Route Tracking Control of Tractor-Trailer Vehicles based on Fuzzy Controller

Recently, Factory Automation is actively been carried out in industry. Usually, a single AGV is used to transport products for factory automation. While, a Tractor-Trailer Vehicle can load much more products compared with a single AGV. Addition to this, transportation time can be shortened by separating containers. But, it is not so easy to drive the trailer according to the orbit during running of the Tractor-Trailer Vehicle. In this study, fuzzy control scheme is studied to support satisfactory route tracing of a tractor-trailer vehicle. To extruct the control rules, a fuzzy control system is developed

Accelerating revised RBF neural network

This study aimed to accelerate the segmentation of organs in medical imaging with the revised radial basis function (RBF) network, using a graphics processing unit (GPU). We segmented the lung and liver regions from 250 chest x-ray computed tomography (CT) images and 160 abdominal CT images, respectively, using the revised RBF network. We compared the time taken to segment images and their accuracy between serial processing by a single-core central processing unit (CPU), parallel processing using four CPU cores, and GPU processing. Segmentation times for lung and liver organ regions shortened to 57.80 and 35.35 seconds for CPU parallel processing and 20.16 and 11.02 seconds for GPU processing, compared to 211.03 and 124.21 seconds for CPU serial processing, respectively. The concordance rate of the segmented region to the normal region in slices excluding the upper and lower ends (173 lung and 111 liver slices) was 98% for lung and 96% for liver. The use of CPU parallel processing and GPU shortened the organ segmentation time in the revised RBF network without compromising segmentation accuracy. In particular, segmentation time was shortened to less than 10% with GPU. This processing method will contribute to workload reduction in imaging analysis

Evidence for Spin–Orbit Alignment in the TRAPPIST-1 System

In an effort to measure the Rossiter–McLaughlin effect for the TRAPPIST-1 system, we performed high-resolution spectroscopy during transits of planets e, f, and b. The spectra were obtained with the InfraRed Doppler spectrograph on the Subaru 8.2 m telescope, and were supplemented with simultaneous photometry obtained with a 1 m telescope of the Las Cumbres Observatory Global Telescope. By analyzing the anomalous radial velocities, we found the projected stellar obliquity to be λ = 1 ± 28° under the assumption that the three planets have coplanar orbits, although we caution that the radial-velocity data show correlated noise of unknown origin. We also sought evidence for the expected deformations of the stellar absorption lines, and thereby detected the "Doppler shadow" of planet b with a false-alarm probability of 1.7%. The joint analysis of the observed residual cross-correlation map including the three transits gave λ = 19_(-15)^(+13)°. These results indicate that the the TRAPPIST-1 star is not strongly misaligned with the common orbital plane of the planets, although further observations are encouraged to verify this conclusion

QUASI-VISCO-ELASTO-PLASTIC CONSTITUTIVE MODEL OF CONCRETE FOR FATIGUE SIMULATION

A simple constitutive model, quasi-visco-elasto-plastic constitutive model, was proposed considering viscoelasticity and viscoplasticity for fatigue analysis. Applicability to the concrete and RC member was investigated by introducing into three-dimensional Rigid Body Spring Model. As a result, the proposed model could simulate fatigue behaviors of both concrete and RC members although fatigue strengths were underestimated. The effectiveness of the discrete analysis with proposed model was also shown by evaluating of the fatigue failure mechanisms of RC members.FraMCoS-X : Fracture Mechanics of Concrete and Concrete Structures23-26 Jun 2019 Bayonne (France