Littérature scientifique sur le sujet « Multisensory method »
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Articles de revues sur le sujet "Multisensory method"
Lin, Tsun-Kuo. « PCA/SVM-Based Method for Pattern Detection in a Multisensor System ». Mathematical Problems in Engineering 2018 (2018) : 1–11. http://dx.doi.org/10.1155/2018/6486345.
Texte intégralSemenova, V. A., et E. M. Petrenko. « Identification and Comparative Analysis of Alkaloids by Inversion Voltammetry Method ». Herald of the Bauman Moscow State Technical University. Series Natural Sciences, no 6 (87) (décembre 2019) : 113–21. http://dx.doi.org/10.18698/1812-3368-2019-6-113-121.
Texte intégralSyahputri, Diani. « The Effect of Multisensory Teaching Method on The Students’ Reading Achievement ». Budapest International Research and Critics in Linguistics and Education (BirLE) Journal 2, no 1 (26 février 2019) : 124–31. http://dx.doi.org/10.33258/birle.v2i1.192.
Texte intégralKrauce, Antra. « THE USE OF THE MULTISENSORY METHOD NUMICON IN LEARNING BASIC MATHEMATICAL SKILLS BY STUDENTS WITH MODERATE MENTAL DISABILITIES ». Education Reform : Education Content Research and Implementation Problems 2 (31 décembre 2019) : 72. http://dx.doi.org/10.17770/er2019.2.4232.
Texte intégralAl Adzillina, Nailan, et Henny Uswatun Hasanah. « The Impact of Multisensory Method on Students’ Memorizing Vocabulary at Halimah Kindergarten Prenduan Sumenep ». PANYONARA : Journal of English Education 3, no 2 (30 septembre 2021) : 155–66. http://dx.doi.org/10.19105/panyonara.v3i2.4317.
Texte intégralKarimi Thani, Parviz, Nasim Koohzad et Farideh Ahmadi. « Comparison of the Effectiveness of Fernald’s Sensory Method and Educational Games on Writing Disorder in Elementary School Students ». Advances in Bioscience and Clinical Medicine 10, no 1 (31 janvier 2022) : 1–6. http://dx.doi.org/10.7575/aiac.abcmed.v.10n.1p.1.
Texte intégralDeroy, Ophelia, Yi-Chuan Chen et Charles Spence. « Multisensory constraints on awareness ». Philosophical Transactions of the Royal Society B : Biological Sciences 369, no 1641 (5 mai 2014) : 20130207. http://dx.doi.org/10.1098/rstb.2013.0207.
Texte intégralBasam, Fajri, et Sulfasyah Sulfasyah. « METODE PEMBELAJARAN MULTISENSORI VAKT SEBAGAI UPAYA MENINGKATKAN KEMAMPUAN MEMBACA LANCAR SISWA KELAS II ». JRPD (Jurnal Riset Pendidikan Dasar) 1, no 1 (6 avril 2018) : 18–24. http://dx.doi.org/10.26618/jrpd.v1i1.1235.
Texte intégralZulhendri, Zulhendri, et Jhoni Warmansyah. « The effectiveness of the Multisensory Method on Early Reading Ability in 6-7 Years Old Children ». Jurnal Obsesi : Jurnal Pendidikan Anak Usia Dini 5, no 1 (4 juin 2020) : 257. http://dx.doi.org/10.31004/obsesi.v5i1.568.
Texte intégralUtepov, Ye B. « ASSEMBLING A MULTISENSORY DEVICE FOR MONITORING AND ASSESSING CONCRETE CURING CONDITIONS ». Eurasian Physical Technical Journal 19, no 1 (39) (28 mars 2022) : 90–98. http://dx.doi.org/10.31489/2022no1/90-98.
Texte intégralThèses sur le sujet "Multisensory method"
Dalla, Libera Sara <1985>. « Dyslexia and learning English as a foreign language : the phonological/orthographic teaching through the multisensory method ». Master's Degree Thesis, Università Ca' Foscari Venezia, 2016. http://hdl.handle.net/10579/7457.
Texte intégralPrajitno, Prawito. « Neuro-fuzzy methods in multisensor data fusion ». Thesis, University of Sheffield, 2002. http://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.251258.
Texte intégralPawlak, Robert James. « Multisensor track initiation method that addresses the missing measurement problem ». Diss., Virginia Tech, 1992. http://hdl.handle.net/10919/38631.
Texte intégralKlaus, Ferdinand. « Einführung in Techniken und Methoden der Multisensor-Datenfusion ». [S.l.] : [s.n.], 2004. http://deposit.ddb.de/cgi-bin/dokserv?idn=971151989.
Texte intégralBorkar, Milind. « A distributed Monte Carlo method for initializing state vector distributions in heterogeneous smart sensor networks ». Diss., Georgia Institute of Technology, 2008. http://hdl.handle.net/1853/22680.
Texte intégralCrow, Mason W. « Multiple sensor credit apportionment ». Thesis, Monterey, Calif. : Springfield, Va. : Naval Postgraduate School ; Available from National Technical Information Service, 2002. http://library.nps.navy.mil/uhtbin/hyperion-image/02Jun%5FCrow.pdf.
Texte intégralMaurer, Andreas. « Methods for Multisensory Detection of Light Phenomena on the Moon as a Payload Concept for a Nanosatellite Mission ». Thesis, Luleå tekniska universitet, Rymdteknik, 2020. http://urn.kb.se/resolve?urn=urn:nbn:se:ltu:diva-80785.
Texte intégralCazenave, Quitterie. « Development and evaluation of multisensor methods for EarthCare mission based on A-Train and airborne measurements ». Thesis, Université Paris-Saclay (ComUE), 2019. http://www.theses.fr/2019SACLV020/document.
Texte intégralThe impact of ice clouds on the water cycle and radiative budget is still uncertain due to the complexity of cloud processes that makes it difficult to acquire adequate observations of ice cloud properties and parameterize them into General Circulation Models. Passive and active remote sensing instruments, radiometers, radars and lidars, are commonly used to study ice clouds. Inferring cloud microphysical properties (extinction, ice water content, effective radius, ...) can be done from one instrument only, or from the synergy of several. The interest of using instrumental synergies to retrieve cloud properties is that it can reduce the uncertainties due to the shortcomings of the different instruments taken separately. The A-Train constellation of satellites has considerably improved our knowledge of clouds. Since 2006, the 532nm backscattering lidar CALIOP on board the satellite CALIPSO and the 94GHz cloud radar CPR on board the satellite CloudSat have acquired cloud vertical profiles globally and many lidar-radar synergetic methods have been adapted to CloudSat and CALIPSO data. In 2021 will be launched a new satellite, EarthCARE, boarding state of the art remote sensing instrumentation, in particular ATLID, a High Spectral Resolution Lidar (HSRL) at 355nm and a Doppler cloud radar at 94 GHz. The main mission of this satellite is to quantify interactions between clouds, aerosols and the Earth's radiation budget in order to improve weather prediction and climate models. Thanks to its advanced instrumentation mounted on a single platform, this new mission is expected to provide unprecedented observations of clouds from space. However, to do so, the synergistic algorithms that were developed for A-Train measurements have to be adapted to this new instrumental configuration. During my PhD, I focused on the Varcloud algorithm that was developed in 2007 by Delanoë and Hogan, based on a variational technique. The first part of the work consisted in adapting some parameters of the microphysical model of the algorithm to recent studies of a large dataset of in-situ measurements. In particular, the questions of a parameterization of the lidar extinction-to-backscatter ratio and the choice of the mass-size relationship for ice crystals were addressed. The second part of my work consisted in adapting the Varcloud retrieval algorithm to airborne platforms. Airborne platforms are ideal to prepare and validate space missions, allowing for direct underpasses of spaceborne instruments. Moreover, German and French aircraft, respectively HALO and French Falcon 20 have very complementary payloads and are perfectly designed for the preparation, the calibration and the validation of EarthCare. Both aircraft board a high spectral resolution lidar (355 nm on the French Falcon and 532 nm on the HALO) and a Doppler radar at 36 GHz (HALO) and 95 GHz (Falcon). In fall 2016 a field campaign related to the NAWDEX project took place in Iceland, Keflavik with both aircraft involved. The measurements collected during this campaign provide an interesting dataset to characterize cloud microphysics and dynamics in the North Atlantic, which are of high interest regarding the Cloudsat-CALIPSO and EarthCARE missions. In addition, a series of common legs with the same cloud scene observed by both platforms were performed, providing data to study the influence of the instrumental configuration on the retrieved ice cloud properties
Paris, Claudia. « Novel Methods based on the Fusion of Multisensor Remote Sensing Data for Accurate Forest Parameter Estimation ». Doctoral thesis, Università degli studi di Trento, 2016. https://hdl.handle.net/11572/367897.
Texte intégralWatanabe, Emerson Ferrell. « A Quasi-Experimental Study of the Effect of Experience Staging Techniques on Engagement ». BYU ScholarsArchive, 2019. https://scholarsarchive.byu.edu/etd/7555.
Texte intégralLivres sur le sujet "Multisensory method"
Schupack, Helaine. Reading, writing and spelling : The multisensory structured language approach. 2e éd. Baltimore, Md : International Dyslexia Association, 2001.
Trouver le texte intégral1958-, Franco Lynda, dir. Language first ! : A multisensory program for English language development : Travel. Emeryville, CA : LeapFrog Schoolhouse, 2002.
Trouver le texte intégralDuBard, Etoile. Teaching language-deficient children : Theory and application of the association method for multisensory teaching. Cambridge, Mass : Educators Pub. Service, 1994.
Trouver le texte intégralRubtsov, Nickolai, Mikhail Alymov, Alexander Kalinin, Alexey Vinogradov, Alexey Rodionov et Kirill Troshin. Remote studies of combustion and explosion processes based on optoelectronic methods. au : AUS PUBLISHERS, 2022. http://dx.doi.org/10.26526/monography_62876066a124d8.04785158.
Texte intégralB, Sridhar, et Ames Research Center, dir. A parallel implementation of a multisensor feature-based range-estimation method. Moffett Field, Calif : National Aeronautics and Space Administration, Ames Research Center, 1993.
Trouver le texte intégralB, Sridhar, et Ames Research Center, dir. A parallel implementation of a multisensor feature-based range-estimation method. Moffett Field, Calif : National Aeronautics and Space Administration, Ames Research Center, 1993.
Trouver le texte intégralNetworked multisensor decision and estimation fusion : Based on advanced mathematical methods. Boca Raton, FL : Taylor & Francis, 2012.
Trouver le texte intégral1954-, Docampo D., Figueiras-Vidal A. R et Pérez-González F. 1967-, dir. Intelligent methods in signal processing and communications. Boston : Birkhäuser, 1997.
Trouver le texte intégralStone, Celia. Reading Success 4 : A Multisensory Reading Intervention Program. LDA, 2001.
Trouver le texte intégralNorthrup, Peggy S. The Literacy Link : A Multisensory Approach to Sound-Symbol Connections. Thinking Publications, 2002.
Trouver le texte intégralChapitres de livres sur le sujet "Multisensory method"
Rubtsov, Nickolai, Mikhail Alymov, Alexander Kalinin, Alexey Vinogradov, Alexey Rodionov et Kirill Troshin. « Investigation of the instabilities arising from the hydrogen and hydrocarbon flames propagation by the method of high-speed filming ». Dans Remote studies of combustion and explosion processes based on optoelectronic methods, 46–102. au : AUS PUBLISHERS, 2022. http://dx.doi.org/10.26526/chapter_62876066b8c340.88097326.
Texte intégralGanis, Giorgio, et Haline E. Schendan. « Cognitive Neuroscience of Mental Imagery : Methods and Paradigms ». Dans Multisensory Imagery, 283–98. New York, NY : Springer New York, 2012. http://dx.doi.org/10.1007/978-1-4614-5879-1_15.
Texte intégralRubtsov, Nickolai, Mikhail Alymov, Alexander Kalinin, Alexey Vinogradov, Alexey Rodionov et Kirill Troshin. « Methods and means of remote sensing in the optical range ». Dans Remote studies of combustion and explosion processes based on optoelectronic methods, 18–28. au : AUS PUBLISHERS, 2022. http://dx.doi.org/10.26526/chapter_62876066b31e97.40925202.
Texte intégralRubtsov, Nickolai, Mikhail Alymov, Alexander Kalinin, Alexey Vinogradov, Alexey Rodionov et Kirill Troshin. « Optoelectronic devices and methods for studying combustion and explosion processes ». Dans Remote studies of combustion and explosion processes based on optoelectronic methods, 29–45. au : AUS PUBLISHERS, 2022. http://dx.doi.org/10.26526/chapter_62876066b5f307.71425279.
Texte intégralBloch, I. « Fusion of Information under Imprecision and Uncertainty, Numerical Methods, and Image Information Fusion ». Dans Multisensor Fusion, 267–93. Dordrecht : Springer Netherlands, 2002. http://dx.doi.org/10.1007/978-94-010-0556-2_11.
Texte intégralHolena, M. « Statistical, Logic Based, and Neural Network Based Methods for Mining Rules from Data ». Dans Multisensor Fusion, 511–32. Dordrecht : Springer Netherlands, 2002. http://dx.doi.org/10.1007/978-94-010-0556-2_23.
Texte intégralRubtsov, Nickolai, Mikhail Alymov, Alexander Kalinin, Alexey Vinogradov, Alexey Rodionov et Kirill Troshin. « The use of high-speed optical multidimensional technique to determine the characteristics of ignition and combustion of 40% H2 - air mix in the presence of platinum metal ». Dans Remote studies of combustion and explosion processes based on optoelectronic methods, 126–51. au : AUS PUBLISHERS, 2022. http://dx.doi.org/10.26526/chapter_62876066bef2a8.05945792.
Texte intégralRubtsov, Nickolai, Mikhail Alymov, Alexander Kalinin, Alexey Vinogradov, Alexey Rodionov et Kirill Troshin. « Study of the combustion of hydrogen-air and hydrogen-hydrocarbon (C1- C6) -air mixtures over the surface of palladium metal with the combined use of a hyperspectral sensor and high-speed color filming ». Dans Remote studies of combustion and explosion processes based on optoelectronic methods, 202–36. au : AUS PUBLISHERS, 2022. http://dx.doi.org/10.26526/chapter_62876066c51665.20097229.
Texte intégralRubtsov, Nickolai, Mikhail Alymov, Alexander Kalinin, Alexey Vinogradov, Alexey Rodionov et Kirill Troshin. « Detecting the regularities of propagation of an unstable flame front using optical 4D spectroscopy and color high-speed filming ». Dans Remote studies of combustion and explosion processes based on optoelectronic methods, 103–25. au : AUS PUBLISHERS, 2022. http://dx.doi.org/10.26526/chapter_62876066bbdb05.08303225.
Texte intégralRubtsov, Nickolai, Mikhail Alymov, Alexander Kalinin, Alexey Vinogradov, Alexey Rodionov et Kirill Troshin. « Determination of the features of combustion of nanopowders and their compacted samples by the methods of visible and infrared filming ». Dans Remote studies of combustion and explosion processes based on optoelectronic methods, 237–61. au : AUS PUBLISHERS, 2022. http://dx.doi.org/10.26526/chapter_62876066c82414.05714648.
Texte intégralActes de conférences sur le sujet "Multisensory method"
Oktafianto, Kurnia, Siti Masitoh et Hendratno Hendratno. « The Effect of Multisensory Method on Children Language Development ». Dans Proceedings of the 2nd International Conference on Education Innovation (ICEI 2018). Paris, France : Atlantis Press, 2018. http://dx.doi.org/10.2991/icei-18.2018.61.
Texte intégralShtun, Sergei, Alexander Senkov, Oleg Abramenko, Mickhail Rakitin, Vener Nagimov, Alexander Trusov et Alexander Frolov. « Sustained Annulus Pressure Diagnostics in Offshore Wells by Multisensory Spectral Acoustics ». Dans SPE Russian Petroleum Technology Conference. SPE, 2021. http://dx.doi.org/10.2118/206629-ms.
Texte intégralLi, Hongliang, Zhiwei Zhong, Weiwei Kong et Daibing Zhang. « A fast calibration method for autonomous landing of UAV with ground-based multisensory fusion system ». Dans 2015 IEEE International Conference on Information and Automation (ICIA). IEEE, 2015. http://dx.doi.org/10.1109/icinfa.2015.7279815.
Texte intégralBordegoni, Monica, Marina Carulli et Elena Spadoni. « Multisensory VR for Delivering Training Content to Machinery Operators ». Dans ASME 2021 International Design Engineering Technical Conferences and Computers and Information in Engineering Conference. American Society of Mechanical Engineers, 2021. http://dx.doi.org/10.1115/detc2021-69974.
Texte intégralJia, Dawei, Asim Bhatti et Saeid Nahavandi. « User-Centered Design and Evaluation of an Interactive Visual-Haptic-Auditory Interface : A User Study on Assembly ». Dans ASME 2011 World Conference on Innovative Virtual Reality. ASMEDC, 2011. http://dx.doi.org/10.1115/winvr2011-5562.
Texte intégralOsinski, Dominik, Patrycja Bizon, Helene Midtfjord, Michał Wierzchon et Dag Roar Hjelme. « Designing Auditory Color Space for Color Sonification Systems ». Dans ICAD 2019 : The 25th International Conference on Auditory Display. Newcastle upon Tyne, United Kingdom : Department of Computer and Information Sciences, Northumbria University, 2019. http://dx.doi.org/10.21785/icad2019.076.
Texte intégralAlirezaee, Parisa, Roger Girgis, TaeYong Kim, Joseph J. Schlesinger et Jeremy R. Cooperstock. « Did You Feel That ? Developing Novel Multimodal Alarms for High Consequence Clinical Environments ». Dans The 23rd International Conference on Auditory Display. Arlington, Virginia : The International Community for Auditory Display, 2017. http://dx.doi.org/10.21785/icad2017.066.
Texte intégralWei Xiong, Jing-Wei Zhang, You He et Zhen-Yu Song. « A New Multisensor Particle Filter Method ». Dans Proceedings of 2005 International Conference on Machine Learning and Cybernetics. IEEE, 2005. http://dx.doi.org/10.1109/icmlc.2005.1527017.
Texte intégralRapo, Mark, Chong Whang et Philemon Chan. « Blast Event Recognition Method for Multisensor Data ». Dans ASME 2012 International Mechanical Engineering Congress and Exposition. American Society of Mechanical Engineers, 2012. http://dx.doi.org/10.1115/imece2012-88936.
Texte intégralHenderson, Thomas C., Gwen Knight et Edward Grant. « Multisensor methods to estimate thermal diffusivity ». Dans 2012 IEEE International Conference on Multisensor Fusion and Integration for Intelligent Systems (MFI 2012). IEEE, 2012. http://dx.doi.org/10.1109/mfi.2012.6343037.
Texte intégralRapports d'organisations sur le sujet "Multisensory method"
Butler, Dwain K., Ernesto R. Cespedes, Cary B. Cox et Paul J. Wolfe. Multisensor Methods for Buried Unexploded Ordnance Deteciton, Discrimination, and Identification. Fort Belvoir, VA : Defense Technical Information Center, septembre 1998. http://dx.doi.org/10.21236/ada354124.
Texte intégralPawlak, Robert J., et Ron A. Stapleton. Nonparametric Multisensor Track Initiation Method for Nonuniform Nonstationary Environments Part II : A Comparison of M/N and ANMSTI Track Initiation Techniques Applied to the Wallops Island Multisensor Integration Experiment. Fort Belvoir, VA : Defense Technical Information Center, juillet 1995. http://dx.doi.org/10.21236/ada309319.
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