Relevant bibliographies by topics / Scaling

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Academic literature on the topic 'Scaling'

Author: Grafiati

Published: 4 June 2021

Last updated: 26 October 2024

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Journal articles on the topic "Scaling"

Llave, Rafael de la, Arturo Olvera, and Nikola P. Petrov. "Universal scalings of universal scaling exponents." Journal of Physics A: Mathematical and Theoretical 40, no. 23 (May 22, 2007): F427—F434. http://dx.doi.org/10.1088/1751-8113/40/23/f02.

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Zota, Cezar B., Lukas Czornomaz, Jean Fompeyrine, and Stefan Abel. "Scaling without scaling." Europhysics News 49, no. 5-6 (September 2018): 22–25. http://dx.doi.org/10.1051/epn/2018504.

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Microelectronics is as pervasive as it is invisible. It is however impacting every moment and aspect of our daily lives and has radically transformed all industries. Yet, this adventure began only about 60 years ago, with the first integrated circuits by J. Kilby and R. Noyce.

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Deiminiat, Akram, and Li Li. "Experimental Study on the Reliability of Scaling Down Techniques Used in Direct Shear Tests to Determine the Shear Strength of Rockfill and Waste Rocks." CivilEng 3, no. 1 (January 8, 2022): 35–50. http://dx.doi.org/10.3390/civileng3010003.

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The determination of shear strength parameters for coarse granular materials such as rockfill and waste rocks is challenging due to their oversized particles and the minimum required ratio of 10 between the specimen width (W) and the maximum particle size (dmax) of tested samples for direct shear tests. To overcome this problem, a common practice is to prepare test samples by excluding the oversized particles. This method is called the scalping scaling down technique. Making further modifications on scalped samples to achieve a specific particle size distribution curve (PSDC) leads to other scaling down techniques. Until now, the parallel scaling down technique has been the most popular and most commonly applied, generally because it produces a PSDC parallel and similar to that of field material. Recently, a critical literature review performed by the authors revealed that the methodology used by previous researchers to validate or invalidate the scaling down techniques in estimating the shear strength of field materials is inappropriate. The validity of scaling down techniques remains unknown. In addition, the minimum required W/dmax ratio of 10, stipulated in ASTM D3080/D3080M-11 for direct shear tests, is not large enough to eliminate the specimen size effect (SSE). The authors’ recent experimental study showed that a minimum W/dmax ratio of 60 is necessary to avoid any SSE in direct shear tests. In this study, a series of direct shear tests were performed on samples with different dmax values, prepared by applying scalping and parallel scaling down techniques. All tested specimens had a W/dmax ratio equal to or larger than 60. The test results of the scaled down samples with dmax values smaller than those of field samples were used to establish a predictive equation between the effective internal friction angle (hereafter named “friction angle”) and dmax, which was then used to predict the friction angles of the field samples. Comparisons between the measured and predicted friction angles of field samples demonstrated that the equations based on scalping scaling down technique correctly predicted the friction angles of field samples, whereas the equations based on parallel scaling down technique failed to correctly predict the friction angles of field samples. The scalping down technique has been validated, whereas the parallel scaling down technique has been invalidated by the experimental results presented in this study.

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Crichlow, Camille. "Scaling Up, Scaling Down." A Peer-Reviewed Journal About 12, no. 1 (September 7, 2023): 11–25. http://dx.doi.org/10.7146/aprja.v12i1.140433.

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This article explores the shifting perceptual scales of racial epistemology and anti-blackness in predictive policing technology. Following Paul Gilroy, I argue that the historical production of racism and anti-blackness has always been deeply entwined with questions of scale and perception. Where racialisation was once bound to the anatomical scale of the body, Thao Than and Scott Wark’s conceptualisation of “racial formations as data formations” inform insights into the ways in which “race”, or its 21st century successor, is increasingly being produced as a cultivation of post-visual, data-driven abstractions. I build upon analysis of this phenomena in the context of predictive policing, where analytically derived “patrol zones” produce virtual barriers that divide civilian from suspect. Beyond a “garbage in, garbage out” critique, I explore the ways in which predictive policing instils racialisation as an epiphenomenon of data-generated proxies. By way of conclusion, I analyse American Artist’s 21-minute video installation 2015 (2019), which depicts the point of view of a police patrol car equipped with a predictive policing device, to parse the scales upon which algorithmic regimes of racial domination are produced and resisted.

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Carroll, J. Douglas, Paul E. Green, and Catherine M. Schaffer. "Comparing Interpoint Distances in Correspondence Analysis: A Clarification." Journal of Marketing Research 24, no. 4 (November 1987): 445–50. http://dx.doi.org/10.1177/002224378702400414.

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In a recent JMR article, the authors described and illustrated a correspondence analysis scaling that permitted both within-set and between-set squared distance comparisons. This note clarifies the relationship between the proposed scaling and another scaling (popular among the “French school” of data analysts) in which the diagonal matrix of singular values is applied to both X and Y coordinates. Using a data set from Greenacre, the authors examine conceptual and empirical contrasts among three alternative scalings.

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ALBAYRAK SARI, Aylin, and Hülya KELECİOĞLU. "Assessment of Achievement and Growth by Vertical Scaling: Comparison of Vertical Scaling Methods." Journal of Educational Sciences Research 6, no. 2 (October 30, 2016): 25–38. http://dx.doi.org/10.12973/jesr.2016.62.2.

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Hinrichsen, Don. "Scaling Up by Scaling Down." Nature Biotechnology 3, no. 4 (April 1985): 313–15. http://dx.doi.org/10.1038/nbt0485-313.

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Xie, Wenda, Ting Shi, Bing Ge, and Shusheng Zang. "Effects of scaling laws on flow and combustion characteristics of lean premixed swirl burners." Journal of the Global Power and Propulsion Society 6 (December 20, 2022): 343–53. http://dx.doi.org/10.33737/jgpps/156121.

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Modern heavy gas turbine combustors are always huge, so it is difficult and costly to do experiment. Thus, geometry scaling method has come into sight. In this paper, based on a single lean premixed swirl burner, validated computational fluid dynamic (CFD) model was used to study the effects of different scaling laws on various scalling models from 1/2 to 1/10. Experimental study on prototype combustor and the 3/5 scale model under full operating condition is also carried out to verify the NOx emission under different laws. Results showed that DaI scaling law was able to maintain good similarity under combustion state when scaling factor = 1/2–1/5, while Re scaling law would bring significant changes on flow and flame characteristics. The emission of NOx is also similar to prototype by using Da<sc>i</sc> law. But Re law could keep flow characteristics under non-combustion state. It is suggested that Dai law is suitable for lean premixed swirl combustor geometry scaling.

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Adams, Wendy, John P. Frisby, David Buckley, Jonas Gårding, Stephen D. Hippisley-Cox, and John Porrill. "Pooling of Vertical Disparities by the Human Visual System." Perception 25, no. 2 (February 1996): 165–76. http://dx.doi.org/10.1068/p250165.

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Two experiments are described in which the effects of scaling vertical disparities on the perceived amplitudes of dome-shaped surfaces depicted with horizontal disparities were examined. The Mayhew and Longuet-Higgins's theory and the regional-disparity-correction theory of Gar̊ding et al predict that scaling should generate a change in perceived depth appropriate to the viewing distance simulated by the scaled vertical disparities. Significant depth changes were observed, by means of a nulling task in which the vertical-disparity-scaling effect was cancelled by the observer choosing a pattern of horizontal disparities that made the dome-shaped surface appear flat. The sizes of the scaling effects were less than those predicted by either theory, suggesting that other cues to fixation distance such as oculomotor information played an appreciable role. In conditions in which 50% of the texture elements were given one value of vertical-disparity scaling and the remaining 50% were left unscaled, the size of the scaling effect on perceived depth could be accounted for by equally weighted pooling of the vertical-disparity information unless the two scalings were very dissimilar, in which case the lower scaling factor tended to dominate. These findings are discussed in terms of a Hough parameter estimation model of the vertical-disparity-pooling process.

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Drennan, William M., Peter K. Taylor, and Margaret J. Yelland. "Parameterizing the Sea Surface Roughness." Journal of Physical Oceanography 35, no. 5 (May 1, 2005): 835–48. http://dx.doi.org/10.1175/jpo2704.1.

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Abstract The concept of an “equivalent surface roughness” over the ocean is useful in understanding the relation between wind speed (at some height) and the net momentum flux from air to sea. The relative performance of different physics-motivated scalings for this roughness can provide valuable guidance as to which mechanisms are important under various conditions. Recently, two quite different roughness length scalings have been proposed. Taylor and Yelland presented a simple formula based on wave steepness, defined as the ratio of significant wave height to peak wavelength, to predict the surface roughness. A consequence of this formula is that roughness changes due to fetch or duration limitations are small, an order of 10%. The wave steepness formula was proposed as an alternative to the classical wave-age scaling first suggested by Kitaigorodskii and Volkov. Wave-age scaling, in contrast to steepness scaling, predicts order-of-magnitude changes in roughness associated with fetch or duration. The existence of two scalings, with different roughness predictions in certain conditions, has led to considerable confusion among certain groups. At several recent meetings, including the 2001 World Climate Research Program/Scientific Committee on Oceanic Research (WCRP/SCOR) workshop on the intercomparison and validation of ocean–atmosphere flux fields, proponents of the two scalings met with the goal of understanding the merits and limitations of each scaling. Here the results of these efforts are presented. The two sea-state scalings are tested using a composite of eight datasets representing a wide range of conditions. In conditions with a dominant wind-sea component, both scalings were found to yield improved estimates when compared with a standard bulk formulation. In general mixed sea conditions, the steepness formulation was preferred over both bulk and wave-age scalings, while for underdeveloped “young” wind sea, the wave-age formulation yields the best results. Neither sea-state model was seen to perform well in swell-dominated conditions where the steepness was small, but the steepness model did better than the wave-age model for swell-dominated conditions where the steepness exceeded a certain threshold.

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Dissertations / Theses on the topic "Scaling"

Sendrowski, Janek. "Feigenbaum Scaling." Thesis, Linnéuniversitetet, Institutionen för matematik (MA), 2020. http://urn.kb.se/resolve?urn=urn:nbn:se:lnu:diva-96635.

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In this thesis I hope to provide a clear and concise introduction to Feigenbaum scaling accessible to undergraduate students. This is accompanied by a description of how to obtain numerical results by various means. A more intricate approach drawing from renormalization theory as well as a short consideration of some of the topological properties will also be presented. I was furthermore trying to put great emphasis on diagrams throughout the text to make the contents more comprehensible and intuitive.

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Bertrand, Allison R., Todd A. Newton, and Thomas B. Grace. "iNET System Management Scaling." International Foundation for Telemetering, 2010. http://hdl.handle.net/10150/604307.

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ITC/USA 2010 Conference Proceedings / The Forty-Sixth Annual International Telemetering Conference and Technical Exhibition / October 25-28, 2010 / Town and Country Resort & Convention Center, San Diego, California
The integration of standard networking technologies into the test range allows for more capable and complex systems. As System Management provides the capability for dynamic allocation of resources, it is critical to support the level of network flexibility envisioned by the integrated Network-Enhanced Telemetry (iNET) project. This paper investigates the practical performance of managing the Telemetry Network System (TmNS) using the Simple Network Management Protocol (SNMP). It discusses the impacts and benefits of System Management as the size of the TmNS scales from small to large and as distributed and centralized management styles are applied. To support dynamic network states, it is necessary to be able to both collect the current status of the network and command (or modify the configuration of) the network. The management data needs to travel both ways over the telemetry link (in limited bandwidth) without interfering with critical data streams. It is important that the TmNS's status is collected in a timely manner so that the engineers are aware of any equipment failures or other problems; it is also imperative that System Management does not adversely affect the real-time delivery of data. This paper discusses measurements of SNMP traffic under various loading conditions. Statistics considered will include the performance of SNMP commands, queries, and events under various test article and telemetry network loads and the bandwidth consumed by SNMP commands, queries, and events under various conditions (e.g., pre-configuration, normal operation, and device error).

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Kulakov, Y., and R. Rader. "Computing Resources Scaling Survey." Thesis, Sumy State University, 2017. http://essuir.sumdu.edu.ua/handle/123456789/55750.

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The results of the survey about usage of scalable environment, peak workloads management and automatic scaling configuration among IT companies are presented and discussed in this paper. The hypothesis that most companies use automatic scaling based on static thresholds is checked. The insight into the most popular setups of manual and automatic scalable systems on the market is given.

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Ricciardi, Anthony Pasquale. "Geometrically Nonlinear Aeroelastic Scaling." Diss., Virginia Tech, 2014. http://hdl.handle.net/10919/24913.

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Aeroelastic scaling methodologies are developed for geometrically nonlinear applications. The new methods are demonstrated by designing an aeroelastically scaled model of a suitably nonlinear full-scale joined-wing aircraft. The best of the methods produce scaled models that closely replicate the target aeroelastic behavior. Internal loads sensitivity studies show that internal loads can be insensitive to axial stiffness, even for globally indeterminate structures. A derived transverse to axial stiffness ratio can be used as an indicator of axial stiffness importance. Two findings of the work extend to geometrically linear applications: new sources of local optima are identified, and modal mass is identified as a scaling parameter. Optimization procedures for addressing the multiple optima and modal mass matching are developed and demonstrated. Where justified, limitations of commercial software are avoided through development of custom tools for structural analysis and sensitivities, aerodynamic analysis, and nonlinear aeroelastic trim.
Ph. D.

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Govindasamy, Saravana P. "Scaling Innovations in Healthcare." Diss., Temple University Libraries, 2019. http://cdm16002.contentdm.oclc.org/cdm/ref/collection/p245801coll10/id/543975.

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Business Administration/Management Information Systems
D.B.A.
This research paper examines the innovation adoption of technology, specifically Artificial Intelligence (AI) implementations in hospitals by exploring the capabilities that enables AI innovations using the dynamic capabilities (sensing, seizing and reconfiguring) framework and clinicians’ intentions to use AI innovations for patient care by applying the technology adoption/acceptance framework Unified Theory of Acceptance and Use of Technology (UTAUT) utilizing qualitative case study analysis and quantitative survey methodology respectively. This multi-disciplinary research has considerable relevance to both healthcare business leaders and clinical practitioners by identifying the key factors that drives the decisions to adopt innovations to improve healthcare organizations' competitiveness to enhance patient care as well as to reduce overall healthcare costs. The main findings are: (1) On an organizational level, healthcare organizations with strong and versatile dynamic capabilities, who build on their existing knowledge and capabilities are better able to integrate the innovations into their internal operations and existing services. The identified barriers provide a clear sense of organizational barriers and resistance points for innovation adoption (2) On an individual level, the impact of quality of care and organization leadership support are the key factors that facilitates the adoption of innovation among the clinicians. (3) Current trends and key impact areas of AI technology in the healthcare industry are identified Key words: Innovation, Innovation Adoption, Dynamic Capabilities, Healthcare, Artificial Intelligence, AI, Technology, Strategic Management
Temple University--Theses

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Jeffsell, Björn. "Game Balance by Scaling Damage : Scaling Game Difficulty by Changing Players Damage Output." Thesis, Blekinge Tekniska Högskola, Sektionen för datavetenskap och kommunikation, 2013. http://urn.kb.se/resolve?urn=urn:nbn:se:bth-5022.

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There is a lot of different kind of games which creates many different ways to balance the difficulty of games. This study will look at if damage output from a player is a good variable to scale in order to create a better balance and make the game feel more rewarding overall, based on that a game would be enjoyable if a player feels that it is rewarding to play the game. By letting both inexperienced and avid players test a part of a game with different settings for the damage output to see if the players finds the game to be more rewarding if the difficulty is set to a higher setting (lower damage output). The conclusion is that it is that damage output cannot directly affect how overall rewarding a player finds the game, but can affect other variables that in turn make the game feel more rewarding.

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Läuter, Henning, and Ayad Ramadan. "Statistical Scaling of Categorical Data." Universität Potsdam, 2010. http://opus.kobv.de/ubp/volltexte/2011/4956/.

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Estimation and testing of distributions in metric spaces are well known. R.A. Fisher, J. Neyman, W. Cochran and M. Bartlett achieved essential results on the statistical analysis of categorical data. In the last 40 years many other statisticians found important results in this field. Often data sets contain categorical data, e.g. levels of factors or names. There does not exist any ordering or any distance between these categories. At each level there are measured some metric or categorical values. We introduce a new method of scaling based on statistical decisions. For this we define empirical probabilities for the original observations and find a class of distributions in a metric space where these empirical probabilities can be found as approximations for equivalently defined probabilities. With this method we identify probabilities connected with the categorical data and probabilities in metric spaces. Here we get a mapping from the levels of factors or names into points of a metric space. This mapping yields the scale for the categorical data. From the statistical point of view we use multivariate statistical methods, we calculate maximum likelihood estimations and compare different approaches for scaling.

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Tsang, Wai-Hung. "Scaling up support vector machines /." View abstract or full-text, 2007. http://library.ust.hk/cgi/db/thesis.pl?CSED%202007%20TSANG.

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Urseanu, Maria Ioana. "Scaling up bubble column reactors." [S.l. : Amsterdam : s.n.] ; Universiteit van Amsterdam [Host], 2000. http://dare.uva.nl/document/83970.

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Sachs, Michael Karl. "Earthquake Scaling, Simulation and Forecasting." Thesis, University of California, Davis, 2014. http://pqdtopen.proquest.com/#viewpdf?dispub=3646390.

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Earthquakes are among the most devastating natural events faced by society. In 2011, just two events, the magnitude 6.3 earthquake in Christcurch New Zealand on February 22, and the magnitude 9.0 Tōhoku earthquake off the coast of Japan on March 11, caused a combined total of $226 billion in economic losses. Over the last decade, 791,721 deaths were caused by earthquakes. Yet, despite their impact, our ability to accurately predict when earthquakes will occur is limited. This is due, in large part, to the fact that the fault systems that produce earthquakes are non-linear. The result being that very small differences in the systems now result in very big differences in the future, making forecasting difficult. In spite of this, there are patterns that exist in earthquake data. These patterns are often in the form of frequency-magnitude scaling relations that relate the number of smaller events observed to the number of larger events observed. In many cases these scaling relations show consistent behavior over a wide range of scales. This consistency forms the basis of most forecasting techniques. However, the utility of these scaling relations is limited by the size of the earthquake catalogs which, especially in the case of large events, are fairly small and limited to a few 100 years of events.

In this dissertation I discuss three areas of earthquake science. The first is an overview of scaling behavior in a variety of complex systems, both models and natural systems. The focus of this area is to understand how this scaling behavior breaks down. The second is a description of the development and testing of an earthquake simulator called Virtual California designed to extend the observed catalog of earthquakes in California. This simulator uses novel techniques borrowed from statistical physics to enable the modeling of large fault systems over long periods of time. The third is an evaluation of existing earthquake forecasts, which focuses on the Regional Earthquake Likelihood Models (RELM) test: the first competitive test of earthquake forecasts in California.

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Books on the topic "Scaling"

Divall, Colin, Sean F. Johnston, and James F. Donnelly. Scaling Up. Dordrecht: Springer Netherlands, 2000. http://dx.doi.org/10.1007/978-94-015-9432-5.

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Storch, David, Pablo Marquet, and James Brown, eds. Scaling Biodiversity. Cambridge: Cambridge University Press, 2007. http://dx.doi.org/10.1017/cbo9780511814938.

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Bažant, Zdeněk P., and Yapa D. S. Rajapakse, eds. Fracture Scaling. Dordrecht: Springer Netherlands, 1999. http://dx.doi.org/10.1007/978-94-011-4659-3.

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Hornberger, Kusisami. Scaling Impact. Cham: Springer International Publishing, 2023. http://dx.doi.org/10.1007/978-3-031-22614-4.

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Weller, Susan, and A. Romney. Metric Scaling. 2455 Teller Road, Newbury Park California 91320 United States of America: SAGE Publications, Inc., 1990. http://dx.doi.org/10.4135/9781412985048.

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A, Cox Michael A., ed. Multidimensional scaling. 2nd ed. Boca Raton: Chapman & Hall/CRC, 2001.

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David, Storch, Marquet P. A. 1963-, and Brown, James H., 1942 Sept. 25-, eds. Scaling biodiversity. Cambridge: Cambridge University Press, 2007.

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Davison, Mark L. Multidimensional scaling. Malabar, Fla: Krieger Pub. Co., 1992.

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Bažant, Zdeněk P. Fracture Scaling. Dordrecht: Springer Netherlands, 1999.

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Peter, Dunn-Rankin, and Dunn-Rankin Peter, eds. Scaling methods. 2nd ed. Mahwah, N.J: L. Erlbaum Associates, 2004.

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Book chapters on the topic "Scaling"

Moore, Michele-Lee, Darcy Riddell, and Dana Vocisano. "Scaling Out, Scaling Up, Scaling Deep*." In Large Systems Change: An Emerging Field of Transformation and Transitions, 67–84. London: Routledge, 2024. http://dx.doi.org/10.4324/9781003579380-7.

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Challis, John H. "Scaling." In Experimental Methods in Biomechanics, 211–17. Cham: Springer International Publishing, 2020. http://dx.doi.org/10.1007/978-3-030-52256-8_12.

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Lawless, Harry T., and Hildegarde Heymann. "Scaling." In Food science text series, 208–64. Boston, MA: Springer US, 1999. http://dx.doi.org/10.1007/978-1-4419-7452-5_7.

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Abbas, Karim. "Scaling." In Handbook of Digital CMOS Technology, Circuits, and Systems, 411–38. Cham: Springer International Publishing, 2020. http://dx.doi.org/10.1007/978-3-030-37195-1_10.

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Lipsker, Dan. "Scaling." In Clinical Examination and Differential Diagnosis of Skin Lesions, 215–17. Paris: Springer Paris, 2013. http://dx.doi.org/10.1007/978-2-8178-0411-8_41.

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Lawless, Harry T., and Hildegarde Heymann. "Scaling." In Food Science Text Series, 149–77. New York, NY: Springer New York, 2010. http://dx.doi.org/10.1007/978-1-4419-6488-5_7.

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Gooch, Jan W. "Scaling." In Encyclopedic Dictionary of Polymers, 647. New York, NY: Springer New York, 2011. http://dx.doi.org/10.1007/978-1-4419-6247-8_10315.

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Saito, Kozo, and Nelson Akafuah. "Scaling." In Encyclopedia of Wildfires and Wildland-Urban Interface (WUI) Fires, 1–8. Cham: Springer International Publishing, 2018. http://dx.doi.org/10.1007/978-3-319-51727-8_62-1.

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Saito, Kozo, and Nelson Akafuah. "Scaling." In Encyclopedia of Wildfires and Wildland-Urban Interface (WUI) Fires, 900–907. Cham: Springer International Publishing, 2020. http://dx.doi.org/10.1007/978-3-319-52090-2_62.

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Colombo, Silvia. "Scaling." In Feline Dermatology, 149–59. Cham: Springer International Publishing, 2020. http://dx.doi.org/10.1007/978-3-030-29836-4_8.

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Conference papers on the topic "Scaling"

Kouki, Yousri, and Thomas Ledoux. "SCAling." In the 28th Annual ACM Symposium. New York, New York, USA: ACM Press, 2013. http://dx.doi.org/10.1145/2480362.2480445.

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Fell, Harriet J., Viera K. Proulx, and Richard Rasala. "Scaling." In the twenty-ninth SIGCSE technical symposium. New York, New York, USA: ACM Press, 1998. http://dx.doi.org/10.1145/273133.274323.

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"Title Page iii." In 2013 Extreme Scaling Workshop (XSW). IEEE, 2013. http://dx.doi.org/10.1109/xsw.2013.1.

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Vadlamani, Srinath, Youngsung Kim, and John Dennis. "DG-kernel: A Climate Benchmark on Accelerated and Conventional Architectures." In 2013 Extreme Scaling Workshop (XSW). IEEE, 2013. http://dx.doi.org/10.1109/xsw.2013.11.

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Venkatesh, A., K. Kandalla, and Dhabaleswar K. Panda. "Optimized MPI Gather Collective for Many Integrated Core (MIC) InfiniBand Clusters." In 2013 Extreme Scaling Workshop (XSW). IEEE, 2013. http://dx.doi.org/10.1109/xsw.2013.12.

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Woodward, Paul R., Jagan Jayaraj, Pei-Hung Lin, Michael Knox, Simon D. Hammond, James Greensky, and Sarah E. Anderson. "Scaling the Multifluid PPM Code on Blue Waters and Intel MIC." In 2013 Extreme Scaling Workshop (XSW). IEEE, 2013. http://dx.doi.org/10.1109/xsw.2013.13.

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"Author Index." In 2013 Extreme Scaling Workshop (XSW). IEEE, 2013. http://dx.doi.org/10.1109/xsw.2013.14.

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"[Copyright notice]." In 2013 Extreme Scaling Workshop (XSW). IEEE, 2013. http://dx.doi.org/10.1109/xsw.2013.2.

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"Message from Program Chairs." In 2013 Extreme Scaling Workshop (XSW). IEEE, 2013. http://dx.doi.org/10.1109/xsw.2013.3.

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"Table of Contents." In 2013 Extreme Scaling Workshop (XSW). IEEE, 2013. http://dx.doi.org/10.1109/xsw.2013.4.

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Reports on the topic "Scaling"

Braun, Emil, Barbara C. Levin, Maya Paabo, Joshua Gurman, Trudi Holt, and J. Samuel Steel. Fire toxicity scaling. Gaithersburg, MD: National Bureau of Standards, 1987. http://dx.doi.org/10.6028/nbs.ir.87-3510.

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Ireland, Tom. Scaling Phage Therapy. Asimov Press, February 2024. http://dx.doi.org/10.62211/82rs-14tp.

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Kirk, T. B. W. Shower counter resolution scaling. Office of Scientific and Technical Information (OSTI), October 1991. http://dx.doi.org/10.2172/10102688.

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Canavan, G. H. Sensor system scaling issues. Office of Scientific and Technical Information (OSTI), July 1996. http://dx.doi.org/10.2172/372701.

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Ecke, R., Ning Li, Shiyi Chen, and Yuanming Liu. Turbulent scaling in fluids. Office of Scientific and Technical Information (OSTI), November 1996. http://dx.doi.org/10.2172/399361.

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Bazant, Z. P., and Er-Ping Chen. Scaling of structural failure. Office of Scientific and Technical Information (OSTI), January 1997. http://dx.doi.org/10.2172/420364.

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Sohoni, Milind A. Scaling of Linear Programs. Fort Belvoir, VA: Defense Technical Information Center, May 1988. http://dx.doi.org/10.21236/ada197548.

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Kirk, T. B. W. Shower counter resolution scaling. Office of Scientific and Technical Information (OSTI), October 1991. http://dx.doi.org/10.2172/6109931.

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Ehrlich, Daniel J. Scaling of Microfluidic Biodevices. Fort Belvoir, VA: Defense Technical Information Center, October 2001. http://dx.doi.org/10.21236/ada416017.

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LINFIELD RESEARCH INST MCMINNVILLE OR. Scaling the Campus Intranet. Fort Belvoir, VA: Defense Technical Information Center, December 1997. http://dx.doi.org/10.21236/ada385251.

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