scholarly journals Theoretical and experimental analysis of the process of discretization of cotton fiber in OE spinning

2021 ◽  
Vol 304 ◽  
pp. 03032
Author(s):  
Kamol Akhmedov ◽  
Saypila Matismailov ◽  
Botir Mardonov ◽  
Alisher Yuldashev
Keyword(s):  
Experimental Analysis ◽  
Cotton Fiber ◽  
Regression Equation ◽  
Planning Method ◽  
Mathematical Planning ◽  
Yarn Quality ◽  
Optimal Values

This article examines the influence of the parameters of the coating teeth of the discrete drum on the quality of the OE yarn. Based on the analysis of the conditions for retention of fibers by the covering teeth of the discrete drum, equations were obtained to determine the angle of inclination of the teeth. To determine the effect of the coating parameters of the discrete drum teeth on yarn quality, experiments were performed using the Full Factor Experiments mathematical planning method, and a regression equation was obtained for each variable. As a result, the optimal values of the discretization drum coating teeth of the OE spinning machine were determined.

scholarly journals Study of the influence of cotton fiber indicators on yarn quality

2021 ◽  
Vol 304 ◽  
pp. 03036
Author(s):  
Umida Yusupalieva ◽  
Saypila Matismailov ◽  
Alisher Yuldashev
Keyword(s):  
Tensile Strength ◽  
Coefficient Of Variation ◽  
Cotton Fiber ◽  
Fiber Length ◽  
Optimal Parameter ◽  
Regression Equation ◽  
Mathematical Planning ◽  
Fiber Properties ◽  
Yarn Quality ◽  
The Relationship

In order to determine the relationship between the fiber properties of the yarn quality in the article, experiments were conducted using a passive method of mathematical planning and a regression equation was obtained for each optimal parameter. Based on the experiments, it was found that a decrease in fiber micronaire, an increase in tensile strength, fiber length and uniformity, leads to an increase in the specific tensile strength of yarn, a decrease in the coefficient of variation in tensile strength and the number of breaks in the yarn.

The Spinning Quality Control Management Based on Decision Making by Data Mining Techniques

2018 ◽  
Vol 7 (1) ◽  
pp. 72
Author(s):  
Khalid AA Abakar ◽  
Chongwen Yu
Keyword(s):  
Data Mining ◽  
Kernel Functions ◽  
Support Vector ◽  
Ann Model ◽  
Data Mining Techniques ◽  
Yarn Quality ◽  
Yarn Properties ◽  
Svm Model ◽  
Rbf Kernel

This work demonstrated the possibility of using the data mining techniques such as artificial neural networks (ANN) and support vector machine (SVM) based model to predict the quality of the spinning yarn parameters. Three different kernel functions were used as SVM kernel functions which are Polynomial and Radial Basis Function (RBF) and Pearson VII Function-based Universal Kernel (PUK) and ANN model were used as data mining techniques to predict yarn properties. In this paper, it was found that the SVM model based on Person VII kernel function (PUK) have the same performance in prediction of spinning yarn quality in comparison with SVM based RBF kernel. The comparison with the ANN model showed that the two SVM models give a better prediction performance than an ANN model.

MULTISTAGE MICROSTRIP UHF LOAD

2018 ◽  
pp. 53-57 ◽  
Author(s):  
G. G. Savenkov ◽  
V. P. Razinkin ◽  
A. D. Mekhtiev
Keyword(s):  
Frequency Response ◽  
Frequency Band ◽  
High Power ◽  
Two Stage ◽  
High Power Microwave ◽  
Modelling Method ◽  
Optimal Values ◽  
Inductive Elements ◽  
Power Microwave

Applications of modern terminal loads and its relevant disadvantages are described in this paper. The decomposing method of wideband microwave high power microstrip loads design is proposed in this paper with purpose of matching quality improving. Multiple extension of multistage load bandwidth is provided by using of external matching circuit and internal matching inductive elements. The maximum reachable bandwidth of multistage load is estimated and optimal values of mathing circuit elements are founded on basis of equivalent lumped scheme. The topology of microstrip two-stage high power microwave load is developed and its frequency response, calculated via numeric electrodynamic modelling method is outlined in the paper. Modelling results show good matching quality of considered load at the frequency band below 3,5 GHz.

ENHANCEMENT OF SCREEN FILM MAMMOGRAM UP TO A LEVEL OF DIGITAL MAMMOGRAM: EXPERIMENTAL ANALYSIS

2013 ◽  
Vol 13 (02) ◽  
pp. 1340004
Author(s):  
APARNA NARENDRA BHALE ◽  
MANISH RATNAKAR JOSHI
Keyword(s):  
Experimental Analysis ◽  
Breast Imaging ◽  
Point Of View ◽  
Quality Analysis ◽  
Digital Mammogram ◽  
Total Recovery ◽  
Clinical Observations ◽  
Opinion Score ◽  
Better Than

Breast cancer is one of the major causes of death among women. If a cancer can be detected early, the options of treatment and the chances of total recovery will increase. From a woman's point of view, the procedure practiced (compression of breasts to record an image) to obtain a digital mammogram (DM) is exactly the same that is used to obtain a screen film mammogram (SFM). The quality of DM is undoubtedly better than SFM. However, obtaining DM is costlier and very few institutions can afford DM machines. According to the National Cancer Institute 92% of breast imaging centers in India do not have digital mammography machines and they depend on the conventional SFM. Hence in this context, one should answer "Can SFM be enhanced up to a level of DM?" In this paper, we discuss our experimental analysis in this regard. We applied elementary image enhancement techniques to obtain enhanced SFM. We performed the quality analysis of DM and enhanced SFM using standard metrics like PSNR and RMSE on more than 350 mammograms. We also used mean opinion score (MOS) analysis to evaluate enhanced SFMs. The results showed that the clarity of processed SFM is as good as DM. Furthermore, we analyzed the extent of radiation exposed during SFM and DM. We presented our literally findings and clinical observations.

APPLICATION OF THE PUMPKIN POMACE POWDER IN ENRICHED CRACKER TECHNOLOGY

2019 ◽  
Author(s):  
Н.М. ДЕРКАНОСОВА ◽  
И.И. ЗАЙЦЕВА ◽  
А.А. ЕМЕЛЬЯНОВ ◽  
Т.В. ПОНОМАРЕВА ◽  
А.А. СТАХУРЛОВА ◽  
...  
Keyword(s):  
Dietary Fiber ◽  
Optimization Method ◽  
Mathematical Planning ◽  
Chemical Indicators ◽  
Organoleptic Characteristics ◽  
Autolytic Activity ◽  
Physical And Chemical ◽  
Interstate Standard ◽  
Β Carotene

Рассмотрены аспекты применения вторичного продукта сокового производства – выжимок из тыквы, полученных конвективным вакуумным высушиванием при температуре, не превышающей 50°С, в качестве обогащающего пищевыми волокнами сырьевого ингредиента рецептуры крекера. Дана характеристика высушенных выжимок из тыквы сорта Мускатная. Приведены результаты исследования влияния порошка из выжимок тыквы дисперсностью от 63 до 125 мкм на хлебопекарные свойства муки – количество и качество клейковины, автолитическую активность. Обоснование рецептуры крекера с повышенным содержанием пищевых волокон и β-каротина проведено методом математического планирования – полный факторный эксперимент 22 с последующей оптимизацией методом ридж-анализа. Разработана производственная рецептура. Апробация разработанной рецептуры показала, что крекер с выжимками из тыквы в количестве 11,34 г/100 г муки имеет отличительные органолептические характеристики, обусловленные привкусом и ароматом тыквы, по физико-химическим показателям соответствует требованиям межгосударственного стандарта, по составу, г/100 г, пищевых волокон (3,4) и β-каротина (2,9) может быть отнесен к продукту – источнику пищевых волокон с высоким содержанием β-каротина. The aspects of the use of the secondary product of juice production – pumpkin pomace obtained by convection vacuum drying at a temperature not exceeding 50°C, as an enriching raw ingredient of the cracker formulation with food fibers are considered. The characteristics of dried pumpkin pomace of Muscatnaya variety are given. The results of the study of the influence of pumpkin pomace powder dispersion from 63 to 125 microns on the baking properties of flour – the quantity and quality of gluten, autolytic activity are adduced. The substantiation of the cracker formulation with high content of dietary fibers and β-carotene was carried out by the method of mathematical planning – a complete factorial experiment 22 with subsequent optimization method by ridge analysis. The production formulation is developed. Approbation of the developed formulation showed that the cracker with pumpkin extracts – 11,34 g/100 g of flour has distinctive organoleptic characteristics due to the taste and aroma of pumpkin, on physical and chemical indicators meets the requirements of the interstate standard, by composition, g/100 g, dietary fiber (3,4) and β-carotene (2,9) can be attributed to the product – a source of dietary fiber with a high content of β-carotene.

scholarly journals Quality yarn index using AHP and Fuzzy method

2020 ◽  
Vol 71 (05) ◽  
pp. 487-491
Author(s):  
MOHAMED BEN HASSEN ◽  
MOHAMED TAHER HALIM ◽  
EMAD ABUALSAUOD ◽  
ASEM OTHMAN
Keyword(s):  
Fuzzy Theory ◽  
Relative Importance ◽  
Analytic Hierarchy ◽  
Yarn Quality ◽  
Multicriteria Problem ◽  
Global Quality ◽  
Matrix Coefficients ◽  
Mechanical And Physical Properties ◽  
Hierarchy Process

The yarn quality depends on many parameters: characteristics parameters, mechanical and physical properties. Making the hypothesis that the quality of the yarn is a multicriteria problem, in this paper, we propose a new method to determine the Quality Yarn Index QYI based on Analytic Hierarchy Process AHP and Fuzzy theory. A questionnaire was designed for experts of each field (weaving and knitting) to evaluate the relative importance for each property to determine coefficients of the AHP matrix. Results revealed that matrix coefficients changed with yarn application (weft or warp weaving and knitting) The QYI can be used in any application, where a rapid decision is needed, to evaluate the global quality of yarn and to make a comparison between different yarn qualities

scholarly journals Pengaruh Kreativitas Periklanan Terhadap Keputusan Pembelian pada Konsumen Starbucks Coffee di Bandara Internasional Sultan Hasanuddin Makassar

2021 ◽  
Vol 3 (2) ◽  
pp. 1-11
Author(s):  
Wendy Wendy Souisa
Keyword(s):  
Regression Equation ◽  
Purchase Decisions ◽  
Purchasing Decisions ◽  
International Airport ◽  
Consumer Assessment

This study aims to determine the effect of attention, interest, desire and action advertising variables on consumer purchasing decisions for Starbucks Coffee at Sultan Hasanuddin International Airport Makassar. From this study, it was found that there was a significant effect of attention, interest, desire and action advertising variables on consumer purchasing decisions for Starbucks Coffee at Sultan Hasanuddin International Airport Makassar, and the regression equation was obtained: Y = 4,475 + 0,439 (X1) + 0,185 (X2) + 0,409 (X3) + 0,134 (X4). From the equation above, it can be seen that the attention variable has a greater influence when compared to other variables. The importance of consumer assessment of product purchase decisions through advertising must be a concern for the company, therefore it is necessary to further improve the creativity and quality of advertising messages in an effort to obtain good ratings from consumers.

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