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Pasquale Arpaia
Researcher at University of Naples Federico II
Publications - 346
Citations - 2975
Pasquale Arpaia is an academic researcher from University of Naples Federico II. The author has contributed to research in topics: Computer science & Magnet. The author has an hindex of 24, co-authored 295 publications receiving 2199 citations. Previous affiliations of Pasquale Arpaia include CERN & Technical University of Lisbon.
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A measurement laboratory on geographic network for remote test experiments
TL;DR: The remote laboratory concept allows measuring resources spread on different geographically remote sites to be utilized by a wide deal of students and can be economically offered by several geographically remote laboratories specialized in different measuring fields.
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A Wearable Brain–Computer Interface Instrument for Augmented Reality-Based Inspection in Industry 4.0
TL;DR: This paper proposes a wearable monitoring system for inspection in the framework of Industry 4.0 that integrates augmented reality glasses with a noninvasive single-channel brain–computer interface (BCI), which replaces the classical input interface of AR platforms.
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Influence of the architecture on ADC error modeling
TL;DR: The effects of main error sources are analyzed in terms of integral and differential nonlinearity with the aim of setting up a unified error model, useful both to economically generate a look-up table for error correction and to quickly produce diagnosis models for fault detection and isolation.
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A Wearable EEG Instrument for Real-Time Frontal Asymmetry Monitoring in Worker Stress Analysis
TL;DR: The single-channel differential measurement aims at analyzing the frontal asymmetry, a well-claimed EEG feature for stress assessment, and was characterized metrologically on human subjects.
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ANN-based error reduction for experimentally modeled sensors
TL;DR: Experimental results of the correction of an eddy-current displacement transducer subject to the combined interference of structural and geometrical parameters highlight the practical effectiveness of the proposed method.