Abstract: Fractional-slot concentrated-winding (FSCW) synchronous permanent magnet (PM) machines have been gaining interest over the last few years. This is mainly due to the several advantages that ...
Abstract: To address the issues of location accuracy in traveling wave (TW) network location methods, which are susceptible to clock synchronization errors and TW speed inaccuracies. We propose a TW ...
Abstract: The multiple-gate field-effect transistor (FET) is a promising device architecture for the 45-nm CMOS technology node. These nonplanar devices suffer from a high parasitic resistance due to ...
Abstract: The estimating of the Tolles-Lawson model's coefficients plays an important role in aeromagnetic compensation. The directional cosines, which are indispensable for estimating the ...
Abstract: Due to the importance of zero-shot learning, i.e., classifying images where there is a lack of labeled training data, the number of proposed approaches has recently increased steadily. We ...
Abstract: Semantic change detection (SCD) refers to the task of simultaneously extracting changed areas and their semantic categories (before and after the changes) in remote sensing images (RSIs).
Abstract: This paper investigates the consensus with connectivity maintenance problem based on the distributed model predictive control (DMPC). To solve such connectivity-maintaining consensus problem ...
Abstract: Time-varying formation tracking (TVFT) control problems for a team of unmanned aerial vehicles (UAVs) with switching and directed interaction topologies are investigated, where the follower ...
Abstract: Based on the evolutionary game theory, this paper explores the evolutionary stable strategy (ESS) of university-industry collaborative innovation. By utilizing MATLAB software, the analysis ...
Abstract: An active security control approach is developed in this article for cyber-physical systems (CPSs) under denial-of-service (DoS) attacks, where DoS attacks exist in both the ...
Abstract: A high-precision feature extraction model is crucial for change detection (CD). In the past, many deep learning-based supervised CD methods learned to recognize change feature patterns from ...
Abstract: In this paper, a new control mechanism for the variable forgetting factor (VFF) of the recursive least square (RLS) adaptive algorithm is presented. The control algorithm is basically a ...
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