Abstract: A leakage detecting assembly includes a sheet leakage detecting module, a signal output unit, and a monitoring control system. The sheet leakage detecting module covers a wielding area or a connection area of a pipeline, and surrounds the pipeline. The sheet leakage detecting module is in direct contact with an outer surface of the pipeline. The signal output unit is electrically connected to the sheet leakage detecting module. The monitoring control system is electrically connected to the signal output unit.

Abstract: A method and system for combining a 2D image and a 3D model and a storage medium thereof are provided. A corresponding relation between a general model and a 2D image is established. A system provides an operation interface. Next, functions provided by the operation interface include designating a feature point on the 2D image and specifying a confirmation point corresponding to the feature point on the general model. Finally, according to a viewpoint space vector of the general model, a display space vector of the 2D image is decided. Furthermore, when the operation interface displays the general model according to a specific viewpoint space vector, the 2D image having the corresponding display space vector is selected for display.

Abstract: A scheduler of a virtual machine (VM) module, a scheduling method thereof, and a device containing computer software are provided. The scheduler has a classification module and a scheduling module. The classification module receives at least one VM module and analyzes a resource proportion parameter to generate classification result information. The scheduling module has a first schedule queue and a second schedule queue, sort an immediately resource-required VM module to the first schedule queue and a non immediately resource-required VM module to the second schedule queue, and determine whether the VM module of the first schedule queue exists or not, and if yes, it outputs the VM module of the first schedule queue to a processor; otherwise, outputs the VM module of the second schedule queue to the processor.

Abstract: A method and system for combining a 2D image and a 3D model and a computer program product thereof are provided. A corresponding relation between a general model and a 2D image is established. A system provides an operation interface. Next, functions provided by the operation interface include designating a feature point on the 2D image and specifying a confirmation point corresponding to the feature point on the general model. Finally, according to a viewpoint space vector of the general model, a display space vector of the 2D image is decided. Furthermore, when the operation interface displays the general model according to a specific viewpoint space vector, the 2D image having the corresponding display space vector is selected for display.

Abstract: A system, device, method, and computer program product for facial defect analysis using an angular facial image are provided. The system includes a storage module, an image angle detection module, a feature definition module, and a skin analysis module. The storage module stores at least one angular facial image, at least one skin defect condition, and at least one of multi-angle facial feature conditions. The image angle detection module detects an angle of the angular facial image. The feature definition module analyzes the angular facial image according to the facial feature conditions, so as to obtain at least one facial skin area image. The skin analysis module determines whether at least one skin defect image exists in the at least one facial skin area image by using the skin defect condition, and if yes, marks the at least one skin defect image in the at least one facial skin area image.

Abstract: A scheduler of a virtual machine (VM) module, a scheduling method thereof, and a device containing computer software are provided. The scheduler has a classification module and a scheduling module. The classification module receives at least one VM module and analyzes a resource proportion parameter to generate classification result information. The scheduling module has a first schedule queue and a second schedule queue, sort an immediately resource-required VM module to the first schedule queue and a non immediately resource-required VM module to the second schedule queue, and determine whether the VM module of the first schedule queue exists or not, and if yes, it outputs the VM module of the first schedule queue to a processor; otherwise, outputs the VM module of the second schedule queue to the processor.