This paper describes the use the Information Orientation (IO) Maturity Model as the basis of a MBA course-based project. The IO model explicitly draws the relationship between business performance and several information and technology management concepts. More importantly, the IO Model is accompanied by a specific method of gathering and analyzing data, and includes general recommendations on ...

Background In the past decades, maturity models have become important tools to visualize progress in adopting processes and standards and to benchmark companies in their industry (Becker et al. 2009). Two of the best known and oldest maturity frameworks are the Capability Maturity Model (CMM; Paulk et al. 1993; Watts 1987) and its follow-up, Capability Maturity Model Integration (CMMi; CMMI Pro...

The final goal of this project is to provide the US Navy with an increased capability of using Doppler radar observations in the detection and prediction of hazardous weather events that usually have a strong randomness in nature and affect the Navy operations, especially over oceans and in remote areas. By developing a high-resolution data assimilation capability that can effectively assimilat...

A capacity fade prediction model has been developed for Li-ion cells based on a semi-empirical approach. Correlations for variation of capacity fade parameters with cycling were obtained with two different approaches. The first approach takes into account only the active material loss, while the second approach includes rate capability losses too. Both methods use correlations for variation of ...

Abstract Africa is poised for a revolution in the quality and relevance of weather predictions, with potential great benefits terms human economic security. This will be driven by recent international progress nowcasting, numerical prediction, theoretical tropical dynamics, forecast communication, but depend on suitable scientific investment being made. The commercial sector has recognized this...

Two-level predictors deliver highly accurate conditional branch prediction, indirect branch target prediction and value prediction. Accurate prediction enables speculative execution of instructions, a technique that increases instruction level parallelism. Unfortunately, the accuracy of a two-level predictor is limited by the cost of the predictor table that stores associations between history ...

To improve prediction accuracy of top-coal drawing capability in steep seams, principal component analysis (PCA) and the general regression neural network (GRNN) are combined (PCA–GRNN model) to predict seams. Nine commonly used influencing factors selected establish a predictive index system for The PCA is eliminate correlation reduce dimensions various indices, thus obtaining three linearly u...