{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,3,24]],"date-time":"2026-03-24T10:38:31Z","timestamp":1774348711747,"version":"3.50.1"},"publisher-location":"Cham","reference-count":23,"publisher":"Springer International Publishing","isbn-type":[{"value":"9783319049595","type":"print"},{"value":"9783319049601","type":"electronic"}],"license":[{"start":{"date-parts":[[2014,1,1]],"date-time":"2014-01-01T00:00:00Z","timestamp":1388534400000},"content-version":"tdm","delay-in-days":0,"URL":"http:\/\/www.springer.com\/tdm"}],"content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":[],"published-print":{"date-parts":[[2014]]},"DOI":"10.1007\/978-3-319-04960-1_13","type":"book-chapter","created":{"date-parts":[[2014,2,14]],"date-time":"2014-02-14T06:10:08Z","timestamp":1392358208000},"page":"151-160","source":"Crossref","is-referenced-by-count":1,"title":["Design of an Adaptive Calibration Technique Using Support Vector Machine for LVDT"],"prefix":"10.1007","author":[{"given":"K. V.","family":"Santhosh","sequence":"first","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Binoy Krishna","family":"Roy","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]}],"member":"297","reference":[{"issue":"3","key":"13_CR1","doi-asserted-by":"publisher","first-page":"768","DOI":"10.1109\/19.930452","volume":"55","author":"R.M. Ford","year":"2001","unstructured":"Ford, R.M., Weissbach, R.S., Loker, D.R.: A novel DSP-based LVDT signal conditioner. IEEE Transactions on Instrument and Measurement\u00a055(3), 768\u2013774 (2001)","journal-title":"IEEE Transactions on Instrument and Measurement"},{"key":"13_CR2","unstructured":"Flammini, A., Marioli, D., Sisinni, E., Taroni, A.: Least Mean Square Method for LVDT Signals Processing. In: Proc. Instrumentation and Measurement Technology Conference, Corno, Italy (2004)"},{"key":"13_CR3","unstructured":"Mishra, S.K., Panda, G.: A Novel Method for Designing LVDT and its Comparison with Conventional Design. In: Proc. Sensors Applications Symposium, Houston, USA (2006)"},{"key":"13_CR4","doi-asserted-by":"crossref","unstructured":"Martins, R.C., Ramos, H.G., Proence, P.: A FPGA-based General Purpose Multi-Sensor Data Acquisition System with Nonlinear Sensor Characteristics and Environment Compensation. In: Proc. International Conference on Instrumentation and Measurement Technology Conference, Sorrento, Italy (2006)","DOI":"10.1109\/IMTC.2006.328624"},{"key":"13_CR5","doi-asserted-by":"crossref","unstructured":"Drumea, A., Vasile, A., Comes, M., Blejan, M.: System on Chip Signal Conditioner for LVDT Sensors. In: Proc. 1st Electronics System Integration Technology Conference, Dresden, Germany (2006)","DOI":"10.1109\/ESTC.2006.280070"},{"key":"13_CR6","doi-asserted-by":"crossref","unstructured":"Tudic, V.: Uncertainty Evaluation of Slope Coefficient of High Precision Displacement Sensor. In: Proc. 48th International Symposium, Zadar, Croatia (2006)","DOI":"10.1109\/ELMAR.2006.329555"},{"issue":"6","key":"13_CR7","doi-asserted-by":"publisher","first-page":"2294","DOI":"10.1109\/TIM.2007.908248","volume":"56","author":"A. Flammini","year":"2007","unstructured":"Flammini, A., Marioli, D., Sisinni, E., Taroni, A.: Least Mean Square Method for LVDT Signal Processing. IEEE Transactions on Instrumentation and Measurement\u00a056(6), 2294\u20132300 (2007)","journal-title":"IEEE Transactions on Instrumentation and Measurement"},{"key":"13_CR8","unstructured":"Wang, Z., Duan, Z.: The Research of LVDT Nonlinearity Data Compensation based on RBF Neural Network. In: Proc. 7th World Congress on Intelligent Control and Automation, Chonqging, China (2008)"},{"issue":"4","key":"13_CR9","doi-asserted-by":"publisher","first-page":"947","DOI":"10.1109\/TIM.2009.2031385","volume":"59","author":"S.K. Mishra","year":"2010","unstructured":"Mishra, S.K., Panda, G., Das, D.P.: A Novel Method for Extending the Linearity Range of Linear Variable Differential Transformer Using Artificial Neural Network. IEEE Transaction of Instrumentation and Measurement\u00a059(4), 947\u2013953 (2010)","journal-title":"IEEE Transaction of Instrumentation and Measurement"},{"key":"13_CR10","doi-asserted-by":"crossref","unstructured":"Wang, L., Wang, X., Sun, Y.: Intelligent Acquisition Module for Differential Transformer Position Sensor. In: Proc. International Conference on Intelligent System Design and Engineering Application, Hunan, China (2010)","DOI":"10.1109\/ISDEA.2010.325"},{"issue":"5","key":"13_CR11","doi-asserted-by":"publisher","first-page":"1802","DOI":"10.1109\/TIM.2011.2112990","volume":"60","author":"G. Spiezia","year":"2011","unstructured":"Spiezia, G., Losito, R., Martino, M., Masi, A., Pierno, A.: Automatic Test Bench for Measurement of Magnetic Interface on LVDTs. IEEE Transactions on Instrumentation and Measurement\u00a060(5), 1802\u20131810 (2011)","journal-title":"IEEE Transactions on Instrumentation and Measurement"},{"key":"13_CR12","unstructured":"Fan, J., Jia, S., Lu, W., Wang, Z., Li, X., Sheng, J.: Application of LVDT Sensor Data Acquisition System Based on PCI-1716. In: Proc. International Conference on Computer Science and Automation Engineering, Shanghai, China (2011)"},{"key":"13_CR13","unstructured":"Yun, D., Ham, S., Park, J., Yun, S.: Analysis and design of LVDT. In: International Conference on Ubiquitous Robots and Ambient Intelligence, Incheon, South Korea (2011)"},{"issue":"2","key":"13_CR14","doi-asserted-by":"publisher","first-page":"25113","DOI":"10.1063\/1.3687781","volume":"83","author":"J.. Macione","year":"2012","unstructured":"Macione, J.: Design and analysis of a novel mechanical loading machine for dynamic in vivo axial loading. Journal on Review of Scientific Instruments\u00a083(2), 25113\u201325114 (2012)","journal-title":"Journal on Review of Scientific Instruments"},{"key":"13_CR15","unstructured":"Neubert, H.K.P.: Instrument Transducers: An Introduction to Their Performance and Design. In: Handbook of Experimental Pharmacology, 2nd edn. Oxford University Press, UK (2003)"},{"key":"13_CR16","volume-title":"Instrument Engineers Handbook-Process Measurement and Analysis","author":"B.G. Liptak","year":"2003","unstructured":"Liptak, B.G.: Instrument Engineers Handbook-Process Measurement and Analysis, 4th edn. CRC Press, UK (2003)","edition":"4"},{"key":"13_CR17","volume-title":"Transducers and Instrumentation","author":"D.V.S. Murty","year":"2003","unstructured":"Murty, D.V.S.: Transducers and Instrumentation. PHI Publication, India (2003)"},{"key":"13_CR18","doi-asserted-by":"crossref","unstructured":"Regitien, P.P.L.: Inductive and Magnetic Sensors, pp. 125\u2013159. Sensor for Mechatronics (2012)","DOI":"10.1016\/B978-0-12-391497-2.00006-6"},{"key":"13_CR19","unstructured":"Chih-Chung, C., Lin, C.-J.: LIBSVM (2001) A library for support vector machines available at NTU, \n                    http:\/\/www.csie.ntu.edu.tw\/~cjlin\/libsvm"},{"issue":"1","key":"13_CR20","first-page":"32","volume":"26","author":"Z. Xuegong","year":"2000","unstructured":"Xuegong, Z.: Statical learning theory and support vector machines. Acta Automatica Sinica\u00a026(1), 32\u201342 (2000)","journal-title":"Acta Automatica Sinica"},{"key":"13_CR21","volume-title":"Least Squares Support Vector Machine Classifiers","author":"J.A.K. Suykens","year":"1999","unstructured":"Suykens, J.A.K., Vandewalle, J.: Least Squares Support Vector Machine Classifiers. Kluwer Academic Publisher, Netherlands (1999)"},{"key":"13_CR22","volume-title":"Learning with Kernels: Support Vector Machines, Regularization, Optimization and Beyond","author":"B. Schokopf","year":"2002","unstructured":"Schokopf, B., Smola, A.: Learning with Kernels: Support Vector Machines, Regularization, Optimization and Beyond. MIT Press, USA (2002)"},{"issue":"1","key":"13_CR23","doi-asserted-by":"publisher","first-page":"5","DOI":"10.1023\/B:MACH.0000008082.80494.e0","volume":"54","author":"T.V. Gestel","year":"2004","unstructured":"Gestel, T.V., Suykens, J.A.K., Baesens, B., Viaene, S., Vanthienen, J., Dedene, G., De Moor, B., Vandewallel, J.: Benchmarking least squares support vector machine classifiers. Journal on Machine Learning\u00a054(1), 5\u201332 (2004)","journal-title":"Journal on Machine Learning"}],"container-title":["Advances in Intelligent Systems and Computing","Advances in Signal Processing and Intelligent Recognition Systems"],"original-title":[],"language":"en","link":[{"URL":"https:\/\/link.springer.com\/content\/pdf\/10.1007\/978-3-319-04960-1_13","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2023,1,31]],"date-time":"2023-01-31T00:24:05Z","timestamp":1675124645000},"score":1,"resource":{"primary":{"URL":"https:\/\/link.springer.com\/10.1007\/978-3-319-04960-1_13"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2014]]},"ISBN":["9783319049595","9783319049601"],"references-count":23,"URL":"https:\/\/doi.org\/10.1007\/978-3-319-04960-1_13","relation":{},"ISSN":["2194-5357","2194-5365"],"issn-type":[{"value":"2194-5357","type":"print"},{"value":"2194-5365","type":"electronic"}],"subject":[],"published":{"date-parts":[[2014]]}}}