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.
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.
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.
Haimes, Y., Loparo, K., Olenik, S., & Nanda, S. (1980). Multiobjective statistical method for interior drainage systems. Water Resources Research, 16 (3), 465–475.