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Traditional biometric recognition systems often utilize physiological traits such as fingerprint, face, iris, etc. Recent years have seen a growing interest in electrocardiogram (ECG)-based biometric recognition techniques, especially in the field of clinical medicine. In existing ECG-based biometric recognition methods, feature extraction and classifier design are usually performed separately. In...
Monoculture induced threats such as "pass the hash" attacks can spread more easily through a system of similar components. Introducing a few different and more robust components in the system has the potential to mitigate such situations. In this paper, we propose a constrained resource allocation optimization framework exploring the binary decision diagram (BDD) and mixed integer linear...
Motivated by potential applications such as the use of multiple robots to collaboratively localize multiple objects/events of interest through audio cues, we propose a novel solution for blind source separation (BSS) and localization using multiple microphone arrays. Unlike the existing state-of-the-art where direction of arrivals (DOAs) and locations are estimated sequentially, the proposed approach...
In this paper, we study one-bit quantizer design for distributed estimation under the minimax criterion for wireless sensor network (WSN) applications. Identical local quantizers are generally difficult to design because of the dependence on the unknown parameter under estimation. Nonidentical local quantizers are more robust in that sense. However, its design generally involves multi-dimensional...
The just-in-time compilers have been widely adopted in J2SE and J2ME virtual machines. However, it is a big challenge for a JIT compiler to generate high-quality native code under the tight time and memory constraints on embedded systems. This paper presents the framework and key optimizations of a JIT compiler we designed for Intelpsilas J2ME virtual machine, namely XORP, for XScaletrade architecture...
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