Synchronization of two-dimensional chaotic systems by the transmission of state information

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Arguably, one of the biggest scientific breakthroughs of our time is the realization that solutions to physical problems, previously thought to be hard or unattainable via first-principles derivations, can now be expressed by harnessing information hidden in raw data. Exploiting recent advancements in computational hardware, machine learning (ML) is leading the race of solving highly complex problems in weather forecasting, protein folding and natural language processing, utilizing vast amounts of available

Improving the energy performance of residential buildings is one of the most effective strategies to mitigate greenhouse gas emissions and enhance energy security in Europe. However, the adoption of energy-efficient renovation (EER) measures at the household level remains limited, even in contexts where subsidies and other incentives have been made widely available. This gap between climate ambition and household behavior underscores the need to better understand what influences renovation decisions across

Large codebases are routinely indexed by standard Information Retrieval systems, starting from the assumption that code written by humans shows similar statistical properties to written text [Hindle et al., 2012]. While those IR systems are still relatively successful inside companies to help developers search on their proprietary codebase, the same cannot be said about most of public platforms: throughout the years many notable names (Google Code Search, Koders, Ohloh, etc.) have been shut down. The limite

A methodology to perform a rigorous verification of Particle-in-Cell (PIC) simulations is presented, both for assessing the correct implementation of the model equations (code verification), and evaluating the numerical uncertainty affecting the simulation results (solution verification). The proposed code verification methodology is a generalization of the procedure developed for plasma simulation codes based on finite difference schemes that is described by Riva in [Riva et al, Physics of Plasmas, Volume

Engineering of large-scale metabolic pathways to maximize production of a certain substance or to minimize creation of undesired chemicals require explicit information about the underlying enzyme kinetics. Unfortunately, such information is frequently not available, or when available, it involves uncertainty due to biological variability and to differences in experimental conditions and measurement techniques. In this contribution, we present a computational framework that allows us to characterize the kine

The problem of side-information scalable source coding is considered in this work, where the encoder constructs a progressive description, such that the receiver with high quality side information will be able to truncate the bitstream and reconstruct in the rate distortion sense, while the receiver with low quality side information will have to receive further data in order to decode. We provide inner and outer bounds for general discrete sources. The achievable region is shown to be tight for the case tha

Requiring all nodes of a wireless multihop network to be connected is expensive and results in a poor scalability of properties such as transport capacity. We show however that it is no longer the case if we only slightly loosen the connectivity requirement, by just imposing that most nodes be connected to each other (so that the network percolates). This feature is found in models neglecting interferences, taking interferences as noise or taking a more information theoretic approach.

Recently, entropy measures at different stages of recognition have been used in automatic speech recognition (ASR) task. In a recent paper, we proposed that formant positions of a spectrum can be captured by multi-resolution spectral entropy feature. In this paper, we suggest modifications to the spectral entropy feature extraction approach and compute entropy contribution from each sub-band to the total entropy of the normalized spectrum. Further, we explore the ideas of overlapping sub-bands and the time

The physical activity in normal daily life is determined to a large extent by the functional ability of a subject. As a result, the measurement of the physical activity that a subject performs spontaneously could be a useful and objective measurement of disability, particularly in patients with disease-related functional impairment. The aim of this study is to provide an accurate method for the measurement and analysis of the physical activity under normal life conditions. Using three kinematical sensors st

Two-dimensional (2D) lattices of diffusively coupled chaotic oscillators are studied. In previous work, it was shown that various cluster synchronization regimes exist when the oscillators are identical. Here, analytical and numerical studies allow us to conclude that these cluster synchronization regimes persist when the chaotic oscillators have slightly different parameters. In the analytical approach, the stability of almost-perfect synchronization regimes is proved via the Lyapunov function method for a

The case presented in the paper shows how effective measurements can be made to help in the assessment of an important structure in a relatively short time frame using a combination of electronic inclinometers, temperature sensors and hydrostatic leveling. While not directly applicable to all kinds of structures, the methodology presented can certainly be adapted to many situations. It is anticipated that this and similar methods will be developed that will deliver a high quality of information about struct

Many distributed applications have a strong requirement for efficient dissemination of large amounts of information to widely spread consumers in large networks. These include applications in e-commerce and telecommunication. Publish/subscribe is considered one of the most important interaction styles to model communication at large scale. Producers publish information for a topic and consumers subscribe to the topics they wish to be informed of. The decoupling of producers and consumers in time, space, and

In a society which produces and consumes an ever increasing amount of information, methods which can make sense out of all this data become of crucial importance. Machine learning tries to develop models which can make the information load accessible. Three important questions one can ask when constructing such models are: - What is the structure of the data? This is especially relevant for high-dimensional data which cannot be visualized anymore. - Which features are most characteristic? -How to predict wh

A new holographic technique based on a numerical reconstruction method is presented and applied to endoscopic holograms. The hologram is obtained by the interference between the light reflected by the object and a reference beam taken as a plane wave travelling back along the axis of the multimode fiber bundle (MMB). The reconstruction of the image is computed numerically, using a fast algorithm to perform the Fresnel transform of the illuminated hologram. The quality of the reconstructed image has been eva

Collective Thomson scattering, using a high-power pulsed D2O laser at 385-mu-m and a heterodyne receiver system, has provided local ion temperature (T(i)) measurements of the plasma in the tokamak chauffage Alfven (TCA) tokamak. Recent improvements in the noise-equivalent power of the Schottky barrier diode mixers permitted us to achieve a typical precision of +/- 12% for a single shot measurement at densities above 10(20) m-3. Even at densities of standard TCA discharges (5 x 10(19) m-3) the uncertainty is

Synchronization of two-dimensional chaotic systems by the transmission of state information

Chattez avec Graph Search

Efficient Data-Driven and Physics-Informed Machine Learning for Cardiovascular Modeling

What Drives Energy-Efficient Renovations? Modeling Household Decision-Making through PLS-SEM

Learning Representations of Source Code from Structure and Context

A methodology for the rigorous verification of plasma simulation codes

Quantitative Analysis of Metabolic Networks Through the Explicit Consideration of Kinetic Mechanisms

Side-information Scalable Source Coding

The Costly Path from Percolation to Full Connectivity

Multi-resolution Spectral Entropy Based Feature for Robust ASR

Ambulatory system for the quantitative and qualitative analysis of gait and posture in chronic pain patients treated with spinal cord stimulation

Persistent clusters in lattices of coupled nonidentical chaotic systems

Long-Term Evaluation vs Short-Term Measurements : the Case of the Riddes Bridges

Effective Multicast Programming in Large Scale Distributed Systems

Mixture Models for Unsupervised and Supervised Learning

Performance of on-axis holography with a flexible endoscope

Ion Temperature-Measurements in a Tokamak by Collective Thomson Scattering