
Vincenzo Paciello- M.S., Ph.D.
- Professor (Associate) at University of Salerno
Vincenzo Paciello
- M.S., Ph.D.
- Professor (Associate) at University of Salerno
About
158
Publications
35,470
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1,651
Citations
Introduction
Current institution
Additional affiliations
May 2016 - March 2020
January 2008 - April 2016
January 2005 - December 2011
Education
September 1996 - October 2002
Publications
Publications (158)
Quantum computing, a data processing technology based on quantum mechanics, is one of the most promising technologies in the current research scenario. Indeed, this new paradigm disrupts how information is conceived, stored, and processed thus making quantum computers still complicated to manage and program. Added to this complexity is the need to...
Rising electricity demand and the need to reduce pollutant emissions highlight the importance of renewable energy, especially solar power. While most studies on photovoltaic (PV) integration focus on developed countries, least developed and developing countries such as the Democratic Republic of Congo (DRC) face particular challenges due to fragile...
Smart sensors and networks have spread worldwide over the past few decades. In the industry field, these concepts have found an increasing quantity of applications. The omnipresence of smart sensor networks and smart devices, especially in the industrial world, has contributed to the emergence of the concept of Industry 4.0. In a world where everyt...
IOTA is a Distributed Ledger Technology (DLT) designed for the Internet of Things (IoT), featuring feeless transactions and data-only blocks for information sharing between IoT devices. Its ledger, the Tangle, adopts a Directed Acyclic Graph structure (DAG) that enables it to scale while keeping secure, fitting with the needs of IoT growth. Most of...
Forecasting electricity consumption is a major challenge for sustainable energy management, especially in cities with rapid population growth and accelerated urbanization, where energy demand typically exceeds production. Short-term load forecasting (STLF) emerges as a pivotal tool in the decision-making processes underlying the day-to-day operatio...
Quartz Crystal Microbalances (QCMs) are versatile sensors employed in various fields, from environmental monitoring to biomedical applications, owing mainly to their very high sensitivity. However, the assessment of their metrological performance, including the impact of conditioning circuits, digital processing algorithms, and working conditions,...
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...
In recent years, there has been an increasing necessity for monitoring facilities like gas or water pipelines in order to ensure high security and adequate infrastructure maintenance. The pipeline network is very large, and the main problem is its continuous monitoring. In particular, there is the necessity to monitor the cathodic protection voltag...
The measurement of exposure to workplace vibration is important for employee health prevention. This exposure can come through use of powered-hand tools or hand-transmitted vibration (HTV). Workers can also be exposed to whole body vibration (WBV) by driving vehicles. With reference to the assessment of the risks deriving from the exposure of worke...
The paper works on the new combination between the No Motion No Integration filter (NMNI) and the Kalman Filter (KF) to optimize the conducted vibration for orientation angles during drone operation. The drone’s roll, pitch, and yaw with just accelerometer and gyroscope were analyzed under the noise impact. A 6 Degree of Freedom (DoF) Parrot Mambo...
This paper introduces a novel smart sensor that employs an advanced algorithm for earthquake early warning (EEW). The sensor utilizes a smart sampling technique to extract significant signal information, simplifying the process of inferring knowledge. The main objective is to assess the potential destructiveness of an incoming earthquake by analysi...
Spectral analysis is successfully adopted in several fields. However, the requirements and the constraints of the different cases may be so varied that not only the tuning of the analysis parameters but also the choice of the most suitable technique can be a difficult task. For this reason, it is important that a designer of a measurement system fo...
In the area of measuring the environmental noise the equivalent sound pressure level LA,eq is adopted and compared with legal thresholds in order to characterize the site of interest. The paper describes an innovative Sound Level Meter (SLM) able to provide information about the measurand contribution to the measurement uncertainty estimation. This...
In condition monitoring based on vibrations for rotating machines fault detection, one of the typical symptoms is the presence of repetitive transients, which are characterized by impulsive and cyclostationarity signature. The approach quite popular nowadays in the industry for their detection is time-frequency techniques. Those techniques are main...
Stability is the key to maintain and control the drone, which is challenged by significant noise from drone motors during operation. The paper presents the Kalman filter and Complementary filter based on the quaternion to optimize drone stability. An exponential moving average (EMA) filter is used to minimize the significant vibration noise inside...
The proposal for a wireless sensor network is recommended for continuous monitoring of particulate matter. A prototype of the Automatic air quality Measurement System (AMS), which includes a low-cost standard PM sensor, was developed as a remote node for adoption in the WSN. The results of the system calibration and the comparison with the data qua...
Coronavirus disease 19 (COVID-19) is a virus that spreads through contact with the respiratory droplets of infected persons, so quarantine is mandatory to break the infection chain. This paper proposes a wearable device with the Internet of Things (IoT) integration for real-time monitoring of body temperature the indoor condition via an alert syste...
Citizen quality of life can be improved through facilities and services that must be thought to ease citizen interaction with municipal authorities, offices, and structures. Advanced metering infrastructures (AMIs) can be proposed as the backbone of smart city projects. The chapter deals with this topic by describing devices and results of a pilot...
The comfort experienced while driving a motorcycle is becoming a subject of great importance; indeed, the driver is exposed to vibrations that are typically caused by irregular profiles or wear of the road surface as well as by the aerodynamic influence and high-frequency rotation of the motorcycle engine. This paper discloses an original solution...
The occurrence of an earthquake has immediate consequences, such as the destruction of buildings. However, the impact can be much more severe and extend over time. The arrival of an earthquake's destructive wave can subsequently: produce a rupture in water distribution pipes, leading to water leakage, when water is even more valuable; break gas pip...
The main goal of the paper is to fully explore the capability of the ‘No Motion No Integration’ (NMNI) technique for the optimization of Euler angles in orientation tracking. The gyroscope is the critical component in the Inertial Measurement Unit for angle detection in Industry 4.0. An upgraded NMNI model is introduced to remove the drift of the g...
Currently, one of the most serious environmental problems on the planet is air pollution by fine dust, including Particulate Matter with an aerodynamic diameter of about 10 µm (PM10) and 2.5 µm (PM2.5). The high concentration of these components, particularly in urban and industrial areas, leads to a worrying incidence of respiratory diseases. In f...
The high quality of heading orientation is a key
factor to monitor the industrial robot arms in the Industry
4.0. The paper proposes a new algorithm ‘No Motion No
Integration’ (NMNI) to enhance the gyroscope performance via
signal processing and specifically improve the Madgwick filter for
heading estimation to overcome the weakness of magnetometer...
A low-cost platform for development and testing of attitude and positioning algorithms is presented. In addition to an IMU a barometer is added to the data fusion to further improve the quality. An array of MEMS microphones and laser sensor is the key measurement instrument for the control strategy. The platform is accompanied by the implementation...
Most of engineering infrastructure including bridges impacts significantly civilians life quality and safety. Despite carrying their own weight and live load during operation, structure members are also seriously affected by disaster and environment. This research paper proposed an investigation in the changes of vibration frequency and the main gi...
Nowadays, the air quality has become one of the most important problem in modern cities. The particulate matters in the air represents one of the principal causes of respiratory problems. The industrial products and the vehicular traffic had contributed to several phenomena in the increasing of atmospheric pollutants as ammonia, carbon dioxide, PM...
The comfort experienced driving a motorcycle is becoming a subject of great importance, indeed, the driver is exposed to vibrations, which in some cases may cause troublesome problems. The vibrations, during the driving of a motorcycles, are caused by irregular profiles of the road surface or by the wear of the latter; these conditions, unfortunate...
This paper presents a method for IMU/MARG alignment in aftermarket suspension control system. The proposed algorithm uses classical literature methods for the estimation of the attitude and applies simple geometrical rules to determine the initial alignment of the device with respect to the vehicle frame. The system uses, also, the GPS/GNSS signal...
The smart city in urban planning and architecture is a set of urban planning strategies aimed at optimizing and innovating public services so as to relate the material infrastructures of cities “with the human, intellectual and social capital of those who live there” thanks to the widespread use of new communication technologies, mobility, environm...
Citizen quality of life can be improved through facilities and services that have been thought to ease citizen interaction with municipal authorities, offices and structures. All technologies and devices, used for developing these facilities, are the pillars of the Smart City idea: a City that adapts itself, at least in part, to citizens' needs. Ad...
Control and monitoring systems base their decisions on the information provided by transducers. These signals must be acquired, processed and transmitted. There is an exchange between sensor signal processing and data rate, more signal processing inside the transducer implies lower data rate over the networks. This paper presents the standard IEEE...
Technological advancements are allowing the development of smart sensing devices with extremely low energy requirements. An emerging trend is the powering of smart sensors with energy harvested from the operating environment. Simultaneously, the task performed by a sensing node can be performed by a microprocessor with low computational resources....
Advanced Metering Infrastructure (AMI) today represents the backbone of Smart City intended as urban area where the most of public services are smart. Smart devices allow cities to be smart, enabling communication also among things and creating a new system nowadays known as IoT (Internet of Things). In particular the smarter the meters, the smarte...
Semi-active suspension control is able to regulate the damping forces by measuring the relative velocity of the wheels respect to the vehicle body. The adoption of linear potentiometers (the most used sensors in racing for linearity and simplicity) reveals to be expensive for mass market and unreliable in the long run. The paper deals with the vali...
In recent years, smart devices are increasingly. These devices allow making cities smart, enabling communication...
Semi-active systems are at the top of the motorcycle suspension market in terms of both performance and cost. Their performance depends on two main elements: the damper regulation technique and the control strategy. Magneto-Rheological Damper is the choice made by the authors for their suspension system. From the academic research, passing through...
Advanced Metering Infrastructures (AMIs) are thought to deliver services to both citizens and utility companies in smart city context. All services are based on battery powered terminal devices (smart meters), which get to the internet through suitable gateways. Smart meters are usually featured with RF short range antennas and must be within the c...
Smart Grid are being proposed as prime solution for the effective growth of electricity market allowing the heterogeneous players to assume real-time autonomous reactions to the changing conditions of the grid and new services (such as Demand Response, DR, and Vehicle-to-grid, V2G) to be introduced. One of the main requisite for such development is...
Semi-active suspension control needs to measure the relative velocity of the wheels respect to the vehicle body to regulate the damping forces. Linear potentiometers are the most used sensors in racing for linearity and simplicity, but they are expensive for mass market and unreliable in the long run. The paper deals with two different approaches t...
Semi-active suspension control needs to measure the relative velocity of the wheels respect to the vehicle body to regulate the damping forces. Linear potentiometers are the most used sensors in racing for linearity and simplicity, but they are expensive for mass market and unreliable in the long run. A solution to limit the cost of the vehicle ele...
Smart cities and smart homes are driving economic growth and improving the quality of people's life by enabling local development and harnessing technologies, especially the ones leading to smart outcomes and connectivity. Application of smart solutions will enable human living environments to use technology, information and data to improve infrast...
This paper examines the uncertainty of period measurement, using a real time segmentation and labeling algorithm, proposed for the definition of a new standard of the IEEE 1451, the family of standards for smart sensors. Firstly, an explanation of the algorithm is shown. Secondly, several simulation results are analyzed. Finally, experimental resul...
Advanced Metering Infrastructures (AMI) are going to represent the backbone of all the Smart City projects where metering and other public services are supposed to be smart. The scenario proposed by OPEN METER project is taking shape in some urban areas where smart meters, concentrators and central access systems have been experiencing. In this pap...
Drones like helicopters use vertical oriented rotors to lift and navigate forward. Thanks to the use of modern flight controllers, they often can fly autonomously. Namely, the user can mark target points on a map to which the helicopter is driven by the software controller without any other interventions of the user. Once on the target, the helicop...
Demand Side Management requires both an adequate architecture to observe and control the status of the power grid and precise and real time measurements on which rely. In case of frequency fluctuations, precision is no more guaranteed so without adding more hardware the authors exploit FFT interpolation to estimate the real frequency of electrical...
The availability of intelligence at substation level, combined with the adoption of pervasive communication networks, offers technologies and opportunities to decentralized smart grid metering and control. In this domain self-organizing sensor networks equipped by distributed consensus protocols have been recognized as an effective enabling paradig...
The evolution of energy demand and production can be faced with a Grid that becomes Smart: a network that is capable of integrating heterogeneous players in both generation and demand, allowing each of them to access electricity market and being able to react in real-time and autonomously to changing conditions on the grid. Such paradigm may allow...
Automatic Meter Reading (AMR) is one of the key issues in modern energy efficiency technologies, which are expected to bring on great benefits to both customers and utility companies (electricity, gas and water). Several efforts have been recently made in developing suitable communication protocols for metering data management and transmission. In...
An analysis of parameters extraction algorithms, like mean, period or root mean square value, based on a real time segmentation and labeling technique is shown in this paper. This algorithm, proposed also as a recommended practice for the IEEE 21451 new family of standard for smart sensors, allows to obtain as an output only several meaningful samp...
This paper presents an electrical battery model that can be used for dynamic simulations of both stationary and distributed energy storage systems, such as storage plants or electric vehicles. Although the model has been validated for lead-acid and lithium batteries, it can be easily adapted to other battery chemistries as well. The parameters can...
This paper presents a real time algorithm, based on a segmentation and labelling technique, for analog transducer signals, which extracts information from the signal. The process of sampling is extremely important because it is the only one that connects the real world with the digital world. In addition, the proposed technique can be embedded into...
A comparison between two different algorithms to measure the period of a signal is performed on this work. One of the algorithms is based on the Fast Fourier Transformation (FFT) measurement procedure, whereas the other is based on the Segmentation and Labeling algorithm (MeT). Both algorithms have been prepared for implementation in a microcontrol...
An analysis of the algorithm for period
measurement based on a segmentation and labeling technique is
shown in this paper. Results of the implementation of the
algorithm on an oscilloscope are explained, comparing these with
results of the oscilloscope algorithm for period computation. In
the last section, results of the algorithm, arranged fo...
In this paper a semi-active RFID module for remote monitoring of storage conditions during the transportation is proposed. It integrates one SmartTag and some sensors, and allows also to locate the object to the one which is related. In order to obtain the real time observing on the transportation vehicle an On Board Unit (OBU) is installed that wo...
Smart sensors and transducers are being widely employed in the development of electronically controlled systems, such as advanced suspensions, to improve the performance guaranteed by terrestrial vehicles. Nevertheless, a standard reference for the full exploitation of the smart features is not yet extensively adopted. The CAN-bus is only used for...
Questions
Questions (3)
The reason I am asking these questions is that I want to add in a new radio parameter file for CC1120 transceiver.
How it is possible to achieve the maximum sampling frequency of the beaglebone's ADC? Is possible to get an interrupt from ADC on linux Ångström distribution?
Known primarily as a navigation system, the global positioning system is also used to disseminate precise time, time intervals, and frequency. The GPS
carrier signals originate from on-board atomic clocks monitored by ground control stations. GPS satellites transmit time signals with each subframe of data modulated onto the carrier. While navigation and survey receivers use GPS time
to aid in computation of position solutions, time and frequency receivers use GPS satellite transmissions to control timing signals and oscillators.