High-Speed Human Motion Recognition Based on a Motion History Image and an Eigenspace

This paper proposes an efficient technique for human motion recognition based on motion history images and an eigenspace technique. In recent years, human motion recognition has become one of the most popular research fields. It is expected to be applied in a security system, man-machine communication, and so on. In the proposed technique, we use two feature images and the eigenspace technique to realize high-speed recognition. An experiment was performed on recognizing six human motions and the results showed satisfactory performance of the technique

Azimuthal angle distributions of neutrons emitted from the 9Be(γ,n) reaction with linearly polarized γ-rays

The electromagnetic transitions of 9Be with linearly polarized γ-rays are calculated by using the α + α + n three-body model and the complex-scaled solutions of the Lippmann-Schwinger equation; the azimuthal angle distributions of the emitted neutrons are investigated. We calculatethe anisotropy parameter as a function of the photon incident energy Eγ, and discuss how sensitive the anisotropy parameter is to nuclear structure and transition modes. The result suggests that the azimuthal angle distribution of neutrons emitted from the 9Be(γ,n) reaction with the linearly polarized γ-rays is useful to identify the resonances in the final states even if it is not clearly observed in the cross section

Improving human activity detection by combining multi-dimensional motion descriptors with boosting

motion descriptors with boostin

Laser Compton Scattering Gamma-Ray Experiments for Supernova Neutrino Process

The neutrino-nucleus interactions are important for understanding nucleosyntheses by neutrino-induced reactions as well as supernova explosion mechanisms. The M1 strength in atomic nuclei is important for estimation of neutrino-nucleus interactions. We have proposed a method using (γ, n) reactions with linear polarized gamma-ray beam generated by laser Compton scattering (LCS) to measure the M1 strength and verified a theoretical prediction. We have discussed experimental technique using the next generation of LCS beams

M1 Strength in Photonuclear Reactions with Linearly Polarized γ-ray Beam

The neutrino-nucleus interactions are important for understanding nucleosyntheses by neutrino-induced reactions as well as supernova explosion mechanisms. The M1 strength in atomic nuclei is important for estimation of neutrino-nucleus interactions. We have proposed a method using (γ, n) reactions with linear polarized laser Compton scattering (LCS) γ-rays to measure the M1 strength and verified a theoretical prediction

Exploratory study of volatile fatty acids and the rumen-and-gut microbiota of dairy cows in a single farm, with respect to subclinical infection with bovine leukemia virus

Abstract Background Subclinical infection with bovine leukemia virus (BLV) in cows can cause economic losses in milk and meat production in many countries, as BLV-related negative effects. The volatile fatty acids (VFAs) and microbiota present in the digestive tracts of cows can contribute to cow health. Here, we exploratorily investigated the VFAs and microbiota in the rumen and gut with respect to subclinical BLV infection using cows housed at a single farm. Results We analyzed a herd of 38 cows kept at one farm, which included 15 uninfected and 23 BLV-infected cows. First, the analysis of the VFAs in the rumen, gut, and blood revealed an absence of statistically significant differences between the uninfected and BLV-infected groups. Thus, BLV infection did not cause major changes in VFA levels in all tested specimens. Next, we analyzed the rumen and gut microbiota. The analysis of the microbial diversity revealed a modest difference between the uninfected and BLV-infected groups in the gut; by contrast, no differences were observed in the rumen. In addition, the investigation of the bacteria that were predominant in the uninfected and BLV-infected groups via a differential abundance analysis showed that no significant bacteria were present in either of the microbiota. Thus, BLV infection possibly affected the gut microbiota to a small extent. Moreover, bacterial associations were compared between the uninfected and BLV-infected groups. The results of this analysis suggested that BLV infection affected the equilibrium of the bacterial associations in both microbiota, which might be related to the BLV-related negative effects. Thus, BLV infection may negatively affect the equilibrium of bacterial associations in both microbiota. Conclusions Subclinical BLV infection is likely to affect the rumen and gut microbiota, which may partly explain the BLV-related negative effects