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Relevant bibliographies by topics / Computer modelling

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Academic literature on the topic 'Computer modelling'

Author: Grafiati

Published: 4 June 2021

Last updated: 7 September 2023

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Journal articles on the topic "Computer modelling"

1

Maynard, Alan, and RF Cookson. "Computer Modelling." PharmacoEconomics 14, Supplement 2 (1998): 67–72. http://dx.doi.org/10.2165/00019053-199814002-00007.

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Montgomery, Douglas. "Computer modelling." Quality and Reliability Engineering International 25, no. 6 (October 2009): 645. http://dx.doi.org/10.1002/qre.1073.

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Max, G. "Modelling computer networks." Journal of Physics: Conference Series 268 (January 1, 2011): 012018. http://dx.doi.org/10.1088/1742-6596/268/1/012018.

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Topalska, R. "READINESS OF PRIMARY SCHOOL TEACHERS TO TEACH COMPUTER MODELLING." Educational Psychology in Polycultural Space 51, no. 3 (2020): 50–56. http://dx.doi.org/10.24888/2073-8439-2020-51-3-50-56.

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Kiryanova, O. Y., L. U. Akhmetzianova, B. R. Kuluev, I. M. Gubaydullin, and A. V. Chemeris. "Computer modelling of primers search in the DNA chain." Computational Mathematics and Information Technologies 1, no. 1 (2019): 29–34. http://dx.doi.org/10.23947/2587-8999-2019-1-1-29-34.

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Veselovsky, A. V., A. S. Ivanov, and A. E. Medvedev. "Computer modelling of monoaminoxidases." Biomeditsinskaya Khimiya 61, no. 2 (2015): 265–71. http://dx.doi.org/10.18097/pbmc20156102265.

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The article summarized results of studies on active site structures of monoamine oxidases (MAO) performed in the Institute of Biomedical Chemistry (Russia) by computer modelling approaches. MAO, catalyzing the reaction of oxidative deamination of major neurotransmitter monoamines, exists in two highly homologous forms, MAO A and MAO B, distinguished by substrate specificity and inhibitor selectivity. The development of approaches for active site modelling of these enzymes (with unknown three-dimensional structures) started from analysis of relationship between the geometrical sizes of rigid indole and isatin derivatives and their inhibitory activity. These studies resulted in molding of the active site structures of MAO A and MAO B. These molds reflect the sizes and shapes of active sites of these enzymes. These mold models have been used for virtual screening of molecular databases for new inhibitors. The models obtained at different stages ofMAO investigations have been compared with recently appeared three-dimensional structures of MAO A and MAO B.

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Maryasin, O. Yu, A. S. Kolodkina, and A. A. Ogarkov. "Computer Modelling «Smart Building»." Modeling and Analysis of Information Systems 23, no. 4 (January 1, 2016): 427–39. http://dx.doi.org/10.18255/1818-1015-2016-4-427-439.

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Paul, Ray J., and Francis Neelamkavil. "Computer Simulation and Modelling." Journal of the Operational Research Society 38, no. 11 (November 1987): 1092. http://dx.doi.org/10.2307/2582236.

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Masic, Zlatan, Konny Lajhner, and Haris Pandza. "Computer Modelling and Simulation." International Journal on Biomedicine and Healthcare 9, no. 3 (2021): 173. http://dx.doi.org/10.5455/ijbh.2021.9.173-182.

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SNOECK, Monique, Raf HAESEN, Herman BUELENS, Manu De BACKER, and Geert MONSIEUR. "Computer Aided Modelling Exercises." Informatics in Education 6, no. 1 (April 15, 2007): 231–48. http://dx.doi.org/10.15388/infedu.2007.16.

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Dissertations / Theses on the topic "Computer modelling"

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Leinala, Tommi J. "Computer modelling of landslides." Thesis, National Library of Canada = Bibliothèque nationale du Canada, 1998. http://www.collectionscanada.ca/obj/s4/f2/dsk2/tape17/PQDD_0008/MQ34119.pdf.

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Ma, Li Li. "Computer modelling of magnetrons." Thesis, Queen Mary, University of London, 2005. http://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.413665.

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Petric, J. "Computer modelling of landscapes." Thesis, University of Strathclyde, 1988. http://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.382253.

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Ching, Peter Ho Yin. "Modelling pipelined computer architectures." Thesis, Imperial College London, 1988. http://hdl.handle.net/10044/1/46997.

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趙宇飛 and Yufei Zhao. "Computer modelling of cloth objects." Thesis, The University of Hong Kong (Pokfulam, Hong Kong), 1997. http://hub.hku.hk/bib/B31236431.

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Reed, Melissa. "Computer modelling of mammoth extinction." Thesis, University of Reading, 1999. http://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.297314.

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Raine, A. R. C. "Computer modelling of protein structure." Thesis, University of York, 1990. http://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.277222.

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Mills, Glen E. "Computer modelling of polymer electrolytes." Thesis, Keele University, 1997. http://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.242281.

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Anderson, Thomas R. "Computer modelling of agroforestry systems." Thesis, University of Edinburgh, 1991. http://hdl.handle.net/1842/13429.

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The potential of agroforestry in the British uplands depends largely on the ability of system components to efficiently use resources for which they compete. A typical system would comprise conifers planted at wide spacing, with sheep grazing pasture beneath. Computer models were developed to investigate the growth of trees and pasture in a British upland agroforest system, assuming that growth is primarily a function of light intercepted. Some of the implications of growing trees at wide spacing compared to conventional spacings, and the impact of trees on the spatial and annual production of pasture, were examined. Competition for environmental resources between trees and pasture was assumed to be exclusively for light: below-ground interactions were ignored. Empirical methods were used to try and predict timber production in agroforest stands based on data for conventional forest stands, and data for widely-spaced radiata pine grown in South Africa. These methods attempted to relate stem volume increment to stand density, age, and derived competition measures. Inadequacy of the data base prevented successful extrapolation of growth trends of British stands, although direct extrapolation of the South African data did permit predictions to be made. A mechanistic individual-tree growth model was developed, both to investigate the mechanisms of tree growth at wide spacings, and to provide an interface for a pasture model to examine pasture growth under the shading conditions imposed by a tree canopy. The process of light interception as influenced by radiation geometry and stand architecture was treated in detail. Other features given detailed consideration include carbon partitioning, respiration, the dynamics of foliage and crown dimensions, and wood density within tree stems. The predictive ability of the model was considered poor, resulting from inadequate knowledge and data on various aspects of tree growth. The model highlighted the need for further research into the dynamics of crown dimensions, foliage dynamics, carbon partitioning patterns and wood density within stems, and how these are affected by wide spacing. A pasture model was developed to investigate growth beneath the heterogeneous light environment created by an agroforest tree canopy. Pasture growth was closely related to light impinging on the crop, with temperature having only a minor effect. The model highlighted the fact that significant physiological adaptation (increased specific leaf area, decreased carbon partitioned below-ground and changes in the nitrogen cycle) is likely to occur in pasture shaded by a tree canopy.

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Taylor, Steven John. "Computer modelling of pyrotechnic combustion." Thesis, Rhodes University, 1996. http://hdl.handle.net/10962/d1006913.

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One of the most important industrial uses of pyrotechnic compositions is as delay fuses in electric detonators. Many factors influence the rate of burning of such fuses. These include (a) the primary choice of chemical components, followed by (b) the physical properties of these components, particularly the particle-size and distribution of the fuel, (c) the composition of the system chosen and (d) the presence of additives and/or impurities. A full experimental study of the influences of even a few of these factors, while attempting to hold other potential variables constant, would be extremely time consuming and hence attention has been focused on the possibilities of modelling pyrotechnic combustion. Various approaches to the modelling of pyrotechnic combustion are discussed. These include:- (i) one-dimensional finite-difference models; (ii) two-dimensional finite-element models; (iii) particle-packing considerations; (iv) Monte Carlo models. Predicted behaviour is compared with extensive experimental information for the widely-used antimony/potassium permanganate pyrotechnic system, and the tungsten /potassium dichromate pyrotechnic system. The one-dimensional finite-difference model was investigated to give a simple means of investigating the effects of some parameters on the combustion of a pyrotechnic. The two-dimensional finite-difference model used similar inputs, but at the expense of considerably more computer power, gave more extensive information such as the shape of the burning front and the temperature gradients throughout the column and within the casing material. Both these models gave improved results when allowance was made for autocatalytic kinetics in place of the usual assumption of an "order-of-reaction", n ≤ 1. The particle-packing model investigated the qualitative relationship between the maximum burning rate of a pyrotechnic system and the maximum number of contact points (per 1.00 g composition) calculated for that system. Qualitative agreement was found for those systems which are presumed to burn mainly via solid-solid reactions. The Monte Carlo model investigated the effect of the random packing of fuel and oxidant particles on the variability of the burning rate of a pyrotechnic composition.

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Books on the topic "Computer modelling"

1

Mc Auley, Mark Tomás. Computer Modelling for Nutritionists. Cham: Springer International Publishing, 2019. http://dx.doi.org/10.1007/978-3-319-39994-2.

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2

International Association for Mathematical and Computer Modelling. Mathematical and computer modelling. Oxford: Pergamon Press, 1988.

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Neelamkavil, Francis. Computer simulation and modelling. Chichester [Sussex, England]: Wiley, 1987.

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1937-, Smith John R., and Diserens N. J, eds. Computer modelling in electrostatics. Letchworth, Hertfordshire, England: Research Studies Press, 1985.

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Leinala, Tommi Johannes. Computer modelling of landslides. Ottawa: National Library of Canada, 1998.

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Jacek, Mazurkiewicz. Problems of dependability and modelling. Wrocław: Oficyna Wydawnicza Politechniki Wrocławskiej, 2011.

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MCFARLANE, BOB. Modelling with AutoCAD 2004. San Diego: Elsevier Science & Technology, 2010.

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8

Evans, D. G. The modelling of computer systems. Manchester: UMIST, 1994.

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Goodfellow, Julia M., ed. Computer Modelling in Molecular Biology. Weinheim, Germany: Wiley-VCH Verlag GmbH, 1995. http://dx.doi.org/10.1002/9783527615339.

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Stýskala, Vítězslav, Dmitrii Kolosov, Václav Snášel, Taalaybek Karakeyev, and Ajith Abraham, eds. Intelligent Systems for Computer Modelling. Cham: Springer International Publishing, 2016. http://dx.doi.org/10.1007/978-3-319-27644-1.

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Book chapters on the topic "Computer modelling"

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Fish, Peter J. "Computer Modelling." In Electronic Noise and Low Noise Design, 192–209. London: Macmillan Education UK, 1993. http://dx.doi.org/10.1007/978-1-349-23060-0_8.

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Barton, Trevor M. "Computer Simulations." In Semiconductor Device Modelling, 227–47. London: Springer London, 1989. http://dx.doi.org/10.1007/978-1-4471-1033-0_14.

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Powers, David M. W., and Christopher C. R. Turk. "Computer Modelling Experiments." In Machine Learning of Natural Language, 327–58. London: Springer London, 1989. http://dx.doi.org/10.1007/978-1-4471-1697-4_14.

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Cerf, Raphaël, and Joseba Dalmau. "Computer Simulations." In Probability Theory and Stochastic Modelling, 87–93. Cham: Springer International Publishing, 2022. http://dx.doi.org/10.1007/978-3-031-08663-2_12.

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Harding, J. H. "Computer Modelling of Defects." In Defects and Disorder in Crystalline and Amorphous Solids, 315–39. Dordrecht: Springer Netherlands, 1994. http://dx.doi.org/10.1007/978-94-011-1942-9_14.

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Catlow, C. R. A. "Computer Modelling of Superionics." In NATO ASI Series, 1–21. Boston, MA: Springer US, 1989. http://dx.doi.org/10.1007/978-1-4613-0509-5_1.

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Catlow, C. R. A. "Computer Modelling of Silicates." In Physical Properties and Thermodynamic Behaviour of Minerals, 619–38. Dordrecht: Springer Netherlands, 1988. http://dx.doi.org/10.1007/978-94-009-2891-6_17.

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Korn, J., J. D. Cumbers, and F. Huss. "Computer Aided Systems Modelling." In Applications of Artificial Intelligence in Engineering Problems, 201–13. Berlin, Heidelberg: Springer Berlin Heidelberg, 1986. http://dx.doi.org/10.1007/978-3-662-21626-2_18.

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Dawson, Catherine. "Computer modelling and simulation." In A–Z of Digital Research Methods, 45–51. Abingdon, Oxon ; New York, NY : Routledge, 2019.: Routledge, 2019. http://dx.doi.org/10.4324/9781351044677-8.

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Czerniawska, Fiona, and Gavin Potter. "Computer Modelling and Complexity." In Business in a Virtual World, 168–88. London: Palgrave Macmillan UK, 1998. http://dx.doi.org/10.1057/9780230509337_14.

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Conference papers on the topic "Computer modelling"

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VENA, A., G. M. INSOLERA, R. GIULIANI, T. FIORE, and G. PERCHIAZZI. "COMPUTER ANALYSIS OF ACOUSTIC RESPIRATORY SIGNALS." In Modelling Biomedical Signals. WORLD SCIENTIFIC, 2002. http://dx.doi.org/10.1142/9789812778055_0005.

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Lazowska, Edward D. "Modelling of computer systems." In the 17th conference. New York, New York, USA: ACM Press, 1985. http://dx.doi.org/10.1145/21850.253068.

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Arandjelović, Ognjen. "Computer Simulation based Parameter Selection for Resistance Exercise." In Modelling and Simulation. Calgary,AB,Canada: ACTAPRESS, 2013. http://dx.doi.org/10.2316/p.2013.802-016.

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Oguike, O. E., D. U. Ebem, M. N. Agu, S. C. Echezona, H. O. D. Longe, and O. Abass. "Performance Metrics of Compute Intensive Applications of a Single Processor Computer System." In 2011 5th Asia Modelling Symposium (AMS 2011). IEEE, 2011. http://dx.doi.org/10.1109/ams.2011.52.

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Fearing, Paul. "Computer modelling of fallen snow." In the 27th annual conference. New York, New York, USA: ACM Press, 2000. http://dx.doi.org/10.1145/344779.344809.

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Koit, Mare, and Haldur Õim. "Modelling Debates on the Computer." In International Conference on Knowledge Engineering and Ontology Development. SCITEPRESS - Science and and Technology Publications, 2014. http://dx.doi.org/10.5220/0005129303610368.

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Radev, Dimitar, Elena Rashkova, and Georgi Hristov. "Computer modelling of wireless architectures." In 2008 4th European Conference on Circuits and Systems for Communications (ECCSC. IEEE, 2008. http://dx.doi.org/10.1109/eccsc.2008.4611700.

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Arimond, John, Bruce B. Fitts, and Vincent R. Landi. "Computer Modelling of Phenolic Postcure." In SAE International Congress and Exposition. 400 Commonwealth Drive, Warrendale, PA, United States: SAE International, 1987. http://dx.doi.org/10.4271/870536.

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Longo, Giuseppe. "Computer modelling and natural phenomena." In the 9th European software engineering conference held jointly with 10th ACM SIGSOFT international symposium. New York, New York, USA: ACM Press, 2003. http://dx.doi.org/10.1145/940071.940072.

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Alfadhl, Y., D. Li, and X. Chen. "Advanced computer modelling of magnetrons." In 2010 International Conference on the Origins and Evolution of the Cavity Magnetron (CAVMAG2010). IEEE, 2010. http://dx.doi.org/10.1109/cavmag.2010.5565563.

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Reports on the topic "Computer modelling"

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Farwagi, S. M. Computer Modelling of Two-Phase Flow. Fort Belvoir, VA: Defense Technical Information Center, October 1986. http://dx.doi.org/10.21236/ada175048.

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Srajer, V. The computer modelling of surface coal mining operations. Natural Resources Canada/ESS/Scientific and Technical Publishing Services, 1985. http://dx.doi.org/10.4095/304773.

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Hadjiconstantinou, E., and G. Mitra. Computer Assisted Analysis and Modelling of Structured Problems. Fort Belvoir, VA: Defense Technical Information Center, December 1990. http://dx.doi.org/10.21236/ada233592.

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Hadjiconstantinou, E., and G. Mitra. Computer Assisted Analysis and Modelling of Structured Problems. Fort Belvoir, VA: Defense Technical Information Center, May 1990. http://dx.doi.org/10.21236/ada222991.

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Theva Das, Kumitaa. Computer modelling to aid search for HIV vaccine. Edited by S. Vicknesan. Monash University, April 2022. http://dx.doi.org/10.54377/e1a8-6f3e.

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Duesbery, M. S., and N. P. Louat. Computer Modelling of Cyclic Deformation of High-Temperature Materials. Fort Belvoir, VA: Defense Technical Information Center, May 1994. http://dx.doi.org/10.21236/ada282457.

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Duesbery, M. S., and N. P. Louat. Computer Modelling of Cyclic Deformation of High-Temperature Materials. Fort Belvoir, VA: Defense Technical Information Center, November 1992. http://dx.doi.org/10.21236/ada258404.

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Комарова, Олена Володимирівна, and Альберт Армаїсович Азарян. Computer Simulation of Biological Processes at the High School. CEUR Workshop Proceedings (CEUR-WS.org), 2018. http://dx.doi.org/10.31812/123456789/2695.

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Abstract. Research goals: the necessity of study in high school of the law of Hardy – Weinberg as one of the fundamental genetic laws was justified. The peculiarities of using the method of model experiment in the study of the genetic and evolutionary processes in populations with the use of computer technology. Object of research: computer simulation of population genetic structure. Subject of research: computer simulation of genetic and evolutionary processes in ideal and real populations. Research methods: pedagogical experiment (survey), analysis of scientific publications on the use of the high school method of modelling genetic and evolutionary processes in populations, computer simulation. Results of the research: a web page for processing by the pupils of the modelling results of genetic and evolutionary processes in populations was created.

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Комарова, Олена Володимирівна, and Альберт Арамаїсович Азарян. Computer Simulation of Biological Processes at the High School. CEUR-WS.org, 2018. http://dx.doi.org/10.31812/123456789/2656.

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Research goals: the necessity of study in high school of the law of Hardy – Weinberg as one of the fundamental genetic laws was justified. The peculiarities of using the method of model experiment in the study of the genetic and evolutionary processes in populations with the use of computer technology. Object of research: computer simulation of population genetic structure. Subject of research: computer simulation of genetic and evolutionary processes in ideal and real populations. Research methods: pedagogical experiment (survey), analysis of scientific publications on the use of the high school method of modelling genetic and evolutionary processes in populations, computer simulation. Results of the research: a web page for processing by the pupils of the modelling results of genetic and evolutionary processes in populations was created.

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Zaytseva, Tatyana, Lyudmila Kravtsova, and Anna Puliaieva. Computer Modelling of Educational Process as the Way to Modern Learning Technologies. [б. в.], June 2019. http://dx.doi.org/10.31812/123456789/3180.

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