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A Novel Information Theoretical Criterion for Climate Network Construction
2020
Symmetry
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Furthermore, it is shown that the climate network construction method facilitates the evaluation of symmetry properties in the resulting complex networks. ...
This paper presents a novel methodology for Climate Networkconstruction based on the Kullback-Leibler divergenceamong Membership Probabilitydistributions, obtained from the Second Order Data-Coupled Clusteringalgorithm ...
This paper presents a novel methodology for Climate Network (CN) construction based on the Kullback-Leibler divergence (KLD) among Membership Probability (MP) distributions, obtained from the Second Order ...
doi:10.3390/sym12091500
fatcat:kwlssqfc4jfgnhpmwrdyli4vve
Reliability of Inference of Directed Climate Networks Using Conditional Mutual Information
2013
Entropy
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For geophysical systems such as global climate, these relations are commonly not theoretically known but estimated from recorded data using causality analysis methods. ...
Such dynamical complex systems can be represented by a directed graph, where each link denotes an existence of a causal relation, or information exchange between the nodes. ...
We thank our anonymous reviewers for their thorough evaluation and constructive recommendations for improving the manuscript. ...
doi:10.3390/e15062023
fatcat:4psfolrbxbbx3gfqm2mn7x3dbi
Granular computing, computational intelligence, and the analysis of non-geometric input spaces
2015
Granular Computing
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As a conclusion, we elaborate over the fundamental, conceptual problems underlying the process of data granulation, which drive the quest for a sound theory of granular computing. ...
Data granulation emerged as an important paradigm in modeling and computing with uncertainty, exploiting information granules as the main mathematical constructs involved in the context of granular computing ...
We highlight two specific aspects in this paper: the (novel) interpretation of information granules as patterns (Sect. 3.1) and the challenge of designing a criterion for synthesizing information granules ...
doi:10.1007/s41066-015-0003-0
fatcat:3comtfxeobda3ofim5qmuomg6i
Creativity in Early and Established Career: Insights into Multi-Level Drivers from Nobel Prize Winners
2014
The Journal of creative behavior
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Other research by McCrae and Costa (1997) argues that those individuals that have a tendency to combine divergent pieces of information also have a tendency to seek out novel, unfamiliar situations. ...
Fornell and Larcker (1981) higher on the construct that it is supposed to measure than on any other construct (Carmines & Zeller, 1979) . All items in the study met this criterion. ...
doi:10.1002/jocb.70
fatcat:7xioipnpazbmzhnhvki33c6654
Measuring Fuel Poverty in Italy: A Comparison between Different Indicators
2019
Sustainability
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The Italian case is peculiar, in terms of climatic conditions (encompassing a very broad range of conditions), dwelling types (in terms of construction periods and urban areas), and the many socio-demographic ...
The obtained results are of practical importance and provide a rational basis for policy-makers when planning strategies to tackle the incidence of fuel poverty in Italy. ...
perspectives: (a) Looking at the most vulnerable clusters for a given criterion and (b) looking at the most critical criterion for a given cluster. ...
doi:10.3390/su11102732
fatcat:h2bw4ik54vfqxivlpm3bpdmigm
Unified functional network and nonlinear time series analysis for complex systems science: The pyunicorn package
2015
Chaos
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It allows for the construction of functional networks such as climate networks in climatology or functional brain networks in neuroscience representing the structure of statistical interrelationships in ...
analysis (RQA), recurrence networks, visibility graphs and construction of surrogate time series. ...
Education and Research (BMBF) via the Potsdam Research Cluster for Georisk Analysis, Environmental Change and Sustainability ...
doi:10.1063/1.4934554
pmid:26627561
fatcat:qarrincgjnd4bfo2rurr4lj6ym
How complex climate networks complement eigen techniques for the statistical analysis of climatological data
2015
Climate Dynamics
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2014 pre-print arXiv:1305.6634v2 fatcat:dlz3auttxbbzfjwcmgwaos25cqOther Versions
This climate network (CN) analysis is usually based on the same set of similarity matrices as is used in classical EOF or CP analysis, e.g., the correlation matrix of a single climatological field or the ...
Hence, CNs are a valuable supplement to the statistical toolbox of the climatologist, particularly for making sense out of very large data sets such as those generated by satellite observations and climate ...
For climate network analysis, the software package pyunicorn was used that is available at http://tocsy.pik-potsdam.de/pyunicorn.php . We thank Reik V. ...
doi:10.1007/s00382-015-2479-3
fatcat:oqdb5j75q5b5hodfieayq3y2eq
A Simple Framework for Climate-Change Policy Under Model Uncertainty
2017
Social Science Research Network
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We propose a novel framework for the economic assessment of climatechange policy. ...
We apply this decision criterion to probability distributions constructed by Drouet et al. (2015) linking carbon budgets to future consumption. ...
Application In this section we apply the decision-theoretic criterion of Eq. (5) to climate-change data from Drouet et al. [14] . ...
doi:10.2139/ssrn.2945341
fatcat:2ffnfm32tjcflj62m54e4ghkw4
Causality in Reversed Time Series: Reversed or Conserved?
2021
Entropy
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We start with a theoretical analysis that demonstrates that a perfect coupling reversal under time reversal occurs only under very specific conditions, followed up by constructing low-dimensional examples ...
Finally, simulations of random as well as realistically motivated network coupling patterns from brain and climate show that level of coupling reversal and conservation can be well predicted by asymmetry ...
Acknowledgments: We thank Nikola Jajcay, David Hartman, and David Tomecek for valuable help with example data preparation. ...
doi:10.3390/e23081067
fatcat:2o5ro7cwgve2fi3r2fpr7uyswi
Conceptual Models as Hypotheses in Monitoring Urban Landscapes
2007
Environmental Management
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Academics generally prefer a bottomup approach to model construction that emphasizes ecologic theory and process, whereas managers often use a top-down approach that takes advantage of existing information ...
An example application of the process to a network of national parks in and around Washington, DC illustrates the ability of the approach to systematically identify monitoring data that would both advance ...
The symbols for Figure 5 are courtesy of the Integration and Application Network (ian.umces.edu/symbols), University of Maryland Center for Environmental Science. ...
doi:10.1007/s00267-005-0246-7
pmid:17562105
fatcat:4xzs3k3n5nfyrmtxiq377vbqi4
Forecasting Daily Water Consumption: a Case Study in Torun, Poland
2018
Periodica polytechnica. Civil engineering
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and humidity forecast for a given day, which are considered as independent variables. ...
This paper presents Artificial Neural Network (ANN) and Multiple Linear Regression (MLR) methods for predicting future daily water consumption values based on three antecedent records of water consumption ...
The authors thank the IT Specialists from TWC for assistance in obtaining these data. ...
doi:10.3311/ppci.11930
fatcat:lrbqjnsov5e3jlvx43ijwque2i
A New Fuzzy Impulsive Control of Chaotic Systems Based on T–S Fuzzy Model
2011
IEEE transactions on fuzzy systems
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Then, a novel impulsive control scheme is presented for chaotic systems based on the T-S fuzzy model. Some sufficient conditions are given to stabilize the T-S fuzzy model. ...
The stability issue of the general nonlinear impulsive control system is first investigated via comparison criterion. ...
In [32] , a unified synchronization criterion for impulsive dynamical networks has been presented. ...
doi:10.1109/tfuzz.2010.2090162
fatcat:o2jzoeq5i5axretex3mghthsdm
Optimizing Artificial Neural Networks For The Evaluation Of Asphalt Pavement Structural Performance
2019
Baltic Journal of Road and Bridge Engineering
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However, the architecture of such an Artificial Neural Network must be optimised, to improve the final accuracy and provide a reliable technique for enriching decision-making tools. ...
It is conceivable that defining a proper Artificial Neural Network for estimating structural performance in asphalt pavements from measurements performed through quick and economic surveys produces significant ...
In addition to these base factors, two novel factors, with a considerable theoretical influence on the structural performance, have also been included in the dataset, for further analysis and investigation ...
doi:10.7250/bjrbe.2019-14.433
fatcat:a5hveknoijf63joeb6wrns2nku
Best Fit and Selection of Theoretical Flood Frequency Distributions Based on Different Runoff Generation Mechanisms
2010
Water
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We used two theoretically derived distributions of flood peak annual maxima: the first is the -IF‖ distribution, which exploits the variable source area concept, coupled with a runoff threshold having ...
By focusing on the application of both models to two river basins, of sub-humid and semi-arid climate in Southern Italy, we present an ad hoc procedure for the estimation of parameters and we discuss the ...
Acknowledgements The Authors are grateful to two anonymous reviewers for their appropriate and useful comments. ...
doi:10.3390/w2020239
fatcat:j4bn6vqc5vau7mcteamnuvmk5q
A Proposal for Examining Factors Leading to Knowledge Equity
2008
Proceedings of the 41st Annual Hawaii International Conference on System Sciences (HICSS 2008)
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The project emphasizes a structured approach for examining knowledge equity aiming to provide significant theoretical contributions regarding the role of knowledge equity in organizations. ...
Specifically, the goal of the study is to establish a theoretical foundation on knowledge equity and determine the role of knowledge equity plays in organizations. ...
When organizations create a positive organizational climate they encourage a climate for initiative [5] . ...
doi:10.1109/hicss.2008.32
dblp:conf/hicss/CroasdellMAB08
fatcat:kecjzekybjdwhecjjd5ndzvbki
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