915 research outputs found
Automatic Labeled LiDAR Data Generation based on Precise Human Model
Following improvements in deep neural networks, state-of-the-art networks
have been proposed for human recognition using point clouds captured by LiDAR.
However, the performance of these networks strongly depends on the training
data. An issue with collecting training data is labeling. Labeling by humans is
necessary to obtain the ground truth label; however, labeling requires huge
costs. Therefore, we propose an automatic labeled data generation pipeline, for
which we can change any parameters or data generation environments. Our
approach uses a human model named Dhaiba and a background of Miraikan and
consequently generated realistic artificial data. We present 500k+ data
generated by the proposed pipeline. This paper also describes the specification
of the pipeline and data details with evaluations of various approaches.Comment: Accepted at ICRA201
Realization of a collective decoding of codeword states
This was also extended from the previous article quant-ph/9705043, especially
in a realization of the decoding process.Comment: 6 pages, RevTeX, 4 figures(EPS
Long-Term Field Experiment for Monitoring Soil Carbon Content in Japanese Grasslands: Initial Data from 2010 to 2012
A long-term field experiment for monitoring soil carbon content in Japanese grasslands started in 2010 to investigate the changes in soil carbon content and the effect of composted livestock manure application. We established grassland plots with 3 levels of manure application treatment at 10 sites. Bulk density values in many sites had wide inter-replicate and inter-annual variability. It is reasonable to suppose that the variability in the bulk density reflect spatial variability of physical properties within the grasslands because the annual trends of the bulk density values were not consistent. Organic carbon concentration tended to increase yearly in the surface layer (0–5 cm), whereas those for the subsoil layer (5–30 cm) stayed relatively constant. The organic carbon concentration in the surface layer tended to increase with increasing latitude and the amount of manure applied. When data from all the sites were taken into account, carbon content also tended to increase over time following grassland renovation. These results indicate that Japanese grasslands have the potential to sequester organic carbon. The monitoring has just begun, and it is important to continue the effort to achieve the goals of this study
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