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Time Trends in Physical Activity Using Wearable Devices: A Systematic Review and Meta-analysis of Studies from 1995 to 2017
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In: UNF Faculty Publications (2022)
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Les mesures de pression
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In: La voix : anatomie, physiologie et explorations ; https://hal.archives-ouvertes.fr/hal-03383741 ; A. Giovanni. La voix : anatomie, physiologie et explorations, deboeck supérieur, pp.172-179, 2021, 978-2-807-32492-3 (2021)
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Les mesures de débit d'air
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In: La voix : anatomie, physiologie et explorations ; https://hal.archives-ouvertes.fr/hal-03383738 ; A. Giovanni. La voix : anatomie, physiologie et explorations, deboeck supérieur, pp.159-171, 2021, 978-2-807-32492-3 (2021)
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Characterization of 128x128 MM-PAD-2.1 ASIC: A Fast Framing Hard X-Ray Detector with High Dynamic Range ...
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A DMAIC integrated fuzzy FMEA model: A case study in the automotive industry
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Abstract:
The growing competitiveness in the automotive industry and the strict standards to which it is subject, require high quality standards. For this, quality tools such as the failure mode and effects analysis (FMEA) are applied to quantify the risk of potential failure modes. However, for qualitative defects with subjectivity and associated uncertainty, and the lack of specialized technicians, it revealed the inefficiency of the visual inspection process, as well as the limitations of the FMEA that is applied to it. The fuzzy set theory allows dealing with the uncertainty and subjectivity of linguistic terms and, together with the expert systems, allows modeling of the knowledge involved in tasks that require human expertise. In response to the limitations of FMEA, a fuzzy FMEA system was proposed. Integrated in the design, measure, analyze, improve and control (DMAIC) cycle, the proposed system allows the representation of expert knowledge and improves the analysis of subjective failures, hardly detected by visual inspection, compared to FMEA. The fuzzy FMEA system was tested in a real case study at an industrial manufacturing unit. The identified potential failure modes were analyzed and a fuzzy risk priority number (RPN) resulted, which was compared with the classic RPN. The main results revealed several differences between both. The main differences between fuzzy FMEA and classical FMEA come from the non-linear relationship between the variables and in the attribution of an RPN classification that assigns linguistic terms to the results, thus allowing a strengthening of the decision-making regarding the mitigation actions of the most “important” failure modes. ; publishersversion ; published
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Keyword:
Automotive industry; Computer Science Applications; DMAIC; Engineering(all); Fluid Flow and Transfer Processes; FMEA; Fuzzy FMEA; Instrumentation; Materials Science(all); Potential failure; Process Chemistry and Technology
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URL: https://doi.org/10.3390/app11083726 http://hdl.handle.net/10362/123281
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A multispeaker dataset of raw and reconstructed speech production real-time MRI video and 3D volumetric images ...
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A multispeaker dataset of raw and reconstructed speech production real-time MRI video and 3D volumetric images ...
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Semantic (Orbital) Sweep - Knowledge modeling and Semantic technology to clean Earth orbit and make spaceflight safer ...
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Semantic (Orbital) Sweep - Knowledge modeling and Semantic technology to clean Earth orbit and make spaceflight safer ...
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A model for ITIS project portfolio selection in the presence of uncertainty Combination of fuzzy multi-criteria decision making and fuzzy mathematical programming ...
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A model for ITIS project portfolio selection in the presence of uncertainty Combination of fuzzy multi-criteria decision making and fuzzy mathematical programming ...
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Results of experimental researches of reinforced concrete retaining walls
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In: Structural Mechanics of Engineering Constructions and Buildings, Vol 16, Iss 2, Pp 152-160 (2020) (2020)
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Understanding the global dynamics of the equatorial ionosphere in Africa for space weather capabilities: A science case for AfrequaMARN
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Speaker identification using multi-modal i-vector approach for varying length speech in voice interactive systems
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Student perceptions of two simulated learning environments in paediatric audiology
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Experimental studies of reinforced concrete structures of hydraulic structures strengthened with composite materials
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In: Structural Mechanics of Engineering Constructions and Buildings, Vol 15, Iss 3, Pp 237-242 (2019) (2019)
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Automatic Bowel Motility Evaluation Technique for Noncontact Sound Recordings
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In: Applied Sciences ; Volume 8 ; Issue 6 (2018)
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Intrinsic scatter of caustic masses and hydrostatic bias: An observational study ...
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Building a Disciplinary, World-Wide Data Infrastructure ...
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