KA Loparo

Publications

Scher, M., Ludington-Hoe, S., & Loparo, K. (2012). An analysis of the kangaroo care intervention using neonatal EEG complexity: A preliminary study. Clinical Neurophysiology.
Janjarasjitt, S., & Loparo, K. (2008). An approach for characterizing coupling in dynamical systems. Physica D: Nonlinear Phenomena, 237 (19), 2482–2486.
Janjarasjitt, S., Ocak, H., & Loparo, K. (2008). Bearing condition diagnosis and prognosis using applied nonlinear dynamical analysis of machine vibration signal. Journal of sound and vibration, 317 (1), 112–126.
Janjarasjitt, S., Scher, M., & Loparo, K. (2008). Nonlinear dynamical analysis of the neonatal EEG time series: the relationship between neurodevelopment and complexity. Clinical Neurophysiology, 119 (4), 822–836.
Scher, M., Johnson, M., PLudington-Hoe, S., & Loparo, K. (2007). P1-135 Neurophysiologic assessment of brain maturation: preliminary results of an eight-week trial of skin contact with preterm infants. Early Human Development, 83 , S121.
Discenzo, F., Loparo, K., Cassar, H., & Chung, D. (2006). Machinery condition monitoring using wireless self-powered sensor nodes. Proc. 24th Int. Modal Analysis Conf.
Soares, F., Burken, J., Gupta, P., Jacklin, S., & Loparo, K. (2005). Verification and Validation of Real-time Adaptive Neural Networks using ANCT Tools and Methodologies, an application to Intelligent Flight Control Systems F-15 Project. AIAA 5th Aviation, Technology, Integration, and Operations Conference (ATIO).
Gupta, P., Loparo, K., Mackall, D., Schumann, J., & Soares, F. (2004). Verification and validation methodology of real-time adaptive neural networks for aerospace applications. Citeseer.
Adams, M., & Loparo, K. (2004). C623/009/2004 Analysis of rolling element bearing faults in rotating machinery-experiments, modelling, fault detection, and diagnosis. IMECHE CONFERENCE TRANSACTIONS, 2 , 511–520.
Ertunc, H., & Loparo, K. (2001). A decision fusion algorithm for tool wear condition monitoring in drilling. International Journal of Machine Tools and Manufacture, 41 (9), 1347–1362.
Turnbull, J., Loparo, K., Johnson, M., & Scher, M. (2001). Automated detection of tracé alternant during sleep in healthy full-term neonates using discrete wavelet transform. Clinical neurophysiology, 112 (10), 1893–1900.
Discenzo, F., Unsworth, P., Loparo, K., & Marcy, H. (1999). Self-diagnosing intelligent motors: a key enabler for next generation manufacturing systems. IET.
Hobbs, B., Jitprapaikulsarn, S., Konda, S., Chankong, V., Loparo, K., & Maratukulam, D. (1998). Analysis of the value for unit commitment of improved load forecasts. IEEE Power Engineering Review, 18 (12), 54–54.
Feng, J., & Loparo, K. (1992). Chaotic motion and its probabilistic description in a family of two-dimensional nonlinear systems with hysteresis. Journal of Nonlinear Science, 2 (4), 417–452.
Garzia, M., Loparo, K., & Martin, C. (1990). RICCATI DIFFERENTIAL-EQUATIONS AND LIE TRANSFORMATION GROUPS. CONTROL-THEORY AND ADVANCED TECHNOLOGY, 6 (1), 33–52.
De Benito, C., & Loparo, K. (1989). Nonlinear filtering for discrete-time linear systems with non-Gaussian initial data. Automatic Control, IEEE Transactions on, 34 (7), 781–783.
Loparo, K., Aslanis, J., & Hàjek, O. (1987). Analysis of switched linear systems in the plane, part 2: global behavior of trajectories, controllability and attainability. Journal of optimization theory and applications, 52 (3), 395–427.
Garzia, M., Loparo, K., & Martin, C. (1982). The Riccati equation, imprimitive actions and symplectic forms(with application to decentralized optimal control problem). Annual Allerton Conference on Communication, Control, and Computing, 19 th, Monticello, IL.
Erol, Y., Loparo, K., & Kuo, G. (1982). An evaluation of input-decentralized and output-decentralized realizations for large-scale systems. Systems & Control Letters, 1 (6), 360–364.
Haimes, Y., Loparo, K., Olenik, S., & Nanda, S. (1980). Multiobjective statistical method for interior drainage systems. Water Resources Research, 16 (3), 465–475.