<![CDATA[ IEEE Embedded Systems Letters - new TOC ]]>
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TOC Alert for Publication# 4563995 2016August 29<![CDATA[Table of contents]]>83C1C1379<![CDATA[IEEE Embedded Systems Letters publication information]]>83C2C2128<![CDATA[<italic>In-Situ</italic> Requirements Monitoring of Embedded Systems]]>in-situ, on-chip hardware dynamically monitors the system execution, matches the specified requirements, and provides detailed information that can be analyzed in the event of a system failure. We present a case study using an autonomous vehicle subsystem demonstrating that the approach can achieve 100% detection rate of common failure types, including timing, dependency, synchronization, and sensor failures. We further analyze the relationship between coverage of system events, detection rates, and hardware requirements.]]>834952653<![CDATA[Battery Current’s Fluctuations Removal in Hybrid Energy Storage System Based on Optimized Control of Supercapacitor Voltage]]>835356807<![CDATA[Improving Dynamic Memory Allocation on Many-Core Embedded Systems With Distributed Shared Memory]]>835760613<![CDATA[Comments on “A Square-Root-Free Matrix Decomposition Method for Energy-Efficient Least Square Computation on Embedded Systems”]]>et al. based on a scheme by Björck in order to simplify computations when solving least-squares (LS) problems on embedded systems. The QDRD scheme aims at eliminating both the square-root and division operations in the QRD normalization and backward substitution steps in LS computations. It is claimed by Ren et al. (F. Ren et al., IEEE Embedded Syst. Lett., vol. 6, no. 4, pp. 73–76) that the LS solution only requires finding the directions of the orthogonal basis of the matrix in question, regardless of the normalization of their Euclidean norms. Multiple-input multiple-output (MIMO) detection problems have been named as potential applications that benefit from this. While this is true for unconstrained LS problems, we conversely show here that constrained LS problems such as MIMO detection still require computing the norms of the orthogonal basis to produce the correct result.]]>836163123<![CDATA[Introducing IEEE Collabratec]]>8364642106<![CDATA[IEEE Embedded Systems Letters information for authors]]>83C3C391<![CDATA[Blank page]]>83C4C45