933 resultados para Textile printing.


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Teilw. in hebr. Schr. und Sprache

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by Aron Freimann. With a foreword by Joshua Bloch

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by Joshua Bloch

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The Iranian textile industry still remains important as one of the largest sources of employment within the non-petroleum sector, although it no longer plays the large role it used in the country's economy (having been replaced by petroleum as the economy's primary industry). The subject of this study are middlemen known as namayande in the Iranian textile industry who plays a very important role in the operations of the innumerable small and medium-sized private firms. When private firms import materials from abroad, namayande make the connections between them and foreign sellers. These middlemen are not local sales agents of foreign companies as is usually the case; rather the namayande specialize in purchasing goods for local buyers. This study will point out some of the reasons why the namayande exist, and examine the present state of Iran's textile industry along with the particular management problems found within the firms' operations.

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Proyecto de Fin de Carrera de Ingenieria Industrial, versando sobre el completo diseño de una impresora 3D

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The main objective of this work is to adapt the Laser Induced Forward Techniques (LIFT), a well- known laser direct writing technique for material transfer, to define metallic contacts (fingers and busbars) onto c-Si cells. The silver paste (with viscosity around 30-50 kcPs) is applied over a glass substrate using a coater. The thickness of the paste can be control changing the deposit parameters. The glass with the silver paste is set at a controlled gap over the c-Si cell. A solid state pulsed laser (532 nm) is focused at the glass/silver interface producing a droplet of silver that it is transferred to the c-Si cell. A scanner is used to print lines. The process parameters (silver paste thickness, gap and laser parameters -spot size, pulse energy and overlapping of pulses) are modified and the morphology of the lines is studied using confocal microscopy. Long lines are printed and the uniformity (in thickness and height) is studied. Some examples of metallization of larger areas (up to 10 cm x 10 cm) are presented.

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In the chemical textile domain experts have to analyse chemical components and substances that might be harmful for their usage in clothing and textiles. Part of this analysis is performed searching opinions and reports people have expressed concerning these products in the Social Web. However, this type of information on the Internet is not as frequent for this domain as for others, so its detection and classification is difficult and time-consuming. Consequently, problems associated to the use of chemical substances in textiles may not be detected early enough, and could lead to health problems, such as allergies or burns. In this paper, we propose a framework able to detect, retrieve, and classify subjective sentences related to the chemical textile domain, that could be integrated into a wider health surveillance system. We also describe the creation of several datasets with opinions from this domain, the experiments performed using machine learning techniques and different lexical resources such as WordNet, and the evaluation focusing on the sentiment classification, and complaint detection (i.e., negativity). Despite the challenges involved in this domain, our approach obtains promising results with an F-score of 65% for polarity classification and 82% for complaint detection.