Academic literature on the topic 'Granular Ensembles'

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Journal articles on the topic "Granular Ensembles"

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Puckett, James G., Frédéric Lechenault, and Karen E. Daniels. "Generating ensembles of two-dimensional granular configurations." Chaos: An Interdisciplinary Journal of Nonlinear Science 19, no. 4 (2009): 041108. http://dx.doi.org/10.1063/1.3207830.

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Puzyrev, Dmitry, Kirsten Harth, Torsten Trittel, and Ralf Stannarius. "Machine Learning for 3D Particle Tracking in Granular Gases." Microgravity Science and Technology 32, no. 5 (2020): 897–906. http://dx.doi.org/10.1007/s12217-020-09800-4.

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Abstract Dilute ensembles of granular matter (so-called granular gases) are nonlinear systems which exhibit fascinating dynamical behavior far from equilibrium, including non-Gaussian distributions of velocities and rotational velocities, clustering, and violation of energy equipartition. In order to understand their dynamic properties, microgravity experiments were performed in suborbital flights and drop tower experiments. Up to now, the experimental images were evaluated mostly manually. Here, we introduce an approach for automatic 3D tracking of positions and orientations of rod-like parti
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Singh, Saurabh, and Tejas G. Murthy. "Evolution of structure of cohesive granular ensembles in compression." International Journal of Solids and Structures 238 (March 2022): 111359. http://dx.doi.org/10.1016/j.ijsolstr.2021.111359.

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Tighe, Brian P., and Thijs J. H. Vlugt. "Force balance in canonical ensembles of static granular packings." Journal of Statistical Mechanics: Theory and Experiment 2010, no. 01 (2010): P01015. http://dx.doi.org/10.1088/1742-5468/2010/01/p01015.

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Medini, Chaitanya, Bipin Nair, Egidio D'Angelo, Giovanni Naldi, and Shyam Diwakar. "Modeling Spike-Train Processing in the Cerebellum Granular Layer and Changes in Plasticity Reveal Single Neuron Effects in Neural Ensembles." Computational Intelligence and Neuroscience 2012 (2012): 1–17. http://dx.doi.org/10.1155/2012/359529.

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The cerebellum input stage has been known to perform combinatorial operations on input signals. In this paper, two types of mathematical models were used to reproduce the role of feed-forward inhibition and computation in the granular layer microcircuitry to investigate spike train processing. A simple spiking model and a biophysically-detailed model of the network were used to study signal recoding in the granular layer and to test observations like center-surround organization and time-window hypothesis in addition to effects of induced plasticity. Simulations suggest that simple neuron mode
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Spahn, F., N. Albers, M. Sremčević, and C. Thornton. "Kinetic description of coagulation and fragmentation in dilute granular particle ensembles." Europhysics Letters (EPL) 67, no. 4 (2004): 545–51. http://dx.doi.org/10.1209/epl/i2003-10301-2.

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Đekić, Maja, Ajla Karić, Amra Salčinović Fetić, et al. "THE EFECT OF DIMENSIONALITY AND CURRENT STRENGHT ON CONDUCTIVITY OF GRANULAR METALS." Journal of Sustainable Technologies and Materials 4, no. 6 (2024): 8–14. http://dx.doi.org/10.57131/jstm.2024.6.2.

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<p>Metallic materials in granular packings show different electrical properties from their bulk counterparts. In this paper, we investigate the temporal evolution of the electrical conductivity of granular metals. We use metallic beads arranged in different one-, two- and three-dimensional ensembles through which different constant currents are injected. The conductivity behavior in all three types of systems is qualitatively similar. The results show the rise of conductivity which is more pronounced in the earlier stages of the time evolution. We investigate the influence of the
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ARÉVALO, ROBERTO, IKER ZURIGUEL, and DIEGO MAZA. "TOPOLOGICAL PROPERTIES OF THE CONTACT NETWORK OF GRANULAR MATERIALS." International Journal of Bifurcation and Chaos 19, no. 02 (2009): 695–702. http://dx.doi.org/10.1142/s0218127409023056.

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The force networks of different granular ensembles are defined and their topological properties studied using the tools of complex networks. In particular, for each set of grains compressed in a square box, a force threshold is introduced that determines which contacts conform the network. Hence, the topological characteristics of the network are analyzed as a function of this parameter. The characterization of the structural features thus obtained, may be useful in the understanding of the macroscopic physical behavior exhibited by this class of media.
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Singh, Saurabh, Ramesh Kannan Kandasami, Rupesh Kumar Mahendran, and Tejas Murthy. "System size effects on the mechanical response of cohesive-frictional granular ensembles." EPJ Web of Conferences 140 (2017): 08007. http://dx.doi.org/10.1051/epjconf/201714008007.

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BADRI, Yousif, Andrew HALL, George DODD, et al. "The use of ensembles trees machine learning method in estimating damping of granular materials." INTER-NOISE and NOISE-CON Congress and Conference Proceedings 270, no. 10 (2024): 1420–31. http://dx.doi.org/10.3397/in_2024_2970.

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Granular Materials (GM) employed within the mechanism of particle dampers attenuate the vibration energy due to their interparticle and particle-wall interactions. Estimating their damping effect using the analytical equivalent single mass approach overlooked the particles' individual losses that are built into the total damping. Alternatively, the numerical techniques (e.g., Discrete Element) are time-inefficient and computationally demanding. Therefore, this study explores the implementation of Machine learning (ML) algorithms to estimate the damping effect of GM. The ML model in this study
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Dissertations / Theses on the topic "Granular Ensembles"

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Metzger, Philip. "DERIVING THE DENSITY OF STATES FOR GRANULAR CONTACT FORCES." Doctoral diss., University of Central Florida, 2005. http://digital.library.ucf.edu/cdm/ref/collection/ETD/id/2809.

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The density of single grain states in static granular packings is derived from first principles for an idealized yet fundamental case. This produces the distribution of contact forces P_f(f) in the packing. Because there has been some controversy in the published literature over the exact form of the distribution, this dissertation begins by reviewing the existing empirical observations to resolve those controversies. A method is then developed to analyze Edwards' granular contact force probability functional from first principles. The derivation assumes Edwards' flat measure -- a density of s
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Kumar, V. Shravan. "Rheological Studies on Slow Flow in Dense Granular Ensembles." Thesis, 2017. https://etd.iisc.ac.in/handle/2005/4818.

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An experimental study on the rheology and kinematics of dense granular materials is presented in this thesis in the slow flow regime. In this study, we employ an often used experimental set up of the cylindrical Couette Cell, for understanding the rheology of a host of model granular materials, especially under slow flow conditions. Using a multi axis transducer capable of measuring one normal and two shear stress components, we study the wall stress profiles in granular ensembles. In a static granular bed, the stress saturates over certain depth as has been well documented. In the case of sl
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Books on the topic "Granular Ensembles"

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Duentsch, Ivo. Rough Sets, Fuzzy Sets, Data Mining, and Granular Computing (vol. # 3641): 10th International Conference, RSFDGrC 2005, Regina, Canada, August 31 - September 3, 2005, Proceedings, Part I. Springer-Verlag., 2005.

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(Editor), Dominik Slezak, Guoyin Wang (Editor), Marcin Szczuka (Editor), Ivo Duentsch (Editor), and Yiyu Yao (Editor), eds. Rough Sets, Fuzzy Sets, Data Mining, and Granular Computing: 10th International Conference, RSFDGrC 2005, Regina, Canada, August 31 - September 3, 2005, ... / Lecture Notes in Artificial Intelligence). Springer, 2005.

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Oklopcic, Zoran. Nephos, Scopos, Algorithm. Oxford University Press, 2018. http://dx.doi.org/10.1093/oso/9780198799092.003.0005.

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Chapter 5 moves beyond the two most politically consequential understandings of the right to self-determination: attributed to Demos and Ethnos respectively. While normative theorists are not sure how to evoke these figures, this chapter treats them as ensembles that are extracted from Nephos; an even fuzzier and more granular political ‘aerosol’. Against it as a backdrop, the discrete locations of territorial rights will also appear more fuzzified—not as identifiable locations, but rather as Scopos; visual effects of concealed, but nevertheless contestable scopic regimes. Once its holders and
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Book chapters on the topic "Granular Ensembles"

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Mireles de Villafranca, Alonso Espinosa, Richard D. Connors, and R. Eddie Wilson. "Static Traffic Assignment on Ensembles of Synthetic Road Networks." In Traffic and Granular Flow '17. Springer International Publishing, 2019. http://dx.doi.org/10.1007/978-3-030-11440-4_4.

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Frye, Robert H., and David C. Wilson. "Granular Emotion Detection in Social Media Using Multi-Discipline Ensembles." In Lecture Notes in Computer Science. Springer International Publishing, 2022. http://dx.doi.org/10.1007/978-3-031-16564-1_1.

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Wang, Xin, and Rong Zhong. "A New Weighted Ensemble Classifier Based on Granular Model." In Advances in Natural Computation, Fuzzy Systems and Knowledge Discovery. Springer International Publishing, 2021. http://dx.doi.org/10.1007/978-3-030-70665-4_93.

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Artiemjew, Piotr. "Ensemble of Classifiers Based on Simple Granules of Knowledge." In Communications in Computer and Information Science. Springer International Publishing, 2017. http://dx.doi.org/10.1007/978-3-319-67642-5_28.

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Brnawy, Rahmah, and Nematollaah Shiri. "Improving Quality of Ensemble Technique for Categorical Data Clustering Using Granule Computing." In Lecture Notes in Computer Science. Springer International Publishing, 2021. http://dx.doi.org/10.1007/978-3-030-86472-9_24.

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Sarkar, Jaya, and Sua Myong. "Single-Molecule and Ensemble Methods to Probe Initial Stages of RNP Granule Assembly." In Methods in Molecular Biology. Springer New York, 2018. http://dx.doi.org/10.1007/978-1-4939-8591-3_19.

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Tarzi, Zemaryalai. "Les reliquaires et les reliques de Mašreqi". У Mondes grec et indien, d’Alexandre le Grand à Kaniṣka. Presses universitaires de Franche-Comté, 2023. https://doi.org/10.4000/139o3.

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Résumé : Ce formidable ensemble de reliquaires et reliques inédit qui fait l’objet de notre recherche provient de l’est de l’Afġānestān, mais ne connaissant pas avec exactitude le lieu ou le site de sa découverte, nous lui avons attribué un nom d’emprunt : Mašreqi (ancien nom de la province orientale de l’Afġānestān équivalent du Grand Est français au lieu de l’habituel Ĵalālābād). Pourquoi cette précaution sur le choix d’un tel nom de lieu ? Parce que la plupart des découvertes de ce type de reliquaires ont été faites, à quelques rares exceptions près, sur le sol des faubourgs de l’a
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Kandasami, R., and T. Murthy. "Effect of particle shape on the mechanical response of a granular ensemble." In Geomechanics from Micro to Macro. CRC Press, 2014. http://dx.doi.org/10.1201/b17395-196.

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Conference papers on the topic "Granular Ensembles"

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Islam, Jahirul, Touhid Imam, Sharmin Sultana, Md Sanowar Hossain Sabuj, Mohammad Shihab Uddin, and Bushra Uddin. "Hierarchical Superiority of Machine Learning Ensembles in Diabetes Risk Apprehension: A Granular Analytical Perspective." In 2024 IEEE International Conference on Computing (ICOCO). IEEE, 2024. https://doi.org/10.1109/icoco62848.2024.10928213.

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Kannan, Rajkumar, Samuel Giftson Durai, Abdul Raouf Khan, and Kalaiarasi Sonai Muthu. "EnVoR: Multi-Granular Gold Price Prediction Using Ensemble Voting Regression." In 2025 International Conference for Artificial Intelligence, Applications, Innovation and Ethics (AI2E). IEEE, 2025. https://doi.org/10.1109/ai2e64943.2025.10983280.

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Saluena, Clara, Sergei E. Esipov, Thorsten Poeschel, and Stephan S. Simonian. "Dissipative properties of granular ensembles." In 5th Annual International Symposium on Smart Structures and Materials, edited by L. Porter Davis. SPIE, 1998. http://dx.doi.org/10.1117/12.310696.

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Puckett, James G., Frédéric Lechenault, Karen E. Daniels, Masami Nakagawa, and Stefan Luding. "Generating ensembles and measuring mixing in a model granular system." In POWDERS AND GRAINS 2009: PROCEEDINGS OF THE 6TH INTERNATIONAL CONFERENCE ON MICROMECHANICS OF GRANULAR MEDIA. AIP, 2009. http://dx.doi.org/10.1063/1.3180016.

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Jianhua Dai, Xiaochun Liu, Shaomin Zhang, et al. "Analysis of neuronal ensembles encoding model in invasive brain-computer interface study using Radial-Basis-Function networks." In 2008 IEEE International Conference on Granular Computing (GrC-2008). IEEE, 2008. http://dx.doi.org/10.1109/grc.2008.4664720.

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Snezhko, Alexey, Igor Aranson, Maxim Belkin, Masami Nakagawa, and Stefan Luding. "Emergent Phenomena in Far-From-Equilibrium Magnetic Granular Ensembles at a Liquid-Air Interface." In POWDERS AND GRAINS 2009: PROCEEDINGS OF THE 6TH INTERNATIONAL CONFERENCE ON MICROMECHANICS OF GRANULAR MEDIA. AIP, 2009. http://dx.doi.org/10.1063/1.3179849.

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Kruggel-Emden, Harald, Erdem Simsek, Siegmar Wirtz, and Viktor Scherer. "A Numerical Study of Particle Flow and Mixing on Conveying Equipment in Two and Three Dimensions by the Discrete Element Method (DEM)." In ASME 2006 Pressure Vessels and Piping/ICPVT-11 Conference. ASMEDC, 2006. http://dx.doi.org/10.1115/pvp2006-icpvt-11-93367.

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Based on LEAT’s discrete element codes, granular flow and mixing on conveying equipment is studied in two and three dimensions. Discrete element simulations, which are briefly introduced, provide detailed information on particle positions and velocities over time. This information is used to derive quantities characterizing the dynamic process of mixing. The main focus of the study presented is the mixing process of inhomogeneous particle ensembles on different grate types. For this purpose the introduced mixing parameters are used to compare the mixing in a 3D situation with the corresponding
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Boyle, Edward J. "Flowing Granular Materials and the Maxwell-Boltzmann Velocity Distribution." In ASME 2000 International Mechanical Engineering Congress and Exposition. American Society of Mechanical Engineers, 2000. http://dx.doi.org/10.1115/imece2000-2001.

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Abstract The single-granule velocity distribution function is shown to be Maxwell-Boltzmann for hard-sphere granular flows at steady-state exhibiting no gradients and absent a body-force. This is accomplished by approximating the two-granule velocity distribution function as the product of two single-granule velocity distribution functions and a correlating function and by applying to a canonical ensemble a function analogous to Boltzmann’s H-function.
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Mei, S. Y., Y. Liu, G. F. Wu, and B. F. Zhang. "Rough reducts based SVM ensemble." In 2005 IEEE International Conference on Granular Computing. IEEE, 2005. http://dx.doi.org/10.1109/grc.2005.1547356.

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Cheng, Yong, and Ruilian Zhao. "Multiview spectral clustering via ensemble." In 2009 IEEE International Conference on Granular Computing (GRC). IEEE, 2009. http://dx.doi.org/10.1109/grc.2009.5255152.

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