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A fast symbolic computation approach to statistical analysis of mesh networks with multiple sources

Zhigang Hao, Guoyong Shi
2010 2010 15th Asia and South Pacific Design Automation Conference (ASP-DAC)  
moment for trees Symbolic moment for mesh Symbolic moment sensitivity Application to statistical timing analysis Future Work  ...  Lee et al, "Applications of tree/link partitioning for moment computations of general lumped RLC networks with resistor loops," in Proc. IEEE Int. Symp.  ...  Thanks for listening ! Thanks for listening !  ... 
doi:10.1109/aspdac.2010.5419852 dblp:conf/aspdac/HaoS10 fatcat:2lkyof26rbfbragozhlemwo5pq

On symbolic model order reduction

Guoyong Shi, Bo Hu, C.-J.R. Shi
2006 IEEE Transactions on Computer-Aided Design of Integrated Circuits and Systems  
Such symbolic reduced-order models can be repeatedly simulated with a greater efficiency for varying model parameters.  ...  Of special practical interest are models that have slightly varying parameters such as process related variations, for which efficient reduction procedures can be developed.  ...  ACKNOWLEDGMENT The authors would like to thank the three anonymous reviewers for their constructive comments.  ... 
doi:10.1109/tcad.2005.855887 fatcat:djrdo4ruwrc33e3hiarfzk6tlm

Interval-Valued Reduced-Order Statistical Interconnect Modeling

James D. Ma, Rob A. Rutenbar
2007 IEEE Transactions on Computer-Aided Design of Integrated Circuits and Systems  
Index Terms-Affine arithmetic, design-for-manufacturing, interconnect simulation, numerical analysis, statistical modeling.  ...  and, in particular, to predict the impact of statistical manufacturing variations on linear interconnect.  ...  Tiwary, who provided MATLAB versions of AWE and PRIMA for the comparisons; and L. Pileggi, X. Li, and Y. Zhan for helpful discussions on model-order reduction methods and process variations.  ... 
doi:10.1109/tcad.2007.895577 fatcat:35sltzupwzbmfkm27lghkdcxgu

Can RDoC Help Find Order in Thought Disorder?

Alex S. Cohen, Thanh P. Le, Taylor L. Fedechko, Brita Elvevåg
2017 Schizophrenia Bulletin  
paradigms, to allow naturalistic behavioral sampling techniques with unprecedented ecological validity; and computational modeling, to account for a network of interconnected and dynamic linguistic, cognitive  ...  Thought disorder likely does not occur as an isomorphic dysfunction in a single RDoC construct, but rather, as multiple potential dysfunctions in a network of RDoC constructs.  ...  Acknowledgments The authors wish to thank the anonymous reviewers, as well as Peter Foltz and Mark Rosenstein for their comments on previous drafts of this commentary.  ... 
doi:10.1093/schbul/sbx030 pmid:28398574 pmcid:PMC5463977 fatcat:wwvlijubcrbfzll4um4jdvwk4m

Page 2086 of Mathematical Reviews Vol. , Issue 88d [page]

1988 Mathematical Reviews  
Summary: “For an interconnection network, we introduce a graph- theoretic invariant called communication overlap—the number  ...  Symbolic Comput. 3 (1987), no. 3, 291-301.  ... 

Statistical Gate Level Simulation via Voltage Controlled Current Source Models

Bao Liu, Andrew Kahng
2006 2006 IEEE International Behavioral Modeling and Simulation Workshop  
Increasingly significant variability in DSM and nanometer scale VLSI designs calls for statistical analysis and optimization.  ...  We represent a variational voltage waveform of any shape by a time domain statistical variable, and compute variational gate output voltage waveform by time domain integration of statistical variables  ...  These correlations need to be addressed by either computation of a sufficient subset of higherorder correlations and higher-order moments of the variations, or by symbolic analysis techniques, e.g., affine  ... 
doi:10.1109/bmas.2006.283464 fatcat:2sh44lbeyjhkricp3ysjs6lk6a

Characterization of Visuomotor/Imaginary Movements in EEG: An Information Theory and Complex Network Approach

Roman Baravalle, Natalí Guisande, Mauro Granado, Osvaldo A. Rosso, Fernando Montani
2019 Frontiers in Physics  
nodes, can be very useful for early detection of neuronal diseases. 2 .FIGURE 2 | 22 FIGURE 2 | Network interconnectivity.  ...  In consequence, we establish the following statistical analysis protocol for the obtained results of closeness centrality: (a) we first perform a t-test between imagined and realized tasks for each of  ...  SUPPLEMENTARY MATERIAL The Supplementary Material for this article can be found online at: https://www.frontiersin.org/articles/10.3389/fphy. 2019.00115/full#supplementary-material Conflict of Interest  ... 
doi:10.3389/fphy.2019.00115 fatcat:hsbozd4kofc35di33l2b6v2c6u

Hierarchical Krylov subspace based reduction of large interconnects

Duo Li, Sheldon X.-D. Tan, Lifeng Wu
2009 Integration  
The proposed method is suitable for reducing large global interconnects like coupled bus, transmission lines, large clock nets in the post-layout stage.  ...  The new approach, called hiePrimor, first partitions a large interconnect circuit into a number of smaller subcircuits and then performs the projection-based model order reduction on each of subcircuits  ...  He also co-authored book ''Symbolic Analysis and Reduction of VLSI Circuits'' published by Springer/Kluwer 2005 and Advanced Model Order Reduction Techniques for VLSI Designs, published by Cambridge University  ... 
doi:10.1016/j.vlsi.2008.06.004 fatcat:pqk2pix3c5awlagdkrcifydcju

Development of an Innovative Tool Wear Monitoring System for Zero-Defect Manufacturing

Eric Dimla
2016 International Journal of Mechanical Engineering and Robotics Research  
and intelligent computational methods.  ...  The adaptive control system connected with the machine tool will use the tool wear information in order to determine the most appropriate moment for tool change while balancing maximum workpiece quality  ...  Stepwise regression methods are supported by statistical concepts like regression analysis.  ... 
doi:10.18178/ijmerr.7.3.305-312 fatcat:5yd6amgpd5f7zg2wnpamehwzse

New trends on digitisation of complex engineering drawings

Carlos Francisco Moreno-García, Eyad Elyan, Chrisina Jayne
2018 Neural computing & applications (Print)  
Despite the recent significant advances in image processing, and in particular in deep neural networks, automatic analysis and processing of these engineering drawings is still far from being complete.  ...  This is mainly due to the legacy of drawings and documents that may provide rich source of information for industries.  ...  Brian Bain from DNV-GL Aberdeen for his feedback and collaboration in the project. This work is supported by a Scottish national project granted by the Data Lab Innovation Centre.  ... 
doi:10.1007/s00521-018-3583-1 fatcat:uel7divnvnb7fipqlelijrhmmq

An interactive online atlas of interconnected network maps based on the NaviCell platform

Julio Saez-Rodriguez, Rosa Hernansaiz, Vincent Noël, Inna Kuperstein, Jean-Marie Ravel, Andrei Zinovyev
2021 Zenodo  
This is the accepted iPC deliverable D4.2 "An interactive online atlas of interconnected network maps based on the NaviCell platform".  ...  With the development of the NaviCell 3.0 web server, there is a complete and automated web-based infrastructure for hosting molecular maps, patient similarity network maps, and multi-omics datasets for  ...  Thus, networks of statistical associations between molecular profiles were computed by aggregating multiple methods.  ... 
doi:10.5281/zenodo.6546372 fatcat:56c3fl5hcraknjxebgpgm3wsly

Is the study of fungal shape still useful?

Ecaterina Fodor
2018 Journal of Bacteriology & Mycology Open Access  
PCA, principal component analysis; MANOVA, multivariate analysis of variance; CDA, canonical discriminat analysis; CVA, canonical variate analysis; ANOVA, analysis of variance; ESA, eigenshape analysis  ...  In this review, different methods employed in fungal shape analysis from fractals, Lindenmayer systems, networks to geometric morphometrics and machine learning were presented.  ...  Conflict of interest There is no conflicts to publish our article in this Journal.  ... 
doi:10.15406/jbmoa.2018.06.00180 fatcat:pkzkk5w4eve5xjjutudpxssuci

Toward Flexible Intelligence: MITI's New Program of Real World Computing

Nobuyuki Otsu
1993 International Joint Conference on Artificial Intelligence  
The outline and concepts of the new 10 year Japanese project called "Real World Computing program" will be introduced.  ...  It is the successor to the Fifth Generation Computer project and aims at theoretical and technological foundation for human-like flexible information processing and intelligence toward the highly information-based  ...  data analysis, etc. • Learning/self-organization and optimization methods: statistical learning, multivariate data analysis, neurocomputing, GA, etc.  ... 
dblp:conf/ijcai/Otsu93 fatcat:zor24527ufe3rfbm5yuz53qnoa

Bridge damage detection using spatiotemporal patterns extracted from dense sensor network

Chao Liu, Yongqiang Gong, Simon Laflamme, Brent Phares, Soumik Sarkar
2016 Measurement science and technology  
work flow for bridge networks.  ...  In this work, a spatiotemporal pattern network (STPN) strategy built on symbolic dynamic filtering (SDF) is proposed to explore spatiotemporal behaviors in a bridge network.  ...  This includes the concept of system of systems, where a set of DSNs is interconnected in a given network to provide measurements enabling SHM of the network itself.  ... 
doi:10.1088/1361-6501/28/1/014011 fatcat:ny5jaui7kfai5khxn3tsg3goim

Fractal Networks of Real Worlds of Fluorescing DNA in Complete Set of Chromosomes inside Blood Cells for Medical Diagnostics

Nikolay E. Galich
2013 Open Journal of Biophysics  
Analysis of various blood samples in vivo and during medical treatment had shown that only two classes of Good and Bad Networks of DNA for a good and a bad health existed.  ...  This division is defined by any network to one from two classes of "n" or "s" shaped curves for typical deviations and from straight line in perfect networks of "exponentially small worlds", as for two  ...  This dual or bistable behavior interconnected with two dominant types of positive and negative statistical stability for large-scale activity of fluorescing DNA [3] .  ... 
doi:10.4236/ojbiphy.2013.34029 fatcat:tesnx2habba3bmovlix7wp6vzq
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