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On the generation of RVE-based models of composites reinforced with long fibres or spherical particles

G. Catalanotti
2016 Composite structures  
The algorithm is fast, able to represent the randomness of the material and to generate RVEs with any volume fraction, from 0 to its highest theoretical value, i.e. π 3 √ 2 ≈ 0.74 and π √ 3 6 ≈ 0.91 for  ...  Composite Structures, 138, 84-95. https://doi.  ...  Acknowledgments The author would like to thank project NORTE-07-024-FEDER-000033 -Composite Materials, Structures and Processes, within the Portuguese Na-  ... 
doi:10.1016/j.compstruct.2015.11.039 fatcat:uki3gymuwjgl5nilqp4uad2kia

Combination effects of tissue heterogeneity and geometric targeting error in stereotactic body radiotherapy for lung cancer using CyberKnife

Ki Mun Kang, Bae Kwon Jeong, Hoon-Sik Choi, Seung Hoon Yoo, Ui-Jung Hwang, Young Kyung Lim, Hojin Jeong
2015 Journal of Applied Clinical Medical Physics  
These two kinds of plans for individual patients were then subsequently recalculated with adding systematic and random geometric errors.  ...  The treatment plans for eight lung cancer patients were calculated using effective path length (EPL) correction and Monte Carlo (MC) algorithms, with both having the same beam configuration for each patient  ...  All the doses and volumes, except for the prescription isodose line (Rx IDL), are given in percentage relative to the prescribed dose and the entire volumes of corresponding structures, respectively.  ... 
doi:10.1120/jacmp.v16i5.5397 pmid:26699300 pmcid:PMC5690167 fatcat:yjq3gidgtffqbd2s3tcezrpc4i

Spontaneous Emergence of Periodic Patterns in a Biologically Inspired Simulation of Photonic Structures

Alexander Gondarenko, Stefan Preble, Jacob Robinson, Long Chen, Hod Lipson, Michal Lipson
2006 Physical Review Letters  
The evolved structure has a Q of 300 and an ultrasmall modal volume of 0:112=2n 3 .  ...  generation based wavelength conversion [27], sharp turns in photonic crystal waveguides [28], and transitions between traditional index-guided and photonic crystal waveguides [29].  ...  The evolved structure has a Q of 300 and an ultrasmall modal volume of 0:112=2n 3 .  ... 
doi:10.1103/physrevlett.96.143904 pmid:16712077 fatcat:adnq6pdjwbcxhdlhlbvkc7ouba

Visualising energy landscapes through manifold learning [article]

Benjamin W. B. Shires, Chris J. Pickard
2021 arXiv   pre-print
Energy landscapes provide a conceptual framework for structure prediction, and a detailed understanding of their topological features is necessary to develop efficient methods for their exploration.  ...  Here we present Stochastic Hyperspace Embedding and Projection (SHEAP), a method for energy landscape visualisation inspired by state-of-the-art algorithms for dimensionality reduction through manifold  ...  ACKNOWLEDGMENTS We thank Daan Frenkel, Joseph Nelson, and Bonan Zhu for useful discussions.  ... 
arXiv:2111.07843v1 fatcat:lwnqpd6gebd4dkeqfx2k66jyna

The EigenfactorTM Metrics

C. T. Bergstrom, J. D. West, M. A. Wiseman
2008 Journal of Neuroscience  
She then proceeds to the journal that was cited, selects a random 2006 article from that journal and, as before, selects a citation to direct her to her next journal volume.  ...  volumes of literature.  ... 
doi:10.1523/jneurosci.0003-08.2008 pmid:18987179 fatcat:mwiuxmpaevfxjamu7yt75ra3by

A new approach to rapidly generate random periodic representative volume elements for microstructural assessment of high volume fraction composites

Geng Li, Farzad Sharifpour, Aram Bahmani, John Montesano
2018 Materials & design  
Detailed statistical analyses were conducted for assessing the ability to generate RVEs with nonuniformly dispersed microstructures and either constant or random inclusion sizes for a wide range of volume  ...  The versatile algorithm can rapidly generate RVEs with realistic reinforcement dispersions and high volume fractions up to 80%, which is advantageous compared to other algorithms.  ...  with (a) 30% Vf and random distribution, (b) 60% Vf and random distribution, and (c) 30% Vf and structured hexagonal distribution.  ... 
doi:10.1016/j.matdes.2018.04.031 fatcat:425lwxoffvhzpjirezntxuxohq

Integration of a Hybrid Method into an Efficient Reliability-Based Design Optimization Technique for Large Structures

Nader M. Okasha, Osama Ahmed Mohamed
2019 IOP Conference Series: Materials Science and Engineering  
The computational burden imposed by the repetitive and lengthy nature of the structural analyses of large structures has lead researches to continuously devise efficient methods for conducting their reliability  ...  The presence of a considerably large number of random variables in the reliability analyses of large structure is another issue that tends to slow down the design optimization problem.  ...  The optimum volume in the 3 groups case was found as 58691 in 3 and for the 10 groups was 56668 in 3 .  ... 
doi:10.1088/1757-899x/603/4/042039 fatcat:jmcphuhic5gt3iscvck5owbj7i

Learning and Searching Pseudo-Boolean Surrogate Functions from Small Samples

Kevin Swingler
2019 Evolutionary Computation  
This is done in approaches such as surrogate model-based optimisation, estimation of distribution algorithms, and linkage learning algorithms.  ...  The resulting models reveal linkage structure that can be used to guide a search of the model efficiently.  ...  Downloaded from http://direct.mit.edu/evco/article-pdf/28/2/317/1858835/evco_a_00257.pdf by guest on 12 October 2021 Evolutionary Computation Volume 28, Number 2 319 Evolutionary Computation Volume  ... 
doi:10.1162/evco_a_00257 pmid:31038355 fatcat:npmstgrpbrc5ndfwspd5ga2jqy

MSC volume 21 issue 2 Cover and Back matter

2011 Mathematical Structures in Computer Science  
for random combinatorial structures; the theory of algorithms (including complexity theory), randomised algorithms, probabilistic analysis of algorithms, computational learning theory and optimisation  ...  Topics covered include classical and algebraic graph theory, extremal set theory, matroid theory, probabilistic methods and random combinatorial structures; combinatorial probability and limit theorems  ... 
doi:10.1017/s0960129511000259 fatcat:wst7txgqxffqbfescb3q6v23yy

Finding available parking spaces made easy

Andreas Klappenecker, Hyunyoung Lee, Jennifer L. Welch
2014 Ad hoc networks  
Randomized distributed data structures and algorithms for improved fault-tolerance and efficiency. • Wireless Mobile Computing: Design and analysis of distributed algorithms for various problems in wireless  ...  Specification, implementation, and application of distributed shared data structures and their consistency models.  ...  Instructor for "High Level Programming in C", "Data Structures Using C", "Programming in Fortran", "Assembly Language Programming", and "Computer Architecture".  ... 
doi:10.1016/j.adhoc.2012.03.002 fatcat:q6heg6gnnrgmznlqed5gdvr2fe

Finding available parking spaces made easy

Andreas Klappenecker, Hyunyoung Lee, Jennifer L. Welch
2010 Proceedings of the 6th International Workshop on Foundations of Mobile Computing - DIALM-POMC '10  
Randomized distributed data structures and algorithms for improved fault-tolerance and efficiency. • Wireless Mobile Computing: Design and analysis of distributed algorithms for various problems in wireless  ...  Specification, implementation, and application of distributed shared data structures and their consistency models.  ...  Instructor for "High Level Programming in C", "Data Structures Using C", "Programming in Fortran", "Assembly Language Programming", and "Computer Architecture".  ... 
doi:10.1145/1860684.1860696 dblp:conf/dialm/KlappeneckerLW10 fatcat:3cafut6ufngwdenqyyrlf7zrmm

Simultaneous optimization of beam orientations and beam weights in conformal radiotherapy

Carl Graham Rowbottom, Vincent S. Khoo, Steve Webb
2001 Medical Physics (Lancaster)  
The use of random voxels in the dose calculation provides much of the required speed up in the optimization process, and allows the simultaneous optimization of beam orientations and beam weights in a  ...  In the implementation of the beam-weight optimization algorithm just 10% of the original patient voxels are used for the dose calculation and cost function evaluation.  ...  Schlegel and his group at the German Cancer Research Center, DKFZ-Heidelberg, for their collaboration and for supplying VIRTUOS.  ... 
doi:10.1118/1.1387274 pmid:11548939 fatcat:dkxah4aubnfsxbgouwd7qmwjlu

Applications of artificial intelligence in echocardiography

2020 Heart and metabolism : management of the coronary patient  
Research of, access to, and investment in AI-enhanced echocardiography has the potential to improve the diagnosis of cardiovascular disease (CVD), particularly in regional and remote areas, and allows  ...  AI improves the accuracy and reliability of echocardiographic measurements, reduces diagnostic errors, and minimizes interobserver variability.  ...  3D full- volume and 120 seconds with 2D biplane method Omar 2018 9 Convolutional neural network, random forest, and support- vector machines Classify between normal and abnormal wall motions  ... 
doi:10.31887/hm.2020.82/tmarwick fatcat:nsrlxj4gkzci7fuvu5lftpyrve

An Empirical Comparison of Classification Algorithms for Diagnosis of Depression from Brain SMRI Scans

Kuryati Kipli, Abbas Z. Kouzani, Yong Xiang
2013 2013 International Conference on Advanced Computer Science Applications and Technologies  
The algorithms are: Naïve Bayes, Support Vector Machines (SVM) with Radial Basis Function (RBF), SVM Sigmoid, J48, Random Forest, Random Tree, Voting Feature Intervals (VFI), LogitBoost, Simple KMeans  ...  To be diagnostically effective, structural magnetic resonance imaging (sMRI) must reliably distinguish a depressed individual from a healthy individual at individual scans level.  ...  The first author would like to acknowledge the Ministry of Higher Education Malaysia (MoHE) and Universiti Malaysia Sarawak (UNIMAS) for the financial support through the SLAB Ph.D. scholarship and Deakin  ... 
doi:10.1109/acsat.2013.72 fatcat:qs2hp6bvtvfi5hfgkwxh5xmem4

Word2vec convolutional neural networks for classification of news articles and tweets

Beakcheol Jang, Inhwan Kim, Jong Wook Kim, Paweł Pławiak
2019 PLoS ONE  
Using two word embedding algorithms of word2vec, Continuous Bag-of-Word (CBOW) and Skip-gram, we constructed CNN with the CBOW model and CNN with the Skip-gram model.  ...  However, collected news articles and tweets almost certainly contain data unnecessary for learning, and this disturbs accurate learning.  ...  Acknowledgments We thank the reviewers for his/her thorough review and highly appreciate the comments and suggestions, which significantly contributed to improving the quality of the publication.  ... 
doi:10.1371/journal.pone.0220976 pmid:31437181 pmcid:PMC6705863 fatcat:atodyvtomjgc3eqj7u3pimgwxu
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