EMPIRICAL COMPARISON OF THE IN SITU METHODS FOR DETERMINING SOUND POWER OF TYPICAL EMBROIDERY MACHINE LOCATED IN INDUSTRIAL WORKROOM

Empirical Comparison of the In Situ Methods for Determining Sound Power of Typical Embroidery Machine Located in Industrial Workroom

Sound power is considered as an excellent measure for evaluating the efficiency of noise controls as well as for comparing noise sources in workrooms.This parameter can be determined by sound pressure or intensity based methods in real conditions of workrooms.This paper aims empirically to compare these in situ methods in relation to a typical indu

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Optimizing milk-run system and IT-based Kanban with artificial intelligence: an empirical study on multi-lines assembly shop floor

ABSTRACTIn this research, a dynamic optimization of milk-run system (MRS) managed with an IT-based Kanban (ITK) is performed.The main tasks are to i) explore how artificial intelligence may allow MRS to choose the most efficient path and ii) measure the impact on the main production parameters.The study explores the Kanban signals activating an ant

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CustodyBlock: A Distributed Chain of Custody Evidence Framework

With the increasing number of cybercrimes, the digital forensics team has no choice but to implement more robust and resilient evidence-handling mechanisms.The capturing of digital evidence, which is a tangible and probative piece of information that can be presented in court and used in trial, is very challenging due to LIME its volatility and imp

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Feasibility and acceptability of electronic administration of patient reported outcomes using mHealth platform in emergency department patients with non-medical opioid use

Abstract Background The emergency department (ED) offers an important opportunity to identify patients with opioid use disorder (OUD) and initiate treatment.However, post-ED follow-up is challenging, and novel approaches to enhance care transitions are urgently needed.Outcomes following ED visits have traditionally focused on overdose, treatment en

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