Abstract: A direct-lit panel light including a frame, a diffusion plate, a back plate and at least one light bar. The frame comprises a plurality of frame bars that are connected end-to-end, each frame bar having a first mounting surface and a second mounting surface; the diffusion plate is overlapped on the first mounting surface, the back plate is overlapped on the second mounting surface, and the center area of the back plate is fixed with the at least one light bar, and the edge area of the back plate is deformed and forms first convex ribs extending along peripheral sides of the back plate, and the first convex ribs abut against the diffusion plate and press it against the first mounting surface, and the first convex rib on each peripheral side of the back plate has a height gradually increasing from the middle thereof towards two ends thereof, respectively.

Abstract: A direct-lit panel light including a frame, a diffusion plate, a back plate and at least one light bar. The frame comprises a plurality of frame bars that are connected end-to-end, each frame bar having a first mounting surface and a second mounting surface; the diffusion plate is overlapped on the first mounting surface, the back plate is overlapped on the second mounting surface, and the center area of the back plate is fixed with the at least one light bar, and the edge area of the back plate is deformed and forms first convex ribs extending along peripheral sides of the back plate, and the first convex ribs abut against the diffusion plate and press it against the first mounting surface, and the first convex rib on each peripheral side of the back plate has a height gradually increasing from the middle thereof towards two ends thereof, respectively.

Abstract: The present disclosure provides a classification method and a classification device of an indoor scene. The classification method includes steps: receiving an input scene picture to be classified; obtaining a current local observation area from the scene picture to be classified according to a observation area positioning model; processing image information of the current local observation area to obtain a feature vector; obtaining a classification prediction result according to the feature vector; determining Whether the classification prediction result satisfies a predetermined scene picture classification condition; if not, obtaining a next local observation area from the scene picture to be classified and setting the next local observation area to be the current local observation area, then skipping to the step of processing the image information of the current local observation area; if yes, obtaining a classification label of the scene picture to be classified.

Abstract: The present disclosure provides a classification method and a classification device of an indoor scene. The classification method includes steps: receiving an input scene picture to be classified; obtaining a current local observation area from the scene picture to be classified according to a observation area positioning model; processing image information of the current local observation area to obtain a feature vector; obtaining a classification prediction result according to the feature vector; determining whether the classification prediction result satisfies a predetermined scene picture classification condition; if not, obtaining a next local observation area from the scene picture to be classified and setting the next local observation area to be the current local observation area, then skipping to the step of processing the image information of the current local observation area; if yes, obtaining a classification label of the scene picture to be classified.

Abstract: Welding wire for gas protective welding of reduced activation ferritic/martensitic steel and the manufacturing method, chemical components (weight percentage, wt %): C: 0.10˜0.15, Cr: 8.0˜9.0, W: 1.0˜1.6, V: 0.15˜0.25, Ta: 0.10˜0.17, Mn: 0.50˜0.70, Si: 0˜0.05, N: 0˜0.02, O, Ni, Cu, Al, and Co: 0˜0.01 respectively, P, S, Ag, Mo, and Nb: 0˜0.005 respectively, and balance of Fe. The welding wire has Cr equivalent weight of less than 11, Ni equivalent weight of greater than 3.5. It is manufactured with a wire rod through multi-pass drawing. The rod is subject to annealing heat treatment, tempering treatment performed between the passes of drawing. The annealing process is: the rod is at 940˜1020° C. for 20˜60 minutes, and the n cooled to below 650° C. at rate of less than 45° C./hour, air-cooled to room temperature. The tempering process is: the rod is at 760˜820° C. for 0.5˜2 hours. It reduces forming of ? ferrites in welded joints.

Abstract: This inventor provides a kind of recognition method and device, including the following stages: S1: get the first feature vector by putting the depth image of current best view of the object to be recognized to feature extractor; S2: get the output of pooling layer by putting the first feature vector to first hidden layer, then get the classification by putting the output of pooling layer to a hierarchical classifier; S3: generate the partial region of current view according to the output of pooling payer and view observation vector; S4: get the second feature vector by putting the partial region to second hidden layer, and the second feature vector includes the output of pooling layer and information of current view; S5: generate the next best view using a fully connected layer and the second feature vector; S6: repeat S1 to S5 until reach the leaf node of the hierarchical classifier. This inventor scans and recognizes the unknown scene, while solving the problem of next best view.

Abstract: This inventor provides a kind of recognition method and device, including the following stages: S1: get the first feature vector by putting the depth image of current best view of the object to be recognized to feature extractor; S2: get the output of pooling layer by putting the first feature vector to first hidden layer, then get the classification by putting the output of pooling layer to a hierarchical classifier; S3: generate the partial region of current view according to the output of pooling payer and view observation vector; S4: get the second feature vector by putting the partial region to second hidden layer, and the second feature vector includes the output of pooling layer and information of current view; S5: generate the next best view using a fully connected layer and the second feature vector; S6: repeat S1 to S5 until reach the leaf node of the hierarchical classifier. This inventor scans and recognizes the unknown scene, while solving the problem of next best view.

Abstract: Welding wire for gas protective welding of reduced activation ferritic/martensitic steel and the manufacturing method, chemical components (weight percentage, wt %): C: 0.1˜0.15, Cr: 8.0˜9.0, W: 1.0˜1.6, V: 0.15˜0.25, Ta: 0.10˜0.17, Mn: 0.50˜0.70, Si: 0˜0.05, N: 0˜0.02, O, Ni, Cu, Al, and Co: 0˜0.01 respectively, P, S, Ag, Mo, and Nb: 0˜0.005 respectively, and balance of Fe. The welding wire has Cr equivalent weight of less than 11, Ni equivalent weight of greater than 3.5. It is manufactured with a wire rod through multi-pass drawing. The rod is subject to annealing heat treatment, tempering treatment performed between the passes of drawing. The annealing process is: the rod is at 940˜1020° for 20˜60 minutes, and the n cooled to below 650° C. at rate of less than 45° C./hour, air-cooled to room temperature. The tempering process is: the rod is at 760˜820° for 0.5˜2 hours. It reduces forming of ? ferrites in welded joints.