Fuzzy-Assisted Ultrafiltration of Wastewater from Milk Industries

Villecco, Francesco; Aquino, Rita Patrizia; Calabrò, Vincenza; Corrente, Maria Ida; Grasso, Antonio; Naddeo, Vincenzo

doi:10.1007/978-3-030-13068-8_59

Cited by 32 publications

(2 citation statements)

References 8 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…We used a universal model for the detection of sleepiness that did not take into account the individuality of the driver and that was able to provide a real-time assessment free from the need to previously acquire an identification model of sleep and wakefulness states for comparative purposes [ 51 , 52 ].…”

Section: Methodsmentioning

confidence: 99%

On-Road Detection of Driver Fatigue and Drowsiness during Medium-Distance Journeys

Salvati

D’Amore

Fiorentino

et al. 2021

Entropy

Self Cite

View full text Add to dashboard Cite

Background: The detection of driver fatigue as a cause of sleepiness is a key technology capable of preventing fatal accidents. This research uses a fatigue-related sleepiness detection algorithm based on the analysis of the pulse rate variability generated by the heartbeat and validates the proposed method by comparing it with an objective indicator of sleepiness (PERCLOS). Methods: changes in alert conditions affect the autonomic nervous system (ANS) and therefore heart rate variability (HRV), modulated in the form of a wave and monitored to detect long-term changes in the driver’s condition using real-time control. Results: the performance of the algorithm was evaluated through an experiment carried out in a road vehicle. In this experiment, data was recorded by three participants during different driving sessions and their conditions of fatigue and sleepiness were documented on both a subjective and objective basis. The validation of the results through PERCLOS showed a 63% adherence to the experimental findings. Conclusions: the present study confirms the possibility of continuously monitoring the driver’s status through the detection of the activation/deactivation states of the ANS based on HRV. The proposed method can help prevent accidents caused by drowsiness while driving.

show abstract

Section: Methodsmentioning

confidence: 99%

On-Road Detection of Driver Fatigue and Drowsiness during Medium-Distance Journeys

Salvati

D’Amore

Fiorentino

et al. 2021

Entropy

Self Cite

View full text Add to dashboard Cite

show abstract

“…There are several types of control, the most used consists of using a proportional derivative controller, which is also considered for the development of the robotic arm presented in the following paper [17,18]. Other control techniques have been proposed in the literature [19,20]. The one that most closely resembles the one previously mentioned is the design of a PID (Proportional Integrated Derivative) controller with fuzzy logic [21,22].…”

Section: Background Informationmentioning

confidence: 99%

Modeling an Industrial Robotic Manipulator in the Electromechanical Domain

Maria Pappalardo,

Guida

2023

View full text Add to dashboard Cite

In this work, a prototype of a robotic manipulator is developed and its dynamic analysis is per- formed. The system under study was analyzed in a multi-domain environment using two MATLAB tool- boxes, that is, Simscape Multibody and Simscape Electrical. By doing so, an accurate electromechanical model was constructed in this paper. Subsequently, a nonlinear controller was designed for the trajectory tracking of the end effector of the robotic manipulator. The control architecture employed in this work is a Proportional-Derivative (PD) control scheme, which is widely used in industrial applications. The nu- merical results presented in the paper demonstrate the effectiveness of the methodology followed in this investigation.

show abstract