14 research outputs found
Cluster-based anomaly detection flow.
<p>Cluster-based anomaly detection flow.</p
Comparison of Adaboost with and without hierarchical structures.
<p>Comparison of Adaboost with and without hierarchical structures.</p
CA-AFSA-BP mis-use detection of flow.
<p>CA-AFSA-BP mis-use detection of flow.</p
Cluster-based anomaly detection results.
<p>Cluster-based anomaly detection results.</p
Selection of training and test samples.
<p>Selection of training and test samples.</p
DR and FR of 4 intrusion detection algorithms.
<p>DR and FR of 4 intrusion detection algorithms.</p
Classification Results of 4 intrusion detection algorithms.
<p>Classification Results of 4 intrusion detection algorithms.</p
Human Rights: A Marxist critique
Light-actuating devices
that can produce selective motions at small
scales are highly desired for on-demand manipulation. For conventional
photothermal motors that mostly encounter the homogenous light-induced
heat diffusion at the liquid/air interface, it is challenging to effectively
control the actuating direction and enhance the actuating speed. To
this end, here, we explore aligned thermally conducting one-dimensional
nanomaterials to make light-driving motors where the light-induced
heat can be transmitted to the water surface along the length direction
of the aligned one-dimensional nanomaterials to generate a localized
surface tension gradient for high spatial resolution propulsion. When
multiwalled carbon nanotubes were studied as a demonstration, the
aligned active layer generated sufficient propulsion to drive a centimeter-sized
motor that was 10 000 times higher in mass of the actuating layer
on water. In addition, the actuating direction had been accurately
controlled by varying the illuminated region of the active aligned
nanotube layer. The resulting light-driving motors can move as fast
as 4.19 cm/s (or 5.2 body length per second), which exceeded the previous
motors based on the light activation