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Relevant bibliographies by topics / Data Fabric

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Academic literature on the topic 'Data Fabric'

Author: Grafiati

Published: 5 June 2025

Last updated: 24 June 2025

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Journal articles on the topic "Data Fabric"

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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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Dissertations / Theses on the topic "Data Fabric"

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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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Júlio, Fábio José Correia. "A layer 2 multipath fabric using a centralized controller." Master's thesis, Faculdade de Ciências e Tecnologia, 2013. http://hdl.handle.net/10362/11139.

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Dissertação para obtenção do Grau de Mestre em Engenharia Electrotécnica e de Computadores<br>Ethernet is the most used L2 protocol in modern datacenters networks. These networks serve many times like the underlying infrastructure for highly virtualised cloud computing services. To support such services the underlying network needs to be prepared to support host mobility and multi-tenant isolation for a high number of hosts while using the available bandwidth e ciently and maintaing the inherent costs low. These important properties are not ensured by Ethernet protocols. The bandwidth is always wasted because the spanning tree protocol is used to calculate paths. Also, the scalability can be an issue because the MAC learning process is based in frame ooding. On layer 3 some of this problems can be solved, but layer 3 is harder to con gure, poses di culties in host mobility and is more expensive. Recent e orts try to bring the advantages of layer 3 to layer 2. Most of them are based in some form of Equal-Cost Multipath (ECMP) to calculate paths on data center network. The solution proposed on this document uses a di erent approach. Paths are calculated using a non-ECMP policy based control-plane that is implemented in an OpenFlow controller. OpenFlow is a new protocol developed to help researchers test their new discovers on real networks without messing with the real tra c. To do that OpenFlow has to be supported by the network's switches. The communication between systems is done by SSL and all switches features are available to the controller. The non-ECMP policy based algorithm is a di erent way to do routing. Instead of using unitary metrics on each link, one policy is chosen for each link. The use of policies opens the possibility to consider very di erent paths as having the same forwarding preference increasing the number of used paths. Our approach uses the recent Backbone Provider Bridging (PBB) standard that adds extra header information to the Ethernet frame and provides isolation between customer and network address space improving scalability.

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Zhang, Yuan. "The Fabric of Entropy: A Discussion on the Meaning of Fractional Information." Thesis, University of North Texas, 2019. https://digital.library.unt.edu/ark:/67531/metadc1538775/.

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Why is the term information in English an uncountable noun, whereas in information theory it is a well-defined quantity? Since the amount of information can be quantified, what is the meaning of a fraction of that amount? This dissertation introduces a quasi-entropy matrix which developed from Claude Shannon's information measure as an analytical tool for behavioral studies. Such matrix emphasizes the role of relative characteristics of individual level data across different collections. The real challenge in the big data era is never the size of the dataset, but how data lead scientists to individuals rather than arbitrarily divided statistical groups. This proposed matrix, when combining with other statistical measures, provides a new and easy-to-do method for identifying pattern in a well-defined system because it is built on the idea that uneven probability distributions lead to decrease in system entropy. Although the matrix is not superior to classical correlation techniques, it allows an interpretation not available with traditional standard statistics. Finally, this matrix connects heterogeneous datasets because it is a frequency-based method and it works on the modes of data rather than the means of values. It also visualizes clustering in data although this type of clustering is not measured by the squared Euclidean distance of the numerical attributes.

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Comstedt, Erik. "Increasing the trust between automotive actors using a Hyperledger Fabric blockchain." Thesis, KTH, Skolan för elektroteknik och datavetenskap (EECS), 2019. http://urn.kb.se/resolve?urn=urn:nbn:se:kth:diva-263100.

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It is a well-established phenomenon that blockchain technology can be applied to reach a consensus between entities which do not trust one another. Moreover, blockchain technology also allows these trustless entities to reach an agreement on a shared ledger. Through its trustless consensus and shared ledger properties, the blockchain technology can provide trust between trustless parties. The present-day automotive industry suffers from several trust issues between the involved parties during a vehicle’s life cycle. In this thesis, it is evaluated whether a blockchain-based solution can be applied to address the trust issues between involved parties in the automotive industry. A proof of concept is implemented using Hyperledger Fabric. In order to evaluate whether the proposed solution can improve trust, in addition to the proposed solution, a centralized database approach is implemented as the baseline which is considered as the traditional solution. A comparison between the two solutions is then carried out. The evaluated aspects in the comparison are security, performance, and usefulness, where security is considered as the most vital aspect. The experiments show that the blockchain-based solution achieves a higher degree of both security and usefulness, whereas the baseline solution (i.e., the database solution) achieves better performance. The overall conclusion of our experiments implies that the blockchain-based solution is significantly more trustworthy than the traditional database implementation. The conclusion is motivated by the fact that the blockchain-based solution is superior in terms of both security and usefulness.<br>Det är ett välkänt faktum att blockkedjeteknik kan utnyttjas för att komma fram till en överenskommelse mellan medlemmar i ett nätverk som nödvändigtvis inte litar på varandra. Utöver detta faktum, har blockkedjetekniken möjliggjort att förtroendelösa medlemmar kan komma till samtycke om en gemensam informationslog. Genom dess förtroendelösa överenskommelseprocess och gemensamma informationslogsegenskaper, kan blockkedjetekniken skapa förtroende mellan förtroendelösa medlemmar. I dagens fordonsindustri finns flera förtroenderelaterade problem mellan olika aktörer under ett fordons livscykel. Den här rapporten utvärderar om en blockkedjebaserad lösning kan appliceras för att lösa de förtroenderelaterade problem som existerar mellan diverse involverade parter under ett fordons livscykel. En implementation för att påvisa konceptet skapas med hjälp av blockkedjeramverket Hyperledger Fabric. För att utvärdera om den föreslagna lösningen kan förbättra förtroende skapas även en alternativ lösning baserad kring en centraliserad databas. En jämförelse mellan de två lösningarna utförs sedan. Då den alternativa lösningen anses vara den traditionella metoden för att lösa problem av denna karaktär, används den alternativa lösningen som en ursprungspunkt för jämförelsen. Jämförelsen utvärderar aspekterna säkerhet, prestanda och användbarhet, där säkerhet anses vara den viktigaste aspekten. Jämförelsen visar att den blockkedjebaserade lösningen uppnår en högre grad av både säkerhet och användbarhet. Medan ursprungslösningen, det vill säga den databasbaserade lösningen, uppnår bättre prestanda. Slutsatsen av våra experiment antyder att den blockkedjebaserade lösningen är betydligt mer förtroendefull än den traditionella databasbaserade lösningen. Slutsatsen motiveras av att den blockkedjebaserade lösningen uppnådde bättre resultat gällande både säkerhet och användbarhet.

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Lek-Uthai, J. "Real-time data monitoring on circular knitting to improve process efficiency and fabric quality." Thesis, University of Manchester, 1998. http://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.488368.

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The quality of the knitted fabric is an important factor in the knitwear industry. On circular knitting machines the fabric quality is improved by using the positive storage feeding device which delivers the length of the yam to the needles in order to form stitches at a constant rate. Yam tension, yam properties and elongation of the yam are important parameters influencing course length in the knitted fabric. However, course length is the most important parameter that determines the dimensions of the knitted fabrics. Therefore, a mathematical analysis was carried out to study the feasibility of using yarn length measurement in order to improve the fabric quality and the process efficiency. A PC based system was created to monitor important information such as yam run-in length, running machine condition, yam breakage, needle breakage, machine and time performance during the normal operation. An addition sensor was installed in order to determine the above parameters. Special hardware and software were developed for monitoring and analysing the knitting process parameters in real-time.

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Ponnakanti, Hari Priya. "A Hyperledger based Secure Data Management and Disease Diagnosis Framework Design for Healthcare." University of Cincinnati / OhioLINK, 2021. http://rave.ohiolink.edu/etdc/view?acc_num=ucin1627662565879478.

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Yan, Zhaohui. "Performance Analysis of A Banyan Based ATM Switching Fabric with Packet Priority." PDXScholar, 1995. https://pdxscholar.library.pdx.edu/open_access_etds/5199.

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Since the emergence of the Asynchronous Transfer Mode ( A TM ) concept, various switching architectures have been proposed. The multistage interconnection networks have been proposed for the switching architecture under the A TM environment. In this thesis, we propose a new model for the performance analysis of an A TM switching fabric based on single-buffered Banyan network. In this model, we use a three-state, i.e., "empty", "new" and "blocked" Markov chain model to describe the behavior of the buffer within a switching element. In addition to traditional statistical analysis including throughput and delay, we also examine the delay variation. Performance results show that the proposed model is more accurate in describing the switch behavior under uniform traffic environment in comparison with the "two-state" Markov chain model developed by Jenq, et. al.[4] [6] . Based on the "three-state" model, we study a packet priority scheme which gives the blocked packet higher priority to be routed forward during contention. It is found that the standard deviation of the network delay is reduced by about 30%.

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DeBenedetto, Louis J. "A Survey of Scalable Real-Time Architectures for Data Acquisition Systems." International Foundation for Telemetering, 1999. http://hdl.handle.net/10150/606834.

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International Telemetering Conference Proceedings / October 25-28, 1999 / Riviera Hotel and Convention Center, Las Vegas, Nevada<br>Today’s large-scale signal processing systems impose massive bandwidth requirements on both internal and external communication systems. Most often, these bandwidth requirements are met by scalable input/output architectures built around high-performance, standards-based technology. Several such technologies are available and are in common use as internal and/or external communication mechanisms. This paper provides an overview of some of the more common scalable technologies used for internal and external communications in real-time data acquisition systems. With respect to internal communications mechanisms this paper focuses on three ANSI-standard switched fabric technologies: RACEway (ANSI/VITA 5-1994), SKYchannel (ANSI/VITA 10-1995) and Myrinet (ANSI/VITA 26-1998). The discussion then turns to how Fibre Channel, HiPPI, and ATM are used to provide scalable external communications in real-time systems. Finally, glimpse of how these technologies are evolving to meet tomorrow’s requirements is provided.

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PETROVICH, EUGENIO. "THE FABRIC OF KNOWLEDGE. TOWARDS A DOCUMENTAL HISTORY OF LATE ANALYTIC PHILOSOPHY." Doctoral thesis, Università degli Studi di Milano, 2019. http://hdl.handle.net/2434/613334.

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The dissertation aims at presenting an innovative approach (called «documental history») to the study of the history of contemporary philosophy, focusing on the case of Late Analytic Philosophy (LAP). The methodological innovation consists in the application of citation analysis techniques, drawn from the field of scientometrics, to the analysis of the structure and the dynamics of LAP. The main empirical results are presented in four scientometric analyses of LAP, which focus, respectively, on the scientometric distributions of LAP, the co-citation mapping of LAP, the epistemological function of citations within LAP, and the aging of LAP literature. The main theoretical result is the «feedback hypothesis», according to which the «documental space» of LAP shapes the intellectual behavior of analytic philosophers. Thus, the documental space of LAP should be accounted as a factor of philosophical change, besides the traditional intellectual and sociological factors. A key aspect of the dissertation is the interdisciplinary integration of distant fields, such as scientometrics, history of philosophy, and philosophy of science.

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Books on the topic "Data Fabric"

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Hechler, Eberhard, Maryela Weihrauch, and Yan Wu. Data Fabric and Data Mesh Approaches with AI. Apress, 2023. http://dx.doi.org/10.1007/978-1-4842-9253-2.

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J, Bowles Kenneth, and NASA Glenn Research Center, eds. Long-term isothermal aging effects on weight loss, compression properties, and dimensions of T650-35 fabric-reinforced PMR-15 composites: Data. NASA Glenn Research Center, 2003.

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J, Bowles Kenneth, and NASA Glenn Research Center, eds. Long-term isothermal aging effects on weight loss, compression properties, and dimensions of T650-35 fabric-reinforced PMR-15 composites: Data. NASA Glenn Research Center, 2003.

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J, Bowles Kenneth, and NASA Glenn Research Center, eds. Long-term isothermal aging effects on weight loss, compression properties, and dimensions of T650-35 fabric-reinforced PMR-15 composites: Data. NASA Glenn Research Center, 2003.

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G, Robertazzi Thomas, and IEEE Communications Society, eds. Performance evaluation of high speed switching fabrics and networks: ATM, broadband ISDN, and MAN technology. IEEE Press, 1993.

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Smith, Alphonso C. "Development of an ultrasonic and Fabry-Perot interferometer for non-destruction inspection of aging aircraft": Final report for NASA Dryden Flight Research Center grant # NAG4-0012. Hampton University, 1998.

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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. Heinz Nixdorf Institut, 2002.

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Office, General Accounting. Consumer Product Safety Commission: Better data needed to help identify and analyze potential hazards : report to the Chairmen, Committee on Commerce, Science, and Transportation, U.S. Senate, and Committee on Commerce, House of Representatives. The Office, 1997.

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Office, General Accounting. International trade: Romanian trade data : report to the chairman, Committee on Finance, U.S. Senate. The Office, 1992.

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1945-, House Donald, and Breen David E. 1960-, eds. Cloth modeling and animation. A K Peters, 2000.

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Book chapters on the topic "Data Fabric"

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Ghosh, Debananda. "Data Integration for Office Users." In Mastering Microsoft Fabric. Apress, 2024. http://dx.doi.org/10.1007/979-8-8688-0131-0_6.

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Ghosh, Debananda. "Data Warehousing in Microsoft Fabric." In Mastering Microsoft Fabric. Apress, 2024. http://dx.doi.org/10.1007/979-8-8688-0131-0_5.

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Ghosh, Debananda. "Microsoft Fabric for Data Scientists." In Mastering Microsoft Fabric. Apress, 2024. http://dx.doi.org/10.1007/979-8-8688-0131-0_4.

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Hechler, Eberhard, Maryela Weihrauch, and Yan Wu. "Data Fabric Architecture Patterns." In Data Fabric and Data Mesh Approaches with AI. Apress, 2023. http://dx.doi.org/10.1007/978-1-4842-9253-2_10.

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Ghosh, Debananda. "OneLake and Lakehouses for Data Engineers." In Mastering Microsoft Fabric. Apress, 2024. http://dx.doi.org/10.1007/979-8-8688-0131-0_3.

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Marai, G. Elisabeta, and Torsten Möller. "The Fabric of Visualization." In Foundations of Data Visualization. Springer International Publishing, 2020. http://dx.doi.org/10.1007/978-3-030-34444-3_1.

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Hechler, Eberhard, Maryela Weihrauch, and Yan Wu. "Terminology: Data Fabric and Data Mesh." In Data Fabric and Data Mesh Approaches with AI. Apress, 2023. http://dx.doi.org/10.1007/978-1-4842-9253-2_2.

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Hechler, Eberhard, Maryela Weihrauch, and Yan Wu. "Data Fabric Within an Enterprise Architecture." In Data Fabric and Data Mesh Approaches with AI. Apress, 2023. http://dx.doi.org/10.1007/978-1-4842-9253-2_11.

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Hechler, Eberhard, Maryela Weihrauch, and Yan Wu. "Data Fabric and Data Mesh Research Areas." In Data Fabric and Data Mesh Approaches with AI. Apress, 2023. http://dx.doi.org/10.1007/978-1-4842-9253-2_17.

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Hechler, Eberhard, Maryela Weihrauch, and Yan Wu. "Key Data Fabric and Data Mesh Capabilities." In Data Fabric and Data Mesh Approaches with AI. Apress, 2023. http://dx.doi.org/10.1007/978-1-4842-9253-2_5.

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Conference papers on the topic "Data Fabric"

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Kumar, Abhishek, Lauri Lovén, Susanna Pirttikangas, and Sasu Tarkoma. "Data Fabric for Industrial Metaverse." In 2024 IEEE 44th International Conference on Distributed Computing Systems Workshops (ICDCSW). IEEE, 2024. http://dx.doi.org/10.1109/icdcsw63686.2024.00022.

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Castro, Jose, Bulent Kose, Robert Reid, et al. "Photonic Chip with Embedded Data Center Fabric." In Optical Fiber Communication Conference. Optica Publishing Group, 2025. https://doi.org/10.1364/ofc.2025.w2a.36.

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We demonstrate 3D direct laser-written photonic integrated circuits for deployment of folded CLOS topologies in data center networks. Optical characterization includes losses, crosstalk, spectral responses, and traffic at 400Gbps.

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Taufer, Michela, Heberth Martinez, Aashish Panta, et al. "Leveraging National Science Data Fabric Services to Train Data Scientists." In SC24-W: Workshops of the International Conference for High Performance Computing, Networking, Storage and Analysis. IEEE, 2024. https://doi.org/10.1109/scw63240.2024.00053.

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Powiwi, Reynhard, Tjokorda Agung Budi Wirayuda, and Febryanti Sthevanie. "Patterned Fabric Defect Detection Based on Separate Convolutional Unet." In 2024 International Conference on Data Science and Its Applications (ICoDSA). IEEE, 2024. http://dx.doi.org/10.1109/icodsa62899.2024.10651778.

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Prathima, Ch, Mahanandi Y, K.Madhumitha, K. Hari Haran, K.Manisha, and J. Hanshith. "Smart Fabric Inspection: Leveraging Deep Learning for Defect Detection." In 2025 International Conference on Data Science, Agents & Artificial Intelligence (ICDSAAI). IEEE, 2025. https://doi.org/10.1109/icdsaai65575.2025.11011778.

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Pulivarthi, Divya, S. R. Eshwar, Gugan Thoppe, et al. "Towards Optimizing Hyperledger Fabric Performance through Strategic Waiting." In 2024 IEEE 31st International Conference on High Performance Computing, Data and Analytics Workshop (HiPCW). IEEE, 2024. https://doi.org/10.1109/hipcw63042.2024.00070.

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Jia, Wei, and Siyuan Wang. "Research on Robot Assembly Traceability System based on Fabric." In 2024 IEEE 4th International Conference on Information Technology, Big Data and Artificial Intelligence (ICIBA). IEEE, 2024. https://doi.org/10.1109/iciba62489.2024.10868370.

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Schieffer, Gabin, Ruimin Shi, Stefano Markidis, Andreas Herten, Jennifer Faj, and Ivy Peng. "Understanding Data Movement in AMD Multi-GPU Systems with Infinity Fabric." In SC24-W: Workshops of the International Conference for High Performance Computing, Networking, Storage and Analysis. IEEE, 2024. https://doi.org/10.1109/scw63240.2024.00079.

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Li, Xixi, and Qianming Zhou. "YOLOv8-WBE: A Fabric Defect Detection Algorithm Integrating Frequency Domain Features." In 2024 IEEE 4th International Conference on Information Technology, Big Data and Artificial Intelligence (ICIBA). IEEE, 2024. https://doi.org/10.1109/iciba62489.2024.10869068.

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Liu, Kang, Mingchuan Yang, Xinchi Li, Kaicheng Zhang, Xiaoqing Xia, and Hui Yan. "M-Data-Fabric: A Data Fabric System Based on Metadata." In 2022 IEEE 5th International Conference on Big Data and Artificial Intelligence (BDAI). IEEE, 2022. http://dx.doi.org/10.1109/bdai56143.2022.9862807.

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Reports on the topic "Data Fabric"

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Zhuang, Y., D. Shi, R. Gu, and H. Ananthakrishnan. A YANG Data Model for Fabric Topology in Data-Center Networks. RFC Editor, 2019. http://dx.doi.org/10.17487/rfc8542.

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Rose, Kelly, Jennifer Bauer, Tom Feeley, et al. Integrating Applied Energy and BER Smart Data Capabilities to Develop a DOE Data Fabric for Energy-Water R&D. Office of Scientific and Technical Information (OSTI), 2021. http://dx.doi.org/10.2172/1769726.

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Lippert, David, Marshall Thompson, and Charles Wienrank. Performance of Interstate Rubblization in Illinois. Illinois Center for Transportation, 2021. http://dx.doi.org/10.36501/0197-9191/21-005.

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In Illinois, hot-mix asphalt overlaid concrete pavements typically exhibit reflective cracking of joints and cracks from the pavement below, resulting in shortened life and maintenance issues. Over the years, various patching, fabric, and crack and seat techniques were attempted with few positive results. This led to more aggressive techniques to eliminate the slab action of the concrete pavement where the pavement would be broken or rubblized into pieces typically less than 12 inches. Since the first rubblizing project in 1990, policy, procedures, and specifications have evolved to the point that rubblization is the mainstream option in dealing with problematic concrete pavements. This report summarizes the performance of several interstate rubblizing projects in Illinois by analyzing available data in Illinois Department of Transportation’s pavement management system. Condition rating survey data allowed the serviceability of these projects to be evaluated by surface mix types and asphalt performance grades. Traffic in the form of 18,000 lb equivalent single axle loads was determined for the projects to evaluate fatigue and rutting as well as compare section performance to the design procedure. The research team reviewed plans, design procedures, and specifications to determine best practices and identify where improvements might be made. Data showed that the use of stone matrix asphalt surface mixtures and mixes using PGXX-28 asphalt binders provides improved performance. Overall, rubblizing has shown good to excellent performance. To provide additional life with improved performance, recommendations include adopting softer asphalt grades, increasing the use of stone matrix asphalt, and improving procedures for protecting culverts.

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Honegger, Wijewickreme, and Monroy. L52325 Assessment of Geosynthetic Fabrics to Reduce Soil Loads on Buried Pipelines - Phase I and II. Pipeline Research Council International, Inc. (PRCI), 2011. http://dx.doi.org/10.55274/r0010398.

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High soil loads on buried pipelines can lead to unacceptably high pipeline strains developed in response to permanent ground displacement. Common causes of permanent ground displacement are related to slope instability as a result of heavy precipitation or ground subsidence. In addition, several permanent ground displacement hazards are related to earthquakes including surface fault displacement, triggered landslide movement, surface ground settlement related to liquefaction, and lateral spread displacement. Result: Four specific areas of investigation were completed: 1.Performed baseline tests in moist sand to confirm minimal difference in horizontal soil restraint between moist and dry sand. 2.Performed tests to gauge the variation in horizontal load reduction with separation between the pipe and an inclined trench wall lined with two layers of geotextile. 3.Performed tests in compacted 19 mm (0.75 in) minus sand and crushed limestone (referred to locally in British Columbia as road mulch) to attempt to provide larger difference between horizontal forces developed with and without lining a trench wall with geotextile. 4.Performed tests to attempt to confirm oblique horizontal-axial soil restraint behavior reported in small-scale tests and centrifuge tests. Benefit: Rather than undertake further physical testing to better understand how the presence of single or dual layers of geotextile fabric changes the mechanisms by which soil restraint develops for horizontal ground displacement, future efforts should focus on numerical simulation preferably using discrete element methods. Until full-scale test data are available to confirm consistent prediction of oblique horizontal-axial soil restraint, the practice of treating horizontal and axial soil springs independently in the analysis of buried pipeline response to ground displacement, as is the current practice, should be maintained.

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Joly, Kyle, Matthew Cameron, Matthew Cameron, and Kyle Joly. Caribou vital sign annual report for the Arctic Network Inventory and Monitoring Program: September 2023?August 2024. National Park Service, 2024. http://dx.doi.org/10.36967/2306687.

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Caribou (Rangifer tarandus) are an integral part of the ecological and cultural fabric of northwest Alaska. Western Arctic Herd (WAH) caribou roam this entire region, including all 5 Arctic Network (ARCN) Inventory and Monitoring Program?s National Park units. Conservation of healthy caribou populations is specifically mentioned within the enabling legislation (Alaska National Interested Lands Conservation Act) for 3 of these units and is of importance to subsistence hunters. Caribou are, by far, the most abundant large mammal in northwest Alaska and are famous for their long-distance migrations and large population oscillations. For these reasons, ARCN chose WAH caribou as a Vital Sign for long-term monitoring. We document monitoring results of this Vital Sign during its 15th year (September 2023?August 2024). Results from the previous years are also included for ease of comparison. Periodic syntheses of these data will be performed and reported on. National Park Service (NPS) monitoring of the WAH is done in conjunction and cooperation with the Alaska Department of Fish and Game (ADFG). This report includes data funded by the ADFG dating back to September 2013. This year was chosen because it is when the ADFG started deploying a substantial number of Global Positioning System (GPS) collars on an 8-hour relocation schedule. Monitoring of the herd relies heavily on the use of GPS collars capable of transmitting location data to a satellite. Given the extremely remote area that the WAH inhabits, this system provides the most efficient and accurate means to track individual caribou. These data are utilized to monitor the timing and location of migrations, as well as seasonal distributions of WAH caribou. Monitoring movement and its phenology is perhaps the simplest means to track the influences of climate change, natural perturbations, development, and other potential impacts?which is outside the scope of this report. This report also documents the NPS commitment and involvement with the WAH Working Group. The group is composed of important stakeholders including representatives for rural villages, sport hunters, conservationists, hunting guides, hunting transporters, and reindeer herders. In addition, all the agencies charged with managing the WAH, including the ADFG, NPS, US Fish and Wildlife Service and Bureau of Land Management, serve as advisors to the group. Information gathered by the Caribou Vital Sign monitoring program is intended to supplement and complement existing data streams gathered by the other cooperating agencies and will be important in future management decisions.

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Joly, Kyle, and Matthew Cameron. Caribou vital sign annual report for the Arctic Network Inventory and Monitoring Program: September 2022?August 2023. National Park Service, 2023. http://dx.doi.org/10.36967/2301773.

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Caribou (Rangifer tarandus) are an integral part of the ecological and cultural fabric of northwest Alaska. Western Arctic Herd (WAH) caribou roam over this entire region, including all 5 Arctic Network (ARCN) Inventory and Monitoring Program?s National Park units. Conservation of healthy caribou populations is specifically mentioned within the enabling legislation (Alaska National Interested Lands Conservation Act or ANILCA) for 3 of these park units and is of importance to subsistence hunters. Caribou are, by far, the most abundant large mammal in northwest Alaska and are famous for their long-distance migrations and large population oscillations. For these reasons, the ARCN parks chose WAH caribou as a Vital Sign for long-term monitoring. This report documents the monitoring results of this Vital Sign during its 14th year (September 2022?August 2023) of implementation. Results from the previous years of monitoring are also included for ease of comparison. Periodic syntheses of these data will be performed and reported on as appropriate. National Park Service (NPS) monitoring of the WAH is done in conjunction and cooperation with the Alaska Department of Fish and Game (ADFG). Thanks to a 2015 data sharing agreement, the report includes data funded by the ADFG dating back to September 2013. That particular year was chosen as it represents when the ADFG started deploying a substantial number of GPS collars on an 8-hour relocation schedule. Monitoring of the herd relies heavily on the use of Global Positioning System (GPS) radio telemetry collars that are capable of transmitting location data to a satellite. Given the extremely remote area that the WAH inhabits, this system provides the most efficient and accurate means to track individual caribou. These data are utilized to monitor the timing and location of migrations, as well as seasonal distributions of WAH caribou. Monitoring movement and the phenology of movement is perhaps the simplest means to track the influences of climate change, natural perturbations, development, and other potential impacts on a species?an analysis of which is outside the scope of this current report. This report also documents the NPS commitment and involvement with the WAH Working Group. The group is composed of important stakeholders including representatives for rural villages, sport hunters, conservationists, hunting guides, hunting transporters, and reindeer herders. In addition, all the agencies charged with managing the WAH, including the ADFG, NPS, US Fish and Wildlife Service (FWS) and Bureau of Land Management (BLM), serve as advisors to the group. Information gathered by the Caribou Vital Sign monitoring program are intended to supplement and complement existing data streams gathered by the other cooperating agencies and will be important in future management decisions.

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Mayne, Alison, Christina Noble, Paula Duffy, et al. Navigating Digital Ethics for Rural Research: Guidelines and recommendations for researchers and administrators of social media groups. DigiEthics: Navigating Digital Ethics for Rural Research, 2023. http://dx.doi.org/10.57064/2164/22326.

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Social media creates new spaces for connecting people digitally and provides a forum for the exchange of information and discussion. Online spaces such as Facebook groups (FGs) have become part of the fabric of social interaction in many rural areas, with both residents and others living away from the community maintaining a connection in the virtual space. Community FGs are routinely used to share place-based information about resources, events or issues, and to discuss topics of shared interest. In research, these groups allow researchers to connect directly with people who have an interest in what happens within specific communities and offer rich opportunities for participants to likewise engage with research. We can reflect on how FGs in rural communities have the potential to enhance and/or complement existing approaches by making research with dispersed communities more accessible and affordable, while considering challenges around confidentiality and digital inclusion given the characteristics and size of the population. Social media has developed at pace during the last decade, and digital ethics is a shifting methods sub-field that poses challenges to social sciences and humanities researchers. Apart from platforms’ changing terms and conditions, research with and on social media groups has specific ethical challenges (e.g. around anonymity, confidentiality, and data access) that require tailored consideration. In particular, when approaching netnography and similar methods with social media groups, dialogic approaches which aim to engage, respect and protect participants are critical. There is consensus on the need to agree the access conditions with the group administrator as a first step, but there is no guidance on good practice on developing these conditions. To create these guidelines, we have worked collaboratively across disciplines and with administrators of Facebook groups to explore what such process could look like: aspects to address, pros and cons of potential approaches, and potential challenges and solutions.

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Bray, Jonathan, Ross Boulanger, Misko Cubrinovski, et al. U.S.—New Zealand— Japan International Workshop, Liquefaction-Induced Ground Movement Effects, University of California, Berkeley, California, 2-4 November 2016. Pacific Earthquake Engineering Research Center, University of California, Berkeley, CA, 2017. http://dx.doi.org/10.55461/gzzx9906.

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There is much to learn from the recent New Zealand and Japan earthquakes. These earthquakes produced differing levels of liquefaction-induced ground movements that damaged buildings, bridges, and buried utilities. Along with the often spectacular observations of infrastructure damage, there were many cases where well-built facilities located in areas of liquefaction-induced ground failure were not damaged. Researchers are working on characterizing and learning from these observations of both poor and good performance. The “Liquefaction-Induced Ground Movements Effects” workshop provided an opportunity to take advantage of recent research investments following these earthquake events to develop a path forward for an integrated understanding of how infrastructure performs with various levels of liquefaction. Fifty-five researchers in the field, two-thirds from the U.S. and one-third from New Zealand and Japan, convened in Berkeley, California, in November 2016. The objective of the workshop was to identify research thrusts offering the greatest potential for advancing our capabilities for understanding, evaluating, and mitigating the effects of liquefaction-induced ground movements on structures and lifelines. The workshop also advanced the development of younger researchers by identifying promising research opportunities and approaches, and promoting future collaborations among participants. During the workshop, participants identified five cross-cutting research priorities that need to be addressed to advance our scientific understanding of and engineering procedures for soil liquefaction effects during earthquakes. Accordingly, this report was organized to address five research themes: (1) case history data; (2) integrated site characterization; (3) numerical analysis; (4) challenging soils; and (5) effects and mitigation of liquefaction in the built environment and communities. These research themes provide an integrated approach toward transformative advances in addressing liquefaction hazards worldwide. The archival documentation of liquefaction case history datasets in electronic data repositories for use by the broader research community is critical to accelerating advances in liquefaction research. Many of the available liquefaction case history datasets are not fully documented, published, or shared. Developing and sharing well-documented liquefaction datasets reflect significant research efforts. Therefore, datasets should be published with a permanent DOI, with appropriate citation language for proper acknowledgment in publications that use the data. Integrated site characterization procedures that incorporate qualitative geologic information about the soil deposits at a site and the quantitative information from in situ and laboratory engineering tests of these soils are essential for quantifying and minimizing the uncertainties associated site characterization. Such information is vitally important to help identify potential failure modes and guide in situ testing. At the site scale, one potential way to do this is to use proxies for depositional environments. At the fabric and microstructure scale, the use of multiple in situ tests that induce different levels of strain should be used to characterize soil properties. The development of new in situ testing tools and methods that are more sensitive to soil fabric and microstructure should be continued. The development of robust, validated analytical procedures for evaluating the effects of liquefaction on civil infrastructure persists as a critical research topic. Robust validated analytical procedures would translate into more reliable evaluations of critical civil infrastructure iv performance, support the development of mechanics-based, practice-oriented engineering models, help eliminate suspected biases in our current engineering practices, and facilitate greater integration with structural, hydraulic, and wind engineering analysis capabilities for addressing multi-hazard problems. Effective collaboration across countries and disciplines is essential for developing analytical procedures that are robust across the full spectrum of geologic, infrastructure, and natural hazard loading conditions encountered in practice There are soils that are challenging to characterize, to model, and to evaluate, because their responses differ significantly from those of clean sands: they cannot be sampled and tested effectively using existing procedures, their properties cannot be estimated confidently using existing in situ testing methods, or constitutive models to describe their responses have not yet been developed or validated. Challenging soils include but are not limited to: interbedded soil deposits, intermediate (silty) soils, mine tailings, gravelly soils, crushable soils, aged soils, and cemented soils. New field and laboratory test procedures are required to characterize the responses of these materials to earthquake loadings, physical experiments are required to explore mechanisms, and new soil constitutive models tailored to describe the behavior of such soils are required. Well-documented case histories involving challenging soils where both the poor and good performance of engineered systems are documented are also of high priority. Characterizing and mitigating the effects of liquefaction on the built environment requires understanding its components and interactions as a system, including residential housing, commercial and industrial buildings, public buildings and facilities, and spatially distributed infrastructure, such as electric power, gas and liquid fuel, telecommunication, transportation, water supply, wastewater conveyance/treatment, and flood protection systems. Research to improve the characterization and mitigation of liquefaction effects on the built environment is essential for achieving resiliency. For example, the complex mechanisms of ground deformation caused by liquefaction and building response need to be clarified and the potential bias and dispersion in practice-oriented procedures for quantifying building response to liquefaction need to be quantified. Component-focused and system-performance research on lifeline response to liquefaction is required. Research on component behavior can be advanced by numerical simulations in combination with centrifuge and large-scale soil–structure interaction testing. System response requires advanced network analysis that accounts for the propagation of uncertainty in assessing the effects of liquefaction on large, geographically distributed systems. Lastly, research on liquefaction mitigation strategies, including aspects of ground improvement, structural modification, system health monitoring, and rapid recovery planning, is needed to identify the most effective, cost-efficient, and sustainable measures to improve the response and resiliency of the built environment.

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Taylor. NR199202 Fiber Optic Fabry-Perot Sensors for Combustion Chamber Monitor. Pipeline Research Council International, Inc. (PRCI), 1992. http://dx.doi.org/10.55274/r0011145.

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Presently, there is no way to continuously measure pressure and temperature in engines over extended periods of operation. Reliable fiber optic sensor networks supplying data to computerized engine control systems could lead to fuel economies in the millions of dollars per year. The goal of this project is to demonstrate the utilization of a new fiber optic sensor technology in engines used for the pumping of natural gas.

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Tan, Peng, and Nicholas Sitar. Parallel Level-Set DEM (LS-DEM) Development and Application to the Study of Deformation and Flow of Granular Media. Pacific Earthquake Engineering Research Center, University of California, Berkeley, CA, 2023. http://dx.doi.org/10.55461/kmiz5819.

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We present a systematic investigation of computational approaches to the modeling of granular materials. Granular materials are ubiquitous in everyday life and in a variety of engineering and industrial applications. Despite the apparent simplicity of the laws governing particle-scale interactions, predicting the continuum mechanical response of granular materials still poses extraordinary challenges. This is largely due to the complex history dependence resulting from continuous rearrangement of the microstructure of granular material, as well as the mechanical interlocking due to grain morphology and surface roughness. X-Ray Computed Tomography (XRCT) is used to characterize the grain morphology and the fabric of the granular media, naturally deposited sand in this study. The Level-Set based Discrete Element Method (LS-DEM) is then used to bridge the granular behavior gap between the micro and macro scale. The LS-DEM establishes a one-to-one correspondence between granular objects and numerical avatars and captures the details of grain morphology and surface roughness. However, the high-fidelity representation significantly increases the demands on computational resources. To this end a parallel version of LS-DEM is introduced to significantly decrease the computational demands. The code employs a binning algorithm, which reduces the search complexity of contact detection from O(n2) to O(n), and a domain decomposition strategy is used to elicit parallel computing in a memory- and communication-efficient manner. The parallel implementation shows good scalability and efficiency. High fidelity LS avatars obtained from XRCT images of naturally deposited sand are then used to replicate the results of triaxial tests using the new, parallel LS-DEM code. The result show that both micro- and macro-mechanical behavior of natural material is well captured and is consistent with experimental data, confirming experimental observation that the primary source of peak strength of sand is the mechanical interlocking between irregularly shaped grains. Specifically, triaxial test simulations with a flexible membrane produce a very good match to experimentally observed relationships between deviatoric stress and mobilized friction angle for naturally deposited sand. We then explore the viability of modeling dynamic problems with a new formulation of an impulse based LS-DEM. The new formulation is stable, fast, and energy conservative. However, it can be numerically stiff when the assembly has substantial mass differences between particles. We also demonstrate the feasibility of modeling deformable structures in the rigid body framework and propose several enhancements to improve the convergence of collision resolution, including a hybrid time integration scheme to separately handle at rest contacts and dynamic collisions. Finally, we extend the impulse-based LS-DEM to include arbitrarily shaped topographic surfaces and exploit its algorithmic advantages to demonstrate the feasibility of modeling realistic behavior of granular flows. The novel formulation significantly improves performance of dynamic simulations by allowing larger time steps, which is advantageous for observing the full development of physical phenomena such as rock avalanches, which we present as an illustrative example.

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