Transient Combustion Characteristics of Methane-Hydrogen Mixtures in Porous Media Burner.

The combustion of conventional methane-hydrogen mixtures is associated with challenges such as combustion instability and excessive pollutant emissions. This study explores the advantages of porous media, which include a wide operating range, enhanced combustion stability, high combustion efficiency, and reduced pollutant emissions. We conducted numerical transient simulations to investigate methane-hydrogen combustion within a porous media, focusing on a cylindrical double-layer porous burner geometry.

Investigation on the Combustion Characteristics and Environmental Effects of Hydrogen-doped Natural Gas for Domestic Water Heaters.

The addition of hydrogen to natural gas is an effective approach to broaden the range of applications for hydrogen and address the issue of global warming. However, the inclusion of hydrogen alters the combustion properties of natural gas. The paper established a simplified mechanism consisting of 19 components and a 67-step reaction for hydrogen-doped natural gas combustion.

A markerless beam's eye view motion monitoring algorithm based on structure conversion and demons registration in medical image with partial data.

Purpose: To propose a markerless beam's eye view (BEV) motion monitoring algorithm, which works with the inferior quality megavolt (MV) images with multi-leaf collimator (MLC) occlusion-compatible.

Methods: A thorax phantom was used to verify the accuracy of the algorithm. Lung tumor quality assurance (QA) plans were generated for the phantom, and delivered 10 times on the linear accelerator with manually treatment offsets in various directions.

A markerless beam's eye view tumor tracking algorithm based on unsupervised deformable registration learning framework of VoxelMorph in medical image with partial data.

Purpose: To propose an unsupervised deformable registration learning framework-based markerless beam's eye view (BEV) tumor tracking algorithm for the inferior quality megavolt (MV) images with occlusion and deformation.

Methods: Quality assurance (QA) plans for thorax phantom were delivered to the linear accelerator with artificially treatment offsets. Electronic portal imaging device (EPID) images (682 in total) and corresponding digitally reconstructed radiograph (DRR) were gathered as the moving and fixed image pairs, which were randomly divided into training and testing set in a ratio of 0.