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Journal articles on the topic 'Data Fabric'
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1
Manna, Diwakar. "Data Fabric." International Journal for Research in Applied Science and Engineering Technology 12, no. 5 (2024): 2810–12. http://dx.doi.org/10.22214/ijraset.2024.62241.
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Anand, J. V. "Digital Transformation by Data Fabric." IRO Journal on Sustainable Wireless Systems 4, no. 3 (2022): 196–201. http://dx.doi.org/10.36548/jsws.2022.3.006.
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Many industries, including financial sector, telecommunications, transportation, and health care, are paying increasing attention to enterprise data fabrics. The continuous data expansion that enterprises are currently experiencing is being driven by digital transformation. As businesses adopt hybrid and multicloud settings, there is a big opportunity for managing data, but it has also greatly increased complexity. A data fabric is a concept that data executives are working over more and more, when it comes to choosing an architecture that supports and improves the data strategy. Enterprise data fabrics, which offer a distributed, functional data platform positioned between software architectures and back-end datasets, are built towards high performance and reliability.
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Bilisik, Kadir. "Experimental determination of yarn pull-out properties of para-aramid (Kevlar®) woven fabric." Journal of Industrial Textiles 41, no. 3 (2011): 201–21. http://dx.doi.org/10.1177/1528083711413411.
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The aim of this study was to determine the pull-out properties of the para-aramid woven fabrics. Para-aramid Kevlar 29® (K29) and Kevlar 129® (K129) woven fabrics were used to conduct the pull-out tests. K29 and K129 woven fabrics had high and low fabric densities, respectively. For this reason, yarn pull-out fixture was developed to test various K29 and K129 fabric sample dimensions. Data generated from single and multiple yarn pull-out tests in various dimensions of K29 and K129 woven fabrics included fabric pull-out forces, yarn crimp extensions in the fabrics, and fabric displacements. Yarn pull-out forces depended on fabric density, fabric sample dimensions, and the number of pulled ends in the fabric. Multiple yarn pull-out force was higher than single yarn pull-out force. Single- and multiple-yarn pull-out forces in K29 (tight fabric) were higher than those of K129 (loose fabric). Yarn crimp extension in K29 and K129 fabrics depended on crimp ratio in the fabrics and fabric density. High crimp ratio fabrics showed high yarn crimp extension compared to that of the low crimp ratio fabrics. Long fabric samples also showed high yarn crimp extension compared to that of the short fabrics. Fabric displacement in K29 and K129 fabrics depended on fabric sample dimensions and the number of pulled yarns. Long fabric samples showed high fabric displacement compared to that of short fabric samples. Fabric displacement from multiple yarn pull-out test was also higher than that of the single yarn pull-out test. It was considered that fabric pull-out properties can play important roles for absorption of impact load due to the yarn frictions in the fabric structures.
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Gurumurthy, B. R. "PREDICTION OF FABRIC COMPRESSIVE PROPERTIES USING ARTIFICIAL NEURAL NETWORKS." AUTEX Research Journal 7, no. 1 (2007): 19–31. http://dx.doi.org/10.1515/aut-2007-070103.
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Abstract Data analysis relating to a fabric’s compression properties can only be carried out when the limits of compression are known. The study of the compressibility of woven fabrics was initiated with Peirce, Kemp & Hamilton’s approach to circular yarns and flattened yarns of a fabric under pressure. The fit of the pressure-thickness relationship is being improved using the exponential interpolation & extrapolation methods, as well as iterative methods such as the Marquardt algorithm for fitting the curves. Although there is a recent trend towards the automation of studying the structure-property relationship of textile fabrics, an objective and efficient method for predicting properties with a rapid prototype that outputs to sophisticated instruments such as the KES-FB3 is essential. This characterisation of data for fabric materials will help maintain companies’ commercial experience and expertise. This established predicting model can provide guidance to fabric manufacturers, fashion designers and ?[makers-up] in fabric design, fabric selection and the proper use of fabrics. This approach will make online fabric sourcing more realistic. Fabric sourcing experts are now visiting supplier’s websites for tracking fabrics. Overall, this approach provides an opportunity to generate a dynamic database of fabric properties, and hence may result in the development of new fabrics or the updating of existing fabrics to keep pace with fashion.
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Ezazshahabi, Nazanin, Masoud Latifi, and Mohammad Amani Tehran. "Analysis of Frictional Behavior of Woven Fabrics by a Multi-directional Tactile Sensing Mechanism." Journal of Engineered Fibers and Fabrics 10, no. 3 (2015): 155892501501000. http://dx.doi.org/10.1177/155892501501000307.
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The frictional property of woven fabrics is one of the prominent surface characteristics which influence the performance of fabrics in a variety of applications. In this paper a novel methodology and instrument is proposed to measure the tactile force between fabric and simulated skin in different directions, and the obtained data are used for assessing fabric frictional property. In this regard, nine groups of woven fabrics consisting of three weave structures and three different weft densities were tested. By fitting the data with a proper equation, the tactile force in terms of fabric direction was predicted. The mentioned equation is also utilized for estimation of frictional behavior of fabric in various directions. Moreover, a single, new parameter called “frictional energy” is defined which has the ability to properly quantify the fabric frictional behavior. Statistical analysis of results reveals that the effect of weave structure and weft density is significant on the fabric friction. Being aware of the effect of fabric construction on friction is a guide for selecting the suitable fabric for various end uses.
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Lord, Peter R., and P. Radhakrishnaiah. "A Comparison of Various Woven Fabrics Containing Friction, Rotor, and Ring Spun Cotton Yarn Fillings." Textile Research Journal 58, no. 6 (1988): 354–62. http://dx.doi.org/10.1177/004051758805800608.
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Fabrics made from friction spun fillings (friction fabrics) had a hand that was judged to be equivalent to fabrics made from ring spun fillings of the same count (ring fabrics). Fabrics with rotor spun fillings (rotor fabrics) had a hand that was harsher than either of the others. The friction spun fillings only had a tenacity of about 57% of ring yarns. Plain weave friction fabrics had a tenacity in the filling direction of about 70% of ring fabrics and 66% for twill weave fabrics. The tear strength was 63% of the ring fabric. Warps were common in each set, but the substitution of one filling by another type altered the fabric performance in the warp direction even though the filling yarn count was unchanged. The topography of the fabric surface was changed by the substitution. Harmonic analysis of surface roughness data showed the effects to be considerable. Fabric bending stiffnesses changed by altering the fabric and yarn structures, but the two methods of measurement did not give identical assessments of these differences. Fabric shear and hysteresis losses suggest that friction fabric might tend to “bag.”
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Chen, Y., and B. J. Collier. "Characterizing Fabric End-Use by Fabric Physical Properties." Textile Research Journal 67, no. 4 (1997): 247–52. http://dx.doi.org/10.1177/004051759706700402.
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This paper introduces a statistical approach to predicting fabric end-use based on Kawabata kes-fb data determining fabric physical properties. The classification theory zbasis of discriminant analysis is discussed, and a way to establish classification criteria to characterize fabrics for clothing uses is demonstrated. The mathematical prediction model is described by a quadratic discriminant function that successfully classifies fabrics appropriate for suiting, blouses, and shirts.
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Albia Maqbool. "A mathematical approach for Data Management Transformation: Bridging Data Lakes and Data Fabrics with Advanced Analytics." Communications on Applied Nonlinear Analysis 32, no. 7s (2025): 922–40. https://doi.org/10.52783/cana.v32.3496.
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Over the last decade, big data and advanced analytics have changed a lot, and as a result, data management has been transformed from the legacy data lake to the modern data fabric architecture. The transformation is founded on the increasing demand for seamless, real-time integration and access between disparate data sources in order to turn actionable insights more quickly. Data lakes are good at centralizing high amounts of structured and unstructured data from different sources but lack governance, scalability, and timely analytics. In contrast, data fabrics provide an integrated intelligent layer that connects diverse data environments, ensuring superior agility, better data quality, and more optimized performance. Data fabrics utilize advanced analytics and machine learning to dynamically evaluate data flows and change them accordingly, automate integration processes and help organisations get just-in-time and just-enough data driven decisions quicker. In this paper well address how organizations are embracing data fabric solutions to mitigate the weaknesses of data lakes, and deliver results like faster insights, better compliance, and more accurate predictive analytics. The value of this change is demonstrated with relevant use cases in the real-world reinforcing that it will act as a catalyst for innovation and boost operational effectiveness. These findings highlight the significance of data fabrics as the future solution for enterprises aiming for a higher competitive advantage in an emerging data-driven world.
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Han, Qing Yun, Yan Mei Li, and Fan Ju. "The Optimum Choice of Fabric Based on Analytic Hierarchy Process." Advanced Materials Research 1048 (October 2014): 168–72. http://dx.doi.org/10.4028/www.scientific.net/amr.1048.168.
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From the perspective of consumer’s different fabric demand, application operational research of analytic hierarchy process (AHP) for candidates of the fabric to choose the best. Dust coat fabric, for example, the optimal choice as the target layer of fabric, with fabric bending stiffness, elasticity and thickness, permeability index, thermal resistance as the criterion layer, according to the research of the typical multiple dust coat fabric for plan layer, dust coat fabrics of hierarchical analysis model is established, combining quantitative and qualitative indicators, structural optimization selection of fabrics of judgment matrix. Consumer’s demand determines the weights of criteria layer, candidate fabric corresponding criterion layer of the experimental data as a basis of criterion for solution layer weight. Using the matlab language to calculate and design the interface, so as to realize the intelligent optimization selection of fabrics.
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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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Debnath, Sanjoy, and M. Madhusoothanan. "Compression Properties of Polyester Needlepunched Fabric." Journal of Engineered Fibers and Fabrics 4, no. 4 (2009): 155892500900400. http://dx.doi.org/10.1177/155892500900400404.
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In the present paper, a study of the effects of fabric weight, fiber cross-sectional shapes (round, hollow and trilobal) and presence of reinforcing material on the compression properties (initial thickness, percentage compression, percentage thickness loss and percentage compression resilience) of polyester needle punched industrial nonwoven fabrics is presented. It was found that for fabrics with no reinforcing material, the initial thickness, compression, and thickness loss were higher than fabrics with reinforcing material, irrespective offiber cross-section. Compression resilience data showed the reverse trend. Initial thickness for trilobal cross-sectional fabric sample was highest followed by round and hollow cross-sectioned polyester needle punched fabrics. The polyester fabric made from hollow cross-sectioned fibers showed the least percentage compression at every level of fabric weights. The trilobal cross-sectioned polyester fabric sample showed higher thickness loss followed by round and hollow cross-sectioned polyester fabric samples respectively. The hollow cross-sectioned polyester fabric samples showed maximum compression resilience followed by round and trilobal cross-sectioned polyester samples irrespective of fabric weights. The initial thickness increases, but percentage compression, thickness loss and compression resilience decreases with the increase in fabric weight irrespective of fiber cross-sectional shapes.
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Robo, Salahudin, Ayu Rahmawati Rumalean, Trisno Trisno, Rahmat Surya Baskara, and Sahlan M. Saleh. "Penerapan Metode SAW (Simple Additive Weighting) untuk Pemilihan Kain Terbaik." TIN: Terapan Informatika Nusantara 4, no. 1 (2023): 1–8. http://dx.doi.org/10.47065/tin.v4i1.4185.
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The many types of fabrics at the Modiss Textile store provide choices according to consumer tastes. However, purchases at this fabric store are still processed manually and not computerized. In selecting fabrics, consumers only focus on color and price tags. This research was conducted at the Modiss Textile & Taylor store, which is a store engaged in fashion retail. In completing this research, several research methods were used to collect data, namely interviews, observations and the application of the saw method. Based on the results of collecting data on fabric selection, criteria are needed in making decisions. The application of the SAW (Simple Additive Weighting) method has the greatest value from the calculation of the value of Vi obtained by alternative fabrics, namely Spandex Fabric with a value of 0.875, Brukat Lace Fabric with a value of 0.8, Italian Wool fabric with a value of 0.775. The purpose of this research is to create a decision support system that can be used by Modiss Textile & Taylor's customers in selecting fabrics that match the criteria provided by the store, namely fabric type, color, price, texture, and quality. Then the desired result is a decision support system that can be used by customers or consumers to choose fabrics at the Modiss Textile & Taylor store
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Praveen, Borra. "Microsoft Fabric Review: Exploring Microsoft's New Data Analytics Platform." International Journal of Computer Science and Information Technology Research 12, no. 2 (2024): 34–39. https://doi.org/10.5281/zenodo.11502585.
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<strong>Abstract:</strong> Microsoft Fabric represents a significant leap forward in analytics services, combining data management, analytics, and machine learning into a unified platform. This paper offers a detailed examination of Microsoft Fabric, covering its architecture, prominent features, advantages, and potential applications. Engineered to streamline data processes and foster collaboration among data experts, Microsoft Fabric supports real-time analytics, scalable data storage, advanced machine learning capabilities, and robust security protocols. Future developments for the platform include deeper AI integration, expanded data connectivity, enhanced user experience, fortified security measures, sustainability initiatives, and collaborative tools. By harnessing Microsoft Fabric, organizations can gain comprehensive data insights and drive innovation effectively. <strong>Keywords:</strong> Cloud Computing, Microsoft Azure, Data Analytics, Microsoft Fabric, Data Engineering, Data Science. <strong>Title:</strong> Microsoft Fabric Review: Exploring Microsoft's New Data Analytics Platform <strong>Author:</strong> Praveen Borra <strong>International Journal of Computer Science and Information Technology Research</strong> <strong>ISSN 2348-1196 (print), ISSN 2348-120X (online)</strong> <strong>Vol. 12, Issue 2, April 2024 - June 2024</strong> <strong>Page No: 34-39</strong> <strong>Research Publish Journals</strong> <strong>Website: www.researchpublish.com</strong> <strong>Published Date: 06-June-2024</strong> <strong>DOI: https://doi.org/10.5281/zenodo.11502585</strong> <strong>Paper Download Link (Source)</strong> <strong>https://www.researchpublish.com/papers/microsoft-fabric-review-exploring-microsofts-new-data-analytics-platform</strong>
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Bilisik, Kadir, and Gaye Yolacan. "Single and multiple yarn pull-out on E-glass woven fabric structures." Textile Research Journal 81, no. 19 (2011): 2043–55. http://dx.doi.org/10.1177/0040517511414976.
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The aim of this study was to understand the pull-out properties of E-glass woven fabrics. For this purpose, low yarn linear density E-Glass-F1 and high yarn linear density E-Glass-F2 woven fabrics were used to conduct the pull-out tests. A developed yarn pull-out fixture was used to test short and long fabric sample dimensions. Data generated from the single and multiple yarn pull-out tests using E-Glass-F1 and E-Glass-F2 woven fabrics included fabric pull-out forces, yarn crimp extensions in the fabrics and fabric displacements. Yarn pull-out forces depend on yarn linear density, fabric density, fabric sample dimensions and the number of pulled ends in the fabric. Results showed that multiple yarn pull-out force was higher than single yarn pull-out force. Single and multiple yarn pull-out forces in high yarn linear density E-Glass-F2 were higher than those of low yarn linear density E-Glass-F1 fabric. It was found that the crimp ratio in the fabric and fabric lengths is an important structural parameter for yarn crimp extension. Fabric displacement resulting from the multiple yarn pull-out test was higher than that of the single yarn pull-out test. Fabric displacement generated from single and multiple pull-out tests depended on fabric sample dimensions and the number of pulled yarn ends. Future research will concentrate on the development of the analytical relationship between pull-out and yarn fabric structural parameters which could result in a better fabric structure for use in composite applications.
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Jin, Lanming, and Qiao Xu. "Computer simulation and system realization of jacquard weft-knitted fabric." Journal of Engineered Fibers and Fabrics 14 (January 2019): 155892501989526. http://dx.doi.org/10.1177/1558925019895260.
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Jacquard weft-knitted fabric is a type of multilayer knitting fabric which has a stereoscopic surface with complex patterns. A computer simulation system was established, based on a virtual fabric Unity3D platform, to minimize the time required for computer simulation and to enhance the simulation results. The three-dimensional fabric data were unified and coordinate data were obtained to achieve the establishment. Three factors of simulation algorithm for jacquard weft-knitted fabric were used to establish and control the effect of a fabric model. By integrating three-dimensional model data, two-dimensional spatial data, and gray model, virtual simulation based on three-dimensional engine Unity3D platform was realized. Based on the real-fabric data, the final fabric patterns were predicted from macroscopic angle instead of two-dimensional and microscopic simulations. The system is proved to be more effective for the prediction and simulation of jacquard weft-knitted fabric and other fabrics having similar stereoscopic surfaces.
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Erdoğan, Ahmet, and Muhammet Tibet Sığırcı. "Computational Fluid Dynamic Simulation of Fabric Cooling in a Stenter Machine." Applied Sciences 14, no. 3 (2024): 1103. http://dx.doi.org/10.3390/app14031103.
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Stenter machines are used to remove moisture from fabrics produced in the textile industry. Following the drying process, the cooling process, which is applied to fabrics using injector channels, is conducted in the last section of a stenter machine, preventing fabrics from expanding and the degradation of their quality. The present study mainly aimed to investigate the fabric-cooling process in a stenter machine used actively in a textile company. First, industrial data were obtained with some experiments, and computational fluid dynamics (CFD) simulations were then conducted by validating the industrial data. All CFD models were simulated using ANSYS Fluent commercial CFD software. A total of four parameters, including two geometric and two operating parameters, were considered in order to investigate their effects on the fabric-cooling performance of the stenter machine. While the geometric parameters were the porosity (β) and injector angle (α), the operating parameters were the velocity of the airflow that cools the fabrics and fabric velocity, representing the movement of the fabric. As outputs of CFD simulations, fabric surface temperature values, the distributions of fabric surface temperatures, and some streamlines were illustrated. Although low values of porosity (β1 = 0.05) and injector angle (α1 = 0°) provided better performance, airflow velocity could be increased one or two times for the range of these constant parameters.
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Ferro, Fabiana Federica, Mirco Rampazzo, and Alessandro Beghi. "Modelling and simulation of wool steaming for the efficient management of decatizing processes." E3S Web of Conferences 128 (2019): 09010. http://dx.doi.org/10.1051/e3sconf/201912809010.
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Finishing is one of the fundamental steps of textile production and still, nowadays it largely depends on empirical knowledge. Aim of finishing processes is to impart the required functional properties to the fabric and, in particular, decatizing is the process that lends the fabrics dimensional stability, enhances the luster and improves the so-called ‘fabric hand’, corresponding to the sense of touching a textile. In this paper, we consider wool fabrics and, by exploiting the available process physical knowledge, we derive a model that can predict certain fabric characteristics, such as its temperature and moisture content, correlated with the fabric dimensional stability. We also design a simulation environment according to the model and we use it to easily generate synthetic data, obtaining information about the steaming process under different conditions. By analyzing the data, we can obtain knowledge about how to maximize the fabric decatizing process efficiency.
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Zhu, Cheng Yan, Ya Fen Jiang, Jia Liang Lu, Hong Xia Zhang, Wei Tian, and Guo Yan Jiao. "Performance Research on Silk/ High Count Cotton Mixed Fabric." Advanced Materials Research 332-334 (September 2011): 816–19. http://dx.doi.org/10.4028/www.scientific.net/amr.332-334.816.
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In this paper, silk/high-count mixed fabric was explored and developed by product design and performance research. The research showed the arrangement of the proportion of silk and cotton and different fabric weave designs. The data were achieved through the performance tests of all fabrics. And the paper analyzed and studied all the data to find the factors which could effect the characters of the blended fabric. The result showed that The drapability of silk/high count cotton mixed fabric could be closed to that of silk fabric when choosing high count cotton yarn and made pick count under 700 picks/10cm. Fabric anti-pilling tendency will strengthen with the increase of cotton content.
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Jahns, Veit. "Data Fabric and Datafication." ACM SIGSOFT Software Engineering Notes 47, no. 4 (2022): 30–31. http://dx.doi.org/10.1145/3561846.3561854.
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This paper is a response to the invitation by Forti et al. [1] to contribute to the discussion of trending topics in software engineering. The main focus of this contribution is the growing importance of data in software engineering, that is the data fabric and the datafication. Based on some (personal) observations, it is tried to refine the research questions raised by Forti et al. in more detail, in particular with respect to sharing and processing data in an environment of highly interacting distributed software components.
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Arina Haq and Anita Shofiyunada. "Utilization Of Songket Fabric As A Wedding Dress With The Application Of Aesthetic Principles." An International Journal Tourism and Community Review 1, no. 3 (2024): 01–08. https://doi.org/10.69697/tourcom.v1i3.169.
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Songket fabric is one of the traditional fabrics originating from South Sumatra, songket fabric has been used as a subordinate of traditional clothing, it can be in the form of bodo clothes, tunics. The development of fashion that continues to rotate so that the preservation of this songket fabric is maintained, innovation is needed, to provide innovation so that songket fabric can be processed into fashion for wedding occasions with more modern models. The principle of aesthetics is a reference in creating innovations so that the results of innovation are in accordance with the intentions and goals. The problem is how to use songket fabric as a wedding dress by applying aesthetic principles. The purpose is to find out the use of songket fabric as a wedding dress by applying aesthetic principles. The data collection methods used are observation, documentation and literature. The data analysis used is qualitative data analysis. The manufacture of wedding dress using songket fabric and a combination of tulle fabric through the process of determining design, preparing tools and materials, taking measurements, making patterns, cutting materials, marking the patterns, sewing, pressing, and finishing. Unity lies in detail by detail is still continuous, balance lies in symmetrical balance and contrast is applied to the selection of materials in terms of texture and color. Wedding Dress clothing is as follows; using songket fabrics. The use of this songket fabric is a synthetic songket fabric, which is widely sold and the price is still affordable. There are different possibilities when using the original songket.
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Cheng, Ling, and Jing Jing Sun. "Establishing the Model of Cashmere Knitted Fabric Style Evaluation Based on BP Neural Network." Advanced Materials Research 332-334 (September 2011): 2001–5. http://dx.doi.org/10.4028/www.scientific.net/amr.332-334.2001.
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This paper took KES fabric style instrument to test and evaluate basic physical properties and comprehensive style of 22 kinds of cashmere knitted fabrics or cashmere and yak cashmere blended knitted fabrics which have different structure, found basic structure parameters and mechanical property index were significantly correlated with cashmere knitted fabric style by correlation analysis, took BP neural network to analyze and train experimental data, established the model of cashmere knitted fabric style evaluation which is better to provide basis for practical production.
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Bel, Patricia Damian, and Bugao Xu. "Measurements of seed coat fragments in cotton fibers and fabrics." Textile Research Journal 81, no. 19 (2011): 1983–94. http://dx.doi.org/10.1177/0040517511407370.
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Seed coat fragments (SCFs) are the parts of a seed coat that have been broken from the surface of either mature or immature seeds during mechanical processing. SCFs can cause spinning problems and fabric defects, which ultimately cause financial losses to the cotton industry. The objective of this study was to develop and evaluate an image-analysis tool that detects SCFs on fabrics and compares various methods of detection of SCFs in fiber and fabric. The first part of this paper looks at 12 international cottons (a broad range of cottons from distinctly different regions). The version called AFISPro is used in these studies. The SCFs in these fibers were measured by hand sorting, the Shirley Analyzer and the Advanced Fiber Information System (AFIS). The SCFs in the fabrics (made from the same cottons) were measured by hand counting and an automated image-analysis system (Autorate). The Autorate SCF fabric data had a high correlation with the hand-counting SCF fabric data. The same 12 international cotton samples and an additional 12 international cottons were used for the AFISPro studies, since AFISPro is much faster than hand sorting. Comparison of the fiber and fabric data showed a promising relationship between the AFIS SCF measurement and the SCF fabric data.
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Afzal, Ali, Sheraz Ahmad, Abher Rasheed, Muhammad Mohsin, Faheem Ahmad, and Yasir Nawab. "Characterization and statistical modelling of thermal resistance of cotton/polyester blended double layer interlock knitted fabrics." Thermal Science 21, no. 6 Part A (2017): 2393–403. http://dx.doi.org/10.2298/tsci150520201a.
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The aim of this study was to analyse and model the effect of knitting parameters on the thermal resistance of cotton/polyester double layer interlock knitted fabrics. Fabric samples of areal densities ranging from 310-495 g/m2 were knitted using yarns of three different cotton/polyester blends, each of two different linear densities by systematically varying knitting loop lengths for achieving different cover factors. It was found that by changing the polyester content in the inner and outer fabric layer from 40 to 65% in the double layer knitted fabric has statistically significant effect on the fabric thermal resistance. Fabric thermal resistance increased with increase in relative specific heat of outer fabric layer, yarn linear density, loop length, and fabric thickness while decrease in fabric areal density. It was concluded that response surface regression modelling could be successfully used for the prediction of thermal resistance of double layer interlock knitted fabrics. The model was validated by unseen data set and it was found that the actual and predicted values were in good agreement with each other with less than 10% absolute error. Sensitivity analysis was also performed to find out the relative contribution of each input parameter on the air permeability of the double layer interlock knitted fabrics.
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Bainil Yulina, Pridson Mandiangan, and Nurul Azizah. "The Effect Of Entrepreneurial Competencies On Business Performance (Empirical Study On Msmes Of Palembang Woven Fabric)." International Journal of Science, Technology & Management 2, no. 2 (2021): 498–505. http://dx.doi.org/10.46729/ijstm.v2i2.173.
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The aims of this study were to investigate the entrepreneurial competence in Micro, Small and Medium Enterprises (MSMEs) of Palembang woven fabrics, the busniess performance of Micro, Small and Medium Enterprises (MSMEs) of Palembang woven fabrics, and whether entrepreneurial competence affected business performance at Micro, Small and Medium Enterprises (MSMEs) of Palembang woven fabrics. This research employed quantitative method. The population in this study was 90 owners of MSMEs as well as woven fabric craftsmen in the Tuan Kentang Palembang area. The sample used a random sample of 50 respondents. To collect the data, a closed-ended questionnaire was used. For data analysis, Ordinary Least Square was used. The research results showed 3 findings: overall, the entrepreneurial competence in the Palembang woven fabric business was in the high category, the overall performance of the Palembang woven fabric business was in the very high category, and entrepreneurial competence had a positive and significant effect on the business performance of the Palembang woven fabric business.
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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 (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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Akter, Shilpi, Mohammad Abdul Motalab, and Maksud Helali. "EFFECT OF MECHANICAL CRIMP OF JUTE FIBRE ON THE THERMAL PROPERTIES OF WOVEN FABRICS." Fibres and Textiles 29, no. 1 (2022): 3–9. http://dx.doi.org/10.15240/tul/008/2022-1-001.
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The aim of this paper is to find the effect of mechanical crimp of jute fibre on the thermal properties of woven jute fabrics. In this study, crimp box and gear crimping method were used to impart mechanical crimp into jute sliver. Crimps were divulged to enhance the cohesion between fibres that make it suitable for spinning. Jute yarns were produced by inserting a different number of crimps and woven fabrics were produced by using these yarns. Fabric thickness, porosity, air permeability and thermal conductivity tests were done according to standard method and found that fabric porosity, air permeability and thermal conductivity of the fabric decreased and fabric thickness increased with the increased number of crimps and fabrics from gear crimping method showed better effect than that of crimp box method. The study on jute woven fabric will provide quantitative experimental data for potential applications with advantages of lightweight, cost-effective, easy to manufacture, biodegradable and excellent mechanical properties.
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Balci Kilic, Gonca, and Ayşe Okur. "Effect of yarn characteristics on surface properties of knitted fabrics." Textile Research Journal 89, no. 12 (2018): 2476–89. http://dx.doi.org/10.1177/0040517518797337.
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Fabric surface properties are significant in terms of fabric handle, sensorial comfort, aesthetic and performance properties. Yarn properties are among the most important parameters that affect fabric surface properties. Besides, fiber type, fiber properties and spinning technology etc. directly affect the physical, mechanical and performance properties of yarns as well as fabric surface properties. In the scope of this study, effects of fiber type (raw material), fiber fineness and fiber length on the surface properties of fabrics were investigated. Also, properties of yarns were measured and their effects on fabric surface properties were analyzed. For this purpose, unevenness, optical unevenness, imperfections, structural properties (diameter, density, roughness and shape), hairiness and frictional properties of yarns were measured, and relationships between abrasion resistance, pilling and frictional properties of knitted fabrics were examined. Regression models were developed in order to predict fabric surface properties from yarn characteristics. Based on comprehensive data analysis, it was concluded that variation in yarn friction and yarn hairiness explains approximately 80–85% of fabric-to-fabric and fabric-to-skin (gazelle skin) friction coefficients. Furthermore, positive correlations between yarn hairiness and weight loss, and yarn hairiness and thickness change after abrasion test, were observed. Additionally, a new parameter, the optical contact index (OCI), based on an image analysis method, was suggested to determine the surface properties and roughness of fabrics. Relationships between the OCI and other tested fabric surface properties were statistically analyzed. Statistical analyses showed that high correlations exist between the new parameter and fabric friction and abrasion resistance at the 0.05 significance level.
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Rabiei, Hadiseh, Majid Montazer, Shokooh Sadat Khaloo, Mehrdad Helmi Kohanehshari, and Somayeh Farhang Dehghan. "UV protection properties of workwear fabric coated with metal-organic frameworks." Journal of Industrial Textiles 52 (August 2022): 152808372211389. http://dx.doi.org/10.1177/15280837221138977.
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The main purpose of this study was to evaluate the ultraviolet protective factor (UPF) of fabrics coated with titanium-based metal-organic framework (MOFs) (NH2-MIL-125(Ti)) made using an In-situ synthesis method and more accurately assess the intrinsic properties of the fabric. The cotton-polyester twill fabric (70-30%) (246.67 g/m2) was coated. In-situ coating conducted in 4 steps washing the fabrics, preparation of MOFs, injecting the MOFs to fabrics, and drying the fabric after coating. The scanning electron microscope (SEM), FTIR spectrometer, dynamic light scattering (DLS) and UV-Vis spectrophotometer were used to analyses the data of coating and UPF results. Also, four standards such as ASTM D737, ISIRI 8332, ISIRI 4199, and ISIRI 567 were used for analyzing the intrinsic properties of the fabric. The results of SEM and DLS altogether confirmed the in-situ formation of MOFs onto the fabric fibers. Moreover, the UPF value of the uncoated and coated fabrics was 3.67 and 315.73, respectively. It was showed that the in-situ deposition of NH2-MIL-125(Ti) on fabric can provide adequate protection against UVR. Also, the results of analyzing the intrinsic properties of the fabric showed that there was no significant difference in the intrinsic properties between the coated and uncoated fabrics. Based on the results, it can be concluded that the UV protective property of workwear fabrics can be improved by coating NH2-MIL-125(Ti) on them without any effect on the cooling effect of perspiration evaporation.
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Siva Prasad Nandi. "Serverless databases: Architectural evolution, implementation strategies, and future directions in cloud-native data management." World Journal of Advanced Research and Reviews 26, no. 2 (2025): 567–74. https://doi.org/10.30574/wjarr.2025.26.2.1591.
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The evolution of modern data centers demands innovative approaches to fabric provisioning, particularly when integrating new switches, hosts, and storage into existing infrastructures. This article introduces a Smart Fabric Provisioning solution powered by Agentic AI that transforms traditional manual processes into automated, intelligent workflows. By creating dynamic full-mesh fabrics with simulated environments, the solution addresses critical challenges in solution qualification and resource utilization during proof-of-concept phases. The AI-driven approach enables logical link manipulation to test various conditions without physical reconfiguration, significantly streamlining deployment workflows while reducing human error. This dual-purpose technology serves both as an internal efficiency tool for engineering teams across multiple geographies and as a valuable automated offering for end customers, representing a paradigm shift in how network fabrics are provisioned, tested, and deployed.
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Yan, Yu Xiu, Ya Ping Lu, Yan Na Feng, Jian Wei Tao, and Zi Min Jin. "Fabric Selection of Thermal Underwear under Different Conditions." Advanced Materials Research 785-786 (September 2013): 775–78. http://dx.doi.org/10.4028/www.scientific.net/amr.785-786.775.
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This paper selected 10 kinds of fabrics of thermal underwear, which are the representatives on the market; carried out tests on the fabric properties (thickness, density, the gram per square meter, etc.) and the fabric wearability (permeability, water vapor permeability, wicking height, insulation and antistatic properties, etc.); analyzed these data by using SPSS, finding out the factors which effect the warmth, moisture permeability, air permeability, etc, as well as the relationship between these factors. This article evaluated fabric wearability comprehensively by using concentrated reflection method and function value evaluation method to select the proper fabrics of thermal underwear under different conditions. The results of this research can be a good reference of thermal underwear fabric selection for enterprises.
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Tsai, Peter Ping-yi. "Theoretical and Experimental Investigation on the Relationship between the Nonwoven Structure and the Web Properties." International Nonwovens Journal os-11, no. 4 (2002): 1558925002OS—01. http://dx.doi.org/10.1177/1558925002os-01100408.
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Nonwoven fabrics provide a large variety of applications such as absorbents, insulators, separators, barriers, coverstocks, and filters, etc. The importance of fabric properties cannot be overemphasized in determining their applications. Three independent fabric parameters, i.e., fiber diameter, packing density and basis weight, are determined by controlling the nonwoven processing conditions. Other fabric properties such as pore size and performance properties such as absorbency, fluid permeability, filtration efficiency and hydro-head pressure, etc. are dependent properties on the independent parameters. This paper describes the theoretical derivation of the fabric dependent properties upon their independent parameters. The experimental results are compared with the theoretical data. The theoretical design of the fabrics for desired properties is discussed.
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Xie, Yu Chen, Min Wang, and Jun Li. "An Approach to Characterize the Thermal Deformation of Flame-Resistant Fabric Exposed to Flash Fire." Advanced Materials Research 821-822 (September 2013): 819–22. http://dx.doi.org/10.4028/www.scientific.net/amr.821-822.819.
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The flame-resistant fabric is prone to shrink under the flash fire, resulting in the surface changes of the fabric. In this research, the surface morphology of flame-resistant fabric after combustion was analyzed. Based on a handy laser scanner, the 3D point cloud data of the fabric surface was acquired. Through analyzing the height variation of fabric surface and calculating the slope of the wrinkle, the morphology change of the fabric surface was obtained. According to this method, the surface deformation of three aramid fabrics after 4s exposure to the flash fire was compared. The results show that this method is effective to evaluate the bulging height, wrinkle and shrink deformation of flame-resistant fabric after exposure.
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Kennedy, Joseph H., Erin C. Pettit, and Carlos L. Di Prinzio. "The evolution of crystal fabric in ice sheets and its link to climate history." Journal of Glaciology 59, no. 214 (2013): 357–73. http://dx.doi.org/10.3189/2013jog12j159.
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AbstractThe evolution of preferred crystal-orientation fabrics is strongly sensitive to the initial fabric and texture. A perturbation in climate can induce variations in fabric and texture in the firn. Feedbacks between fabric evolution and ice deformation can enhance these variations through time and depth in an ice sheet. We model the evolution of fabric under vertical uniaxial-compression and pure-shear regimes typical of ice divides. Using an analytic anisotropic flow law applied to an aggregate of distinct ice crystals, the model evolves the fabric and includes parameterizations of crystal growth, polygonization and migration recrystallization. Stress and temperature history drive the fabric evolution. Using this model, we explore the evolution of a subtle variation in near-surface fabric using both constant applied stress and a stress–temperature history based on data from Taylor Dome, East Antarctica. Our model suggests that a subtle variation in fabric caused by climate perturbations will be preserved through time and depth in an ice sheet. The stress history and polygonization rate primarily control the magnitude of the preserved climate signal. These results offer the possibility of extracting information about past climate directly from ice fabrics.
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Bilisik, Kadir, and Bekir Yildirim. "Stick-slip properties of single and multiple yarn pull-out in dry and softening treated polyester satin woven fabrics in boundary region." International Journal of Clothing Science and Technology 26, no. 1 (2014): 67–95. http://dx.doi.org/10.1108/ijcst-02-2013-0017.
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Purpose – The aim of this study was to understand the stick-slip properties of single and multiple yarn pull-out in dry and treated polyester satin woven fabric in boundary regions. Design/methodology/approach – Polyester satin pattern woven fabric was used to conduct the pull-out tests in order to examining the kinetic region of the force-displacement curve. Data generated from this research help the authors to obtain stick-slip force and accumulative retraction force. Findings – It was found that stick-slip force and accumulative retraction force depend on the number of pulled ends in the fabric, fabric sample dimensions and softening treatments. Stick-slip forces of polyester satin fabric in the multiple yarn pull-out test were higher than those of the single yarn pull-out test. Stick-slip force in single and multiple yarn pull-out tests in the dry polyester satin fabric was generally higher than those of the softening treated polyester satin fabric. In addition, the warp directional single and multiple yarn stick-slip and accumulative retraction forces in the dry and softening treated polyester fabrics were generally higher than those in the weft direction in the fabric edges due to fabric density. On the other hand, the amount of stick-slip force was related to the number of interlacement points in the fabric, whereas the amount of accumulative retraction force was related to fabric structural response. Originality/value – The mechanism of stick-slip and accumulative retraction force of dry-treated polyester satin pattern woven fabrics were explained. This research could be valuable for development of multifunctional fabrics in technical textiles and ballistic.
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DU, LEI, FU-XIANG WANG, JIA-LI YANG, et al. "Effect of fabric parameters on fragrance retention." Industria Textila 71, no. 06 (2020): 550–56. http://dx.doi.org/10.35530/it.071.06.1729.
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This study is to explore the effect of fabric parameters on fragrance retention, which was based on the olfactorymeasurement technology with the quantitative headspace method. The fragrance retention of different fabrics wasquantitatively evaluated by Electronic Nose (e-nose) at different time after volatilization. Quick-drying Tester was usedto test the fabric drying rate, which was related to fragrance retention. Besides, wicking property and porosity of fabrics,two factors of moisture transmission, were tested and calculated for analysis too. It was found that fabrics with the highercotton content had the better fragrance retention due to their hydrophilicity and water retention property of fibers. Plainfabric had the shorter fragrance retention than twill fabric since its lower porosity and the higher capillary pressure ledto the faster fragrance dissipation. As the fabric density increased or the yarn count decreased, the fragrance retentionincreased. Since their wicking properties decreased, the process of perfume diffusion would slow down. The data andmethods presented in this paper provide a basis for optimizing the parameters of fragrant fabric.
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DU, LEI, FU-XIANG WANG, JIA-LI YANG, et al. "Effect of fabric parameters on fragrance retention." Industria Textila 71, no. 06 (2020): 550–56. http://dx.doi.org/10.35530/t.071.05.1729.
Full textAbstract:
This study is to explore the effect of fabric parameters on fragrance retention, which was based on the olfactorymeasurement technology with the quantitative headspace method. The fragrance retention of different fabrics wasquantitatively evaluated by Electronic Nose (e-nose) at different time after volatilization. Quick-drying Tester was usedto test the fabric drying rate, which was related to fragrance retention. Besides, wicking property and porosity of fabrics,two factors of moisture transmission, were tested and calculated for analysis too. It was found that fabrics with the highercotton content had the better fragrance retention due to their hydrophilicity and water retention property of fibers. Plainfabric had the shorter fragrance retention than twill fabric since its lower porosity and the higher capillary pressure ledto the faster fragrance dissipation. As the fabric density increased or the yarn count decreased, the fragrance retentionincreased. Since their wicking properties decreased, the process of perfume diffusion would slow down. The data andmethods presented in this paper provide a basis for optimizing the parameters of fragrant fabric.
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Realff, M. L., M. C. Boyce, and S. Backer. "A Micromechanical Model of the Tensile Behavior of Woven Fabric." Textile Research Journal 67, no. 6 (1997): 445–59. http://dx.doi.org/10.1177/004051759706700609.
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This work takes a micromechanical approach to fabric tensile modeling. The entire uniaxial tensile stress-strain behavior of the fabric is modeled from the constitutive yarn properties (tensile, bending, flattening, and consolidation behavior) and the original fabric geometry. Techniques for measuring these yarn properties are described. In most cases, there is good agreement between the theoretical and experimental results for several fabrics of differing weave and yarn construction. Modified approaches are suggested for those cases where prediction of fabric stress-strain behavior deviates from the experimental data.
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Cai, Yong Dong. "Grey Clustering Analysis of Cotton Coolmax Weft-Varied Fabric Comfortability." Applied Mechanics and Materials 543-547 (March 2014): 2141–44. http://dx.doi.org/10.4028/www.scientific.net/amm.543-547.2141.
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Cotton Coolmax weft-varied fabric comfortability was discussed. Nine kinds of Coolmax weft-varied fabric were selected as example, JC9.7tex yarn was used as warp. Alkali peeling Coolmax 7. 6tex yarn, common Coolmax 8.3tex yarn and JC 9.7tex yarn were combined and used as weft. Property of the nine fabrics were tested including air permeability, moisture permeability and capillary effect. Method of grey clustering analysis was adopted to analyze test data, advantages and disadvantages orders of the nine fabrics comprehensive comfortability can be got. It is considered that cotton Coolmax weft-varied fabric comprehensive comfortability can be improved by alkali peeling.
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Alawiya, Tuti, Muhammad Ridho Isdi, Meqorry Yusfi, and Harmadi Harmadi. "Fabric materials classification device using YOLOv8 algorithm." Indonesian Journal of Electrical Engineering and Computer Science 38, no. 3 (2025): 1479. https://doi.org/10.11591/ijeecs.v38.i3.pp1479-1488.
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The fashion industry in Indonesia significantly contributes to the country’s creative economy. However, public knowledge about various types of fabric materials is still limited, often leading to fraud. This research aims to develop a device that can classify fabric materials based on their structure using computer vision techniques. The device uses a digital microscope endoscope magnifier 1600x USB camera to capture fabric structure images and the YOLOv8 algorithm to classify 17 types of fabric materials from 1,700 raw image data. The research methodology includes collecting fabric image datasets, preprocessing data, and training the YOLOv8 model. The results show that the YOLOv8 model achieves an accuracy of 98%. The classification results are displayed on an LCD connected to NodeMCU ESP8266. System testing shows that the device effectively classifies fabric materials, sends the results to the database via API, and displays the results on the LCD. Overall, this device provides an effective solution for distinguishing types of fabrics and preventing fraud in fabric purchases.
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Sun, Xun Ke, Tao Qiu, Mei Jun Chen, and Cen Feng. "Correlation Analysis Based on the Performance and Structural Parameters of Woven Fabrics for Bedding." Advanced Materials Research 796 (September 2013): 240–44. http://dx.doi.org/10.4028/www.scientific.net/amr.796.240.
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Typical woven fabrics for bedding were selected from the market in this paper. Based on test and analysis results of the structural parameters, the relevant performance indicators were measured in consideration of mechanical properties,comfort and style of fabrics, and the test data were systematically integrated and the relevant quantitative data were ultimately obtained. Meanwhile, Fabric Assurance Tester was used to determine the style of the fabrics and tested indicators were chosen, following with normalized statistics and processing. In addition, SPSS software was applied for the correlation analysis between fabric properties and structural parameters through the correlation and partial correlation analysis.According to the results of correlation coefficient,partial correlation coefficient, the paper revealed the intrinsic link between the fabric’s structural parameters and its properties. As to the main factors of the structural parameters which greatly affect the performance of the fabrics, they will provide scientific evidence for the design and development of fabric.
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Hatch, Kathryn L., Harriet H. Prato, S. Haig Zeronian, and Howard I. Maibach. "In Vivo Cutaneous and Perceived Comfort Response to Fabric: Part VI: The Effect of Moist Fabrics on Stratum Corneum Hydration." Textile Research Journal 67, no. 12 (1997): 926–31. http://dx.doi.org/10.1177/004051759706701209.
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Materials placed over human skin may change the stratum corneum (sc) hydration level, an important phenomenon because increases in normal levels of sc hydration pose potential health problems. This study examines the relationship between fabric moisture content and level of sc hydration so that the role of fabric moisture on sc hydration may be better understood. Three fabric/moisture treatments are placed on the sc—3.5-denier polyester fabric with an initial moisture content of 35% and cotton fabrics with either 44% or 75% initial moisture content—then covered with an occlusive dome. sc evaporative water loss (ewl) is measured before treatment placement and after 30 and 60 minutes of contact. The amount of moisture in the fabric at time of removal is calculated two different ways, and three analyses of variance are done using the evaporative water loss and two fabric final moisture content data sets. The rate of ewl is significantly higher after 30 minutes of treatment contact with sc than after 60 minutes of contact. The amount of moisture in the fabrics is significantly less at time 60 than at time 30, implying that the sc is more hydrated at 30 minutes than at 60 minutes. However, the fabrics contain less moisture when removed at 60 minutes than at 30 minutes. As fabric moisture content decreases, sc hydration decreases. The question we are not able to answer is “Where does the moisture go that is initially in the fabric?’
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Danquah Monnie, Patience, Docea Fianu, and Efua Vandyck. "Effect of washing on performance attributes of fabrics for Basic School Uniforms." International Journal of Scientific Research and Management 9, no. 06 (2021): 1756–62. http://dx.doi.org/10.18535/ijsrm/v9i06.el03.
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The determination of the suitability of fabrics for specific end-uses require the subjection of selected fabrics to conditions they would be exposed to during use and care such as washing. Three different brands of fabrics commonly used for Ghanaian Basic School Uniforms and labelled A, B and C were evaluated after washing to suggest suitable fabric(s) to be used to achieve quality in uniforms. Specimens were subjected to three washing cycles and strength, elongation, dimensional stability and colourfastness tested. Data were analyzed using the Predictive Analytical Software for windows version 22. Means of the performance characteristics of the fabrics were determined and hypotheses were tested using analysis of variance at 0.05 alpha level. Washing had effect on the parameters investigated. In all, fabric brand B performed best as throughout the wash cycles, its strength values were above the standard requirements set by the Ghana Standards Authority for uniform fabrics. Since the fabric brand B performed best with the parameters investigated, it is suggested for use as school uniform fabric. However, further studies can be conducted on these same fabrics where other parameters such as absorbency and abrasion resistance can be evaluated.
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Wanna, Joseph T., Christine A. Rouse, Paul L. Chen, Geraldine E. Henderson, and Linda C. Greear. "Smoldering Potential and Characterization of Used Upholstery Fabrics." Journal of Fire Sciences 14, no. 5 (1996): 379–92. http://dx.doi.org/10.1177/073490419601400506.
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To examine the effects of soiling on the smolder potential of upholstered furniture, sixty-six used upholstery fabrics were collected in the state of Georgia and sections of each fabric were determined to be either "soiled" or "unsoiled." A soiled area is an exposed surface of the upholstery fabric, whereas an unsoiled area is not exposed. Each fabric's composition (cell ulosic, synthetic, or mixed fibers) was determined, and soiled and unsoiled samples from each fabric were analyzed for pertinent chemical and physical characteristics. For the majority of fabrics, the smoldering potential of the soiled areas did not increase with respect to the unsoiled areas. In fact, more fabrics exhibited a reduced (versus increased) tendency to smolder upon soiling. Six fabrics that smoldered in the unsoiled condition did not smolder in the soiled condition. This study confirms results reported on used upholstery fabrics collected in the state of Virginia. Statistical analysis performed on data from each study and the combined data showed that smoldering potential had a statistically significant correlation to fabric, but not to soiling. Two ions that play a major catalytic role in smoldering ignitions, sodium and potassium, showed increased levels in soiled areas of the cellulosic fabrics by approx imately 700 ppm and 480 ppm, respectively. These increases did not account for the observed changes in smolder potential. The increase in sodium and potassium ion levels for all sixty-six fabrics collected in Georgia were equiva lent to those of the sixty fabrics collected in Virginia. Calcium and magnesium ions did not increase between soiled and unsoiled fabric areas. Chloride and sulfate increased in the soiled samples compared to the unsoiled. Levels of nitrate and phosphate did not change with soiling.
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Jin, Lanming, and Gaoming Jiang. "Research on the surface of multilayer weft knitted fabrics using computer simulation." International Journal of Clothing Science and Technology 27, no. 4 (2015): 561–72. http://dx.doi.org/10.1108/ijcst-07-2014-0084.
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Purpose – Multilayer weft knitted fabrics possess many advantages, such as strongly stereoscopic patterns, soft handling and adjustable thickness of apparel and home textiles use. However, it is difficult to predict the final visual effects before the productive process because of the three-dimensional (3D) effect caused by the connecting yarn of the fabric. The purpose of this paper is to realize a realistic simulation of the fabric. Design/methodology/approach – The authors applied to the curve and surface model to simulate the knitted fabric, instead of previous single loop model by NURBS. Macro simulation is more suitable for the fabric with the 3D effect because of the quick, real and convenient simulation. This research includes experiments on the structural parameters concerning the regular sag of multilayer weft knitted fabrics, and analysis of parameter data and the simulation process with the aim of realizing a computer simulation of the fabric, especially with a sense of reality. The Digital Elevation Model was also applied to build a simulated 3D model. Findings – To obtain the values for the change rules, different samples were used and the outputs of the model were found to be close to the experimental results. The thickest and thinnest lengths and the changing curves between them were established. Patterned simple multilayer weft knitted fabric could be simulated through the results of the research. It is possible to simulate different real fabrics using their materials and expected effects. The authors are going to improve the model to simulate the complicate large-scale jacquard fabrics in further research. Practical implications – The results will be useful for establishing a computer surface simulation system for stereo perception of fabrics. Originality/value – The authors put forward the concept of surface warpage degree (R). It is an important factor affecting the fabric stereo feeling. The larger the value of R, the stronger the stereo sense of the fabric. It could be applied to most 3D fabric. A thickness difference testing method was proposed to characterize the stereo perception of fabrics. It is possible to simulate different real fabrics quickly without the model of the woven loop.
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Han, Hong Shuang, Yu Jing Zhang, Dan Sun, Li Ping Qiao, and Mei Zhang. "Parameters of High-Density Soft Breathable and Anti-Velvet Fabric Technology." Advanced Materials Research 941-944 (June 2014): 1336–40. http://dx.doi.org/10.4028/www.scientific.net/amr.941-944.1336.
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At present, there are still drilling soft velvet jacket fabric, breathable, coated thick and many other issues, the clothing brand's lack of guidance on the technical parameters of the purchase fabric, so that the domestic high-end brands in soft single layer anti-velvet products domestic market share is far behind foreign brands. Based on the above situation, this paper on the international market of high-end brands such fabrics for data analysis, according to research data to buy produce like cloth, sewn jacket kind of clothing to complete the work and try to verify their anti-velvet, breathable performance, research findings provide proof fabric for further research fellow basic data, reference may be fabric or garment production company's procurement offer.
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Firmansyah, Almira. "Digitized Identification of Indigo Natural Dyeing on Batik and Non-Batik Fabrics." Indonesian Journal of Visual Culture, Design, and Cinema 3, no. 2 (2024): 296–311. http://dx.doi.org/10.21512/ijvcdc.v3i2.11598.
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Natural coloring in textiles has regained favor as the sustainable fashion movement grows. Fabric colour digitisation can help with data inventory of natural dyed textiles because digital data could endure longer than physical sample artifacts. In this research, digitization was performed on standardized fabric samples: cotton fabric dyed with indigo natural dyestuff and processed with batik and non-batik treatment. Indigo dye is made from the indigo plant (Indigofera tinctoria) and is fixed with quicklime (Calcium Oxide), which serves as both the initial and final mordant. Fabric dyeing was repeated three, six and nine times until the desired hue is reached. The final fabric samples were then scanned to produce discrete color values in RGB format. Color digitization of batik and non-batik fabrics produces content which can be used in digital mediums.
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Dona, Yunita, Yulius Keremata Lede, Samuel Rex Mulyadi Making, and Dorothea Novia Ludo Lubur. "Ekplorasi Etnomatematika Kain Tenun Kampung Bokuna di Kecamatan Wewewa." Indo-MathEdu Intellectuals Journal 5, no. 5 (2024): 6347–54. http://dx.doi.org/10.54373/imeij.v5i5.1998.
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In general, the North Wewewa Wewewa Woven Fabric of Bokuna Village is passed down from the ancestors and followed until now this Woven Fabric has beautiful motifs made based on daily life and also from nature. Ethnomathematics is a bridge between culture and mathematics, ethmomathematics is adapted by cultural groups to see that the culture contains mathematical aspects. This research aims to find out the concept of geometry in Woven Fabrics. The data collected is in the form of documentation, interviews, and observation results. The type of research used in qualitative descriptive is to describe the mathematical elements contained in woven fabrics. Data collection uses observation and interviews. Data analysis is carried out qualitatively with the stages of data reduction, data presentation, and conclusion drawing. The results of the analysis show that Woven Fabrics are sacred crafts that are inherited from ancestors or from generation to generation. In the study, the researcher found several one-dimensional and two-dimensional buildings. The geometric shapes found by the researcher are: rectangular shape on the entire shape of the woven fabric, an equilateral triangle shape on the mamuli motif, an isosceles triangle shape on the flower motif, a bele ketupat shape on the star motif, a rectangular shape on the entire woven fabric, a square shape on the butterfly motif
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Romao Santos, Raphael, Masumi Nakanishi, and Sachiko Sukigara. "Tactile Perception of Woven Fabrics by a Sliding Index Finger with Emphasis on Individual Differences." Textiles 3, no. 1 (2023): 115–28. http://dx.doi.org/10.3390/textiles3010009.
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Haptic sensing by sliding fingers over a fabric is a common behavior in consumers when wearing garments. Prior studies have found important characteristics that shape the evaluation criteria and influence the preference of consumers regarding fabrics. This study analyzed the tactile perception of selected woven fabrics, with an emphasis on the participants’ individual differences. Individual differences generally are discarded in sensory experiments by averaging them. Small differences among consumers can be important for understanding the factors driving consumer preferences. For this study, 28 participants assessed fabrics with very distinct surface, compression, and heat transferring properties by sliding their index fingers along the surface of the fabric. The participants also engaged in a descriptive sensory analysis. The physical properties of the fabric were measured using the Kawabata Evaluation System for Fabrics (KES-F) system. Moreover, parameters at the finger–fabric interface, such as the contact force, finger speed, and skin vibration, were measured during the assessment. This study used analysis of variance to eliminate nonsignificant attributes. Consonance analysis was performed using principal component analysis (PCA) on the unfolded sensory and interface data matrices. Finally, the physical and interface data were regressed onto sensory data. The results showed that the contact force and finger speed were nonsignificant, while skin vibration was a possible replacement for surface physical properties measured by the Kawabata Evaluation System for Fabrics (KES-F) system with an equal or slightly improved explainability.
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Aghaei, Mohammad, Mahmood M. Shokrieh, and Reza Mosalmani. "Effect of warp and fill-fiber volume fractions on mechanical properties of glass/epoxy woven fabric composites." Journal of Composite Materials 54, no. 24 (2020): 3501–13. http://dx.doi.org/10.1177/0021998320914002.
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Mechanical properties of woven fabric composites are influenced by fabric geometry and harness. In the present research, woven fabric composites made of ML-506 epoxy resin and E-glass woven fabrics with three different fabric geometries (harnesses of 2, 5, and 8) were studied experimentally. The new concepts of warp and fill-fiber volume fractions were introduced. Based on these new concepts, a micromechanical model for predicting the stiffness and strength of composites made of woven fabrics was developed. An experimental program was conducted to evaluate the present model and the new concepts of warp and fill-fiber volume fractions. The results obtained by the new micromechanical model have been compared with the conducted experimental results as well as the experimental data available in the literature, and very good correlations were obtained.
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An, MingShou, Shuang Cao, Hye-Youn Lim, and Dae-Seong Kang. "An enhanced fabric recognition algorithm utilizing advanced data processing techniques." Edelweiss Applied Science and Technology 9, no. 3 (2025): 3000–3003. https://doi.org/10.55214/25768484.v9i3.5900.
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Current fabric recognition techniques often struggle with complex real-world environments due to their limited adaptability and generalization capabilities. To address these challenges, this paper introduces an innovative data processing framework that applies three distinct augmentation methods to training and testing datasets. This approach enhances the model's ability to recognize fabrics in diverse conditions. An optimized MobileNetV3 model is proposed, integrating Early Neural Attention (ENA) to focus on essential image features at an early stage. Furthermore, the conventional bottleneck structure is modified, and the ReLU activation function is replaced with SELU to improve robustness and convergence speed. Comparative experiments validate the improved model's effectiveness, demonstrating notable enhancements in accuracy, precision, recall, and F1-score. These results confirm the model's ability to perform reliably in dynamic and challenging fabric recognition scenarios.