Study on sintering flue gas desulfurization process selection

The new flue gas desulfurization system of 108m2 sintering machine is reformed, combined with the applicable scope of common desulfurization and dust removal process and the basic principles of desulfurization and dust removal process selection, the advanced and reliable rotary spray dryer absorber(SDA) technology is selected for flue gas desulfurization. Taking the process equipment of desulfurization system as the carrier, the process flow of desulfurization and dust removal system is designed

Study on sintering flue gas desulfurization process selection

The new flue gas desulfurization system of 108m2 sintering machine is reformed, combined with the applicable scope of common desulfurization and dust removal process and the basic principles of desulfurization and dust removal process selection, the advanced and reliable rotary spray dryer absorber(SDA) technology is selected for flue gas desulfurization. Taking the process equipment of desulfurization system as the carrier, the process flow of desulfurization and dust removal system is designed

Transmutation prospect of long-lived nuclear waste induced by high-charge electron beam from laser plasma accelerator

Photo-transmutation of long-lived nuclear waste induced by high-charge relativistic electron beam (e-beam) from laser plasma accelerator is demonstrated. Collimated relativistic e-beam with a high charge of approximately 100 nC is produced from high-intensity laser interaction with near-critical-density (NCD) plasma. Such e-beam impinges on a high-Z convertor and then radiates energetic bremsstrahlung photons with flux approaching 10^{11} per laser shot. Taking long-lived radionuclide ^{126}Sn as an example, the resulting transmutation reaction yield is the order of 10^{9} per laser shot, which is two orders of magnitude higher than obtained from previous studies. It is found that at lower densities, tightly focused laser irradiating relatively longer NCD plasmas can effectively enhance the transmutation efficiency. Furthermore, the photo-transmutation is generalized by considering mixed-nuclide waste samples, which suggests that the laser-accelerated high-charge e-beam could be an efficient tool to transmute long-lived nuclear waste.Comment: 13 pages, 8 figures, it has been submitted to Physics of Plasm

Deep Multi-instance Networks with Sparse Label Assignment for Whole Mammogram Classification

Mammogram classification is directly related to computer-aided diagnosis of breast cancer. Traditional methods rely on regions of interest (ROIs) which require great efforts to annotate. Inspired by the success of using deep convolutional features for natural image analysis and multi-instance learning (MIL) for labeling a set of instances/patches, we propose end-to-end trained deep multi-instance networks for mass classification based on whole mammogram without the aforementioned ROIs. We explore three different schemes to construct deep multi-instance networks for whole mammogram classification. Experimental results on the INbreast dataset demonstrate the robustness of proposed networks compared to previous work using segmentation and detection annotations.Comment: MICCAI 2017 Camera Read