The Infona portal uses cookies, i.e. strings of text saved by a browser on the user's device. The portal can access those files and use them to remember the user's data, such as their chosen settings (screen view, interface language, etc.), or their login data. By using the Infona portal the user accepts automatic saving and using this information for portal operation purposes. More information on the subject can be found in the Privacy Policy and Terms of Service. By closing this window the user confirms that they have read the information on cookie usage, and they accept the privacy policy and the way cookies are used by the portal. You can change the cookie settings in your browser.
In this paper, a novel state-of-charge (SOC) estimation method is proposed for lithium-ion battery packs of electric vehicles. An equivalent circuit model, which comprises an open circuit voltage source and a resistance-capacitance network connected in series, is built for each cell to characterize its dynamic and static performance. Then, the EKF is applied to calculate each cell's SOC. By calculating...
Features defined on the cortical surface derived from magnetic resonance imaging provide important information to diagnosis the Alzheimer's disease (AD) and its premonitory symptoms Mild Cognitive Impairment (MCI). In general, the methods based on region-wise features poorly reflect the detailed spatial variation of cortical thickness, and those based on vertex-wise features are sensitive to noise...
The noise suppressors based on ferromagnetic nanowire arrays were fabricated on the anodic aluminum oxide templates (AAO), and the effects of the width and length of the device and the type of the ferromagnetic nanowire array on the microwave properties of the noise suppressor were investigated. The Co and Co-Ni magnetic nanowires with an average diameter of 200 nm and a length of 10 or 30 μm were...
Self-calibration is one of the important approaches to obtain greater measurement accuracy in precision engineering applications. This paper presents a simple method for self-calibration of two-dimensional ultra-precision stages while previous attempts to solve this problem are often quite complicated or under some impractical assumptions. Specifically, by measuring a rigid artifact at three locations...
The good performances of most classical learning algorithms are generally founded on high quality training data, which are clean and unbiased. The availability of such data is however becoming much harder than ever in many real world problems due to the difficulties in collecting large scale unbiased data and precisely labeling them for training. In this paper, we propose a general Contrast Co-learning...
Set the date range to filter the displayed results. You can set a starting date, ending date or both. You can enter the dates manually or choose them from the calendar.