This paper introduces an orthonormal version of the sliding-window Projection Approximation Subspace Tracker (PAST). The new algorithm guarantees the orthonormality of the signal subspace basis at each iteration. Moreover, it has the same complexity as the original PAST algorithm, and like the more computationally demanding natural power (NP) method, it satisfies a global convergence property, ...

Aggregating information across multiple variants in a gene or region can improve power for rare variant association testing. Power is maximized when the aggregation region contains many causal variants and few neutral variants. In this paper, we present a method for the localization of the association signal in a region using a sliding-window based approach to rare variant association testing i...

The new information technology is becoming an importantfactor in the future development of financial services industry,and especially banking industry.Electronic banking (e-banking) is defined as the automated delivery of new andtraditional banking products and services directly to customers through electronic,interactive communication channels. E-banking includes the systems that enablecustome...

In PODS 2003, Babcock, Datar, Motwani and O’Callaghan [4] gave the first streaming solution for the k-median problem on sliding windows using O( k τ4W 2τ log2 W ) space, with a O(2O(1/τ)) approximation factor, where W is the window size and τ ∈ (0, 2 ) is a user-specified parameter. They left as an open question whether it is possible to improve this to polylogarithmic space. Despite much progr...

To e ciently support continuous display for continuous media many approaches based on the striping strategy that is implemented on a multi disk drive have been proposed However the striping strategy can only support simultaneous display of continuous media which are predetermined before they are stored in the multi disk drive For an interactive display application a system must support users to...

Power Spectral Density (PSD) of quasi-stationary processes can be efficiently estimated using the short time Fourier series (STFT). In this paper, an algorithm has been proposed that computes the PSD of quasi-stationary process efficiently using offline autoregressive model order estimation algorithm, recursive parameter estimation technique and modified sliding window discrete Fourier Transfor...

Financial sector plays an important role in the economic development of a country. Banking is the lifeline of an economy. A strong and healthy banking system is important requirement for economic growth. Indian banking industry, today is observing an IT revolution. The implementation of internet in banking organizations has modernized the banks. Implementing the internet banking approach has be...

We develop a simple general equilibrium framework to study the effects of global competition on banking industry dynamics and welfare. We apply the framework to the Mexican banking industry, which underwent a major structural change in the 1990s as a consequence of both government policy and external shocks. Given high concentration in the Mexican banking industry, domestic and foreign banks ac...

M any Middle-East countries, like Iran, have dynamic banking industries and have observed merger and acquisitions (M&A) waves. M&A waves are usually defined in the developed world context and some of their main drivers were identified as: market timing, environment's shocks, merger manias, government regulation and regulatory, and technological changes. It has been discussed that merger waves ...

In order to improve the prediction accuracy of chaotic time series, a chaotic time series forecasting method based on online weighted least squares support vector machine regression (WLS-SVM) is proposed. In this method, a sliding time window is built and data in the sliding time window are employed to construct the dynamic model of a system. The model of the system is refreshed on-line with th...