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Heterogeneous Grid Convolution for Adaptive, Efficient, and Controllable Computation
[article]
2021
arXiv
pre-print
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This paper proposes a novel heterogeneous grid convolution that builds a graph-based image representation by exploiting heterogeneity in the image content, enabling adaptive, efficient, and controllable ...
By using the developed module, the paper proposes heterogeneous grid convolutional networks, highly efficient yet strong extension of existing architectures. ...
Acknowledgement This paper is partially based on results obtained from a project commissioned by the New Energy and Industrial Technology Development Organization (NEDO) and supported by JSPS KAKENHI Grant ...
arXiv:2104.11176v1
fatcat:4lkbvzvkgzadfe7dgqm6ah4sgq
Adaptive Surrogate Estimation with Spatial Features Using a Deep Convolutional Autoencoder for CO2 Geological Sequestration
2021
Energies
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This paper develops a reliable deep-learning framework to extract latent features from spatial properties and investigates adaptive surrogate estimation to sequester CO2 into heterogeneous deep saline ...
Our deep-learning architecture includes a deep convolutional autoencoder (DCAE) and a fully-convolutional network to not only reduce computational costs but also to extract dimensionality-reduced features ...
In addition, the large number of operations, e.g., dot products between the kernel and the feature map, and the training parameters decrease the computational efficiency; the computing cost of adaptive ...
doi:10.3390/en14020413
fatcat:ohapxmzzcjdlrk3aibt4at22pm
2020 Index IEEE Transactions on Industrial Informatics Vol. 16
2020
IEEE Transactions on Industrial Informatics
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-5149 Meng, K., see Zhang, Y., TII July 2020 4390-4402 Meng, K., Jia, Y., Yang, H., Niu, F., Wang, Y., and Sun, D., Motion Planning and Robust Control for the Endovascular Navigation of a Microrobot ...
Moulay, E., Online GMM Clustering and Mini-Batch Gradient Descent Based Optimization for Industrial IoT 4.0; 1427-1435 Messina, F., see Fortino, G., TII Sept. 2020 6133-6142 Mi, C., see Zhu, C., TII ...
.,
+, TII April 2020 2707-2715
Digital signatures
A Secure and Efficient Key Establishment Scheme for Communications of
Smart Meters and Service Providers in Smart Grid. ...
doi:10.1109/tii.2021.3053362
fatcat:blfvdtsc3fdstnk6qoaazskd3i
Deep Learning for Real Time Crime Forecasting
[article]
2017
arXiv
pre-print
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Second, we adapt hierarchical structures of residual convolutional units to train multi-factor crime prediction models. ...
These distributions are of very low regularity in both space and time. ...
Penghang Yin for fruitful discussions. This work was supported by ONR grant N00014-16-1-2119, ARO MURI grant W911NF-11-1-0332, NSF grants DMS-1118971 and DMS-1417674. ...
arXiv:1707.03340v1
fatcat:2vn7jp34fvhnzmddqfswuxwhku
Convolution Filtering of Continuous Signed Distance Fields for Polygonal Meshes
2015
Computer graphics forum (Print)
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Several applications are presented such as blending, metamorphosis and heterogeneous modelling with polygonal meshes. ...
The focus of this work is to efficiently evaluate the signed distance function and to apply a smoothing filter to it while preserving the shape of the initial mesh. ...
The Stanford bunny model is courtesy of the Stanford University Computer Graphics Laboratory. ...
doi:10.1111/cgf.12599
fatcat:4ngdxkb6bbfftfi6552he4xhqq
2020 Index IEEE Transactions on Emerging Topics in Computational Intelligence Vol. 4
2020
IEEE Transactions on Emerging Topics in Computational Intelligence
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., +, TETCI Feb. 2020 23-31
Peer-to-peer computing
Efficient Search and Lookup in Unstructured P2P Overlay Networks Inspired
by Swarm Intelligence. ...
Long, N.K., +, TETCI Aug. 2020 523-537 Telecommunication computing Deep Learning Based Hotspot Prediction and Beam Management for Adaptive Virtual Small Cell in 5G Networks. ...
doi:10.1109/tetci.2020.3042423
fatcat:qj6bpqfey5gpjhqe7zvgg644l4
Radioastronomy Image Synthesis on the Cell/B.E
[chapter]
2008
Lecture Notes in Computer Science
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In this paper, we analyze data gridding and degridding, a very time-consuming kernel of radioastronomy image synthesis. ...
To tackle its its dynamic behavior, we devise and implement a parallelization strategy for the Cell/B.E. multi-core processor, offering a cost-efficient alternative compared to classical supercomputers ...
We would like to thank Michael Perrone, Gordon Braudaway, Fabrizzio Petrini and Daniele Scarpazza for their valuable support and ideas during the development of this application. ...
doi:10.1007/978-3-540-85451-7_80
fatcat:26alc5c55re7tb4znyhmivytd4
An encoder-decoder deep surrogate for reverse time migration in seismic imaging under uncertainty
[article]
2020
arXiv
pre-print
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RTM, however, is time-consuming and data-intensive as it requires computing twice the wave equation to generate and store an imaging condition. ...
Reverse time migration (RTM) is a high-resolution depth migration approach useful for extracting information such as reservoir localization and boundaries. ...
This work is also partially supported by FAPERJ (grant E-26/203.018/2017), CNPq (grant 302489/2016-9), and Petrobras (grant 2017/00148-9). ...
arXiv:2006.09550v1
fatcat:45rkw3vapvfwhpi4xopa25ijlm
GPGPU Accelerated Deep Object Classification on a Heterogeneous Mobile Platform
2016
Electronics
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Namely, the proposed approach relies on a heterogeneous CPU-GPU scheme for performing convolutions in the transform domain. ...
The computational and memory requirements of such networks are however huge, and that is an issue on embedded devices due to their constraints. ...
Acknowledgments: We would like to thank Attilio Fiandrotti and Skjalg Lepsoy for their helpful comments and suggestions. ...
doi:10.3390/electronics5040088
fatcat:oexwebv5wvarlomsmxihvvd2qi
Table of Contents
2020
IEEE Transactions on Industrial Informatics
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Bhuvaneswari 7349 Adaptive Discrete ZND Models for Tracking Control of Redundant Manipulator . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . ...
Maritime Search and Rescue Based on Group Mobile Computing for Unmanned Aerial Vehicles and Unmanned Surface Vehicles . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . ...
doi:10.1109/tii.2020.3022301
fatcat:7n2bzwx72bcencda27ey54zj6m
A Heterogeneous Multicore System on Chip for Energy Efficient Brain Inspired Computing
2018
IEEE Transactions on Circuits and Systems - II - Express Briefs
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Convolutional Neural Networks (CNNs) have revolutionized computer vision, speech recognition and other fields requiring strong classification capabilities. ...
and peak performance of 14 GMAC/s @ 1.2V, leaving 1.2 GMAC/s available for generalpurpose parallel processing. ...
As a way to understand how well convolutional layer execution (c) Efficiency of conv layer for HWCE and HWCE+MMUL while varying computation over communication ratio. 127 110 a For ASICs and Mia Wallace ...
doi:10.1109/tcsii.2017.2652982
fatcat:g4w6favd2bbcbomezvazbb3th4
Editorial for September 2020 issue
2020
CSI Transactions on ICT
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This novel system saves considerable computation resources of IoT devices and rapidly adapts to various data sources with different distortion levels. ...
The authors also present an enhanced and efficient scheme, which is secure against Type 1, and Type II attacks and compare the proposed scheme with existing schemes in terms of computation and communication ...
doi:10.1007/s40012-020-00311-6
fatcat:pmkjtxqynfcrxb3sda7lhuxpga
ICUMT 2020 Table of Contents
2020
2020 12th International Congress on Ultra Modern Telecommunications and Control Systems and Workshops (ICUMT)
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T 0 P ABCDEFGHILMNOPQRST_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ Technical Perspectives of Contact-Tracing Applications on Wearables for COVID-19 Control The Method and Methodology o f Efficiency Assessment ...
a _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ S T Q P ABCDEFGHILMNOPQRST_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ SCADA-based Message Generator for Multi-Vendor Smart Grids: Integration and Verification ...
doi:10.1109/icumt51630.2020.9222452
fatcat:xlixcrofuvc4xefpf3zqms2gde
Papers by Title
2021
2021 International Conference on Advanced Technologies for Communications (ATC)
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Collision Avoidance Scheduling based on Traffic and Priority for IoT Sensor Networks Adaptive Sampling for Saving Energy: A Case Study on The Libelium-based Environment Monitoring Systems An Edge-AI Heterogeneous ...
with TXOP-Bursting and AIFS Control Low-Latency and Secure Computation Offloading Assisted by Hybrid Relay-Reflecting Intelligent Surface Compressed Sensing Spectrum Reconstruction in Multi-Level Power ...
doi:10.1109/atc52653.2021.9598173
fatcat:ke4fex2jyvdjdhmczc73s2awfa
Detailed Technical Programme Schedule
2020
2020 Sixth International Conference on Parallel, Distributed and Grid Computing (PDGC)
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Emerging Challenges in Distributed Energy Grid for Sustainable and , Ph.D., SMIEEE Professor, School of Computer Science and Engineering (Joint Appointment: School of IT Convergence) College of Information ...
Technology, Waknaghat , Panipat Institute of Engineering and Technology, Panipat Emerging Challenges in Distributed Energy Grid for Sustainable and Appointment: School of 05.1: Distributed Computing, ...
doi:10.1109/pdgc50313.2020.9315322
fatcat:4ndwytytovb7xkntz7bmaurj6a
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