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Duet Benchmarking: Improving Measurement Accuracy in the Cloud [article]

Lubomír Bulej, Vojtěch Horký, Petr Tůma, François Farquet, Aleksandar Prokopec
2020 arXiv   pre-print
We investigate the duet measurement procedure, which helps improve the accuracy of performance comparison experiments conducted on shared machines by executing the measured artifacts in parallel and evaluating  ...  We demonstrate improvements in accuracy ranging from 2.3x to 12.5x (5.03x on average) for the tested ScalaBench (and DaCapo) workloads, and from 23.8x to 82.4x (37.4x on average) for the SPEC CPU 2017  ...  Our earlier work [4] introduced the idea of the duet measurement procedure, which improves measurement accuracy in shared resource environments, such as virtual machine instances in the cloud.  ... 
arXiv:2001.05811v1 fatcat:v3hvg3raoffyfbzsn3u7urs6xe

DUET: Cross-modal Semantic Grounding for Contrastive Zero-shot Learning [article]

Zhuo Chen, Yufeng Huang, Jiaoyan Chen, Yuxia Geng, Wen Zhang, Yin Fang, Jeff Z. Pan, Wenting Song, Huajun Chen
2022 arXiv   pre-print
With extensive experiments on three standard ZSL benchmarks and a knowledge graph equipped ZSL benchmark, we find that DUET can often achieve state-of-the-art performance, its components are effective  ...  In this paper, we present a transformer-based end-to-end ZSL method named DUET, which integrates latent semantic knowledge from the pretrained language models (PLMs) via a self-supervised multi-modal learning  ...  As shown in Table 3 , take the vision transformer encoder as the base comparison, DUET achieves significant improvement (8.6%), which verifies its effectiveness.  ... 
arXiv:2207.01328v1 fatcat:lqj76p6m6vdancikkhdfcwchqa

Visual Simultaneous Localization And Mapping (VSLAM) methods applied to indoor 3D topographical and radiological mapping in real-time

Felix Hautot, Philippe Dubart, Charles-Olivier Bacri, Benjamin Chagneau, Roger Abou-Khalil, F. Malvagi, F. Malouch, C.M'B. Diop, J. Miss, J.C. Trama
2017 EPJ Web of Conferences  
New developments in the field of robotics and computer vision enable to merge sensors to allow fast real-time localization of radiological measurements in the space/volume with near real-time radioactive  ...  In this communication, we will present our current developments of an instrument that combines these methods and parameters for specific applications in the field of nuclear investigations. *  ...  In our method, only 3D cameras are used. Using IMUs in order to improve our system accuracy is on of the main perspectives of our current developments.  ... 
doi:10.1051/epjconf/201715301005 fatcat:2hioqm5xcfeorkmcm5mari25ua

Visual Simultaneous Localization and Mapping (VSLAM) methods applied to indoor 3D topographical and radiological mapping in real-time

Felix Hautot, Philippe Dubart, Charles-Olivier Bacri, Benjamin Chagneau, Roger Abou-Khalil
2017 EPJ Nuclear Sciences & Technologies  
New developments in the field of robotics and computer vision enable to merge sensors to allow fast real-time localization of radiological measurements in the space/volume with near real-time radioactive  ...  In this communication, we will present our current developments of an instrument that combines these methods and parameters for specific applications in the field of nuclear investigations. *  ...  In our method, only 3D cameras are used. Using IMUs in order to improve our system accuracy is on of the main perspectives of our current developments.  ... 
doi:10.1051/epjn/2017010 fatcat:rd7hcjb6y5ddjc33rjpio2nvvy

LRSE: A Lightweight Efficient Searchable Encryption Scheme using Local and Global Representations [article]

Ruihui Zhao, Yuanliang Sun, Mizuho Iwaihara
2017 arXiv   pre-print
Cloud computing is emerging as a revolutionary computing paradigm, while security and privacy become major concerns in the cloud scenario.  ...  Extensive experiments performed on benchmark datasets demonstrate that LRSE indeed achieves state-of-the-art search quality with lowest system cost.  ...  Because keyword match based method cannot measure semantic similarities in such cases.  ... 
arXiv:1705.11056v1 fatcat:wd367mj5qrf55jbkkgzv2zkhou

Workload mix definition for benchmarking BPMN 2.0 Workflow Management Systems [article]

Marigianna Skouradaki, Universität Stuttgart, Universität Stuttgart
2018
Benchmarking is an established practice used to compare alternative products and leverages the continuous improvement of technology by setting a clear target in measuring and assessing performance.  ...  However, the need for a standard benchmark for WfMSs is frequently affirmed by the literature.  ...  Thanks to allthe IAAS team forthe stimulating discussionsand forall the fun we have had in the last three years.  ... 
doi:10.18419/opus-9613 fatcat:ygdpsbkyqff4bp5y4zloiff43u

Balancing on the Edge: Transport Affinity without Network State

João Taveira Araújo, Lorenzo Saino, Lennert Buytenhek, Raul Landa
2018 Symposium on Networked Systems Design and Implementation  
to the Proceedings of the 15th USENIX Symposium on Networked Systems Design and Implementation is sponsored by USENIX.  ...  Faild was originally conceived by Artur Bergman and Tyler McMullen, and owes much to the many engineers at Fastly who contributed to its implementation and operation over the past four years.  ...  Acknowledgments We would like to thank our shepherd KyoungSoo Park and the anonymous reviewers for their feedback.  ... 
dblp:conf/nsdi/AraujoSBL18 fatcat:xrjlqdbij5fwrothpmg34uxfya

Energon: Towards Efficient Acceleration of Transformers Using Dynamic Sparse Attention [article]

Zhe Zhou and Junlin Liu and Zhenyu Gu and Guangyu Sun
2022 arXiv   pre-print
By this means, we significantly mitigate the computational cost with negligible accuracy loss.  ...  We adopt low bitwidth in each filtering round and only use high-precision tensors in the attention stage to reduce overall complexity.  ...  Throughput Improvement: We estimate the throughput of Energon accelerators on all the benchmarks via simulation. The speedup over baseline platforms is shown in Figure 11 .  ... 
arXiv:2110.09310v2 fatcat:kvargi5k5nfrzlcyqk623vh3ri

A Systematic Survey of Attack Detection and Prevention in Connected and Autonomous Vehicles [article]

Trupil Limbasiya, Ko Zheng Teng, Sudipta Chattopadhyay, Jianying Zhou
2022 arXiv   pre-print
However, the importance of attack detection and prevention approaches for CAVs has not been discussed extensively in the state-of-the-art surveys, and there is a clear gap in the existing literature on  ...  This survey paper, therefore, presents the significance of CAVs in the market, potential challenges in CAVs, key requirements of essential security and privacy properties, various capabilities of adversaries  ...  Acknowledgement This work is supported by the grant from Land Transport Authority (LTA), Singapore (LTA-UMGC-L011). We thank LTA colleagues and project team members for their helpful input.  ... 
arXiv:2203.14965v2 fatcat:tsuioooylrfxpmxiyd3frht5s4

Privacy and Trust Redefined in Federated Machine Learning

Pavlos Papadopoulos, Will Abramson, Adam J. Hall, Nikolaos Pitropakis, William J. Buchanan
2021 Machine Learning and Knowledge Extraction  
A common privacy issue in traditional machine learning is that data needs to be disclosed for the training procedures.  ...  Only entities in possession of Verifiable Credentials issued from the appropriate authorities are able to establish secure, authenticated communication channels authorised to participate in a federated  ...  To measure the accuracy of FL algorithm is similar to the traditional ML. Four metrics described in the list below [66, 67] , are used for the calculation as follows: 1.  ... 
doi:10.3390/make3020017 fatcat:zwci2c4rnbh5jil5p5cu5khubq

A Comprehensive Review of Available Battery Datasets, RUL Prediction Approaches, and Advanced Battery Management

Shahid A. Hasib, S. Islam, Ripon K. Chakrabortty, Michael J. Ryan, D. K. Saha, Md H. Ahamed, S. I. Moyeen, Sajal K. Das, Md F. Ali, Md R. Islam, Z. Tasneem, Faisal R. Badal
2021 IEEE Access  
Better knowledge of data sets may also improve battery management by improving the accuracy of battery state estimation.  ...  Again in 2019, the UKF method has been hybridized with a back propagation (BP) neural network to improve the approximation accuracy of RUL of LIBs in [224] .  ...  She has research interests in the following fields-aerodynamics of wind turbine, power electronics in the renewable energy sector and control system. VOLUME 4, 2016  ... 
doi:10.1109/access.2021.3089032 fatcat:raljob6xprf77o4p5vdm6xbpzi

RGB-D-based Human Motion Recognition with Deep Learning: A Survey [article]

Pichao Wang and Wanqing Li and Philip Ogunbona and Jun Wan and Sergio Escalera
2018 arXiv   pre-print
Along with the development in artificial intelligence, deep learning techniques have gained remarkable success in computer vision.  ...  Human motion recognition is one of the most important branches of human-centered research activities. In recent years, motion recognition based on RGB-D data has attracted much attention.  ...  rotation on the 3D point cloud.  ... 
arXiv:1711.08362v2 fatcat:cugugpqeffcshnwwto4z2aw4ti

THE IMPORTANCE OF INFORMATION SOURCES IN EFFECTIVE LISTENING PROCESS IN ORGANIZATIONS

Monica BÂLDEA, Ancuţa BĂLTEANU
2014 Fiabilitate şi Durabilitate  
In this sense, the premise of analysis is the source of information involved in the communication process management in an organization.  ...  Practicing effective listening will take place both in relation to the external environment - through the power of information from customers of the organization - and in relation to the internal environment  ...  A set of measurements was made for the accuracy of geometry [12] .  ... 
doaj:f15cf4d2fdcc45a18ae970ddf40df0cb fatcat:ydaxiawy7ve25fcbgjt7ald3de

Digital Twins from Smart Manufacturing to Smart Cities: A Survey

Georgios Mylonas, Athanasios Kalogeras, Georgios Kalogeras, Christos Anagnostopoulos, Christos Alexakos, Luis Munoz
2021 IEEE Access  
ACKNOWLEDGMENT This work has been partially supported by the project "I3T-Innovative Application of Industrial Internet of Things (IIoT) in Smart Environments" (MIS 5002434), implemented under the "Action  ...  for the Strategic Development on the Research and Technological Sector", funded by the Operational Programme "Competitiveness, Entrepreneurship and Innovation" (NSRF 2014-2020) and co-financed by Greece  ...  , e.g., less need to send sensor measurements or offload computing tasks to the cloud, which in turn means that DT models can converge to the real-world behaviour in a much faster time period, while also  ... 
doi:10.1109/access.2021.3120843 fatcat:i2v476zwjndfhe7qapyhcefh6m

CycleDRUMS: Automatic Drum Arrangement For Bass Lines Using CycleGAN [article]

Giorgio Barnabò, Giovanni Trappolini, Lorenzo Lastilla, Cesare Campagnano, Angela Fan, Fabio Petroni, Fabrizio Silvestri
2021 arXiv   pre-print
accumulated in the last century.  ...  In the symbolic domain, the key problem of automatically arranging a piece music was extensively studied, while relatively fewer systems tackled this challenge in the audio domain.  ...  The model accuracy on test set was 87% for CycleDRUMS and 93% for Pix2Pix.  ... 
arXiv:2104.00353v2 fatcat:fpssvl34tvhodguv4vlzijezwm
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