In this paper, we propose profiting from the available knowledge in LMF standardized dictionaries, notably the semantic and syntactico-semantic knowledge, to enhance the measure of sentence similarity.
The system is based on carbon-fiber heated cable (CFHC) technology that has been developed to enhance the measuring accuracy of in-situ soil moisture content.
Next, the signal preprocessing techniques used for enhancing the measured AE signals in the presence of noise and data acquisition imperfections are presented.
The Royal Norwegian Embassy in Tanzania is acknowledged for funding the field work of this study through the project "Enhancing the measuring, reporting and verification (MRV) of forests in Tanzania through the application of advanced remote sensing techniques".
The financial support for this research was provided by the projects entitled "Enhancing the Measuring, Reporting and Verification (MRV) of forests in Tanzania through the application of advanced remote sensing techniques".
Profiting from the availability of LMF-standardized dictionaries, we propose, in this paper, a generic method that enhances the measure of sentence similarity by applying semantic and syntactico-semantic knowledge.
It was assumed that such a composite material provides the optimum conditions for bioelectrocatalytic oxygen reduction and allows enhancing the measured current values referred to the electrode geometric surface.
The project "Enhancing the measuring, reporting and verification (MRV) of forests in Tanzania through the application of advanced remote sensing techniques" funded by the Royal Norwegian Embassy in Tanzania as part of the Norwegian International Climate and Forest Initiative, also contributed to the data collection.
In S-DTS, a Carbon Fiber Heating Cable, called CFHC, is designed and made for enhancing the measure sensitivity and accuracy of DTS for seepage monitoring; a characteristic temperature (Tt) is proposed and defined for establishing the quantitative relationship between the measured temperature value and the seepage rate (V) easily.
The good separation ability also enhances the measure's sensitivity for detecting change.
