21 research outputs found
On behavior strategy solutions in finite extended decision processes
Techniques for finding best behavior strategies on arbitrary information collection scheme
On behavior strategy solutions of finite two- person constant-sum extended games
Recall-sensitivity and behavior strategy solutions in finite two-person constant-sum extended game
Star-forming cores embedded in a massive cold clump: Fragmentation, collapse and energetic outflows
The fate of massive cold clumps, their internal structure and collapse need
to be characterised to understand the initial conditions for the formation of
high-mass stars, stellar systems, and the origin of associations and clusters.
We explore the onset of star formation in the 75 M_sun SMM1 clump in the region
ISOSS J18364-0221 using infrared and (sub-)millimetre observations including
interferometry. This contracting clump has fragmented into two compact cores
SMM1 North and South of 0.05 pc radius, having masses of 15 and 10 M_sun, and
luminosities of 20 and 180 L_sun. SMM1 South harbours a source traced at 24 and
70um, drives an energetic molecular outflow, and appears supersonically
turbulent at the core centre. SMM1 North has no infrared counterparts and shows
lower levels of turbulence, but also drives an outflow. Both outflows appear
collimated and parsec-scale near-infrared features probably trace the
outflow-powering jets. We derived mass outflow rates of at least 4E-5 M_sun/yr
and outflow timescales of less than 1E4 yr. Our HCN(1-0) modelling for SMM1
South yielded an infall velocity of 0.14 km/s and an estimated mass infall rate
of 3E-5 M_sun/yr. Both cores may harbour seeds of intermediate- or high-mass
stars. We compare the derived core properties with recent simulations of
massive core collapse. They are consistent with the very early stages dominated
by accretion luminosity.Comment: Accepted for publication in ApJ, 14 pages, 7 figure
Similarity-based decision tree induction method and its application to cancer recognition on tomographic images
Engineless unmanned aerial vehicle propulsion by dynamic soaring
Dynamic soaring is a flight technique which extracts energy from wind gradients with the potential to power small unmanned aerial vehicles in maritime applications. Wind gradients of the required magnitude naturally occur at the air-sea interface due to friction between the waves and the moving air. Suitability of dynamic soaring as a means of propulsion requires clarification of the achievable flight performance and the likelihood of favorable winds. Optimal trajectories for minimal and maximal wind conditions are generated as well as trajectories for optimal cross-country travel. The flight model's differential flatness property is used to simplify the optimization problem. The likelihood of favorable winds is predicted based on long term weather statistics and knowledge of the minimal and maximal permissible wind strengths. Comparison of the likelihood of favorable winds for the wandering albatross and an unmanned aerial vehicle of similar size shows that the ability to fly close to the surface is a key factor governing dynamic soaring performance