Academic literature on the topic 'Contrôle top-down'
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Journal articles on the topic "Contrôle top-down"
KIMURA, Motohiro, and Yuji TAKEDA. "Top-down Control over the Processing of Task-irrelevant Rule Violation:Evidence from Visual Mismatch Negativity." Japanese Journal of Physiological Psychology and Psychophysiology 33, no. 1 (2015): 19–31. http://dx.doi.org/10.5674/jjppp.1504si.
Full textYoshida, T., S. Ban, T. Takenouchi, et al. "Top-down control of population dynamics of the dominant rotifers in two mesotrophic lakes in Hokkaido, Japan." Fundamental and Applied Limnology 148, no. 4 (2000): 481–98. http://dx.doi.org/10.1127/archiv-hydrobiol/148/2000/481.
Full textKwak, Nam-Su, Choul-Jun Choi, and Jeong-Gi Lee. "A Study on the Shape Control of Multiple Layers for PES Nanofiber Using Electrospinning Method of Top-down Spinning." International Journal of Materials Science and Engineering 7, no. 3 (2019): 81–88. http://dx.doi.org/10.17706/ijmse.2019.7.3.81-88.
Full textChernyak, D. A., and L. W. Stark. "Top-down guided eye movements." IEEE Transactions on Systems, Man and Cybernetics, Part B (Cybernetics) 31, no. 4 (2001): 514–22. http://dx.doi.org/10.1109/3477.938257.
Full textZhu, Jun, Yuanyuan Qiu, Rui Zhang, Jun Huang, and Wenjun Zhang. "Top-Down Saliency Detection via Contextual Pooling." Journal of Signal Processing Systems 74, no. 1 (2013): 33–46. http://dx.doi.org/10.1007/s11265-013-0768-9.
Full textle Roux, J. D., S. Skogestad, and I. K. Craig. "Plant-wide control of grinding mill circuits: Top-down analysis." IFAC-PapersOnLine 49, no. 20 (2016): 72–77. http://dx.doi.org/10.1016/j.ifacol.2016.10.099.
Full textUllman, Jeffrey D., and Allen Van Gelder. "Efficient tests for top-down termination of logical rules." Journal of the ACM 35, no. 2 (1988): 345–73. http://dx.doi.org/10.1145/42282.42285.
Full textZerlin, Benno, Michel T. Ivrlač, Wolfgang Utschick, and Josef A. Nossek. "Joint optimization of radio parameters—A top–down approach." Signal Processing 86, no. 8 (2006): 1773–91. http://dx.doi.org/10.1016/j.sigpro.2005.09.030.
Full textMadhav, Manu S., and Noah J. Cowan. "The Synergy Between Neuroscience and Control Theory: The Nervous System as Inspiration for Hard Control Challenges." Annual Review of Control, Robotics, and Autonomous Systems 3, no. 1 (2020): 243–67. http://dx.doi.org/10.1146/annurev-control-060117-104856.
Full textRokach, L., and O. Maimon. "Top-Down Induction of Decision Trees Classifiers—A Survey." IEEE Transactions on Systems, Man and Cybernetics, Part C (Applications and Reviews) 35, no. 4 (2005): 476–87. http://dx.doi.org/10.1109/tsmcc.2004.843247.
Full textDissertations / Theses on the topic "Contrôle top-down"
Lévesque, Johann. "Évaluation de la qualité des données géospatiales : approche top-down et gestion de la métaqualité." Thesis, Université Laval, 2007. http://www.theses.ulaval.ca/2007/24759/24759.pdf.
Full textWigley, Benjamin Joseph. "Savanna woody plant community and trait responses to bottom-up and top-down controls, with a specific focus on the role of mammalian herbivory." Thesis, Lyon 1, 2013. http://www.theses.fr/2013LYO10133/document.
Full textSavannas are complex ecosystems affected by several bottom-up (e.g. soil nutrient availability and rainfall) and top-down (e.g. fire and herbivory) drivers. However, the relative importance of bottom-up vs. top-down drivers in influencing savanna dynamics is still widely debated. Within the top-down (disturbance) category of drivers, the role of mammal browsers in particular in driving savanna functioning is still not well understood. Two approaches were adopted to determine the role of disturbance in savannas. Firstly, by using a comparative approach, I attempted to address the so-called ‘savanna problem’ by investigating how savanna woody plant community compositions and key plant traits relating to the leaves, stems, architecture, and defence are influenced by soil nutrient status, rainfall, fire and browsing. Sixteen sites were selected along gradients of these four drivers from savanna parks throughout South Africa and Zimbabwe. The dominant woody species (species that accounted for >80% of standing biomass) at each site were identified and sampled for the key leaf and stem traits relating to plant functioning, palatability, architecture, physical and chemical defences. Measurements were undertaken for each species in order to determine both meso-browser and mega browser impact. Transects were undertaken in order to determine the relative abundance and the effects of fire on each species at each site. Due to the current lack of standardized soil sampling protocols in the ecological literature, and uncertainty around the definition of what denotes a fertile or infertile soil, I propose a number of standardized protocols and sampled according to these established protocols in order to accurately determine the soil nutrient status at each site. Following this, the relationships between climatic variables and soil nutrients with both species means and community weighted means for eight key leaf traits were explored. Although some significant relationships were found between savanna leaf traits of woody plants, climate, soil nutrients and their interactions, these tended to be weaker than those found in meta-analyses. These broad-scale studies usually include sites from many biome types, many of which are from temperate regions where inherent levels of disturbance are typically much lower than in African savannas. The high levels of disturbance typically found in African savannas are thought to partially account for the high within site variability found in leaf traits and the weak relationships found between leaf traits, soil nutrients and rainfall. To assess the importance of resources vs. disturbance in savannas functioning, the effects of soil nutrients, rainfall, fire and both meso-browser and mega-browser impact on twenty savanna woody plant traits relating to plant palatability, chemical and structural defences were explored. Structural defences were found to be more strongly correlated with soil characteristics than chemical defences, while browser impact was found to be strongly correlated with structural defences but not with chemical defences. Actual browser utilisation tended to be more predictable for meso-browsers than mega-browsers. Secondly using an experimental approach, two sets of herbivore exclosures were utilized to directly test how mammal browsers influenced woody species distributions, abundance, population structure and plant traits relating to palatability and defence. The effects of three longterm herbivore exclosures in the Kruger National Park on savanna woody plant community compositions, population demographics and densities were determined. Browsers were found to have significant impacts on species distributions, densities and population structures by actively selecting for species with favourable traits, particularly higher leaf N. An interaction between browsers and fire which limited the recruitment of seedlings and saplings into larger size classes was also demonstrated… [etc]
Foulquier, Arnaud. "Écologie fonctionnelle dans les nappes phréatiques : liens entre flux de matière organique, activité et diversité biologiques." Phd thesis, Université Claude Bernard - Lyon I, 2009. http://tel.archives-ouvertes.fr/tel-00587833.
Full textQuevreux, Pierre. "Conséquences des interactions entre voies vertes et brunes sur la stabilité des réseaux trophiques." Thesis, Sorbonne Paris Cité, 2018. http://www.theses.fr/2018USPCC142/document.
Full textThe aim of this thesis is to understand the implications of the relationships between green and brown food webs on the stability and functioning of food webs. The interactions between these two food webs, based respectively on photosynthesis and the consumption of dead organic matter, are essential for the functioning of ecosystems: one produces organic matter from mineral nutrients and the other one recycles the nutrients contained in dead organic matter. I address this by using two theoretical models and an experimental study. My first model shows that the feedback loop induced by nutrient cycling in an exclusively green food web has a stabilising effect on species dynamics in a food chain and an enrichment effect due to the excretion of nutrients that are available again for primary producers. However, only the enrichment effect, which is destabilising, persists in a food web model. My second model integrates a true brown food web and shows that this food web is more destabilised than the green food web when nutrient availability increases. This effect is amplified if most of nutrients are excreted as detritus that destabilises the brown food web through an enrichment effect. This model also shows that consumer survival is improved when they can consume prey from both green and brown food webs. My experiment in aquatic mesocosms enabled me to study the cascading effects between green and brown food webs thanks to light filtration (direct manipulation of the green food web), the addition of dissolved organic carbon (direct manipulation of the brown food web) and the addition of fish (manipulation of food web structure). We did not observe any cascading effects of the green food web on the brown food web and vice versa, probably because of a too low addition of dissolved carbon. The fish had a strong effect on both green and brown food webs with positive effects on phytoplankton when light is filtered because of the decreased nutrient limitation thanks to fish excretion, an increased concentration of dissolved organic carbon and a change in the metabolic profile of the benthic bacterial community. An additional model shows that the plasticity of metabolic rate, that is the ability of organisms to increase or decrease their metabolic rate depending on resource availability in order to optimise their energy budget, stabilises species dynamics in a food chain model by decreasing biomass time variability. Such a stabilising effect results in increase of species persistence in a complex food web model. This thesis is an additional step to better link community ecology to functional ecology, thus improving our understanding of the consequences on food web stability of major ecosystem processes such as the nutrient cycling and the effects of food web structure on ecosystem functioning
Skogsholm, Lauren. "Distractibility, Impulsivity, and Activation of Top-down Control Resources." Thesis, Boston College, 2011. http://hdl.handle.net/2345/1977.
Full textThesis advisor: Katherine Mickley Steinmetz
Distractibility and impulsivity have long been thought of as two separate psychological processes; however, there is currently evidence that suggests otherwise. The aim of this study was to gain a better understanding on the behavioral level of the interaction between these two traits. I proposed a model in which some individuals have a higher than average threshold for activation of the top-down cognitive control resources that are important for directing and maintaining attention as well as for regulating impulsive behaviors. To test the strength of this model I used an experimental paradigm that combined two different types of tasks—a spatial working memory task and a delay discounting of a primary reward (juice) task. Participants were administered the Conners’ Adult ADHD Rating Scale in order to be classified in terms of their trait distractibility and trait impulsivity subscale scores. The results suggest that there is indeed an association between the traits of distractibility and impulsivity, and that they may be linked by a common mechanism involving a variable threshold of activation of top-down control resources to regulate these behaviors
Thesis (BS) — Boston College, 2011
Submitted to: Boston College. College of Arts and Sciences
Discipline: College Honors Program
Discipline: Psychology
Burkholder, Derek A. "Top Down Control in a Relatively Pristine Seagrass Ecosystem." FIU Digital Commons, 2012. http://digitalcommons.fiu.edu/etd/799.
Full textBest, Maisy Jane. "Top-down and bottom-up influences on response inhibition." Thesis, University of Exeter, 2016. http://hdl.handle.net/10871/24650.
Full textNarouei, Masoud. "A Top-Down Policy Engineering Framework for Attribute-Based Access Control." Thesis, University of North Texas, 2020. https://digital.library.unt.edu/ark:/67531/metadc1703379/.
Full textMa, Chuan. "A computational approach to top-down hierarchical supervisory control of DES." Thesis, National Library of Canada = Bibliothèque nationale du Canada, 1999. http://www.collectionscanada.ca/obj/s4/f2/dsk1/tape8/PQDD_0004/MQ45611.pdf.
Full textClarke, Stephen E. "Top-down control of sensory focus in bursty pyramidal cell populations." Thesis, Université d'Ottawa / University of Ottawa, 2017. http://hdl.handle.net/10393/36826.
Full textBooks on the topic "Contrôle top-down"
Schwartz, R. Malcolm. A top-down approach to risk management and internal control: Relying on ongoing monitoring to test controls performance to reduce the scope of separate testing. Financial Executives Research Foundation, 2006.
Honig, Dan. Introduction. Oxford University Press, 2018. http://dx.doi.org/10.1093/oso/9780190672454.003.0001.
Full textLippmann, Morton, and Richard B. Schlesinger. Risk Management. Oxford University Press, 2017. http://dx.doi.org/10.1093/med/9780190688622.003.0010.
Full textSilliman, Brian R., Brent B. Hughes, Y. Stacy Zhang, and Qiang He. Business as usual leads to underperformance in coastal restoration. Oxford University Press, 2017. http://dx.doi.org/10.1093/oso/9780198808978.003.0027.
Full textHonig, Dan. When to Let Go. Oxford University Press, 2018. http://dx.doi.org/10.1093/oso/9780190672454.003.0002.
Full textMiller, Earl K., and Timothy J. Buschman. Neural Mechanisms for the Executive Control of Attention. Edited by Anna C. (Kia) Nobre and Sabine Kastner. Oxford University Press, 2014. http://dx.doi.org/10.1093/oxfordhb/9780199675111.013.017.
Full textNigg, Joel T. Self-Regulation, Behavioral Inhibition, and Risk for Alcoholism and Substance Use Disorders. Oxford University Press, 2018. http://dx.doi.org/10.1093/oso/9780190676001.003.0009.
Full textNobre, Anna C. (Kia), and M.-Marsel Mesulam. Large-scale Networks for Attentional Biases. Edited by Anna C. (Kia) Nobre and Sabine Kastner. Oxford University Press, 2014. http://dx.doi.org/10.1093/oxfordhb/9780199675111.013.035.
Full textButz, Martin V., and Esther F. Kutter. Attention. Oxford University Press, 2017. http://dx.doi.org/10.1093/acprof:oso/9780198739692.003.0011.
Full textKirchman, David L. The ecology of viruses. Oxford University Press, 2018. http://dx.doi.org/10.1093/oso/9780198789406.003.0010.
Full textBook chapters on the topic "Contrôle top-down"
Frith, Chris D. "Free Will Top-Down Control in the Brain." In Understanding Complex Systems. Springer Berlin Heidelberg, 2009. http://dx.doi.org/10.1007/978-3-642-03205-9_12.
Full textPuaschunder, Julia M. "Top-Down Climate Control for Global Environmental Stability." In Climate Action. Springer International Publishing, 2021. http://dx.doi.org/10.1007/978-3-319-71063-1_127-1.
Full textLin, Alex Tong, Guido Montúfar, and Stanley J. Osher. "A Top-Down Approach to Attain Decentralized Multi-agents." In Handbook of Reinforcement Learning and Control. Springer International Publishing, 2021. http://dx.doi.org/10.1007/978-3-030-60990-0_14.
Full textTeichberg, Mirta, Paulina Martinetto, and Sophia E. Fox. "Bottom-Up Versus Top-Down Control of Macroalgal Blooms." In Ecological Studies. Springer Berlin Heidelberg, 2012. http://dx.doi.org/10.1007/978-3-642-28451-9_21.
Full textMishra, Ramesh Kumar, and Niharika Singh. "Chapter 17. Top down influence on executive control in bilinguals." In Cognitive Control and Consequences of Multilingualism. John Benjamins Publishing Company, 2016. http://dx.doi.org/10.1075/bpa.2.18mis.
Full textTrappenberg, Thomas, Pitoyo Hartono, and Douglas Rasmusson. "Top-Down Control of Learning in Biological Self-Organizing Maps." In Advances in Self-Organizing Maps. Springer Berlin Heidelberg, 2009. http://dx.doi.org/10.1007/978-3-642-02397-2_36.
Full textBrown, Guy C. "Phenomenological Kinetics and the Top-Down Approach to Metabolic Control Analysis." In Modern Trends in Biothermokinetics. Springer US, 1993. http://dx.doi.org/10.1007/978-1-4615-2962-0_36.
Full textLee, Su-In, and Soo-Young Lee. "Top-Down Attention Control at Feature Space for Robust Pattern Recognition." In Biologically Motivated Computer Vision. Springer Berlin Heidelberg, 2000. http://dx.doi.org/10.1007/3-540-45482-9_13.
Full textGlibert, Patricia M. "Interactions of top-down and bottom-up control in planktonic nitrogen cycling." In Eutrophication in Planktonic Ecosystems: Food Web Dynamics and Elemental Cycling. Springer Netherlands, 1998. http://dx.doi.org/10.1007/978-94-017-1493-8_1.
Full textVargas, Natividad, Juan Luis del Valle-Padilla, Juan P. Jimenez, and Félix Ramos. "A Model of Top-Down Attentional Control for Visual Search Based on Neurosciences." In Brain-Inspired Cognitive Architectures for Artificial Intelligence: BICA*AI 2020. Springer International Publishing, 2020. http://dx.doi.org/10.1007/978-3-030-65596-9_65.
Full textConference papers on the topic "Contrôle top-down"
Khor, Susan. "On solving hierarchical problems with top down control." In the 2007 GECCO conference companion. ACM Press, 2007. http://dx.doi.org/10.1145/1274000.1274023.
Full textSkelton, James. "Top-down controls of the ambrosia beetle symbiont fidelity." In 2016 International Congress of Entomology. Entomological Society of America, 2016. http://dx.doi.org/10.1603/ice.2016.92485.
Full textDaofei Li, Bin Li, Fan Yu, Shangqian Du, and Yongchao Zhang. "A top-down integration approach to vehicle stability control." In 2007 IEEE International Conference on Vehicular Electronics and Safety (ICVES 2007). IEEE, 2007. http://dx.doi.org/10.1109/icves.2007.4456383.
Full textLevi, Hila, and Shimon Ullman. "Multi-Task Learning By A Top-Down Control Network." In 2021 IEEE International Conference on Image Processing (ICIP). IEEE, 2021. http://dx.doi.org/10.1109/icip42928.2021.9506501.
Full textMallik, Sruti, and ShiNung Ching. "Top-down modeling of distributed neural dynamics for motion control." In 2021 American Control Conference (ACC). IEEE, 2021. http://dx.doi.org/10.23919/acc50511.2021.9482782.
Full textLin, Liyong, Rong Su, and Alin Stefanescu. "Remarks on the difficulty of top-down supervisor synthesis." In 2012 12th International Conference on Control Automation Robotics & Vision (ICARCV 2012). IEEE, 2012. http://dx.doi.org/10.1109/icarcv.2012.6485170.
Full textWhite, Ralph N., and Edward O. Reese. "Optical telescope optimization through control system/mount top-down design." In Astronomical Telescopes and Instrumentation, edited by Thomas A. Sebring and Torben Andersen. SPIE, 2000. http://dx.doi.org/10.1117/12.393920.
Full textPrice, Jeffery R., Philip R. Bingham, Kenneth W. Tobin, Jr., and Thomas P. Karnowski. "Semiconductor sidewall shape estimation using top-down CD-SEM image retrieval." In Quality Control by Artificial Vision, edited by Kenneth W. Tobin, Jr. and Fabrice Meriaudeau. SPIE, 2003. http://dx.doi.org/10.1117/12.514963.
Full textAynaud, Claude, Coralie Bernay-Angeletti, Roland Chapuis, Romuald Auirere, and Christophe Debain. "Vehicle localization by using a multi-modality top down approach." In 2014 13th International Conference on Control Automation Robotics & Vision (ICARCV). IEEE, 2014. http://dx.doi.org/10.1109/icarcv.2014.7064523.
Full textKomenda, Jan, and Tomas Masopust. "Decentralized supervisory control with communicating supervisors based on top-down coordination control." In 2014 IEEE 53rd Annual Conference on Decision and Control (CDC). IEEE, 2014. http://dx.doi.org/10.1109/cdc.2014.7040194.
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