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Dual-Output Mode Analysis of Multimode Laguerre-Gaussian Beams via Deep Learning

Xudong Yuan, Yaguang Xu, Ruizhi Zhao, Xuhao Hong, Ronger Lu, Xia Feng, Yongchuang Chen, Jincheng Zou, Chao Zhang, Yiqiang Qin, Yongyuan Zhu
2021 Optics  
These results show that our method has good abilities of generalization and robustness and allows for nearly real-time modal analysis.  ...  In addition, the computation time of the model for a single test sample takes only 0.975 ms on average.  ...  All authors have read and agreed to the published version of the manuscript. Institutional Review Board Statement: Not applicable. Informed Consent Statement: Not applicable.  ... 
doi:10.3390/opt2020009 fatcat:6z5vh7oqqrcw3ei42ffr7eiasm

Predicting complex events for pro-active IoT applications

Adnan Akbar, Francois Carrez, Klaus Moessner, Ahmed Zoha
2015 2015 IEEE 2nd World Forum on Internet of Things (WF-IoT)  
Most of these solutions are reactive in nature as CEP acts on real-time data and does not exploit historical data.  ...  The widespread use of IoT devices has opened the possibilities for many innovative applications. Almost all of these applications involve analyzing complex data streams with low latency requirements.  ...  Although CEP provide solutions to deal with data streams in real-time but it lacks the predictive power provided by Machine Learning (ML) and statistical data analysis methods.  ... 
doi:10.1109/wf-iot.2015.7389075 dblp:conf/wf-iot/AkbarCMZ15 fatcat:4oazfs6o3vfqzmcwispglfuoaa

Realtime stock prediction using Transformations and Modeling

2021 Journal of Contemporary Issues in Business and Government  
Stock viewer module consists of reading real time stock tick data parameters like daily-high, daily-low, daily-range, ask, bid, last-tradeamount, ebitda, market-capitalization, pe-ratio, volume, etc. and  ...  Sentiment Analyzer integrates parses the stock news and integrates the effect of Facebook and twitter into stock predictions., AI Filters and AI Modelers will filter the data and will have real time AI  ...  Real time stocks for 100 days are used in the analysis of two different company stocks.Average Error computation of stock with varying ANN Model and Transformed ANN model Model Average absolute error  ... 
doi:10.47750/cibg.2021.27.03.263 fatcat:4ouoccmehzhylbmffixi5ll64m

Designing intelligent disaster prediction models and systems for debris-flow disasters in Taiwan

Hsu-Yang Kung, Chi-Hua Chen, Hao-Hsiang Ku
2012 Expert systems with applications  
The proposed prediction models are based on linear regression, multivariate analysis, and back-propagation networks.  ...  The chosen disaster factors in this study are classified as non-real-time factors and real-time factors.  ...  Acknowledgment The research is supported by the National Science Council of Taiwan under the Grant Nos. NSC 100-2218-E-020-001 and NSC 100-2218-E-020-002.  ... 
doi:10.1016/j.eswa.2011.11.083 fatcat:bajcsdzrxvahpaizsgix4mdq2a

2020 IEEE 26th International Conference on Embedded and Real-Time Computing Systems and Applications (RTCSA)

2020 2020 IEEE 26th International Conference on Embedded and Real-Time Computing Systems and Applications (RTCSA)  
for Parallel Real-Time Tasks Glanon, Philippe Cyclic Scheduling of Loop-Intensive Applications on Heterogeneous Multiprocessor Architectures Author Index-H Hao, Yifan Scheduling Real-time Deep Learning  ...  of Loop-Intensive Applications on Heterogeneous Multiprocessor Architectures Muehl, Gero ILP-Based Routing and Scheduling of Multicast Realtime Traffic in Time-Sensitive Networks Murray-Tuite, Pamela  ... 
doi:10.1109/rtcsa50079.2020.9203727 fatcat:x5bjijat5jfstn6lpgtyk7ohb4

A Depth Estimation System for Laboratory Studies using Video Imagery

Alec Torres, Rodolfo Silva
2008 American Journal of Environmental Sciences  
Pixel intensity time series from a virtual array in the rectified images are analyzed using the depth estimation technique developed by Stockdon and Holman.  ...  The relative depth estimation error for this idealized case is 2.3%. This accuracy is explained by the use of a linear model for the wave propagation simulation.  ...  of Technology under the scholarship number 168776.  ... 
doi:10.3844/ajessp.2008.229.237 fatcat:wpdyfno22zbixmu7m67xugpike

Predictive Analytics for Complex IoT Data Streams

Adnan Akbar, Abdullah Khan, Francois Carrez, Klaus Moessner
2017 IEEE Internet of Things Journal  
The requirements of analyzing heterogeneous data streams and detecting complex patterns in near real-time have raised the prospect of Complex Event Processing (CEP) for many internet of things (IoT) applications  ...  Although CEP provides a scalable and distributed solution for analyzing complex data streams on the fly, it is designed for reactive applications as CEP acts on near real-time data and does not exploit  ...  CEP provides solutions to deal with data streams in near real-time but it lacks the predictive power provided by many machine learning (ML) and statistical data analysis methods.  ... 
doi:10.1109/jiot.2017.2712672 fatcat:fpzg3nujrbfojhfrcfc3uamjga

Atmospheric Limitations on Antenna Pointing Performance

P.K. Lee
1979 Journal of Spacecraft and Rockets  
The resultant rms error or standard deviation from the linear model is smaller than that of the mean model because of the real-time environmental data.  ...  One technique is to employ known radio refractivity profiles or ray bending data for estimation without use of real-time environmental data.  ... 
doi:10.2514/3.57629 fatcat:md5ufjt4ofbitevu7tx5fyn4zi

Real-time 3-D space numerical shake prediction for earthquake early warning

Tianyun Wang, Xing Jin, Yandan Huang, Yongxiang Wei
2017 Earthquake Science  
In earthquake early warning systems, real-time shake prediction through wave propagation simulation is a promising approach.  ...  In this paper, we propose a 3-D space numerical shake prediction method, which simulates the wave propagation in 3-D space using radiative transfer theory, and incorporate data assimilation technique to  ...  This study was supported by the National Key Technology Research and Development Program of the Ministry of Science and Technology of China(grant No. 2014BAK03B02) and Science for Earthquake Resilience  ... 
doi:10.1007/s11589-017-0196-1 fatcat:acaurk6jwvbglcg2gpz6mcjxgq

High resolution multispectral video capture with a hybrid camera system

Xun Cao, Xin Tong, Qionghai Dai, Stephen Lin
2011 CVPR 2011  
The propagation algorithm is designed for rapid computation to allow real-time video generation at the original frame rate, and can thus facilitate real-time video analysis tasks such as tracking and surveillance  ...  We evaluate the proposed system using both simulations with ground truth data and on real-world scenes.  ...  Also, a time-consuming reconstruction step is necessary for both CTIS and CASSI, which makes them unsuitable for use in real-time video processing applications.  ... 
doi:10.1109/cvpr.2011.5995418 dblp:conf/cvpr/CaoTDL11 fatcat:c77qjnmvzje2bgeojyx7rpzr34

A Review On Accuracy and Uncertainty of Spatial Data and Analyses with special reference to Urban and Hydrological Modelling

A.A Devendran, G. Lakshmanan
2014 ISPRS Annals of the Photogrammetry, Remote Sensing and Spatial Information Sciences  
Data quality for GIS processing and analysis is becoming an increased concern due to the accelerated application of GIS technology for problem solving and decision making roles.  ...  any field of application.  ...  The uncertainties in spatial data and analysis result from four major factors: (i) inherent uncertainty in the real world, (ii) the limitation of human knowledge in cognition of the real world, (iii) the  ... 
doi:10.5194/isprsannals-ii-8-171-2014 fatcat:23saxr4lsbfsrhvobmsteffuqq

AADL and model-based engineering

Peter H. Feiler
2014 Proceedings of the 2014 ACM SIGAda annual conference on High integrity language technology - HILT '14  
Public reporting burden for the collection of information is estimated to average 1 hour per response, including the time for reviewing instructions, searching existing data sources, gathering and maintaining  ...  the data needed, and completing and reviewing the collection of information.  ...  Error Model analysis of integrated model detects unhandled propagation.  ... 
doi:10.1145/2663171.2663174 dblp:conf/sigada/Feiler14 fatcat:mddvd4nlurh65o6zopy5jrziay

Time-Delay Mapping of High-Resolution Gastric Slow-Wave Activity

Niranchan Paskaranandavadivel, Gregory O'Grady, Leo K. Cheng
2017 IEEE Transactions on Biomedical Engineering  
This method is labor and computationally intensive and is not well suited for real-time clinical use or chronic monitoring.  ...  and tracking of individual propagating wavefronts, without the need for comprehensive standard event-detection analysis.  ...  Acknowledgments This work was supported in part by the Health Research Council of New Zealand and the National Institutes of Health (R01 DK64775) and the New Zealand Medical Technologies Centre of Research  ... 
doi:10.1109/tbme.2016.2548940 pmid:27071158 pmcid:PMC5292208 fatcat:tbiiyr5pivcgzfsnhc5kncusze

OptFROG - Analytic signal spectrograms with optimized time-frequency resolution [article]

O. Melchert, B. Roth, U. Morgner, A. Demircan
2018 arXiv   pre-print
A Python package for the calculation of spectrograms with optimized time and frequency resolution for application in the analysis of numerical simulations on ultrashort pulse propagation is presented.  ...  Our aim is to yield a time-frequency representation of the input signal with marginals that represent the original intensities per unit time and frequency similarly well.  ...  The applicability of the spectrogram to both, data retrieved from experiments [2, 3, 4, 5] where it is referred to as frequency resolved optical gating (FROG) analysis, as well as from numerical simulations  ... 
arXiv:1809.00374v1 fatcat:nv4qdfxl5jc3tp5p4ajskbyosu

On the Electromagnetic Diffraction Propagation Model and Applications

Songlin Li, Guolong Cui, Shisheng Guo, Chao Jia, Lingjiang Kong, Xiaobo Yang
2020 IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing  
Assuming that the geometric structure of the scenario is known earlier, we introduce an application of the destination location behind the corner based on the propagation of the EM wave diffraction.  ...  Finally, the numerical simulation and real data results demonstrate that a micromotion target and moving target can be localized exploiting the proposed approach.  ...  Hence, the target echo amplitude intensity is high only near the corner. 2) Real Data Experiment Analysis: To further verify the existence of the EM wave propagation phenomena aforementioned in real environment  ... 
doi:10.1109/jstars.2020.2974529 fatcat:be5g5ipdr5bzxogcd7ttcxrsfi
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