Abstract: Disclosed are an apparatus and system for evaluating a welding condition on the basis of three-dimensional data. An aspect of the present embodiment provides an apparatus for evaluating a welding condition, the apparatus including a communication unit configured to receive a three-dimensional image for an evaluation target from the outside, a base material recognition unit configured to recognize a base material from the three-dimensional image for the evaluation target by using a point cloud, a bead extraction unit configured to extract a welding bead welded between the base materials, a bead cross-section acquisition unit configured to acquire cross-sections at preset intervals for the extracted welding bead, and a profile analysis unit configured to analyze a profile of the welding bead for the cross-section acquired by the bead cross-section acquisition unit.

Abstract: Disclosed are a method for inducing a prediction motion vector and an apparatus using the same. An image decoding method can include: a step of determining the information related to a plurality of spatial candidate prediction motion vectors from peripheral predicted blocks of a predicted target block; and a step of determining the information related to temporal candidate prediction motion vectors on the basis of the information related to the plurality of spatial candidate prediction motion vectors. Accordingly, the present invention can reduce complexity and can enhance coding efficiency when inducing the optimum prediction motion vector.

Abstract: According to an embodiment, a system comprises a communication module providing a communication interface, a camouflage pattern evaluation module performing an artificial intelligence-based camouflage pattern evaluation algorithm on an operation environment image and a camouflage pattern image, analyzing a similarity between the operation environment image and the camouflage pattern image, and obtaining an evaluation result of camouflage performance for the camouflage pattern in the operation environment, and a processor deriving a quantitative camouflage performance value for the evaluation result. The artificial intelligence-based camouflage performance evaluation algorithm extracts feature information for the operation environment image and the camouflage pattern image and analyzes the similarity in color, pattern, or structure between the operation environment image and the camouflage pattern image based on the extracted feature information.

Abstract: There are provided a fluorine-containing photocurable resin composition and a method of preparing a mold comprising the same and more particularly, a photocurable resin composition having chemical resistance, mechanical properties and high transmittance, etc. as well as being easily wetted with and released from thermosetting or photocurable resins for pattern formation regardless of additional surface treatment, as opposed to the existing polymer resin materials used for resin molds, and a method of preparing a resin mold using the same.

Abstract: There are provided a fluorine-containing photocurable resin composition and a method of preparing a mold comprising the same and more particularly, a photocurable resin composition having chemical resistance, mechanical properties and high transmittance, etc. as well as being easily wetted with and released from thermosetting or photocurable resins for pattern formation regardless of additional surface treatment, as opposed to the existing polymer resin materials used for resin molds, and a method of preparing a resin mold using the same.