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Journal articles on the topic 'Adaptive'

Author: Grafiati

Published: 4 June 2021

Last updated: 23 November 2024

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1

Frey, Andreas, Johannes Hartig, and Helfried Moosbrugger. "Effekte des adaptiven Testens auf die Motivation zur Testbearbeitung am Beispiel des Frankfurter Adaptiven Konzentrationsleistungs-Tests." Diagnostica 55, no. 1 (January 2009): 20–28. http://dx.doi.org/10.1026/0012-1924.55.1.20.

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Zusammenfassung. Seit den 1970er Jahren wird weithin angenommen, dass adaptives Testen im Vergleich zu nicht-adaptivem Testen eine motivationssteigernde Wirkung hat. In den letzten Jahren wurde jedoch wiederholt auch die gegensätzliche Sichtweise vertreten, dass sich adaptives Testen motivationsmindernd auswirken kann. Zur Klärung dieser Kontroverse wurde der Effekt adaptiven Testens mit dem Frankfurter Adaptiven Konzentrationsleistungs-Test (FAKT; Moosbrugger & Heyden, 1997 ) auf die Motivation zur Testbearbeitung experimentell untersucht (N = 79). Zwei unabhängige Stichproben bearbeiteten entweder eine adaptive oder eine nicht-adaptive Testform des FAKT. Die Motivation zur Testbearbeitung fiel in der adaptiven Versuchsbedingung signifikant niedriger aus als in der nicht-adaptiven Versuchsbedingung, p = .045, η2 = .051. Das Ergebnis widerspricht dem seit drei Dekaden weitgehend als Faktum angenommenen motivationssteigernden Effekt adaptiven Testens. Weitere Analysen zeigen, dass der motivationsmindernde Effekt adaptiven Testens vor allem auf die subjektive Einschätzung der Erfolgswahrscheinlichkeit zurückzuführen ist und nicht auf andere motivationale Komponenten wie die subjektive Misserfolgsbefürchtung oder die empfundene Herausforderung.

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Christoffel, Rebecca, Ali Felix, Daniel B. Kramer, and Nikki Lamp. "Adapting Adaptive Management." Wildlife Professional 2, no. 2 (2008): 45. http://dx.doi.org/10.4004/1933-2866(2008)2[45:aam]2.0.co;2.

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3

OVERTON, RANDALL C., HARVEY J. HARMS, L. ROGERS TAYLOR, and MICHAEL J. ZICKAR. "ADAPTING TO ADAPTIVE TESTING." Personnel Psychology 50, no. 1 (March 1997): 171–85. http://dx.doi.org/10.1111/j.1744-6570.1997.tb00907.x.

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4

Phelps, Lena E. "Adapting to Adaptive Learning." Peabody Journal of Education 95, no. 2 (March 14, 2020): 160–72. http://dx.doi.org/10.1080/0161956x.2020.1745615.

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5

Heimgärtner, Rüdiger. "Auf dem Weg zu einer generischen Architektur für die adaptive Mensch-Maschine-Interaktion im KraftfahrzeugTowards a Generic Adaptability Framework for Automotive HMI." i-com 8, no. 2 (August 2009): 19–24. http://dx.doi.org/10.1524/icom.2009.0020.

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ZusammenfassungDie Reduktion der mentalen Belastung des Fahrers in gefährlichen Verkehrssituationen erfordert eine automatische Anpassung der Mensch-Maschine-Interaktion (MMI) im Kraftfahrzeug (KFZ). Überdies kann die funktionale Komplexität heutiger Fahrerinformations- und Fahrerassistenzsysteme ohne den Einsatz adaptiver Mechanismen vom Fahrer alleine auf manuelle Art und Weise nicht mehr bewältigt werden. Im globalen Kontext wird auch eine Anpassung an kulturelle Unterschiede in der MMI gefordert. Dazu müssen die kulturellen Präferenzen der Benutzergruppen ermittelt werden. Adaptive Systeme im KFZ sollten ihr Look und Feel automatisch an die Bedürfnisse des Fahrers sowie an die Fahrsituation anpassen, welche jeweils kulturellen Rahmenbedingungen unterliegen.Die umsichtige Gestaltung einer entsprechenden Architektur für derartige adaptive Systeme unter Verwendung von Methoden interkulturellen Usability Engineerings kann dazu beitragen, die Probleme, welche aus adaptiven Mechanismen entstehen, zu bewältigen. Dazu wird der Weg der Architekturgenerierung hin zu einem generischen Adaptivitäts-Framework (GAF) für die MMI im KFZ aufgezeigt.

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Reckase, Mark, Unhee Ju, and Sewon Kim. "How Adaptive Is an Adaptive Test: Are All Adaptive Tests Adaptive?" Journal of Computerized Adaptive Testing 7, no. 1 (February 11, 2019): 1–14. http://dx.doi.org/10.7333/1902-0701001.

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7

Lim, Seung-Gag. "Performance Evaluation of H-MMA Adaptive Equalization Algorithm using Adaptive Modulus and Adaptive Step Size." Journal of the Institute of Internet Broadcasting and Communication 17, no. 1 (February 28, 2017): 83–88. http://dx.doi.org/10.7236/jiibc.2017.17.1.83.

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8

Brookner, E., and J. M. Howell. "Adaptive-adaptive array processing." Proceedings of the IEEE 74, no. 4 (1986): 602–4. http://dx.doi.org/10.1109/proc.1986.13507.

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9

Lermusiaux, Pierre F. J. "Adaptive modeling, adaptive data assimilation and adaptive sampling." Physica D: Nonlinear Phenomena 230, no. 1-2 (June 2007): 172–96. http://dx.doi.org/10.1016/j.physd.2007.02.014.

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10

Lazaro-Gredilla, Miguel, Luis A. Azpicueta-Ruiz, Aníbal R. Figueiras-Vidal, and Jerónimo Arenas-Garcia. "Adaptively Biasing the Weights of Adaptive Filters." IEEE Transactions on Signal Processing 58, no. 7 (July 2010): 3890–95. http://dx.doi.org/10.1109/tsp.2010.2047501.

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11

Xianqiang, Cui, and Yang Yuanxi. "Adaptively robust filtering with classified adaptive factors." Progress in Natural Science 16, no. 8 (August 1, 2006): 846–51. http://dx.doi.org/10.1080/10020070612330078.

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12

Yang, Yuanxi, and Xianqiang Cui. "Adaptively robust filter with multi adaptive factors." Survey Review 40, no. 309 (July 2008): 260–70. http://dx.doi.org/10.1179/003962608x325330.

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13

Qumer Gill, Asif, and Muhammad Atif Qureshi. "Adaptive Enterprise Architecture Modelling." Journal of Software 10, no. 5 (May 2015): 628–38. http://dx.doi.org/10.17706/jsw.10.5.628-638.

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14

Kretzschmar, C., R. Siegmund, and D. Müller. "Adaptive Buskodierverfahren zur verlustleistungseffizienten Datenübertragung auf Bussen digitaler Systeme." Advances in Radio Science 1 (May 5, 2003): 229–34. http://dx.doi.org/10.5194/ars-1-229-2003.

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Abstract. In diesem Beitrag wird ein Überblick ber transitionsmindernde Buskodierverfahren zur verlustleistungsminimierten Datenübertragung zwischen Modulen digitaler Systeme gegeben. Ein neues adaptives Verfahren, das Adaptive Minimum Weight Codes (AMWC) Verfahren wird vorgestellt, welches Datenworte auf einen Code mit minimalem Gewicht unter Nutzung dynamisch rekonfigurierbarer Codetabellen abbildet. Aufgrund der Anpassbarkeit der Kodiervorschrift benötigt es keine Kenntnis statistischer Parameter der zu übertragenden Datenströme und eignet sich deshalb insbesondere zur Kodierung von Datenströmen mit über der Zeit veränderlichen Parametern. Im Gegensatz zu anderen bislang publizieren adaptiven Verfahren, welche aufgrund ihres enormen Eigenverlustleistungsanteiles nicht effizient implementierbar sind, besitzt die Implementierung von AMWC einen geringeren Hardwareoverhead und verändert das Systembusinterface nicht. Der Beitrag stellt theoretische Grundlagen vor und gibt eine hardwareeffiziente Implementierung an. Experimentelle Untersuchungen ergaben eine Reduktion der Schaltaktivität um 38%.In this paper state-of-the-art transition-minimizing bus encoding schemes for power-efficient data transmission between modules of digital systems are summarized. A new adaptive scheme, the Adaptive Minimum Weight Codes (AMWC) is presented which maps data words unambiguously on a minimum weight code using dynamically reconfigurable code tables. Due to its adaptability our scheme does not require a priori knowledge about statistical parameters of data streams to be transmitted. Therefore it is especially suited for data streams with time-varying parameters. Unlike other adaptive techniques presented to date, which are infeasible to implement into hardware due to their tremendous overhead in self dissipated power, the implementation of our encoding technique requires less interface. The fundamentals of the encoding scheme and a hardware-efficient implementation are given. Experimental results showed a reduction in bus transition activity of up to 38%. hardware overhead and does not modify the system bus

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15

Schmitt, Kathrin, Andreas Gold, and Wolfgang A. Rauch. "Defizitäre adaptive Emotions- regulation bei Kindern mit ADHS." Zeitschrift für Kinder- und Jugendpsychiatrie und Psychotherapie 40, no. 2 (March 2012): 95–103. http://dx.doi.org/10.1024/1422-4917/a000156.

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Zielsetzung: Hauptziel der vorliegenden Studie ist es zu untersuchen, ob sich Kinder mit und ohne ADHS in den von ihnen angewendeten Emotionsregulationsstrategien unterscheiden. Zudem wird betrachtet, inwieweit die Emotionsregulationsmuster der Kinder mit ADHS mit weiteren psychischen Auffälligkeiten zusammenhängen. Methodik: 21 Kinder mit und 20 Kinder ohne ADHS im Alter von 10–13 Jahren bearbeiteten den Fragebogen zur Emotionsregulation bei Kindern und Jugendlichen (FEEL-KJ, Grob & Smolenski, 2005 ). Die Eltern der Studienteilnehmer füllten den Fragebogen zu Stärken Schwächen für Eltern (SDQ, Woerner, Becker & Rothenberger, 2004 ) aus. Ergebnisse: Kinder mit ADHS berichteten zur Regulation ihrer Emotionen seltener von adaptiven Strategien Gebrauch zu machen als die Kontrollprobanden, während sich im Selbstbericht hinsichtlich der maladaptiven Strategien keine Unterschiede zeigten. Im Einzelnen manifestierten sich signifikante Gruppenunterschiede bei den adaptiven Strategien «Kognitives Problemlösen», «Problemorientiertes Handeln», «Stimmung anheben», «Umbewertung» und «Zerstreuung». Auch gaben die Kinder mit ADHS an, signifikant seltener die Strategie «Soziale Unterstützung» einzusetzen. Im Rahmen von Korrelationsanalysen konnten ferner bedeutsame negative Zusammenhänge zwischen adaptiver Emotionsregulation und psychischen Auffälligkeiten nachgewiesen werden. Schlussfolgerungen: Von ADHS-betroffenen Kindern werden insbesondere solche Emotionsregulationsstrategien seltener eingesetzt, die auf eine problemfokussierte Änderung der jeweiligen Belastungssituation abzielen. Vor allem diejenigen Kinder mit ADHS leiden unter weiteren psychischen Auffälligkeiten, die besonders selten auf adaptive Emotionsregulationsstrategien zurückgreifen.

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16

Hasan, Sajib. "Adaptive Fitts for Adaptive Interface." AIUB Journal of Science and Engineering (AJSE) 17, no. 2 (July 31, 2018): 51–58. http://dx.doi.org/10.53799/ajse.v17i2.9.

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Adaptive interface would enable Human Computer Interaction apply machine learning to cope with human carelessness (mistakes), understand user performance level and provide an interaction interface accordingly. This study tends to translate the theoretical issues of human task into working model by investigating and implementing the predicting equation of human psychomotor behavior to a rapid and aimed movement, developed by Paul Fitt in 1954. The study finds logarithmic speed-accuracy trade-off and predict user performance in a common task “point-select” using common input device mouse. The performance of user is visualized as an evidence and this visualization make a valuable step toward understanding the change required in user interface to make the interface adaptive and consistent. It proposed a method of calculating the amount of change required through learning; add extension to the theory of machine intelligence and increase knowledge of Fitts applicability in terms of machine learning.

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17

Cavanna, Nicholas J., and Donald R. Sheehy. "Adaptive Metrics for Adaptive Samples." Algorithms 13, no. 8 (August 18, 2020): 200. http://dx.doi.org/10.3390/a13080200.

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We generalize the local-feature size definition of adaptive sampling used in surface reconstruction to relate it to an alternative metric on Euclidean space. In the new metric, adaptive samples become uniform samples, making it simpler both to give adaptive sampling versions of homological inference results and to prove topological guarantees using the critical points theory of distance functions. This ultimately leads to an algorithm for homology inference from samples whose spacing depends on their distance to a discrete representation of the complement space.

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18

ABRAMS, P. A. "‘Adaptive Dynamics’ vs. ‘adaptive dynamics’." Journal of Evolutionary Biology 18, no. 5 (August 25, 2005): 1162–65. http://dx.doi.org/10.1111/j.1420-9101.2004.00843.x.

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19

Doyle, Alaina. "Adaptive Challenges Require Adaptive Leaders." Performance Improvement 56, no. 9 (October 2017): 18–26. http://dx.doi.org/10.1002/pfi.21735.

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20

Hasselman, Lyndal. "Adaptive management; adaptive co-management; adaptive governance: what’s the difference?" Australasian Journal of Environmental Management 24, no. 1 (November 13, 2016): 31–46. http://dx.doi.org/10.1080/14486563.2016.1251857.

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21

Padron, Joel Perez, Jose Perez, Jose Javier Perez Diaz, and Carlos Astengo-Noguez. "Time-Delay Fractional Variable Order Adaptive Synchronization and Anti-Synchronization between Chen and Lorenz Chaotic Systems Using Fractional Order PID Control." Fractal and Fractional 7, no. 1 (December 21, 2022): 4. http://dx.doi.org/10.3390/fractalfract7010004.

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In this research work, time-delay adaptive synchronization and adaptive anti-synchronization of chaotic fractional order systems are analyzed via the Caputo fractional derivative, and the prob-lem of synchronization and anti-synchronization of chaotic systems of variable fractional order is solved by using the fractional order PID control law, the adaptive laws of variable-order frac-tional calculus, and a control law deduced from Lyapunov’s theory extended to systems of time-delay variable-order fractional calculus. In this research work, two important problems are solved in the control area: The first problem is described in which deals with syn-chro-nization of chaotic systems of adaptive fractional order with time delay, this problem is solved by using the fractional order PID control law and adaptative laws. The second problem is de-scribed in which deals with anti-synchronization of chaotic systems of adaptive frac-tional order with time delay, and this problem is solved by using the fractional order PID con-trol law and adaptative laws.

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22

Shchur, Vadym, and Ahmad Ali AlZubi. "OPTIMIZED ADAPTIVE LOAD BALANCING METHOD IN SDN NETWORKS USING THE ADAPTIVE ANT COLONY APPROACH." Measuring Equipment and Metrology 84, no. 4 (2023): 62–66. http://dx.doi.org/10.23939/istcmtm2023.04.062.

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In modern software-defined networks, providing efficient load balancing is a crucial task for optimal resource utilization and ensuring stable quality of service. To achieve these goals, in this paper, we propose a new innovative load- balancing method for SDN networks based on an anticolonial approach with dynamic parameter settings. This proposed method demonstrates high efficiency in the face of variable network dynamics and diverse node loads. Its main advantage is the ability to adapt to changing load and traffic conditions in real-time. The algorithm continuously analyses the load on the nodes and dynamically adjusts the weighting factors to ensure optimal traffic distribution. The proposed method stands out due to its ability to effectively maintain load balance under a variety of calls and loads, making it a powerful tool for ensuring reliability and performance in networks.

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23

Kraut, Anna, and Anton Bovier. "From adaptive dynamics to adaptive walks." Journal of Mathematical Biology 79, no. 5 (July 26, 2019): 1699–747. http://dx.doi.org/10.1007/s00285-019-01408-6.

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24

Volchik, Vyacheslav V., Yulia V. Filonenko, and Daria D. Krivosheeva-Medyantseva. "Adaptive Rationality, Adaptive Behavior and Institutions." Journal of Institutional Studies 7, no. 4 (2015): 138–55. http://dx.doi.org/10.17835/2076-6297.2015.7.4.138-155.

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25

Yu, Kai, and Mark J. F. Gales. "Bayesian Adaptive Inference and Adaptive Training." IEEE Transactions on Audio, Speech and Language Processing 15, no. 6 (August 2007): 1932–43. http://dx.doi.org/10.1109/tasl.2007.901300.

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26

Anderson, M., E. Miguel, and S. Currie. "EP-2068: Adaptive bladder: Are we adapting well?" Radiotherapy and Oncology 127 (April 2018): S1134. http://dx.doi.org/10.1016/s0167-8140(18)32377-6.

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27

Liao, Xiaofei, Kai Chen, and Hai Jin. "AdaptIDC: Adaptive inter-domain communication in virtualized environments." Computers & Electrical Engineering 39, no. 7 (October 2013): 2332–41. http://dx.doi.org/10.1016/j.compeleceng.2012.12.005.

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Sukhinov, A. I., and A. E. Chistyakov. "Adaptive modified alternating-triangular method." Computational Mathematics and Information Technologies 2, no. 1 (2018): 44–59. http://dx.doi.org/10.23947/2587-8999-2018-2-1-44-59.

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29

Sorin-Stefan, Biris I. "Adaptive Tyre for Agricultural Trailer." International Journal of Scientific Research 2, no. 7 (June 1, 2012): 1–3. http://dx.doi.org/10.15373/22778179/july2013/1.

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30

Gdansky, N. I., and D. Y. Altimentova. "Adaptive models of computer training." Contemporary problems of social work 1, no. 2 (June 30, 2015): 73–80. http://dx.doi.org/10.17922/2412-5466-2015-1-2-73-80.

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Jhun, Myoung-Shic, and In-Kyung Choi. "Adaptive Nearest Neighbors for Classification." Korean Journal of Applied Statistics 22, no. 3 (June 30, 2009): 479–88. http://dx.doi.org/10.5351/kjas.2009.22.3.479.

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32

Gunuganti, Anvesh. "NIST AAL Adaptive Security Framework." International Journal of Science and Research (IJSR) 13, no. 5 (May 5, 2024): 202–7. http://dx.doi.org/10.21275/sr24502095948.

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33

Watson, Benjamin, Abhinav Dayal, David Luebke, and Cliff Woolley. "Improving Adaptive Display with Temporally Adaptive Rendering." CyberPsychology & Behavior 7, no. 6 (December 2004): 667–72. http://dx.doi.org/10.1089/cpb.2004.7.667.

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Černý, Jan, and Ilja Stříž. "Adaptive innate immunity or innate adaptive immunity?" Clinical Science 133, no. 14 (July 2019): 1549–65. http://dx.doi.org/10.1042/cs20180548.

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Abstract The innate immunity is frequently accepted as a first line of relatively primitive defense interfering with the pathogen invasion until the mechanisms of ‘privileged’ adaptive immunity with the production of antibodies and activation of cytotoxic lymphocytes ‘steal the show’. Recent advancements on the molecular and cellular levels have shaken the traditional view of adaptive and innate immunity. The innate immune memory or ‘trained immunity’ based on metabolic changes and epigenetic reprogramming is a complementary process insuring adaptation of host defense to previous infections. Innate immune cells are able to recognize large number of pathogen- or danger- associated molecular patterns (PAMPs and DAMPs) to behave in a highly specific manner and regulate adaptive immune responses. Innate lymphoid cells (ILC1, ILC2, ILC3) and NK cells express transcription factors and cytokines related to subsets of T helper cells (Th1, Th2, Th17). On the other hand, T and B lymphocytes exhibit functional properties traditionally attributed to innate immunity such as phagocytosis or production of tissue remodeling growth factors. They are also able to benefit from the information provided by pattern recognition receptors (PRRs), e.g. γδT lymphocytes use T-cell receptor (TCR) in a manner close to PRR recognition. Innate B cells represent another example of limited combinational diversity usage participating in various innate responses. In the view of current knowledge, the traditional black and white classification of immune mechanisms as either innate or an adaptive needs to be adjusted and many shades of gray need to be included.

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35

Pandolfi, L. "Adaptive recursive deconvolution and adaptive noise cancellation." International Journal of Control 80, no. 3 (March 2007): 403–15. http://dx.doi.org/10.1080/00207170601042346.

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Monirabbasi, Salman, and Steve Gibson. "Adaptive control in an adaptive optics experiment." Journal of the Optical Society of America A 27, no. 11 (September 9, 2010): A84. http://dx.doi.org/10.1364/josaa.27.000a84.

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TOMLINSON, IAN. "Adaptive and non-adaptive suicide in aphids." Nature 330, no. 6150 (December 1987): 701. http://dx.doi.org/10.1038/330701a0.

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LATTA, BLAIR. "Adaptive and non-adaptive suicide in aphids." Nature 330, no. 6150 (December 1987): 701. http://dx.doi.org/10.1038/330701b0.

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Brusilovsky, Peter, and Mark T. Maybury. "From adaptive hypermedia to the adaptive web." Communications of the ACM 45, no. 5 (May 2002): 30–33. http://dx.doi.org/10.1145/506218.506239.

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Deng, Wan-Yu, Qing-Hua Zheng, Shiguo Lian, and Lin Chen. "Adaptive personalized recommendation based on adaptive learning." Neurocomputing 74, no. 11 (May 2011): 1848–58. http://dx.doi.org/10.1016/j.neucom.2010.07.034.

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Rao, M. P. R. V., and W. Fiessinger. "New adaptive law for robust adaptive control." Electronics Letters 30, no. 6 (March 17, 1994): 531–32. http://dx.doi.org/10.1049/el:19940319.

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Meng, Zhen, and Weidong Zhou. "Robust adaptive beamforming using iterative adaptive approach." Journal of Electromagnetic Waves and Applications 33, no. 4 (December 21, 2018): 504–19. http://dx.doi.org/10.1080/09205071.2018.1560366.

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Berman, Itay, and Iftach Haitner. "From Non-adaptive to Adaptive Pseudorandom Functions." Journal of Cryptology 28, no. 2 (November 23, 2013): 297–311. http://dx.doi.org/10.1007/s00145-013-9169-2.

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Yamada, Seiji, Ichi-ann Ohsaki, Masatoshi Ikeuchi, and Hiroshi Niki. "Non-adaptive and adaptive SAOR-CG algorithms." Journal of Computational and Applied Mathematics 12-13 (May 1985): 635–50. http://dx.doi.org/10.1016/0377-0427(85)90055-x.

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45

Marino, Riccardo, and Patrizio Tomei. "Adaptive notch filters are local adaptive observers." International Journal of Adaptive Control and Signal Processing 30, no. 1 (June 1, 2015): 128–46. http://dx.doi.org/10.1002/acs.2582.

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46

Barber, V. A. Hayman. "How Adaptive Are You at Adaptive Leadership?" Department Chair 34, no. 2 (September 2023): 16–18. http://dx.doi.org/10.1002/dch.30544.

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鄭淑臻, 鄭淑臻, Yu-Ping Cheng Shu-Chen Cheng, and 黃悅民 Yu-Ping Cheng. "To Implement Computerized Adaptive Testing by Automatically Adjusting Item Difficulty Index on Adaptive English Learning Platform." 網際網路技術學刊 22, no. 7 (December 2021): 1599–607. http://dx.doi.org/10.53106/160792642021122207013.

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48

Zhang, Sheng, and Zhang Lin. "Adaptive‐rational thermal comfort model: Adaptive predicted mean vote with variable adaptive coefficient." Indoor Air 30, no. 5 (March 23, 2020): 1052–62. http://dx.doi.org/10.1111/ina.12665.

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49

Hansen, Thomas Illum, and Stig Toke Gissel. "Mellem design, didaktik og diskurs." Learning Tech, no. 11 (August 16, 2022): 44–72. http://dx.doi.org/10.7146/lt.v7i11.128361.

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I denne artikel præsenteres resultater fra en undersøgelse af det adaptive læremiddel, Rhapsode, til matematik i grundskolen ud fra et tredimensionelt fokus, der omfatter diskurs, didaktik og design. Vores formål med den flerstrengede analysestrategi er dels at sætte (fag)didaktikken i centrum, dvs. hvad vi vil med faget, og hvad den det adaptive design gør ved fagligheden, dels at sætte den adaptive teknologi ind i en større diskursiv kontekst. Dette står i kontrast til det snævre fokus på at udvikle effektive adaptive maskiner, der ellers præger forskning inden for feltet. Resultatet er et skærpet fokus på den dilemmafyldte brug af adaptiv teknologi. Analysen peger på, at der både er behov for a) redesign og udvikling af den didaktiske rammesætning af læremidlets adaptivitet, b) redidaktisering og nyfortolkning af det didaktiske potentiale i praksis samt c) regulering og demokratisk kontrol af de nye forretningsmodeller, der gør data og algoritmer til genstand for forretningsudvikling.

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Hill, J., E. E. Popova, D. A. Ham, M. D. Piggott, and M. Srokosz. "Adapting to life: ocean biogeochemical modelling and adaptive remeshing." Ocean Science 10, no. 3 (May 9, 2014): 323–43. http://dx.doi.org/10.5194/os-10-323-2014.

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Abstract. An outstanding problem in biogeochemical modelling of the ocean is that many of the key processes occur intermittently at small scales, such as the sub-mesoscale, that are not well represented in global ocean models. This is partly due to their failure to resolve sub-mesoscale phenomena, which play a significant role in vertical nutrient supply. Simply increasing the resolution of the models may be an inefficient computational solution to this problem. An approach based on recent advances in adaptive mesh computational techniques may offer an alternative. Here the first steps in such an approach are described, using the example of a simple vertical column (quasi-1-D) ocean biogeochemical model. We present a novel method of simulating ocean biogeochemical behaviour on a vertically adaptive computational mesh, where the mesh changes in response to the biogeochemical and physical state of the system throughout the simulation. We show that the model reproduces the general physical and biological behaviour at three ocean stations (India, Papa and Bermuda) as compared to a high-resolution fixed mesh simulation and to observations. The use of an adaptive mesh does not increase the computational error, but reduces the number of mesh elements by a factor of 2–3. Unlike previous work the adaptivity metric used is flexible and we show that capturing the physical behaviour of the model is paramount to achieving a reasonable solution. Adding biological quantities to the adaptivity metric further refines the solution. We then show the potential of this method in two case studies where we change the adaptivity metric used to determine the varying mesh sizes in order to capture the dynamics of chlorophyll at Bermuda and sinking detritus at Papa. We therefore demonstrate that adaptive meshes may provide a suitable numerical technique for simulating seasonal or transient biogeochemical behaviour at high vertical resolution whilst minimising the number of elements in the mesh. More work is required to move this to fully 3-D simulations.

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