Bibliografías temáticas / FZG machine

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Literatura académica sobre el tema "FZG machine"

Autor: Grafiati
Publicado: 7 de octubre de 2023

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Artículos de revistas sobre el tema "FZG machine"

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Höhn, B. R., and H. Winter. "Laboratories at work: Institute for machine elements, Gear Research Centre (FZG)." Tribotest 3, no. 3 (1997): 325–40. http://dx.doi.org/10.1002/tt.3020030306.

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Hargreaves, D. J., and Anton Planitz. "Assessing the energy efficiency of gear oils via the FZG test machine." Tribology International 42, no. 6 (2009): 918–25. http://dx.doi.org/10.1016/j.triboint.2008.12.016.

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Winter, H. "Integrating Universities and Industry—A German Approach." Proceedings of the Institution of Mechanical Engineers, Part B: Management and engineering manufacture 202, no. 1 (1988): 9–17. http://dx.doi.org/10.1243/pime_proc_1988_202_041_02.

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Starting from a list of topics which were suggested by the Institution of Mechanical Engineers this paper surveys the situation at German technical universities in the field of mechanical engineering. The details of teaching and research activities described here refer to the Institute for Machine Elements, Technical University of Munich, but the principles of the organization and the structure are mostly comparable with corresponding institutes at other universities in the Federal Republic of Germany. The following subjects will be discussed: 1. The organization of German technical universiti
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Massocchi, Davide, Marco Lattuada, Steven Chatterton, and Paolo Pennacchi. "SRV Method: Lubricating Oil Screening Test for FZG." Machines 10, no. 8 (2022): 621. http://dx.doi.org/10.3390/machines10080621.

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Governments and institutions have the following sustainable development goals: the improvement of energy efficiency and the reduction of CO2 emissions, in a “green economy” approach, have currently become the fundamental drivers that push research and development activity toward the optimization of rotating machine components in the industrial sector, with a special focus on lubrication systems too. The activity is directed towards the optimization of tribological testing methods and equipment to better discriminate the performance of lubricants in operating conditions as predictive as possibl
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Ayel, J., Y. Kraus, and J. P. Michel. "Séverisation de l'essai de capacité de charge des lubrifiants sur machine a engrenages FZG." Revue de l'Institut Français du Pétrole 40, no. 6 (1985): 831–42. http://dx.doi.org/10.2516/ogst:1985049.

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Durand de Gevigney, J., C. Changenet, F. Ville, and P. Velex. "Thermal modelling of a back-to-back gearbox test machine: Application to the FZG test rig." Proceedings of the Institution of Mechanical Engineers, Part J: Journal of Engineering Tribology 226, no. 6 (2012): 501–15. http://dx.doi.org/10.1177/1350650111433243.

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A thermal model of a back-to-back gear test rig relying on a network approach is presented in which the predictions of temperatures and power losses are coupled. The numerical findings are in good agreement with the measurements for transient regimes on a FZG test rig and it is demonstrated that the proposed simulation is reliable. A number of results are presented which illustrate the influence of the pinion and gear immersion depths. It is found that, in certain conditions, the classic isothermal method for estimating integral temperatures is questionable because the actual bulk temperature
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Tao, J., T. G. Hughes, H. P. Evans, et al. "Elastohydrodynamic Lubrication Analysis of Gear Tooth Surfaces From Micropitting Tests." Journal of Tribology 125, no. 2 (2003): 267–74. http://dx.doi.org/10.1115/1.1510881.

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The paper presents numerical results for the elastohydrodynamic lubrication of gear teeth using real surface roughness data taken from micropitting tests carried out on an FZG gear testing machine. Profiles and load conditions corresponding to four load stages in the micropitting test protocol are considered. Elastohydrodynamic film thickness and pressure analyses are presented for conditions having a slide/roll ratio of 0.3 during the single tooth contact phase of the meshing cycle. Comparisons are also included showing the elastohydrodynamic response of the tooth contacts at different times
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Hlebanja, Gorazd. "Gradual development of S-shaped gears." MATEC Web of Conferences 366 (2022): 01001. http://dx.doi.org/10.1051/matecconf/202236601001.

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Search for an improved gear tooth flank shape arose from heavy industry problems rolling mills. Original involute gears suffered severe flank damages. So, better gear teeth flanks should improve contact circumstances, decrease the flank pressure, and enhance a lubrication film. This was achieved by a curved, pole symmetric path of contact by purely graphical methods. And the developed gears, proven in heavy industry applications, showed highly improved properties. Specimens of both gear geometries, which were made of tempered and nitrided alloy steel, were tested on an FZG testing machine, and
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Arri, Harwant Singh, Ramandeep Singh, Sudan Jha, Deepak Prashar, Gyanendra Prasad Joshi, and Ill Chul Doo. "Optimized Task Group Aggregation-Based Overflow Handling on Fog Computing Environment Using Neural Computing." Mathematics 9, no. 19 (2021): 2522. http://dx.doi.org/10.3390/math9192522.

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It is a non-deterministic challenge on a fog computing network to schedule resources or jobs in a manner that increases device efficacy and throughput, diminishes reply period, and maintains the system well-adjusted. Using Machine Learning as a component of neural computing, we developed an improved Task Group Aggregation (TGA) overflow handling system for fog computing environments. As a result of TGA usage in conjunction with an Artificial Neural Network (ANN), we may assess the model’s QoS characteristics to detect an overloaded server and then move the model’s data to virtual machines (VMs
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Alalibo, Belema P., Bing Ji, and Wenping Cao. "Short Circuit and Broken Rotor Faults Severity Discrimination in Induction Machines Using Non-invasive Optical Fiber Technology." Energies 15, no. 2 (2022): 577. http://dx.doi.org/10.3390/en15020577.

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Multiple techniques continue to be simultaneously utilized in the condition monitoring and fault detection of electric machines, as there is still no single technique that provides an all-round solution to fault finding in these machines. Having various machine fault-detection techniques is useful in allowing the ability to combine two or more in a manner that will provide a more comprehensive application-dependent condition-monitoring solution; especially, given the increasing role these machines are expected to play in man’s transition to a more sustainable environment, where many more elect
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Tesis sobre el tema "FZG machine"

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Grenet, de Bechillon Nicolas. "Approche multi-échelles pour l'étude du grippage des dentures d'engrenages." Electronic Thesis or Diss., Lyon, INSA, 2023. http://www.theses.fr/2023ISAL0024.

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La prochaine génération de moteurs civils nécessite l’intégration de réducteurs à engrenages afin de permettre l’augmentation du rendement. Afin de concevoir un produit fiable, il convient de s’intéresser aux différents modes de défaillance et en particulier le grippage des dentures. Le grippage engendre une dégradation de l’état de surface des dentures, qui se traduit par une réduction du rendement de la transmission. Cet endommagement est caractérisé par la formation et l’arrachement de microsoudures au cours de l’engrènement. De nombreux critères ont été mis en place afin de tenter de prédi
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Badokhon, Alaa. "An Adaptable, Fog-Computing Machine-to-Machine Internet of Things Communication Framework." Case Western Reserve University School of Graduate Studies / OhioLINK, 2017. http://rave.ohiolink.edu/etdc/view?acc_num=case1492450137643915.

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Holas, Jiří. "Modernizace řízení frézky FNG." Master's thesis, Vysoké učení technické v Brně. Fakulta strojního inženýrství, 2021. http://www.nusl.cz/ntk/nusl-442843.

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This thesis deals with a proposal modernisation of control and electroinstalation of the milling machine FNG 32. The thesis is divided into several sections: The first section is dedicated to the research of the milling machine and the description of its current condition. The second section deals with possible options of retrofitting and with the components.The third section includes the technical and economical evaluation and the selection of the solution. In the next section, the selected components are described and an electronic documentation of the machine has been created in EPLAN. In t
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Gullo, Thomas W. "A Methodology to Evaluate the Dynamic Behavior of Back-to-back Test Machines." The Ohio State University, 2019. http://rave.ohiolink.edu/etdc/view?acc_num=osu1555588592218025.

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Lu, Shen. "Early identification of Alzheimer's disease using positron emission tomography imaging and machine learning." Thesis, University of Sydney, 2020. https://hdl.handle.net/2123/23735.

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Dementia is a chronic neurodegenerative disease impacting millions of elderlies globally every single day. There are several well-known forms of dementia. Alzheimer’s Disease (AD) is the most prevalent and deadly with no known cure. However, there are effective interventions to delay onset of AD only if it is detected early. Fludeoxyglucose/Pittsburgh compound B Positron Emission Tomography (FDG/PiB PET) is one of the most effective medical imaging modalities used by doctors for early AD identification for prospective patients. The task of diagnosing AD by visually examining PET images, howeve
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Egli, Sebastian [Verfasser], and Jörg [Akademischer Betreuer] Bendix. "Satellite-Based Fog Detection: A Dynamic Retrieval Method for Europe Based on Machine Learning / Sebastian Egli ; Betreuer: Jörg Bendix." Marburg : Philipps-Universität Marburg, 2019. http://d-nb.info/1187443476/34.

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Di, Donato Davide. "Sviluppo, Deployment e Validazione Sperimentale di Architetture Distribuite di Machine Learning su Piattaforma fog05." Master's thesis, Alma Mater Studiorum - Università di Bologna, 2019. http://amslaurea.unibo.it/19021/.

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Ultimamente sta crescendo sempre di più l'interesse riguardo al fog computing e alle possibilità che offre, tra cui la capacità di poter fruire di una capacità computazionale considerevole anche nei nodi più vicini all’utente finale: questo permetterebbe di migliorare diversi parametri di qualità di un servizio come la latenza nella sua fornitura e il costo richiesto per le comunicazioni. In questa tesi, sfruttando le considerazioni sopra, abbiamo creato e testato due architetture di machine learning distribuito e poi le abbiamo utilizzate per fornire un servizio di predizione (legato al cond
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Anjum, Ayesha. "Differentiation of alzheimer's disease dementia, mild cognitive impairment and normal condition using PET-FDG and AV-45 imaging : a machine-learning approach." Toulouse 3, 2013. http://thesesups.ups-tlse.fr/2238/.

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Nous avons utilisé l'imagerie TEP avec les traceurs F18-FDG et AV45 en conjonction avec les méthodes de classification du domaine du "Machine Learning". Les images ont été acquises en mode dynamique, une image toutes les 5 minutes. Les données ont été transformées par Analyse en Composantes Principales et Analyse en Composantes Indépendantes. Les images proviennent de trois sources différentes: la base de données ADNI (Alzheimer's Disease Neuroimaging Initiative) et deux protocoles réalisés au sein du centre TEP de l'hôpital Purpan. Pour évaluer la performance de la classification nous avons e
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Dukart, Jürgen. "Contribution of FDG-PET and MRI to improve Understanding, Detection and Differentiation of Dementia." Doctoral thesis, Universitätsbibliothek Leipzig, 2011. http://nbn-resolving.de/urn:nbn:de:bsz:15-qucosa-66495.

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Progression and pattern of changes in different biomarkers of Alzheimer’s disease (AD) and frontotemporal lobar degeneration (FTLD) like [18F]fluorodeoxyglucose positron emission tomography (FDG-PET) and magnetic resonance imaging (MRI) have been carefully investigated over the past decades. However, there have been substantially less studies investigating the potential of combining these imaging modalities to make use of multimodal information to further improve understanding, detection and differentiation of various dementia syndromes. Further the role of preprocessing has been rarely addres
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Castellanos, Carlos. "Development of a validation shape sensing algorithm in Python with predictive and automatedanalysis." Thesis, Uppsala universitet, Avdelningen för systemteknik, 2021. http://urn.kb.se/resolve?urn=urn:nbn:se:uu:diva-454942.

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Difficulties with wind turbines can arise during operation due to externalforces provoked by the wind. Calculating the deflection of the blades can beused to give break points for maintenance, design and/or monitoring purposes. Fiber Bragg Grating (FBG) sensors can be installed on the windblades to detect signals that can be reinterpreted as deflection in differentdirections. In this project a tool was developed that can take this information in real time to analyze critical issues which is important to save timeand operational and maintenance costs (O&M). To do so, a predictive model is u
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Libros sobre el tema "FZG machine"

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Free cash flow: Seeing through the accounting fog machine to find great stocks. Wiley, 2009.

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Die Entwicklung der Firma Kugelfischer, Georg Schäfer & Co.: Unter besonderer Berücksichtigung der Kontinuität als Familienunternehmen und die regionalen Auswirkungen ihrer Entwicklung aus betriebs- und industriebezogener Sicht. Creator, 1988.

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Fandel, G. Modern Production Concepts: Theory and Applications Proceedings of an International Conference, Fernuniversität, Hagen, FRG, August 20-24, 1990. Springer Berlin Heidelberg, 1991.

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Fog Machine. Lucky Sky Press, 2014.

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Fog Machine. Lucky Sky Press, 2014.

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The fog machine: A novel. 2014.

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Misra, Sudip, Subhadeep Sarkar, and Subarna Chatterjee. Sensors Cloud and Fog. Taylor & Francis Group, 2019.

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Christy, George C. Free Cash Flow: Seeing Through the Accounting Fog Machine to Find Great Stocks. Wiley & Sons, Limited, John, 2011.

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Ergonomic Data for Equipment Design: Proceedings of the NATO ARI held in Munich, FRG, March 22-26, 1982 (Nato Conference Series III, Vol 25: Human Factors). Springer, 1985.

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Misra, Sudip, Subhadeep Sarkar, and Subarna Chatterjee. Sensors, Cloud, and Fog: The Enabling Technologies for the Internet of Things. Taylor & Francis Group, 2019.

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Capítulos de libros sobre el tema "FZG machine"

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Thomas, Priya, and Deepa V. Jose. "Edge/Fog Computing." In Machine Intelligence. Auerbach Publications, 2023. http://dx.doi.org/10.1201/9781003424550-3.

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Lohani, Kaustubh, Prajwal Bhardwaj, and Ravi Tomar. "Fog Computing and Machine Learning." In Fog Computing. Chapman and Hall/CRC, 2022. http://dx.doi.org/10.1201/9781003188230-10.

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Jaiswal, Kabir, and Niharika Singh. "Application of Machine Learning in Fog Computing." In Fog Computing. Chapman and Hall/CRC, 2022. http://dx.doi.org/10.1201/9781003188230-4.

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Gaba, Smriti, Susheela Dahiya, Samarth Vashisht, and Avita Katal. "The Use of Machine Learning in Fog Computing." In Fog Computing. Chapman and Hall/CRC, 2022. http://dx.doi.org/10.1201/9781003188230-3.

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Moh, Melody, and Robinson Raju. "Using Machine Learning for Protecting the Security and Privacy of Internet of Things (IoT) Systems." In Fog and Edge Computing. John Wiley & Sons, Inc., 2019. http://dx.doi.org/10.1002/9781119525080.ch10.

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Yan, Xuan, Xiaolong Xu, Yu Zheng, and Fei Dai. "Fog Server Placement for Multimodality Data Fusion in Neuroimaging." In Machine Learning for Cyber Security. Springer International Publishing, 2020. http://dx.doi.org/10.1007/978-3-030-62223-7_20.

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Gutiérrez, Norma, Eva Rodríguez, Sergi Mus, Beatriz Otero, and Ramón Canal. "Privacy Preserving Deep Learning Framework in Fog Computing." In Machine Learning, Optimization, and Data Science. Springer International Publishing, 2020. http://dx.doi.org/10.1007/978-3-030-64583-0_45.

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Pinto, Manuel, Nicola Roveri, Gianluca Pepe, Andrea Nicoletti, Gabriele Balconi, and Antonio Carcaterra. "Extraction of the Beam Elastic Shape from Uncertain FBG Strain Measurement Points." In Mechanisms and Machine Science. Springer International Publishing, 2018. http://dx.doi.org/10.1007/978-3-030-03320-0_39.

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Martin, John Paul, Christina Terese Joseph, K. Chandrasekaran, and A. Kandasamy. "Machine Learning Powered Autoscaling for Blockchain-Based Fog Environments." In Blockchain and Applications. Springer International Publishing, 2021. http://dx.doi.org/10.1007/978-3-030-86162-9_28.

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Prasad, Devendra, Pradeep Singh Rawat, and Neeraj Rathore. "Optimized Cloud Storage Data Analysis Using the Machine Learning Model." In Bio-Inspired Optimization in Fog and Edge Computing Environments. Auerbach Publications, 2022. http://dx.doi.org/10.1201/9781003322931-10.

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Actas de conferencias sobre el tema "FZG machine"

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Michalczewski, Remigiusz, Marian Szczerek, Waldemar Tuszynski, and Jan Wulczynski. "The Scuffing Resistance of the Coated Tribosystems Lubricated With Ecological Oils." In World Tribology Congress III. ASMEDC, 2005. http://dx.doi.org/10.1115/wtc2005-63432.

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The objective of the paper is to show that thin, hard coatings deposited on heavy-loaded machine components working in a non-conformal contact (e.g. gears) and lubricated with ecological oils, make it possible to increase the service-life of these components. The scuffing resistance was assessed by employing a high-resolution four-ball test method realized in a tester with continuously increasing load. Also another test method — FZG scuffing test — was realized using a back-to-back gear test rig. The test balls and gears were coated with thin, hard TiN and WC/C coatings deposited using arc-vac
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Gai, Yuxian, Huiying Liu, and Shen Dong. "Vibration Control System for a Sub-Micro Ultra-Precision Turning Machine." In 2007 First International Conference on Integration and Commercialization of Micro and Nanosystems. ASMEDC, 2007. http://dx.doi.org/10.1115/mnc2007-21040.

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For a sub-micro ultra-precision turning machine using airsprings as vibration isolation elements, a 5 FOG mathematical model is established, activation f acted on the machine bed is as the input, the output are vertical displacement y1, oscillating φ1, ψ1 around the horizontal axle x and z of the machine bed, vertical displacement y2 of the main spindle box, and vertical displacement y3 of the slider. The equations for vibration system of 5 FOG are solved. The results indicate, when actuation force f ≠ 0, the outputs of all 5 FOG are increasing with the increasing of f. when activation f = 0,
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Wu, Dazhong, Janis Terpenny, Li Zhang, Robert Gao, and Thomas Kurfess. "Fog-Enabled Architecture for Data-Driven Cyber-Manufacturing Systems." In ASME 2016 11th International Manufacturing Science and Engineering Conference. American Society of Mechanical Engineers, 2016. http://dx.doi.org/10.1115/msec2016-8559.

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Over the past few decades, both small- and medium-sized manufacturers as well as large original equipment manufacturers (OEMs) have been faced with an increasing need for low cost and scalable intelligent manufacturing machines. Capabilities are needed for collecting and processing large volumes of real-time data generated from manufacturing machines and processes as well as for diagnosing the root cause of identified defects, predicting their progression, and forecasting maintenance actions proactively to minimize unexpected machine down times. Although cloud computing enables ubiquitous and
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Arandjelovic, Ognjen, and Roberto Cipolla. "Colour invariants for machine face recognition." In Gesture Recognition (FG). IEEE, 2008. http://dx.doi.org/10.1109/afgr.2008.4813306.

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Goncalves, Diogo, Karima Velasquez, Marilia Curado, Luiz Bittencourt, and Edmundo Madeira. "Proactive Virtual Machine Migration in Fog Environments." In 2018 IEEE Symposium on Computers and Communications (ISCC). IEEE, 2018. http://dx.doi.org/10.1109/iscc.2018.8538655.

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Bittencourt, Luiz Fernando, Marcio Moraes Lopes, Ioan Petri, and Omer F. Rana. "Towards Virtual Machine Migration in Fog Computing." In 2015 10th International Conference on P2P, Parallel, Grid, Cloud and Internet Computing (3PGCIC). IEEE, 2015. http://dx.doi.org/10.1109/3pgcic.2015.85.

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Li-Xia Xie, Hong-Yu Yang, and Yi Lu. "FUG based intelligent query for audit database." In 2008 International Conference on Machine Learning and Cybernetics (ICMLC). IEEE, 2008. http://dx.doi.org/10.1109/icmlc.2008.4620837.

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Hu, Ching-Piao, and C. F. Liao. "Optical holographic Hough processor for machine vision." In 15th Int'l Optics in Complex Sys. Garmisch, FRG, edited by F. Lanzl, H. J. Preuss, and G. Weigelt. SPIE, 1990. http://dx.doi.org/10.1117/12.34930.

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Foukalas, Fotis, and Athanasios Tziouvaras. "A Federated Machine Learning Protocol for Fog Networks." In IEEE INFOCOM 2021 - IEEE Conference on Computer Communications Workshops (INFOCOM WKSHPS). IEEE, 2021. http://dx.doi.org/10.1109/infocomwkshps51825.2021.9484485.

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Ingistov, Steve. "Fog System Performance in Power Augmentation of Heavy Duty Power Generating Gas Turbines Model 7EA." In ASME Turbo Expo 2000: Power for Land, Sea, and Air. American Society of Mechanical Engineers, 2000. http://dx.doi.org/10.1115/2000-gt-0305.

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Ambient air temperature plays significant role in performance of a Gas Turbine. Frequently Gas Turbines in electrical power generation are single rotor and are directly coupled to the Electrical Generators. These machines normally operate 8,000 hours per calendar year under the 100% load. The control of the combustion air flow is achieved by modulating compressor Inlet Guide Vanes (IGV). The single shaft axial compressor consumes as a rule of thumb more than 50% of turbine useful expansion work. Axial compressor is high-volume, moderate discharge pressure machine. Its power demand to discharge
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Informes sobre el tema "FZG machine"

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Michaelis, K., and H. Winter. Development of a High Temperature FZG-Ryder Gear Lubricant Load Capacity Machine. Defense Technical Information Center, 1989. http://dx.doi.org/10.21236/ada210799.

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Alber, Charlotte, Laura Dusl, Brigitte Ecker, and Sabine Pohoryles-Drexel. Erfahrungen und Ergebnisse aus der begleitenden Erhebung zum Pilot w-fFORTE Innovatorinnen. BMDW, 2021. http://dx.doi.org/10.22163/fteval.2021.523.

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Mit w-fFORTE Innovatorinnen strebt das Bundesministerium für Digitalisierung und Wirtschaftsstandort (BMDW) an, Frauen in standortrelevanter Forschung und Innovation (F&I) gezielt zu unterstützen und sichtbar zu machen. Hochqualifizierte Frauen werden darin bestärkt, ihre Ideen zu entfalten, neue Netzwerk-Kontakte aufzubauen und zu mehr Gestaltungsspielräumen und beruflicher Weiterentwicklung zu gelangen. Die FFG hat dafür im Zeitraum 2018-2019 in enger Zusammenarbeit mit dem BMDW ein innovatives Leadership- & Empowerment-Programm entwickelt. Der erste Durchgang fand als Pilot von Juni
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Warta, Katharina, Tobias Dudenbostel, María del Carmen Calatrava Moreno, et al. Evaluierung des COMET-Programms. Technopolis Group - Austria, 2021. http://dx.doi.org/10.22163/fteval.2022.524.

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Technopolis wurde im Mai 2020 vom Bundesministerium für Klimaschutz, Umwelt, Energie, Mobilität, Innovation und Technologie (BMK) und dem Bundesministerium für Digitalisierung und Wirtschaftsstandort (BMDW) mit der Evaluierung des COMET-Programms beauftragt. Die vorliegende Evaluierung bezieht sich auf die 25 aktuell existierenden Zentren. Der Fokus der Evaluierung liegt auf der Charakterisierung der COMET-Zentren und auf dem Monitoring- und Kennzahlensystem von COMET. Im Jahr der Corona-Pandemie wurden die Methoden angepasst, Interviews mit Stakeholdern und den Zentren wurden meist per Videoc
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Kirchhoff, Helmut, and Ziv Reich. Protection of the photosynthetic apparatus during desiccation in resurrection plants. United States Department of Agriculture, 2014. http://dx.doi.org/10.32747/2014.7699861.bard.

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In this project, we studied the photosynthetic apparatus during dehydration and rehydration of the homoiochlorophyllous resurrection plant Craterostigmapumilum (retains most of the photosynthetic components during desiccation). Resurrection plants have the remarkable capability to withstand desiccation, being able to revive after prolonged severe water deficit in a few days upon rehydration. Homoiochlorophyllous resurrection plants are very efficient in protecting the photosynthetic machinery against damage by reactive oxygen production under drought. The main purpose of this BARD project was
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