Abstract: Proposed is a precursor composition for forming a metal film including a zirconium compound represented by any one of Chemical Formulas 1 to 3 and a hafnium compound represented by any one of Chemical Formulas 4 to 6.

Abstract: A unit page buffer block includes first to fourth page buffer pairs. Each of the page buffer pairs includes a common column decoder block; and an upper page buffer stage and a lower page buffer stage electrically and commonly connected to the common column decoder block. Each of the upper page buffer stages includes an upper selection block; an upper latch block; and an upper cache block. Each of the lower page buffer stage includes a lower selection block; a lower latch block; and a lower cache block. Each of the upper selection blocks includes first to fourth sub-selection blocks. Each of the upper and lower latch blocks includes first to twelfth upper sub-latch blocks. Each of the upper and lower cache blocks includes first to twelfth upper sub-cache blocks. Each of the common column decoder block includes first to third sub-common column decoder blocks arranged in a row direction.

Abstract: Disclosed herein is a disinfection robot. The disinfection robot includes a body provided with an outlet, a fan provided inside the body, a fan motor configured to rotate the fan, a wheel provided under the body, a wheel motor configured to rotate the wheel, a three-dimensional camera having a forward field of view of the body and configured to capture a three-dimensional image, and a processor configured to control the fan motor to rotate the fan to discharge air through the outlet and control the wheel motor to rotate the wheel to move the body based on the three-dimensional image.

Abstract: Disclosed herein are an air cleaning and disinfection robot and a method of operating the same. The air cleaning and disinfection robot includes a driving unit configured to move autonomously in a target space, a plurality of air conditioning modules configured to manage air quality in the target space and detachably provided on the driving unit, a station on which the plurality of air conditioning modules are mounted, a docking unit configured to couple and separate the driving unit and each of the air conditioning modules to and from each other, and a detection unit configured to detect an operation environment of the target space, wherein the driving unit, based on information obtained by the detection unit, may selectively couple to and move with any one of the plurality of air conditioning modules.

Abstract: Disclosed herein is a disinfection robot. The disinfection robot includes a body provided with an outlet, a fan provided inside the body, a fan motor configured to rotate the fan, a wheel provided under the body, a wheel motor configured to rotate the wheel, and a processor including geographical map data corresponding to a disinfection space including a plurality of zones and air quality map data indicating air quality of the plurality of zones, and configured to control the fan motor to rotate the fan to discharge air through the outlet and control the wheel motor to rotate the wheel to move the body based on the geographical map data and the air quality map data.

Abstract: Provided are a data reduction method and a data processing device. The data processing device includes a memory configured to store target data expressed as a vector matrix and instructions for performing control over data reduction and a processor configured to determine low-rank matrices W1 and W2 from which a target parameter matrix W is constructable. The target parameter matrix W is constructed as the Hadamard product between the low-rank matrices W1 and W2.

Abstract: The present disclosure relates to a method and apparatus for training artificial intelligence based on an episodic memory. According to an embodiment of the present disclosure, a method for training artificial intelligence based on an episodic memory may include: constructing an episodic memory by using a feature vector of a training dataset stored in a full memory; obtaining output data by inputting query data into an artificial intelligence model; deriving a similarity between the output data and a feature vector in the constructed episodic memory; and deriving an episode loss function based on the similarity.

Abstract: Disclosed is an herbicidal composition containing: a pyrimidinedione-based compound as an active ingredient; and an efficacy enhancer. The herbicidal composition can increase biological effect expression characteristics of the pyrimidinedione-based composition as a contact herbicide, improve fast-acting property on monocot weeds as well as broadleaf weeds through enhanced spreading ability and penetrating power, and effectively control, at a low dose, even resistant weeds showing resistance to other herbicides. Furthermore, the herbicidal composition retains thermodynamic stability to increase storage stability, and can exhibit uniform and excellent efficacy at the time of chemical treatment through the uniform dispersion of the active ingredient.

Abstract: A system for controlling exposure of a multi-view camera is disclosed. The system includes a plurality of cameras having different views, a single image-based camera parameter calculator calculating single image-based camera parameters for each of the plurality of cameras; an image intensity ratio calculator calculating an image intensity ratio corresponding to an image intensity difference in an overlapped region between image data obtained from the plurality of cameras; and a multi-image-based camera parameter calculator calculating multi-image-based camera parameters for correcting intensity differences between images of the plurality of cameras on the basis of the single image-based camera parameters and the image intensity ratio.

Abstract: A system for controlling exposure of a multi-view camera is disclosed. The system includes a plurality of cameras having different views, a single image-based camera parameter calculator calculating single image-based camera parameters for each of the plurality of cameras; an image intensity ratio calculator calculating an image intensity ratio corresponding to an image intensity difference in an overlapped region between image data obtained from the plurality of cameras; and a multi-image-based camera parameter calculator calculating multi-image-based camera parameters for correcting intensity differences between images of the plurality of cameras on the basis of the single image-based camera parameters and the image intensity ratio.

Abstract: Described are various technologies that pertain to automatically generating looped videos or cinemagraphs by selecting objects to animate from an input video. In one implementation a group of semantically labeled objects from an input video is received. Candidate objects from the input video that can appear as a moving object in an output cinemagraph or looped video are identified. Candidate video loops are generated using the selected candidate objects. One or more of these candidate video loops are then selected to create a final cinemagraph. The selection of candidate video loops used to create the final cinemagraph can be made by a user or by a predictive model trained to evaluate the subjective attractiveness of the candidate video loops.

Abstract: A cinemagraph is generated that includes one or more video loops. A cinemagraph generator receives an input video, and semantically segments the frames to identify regions that correspond to semantic objects and the semantic object depicted in each identified region. Input time intervals are then computed for the pixels of the frames of the input video. An input time interval for a particular pixel includes a per-pixel loop period and a per-pixel start time of a loop at the particular pixel. In addition, the input time interval of a pixel is based, in part, on one or more semantic terms which keep pixels associated with the same semantic object in the same video loop. A cinemagraph is then created using the input time intervals computed for the pixels of the frames of the input video.

Abstract: Provided are a fire detecting apparatus and a method thereof for detecting a fire, the method includes operations of extracting a feature of at least one object in an input image by using a value of a brightness difference between pixels of the input image or by using an RGB value of the input image; converting the extracted feature of the at least one object into an N dimensional feature; and performing Support Vector Machine (SVM) machine learning on the N dimensional feature of the at least one object.

Abstract: A method and system for detecting motion are provided. The method includes: generating a time domain matrix including vectors corresponding to variation of pixel values as elements of the time domain matrix, of a video image including a plurality of frames; generating a motion matrix from which a low frequency area of the video image is removed by multiplying the time domain matrix by a low rank matrix; and generating a result image including a plurality of frames in which vectors, which are elements of the motion matrix, are included as variation of motion pixel values.

Abstract: Provided are a fire detecting apparatus and a method thereof for detecting a fire, the method includes operations of extracting a feature of at least one object in an input image by using a value of a brightness difference between pixels of the input image or by using an RGB value of the input image; converting the extracted feature of the at least one object into an N dimensional feature; and performing Support Vector Machine (SVM) machine learning on the N dimensional feature of the at least one object.

Abstract: A method and system for detecting motion are provided. The method includes: generating a time domain matrix including vectors corresponding to variation of pixel values as elements of the time domain matrix, of a video image including a plurality of frames; generating a motion matrix from which a low frequency area of the video image is removed by multiplying the time domain matrix by a low rank matrix; and generating a result image including a plurality of frames in which vectors, which are elements of the motion matrix, are included as variation of motion pixel values.

Abstract: Disclosed are uracil compounds represented by Formula 1, a method for preparing the compounds, and a herbicide including the same as an active ingredient: wherein R1, R2, R3, R4, R5, X, Y, Z and W are the same as defined in the detailed description.

Abstract: Disclosed are uracil compounds represented by Formula 1, a method for preparing the compounds, and a herbicide including the same as an active ingredient: wherein R1, R2, R3, R4, R5, X, Y, Z and W are the same as defined in the detailed description.