Nowadays, human behavior recognition research plays a pivotal role in the field of human-computer interaction. However, comprehensive approaches mainly rely on video camera, ambient sensors or ...wearable devices, which either require arduous deployment or arouse privacy concerns. In this paper, we propose WiAct, a passive WiFibased human activity recognition system, which explores the correlations between body movement and the amplitude information in Channel State Information (CSI) to classify different activities. The system designs a novel Adaptive Activity Cutting Algorithm (AACA) based on the difference in signal variance between the action and non-action parts, which adjusts the threshold adaptively to achieve the best trade-off between performance and robustness. The Doppler shift correlation value is used as classification features, which is extracted by using the correlation of the WiFi device's antennas. Extreme Learning Machine (ELM) is utilized for activity data classification because of its strong generalization ability and fast learning speed. We implement the WiAct prototype using commercial WiFi equipment and evaluate its performance in real-world environments. In the evaluation, WiAct achieves an average accuracy of 94.2% for distinguishing ten actions. We compare different experimental conditions and classification methods, and the results demonstrate its robustness.
Improvement of grain weight and size is an important objective for high-yield wheat breeding. In this study, 174 recombinant inbred lines (RILs) derived from the cross between Jing 411 and ...Hongmangchun 21 were used to construct a high-density genetic map by specific locus amplified fragment sequencing (SLAF-seq). Three mapping methods, including inclusive composite interval mapping (ICIM), genome-wide composite interval mapping (GCIM), and a mixed linear model performed with forward-backward stepwise (NWIM), were used to identify QTLs for thousand grain weight (TGW), grain width (GW), and grain length (GL). In total, we identified 30, 15, and 18 putative QTLs for TGW, GW, and GL that explain 1.1-33.9%, 3.1%-34.2%, and 1.7%-22.8% of the phenotypic variances, respectively. Among these, 19 (63.3%) QTLs for TGW, 10 (66.7%) for GW, and 7 (38.9%) for GL were consistent with those identified by genome-wide association analysis in 192 wheat varieties. Five new stable QTLs, including 3 for TGW (
,
, and
) and 2 for GL (
and
), were detected by the three aforementioned mapping methods across environments. Subsequently, five cleaved amplified polymorphic sequence (CAPS) markers corresponding to these QTLs were developed and validated in 180 Chinese mini-core wheat accessions. In addition, 19 potential candidate genes for
in a 0.31-Mb physical interval were further annotated, of which
and
encode a plasma membrane H
-ATPase and a serine/threonine-protein kinase, respectively. These new QTLs and CAPS markers will be useful for further marker-assisted selection and map-based cloning of target genes.
The lattice Boltzmann method (LBM) is an important numerical algorithm for computational fluid dynamics. This study designs a two-layer parallel model for the Sunway TaihuLight supercomputer SW26010 ...many-core processor, which implements LBM algorithms and performs optimization. Numerical experiments with different problem sizes proved that the proposed model has better parallel performance and scalability than before. In this study, we performed numerical simulations of the flows around the two-dimensional (2D) NACA0012 airfoil, and the results of a series of flows around the different angles of attack were obtained. The results of the pressure coefficient and lift coefficient were in good agreement with those in the literature.
Strong wall pressure fluctuations are generated mostly by a high-speed flow passing over a cavity and should be accurately predicted and controlled for the structural design of aircraft. In this ...work, a spatiotemporal analysis was performed to estimate wall pressure fluctuations and reveal the mechanism of flow control by a sawtooth-like vortex generator installed on the leading edge or by the use of a rounded trailing edge in suppressing wall pressure fluctuations. Both the cavity tones and overall sound pressure level were analyzed under different flow speeds and flow control approaches. To investigate the power transfer in the temporal and spatial domains, power spectral density contours were drawn and discussed. For the mode separation, the phased array technique with an improved beamforming algorithm was adopted to calculate the wavenumber map and then to separate the acoustic modes from the convective modes by utilizing the spatial correlation of the wall pressure fluctuations. The mode separation results show that the convective modes contribute mainly to the low-frequency pressure fluctuations, while the acoustic modes contribute to both the low-frequency and high-frequency pressure fluctuations. Flow control by the rounded trailing edge approach is more effective than that by the serrated structure approach in reducing the cavity acoustic environment, which enables wall pressure fluctuations to transfer from the high-frequency range to the low-frequency range compared with the “no control” case.
•Spatiotemporal analysis was performed to estimate wall pressure fluctuations and reveal the mechanism of flow control by a vortex generator or a rounded trailing edge on the cavity flow.•Phased array technique was adopted to separate the acoustic modes from the convective modes by utilizing the spatial correlation of wall pressure fluctuations.•Investigations addressed that convective modes contribute to the low-frequency fluctuations, while acoustic modes contribute to both the low-frequency and high-frequency fluctuations.
C3H zinc finger transcription factors play important roles in managing various biotic/abiotic stresses in Aarabidopsis, rice, and maize. The functions of these factors in wheat, however, remain ...largely unclear. We identified 88 TaC3H genes that were divided into four subfamilies in this analysis. Gene structure and conserved domain analyses indicate that most members of the same subfamily have similar structures. A total of 76 paralogous and 48 orthologous pairs were identified and Ka/Ks values were used to analyze replication relationships amongst wheat, rice, and Arabidopsis. Gene ontology (GO) annotation analysis showed that most TaC3H genes possessed molecular functions, while transcriptome results showed that the 88 TaC3H genes responded to water imbibition. Microarray data for 53 TaC3H genes were obtained and heat maps were generated; these results indicate that these genes are expressed in 13 wheat tissues. Subcellular localization prediction analysis indicates that most TaC3H genes are located in the nucleus. Promoter analysis indicates that most TaC3H genes contained cis-elements including ABRE, GARE-motif, and MBS, indicating that these can respond to various biotic/abiotic stresses. Transcriptome data and quantitative real-time PCR analysis of wheat cultivars with contrasting seed dormancy phenotypes show that five genes TaC3H4/-18/-37/-51/-72 were very likely involved in seed dormancy and germination. Exogenous ABA treatment further indicated that these five genes were responsive to ABA, suggesting that there may be a crosstalk between these genes and ABA signaling pathway in controlling seed dormancy and germination. These results provide a theoretical basis for subsequent studies on TaC3H gene function and also contribute to studies on the C3H gene in other species.
WiNum Zhang, Yong; Xu, Kangle; Wang, Yujie
Proceedings of the 2019 7th International Conference on Information Technology: IoT and Smart City,
12/2019
Conference Proceeding
Gesture recognition is an important part of human-computer interaction, which enables people to interact naturally with the machine. In this paper, we design a gesture recognition system called WiNum ...based on Gradient Boosting Decision Tree (GBDT) algorithm, which uses the commercial router to extract channel state information (CSI) in WiFi environment. Our system uses discrete wavelet transform (DWT) to preprocess the data in order to eliminate the noise in the original data. We design an adaptive gesture segmentation algorithm (AGS) based on the difference in information entropy between action and non-action parts to segment gestures. Different from KNN, SVM and other machine learning methods, we use GBDT ensemble learning algorithm to realize finger gesture recognition. The experimental results show that our system has an average recognition accuracy of 91 % for finger gestures.
Chimera grids method has broad applications in complex flow field simulations because of its convenience of the arbitrary boundary interfaces and the easiness of gird generations of subzones. ...However, the main disadvantage or challenging difficulty lies in the global conservative information exchange between different zones or components. This work aims at assessing of the conservation and effects of the mass flux based interpolation (MFBI) in chimera multi-grid flow solvers where Renolds-Averaged Navier-Stokes (RANS) equations and different turbulence models are introduced to calculate the viscous flows over several high-lift systems. A numerical result reveal that, compared to the direct interpolation scheme, the performance of global conservation of MFBI is much better and also guarantees the coincidence with wind-tunnel experiments.
Part of work on CFD simulations by the high-lift system design team in Fudan university for large civil aircraft is presented. The research on CFD simulation of the high-lift systems and some ...concepts and experience in three-dimensional geometry modeling are also presented, which are done on the self-developed platform of high-lift device aerodynamic calculation software and programs. For which, the design efficiency is substantially improved.
In this paper, we use the Ffowcs Williams-Hawkings (FW-H) equation of the penetrable surface to simulate the acoustic radiation problem of a monopole source in a three-dimensional uniform flow. In ...addition, parallel optimization was performed on the Sunway TaihuLight. Compared with the Intel CPU, the ideal acceleration effect was obtained. And the method of dividing the time window was used, which solved the shortage of the local data memory space of the slave core in the calculation process, achieved the local coupling calculation of the sound source and far-field sound pressure, and obtained ideal results. It is verified that the parallel algorithm has a good acceleration effect and scalability on the Sunway TaihuLight.
Two amino-decorated metal-organic frameworks have been constructed, which are the rare examples of MOF-based fluorescent probes targeting environmentally relevant guest species, such as Hg (II) and ...Cr (VI) ions in aqueous solution, with high selectivity and sensitivity. The possible sensing mechanism is also discussed.
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