This paper describes the new global Navy Earth System Prediction Capability (Navy-ESPC) coupled atmosphere-ocean-sea ice prediction system developed at Naval Research Laboratory (NRL) for operational forecasting timescales of days to subseasonal. Two configurations are validated: (1) a low-resolution 16-member ensemble and (2) high-resolution deterministic system. The Navy-ESPC became in August...

This conceptual paper in sustainable business research introduces a business sustainability maturity model as an innovative solution to support companies move towards sustainable development. Such model offers the possibility for each firm to individually assess its position regarding five sustainability maturity levels and, as a consequence, build a tailored as well as a common strategy along ...

This paper proposes an idea for constructing a personalized recommendation system for the Electronic Program Guide (EPG). This system would use a basic statistics method with feedback process to predict television programs. We have applied this method to personal prediction of online Internet Electronic Program Guide (IEPG). The system was found to have good accuracy and dynamically adaptive ca...

Human capital is of paramount importance in the ICT industry. This paper analyses one of the elements which underlies effective management of human assets: performance assessment. This analysis uses the development of a common standard based on the tasks and processes outlined in People CMM, the standard in human resource management designed by the Software Engineering Institute. This framework...

Human capital is of paramount importance in the ICT industry. This paper analyses one of the elements which underlies effective management of human assets: performance assessment. This analysis uses the development of a common standard based on the tasks and processes outlined in People CMM, the standard in human resource management designed by the Software Engineering Institute. This framework...

The prediction of anomalies or adverse events is a challenging task, and there are a variety of methods which can be used to address the problem. In this paper, we introduce a generic framework developed in MATLABr called ACCEPT (Adverse Condition and Critical Event Prediction Toolbox). ACCEPT is an architectural framework designed to compare and contrast the performance of a variety of machine...

The measurement and prediction of software reliability require the use of the Software Reliability Growth Models (SRGMs). The predictive quality can be measured by the average end-point projection error [9]. In this paper, the e ects of two orthogonal classes of approaches to improve prediction capability of a SRM have been examined using a large number of data sets. The rst approach is preproc...

Coupled ocean wave and circulation models have been implemented under the IOEPAS program (Integrated Ocean Environment Prediction and Assimilation System). The third generation wave model, WAM and the South East Asian Ocean Model (SEAOM) based on the Princeton Ocean Model (POM) are coupled through wave-current interaction terms. The modeling capability has been improved from the altimeter data ...

Support Vector Machine has appeared as an active study in machine learning community and extensively used in various fields including in prediction, pattern recognition and many more. However, the Least Squares Support Vector Machine which is a variant of Support Vector Machine offers better solution strategy. In order to utilize the LSSVM capability in data mining task such as prediction, ther...

Therefore we can predict the stock market variations such that which companies share value in next time will go high or low. This technology is designed to help investors to discover hidden patterns from the historic data that have probable predictive capability in their investment decisions. The prediction of stock markets is a challenging task of financial time series prediction. Data analysi...