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Relevant bibliographies by topics / File Generator

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Academic literature on the topic 'File Generator'

Author: Grafiati

Published: 28 June 2021

Last updated: 8 February 2022

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Journal articles on the topic "File Generator"

1

Vazquez, Federico, and Guy Hanacek. "Automatic system file generator." ACM SIGSOFT Software Engineering Notes 18, no. 1 (January 1993): 65–73. http://dx.doi.org/10.1145/157397.157407.

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Cai, Rui Zhi, and Chong Chen. "Development of Virtual Prototype Template File Generator." Applied Mechanics and Materials 513-517 (February 2014): 1009–12. http://dx.doi.org/10.4028/www.scientific.net/amm.513-517.1009.

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In view of ADAMS/Car software' problems, for example, difficult to modeling and error-prone, use the template files' source code that has been completed and successfully debugging and base on vb programming language,write a series of ADAMS/Car template file generator program. The program can generate template file that design needs, so it can greatly improve the efficiency of work.

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Chen, I.-Te. "Random Numbers Generated from Audio and Video Sources." Mathematical Problems in Engineering 2013 (2013): 1–7. http://dx.doi.org/10.1155/2013/285373.

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Random numbers are very useful in simulation, chaos theory, game theory, information theory, pattern recognition, probability theory, quantum mechanics, statistics, and statistical mechanics. The random numbers are especially helpful in cryptography. In this work, the proposed random number generators come from white noise of audio and video (A/V) sources which are extracted from high-resolution IPCAM, WEBCAM, and MPEG-1 video files. The proposed generator applied on video sources from IPCAM and WEBCAM with microphone would be the true random number generator and the pseudorandom number generator when applied on video sources from MPEG-1 video file. In addition, when applying NIST SP 800-22 Rev.1a 15 statistics tests on the random numbers generated from the proposed generator, around 98% random numbers can pass 15 statistical tests. Furthermore, the audio and video sources can be found easily; hence, the proposed generator is a qualified, convenient, and efficient random number generator.

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Underwood, William. "Grammar-Based Specification and Parsing of Binary File Formats." International Journal of Digital Curation 7, no. 1 (March 9, 2012): 95–106. http://dx.doi.org/10.2218/ijdc.v7i1.217.

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The capability to validate and view or play binary file formats, as well as to convert binary file formats to standard or current file formats, is critically important to the preservation of digital data and records. This paper describes the extension of context-free grammars from strings to binary files. Binary files are arrays of data types, such as long and short integers, floating-point numbers and pointers, as well as characters. The concept of an attribute grammar is extended to these context-free array grammars. This attribute grammar has been used to define a number of chunk-based and directory-based binary file formats. A parser generator has been used with some of these grammars to generate syntax checkers (recognizers) for validating binary file formats. Among the potential benefits of an attribute grammar-based approach to specification and parsing of binary file formats is that attribute grammars not only support format validation, but support generation of error messages during validation of format, validation of semantic constraints, attribute value extraction (characterization), generation of viewers or players for file formats, and conversion to current or standard file formats. The significance of these results is that with these extensions to core computer science concepts, traditional parser/compiler technologies can potentially be used as a part of a general, cost effective curation strategy for binary file formats.

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Ebling, Maria R., and M. Satyanarayanan. "SynRGen: an extensible file reference generator." ACM SIGMETRICS Performance Evaluation Review 22, no. 1 (May 1994): 108–17. http://dx.doi.org/10.1145/183019.183030.

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Long, Fei, Robert A. Nicholls, Paul Emsley, Saulius Gražulis, Andrius Merkys, Antanas Vaitkus, and Garib N. Murshudov. "AceDRG: a stereochemical description generator for ligands." Acta Crystallographica Section D Structural Biology 73, no. 2 (February 1, 2017): 112–22. http://dx.doi.org/10.1107/s2059798317000067.

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The programAceDRGis designed for the derivation of stereochemical information about small molecules. It uses local chemical and topological environment-based atom typing to derive and organize bond lengths and angles from a small-molecule database: the Crystallography Open Database (COD). Information about the hybridization states of atoms, whether they belong to small rings (up to seven-membered rings), ring aromaticity and nearest-neighbour information is encoded in the atom types. All atoms from the COD have been classified according to the generated atom types. All bonds and angles have also been classified according to the atom types and, in a certain sense, bond types. Derived data are tabulated in a machine-readable form that is freely available fromCCP4.AceDRGcan also generate stereochemical information, provided that the basic bonding pattern of a ligand is known. The basic bonding pattern is perceived from one of the computational chemistry file formats, including SMILES, mmCIF, SDF MOL and SYBYL MOL2 files. Using the bonding chemistry, atom types, and bond and angle tables generated from the COD,AceDRGderives the `ideal' bond lengths, angles, plane groups, aromatic rings and chirality information, and writes them to an mmCIF file that can be used by the refinement programREFMAC5 and the model-building programCoot. Other refinement and model-building programs such asPHENIXandBUSTERcan also use these files.AceDRGalso generates one or more coordinate sets corresponding to the most favourable conformation(s) of a given ligand.AceDRGemploysRDKitfor chemistry perception and for initial conformation generation, as well as for the interpretation of SMILES strings, SDF MOL and SYBYL MOL2 files.

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Cooper, E. "Design of a disk-file reference-velocity generator." IEEE Transactions on Magnetics 21, no. 5 (September 1985): 2097–103. http://dx.doi.org/10.1109/tmag.1985.1064043.

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Page, G. J. "Rapid, parallel CFD grid generation using octrees." Aeronautical Journal 117, no. 1188 (February 2013): 133–46. http://dx.doi.org/10.1017/s0001924000007910.

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Abstract As Large Eddy Simulation is increasingly applied to flows containing complex geometry, grid generation becomes difficult and time consuming when using software originally developed for RANS flow solvers. The traditional ‘pipeline’ approach of grid generation → solve → visualise entails the time consuming transfer of large files and conversion of file formats. This work demonstrates a grid generation methodology developed specifically to be integrated with parallel LES. The current approach is to use a Cartesian grid with adaptive refinement based upon geometry intersection, surface detail and surface curvature. The grid is defined by an octree data structure with the geometry defined by triangular facets using the STL file format. The result is a set of ‘cubical’ subdomains, each with identical numbers of cells and uniform distributions within the cube. Some subdomains will be entirely fluid and can be solved using straightforward CFD techniques, whilst some cubes will be cut by the surfaces. Individual cells are then tagged as ‘solid’, ‘fluid’ or ‘cut’ with the solver expected to use an immersed boundary approach to model the surface. A key feature is the design of the algorithm to be parallelisable on both shared and distributed memory systems. The distributed memory parallel dynamically partitions the grid as it is being generated, so that the partitioning is suitable for a subsequent flow solver. Grid generation testing has been carried out on a variety of input CAD files ranging up to 350,000 facets. A landing gear case shows how the grid generator correctly finds the fluid inside of the tire and other cavities within the hub. In scalar mode, a grid with 4,916 cubes and 468 million cells is generated in less than 100 seconds, whilst in parallel on 32 processor cores this can be achieved in 4·6 seconds.

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McMillan, Matthew Leslie, Marten Jurg, Martin Leary, and Milan Brandt. "Programmatic generation of computationally efficient lattice structures for additive manufacture." Rapid Prototyping Journal 23, no. 3 (April 18, 2017): 486–94. http://dx.doi.org/10.1108/rpj-01-2016-0014.

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Purpose Additive manufacturing (AM) enables the fabrication of complex geometries beyond the capability of traditional manufacturing methods. Complex lattice structures have enabled engineering innovation; however, the use of traditional computer-aided design (CAD) methods for the generation of lattice structures is inefficient, time-consuming and can present challenges to process integration. In an effort to improve the implementation of lattice structures into engineering applications, this paper aims to develop a programmatic lattice generator (PLG). Design/methodology/approach The PLG method is computationally efficient; has direct control over the quality of the stereolithographic (STL) file produced; enables the generation of more complex lattice than traditional methods; is fully programmatic, allowing batch generation and interfacing with process integration and design optimization tools; capable of generating a lattice STL file from a generic input file of node and connectivity data; and can export a beam model for numerical analysis. Findings This method has been successfully implemented in the generation of uniform, radial and space filling lattices. Case studies were developed which showed a reduction in processing time greater than 60 per cent for a 3,375 cell lattice over traditional CAD software. Originality/value The PLG method is a novel design for additive manufacture (DFAM) tool with unique advantages, including full control over the number of facets that represent a lattice strut, allowing optimization of STL data to minimize file size, while maintaining suitable resolution for the implemented AM process; programmatic DFAM capability that overcomes the learning curve of traditional CAD when producing complex lattice structures, therefore is independent of designer proficiency and compatible with process integration; and the capability to output both STL files and associated data for numerical analysis, a unique DFAM capability not previously reported.

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Keller, Lukas, and Michael Huth. "Pattern generation for direct-write three-dimensional nanoscale structures via focused electron beam induced deposition." Beilstein Journal of Nanotechnology 9 (September 27, 2018): 2581–98. http://dx.doi.org/10.3762/bjnano.9.240.

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Fabrication of three-dimensional (3D) nanoarchitectures by focused electron beam induced deposition (FEBID) has matured to a level that highly complex and functional deposits are becoming available for nanomagnetics and plasmonics. However, the generation of suitable pattern files that control the electron beam’s movement, and thereby reliably map the desired target 3D structure from a purely geometrical description to a shape-conforming 3D deposit, is nontrivial. To address this issue we developed several writing strategies and associated algorithms implemented in C++. Our pattern file generator handles different proximity effects and corrects for height-dependent precursor coverage. Several examples of successful 3D nanoarchitectures using different precursors are presented that validate the effectiveness of the implementation.

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Dissertations / Theses on the topic "File Generator"

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Postl, Dieter. "Numerical Investigation of Laminar Separation Control Using Vortex Generator Jets." Diss., Tucson, Arizona : University of Arizona, 2005. http://etd.library.arizona.edu/etd/GetFileServlet?file=file:///data1/pdf/etd/azu%5Fetd%5F1237%5F1%5Fm.pdf&type=application/pdf.

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Welles, Edwin. "Comparison of rainfall sampling schemes using a calibrated Stochastic Rainfall Generator." Thesis, The University of Arizona, 1994. http://etd.library.arizona.edu/etd/GetFileServlet?file=file:///data1/pdf/etd/azu_etd_hy0062_m_sip1_w.pdf&type=application/pdf.

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Xie, Liquan. "Dynamic Report Generator." CSUSB ScholarWorks, 2004. https://scholarworks.lib.csusb.edu/etd-project/2547.

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This project describes DRG (Dynamic Report Generator). This program can be used on the internet to summarize the content of a database based on user criteria. DRG allows the user to choose a database, input the data, and generate a report based on user input, and print out the results in a new format. This paper describes the design and analysis of the DRG program.

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Procházka, Šimon. "Vývoj generátoru souborů." Master's thesis, Vysoké učení technické v Brně. Fakulta podnikatelská, 2021. http://www.nusl.cz/ntk/nusl-444618.

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The topic of this master’s thesis is the development of a file generator which will be used as a support tool for web application development in LOGEX Solution Center s.r.o. The application was written in TypeScript using the Node.js JavaScript runtime.

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Holst, Andy. "Automatic Transcript Generator for Podcast Files." Thesis, Linnaeus University, School of Computer Science, Physics and Mathematics, 2010. http://urn.kb.se/resolve?urn=urn:nbn:se:lnu:diva-6936.

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In the modern world, Internet has become a popular place, people with speech hearing disabilities and search engines can't take part of speech content in podcast les. In order to solve the problem partially, the Sphinx decoders such as Sphinx-3, Sphinx-4 can be used to implement a Auto Transcript Generator application, by coupling already existing large acoustic model, language model and a existing dictionary, or by training your own large acoustic model, language model and creating your own dictionary to support continuous speaker independent speech recognition system.

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N'Diaye, Abdoulaye. "Streamflow generation for the Senegal River basin." Thesis, The University of Arizona, 1985. http://etd.library.arizona.edu/etd/GetFileServlet?file=file:///data1/pdf/etd/azu_e9791_1985_157_sip1_w.pdf&type=application/pdf.

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Jurkowski, Jason Michael. "Generation Why." University of Akron / OhioLINK, 2020. http://rave.ohiolink.edu/etdc/view?acc_num=akron1586178554947425.

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Olivieri, Jennevie A. "Generation Z (#Zombies)." Digital Commons at Loyola Marymount University and Loyola Law School, 2015. https://digitalcommons.lmu.edu/etd/162.

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Woyshner, Christine A. ""To reach the rising generation through the raising generation" the origins of the National Parent-Teacher Association /." Connect to resource online, 1999. http://ulib.iupui.edu/utility/download.php?file=AAT9933158.pdf&ipfilter=campus_cas.

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Thesis (Ed.D.)--Harvard University, 1999.
Title from screen (viewed on July 23, 2009). Includes vita. Graduate School of Education, Harvard University. Includes bibliographical references (leaves 257-270).

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Jewell, Michael O. "Motivated music : automatic soundtrack generation for film." Thesis, University of Southampton, 2007. https://eprints.soton.ac.uk/263924/.

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Automatic music composition is a fast-moving field which, from roots in serialism, has developed techniques spanning subjects as diverse as biology, chaos theory and linguistic grammars. These algorithms have been applied to specific aspects of music creation, as well as live performances. However, these traditional approaches to generation are dedicated to the creation of music which is independent from any other driving medium, whereas human-composed music is most often written with a purpose or situation in mind. Furthermore, the process of composition is naturally hierarchical, whereas the use of a single algorithm renders it a monolithic task. In order to address these issues, a model should be able to encapsulate a sense of composer motivation whilst not relying on a single algorithm for the composition process. As such, this work describes a new framework with the ability to provide a means to generate music from film in a media-driven, distributed, manner. This includes the initial annotation of the media using our new OntoMedia ontology; the mapping of annotated information into parameters suitable for compositional algorithms; the design and implementation of an agent framework suitable for the distribution of multiple composing algorithms; and finally the creation of agents capable of handling the composition of musical elements such as rhythm and melody. In addition, a case study is included which demonstrates the stages of the composition process from media annotation to automatic music generation.

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Books on the topic "File Generator"

1

Chambers, Mike. Macromedia Generator and Flash demystified: The official guide to using Generator with Flash. Berkeley, CA: Peachpit Press, 2001.

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Smith, Donald R. SUBHUL, submarine pressure hull finite element model generator user's manual. Dartmouth, N.S: Defence Research Establishment Atlantic, 1992.

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Johnson, Yvonne. Enable menu generation. [Louisville, Ky: Key Publications, 1987.

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B, Vadhia Dinesh, ed. Fourth-generation languages under DOS and UNIX. Oxford: BSP Professional, 1987.

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Using SuperCalc: The next generation : a self-teaching guide. New York: J. Wiley, 1985.

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Computing with Vista for the older generation. London: Bernard Babani, 2007.

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Skipidarov, Sergey, and Mikhail Nikitin, eds. Thin Film and Flexible Thermoelectric Generators, Devices and Sensors. Cham: Springer International Publishing, 2021. http://dx.doi.org/10.1007/978-3-030-45862-1.

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Williams, Edward. The effects of computer generated imagery on film. London: LCP, 1999.

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Gatenby, James. Windows 8 and RT for the older generation. London: Bernard Babani, 2013.

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Yan, Jacky Chun Kit. Statistical methods for film grain noise removal and generation. Ottawa: National Library of Canada = Bibliothèque nationale du Canada, 1999.

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Book chapters on the topic "File Generator"

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Flores, Graciela, and Cristian Gallardo. "Creating Shapefile Files in ArcMap from KML File Generated in My Maps." In Advances in Intelligent Systems and Computing, 193–204. Cham: Springer International Publishing, 2020. http://dx.doi.org/10.1007/978-3-030-63665-4_15.

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Dika, Vera. "Vivienne Dick’s Film Portraits." In The (Moving) Pictures Generation, 53–68. New York: Palgrave Macmillan US, 2012. http://dx.doi.org/10.1057/9781137118516_4.

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Yamaguchi, Kazunori, Toshiaki Satoh, and Tosiyasu L. Kunii. "Boundary File Generation from Octree Encoding." In Frontiers in Computer Graphics, 13–25. Tokyo: Springer Japan, 1985. http://dx.doi.org/10.1007/978-4-431-68025-3_2.

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Bilke, Lars, Thomas Fischer, Dmitri Naumov, Daniel Pötschke, Karsten Rink, Amir Shoarian Sattari, Patrick Schmidt, Wenqing Wang, and Keita Yoshioka. "Code Descriptions." In GeomInt–Mechanical Integrity of Host Rocks, 243–54. Cham: Springer International Publishing, 2021. http://dx.doi.org/10.1007/978-3-030-61909-1_7.

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AbstractThe FFS method (see Sect. 10.1007/978-3-030-61909-1_3) was developed to simulate direct shear tests. To provide a tool for the project work and get things easier done a graphical user interface (GUI) was also created. The GUI simply calls all necessary functions by letting the user either fill form fields or choose input files from the working folder. The rock parameters and the conditions of the direct shear test with the normal stress levels and shear displacements have to be selected. If an experiment is simulated the lab results can be selected as a text file so a visual comparison is possible. The geometry has to be loaded as a point cloud or an artificial surface can be generated. With small modifications the code can do multiple executions using artificial surfaces.

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Jaramillo, Deborah L. "Generation Kill." In A Companion to the War Film, 305–19. Hoboken, NJ: John Wiley & Sons, Inc, 2016. http://dx.doi.org/10.1002/9781118337653.ch18.

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Bamford, Carl, and Paul Curran. "Fourth Generation Languages." In Data Structures, Files and Databases, 229–48. London: Macmillan Education UK, 1991. http://dx.doi.org/10.1007/978-1-349-12615-6_14.

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Shin, Donghwi, Kwangwoo Lee, and Dongho Won. "Advanced Malware Variant Detection Algorithm Using Structural Characteristic of Executable File." In Future Generation Information Technology, 301–8. Berlin, Heidelberg: Springer Berlin Heidelberg, 2011. http://dx.doi.org/10.1007/978-3-642-27142-7_35.

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Caymax, M., G. Revel, A. Luque, G. Sala, D. Margadonna, and Sergio Pizzini. "High efficiency crystalline silicon thin-film solar cells." In Photovoltaic Power Generation, 157–98. Dordrecht: Springer Netherlands, 1988. http://dx.doi.org/10.1007/978-94-009-2933-3_3.

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Birk, Yitzhak, and Mark Mokryn. "Cost-Effective Jukebox Storage via Hybrid File-Block Caching." In Next Generation Information Technologies and Systems, 173–89. Berlin, Heidelberg: Springer Berlin Heidelberg, 1999. http://dx.doi.org/10.1007/3-540-48521-x_13.

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Warhol, Andy, and Cindy Sherman. "The Female Body and the Film Frame." In The (Moving) Pictures Generation, 33–51. New York: Palgrave Macmillan US, 2012. http://dx.doi.org/10.1057/9781137118516_3.

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Conference papers on the topic "File Generator"

1

Ebling, Maria R., and M. Satyanarayanan. "SynRGen: an extensible file reference generator." In the 1994 ACM SIGMETRICS conference. New York, New York, USA: ACM Press, 1994. http://dx.doi.org/10.1145/183018.183030.

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Yu, W. D., Y. T. Wei, S. J. Liu, and P. L. Chang. "Preliminary study on the automatic lessons-learned file generator." In The 25th International Symposium on Automation and Robotics in Construction. Vilnius, Lithuania: Vilnius Gediminas Technical University Publishing House Technika, 2008. http://dx.doi.org/10.3846/isarc.20080626.422.

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Yu, Wen-Der, Yu-Teh Wei, Shen-Jung Liu, and Pei-Lun Chang. "Preliminary Study on the Automatic Lessons-Learned File Generator." In 25th International Symposium on Automation and Robotics in Construction. International Association for Automation and Robotics in Construction (IAARC), 2008. http://dx.doi.org/10.22260/isarc2008/0061.

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Ren, Zujie, Biao Xu, Weisong Shi, Yongjian Ren, Feng Cao, Jiangbin Lin, and Zheng Ye. "iGen: A Realistic Request Generator for Cloud File Systems Benchmarking." In 2016 IEEE 9th International Conference on Cloud Computing (CLOUD). IEEE, 2016. http://dx.doi.org/10.1109/cloud.2016.0053.

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Dowoo, Baik, Yujin Jung, and Changhee Choi. "PcapGAN: Packet Capture File Generator by Style-Based Generative Adversarial Networks." In 2019 18th IEEE International Conference On Machine Learning And Applications (ICMLA). IEEE, 2019. http://dx.doi.org/10.1109/icmla.2019.00191.

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Yong Moon and Deog-Kyoon Jeong. "A 32 X 32-bit Adiabatic Register File With Supply Clock Generator." In 1993 Symposium on VLSI Circuits. IEEE, 1997. http://dx.doi.org/10.1109/vlsic.1997.623785.

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Fadil, Irfan, Dwi Yuniarto, Esa Firmansyah, Dody Herdiana, Fidi Supriadi, and Ali Rahman. "File Training Generator For Indonesian Language In Named Entity Recognition Using Anago Library." In Proceedings of the 1st International Conference on Islam, Science and Technology, ICONISTECH 2019, 11-12 July 2019, Bandung, Indonesia. EAI, 2020. http://dx.doi.org/10.4108/eai.11-7-2019.2297618.

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Sakamoto, Haruo, Takuya Tsuneishi, and Masaoki Sakamoto. "Internet Collaboration of 3D-CAD Design and Manufacturing for Product Development." In ASME 2003 International Design Engineering Technical Conferences and Computers and Information in Engineering Conference. ASMEDC, 2003. http://dx.doi.org/10.1115/detc2003/dfm-48138.

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This paper describes internet collaboration of 3D-CAD design and manufacturing for product development. The product example is a small-sized wind power generator, which was actually produced. From the viewpoint of research interest, wind power generators using rare-earth material permanent magnets were studied. Through internet multi-stations collaboration, which will be realized in the very near future in industries, 3D-CAD and manufacture of a small-sized wind power generator was conducted with cooperation of the Kochi University of Technology and Sakamoto Giken Co. In order to realize the internet collaboration, a file compression software and a tool for collaboration is required. The commercially available file compression and collaboration software were tried for the product development of the small-sized wind power generator. This paper reports the example of the product development using the internet collaboration technique.

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Pan, Chunxia, and Shana Smith. "Extracting Geometrical Data From CAD STEP Files." In ASME 2003 International Design Engineering Technical Conferences and Computers and Information in Engineering Conference. ASMEDC, 2003. http://dx.doi.org/10.1115/detc2003/cie-48224.

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Most CAD tools currently do not have advanced capability built in for directly analyzing the feasibility of product assembly during the design stage. As a result, the feasibility of product assembly has to be analyzed using external assembly analysis tools. To integrate external assembly analysis tools with CAD tools, geometrical data from the CAD models must be extracted from CAD files and imported into the assembly analysis tools. To transfer geometrical data between CAD tools and assembly analysis tools, a neutral file format is needed. STEP (standard for the exchange of product model data) is a neutral file format for convenient and reliable data exchange between different design and manufacturing systems. Therefore, STEP is considered as one of the most popular formats for saving designs. As a result, to evaluate designs, extracting geometrical data from CAD-STEP file is important. Comparing with some other currently available methods, first translating STEP file into XML and then using Java DOM to get geometrical information from XML file is much better. This paper explores the process of extracting geometrical data from a CAD-STEP file for assembly sequence planning. A STEPXML translator, Java-XML parser and DTD (document type definition) generator are used on the JDK 1.4 platform. In this project, DOM (document object model) is applied as the API (Application Programming Interface) for XML.

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Cherry, Michael S., Gregory M. Roach, Jonathan W. Wittwer, Larry L. Howell, and Jordan J. Cox. "Reducing Cycle Time and Errors in the Design and Layout of MEMS." In ASME 2003 International Design Engineering Technical Conferences and Computers and Information in Engineering Conference. ASMEDC, 2003. http://dx.doi.org/10.1115/detc2003/dac-48740.

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A design methodology is presented which decreases cycle time and opportunities for error through automated execution of a consistent design procedure. The Product Design Generator (PDG) methodology is useful for existing devices with a well-established design process. Two such examples are given, the Thermomechanical In-plane Microactuator (TIM) and the micro force gauge. In both PDGs, the designer inputs a finite set of requirements which automatically updates parametric design models. The necessary analyses are then executed, and product artifacts such as a CAD file, technical document, and test procedures are generated. The application of this method reduces the opportunities for error by ten times for the TIM PDG and five times for the micro force gauge PDG. The design cycle time is reduced from hours to minutes for both devices.

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Reports on the topic "File Generator"

1

Henriksen, P. W., S. Hurdle, and J. F. Hafer. MAWST file generator (MFG). Office of Scientific and Technical Information (OSTI), December 1993. http://dx.doi.org/10.2172/10107545.

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Jusko, M., and R. Whitfield. GENWPG : a WPG graphics file generator. Office of Scientific and Technical Information (OSTI), February 1998. http://dx.doi.org/10.2172/12026.

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SINGH, G. Cold Vacuum Drying (CVD) Facility Diesel Generator Fire Protection. Office of Scientific and Technical Information (OSTI), April 2000. http://dx.doi.org/10.2172/803039.

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Gann, Richard G. Next generation fire suppression technology program :. Gaithersburg, MD: National Institute of Standards and Technology, 2004. http://dx.doi.org/10.6028/nist.sp.1015.

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Reneke, Paul A., Richard D. Peacock, Stanley W. Gilbert, and Thomas G. Cleary. CFAST - Consolidated Fire and Smoke Transport (Version 7) Volume 5: CFAST Fire Data Generator (CData). National Institute of Standards and Technology, June 2021. http://dx.doi.org/10.6028/nist.tn.1889v5.

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Gann, Richard G. Next-generation fire suppression technology program (NGP). Gaithersburg, MD: National Institute of Standards and Technology, 1998. http://dx.doi.org/10.6028/nist.ir.6163.

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Tapscott, Robert E., Joanne P. Moore, Michael E. Lee, Jimmy D. Watson, and E. T. Morehouse. Next-Generation Fire Extinguishing Agent. Phase 3. Fort Belvoir, VA: Defense Technical Information Center, April 1990. http://dx.doi.org/10.21236/ada230619.

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Gann, Richard G. Next generation fire suppression technology program (NGP):. Gaithersburg, MD: National Institute of Standards and Technology, 1999. http://dx.doi.org/10.6028/nist.ir.6366.

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Andrews, Patricia L., Faith Ann Heinsch, and Luke Schelvan. How to generate and interpret fire characteristics charts for surface and crown fire behavior. Ft. Collins, CO: U.S. Department of Agriculture, Forest Service, Rocky Mountain Research Station, 2011. http://dx.doi.org/10.2737/rmrs-gtr-253.

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Luke, Christina, and Viki M. Young. Integrating Micro-credentials into Professional Learning: Lessons from Five Districts. Digital Promise, October 2020. http://dx.doi.org/10.51388/20.500.12265/103.

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Abstract:

This white paper captures experiences and insights from educators and administrators as their districts integrated micro-credentials in support of professional learning around computational thinking as part of the Computational Thinking for Next Generation Science Standards (NGSS) Challenge Collaborative.

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