In response to the deposition problem in biomass-fired boiler, inert addictive was tested to inhibit the possibility of coking. The deposition samples collected from final and primary superheater of biomass-fired CFB (circulating fluidized bed) boiler were grinded into fine powder. The inhibitive ability of additive was tested by mixing the deposition sample with different proportions of inhibitor under high temperature. By means of scanning electron microscope (SEM), X-ray diffraction (XRD) and other analytical procedures, the properties of the samples with inhibitor such as microstructure, composition were studied. The inhibitor was also introduced to the industrial biomass CFB boiler to verify its inhibition effect on superheater deposition. Unfortunately, the effect of adding inhibitor in industrial boiler is not certain, though the inhibitor added to the samples is obviously effective in weakening coking in the laboratory scope.
Multimedia system is a typical application of time-critical computing. In networked multimedia system such as video conferencing, real-time image communication is the key for system success. To address this problem, we employ time-critical computing technique. In our method, images are decomposed into intensity-information and color information. The intensity information of an image is preserved, and the color information may be spatially sub-sampled, resulting in different color resolutions of images. When an image is transmitted over network, the intensity information of the image is transferred, then a low resolution color information is transferred. Time permitting, color information of higher resolution for the image can be incorporated. The result is that we can discard a large portion of the color image and let the visual system map the color information into the intensity image. With this method, the image data to be transferred over the network is greatly reduced ,and the time-constraints ofreal-time image communications are satisfied. This technique is successfully used in our cooperative CAD systems.
scite is a Brooklyn-based organization that helps researchers better discover and understand research articles through Smart Citations–citations that display the context of the citation and describe whether the article provides supporting or contrasting evidence. scite is used by students and researchers from around the world and is funded in part by the National Science Foundation and the National Institute on Drug Abuse of the National Institutes of Health.