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 $46\%$ less number of samples for accurate signal reconstruction and achieve up to $57\%$ smaller signal reconstruction error under the same noise condition.Comment: 9 pages, IEEE MASS 201

Triangular singularity and a possible ϕp\phi p resonance in the Λc+→π0ϕp\Lambda^+_c \to \pi^0 \phi p decay

We study the $\Lambda^+_c \to \pi^0 \phi p$ decay by considering a triangle singularity mechanism. In this mechanism, the $\Lambda^+_c$ decays into the $K^* \Sigma^*(1385)$, the $\Sigma^*(1385)$ decays into the $\pi^0 \Sigma$ (or $\Lambda$), and then the $K^* \Sigma$ (or $\Lambda$) interact to produce the $\phi p$ in the final state. This mechanism produces a peak structure around $2020$ 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 $K^* \Lambda$, $K^* \Sigma$, and $\phi p$. We conclude that it is difficult to search for the hidden-strange analogue of the $P_c$ states in this decay. However, we do expect nontrivial behavior in the $\phi p$ 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