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Health-conscious battery management is one of the main facilitators for widespread commercialization of Li-ion batteries as the primary power source in electrified transportation and portable electronics and as the backup source in stationary energy storage systems. The majority of the existing Battery Management Systems (BMSs) define battery State of Health (SOH) in terms of internal resistance increase...
Electromagnetic limited-angle torque motors (LATMs) which have a limited angular movement less than 180 degrees are widely applied in industry, particularly for positioning tasks. Compared with common rotating motors, LATMs have many advantages such as simple structure, high reliability, and uncomplicated control mode. In general, radial-flux permanent-magnet LATMs have two conventional types which...
The arterial system is coupled with the heart, such that the pressure produced by the left ventricle of the heart is in tune to properties of the vasculature. A modified 3-element Windkessel model of the arterial system can closely approximate the complex load presented to the heart, but difficulties in estimating nonlinear arterial parameters have led compliance to be frequently modeled as a constant-valued...
High-resolution sparse spectral estimation techniques have recently been shown to offer significant performance gains as compared to most conventional estimation approaches, although such methods typically suffer the drawback of being computationally cumbersome. In this paper, we seek to alleviate this drawback somewhat, examining computationally efficient implementations of the recent iterative sparse...
We present in this paper a fusion method of combining vision and inertial (accelerations and angular velocities) data for estimating and predicting position and orientation (pose) of a rapidly moving camera with respect to a fixed inertial frame. The basic framework of this fusion method is based on the Kalman filtering algorithm. By fusing the data, a fast, accurate and robust pose estimation is...
In this paper we present a new sparse iterative covariance-based estimation approach, called SPICE, to the direction of arrival estimation problem. SPICE is obtained by the minimization of a statistically well motivated covariance matrix fitting criterion and can be used in both single and multiple-snapshot cases. Some of the unique features enjoyed by SPICE are: it takes account of the noise in the...
This paper proposes to characterize the fingerprint orientation using a novel topological representation, which transforms the orientation field into a map composed of a set of geometric objects and analyzes the properties of each geometric object based on two assumptions: regional coherence assumption and convexity assumption. Different from prior works on fingerprint orientation analysis, this approach...
The Markov chain model can be found in the maintenance and repair problems since the early 60's, is introduced to the maintenance of road infrastructure in the 1980's, and is made to drive the current bridge maintenance optimization systems. While this model results into solvable programming problems and provides a solution, there are a number of criticisms associated with it. In this article, we...
It is shown that the covariance beamforming, covariance matrix tapers and matrix beamforming approaches, which were considered separately from one another in the previous array processing literature, are in fact related. The relationships between them in terms of both generality and design procedures are clarified.
One of the objectives of engineering changes is to redesign product/component parts to perform better or to be produced more efficiently. Frequent engineering changes, however, contribute to scheduling instability in multi-level product structures in addition to obsolete inventories. In this paper, we consider progressive probabilities of engineering changes as opposed to the constant probabilities...
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