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Fast System Level Benchmarks for Multicore Architectures
2014
2014 17th Euromicro Conference on Digital System Design
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We present a framework that automatically generates system level synthetic benchmarks from traditional benchmarks. ...
In experiments we observe that not only are our system level benchmarks much smaller than the real benchmarks that they are generated from but they are also much faster. ...
Classification of Parallel Patterns [14] not develop a system level platform model rather we develop synthetic system level applications. ...
doi:10.1109/dsd.2014.16
dblp:conf/dsd/0001KDN14
fatcat:hxlcwsagardi5b23b2qj4vnwum
INDOOR LIDAR RELOCALIZATION BASED ON DEEP LEARNING USING A 3D MODEL
2020
The International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences
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A set of synthetic lidar frames are generated from the 3D model with known poses. ...
Most existing indoor mapping and navigation systems cannot initialize the sensor poses automatically and consequently these systems cannot perform relocalization and recover from a pose estimation failure ...
In this paper, synthetic images are trained with a VGG-based CNN architecture and a ResNet-based architecture. ...
doi:10.5194/isprs-archives-xliii-b1-2020-541-2020
fatcat:jp6bt7k46vfubgv37x2n3m6gny
Embedded instrumentation systems architecture
2007
Defense Transformation and Net-Centric Systems 2007
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The objective of the Embedded Instrumentation Systems Architecture (EISA) initiative is to develop a comprehensive methodology for large-scale, nonintrusive, flexible data collection for test and evaluation ...
T he objective of the Embedded Instrumentation Systems Architecture (EISA) initiative is to develop a comprehensive methodology for large-scale, nonintrusive, flexible data collection for U.S. ...
Figure 5 . 5 Unified Modeling Language (UML) model of the Data Acquisition and Control Unit of the Embedded Instrumentation Systems Architecture. ...
doi:10.1117/12.717585
fatcat:d37pvdnalfebfp6l4e7gmij3x4
Embedded Instrumentation Systems Architecture
2008
2008 IEEE Instrumentation and Measurement Technology Conference
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The objective of the Embedded Instrumentation Systems Architecture (EISA) initiative is to develop a comprehensive methodology for large-scale, nonintrusive, flexible data collection for test and evaluation ...
T he objective of the Embedded Instrumentation Systems Architecture (EISA) initiative is to develop a comprehensive methodology for large-scale, nonintrusive, flexible data collection for U.S. ...
Figure 5 . 5 Unified Modeling Language (UML) model of the Data Acquisition and Control Unit of the Embedded Instrumentation Systems Architecture. ...
doi:10.1109/imtc.2008.4547209
fatcat:wl4cxc2jynd5fn3gf7yji3zab4
Retinal Image Synthesis for Glaucoma Assessment Using DCGAN and VAE Models
[chapter]
2018
Lecture Notes in Computer Science
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model capable of generating labelled images. ...
The obtained models are image synthesizers capable of generating any amount of cropped retinal images from a simple normal distribution. ...
Results from this evaluation prove that this initial system is a promising step towards a model capable of generating labelled cropped images. ...
doi:10.1007/978-3-030-03493-1_24
fatcat:erznwoc4ijanbekljp5fr3fqvi
Comparing the Benefit of Synthetic Training Data for Various Automatic Speech Recognition Architectures
[article]
2021
arXiv
pre-print
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We show that for the later systems the addition of synthetic data has no relevant effect, but they still outperform the AED systems on LibriSpeech-100h. ...
This was successfully applied in many publications with AED systems, but only very limited in the context of other ASR architectures. ...
Except for [4] , all systems include SpecAugment.* results are averaged over multiple runs with varying silence pre-processing, see Section 4.2 Architecture
Encoder Model
Label Type
LM
Synthetic Data ...
arXiv:2104.05379v3
fatcat:f7w7gz4exvhlbkkvnnabbnk7x4
WeChat Neural Machine Translation Systems for WMT20
[article]
2020
arXiv
pre-print
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Our system is based on the Transformer (Vaswani et al., 2017a) with effective variants and the DTMT (Meng and Zhang, 2019) architecture. ...
approaches and self-bleu based model ensemble. ...
In the remainder of this paper, we start with an overview of model architectures in Section 2. Section 3 describes the details of our systems and training strategies. ...
arXiv:2010.00247v2
fatcat:uystaasuczbjrik7jqqepeol6i
Synthetic Gene Circuits for Antimicrobial Resistance and Cancer Research
[chapter]
2021
Synthetic Genomics - From Natural to Synthetic Genomes [Working Title]
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Mathematical modeling guides the rational design of synthetic gene circuits. ...
In this chapter, we describe modeling tools for the design and characterization of chemical- and light-inducible synthetic gene circuits in different organisms and highlight how synthetic gene circuits ...
Mathematical models and synthetic gene circuits have established that the architecture of the gene network modulates gene expression noise [14] . ...
doi:10.5772/intechopen.99329
fatcat:eq5mvs7y7ng7jevir43iz2ctwu
Performance Evaluation Approach for Multi-Tier Cloud Applications
2013
Journal of Software Engineering and Applications
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An architecture model captures the deployment configurations of multi-tier applications. ...
We also describe a system bottleneck detection approach based on experimental evaluation of multi-tier applications. ...
Output-Synthetic workload that has the same workload characteristics as real workloads. Benchmark, Workload & Architecture models used. workload characteristics. ...
doi:10.4236/jsea.2013.62012
fatcat:cdyolgic4vhfpmilebungbtmeu
Towards Building a Real Time Mobile Device Bird Counting System Through Synthetic Data Training and Model Compression
[article]
2019
arXiv
pre-print
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2019 pre-print arXiv:1912.07106v1 fatcat:e4gtyd4lwbhc5d2325u62oyoca
In order to build a scalable system for fast bird counting under storage and computational constraints, we use model compression techniques and efficient model structures to increase the inference speed ...
We are able to reduce storage cost from 55MB to less than 5MB for the model with minimum loss of accuracy. This paper describes the pipelines of building an efficient bird counting system. ...
Zhang, 2016) trained with density maps achieve state of the art performance on crowd counting compared with other architectures. In our system, we also use density map to train the model. ...
arXiv:1912.07106v2
fatcat:2hrfxxxwr5auxpui4rj4r5clwu
Generating Synthetic Audio Data for Attention-Based Speech Recognition Systems
[article]
2020
arXiv
pre-print
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We extend state-of-the-art attention-based automatic speech recognition (ASR) systems with synthetic audio generated by a TTS system trained only on the ASR corpora itself. ...
ASR and TTS systems are built separately to show that text-only data can be used to enhance existing end-to-end ASR systems without the necessity of parameter or architecture changes. ...
The language models are based on the transformer architecture, similar to work presented in [23] . ...
arXiv:1912.09257v2
fatcat:7vjvlzmmw5ezvdfc7glmgdgdiy
A Hybrid GAN Based Approach to Solve Imbalanced Data Problem in Recommendation Systems
2022
IEEE Access
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This inclusion of the PacGAN architecture eliminated the mode collapse problem in our proposed model. We did a two-fold evaluation of our model. ...
We designed the discriminator architecture with the concept of PacGAN to receive m-packed samples as input instead of a single input. ...
In our work, we take the concept of hybrid GAN architecture to generate synthetic click sequence data and oversample the minority class to enhance the performance of recommendation systems. ...
doi:10.1109/access.2022.3141776
fatcat:btxxp4vpy5gvxcbmzs2kc5jmlq
Seismic expression of channel outcrops: Offset stacked versus amalgamated channel systems
2007
Marine and Petroleum Geology
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These were the input for the forward seismic models, which constructed various frequency synthetic seismic sections of the two outcrops. ...
Forward seismic models of two 'seismic scale' outcrops of different style channel systems have been made to investigate their seismic signature. ...
Acknowledgements We would like to thank GX Technology for the EarthWave Gxii modelling software, B. Fulton for drafting, and Sonangol for permission to publish the seismic figures. We also thank I. ...
doi:10.1016/j.marpetgeo.2006.10.009
fatcat:y4u4gmgodvgmrp4kig2l35vjvy
Segmentation of structural parts of rosebush plants with 3D point-based deep learning methods
2022
Plant Methods
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Pre-training with synthetic 3D models boosted the performance of all architectures, except for PointNet. ...
We generated 3D synthetic rosebush models to provide adequate amount of labeled data for modification and pre-training of these architectures. ...
Incorporation of synthetic plants through generative models such as Lindenmayer systems (L-systems) [48, 49] into training data is effective with 2D plant phenotyping [50] . ...
doi:10.1186/s13007-022-00857-3
pmid:35184728
pmcid:PMC8858499
fatcat:2aibu6lj75gj3diiwo35snlr7q
The Deep-Water Architecture Knowledge Base: towards an objective comparison of deep-marine sedimentary systems
2005
Petroleum Geoscience
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to the source area, and the construction of idealized models for sand-rich and mixed mud-sand systems based on probabilities of spatial transitions between architectural elements. ...
system and referred to as the Deep-Water Architecture Knowledge Base (DWAKB). ...
Both systems have predictable arrangement of most architectural elements. In general agreement with existing models, the synthetic sand-rich system lacks levees. ...
doi:10.1144/1354-079304-642
fatcat:wny327ujbvdmvcgdnjgniemzi4
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