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We revisit our prior work on clock skew compensation immune to floating-point precision loss and provide practical as well as theoretical bounds on the initial value of the skew-compensated clock based on a systematic analysis of the errors of floating-point operations; by practical bounds, we mean the actual values of the theoretical bounds calculated at resource-constrained computing platforms like WSN nodes equipped with 32-bit single-precision floating-point format. Numerical examples demonstrate that the proposed practical bounds on single-precision floating-point format do not violate the theoretical bounds and thereby can guarantee the correctness of the clock skew compensation on resource-constrained computing platforms. [ABSTRACT FROM AUTHOR]

We report the results of our investigation on the use of deep neural networks (DNNs) for building/floor classification and floor-level location estimation based on Wi-Fi fingerprinting. We propose a new DNN architecture based on a stacked autoencoder for feature space dimension reduction and a feed-forward classifier for multi-label classification with arg max functions to convert multi-label classification results into multi-class classification ones. We also demonstrate a prototype system for floor-level location estimation using received signal strengths measured on XJTLU campus. Our results show the strengths of DNN-based approaches, providing near state-of-the-art performance with less parameter tuning and higher scalability. [ABSTRACT FROM AUTHOR]

A comprehensive research framework for a comparative analysis of candidate network architectures and protocols in the clean-slate design of next-generation optical access is proposed. The proposed research framework consists of a comparative analysis framework based on multivariate non-inferiority testing and a notion of equivalent circuit rate taking into account user-perceived performances and a virtual test bed providing a complete experimental platform for the comparative analysis. The capability of the research framework is demonstrated through numerical results from the study of the elasticity of hybrid time division multiplexing/wavelength division multiplexing–passive optical network based on tunable transceivers. [ABSTRACT FROM PUBLISHER]