Abstract
In this paper a new wearable locomotion data capture system for gait analysis is presented. The system under development intends to help clinicians to detect and identify mobility impairments as well as to evaluate the effectiveness of surgical or rehabilitation intervention. The proposed system allows the measurement of kinematic and biomechanical parameters in a practical and comfortable weft knitted legging, in which the sensors are incorporated.

Abstract
Digital circuits exposed to environments with high levels of radiation, such as those found in High Energy Physics experiments, are prone to Single Event Upsets. These upsets impact the reliability of the circuit. In order to mitigate the effects of the upsets, several well-known techniques for use with register transfer level (RTL) circuit descriptions have been proposed over the years. They typically have a large impact on circuit size and power consumption. Therefore, they are often applied only to the more critical modules of the system. Additionally, the manual implementation of those techniques has a significant cost in terms of time and design effort, involving both RTL changes and tailoring of the synthesis flow to avoid optimizing away the additional hardware. This paper describes an automated workflow that reduces the time for implementing SEU mitigation techniques, avoids the errors caused by manual alteration of the RTL descriptions, and enables the designer to explore different alternatives quickly. The paper describes the application of the workflow to three digital circuits and discusses the data obtained from the implementation of the different mitigation techniques.

Abstract
This chapter describes the design-flow approach developed in the REFLECT project as presented originally in [1]. Over the course of the project, this design-flow has evolved and has been extended into a fully operational toolchain. We begin by presenting an overview of the underlying aspect-oriented compilation flow followed by an extended description of the design-flow and its toolchain. © Springer Science+Business Media New York 2013. All rights are reserved.

Abstract

Abstract
In this paper we describe innovative advances to the design of a new frequency-domain algorithm to glottal source estimation whose conceptual approach we have reported recently [1]. Those advances result from accurate sinusoidal/harmonic analysis and synthesis of two concomitant acoustic signals: the glottal source signal captured near the vocal folds, and the corresponding voiced signal captured outside the mouth. We describe the experimental procedure which was performed by an ORL specialist using a rigid video-laryngoscope and two tiny and high-quality microphones. Six subjects have participated in the tests and records were made for vowels /a/ and /i/. The data analysis allowed us to conclude on the magnitude and on the phase-related NRD features of the glottal source signal. In addition, a new frequency-domain glottal pulse model combining features of the Liljencrants-Fant and Rosenberg models has been devised that is a better match to the observed data. The derivatives of the three models are obtained using accurate frequency-domain processing. The paper concludes with next research steps.

Abstract
Critical monitoring applications can use wireless sensor networks to transport delay sensitive data. This data may demand bounded delays in order to be considered useful by the receiver. In these cases, an accurate and real-time estimation of the end-to-end delay could be used to anticipate the data usefulness prior to sending it. A novel real-time and end-to-end delay estimation mechanism is proposed in this paper, which considers processing times and two new RPL metrics. Results show that our proposal is more accurate than the ETT-based solution for delay estimation, and it does not significantly degrade the network performance.