Academic literature on the topic 'NON-LINEAR BLOCKS'
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Journal articles on the topic "NON-LINEAR BLOCKS"
Кuznetsov, О. О., Yu І. Gorbenko, І. М. Bilozertsev, А. V. Аndrushkevych, and О. P. Narizhnyi. "ALGEBRAIC IMMUNITY OF NON-LINEAR BLOCKS OF SYMMETRIC CIPHERS." Telecommunications and Radio Engineering 77, no. 4 (2018): 309–25. http://dx.doi.org/10.1615/telecomradeng.v77.i4.30.
Full textArtyushkov, E. V. "Accelerated non-linear destruction of the earth's crust." Discrete Dynamics in Nature and Society 6, no. 4 (2001): 281–90. http://dx.doi.org/10.1155/s1026022601000322.
Full textArtyushenko, V. M., and V. I. Volovach. "The synthesis of the servo gauges are implemented using blocks of nonlinear transformation with quadrature generators." Informacionno-technologicheskij vestnik 14, no. 4 (December 30, 2017): 16–29. http://dx.doi.org/10.21499/2409-1650-2017-4-16-29.
Full textR, Prithiviraj, and Selvakumar J. "Non-Linear Mathematical Modelling for Phase Locked Loop." International Journal of Engineering & Technology 7, no. 4.10 (October 2, 2018): 81. http://dx.doi.org/10.14419/ijet.v7i4.10.20710.
Full textCheng, C. C., G. L. Su, and C. W. Chien. "Block backstepping controllers design for a class of perturbed non-linear systems with m blocks." IET Control Theory & Applications 6, no. 13 (September 6, 2012): 2021–30. http://dx.doi.org/10.1049/iet-cta.2011.0431.
Full textCirera, Jordi, Yuan Jiang, Lei Qin, Yan-Zhen Zheng, Guanghua Li, Gang Wu, and Eliseo Ruiz. "Ferromagnetism in polynuclear systems based on non-linear [MnII2MnIII] building blocks." Inorganic Chemistry Frontiers 3, no. 10 (2016): 1272–79. http://dx.doi.org/10.1039/c6qi00189k.
Full textTurner, W. "Equivalent Blocks of Finite General Linear Groups in Non-describing Characteristic." Journal of Algebra 247, no. 1 (January 2002): 244–67. http://dx.doi.org/10.1006/jabr.2001.8988.
Full textVörös, 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, no. 3 (October 31, 2016): 896–902. http://dx.doi.org/10.1177/0142331216670485.
Full textShariff, 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, no. 2 (March 1989): 113–19. http://dx.doi.org/10.1243/pime_proc_1989_203_094_02.
Full textXu, Chenxing, Jiarula Yasenjiang, Pengfei Cui, Shengpeng Zhang, and Xin Zhang. "Comprehensive Monitoring of Complex Industrial Processes with Multiple Characteristics." International Journal of Chemical Engineering 2022 (August 18, 2022): 1–18. http://dx.doi.org/10.1155/2022/3054860.
Full textDissertations / Theses on the topic "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.
Full textFERREIRA, 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.
Full textThe 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.
Full textRibeiro, de Azevedo Lucas [Verfasser], Michael [Akademischer Betreuer] Schäfer, Francisco José [Akademischer Betreuer] Galindo-Rosales, and 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.
Full textCorneli, Marco. "Dynamic stochastic block models, clustering and segmentation in dynamic graphs." Thesis, Paris 1, 2017. http://www.theses.fr/2017PA01E012/document.
Full textThis 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.
Full textČermák, 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.
Full textTorshage, 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.
Full textKervazo, Christophe. "Optimization framework for large-scale sparse blind source separation." Thesis, Université Paris-Saclay (ComUE), 2019. http://www.theses.fr/2019SACLS354/document.
Full textDuring 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.
Full textBooks on the topic "NON-LINEAR BLOCKS"
Holland, John H. 6. Emergence. Oxford University Press, 2014. http://dx.doi.org/10.1093/actrade/9780199662548.003.0006.
Full textTretkoff, Paula. Complex Surfaces and Coverings. Princeton University Press, 2017. http://dx.doi.org/10.23943/princeton/9780691144771.003.0004.
Full textTibaldi, Stefano, and Franco Molteni. Atmospheric Blocking in Observation and Models. Oxford University Press, 2018. http://dx.doi.org/10.1093/acrefore/9780190228620.013.611.
Full textBook chapters on the topic "NON-LINEAR BLOCKS"
Lee, Ryan Chi-Kong, and Rank R. Kschischang. "Non-minimal trellises for linear block codes." In Information Theory and Applications II, 111–29. Berlin, Heidelberg: Springer Berlin Heidelberg, 1996. http://dx.doi.org/10.1007/bfb0025140.
Full textDinur, Itai, Daniel Kales, Angela Promitzer, Sebastian Ramacher, and Christian Rechberger. "Linear Equivalence of Block Ciphers with Partial Non-Linear Layers: Application to LowMC." In Advances in Cryptology – EUROCRYPT 2019, 343–72. Cham: Springer International Publishing, 2019. http://dx.doi.org/10.1007/978-3-030-17653-2_12.
Full textAlparone, Luciano, Mauro Barni, and Franco Bartolini. "Adaptively Weighted Vector-Median Processing of Motion Fields in Block DCT and Object-Based Video Coding." In 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.
Full textPantelakis, Sp, and P. Papanikos. "Fatigue Life Under two-stage Block Loading Using Non-Linear Damage Accumulation." In Problems of Fracture Mechanics and Fatigue, 563–64. Dordrecht: Springer Netherlands, 2003. http://dx.doi.org/10.1007/978-94-017-2774-7_121.
Full textJakobsen, Thomas. "Cryptanalysis of block ciphers with probabilistic non-linear relations of low degree." In Advances in Cryptology — CRYPTO '98, 212–22. Berlin, Heidelberg: Springer Berlin Heidelberg, 1998. http://dx.doi.org/10.1007/bfb0055730.
Full textTistel, J., and G. Grimstad. "A macro model description of the non-linear anchor block foundation behavior." In 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.
Full textCourtois, Nicolas T. "The Inverse S-Box, Non-linear Polynomial Relations and Cryptanalysis of Block Ciphers." In Advanced Encryption Standard – AES, 170–88. Berlin, Heidelberg: Springer Berlin Heidelberg, 2005. http://dx.doi.org/10.1007/11506447_15.
Full textVarshney, Nehal, Geetansh Saxena, and Girish Mishra. "ANN Based Security Analysis of Block Ciphers with Focus on Non-linear Component." In Advances in Intelligent Systems and Computing, 333–46. Singapore: Springer Singapore, 2021. http://dx.doi.org/10.1007/978-981-16-2712-5_28.
Full textAlkasassbeh, Mohammad, and Zurni Omar. "One-Step Third-Derivative Block Method with Two-Hybrid Points for Solving Non-linear Dirichlet Second Order Boundary Value Problems." In 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.
Full textMamaghani, Iraj H. P. "Application of Discrete Finite Element Method for Analysis of Unreinforced Masonry Structures." In 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.
Full textConference papers on the topic "NON-LINEAR BLOCKS"
Venkatesan, T., R. Stanley Williams, Sreebrata Goswami, and Sreetosh Goswami. "Molecular building blocks for non-linear circuits." In 2022 IEEE International Symposium on Circuits and Systems (ISCAS). IEEE, 2022. http://dx.doi.org/10.1109/iscas48785.2022.9937888.
Full textOlivadese, S. B., P. Brenner, and S. Grivet-Talocia. "DC-compliant small-signal macromodels of non-linear circuit blocks." In 2013 17th IEEE Workshop on Signal and Power Integrity (SPI). IEEE, 2013. http://dx.doi.org/10.1109/sapiw.2013.6558330.
Full textZhang, K., E. Poutrina, A. Urbas, and O. Rabin. "Metallic NanoArc Antennas – Plasmonics Building Blocks for Non-Linear Optical Metamaterials." In 2018 12th International Congress on Artificial Materials for Novel Wave Phenomena (Metamaterials). IEEE, 2018. http://dx.doi.org/10.1109/metamaterials.2018.8534150.
Full textMaziere, C., W. Saabe, Z. Ouardirhi, and T. Gasseling. "Wideband test bench dedicated to behavioral modeling of non linear RF blocks with frequency transposition and memory." In 2018 91st ARFTG Microwave Measurement Conference (ARFTG). IEEE, 2018. http://dx.doi.org/10.1109/arftg.2018.8423815.
Full textSumikawa, Rei, Kota Shiba, Atsutake Kosuge, Mototsugu Hamada, and Tadahiro Kuroda. "A 1.2nJ/Classification Fully Synthesized All-Digital Asynchronous Wired-Logic Processor Using Quantized Non-Linear Function Blocks in 0.18μm CMOS." In ASPDAC '23: 28th Asia and South Pacific Design Automation Conference. New York, NY, USA: ACM, 2023. http://dx.doi.org/10.1145/3566097.3567941.
Full textLuther-Davies, Barry. "Guiding Light by Light Using Dark Spatial Solitons." In Nonlinear Optics. Washington, D.C.: Optica Publishing Group, 1992. http://dx.doi.org/10.1364/nlo.1992.wa6.
Full textPatel, Purvic, and Gecheng Zha. "Investigation of Mixed Micro-Compressor Casing Treatment Using Non-Matching Mesh Interface." In ASME Turbo Expo 2019: Turbomachinery Technical Conference and Exposition. American Society of Mechanical Engineers, 2019. http://dx.doi.org/10.1115/gt2019-90977.
Full textAgresti, M., S. M. Camporeale, and B. Fortunato. "An Object-Oriented Program for the Dynamic Simulation of Gas Turbines." In 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.
Full textBanerjee, Abhishek, and Ameeya Kumar Nayak. "Assessment and Prediction of EOF Mixing in Binary Electrolytes." In ASME 2017 Fluids Engineering Division Summer Meeting. American Society of Mechanical Engineers, 2017. http://dx.doi.org/10.1115/fedsm2017-69524.
Full textCrosa, G., G. Ferrari, and A. Trucco. "Modelling and Recoupling the Control Loops in a Heavy-Duty Gas Turbine Plant." In 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.
Full textReports on the topic "NON-LINEAR BLOCKS"
Altstein, Miriam, and Ronald J. Nachman. Rational Design of Insect Control Agent Prototypes Based on Pyrokinin/PBAN Neuropeptide Antagonists. United States Department of Agriculture, August 2013. http://dx.doi.org/10.32747/2013.7593398.bard.
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