In the present study, hyperspectral imaging and remote sensing of fluorescence were integrated to monitor nitrogen content in leaves drip-irrigated cotton at different growth periods northern Xinjiang, China. Based on spectrum chlorophyll parameters obtained through shuffled frog-leaping algorithm (SFLA), successive projection (SPA), grey relational analysis (GRA), competitive adaptive reweight...

predicting the quality of water and air is a particular challenge for forecasting systems that support them. in order to represent the small-scale phenomena, a high-resolution model needs accurate capture of air and sea circulations, significant for forecasting environmental pollution. data assimilation is one of the state of the art methods to be used for this purpose. due to the importance of...

with regard to the importance of technological developments, senior enterprise managers should be aware of their organization's technological capabilities, changes and developments in the world, and also have information from their rivals' efforts in achieving new technologies, to be in line of their organization's technology developments. therefore a technological needs assessment model, is de...

Real time and accurate fault detection has attracted an increasing attention with a growing demand for higher operational efficiency and safety of industrial gas turbines as complex engineering systems. Current methods based on condition monitoring data have drawbacks in using both expert knowledge and quantitative information for detecting faults. On account of this reason, this paper proposes...