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Integrating Orthogonal Middleware Functionality in Components Using Interceptors
2003Current component platforms usually consider only a limited set of non-functional properties. Integration of these aspects is moreover handled in a rather static way. This article elaborates on possible uses of existing meta-programming facilities, notably interceptors, for custom integration of orthogonal middleware facilities.
Christoph Pohl, Steffen Göbel 0001
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Orthogonal components of the impedance of batteries by a simple technique
Journal of Applied Electrochemistry, 19782. Principle of the method Electrochemical power sources possess an internal impedance whose resistive and reactive (i.e., orthogonal) components are intimately related to the effective area of the electrodes, kinetics of the electrode processes and transport properties of the ions in the system.
Sathyanarayana, S +2 more
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Simultaneous squeezing of two orthogonal spin components
Journal of Optics B: Quantum and Semiclassical Optics, 2005Squeezing of spin is usually discussed for x and y components (Sx and Sy), considering the commutation relation [Sx,Sy] = i SZ for the triad (Sx, Sy, SZ) of three mutually perpendicular spin components. We generalize and discuss squeezing of the spin component Sθ = Sxcosθ+Sysinθ considering all possible such triads, which include Sθ.
Hari Prakash, Rakesh Kumar
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On the Equivocation Region of Relay Channels with Orthogonal Components
2007 Conference Record of the Forty-First Asilomar Conference on Signals, Systems and Computers, 2007We consider the secrecy rate of a relay network where an eavesdropper is co-located with the relay node. This exemplifies a scenario where the relay node is not malicious by nature, but is located in an "untrusted region", and hence is potentially compromised. Given that the aim now is to keep the relay node completely oblivious to the information sent
Xiang He, Aylin Yener
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Orthogonal learning network for constrained principal component problem
1990 IJCNN International Joint Conference on Neural Networks, 1990The regular principal components (PC) analysis of stochastic processes is extended to the constrained principal components (CPC) problem. As in the PC analysis, the CPC analysis involves extracting representative components which contain the most information about the original processes.
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Principal Components and Orthogonal Regression Based on Robust Scales
Technometrics, 2005Both principal components analysis (PCA) and orthogonal regression deal with finding a p-dimensional linear manifold minimizing a scale of the orthogonal distances of the m-dimensional data points to the manifold. The main conceptual difference is that in PCA p is estimated from the data, to attain a small proportion of unexplained variability, whereas
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A representation of orthogonal components in analysis of variance
2002Summary: The history of orthogonal components in the analysis of variance and of the Helmert transformation is allied to more recent mathematical representations of Kronecker products. The latter are well known tools useful in the teaching of factorial designs.
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Probabilistic orthogonal-signal-corrected principal component analysis
Knowledge-Based Systems, 2023Geonseok Lee +3 more
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Orthogonal Stationary Component Analysis for Nonstationary Process Monitoring
IEEE Transactions on Instrumentation and Measurement, 2023Youqing Wang +3 more
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