No abstract

The present work concerns immersive virtual reality (IVR) experiments carried out for prospective applications in the mining industry. Demonstrated technologies are also suitable for use in generic training and e-learning fields. Visualisation is handled by the Unity3D 2.5 multiplatform game development tool, which communicates over .Net socket servers with data feeds from a 5DT Data Glove Ultra that measures finger flexures, and an iPhone based touchpad device. The iPhone also provides orientation data pertaining to acceleration and rotational attributes, such as, pitch, roll and yaw. The user is placed at the focal point of a 4-m dome and experiences the immersive virtual reality environment display. Navigation and object manipulation by the user is made possible through the combination of hardwired buttons, in-world selection techniques and gesture recognition. The techniques are directly applicable to the monitoring of mining environments, in which mining equipment is surrounded by various sensor networks.

No abstract

Based oil a d €~~~& e d , pmhh%stic hemal m~w k (PNN)paradigm, a pamlklmtwork can be used to sort data parameters into dasses with hij$-sarting accuracy and low fragmentation. The capabilitiesof the sorter, as applied to W M pulse-data sorting, will be shown. "he PNN implements the statistical Bayesian strategy by computing a joint probability density over all input data parameters te match a group of candidate data classes. The sorting is accomplished by assigning the inputs to the most likely group with highest probability density estimate. Based on test data fiom an ESM system, the PNN has shown significant improvement over conventional rule-based techniques.The parallel computer architecture of PNN is wellsuited for very large-scale integration (VLSX) chip implementation. An 80,000 gate semicustom chip design concept will be described.