Andrea Sciarrone

University of Genoa | UNIGE · Dipartimento di Ingegneria Navale, Elettrica, Elettronica e delle Telecomunicazioni (DITEN)

Structural Health Monitoring (SHM) is a process aimed at studying variations in the expected behavior of a structure in order to locate damage, material deterioration and other abnormalities. To this aim, SHM is usually performed continuously, thus generating large amounts of data, often by employing wired, expensive and proprietary systems. Introd...

Object recognition is a quite critical task that involves the identification and potential localization of a target inside a monitored area. Target detection usually relies on material, shape and size identification in order to infer higher level information, and it can be employed in many different frameworks and applications. In this connection,...

This paper explores the complex dynamics of Wi-Fi probe request frames, focusing on their transmission behaviors and the implications for user privacy. As mobile devices become increasingly sophisticated, their capacity for wireless communication presents both opportunities for enhanced connectivity and privacy-related challenges. This study examin...

Despite recent advancements, Multi-Object Tracking (MOT) remains a difficult task, particularly when dealing with drone videos. A variety of challenges, such as data association, varying levels of occlusion, camera motion, and missing detection, affect the effectiveness of MOT tasks. Data association in tracking-by-detection approaches plays a crit...

Drone deployment has become crucial in a variety of applications, including solutions to traffic issues in metropolitan areas and highways. On the other hand, data collected via drones suffers from several problems, including a wide range of object scales, angle variations, truncation, and occlusion. To process and manipulate visual data from the d...

In the latest years great importance and research efforts have been put into safety and security aspects concerning the vehicular framework. In this connection, maritime surveillance is playing an important role, since situation awareness proves fundamental to ensure safety conditions at sea. In this work, we propose a novel maritime surveillance s...

Alongside many traditional as well as novel applications, in the latest years drones have been widely adopted as remote sensing platforms for road traffic monitoring in urban areas and on highways. The problem of traffic monitoring on Region of Interest (RoI) based on drone imagery is a challenging task, especially when the surveillance drone is co...

From smart cities development perspective, road vehicle detection exploiting drone-based aerial imagery are a crucial part of traffic surveillance and monitoring systems where effective results are of utmost demand. A recent boom in the field of Deep Learning (DL) has provided remarkable development in the problem of vehicle detection. Aerial views...

Vision Meets Drone: Multiple Object Tracking (VisDrone-MOT2021) challenge-the forth annual activity organized by the VisDrone team-focuses on benchmarking UAV MOT algorithms in realistic challenging environments. It is held in conjunction with ICCV 2021. VisDrone-MOT2021 contains 96 video sequences in total, including 56 sequences (∼24K frames) for...

According to data traffic forecast reported in Cisco (2018), the volume of data transported by Internet in 2021 will exceed the threshold of 3.0 ZB per year, generated by roughly 30 billions of devices. SATCOM’s capability to bring Internet connectivity in parts of the world that until few years ago was impossible to reach (e.g., in the middle of t...

The Internet of Things (IoT) framework is moving the research community to provide smart systems and solutions aimed at revolutionizing medical sciences and healthcare. Given the extreme diffusion of Alzheimer’s disease (AD) and Parkinson’s disease (PD), the demand for a solution to early detect neurological symptoms of such diseases strongly arose...

The employment of digital technologies and new paradigms are opening the doors to innovative prospects for the future of eHealth worldwide. Traditional Information and Communications Technologies (ICT) are evolving into molecular communications, and artificially created boundaries between medicine and ICT will be removed in order to take advantage...

Remotely piloted vehicles have become more and more popular in recent years due to their increased availability on the market. In general, drones can represent a threat for public safety due to their potential misuse. This motivation gives rise to the need of devising specific methods and techniques to monitor sensitive areas, in order to deploy ef...

The leading trends in the framework of the Internet of Things are driving the research community to provide smart systems and solutions aimed at revolutionizing medical sciences and healthcare. One of the major opportunities offered by IoT lies in the ubiquitous connectivity, thus enabling smart services such as remote patient monitoring, in-home t...

Place recognition and user positioning methods are becoming trending topics among the research community thanks to the need of providing cutting-edge solutions to enable innovative and efficient Location-Based Services (LBS) and applications. However, the mobile framework suffers from typical constraints on energy and computational capabilities due...

This article describes a microwave tomographic approach for the quantitative imaging of brain stroke inside the human head. For the acquisition of the scattered-field information, a prototype of multistatic system is adopted. An array of custom antennas is placed in contact with the head, and a switching matrix is used to measure the scattering par...

In recent years, the emerging framework of the Internet of Things has been leading the technological landscape in a number of different fields and applications, from autonomous and connected vehicles to wearable devices. The healthcare system is benefiting from this continuously evolving environment since it leverages the opportunities offered by t...

The telecommunication infrastructure in emergency scenarios is necessarily composed of heterogeneous radio/mobile portions. Mobile Nodes (MNs) equipped with multiple network interfaces can assure continuous communications when different Radio Access Networks (RANs) that employ different Radio Access Technologies (RATs) are available. In this contex...

The growing interest in concepts such as smart cities and smart mobility is giving more and more importance to place of interest (POI) information, which proves to be crucial in providing efficient and tailored location-based services (LBSs). Though plenty of solutions exist for recognizing indoor places, the literature lacks of approaches aimed at...

The great availability of commercial drones has raised growing interest among people, since remotely piloted vehicles can be employed in numerous applications. The pervasive use of these devices has created many privacy and safety concerns, that need to be addressed by means of proper surveillance systems able to cope with such threats. In this pap...

A conjugate-gradient-based regularization technique in L <sup xmlns:mml="http://www.w3.org/1998/Math/MathML" xmlns:xlink="http://www.w3.org/1999/xlink">p</sup> Banach spaces, in conjunction with an inexact-Newton solving scheme, is presented in this paper. The proposed method is applied to obtain the reconstruction of the dielectric properties of h...

The importance of robust audio speech processing has rapidly increased in the latest years, as the number of smart and connected devices is growing. This effect is strongly related to the Internet of Things framework, introducing concepts such as connected vehicles and future smart cities. Context-aware applications are fundamental in this evolving...

Nowadays Internet of Things (IoT) devices can collect a large amount of data and infer the context they are operating in. One of the most pervasive IoT device is the smartphone. Among the plethora of sensors that such device has, microphone is probably the most versatile. It can be used to infer information about the context by acquiring the enviro...

Mobile Satellite Services (MSSs) are extremely important when continuity of service is requested while the user is moving over a wide area. A notable example is represented by live TV services, or more in general by Multimedia Broadcast Multicast Services (MBMSs) and its evolved version eMBMS. In this work, we present the combined use of multicast...

This article surveys the concept of Industry 4.0 (I4.0), which has become more and more pervasive in recent years thanks to the great effort that factories, researchers, and organizations are putting into its definition and development. We present the IoT as the key I4.0 technology since it enables faster and more efficient production and managemen...

In this paper, a numerical study devoted to evaluate the application of a microwave imaging method for brain stroke detection is described. First of all, suitable operating conditions for the imaging system are defined by solving the forward electromagnetic scattering problem with respect to simplified configurations and analyzing the interactions...

Amateur drones are enjoying great popularity in recent years due to the wide commercial diffusion of small, rather low-cost devices. More and more user-friendly, easy-to-pilot aerial and terrestrial drones are available off the shelf, and people can even remotely pilot them using their smartphones. This situation brings up the problem of keeping un...

The diffusion of Device-to-Device (D2D) communications opens the door to exploit the contributions of multiple Mobile Devices (MDs) to accomplish collaborative tasks. In this paper a speaker recognition algorithm for MDs based on a multiple-observations approach is presented. We propose various fusion and clustering algorithms aimed at efficiently...

In the Internet of Things (IoT) era with the wide employment of Mobile Devices (MDs), the distribution of video streams is continuously increasing and specific solutions for transmissions between mobiles are needed. In this paper, we provide the performance comparison, through emulations, among Application Layer Joint Coding approaches for videos o...

Rehabilitation and elderly monitoring for active ageing can benefit from Internet of Things (IoT) capabilities in particular for in-home treatments. In this paper we consider two functions useful for such treatments: Activity Recognition (AR) and Movement Recognition (MR). The former is aimed at detecting if a patient is idle, still, walking, runni...

Indoor navigation and localization are becoming fundamental services nowadays. WiFi-based solutions such as FingerPrinting (FP) are the most widely adopted techniques for positioning and provide better results if compared to other approaches. It requires to compare WiFi Received Signal Strength (RSS) with an pre-computed radio map called fingerprin...

Different positioning schemes are based on the probability to have an observation vector at a Reference Point (RP) , based on Gaussian probabilities. This paper presents an approach to speed-up the computation without any approximation. The consequent positioning scheme is called Smart P-FP. The comparison between Traditional (without any accelerat...

The paper describes an original architecture aimed at tracking assets within construction sites. The main components are Radio Frequency IDentification (RFID), Bluetooth Low Energy (BLE) tags and smartphones. The core functions are performed by two Android applications, which implement asset tracking and searching. The main merits of the architectu...

The exponential increase in the number and types of mobile devices, along with their ever‐growing sets of capabilities, have enabled the development of new architectures that aim to harness such heterogeneity. Transient clouds are examples of mobile clouds, which are created on‐the‐fly by the devices present in an environment to share their physica...

In this paper, an Android SPEech proCessing plaTform as smaRtphone Application (SPECTRA) is presented. Such application, developed by the authors, has three main functions: i) Gender Recognition (GR), ii) Speaker Recognition (SR) and iii) Language Recognition (LR). All these recognition functions are performed simultaneously by using unsupervised S...

The paper describes an original architecture aimed at tracking assets within construction sites or similar contexts. The main components are: i) RFID tags, ii) Bluetooth Low Energy (BLE) tags and iii) smartphones. The core functions of the architecture are performed by two Android applications: the Asset Proximity Locator (APL) and the Wandering Ob...

Recently, patients suffering from a set of physical and mental limitations, called co-morbidities, are often treated at home. In this environment, modern communication systems represent a great support to implement Ambient Assisted Living platforms aimed at monitoring patients at home because they enable the seamless integration of heterogeneous se...

Telemedicine applications provide healthcare services through communications technologies overcoming the geographical separation between patients and caregivers. These services can be provided via wireless devices, such as smartphones with dedicated applications. An interesting application concerns the so-called situation awareness algorithms and,...

In this paper a performance comparison of a probabilistic Gaussian-Kernel fingerprint-based indoor positioning method over different smartphones, is presented. The work aims at highlighting the positioning accuracy, the robustness and the consistency of the method by testing it over two different smartphone platforms (i.e., Nokia N95 and Samsung Ga...

Heart failure is a chronic disease that alternates intense and weak phases and requires repeated and frequent hospital treatments. The use of automatic instruments for a remote and ubiquitous monitoring of biological parameters relevant to heart failure pathophysiology offers new perspectives to improve the patients' quality of life and the efficac...

Indoor localization of targets by using electromagnetic waves has attracted a lot of attention in the last few years. Thanks to the wide availability of electromagnetic sources deployed for various applications (e.g., WiFi), nowadays it is possible to perform this task by using low-cost mobile devices, such as smartphones. To this end, in order to...

The paper presents an energy efficient WiFi-based indoor positioning algorithm, based on the probabilistic fingerprinting method, suited to be used over smartphone platforms. The work proposes a simple algebraic approach aimed at reducing the computational and energy loads of the probabilistic fingerprinting, which is employed to carry out the posi...

The paper presents an energy efficient WiFi-based indoor positioning algorithm, based on the probabilistic fingerprinting method, suited to be used over smartphone platforms. The work proposes a simple algebraic approach aimed at reducing the computational and energy loads of the probabilistic fingerprinting, which is employed to carry out the posi...

This paper proposes a system that allows recognizing a person’s emotional state starting from audio signal registrations. The provided solution is aimed at improving the interaction among humans and computers, thus allowing effective human-computer intelligent interaction. The system is able to recognize six emotions (anger, boredom, disgust, fear,...

This paper proposes a system that allows recognizing a person's emotional state starting from audio signal registrations. The provided solution is aimed at improving the interaction among humans and computers, thus allowing effective human-computer intelligent interaction. The system is able to recognize six emotions(anger, boredom, disgust, fear,...

This paper proposes a new Location Recognition algorithm for Automatic Check-In applications (called LRACI), suited to be implemented within Smartphones, integrated in the Cloud platfor