Abstract: According to an embodiment, an image display device includes: a display; a memory storing one or more instructions; and a processor executing the one or more instructions stored in the memory, wherein the processor executes the one or more instructions: to determine whether it is a recommended time for outputting advertisement content, from a user's log data, based on a first trained model using one or more neural networks; to determine a recommended attribute of an advertisement display region from the user's log data, based on a second trained model using the one or more neural networks, when it is determined that it is the recommended time for outputting the advertisement content; and to adjust an attribute of the advertisement display region based on the determined recommended attribute and control the display to output the advertisement content in the attribute-adjusted advertisement display region.

Abstract: A method and apparatus for providing a human-machine interface (HMI) mode of a vehicle are provided. The method, performed by the device of the vehicle, for providing a human-machine interface (HMI) mode includes, analyzing a state of an occupant, calculating a confidence score for the vehicle based on the state of the occupant, determining an HMI mode corresponding to the confidence score among a plurality of predefined HMI modes; and providing first guidance information to the occupant based on the determined HMI mode.

Abstract: A server and a control method thereof are provided. The server includes a communicator configured to communicate with an external apparatus; and a processor configured to: receive an image from the external apparatus via the communicator, process the received image by applying a plurality of image analysis models of which an analysis type for the image is different from each other, to the received image, and generate analysis result information about the image respectively corresponding to a plurality of analysis types according to the processing of the received image. With this, more various types of image analysis information may be provided with respect to one image. At least a portion of the analysis of the image, the processing and the generation may be carried out using at least one of a machine learning, a nerve network or a deep learning algorithm as a rule based or artificial intelligence algorithm.

Abstract: According to an embodiment, an image display device includes: a display; a memory storing one or more instructions; and a processor executing the one or more instructions stored in the memory, wherein the processor executes the one or more instructions: to determine whether it is a recommended time for outputting advertisement content, from a user's log data, based on a first trained model using one or more neural networks; to determine a recommended attribute of an advertisement display region from the user's log data, based on a second trained model using the one or more neural networks, when it is determined that it is the recommended time for outputting the advertisement content; and to adjust an attribute of the advertisement display region based on the determined recommended attribute and control the display to output the advertisement content in the attribute-adjusted advertisement display region.

Abstract: The disclosure relates to an electronic apparatus, a method of controlling the same, and a computer program product, the electronic apparatus including: a memory configured to store an instruction; and a processor configured to execute the instruction to: extract video features of frames from a plurality of frames of video content, extract text features from transcript information of the video content, identify importance scores of the frames based on the video features and the text features, and select a key frame of the video content among the plurality of frames based on the identified importance scores. Thus, it is possible to provide faithful information about content to a user through the video summary considering not only the video features but also the text features.

Abstract: According to an embodiment, an image display device includes: a display; a memory storing one or more instructions; and a processor executing the one or more instructions stored in the memory, wherein the processor executes the one or more instructions: to determine whether it is a recommended time for outputting advertisement content, from a user's log data, based on a first trained model using one or more neural networks; to determine a recommended attribute of an advertisement display region from the user's log data, based on a second trained model using the one or more neural networks, when it is determined that it is the recommended time for outputting the advertisement content; and to adjust an attribute of the advertisement display region based on the determined recommended attribute and control the display to output the advertisement content in the attribute-adjusted advertisement display region.

Abstract: According to an embodiment, an image display device includes: a display; a memory storing one or more instructions; and a processor executing the one or more instructions stored in the memory, wherein the processor executes the one or more instructions: to determine whether it is a recommended time for outputting advertisement content, from a user's log data, based on a first trained model using one or more neural networks; to determine a recommended attribute of an advertisement display region from the user's log data, based on a second trained model using the one or more neural networks, when it is determined that it is the recommended time for outputting the advertisement content; and to adjust an attribute of the advertisement display region based on the determined recommended attribute and control the display to output the advertisement content in the attribute-adjusted advertisement display region.

Abstract: An electronic device according to an embodiment of the present disclosure includes a display, a memory configured to store one or more instructions, and a processor configured to execute the one or more instructions stored in the memory to recognize one or more objects from an image, determine one or more recommended applications respectively corresponding to the one or more objects through a learning model using one or more neural networks, and display the determined one or more recommended applications on the display so that the determined one or more recommended applications operate.

Abstract: The disclosure relates to an electronic apparatus, a method of controlling the same, and a computer program product, the electronic apparatus including: a memory configured to store an instruction; and a processor configured to execute the instruction to: extract video features of frames from a plurality of frames of video content, extract text features from transcript information of the video content, identify importance scores of the frames based on the video features and the text features, and select a key frame of the video content among the plurality of frames based on the identified importance scores. Thus, it is possible to provide faithful information about content to a user through the video summary considering not only the video features but also the text features.

Abstract: A server and a control method thereof are provided. The server includes a communicator configured to communicate with an external apparatus; and a processor configured to: receive an image from the external apparatus via the communicator, process the received image by applying a plurality of image analysis models of which an analysis type for the image is different from each other, to the received image, and generate analysis result information about the image respectively corresponding to a plurality of analysis types according to the processing of the received image. With this, more various types of image analysis information may be provided with respect to one image. At least a portion of the analysis of the image, the processing and the generation may be carried out using at least one of a machine learning, a nerve network or a deep learning algorithm as a rule based or artificial intelligence algorithm.

Abstract: The present invention relates to a cosmetic composition for a leave-on type mask sheet including a fluorinated compound and saponin as a self-foaming agent. The cosmetic composition for a leave-on type mask sheet includes a fluorinated compound and saponin as a self-foaming agent, and thus can provide a cleansing effect, such as an effect of removing sebum or waste. In addition, since the cosmetic composition includes saponin instead of a chemical surfactant, it can reduce side effects, such as skin irritation, alleviate inconvenience of washing-off after using the mask sheet, and improve a moisturizing effect by virtue of elimination of the washing-off procedure.

Abstract: The present invention relates to a cosmetic composition containing volatile oil for skin care. The cosmetic composition contains volatile oil instead of a fluorine compound, and thus provides a cleansing effect, such as removing sebum and waste substances, and a skin care effect, such as sebum improvement or skin texture improvement, through bubbles by a self-foaming function. Furthermore, the cosmetic composition does not a fluorine compound, which is difficult to manage as a raw material for cosmetic products in the prior art, and thus is expected to further reduce environmental harmfulness.

Abstract: An image display apparatus for automatically determining an image in a video having a best picture of an object selected by a user.

Abstract: A method for providing a broadcast program and a broadcast receiving apparatus using the same are provided. The method for providing a broadcast program includes providing an electronic program guide (EPG); and receiving and providing an internet protocol (IP) TV broadcast program corresponding to a general TV broadcast program which is selected by a user using the EPG. Accordingly, a user searches for and selects a desired IP TV broadcast program more conveniently.

Abstract: Disclosed herein is a hybrid type sensor for detecting high frequency partial discharge which can detect high frequency partial discharge at a high signal-to-noise ratio without being influenced by power noise and surrounding noise, and guarantee the safety of a test when breakdown occurs. The sensor forms two or three signal paths with different impedances wherein a low frequency power signal is bypassed to ground through a first path, and a high frequency partial discharge current is allowed to flow through a second path and is detected as a resistance component through a resistor. Further, a surge voltage input to the sensor due to breakdown is input to the ground through a third path.

Abstract: Disclosed herein is a hybrid type sensor for detecting high frequency partial discharge. The hybrid type sensor of the present invention can detect high frequency partial discharge at a high signal-to-noise ratio without being influenced by power noise and surrounding noise, and guarantee the safety of a test when breakdown occurs. The sensor of the present invention forms two or three signal paths with different impedances. A low frequency power signal is bypassed to ground through a first path, and a high frequency partial discharge current is allowed to flow through a second path and is detected as a resistance component through a resistor. Further, a surge voltage input to the sensor due to breakdown is input to the ground through a third path. Therefore, the present invention can precisely and safely detect the amount of high frequency partial discharge.

Abstract: An automatic wet towel supplying device includes a cutting member for automatically supplying and cutting a dry cotton cloth, a spraying member for providing uniform dampening moisture to produce a wet towel, and a winding member for winding the wet towel in a rolled state while homogenizing the moisture content in the wet towel.