2020
DOI: 10.30684/etj.v38i6a.905
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Process Capability Analysis to Assess Capacity of a Cleaning Liquid Product with Asymmetric Tolerances

Abstract: Process capability indices are a powerful tool used by quality control engineering to measure the degree to which the process is or is not meeting the requirements. This paper studies the application of process capability indices in the evaluation of a process with asymmetric tolerances. The analyzed collected data of the cleaning liquid “Zahi”, was used to investigate the ability of the filling process to meet the requested specifications. Matlab software was used to plot control charts, normal probability, a… Show more

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“…The need for deep learning accuracy was required around the world during the period in which the corona virus spread, so that the diagnosis could be made quickly without delay, and the diagnosis of pneumonia with an accuracy of 97.5%, which is considered a good percentage and when the term pandemic was announced in 2020, the test was called (RT-PCR) to diagnose the virus [6], [7]. Asma and Fouad they worked extensively in the field of deep learning by using networks CNN GoogleNet, AlexNet to recognize the face and know facial feelings with the help of discrete wavelets DWTCNN and improve images in addition to watermarks and image processing with DCHWT [8]- [18]. A lot of work in 2020 and after that, the deep learning process took place in two stages, which is the pre-processing to prepare the image for deep learning in terms of removing noise and compressing the image to reduce the space occupied by the image data, depending on the discrete wavelets and the second stage is connecting the wavelets to the convolutional neural network, which it leads to obtaining accurate results because through it or in the preliminary stage, image quality standards are measured [19]- [27].…”
Section: Introductionmentioning
confidence: 99%
“…The need for deep learning accuracy was required around the world during the period in which the corona virus spread, so that the diagnosis could be made quickly without delay, and the diagnosis of pneumonia with an accuracy of 97.5%, which is considered a good percentage and when the term pandemic was announced in 2020, the test was called (RT-PCR) to diagnose the virus [6], [7]. Asma and Fouad they worked extensively in the field of deep learning by using networks CNN GoogleNet, AlexNet to recognize the face and know facial feelings with the help of discrete wavelets DWTCNN and improve images in addition to watermarks and image processing with DCHWT [8]- [18]. A lot of work in 2020 and after that, the deep learning process took place in two stages, which is the pre-processing to prepare the image for deep learning in terms of removing noise and compressing the image to reduce the space occupied by the image data, depending on the discrete wavelets and the second stage is connecting the wavelets to the convolutional neural network, which it leads to obtaining accurate results because through it or in the preliminary stage, image quality standards are measured [19]- [27].…”
Section: Introductionmentioning
confidence: 99%
“…Wavelets have a great role in image processing through computer vision [1]- [4], such as compression [5]- [8], noise reduction, and image retrieval without losing the original image qualities [9]- [12]. This helped to identify faces and engineering and scientific applications because they are characterized by very important features which are the frequencies and time-dependent [13]- [15].…”
Section: Introductionmentioning
confidence: 99%