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Articles 31 - 33 of 33
Full-Text Articles in Engineering
Service-Oriented Computing: Key Concepts And Principles, Michael N. Huhns, Munindar P. Singh
Service-Oriented Computing: Key Concepts And Principles, Michael N. Huhns, Munindar P. Singh
Faculty Publications
Traditional approaches to software development - the ones embodied in CASE tools and modeling frameworks - are appropriate for building individual software components, but they are not designed to face the challenges of open environments. Service-oriented computing provides a way to create a new architecture that reflects components' trends toward autonomy and heterogeneity. We thus emphasize SOC concepts instead of how to deploy Web services in accord with current standards. To begin the series, we describe the key concepts and abstractions of SOC and the elements of a corresponding engineering methodology.
Effects Of Dynamic Fluid Pressure On Chondrocytes Cultured In Biodegradable Poly(Glycolic Acid) Fibrous Scaffolds, Lichun Lu, Xun Zhu, Larry G. Pederson, Esmaiel Jabbari, Bradford Currier, Shawn O'Driscoll, Michael Yaszemski
Effects Of Dynamic Fluid Pressure On Chondrocytes Cultured In Biodegradable Poly(Glycolic Acid) Fibrous Scaffolds, Lichun Lu, Xun Zhu, Larry G. Pederson, Esmaiel Jabbari, Bradford Currier, Shawn O'Driscoll, Michael Yaszemski
Faculty Publications
No abstract provided.
Cubic Spline Regression For The Open-Circuit Potential Curves Of A Lithium-Ion Battery, Qingzhi Guo, Ralph E. White
Cubic Spline Regression For The Open-Circuit Potential Curves Of A Lithium-Ion Battery, Qingzhi Guo, Ralph E. White
Faculty Publications
A cubic spline regression model was used to fit the experimental open-circuit potential (OCP) curves of two intercalation electrodes of a lithium-ion battery. All the details of an OCP curve were accurately predicted by the resulting model. The number of regression intervals used to fit an OCP curve was determined in a way such that in each regression interval the OCP exhibits a profile predictable by a third-order polynomial. The locations of the data points used to separate regression intervals were optimized. Compared to a polynomial model with the same number of fitting parameters, the cubic spline regression model is …