Abstract: An implementation method of an intelligent question-answering system for prostate cancer includes: acquiring lifestyle data for prostate cancer based on a preset first data source; using the lifestyle data for prostate cancer as metadata to construct a lifestyle knowledge base; constructing a lifestyle knowledge graph based on a preset second data source and the lifestyle knowledge base; and fusing the lifestyle knowledge base and the lifestyle knowledge graph to obtain the intelligent question-answering system for prostate cancer. The intelligent question-answering system for prostate cancer can help clinicians, medical staff, scientific researchers, and patients, as well as the general public, to acquire objective lifestyle data conveniently and efficiently, and accurately assess the impact on prostate cancer.

Abstract: An emission reduction device for cooking fumes produced from smoking, frying and roasting is provided, which includes a purifying-tank shell. One end of the purifying-tank shell is provided with an air inlet and other end of the purifying-tank shell is provided with an air outlet. The device further includes a nebulizer, an ultrasonic coagulating unit, and an electrostatic deposition unit, which are sequentially arranged in the purifying-tank shell from the air inlet to the air outlet. A box body is connected to the air outlet of the purifying-tank shell, the box body is provided with a photocatalytic oxidation unit, a plasma catalytic oxidation assembly and an end filter unit therein. An exhaust port is installed on a rear side of the box body. Two sides of the ultrasonic coagulating unit are each provided with a flow rectifier which is longitudinally and slidably arranged in the purifying-tank shell.

Abstract: The invention discloses a method of face image fusion, and the method comprises: calculating three-dimensional models of face in the material image and the target image as a first three-dimensional model and a second three-dimensional model respectively; calculating a first projection matrix and a second projection matrix by projecting the first three-dimensional model and the second three-dimensional model projecting onto a plane respectivley; calculating a first texture coordinate according to the first three-dimensional model and the first projection matrix; calculating a second texture coordinate according to the second three-dimensional model and the second projection matrix; obtaining a re-constructed face image of the target image by replacing the first texture coordinate with the second texture coordinate; and fusing the re-constructed face image of the target image with the material image to generate the fusion image.

Abstract: The invention discloses a method of face image fusion, which is can be used to fuse a face in a target image with a face in a material image, and the method comprises: calculating three-dimensional models of face in the material image and the target image as a first three-dimensional model and a second three-dimensional model respectively; calculating a first projection matrix and a second projection matrix by projecting the first three-dimensional model and the second three-dimensional model projecting onto a plane respectively; calculating a first texture coordinate according to the first three-dimensional model and the first projection matrix; calculating a second texture coordinate according to the second three-dimensional model and the second projection matrix; obtaining a re-constructed face image of the target image by replacing the first texture coordinate with the second texture coordinate; and fusing the re-constructed face image of the target image with the material image to generate the fusion ima