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The development, expansion, and assessment of a step-based computer-aided tutoring system to teach linear circuit analysis is described. Circuit problems and fully worked, error-free solutions to same are created automatically and randomly with any desired characteristics, varying both the layout and numerical values. Students therefore have access to an unlimited source of both examples and practice...
Battery energy management and optimization are of significant importance to self-sustained wireless sensor networks (WSNs) that use solar energy harvesting instead of fixed power supply as the charging source. In this paper, an optimal control strategy for WSNs with solar energy supply is proposed. A modified Kinetic Battery Model (KBM) considering charging input is introduced to account for the dynamic...
Personalized medicine is customizing treatments to a patientâs genetic profile, and it has the potential to revolutionize medical practice. An important process used in personalized medicine is gene expression profiling. Analyzing gene expression profiles is difficult, because there are usually few patients and thousands of genes. This leads to the curse of dimensionality. In order to combat...
One of the major obstacles in computational modeling of a biological system is to determine a large number of parameters in the mathematical equations representing biological properties of the system. To tackle this problem, we have developed a global optimization method, called Discrete Selection Levenberg-Marquardt (DSLM), for parameter estimation. For fast computational convergence, DSLM suggests...
On-line monitoring of polymer melt state is critical to ensuring part quality in injection molding. This paper presents the design of a dual-parameter acoustic wireless sensor for simultaneous measurement of pressure and temperature variations within the mold cavity. The sensor consists of three major functional components: a piezoceramic energy harvester, a modulator circuit, and an electric-acoustic...
This paper introduces two newly developed models of capacitive silicon bulk acoustic resonators (SiBARs). The first model is analytical and is obtained from an approximate solution of the linear elastodynamics equations for the SiBAR geometry. The second is numerical and is based on finite-element, multi-physics simulation of both acoustic wave propagation in the resonator and electromechanical transduction...
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