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Deep neural networks achieve state-of-the-art performance for image classification and other tasks but are easily fooled by forgeries which slightly modify a legitimate image in a specific direction and are visually indistinguishable from the original. This presents a security risk for applications such as driverless transportation systems. We formulate detection of such forgeries as a watermark detection...
This paper analyzes the performance of a selective Decode-and-Forward (DF) protocol based cooperative space-time block coded spatial modulation (STBC-SM) MIMO system. Further, the analysis is presented for a Kronecker MIMO channel model considering spatial correlated channel conditions. The results are also derived for the diversity order of the system based on a high signal to noise ratio (SNR) characterization...
A key challenge in the control of the DC-DC buck converter is to compensate its lightly damped dynamics, which depend upon the load variations. In this paper we examine the application to DC-DC converter circuits of the linear state feedback tracking control method introduced by Schmid and Ntogramatzidis. This method aims to deliver a time-domain transient response that is both rapid and nonovershooting...
We consider a bench mark case study for the tracking control of hard-disk drive servo systems with voice-coil motor actuator. The recently introduced linear tracking control method of Schmid and Ntogramatzidis is applied to the problem and its performance is compared against a range of other linear and nonlinear techniques from the literature.
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