Hierarchical forecasting has been receiving increasing attention in the literature. The notion of coherency is central to this, which implies that hierarchical time series follows some linear aggregation constraints. This notion, however, does not take several modelling uncertainties into account. We propose redefine as stochastic. allows accommodate overlooked forecast reconciliation. show ana...

The scalability of cache coherency schemes plays a major role in the overall performance of any scalable distributed system that utilises client data caching. In particular, transactional cache coherency algorithms must be scalable if the systems that are built around them, such as persistent object stores, are to be scalable. The avoidance-based transactional cache coherency [Hughes 1998] algo...

The paper presents a solution for designing a cache coherency state machine for a multiprocessor system with error/correcting capabilities for the unidirectional errors and the used resources implied by a FPGA implementation of our solution. The cache coherency method used is based on the MESI protocol. The implementation is realized with FPGA by using the ALTERA Program.

The work of adhesion of bimaterial interfaces is commonly computed using quantum mechanical methods in which the two materials are strained into coherency. There is no relaxation of the coherency by the formation of an array of interfacial misfit dislocations, contrary to what is commonly observed for essentially all systems other than very thin films. In this paper, we investigate the errors i...

This project applies coherency methods for dynamic analysis of power systems. It has been observed that in case of disturbances machines swing together, forming groups of coherent generators. In [1], a dynamic network reduction is described based on a slow-coherency method, aggregating coherent generators into one equivalent machine. In [2] it is demonstrated that such methods can also be used ...

Two econometric issues arise in the estimation of complete systems of producer or consumer demands when many non-negativity constraints are binding for a large share of observations, as frequently occurs with micro-level data. The rst is computational. The econometric model is essentially an endogenous switching regimes model which requires the evaluation of multivariate probability integrals. ...

In this paper, we consider techniques for disseminating dynamic data—such as stock prices and real-time weather information—from sources to a set of repositories. We focus on the problem of maintaining coherency of dynamic data items in a network of cooperating repositories. We show that cooperation among repositories— where each repository pushes updates of data items to other repositories—hel...

Traditional lightning detection and location networks use the time of arrival (TOA) technique to locate events with a single stamp. This contribution introduces simulation study lay foundation for new concepts. Here, novel interferometric method is studied which expands data maps into an area by using coherency. The amplitude waveform bank, consists averaged waveforms classified their propagati...