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Ecological inference (EI) is a classical problem from political science to model voting behavior of individuals given only aggregate election results. Flaxman et al. recently formulated EI as machine learning problem using distribution regression, and applied it to analyze US presidential elections. However, distribution regression unnecessarily aggregates individual-level covariates available from...
Big data analysis has been pervasively adopted as a method to analyze the tremendous amount of daily generated high throughput data in an efficient and accurate manner. Among the series of tools available in the field of big biomedical data, correlation networks are one of the most powerful tools for modelling gene expression, which is important in the study of disease and ageing. With the help of...
This paper presents a chaotic analysis method based on adjacent data dependence, which is based on the distance change between adjacent data. The method converts complex one-dimensional raw data columns into new adjacent distance value sequences to avoid phase space reconstruction. In this paper, several typical chaotic models are analyzed to illustrate the effectiveness of the proposed method. Finally,...
In August 2017 under the auspices of the International Union of Physiological Sciences (IUPS), we will launch a new journal: Physiome. The goal of Physiome is to promote, encourage, and support the wide-spread adoption of technologies and workflows that generally improve the ability of scientists to discover existing computational models which are relevant to their work, reproduce the predictions...
Hardware-in-the-Loop (HIL) is a well-established concept for developing and testing embedded systems. While it is widely used in industrial automation and the automotive area, it is rarely applied to Building Automation Systems (BAS). This work proposes the interconnection of a prominent building automation protocol, namely Building Automation and Control network (BACnet), and a simulator, PowerDEVS,...
Leukemia commonly leads to hypoxia in the bone marrow, which can then result in increased resistance to chemotherapy. However, the relationship between local hypoxia and disease progression is not well understood, and it is unclear whether hypoxia in the bone marrow is diffuse or focal in presentation. Spectroscopic photoacoustic (PA) imaging-based estimation of blood oxygen saturation (SO2) can be...
In the paper, existence and coalitional stability problems for Walras equilibrium in the models of multiregional economic systems are considered. Here, we continue investigations on extremal characterization of equilibrium allocations in non-classic market being a modification of the well-known Arrow-Debreu model. It is shown that strict autarchy and non-satiation conditions guarantee coincidence...
Residual Current Devices are protection elements used in many countries for electric shock prevention. These devices detect any differential current flowing from one live line to earth and the mechanism trips opening the circuit avoiding an accident on people. The residual current is standardized based on human tolerance, usually 30 mA. In order to analyze the effectiveness of this protection for...
This paper seeks to compare the various approaches that Terna has taken over time, and their effectiveness, as well as to outline a new approach that can, and whenever possible, must integrate the best practices in the field today for the prevention of conflict within the territory and, above all, for broad social participation in the project choices of our electric works.
Distributed renewable energy competitiveness is becoming a reality in most countries resulting in an increase of installed capacity in both developed and developing countries. Mexico, India, Germany, Zambia and South Africa have experienced the lowest average tariffs for solar photovoltaic (PV) through their competitive bidding processes between 2015 and 2017. In South Africa, the latest competitive...
Emissivity is one of the most important parameters to improve the determination of the troposphere properties (thermodynamic properties, aerosols and trace gases concentration) and it is essential to estimate the radiative budget. With the second generation of infrared sounders, we can estimate emissivity spectra at high spectral resolution, which gives us a global view and long-term monitoring of...
This paper considers an optimal harvesting strategy problem arising in shrimp culture. The problem is formulated as an optimal control problem of nonlinear impulsive system. Since the impulsive switching constraints is very complex, the impulsive switching instants are unknown, and the objective function is not continuously differentiable, it is difficult to solve this problem by standard optimization...
This paper questions the sizing standardization of small scale energy storage systems in a context of high penetration of renewable energies and non-deterministic load within the power grid. The future electrical grid is more precarious than the classic one by many reasons, inter alia, abrupt meteorological variations are hard to predict. Therefore, the geographic expansion beside high penetration...
The figures found in biomedical literature are a vital part of biomedical research, education and clinical decision. The multitude of their modalities and the lack of corresponding meta-data, constitute search and information retrieval a difficult task. We present multi-label modality classification approaches for biomedical figures. In particular, we investigate using both simple and compound figures...
Abstract-In this paper, we study forecasting through time series decomposition to predict Amazon Elastic Compute Cloud (EC2) Spot prices. To achieve this, we first decompose the Spot price history into time series components; each component, which can exhibit deterministic or non-deterministic qualities, is then separately forecast using different standard forecasting techniques and look back periods;...
This paper aims at the comparison of the network power for Pearson-Hamming networks built using the chi-squared functional set, and Bayes-Hamming networks built using the hyperbolic functional set. To configure these networks a correlation matrix of biometric data is calculated. At the nest step the data are sorted. Low-correlated data are converted with Pearson-Hamming networks, high-correlated data...
This paper lays out the key features of the new modelling tool POTEnCIA (Policy Oriented Tool for Energy and Climate Change Impact Assessment) for the EU energy system. The model follows a hybrid partial equilibrium approach combining behavioural decision with detailed techno-economic data. Special features are introduced in order to appropriately reflect the implications of an uptake of novel energy...
This paper uses high-frequency intraday electricity prices from the EPEX market to estimate and forecast realised volatility. Variation is broken down into jump and continuous components using quadratic variation theory. Then several heterogeneous autoregressive models are estimated for the logarithmic and standard deviation transformations. GARCH structures are included in the error terms of the...
In order to reduce the complexity of modeling product lines, many authors propose modeling product concerns separately by using multiple feature models. These proposals use well-known operations such as merge, union and slice to compose the models for analysis and engineering. Such operations produce new models that represent sets of products that comply with the semantics of the operations. We use...
This paper considers the modelling of scalar fields exhibiting non-stationary noise in the context of Gaussian Process (GP) regression. We show how a Heteroscedastic GP produces more accurate predictions of the variance of a process of this type compared to the standard Homoscedastic model. We present a parametric model for the noise process and derive analytical solutions to the Log Marginal Likelihood...
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