Personal information

Other IDs

Scopus Author ID: 58046220500
ResearcherID: HOH-8054-2023
SciProfiles: 2934134

Keywords

Aerospace, Lipo battery, Capacitive Level Sensor, Sensor

Countries

Italy

Activities

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Employment (1)

Polytechnic University of Bari: Bari, IT

2022-11-01 to 2025-10-31 | Ph.D. student (Department of Electric and Information Engineering)
Employment
Source: Self-asserted source
Daniel Lotano

Education and qualifications (3)

Polytechnic University of Bari: Bari, IT

2022-11-01 to 2025 | Ph.D. student (Department of Mechanics, Mathematics and Management)
Education
Source: Self-asserted source
Daniel Lotano

Polytechnic University of Bari: Bari, IT

2018 to 2022-02-23 | Master's degree in Automation Engineering (Department of Electric and Information Engineering)
Education
Source: Self-asserted source
Daniel Lotano

Polytechnic University of Bari: Bari, IT

2014 to 2018 | Bachelor's degree in Automation and Information Technologies Engineering (Department of Electric and Information Engineering)
Education
Source: Self-asserted source
Daniel Lotano

Works (7)

Performances evaluation and characterization of a novel design of capacitive sensors for in-flight oil-level monitoring aboard helicopters

Measurement
2024-01 | Journal article
DOI: 10.1016/j.measurement.2023.113813
Contributors: Attilio Di Nisio; Gregorio Andria; Francesco Adamo; Daniel Lotano; Filippo Attivissimo
Source: check_circle
Crossref

U-Net Convolutional Neural Network for Optic Disc Segmentation

2023 IEEE International Conference on Metrology for eXtended Reality, Artificial Intelligence and Neural Engineering (MetroXRAINE)
2023-10-25 | Conference paper
DOI: 10.1109/metroxraine58569.2023.10405762
Contributors: Vito Ivano D'Alessandro; Francesco Adamo; Luisa De Palma; Daniel Lotano; Marco Scarpetta
Source: Self-asserted source
Daniel Lotano

Battery Testing and Discharge Model Validation for Electric Unmanned Aerial Vehicles (UAV)

Sensors
2023-08-04 | Journal article
DOI: 10.3390/s23156937
Contributors: Attilio Di Nisio; Giulio Avanzini; Daniel Lotano; Donato Stigliano; Anna M. L. Lanzolla
Source: check_circle
Crossref
grade
Preferred source (of 2)‎

Characterization of Innovative Oil Level Sensors for Aerospace Applications

2023 IEEE 10th International Workshop on Metrology for AeroSpace (MetroAeroSpace)
2023-06-19 | Conference paper
DOI: 10.1109/metroaerospace57412.2023.10190007
Contributors: Francesco Adamo; Gregorio Andria; Filippo Attivissimo; Attilio Di Nisio; Luisa De Palma; Daniel Lotano
Source: Self-asserted source
Daniel Lotano

First experimental tests on the prototype of a capacitive oil level sensor for aeronautical applications

Acta IMEKO
2023-02-28 | Journal article
DOI: 10.21014/actaimeko.v12i1.1474
Contributors: Filippo Attivissimo; Francesco Adamo; Luisa De Palma; Daniel Lotano; Attilio Di Nisio
Source: check_circle
Crossref

A design strategy for performance improvement of capacitive sensors for in-flight oil-level monitoring aboard helicopters

Measurement
2023-01 | Journal article
DOI: 10.1016/j.measurement.2023.112476
Part of ISSN: 0263-2241
Contributors: Francesco Adamo; Filippo Attivissimo; Sergio de Gioia; Daniel Lotano; Attilio Di Nisio
Source: Self-asserted source
Daniel Lotano

Development and Prototyping of a Capacitive Oil Level Sensor for Aeronautical Applications

25th IMEKO TC-4 International Symposium on Measurement of Electrical Quantities, IMEKO TC-4 2022 and 23rd International Workshop on ADC and DAC Modelling and Testing, IWADC 2022
2022 | Conference paper
EID:

2-s2.0-85145883370
Contributors: Adamo, F.; Attivissimo, F.; de Gioia, S.; Di Nisio, A.; Lotano, D.; Savino, M.
Source: Self-asserted source
Daniel Lotano via Scopus - Elsevier
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