of the platform through the addition of a narrative, further engaging malicious users into following a predefined path and deflecting attacks from key network systems. Copyright © 2019, The Authors. All rights reserved.

关键词： Cybersecurity

Active flow control for external aerodynamics: from micro air vehicles to a full aircraft in stall

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Journal of Physics: Conference Series 2020年第1期1522卷

作者： Oriol Lehmkuhl Adrián Lozano-Durán Ivette Rodriguez Dpt. of Computer Applications in Science and Engineering Barcelona Supercomputing Center Spain Center for Turbulence Research Stanford University USA Dpt. of Heat Engines Universitat Politecnica de Catalunya Spain

We investigate the aerodynamic performance of active flow control of airfoils and wings using synthetic jets with zero net-mass flow. The study is conducted via wall-resolved and wall-modeled large-eddy simulation using two independent CFD solvers: Alya, a finite-element-based solver; and charLES, a finite-volume-based solver. Our approach is first validated in a NACA4412, for which numerical and experimental results are already available in the literature. The performance of synthetic jets is evaluated for two flow configurations: a SD7003 airfoil at moderate Reynolds number with laminar separation bubble, which is representative of Micro Air Vehicles, and the high-lift configuration of the JAXA Standard Model at realistic Reynolds numbers for landing. In both cases, our predictions indicate that, at high angles of attack, the control successfully eliminates the laminar/turbulent recirculations located downstream the actuator, which increases the aerodynamic performance. Our efforts illustrate the technology-readiness of large-eddy simulation in the design of control strategies for real-world external aerodynamic applications.

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An Individual Patient Outcome Tool for Joint Replacement Patients

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Studies in Health Technology and Informatics 2018年 251卷 129-132页

作者： Ellison, Peter Høl, Paul John Babic, Ankica Haukeland University Hospital Dpt. of Orthopaedic Surgery Bergen Norway Department of Clinical Medicine University of Bergen Norway Department of Information Science and Media Studies University of Bergen Norway Department of Biomedical Engineering Linköping University Sweden

ISBN: (纸本)9781614998792

Patient specific forecasting tools are an area of active research and very much seen as a necessary tool for future improvements in healthcare. In order to succeed with decision making tools, fine-grained data are required to build models relevant and valid at an individual level. Location and assemble of data to build such tools is not trivial. Even then the ability to perform accurate predictions is not guaranteed. This study outlines a method to integrate existing data sources to base predictions on. A key benefit of the method is the minimal extra burden on the patient and the healthcare system. A pilot study is performed to implement the system architecture on data from total knee arthroplasty. Output from the system is presented using web technologies. In doing so, the viability of the method to implement a tool for the prediction of pre-operative and post-operative follow-up is demonstrated. Future steps will include testing and deployment of the system. © 2018 The authors and IOS Press. All rights reserved.

关键词： Decision making

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

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

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

A mixture of experts model for predicting persistent weather patterns

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arXiv 2019年

作者： Pérez-Ortiz, M. Gutiérrez, P.A. Tino, P. Casanova-Mateo, C. Salcedo-Sanz, S. Computer Laboratory University of Cambridge United Kingdom Dpt. of Computer Science and Numerical Analysis University of Córdoba Spain School of Computer Science University of Birmingham United Kingdom Department of Civil Engineering: Construction Infrastructure and Transport Universidad Politécnica de Madrid Madrid Spain Department of Signal Processing and Communications University of Alcalá Spain

Weather and atmospheric patterns are often persistent. The simplest weather forecasting method is the so-called persistence model, which assumes that the future state of a system will be similar (or equal) to the present state. Machine learning (ML) models are widely used in different weather forecasting applications, but they need to be compared to the persistence model to analyse whether they provide a competitive solution to the problem at hand. In this paper, we devise a new model for predicting low-visibility in airports using the concepts of mixture of experts. Visibility level is coded as two different ordered categorical variables: cloud height and runway visual height. The underlying system in this application is stagnant approximately in 90% of the cases, and standard ML models fail to improve on the performance of the persistence model. Because of this, instead of trying to simply beat the persistence model using ML, we use this persistence as a baseline and learn an ordinal neural network model that refines its results by focusing on learning weather fluctuations. The results show that the proposal outperforms persistence and other ordinal autoregressive models, especially for longer time horizon predictions and for the runway visual height variable. Copyright © 2019, The Authors. All rights reserved.

关键词： Weather forecasting

Analysis of Crystallization Processes on the Surface of Ge-Ga-Se Glasses for Electronics and IR Photonics

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Analysis of Crystallization Processes on the Surface of Ge-G...

IEEE International Conference on Electronics and Nanotechnology (ELNANO)

作者： Halyna Klym Ivan Karbovnyk Yuriy Kostiv Ivanna Vasylchyshyn Specialized Computer System Dpt. Lviv Polytechnic National University Lviv Ukraine Electronics and Computer Technologies Dpt. Ivan Franko National University of Lviv Lviv Ukraine Information Technology Security Dpt. Lviv Polytechnic National University Lviv Ukraine Theoretically and General Electrical Engineering Dpt. Lviv Polytechnic National University Lviv Ukraine

ISBN: (纸本)9781538663844

Surface crystallization processes in the 80GeSe 2 -20Ga 2 Se 3 chalcogenide glasses annealed at 380 °C for 25 h and 80 h were studied using atomic force microscopy method. It is shown that crystallites of GeSe 2 phase are formed in the crystallized glasses on the surface. Optimal conditions of crystallization process were selected for preparation of glasses for IR photonics and sensor electronics.

关键词： Glass Annealing Surface morphology Crystallization Surface treatment Chalcogenides Histograms