The Experts below are selected from a list of 46062 Experts worldwide ranked by ideXlab platform
Demetris Koutsoyiannis - One of the best experts on this subject based on the ideXlab platform.
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uncertainty entropy scaling and hydrological stochastics 1 marginal distributional properties of hydrological processes and state scaling incertitude entropie effet d echelle et proprietes stochastiques hydrologiques 1 proprietes distributionnelles m
Hydrological Sciences Journal-journal Des Sciences Hydrologiques, 2005Co-Authors: Demetris KoutsoyiannisAbstract:The well-established physical and Mathematical Principle of maximum entropy (ME), is used to explain the distributional and autocorrelation properties of hydrological processes, including the scali...
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uncertainty entropy scaling and hydrological stochastics 2 time dependence of hydrological processes and time scaling incertitude entropie effet d echelle et proprietes stochastiques hydrologiques 2 dependance temporelle des processus hydrologiques e
Hydrological Sciences Journal-journal Des Sciences Hydrologiques, 2005Co-Authors: Demetris KoutsoyiannisAbstract:Abstract The well-established physical and Mathematical Principle of maximum entropy (ME), is used to explain the distributional and autocorrelation properties of hydrological processes, including the scaling behaviour both in state and in time. In this context, maximum entropy is interpreted as maximum uncertainty. The conditions used for the maximization of entropy are as simple as possible, i.e. that hydrological processes are non-negative with specified coefficients of variation and lag-one autocorrelation. In the first part of the study, the marginal distributional properties of hydrological processes and the state scaling behaviour were investigated. This second part of the study is devoted to joint distributional properties of hydrological processes. Specifically, it investigates the time dependence structure that may result from the ME Principle and shows that the time scaling behaviour (or the Hurst phenomenon) may be obtained by this Principle under the additional general condition that all time...
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Uncertainty, entropy, scaling and hydrological stochastics. 1. Marginal distributional properties of hydrological processes and state scaling / Incertitude, entropie, effet d'échelle et propriétés stochastiques hydrologiques. 1. Propriétés distributi
Hydrological Sciences Journal, 2005Co-Authors: Demetris KoutsoyiannisAbstract:The well-established physical and Mathematical Principle of maximum entropy (ME), is used to explain the distributional and autocorrelation properties of hydrological processes, including the scali...
Adam Woźniak - One of the best experts on this subject based on the ideXlab platform.
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CMM touch trigger probes testing using a reference axis
Precision Engineering, 2005Co-Authors: Marek Dobosz, Adam WoźniakAbstract:A new method of testing of touch trigger probes for coordinate measuring machines (CMM) has been proposed. The concept is based on measurements of the distance between reference and triggering points in various directions. The reference points are established by the rotation axis of a precise rotary table. The advantage of this method relies on easy realisation with application of a commercial device for roundness error measurement. The accuracy of the presented method is much higher in comparison with the existing procedures of CMM probes calibration. The Mathematical Principle of the method has been presented and used for evaluation of its uncertainty. The validity of the method was experimentally confirmed by means of one- and two-stage type probes.
Yan Zhang - One of the best experts on this subject based on the ideXlab platform.
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PRIMA - A Secure Communication Scheme for Multiagent Systems
Lecture Notes in Computer Science, 1999Co-Authors: Hongzue Wang, Vijay Varadharajan, Yan ZhangAbstract:In this paper we present a secure communication scheme for multiagent systems. First, we briefly introduce an architecture for multiagent systems, and discuss security problems with such systems. We then present the communication scheme in detail, including the Mathematical Principle and the cryptographic protocol. To further demonstrate how our communication scheme works, we present an example with which we show how a piece of plaintext message is encrypted and decrypted between two agents within a multiagent system in accordance with our communication scheme. In evaluation we show that, compared with other encryption systems such as RSA, our scheme is more simple and suitable for implementation on computers used in multiagent systems. Importantly, it remains as secure as other systems as long as the plaintext is not too short. In conclusion, we discuss issues about the management of secret keys and the suitability of the communication scheme.
Jeffrey Bisanz - One of the best experts on this subject based on the ideXlab platform.
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Use of the Mathematical Principle of Inversion in Young Children.
Journal of experimental child psychology, 2003Co-Authors: Carmen Rasmussen, Jeffrey BisanzAbstract:Abstract An important issue in the development of Mathematical cognition is the extent to which children use and understand fundamental Mathematical concepts. We examined whether young children successfully use the Principle of inversion and, if so, whether they do so based on qualitative identity, length, or quantity. Twenty-four preschool children and 24 children in Grade 1 were presented with three-term inversion problems (e.g., 3+2−2) and standard problems of similar magnitude (e.g., 2+4−3). Problems were presented in three conditions to determine whether children used inversion at all and, if so, whether their decisions were based on quantitative or nonquantitative features of the problems. Both preschool and Grade 1 children showed evidence of using inversion in a fully quantitative manner, indicating that this Principle is available in some form prior to extensive formal instruction in arithmetic.
Bilie Gao - One of the best experts on this subject based on the ideXlab platform.
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Mathematical Principle of quantitative process about lateral shearing interference
Advanced Optical Manufacturing and Testing Technology 2000, 2000Co-Authors: Bilie GaoAbstract:Lateral shearing interference has such unique merits in optical testing, (1) anti-shock, (2) reference spherical surface is unnecessary. (3) the ratio of intensity of two beams is 1:1 in any case, (but in ordinary interference, the ratio of intensity of two beams isn't always 1:1 in any cases, because its ratio can be change according to different testing condition, in some cases maybe it is 1:25, so the interferogram is vague). But its interferogram is different from ordinary interferogram for same tested wavefront (so the experience for testing ordinary interference isn't applied to shearing interference completely). That is to say, the position and the amount of the error wavefront can't be taken clear, even if for the same tested wavefront, the shearing interferograms aren't same completely, when using different shearing distance. The quantitative process just solves this problem through two shearing interferograms whose shearing directions are normal to each other so the real error condition of tested wavefront can be calculated. The calculation can use two different ways, that is: Transposition Zernike Coefficients Method and Extended Simultaneous Equations Method. At last showing 2 types shearing prisms. We can use it to get two shearing interferograms at the same time and to change the shearing distance arbitrarily.