This paper proposes an implementation of a learning system for training of engineers to material observation and analysis. First, we present the objectives of this application. Then, we propose a decomposition of the system in modules and we describe the knowledge representation and the software architecture. Last, we illustrate the architecture by giving an example of the tutoring session. key...

Realistic systems generally are systems with various inputs and outputs also known as Multiple Input Multiple Output (MIMO). Such systems usually prove to be complex and difficult to model and control purposes. Therefore, decomposition was used to separate individual inputs and outputs. A PID is assigned to each individual pair to regulate desired settling time. Suitable parameters of PIDs obta...

Using 5-minute high frequency data from the Chinese stock market, we employ a non-parametric method to estimate Fama-French portfolio realized jumps and investigate whether the estimated positive, negative and sign realized jumps could forecast or explain the cross-sectional stock returns. The Fama-MacBeth regression results show that not only have the realized jump components and the continuou...

We decompose UK market volatility into shortand long-run components using EGARCH component model and examine the cross-sectional prices of the two components. Our empirical results suggest that these two components are significantly priced in the cross-section and the negative risk premia are consistent with the existing literature. The Fama-French three-factor model is improved by the inclusio...

Category decomposition method based on matched filter for un-mixing of mixed pixels: mixels which are acquired with spaceborne based hyperspectral radiometers is proposed. Through simulation studies with simulated mixed pixels which are created with spectral reflectance data derived from USGS spectral library as well as actual airborne based hyperspectral radiometer imagery data, it is found th...

The discussion papers published in this series represent the authors' personal opinions and do not necessarily reflect the views of the Deutsche Bundesbank. Reproduction permitted only if source is stated. ISBN 3–935821–02–6 The capital-asset-pricing model (CAPM) is one of the most popular methods of financial market analysis. But, evidence of the poor empirical performance of the CAPM has accu...

This paper proposes a functional-coefficient panel data model with cross-sectional dependence motivated by re-examining the empirical performance of conditional capital asset pricing model. In order to characterize time-varying property assets’ betas and alpha, our proposed allows be unknown functions some macroeconomic financial instruments. Moreover, common factor structure is introduced whic...