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Prof. Nicola Giannoccaro
Dipartimento di Ingegneria dell'Innovazione, Università del Salento, Lecce, Italy

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Research Keywords & Expertise

0 Applied Mechanics
0 robotic
0 Modal analysis and testing
0 vehicle testing
0 Mechatronic system

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Modal analysis and testing
robotic
Mechatronic system

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Journal article
Published: 10 August 2021 in Energies
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There are many car tests regulated by European and international standards and carried out on tracks to assess vehicle performance. The test preparation phase usually consists of placing road cones on the track with a specific configuration defined by the considered standard; this phase is performed by human operators using imprecise and slow methods, mainly due to the large required distances. In this paper, a new geolocation stake-out system based on GNSS RTK technology was realized and tested, supported by a Matlab-based software application to allow the user to quickly and precisely locate the on-track points on which to position the road cones. The realized stake-out system, innovative and very simple to use, produced negligible average errors (i.e., 2.4–2.9 cm) on the distance between the staked-out points according to the reference standards (distance percentage error 0.29–0.47%). Furthermore, the measured average angular error was also found to be very low, in the range 0.04–0.18°. Finally, ISO 3888-1 and ISO 3888-2 test configurations were reproduced on the proving ground of the Porsche Technical Center by utilizing the realized stake-out system to perform a double lane-change maneuver on car prototypes.

ACS Style

Paolo Visconti; Francesco Iaia; Roberto De Fazio; Nicola Giannoccaro. A Stake-Out Prototype System Based on GNSS-RTK Technology for Implementing Accurate Vehicle Reliability and Performance Tests. Energies 2021, 14, 4885 .

AMA Style

Paolo Visconti, Francesco Iaia, Roberto De Fazio, Nicola Giannoccaro. A Stake-Out Prototype System Based on GNSS-RTK Technology for Implementing Accurate Vehicle Reliability and Performance Tests. Energies. 2021; 14 (16):4885.

Chicago/Turabian Style

Paolo Visconti; Francesco Iaia; Roberto De Fazio; Nicola Giannoccaro. 2021. "A Stake-Out Prototype System Based on GNSS-RTK Technology for Implementing Accurate Vehicle Reliability and Performance Tests." Energies 14, no. 16: 4885.

Journal article
Published: 29 June 2021 in ACTA IMEKO
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Mobile robots and rovers play an important role in many industrial applications. Under certain constraints, they are suitable in harsh environments and conditions in which protracted human activity is not safe or permitted. In many circumstances, mechanical aspects and electrical consumption need to be optimized for autonomous and wheeled mobile robots. The paper illustrates the design of a semi-custom wheeled mobile robot with high-efficiency mono- or polycrystalline photovoltaic panel on the roof that supports the lithium ion batteries during particular tasks (e.g. navigating rough terrain, obstacles or steep paths) to extend the robot’s autonomy. An electronic controller was designed, and data acquisition related to power consumption performed using a specific experimental setup. The robot can detect parameters such as temperature, humidity, concentrations of toxic gas species and the presence of flames, making it particularly suitable for contaminated environments or industrial plants. For this aim, the mobile robot was equipped with a wide range of commercial sensors and a Global Positioning System receiver to track its position. In addition, using an HC-06 Bluetooth transceiver, the robot receives commands and instructions, and sends the acquired data to the developed IoTool smartphone application, where they are displayed to be analysed by user.

ACS Style

Roberto De Fazio; Dany Mpoi Katamba; Aimè Lay Ekuakille; Miguel Joseph Ferreira; Simon Kidiamboko; Nicola Ivan Giannoccaro; Ramiro Velazquez; Paolo Visconti. Sensors-based mobile robot for harsh environments: functionalities, energy consumption analysis and characterization. ACTA IMEKO 2021, 10, 209 -219.

AMA Style

Roberto De Fazio, Dany Mpoi Katamba, Aimè Lay Ekuakille, Miguel Joseph Ferreira, Simon Kidiamboko, Nicola Ivan Giannoccaro, Ramiro Velazquez, Paolo Visconti. Sensors-based mobile robot for harsh environments: functionalities, energy consumption analysis and characterization. ACTA IMEKO. 2021; 10 (2):209-219.

Chicago/Turabian Style

Roberto De Fazio; Dany Mpoi Katamba; Aimè Lay Ekuakille; Miguel Joseph Ferreira; Simon Kidiamboko; Nicola Ivan Giannoccaro; Ramiro Velazquez; Paolo Visconti. 2021. "Sensors-based mobile robot for harsh environments: functionalities, energy consumption analysis and characterization." ACTA IMEKO 10, no. 2: 209-219.

Journal article
Published: 20 March 2021 in Sensors
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Rural pipelines dedicated to water distribution, that is, waterworks, are essential for agriculture, notably plantations and greenhouse cultivation. Water is a primary resource for agriculture, and its optimized management is a key aspect. Saving water dispersion is not only an economic problem but also an environmental one. Spectral estimation of leakage is based on processing signals captured from sensors and/or transducers generally mounted on pipelines. There are different techniques capable of processing signals and displaying the actual position of leaks. Not all algorithms are suitable for all signals. That means, for pipelines located underground, for example, external vibrations affect the spectral response quality; then, depending on external vibrations/noises and flow velocity within pipeline, one should choose a suitable algorithm that fits better with the expected results in terms of leak position on the pipeline and expected time for localizing the leak. This paper presents findings related to the application of a decimated linear prediction (DLP) algorithm for agriculture and rural environments. In a certain manner, the application also detects the hydrodynamics of the water transportation. A general statement on the issue, DLP illustration, a real application and results are also included.

ACS Style

Aimé Lay-Ekuakille; Vito Telesca; Paolo Visconti; Nicola Giannoccaro. Accurate Spectral Estimation Technique Based on Decimated Linear Predictor for Leak Detection in Waterworks. Sensors 2021, 21, 2185 .

AMA Style

Aimé Lay-Ekuakille, Vito Telesca, Paolo Visconti, Nicola Giannoccaro. Accurate Spectral Estimation Technique Based on Decimated Linear Predictor for Leak Detection in Waterworks. Sensors. 2021; 21 (6):2185.

Chicago/Turabian Style

Aimé Lay-Ekuakille; Vito Telesca; Paolo Visconti; Nicola Giannoccaro. 2021. "Accurate Spectral Estimation Technique Based on Decimated Linear Predictor for Leak Detection in Waterworks." Sensors 21, no. 6: 2185.

Journal article
Published: 21 November 2020 in Energies
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This paper introduces a novel low-cost solar-powered wearable assistive technology (AT) device, whose aim is to provide continuous, real-time object recognition to ease the finding of the objects for visually impaired (VI) people in daily life. The system consists of three major components: a miniature low-cost camera, a system on module (SoM) computing unit, and an ultrasonic sensor. The first is worn on the user’s eyeglasses and acquires real-time video of the nearby space. The second is worn as a belt and runs deep learning-based methods and spatial algorithms which process the video coming from the camera performing objects’ detection and recognition. The third assists on positioning the objects found in the surrounding space. The developed device provides audible descriptive sentences as feedback to the user involving the objects recognized and their position referenced to the user gaze. After a proper power consumption analysis, a wearable solar harvesting system, integrated with the developed AT device, has been designed and tested to extend the energy autonomy in the different operating modes and scenarios. Experimental results obtained with the developed low-cost AT device have demonstrated an accurate and reliable real-time object identification with an 86% correct recognition rate and 215 ms average time interval (in case of high-speed SoM operating mode) for the image processing. The proposed system is capable of recognizing the 91 objects offered by the Microsoft Common Objects in Context (COCO) dataset plus several custom objects and human faces. In addition, a simple and scalable methodology for using image datasets and training of Convolutional Neural Networks (CNNs) is introduced to add objects to the system and increase its repertory. It is also demonstrated that comprehensive trainings involving 100 images per targeted object achieve 89% recognition rates, while fast trainings with only 12 images achieve acceptable recognition rates of 55%.

ACS Style

Bernardo Calabrese; Ramiro Velázquez; Carolina Del-Valle-Soto; Roberto De Fazio; Nicola Ivan Giannoccaro; Paolo Visconti. Solar-Powered Deep Learning-Based Recognition System of Daily Used Objects and Human Faces for Assistance of the Visually Impaired. Energies 2020, 13, 6104 .

AMA Style

Bernardo Calabrese, Ramiro Velázquez, Carolina Del-Valle-Soto, Roberto De Fazio, Nicola Ivan Giannoccaro, Paolo Visconti. Solar-Powered Deep Learning-Based Recognition System of Daily Used Objects and Human Faces for Assistance of the Visually Impaired. Energies. 2020; 13 (22):6104.

Chicago/Turabian Style

Bernardo Calabrese; Ramiro Velázquez; Carolina Del-Valle-Soto; Roberto De Fazio; Nicola Ivan Giannoccaro; Paolo Visconti. 2020. "Solar-Powered Deep Learning-Based Recognition System of Daily Used Objects and Human Faces for Assistance of the Visually Impaired." Energies 13, no. 22: 6104.

Journal article
Published: 28 June 2020 in Sensors
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The huge spreading of Internet of things (IoT)-oriented modern technologies is revolutionizing all fields of human activities, leading several benefits and allowing to strongly optimize classic productive processes. The agriculture field is also affected by these technological advances, resulting in better water and fertilizers’ usage and so huge improvements of both quality and yield of the crops. In this manuscript, the development of an IoT-based smart traceability and farm management system is described, which calibrates the irrigations and fertigation operations as a function of crop typology, growth phase, soil and environment parameters and weather information; a suitable software architecture was developed to support the system decision-making process, also based on data collected on-field by a properly designed solar-powered wireless sensor network (WSN). The WSN nodes were realized by using the ESP8266 NodeMCU module exploiting its microcontroller functionalities and Wi-Fi connectivity. Thanks to a properly sized solar power supply system and an optimized scheduling scheme, a long node autonomy was guaranteed, as experimentally verified by its power consumption measures, thus reducing WSN maintenance. In addition, a literature analysis on the most used wireless technologies for agri-food products’ traceability is reported, together with the design and testing of a Bluetooth low energy (BLE) low-cost sensor tag to be applied into the containers of agri-food products, just collected from the fields or already processed, to monitor the main parameters indicative of any failure or spoiling over time along the supply chain. A mobile application was developed for monitoring the tracking information and storing conditions of the agri-food products. Test results in real-operative scenarios demonstrate the proper operation of the BLE smart tag prototype and tracking system.

ACS Style

Paolo Visconti; Roberto De Fazio; Ramiro Velázquez; Carolina Del-Valle-Soto; Nicola Ivan Giannoccaro. Development of Sensors-Based Agri-Food Traceability System Remotely Managed by A Software Platform for Optimized Farm Management. Sensors 2020, 20, 3632 .

AMA Style

Paolo Visconti, Roberto De Fazio, Ramiro Velázquez, Carolina Del-Valle-Soto, Nicola Ivan Giannoccaro. Development of Sensors-Based Agri-Food Traceability System Remotely Managed by A Software Platform for Optimized Farm Management. Sensors. 2020; 20 (13):3632.

Chicago/Turabian Style

Paolo Visconti; Roberto De Fazio; Ramiro Velázquez; Carolina Del-Valle-Soto; Nicola Ivan Giannoccaro. 2020. "Development of Sensors-Based Agri-Food Traceability System Remotely Managed by A Software Platform for Optimized Farm Management." Sensors 20, no. 13: 3632.

Journal article
Published: 11 June 2020 in Energies
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The continuous evolution of the Internet of Things (IoT) makes it possible to connect everyday objects to networks in order to monitor physical and environmental conditions, which is made possible due to wireless sensor networks (WSN) that enable the transfer of data. However, it has also brought about many challenges that need to be addressed, such as excess energy consumption. Accordingly, this paper presents and analyzes wireless network energy models using five different communication protocols: Ad Hoc On-Demand Distance Vector (AODV), Multi-Parent Hierarchical (MPH), Dynamic Source Routing (DSR), Low Energy Adaptive Clustering Hierarchy (LEACH) and Zigbee Tree Routing (ZTR). First, a series of metrics are defined to establish a comparison and determine which protocol exhibits the best energy consumption performance. Then, simulations are performed and the results are compared with real scenarios. The energy analysis is conducted with three proposed sleeping algorithms: Modified Sleeping Crown (MSC), Timer Sleeping Algorithm (TSA), and Local Energy Information (LEI). Thereafter, the proposed algorithms are compared by virtue of two widely used wireless technologies, namely Zigbee and WiFi. Indeed, the results suggest that Zigbee has a better energy performance than WiFi, but less redundancy in the topology links, and this study favors the analysis with the simulation of protocols with different nature. The tested scenario is implemented into a university campus to show a real network running.

ACS Style

Carolina Del-Valle-Soto; Ramiro Velázquez; Leonardo J. Valdivia; Nicola Ivan Giannoccaro; Paolo Visconti. An Energy Model Using Sleeping Algorithms for Wireless Sensor Networks under Proactive and Reactive Protocols: A Performance Evaluation. Energies 2020, 13, 3024 .

AMA Style

Carolina Del-Valle-Soto, Ramiro Velázquez, Leonardo J. Valdivia, Nicola Ivan Giannoccaro, Paolo Visconti. An Energy Model Using Sleeping Algorithms for Wireless Sensor Networks under Proactive and Reactive Protocols: A Performance Evaluation. Energies. 2020; 13 (11):3024.

Chicago/Turabian Style

Carolina Del-Valle-Soto; Ramiro Velázquez; Leonardo J. Valdivia; Nicola Ivan Giannoccaro; Paolo Visconti. 2020. "An Energy Model Using Sleeping Algorithms for Wireless Sensor Networks under Proactive and Reactive Protocols: A Performance Evaluation." Energies 13, no. 11: 3024.

Journal article
Published: 07 June 2020 in Sensors
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In this paper, a non-destructive technique based on the monitoring of the environmental vibrations of two strategic buildings by positioning accelerometers in well-defined points was used for fixing their dynamic behavior. The accelerometers measurements were elaborated through Operational Modal Analysis (OMA) techniques, in order to identify natural frequencies, damping coefficients, and modal shapes of the structure. Once these parameters have been determined, a numerical model calibrated on the identified frequencies and verified on the corresponding mode shapes was created for each building. The structural operational efficiency index of the buildings was determined by using the Seismic Model Ambient Vibration (SMAV) methodology, which allows us to evaluate their seismic vulnerability. The results obtained from the experimental analysis (on three different tests for each analyzed building) concern the frequencies and the modal shapes of the structure. They have been compared to the results of the finite element model, with a very small error, indicating a good quality of the analysis and also the possibility of using directly well-tuned models for verifying the structural operating indices.

ACS Style

Dora Foti; Nicola Ivan Giannoccaro; Vitantonio Vacca; Michela Lerna. Structural Operativity Evaluation of Strategic Buildings through Finite Element (FE) Models Validated by Operational Modal Analysis (OMA). Sensors 2020, 20, 1 .

AMA Style

Dora Foti, Nicola Ivan Giannoccaro, Vitantonio Vacca, Michela Lerna. Structural Operativity Evaluation of Strategic Buildings through Finite Element (FE) Models Validated by Operational Modal Analysis (OMA). Sensors. 2020; 20 (11):1.

Chicago/Turabian Style

Dora Foti; Nicola Ivan Giannoccaro; Vitantonio Vacca; Michela Lerna. 2020. "Structural Operativity Evaluation of Strategic Buildings through Finite Element (FE) Models Validated by Operational Modal Analysis (OMA)." Sensors 20, no. 11: 1.

Journal article
Published: 01 June 2020 in Bulletin of Electrical Engineering and Informatics
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This work describes the design of innovative IoT-oriented farm management system that employs low-cost WSN for detecting soil, environmental and crops parameters that properly processed, in combination with weather forecasts, are used to determine future farming activities based on agronomic models implemented in the software platform. Goals of carried out research activity are to guarantee production both qualitatively and quantitatively of cultivated crops, to increase company income and reduce environmental impacts; achieving these objectives is a prerequisite for implementing of sustainable agriculture. Connection between traditional cropping systems and innovative technologies is achieved through the utilization of low-cost wireless electronic modules for acquiring data from connected sensors. The fertigation system operation is supported by solar-powered low-cost WSN capable of constantly monitoring soil and environmental parameters; thanks to sensor nodes properly positioned in cultivated land or greenhouse, interest parameters of both air and soil are detected and transmitted to on-cloud database, to allow monitoring and remote control from enabled users (farmer or agronomist). For this aim, an application specifically realized and tested during the different fertigation system’s functional tests, allows users to visualize and eventually remotely intervene by using a smart-phone or tablet.

ACS Style

P. Visconti; Nicola Ivan Giannoccaro; R. De Fazio; S. Strazzella; D. Cafagna. IoT-oriented software platform applied to sensors-based farming facility with smartphone farmer app. Bulletin of Electrical Engineering and Informatics 2020, 9, 1095 -1105.

AMA Style

P. Visconti, Nicola Ivan Giannoccaro, R. De Fazio, S. Strazzella, D. Cafagna. IoT-oriented software platform applied to sensors-based farming facility with smartphone farmer app. Bulletin of Electrical Engineering and Informatics. 2020; 9 (3):1095-1105.

Chicago/Turabian Style

P. Visconti; Nicola Ivan Giannoccaro; R. De Fazio; S. Strazzella; D. Cafagna. 2020. "IoT-oriented software platform applied to sensors-based farming facility with smartphone farmer app." Bulletin of Electrical Engineering and Informatics 9, no. 3: 1095-1105.

Regular paper
Published: 08 May 2020 in International Journal of Precision Engineering and Manufacturing
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Smart fertigation is a topic of great interest in the effort to optimize different activities involved in local and extensive agriculture for assisting crops, optimizing production by using wireless technologies, data-processing electronic boards and sensors network. With the advent of Agriculture 4.0, similar to Industry 4.0, Information Communication Technology (ICT), associated with mechatronics, is giving an added value to this technique allowing optimization of water, fertilizers, control of water flow in pipes and period of irrigation. This paper intends to illustrate findings related to an innovative low cost system for assisting crops and achieving an accurate farming by investigating on the design, construction, testing and control of dosing system for liquid and granular fertilizers. Four different dosage systems have been designed, realized and tested with different granular and liquid fertilizers; the analysis of an extensive experimental campaign allows to define the characteristic and the mathematical expressions for each analyzed fertilizer and for each dosage system. The accurate modeling allows to control with extreme precision the realized dosing systems after estimating the quantity of fertilizer which the crop needs by means of the smart fertigation system. The obtained results permit the optimization of the fertilizer dosage in terms of quantity, which at the same time translates into lower production costs, greater environmental sustainability and optimization of production in terms of quantity and quality.

ACS Style

N. I. Giannoccaro; G. Persico; S. Strazzella; A. Lay-Ekuakille; P. Visconti. A System for Optimizing Fertilizer Dosing in Innovative Smart Fertigation Pipelines: Modeling, Construction, Testing and Control. International Journal of Precision Engineering and Manufacturing 2020, 21, 1581 -1596.

AMA Style

N. I. Giannoccaro, G. Persico, S. Strazzella, A. Lay-Ekuakille, P. Visconti. A System for Optimizing Fertilizer Dosing in Innovative Smart Fertigation Pipelines: Modeling, Construction, Testing and Control. International Journal of Precision Engineering and Manufacturing. 2020; 21 (8):1581-1596.

Chicago/Turabian Style

N. I. Giannoccaro; G. Persico; S. Strazzella; A. Lay-Ekuakille; P. Visconti. 2020. "A System for Optimizing Fertilizer Dosing in Innovative Smart Fertigation Pipelines: Modeling, Construction, Testing and Control." International Journal of Precision Engineering and Manufacturing 21, no. 8: 1581-1596.

Research article
Published: 02 April 2019 in Structural Control and Health Monitoring
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This paper presents the analysis of the dynamic performances of a simple model related to a squat masonry tower situated in the Swabian Castle of Trani (Italy). The main objective of this paper is to introduce a novel strategy based on a simple model validated by experimental data for defining the influence of the excitation frequency on the structural damping dynamic transmission. To this aim, first, the accelerations have been acquired simultaneously in 23 points of the tower at different levels, both due to environmental vibrations and due to a series of sinusoidal forced vibrations applied at the base by using an electro‐hydraulic shaker device specifically designed for the tests. Four different excitation frequencies have been then selected for exciting the structure. An operational modal analysis has been carried out by the environmental recordings and with the different forcing loads obtaining a very good correlation of the identified frequencies in all the cases. Then a digital filtering process has been applied over all the recorded signals to evaluate the specific contribution for each frequency generated by the shaking device at each level of the tower. Increments of damping ratio have been detected with these forced vibrations at the base. Finally, a simple frame numerical model has been developed to reproduce the dynamic amplification at the most significant locations of the tower. It has been updated not only to have the same main frequencies and modal shapes but also to get a similar response under forced vibrations at the base. A good correlation has been obtained between the model and the real structure for the base forced vibrations at different excitation frequencies in order to correctly predict the dynamic behaviour of the structure.

ACS Style

Salvador Ivorra; Nicola Ivan Giannoccaro; Dora Foti. Simple model for predicting the vibration transmission of a squat masonry tower by base forced vibrations. Structural Control and Health Monitoring 2019, 26, e2360 .

AMA Style

Salvador Ivorra, Nicola Ivan Giannoccaro, Dora Foti. Simple model for predicting the vibration transmission of a squat masonry tower by base forced vibrations. Structural Control and Health Monitoring. 2019; 26 (6):e2360.

Chicago/Turabian Style

Salvador Ivorra; Nicola Ivan Giannoccaro; Dora Foti. 2019. "Simple model for predicting the vibration transmission of a squat masonry tower by base forced vibrations." Structural Control and Health Monitoring 26, no. 6: e2360.

Proceedings article
Published: 01 November 2018 in 2018 Nanotechnology for Instrumentation and Measurement (NANOfIM)
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With climate changes facing environmental and health challenges, emissions reduction, along with contamination, is considered as a priority over many other related issues. That is because emissions have a great impact on environment and health. Nanotechnology can play an important role, especially, in presence of emissions with solid particles with micro and nano-dimensions; even with fluid (gas and liquid) flow. The paper illustrates requirements an criteria for using urea and nanourea for emissions control and abatement. In this approach, NEMS and nano-actuators are useful.

ACS Style

A. Lay-Ekuakille; Nicola Ivan Giannoccaro; L. Blois; V. Kalonga; P. Kapita. NEMS Devices for Actuators to Control Nano-Urea Flow: Environmental and Biomedical Challenges. 2018 Nanotechnology for Instrumentation and Measurement (NANOfIM) 2018, 1 -3.

AMA Style

A. Lay-Ekuakille, Nicola Ivan Giannoccaro, L. Blois, V. Kalonga, P. Kapita. NEMS Devices for Actuators to Control Nano-Urea Flow: Environmental and Biomedical Challenges. 2018 Nanotechnology for Instrumentation and Measurement (NANOfIM). 2018; ():1-3.

Chicago/Turabian Style

A. Lay-Ekuakille; Nicola Ivan Giannoccaro; L. Blois; V. Kalonga; P. Kapita. 2018. "NEMS Devices for Actuators to Control Nano-Urea Flow: Environmental and Biomedical Challenges." 2018 Nanotechnology for Instrumentation and Measurement (NANOfIM) , no. : 1-3.

Journal article
Published: 24 October 2018 in ACTA IMEKO
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This paper presents the dynamic experimental campaign carried out on a stocky masonry clock tower situated in the Swabian Castle of Trani (Italy). The main objective of this paper is, after estimating the main frequencies and vibration modes of the considered structure, defining the transmission of vibrations along the height of the tower by varying the forced frequency at the base. At this aim, short acceleration records have been acquired simultaneously in 20 points of the tower at different levels, due to a series of sinusoidal forced vibrations applied at the base by using a pneumatic shaker device specify designed for the tests. The proposed procedure permit to extract for each monitored point the amplitude of the sinusoidal component related to the excitation frequency and the phase shift due to the structure damping. The results of the proposed procedure are compared with the results of a classical operational modal analysis in environmental conditions in order to demonstrate that the short forced tests permit to classify the typology of the structure mode shapes.

ACS Style

Mariella Diaferio; Dora Foti; Nicola Ivan Giannoccaro; Salvador Ivorra Ivorra. Measuring the modal parameters of a cultural heritage tower by using strong-motion signals. ACTA IMEKO 2018, 7, 86 -94.

AMA Style

Mariella Diaferio, Dora Foti, Nicola Ivan Giannoccaro, Salvador Ivorra Ivorra. Measuring the modal parameters of a cultural heritage tower by using strong-motion signals. ACTA IMEKO. 2018; 7 (3):86-94.

Chicago/Turabian Style

Mariella Diaferio; Dora Foti; Nicola Ivan Giannoccaro; Salvador Ivorra Ivorra. 2018. "Measuring the modal parameters of a cultural heritage tower by using strong-motion signals." ACTA IMEKO 7, no. 3: 86-94.

Conference paper
Published: 01 September 2018 in 2018 International Conference on Information and Communication Technology Robotics (ICT-ROBOT)
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We propose an automatic calibration method of a 3D sensor using a real-time simulator. With this method, the relative posture of a real sensor is estimated by obtaining the rigid body coordinate transformation that associates the virtual and real sensors in real-time. Moreover, the results of applying the method to a real system and verifying its effectiveness are shown.

ACS Style

Yuji Ninomiya; Yuta Arita; Ryodo Tanaka; Takeshi Nishida; Nicola Ivan Giannoccaro. Automatic Calibration of Industrial Robot and 3D Sensors using Real-Time Simulator. 2018 International Conference on Information and Communication Technology Robotics (ICT-ROBOT) 2018, 1 -4.

AMA Style

Yuji Ninomiya, Yuta Arita, Ryodo Tanaka, Takeshi Nishida, Nicola Ivan Giannoccaro. Automatic Calibration of Industrial Robot and 3D Sensors using Real-Time Simulator. 2018 International Conference on Information and Communication Technology Robotics (ICT-ROBOT). 2018; ():1-4.

Chicago/Turabian Style

Yuji Ninomiya; Yuta Arita; Ryodo Tanaka; Takeshi Nishida; Nicola Ivan Giannoccaro. 2018. "Automatic Calibration of Industrial Robot and 3D Sensors using Real-Time Simulator." 2018 International Conference on Information and Communication Technology Robotics (ICT-ROBOT) , no. : 1-4.

Journal article
Published: 07 April 2018 in Applied Sciences
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This paper presents a novel, wearable navigation system for visually impaired and blind pedestrians that combines a global positioning system (GPS) for user outdoor localization and tactile-foot stimulation for information presentation. Real-time GPS data provided by a smartphone are processed by dedicated navigation software to determine the directions to a destination. Navigational directions are then encoded as vibrations and conveyed to the user via a tactile display that inserts into the shoe. The experimental results showed that users were capable of recognizing with high accuracy the tactile feedback provided to their feet. The preliminary tests conducted in outdoor locations involved two blind users who were guided along 380–420 m predetermined pathways, while sharing the space with other pedestrians and facing typical urban obstacles. The subjects successfully reached the target destinations. The results suggest that the proposed system enhances independent, safe navigation of blind pedestrians and show the potential of tactile-foot stimulation in assistive devices.

ACS Style

Ramiro Velázquez; Edwige Pissaloux; Pedro Rodrigo; Miguel Carrasco; Nicola Ivan Giannoccaro; Aime Lay-Ekuakille. An Outdoor Navigation System for Blind Pedestrians Using GPS and Tactile-Foot Feedback. Applied Sciences 2018, 8, 578 .

AMA Style

Ramiro Velázquez, Edwige Pissaloux, Pedro Rodrigo, Miguel Carrasco, Nicola Ivan Giannoccaro, Aime Lay-Ekuakille. An Outdoor Navigation System for Blind Pedestrians Using GPS and Tactile-Foot Feedback. Applied Sciences. 2018; 8 (4):578.

Chicago/Turabian Style

Ramiro Velázquez; Edwige Pissaloux; Pedro Rodrigo; Miguel Carrasco; Nicola Ivan Giannoccaro; Aime Lay-Ekuakille. 2018. "An Outdoor Navigation System for Blind Pedestrians Using GPS and Tactile-Foot Feedback." Applied Sciences 8, no. 4: 578.

Journal article
Published: 30 March 2018 in IEEE Instrumentation & Measurement Magazine
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In this paper, we describe the construction and characterization of a low-cost ultrasonic sensing system for obstacle avoidance on a mobile robot. In some locations and in certain conditions where electronic components are not readily available and not affordable, it is more advantageous to design an obstacle sensing system with a single sensor (e.g., HC-SR04) to reduce the construction cost. We decided to use only one sensor, mounted on a servo on the front of a mobile robot that scans and detects obstacles within the interval from 15° to 165° according to our design, to allow the estimation of the distance of currently detected obstacles with the help of a fuzzy rules set. The embedded fuzzy algorithm will select what obstacles should be avoided to perform collision-free navigation. A microcontroller with an Arduino boot loader was used to perform calculations and control the sensor (HC-SR04) and actuator (SG90 mini gear). The robot has two independent wheels, driven by geared PM dc motors, via the H driver L928N. The ultrasonic sensing system accuracy can be improved by considering ambient temperature in sound speed computation.

ACS Style

Patrick Kapita Mvemba; Simon Kidiamboko Guwa Gua Band; Aimé Lay-Ekuakille; Nicola Ivan Giannoccaro. Advanced acoustic sensing system on a mobile robot: design, construction and measurements. IEEE Instrumentation & Measurement Magazine 2018, 21, 4 -9.

AMA Style

Patrick Kapita Mvemba, Simon Kidiamboko Guwa Gua Band, Aimé Lay-Ekuakille, Nicola Ivan Giannoccaro. Advanced acoustic sensing system on a mobile robot: design, construction and measurements. IEEE Instrumentation & Measurement Magazine. 2018; 21 (2):4-9.

Chicago/Turabian Style

Patrick Kapita Mvemba; Simon Kidiamboko Guwa Gua Band; Aimé Lay-Ekuakille; Nicola Ivan Giannoccaro. 2018. "Advanced acoustic sensing system on a mobile robot: design, construction and measurements." IEEE Instrumentation & Measurement Magazine 21, no. 2: 4-9.

Journal article
Published: 20 February 2018 in Journal of Robotics and Mechatronics
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This paper describes the development of a robot that can move through a forest environment and automatically generates three-dimensional (3D) digital maps. We designed and constructed the robot, equipping it with a rocker-bogie mechanism composed of six drive wheels and four steering motors. This mechanics enables the robot to move damaging a forest as little as possible while negotiating the obstacle in it. This robot is equipped with a 3D light detection and ranging sensor, and it uses the normal distributions transform algorithm to construct 3D digital maps. We tested the generation of a 3D digital map of 50 m2of a sloped forest environment and verified the generated map by comparing it with a map constructed manually by engineers. The comparison revealed an error of less than 0.15 m.

ACS Style

Masaru Morita; Takeshi Nishida; Yuta Arita; Mirei Shige-Eda; Enrico Di Maria; Roberto Gallone; Nicola Ivan Giannoccaro. Development of Robot for 3D Measurement of Forest Environment. Journal of Robotics and Mechatronics 2018, 30, 145 -154.

AMA Style

Masaru Morita, Takeshi Nishida, Yuta Arita, Mirei Shige-Eda, Enrico Di Maria, Roberto Gallone, Nicola Ivan Giannoccaro. Development of Robot for 3D Measurement of Forest Environment. Journal of Robotics and Mechatronics. 2018; 30 (1):145-154.

Chicago/Turabian Style

Masaru Morita; Takeshi Nishida; Yuta Arita; Mirei Shige-Eda; Enrico Di Maria; Roberto Gallone; Nicola Ivan Giannoccaro. 2018. "Development of Robot for 3D Measurement of Forest Environment." Journal of Robotics and Mechatronics 30, no. 1: 145-154.

Journal article
Published: 01 January 2018 in International Journal of Structural Engineering
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Inderscience Publishers: publishers of distinguished academic, scientific and professional journals.

ACS Style

Nicola Ivan Giannoccaro; Francesco Micelli; Mattia Luperto. Testing of frequencies identification techniques on a reinforced concrete building FE model. International Journal of Structural Engineering 2018, 9, 325 .

AMA Style

Nicola Ivan Giannoccaro, Francesco Micelli, Mattia Luperto. Testing of frequencies identification techniques on a reinforced concrete building FE model. International Journal of Structural Engineering. 2018; 9 (4):325.

Chicago/Turabian Style

Nicola Ivan Giannoccaro; Francesco Micelli; Mattia Luperto. 2018. "Testing of frequencies identification techniques on a reinforced concrete building FE model." International Journal of Structural Engineering 9, no. 4: 325.

Conference paper
Published: 01 December 2017 in 2017 11th Asian Control Conference (ASCC)
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The use of multi-span web transport systems often requires dedicating a particular effort for defining a control system able to protect the integrity of the web. In web handling processes there is a clear need for controlling web velocity and tension. As for any control problem, the best results are achieved when there is a clear understanding of the controlled process. Starting from a new mathematical model called Transfer Matrix Model for a more accurate description of a web transport system, an optimization study for identifying parameters of the PI controllers for a decentralized multi-input and multi-output system (MIMO) has been proposed. The possibility of using PI controllers for each section is attractive considering that an overlapping system decomposition may permit to take into account the mutual interaction of the neighbor sections reaching specified performance objectives. Finally, by using a nonlinear interpolation of the trend of a preliminary database of values obtained through genetic algorithm, a self-tuning strategy is proposed to estimate optimal PI parameters under certain conditions, avoiding the long identification process and making the system flexible and adaptive. Simulations and experimental results validate and illustrate the effectiveness and the simplicity of the proposed method by considering several different set-points.

ACS Style

Nicola Ivan Giannoccaro; Giancarlo Manieri; Paolo Martina; Tetsuzo Sakamoto. Genetic algorithm for decentralized PI controller tuning of a multi-span web transport system based on overlapping decomposition. 2017 11th Asian Control Conference (ASCC) 2017, 993 -998.

AMA Style

Nicola Ivan Giannoccaro, Giancarlo Manieri, Paolo Martina, Tetsuzo Sakamoto. Genetic algorithm for decentralized PI controller tuning of a multi-span web transport system based on overlapping decomposition. 2017 11th Asian Control Conference (ASCC). 2017; ():993-998.

Chicago/Turabian Style

Nicola Ivan Giannoccaro; Giancarlo Manieri; Paolo Martina; Tetsuzo Sakamoto. 2017. "Genetic algorithm for decentralized PI controller tuning of a multi-span web transport system based on overlapping decomposition." 2017 11th Asian Control Conference (ASCC) , no. : 993-998.

Conference paper
Published: 01 December 2017 in 2017 11th Asian Control Conference (ASCC)
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Correct modeling is necessary in order to design a better control system or to identify the plant parameters experimentally. On the web dynamics itself, lumped parameters expressions may be used to designate a web section between two adjacent drive rolls, and there is the necessity of incorporating the property of viscoelasticity to the web. Lumped model of an experimental multi-span web transport system is based on the conservation mass, torque balance and viscoelasticity. A new way for describing this kind of MIMO system has been introduced through a four by four Transfer Matrix which considers mutual interactions between inputs and outputs. Finally, comparing experimental data with Transfer Matrix parametric expressions, it has been possible to identify the system parameters and thus fully validate the effectiveness of the proposed dynamic lumped model.

ACS Style

Nicola Ivan Giannoccaro; G. Manieri; P. Martina; T. Sakamoto. Implementation and validation of a lumped model for an experimental multi-span web transport system. 2017 11th Asian Control Conference (ASCC) 2017, 1389 -1394.

AMA Style

Nicola Ivan Giannoccaro, G. Manieri, P. Martina, T. Sakamoto. Implementation and validation of a lumped model for an experimental multi-span web transport system. 2017 11th Asian Control Conference (ASCC). 2017; ():1389-1394.

Chicago/Turabian Style

Nicola Ivan Giannoccaro; G. Manieri; P. Martina; T. Sakamoto. 2017. "Implementation and validation of a lumped model for an experimental multi-span web transport system." 2017 11th Asian Control Conference (ASCC) , no. : 1389-1394.

Journal article
Published: 08 November 2017 in International Journal of Safety and Security Engineering
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The sanctuary of Santa Maria di Loreto (Mola di Bari, Italy) was built in in the sixteen century and it is constituted by a church with a simple hut...

ACS Style

Mariella Diaferio; Dora Foti; Nicola Ivan Giannoccaro; Salvador Ivorra. Model updating based on the dynamic identification of a baroque bell tower. International Journal of Safety and Security Engineering 2017, 7, 519 -531.

AMA Style

Mariella Diaferio, Dora Foti, Nicola Ivan Giannoccaro, Salvador Ivorra. Model updating based on the dynamic identification of a baroque bell tower. International Journal of Safety and Security Engineering. 2017; 7 (4):519-531.

Chicago/Turabian Style

Mariella Diaferio; Dora Foti; Nicola Ivan Giannoccaro; Salvador Ivorra. 2017. "Model updating based on the dynamic identification of a baroque bell tower." International Journal of Safety and Security Engineering 7, no. 4: 519-531.