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Register a new userPractical Study For Syrian Cotton Classification System
دراسة عملية لنظام تصنيف القطن السوري
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تعتبر طريقة تصنيف الأقطان من الأسباب الرئيسية التي تؤثر على مستوى جودة الغزول القطنية المنتجة، لذلك تم في هذا البحث دراسة ظاهرة ارتفاع نسبة النبس و دراسة رتب الأقطان المحلية المدونة على البالات و التحقق من صحة و دقة التصنيف المحلي كما تم دراسة إمكانية تطبيق علاقة سولفيوف محلياً و ذلك من خلال إجراء عدة اختبارات على عينات مأخوذة من بالات من إرساليات و محالج متنوعة .
The Cotton classification system is considered one of the most important factors that has an effect on produced cotton yarns quality, so we - in this research – have studied these items : the increased neps percentage phenomenon (state). the cotton grades which recorded on the cotton bales. Detection of local cotton classification system accuracy and efficiency. study of the possibility of application SOLVIOV equation on Syrian cotton classification has been done certain tests on cotton samples which have been taken from different ginning centers and different bales.
References used
د.م.قدار، طاهر، تقانت الغزول الخاصة. مقرر طلاب السنة الرابعة، جامعة دمشق، كلية الهندسة الميكانيكية و الكهربائية قسم هندسة ميكانيك الصناعات . النسيجية و تقاناتها، دمشق. 2008
د.م.قدار، طاهر، ضبط و مراقبة جودة الانتاج. مذيرية الكتب و المطبوعات، جامعة البعث، حمص، 2010
د.م. العمر، جمال، إدارة إنتاج. مقرر طلاب السنة الخامسة، جامعة دمشق، كلية الهندسة الميكانيكية و الكهربائية قسم هندسة ميكانيك الصناعات النسيجية و تقاناتها، دمشق، 2009
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The aim of this research is to study the Syrian Cotton types:Raqqa ٥, Deir
ez Zor ٢٢, Aleppo ٣٣-١,Aleppo ٤٠, Aleppo ٩٠, by determining the contents of
α - cellulose, β - cellulose ,γ – cellulose, polymerization degree (P) and the ash
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Syrian agricultural sector is one of the most sectors which contribute to the
national economy, because it provides employment for about 50% of the Syrian
labor force. In addition to secure food and clothing to the citizens and the raw
materials f
or the national downstream industries and reduces the trade deficit.
The cotton crop is the most important strategic crop and where 18% of the
workforce are employed there, starting from the process of agriculture until the
delivery of the product to the consumers. In addition to, it is an export crop
which includes raw cotton ginned, spun and woven garments worth tens
billions of Syrian pounds. The cultivation of cotton is one of the most important
irrigated crop in Syria and the relative importance in the Syrian agriculture,
For these reasons, the study includes many agricultural aspects - productivity
also it depends on official statistical data analyzed and discussed according to
the approved scientific basis for such these kinds of studies. The econometrics
showed that production and area of cotton was decreased when the cost was
increased in spite of there were increases in researches which are done in the
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arison of transformer-based text classification models in a variety of practical monolingual and multilingual pretraining and fine-tuning settings. We evaluate these methods on two distinct tasks in five different languages. Departing from prior work, our results show that multilingual language models can outperform monolingual ones in some downstream tasks and target languages. We additionally show that practical modifications such as task- and domain-adaptive pretraining and data augmentation can improve classification performance without the need for additional labeled data.
This experimental study aims to improve the quality of carded web
on advanced carding machine in Syrian spinning society.
The Effect of Speed of card on the web quality Statistically
analysed, the data indicate that all main parameters studied hav
e an
influence on web quality.
Furthermore it has been shown that there is a strong correlation
between the incident of neps and the increasing in the short fiber
content during increasing speed carding
Subsequently increase speed of card hasan effect negative on
Mechanical properties that are usualy the major contributer on the
yarn quality and its commercial value.
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