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<ici-import><journal issn="1803-9790"/><issue number="A" volume="19" year="2013" publicationDate="2013-06-30" coverDate="1/2013" numberOfArticles="9"><article externalId="ACC_21408"><type>ORIGINAL_ARTICLE</type><languageVersion externalId="en21408" language="en"><title>Introduction of neural networks to students</title><abstract>The paper deals with the possibility of introducing artificial intelligence and especially artificial neural network methodology to students in an interesting way. To be more specific, the artificial neural network is described through the design of NPC’s artificial intelligence in a simple computer game. In the first paragraphs, the methodology of artificial neural networks is described in rather exoteric way through its comparison to biological nervous systems and neural cells. Then, the methodology is used to design a computer game NPC which can observe and learn the behavior of human player. At the end of the paper, the NPC behavior is tested and analyzed, as well as there is mentioned a feedback from students of several education facilities.</abstract><pdfFileUrl>https://acc-ern.tul.cz/archiv/PDF/ACC_2013_1_01.pdf</pdfFileUrl><publicationDate>2013-06-30</publicationDate><pageFrom>6</pageFrom><pageTo>15</pageTo><doi/></languageVersion><authors><author><name>Petr</name><surname>Doležel</surname><order>1</order><instituteAffiliation/><role>AUTHOR</role></author><author><name>Martin</name><surname>Mariška</surname><order>2</order><instituteAffiliation/><role>AUTHOR</role></author></authors><references/></article><article externalId="ACC_21409"><type>ORIGINAL_ARTICLE</type><languageVersion externalId="en21409" language="en"><title>An automated fabric fault detection and classification system based on computer vision and soft computing</title><abstract>Fabric inspection is one of the essential quality control processes in weaving mills. The automation of this process using computer vision systems is expected to increase the efficiency of the process and increase the total profit revenues on the long run. This work introduces a computer vision system that has the capability to detect and classify a relatively large number of fabric defects. Image enhancement techniques were used in processing the fabric acquired images. Spatial and spectral features were extracted from the processed images and used as inputs to soft-computing classifiers. Two approaches were used in the classification with the aim of reducing the calculation time required during the image analysis. The successful classification rate was 97.3% using the direct approach that has a slightly longer processing time. The performance of the classifiers in the series approach ranges between 91 to 100% depending on the classification level and the used image features. Results of this work with high classification rate and short processing time are promising to apply the introduced technique in real time fabric inspection systems.</abstract><pdfFileUrl>https://acc-ern.tul.cz/archiv/PDF/ACC_2013_1_02.pdf</pdfFileUrl><publicationDate>2013-06-30</publicationDate><pageFrom>16</pageFrom><pageTo>24</pageTo><doi/></languageVersion><authors><author><name>Hadir</name><surname>Eldeeb</surname><order>1</order><instituteAffiliation/><role>AUTHOR</role></author><author><name>Mahmoud</name><surname>Mohy</surname><order>2</order><instituteAffiliation/><role>AUTHOR</role></author><author><name>Tamer</name><surname>Elbagoury</surname><order>3</order><instituteAffiliation/><role>AUTHOR</role></author><author><name>Khaled</name><surname>Aboseda</surname><order>4</order><instituteAffiliation/><role>AUTHOR</role></author><author><name>Ebraheem</name><surname>Shady</surname><order>5</order><instituteAffiliation/><role>AUTHOR</role></author><author><name>Mohamed</name><surname>Eldessouki</surname><order>6</order><instituteAffiliation/><role>AUTHOR</role></author></authors><references/></article><article externalId="ACC_21410"><type>ORIGINAL_ARTICLE</type><languageVersion externalId="en21410" language="en"><title>Response of thermophysiological comfort properties of polyester – modal blended fabric to chemical finishing</title><abstract>The present study has been undertaken to identify and analyze the response of air and moisture transmission properties of fabric woven with air-jet spun polyester – modal blended yarn (as weft) to chemical finishing. In this study, the fabrics of three different blends are treated with different concentration of anti-crease resin (DMDHEU) and softening agent (modified silicon). The concentration of anti-crease finishing agent and softener used for chemical treatment are decided based on Box and Behnken design of experiment. Mathematical models (in the form of regression equations) have been developed to predict the thermophysiological comfort parameters using SYSTAT 13 statistical package. It was observed that under all experimental conditions, the moisture transmission, absorbency and air permeability of grey fabric reduces after finishing at all blend levels. Moisture transmission properties and air permeability of finished fabric is negatively influenced by the concentration of silicon softener. The concentration of resin does not influence the air permeability of the fabric, but it improves the moisture vapour permeability marginally, though it is not statistically significant. The wicking power is increased with increase in polyester component and resin concentration; however the latter does not have, unlike softener, any significant influence of total absorbency of fabric.</abstract><pdfFileUrl>https://acc-ern.tul.cz/archiv/PDF/ACC_2013_1_03.pdf</pdfFileUrl><publicationDate>2013-06-30</publicationDate><pageFrom>25</pageFrom><pageTo>44</pageTo><doi/></languageVersion><authors><author><name>R. P.</name><surname>Jamdagni</surname><order>1</order><instituteAffiliation/><role>AUTHOR</role></author><author><name>Suman</name><surname>Bhattacharya</surname><order>2</order><instituteAffiliation/><role>AUTHOR</role></author></authors><references/></article><article externalId="ACC_21411"><type>ORIGINAL_ARTICLE</type><languageVersion externalId="en21411" language="en"><title>Global heat and mass transport in system: newborn baby skin – textile composite – surrounding</title><abstract>Global model of heat and mass transport is defined by heat balance with term introducing mass exchange during sweat evaporation. Heat is supplied by metabolic heat production and lost by means of different phenomena. Necessary parameters of neonate body help to solve global correlation for different parameters of bonnet and external clothing. Different cases are discussed to prevent hyperthermia and hypothermia.</abstract><pdfFileUrl>https://acc-ern.tul.cz/archiv/PDF/ACC_2013_1_04.pdf</pdfFileUrl><publicationDate>2013-06-30</publicationDate><pageFrom>45</pageFrom><pageTo>55</pageTo><doi/></languageVersion><authors><author><name>Ryszard</name><surname>Korycki</surname><order>1</order><instituteAffiliation/><role>AUTHOR</role></author><author><name>Izabella</name><surname>Krucinska</surname><order>2</order><instituteAffiliation/><role>AUTHOR</role></author></authors><references/></article><article externalId="ACC_21412"><type>ORIGINAL_ARTICLE</type><languageVersion externalId="en21412" language="en"><title>An experimental investigation into the mechanical behavior of 3d woven hybrid composites</title><abstract>In general, the purpose of hybridization is to achieve a composite architecture which synergizes the properties of both materials and/or lowers the cost since one of the fibers could be too expensive. In this study, 3D woven glass/aramid/epoxy hybrid composites were fabricated by using Kevlar and zylon in Z direction and glass in both X and Y direction. There mechanical behavior such as tensile, compression, 3 point bending, impact resistance, stab resistance and DMA has been investigated. 3D hybrid composites clearly shows better impact resistance, stab resistance and DMA properties as compared to neat composite of comparable FVF.</abstract><pdfFileUrl>https://acc-ern.tul.cz/archiv/PDF/ACC_2013_1_05.pdf</pdfFileUrl><publicationDate>2013-06-30</publicationDate><pageFrom>56</pageFrom><pageTo>74</pageTo><doi/></languageVersion><authors><author><name>Rajesh</name><surname>Mishra</surname><order>1</order><instituteAffiliation/><role>AUTHOR</role></author><author><name>B. P.</name><surname>Dash</surname><order>2</order><instituteAffiliation/><role>AUTHOR</role></author><author><name>B. K.</name><surname>Behera</surname><order>3</order><instituteAffiliation/><role>AUTHOR</role></author></authors><references/></article><article externalId="ACC_21413"><type>ORIGINAL_ARTICLE</type><languageVersion externalId="en21413" language="en"><title>The prediction of grain size of the heat affected zone of welded s304h steel tubes using a mathematical model</title><abstract>Super 304H is an austenitic steel, which is mainly used for boilers in thermal power plants and the energy sector. Strength at high temperatures has become one of the most important attributes in the design of boiler tubes. The differences in material properties, especially in its creep resistance compared to other austenitic steels of similar composition, are mainly achieved by the addition of about 3 wt.-% of copper. The formation of fine Cu-rich precipitates during manufacture leads to an increased creep strength during the process of precipitation hardening. The impact of the welding cycle on the grain coarseness in the heat- affected zone (HAZ) for S304H steel will be demonstrated in this paper. The options and procedures for predicting grain size by mathematical modeling of welding and heat treatment will also be shown here. The method of acquiring the input data for the mathematical models, which predict the grain size, will also be described.</abstract><pdfFileUrl>https://acc-ern.tul.cz/archiv/PDF/ACC_2013_1_06.pdf</pdfFileUrl><publicationDate>2013-06-30</publicationDate><pageFrom>75</pageFrom><pageTo>84</pageTo><doi/></languageVersion><authors><author><name>Jaromír</name><surname>Moravec</surname><order>1</order><instituteAffiliation/><role>AUTHOR</role></author><author><name>Josef</name><surname>Bradáč</surname><order>2</order><instituteAffiliation/><role>AUTHOR</role></author><author><name>Iva</name><surname>Nováková</surname><order>3</order><instituteAffiliation/><role>AUTHOR</role></author><author><name>Heinz</name><surname>Neumann</surname><order>4</order><instituteAffiliation/><role>AUTHOR</role></author></authors><references/></article><article externalId="ACC_21414"><type>ORIGINAL_ARTICLE</type><languageVersion externalId="en21414" language="en"><title>Testing physiologic comfort of functional clothing</title><abstract>The subject of research work carried out at the Department of Clothing of the Faculty of Textile at the Technical University of Liberec was innovation and monitoring of physiologic properties of the first layer of functional clothing for sportsmen, army, firemen, police, etc. Physiologic properties of clothing are ones of the properties requested from functional clothing and they are important because they significantly influence not only the wearer's feelings but also psyche and performance of sportsmen, soldiers, policemen, etc. No universal clothing, which would be suitable for all weather conditions and physical exercise of the wearer can be designed, however, more suitable textile materials and more elaborated designs of clothing for improvement of clothing comfort can be used. The focus of research work was laboratory testing with proband’s simulated load with monitoring of temperatures and moisture in the limit layer of clothing. Based on the analysis of measured values and test results of set of T-shirts, a set of optimum structures of textile materials for functional clothing was designed.</abstract><pdfFileUrl>https://acc-ern.tul.cz/archiv/PDF/ACC_2013_1_07.pdf</pdfFileUrl><publicationDate>2013-06-30</publicationDate><pageFrom>85</pageFrom><pageTo>93</pageTo><doi/></languageVersion><authors><author><name>Ladislav</name><surname>Nagy</surname><order>1</order><instituteAffiliation/><role>AUTHOR</role></author><author><name>Antonín</name><surname>Havelka</surname><order>2</order><instituteAffiliation/><role>AUTHOR</role></author><author><name>Zdeněk</name><surname>Kůs</surname><order>3</order><instituteAffiliation/><role>AUTHOR</role></author><author><name>Soňa</name><surname>Jandová</surname><order>4</order><instituteAffiliation/><role>AUTHOR</role></author></authors><references/></article><article externalId="ACC_21415"><type>ORIGINAL_ARTICLE</type><languageVersion externalId="en21415" language="en"><title>About the thermal conductivity of multi-layer clothing</title><abstract>Measurement of thermal conductivity of textile structures for clothing is still a big challenge. This is because the values are below or at the limits of the bottom range of existing equipment of current testing devices. On the other hand, the optimisation of the thermal comfort of clothing values is required, because there are several single layers in men´s suits or women´s costumes and only with complete information about each layer more complex computations and calculations are possible. This work presents a part of larger experimental investigations, related to the Rct values of woven and knitted structures combined into several layers. Compressibility and thickness of single and multiple layers were measured; both using standard testing equipment and analysing cross sections of the layers embedded into resin. In order to investigate the influence of the air between multiple layers, the Rct values of five layers of the same structure were estimated using the PERMETEST device of the company Sensora. Some correlations were found and statistically proven between the Rct, the number of layers and the volume of the air layer between the layers. Finally, different configurations with the same layers in everyday clothing from underwear to suit were experimentally analysed and compared with the theoretically calculated values, based on a layered model of heat transfer through this clothing.</abstract><pdfFileUrl>https://acc-ern.tul.cz/archiv/PDF/ACC_2013_1_08.pdf</pdfFileUrl><publicationDate>2013-06-30</publicationDate><pageFrom>94</pageFrom><pageTo>102</pageTo><doi/></languageVersion><authors><author><name>Priscilla</name><surname>Reiners</surname><order>1</order><instituteAffiliation/><role>AUTHOR</role></author><author><name>Yordan</name><surname>Kyosev</surname><order>2</order><instituteAffiliation/><role>AUTHOR</role></author></authors><references/></article><article externalId="ACC_21416"><type>ORIGINAL_ARTICLE</type><languageVersion externalId="en21416" language="en"><title>Production of bicomponent gelatin/olive oil nanofibers for biomedical applications using coaxial spinneret</title><abstract>In this study, production of electrospun nanofibers containing olive oil was carried out using gelatin polymer. Olive oil is a natural green vegetable oil, which is abundant in vitamin, carotene and many trace elements. Olive oil has many functions in nutrition and health care and it is rich in essential fatty acids, including Vitamin A, D, E, K and other antioxidant substances, which can be rapidly absorbed by the body and can maintain skin elasticity and moisture. For this reason, in this study we focused on fabrication of nanofibrous mat containing olive oil that can be used in medical field. Nanofibers spun by bicomponent electrospinnig method using coaxial spinneret. Gelatin polymer was dissolved in distilled water/acetic acid at concentration 10%. Then olive oil was added to solution at a rate of 9:1 wt. Electrospinning from solution was carried out at varying process parameters such as feeding rate and applied voltage and also different mixture of polymer and olive oil. Bicomponent electrospun fibers were characterized by FT-IR spectroscopy and SEM instrument. FT-IR spectroscopy was used to prove the presence of olive oil in fiber structure.</abstract><pdfFileUrl>https://acc-ern.tul.cz/archiv/PDF/ACC_2013_1_09.pdf</pdfFileUrl><publicationDate>2013-06-30</publicationDate><pageFrom>103</pageFrom><pageTo>111</pageTo><doi/></languageVersion><authors><author><name>Çağlar</name><surname>Sivri</surname><order>1</order><instituteAffiliation/><role>AUTHOR</role></author><author><name>Kasım</name><surname>Aksoy</surname><order>2</order><instituteAffiliation/><role>AUTHOR</role></author><author><name>Sena</name><surname>Demirbağ</surname><order>3</order><instituteAffiliation/><role>AUTHOR</role></author></authors><references/></article></issue></ici-import>
	