Why this method is Important The Coherency Architect should consider the case study method an important tool since the Architect has to investigate the organization or organizations they work with to investigate and uncover problems that needs to be solved before the organization can continue with it plans to achieve its goals. The Case Study Method gives the Coherency Architect tools which can...

There is currently a great deal of interest in the use of polarimetry for radar remote sensing. In this context, different and important objectives are to classify Earth terrain components within a fully polarimetric SAR image and then extract physical information from the observed scattering of microwaves by surface and volume structures. The most important observable measured by such radar sy...

Two-step image segmentation algorithm is proposed, which is based on region coherency for the segmentation of color image. The first step is the watershed segmentation, and the next one is the region merging using artificial neural networks. Spatially homogeneous regions are obtained by the first step, but the regions are oversegmented. The second step merges the oversegmented regions. The prop...

A major factor in determining the effectiveness of caching in wireless networks is the cache coherency scheme which maintains consistency between mobile stations (MSs) and the server. Since the wireless channel is inherently a broadcast medium, an appropriate cache coherency scheme is one in which the server broadcasts cache invalidation reports (IRs) that contain data update information. Howev...

This paper presents work on piggyback cache validation (PCV), which addresses the problem of maintaining cache coherency for proxy caches. The novel aspect of our approach is to capitalize on requests sent from the proxy cache to the server to improve coherency. In the simplest case, whenever a proxy cache has a reason to communicate with a server it piggybacks a list of cached, but potentially...

This paper studies the problem of direction finding and polarization estimation of coherent sources using a uniform linear electromagnetic vector-sensor (EmVS) array. A novel preprocessing algorithm based on EmVS subarray averaging (EVSA) is firstly proposed to decorrelate sources’ coherency. Then, the proposed EVSA algorithm is combined with the propagator method (PM) to estimate the EmVS stee...

We present a variational approach to motion estimation of instationary experimental fluid flows from image sequences. Our approach extends prior work along two directions: (i) The full incompressible Navier-Stokes equation is employed in order to obtain a physically consistent regularization which does not suppress turbulent variations of flow estimates. (ii) Regularization along the time-axis ...

For many applications of scalable multicomputers with distributed memory it is desirable to provide transparent shared virtual memory. For such applications, the hardware and system software must maintain coherency among the local memories. Most existing coherency schemes for multicomputers manage memory uniformly at a single granularity of fixed size pages or cache blocks, leading to unnecessa...

Introduction Traditionally, the analysis of seismic data involved looking for continuous events on seismic data, from which structural and stratigraphic features could be mapped. However, we are also interested in mapping discontinuous features such as faults and fractures. A method for identifying these discontinuities was first introduced by Bahorich and Farmer (1995) and called the coherency...

Based on the sources’ smoothed rank profile (SRP) and modified minimum description length (MMDL) principle, a method for estimation of the source coherency structure (SCS) and the number of wideband sources is proposed in this paper. Instead of focusing, we first use a spatial smoothing technique to pre-process the array covariance matrix of each frequency for de-correlating the sources and the...