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Valentinus Galih Vidia Putra

Publications and source records attributed to Valentinus Galih Vidia Putra.

6 recordsLinked to original sources

A New Prediction of Daily Number of New Cases and Total Number Infected for nCOVID-19 Plague Infections In Indonesia with the Modification of the Bernoulli Differential Equation

The application of differential equations is commonly used in mathematics and physics, as well as various other sciences to explain a phenomenon in a system. This paper explains the mathematical modeling in the analysis of the nCOVID-19 plague in Indonesia on March 3, 2020, to April 19, 2020, with the modification of the Bernoulli equation and the simulation by MATLAB. In this study, it can be concluded that it was found that the daily number of nCOVID-19 cases in Indonesia will have the highest case at a maximum of around 400 and the total number of positive nCOVID-19 in Indonesia will reach 12000 people with a quiet period in mid-June. In this modeling, it has also been found that the value of R2 = 0.9927 on the total number of positive nCOVID-19 in Indonesia taken from 3 March 2020 to 19 April 2020, while the value of R2 = 0.807 daily number of positive new cases of nCOVID-19 in Indonesia taken from March 3, 2020, to April 19, 2020. Based on this research, it can be shown that the nCOVID-19 model for a case in the Indonesia plague is quite accurately compared by the real data.

q-bio.PE↗

Implementation Of Digital Image Processing And Computation Technology On Measurement And Testing Of Various Knit Fabric Parameters

One of the big challenges of the industry today is how to produce quality products, one of which is in the knit fabric industry. The improvement of the evaluation and quality control processes of non woven production has been widely developed to support the improvement of the quality of production. The use of information and computational technology is now widely applied to the quality control process of textile material production, one of which is the use of image processing technology in the evaluation process of knit fabric. This chapter will explain various methods of applying image processing technology in the field of evaluation and quality control of textile production.

eess.IV↗

Implementation Of Image Analysis Techniques For Various Textile Identification

Computer image analysis techniques used to identify textile products are presented in this chapter, together with a brief review of the historical development of the method. Automatic and semi-automatic image correction methods are described, which are often used for identification of textile yarn products, and can also be used to identify various textile indentification. Keywords: digital image acquirement, image modeling, image quality improvement, image correction methods, median filtration, Laplace filter, threshold function, autocorrelation, Fourier transform, erosion, dilatation, digitalisation algorithm

eess.IV↗

Implementation of Digital Image Processing and Computation Technology on Measurement and Testing of Various Yarn Parameters

Along with the development of science and technology, the application of various computational processes in the field of science engineering is something that is being developed, even today. Currently, many studies have applied image analysis technology to the field of textile evaluation and identification, one of which is yarn. Computer image analysis techniques can be used to identify textile products, especially textile products in the form of yarn. This chapter has reviewed various methods and application of image processing technology in the field of identification and evaluation of various thread parameters, together with a brief review of historical developments, as well as the need for the application of these methods. Keywords: yarn, digital image processing, evaluation and identification, textiles.

eess.IV↗

Implementation of Digital Image Processing and Computation Technology on Measurement and Testing of Non Woven Fabric Parameters

One of the big challenges of the industry today is how to produce quality products, one of which is in the non-woven industry. The improvement of the evaluation and quality control processes of non woven production has been widely developed to support the improvement of the quality of production. The use of information and computational technology has now been widely applied to the quality control process of textile material production, one of which is the use of image processing technology in the evaluation process of non-woven materials. This paper will explain various methods of applying image processing technology in the field of evaluation and quality control of textile production. Keywords: textile fiber, image processing, textile evaluation.

eess.IV↗

Implementation of Digital Image Processing and Computation Technology on Measurement and Testing of Various Woven Fabric Parameters

Quality is one of the important things to be maintained in a weaving industry. Along with the times, technological developments in the field of image processing and computing have changed the old method of visual evaluation of woven fabric to be better. This chapter will explain the implementation of image and computational processing techniques on woven fabric. Keywords: woven fabric, digital image processing.

eess.IV↗