001442022 000__ 05145cam\a2200625\a\4500
001442022 001__ 1442022
001442022 003__ OCoLC
001442022 005__ 20230310003308.0
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001442022 008__ 210623s2021\\\\sz\\\\\\o\\\\\101\0\eng\d
001442022 020__ $$a9783030791681$$q(electronic bk.)
001442022 020__ $$a3030791688$$q(electronic bk.)
001442022 020__ $$z303079167X
001442022 020__ $$z9783030791674
001442022 0247_ $$a10.1007/978-3-030-79168-1$$2doi
001442022 035__ $$aSP(OCoLC)1257401827
001442022 040__ $$aYDX$$beng$$epn$$cYDX$$dGW5XE$$dOCLCO$$dOCLCF$$dEBLCP$$dN$T$$dOCLCO$$dOCLCQ$$dCOM$$dOCLCO$$dOCLCQ
001442022 049__ $$aISEA
001442022 050_4 $$aTJ163.12
001442022 08204 $$a621$$223
001442022 1112_ $$aInternational Conference Innovation in Engineering$$n(1st :$$d2021 :$$cGuimarães, Portugal)
001442022 24510 $$aInnovations in mechatronics engineering/$$cJosé Machado, Filomena Soares, Justyna Trojanowska, Sahin Yildirim, editors.
001442022 260__ $$aCham :$$bSpringer,$$c2021.
001442022 300__ $$a1 online resource
001442022 336__ $$atext$$btxt$$2rdacontent
001442022 337__ $$acomputer$$bc$$2rdamedia
001442022 338__ $$aonline resource$$bcr$$2rdacarrier
001442022 4901_ $$aLecture notes in mechanical engineering,$$x2195-4356
001442022 500__ $$aIncludes author index.
001442022 5050_ $$aIntro -- Preface -- Contents -- Screwing Process Monitoring Using MSPC in Large Scale Smart Manufacturing -- 1 Introduction -- 2 Screwing Process Monitoring and Analysis -- 2.1 Sample Definition -- 2.2 Data Interpolation -- 2.3 Data Segmentation -- 2.4 Principal Components Identification and Interpretation -- 2.5 Control Limits Definition -- 2.6 Behavior Identification -- 2.7 Process Monitoring -- 3 Discussion of Results -- 4 Conclusion -- References -- Comparison of Neural Networks Aiding Material Compatibility Assessment -- 1 Introduction -- 2 Review of Literature -- 3 Methods
001442022 5058_ $$a4 Creation of Models Based on the Neural Networks -- 4.1 Data Preparation -- 4.2 Material Selection by Neural Networks -- 4.3 Example Implementation of a Neural Network into an Expert System -- 5 Summary -- References -- Parameterized State Feedback Control Applied to the 1st Degree of Freedom of a Cylindric Pneumatic Robot -- 1 Introduction -- 2 The 5-DOF Pneumatic Robot -- 3 Parameterization of the Equivalent Mass -- 4 State Feedback Controller -- 5 Experimental Results -- 5.1 Case 1 -- Invariant Equivalent Mass Applied to the 1st DOF
001442022 5058_ $$a5.2 Case 2 -- Variable Equivalent Mass Applied to the 1st DOF -- 5.3 Position Trajectory-Tracking Errors -- 6 Conclusions -- References -- Building a Mobile Application by Combining Third Party Platforms in Order to Reduce Time, Costs and Improve Functionality -- 1 Introduction -- 1.1 Goal -- 1.2 Related Work -- 2 How it Works -- 2.1 Creating an Online Store with Wordpress -- 2.2 Advantages of Using Wordpress for Creating the Website in Order to Easily Develop the Mobile Application -- 2.3 Converting the Website into an Android Application -- 3 Conclusions -- References
001442022 5058_ $$aConveyor Belts Joints Remaining Life Time Forecasting with the Use of Monitoring Data and Mathematical Modelling -- 1 Introduction -- 2 Methodology -- 3 Case Study -- 4 Final Thoughts -- References -- Experience in Implementing Computer-Oriented Methodological Systems of Natural Science and Mathematics Research Learning in Ukrainian Educational Institutions -- 1 Introduction -- 2 Methodology -- 3 Collaborative Manufacturing and Education in the Context of Industry 4.0 (COMSRL) -- 4 The Use of Digital Laboratories in the Process of Teaching Natural Science and Mathematics
001442022 5058_ $$a5 Perspectives of Introduction of Variational Models of Computer-Oriented Environment of Studying Subjects of Natural Sciences and Mathematical Cycle -- 6 Conclusion -- References -- Optimal Preventive Maintenance Frequency in Redundant Systems -- 1 Introduction -- 2 Statistical Model Checking -- 3 Models -- 3.1 Case Study -- 3.2 Automata Models -- 4 Results Analysis -- 4.1 Influence of Corrective Maintenance Parameters -- 5 Conclusion -- References -- Experimental Investigation of the Effect of Mass Load on Flight Performance of an Octorotor and Dodecarotor UAV -- 1 Introduction
001442022 506__ $$aAccess limited to authorized users.
001442022 588__ $$aOnline resource; title from PDF title page (SpringerLink, viewed June 29, 2021).
001442022 650_0 $$aMechatronics$$vCongresses.
001442022 650_6 $$aMécatronique$$vCongrès.
001442022 655_7 $$aConference papers and proceedings.$$2fast$$0(OCoLC)fst01423772
001442022 655_7 $$aConference papers and proceedings.$$2lcgft
001442022 655_7 $$aActes de congrès.$$2rvmgf
001442022 655_0 $$aElectronic books.
001442022 7001_ $$aMachado, José Manuel,$$eeditor.
001442022 7001_ $$aSoares, Filomena,$$eeditor.
001442022 7001_ $$aTrojanowska, Justyna,$$eeditor.
001442022 7001_ $$aYildirim, Sahin,$$eeditor.
001442022 77608 $$iPrint version:$$z303079167X$$z9783030791674$$w(OCoLC)1252412555
001442022 830_0 $$aLecture notes in mechanical engineering,$$x2195-4356
001442022 852__ $$bebk
001442022 85640 $$3Springer Nature$$uhttps://univsouthin.idm.oclc.org/login?url=https://link.springer.com/10.1007/978-3-030-79168-1$$zOnline Access$$91397441.1
001442022 909CO $$ooai:library.usi.edu:1442022$$pGLOBAL_SET
001442022 980__ $$aBIB
001442022 980__ $$aEBOOK
001442022 982__ $$aEbook
001442022 983__ $$aOnline
001442022 994__ $$a92$$bISE