Academic literature on the topic 'Fabric processing'

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Journal articles on the topic "Fabric processing"

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Lou, Ching Wen, Ting Ting Li, Jan Yi Lin, Mei Chen Lin, and Jia Horng Lin. "Effects of Processing Parameters on Constant-Rate Puncture Resistance Behaviors of Compound Fabrics." Applied Mechanics and Materials 365-366 (August 2013): 1078–81. http://dx.doi.org/10.4028/www.scientific.net/amm.365-366.1078.

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The effect of Kevlar fibers amount, number of layers, thermal bonding and fabric type on constant-rate puncture resistance of low-cost compound fabrics are discussed. Therein, compound fabrics were prepared by nonwovens and woven fabric via needle-punching and thermal bonding processes. The result shows that, Kevlar fibers amount and number of layers are both positive to improvement of puncture resistance. And thermal bonding process increases the wearer safety of puncture-resistance materials. For different kinds of fabrics, compound Kevlar fabric shows the maximum puncture resistance.
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Jin, Lanming, Gaoming Jiang, Honglian Cong, and Chenguang Hou. "Geometrical Modelling of Jacquard Quilted Structures Weft Knitted Fabrics." Journal of Engineered Fibers and Fabrics 11, no. 1 (March 2016): 155892501601100. http://dx.doi.org/10.1177/155892501601100109.

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Jacquard quilted structure weft-knitted fabrics have many advantages, such as strong stereoscopic patterns, soft handling, adjustable apparel thickness, and use as home textiles. However, the final visual effects of such fabrics are difficult to predict prior to processing because of the rough surface caused by the connecting yarn and the inlay yarn of the fabric. This research applied a three-dimensional (3D) model instead of the original single-loop model to simulate knitted fabric. The 3D model is more suitable for a multilayer fabric because the simulation is quick, real, and convenient. The article includes experiments on structural parameters concerning regular dents of different samples, analysis of parameter data about the surface, and the simulation process with the objective of understanding the computer simulation of fabric. Results show good correlation between the simulation results and the actual fabric. Importantly, we can clearly see the expected effects in the fabrics without going through production and processing. This research will be useful for establishing a quick computer-generated simulation system for multilayer fabrics.
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Yen, Chien Kuo, Wen Hao Hsing, and Shih Yang Chen. "The Study of Two-Step Dip System of Conveyer by Different Pre-Treatment." Advanced Materials Research 287-290 (July 2011): 2622–25. http://dx.doi.org/10.4028/www.scientific.net/amr.287-290.2622.

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In this study, the PET/Nylon woven fabrics first treated with infrared radiation and microwave, then dipped isocyanate solution. The surface of the fabric had treated by physical and chemical processing. Adhesion strength between fabric and fabric up rise to 37.4%, and treated by microwave up rise to while adhesion strength between fabric and rubber by up to 52.2%.
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Lou, Ching Wen, Shih Yu Huang, and Jia Horng Lin. "Processing Technique and Impact Resistance of Kevlar/FPET/LPET Protective Nonwoven Fabrics." Advanced Materials Research 910 (March 2014): 174–77. http://dx.doi.org/10.4028/www.scientific.net/amr.910.174.

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Nonwoven fabric technique has been extensively used because nonwoven fabrics can uses both filaments and staple fibers and have ease of processing, a wide range of raw material sources, and a short production. This study makes protective nonwoven fabrics with Kevlar fibers, flame retardant polyester (FPET) fibers, and low-melting-point polyester (LPET) fibers. The number of lamination layers of the nonwoven fabric is varied and examined to determine their influence on the mechanical properties of the protective nonwoven fabrics. The results of test show that tensile strength and bursting strength of the protective nonwoven fabrics increase as a result of the increased number of lamination layer.
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Ellinas, Kosmas, Angeliki Tserepi, and Evangelos Gogolides. "Superhydrophobic Fabrics with Mechanical Durability Prepared by a Two-Step Plasma Processing Method." Coatings 8, no. 10 (October 2, 2018): 351. http://dx.doi.org/10.3390/coatings8100351.

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Most studies on superhydrophobic fabrics focus on their realization using additive manufacturing (bottom-up) techniques. Here we present the direct modification of three different fabrics using a plasma-based method to obtain anti-adhesive and self-cleaning properties. A two-step plasma processing method is used: (a) for the creation of micro-nanoscale features on the fabric surface (plasma texturing step) and (b) the minimization of the fabric surface energy (by a short plasma deposition step of a very thin, low surface energy layer). The entire process takes only 14 min and all fabrics after processing exhibit high water static contact angles (WSCA > 150°), low contact angle hysteresis (CAH < 7°) and advantageous mechanical durability against hand-rumpling. The method is simple and generic, and it can be therefore expanded to other polymeric fabrics (i.e., acrylic) in addition to polyester, without any limitation rising from the weaving characteristics of the fabric or the starting nature of the material (i.e., hydrophobic or hydrophilic).
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Wang, Shu Wen, and Te Li Su. "Application of Wavelet Transform and TOPSIS for Recognizing Fabric Texture." Applied Mechanics and Materials 556-562 (May 2014): 4668–71. http://dx.doi.org/10.4028/www.scientific.net/amm.556-562.4668.

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Fabric quality detection and classification plays a very important role for the automatic detection in fabrics. Using wavelet transform, this study intends to analyze the fabric image and work out the type feature of fabric texture; and then through Technique for Order Preference by Similarity to Ideal Solution (TOPSIS), the study tries to distinguish and classify the texture of fabrics, mainly of knited fabric, printed fabric, stain fabric and plain weave fabric. The approach of TOPSIS is applied in analyzing the correlation among random factor sequence of feature indexes after some data processing, and determining its texture type of the designated fabric on the basis of the highest correlative degree. Experiment findings show that the automatic recognizing system of fabric types discussed in this study is capable of recognizing four different textile images.
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Lin, Jia Horng, Chen Hung Huang, Kuo Cheng Tai, Chia Chang Lin, Yi Ting Tsai, and Ching Wen Lou. "Processing Technique of Sound Absorbent/Thermal-Insulating/Flame Retardant Composite Material." Advanced Materials Research 287-290 (July 2011): 2729–32. http://dx.doi.org/10.4028/www.scientific.net/amr.287-290.2729.

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This research is to develop a processing technique for fabricating the three-dimensional nonwoven fabric with the sound absorption capability and flame retardant capability. Furthermore, the physical properties and functionalities of the three-dimensional nonwoven fabric are adequately evaluated and tested. Several nonwoven fabrics are fabricated by two polyester fibers with different denier numbers and the low-melting-point fibers. Then, multiple nonwoven fabrics are used to make three-dimensional nonwoven fabrics through lapping, needle-punching process. After being reinforced by heating in the hot air circulation oven, the physical properties of three-dimensional nonwoven fabrics such as tensile strength, breathability, sound-absorption coefficients, limiting oxygen index (LOI), and thermal conductive coefficients are properly evaluated. Subsequently, the influence of fiber faintness on the performance of sound-absorption and thermal insulation of three-dimensional nonwoven fabrics is carefully examined through the obtained results.
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Xu, Guo Sheng. "Fabric Defect Automated Detection Technology." Applied Mechanics and Materials 325-326 (June 2013): 1431–34. http://dx.doi.org/10.4028/www.scientific.net/amm.325-326.1431.

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To solve the problem of automated defect detection for textile fabrics, this paper proposed a method for fabric defect detection which is based on computer vision. After the operations in many aspects of basis image processing, such as gray-scale, denoising, contour detection and morphological, and it can transmit the fabric defect image information to host-computer with the USB interface in time. In order to acquire high processing speed, the captured images from each camera are sent into one dedicate computer for distributed and parallel image processing. The experimental result confirms that the proposed method can is feasible in rapid defect detection, and has a broad market prospect.
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Muzafarovna, Avlikakulova Nafisa, Sobirova Sharofat Umidullayevna, and Ibadullaeva Shaxnoza Ilhamovna. "HARMONIZATION OF TYPES OF FABRIC ART PROCESSING TO STUDENTS." International Journal of Psychosocial Rehabilitation 24, no. 04 (February 28, 2020): 176–84. http://dx.doi.org/10.37200/ijpr/v24i4/pr200997.

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Akhtar, Khurram Shehzad, Ali Afzal, Kashif Iqbal, Zahid Sarwar, and Sheraz Ahmad. "Investigation of Manufacturing and Processing Techniques on Shade Variation and Performance Characteristics of Woven Fabrics." Journal of Engineered Fibers and Fabrics 13, no. 3 (September 2018): 155892501801300. http://dx.doi.org/10.1177/155892501801300308.

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The purpose of this research is to examine the properties of vortex and ring spun yarns and their influence on the properties of woven fabrics. Cotton/PET fibers with the same blend ratio were used to produce vortex and ring spun yarns of 24.6 tex. These yarns were woven into a fabric with a satin weave construction. Heat setting was done to control the dimensional shrinkage and its effect on results was investigated. The woven fabric was dyed using exhaust and continuous dyeing methods. The vortex yarn fabric yields superior shade depth, pilling and fastness properties in comparison to the ring yarn fabric.
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Dissertations / Theses on the topic "Fabric processing"

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Malek, Abdel Salam. "Online fabric inspection by image processing technology." Phd thesis, Université de Haute Alsace - Mulhouse, 2012. http://tel.archives-ouvertes.fr/tel-00720041.

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The purpose of this thesis is to automate the online detection of weaving defects by a computerized system based on image processing software. Obviously, fabric inspection has an importance to prevent risk of delivering inferior quality product. Until recently, the visual defect detection is still under taken offline and manually by humans with many drawbacks such as tiredness, boredom, and, inattentiveness. Fortunately, the continuous development in computer technology introduces the online automated fabric inspection as an effective alternative. Because the defect-free fabric has a periodic regular structure, the occurrence of a defect in the fabric breaks the regular structure. Therefore, the fabric defects can be detected by monitoring fabric structure. In our work, Fast Fourier Transform and Cross-correlation techniques, i.e. linear operations, are first implemented to examine the structure regularity features of the fabric image in the frequency domain. To improve the efficiency of the technique and overcome the problem of detection errors, further thresholding operation is implemented using a level selection filter. Through this filter, the technique is able to detect only the actual or real defects and highlight their exact dimensions. A software package such as Matlab or Scilab is used for this procedure. It is implemented firstly on a simulated plain fabric to determine the most important parameters during the process of defect detection and then to optimize each of them even considering noise. To verify the success of the technique, it is implemented on real plain fabric samples with different colours containing various defects. Finally, a vision-based fabric inspection prototype that could be accomplished on-loom to inspect the fabric under construction with 100% coverage is proposed.
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Lane, Karen Molly. "Analysis of knitted fabric models using image processing." Thesis, Georgia Institute of Technology, 1996. http://hdl.handle.net/1853/8581.

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Zou, Haichuan. "Investigation of hardware and software configuration on a wavelet-based vision system--a case study." Thesis, Georgia Institute of Technology, 1998. http://hdl.handle.net/1853/8719.

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Thomas, Howard LaVann. "Analysis of defects in woven fabrics : development of the knowledge base." Thesis, Georgia Institute of Technology, 1987. http://hdl.handle.net/1853/9185.

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Kuo, Chun-Yi. "Quantifying the fabric of granular materials an image analysis approach." Diss., Georgia Institute of Technology, 1994. http://hdl.handle.net/1853/20700.

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Myslinski, Paul Joseph. "Analysis of Cyanate Ester Resins and Graphite Fabric for Use in Resin Film Infusion Processing." Thesis, Virginia Tech, 1997. http://hdl.handle.net/10919/35804.

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The objective of this investigation was to characterize two cyanate ester resins and a eight harness satin (8HS) graphite fabric for use in resin film infusion (RFI) processing. Two cyanate ester resin systems were characterized to determine their cure-kinetics, and viscosities during cure. A 8HS graphite fabric was tested in compaction and through the thickness permeability. A one-dimensional, through the thickness, flow and cure computer simulation was run.

The resin cure-kinetics models predicted the curing behavior of the resins as functions of time, temperature, and degree of cure. The proposed viscosity models determined the resin viscosity as a function of temperature and degree of cure. The 8HS graphite fabric was tested in compaction and through the thickness permeability to determine the effect of compaction pressure on fiber volume fraction and in turn on through the thickness permeability. The one-dimensional RFI flow and cure simulation combined the cure-kinetics and viscosity models of the resins with the characteristics of the graphite fabric and determined resin infiltration and cure times.

The proposed cure-kinetics and viscosity models were more than adequate in modeling the cure and flow behavior of the cyanate ester resin systems. Power law curve fits accurately represented the compaction and through the thickness permeability of the 8HS graphite fabric. Finally, the one-dimensional RFI flow and cure simulation showed that resin viscosity was the major influence on the infiltration times.
Master of Science

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Rau, Anand V. "Processing of toughened cyanate ester matrix composites." Diss., This resource online, 1996. http://scholar.lib.vt.edu/theses/available/etd-06062008-151604/.

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Hammes, Daniel Markus [Verfasser]. "Data processing, 3D grain boundary modelling and analysis of in-situ deformation experiments using an automated fabric analyser microscope / Daniel Markus Hammes." Mainz : Universitätsbibliothek Mainz, 2017. http://d-nb.info/114906577X/34.

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Mallach, Annegret, Frank Härtel, Frieder Heieck, Jan-Philipp Fuhr, Peter Middendorf, and Maik Gude. "Experimental comparison of a macroscopic draping simulation for dry non-crimp fabric preforming on a complex geometry by means of optical measurement." Sage, 2017. https://tud.qucosa.de/id/qucosa%3A35794.

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Scope of the presented work is a detailed comparison of a macroscopic draping model with real fibre architecture on a complex non-crimp-fabric preform using a new robot-based optical measurement system. By means of a preliminary analytical process design approach, a preforming test centre is set up to manufacture dry non-crimp-fabric preforms. A variable blank holder setup is used to investigate the effect of different process parameters on the fibre architecture.The real fibre architecture of those preforms is captured by the optical measurement system, which generates a threedimensional model containing information about the fibre orientation along the entire surface of the preform. The measured and calculated fiber orientations are then compared with the simulation results in a three-dimensional overlay file. The results show that the analytical approach is able to predict local hot spots with high shear angles on the preform. Macroscopic simulations show a higher sensitivity towards changes in blank holder pressure than reality and limit the approach to precisely predict fibre architecture parameters on complex geometries.
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Li, Jie. "Description of Jersey knitted fabrics using image processing." Thesis, Georgia Institute of Technology, 1995. http://hdl.handle.net/1853/8595.

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Books on the topic "Fabric processing"

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Al-Saad, M. H. S. Microwave heating in continuous textile fabric processing. Manchester: UMIST, 1985.

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Wǣnrư̄angrō̜ng, Thitirat. Kānphatthanā thēknik kānthō̜ phā læ kānprǣrūp thī mo̜som khō̜ng phalittaphan phā khrām nai klum čhangwat SANUK: Rāingān wičhai = Development of the fabric weaving technique and suitable indigo fabric product processing in the SANUK group of provinces. Sakon Nakhon]: Mahāwitthayālai Rātchaphat Sakon Nakhō̜n, 2009.

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Wǣnrư̄angrō̜ng, Thitirat. Kānphatthanā thēknik kānthō̜ phā læ kānprǣrūp thī mo̜som khō̜ng phalittaphan phā khrām nai klum čhangwat SANUK: Rāingān wičhai = Development of the fabric weaving technique and suitable indigo fabric product processing in the SANUK group of provinces. Sakon Nakhon]: Mahāwitthayālai Rātchaphat Sakon Nakhō̜n, 2009.

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M. Cecília de Aguiar Ribeiro Leitão. Polifenóis do chá: Separação, identificação e evolução durante o fabrico. Lisboa: Ministério da Educação, Instituto de Investigação Científica Tropical, 1989.

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J, Doherty William. Textile flaw detection: An investigation of image processing techniques applicable to the automatic detection offlaws in textile fabrics. [S.l: The author], 1994.

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Textiles, product design, and marketing: Papers presented at the Annual World Conference, May 4-7, 1987, Como, Italy. Manchester, England: Textile Institute, 1987.

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Cipriani, Alberto, ed. Partecipazione creativa dei lavoratori nella 'fabbrica intelligente'. Florence: Firenze University Press, 2018. http://dx.doi.org/10.36253/978-88-6453-716-0.

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Come potrà configurarsi il lavoro in futuro? Quali nuove realtà e valori emergeranno in seguito alle trasformazioni della Quarta Rivoluzione industriale? Quanto la partecipazione dei lavoratori risulterà decisiva per il successo delle organizzazioni? Il libro propone esperienze concrete di partecipazione ‘creativa’ di lavoratori e manager all’interno di aziende impegnate a sviluppare un’organizzazione intelligente. Nella prima parte del libro parlano operai, impiegati o dirigenti che possono avere anche ruoli negoziali in ordine alla contrattazione sindacale, ma che sono soprattutto impegnati affinché tutto funzioni, offrendo opportunità in grado di rigenerare i processi e valorizzare i lavoratori. Nella seconda parte sono contenute riflessioni e proposte su come le esperienze di partecipazione possono sollecitare il mondo accademico, le relazioni sindacali, le politiche e il sistema legislativo ad approfondire e tener conto dei nuovi bisogni del lavoro, al fine di costruire un circolo virtuoso che supporti imprese e lavoratori, direzione e partecipazione nelle sfide complesse poste dall’innovazione e dal mondo competitivo della produzione.
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Germany) Paderborner Workshop Augmented & Virtual Reality in der Produktentstehung (1st 2002 Paderborn. Augmented & virtual reality in der Produktentstehung: Grundlagen, Methoden und Werkzeuge ; virtual prototyping/digital mock up, digitale Fabrik ; Integration von AR/VR in industrielle Geschäftsprozesse. Paderborn: Heinz Nixdorf Institut, 2002.

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Colussy, M. Kathleen, and Steve Greenberg. Rendering Fashion, Fabric and Prints with Adobe Photoshop. Prentice Hall, 2004.

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Rendering Fashion, Fabric and Prints with Adobe Photoshop. Prentice Hall, 2004.

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Book chapters on the topic "Fabric processing"

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Jensen, Kurt. "Transaction Processing and Interconnect Fabric." In Coloured Petri Nets, 51–72. Berlin, Heidelberg: Springer Berlin Heidelberg, 1997. http://dx.doi.org/10.1007/978-3-642-60794-3_4.

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Nayak, Rajkishore. "RFID in fabric manufacturing and chemical processing." In Radio Frequency Identification (RFID) Technology and Application in Fashion and Textile Supply Chain, 59–72. Boca Raton, FL : CRC Press/Taylor & Francis, 2019.: CRC Press, 2019. http://dx.doi.org/10.1201/9781351238250-4.

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Sun, Qi, Yaming Wang, and Chunxia Xu. "Fabric Image Denoising Method Based on Wavelet-Domain HMT Model." In Multimedia and Signal Processing, 383–88. Berlin, Heidelberg: Springer Berlin Heidelberg, 2012. http://dx.doi.org/10.1007/978-3-642-35286-7_48.

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Neetu and Vivekanand Tiwari. "A Novel Fabric Adhesive UWB Magnetoelectric Dipole Antenna." In Engineering Vibration, Communication and Information Processing, 111–20. Singapore: Springer Singapore, 2018. http://dx.doi.org/10.1007/978-981-13-1642-5_10.

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Abdulsahib, Mustafa, Wojciech Kabaciński, and Marek Michalski. "Performance Evaluation of the WSW1 Switching Fabric Architecture with Limited Resources." In Image Processing and Communications, 189–96. Cham: Springer International Publishing, 2019. http://dx.doi.org/10.1007/978-3-030-31254-1_23.

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Robles-Gómez, Antonio, Eva M. García, Aurelio Bermúdez, Rafael Casado, and Francisco J. Quiles. "A Model for the Development of AS Fabric Management Protocols." In Euro-Par 2006 Parallel Processing, 853–63. Berlin, Heidelberg: Springer Berlin Heidelberg, 2006. http://dx.doi.org/10.1007/11823285_90.

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Barua, Srikant, Hemprasad Patil, Parth Dharmeshkumar Desai, and Manoharan Arun. "Deep Learning-Based Smart Colored Fabric Defect Detection System." In Applied Computer Vision and Image Processing, 212–19. Singapore: Springer Singapore, 2020. http://dx.doi.org/10.1007/978-981-15-4029-5_21.

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Sancho, José Carlos, Ana Jokanovic, and Jesus Labarta. "Reducing the Impact of Soft Errors on Fabric-Based Collective Communications." In Euro-Par 2011: Parallel Processing Workshops, 262–71. Berlin, Heidelberg: Springer Berlin Heidelberg, 2012. http://dx.doi.org/10.1007/978-3-642-29740-3_30.

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Raut, Vaishnavi, and Indrasen Singh. "Digital Image Processing Based Automatic Fabric Defect Detection Techniques: A Survey." In Lecture Notes in Electrical Engineering, 1029–38. Singapore: Springer Singapore, 2020. http://dx.doi.org/10.1007/978-981-15-7031-5_98.

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Nurul Fazita, M. R., M. J. Nurnadia, H. P. S. Abdul Khalil, M. K. Mohamad Haafiz, H. M. Fizree, and N. L. M. Suraya. "Woven Natural Fiber Fabric Reinforced Biodegradable Composite: Processing, Properties and Application." In Green Biocomposites, 199–224. Cham: Springer International Publishing, 2016. http://dx.doi.org/10.1007/978-3-319-46610-1_9.

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Conference papers on the topic "Fabric processing"

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Agilandeswari, V., J. Anuja, Elizabeth Dona George, and R. Prasath. "Fabric quality testing using image processing." In 2014 International Conference on Information Communication and Embedded Systems (ICICES). IEEE, 2014. http://dx.doi.org/10.1109/icices.2014.7033989.

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Khowaja, Anum, and Dinar Nadir. "Automatic Fabric Fault Detection Using Image Processing." In 2019 13th International Conference on Mathematics, Actuarial Science, Computer Science and Statistics (MACS). IEEE, 2019. http://dx.doi.org/10.1109/macs48846.2019.9024776.

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Gupta, Himanshu, Sandeep Hans, Kushagra Aggarwal, Sameep Mehta, Bapi Chatterjee, and Praveen Jayachandran. "Efficiently Processing Temporal Queries on Hyperledger Fabric." In 2018 IEEE 34th International Conference on Data Engineering (ICDE). IEEE, 2018. http://dx.doi.org/10.1109/icde.2018.00167.

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Radulescu, Ion Razvan, Emilia Visileanu, Razvan Scarlat, Catalin Constantin, and Bogdana Mitu. "Comparative life cycle assessment study for fabric based electromagnetic shielding." In The 8th International Conference on Advanced Materials and Systems. INCDTP - Leather and Footwear Research Institute (ICPI), Bucharest, Romania, 2020. http://dx.doi.org/10.24264/icams-2020.iv.18.

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Life Cycle Assessment (LCA) studies represent the scientific approach for elaborating modern policies and supporting management decisions in the field of Sustainable Production and Consumption. The goal of many LCA studies undertaken for research are related to an exhaustive comparison of a modern, innovative product or process with respect to an initial, conventional one. This paper deals with such an approach for fabric based electromagnetic shielding. Electrically conductive textile fabrics are used in applications of electromagnetic shielding. Two basic types of technology for imparting electro- conductive properties to textiles are available, namely: insertion of conductive yarns in the fabric structure and coating with conductive layers. Magnetron plasma coating is a modern technology for achieving thin metallic layers on fabrics. Therefore, we focused the LCA study to the comparison between cotton woven fabrics with inserted conductive yarns out of stainless steel in warp and weft direction and cotton fabrics coated with thin layers of copper by magnetron plasma laboratory equipment. Functional unit of the comparative study was one square meter of EM textile shield with 5.2 dB at 1 GHz. A modelling of the fabric with inserted conductive yarns was performed in order to reach same shielding effectiveness at a certain frequency, as in the case of the coated fabric. Inventory data was collected for the fabric with conductive yarns from the textile company SC Majutex SRL, while for the plasma coated fabric from INFLPR. Impact assessment was performed by INCDTP, by using the LCA software SimaPro7 and the data basis EcoInvent 3.0. Interpretation of results shows that weaving of conductive yarns has a smaller impact on the environment than magnetron plasma coating using laboratory equipment, in a ratio of 1:2. This fact is explained by the industrial process of weaving as compared to laboratory process of coating, whereas brings the idea that upon utilization of industrial magnetron equipment for coating one may achieve in the end better environmental impact due to the process optimization for large area plasma processing.
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Antonio Buschetto, Luiz, Felipe Vieira Roque, Luan Casagrande, Tiago Oliveira Weber, and Cristian Cechinel. "A Block-Processing Approach Using Texture Analysis for Fabric Defect Detection." In Computer on the Beach. Itajaí: Universidade do Vale do Itajaí, 2020. http://dx.doi.org/10.14210/cotb.v11n1.p221-228.

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The quality control is an essential step in fabric industries. Detectdefects in the early stages can reduce costs and increase the qualityof the products. Currently, this task is mainly done by humans,whose judgment can be affected by fatigue. Computer vision-basedtechniques can automatically detect defects, reducing the need forhuman intervention. In this context, this work proposes an imageblock-processing approach, where we compare the Segmentation-Based Fractal Texture Analysis, Gray Level Co-Occurrence Matrix,and Local Binary Pattern in the feature extraction step. Aimingto show the efficiency of this approach for the problem, these resultswere compared with the same algorithms without the blockprocessingapproach. A Support Vector Machine optimized by Grid-Search Algorithm was used to classify the fabrics. The databaseused, which is available online, is composed of 479 images fromsamples with defects and without it. The results show that thisblock processing approach can improve the classification results,achieving 100% in this work.
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Stensland, Hakon Kvale, Olav Lysne, Roy Nordstrom, and Hugo Kohmann. "Making an SCI fabric dynamically fault tolerant." In Distributed Processing Symposium (IPDPS). IEEE, 2008. http://dx.doi.org/10.1109/ipdps.2008.4536137.

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Rosli, Anis Diyana, Hadzli Hashim, Noor Ezan Abdullah, Nadiah Ismail, and Zuraidah Halil. "Index on fabric wrinkle using image processing technique." In 2012 IEEE Control and System Graduate Research Colloquium (ICSGRC). IEEE, 2012. http://dx.doi.org/10.1109/icsgrc.2012.6287159.

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Takatoo, Masao, Yoichi Takagi, and Tadao Mori. "Automated Fabric Inspection System Using Image Processing Technique." In 1988 Robotics Conferences, edited by Michael J. W. Chen. SPIE, 1989. http://dx.doi.org/10.1117/12.948987.

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Seker, Abdulkadir, Kadir Askin Peker, Ahmet Gurkan Yuksek, and Emre Delibas. "Fabric defect detection using deep learning." In 2016 24th Signal Processing and Communication Application Conference (SIU). IEEE, 2016. http://dx.doi.org/10.1109/siu.2016.7496020.

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Kaynar, Oguz, Yunus Emre Isik, Yasin Gormez, and Ferhan Demirkoparan. "Fabric defect detection with LBP-GLMC." In 2017 International Artificial Intelligence and Data Processing Symposium (IDAP). IEEE, 2017. http://dx.doi.org/10.1109/idap.2017.8090188.

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Reports on the topic "Fabric processing"

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Manohar, Rajit. A High-Performance Reconfigurable Fabric for Cognitive Information Processing. Fort Belvoir, VA: Defense Technical Information Center, December 2010. http://dx.doi.org/10.21236/ada534563.

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VAN DEN BOOGAART, K. Gerald, Christin WEIßFLOG, and Jens GUTZMER. The Value of Adaptive Mineral Processing based on spatially varying Ore Fabric Parameters. Cogeo@oeaw-giscience, September 2011. http://dx.doi.org/10.5242/iamg.2011.0265.

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Taylor, Oliver-Denzil, Amy Cunningham,, Robert Walker, Mihan McKenna, Kathryn Martin, and Pamela Kinnebrew. The behaviour of near-surface soils through ultrasonic near-surface inundation testing. Engineer Research and Development Center (U.S.), September 2021. http://dx.doi.org/10.21079/11681/41826.

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Abstract:
Seismometers installed within the upper metre of the subsurface can experience significant variability in signal propagation and attenuation properties of observed arrivals due to meteorological events. For example, during rain events, both the time and frequency representations of observed seismic waveforms can be significantly altered, complicating potential automatic signal processing efforts. Historically, a lack of laboratory equipment to explicitly investigate the effects of active inundation on seismic wave properties in the near surface prevented recreation of the observed phenomena in a controlled environment. Presented herein is a new flow chamber designed specifically for near-surface seismic wave/fluid flow interaction phenomenology research, the ultrasonic near-surface inundation testing device and new vp-saturation and vs-saturation relationships due to the effects of matric suction on the soil fabric.
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Nolte, David D., and M. R. Melloch. Fabry-Perot Photorefractive Quantum Well Structures for Adaptive Processing. Fort Belvoir, VA: Defense Technical Information Center, November 1995. http://dx.doi.org/10.21236/ada304136.

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