Relevant bibliographies by topics / Machine foundations

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  1. Journal articles
  2. Dissertations / Theses
  3. Books
  4. Book chapters
  5. Conference papers
  6. Reports

Academic literature on the topic 'Machine foundations'

Author: Grafiati
Published: 4 June 2021
Last updated: 1 February 2022

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Journal articles on the topic "Machine foundations"

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Ziolkowski, Patryk, Sebastian Demczynski, and Maciej Niedostatkiewicz. "Assessment of Failure Occurrence Rate for Concrete Machine Foundations Used in Gas and Oil Industry by Machine Learning." Applied Sciences 9, no. 16 (2019): 3267. http://dx.doi.org/10.3390/app9163267.

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Concrete machine foundations are structures that transfer loads from machines in operation to the ground. The design of such foundations requires a careful analysis of the static and dynamic effects caused by machine exploitation. There are also other substantial differences between ordinary concrete foundations and machine foundations, of which the main one is that machine foundations are separated from the building structure. Appropriate quality and the preservation of operational parameters of machine foundations are essential, especially in the gas and oil industry, where every disruption
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Al-Wakel, Saad, and Ahmed Abdulrasool. "Effect of soil stabilized by cement on dynamic response of machine foundations." MATEC Web of Conferences 162 (2018): 01001. http://dx.doi.org/10.1051/matecconf/201816201001.

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Machine foundations require significant attention from designers. The main goal of the design of machine foundation is to limit the amplitude displacement and not disturb the people who work near the machine. In some cases, if the design of machine foundations does not satisfy the acceptable value of the dynamic response (such as maximum amplitude of displacement), the stabilization of soil under the machine foundation may be used to decrease the amplitude of displacement. This paper outlines effect of stabilized soil under the foundation by cement on the displacement response of machine found
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Zhang, Yi, Wanlu Chen, Suqin Dou, Panpan Li, Hai Gu, and Ren-E. Dong. "Constructing Machine Tool Foundations Using an LMP Alloy." Materials 13, no. 7 (2020): 1649. http://dx.doi.org/10.3390/ma13071649.

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Currently, the construction of machine tool foundations is a complicated and lengthy procedure with a limited flexibility. In this paper, we present a novel system for constructing machine tool foundations that replaces the need for concrete or concrete-polymer hybrids with a low melting point (LMP) alloy. The system uses a hot bath method to maintain the LMP alloy grouting in liquid form. A fixing device is used to control the embedded depth and positional accuracy of the foundation bolt assembly. The grouting material is injected into the foundation pit by a filling device. This can be extra
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Macnar, Kazimierz, Andrzej Gonet, and Stanisław Stryczek. "Wybrane zagadnienia geotechniczne posadowienia urządzeń wiertniczych." Nafta-Gaz 77, no. 5 (2021): 313–22. http://dx.doi.org/10.18668/ng.2021.05.04.

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This article presents selected geotechnical issues occurring at the foundation of drilling rigs for geological works included in the Operation Plan of a company performing geological works, in the aspect of designing and construction of their foundations and a yard. In the construction of drilling equipment, at least two main zones can be distinguished, often requiring separate foundations for individual machines: the zone near the borehole, including crane components, mast and drill pipe drive, and the so-called machine hall zone, including drive units and elements of mud system. The machine
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Peukert, Bernd W., and Andreas Archenti. "Dynamic Interaction Between Precision Machine Tools and Their Foundations." International Journal of Automation Technology 14, no. 3 (2020): 386–98. http://dx.doi.org/10.20965/ijat.2020.p0386.

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The manufacturing accuracy of modern machine tools strongly depends on the placement of the machine tool structure on the factory’s foundation. Civil engineering knows a variety of foundation types and factory planners must carefully consider local circumstances such as the size and the properties of the regional subsoil as well as the individual requirements of machine tools. Two of the major reasons for the effect of the foundation onto the machining accuracy are the added stiffness and the increased mass from the installation site’s foundation. A change of these characteristics greatly affe
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Nayfeh, Ali H., and Samir J. Serhan. "Vertical Vibration of Machine Foundations." Journal of Geotechnical Engineering 115, no. 1 (1989): 56–74. http://dx.doi.org/10.1061/(asce)0733-9410(1989)115:1(56).

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Lakshmanan, N., K. Muthumani, and N. Gopalakrishnan. "Forensic engineering for machine foundations." International Journal of Forensic Engineering 1, no. 3/4 (2013): 301. http://dx.doi.org/10.1504/ijfe.2013.053577.

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Haldar, S., and G. L. Sivakumar Babu. "Improvement of machine foundations using reinforcement." Proceedings of the Institution of Civil Engineers - Ground Improvement 162, no. 4 (2009): 199–204. http://dx.doi.org/10.1680/grim.2009.162.4.199.

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Ramamurti, V. "Dynamics of Machine Foundations - Case Studies." Shock and Vibration Digest 25, no. 12 (1993): 9–11. http://dx.doi.org/10.1177/058310249302501205.

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Lapin, S. K. "Transmission of vertical oscillations from machine foundations to adjacent building foundations." Soil Mechanics and Foundation Engineering 35, no. 3 (1998): 74–77. http://dx.doi.org/10.1007/bf02465912.

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Dissertations / Theses on the topic "Machine foundations"

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Bhat, Sooraj. "Syntactic foundations for machine learning." Diss., Georgia Institute of Technology, 2013. http://hdl.handle.net/1853/47700.

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Machine learning has risen in importance across science, engineering, and business in recent years. Domain experts have begun to understand how their data analysis problems can be solved in a principled and efficient manner using methods from machine learning, with its simultaneous focus on statistical and computational concerns. Moreover, the data in many of these application domains has exploded in availability and scale, further underscoring the need for algorithms which find patterns and trends quickly and correctly. However, most people actually analyzing data today operate far from the e
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Bu, Suhol. "Dynamic boundary element analysis of machine foundations." Thesis, University of Glasgow, 1994. http://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.295386.

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Mbawala, Silipius Joseph. "Behaviour of machine foundations subjected to vertical dynamic loading." Thesis, University of Pretoria, 2015. http://hdl.handle.net/2263/56087.

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The vertical dynamic behaviour of machine foundations subjected to vertical dynamic loading was investigated for surface and embedded foundations. The responses of these machine foundations were determined using analytical and numerical solutions ranging from simple to complex. An accurate prediction of impedance functions for the foundation system is a key step in the design procedures. The prediction accuracy depends on how close the modelling procedures are to reality. The subject of soil dynamics is complex. At times, the choice of the analysis model is based on the experience of the
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Templin, Carl S. "Dismantling the War Machine: The Existential Foundations of Peace." University of Toledo / OhioLINK, 2010. http://rave.ohiolink.edu/etdc/view?acc_num=toledo1289962133.

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Holley, Julian. "Oneiric Machine Learning : The Foundations of Dream Inspired Adaptive Systems." Thesis, University of the West of England, Bristol, 2008. http://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.495516.

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Artificial adaptive systems inspired or derived from neuro-biological components and processes have shown great promise at several levels. One behaviour required for the continuous functional operation of advanced neuro-biological systems is sleep. A definitive function or purpose for sleep and of the associated phenomenology such as dreaming, remains elusive. Correspondingly there remain many unresolved issues within the domain of artificial learning systems. One such aspect that largely remains intractable is the management of experiences once learned and encoded. This is the general problem
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Myers, Alan. "The effect of concrete foundations and machine thermal conditions on the accuracy of large machine tools." Thesis, University of Huddersfield, 2017. http://eprints.hud.ac.uk/id/eprint/34454/.

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This thesis comprises of eighteen publications which describe research work which has been carried out into two aspects regarding the accuracy of large machine tools. The first six papers discuss the concrete foundations on which the machines are supported and the remaining twelve papers describe the consequences of thermal effects on machines. The publications are all ones of joint authorship, with the candidate being one of the named authors. Manufacturing industry and the precision requirements of large machine tools: The thesis reviews the range of errors and their causes that effect large
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Carpentier, Justin. "Computational foundations of anthropomorphic locomotion." Thesis, Toulouse 3, 2017. http://www.theses.fr/2017TOU30376/document.

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La locomotion anthropomorphe est un processus complexe qui met en jeu un très grand nombre de degrés de liberté, le corps humain disposant de plus de trois cents articulations contre une trentaine chez les robots humanoïdes. Pris dans leur ensemble, ces degrés de liberté montrent une certaine cohérence rendant possible la mise en mouvement du système anthropomorphe et le maintien de son équilibre, dans le but d'éviter la chute. Cette thèse met en lumière les fondements calculatoires à l'origine de cette orchestration. Elle introduit un cadre mathématique unifié permettant à la fois l'étude de
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Neto, Edgard Sant'Anna de Almeida. "Introdução a analise dinâmica de fundações de máquinas." Universidade de São Paulo, 1989. http://www.teses.usp.br/teses/disponiveis/3/3144/tde-08122003-082155/.

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Este trabalho apresenta conceitos e procedimentos que devem ser considerados na análise dinâmica de fundações de máquinas. São discutidas as abordagens e os métodos de cálculo à disposição dos engenheiros, assim como os fatores que influenciam a escolha e o desenvolvimento de modelos matemáticos adequados. Três tipos diferentes de fundação (fundações em bloco rígido, fundações de martelos e fundações aporticadas) são examinados, e são utilizados exemplos para demonstrar a eficácia de técnicas simples de modelagem.<br>This paper presents concepts and procedures necessary to the dynamic analysis
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Costa, Antonio Carlos da Rocha. "Inteligência de máquina : esboço de uma abordagem construtivista." reponame:Biblioteca Digital de Teses e Dissertações da UFRGS, 1993. http://hdl.handle.net/10183/17733.

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Este trabalho introduz uma definição para noção de inteligência de máquina, estabelece a possibilidade concreta dessa definição e fornece indicações sobre a sua necessidade - isto e, dá-lhe um conteúdo objetivo e mostra o interesse e a utilidade que a definição pode ter para a ciência da computação, em geral, e para a inteligência artificial, em particular. Especificamente, toma-se uma particular leitura da definição de inteligência dada por J. Piaget e se estabelecem as condições para que essa definição possa ser interpretada no domínio das máquinas. Para tanto, uma revisão das noções fundame
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Kvapil, Michal. "Stavebně technologický projekt Rezidence Na Plachtě." Master's thesis, Vysoké učení technické v Brně. Fakulta stavební, 2017. http://www.nusl.cz/ntk/nusl-265559.

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Writing of this master thesis was stimulated by my participation on compulsory practice and the level of its interest. The master thesis includes the description and technical documentation for the construction of the reinforced concrete building foundations. The aim of this thesis is to solve the method and potential problems of the concreting. As for the concreting machinery, I suggested to use the machines (mixer truck and mobile concrete pump) from the nearby concrete plant to reduce the total transportation costs. I’ve made an analysis of machine renting fees and price of fresh concrete b
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Books on the topic "Machine foundations"

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Jo, Taeho. Machine Learning Foundations. Springer International Publishing, 2021. http://dx.doi.org/10.1007/978-3-030-65900-4.

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Mohri, Mehryar. Foundations of machine learning. MIT Press, 2012.

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Adachi, Akeo. Foundations of computation theory. Ohmsha, 1990.

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Zhang, Zhihua. Statistical Machine Learning: Foundations, Methodologies and Models. John Wiley & Sons, Limited, 2017.

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Pandey, Manjusha, and Siddharth Swarup Rautaray, eds. Machine Learning: Theoretical Foundations and Practical Applications. Springer Singapore, 2021. http://dx.doi.org/10.1007/978-981-33-6518-6.

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Gruska, Jozef. Foundations of computing. International Thomson Computer Press, 1997.

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Smith, S. T. Foundations of ultraprecision mechanism design. Gordon and Breach Science Publishers, 1992.

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Nilsson, Nils J. The mathematical foundations of learning machines. Morgan Kaufmann, 1990.

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Meister, David. Behavioral foundations of system development. 2nd ed. R.E. Krieger, 1985.

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Marc, Breedlove S., ed. The mind's machine: Foundations of brain and behavior. Sinauer Associates, Inc. Publishers, 2012.

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Book chapters on the topic "Machine foundations"

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Wilson, R. R. "Machine Foundations." In Vibrations of Engineering Structures. Springer Berlin Heidelberg, 1985. http://dx.doi.org/10.1007/978-3-642-82390-9_10.

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Beyerer, Jürgen, Fernando Puente León, and Christian Frese. "A Mathematical Foundations." In Machine Vision. Springer Berlin Heidelberg, 2015. http://dx.doi.org/10.1007/978-3-662-47794-6_16.

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Jo, Taeho. "Support Vector Machine." In Machine Learning Foundations. Springer International Publishing, 2020. http://dx.doi.org/10.1007/978-3-030-65900-4_8.

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Jo, Taeho. "Data Encoding." In Machine Learning Foundations. Springer International Publishing, 2020. http://dx.doi.org/10.1007/978-3-030-65900-4_3.

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Jo, Taeho. "Numerical Vectors." In Machine Learning Foundations. Springer International Publishing, 2020. http://dx.doi.org/10.1007/978-3-030-65900-4_2.

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Jo, Taeho. "Decision Tree." In Machine Learning Foundations. Springer International Publishing, 2020. http://dx.doi.org/10.1007/978-3-030-65900-4_7.

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Jo, Taeho. "Probabilistic Learning." In Machine Learning Foundations. Springer International Publishing, 2020. http://dx.doi.org/10.1007/978-3-030-65900-4_6.

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Jo, Taeho. "Simple Machine Learning Algorithms." In Machine Learning Foundations. Springer International Publishing, 2020. http://dx.doi.org/10.1007/978-3-030-65900-4_4.

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Jo, Taeho. "K Means Algorithm." In Machine Learning Foundations. Springer International Publishing, 2020. http://dx.doi.org/10.1007/978-3-030-65900-4_10.

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Jo, Taeho. "Introduction." In Machine Learning Foundations. Springer International Publishing, 2020. http://dx.doi.org/10.1007/978-3-030-65900-4_1.

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Conference papers on the topic "Machine foundations"

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Lakshmanan, N., K. Muthumani, and N. Gopalakrishnan. "Forensic Engineering for Machine Foundations." In Indo-U.S. Forensic Engineering Workshop. American Society of Civil Engineers, 2010. http://dx.doi.org/10.1061/41149(393)2.

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Svinkin, Mark R. "Dynamic Effects of Impact Machine Foundations." In Geotechnical Earthquake Engineering and Soil Dynamics Congress IV. American Society of Civil Engineers, 2008. http://dx.doi.org/10.1061/40975(318)126.

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Wang, Yingxu. "Cognitive Informatics Foundations of Nature and Machine Intelligence." In 6th IEEE International Conference on Cognitive Informatics. IEEE, 2007. http://dx.doi.org/10.1109/coginf.2007.4341867.

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Romanelli, Marco, Kostantinos Chatzikokolakis, and Catuscia Palamidessi. "Optimal Obfuscation Mechanisms via Machine Learning." In 2020 IEEE 33rd Computer Security Foundations Symposium (CSF). IEEE, 2020. http://dx.doi.org/10.1109/csf49147.2020.00019.

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Barthe, Gilles, Daniel Hedin, Santiago Zanella Béguelin, Benjamin Grégoire, and Sylvain Heraud. "A Machine-Checked Formalization of Sigma-Protocols." In 2010 IEEE 23rd Computer Security Foundations Symposium (CSF). IEEE, 2010. http://dx.doi.org/10.1109/csf.2010.24.

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Rudolf, Lukas. "THE METHOD OF DETECTING MOVEMENTS OF THE MACHINE TOOL FOUNDATIONS." In 17th International Multidisciplinary Scientific GeoConference SGEM2017. Stef92 Technology, 2017. http://dx.doi.org/10.5593/sgem2017/13/s03.113.

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Vivek, P., and Priyanka Ghosh. "Dynamic Interaction of Two Nearby Machine Foundations on Homogeneous Soil." In GeoCongress 2012. American Society of Civil Engineers, 2012. http://dx.doi.org/10.1061/9780784412121.003.

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Clarkson, Kenneth L., Elad Hazan, and David P. Woodruff. "Sublinear Optimization for Machine Learning." In 2010 IEEE 51st Annual Symposium on Foundations of Computer Science (FOCS). IEEE, 2010. http://dx.doi.org/10.1109/focs.2010.50.

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Lounici, Sofiane, Mohamed Njeh, Orhan Ermis, Melek Onen, and Slim Trabelsi. "Yes We can: Watermarking Machine Learning Models beyond Classification." In 2021 IEEE 34th Computer Security Foundations Symposium (CSF). IEEE, 2021. http://dx.doi.org/10.1109/csf51468.2021.00044.

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Hildenbrandt, Everett, Manasvi Saxena, Nishant Rodrigues, et al. "KEVM: A Complete Formal Semantics of the Ethereum Virtual Machine." In 2018 IEEE 31st Computer Security Foundations Symposium (CSF). IEEE, 2018. http://dx.doi.org/10.1109/csf.2018.00022.

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Reports on the topic "Machine foundations"

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Scanlon, Raymond, and Mark Johnson. Machine Intelligence. Part 2. Biological Foundations. Defense Technical Information Center, 1990. http://dx.doi.org/10.21236/ada227180.

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Duersch, Jed, Thomas Catanach, and Ming Gu. CIS-LDRD Project 218313 Final Technical Report. Parsimonious Inference Information-Theoretic Foundations for a Complete Theory of Machine Learning. Office of Scientific and Technical Information (OSTI), 2020. http://dx.doi.org/10.2172/1668936.

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Cary, Dakota. China’s CyberAI Talent Pipeline. Center for Security and Emerging Technology, 2021. http://dx.doi.org/10.51593/2020ca017.

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To what extent does China’s cultivation of talent in cybersecurity and AI matter in terms of competitiveness with other countries? Right now, it seems to have an edge: China’s 11 World-Class Cybersecurity Schools offer more classes on artificial intelligence and machine learning than do the 20 U.S. universities certified as Centers of Academic Excellence in Cyber Operations. This policy brief recommends tracking 13 research grants from the National Science Foundation that attempt to integrate AI into cybersecurity curricula.
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Massachusetts specialty foundation company laborer dies in machinery entanglement. U.S. Department of Health and Human Services, Public Health Service, Centers for Disease Control and Prevention, National Institute for Occupational Safety and Health, 1994. http://dx.doi.org/10.26616/nioshsface93ma007.

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