3,117 research outputs found
Pushing towards the Limit of Sampling Rate: Adaptive Chasing Sampling
Measurement samples are often taken in various monitoring applications. To
reduce the sensing cost, it is desirable to achieve better sensing quality
while using fewer samples. Compressive Sensing (CS) technique finds its role
when the signal to be sampled meets certain sparsity requirements. In this
paper we investigate the possibility and basic techniques that could further
reduce the number of samples involved in conventional CS theory by exploiting
learning-based non-uniform adaptive sampling.
Based on a typical signal sensing application, we illustrate and evaluate the
performance of two of our algorithms, Individual Chasing and Centroid Chasing,
for signals of different distribution features. Our proposed learning-based
adaptive sampling schemes complement existing efforts in CS fields and do not
depend on any specific signal reconstruction technique. Compared to
conventional sparse sampling methods, the simulation results demonstrate that
our algorithms allow less number of samples for accurate signal
reconstruction and achieve up to smaller signal reconstruction error
under the same noise condition.Comment: 9 pages, IEEE MASS 201
Triangular singularity and a possible resonance in the decay
We study the decay by considering a triangle
singularity mechanism. In this mechanism, the decays into the
, the decays into the (or
), and then the (or ) interact to produce the
in the final state. This mechanism produces a peak structure around
MeV. In addition, the possibility that there is a hidden-strange
pentaquark-like state is also considered by taking into account the final state
interactions of , , and . We conclude that it
is difficult to search for the hidden-strange analogue of the states in
this decay. However, we do expect nontrivial behavior in the invariant
mass distribution. The predictions can be tested by experiments such as BESIII,
LHCb and Belle-II.Comment: 7 pages, 3 figure
Fractionation of Distillers Dried Grains with Solubles (DDGS) Through A Gravity Separator: Life Cycle Assessment and Techno-Economic Analysis
DDGS could have higher market price and wider use if it could be separated into higher protein and higher fiber fractions. In our work, DDGS was firstly sieved into three size categories, and one category was further separated into light, midlight, midheavy and heavy fractions using a gravity separator. This process was effective in getting enhanced DDGS with increased protein and oil. In this study, both Life Cycle Assessment (LCA) and Techno-Economic Analysis (TEA) of our approach to DDGS fractionation were conducted. Three scales, including lab scale, pilot scale, and commercial scale of DDGS fractionation were considered and analyzed. All equipment parameters were obtained from industrial manufacturers. Both the environmental impact and the cost per unit of DDGS fractionation decreased as the fractionation scale expanded
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