• Rural Digital Europe
• 0203 mechanical engineering close

GMTI radars operate in high altitudes on airborne platforms and observe wide areas on the ground. Thus thousands of moving objects are detected by their Doppler and all measurements are encoded and transmitted to ground stations. Usually, this ends up in a big data or at least mass data problem, especially when results are collected over a long period of time for analysis. So exploratory data analysis suited for GMTI radars has to provide methods and tools that can handle that data automatically with user defined constraints. These constraints are normally limitations in location and times but can also include additional filtering methods which depend on the operators' interest. However, this approach needs some prerequisites for data storage and replay so that the data can be processed efficiently. This paper gives an overview of the information chain from GMTI data to data analysis.

The aim of this work is to present the development of a bio-inspired approach for a robotic tail using Macro Fiber Composites (MFC) as actuators. The use of this technology will allow achieving closer to the nature approach of the tail, aiming to mimic a bird tail behavior. The tail will change its shape, performing morphing, providing a new type of actuation methodology in flapping control systems. The work is intended as a first step for demonstrating the potential of these technologies for being applied in other parts of the aerials robotics systems. When compared with traditional actuation approaches, one key advantage that is given by the use of MFC is their ability to adapt to different flight conditions via geometric tailoring, imitating what birds do in nature. Theoretical explanations, design, and experimental validation of the developed concept using different methodologies will be presented in this paper.

International audience; Solar Orbiter mission will study the Sun to the proximity of 0.28 AU, reaching solar latitudes up to 34°. This spacecraft will be launched in 2017 and will represent a complete approach to heliophysics. The Polarimetric and Helioseismic Imager (PHI), on board of Solar Orbiter, will provide the most important data for helioseismology. PHI will measure the photospheric vector magnetic field and the line-of-sight velocity observing the FeI 6173 A absorption line with a narrowband filtergraph (FG). At different spectral positions, the polarization state of the incoming light will be analyzed. The FG will provide a tuning range to compensate the spacecraft radial velocity and to scan the continuum at both sides of the absorption line. Thus, the fine tuning of the FG is essential for the instrument performance. Here we present the FG characterization and calibration status as they represent an important milestone in the development of the instrument.

The conducted researches have shown that the features of the housing and communal sector do not allow talking about the possibility of calculating the “optimal” tariff rate. Also in the current conditions in Russia, tariff methods that are successfully used abroad (for example, the method of reinvested capital) cannot be used. The correct approach to housing and communal tariff formation is the calculation of compromise tariffs, the size of which takes into account the interests of consumers of services, resource-supply organizations, public authorities and investors. Development of an effective method of tariff formation for rural areas is particularly acute. The correct approach to housing and communal tariff formation is the calculation of compromise tariffs, the size of which takes into account the interests of services’ consumers, resource-supply organizations, public authorities and investors. Compromise approach for tariffs’ formation can also become an effective instrument not only in Russia: it can be applied in countries where it is sufficient to calculate housing and communal services’ social demand and its budget coverage (e.g. because of the increasing number of migrants). info:eu-repo/semantics/publishedVersion

Synthetic Aperture radar (SAR) is widely used for Earth ground imaging and mapping. In most cases, the SAR radar is an active device and can be mounted on both air- and space-borne platforms. Passive SAR imagery utilizes different illuminators of opportunity such as DVB-T, WIFI, or other active radar transmitters has been gaining attention recently. In results first experimental results of passive SAR imaging have been shown in last years by researchers. Simultaneous active and passive SAR imaging is the next natural step in the development of this technology. In this paper, a system which consists of two demonstrators operates together in active (C band) and passive (DVB-T band) modes is presented. The preliminary results of the active and passive SAR imaging of the same ground area taken at the same time using a small airborne platform have been shown.

Air-to-ground surveillance requires using synthetic-aperture radar (SAR) technology for clutter reduction and for fulfilling resolution requirements. By using ultra-wideband VHF- and UHF-band SAR, detection of targets concealed by forests is enhanced, compared to using SAR operating at higher frequency bands. The need for fine resolution and hence large bandwidth, however, limits the use of the former technology due to lack of allocated frequency bands. Passive SAR using illuminators of opportunity is not limited in this respect and is an alternative concept to be evaluated. An experiment was performed in June 2016 in order to assess the potential of using passive UHF-band SAR. The airborne system LORA was used in a configuration with six 10-MHz receive channels, specifically with three antenna channels covering two 8-MHz digital TV (DVB-T) frequency bands centered on 530 and 594 MHz, respectively. The trial included two different target deployments on two different days for repeat pass analysis. Resulting passive SAR images shown are from the first day of deployment and based on one TV channel with three antenna elements providing beamforming. From these images, the target response of 13 objects consisting of corner reflectors and vehicles were evaluated.

The substantial growth in mobile Internet and Internet of Things traffic has made system capacity enhancement the most important requirement for next-generation mobile communication systems. Massive multiple-input, multiple-output (mMIMO) is a key technology for fulfilling the traffic requirements because of its strong potential to boost spectral efficiency (SE). However, the uplink and downlink of mMIMO usually operate in time-division duplex (TDD) or frequency-division duplex (FDD), which results in an insufficient utilization of time-frequency resources.

The aims objective of this work consists to study the storage system effects on the thermal performance of a tunnel agricultural greenhouse. The study focus on the use of the data climate analysis to predict the outside needs as comparison with another without storage system. The obtained results indicate that the outside needs are less than the no heated with 3 to 5°c during winter night. The thermal behavior of the greenhouse was study numerically and the results are corroborating with the literature. In addition, we conducted a comparative study designed to identify the optimal form of the greenhouse; two geometrical configuration are considered.

Simulation in robotics is often based on physics engines developed for computer games and animation. These engines are inaccurate due to the applied first order numerical integration and because their ways to resolve redundant contacts lead to contact forces that are distributed in a physically unreasonable way among multiple contacts. In this paper, we present a new physics engine that resolves these flaws by designing and implementing a second order integration method, and by a new way of defining the contact-force resolution problem. We illustrate the improvement over state-of-the-art engines by a number of experiments. The new engine is proven to be particularly suitable for simulating tight fitting assembly operations where multiple contacts occur between the objects involved.

Successful tracking and detection of resident space objects (RSOs) requires selection of spectral filters that are capable of compensating for the effects of wavelength dependent atmospheric scattering, and material reflectance properties. When operating in an urban environment such as Atlanta, GA the emitted city light pollution is also an important factor. In this study, we perform a multi-spectral optimization for the Georgia Tech Space Object Research Telescope across the visible through infrared spectrum that accounts for atmospheric turbulence, atmospheric transmission, and background sky radiance. The first contribution of this work is the development of a wavelength-dependent performance metric for the detection of RSOs under different atmospheric conditions. The second contribution is the derivation of a simplified model for light pollution that is based on existing astronomy models. This simplified model accounts for double scattering of light and can be used for adding a light pollution component to sky background results that are generated by complex atmospheric simulation tools. The final contribution is the derivation of novel spectral filters that are tuned to the sub-optimal atmospheric seeing conditions of Atlanta, GA and the RSO materials that are considered in this study. While this study is developed for the geographic region of Atlanta, GA and uses simplified bidirectional reflectance distribution models models for spacecraft materials, the framework is generalizable to different geographic regions, weather conditions, and satellite orientations.