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Hyperspectral remote sense image have been used successfully for mineral exploration. The high dimensionality of such images arise various problems like curse of dimensionality and large hypothesis space. In this paper we make an approach to the application of support vector machine theory in rocks/minerals information extraction from EO-1 Hyperion data. The first, we present a feature extraction...
Standardization plays a very important role in global industrialization. In order to explore the role of regional standards in economic development and to clarify the importance of the regional standards, it is necessary to study the relationship between the development of regional standards and the quality of local economic growth. Taking Heilongjiang Province of China as the case study, the following...
In this scheme, nonlinearity and dispersion in the NDF lead to various reshaping processes of an initial, conventional pulse according to the chirping value and power level at the input of the fibre. In particular, we have observed that triangular-shaped pulses can be generated for sufficiently high energies and a positive initial chirp parameter. In our experiments, 2.8 ps-FWHM, transform-limited...
We successfully establish a PCI Express link, demonstrating device recognition between an endpoint device and host computer across an all-optical WDM network interface. Direct Memory Access transfers are demonstrated across the upstream and downstream paths.
This paper presents a novel corner-fed microstrip square patch. On the patch there is a slot along the diagonal. With this slot, the current distribution on the patch is changed. The currents related to co-polarization become more dominant and those related to cross-polarization become more symmetrical. These two factors result in a reduction in the cross-polarization level. An eight element shunt...
Purchasing behavior serves a base for online customer segmentation. Online purchasing behavior is characterized by purchasing sequences. This paper reviews the existing three major techniques of sequence data analysis, and discusses their limitations in online purchasing sequences analysis for customer segmentation. The study proposes a new data mining method for online customer segmentation, and...
Mining knowledge about ordering from sequence data is an important problem with many applications, such as bioinformatics, Web mining, network management, and intrusion detection. For example, if many customers follow a partial order in their purchases of a series of products, the partial order can be used to predict other related customers' future purchases and develop marketing campaigns. Moreover,...
In this paper we present a new probability function G that generalizes the classical probability function. A mass function is an assignment of basic probability to some context (events, propositions). It represents the strength of support for some contexts in a domain. A context is a subset of the basic elements of interest in a domain - the frame of discernment. It is a medium to carry the "probabilistic"...
We study the rate of convergence of a coupled wave systems under two different boundary conditions, energy absorbing in two ends for one and free or fixed boundary controls in two ends for the other one. We will observe the theoretical results by numerical computations as well.
Based on the recently developed parametric feedback design methods for linear time invariant systems (LTIS), this paper presents a sub-optimal state feedback controller for LTIS involving structured real-valued plant parameter uncertainties. Based upon an optimality for the parametric feedback to be LQR optimal, a new performance index function, Jr, for the measure of both robustness and dynamic performance,...
In this paper, the recently developed. parametric design for observer gain matrices is used to formulate an optimally robust residual signal for fault diagnosis in systems with structured model uncertainty. Using the available free parameters inside observer gain matrix and with a proper choice of performance function, it is shown that a residual signal can be obtained which is insensitive to the...
We study the linearised self-excited wave equation xtt - ?? x-P(x) xt=0, where P(x)??0, P(x) L??(??), in a bounded domain ?? ?? Rn with smooth boundary ?? where boundary damping is present. Considering the partition {??+, ??-} of the boundary ?? on which x=0 on ??, and un+ Kut + Lu= 0, on ??, we find two different bounds for P such that the energy decays exponentially in the energy space as t tends...
This paper presents a fault detection and diagnosis method for unknown systems with unknown input. Using the same formulation as described in [1], a residual signal is formed which is independent of the unknown input but dependent on the unknown system parameters and the measurements. An identification algorithm with an improved modification procedure for the covariance matrix is obtained and is then...
Equations for the loop transmission bound for the multivariable Quantitative Feedback Theory are presented nere. These equations are useful in the computer - aided design of multivariable control systems.
This paper deals with the identification of a special kind of non-linear systems, bilinear systems. A new formulation of discrete bilinear systems is developed. An improved recursive identification method for these systems is presented.
This paper studies the problem of controlling discrete event systems as formulated by [Ramadge and Wonham 1987]. The optimal D-supervisor is introduced, which requires the minimal number of switchings. A complete characterization of such controllers as well as a procedure for its construction is given.
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