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2010 IEEE Sensor Array and Multichannel Signal Processing Workshop, SAM 2010

作者： Puig, Arnau Tibau Wiesel, Ami Zaas, Aimee Ginsburg, Geoffrey S. Fleury, Gilles Hero III, Alfred O. Dpt. of Electrical Engineering University of Michigan United States E3S - SUPELEC Systems Sciences Signal Processing and Electronic Systems Department Supélec France School of Computer Science and Engineering Hebrew University of Jerusalem Israel Institute for Genome Sciences and Policy Duke University United States Division of Infectious Diseases and International Health Dpt. of Medicine Duke University School of Medicine United States

ISBN: (纸本)9781424489770

We present a factor analysis method that accounts for possible temporal misalignment of the factor loadings across the population of samples. Our main hypothesis is that the data contains a subset of variables with similar but delayed profiles obeying a consistent precedence ordering relationship. Our model is motivated by the difficulty of gene expression analysis across subjects who have common patterns of immune response but show different onset times after a uniform innoculation time of a viral pathogen. The proposed method is based on a linear model with additional degrees of freedom that account for each subject's inherent delays. We present an algorithm to fit this model in a totally unsupervised manner and demonstrate its effectiveness on extracting gene expression factors affecting host response using a flu-virus human challenge study dataset. © 2010 IEEE.

关键词： Gene expression

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Ageing does not affect the dynamic balance margins of gait

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Gait & Posture 2021年 90卷 248-249页

作者： Sloot, L. Millard, M. Mombaur, K. Hallemans, A. van Criekinge, T. Heidelberg University Institute of Computer Engineering ZITI Heidelberg Germany University of Waterloo Dpt of Systems Design Engineering & Dpt of Mechanical and Mechatronics Engineering Waterloo Canada University of Antwerp Dpt of Rehabilitation Sciences and Physiotherapy- Faculty of Medicine and Health Science Antwerp Belgium KU Leuven Dpt of Rehabilitation Sciences and Physiotherapy Brugge Belgium

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A novel W-band radar for airport traffic monitoring: implementation, first operational results, perspectives

A novel W-band radar for airport traffic monitoring: impleme...

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International Kharkov Symposium on Physics and engineering of Microwaves, Millimeter, and Submillimeter Waves

作者： F. Mauro G. Galati M. Naldi Oerlikon Contraves Rome Italy Dpt. of Computer Science SYstems and Production Engineering (DISP) Roma Italy Department of Computer Science Systems and Production Engineering (DISP) Tor Vergate University Rome Italy

High resolution requirements for airport surface traffic monitoring with lightweight, small, all-weather sensors call for the use of a network of millimetre-wave radars to perform the surveillance function in the surface movement control and guidance system. In this paper a W-band radar employed as the basic sensor is described. Some results of recent and present field trials are reported.

关键词： Radar Airports Monitoring Communication system traffic control Air traffic control Sensor systems Surveillance Lighting control Control systems Sensor phenomena and characterization

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DPPL Hallway Tracker: Hospital Contact Tracing During the COVID-19 Pandemic 9

DPPL Hallway Tracker: Hospital Contact Tracing During the CO...

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9th Scholar's Yearly Symposium of Technology, engineering and Mathematics, SYSTEM 2023

作者： Marinoni, Christian Ponzi, Valerio Comminiello, Danilo Dpt. of Information Engineering Electronics and Telecommunications Sapienza University of Rome Via Eudossiana 18 Roma00184 Italy Department of Computer Control and Management Engineering Sapienza University of Rome Via Ariosto 25 Roma00185 Italy Institute for Systems Analysis and Computer Science Italian National Research Council Via dei Taurini 19 Roma00185 Italy

During the COVID-19 pandemic, the use of a people tracking system could have been crucial, particularly in sensitive environments, such as hospitals. DPPL Hallway Tracker is a framework that uses security camera footage to determine which rooms in a corridor a person has entered. It generates a database containing all the people identified and allows quick identification of potential cases of infection based on the time spent in a room and its maximum capacity. DPPL Hallway Tracker is structured in two phases: detection and re-identification. In the first phase, it exploits Mask RCNN to identify people and room doors. In the second one, it uses the deep association metric model from DeepSORT to re-identify a person as he leaves a room. © 2023 Copyright for this paper by its authors.

关键词： COVID-19

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

arXiv

引用

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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On partitioning-based optimisations in expressive fuzzy Description Logics

On partitioning-based optimisations in expressive fuzzy Desc...

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IEEE International Conference on Fuzzy systems (FUZZ-IEEE)

作者： Fernando Bobillo Umberto Straccia Dpt. of Computer Science and Systems Engineering University of Zaragoza Spain ISTI-CNR Istituto di Scienza e Tecnologie dell' Informazione Pisa Italy

Fuzzy Description Logics (DLs) are a formalism for the representation of structured knowledge affected by imprecision or vagueness. A key factor in the practical success of fuzzy DLs is the availability of highly implemented reasoners. This paper studies two optimisation techniques (ABox partitioning based on individual groups and optimisation problem partitioning) in the setting of the fuzzy ontology reasoner fuzzy DL. We study the applicability of these techniques in expressive fuzzy DL languages, proposing a new strategy, and perform an empirical evaluation proving that they are not helpful in practice so far.

关键词： Optimization Semantics Cognition Fuzzy logic Description logic Standards

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Miniaturized multi-band stopband filter using circular split ring resonator and null gap separations between all parallel lines

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Progress In Electromagnetics Research C 2020年 106卷 137-150页

作者： Ahmed, Badiaa Ait Aghzout, Otman Naghar, Azzeddin Alejos, Ana V. Dpt. of Computer Science Engineering SIGL-Lab. ENSA University of Abdelmalek Essaadi Tétouan Morocco BSA-Innovation LAB Radio Frequency Systems RFS Lannion France Dpt. of Signal Theory and communications University of Vigo Pontevedra Spain

This paper presents a new multi-band stopband filter loaded by a shorted metamaterial circuit. Firstly, two filters loaded by stubs and open ring resonators (ORRs) are studied and compared. The ORRs allow more effects in terms of miniaturization by a shifting toward low frequencies and rejection bandwidth (57.34%). To improve the filter efficiency, coupled split ring resonators (SRRs) are used. The final filter is characterized by a miniaturized size of 18.840 mm2, wide rejection bandwidth, high selectivity level, and multiple resonances over S, C, X, and Ku bands. L-C equivalent circuit model filter and other characteristics are investigated. A prototype of the filter with coupled SRRs has been fabricated and measured. Good matching among EM-simulation, equivalent circuit modelling, and measured results are achieved. © 2020, Electromagnetics Academy. All rights reserved.

关键词： Circuit simulation

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Analysis and Detection of Melanoma through Collective Intelligence with AI

Analysis and Detection of Melanoma through Collective Intell...

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Annual IEEE Symposium on computer-Based Medical systems

作者： Enrique Fernández-Morales Carlos L. Sanchez-Bocanegra Rafael Pastor-Vargas José-Juan Pereyra-Rodriguez Juan M. Haut José Alberto Benítez-Andrades Communications and Control Systems Dpt. Computer Science Faculty UNED Madrid Spain Communications and Control Systems Dpt. Computer Science Faculty UNED Malaga Spain Virgen Del Rocio Hospital Universitario Seville Spain School of Tecnology University of Extremadura Cáceres Spain Dept. of Electric Systems and Automatics Engineering Universidad de León León Spain

ISBN: (数字)9798350384727

ISBN: (纸本)9798350384734

Cancer is a widespread global health problem, claiming millions of lives each year, and skin cancer represents a significant threat as it is one of the most common types. Early tumor detection via medical imaging is critical for effective treatment. Leveraging artificial intelligence, particularly novel models like Transformers, presents promising avenues for improved diagnosis. This paper explores the efficacy of a Collective Intelligence approach using AI in classifying cancerous and non-cancerous tumors, aiming to reduce classification errors and support clinical decision-making. We created five different configurations using various datasets to compare the results. The results show solid performance for the CI in the evaluated tasks, reaching up to 75.89% accuracy. The lack of images in certain classes significantly contributes to overfitting. It is suggested to explore data expansion strategies and improve consistency in image capture for future work.

关键词： Accuracy Melanoma Collective intelligence Image capture Transformers Solids Artificial intelligence

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Recognition of food-texture attributes using an in-ear microphone

arXiv

引用

arXiv 2021年

作者： Mars, Monica Diou, Christos Papapanagiotou, Vasileios van den Boer, Janet Delopoulos, Anastasios Multimedia Understanding Group Dpt. Electrical and Computer Engineering Faculty of Engineering Aristotle University of Thessaloniki Greece Department of Informatics and Telematics Harokopio University of Athens Greece Dpt. of Biomedical Signals and Systems Faculty of Electrical Engineering Mathematics and Computer Science University of Twente Netherlands Division of Human Nutrition and Health Wageningen University Netherlands

Food texture is a complex property;various sensory attributes such as perceived crispiness and wetness have been identified as ways to quantify it. Objective and automatic recognition of these attributes has applications in multiple fields, including health sciences and food engineering. In this work we use an in-ear microphone, commonly used for chewing detection, and propose algorithms for recognizing three food-texture attributes, specifically crispiness, wetness (moisture), and chewiness. We use binary SVMs, one for each attribute, and propose two algorithms: one that recognizes each texture attribute at the chew level and one at the chewing-bout level. We evaluate the proposed algorithms using leave-one-subject-out cross-validation on a dataset with 9 subjects. We also evaluate them using leave-one-food-type-out cross-validation, in order to examine the generalization of our approach to new, unknown food types. Our approach performs very well in recognizing crispiness (0.95 weighted accuracy on new subjects and 0.93 on new food types) and demonstrates promising results for objective and automatic recognition of wetness and chewiness. Copyright © 2021, The Authors. All rights reserved.

关键词： Wearable technology

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