Process monitoring using profile data remains an important and challenging problem in various manufacturing industries. Motivated by application case of motherboard testing processes, we develop a novel modeling framework for heterogeneous multivariate profiles. In this framework, graphical model is constructed to depict the complicated relationship among channels. Then channels can be reduced ...

to determine the suitable indices for vegetation cover and production assessment based on the remote sensing data, simultaneous digital data with field data belonging to the spring rangeland of the semirom-isfahan province were analyzed. during two years of monitoring the annual, grass, forb, and shrub vegetation cover and the total production data from 86 were collected. the global positioning...

drought is a gradual phenomenon and cause important changes in water resources, agriculture and so on. due to the stochastic behavior of factors that influence the occurrence and intense of drought, one can consider this phenomenon as a stochastic process. with respect to the importance of predicted drought severity and its vital influence in designing and operating water resources systems, thi...

Brain-monitoring is quickly becoming an important field of research, with potentially significant impacts on how people will interact with technology. As understandings of the inner-workings of the brain become more accurate technologies are becoming more advanced, smaller, cheaper, and ubiquitous. It is expected that new forms of computing that take advantage of brain states will be developed....

We have developed a programming framework for building context-aware multi-user collaborative applications in pervasive computing environments. It supports context-sensitive security and multi-user coordination requirements. It also supports error handling in pervasive computing applications through an exception handling model. In this paper we present the programming framework and demonstrate ...