Search results for "Oise"
showing 10 items of 1967 documents
Green Homeowners? An Empirical Application of Fischel’s Homevoter Hypothesis
2021
It is a no-brainer that owners of private property usually care about their personal possessions. But does this also apply to public goods? Fischel’s homevoter hypothesis argues that property owners—in this case homeowners—will exhibit more than average concern with regard to public goods, particularly local public goods in their own neighborhood such as the local crime rate, nearby schools, and environmental quality. This contribution applies Fischel’s hypothesis to the public good of residential environmental conditions. Based on survey and administrative data collected in two cities, Mainz in Germany and Zurich in Switzerland, it examines whether house and apartment owners, as compared t…
Identification of stiffness,dissipation and input parameters of randomly excited non-linear systems: Capability of restricted potential models (RPM)
2006
Abstract A dynamic identification technique in the time domain for time invariant systems under random external forces is presented. This technique is based on the use of the class of restricted potential models (RPM), which are characterized by a non-linear stiffness and a special form of damping, that is a product of the input power spectral density (PSD) matrix and the velocity gradient of a non-linear function of the total mechanical energy. By applying It o ^ stochastic differential calculus and by specific analytical manipulations, some algebraic equations, depending on the response statistics and on the mechanic parameters that characterize RPM, are obtained. These equations can be u…
Itô calculus extended to systems driven by -stable Lévy white noises (a novel clip on the tails of Lévy motion)
2007
Abstract The paper deals with probabilistic characterization of the response of non-linear systems under α -stable Levy white noise input. It is shown that, by properly selecting a clip in the probability density function of the input, the moments of the increments of Levy motion process remain all of the same order ( d t ) , like the increments of the Compound Poisson process. It follows that the Ito calculus extended to Poissonian input, may also be used for α -stable Levy white noise input processes. It is also shown that, when the clip on the tails of the probability of the increments of the Levy motion approaches to infinity, the Einstein–Smoluchowsky equation is restored. Once these c…
Julma ja kiehtova itä : muslimit englanninkielisissä maantieteen teoksissa 1700-luvun jälkimmäisellä puoliskolla
2010
Eurooppa ja islam ovat olleet toistensa kanssa tekemisissä jo vuosisatojen ajan. Kanssakäyminen on ollut sekä vihamielistä, että rauhanomaista, mutta eurooppalaisten asenteita on aina värittänyt pelko kristinuskon vanhentuneena kieltänyttä itäistä naapuria kohtaan. Tässä työssä tarkastellaan Euroopassa 1700-luvun loppupuolella vallinnutta muslimikuvaa. Tutkimuksessa selvitetään, miten muslimeihin suhtauduttiin maallistuvassa yhteiskunnassa, millaisia representaatioita heistä rakennettiin, sekä eroteltiinko muslimikansallisuudet toisistaan, vai tarkasteltiinko heitä yhtenäisenä ryhmänä. Alkuperäislähteenä käytetään 1700-luvun jälkimmäisellä puoliskolla kirjoitettuja englanninkielisiä maantie…
The Quaternary fossil record of the genus Testudo in the Iberian Peninsula. Archaeological implications and diachronic distribution in the western Me…
2009
This paper explores the presence of tortoise remains and its meaning in Palaeolithic archaeological contexts. We focus on two topics: (1) the presence or absence of the genus Testudo from the Early Pleistocene to the Holocene in SW Europe; and (2) the relationship between Testudo and the palaeoclimatic and palaeoenvironmental conditions diachronically. In order to address this objective, we collected published and unpublished data from different sites on the eastern Iberian Peninsula. The results obtained by this study demonstrate that Testudo hermanni was the only tortoise present in this area until recent times and its presence in archaeological sites is almost always related to anthropic…
Control of Acoustical Quality of Indoor Spaces: Thorough Analysis of the Influence of Façade Typologies
2001
Building shape is of prime importance with regard to the acoustic aspects of achieving adequate indoor environmental quality. This paper presents experimental results obtained in a measurement programme carried out at CSTB, using reduced-scale models. The objectives were to identify the architectural forms of façades' best for noise mitigation, and to address the influence of façade architecture on indoor acoustic quality. Many façade typologies have been assessed in different situations involving combinations of structural and architectural elements, such as balustrades, balconies, loggias, etc. A systematic simulation of real configurations (buildings in front of one another, stacked or …
SAN plot: A graphical representation of the signal, noise, and artifacts content of spectra
2019
The signal-to-noise ratio is an important property of NMR spectra. It allows to compare the sensitivity of experiments, the performance of hardware, etc. Its measurement is usually done in a rudimentary manner involving manual operation of selecting separately a region of the spectrum with signal and noise, respectively, applying some operation and returning the signal-to-noise ratio. We introduce here a simple method based on the analysis of the distribution of point intensities in one- and two-dimensional spectra. The signal/artifact/noise plots, (SAN plots) allows one to present in a graphical manner qualitative and quantitative information about spectra. It will be shown that besides me…
A Review of Kernel Methods in Remote Sensing Data Analysis
2011
Kernel methods have proven effective in the analysis of images of the Earth acquired by airborne and satellite sensors. Kernel methods provide a consistent and well-founded theoretical framework for developing nonlinear techniques and have useful properties when dealing with low number of (potentially high dimensional) training samples, the presence of heterogenous multimodalities, and different noise sources in the data. These properties are particularly appropriate for remote sensing data analysis. In fact, kernel methods have improved results of parametric linear methods and neural networks in applications such as natural resource control, detection and monitoring of anthropic infrastruc…
An Adaptive Global-Local Memetic Algorithm to Discover Resources in P2P Networks
2007
This paper proposes a neural network based approach for solving the resource discovery problem in Peer to Peer (P2P) networks and an Adaptive Global Local Memetic Algorithm (AGLMA) for performing the training of the neural network. This training is very challenging due to the large number of weights and noise caused by the dynamic neural network testing. The AGLMA is a memetic algorithm consisting of an evolutionary framework which adaptively employs two local searchers having different exploration logic and pivot rules. Furthermore, the AGLMA makes an adaptive noise compensation by means of explicit averaging on the fitness values and a dynamic population sizing which aims to follow the ne…
Automatic Identification of Watermarks and Watermarking Robustness Using Machine Learning Techniques
2021
The goal of this article is to propose a framework for automatic identification of watermarks from modified host images. The framework can be used with any watermark embedding/extraction system and is based on models built using machine learning (ML) techniques. Any supervised ML approach can be theoretically chosen. An important part of our framework consists in building a stand-alone module, independent of the watermarking system, for generating two types of watermarks datasets. The first type of datasets, that we will name artificially datasets, is generated from the original images by adding noise with an imposed maximum level of noise. The second type contains altered watermarked image…