3,013 research outputs found
Multimodal 3D Object Detection from Simulated Pretraining
The need for simulated data in autonomous driving applications has become
increasingly important, both for validation of pretrained models and for
training new models. In order for these models to generalize to real-world
applications, it is critical that the underlying dataset contains a variety of
driving scenarios and that simulated sensor readings closely mimics real-world
sensors. We present the Carla Automated Dataset Extraction Tool (CADET), a
novel tool for generating training data from the CARLA simulator to be used in
autonomous driving research. The tool is able to export high-quality,
synchronized LIDAR and camera data with object annotations, and offers
configuration to accurately reflect a real-life sensor array. Furthermore, we
use this tool to generate a dataset consisting of 10 000 samples and use this
dataset in order to train the 3D object detection network AVOD-FPN, with
finetuning on the KITTI dataset in order to evaluate the potential for
effective pretraining. We also present two novel LIDAR feature map
configurations in Bird's Eye View for use with AVOD-FPN that can be easily
modified. These configurations are tested on the KITTI and CADET datasets in
order to evaluate their performance as well as the usability of the simulated
dataset for pretraining. Although insufficient to fully replace the use of real
world data, and generally not able to exceed the performance of systems fully
trained on real data, our results indicate that simulated data can considerably
reduce the amount of training on real data required to achieve satisfactory
levels of accuracy.Comment: 12 pages, part of proceedings for the NAIS 2019 symposiu
GONG p-mode frequency changes with solar activity
We present a correlation analysis of GONG p-mode frequencies with nine solar
activity indices for the period 1995 August to 1997 August. This study includes
spherical harmonic degree in the range 2 to 150 and the frequency range of
1500-3500 \mu Hz. Using three statistical tests, the measured mean frequency
shifts show strong to good correlation with activity indices. A decrease of
0.06 \mu Hz in frequency, during the descending phase of solar cycle 22 and an
increase of 0.04 \mu Hz in the ascending phase of solar cycle 23 is observed.
These results provide the first evidence for change in p-mode frequencies
around the declining phase of solar cycle 22 and beginning of new cycle 23.
This analysis further confirms that the temporal behaviour of the solar
frequency shifts closely follow the phase of the solar activity cycle.Comment: 14 pages, 3 figures. To appear in Ap.
Solar cycle induced variations in GONG p-mode frequencies and splittings
We have analysed the recently available GONG p-mode frequencies and splitting
coefficients for a period of three and half years, including the rapidly rising
phase of solar cycle 23. The analysis of mean frequency shift with different
activity indices shows that the shift is equally correlated with both magnetic
and radiative indices. During the onset of the new cycle 23, we notice that the
change in splitting coefficient is more prominent than the change in
. We have estimated the solar rotation rate with varying depth and
latitude. In the equatorial region, the rotation first increases with depth and
then decreases, while an opposite behaviour is seen in the polar region. We
also find a small but significant temporal variation in the rotation rate at
high latitudes.Comment: Uses aastex, To appear in Astrophysical Journal, October 10, 2000
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Development of cryptographic algorithm using bit shifting and Matrix XOR operations
Secured transmission of data is an important technological issue in the world. It is very much essential to develop intelligent cryptographic algorithm, which solves this purpose. A bit shifting and stuffing (BSS) system
refers to shifting the printable character bits (ASCII characters of 7 bits each) by 01 bit. The 8th bit of one printable
character is replaced by a new bit of other printable character. In the BSS system based encryption process, for every eight bytes of plain text of data in encryption process; the encryption produces seven bytes of cipher text. On contrary during decryption process, seven bytes of cipher text converted to original eight bytes of plain text. In this work a new replacement algorithmic rule for Digital encoding called as “Bit shifting and Matrix XOR Operation Conversion Technique” (BSMXOR) is proposed which increases the complexity of encryption of the data. The experimental results shows that the new theme has very fast encoding and safer for data transmission.
 
Mathieu Stability of Offshore Buoyant Leg Storage and Regasification Platform
Increasing demand for large-sized Floating, Storage and Regasification Units (FSRUs) for oil and gas industries led to the development of novel geometric form of Buoyant Leg Storage and Regasification Platform (BLSRP). BLSRP consists of a circular deck supported by six buoyant legs placed symmetrically with respect to wave direction. Circular deck is connected to buoyant legs using hinged joints, which restrain transfer of rotational response from the legs to deck and vice-versa. Buoyant legs are connected to seabed using taut moored system with high initial pretension, enabling rigid body motion in vertical plane. Encountered environmental loads induce dynamic tether tension variations, which in turn affect stability of the platform. The present study investigates Mathieu stability of BLSRP under the postulated tether pullout cases by inducing additional tension in the tethers. From the numerical studies carried out, it is seen that postulated tether pullout on any one of the buoyant legs does not result in Mathieu type instability even under excessive tether tension. This is due to the presence of hinged joints, which are capable of dissipating the unbalanced loads to other legs. However, under tether pullout of consecutive buoyant legs, Mathieu-type instability is observed
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