Luigi Ferrigno

• Professor
• Professor (Full) at University of Cassino and Southern Lazio

This paper presents an innovative approach to enhance the detection and characterization of atmospheric corrosion states using a pot-cored Eddy Current (EC) probe, which offers significant improvements in sensitivity and spatial resolution. The effectiveness of the proposed EC probe was validated through numerical simulations and experimental tests...

Lithium-ion (Li-ion) batteries are crucial in numerous applications, including portable electronics, electric vehicles, and energy storage systems. Electrochemical Impedance Spectroscopy (EIS) is a powerful technique for characterizing batteries, providing valuable insights into charge transfer kinetics like ion diffusion and interfacial reactions....

The present work focuses on the tapping test, which is a method that is commonly used in the literature to assess dexterity, speed, and motor coordination by repeatedly moving fingers, performing a tapping action on a flat surface. During the test, the activation of specific brain regions enhances fine motor abilities, improving motor control. The...

This paper addresses indoor localization using an anchor-based system based on Bluetooth Low Energy (BLE) 5.0 technology, adopting the Received Signal Strength Indicator (RSSI) for the distance estimation. Different solutions have been proposed in the scientific literature to improve the performance of this localization technology, but a detailed p...

The paper introduces a novel 4-coils probe designed for Eddy Current Non-Destructive Testing on conductive materials. The key innovation lies in its capability to identify small surface and subsurface cracks regardless of their orientation. This is achieved through a suitable probe developed using two pairs of exciting coils that allow to generate...

Gait analysis (GAn) is crucial for assessing human biomechanics, aiding rehabilitation, and informing health diagnostics. Traditional optoelectronic systems represent the gold standard for determining joint kinematics, but they present challenges due to high costs and technical demands in offering precise 3D marker-based GAn. Inertial measurement u...

This paper introduces Buckingham’s 𝜋 theorem in the context of Non-Destructive Testing & Evaluation (NDT&E). Its application leads to easier problems to handle by reducing the number of variables involved. In this sense, dimensional analysis can provide the foundation for in-line, real-time and low-cost inspection methods that are fully compatible...

This paper proposes dimensional analysis for solving Non-Destructive Testing & Evaluation (NDT&E) problems. This is the first time that this approach has been adopted in the framework of NDT&E, and the paper ushers in the development of probes and methods for simultaneously estimating several parameters with a simple approach. The most important th...

The paper proposes a new experimental measurement method for State of Charge (SoC) estimation able to optimize between measurement time and target Accuracy adoptable in Battery Management System (BMS) design where both these parameters are key parameters for the overall management performance. The method is applicable when the SoC is estimated in c...

This paper introduces dimensional analysis in Non-Destructive Testing & Evaluation (NDT&E) problems. This is the first time that this approach is adopted in the framework of NDT\&E, and the paper opens to the development of probes and methods to simultaneously estimate several parameters with a simple approach. The most important theorem of dimensi...

The monitoring of coordinative abilities in sports applications is often carried out by trainers that adopt subjective protocols and evaluations not supported by repeatable and reproducible measurement setups. This often leads to unreliable evaluations that do not allow us to quantify the positive or negative effect of some training in a simple way...

Wearable sensors have now become an essential reality in sports to assess motor gesture characteristics and health care in diagnosing movement-related diseases. Inertial devices can be used to reliably test an individual’s motor abilities, avoiding human operator-related errors and providing an automated, accurate and reproducible assessment method...

In recent years, National and European organizations have conducted several studies on worker health and well-being programs, focusing primarily on wellness-at-work interventions' advantages. But the intervention should be designed based on the workers' physical level. For this, it is possible to administer simple tests to define the physical profi...

Cyber security is one of the most crucial aspects of the Internet of Things (IoT). Among the possible threats, great interest is today paid toward the possible capturing of information caused by external attacks on both client and server sides. Whatever the IoT application, the involved nodes are exposed to cyberattacks mainly through the vulnerabi...

Thickness measurements of metallic plates are mandatory in many industrial scenarios. Methods based on Eddy Current Testing (ECT) are ideal for fast and accurate online contact–less thickness measurements, making them very attractive in the Industry 4.0 scenario. This contribution is focused on a specific and robust ECT technique proposed in the pa...

Parkinson's disease (PD) is a neurodegenerative condition where dopaminergic medication, such as levodopa, is typically used to improve motor symptoms, including mobility. Identifying the impact of levodopa on real-world motor state (e.g. ON/OFF/ DYSKINESIA) is important for both clinicians and people with PD. The aim of the present work was to aut...

Real-time detection of airborne infection agents present in human breath and environmental airways, such as the human respiratory Coronavirus, is important for public health. For this, a model label-free immunosensor, based on multi-walled nanotubes (MWNT)-based screen-printed graphite electrodes (SPEs), was proposed and studied. For sensing applic...

The problem of detecting illegal pollutants in wastewater is of fundamental importance for public health and security. The availability of distributed, low–cost and low–power monitoring systems, particularly enforced by IoT communication mechanisms and low-complexity machine learning algorithms, would make it feasible and easy to manage in a widesp...

In the context of energy digitisation, Load Profiling can be a useful tool for making decisions about the use and the health of an electrical load and could be adopted for strategic services related to the energy efficiency, characterisation, prediction, optimisation, and diagnosis of monitored systems. To accomplish for this task it is important...

This paper proposes a deep leaning technique for accurate detection and reliable classification of organic pollutants in water. The pollutants are detected by means of cyclic voltammetry characterizations made by using low-cost disposable screen-printed electrodes. The paper demonstrates the possibility of strongly improving the detection of such p...

Today, cyber security is a very critical issue to be addressed at several levels for minimizing the effects and consequences of cyber attacks. In the last decade many countermeasures and intrusion detection systems (IDSs) have been developed for facing this important issue, and to keep always high the level of security, all systems (both hardware a...

The localization task in sensor networks is partic-ularly critical whenever the sensor measurements are position-related, as in case of thermal and electromagnetic quantities. The deployment of a sensor network often requires the usage of low-cost devices able to achieve acceptable measurement accuracy and having the need to retrieve fast and accur...

The detection analysis of neurodegenerative diseases by means of low-cost sensors and suitable classification algorithms is a key part of the widely spreading telemedicine techniques. The choice of suitable sensors and the tuning of analysis algorithms require a large amount of data, which could be derived from a large experimental measurement camp...

Nowadays the ability to locate people and objects is becoming an important and necessary aspect for the wide range of applications concerning localization-based services. Indeed, applications based on spatial and time awareness of people and objects within certain contexts are being developed. Some application examples in which the positioning prob...

The measurement of coordinate and conditional capacities during physical exercise, such as the reaction time to an external stimulus, can provide essential information to enhance cognitive and physical skills on performance. This work aims to extend the use of a hand movement detecting device from medical diagnosis purposes to sport environments wi...

Measurement methods based on Eddy Current Testing are promising techniques to allow online thickness evaluation of conductive materials with suitable accuracy. This paper analyzes in detail some limitation of one of the proposed techniques with particular attention to the obtained measurement accuracy. The study is followed by the proposal of an on...

Water pollution is nowadays a global problem and the effective detection of pollutants is of fundamental importance. Herein, a facile, efficient, robust, and rapid (response time < 2 min) method for the determination of important quinone-based industrial pollutants such as hydroquinone and benzoquinone is reported. The recognition method is based o...

The problem of detecting pollutants in water with non-invasive and low-cost sensors is an open question. In this paper, we propose a system for the detection and classification of pollutants based on the improvement of a previous proposal, focused on geometric cones. The solution is based on a classifier suitable to be implemented aboard the so-cal...

This contribution focuses on the nondestructive evaluation of the thickness of metallic plates, by means of eddy-current testing. Specifically, we present a method for reducing/optimizing the measurement time for the approach presented in (Yin and Peyton, 2007), while keeping a high accuracy suitable for industrial applications. In (Yin and Peyton,...

Localizing objects in indoor environments with anchor-based systems poses several challenges to be faced. The main one is the design phase. What is the minimum number of anchors to be adopted? What is the optimal placement of the anchors in the operating domain? These are typical issues that need to be solved in this stage. Such issue is generally...

Smart Energy Applications are particularly impacting, especially due to energy resource scarcity and its high associated costs. A smart management of the energy consumption derives both from the user lifestyle, in terms of efficient and responsible behaviors, and from automatic algorithms that control and counteract energy waste and inefficient man...

In this paper, we propose an original approach for the real-time detection of industrial organic pollutants in water. It is based on the monitoring of the time evolution of the electrical impedance of low-cost graphitic nanomembranes. The developed approach exploits the high sensitivity of the impedance of 2D graphene-related materials to the adsor...

The reliability of systems and components is a fundamental need for the efficient development of a smart distribution grid. In fact, the presence of a fault in one component of the grid could potentially lead to a service interruption and loss of profit. Since faults cannot be avoided, the introduction of a diagnostic scheme could predict the fault...

Water monitoring systems continuously working ensure real–time pollutant detection capabilities according to their sensitivity and specificity. It is necessary to balance such features because, although being able to sense several substances is a desired feature, the reduction of false positives is a primary goal a classification system should have...

Reliable diagnosis of early-stage Parkinson’s disease is an important task, since it permits the administration of a timely treatment, slowing the progression of the disease. Together with non-motor symptoms, other important signs of disease can be retrieved from the measurement of the movement trajectory and from tremor appearances. To measure the...

The paper proposes an approach for a smart monitoring of the life-cycle of innovative graphene–based filters for water remediation in presence of pollutants. The measurement technique is based on suitable figures of merit that analyze the time variation of the electrical impedance frequency spectrum. The proposed study considers the remediation of...

The paper proposes the development, the analysis, and the experimental validation of a novel probe for Eddy Current (EC) Non-Destructive Testing especially thought to warrant good signal to noise ratios in the detection of thin defects when low excitation currents are adopted and whatever the orientation of the probe respect to the orientation of t...

This paper studies the temperature-dependence of the electrical resistivity of low-cost commercial graphene-based strips, made by a mixture of epoxy and graphene nanoplatelets. An equivalent homogenous resistivity model is derived from the joint use of experimental data and of simulation results obtained by means of a full-3D numerical electrotherm...

Nowadays, the problem of pollution in water is a very serious issue to be faced and it is really important to be able to monitoring it with non-invasive and low-cost solutions, like those offered by smart sensor technologies. In this paper, we propose an improvement of an our innovative classification system, based on geometrical cones, to detect a...

Magnetic localization is used in many indoor positioning applications, such as industrial, medical and IoT, for its benefits related to the absence of line of sight needs, multipath and fading, the low cost of transmitters and receivers, the simple development of set-ups made of coils and magnetic sensors. In short ranges applications, this technol...

In smart city framework, the water monitoring through an efficient, low-cost, low-power and IoT-oriented sensor technology is a crucial aspect to allow, with limited resources, the analysis of contaminants eventually affecting wastewater. In this sense, common interfering substances, as detergents, cannot be classified as dangerous contaminants and...

Water pollution causes an ever-increasing number of diseases and represents a worldwide concern, both for governments and researchers, as well as public opinion. This pollution also regards drinkable water, with two billion people plagued by this problem. Therefore, it is crucial to find reliable and low-cost technologies for a continuous and diffu...

In the framework of indoor air monitoring, this paper proposes an Internet of Things ready solution to detect and classify contaminants. It is based on a compact and low–power integrated system including both sensing and processing capabilities. The sensing is composed of a sensor array on which electrical impedance measurements are performed throu...

Magnetic localization in 3D space is a challenging but promising task in those indoor applications where low costs and limited range are key requirements as in industrial and in some medical clinics’ frameworks. In such cases, the localization system generally operates in disturbed environments where, in the worst case, continuous-wave disturbances...

The challenge to detect contaminants inside water solutions is addressed in this paper, through the use of an integrated, low-cost, smart and IoT platform, namely SENSIPLUS. In particular, the complete process from the sensing phase to classification and results analysis is provided with further investigations about the limitations of the current p...

In the industrial applications, innovative solutions for thickness measurements are investigated in this last years. In particular, technical solutions characterized by proper metrological performance and at the same time small size, low cost, and simple integrability are followed with the aim of operating within the modern industrial context. In t...

In this article, a metrological characterization of the performance of a wireless localization system is carried out, considering the typical disturbances affecting the medical environment. Such system will be used in specific biomedical applications, including a glove for accurate tracking of unconstrained movements. To this purpose, the authors p...

Internet of Things (IoT) is involving more and more fields where monitoring actions and fast and reliable data communication are simultaneously needed. Inside the general class of monitoring applications, those related to pollutant detection and classification are currently faced by many researchers and companies. Several approaches are being propo...

The paper deals with the fabrication, modeling and experimental characterization of a monitorable and renewable graphene-based pollution filter. The main goal is that of demonstrating a method able to monitor in real time the status of such a filter during its operating phases: pollutant adsorption, saturation, and regeneration. The filter is reali...

This Special Issue aims to collect both review and original research articles related to measurement methods in cognitive radio communications. It is open to contributions ranging from the proposal of novel spectrum-sensing algorithms, to the characterization of sensing methods in controlled and unknown environments and the implementation of spectr...

Smart City is a modern concept, born in the last decade and spreading very quickly all over the world, aiming at improving the citizens’ life quality by largely adopting Information and Communication Technologies (ICT). It is addressed to optimize the government policy and people welfare by means of the analysis of data acquired with pervasive sens...