Workpage of Ville Lämsä
I work as a researcher in the Department of Applied Mechanics. I'm also postgraduate student for the Department of Information and Computer Science.
Publications
Journal articles
Deraemaeker A., Preumont A., Reynders E., De Roeck G., Kullaa J., Lämsä V., Worden K., Manson G., Barthorpe R., Papatheou E., Kudela P., Malinowski P., Ostachowicz W. and Wandowski T.: Vibration-based Structural Health Monitoring Using Large Sensor Networks, Smart Structures and Systems, Vol. 6, No. 3 (2010)
Conference articles
Lämsä V., Raiko T.: Novelty Detection by Nonlinear Factor Analysis for Structural Health Monitoring, Proc. of the IEEE International Workshop on Machine Learning for Signal Processing - MLSP 2010, 29 August - 1 September, 2010, Kittilä, Finland
Lämsä V., Kullaa J.: Data Normalization with Partially Measured Environmental or Operational Variables, Proc. of the 4th European Workshop on Structural Health Monitoring, 2-4 July, 2008, Cracow, Poland
Lämsä V., Kullaa J.: Nonlinear Factor Analysis in Structural Health Monitoring to Remove Environmental Effects, Proc. of the 6th International Workshop on Structural Health Monitoring, 11-13 September, 2007, Stanford, USA
Lämsä V.: Nonlinear Factor Analysis and Nonlinear Dynamical Factor Analysis in Structural Health Monitoring: Reconstruction Accuracy Comparison, Proc. of the 2007 Finnish Signal Processing Symposium FINSIG’07, 30 August, 2007, Oulu, Finland
Lämsä V., Kullaa J.: Dynamical Extension of Nonlinear Factor Analysis in Structural Health Monitoring to Remove Environmental Effects, Proc. of the 3rd ECCOMAS Thematic Conference on Smart Structures and Materials, 9-11 July, 2007, Gdansk, Poland
Deraemaeker A., De Roeck G., Reynders E., Worden K., Manson G., Kullaa J., Lämsä V. and Ostachowicz W.: Smart Sensing for Structural Health Monitoring (S3HM), Proc. of the World Forum on Smart Materials and Smart Structures (SMSS7), 22-27 May, 2007, Chongqing, China
Grönfors T., Sihvonen T., Lämsä V., Päivinen N.: Spectral Factors and Medical Parameters of EMG Signals, Proc. of the 3rd International Conference Advances in Medical, Signal and Information Processing - MEDSIP 2006, 17-19 July, 2006, Glasgow, UK
Scientific Posters
Lämsä V.: Spectral Entropy of the Functional EMG Signals in Relation to Motion Data, Finnish Society for Medical Physics and Medical Engineering, 9 February, 2006, Tampere, Finland
Thesis
Lämsä V.: Statistical Pattern Recognition Methods of the Electric Activity Signals of the Muscles (in Finnish), Accepted 23 December 2005 in University of Kuopio, Finland
Useful links
Department of Applied Mechanics
Department of Information and Computer Science
WebOodi
Noppa
Contact information:
Ville Lämsä, M. Sc., Researcher
Aalto University School of Science and Technology
Department of Applied Mechanics
P.O. Box 14300, FI-00076 Aalto, Finland
Tel: 358 9 470 23452 Mobile: 358 44 068 2724
© Ville Lämsä