14 research outputs found
Hypertension and Exposure to Noise Near Airports: the HYENA Study
We compare two approaches for high-level power estimation of DSP components implemented in FPGAs for different sets of data streams from real-world applications. The first model is a power macro-model based on the Hamming distance of input signals. The second model is an analytical high-level power model based on switching activity computation and knowledge about the component’s internal structure, which has been improved to also consider additional information on the signal distribution of two consecutive input vectors. The results show that the accuracy of both models is, in most cases, within 10% of the low-level power estimates given by the tool XPower when cycle-bycycle input signal distributions are taken into account, and that the difference between the model accuracies depends significantly on the nature of the signals. Additionally, the effort required for the characterization and construction of the models for different component structures is discussed in detail
Can exposure to noise affect the 24 h blood pressure profile? Results from the HYENA study
International audienceObjective: To study the association between exposure to transportation noise and blood pressure (BP) reduction during night-time sleep. Methods: 24-hour ambulatory BP measurements at 15-minutes intervals were carried out on 149 persons living near 4 major European airports. Noise indicators included total and source-specific equivalent indoor noise, total number of noise events, annoyance scores for aircraft and road-traffic night-time noise. Long-term noise exposure was also determined. Multivariate linear regression analysis was applied. Results: The pooled estimates show that the only noise indicator associated consistently with a decrease in BP dipping is road traffic noise. The effect shows that a 5dB increase in measured road traffic noise during the study night is associated with 0.8% (-1.55,-0.05) less dipping in diastolic BP. Noise from aircrafts was not associated with a decrease in dipping, except for a non-significant decrease noted in Athens where the aircraft noise was higher. Noise from indoor sources did not affect BP dipping. Conclusions: Road traffic noise exposure maybe associated with a decrease in dipping. Noise from aircrafts was not found to affect dipping in a consistent way across centers and indoor noise was not associated with dipping
Aircraft noise exposure and saliva cortisol in a pooled-analysis from seven European countries
23rd International congress on acoustics 9 - 13 septembre 2019 Aachen, Allemagne, AIX LA CHAPELLE, ALLEMAGNE, 09-/09/2019 - 13/09/2019HYENA (HYpertension and Exposure to Noise near Airports), a well-known study on the health effects of aircraft noise, involved 4,861 participants from six European countries (except France). DEBATS (Discussion on the health effects of aircraft noise), a study with a similar protocol, included 1,244 participants from France. Saliva samples were obtained for 439 and 954 participants in HYENA and DEBATS respectively, to determine cortisol concentration as a possible marker of noise-induced stress. Associations were found between aircraft noise and cortisol levels in each study separately, but they were not consistent between the two studies. The objective of the present study was to combine datasets to improve statistical power. Methods : We investigated the associations between aircraft noise levels and, the log-cortisol levels in the morning and in the evening, and the log-relative variation per hour, adjusted for relevant confounders. Results : We found evidence in women for an increase in the log-evening cortisol level ?=0.09 (95%CI 0.01;0.17), and for flattening of the log-relative variation per hour ?=-0.09 (95%CI -0.16;-0.02), with a LDEN 10-dB(A) increase, but no significant effects in men. Conclusions : These findings provide some support for psychological stress induced by aircraft noise exposure, resulting in disruption of hormonal rhythms
5G-ENSURE - D2.1 Use Cases
This document describes a number of use cases illustrating security and privacy aspects of 5G networks. Based on similarities in technical, service and/or business-model related aspects, the use cases are grouped into use case clusters covering a wide variety of deployments including, for example, the Internet of Things, Software Defined Networks and virtualization, ultra-reliable and standalone operations. The use cases address security and privacy enhancements of current networks as well as security and privacy functionality needed by new 5G features. Each use case is described in a common format where actors, assumptions and a sequence of steps characterising the use case are presented together with a short analysis of the security challenges and the properties of a security solution. Each use case cluster description is concluded with a “5G Vision” outlining the associated enhancements in security and privacy anticipated in 5G networks and systems. A summary of the 5G visions and conclusions are provided at the end of the document