ABSTRACT
The complete mitochondrial genome (mitogenome) of the soft coral Sinularia acuta Manuputty and van Ofwegen, 2007 was sequenced and annotated using Illumina next-generation sequencing (NGS). The mitogenome of S. acuta was 18,730 bp in length and consisted of 14 protein-coding genes (PCGs), two ribosomal RNA genes (rRNA), and only one transfer RNA gene (tRNA-Met). The base composition was 30.18% A, 16.46% C, 19.35% G, and 34.00% T, with a total A + T content of 64.19%. The phylogenetic analysis demonstrated a close evolutionary relationship among Sinularia acuta, Sinularia penghuensis, and Sinularia maxima.
ABSTRACT
This paper considers vital signs (VS) such as respiration movement detection of human subjects using an impulse ultra-wideband (UWB) through-wall radar with an improved sensing algorithm for random-noise de-noising and clutter elimination. One filter is used to improve the signal-to-noise ratio (SNR) of these VS signals. Using the wavelet packet decomposition, the standard deviation based spectral kurtosis is employed to analyze the signal characteristics to provide the distance estimate between the radar and human subject. The data size is reduced based on a defined region of interest (ROI), and this improves the system efficiency. The respiration frequency is estimated using a multiple time window selection algorithm. Experimental results are presented which illustrate the efficacy and reliability of this method. The proposed method is shown to provide better VS estimation than existing techniques in the literature.
