Fuzzy-assisted ultrafiltration of whey by-products recovery

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

doi:10.1007/s41207-019-0138-5

Cited by 7 publications

(4 citation statements)

References 30 publications

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“…Another illustration of these novel technologies involves harnessing whey sourced from butter and cheese to enhance ice cream production, heralding a high-tech, high-nutrition, environmentally conscious, and socioeconomically impactful alternative [ 52 ]. Further exemplifying this is the ultrafiltration of whey protein and lactose [ 64 ]. These instances underscore the emergence of enhanced and economically viable separation and purification technologies for whey proteins, alongside the continued exploration of new sources.…”

Section: Resultsmentioning

confidence: 99%

A Literature Database Review of the Competitive Factors That Influence the Production and Use of Whey in the Brazilian Dairy Industry

Schaefer,

Etges,

Schaefer

2023

Foods

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The consumption of milk and derivatives is part of the diet of a large part of the population. The substantial demand for dairy products has prompted the industry to expand its product range by incorporating whey, a previously disregarded by-product, as a significant ingredient. Consequently, the application of whey within the dairy sector has escalated, fostering novel food trends driven by market, nutritional, technical, environmental, and economic considerations. In this context, the primary objective of this research was to identify, categorise, and analyse the competitive factors influencing the production and use of whey within the dairy products industry and to correlate these factors with Brazil’s economic, food, and nutritional landscape. A comprehensive literature review encompassing 41 articles and scientific documents sourced from PubMed, Scopus, and SciELO databases and supplementary research was undertaken to pinpoint these factors. A total of seventeen competitive factors that exert influence over the production and use of whey within the dairy industry were identified. These seventeen factors were systematically classified and modelled into a hierarchical decision tree structure. A meticulous analysis of these factors revealed a spectrum of strengths, weaknesses, opportunities, and threats associated with this sector, considering the Brazilian nutritional, food, and economic context. This research will help elaborate healthy strategies for developing new products with whey in the composition and maintaining the nutritional quality for the consumer. In addition, the research can help companies manage their operations, which can be directed towards improving their performance in the factors discussed in this research, with reflections and impacts on competitiveness in nutritional, environmental, economic, technological, and organisational dimensions.

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Section: Resultsmentioning

confidence: 99%

A Literature Database Review of the Competitive Factors That Influence the Production and Use of Whey in the Brazilian Dairy Industry

Schaefer,

Etges,

Schaefer

2023

Foods

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“…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

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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.

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“…The effectiveness of these systems depends on the driver acceptance of these technologies, understanding of the system information, and adequate reaction [30][31][32]. On the basis of observations reported by testers and owners of vehicles equipped with such systems, critical issues have been found in performing some maneuvers, related to negligence or low reaction times required [33][34][35].…”

Section: The Criticalities Studymentioning

confidence: 99%

Development and Testing of a Methodology for the Assessment of Acceptability of LKA Systems

et al. 2020

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In recent years, driving simulators have been widely used by automotive manufacturers and researchers in human-in-the-loop experiments, because they can reduce time and prototyping costs, and provide unlimited parametrization, more safety, and higher repeatability. Simulators play an important role in studies about driver behavior in operating conditions or with unstable vehicles. The aim of the research is to study the effects that the force feedback (f.f.b.), provided to steering wheel by a lane-keeping-assist (LKA) system, has on a driver’s response in simulators. The steering’s force feedback system is tested by reproducing the conditions of criticality of the LKA system in order to minimize the distance required to recover the driving stability as a function of set f.f.b. intensity and speed. The results, obtained in three specific criticality conditions, show that the behaviour of the LKA system, reproduced in the simulator, is not immediately understood by the driver and, sometimes, it is in opposition with the interventions performed by the driver to ensure driving safety. The results also compare the performance of the subjects, either overall and classified into subgroups, with reference to the perception of the LKA system, evaluated by means of a questionnaire. The proposed experimental methodology is to be regarded as a contribution for the integration of acceptance tests in the evaluation of automation systems.

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Fuzzy-assisted ultrafiltration of whey by-products recovery

Cited by 7 publications

References 30 publications

A Literature Database Review of the Competitive Factors That Influence the Production and Use of Whey in the Brazilian Dairy Industry

A Literature Database Review of the Competitive Factors That Influence the Production and Use of Whey in the Brazilian Dairy Industry

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

Development and Testing of a Methodology for the Assessment of Acceptability of LKA Systems

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