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On Flow Maldistribution in PEMFC Stacks

Jinshi Wang, Junjie Yan, Jinliang Yuan, Bengt Sundén
2011 International Journal of Green Energy  
PEM fuel cell stacks are widely studied for their own advantages. The flow maidistribution during unit cells may severely influence the fuel cell stack performance.  ...  So it is necessary to review and summarize the previous concerned papers, and try to get some methods or guidelines for reducing the flow maldistribution in channels of PEMFC stack.  ...  Fig.6 Same functions of cell number for a Z-Type manifolded stack on the same condition[5]. Fig. 7 . 7 Conventional common manifold stack fuel configuration and photo [10] .  ... 
doi:10.1080/15435075.2011.576288 fatcat:hum6g4ac55gqlade5wvmzvfn7q

Page 2207 of Mathematical Reviews Vol. , Issue 97D [page]

1997 Mathematical Reviews  
Both num- bers are expressed as integrals of certain Chern classes over the stack @o,(P",d[P']) (k = 3d —1,n=2 for plane curves and k = 0,n = 4 for quintics).  ...  He outlines a proof of algebraicity of 4,x(V,B) and points out the smoothness of #o,(V,8) for a class of manifolds including homogeneous projective manifolds.  ... 

Humidifying system design of PEMFC test platform based on the mixture of dry and wet air

Ma Tiancai, Xu Shi, Zhu Dong, Gu Rongxin, P. Tandon, M. Guo
2015 MATEC Web of Conferences  
Air supplied for cathode and stack output power of fuel cell used in vehicle vary quickly, which requires that the air supply system of test platform should achieve accurate control and quick response  ...  Table 3 shows the contrast of theoretical mix results and actual mix results.  ... 
doi:10.1051/matecconf/20153406006 fatcat:tjg6x37hdzgdjb672bf63mlooe

Conformal retrofitting via Riemannian manifolds: distilling task-specific graphs into pretrained embeddings [article]

Justin Dieter, Arun Tejasvi Chaganty
2020 arXiv   pre-print
Through experiments on WordNet, we demonstrate that the conformality regularizer prevents even existing (Euclidean-only) methods from overfitting on link prediction for missing entities, and---together  ...  We address these problems with two key contributions: (i) we propose a novel regularizer, a conformality regularizer, that preserves local geometry from the pretrained embeddings---enabling generalization  ...  Overall, we find that conformality plays a larger role for mixed manifolds, particularly for those containing a hyperbolic component.  ... 
arXiv:2010.04842v1 fatcat:miqno2kjhng2roup6d5mabgzta

Global shifted potentials for moduli stacks of sheaves on Calabi-Yau four-folds [article]

Dennis Borisov, Ludmil Katzarkov, Artan Sheshmani, Shing-Tung Yau
2022 arXiv   pre-print
Dividing by these distributions produces perfectly obstructed smooth stacks with globally defined -1-shifted potentials, whose derived critical loci give back the stable loci of smooth stacks of sheaves  ...  It is shown that there are globally defined Lagrangian distributions on the stable loci of derived Quot-stacks of coherent sheaves on Calabi–Yau four-folds.  ...  @k ě p, O X ' n p´mq is k-regular as well as any F as above, and the kernel of O X ' n p´mq F.  ... 
arXiv:2007.13194v2 fatcat:ig2drebc75ht7pv6n2vvwx7uua

Graph based manifold regularized deep neural networks for automatic speech recognition [article]

Vikrant Singh Tomar, Richard C. Rose
2016 arXiv   pre-print
Manifold regularization is applied to train bottleneck DNNs for feature extraction in hidden Markov model (HMM) based speech recognition.  ...  This paper presents an effective way of training DNNs using a manifold learning based regularization framework.  ...  Acknowledgements The authors thank Nuance Foundation for providing financial support for this project. The experiments were conducted on the Calcul-Quebec and Compute-Canada supercomputing clusters.  ... 
arXiv:1606.05925v1 fatcat:emr6vsrpvvbfzelgmcfn5k2r3y

Dispersing Billiards with Moving Scatterers

Mikko Stenlund, Lai-Sang Young, Hongkun Zhang
2013 Communications in Mathematical Physics  
Our main result is the exponential loss of memory of initial data at uniform rates, and our proof consists of a coupling argument for non-stationary compositions of maps similar to classical billiard maps  ...  Similarly, the F n -image of a measured unstable stack is the union of measured unstable stacks, and by Lemmas 8 and 13, regular measured unstable stacks are mapped to unions of regular measured unstable  ...  (ii) The unstable stack ∪ α∈E W α is said to be regular if each W α is regular as an unstable curve.  ... 
doi:10.1007/s00220-013-1746-6 fatcat:imho4jqjgrc3fgh3z666vyzcoa

Page 2355 of Mathematical Reviews Vol. , Issue 99d [page]

1991 Mathematical Reviews  
To deal with the bad loci the author uses regularized bundles which come for each s € S witha reduction of the structure group G to the centralizer of a regular element.  ...  mirror dual manifolds should be true.  ... 

Parametrized geometric cobordism and smooth Thom stacks [article]

Daniel Grady, Hisham Sati
2017 arXiv   pre-print
The theory has the feature of being both versatile and general, allowing for the inclusion of families of various geometric data, such as metrics on manifolds and connections on vector bundles, as in recent  ...  We develop a theory of parametrized geometric cobordism by introducing smooth Thom stacks.  ...  We will say that the map f is regular if for all α such that f α : U α Ñ D N {BD N factor through D N , 0 P D N is a regular value of the smooth function f α .  ... 
arXiv:1709.00686v1 fatcat:lwymim4itrbvle4nog2tr5wjjy

Interpolation Consistency Training for Semi-supervised Learning

Vikas Verma, Alex Lamb, Juho Kannala, Yoshua Bengio, David Lopez-Paz
2019 Proceedings of the Twenty-Eighth International Joint Conference on Artificial Intelligence  
We introduce Interpolation Consistency Training (ICT), a simple and computation efficient algorithm for training Deep Neural Networks in the semi-supervised learning paradigm.  ...  There exist many future directions to be explored along the mixing based methods. For example, in Manifold Mixup, we randomly selected the mixing coefficient λ and the layer for mixing.  ...  Moreover, understanding the interaction of Manifold Mixup with other popular regularizers such as BatchNorm and Dropout can shed light on whether these regularizers are complementary to Manifold Mixup  ... 
doi:10.24963/ijcai.2019/504 dblp:conf/ijcai/VermaLKBL19 fatcat:bucjagfaybei5boup7b56yqngu

Derived stacks in symplectic geometry [article]

Damien Calaque
2018 arXiv   pre-print
Our goal is to explain how derived stacks can be useful for ordinary symplectic geometry, with an emphasis on examples coming from classical topological field theories.  ...  This is a survey paper on derived symplectic geometry, that will appear as a chapter contribution to the book "New Spaces for Mathematics and Physics", edited by Mathieu Anel and Gabriel Catren.  ...  Acknowledgements First of all I warmly thank Mathieu Anel for the many discussions we had about derived stacks in symplectic geometry (and plenty other topics).  ... 
arXiv:1802.09643v1 fatcat:eqhlybtdmjcpfcoydhiwm6bss4

Gaussian Copula Variational Autoencoders for Mixed Data [article]

Suwon Suh, Seungjin Choi
2016 arXiv   pre-print
As in VAE-ROC, we use the rank-one approximation for the covariance in the Gaussian copula, to capture the local dependency structure in the mixed data.  ...  Then we extend the VAE-ROC to handle mixed categorical and continuous data.  ...  However, we are treating a mixed variate dataset, which brings the following kernel density estimator for mixed variate dataset ( mixed with continuous and discrete variables ) [22] : p([x c , x s ])  ... 
arXiv:1604.04960v1 fatcat:lcxjmigsuvf3noo4yt3vkbuubu

Smooth 2D manifold extraction from 3D image stack

Asm Shihavuddin, Sreetama Basu, Elton Rexhepaj, Felipe Delestro, Nikita Menezes, Séverine M Sigoillot, Elaine Del Nery, Fekrije Selimi, Nathalie Spassky, Auguste Genovesio
2017 Nature Communications  
Here we propose smooth manifold extraction, an algorithm that produces a continuous focused 2D extraction from a 3D volume, hence preserving local spatial relationships.  ...  We provide a parameter-free ImageJ/Fiji plugin that allows 2D visualization and interpretation of 3D image stacks with maximum accuracy.  ...  Acknowledgements We thank Adel Al Jord, Morgane Thion and Sandrine Humbert for providing some of the data sets and Mary Ann Letellier for helpful comments on the manuscript. We thank Agence  ... 
doi:10.1038/ncomms15554 pmid:28561033 pmcid:PMC5499208 fatcat:2pivxz6wazaxxo6hj5rnmayzey

The Teichmüller and Riemann moduli stacks

Laurent Meersseman
2019 Journal de l'École polytechnique. Mathématiques  
The main point is how to mix the holonomies of the different foliations. We refer to Section 7 for comparison. We start with a regular atlas U .  ...  But in order to mix these holonomies, we first add some charts with common transversal for different foliations.  ... 
doi:10.5802/jep.108 fatcat:3cafk7zugzeq7awqdlrwyufosu

Better Mixing via Deep Representations [article]

Yoshua Bengio, Grégoire Mesnil, Yann Dauphin, Salah Rifai
2012 arXiv   pre-print
Consequently, mixing would be more efficient at higher levels of representation.  ...  To better understand why and how this is happening, we propose a secondary conjecture: the higher-level samples fill more uniformly the space they occupy and the high-density manifolds tend to unfold when  ...  Mixing is therefore initially easy for such poor models.  ... 
arXiv:1207.4404v1 fatcat:bj5aduynvfcx5ltomb5tfzdqnq
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