Context: How to adopt, scale and tailor agile methods depends on several factors such as the size of the organization, business goals, operative model, and needs. The Scaled Agile Framework (SAFe ©) was developed to support organizations to scale agile practices across the enterprise. Problem: Early adopters of SAFe © tend to be large multi-national enterprises who report that the adoption of S...

Failure of dams due to overtopping is among the most frequent forms of embankment failures. Owing to massive and wide spread damage to structures and loss of lives associated with a dam failure, the subject has drawn the attention of scientists. The study also becomes essential for damage assessment and for development of early warning system of people downstream of the embankment. The rate of ...

Composite likelihood methods have become very popular for the analysis of large-scale genomic data sets because of the computational intractability of the basic coalescent process and its generalizations: It is virtually impossible to calculate the likelihood of an observed data set spanning a large chromosomal region without using approximate or heuristic methods. Composite likelihood methods ...

In this paper, we first introduce two one-parameter relaxation (OPR) iterative methods for solving singular saddle point problems whose semi-convergence rate can be accelerated by using scaled preconditioners. Next we present formulas for finding their optimal parameters which yield the best semi-convergence rate. Lastly, numerical experiments are provided to examine the efficiency of the OPR m...

In the age of scaled silicon technology to improve the functional efficiency of a CMOS design, the device geometry and device parameters are constantly scaled. The major factors of the power consumption due to continuous reduction of the oxide thickness (tOX) is the gate leakage current in both the active and standby mode of the device and other is due to scaled supply voltage, the sub-threshol...

In dynamic linear models (DLMs) with unknown fixed parameters, a standard Markov chain Monte Carlo (MCMC) sampling strategy is to alternate sampling of latent states conditional on fixed parameters and sampling of fixed parameters conditional on latent states. In some regions of the parameter space, this standard data augmentation (DA) algorithm can be inefficient. To improve efficiency, we app...

─The purpose of this study was to explore the related practical techniques of monitoring and controlling system in designing renewable energy system, especially for Small-scaled wind-power generator. Recently, the whole world was actively developing replaced energy to solve the economic development and daily-life necessities problems resulting from gradually lacking of oil. Taiwan government wa...