297 research outputs found

    方位残効と運動残効のメカニズム

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    早大学位記番号:新7626早稲田大

    GIMC structure based Anti-Windup control considering L2 performance

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    This paper deals with GIMC (Generalized Internal Model Control) structure based Anti-Windup (AW) control system design. First, we setup a L2 performance criterion based on GIMC structure for Anti-Windup control problems. The design problem is formulated as an optimization problem with a parameter Q. Then we calculate the optimization problem and find an optimal Q. Finally, the effectiveness of proposed method is shown by experimental results for a magnetic suspension system. © 2009 IEEE

    Solute distribution in porous rhyolite as evaluated by sequential centrifugation

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    International audiencePore water in a porous rhyolite, having a porosity of 27% and pore radii ranging from >25 μm to 0.008 μm, was centrifugally extracted stepwise with increasing centrifugal speed to examine the potential variations of the compositions of pore water and their relationships to reaction and transport occurring in the rock. The rock was soaked for from 1 h to 7 days in an aqueous solution prior to centrifugation. To evaluate the effect of adsorption under minimum effect of dissolution, Li+ and Br− were added to the solution as tracer ions. As centrifugal speed increased, water was extracted in order of large to small pores and the thickness of residual water film became thinner. The concentrations of ions dissolving from the rock (Na+, K+, Ca2+, etc.) after 7 days of immersion were relatively constant in pores of 1−10 μm radii and exponentially increased by 3−100 fold with decreasing pore radius to 0.1 μm. These ions are dissolved from the rock and transported toward the exterior of the rock by diffusion. The calculation using a reactive-transport equation showed that the observed concentration changes reflect the change in solute distribution profile with pore size. The concentration of Si after 7 days of immersion was approximately constant or slightly decreased with increasing centrifugal speed, which appears to be controlled by the solubility. The concentration of Li+ decreased with increasing centrifugal speed after 1 h of immersion but the trend changed after 7 days of reaction. Initial behaviour of Li+ is explained by adsorption on pore walls, and the change of trend is explained by desorption of that previously adsorbed, slight amounts of dissolution, and inflow from the outside of the rock. The change in concentration of Br− with increasing centrifugal speed was small, probably because Br− was not adsorbed on the surfaces. The sequential centrifugation thus provides information on the solute distribution associated with reaction and transport occurring in rock pores

    Proactive Received Power Prediction Using Machine Learning and Depth Images for mmWave Networks

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    This study demonstrates the feasibility of the proactive received power prediction by leveraging spatiotemporal visual sensing information toward the reliable millimeter-wave (mmWave) networks. Since the received power on a mmWave link can attenuate aperiodically due to a human blockage, the long-term series of the future received power cannot be predicted by analyzing the received signals before the blockage occurs. We propose a novel mechanism that predicts a time series of the received power from the next moment to even several hundred milliseconds ahead. The key idea is to leverage the camera imagery and machine learning (ML). The time-sequential images can involve the spatial geometry and the mobility of obstacles representing the mmWave signal propagation. ML is used to build the prediction model from the dataset of sequential images labeled with the received power in several hundred milliseconds ahead of when each image is obtained. The simulation and experimental evaluations using IEEE 802.11ad devices and a depth camera show that the proposed mechanism employing convolutional LSTM predicted a time series of the received power in up to 500 ms ahead at an inference time of less than 3 ms with a root-mean-square error of 3.5 dB

    Trace element concentrations in the small Indian mongoose (\u3ci\u3eHerpestes auropunctatus\u3c/i\u3e) from Hawaii, USA

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    Concentrations of 26 trace elements including essential (Mg, Ca, Cr, V, Mn, Fe, Co, Ni, Cu, Zn, Se, Sr and Mo) and toxic (As, Cd and Pb), were determined in the liver, kidney, brain, hair, muscle, and stomach contents of the small Indian mongooses inhabiting eight areas on three Hawaiian Islands, Oahu, Maui and Hawaii. There were significant differences in concentrations of some metals among the habitats. Cadmium concentrations in mongooses from the macadamia nut orchards on Island of Hawaii were relatively higher than those in populations from other seven areas. Lead concentrations in mongooses from the Ukumehame firing range were significantly higher than those from other areas. Compared to data reported in mongooses from other countries, Pb concentrations in the brain were higher in the animals from Hawaiian islands, but almost similar levels were observed in the liver and kidney. Intriguingly, brain concentrations of Pb in three specimens from the Ukumehame firing range exceeded 3.79 μg g−1 WW, which was the mean cerebral Pb level in rats that caused some toxic symptoms after administration in the previous study. Furthermore, two fetuses exhibited higher brain Pb concentrations than each of their dams. These results prompted us to consider the potential exposure and health effects of Pb derived from firing range operations on the small Indian mongoose and other animal species including human

    Trace element concentrations in the small Indian mongoose (\u3ci\u3eHerpestes auropunctatus\u3c/i\u3e) from Hawaii, USA

    Get PDF
    Concentrations of 26 trace elements including essential (Mg, Ca, Cr, V, Mn, Fe, Co, Ni, Cu, Zn, Se, Sr and Mo) and toxic (As, Cd and Pb), were determined in the liver, kidney, brain, hair, muscle, and stomach contents of the small Indian mongooses inhabiting eight areas on three Hawaiian Islands, Oahu, Maui and Hawaii. There were significant differences in concentrations of some metals among the habitats. Cadmium concentrations in mongooses from the macadamia nut orchards on Island of Hawaii were relatively higher than those in populations from other seven areas. Lead concentrations in mongooses from the Ukumehame firing range were significantly higher than those from other areas. Compared to data reported in mongooses from other countries, Pb concentrations in the brain were higher in the animals from Hawaiian islands, but almost similar levels were observed in the liver and kidney. Intriguingly, brain concentrations of Pb in three specimens from the Ukumehame firing range exceeded 3.79 μg g−1 WW, which was the mean cerebral Pb level in rats that caused some toxic symptoms after administration in the previous study. Furthermore, two fetuses exhibited higher brain Pb concentrations than each of their dams. These results prompted us to consider the potential exposure and health effects of Pb derived from firing range operations on the small Indian mongoose and other animal species including human
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