Abstract: Disclosed herein is a method for generating a texture map of a 3D mesh includes encoding a texture map of a 3D mesh, quantizing the encoded texture map, decoding the quantized texture map, performing rendering using the decoded texture map, and updating the texture map of the 3D mesh based on the value of a loss function.

Abstract: The present invention relates to a decoding method for a bit stream that supports a plurality of layers. The decoding method may include receiving information on a set of video parameters that includes information on the plurality of layers, and parsing the set of video parameters to grasp information on the layers in the bit stream.

Abstract: Disclosed is a case for a battery module including a body having an internal space; and an end plate disposed on an end of the body, wherein the body includes a bottom plate on which a coolant flow path through which a coolant flows is formed, and wherein the end plate includes a coolant flow tube through which the coolant flows and a connection portion extending from the coolant flow tube and coupled to the coolant flow path.

Abstract: Disclosed is an apparatus and method for processing a multichannel audio signal. A multichannel audio signal processing method may include: generating an N-channel audio signal of N channels by down-mixing an M-channel audio signal of M channels; and generating a stereo audio signal by performing binaural rendering of the N-channel audio signal.

Abstract: The present invention relates to an image information decoding method. The decoding method includes receiving a bit stream including a Network Abstraction Layer (NAL) unit that includes information related to encoded image, and parsing a NAL unit header of the NAL unit. The NAL unit header may not include 1 bit flag information that represents whether a picture is a non-reference picture or a reference picture in the entire bit stream during encoding.

Abstract: Disclosed is a smart factory platform for processing data obtained in a continuous process including a first process and a second process following the first process. The smart factory platform includes a distributed parallel processing system including at least one processing unit that generates mapping data by mapping a process identification (ID) to collection data collected from the continuous process and sorts the mapping data to generate sorting data, the process ID defining a process where the collection data occurs and the sorting data being generated for association processing between pieces of collection data collected from different processes; and a big data analysis system storing the sorting data with respect to the process ID.

Abstract: Disclosed is a smart factory platform for processing data obtained in a continuous process including a first process and a second process following the first process. The smart factory platform includes a distributed parallel processing system including at least one processing unit that generates mapping data by mapping a process identification (ID) to collection data collected from the continuous process and sorts the mapping data to generate sorting data, the process ID defining a process where the collection data occurs and the sorting data being generated for association processing between pieces of collection data collected from different processes; and a big data analysis system storing the sorting data with respect to the process ID.