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エネピッコが気になる

1 :Nanashi_et_al.:2006/10/31(火) 12:45:32
オーディオマニアから絶賛されている”エネピッコ”がとても気になります。
その正体を暴いてください。
おねがいします。

2 :Nanashi_et_al.:2006/11/01(水) 01:24:20
Waschl and Richardson postulated
that for very high specific surface area powders the
explosive is almost homogeneous and the high
impact pressures required to ignite the explosive
inhibit successful completion of the build-up phase
since the shock duration is much shorter than the
time to establish a self-sustaining reaction.
However, in our trials there was no evidence of
“low order” events, as observed by Waschl and
Richardson. It is proposed that for such high
specific surface area powders the void/hot spot
sizes are approaching a critical value.


3 :Nanashi_et_al.:2006/11/01(水) 01:25:01
In Section 2, existing works on vision-based localization
are reviewed, with focus on appearance-based techniques.
Section 3 introduces polar higher-order local auto-correlation
(PHLAC) which is then used for probabilistic localization based
on Sequential Monte Carlo, described in Section 4. Results from experiments using a real robotic system are then presented
in Section 5, along with an analysis of the PHLAC vectors and their robustness against noise and occlusion. Section6
deliberates on how the extracted vectors can be made more
distinct for different locations and how invariance against illumination can be introduced directly into the extraction
process. Finally, in Section 7, main contributions and results
are summarized, and major strengths and weaknesses of our
current system are discussed.2. Vision-based localization
A camera-based equivalent of a typical distance-based
localization system would be acquiring a detailed threedimensional
model of the environment [39]. This 3D model
can then be used during localization to generate the expected
2D projections (camera images) at different locations. Instead
of being able to internally generate complete camera images,
the system could settle for being able to predict what
features [49] would be detected at each location. The features in
this case make up a sort of sparse 3D map of the environment.

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read.cgi ver 05.04.00 2017/10/04 Walang Kapalit ★
FOX ★ DSO(Dynamic Shared Object)