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Review of data analysis in vision inspection of power lines with an in-depth discussion of deep learning technology [article]

Xinyu Liu, Xiren Miao, Hao Jiang, Jing Chen
2020 arXiv   pre-print
With the aim of providing a comprehensive overview for researchers who are interested in developing a deep-learning-based analysis system for power lines inspection data, this paper conducts a thorough  ...  Following the typical procedure of inspection data analysis, we categorize current works in this area into component detection and fault diagnosis.  ...  Therefore, they improved the procedure and proposed a fault diagnosis method based on the ensemble learning with multi-level perception.  ... 
arXiv:2003.09802v1 fatcat:2ywazixc2vfq7c35pgzci5gmgq

Hybrid Wavelet Stacking Ensemble Model for Insulators Contamination Forecasting

Stefano Frizzo Stefenon, Matheus Henrique Dal Molin Ribeiro, Ademir Nied, Viviana Cocco Mariani, Leandro Dos Santos Coelho, Valderi Reis Quietinho Leithardt, Luis Augusto Silva, Laio Oriel Seman
2021 IEEE Access  
ACKNOWLEDGMENT The authors are thankful to the Coordination for the Improvement of Higher Education Personnel (CAPES), awarding a doctoral scholarship to one of the authors.  ...  Equipment that assesses the condition of insulators in the system based on the image can be harmed by interference from solar radiation.  ...  With a higher level of contamination, fungi can settle on the surface of the insulator, as can be seen in Figure 1B .  ... 
doi:10.1109/access.2021.3076410 fatcat:573oewdr2vaafapybskmopnudu

PV System Predictive Maintenance: Challenges, Current Approaches, and Opportunities

Lisa B. Bosman, Walter D. Leon-Salas, William Hutzel, Esteban A. Soto
2020 Energies  
return-on-investment and minimize time to warranty claim in PV installations.  ...  Given the size of the problem and gaps with current solutions, the authors propose that PV system owners need an unbiased third-party off-the-shelf system-level predictive maintenance tool to optimize  ...  Predictive Maintenance Based on Machine Learning and Forecasting In general, this approach is moderately expensive and offers a medium amount of detection accuracy.  ... 
doi:10.3390/en13061398 fatcat:r6t6ybrczrerdnsiwvrrmbn4ga

Blending Colored and Depth CNN Pipelines in an Ensemble Learning Classification Approach for Warehouse Application Using Synthetic and Real Data

Paulo Henrique Martinez Piratelo, Rodrigo Negri de Azeredo, Eduardo Massashi Yamao, Jose Francisco Bianchi Filho, Gabriel Maidl, Felipe Silveira Marques Lisboa, Laercio Pereira de Jesus, Renato de Arruda Penteado Neto, Leandro dos Santos Coelho, Gideon Villar Leandro
2021 Machines  
The use of a synthetic dataset improved accuracy, precision, recall and f1-score in comparison with models trained only on the real domain.  ...  The methodology consists of fine-tuning several CNNs on Red–Green–Blue (RBG) and Red–Green–Blue-Depth (RGB-D) synthetic and real datasets, using the best architecture of each domain in a blended ensemble  ...  Conflicts of Interest: The funders had no role in the design of the study; in the collection, analyses, or interpretation of data; in the writing of the manuscript, or in the decision to publish the results  ... 
doi:10.3390/machines10010028 fatcat:ilvsxyrbjrb2lcza6lzqia5dma

2021 Index IEEE Transactions on Instrumentation and Measurement Vol. 70

2021 IEEE Transactions on Instrumentation and Measurement  
Article numbers are based on specified topic areas and corresponding codes associated with the publication.  ...  -that appeared in this periodical during 2021, and items from previous years that were commented upon or corrected in 2021.  ...  ., +, TIM 2021 3512210 Dual-Ensemble Multi-Feedback Neural Network for Gearbox Fault Diagnosis.  ... 
doi:10.1109/tim.2022.3156705 fatcat:dmqderzenrcopoyipv3v4vh4ry

Unmanned Aerial Vehicles (UAVs): A Survey on Civil Applications and Key Research Challenges

Hazim Shakhatreh, Ahmad H. Sawalmeh, Ala Al-Fuqaha, Zuochao Dou, Eyad Almaita, Issa Khalil, Noor Shamsiah Othman, Abdallah Khreishah, Mohsen Guizani
2019 IEEE Access  
Based on our review of the recent literature, we discuss open research challenges and draw high-level insights on how these challenges might be approached.  ...  Smart UAVs are the next big revolution in UAV technology promising to provide new opportunities in different applications, especially in civil infrastructure in terms of reduced risks and lower cost.  ...  A UAV with Tetracam multi-spectral camera was deployed to take aerial image for crop.  ... 
doi:10.1109/access.2019.2909530 fatcat:xgknpyuqazhpvferjkkdohxmtu

Program

2021 2021 IEEE Canadian Conference on Electrical and Computer Engineering (CCECE)  
This motivated the need for new emerging trends such as Edge, Fog, and Pervasive Computing, where we merge hierarchical computing with efficient communication, leveraging learning-based distributed optimization  ...  We will discuss state-of-the-art contributions we have recently published regarding distributed inference/classifications in IoT, and multi-drone systems, taking into consideration privacy and mobility  ...  for Tree Detection in Aerial Images of Rural Areas In this paper, we propose a study to evaluate how saliency methods can highlight and support the segmentation of trees in aerial images.An analysis of  ... 
doi:10.1109/ccece53047.2021.9569199 fatcat:35c7o6f6svc5rgnyhjpbvjp7iy

Program

2022 2022 International Conference on Decision Aid Sciences and Applications (DASA)  
A maximum of 92.90% classification accuracy is obtained using the features of IMF-4 with 10-fold cross-validation. The results conclude that the proposed method can detect AD patients efficiently.  ...  The proposed method can further be used to detect other neurological disorders.  ...  This paper presents an Internet of Things (IoT) based CO2 gas level monitoring and automated decision-making system inside a smart factory using the unmanned aerial vehicle (UAV) and multi-access edge  ... 
doi:10.1109/dasa54658.2022.9765271 fatcat:ttqppf4j3navnaxe653mrzmezi

Program

2021 2021 National Conference on Communications (NCC)  
In the final section, advanced concepts related to the use of modern machine learning and deep learning algorithms on automotive radar data for varied applications such as pedestrian detection, object  ...  The following part of the tutorial will cover the fundamentals of radar detection with a focus on the ubiquitous Neyman-Pearson detection rule, the likelihood ratio test and the constant false alarm rate  ...  In this paper, we have suggested a new transfer-learning-based automatic ALL detection method.  ... 
doi:10.1109/ncc52529.2021.9530194 fatcat:ahdw5ezvtrh4nb47l2qeos3dwq

Comparative Analysis of Different Machine Learning Classifiers for the Prediction of Chronic Diseases [chapter]

Rajesh Singh, Anita Gehlot, Dharam Buddhi
2022 Comparative Analysis of Different Machine Learning Classifiers for the Prediction of Chronic Diseases  
A comparative study of different machine learning classifiers for chronic disease prediction viz Heart Disease & Diabetes Disease is done in this paper.  ...  Precise diagnosis of these diseases on time is very significant for maintaining a healthy life.  ...  The region-based segmentation will segment the data dependent on the taken-out features using GLCM algorithm.  ... 
doi:10.13052/rp-9788770227667 fatcat:da47mjbbyzfwnbpde7rgbrlppe

Conference Digest

2020 2020 IEEE Aerospace Conference  
Learning Algorithms are combined in an ensemble to improve accuracy.  ...  We report on a new Multi-Frame Blind Deconvolution (MFBD) implementation developed to reconstruct high resolution images of Low Earth Orbit (LEO) satellites from short-exposure ensembles of images recorded  ...  ADTM combines Self-Organizing Maps (SOMs) as the basis for modeling system behavior with supervised machine learning techniques for localizing detected anomalies.  ... 
doi:10.1109/aero47225.2020.9172613 fatcat:ioqf5ijrx5gvffu3ls34aa2nsq

Defense Advanced Research Projects Agency (Darpa) Fiscal Year 2019 Budget Estimates

Department Of Defense Comptroller's Office
2018 Zenodo  
Efforts focus on identified medical gaps in warfighter carerelated to health monitoring and preventing the spread of infectious disease.  ...  through cellular,tissue, organ, and whole organism levels.  ...  Accomplishments/Planned Programs ($ in Millions) FY 2017 FY 2018 FY 2019 Title: Aerial Dragnet Description: Aerial Dragnet seeks to detect multiple small Unmanned Aerial Systems (UAS) in complex and/or  ... 
doi:10.5281/zenodo.1215599 fatcat:kxduvg6a5nflhf6iilkwnolobu

Engineering, Technology & Applied Science Research (ETASR), Vol. 11, No. 2, pp. 6845-7068 [article]

Various
2021 Zenodo  
The journal was first published in February 2011. ISSN: 1792-8036 and 2241-4487.  ...  Engineering, Technology & Applied Science Research (ETASR) is an international bimonthly wide scope, peer-reviewed open access journal for the publication of original articles concerned with diverse aspects  ...  ACKNOWLEDGEMENTS The authors would like to thank Yuta Kinoshita for helping in conducting the seismic response analysis.  ... 
doi:10.5281/zenodo.4720665 fatcat:mk2prflstjaa3bhkjenwy22s6u

Three-dimensional point-cloud room model in room acoustics simulations

Milos Markovic, So/ren K. Olesen, Dorte Hammersho/i
2013 Journal of the Acoustical Society of America  
Detection patterns are best predicted by an optimal cuecombination model based on signal-detection theory.  ...  This, in turn, eliminates the influence of higher level processes on phonetic perception in the identification task.  ...  One of challenging tasks required in Bayesian model selection is the exploration of high-dimensional multi-variate spaces such that a key quantity, termed the Bayesian evidence, can be estimated in order  ... 
doi:10.1121/1.4806371 fatcat:ln4w6j7cjvchrckf2gzfmeiwoi

Acoustics of ancient Greek and Roman theaters in use today

Anders Christian Gade, Konstantinos Angelakis
2006 Journal of the Acoustical Society of America  
In this research, holographic diagnosis, a machine diag- nosis technique based on holographic approach, is introduced to find the position of faults effectively.  ...  spectral-based perception.  ...  This problem is analyzed by comparing the time and frequency domains solution of the ray model with models based on the wave number integration technique.  ... 
doi:10.1121/1.4787803 fatcat:3lczeegofreblpjmfixt7gdxv4
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