Transient fast reconnection in dynamic current sheets with anomalous resistivity

Two-dimensional compressible magnetohydrodynamic simulations of current sheet dynamics under the influence of multiple anomalous resistivity areas and slight asymmetries are presented. Following induced tearing and multiple coalescence, a plasmoid is formed and accelerated. Dominant X-points drive the dynamical evolution and lead to transient occurrence of a Petschek-like reconnection geometry. The dependence of current density extrema, plasmoid bulk velocity and maximum reconnection rate on the Lundquist number is examined.     

Flute or trio: Different approaches to optical arrays in space

FLUTE and TRIO are two versions of a proposed optical interferometer, intended as a first step towards large optical arrays. The two apertures of FLUTE are linked by solid members, while TRIO relies totally upon active stabilization techniques to maintain optical coherence with three satellites serving as array components. The feasibility of utilizing solar radiation pressure for fine control is studied.A natural and periodic variation of baseline spacing can be achieved by certain orbital configurations. Thus, skin panels having a tunable reflectivity suffice to obtain the fine corrections needed. Preliminary modelling indicates adequate controllability for such “chameleon” satellites. If suitable panel types can be developed, a TRIO system employing them would be preferred to FLUTE type structures. The longer (1 to 10 km) baselines achievable are of particular interest and the cost is probably lower.     

Pop-up threat models for persistent area denial

Pop-up threats usually appear or disappear randomly in a battle field. If the next pop-up threat locations could be predicted it would assist a search or attack team, such as in a persistent area denial (PAD) mission, in getting a team of unmanned air vehicles (UAVs) to the threats sooner. We present a Markov model for predicting pop-up ground threats in military operations. We first introduce a general Markov chain of order n to capture the dependence of the appearance of pop-up threats at previous locations of the pop-up threats over time. We then present an adaptive approach to estimate the stationary transition probabilities of the nth order Markov models. To choose the order of the Markov chain model for a specific application, we suggest using hypothesis tests from statistical inference on historical data of pop-up threat locations. Anticipating intelligent responses from an adversary, which might change its pop-up threat deployment strategy upon observing UAV movements, we present adaptive Markov chain models using a moving horizon approach to estimate possibly abrupt changes in transition probabilities. We combine predicted and actual pop-up target locations to develop efficient cooperative strategies for networked UAVs. A theoretical analysis and simulation results are presented to evaluate the Markov model used for predicting pop-up threats. These results demonstrate the effectiveness of cooperative strategies using the combined information of threats and predicted threats in improving overall mission performance.     

Optimal Cooperative Sensing using a Team of UAVs

The authors investigates the joint optimal estimation of both the position and velocity of a ground moving target (GMT) using pulse Doppler radars on-board unmanned aerial vehicles (UAVs). The problem of cooperative estimation using a UAV team and the optimization of the team's configuration to achieve optimal GMT position and velocity estimates are addressed. Based on the Cramer-Rao bound, the minimum achievable error variance of the GMT position and velocity estimates is derived. The expression of the minimum achievable estimation error variance for unbiased estimation provided by the Cramer-Rao bound is minimized yielding the optimal configuration of the UAV team. Our solution is complete in that it addresses various GMT tracking scenarios and an arbitrary number of UAVs. Optimal sensor geometries for typical applications are illustrated     

The Network Vehicle-a glimpse into the future of mobile multi-media

The Network Vehicle is the Delphi Automotive Systems' vision for the future convergence of computers, the communications infrastructure, and the automobile. It features many advanced functions such as: satellite video, Internet access, virtual navigation, remote vehicle diagnostics and control, games, mobile office, automotive web site, and customized real-time stock quotes and sports scores. These features are enabled by an integrated planar antenna that is capable of multiple satellite reception, a client-server network architecture, and unique human-vehicle-interfaces such as color reconfigurable head-up and head-down displays, steering wheel controls, voice recognition, text-to-speech, and large touch screen active matrix liquid crystal displays (LCDs). The software applications are written in Java, using Application Programming Interfaces (APIs) to reduce the complexity and cost of the source code