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Books on the topic 'Automatic optimisation'

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

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1

M, Renard, and Bimbenet J. J, eds. Automatic control and optimisation of food processes. London: Elsevier Applied Science, 1988.

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2

1961-, Yang Jian-Bo, and Whidborne J. F. 1960-, eds. Multiobjective optimisation and control. Baldock, Hertfordshire, England: Research Studies Press, 2003.

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3

R, Bars, Gyurkovics É, and International Federation of Automatic Control., eds. Control applications of optimisation 2003 (CAO 2003): A proceedings volume from the 12th IFAC Workshop, Visegrád, Hungary, 30 June - 2 July 2003. Oxford: Published for the Federation of Automatic Control by Elsevier, 2003.

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4

1950-, Cipriano Aldo, and Ordys A. W. 1956-, eds. Optimisation of industrial processes at supervisory level: Application to control of thermal power plants. London: Springer, 2002.

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5

John, Cagnol, and Zolésio J. P, eds. System modeling and optimization: Proceedings of the 21st IFIP TC7 Conference held in July 21st-25th, 2003, Sophia Antipolis, France. [Boston?]: Kluwer Academic Publishers, 2005.

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6

Kilkki, Juha. Automated formulation of optimisation models for steel beam structures. Lappeenranta, Finland: Lappeenranta University of Technology, 2002.

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7

Nawrocki, Maciej J., Mischa Dohler, and A. Hamid Aghvami, eds. Understanding UMTS Radio Network Modelling, Planning and Automated Optimisation. Chichester, UK: John Wiley & Sons, Ltd, 2006. http://dx.doi.org/10.1002/0470030569.

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8

Carroll, S. J. Automated optimisation of the design of gallium arsenide switched capacitor circuits. Manchester: UMIST, 1993.

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9

J, Henry, Yvon J. -P, and International Federation for Information Processing., eds. System modelling and optimization: Proceedings of the 16th IFIP-TC7 conference, Compiègne, France, July 5-9, 1993. London: Springer-Verlag, 1994.

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10

Choi-Hong, Lai, and Wu Xiao-Jun, eds. Particle swarm optimisation: Classical and quantum perspectives. Boca Raton: CRC Press, 2011.

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11

Mission, Systems Panel Workshop on ATM (1997 Budapest Hungary). Air Traffic management: Support for decision making optimisation-automation = La gestion du traffic aérien : aide à la décision optimisation-automation : conference proceedings of the Mission Systems Panel Workshop on ATM held in Budapest, Hungary, 27-29 May, 1997. Neuilly-sur-Seine, France: North Atlantic Treaty Organization, Advisory Group for Aerospace Research & Development, 1997.

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12

Renard, M. Automatic Control and Optimisation of Food Processes. Elsevier Applied Science, 1989.

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13

Yang, Jian-Bo, G. P. Liu, and J. F. Whidborne. Multiobjective Optimisation & Control (Engineering Systems Modelling and Control Series). Research Studies Press, 2002.

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14

Saez, Doris A., Aldo Cipriano, and Andrzej W. Ordys. Optimisation of Industrial Processes at Supervisory Level: Application to Control of Thermal Power Plants (Advances in Industrial Control). Springer, 2001.

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15

(Editor), John Cagnol, and Jean-Paul Zolésio (Editor), eds. System Modeling and Optimization: Proceedings of the 21st IFIP TC7 Conference held in July 21st - 25th, 2003, Sophia Antipolis, France (IFIP International Federation for Information Processing). Springer, 2004.

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16

McLean, Donald, and Claire-Louise Chapple. CT dosimetry. Oxford University Press, 2015. http://dx.doi.org/10.1093/med/9780199655212.003.0015.

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The computed tomography (CT) medical examination is the highest single source of radiation to the general public in the developed world. Its use is rapidly growing, as is its technical complexity. The primary dosimetry formalism is based on the computed tomography dose index (CTDI), which can be measured in air or in standard phantoms using a calibrated pencil ionization chamber with adaptations for wide beam scanners. Displayed dose parameters can be used with caution to estimate patient organ doses, effective dose, and risk, using a variety of models and software. An understanding of automatic exposure control and the influence of patient size is essential when interpreting dosimetry results. CT examination protocols require optimisation, including the appropriate use of newly available dose reduction features. Particular consideration needs to be given to paediatric CT and to specialist applications such as radiotherapy planning, cardiac CT and volume imaging.
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17

Andre, Benoit, and Advisory Group for Aerospace Research and Development. Mission Systems Panel., eds. Air traffic management: Support for decision making optimisation-automation = la gestion de traffic aerien : aide a la decision optimisation-automation. Neuilly sur Seine: Agard, 1997.

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18

Aghvami, Hamid, Mischa Dohler, and Maciej Nawrocki. Understanding UMTS Radio Network Modelling, Planning and Automated Optimisation: Theory and Practice. Wiley & Sons, Incorporated, John, 2006.

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19

Understanding UMTS Radio Network Modelling, Planning and Automated Optimisation: Theory and Practice. Wiley, 2006.

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20

Hirsch-Kreinsen, Hartmut, Peter Ittermann, and Jonathan Falkenberg, eds. Szenarien digitalisierter Einfacharbeit. Nomos Verlagsgesellschaft mbH & Co. KG, 2019. http://dx.doi.org/10.5771/9783845298092.

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In the debate on the digitisation of work, a widespread loss of jobs, especially among low-skilled workers, is expected. Although similar developments were feared in previous automation waves, they have only partially occurred. The current diffusion of digital technologies in production and logistics has raised this question again. Using empirical research, this study shows that low-skilled work does not disappear through digitisation, but significantly changes structurally. It groups these changes to low-skilled work into four scenarios: automation and substitution, digital optimisation and Taylorisation, upgrading and adaptivity, and structural conservatism and stabilisation. With contributions by Jörg Abel, Martin Eisenmann, Jonathan Falkenberg, Hartmut Hirsch-Kreinsen, Peter Ittermann, Ralf Kopp, Edelgard Kutzner, Ulf Ortmann, Victoria Schnier, Alfredo Virgillito and Tobias Wienzek.
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21

J, Nawrocki Maciej, Dohler Mischa, and Aghvami A. Hamid, eds. Understanding UMTS radio network modelling, planning and automated optimisation: Theory and practice / edited by Maciej J. Nawrocki, Mischa Dohler, A. Hamid Aghvami. Chichester: John Wiley & Sons, 2006.

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22

Oulasvirta, Antti, Per Ola Kristensson, Xiaojun Bi, and Andrew Howes, eds. Computational Interaction. Oxford University Press, 2018. http://dx.doi.org/10.1093/oso/9780198799603.001.0001.

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This book presents computational interaction as an approach to explaining and enhancing the interaction between humans and information technology. Computational interaction applies abstraction, automation, and analysis to inform our understanding of the structure of interaction and also to inform the design of the software that drives new and exciting human-computer interfaces. The methods of computational interaction allow, for example, designers to identify user interfaces that are optimal against some objective criteria. They also allow software engineers to build interactive systems that adapt their behaviour to better suit individual capacities and preferences. Embedded in an iterative design process, computational interaction has the potential to complement human strengths and provide methods for generating inspiring and elegant designs. Computational interaction does not exclude the messy and complicated behaviour of humans, rather it embraces it by, for example, using models that are sensitive to uncertainty and that capture subtle variations between individual users. It also promotes the idea that there are many aspects of interaction that can be augmented by algorithms. This book introduces computational interaction design to the reader by exploring a wide range of computational interaction techniques, strategies and methods. It explains how techniques such as optimisation, economic modelling, machine learning, control theory, formal methods, cognitive models and statistical language processing can be used to model interaction and design more expressive, efficient and versatile interaction.
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