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This paper aims to develop intelligent Predictive Monitoring Emission Systems (PEMS) for three distinct case studies involving traffic, gasoline fuel tanks and large combustion plants (LCP). The underlying theme of pollutant emissions exists in all three case studies whereby the gases that are monitored are NO2, unburned hydrocarbons, and SO2. These pollutants can cause grievous harm to health, environment...
The association and restriction are among the process of storage, transportation, demand and distribution of petroleum products. Without reasonable solution, shortage of product storage and imperfect vehicle arrangement would happen, and the cost of transportation, distribution and management would increase dramatically. Consider these factors, the scheduling model of the storage and transportation...
In order to reduce the noise effect in sonar images, the algorithm combined morphology with median filter was proposed to wipe off the Gaussian and pulse noise simultaneously which was based on the simplified pulse coupled neural networks (PCNN). Using the PCNN’s output images we could confirm the pixel’s position corresponding to noise, and keep the internal integrity of targets by the morphological...
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