A mm-Wave Sensor for Remote Measurement of Moisture in Thin Paper Layers

We present the design and performance of a moisture sensor operating at 200 GHz for remote measurement of water content in paper. The system aims at industrial processes such as offset print and paper production. The moisture content in the paper is derived through an accurate measurement of the loss of a signal transmitted through the paper. The system is designed to achieve high accuracy in the measurement of the loss presented by the paper, not affected by 1/f or drift noise. The sensor is capable of resolving 0.005 dB loss achieving a moisture resolution of 0.1% for moisture content higher than 15%. The resolution can be improved if necessary in exchange for longer measurement times. The sensor is tested in offset print and paper production processes and measured values are compared to laboratory measured samples of the paper

A new UWB radar system using UWB CMOS chip

A complete ultra-wideband (UWB) radar system is presented in this paper. The radar system consists of UWB CMOS radar transceiver and two compact directional UWB antennas for the purpose of transmission and reception. Different possible applications were investigated in the domain of ranging and tracking using this system along with fast and efficient signal processing algorithms. The results obtained are very promising for this new technology

A new UWB radar system using UWB CMOS chip

A complete ultra-wideband (UWB) radar system is presented in this paper. The radar system consists of UWB CMOS radar transceiver and two compact directional UWB antennas for the purpose of transmission and reception. Different possible applications were investigated in the domain of ranging and tracking using this system along with fast and efficient signal processing algorithms. The results obtained are very promising for this new technology

Non-destructive phenotypic analysis of early stage tree seedling growth using an automated stereovision imaging method

A plant phenotyping approach was applied to evaluate growth rate of containerized tree seedlings during the precultivation phase following seed germination. A simple and affordable stereo optical system was used to collect stereoscopic red-green-blue (RGB) images of seedlings at regular intervals of time. Comparative analysis of these images by means of a newly developed software enabled us to calculate (a) the increments of seedlings height and (b) the percentage greenness of seedling leaves. Comparison of these parameters with destructive biomass measurements showed that the height traits can be used to estimate seedling growth for needle-leaved plant species whereas the greenness trait can be used for broad-leaved plant species. Despite the need to adjust for plant type, growth stage and light conditions this new, cheap, rapid, and sustainable phenotyping approach can be used to study large-scale phenome variations due to genome variability and interaction with environmental factors