Abstract: The present invention discloses a method of preparing an alkali activation material by using red mud-based wet grinding and carbon sequestration and an application thereof. The preparation method includes: (1) adding water, red mud, a crystalline control agent, and a grinding aid into a wet grinding carbon sequestration apparatus to perform wet grinding, and simultaneously introducing CO2 until a slurry pH reaches 7 to 7.5; and removing wet grinding balls by a sieve to obtain a slurry A; (2) adding carbide slag, water and a water reducer to a wet planetary ball grinder tank for wet grinding, and removing wet grinding balls by a sieve to obtain a slurry B; (3) taking 50 to 80 parts of the slurry A and 20 to 50 parts of the slurry B and mixing them to obtain an alkali activation material.

Abstract: A method for preparing a cementing material by sintering and activating coal gangue is provided. The method includes the following steps: (1) crushing coarse-grained coal gangue to predetermined particle size; (2) fully and evenly mixing the crushed coal gangue, the composite additive and water according to a set proportion, and granulating the obtained mixture; (3) distributing, igniting and exhausting the granulated pellets in the sintering machine to obtain decarburized coal gangue sinter; (4) cooling the decarburized coal gangue sinter in a cooler; (5) crushing and finely grinding the cooled coal gangue sinter to obtain a coal gangue active mixture; and (6) mixing the coal gangue active admixture, the fly ash, the quicklime and the gypsum according to a predetermined ratio, and then carrying out injection moulding, mold removal and curing to obtain the coal gangue-based cementitious material.

Abstract: A method includes obtaining a reference image and a target image each representing an environment containing moving features and static features. The method also includes determining an object mask configured to mask out the moving features and preserves the static features in the target image. The method additionally includes determining, based on motion parallax between the reference image and the target image, a static depth image representing depth values of the static features in the target image. The method further includes generating, by way of a machine learning model, a dynamic depth image representing depth values of both the static features and the moving features in the target image. The model is trained to generate the dynamic depth image by determining depth values of at least the moving features based on the target image, the object mask, and the static depth image.

Abstract: A method includes obtaining a reference image and a target image each representing an environment containing moving features and static features. The method also includes determining an object mask configured to mask out the moving features and preserves the static features in the target image. The method additionally includes determining, based on motion parallax between the reference image and the target image, a static depth image representing depth values of the static features in the target image. The method further includes generating, by way of a machine learning model, a dynamic depth image representing depth values of both the static features and the moving features in the target image. The model is trained to generate the dynamic depth image by determining depth values of at least the moving features based on the target image, the object mask, and the static depth image.

Abstract: Embodiments of the technology described herein, provide a view and time synthesis of dynamic scenes captured by a camera. The technology described herein represents a dynamic scene as a continuous function of both space and time. The technology may parameterize this function with a deep neural network (a multi-layer perceptron (MLP)), and perform rendering using volume tracing. At a very high level, a dynamic scene depicted in the video may be used to train the MLP. Once trained, the MLP is able to synthesize a view of the scene at a time and/or camera pose not found in the video through prediction. As used herein, a dynamic scene comprises one or more moving objects.

Abstract: A method includes obtaining a reference image and a target image each representing an environment containing moving features and static features. The method also includes determining an object mask configured to mask out the moving features and preserves the static features in the target image. The method additionally includes determining, based on motion parallax between the reference image and the target image, a static depth image representing depth values of the static features in the target image. The method further includes generating, by way of a machine learning model, a dynamic depth image representing depth values of both the static features and the moving features in the target image. The model is trained to generate the dynamic depth image by determining depth values of at least the moving features based on the target image, the object mask, and the static depth image.

Abstract: A method includes obtaining a reference image and a target image each representing an environment containing moving features and static features. The method also includes determining an object mask configured to mask out the moving features and preserves the static features in the target image. The method additionally includes determining, based on motion parallax between the reference image and the target image, a static depth image representing depth values of the static features in the target image. The method further includes generating, by way of a machine learning model, a dynamic depth image representing depth values of both the static features and the moving features in the target image. The model is trained to generate the dynamic depth image by determining depth values of at least the moving features based on the target image, the object mask, and the static depth image.

Abstract: A method includes obtaining a reference image and a target image each representing an environment containing moving features and static features. The method also includes determining an object mask configured to mask out the moving features and preserves the static features in the target image. The method additionally includes determining, based on motion parallax between the reference image and the target image, a static depth image representing depth values of the static features in the target image. The method further includes generating, by way of a machine learning model, a dynamic depth image representing depth values of both the static features and the moving features in the target image. The model is trained to generate the dynamic depth image by determining depth values of at least the moving features based on the target image, the object mask, and the static depth image.

Abstract: A method for generating improved image mosaics includes using a set of overlapping images of a landscape to determine three-dimensional locations for a plurality of features of the landscape. Based on the three-dimensional locations of the plurality of features, a three-dimensional plane of interest is determined. The overlapping images are warped onto the plane of interest to form a mosaic of images.

Abstract: A pulverized coal gasification furnace with multi-level feeding of high speed circulating gasification agent which includes a pulverized coal gasification furnace and a gasification method. The present invention solves the existing problems in short life of burner, uneven slag deposition on the surface of the gasification device which causes burning and corrosion, and uneven temperature distribution along the height direction. The steps are: 1. setting parameters for the gasification chamber; 2. feeding pulverized coal; 3. burning pulverized coal to form molten slag; 4. gasification process of molten slag inside the gasification furnace; 5. removing slag. In the present invention, the furnace body is divided into different levels for the gasification agent, the internal temperature of the furnace along the height direction is evenly distributed, and the furnace is applicable to the coal types which has severe change in ash viscosity in response to temperature changes.

Abstract: A method for generating improved image mosaics includes using a set of overlapping images of a landscape to determine three-dimensional locations for a plurality of features of the landscape. Based on the three-dimensional locations of the plurality of features, a three-dimensional plane of interest is determined. The overlapping images are warped onto the plane of interest to form a mosaic of images.

Abstract: A pulverized coal gasification furnace with multi-level feeding of high speed circulating gasification agent which includes a pulverized coal gasification furnace and a gasification method. The present invention solves the existing problems in short life of burner, uneven slag deposition on the surface of the gasification device which causes burning and corrosion, and uneven temperature distribution along the height direction. The steps are: 1. setting parameters for the gasification chamber; 2. feeding pulverized coal; 3. burning pulverized coal to form molten slag; 4. gasification process of molten slag inside the gasification furnace; 5. removing slag. In the present invention, the furnace body is divided into different levels for the gasification agent, the internal temperature of the furnace along the height direction is evenly distributed, and the furnace is applicable to the coal types which has severe change in ash viscosity in response to temperature changes.

Abstract: A burner includes a primary air-coal mixture duct coaxially extended through a secondary air wind box, a pulverized coal separator supported within the primary air-coal mixture duct, a secondary air duct including an inner secondary air duct and an outer secondary air duct coaxially formed around the primary air-coal mixture duct, a primary air-coal mixture conical outlet coupled with the outlet of the primary air-coal mixture duct, and inner secondary air and outer conical outlets coupled with the outlets of the inner secondary air and outer secondary air ducts respectively. The conical outlets are arranged to delay the mixing time of the primary air-coal mixture and secondary air flows through the primary air-coal mixture and secondary air ducts and to prolong the residence time in the center recirculation zone under the reduction ability so as to effectively reduce the formation of NOx.

Abstract: A method for a flame boiler with multi-stage combustion with multi-ejection, includes the steps of ejecting inner and outer secondary air flows with speed of 35-65 m/s to guide a fuel-rich pulverized coal flow with speed of 10-20 m/s into a lower chamber to provide first and second combustion stages, ejecting lower secondary air flows with speed of 35-65 m/s into the lower chamber to further guide the pulverized coal so as to provide a third combustion stage. The system includes a lower chamber, an upper chamber, a combustion chamber, fuel-rich pulverized coal flow nozzles, fuel-lean pulverized coal flow nozzles respectively provided at the front and rear boiler arches, and lower secondary air nozzles provided at the front and rear water cooled walls. The combustion of the pulverized coal flow with W-shaped flowing path within the boiler is adapted to reduce NOx emission and minimize the content of combustible substance in ash.