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Management of energy/environment systems. Methods and case studies

1980 Environmental Pollution Series B Chemical and Physical  
It arises from ajoint study by east and west of three regional energy/ environment systems with very different political, economic, and social frameworks; these are the German Democratic Republic, the  ...  Rhone-Alpes region of France, and Wisconsin in the United States of America.  ...  More detailed descriptions of some of the individual contributions can be found in the references and in other publications resulting from the study.  ... 
doi:10.1016/0143-148x(80)90035-x fatcat:2chsp4gmundenfwzgk7lxt54b4

Automatic Inference of Finite-State Plant Models From Traces and Temporal Properties

Igor Buzhinsky, Valeriy Vyatkin
2017 IEEE Transactions on Industrial Informatics  
The proposed method, which is based on the translation of the problem to the Boolean satisfiability problem, is evaluated and shown to be applicable on several case study plant model synthesis tasks and  ...  To be applied, it needs the controller and the plant formal models to be coupled. There are approaches for controller synthesis, but little has been done regarding plant model construction.  ...  We thank Antti Pakonen from VTT Technical Research Centre of Finland for formal modeling of the control logic of the generic PWR model.  ... 
doi:10.1109/tii.2017.2670146 fatcat:e4nnkybsyzavpeb6m6pijd52eq

Statistical physics of inference: thresholds and algorithms

Lenka Zdeborová, Florent Krzakala
2016 Advances in Physics  
formulated as an inference problem we call the planted spin glass.  ...  Connection between inference and statistical physics is currently witnessing an impressive renaissance and we review here the current state-of-the-art, with a pedagogical focus on the Ising model which  ...  Finally, we also wish to thank Alena and Julie for their continuous support and for letting us work, if only from time to time, on this review.  ... 
doi:10.1080/00018732.2016.1211393 fatcat:sobocrcytvd3hhefrce6ykkvse

Inferring Leaf Blade Development from Examples [chapter]

María Escobar, Mary Berdugo, Orlando Rangel-Ch, Francisco Gómez
2015 Lecture Notes in Computer Science  
The results show that the proposed method is able properly infer leaf blade parameters of leaf development for a variety of leaf shapes, both in simulated and real sequences.  ...  Morphogenesis is the process by which plant tissues are organized and differentiated to determine the morphological structure of their organs.  ...  This work was supported by the projects Platform and Architecture for the representation and data analytics of Páramo leaves morhpology (PARAMO) and the Cluster in Convergent Technologies from U.  ... 
doi:10.1007/978-3-319-25751-8_4 fatcat:k5swp7yeffdh5bcbbf2iinrhye

Triangulation between case study and survey methods in management accounting research: An assessment of validity implications

Sven Modell
2005 Management Accounting Research  
An argument is advanced for combining elements of these approaches in a more balanced fashion within coherent research programmes based on multiple iterations between case study and survey methods to enable  ...  This paper provides a comparative review of management accounting research relying on triangulation between case study and survey methods with specific reference to the emerging validity implications.  ...  on Accounting conference, Madrid, 2003, and workshops held at Jönköping International Business School, the Royal Institute of Technology and Curtin University of Technology.  ... 
doi:10.1016/j.mar.2005.03.001 fatcat:b6tgn2lfsvhfhgvjyvrmsuhn3y

Planning as inference

Matthew Botvinick, Marc Toussaint
2012 Trends in Cognitive Sciences  
Although the study of such tasks has yielded important insights, it stops short of the more general problem, which centers on the generic goal of reward maximization.  ...  PAI in machine learning and robotics The seeds of PAI were planted in artificial intelligence and machine learning research as early as the 1980s (for this background, see [4, 5] ).  ...  Solway and Botvinick [5] pointed out the formal similarity between the role of iterative inference in PAI and its role in contemporary drift-diffusion models of perceptual decision-making [11] ,  ... 
doi:10.1016/j.tics.2012.08.006 pmid:22940577 fatcat:4tf4kbeu5vd3bjyzitlzyvnl2y

The Input of DNA Sequences to Animal Systematics: Rodents as Study Cases [chapter]

Laurent Granjon, Claudine Montgelar
2012 DNA Sequencing - Methods and Applications  
The second problem concerned the methods used for phylogenetic inferences.  ...  The advent of probabilistic methods (Maximum likelihood and Bayesian inference) based on explicit models of sequence evolution greatly improved tree reconstructions (see Felsenstein, 2004) .  ...  The Input of DNA Sequences to Animal Systematics: Rodents as Study Cases, DNA Sequencing -Methods and Applications, Dr.  ... 
doi:10.5772/37969 fatcat:yjakdhhbpzhvhfhfc7y57m3xba

An empirical method that separates irreversible stem radial growth from bark water content changes in trees: theory and case studies

Maurizio Mencuccini, Yann Salmon, Patrick Mitchell, Teemu Hölttä, Brendan Choat, Patrick Meir, Anthony O'Grady, David Tissue, Roman Zweifel, Sanna Sevanto, Sebastian Pfautsch
2017 Plant, Cell and Environment  
We tested this method using data from five case study species.  ...  Patterns of stem radial growth varied across case studies, with growth occurring during the day and/or night, consistent with the available literature.  ...  We are in particular grateful to Marcus Schaub, Andreas Rigling and Peter Bleuler for giving access to the experimental site and relevant data in Pfynwald.  ... 
doi:10.1111/pce.12863 pmid:27861997 fatcat:mkzjvgealrdo7fhqd76sqsgwva

Modeling of Energy Consumption and Reduction of Pollutant Emissions in a Walking Beam Furnace Using the Expert Method—Case Study

Mariusz Niekurzak, Jerzy Mikulik
2021 Energies  
This paper presents an algorithm for modeling electricity and natural gas consumption in a walking furnace with the use of artificial intelligence and simulation methods, depending on the length of the  ...  Thanks to this representation of the model, its user can interactively participate in changes that take place in the model and thus evaluate its behavior.  ...  Thanks to this feature, the modeler possesses the ability to stop the ongoing simulation, to trace parameters and fragments of the model that are of interest, and restart the simulation.  ... 
doi:10.3390/en14238099 fatcat:avxob3tfnnhvzpe66xxmwdgwzi

INFERRING FITNESS LANDSCAPES

Ruth G. Shaw, Charles J. Geyer
2010 Evolution  
Information criteria and 319 B&B are both rigorously justified methods that are regularly employed, for example, in 320 phylogenetic inference when many taxa are under consideration (Felsenstein 2004).  ...  The study of selection 43 in nature expanded rapidly only when Lande and Arnold (1983) presented their method 44 using multiple regression to characterize natural selection and argued that the resulting  ...  A 284 long established method for comparing two models is the likelihood ratio, but its use is 285 restricted to the case when the smaller model is derived from the larger by fixing some 286 parameter  ... 
doi:10.1111/j.1558-5646.2010.01010.x pmid:20456492 fatcat:pe65abrkhfcl5jsktdxnlvz6u4

Typology of phase transitions in Bayesian inference problems

Federico Ricci-Tersenghi, Guilhem Semerjian, Lenka Zdeborová
2019 Physical review. E  
These expansions shed light on the existence of hybrid-hard phases, for a large class of planted constraint satisfaction problems, and on the question of the tightness of the Kesten-Stigum (KS) bound for  ...  Many inference problems, notably the stochastic block model (SBM) that generates a random graph with a hidden community structure, undergo phase transitions as a function of the signal-to-noise ratio,  ...  Acknowledgment We would like to thank Andrea Montanari for discussions about the asymmetric SBM with 2 communities, Amin Coja-Oghlan for useful discussions, in particular about [25] , and Florent Krzakala  ... 
doi:10.1103/physreve.99.042109 fatcat:4whnqjns6baj3odandczn3m5cy

Archaeological Inference and Inductive Confirmation

Bruce D. Smith
1977 American Anthropologist  
While the H-A method can be viewed as an expansion and refinement of the more general model described by W.  ...  In discussing the now well known case study by William Longacre (1963, 1968, 1970) involving the proposed causal link between a hypothesized pattern of matrilocal residence and an inductively inferred  ... 
doi:10.1525/aa.1977.79.3.02a00040 fatcat:getei3rmffdjrlvmjyih4yw45a

Statistical Inference on the Mechanisms of Genome Evolution

Michael Lynch, Nancy A. Moran
2011 PLoS Genetics  
genetics [19] and phylogenetic inference [20] .  ...  Although all traces of ancestral p s values have been erased many times over for the taxa in this study, one could perhaps still argue that some shared history remains with respect to the underlying population  ... 
doi:10.1371/journal.pgen.1001389 pmid:21695228 pmcid:PMC3111481 fatcat:7worxsgkyfgcpoixltb2ls56pi

New Techniques for Inferring L-Systems Using Genetic Algorithm [article]

Jason Bernard, Ian McQuillan
2017 arXiv   pre-print
This paper introduces the Plant Model Inference Tool (PMIT) that infers deterministic context-free L-systems from an initial sequence of strings generated by the system using a genetic algorithm.  ...  The L-system inference problem is to find an L-system to simulate a given plant.  ...  He devised a method that uses solutions to Diophantine equations to, in many cases, find a D0L-system that starts by generating the input strings.  ... 
arXiv:1712.00180v2 fatcat:ak6rrbwudngdfodgcmojbiwe3q

Causal Inference by Compression

Kailash Budhathoki, Jilles Vreeken
2016 2016 IEEE 16th International Conference on Data Mining (ICDM)  
These methods, however, focus specifically on numeric data, and are not applicable on discrete nominal or binary data. In this work, we focus on causal inference for binary data.  ...  To apply the framework in practice, we propose ORIGO, an efficient method for inferring the causal direction from binary data.  ...  ACKNOWLEDGEMENTS Kailash Budhathoki is supported by the International Max Planck Research School for Computer Science (IMPRS-CS).  ... 
doi:10.1109/icdm.2016.0015 dblp:conf/icdm/BudhathokiV16 fatcat:fecaxkntn5d75ggwgmlts5xpba
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