Literatura académica sobre el tema "NON-LINEAR BLOCKS"
Crea una cita precisa en los estilos APA, MLA, Chicago, Harvard y otros
Consulte las listas temáticas de artículos, libros, tesis, actas de conferencias y otras fuentes académicas sobre el tema "NON-LINEAR BLOCKS".
Junto a cada fuente en la lista de referencias hay un botón "Agregar a la bibliografía". Pulsa este botón, y generaremos automáticamente la referencia bibliográfica para la obra elegida en el estilo de cita que necesites: APA, MLA, Harvard, Vancouver, Chicago, etc.
También puede descargar el texto completo de la publicación académica en formato pdf y leer en línea su resumen siempre que esté disponible en los metadatos.
Artículos de revistas sobre el tema "NON-LINEAR BLOCKS"
Кuznetsov, О. О., Yu І. Gorbenko, І. М. Bilozertsev, А. V. Аndrushkevych y О. P. Narizhnyi. "ALGEBRAIC IMMUNITY OF NON-LINEAR BLOCKS OF SYMMETRIC CIPHERS". Telecommunications and Radio Engineering 77, n.º 4 (2018): 309–25. http://dx.doi.org/10.1615/telecomradeng.v77.i4.30.
Texto completoArtyushkov, E. V. "Accelerated non-linear destruction of the earth's crust". Discrete Dynamics in Nature and Society 6, n.º 4 (2001): 281–90. http://dx.doi.org/10.1155/s1026022601000322.
Texto completoArtyushenko, V. M. y V. I. Volovach. "The synthesis of the servo gauges are implemented using blocks of nonlinear transformation with quadrature generators". Informacionno-technologicheskij vestnik 14, n.º 4 (30 de diciembre de 2017): 16–29. http://dx.doi.org/10.21499/2409-1650-2017-4-16-29.
Texto completoR, Prithiviraj y Selvakumar J. "Non-Linear Mathematical Modelling for Phase Locked Loop". International Journal of Engineering & Technology 7, n.º 4.10 (2 de octubre de 2018): 81. http://dx.doi.org/10.14419/ijet.v7i4.10.20710.
Texto completoCheng, C. C., G. L. Su y C. W. Chien. "Block backstepping controllers design for a class of perturbed non-linear systems with m blocks". IET Control Theory & Applications 6, n.º 13 (6 de septiembre de 2012): 2021–30. http://dx.doi.org/10.1049/iet-cta.2011.0431.
Texto completoCirera, Jordi, Yuan Jiang, Lei Qin, Yan-Zhen Zheng, Guanghua Li, Gang Wu y Eliseo Ruiz. "Ferromagnetism in polynuclear systems based on non-linear [MnII2MnIII] building blocks". Inorganic Chemistry Frontiers 3, n.º 10 (2016): 1272–79. http://dx.doi.org/10.1039/c6qi00189k.
Texto completoTurner, W. "Equivalent Blocks of Finite General Linear Groups in Non-describing Characteristic". Journal of Algebra 247, n.º 1 (enero de 2002): 244–67. http://dx.doi.org/10.1006/jabr.2001.8988.
Texto completoVörös, Jozef. "Recursive identification of time-varying non-linear cascade systems with static input and dynamic output non-linearities". Transactions of the Institute of Measurement and Control 40, n.º 3 (31 de octubre de 2016): 896–902. http://dx.doi.org/10.1177/0142331216670485.
Texto completoShariff, M. H. B. M. "An Analysis of Non-Linear Deformation of Bonded Rubber Mounts". Proceedings of the Institution of Mechanical Engineers, Part C: Mechanical Engineering Science 203, n.º 2 (marzo de 1989): 113–19. http://dx.doi.org/10.1243/pime_proc_1989_203_094_02.
Texto completoXu, Chenxing, Jiarula Yasenjiang, Pengfei Cui, Shengpeng Zhang y Xin Zhang. "Comprehensive Monitoring of Complex Industrial Processes with Multiple Characteristics". International Journal of Chemical Engineering 2022 (18 de agosto de 2022): 1–18. http://dx.doi.org/10.1155/2022/3054860.
Texto completoTesis sobre el tema "NON-LINEAR BLOCKS"
Ghazal, Rima. "Modélisation de la stabilité des blocs rocheux isolés sur la paroi des excavations souterraines avec prise en compte des contraintes initiales et du comportement non linéaire des joints". Phd thesis, Ecole Nationale Supérieure des Mines de Paris, 2013. http://pastel.archives-ouvertes.fr/pastel-00934081.
Texto completoFERREIRA, Carlos da Costa. "Previsão de Vazões Naturais Diárias Afluentes ao Reservatório da UHE Tucuruí Utilizando a Técnica de Redes Neurais Artificiais". Universidade Federal de Goiás, 2012. http://repositorio.bc.ufg.br/tede/handle/tde/970.
Texto completoThe forecast of natural flows to hydroelectric plant reservoirs is an essential input to the planning and programming of the SIN´s operation. Various computer models are used to determine these forecasts, including physical models, statistical models and the ones developed with the RNA´s techniques. Currently, the ONS performs daily forecasts of natural flows to the UHE Tucuruí based on the univariate stochastic model named PREVIVAZH, developed by Electric Energy Research Center - Eletrobras CEPEL. Throughout the last decade, several papers have shown evolution in the application of neural networks methodology in many areas, specially in the prediction of flows on a daily, weekly and monthly basis. The goal of this dissertation is to present and calibrate a model of natural flow forecast using the RNA´s methodology, more specifically the NSRBN (Non-Linear Sigmoidal Regression Blocks Networks) (VALENCA; LUDERMIR, 2001), on a time lapse from 1 to 12 days forward to the Tucuruí Hydroelectric Plant, considering the hydrometric stations data located upstream from it s reservoir. In addition, a comparative analysis of results found throughout the calibrated neural network and the ones released by ONS is performed. The results show the advantage of the methodology of artificial neural networks on autoregressive models. The Mean Absolute Percentage Error - MAPE values obtained were, on average, 48 % lower than those released by the ONS.
A previsão de vazões naturais aos reservatórios das usinas hidrelétricas é insumo fundamental para o planejamento e operação do SIN. Diversos modelos são utilizados na determinação dessas previsões, entre os quais podem ser citados os modelos físicos, os estatísticos e aqueles baseados na técnica de Redes Neurais Artificiais. Atualmente, o ONS realiza as previsões diárias de vazões naturais para a Usina Hidrelétrica Tucuruí com base no modelo estocástico univariado denominado PREVIVAZH, desenvolvido pelo CEPEL. Ao longo da última década, muitos trabalhos têm mostrado a evolução da aplicação da metodologia de Redes Neurais Artificiais em diversas áreas e em particular na previsão de vazões naturais, para intervalos de tempo diários, semanais e mensais. O objetivo deste trabalho foi calibrar e avaliar um modelo de previsão de vazões naturais, utilizando a metodologia de RNA, mais especificamente as redes construtivas do tipo NSRBN(Non-Linear Sigmoidal Regression Blocks Networks) (VALENCA; LUDERMIR, 2001), no horizonte de 1 até 12 dias à frente, para a Usina Hidrelétrica Tucuruí, considerando as informações advindas de postos hidrométricos localizados à montante do seu reservatório. Adicionalmente, foi realizada uma análise comparativa dos resultados encontrados pela rede neural calibrada e aqueles obtidos e divulgados pelo ONS. Os resultados obtidos mostram a vantagem da metodologia de redes neurais artificiais sobre os modelos auto-regressivos. Os valores do Erro Percentual Médio Absoluto - MAPE foram, em média, 48% inferiores aos divulgados pelo ONS.
Klaedtke, Andreas. "Spatio-temporal non-linear dynamics of lasing in micro-cavities full vectorial Maxwell-Bloch FDTD simulations /". [S.l. : s.n.], 2004. http://www.bsz-bw.de/cgi-bin/xvms.cgi?SWB12103645.
Texto completoRibeiro, de Azevedo Lucas [Verfasser], Michael [Akademischer Betreuer] Schäfer, Francisco José [Akademischer Betreuer] Galindo-Rosales y Philip [Akademischer Betreuer] Cardiff. "Development of a block-coupled finite volume methodology for non linear elasticity / Lucas Ribeiro de Azevedo ; Michael Schäfer, Francisco José Galindo-Rosales, Philip Cardiff". Darmstadt : Universitäts- und Landesbibliothek, 2021. http://d-nb.info/123240750X/34.
Texto completoCorneli, Marco. "Dynamic stochastic block models, clustering and segmentation in dynamic graphs". Thesis, Paris 1, 2017. http://www.theses.fr/2017PA01E012/document.
Texto completoThis thesis focuses on the statistical analysis of dynamic graphs, both defined in discrete or continuous time. We introduce a new extension of the stochastic block model (SBM) for dynamic graphs. The proposed approach, called dSBM, adopts non homogeneous Poisson processes to model the interaction times between pairs of nodes in dynamic graphs, either in discrete or continuous time. The intensity functions of the processes only depend on the node clusters, in a block modelling perspective. Moreover, all the intensity functions share some regularity properties on hidden time intervals that need to be estimated. A recent estimation algorithm for SBM, based on the greedy maximization of an exact criterion (exact ICL) is adopted for inference and model selection in dSBM. Moreover, an exact algorithm for change point detection in time series, the "pruned exact linear time" (PELT) method is extended to deal with dynamic graph data modelled via dSBM. The approach we propose can be used for change point analysis in graph data. Finally, a further extension of dSBM is developed to analyse dynamic net- works with textual edges (like social networks, for instance). In this context, the graph edges are associated with documents exchanged between the corresponding vertices. The textual content of the documents can provide additional information about the dynamic graph topological structure. The new model we propose is called "dynamic stochastic topic block model" (dSTBM).Graphs are mathematical structures very suitable to model interactions between objects or actors of interest. Several real networks such as communication networks, financial transaction networks, mobile telephone networks and social networks (Facebook, Linkedin, etc.) can be modelled via graphs. When observing a network, the time variable comes into play in two different ways: we can study the time dates at which the interactions occur and/or the interaction time spans. This thesis only focuses on the first time dimension and each interaction is assumed to be instantaneous, for simplicity. Hence, the network evolution is given by the interaction time dates only. In this framework, graphs can be used in two different ways to model networks. Discrete time […] Continuous time […]. In this thesis both these perspectives are adopted, alternatively. We consider new unsupervised methods to cluster the vertices of a graph into groups of homogeneous connection profiles. In this manuscript, the node groups are assumed to be time invariant to avoid possible identifiability issues. Moreover, the approaches that we propose aim to detect structural changes in the way the node clusters interact with each other. The building block of this thesis is the stochastic block model (SBM), a probabilistic approach initially used in social sciences. The standard SBM assumes that the nodes of a graph belong to hidden (disjoint) clusters and that the probability of observing an edge between two nodes only depends on their clusters. Since no further assumption is made on the connection probabilities, SBM is a very flexible model able to detect different network topologies (hubs, stars, communities, etc.)
Griffiths, Wayne Bradley. "On a posteriori probability decoding of linear block codes over discrete channels". University of Western Australia. School of Electrical, Electronic and Computer Engineering, 2008. http://theses.library.uwa.edu.au/adt-WU2008.0156.
Texto completoČermák, Justin. "Implementace umělé neuronové sítě do obvodu FPGA". Master's thesis, Vysoké učení technické v Brně. Fakulta elektrotechniky a komunikačních technologií, 2011. http://www.nusl.cz/ntk/nusl-219363.
Texto completoTorshage, Axel. "Non-selfadjoint operator functions". Doctoral thesis, Umeå universitet, Institutionen för matematik och matematisk statistik, 2017. http://urn.kb.se/resolve?urn=urn:nbn:se:umu:diva-143085.
Texto completoKervazo, Christophe. "Optimization framework for large-scale sparse blind source separation". Thesis, Université Paris-Saclay (ComUE), 2019. http://www.theses.fr/2019SACLS354/document.
Texto completoDuring the last decades, Blind Source Separation (BSS) has become a key analysis tool to study multi-valued data. The objective of this thesis is however to focus on large-scale settings, for which most classical algorithms fail. More specifically, it is subdivided into four sub-problems taking their roots around the large-scale sparse BSS issue: i) introduce a mathematically sound robust sparse BSS algorithm which does not require any relaunch (despite a difficult hyper-parameter choice); ii) introduce a method being able to maintain high quality separations even when a large-number of sources needs to be estimated; iii) make a classical sparse BSS algorithm scalable to large-scale datasets; and iv) an extension to the non-linear sparse BSS problem. The methods we propose are extensively tested on both simulated and realistic experiments to demonstrate their quality. In-depth interpretations of the results are proposed
Winkler, Anderson M. "Widening the applicability of permutation inference". Thesis, University of Oxford, 2016. https://ora.ox.ac.uk/objects/uuid:ce166876-0aa3-449e-8496-f28bf189960c.
Texto completoLibros sobre el tema "NON-LINEAR BLOCKS"
Holland, John H. 6. Emergence. Oxford University Press, 2014. http://dx.doi.org/10.1093/actrade/9780199662548.003.0006.
Texto completoTretkoff, Paula. Complex Surfaces and Coverings. Princeton University Press, 2017. http://dx.doi.org/10.23943/princeton/9780691144771.003.0004.
Texto completoTibaldi, Stefano y Franco Molteni. Atmospheric Blocking in Observation and Models. Oxford University Press, 2018. http://dx.doi.org/10.1093/acrefore/9780190228620.013.611.
Texto completoCapítulos de libros sobre el tema "NON-LINEAR BLOCKS"
Lee, Ryan Chi-Kong y Rank R. Kschischang. "Non-minimal trellises for linear block codes". En Information Theory and Applications II, 111–29. Berlin, Heidelberg: Springer Berlin Heidelberg, 1996. http://dx.doi.org/10.1007/bfb0025140.
Texto completoDinur, Itai, Daniel Kales, Angela Promitzer, Sebastian Ramacher y Christian Rechberger. "Linear Equivalence of Block Ciphers with Partial Non-Linear Layers: Application to LowMC". En Advances in Cryptology – EUROCRYPT 2019, 343–72. Cham: Springer International Publishing, 2019. http://dx.doi.org/10.1007/978-3-030-17653-2_12.
Texto completoAlparone, Luciano, Mauro Barni y Franco Bartolini. "Adaptively Weighted Vector-Median Processing of Motion Fields in Block DCT and Object-Based Video Coding". En Noblesse Workshop on Non-Linear Model Based Image Analysis, 320–25. London: Springer London, 1998. http://dx.doi.org/10.1007/978-1-4471-1597-7_50.
Texto completoPantelakis, Sp y P. Papanikos. "Fatigue Life Under two-stage Block Loading Using Non-Linear Damage Accumulation". En Problems of Fracture Mechanics and Fatigue, 563–64. Dordrecht: Springer Netherlands, 2003. http://dx.doi.org/10.1007/978-94-017-2774-7_121.
Texto completoJakobsen, Thomas. "Cryptanalysis of block ciphers with probabilistic non-linear relations of low degree". En Advances in Cryptology — CRYPTO '98, 212–22. Berlin, Heidelberg: Springer Berlin Heidelberg, 1998. http://dx.doi.org/10.1007/bfb0055730.
Texto completoTistel, J. y G. Grimstad. "A macro model description of the non-linear anchor block foundation behavior". En Insights and Innovations in Structural Engineering, Mechanics and Computation, 2078–84. Taylor & Francis Group, 6000 Broken Sound Parkway NW, Suite 300, Boca Raton, FL 33487-2742: CRC Press, 2016. http://dx.doi.org/10.1201/9781315641645-344.
Texto completoCourtois, Nicolas T. "The Inverse S-Box, Non-linear Polynomial Relations and Cryptanalysis of Block Ciphers". En Advanced Encryption Standard – AES, 170–88. Berlin, Heidelberg: Springer Berlin Heidelberg, 2005. http://dx.doi.org/10.1007/11506447_15.
Texto completoVarshney, Nehal, Geetansh Saxena y Girish Mishra. "ANN Based Security Analysis of Block Ciphers with Focus on Non-linear Component". En Advances in Intelligent Systems and Computing, 333–46. Singapore: Springer Singapore, 2021. http://dx.doi.org/10.1007/978-981-16-2712-5_28.
Texto completoAlkasassbeh, Mohammad y Zurni Omar. "One-Step Third-Derivative Block Method with Two-Hybrid Points for Solving Non-linear Dirichlet Second Order Boundary Value Problems". En Proceedings of the Third International Conference on Computing, Mathematics and Statistics (iCMS2017), 135–46. Singapore: Springer Singapore, 2019. http://dx.doi.org/10.1007/978-981-13-7279-7_17.
Texto completoMamaghani, Iraj H. P. "Application of Discrete Finite Element Method for Analysis of Unreinforced Masonry Structures". En Computational Modeling of Masonry Structures Using the Discrete Element Method, 440–58. IGI Global, 2016. http://dx.doi.org/10.4018/978-1-5225-0231-9.ch017.
Texto completoActas de conferencias sobre el tema "NON-LINEAR BLOCKS"
Venkatesan, T., R. Stanley Williams, Sreebrata Goswami y Sreetosh Goswami. "Molecular building blocks for non-linear circuits". En 2022 IEEE International Symposium on Circuits and Systems (ISCAS). IEEE, 2022. http://dx.doi.org/10.1109/iscas48785.2022.9937888.
Texto completoOlivadese, S. B., P. Brenner y S. Grivet-Talocia. "DC-compliant small-signal macromodels of non-linear circuit blocks". En 2013 17th IEEE Workshop on Signal and Power Integrity (SPI). IEEE, 2013. http://dx.doi.org/10.1109/sapiw.2013.6558330.
Texto completoZhang, K., E. Poutrina, A. Urbas y O. Rabin. "Metallic NanoArc Antennas – Plasmonics Building Blocks for Non-Linear Optical Metamaterials". En 2018 12th International Congress on Artificial Materials for Novel Wave Phenomena (Metamaterials). IEEE, 2018. http://dx.doi.org/10.1109/metamaterials.2018.8534150.
Texto completoMaziere, C., W. Saabe, Z. Ouardirhi y T. Gasseling. "Wideband test bench dedicated to behavioral modeling of non linear RF blocks with frequency transposition and memory." En 2018 91st ARFTG Microwave Measurement Conference (ARFTG). IEEE, 2018. http://dx.doi.org/10.1109/arftg.2018.8423815.
Texto completoSumikawa, Rei, Kota Shiba, Atsutake Kosuge, Mototsugu Hamada y Tadahiro Kuroda. "A 1.2nJ/Classification Fully Synthesized All-Digital Asynchronous Wired-Logic Processor Using Quantized Non-Linear Function Blocks in 0.18μm CMOS". En ASPDAC '23: 28th Asia and South Pacific Design Automation Conference. New York, NY, USA: ACM, 2023. http://dx.doi.org/10.1145/3566097.3567941.
Texto completoLuther-Davies, Barry. "Guiding Light by Light Using Dark Spatial Solitons". En Nonlinear Optics. Washington, D.C.: Optica Publishing Group, 1992. http://dx.doi.org/10.1364/nlo.1992.wa6.
Texto completoPatel, Purvic y Gecheng Zha. "Investigation of Mixed Micro-Compressor Casing Treatment Using Non-Matching Mesh Interface". En ASME Turbo Expo 2019: Turbomachinery Technical Conference and Exposition. American Society of Mechanical Engineers, 2019. http://dx.doi.org/10.1115/gt2019-90977.
Texto completoAgresti, M., S. M. Camporeale y B. Fortunato. "An Object-Oriented Program for the Dynamic Simulation of Gas Turbines". En ASME Turbo Expo 2000: Power for Land, Sea, and Air. American Society of Mechanical Engineers, 2000. http://dx.doi.org/10.1115/2000-gt-0042.
Texto completoBanerjee, Abhishek y Ameeya Kumar Nayak. "Assessment and Prediction of EOF Mixing in Binary Electrolytes". En ASME 2017 Fluids Engineering Division Summer Meeting. American Society of Mechanical Engineers, 2017. http://dx.doi.org/10.1115/fedsm2017-69524.
Texto completoCrosa, G., G. Ferrari y A. Trucco. "Modelling and Recoupling the Control Loops in a Heavy-Duty Gas Turbine Plant". En ASME 1995 International Gas Turbine and Aeroengine Congress and Exposition. American Society of Mechanical Engineers, 1995. http://dx.doi.org/10.1115/95-gt-061.
Texto completoInformes sobre el tema "NON-LINEAR BLOCKS"
Altstein, Miriam y Ronald J. Nachman. Rational Design of Insect Control Agent Prototypes Based on Pyrokinin/PBAN Neuropeptide Antagonists. United States Department of Agriculture, agosto de 2013. http://dx.doi.org/10.32747/2013.7593398.bard.
Texto completo