biomimetic sensor suite for flight control of a micromechanical flying insect: design and experimental results, in

Four types of biomimetic sensors have been designed and simulated for flight control of a robotic flying insect. The ocelli use four photodiodes to detect changes in light intensity in the surrounding. The halteres use piezo-actuated vibrating structures to sense the Coriolis forces to detect angular velocities. The optic flow sensors consist of linear arrays of elementary motion detectors to register optic flows. The MEMS compass uses three metal loops to detect changes in the magnetic field. Despite simplicity and novelty, the preliminary tests on these devices showed promising performances for using such biomimetic sensors on a robotic flying insect.

Fiber opticsensors for precursory acoustic signals detection in rockfall events

Two fiber optic sensors (FOSs) for detection of precursory acoustic emissions in rockfall events are addressed and experimentally characterized. Both sensors are based on interferometric schemes, with the first one consisting of a fiber coil used as sensing element and the second one exploiting a micro-machined cantilever carved on the top of a ferrule. Preliminary comparisons with standard piezo-electric transducers shows the viability of such FOSs for acoustic emission monitoring in rock masses

The application of the Boolean Stochastic Generation Method to model seepage under levees in heterogeneous soils

Soil heterogeneity plays an important role in incrementing the uncertainty about the reliability of geotechnical engineering works, especially levees. The presence of thin layers of soils more permeable than the surrounding matrix significantly changes the seepage flow net below and within the dike. However, the detection of these layers is extremely difficult. Consequently, to evaluate the overall safety of dikes it may be useful to adopt stochastic computation methods. The paper presents the calibration of a seepage model of an operational river embankment subject to sand boils. The levee, located along the Adige River (South Tyrol, Italy), has been monitored since 2016. Piezometers and spot temperature sensors are installed in the lateral banks while a distributed fiber optic sensors (FOS), buried in a 350 m long trench at the toe of the levee, is used to check temperature distribution in the subground. The Boolean Stochastic Generation (BoSG) method addresses the influence of layers of material with different properties with respect of the surrounding soil. 360 soil configurations were generated for a two-dimensional groundwater flow model of the levee and confronted with the monitoring data of two piezometers. This analysis permits to identify the configuration that has effects more congruent with piezometers data, which in this case is a configuration with a major presence of lenses on the waterside respect the field-side. This evidence could guide strategies for remedial works

On distributed strains in a CFA pile via DFOSs measurements and numerical analysis

Fibre Optic Sensors (FOSs) offer unprecedented possibilities for the monitoring of engineering structures, such as foundation systems. Notably, the type of FOSs known as Distributed Fibre Optic Sensors (DFOSs) has the capability of monitoring variations in the observed physical field, such as strain and temperature, with spatial continuity along the fibre. This paper presents and discusses the distributed strain measurements collected along a continuous flight auger (CFA) pile, belonging to the foundation raft of a new bridge subjected to an acceptance static load test. The monitoring was performed using a DFOS system, which works according to the optical frequency domain reflectometry (OFDR) method and provides a spatial resolution of 10 mm and a strain resolution of 1 \u3bc\u3b5. The in-situ monitoring results were used to calibrate a 3D Finite Element Model of the foundation system. The soil properties for the numerical model were also selected on the basis of a load test previously carried out on a similar pile at the same sit

Resilient Parameter-Invariant Control With Application to Vehicle Cruise Control

This work addresses the general problem of resilient control of unknown stochastic linear time-invariant (LTI) systems in the presence of sensor attacks. Motivated by a vehicle cruise control application, this work considers a first order system with multiple measurements, of which a bounded subset may be corrupted. A frequency-domain-designed resilient parameter-invariant controller is introduced that simultaneously minimizes the effect of corrupted sensors, while maintaining a desired closed-loop performance, invariant to unknown model parameters. Simulated results illustrate that the resilient parameter-invariant controller is capable of stabilizing unknown state disturbances and can perform state trajectory tracking

Dual-core elliptical hollow optical fiber with linearly wavelength-decreasing birefringence

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Vulnerability analysis of satellite-based synchronized smart grids monitoring systems

The large-scale deployment of wide-area monitoring systems could play a strategic role in supporting the evolution of traditional power systems toward smarter and self-healing grids. The correct operation of these synchronized monitoring systems requires a common and accurate timing reference usually provided by a satellite-based global positioning system. Although these satellites signals provide timing accuracy that easily exceeds the needs of the power industry, they are extremely vulnerable to radio frequency interference. Consequently, a comprehensive analysis aimed at identifying their potential vulnerabilities is of paramount importance for correct and safe wide-area monitoring system operation. Armed with such a vision, this article presents and discusses the results of an experimental analysis aimed at characterizing the vulnerability of global positioning system based wide-area monitoring systems to external interferences. The article outlines the potential strategies that could be adopted to protect global positioning system receivers from external cyber-attacks and proposes decentralized defense strategies based on self-organizing sensor networks aimed at assuring correct time synchronization in the presence of external attacks

Influência do Etefon na distribuição de nutrientes e carboidratos e sobre o crescimento em videiras jovens.

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