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A Review of Artificial Intelligence Algorithms Used for Smart Machine Tools

Chih-Wen Chang, Hau-Wei Lee, Chein-Hung Liu
2018 Inventions  
to RNN training [8], the RNN algorithm for the learning of precise timing [9], the RNN encoder-decoder for learning phrase representations [10], the gated RNN method for sequence modeling [11], an overview  ...  In the future, we will propose several AI approaches to tackle mechanical components as well as addressing different AI algorithms to deal with smart machine tools and the acquisition of accurate results  ...  Two quite different techniques for estimating the two types of expectation that enter into the gradient of the log-likelihood made it practical for Boltzmann machines to learn with multiple hidden layers  ... 
doi:10.3390/inventions3030041 fatcat:6qrwhmrl2bfwrgmovqvsyx5p3y

Vision-based and marker-less surgical tool detection and tracking: a review of the literature

David Bouget, Max Allan, Danail Stoyanov, Pierre Jannin
2017 Medical Image Analysis  
Having real-time knowledge of the pose of surgical tools with respect to the surgical camera and underlying anatomy is a key ingredient for such systems.  ...  from the feature extraction process to the model learning strategy and highlight existing shortcomings, and (3) analysis of validation techniques employed to obtain detection performance results and establish  ...  time-of-flight measurements of ultrasonic sound waves to deduce the position and orientation of the target object.  ... 
doi:10.1016/ pmid:27744253 fatcat:ertyp274bvdxrjumxsvmd5mqau

Fouling in Heat Exchangers [chapter]

Hassan Al-Haj
2012 MATLAB - A Fundamental Tool for Scientific Computing and Engineering Applications - Volume 3  
In order to test the applicability of the ANN model using the back propagation learning algorithm to predict the rate of heat transfer and fouling factor for heat exchangers, it was applied on a tube-shell  ...  The purpose of using the ANN model with the considered BP learning algorithm as a practical approach is to test the ability to predict the rate of heat transfer and fouling factor of heat exchanger.  ... 
doi:10.5772/46462 fatcat:qbacinwtmrcgzlhxnek2eworfa

Desk-Research Analysis and Identification of SA and Training Tools

Mateusz Macias
2021 Zenodo  
This document is summary of the state of the art study done to support the ongoing work in the ASSISTANCE project.  ...  The content consists of a desk research performed by the project consortium partners experienced in specific areas focusing on technologies that are improved or developed in ASSISTANCE.  ...  Management Management means supervision on preparation to flights, flights, and evaluation after flights, as well as rest of the crew and keeping documentation (insurances, operational procedures, operational  ... 
doi:10.5281/zenodo.4584704 fatcat:foln2lpxqjehjppjda2ycn6cjy

Deep learning in automated ultrasonic NDE – developments, axioms and opportunities [article]

Sergio Cantero-Chinchilla, Paul D. Wilcox, Anthony J. Croxford
2021 arXiv   pre-print
The analysis of ultrasonic NDE data has traditionally been addressed by a trained operator manually interpreting data with the support of rudimentary automation tools.  ...  These elements are critical to help achieve full artificial intelligence driven automation of ultrasonic NDE so that the research community, industry, and regulatory bodies embrace them.  ...  Acknowledgements The work reported is part of a pilot project (Grant number 100374) funded by Lloyd's Register Foundation and the Alan Turing Institute Data-Centric Engineering Programme.  ... 
arXiv:2112.06650v1 fatcat:lai3xg2he5h47jfudktghq5w7y

Extracting Interactions between Flying Bat Pairs Using Model-Free Methods

Subhradeep Roy, Kayla Howes, Rolf Müller, Sachit Butail, Nicole Abaid
2019 Entropy  
The study used field data from bats in flight and is based on the assumption that interactions between two bats are evidenced in their flight patterns.  ...  The present study explores quantitative methods that can be used to understand whether bats flying in pairs move independently of each other or interact.  ...  On the contrary, CCM is a tool to detect the causal variable and is not an indicator of information transfer.  ... 
doi:10.3390/e21010042 pmid:33266758 fatcat:dydri5g47fhztf57pqp6o7h2dy

Ultrasound Signal Processing: From Models to Deep Learning [article]

Ben Luijten, Nishith Chennakeshava, Yonina C. Eldar, Massimo Mischi, Ruud J.G. van Sloun
2022 arXiv   pre-print
A relatively new paradigm combines the power of the two: leveraging data-driven deep learning, as well as exploiting domain knowledge.  ...  Recently, deep learning based methods have gained popularity, which are optimized in a data-driven fashion.  ...  The proposed U-net architecture thus has to learn both the (geometry-based) time-of-flight correction, as well as the subsequent beamsumming.  ... 
arXiv:2204.04466v1 fatcat:gxfsfzuqxjbzdbnv5oxwsqdxyq

Front Matter: Volume 7286

Proceedings of SPIE, Douglas K. Lindner
2009 Modeling, Signal Processing, and Control for Smart Structures 2009 Paper Numbering: Proceedings of SPIE follow an e-First publication model, with papers published first online and then in print and on CD-ROM.  ...  A unique, consistent, permanent citation identifier (CID) number is assigned to each article at the time of the first publication.  ...  For example, the flaw radius could be estimated from the amplitude of an ultrasonic signal, an ultrasonic time of flight, an eddy current impedance shift, etc.  ... 
doi:10.1117/12.832659 fatcat:2v2zkx3pijdlhjxql6b634zzpq

CONTREX: Design of Embedded Mixed-Criticality CONTRol Systems under Consideration of EXtra-Functional Properties

Ralph Gorgen, Kim Gruttner, Fernando Herrera, Pablo Penil, Julio Medina, Eugenio Villar, Gianluca Palermo, William Fornaciari, Carlo Brandolese, Davide Gadioli, Sara Bocchio, Luca Ceva (+10 others)
2016 2016 Euromicro Conference on Digital System Design (DSD)  
must be available, such as WCET, maximum memory size, and the like modelling methodology/tools An investment of Intecs in learning to use the ForSyDe tool and methodology is required modelling methodology  ...  The functions of the individual parts are: Figure 2. 2 Overview of the model-driven developed flight algorithm in [1]  The set point processing is responsible for the computation of the control signals  ...  Though a certain degree of customization is also expected for sensor nodes, the focus is on the services provided both to end-users and other businesses.  ... 
doi:10.1109/dsd.2016.95 dblp:conf/dsd/GorgenGHPMVPFBG16 fatcat:t4f6yfdmrnfwfozoj2iveywwna

3.12 Inspection and Monitoring of Composite Aircraft Structures [chapter]

Roger M. Groves
2018 Comprehensive Composite Materials II  
This article was originally published in Comprehensive Composite Materials II, published by Elsevier, and the attached copy is provided by Elsevier for the author's benefit and for the benefit of the author's  ...  institution, for noncommercial research and educational use including without limitation use in instruction at your institution, sending it to specific colleagues who you know, and providing a copy to  ...  Further options are available for studying Lamb waves, including the AIC algorithm, used by Miesen et al. 19 to determine time-of-flight of the Lamb wave modes.  ... 
doi:10.1016/b978-0-12-803581-8.10340-6 fatcat:fumafqczq5ddzbrmyyjk6m4xiu

Non-Destructive Evaluation Techniques and What They Tell Us about Wood Property Variation

Laurence Schimleck, Joseph Dahlen, Luis A. Apiolaza, Geoff Downes, Grant Emms, Robert Evans, John Moore, Luc Pâques, Jan Van den Bulcke, Xiping Wang
2019 Forests  
The continued advancement of NDE technologies will also allow researchers to better understand the impact on wood properties on product performance.  ...  To maximize utilization of our forest resources, detailed knowledge of wood property variation and the impacts this has on end-product performance is required at multiple scales (within and among trees  ...  Conflicts of Interest: The authors declare no conflict of interest.  ... 
doi:10.3390/f10090728 fatcat:bpfs33fm4jdzhodxjlsujwchvi

Ultrasonic Methods [chapter]

Vykintas Samaitis, Elena Jasiūnienė, Pawel Packo, Damira Smagulova
2021 Springer Aerospace Technology  
This chapter mainly focuses on long range guided wave structural health monitoring, as aircraft components require rapid evaluation of large components preferably in real time without the necessity for  ...  In general, the properties of ultrasonic waves like velocity, attenuation and propagation characteristics such as reflection, transmission and scattering depend on composition and structural integrity  ...  Different configurations of the technique as well as temperature range was studied. Generally, by changing the temperature signal amplitude, time of flight and velocity can change.  ... 
doi:10.1007/978-3-030-72192-3_5 fatcat:6xg4w57ldfc4lmlvwow63dle4u

Precision Agriculture for Crop and Livestock Farming—Brief Review

António Monteiro, Sérgio Santos, Pedro Gonçalves
2021 Animals  
Precision livestock farming (PLF), relying on the automatic monitoring of individual animals, is used for animal growth, milk production, and the detection of diseases as well as to monitor animal behavior  ...  in the application of technology to agriculture.  ...  Conflicts of Interest: The authors declare no conflict of interest.  ... 
doi:10.3390/ani11082345 fatcat:e3vdetyrafhbdo3sdk2chstj4e

Vocal fold vibratory and acoustic features in fatigued Karaoke singers

Gaowu Wang, Andy Lo, Karen Chan, Jiangping Kong, Edwin Yiu
2012 Journal of the Acoustical Society of America  
Cross-dipole array acoustic well logging tools.  ...  China) Design of multi-functional ultrasonic imaging logging tool. Zhifeng Sun (COSL, P.O.  ...  One group of participants learned to segregate concurrent vowels by using difference in fundamental frequency (ƒ 0 ) while the other group learned to use difference in sound location.  ... 
doi:10.1121/1.4708731 fatcat:cu5chvstgjbzhlhdzd63flz7nu

A Survey on Proactive Customer Care: Enabling Science and Steps to Realize it [article]

Viswanath Ganapathy, Sauptik Dhar, Olimpiya Saha, Pelin Kurt Garberson, Javad Heydari, Mohak Shah
2021 arXiv   pre-print
In recent times, advances in artificial intelligence (AI) and IoT have enabled seamless and viable maintenance of appliances in home and building environments.  ...  algorithms as well as systems research and model deployment.  ...  Acknowledgement We would like to thank our colleague at LG Electronics Advanced AI team, Samarth Tripathy, for assistance with web deployment of the live demo for the Microsoft Azure dataset.  ... 
arXiv:2110.05015v1 fatcat:wjlrvk4hhbhkzlnkokz4pvwzn4
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