2,025 research outputs found

    Technical Note: Novel method for water vapor monitoring using wireless communication networks measurements

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    International audienceWe propose a new technique that overcomes the obstacles of the existing methods for monitoring near-surface water vapor, by estimating humidity from data collected through existing wireless communication networks. Weather conditions and atmospheric phenomena affect the electromagnetic channel, causing attenuations to the radio signals. Thus, wireless communication networks are in effect built-in environmental monitoring facilities. The wireless microwave links, used in these networks, are widely deployed by cellular providers for backhaul communication between base stations, a few tens of meters above ground level. As a result, the proposed method can provide moisture observations at high temporal and spatial resolution. Further, the implementation cost is minimal, since the data used are already collected and saved by the cellular operators. In addition ? many of these links are installed in areas where access is difficult such as orographic terrain and complex topography. As such, our method enables measurements in places that have been hard to measure in the past, or have never been measured before. We present results from real-data measurements taken from two microwave links used in a backhaul cellular network that show excellent correlation to surface station humidity measurements. The measurements were taken daily in two sites, one in northern Israel (28 measurements), the other in central Israel (29 measurements).The correlation of the microwave link measurements to those of the humidity gauges were 0.9 and 0.82 for the north and central sites, respectively. The RMSE were 20.8% and 33.1% for the northern and central site measurements, respectively

    Determinants of Knowledge about Social Security: A Study of Nonremarried Widows Caring for Children

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    Social security beneficiaries and the general public alike are concerned about the financial solvency of the social security program. But how much do they know about how the system works? This study analyzes the determinants of knowledge about social security among nonremarried widows having children under their care. It builds a research model based on the economic theory of rational decision making. Using ordinary least squares regression estimation techniques, the level of knowledge about specific social security provisions is regressed on family income, implicit tax rate, number of children, human capital variables, and other demographic and locational variables. The findings support the economic theory applied to this study. Widows who gain more by knowing social security provisions indeed know more about them than those who gain less
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