Field Induced Transitions in Rare Earth Intermetallic Compounds RX and RX_2 (R=Er, Ho, Dy, Tb and Gd and X=Ag and Au)(Magnetism)

Rare earth intermetallic compounds RX and RX_2 ( R=Gd, Tb, Dy, Ho and Er : X=Ag and Au) are antiferromagnetic compounds with the CsCl-type crystal structure and the MoSi_2-type one, respectively. Magnetization process is investigated for these compounds under static magnetic fields up to 270 kOe and pulsed ones up to 300 kOe. The observed field induced transitions are reviewed together with their magnetic phase diagrams

Noise Robust Speech Recognition Based on Spatial Subtraction Array

NSIP2005: International Workshop on Nonlinear Signal and Image Processing, May 18-20, 2005, Sapporo, Japan.We propose a spatial subtraction array (SSA) and known noise superimposition to achieve a robust hands-free speech recognition under noisy environments. In the proposed SSA, noise reduction is achieved by subtracting the estimated noise power spectrum from the target speech power spectrum to be enhanced in the mel-scale filter bank domain. This offers a realization of error-robust spatial spectral subtraction with few computational complexities. In addition, we introduce known noise superimposition techniques in the mel-scale filter bank domain, and utilize the matched acoustic model for the known noise. This can compensate the acoustic model mismatch and mask the residual noise component in SSA. The experimental results obtained under a real environment reveal that word accuracy of the proposed method is greater than that of the conventional method even when the target user moves between -10 and +10 degrees around the microphone array

Hands-Free Speech Recognition Using Spatial Subtraction Array

HSCMA2005: Joint Workshop on Hands-Free Speech Communication and Microphone Arrays, March 2005

Noise-Robust Hands-free Speech Recognition Based on Spatial Subtraction Array and Known Noise Superimposition

IROS2005: IEEE/RSJ International Conference on Intelligent Robots and Systems, August 2-6, 2005, Alberta, Canada.We propose a spatial subtraction array (SSA) and known noise superimposition to achieve a noise-robust hands-free speech recognition which can be used in human-robot interaction. In the proposed SSA, noise reduction is achieved by subtracting the estimated noise power spectrum from the target speech power spectrum to be enhanced in the mel-scale filter bank domain. This offers a realization of error-robust spatial spectral subtraction with few computational complexities. In addition, we introduce known noise superimposition technique in the mel-scale filter bank domain, and utilize the matched acoustic model for the known noise. This can compensate the acoustic model mismatch and mask the residual noise component in SSA. The experimental results obtained under a real environment reveal that word accuracy of the proposed method is greater than that of the conventional method even when the target user moves between -10 and +10 degrees around the microphone array

Biodiversity can benefit from climate stabilization despite adverse side effects of land-based mitigation

生物多様性保全と温暖化対策は両立できることが判明 --生物多様性の損失は気候安定化の努力で抑えられる--. 京都大学プレスリリース. 2019-12-04.Limiting the magnitude of climate change via stringent greenhouse gas (GHG) mitigation is necessary to prevent further biodiversity loss. However, some strategies to mitigate GHG emission involve greater land-based mitigation efforts, which may cause biodiversity loss from land-use changes. Here we estimate how climate and land-based mitigation efforts interact with global biodiversity by using an integrated assessment model framework to project potential habitat for five major taxonomic groups. We find that stringent GHG mitigation can generally bring a net benefit to global biodiversity even if land-based mitigation is adopted. This trend is strengthened in the latter half of this century. In contrast, some regions projected to experience much growth in land-based mitigation efforts (i.e., Europe and Oceania) are expected to suffer biodiversity loss. Our results support the enactment of stringent GHG mitigation policies in terms of biodiversity. To conserve local biodiversity, however, these policies must be carefully designed in conjunction with land-use regulations and societal transformation in order to minimize the conversion of natural habitats