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Francesco Picariello

Bio: Francesco Picariello is an academic researcher from University of Sannio. The author has contributed to research in topics: Compressed sensing & Jitter. The author has an hindex of 12, co-authored 70 publications receiving 554 citations.

Papers published on a yearly basis

Papers
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Journal ArticleDOI
TL;DR: The aims of the paper are to highlight the role of measurements in an AR system and the AR as support to the measurements, and a survey of applications using the augmented reality as user interface of measurement system.

84 citations

Journal ArticleDOI
01 May 2019
TL;DR: A survey on techniques, applied to precision agriculture monitoring, through the use of drones equipped with multispectral, thermal and visible cameras, for each application is proposed.
Abstract: In recent years, there has been a strong activity in the so-called precision agriculture, particularly the monitoring aspect, not only to improve productivity, but also to meet demand of a growing population. At a large scale, precise monitoring of cultivated fields is a quite challenging task. Therefore, this paper aims to propose a survey on techniques, applied to precision agriculture monitoring, through the use of drones equipped with multispectral, thermal and visible cameras. For each application, the main limitations are highlighted and the parameters to be considered before to perform a flight are reported.

76 citations

Journal ArticleDOI
TL;DR: A survey of measurement applications based on smartphones is presented in this article, where the authors highlight the sensors and the communication capabilities of smartphones and present a classification of smartphone applications, which look the smartphone as a handheld measurement instrument.

67 citations

Proceedings ArticleDOI
04 Jun 2015
TL;DR: A survey of measurement applications based on UAV and a review of civilian applications using the drone as remote measurement system is presented and discussed.
Abstract: The application fields of modern Unmanned Aerial Vehicles (UAV), such as light Remotely Piloted Systems, are moving from military fields to a wide range of civilian applications These platforms embed several sensors that enable the use of UAVs as remote measurement systems This paper deals with a survey of measurement applications based on UAV In the first part, several classifications of UAVs are reported Then, the architectural overview of a quadrotor UAV and several examples of measurement systems embedded on drone for indoor and outdoor navigation are described In the last part, a review of civilian applications using the drone as remote measurement system is presented and discussed

52 citations

Proceedings ArticleDOI
26 Jun 2019
TL;DR: The aim of this paper is stimulating the research to fulfil this lack of traceability and reliability of the BP measurements by presenting an overview for IoMT and commercial wearables in BP monitoring, from a metrological point of view.
Abstract: The increasing pervasiveness of wearable sensors opens new scenarios in the continuous monitoring of health parameters. In particular, wearables are becoming the sensing part of the Internet of Medical Things (IoMT), i.e. IoT in the healthcare field. Currently, several IoMT based devices capable of measuring blood pressure (BP) are starting to be offered on the market, giving the possibility to monitor BP every time and everywhere. An open issue is the lack of the traceability and reliability of the BP measurements. The aim of this paper is stimulating the research to fulfil this lack by presenting an overview for IoMT and commercial wearables in BP monitoring, from a metrological point of view.

38 citations


Cited by
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Journal ArticleDOI
TL;DR: The overall perception and acceptance toward such interactive technologies are discussed in this paper and the relative importance of hedonic and utilitarian aspects varies for different kinds of AR apps and has to be considered for improvement to occur.

241 citations

Journal ArticleDOI
TL;DR: This review focuses on recent advances on smartphone based sensing and diagnosis applications in fields such as telemedicine, biotechnology, chemical sciences and environmental sciences.

215 citations

Journal ArticleDOI
20 Jun 2017-Sensors
TL;DR: This paper reviews the recent advancements and developments in the field of smartphone-based food diagnostic technologies, with an emphasis on custom modules to enhance smartphone sensing capabilities, and provides a systematic classification according to the detection strategy, providing a critical discussion of strengths and weaknesses.
Abstract: A new generation of mobile sensing approaches offers significant advantages over traditional platforms in terms of test speed, control, low cost, ease-of-operation, and data management, and requires minimal equipment and user involvement. The marriage of novel sensing technologies with cellphones enables the development of powerful lab-on-smartphone platforms for many important applications including medical diagnosis, environmental monitoring, and food safety analysis. This paper reviews the recent advancements and developments in the field of smartphone-based food diagnostic technologies, with an emphasis on custom modules to enhance smartphone sensing capabilities. These devices typically comprise multiple components such as detectors, sample processors, disposable chips, batteries and software, which are integrated with a commercial smartphone. One of the most important aspects of developing these systems is the integration of these components onto a compact and lightweight platform that requires minimal power. To date, researchers have demonstrated several promising approaches employing various sensing techniques and device configurations. We aim to provide a systematic classification according to the detection strategy, providing a critical discussion of strengths and weaknesses. We have also extended the analysis to the food scanning devices that are increasingly populating the Internet of Things (IoT) market, demonstrating how this field is indeed promising, as the research outputs are quickly capitalized on new start-up companies.

200 citations

Journal ArticleDOI
TL;DR: This survey aims to pinpoint the most fundamental and important design challenges of multi-UAV systems for CPS applications, highlighting key and versatile aspects that span the coverage and tracking of targets and infrastructure objects, energy-efficient navigation, and image analysis using machine learning for fine-grained CPS applications.
Abstract: Unmanned aerial vehicles (UAVs) have recently rapidly grown to facilitate a wide range of innovative applications that can fundamentally change the way cyber-physical systems (CPSs) are designed. CPSs are a modern generation of systems with synergic cooperation between computational and physical potentials that can interact with humans through several new mechanisms. The main advantages of using UAVs in CPS application is their exceptional features, including their mobility, dynamism, effortless deployment, adaptive altitude, agility, adjustability, and effective appraisal of real-world functions anytime and anywhere. Furthermore, from the technology perspective, UAVs are predicted to be a vital element of the development of advanced CPSs. Therefore, in this survey, we aim to pinpoint the most fundamental and important design challenges of multi-UAV systems for CPS applications. We highlight key and versatile aspects that span the coverage and tracking of targets and infrastructure objects, energy-efficient navigation, and image analysis using machine learning for fine-grained CPS applications. Key prototypes and testbeds are also investigated to show how these practical technologies can facilitate CPS applications. We present and propose state-of-the-art algorithms to address design challenges with both quantitative and qualitative methods and map these challenges with important CPS applications to draw insightful conclusions on the challenges of each application. Finally, we summarize potential new directions and ideas that could shape future research in these areas.

167 citations

Journal ArticleDOI
TL;DR: Although Cellular IoT has many advantages and can bring enormous applications to IoT wearables, it has been rarely studied by the researchers and the opportunities and challenges related to implementing CIoT-enabled wearables are addressed.
Abstract: Smart wearables collect and analyze data, and in some scenarios make a smart decision and provide a response to the user and are finding more and more applications in our daily life. In this paper, we comprehensively survey the most recent and important research works conducted in the area of wearable Internet of Things (IoT) and classify the wearables into four major clusters: (i) health, (ii) sports and daily activity, (iii) tracking and localization, and (iv) safety. The fundamental differences of the algorithms associated within each cluster are grouped and analyzed and the research challenges and open issues in each cluster are discussed. This survey reveals that although Cellular IoT (CIoT) has many advantages and can bring enormous applications to IoT wearables, it has been rarely studied by the researchers. This article also addresses the opportunities and challenges related to implementing CIoT-enabled wearables.

160 citations