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Article ; Online: Designing a Low-Cost System to Monitor the Structural Behavior of Street Lighting Poles in Smart Cities.

Quattrocchi, Antonino / Martella, Francesco / Lukaj, Valeria / De Leo, Rocco / Villari, Massimo / Montanini, Roberto

2023 Volume 23, Issue 15

Abstract: The structural collapse of a street lighting pole represents an aspect that is often underestimated and unpredictable, but of relevant importance for the safety of people and things. These events are complex to evaluate since several sources of damage ... ...

Abstract	The structural collapse of a street lighting pole represents an aspect that is often underestimated and unpredictable, but of relevant importance for the safety of people and things. These events are complex to evaluate since several sources of damage are involved. In addition, traditional inspection methods are ineffective, do not correctly quantify the residual life of poles, and are inefficient, requiring enormous costs associated with the vastness of elements to be investigated. An advantageous alternative is to adopt a distributed type of Structural Health Monitoring (SHM) technique based on the Internet of Things (IoT). This paper proposes the design of a low-cost system, which is also easy to integrate in current infrastructures, for monitoring the structural behavior of street lighting poles in Smart Cities. At the same time, this device collects previous structural information and offers some secondary functionalities related to its application, such as meteorological information. Furthermore, this paper intends to lay the foundations for the development of a method that is able to avoid the collapse of the poles. Specifically, the implementation phase is described in the aspects concerning low-cost devices and sensors for data acquisition and transmission and the strategies of information technologies (ITs), such as Cloud/Edge approaches, for storing, processing and presenting the achieved measurements. Finally, an experimental evaluation of the metrological performance of the sensing features of this system is reported. The main results highlight that the employment of low-cost equipment and open-source software has a double implication. On one hand, they entail advantages such as limited costs and flexibility to accommodate the specific necessities of the interested user. On the other hand, the used sensors require an indispensable metrological evaluation of their performance due to encountered issues relating to calibration, reliability and uncertainty.
Language	English
Publishing date	2023-08-07
Publishing country	Switzerland
Document type	Journal Article
ZDB-ID	2052857-7
ISSN	1424-8220 ; 1424-8220
ISSN (online)	1424-8220
ISSN	1424-8220
DOI	10.3390/s23156993
Database	MEDical Literature Analysis and Retrieval System OnLINE

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Book: Achieving federated and self-manageable cloud infrastructures

Villari, Massimo

theory and practice

(Premier reference source)

2012

Abstract: This book presents an overview of current developments in cloud computing concepts, architectures, infrastructures and methods, focusing on the needs of small to medium enterprises"--Provided by ... ...

Author's details	Massimo Villari ... [eds.]
Series title	Premier reference source
Abstract	"This book presents an overview of current developments in cloud computing concepts, architectures, infrastructures and methods, focusing on the needs of small to medium enterprises"--Provided by publisher
Keywords	Cloud computing
Language	English
Size	XXV, 463 S., Ill., graph. Darst., 30 cm
Publisher	Business Science Reference
Publishing place	Hershey, Pa
Document type	Book
Note	Literaturverz. S. 418 - 444
ISBN	1466616318 ; 9781466616318 ; 9781466616325 ; 9781466616332 ; 1466616326 ; 1466616334
Database	Library catalogue of the German National Library of Science and Technology (TIB), Hannover

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Article ; Online: Deep learning applications in telerehabilitation speech therapy scenarios.

Mulfari, Davide / La Placa, Donatella / Rovito, Chiara / Celesti, Antonio / Villari, Massimo

Computers in biology and medicine

2022 Volume 148, Page(s) 105864

Abstract: Nowadays, many application scenarios benefit from automatic speech recognition (ASR) technology. Within the field of speech therapy, in some cases ASR is exploited in the treatment of dysarthria with the aim of supporting articulation output. However, in ...

Abstract	Nowadays, many application scenarios benefit from automatic speech recognition (ASR) technology. Within the field of speech therapy, in some cases ASR is exploited in the treatment of dysarthria with the aim of supporting articulation output. However, in presence of atypical speech, standard ASR approaches do not provide any reliable result in terms of voice recognition due to main issues, including: (i) the extreme intra and inter-speakers variability of the speech in presence of speech impairments, such as dysarthria; (ii) the absence of dedicated corpora containing voice samples from users with a speech disability to train a state-of-the-art speech model, particularly in non-English languages. In this paper, we focus on isolated word recognition for native Italian speakers with dysarthria and we exploit an existing mobile app to collect audio data from users with speech disorders while they perform articulation exercises for speech therapy purposes. With this data availability, a convolutional neural network has been trained to spot a small number of keywords within atypical speech, according to a speaker dependent method. Finally, we discuss the benefits of the trained ASR system in tailored telerehabilitation contexts intended for patients with dysarthria who can follow treatment plans under the supervision of remote speech language pathologists.
MeSH term(s)	Deep Learning ; Dysarthria ; Humans ; Speech Disorders ; Speech Recognition Software ; Speech Therapy ; Telerehabilitation
Language	English
Publishing date	2022-07-12
Publishing country	United States
Document type	Journal Article
ZDB-ID	127557-4
ISSN	1879-0534 ; 0010-4825
ISSN (online)	1879-0534
ISSN	0010-4825
DOI	10.1016/j.compbiomed.2022.105864
Database	MEDical Literature Analysis and Retrieval System OnLINE

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Article ; Online: Effects of Accelerated Aging on the Performance of Low-Cost Ultrasonic Sensors Used for Public Lighting and Mobility Management in Smart Cities.

Quattrocchi, Antonino / Alizzio, Damiano / Martella, Francesco / Lukaj, Valeria / Villari, Massimo / Montanini, Roberto

Sensors (Basel, Switzerland)

2022 Volume 22, Issue 4

Abstract: In the field of Smart Cities, especially for Smart Street Lighting and Smart Mobility, the use of low-cost devices is considered an advantageous solution due to their easy availability, cost reduction and, consequently, technological and methodological ... ...

Abstract	In the field of Smart Cities, especially for Smart Street Lighting and Smart Mobility, the use of low-cost devices is considered an advantageous solution due to their easy availability, cost reduction and, consequently, technological and methodological development. However, this type of transducers shows many critical issues, e.g., in metrological and reliability terms, which can significantly compromise their functionality and safety. Such issue has a large relevance when temperature and humidity are cause of a rapid aging of sensors. The aim of this work is to evaluate the effects of accelerated aging in extreme climatic conditions on the performance of a control system, based on a low-cost ultrasonic distance sensor, for public-lighting management in Smart Cities. The presented architecture allows for the detection of vehicles, pedestrians and small animals and contains a dedicated algorithm, developed in an Edge/Cloud environment, that is able to display the acquired measurements to users connected on the web. The obtained results highlight that the effect of accelerated aging is to significantly reduce the linearity of the calibration curve of the sensor and, moreover, to exponentially increase the number of outliers and invalid measurements. These limitations can be overcome by developing an appropriate self-calibration strategy.
MeSH term(s)	Aging ; Animals ; Cities ; Lighting ; Reproducibility of Results ; Ultrasonics
Language	English
Publishing date	2022-02-17
Publishing country	Switzerland
Document type	Journal Article
ZDB-ID	2052857-7
ISSN	1424-8220 ; 1424-8220
ISSN (online)	1424-8220
ISSN	1424-8220
DOI	10.3390/s22041560
Database	MEDical Literature Analysis and Retrieval System OnLINE

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Book ; Conference proceedings: Advances in service-oriented and cloud computing

Canal, Carlos / Villari, Massimo

workshops of ESOCC 2013, Málaga, Spain, September 11 - 13, 2013 ; revised selected papers

(Communications in computer and information science ; 393)

2013

Institution	ESOCC
Event/congress	CLIoT, Workshop: Cloud for IoT (2013.09.11-13, Málaga) ; CLOUSO, Workshop: Cloud storage optimization (2013.09.11-13, Málaga) ; ESOCC, European Conference on Service-Oriented and Cloud Computing (2013.09.11-13, Málaga) ; International Workshop on Adaptive Services for the Future Internet, WAS4FI (3, 2013.09.11-13, Málaga) ; International Workshop on Foundations of Coordination Languages and Self-Adaptive Systems, FOCLASA (12, 2013.09.11-13, Málaga) ; Workshop on Mobile Cloud and Social Perspectives, MoCSoP (1, 2013.09.11-13, Málaga)
Author's details	Carlos Canal; Massimo Villari (ed.)
Series title	Communications in computer and information science ; 393
Keywords	Serviceorientierte Architektur ; Cloud Computing
Language	English
Size	XXXIII, 372 S, Ill., graph. Darst, 24 cm, 615 g
Publisher	Springer
Publishing place	Heidelberg u.a.
Document type	Book ; Conference proceedings
Note	Literaturangaben
ISBN	3642453635 ; 9783642453632 ; 9783642453649 ; 3642453643
Database	Library catalogue of the German National Library of Science and Technology (TIB), Hannover

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Article ; Online: Why Deep Learning Is Changing the Way to Approach NGS Data Processing: A Review.

Celesti, Fabrizio / Celesti, Antonio / Wan, Jiafu / Villari, Massimo

IEEE reviews in biomedical engineering

2018 Volume 11, Page(s) 68–76

Abstract: Nowadays, big data analytics in genomics is an emerging research topic. In fact, the large amount of genomics data originated by emerging next-generation sequencing (NGS) techniques requires more and more fast and sophisticated algorithms. In this ... ...

Abstract	Nowadays, big data analytics in genomics is an emerging research topic. In fact, the large amount of genomics data originated by emerging next-generation sequencing (NGS) techniques requires more and more fast and sophisticated algorithms. In this context, deep learning is re-emerging as a possible approach to speed up the DNA sequencing process. In this review, we specifically discuss such a trend. In particular, starting from an analysis of the interest of the Internet community in both NGS and deep learning, we present a taxonomic analysis highlighting the major software solutions based on deep learning algorithms available for each specific NGS application field. We discuss future challenges in the perspective of cloud computing services aimed at deep learning based solutions for NGS.
MeSH term(s)	Algorithms ; Animals ; Big Data ; Deep Learning/trends ; Genomics/trends ; High-Throughput Nucleotide Sequencing/trends ; Humans ; Internet ; Sequence Analysis, DNA/trends ; Software
Language	English
Publishing date	2018-04-12
Publishing country	United States
Document type	Journal Article ; Research Support, Non-U.S. Gov't ; Review
ISSN	1941-1189
ISSN (online)	1941-1189
DOI	10.1109/RBME.2018.2825987
Database	MEDical Literature Analysis and Retrieval System OnLINE

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Article ; Online: Recent Considerations on Gaming Console Based Training for Multiple Sclerosis Rehabilitation.

Celesti, Antonio / Cimino, Vincenzo / Naro, Antonino / Portaro, Simona / Fazio, Maria / Villari, Massimo / Calabró, Rocco Salvatore

Medical sciences (Basel, Switzerland)

2022 Volume 10, Issue 1

Abstract: Multiple Sclerosis (MS) is a well-known, chronic demyelinating disease of the Central Nervous System (CNS) and one of the most common causes of disability in young adults. In this context, one of the major challenges in patients' rehabilitation is to ... ...

Abstract	Multiple Sclerosis (MS) is a well-known, chronic demyelinating disease of the Central Nervous System (CNS) and one of the most common causes of disability in young adults. In this context, one of the major challenges in patients' rehabilitation is to maintain the gained motor abilities in terms of functional independence. This could be partially obtained by applying new emerging and cutting-edge virtual/augmented reality and serious game technologies for a playful, noninvasive treatment that was demonstrated to be quite efficient and effective in enhancing the clinical status of patients and their (re)integration into society. Recently, Cloud computing and Internet of Things (IoT) emerged as technologies that can potentially revolutionize patients' care. To achieve such a goal, a system that on one hand gathers patients' clinical parameters through a network of medical IoT devices equipped with sensors and that, on the other hand, sends the collected data to a hospital Cloud for processing and analytics is required. In this paper, we assess the effectiveness of a Nintendo Wii Fit
MeSH term(s)	Humans ; Multiple Sclerosis/therapy ; Pilot Projects ; Postural Balance/physiology ; Quality of Life ; Video Games ; Young Adult
Language	English
Publishing date	2022-02-11
Publishing country	Switzerland
Document type	Journal Article ; Research Support, Non-U.S. Gov't
ZDB-ID	2754473-4
ISSN	2076-3271 ; 2076-3271
ISSN (online)	2076-3271
ISSN	2076-3271
DOI	10.3390/medsci10010013
Database	MEDical Literature Analysis and Retrieval System OnLINE

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Article ; Online: Blockchain-Based Healthcare Workflow for Tele-Medical Laboratory in Federated Hospital IoT Clouds.

Celesti, Antonio / Ruggeri, Armando / Fazio, Maria / Galletta, Antonino / Villari, Massimo / Romano, Agata

Sensors (Basel, Switzerland)

2020 Volume 20, Issue 9

Abstract: In a pandemic situation such as that we are living at the time of writing of this paper due to the Covid-19 virus, the need of tele-healthcare service becomes dramatically fundamental to reduce the movement of patients, thence reducing the risk of ... ...

Abstract	In a pandemic situation such as that we are living at the time of writing of this paper due to the Covid-19 virus, the need of tele-healthcare service becomes dramatically fundamental to reduce the movement of patients, thence reducing the risk of infection. Leveraging the recent Cloud computing and Internet of Things (IoT) technologies, this paper aims at proposing a tele-medical laboratory service where clinical exams are performed on patients directly in a hospital by technicians through IoT medical devices and results are automatically sent via the hospital Cloud to doctors of federated hospitals for validation and/or consultation. In particular, we discuss a distributed scenario where nurses, technicians and medical doctors belonging to different hospitals cooperate through their federated hospital Clouds to form a virtual health team able to carry out a healthcare workflow in secure fashion leveraging the intrinsic security features of the Blockchain technology. In particular, both public and hybrid Blockchain scenarios are discussed and assessed using the Ethereum platform.
MeSH term(s)	Betacoronavirus ; Blockchain ; COVID-19 ; Cloud Computing ; Computer Security ; Coronavirus Infections/prevention & control ; Coronavirus Infections/transmission ; Humans ; Pandemics/prevention & control ; Pneumonia, Viral/prevention & control ; Pneumonia, Viral/transmission ; SARS-CoV-2 ; Telemedicine/methods ; Telemedicine/organization & administration
Keywords	covid19
Language	English
Publishing date	2020-05-02
Publishing country	Switzerland
Document type	Journal Article
ZDB-ID	2052857-7
ISSN	1424-8220 ; 1424-8220
ISSN (online)	1424-8220
ISSN	1424-8220
DOI	10.3390/s20092590
Database	MEDical Literature Analysis and Retrieval System OnLINE

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Article ; Online: Enabling Secure XMPP Communications in Federated IoT Clouds Through XEP 0027 and SAML/SASL SSO.

Celesti, Antonio / Fazio, Maria / Villari, Massimo

Sensors (Basel, Switzerland)

2017 Volume 17, Issue 2

Abstract: Nowadays, in the panorama of Internet of Things (IoT), finding a right compromise between interactivity and security is not trivial at all. Currently, most of pervasive communication technologies are designed to work locally. As a consequence, the ... ...

Abstract	Nowadays, in the panorama of Internet of Things (IoT), finding a right compromise between interactivity and security is not trivial at all. Currently, most of pervasive communication technologies are designed to work locally. As a consequence, the development of large-scale Internet services and applications is not so easy for IoT Cloud providers. The main issue is that both IoT architectures and services have started as simple but they are becoming more and more complex. Consequently, the web service technology is often inappropriate. Recently, many operators in both academia and industry fields are considering the possibility to adopt the eXtensible Messaging and Presence Protocol (XMPP) for the implementation of IoT Cloud communication systems. In fact, XMPP offers many advantages in term of real-time capabilities, efficient data distribution, service discovery and inter-domain communication compared to other technologies. Nevertheless, the protocol lacks of native security, data confidentiality and trustworthy federation features. In this paper, considering an XMPP-based IoT Cloud architectural model, we discuss how can be possible to enforce message signing/encryption and Single-Sign On (SSO) authentication respectively for secure inter-module and inter-domain communications in a federated environment. Experiments prove that security mechanisms introduce an acceptable overhead, considering the obvious advantages achieved in terms of data trustiness and privacy.
Language	English
Publishing date	2017-02-07
Publishing country	Switzerland
Document type	Journal Article
ZDB-ID	2052857-7
ISSN	1424-8220 ; 1424-8220
ISSN (online)	1424-8220
ISSN	1424-8220
DOI	10.3390/s17020301
Database	MEDical Literature Analysis and Retrieval System OnLINE

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Book ; Conference proceedings ; Online: Service-oriented and cloud computing

Lau, Kung-Kiu / Villari, Massimo / Zimmermann, Wolf

third European conference, ESOCC 2014, Manchester, UK, September 2 - 4, 2014 ; proceedings

(Lecture notes in computer science ; 8745)

2014

Abstract: This book constitutes the refereed proceedings of the Third European Conference on Service-Oriented and Cloud computing, ESOCC 2014, held in Manchester, UK, in September 2014. The 13 papers presented were carefully reviewed and selected from 38 ... ...

Institution	ESOCC
Event/congress	ESOCC (3, 2014.09.02-04, Manchester) ; European Conference on Service-Oriented and Cloud Computing (3, 2014.09.02-04, Manchester)
Author's details	Massimo Villari; Wolf Zimmermann; Kung-Kiu Lau (eds.)
Series title	Lecture notes in computer science ; 8745
Abstract	This book constitutes the refereed proceedings of the Third European Conference on Service-Oriented and Cloud computing, ESOCC 2014, held in Manchester, UK, in September 2014. The 13 papers presented were carefully reviewed and selected from 38 submissions. The papers are organized in topical sections on cloud technology, service composition, software development and cloud technology, cloud computing, industry track
Keywords	Computer science ; Data protection ; Database management ; Information Systems ; Information storage and retrieval systems ; Management information systems ; Software engineering
Language	English
Size	Online-Ressource (XII, 186 S.)
Publisher	Springer
Publishing place	Heidelberg u.a.
Document type	Book ; Conference proceedings ; Online
Note	Literaturangaben
ISBN	3662448785 ; 9783662448786 ; 9783662448793 ; 3662448793
DOI	10.1007/978-3-662-44879-3
Database	Former special subject collection: coastal and deep sea fishing

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