Abstract: Aspects of the present disclosure are directed to a display device having a repairable touch line. In one aspect, a display device includes a display panel including a plurality of touch blocks each having a touch electrode; a dummy region at one side of the display panel; a plurality of touch lines connected to the plurality of touch blocks and configured to apply a touch signal to the plurality of touch blocks; a repair line in the dummy region; and a dummy pattern in the dummy region.

Abstract: Provided are a food-information inputting method and apparatus. The food-information inputting method may include operating in a photographing mode where an input guide and an input button moved along the input guide are displayed on a photographing screen; and receiving at least one piece of food information using the input guide and the input button, while operating in the photographing mode.

Abstract: The present invention relates to a meal service management system and an operating method therefor, the system being capable of providing information on food ingested by a user to whom a meal service is to be provided and customized information related thereto, and managing food leftover in a meal service. According to an embodiment of the present invention, a scanner device is used such that a user to whom a meal service is to be provided and a food tray before and after meals are identified, and thus a meal service amount and a leftovers food amount are acquired, and leftovers food information of each user and useful information associated therewith are provided on the basis of the same, and thus users can easily determine their eating habits, nutritional status and the like and the users can be induced to attempt reducing leftovers food by themselves.

Abstract: The present invention relates to a meal service management system and an operating method therefor, the system being capable of providing information on food ingested by a user to whom a meal service is to be provided and customized information related thereto, and managing food leftover in a meal service. According to an embodiment of the present invention, a scanner device is used such that a user to whom a meal service is to be provided and a food tray before and after meals are identified, and thus a meal service amount and a leftovers food amount are acquired, and leftovers food information of each user and useful information associated therewith are provided on the basis of the same, and thus users can easily determine their eating habits, nutritional status and the like and the users can be induced to attempt reducing leftovers food by themselves.

Abstract: The present invention relates to a meal monitoring method and apparatus. The meal monitoring method according to an embodiment of the present invention comprises the steps of: generating food information by analyzing a pre-stored menu; obtaining an image including a food tray on the basis of at least one photographing apparatus; classifying at least one dish included in the captured image on the basis of the generated food information; and generating and storing meal information on the basis of the classified at least one dish, wherein the generating of the food information may comprise: extracting a food list from the pre-stored menu; sub-dividing the extracted food list on the basis of a pre-stored classification table; and generating the sub-divided food list as the food information.

Abstract: Provided are a method and an apparatus for identifying food using a multimodal model. A method for identifying food using a multimodal model according to one embodiment of the present disclosure comprises setting a plurality of food images belonging to different classes as pre-learning targets; pre-learning a multimodal model for each of the plurality of food images set as the pre-learning target so that a text feature paired with an image feature is more similar to the image feature than the other text features not paired with the image feature; and identifying food to be identified from input food images using the pre-learned multimodal model.

Abstract: Aspects of the present disclosure are directed to a display device having a repairable touch line. In one aspect, a display device includes a display panel including a plurality of touch blocks each having a touch electrode; a dummy region at one side of the display panel; a plurality of touch lines connected to the plurality of touch blocks and configured to apply a touch signal to the plurality of touch blocks; a repair line in the dummy region; and a dummy pattern in the dummy region.

Abstract: Disclosed is a method and apparatus for mobile healthcare service using diet management. The mobile healthcare service includes: when any food is detected on a photoshoot screen upon execution of a camera by a user, displaying a detected food area; when the user captures a photo of the photoshoot screen displaying the food area, cropping the food area from the captured photo; when a consumed food is selected by the user in the cropped food area, recording the selected consumed food as dietary data; and providing a mobile healthcare service using diet management by comparing the dietary data with a preset diet management goal.

Abstract: The present disclosure includes cationic carrier units comprising (i) a water soluble polymer, (ii) a positively charged carrier, and (iii) an adjuvant moiety, wherein when the cationic carrier unit is mixed with an anionic payload (e.g., an antisense oligonucleotide) that electrostatically interacts with the cationic carrier unit, the resulting composition self-organizes into a micelle encapsulating the anionic payload in its core. The cationic carrier units can also comprise a tissue specific targeting moiety, which would be displayed on the surface of the micelle. The disclosure also includes micelles comprising the cationic carrier units of the disclosure, methods of manufacture of cationic carrier units and micelles, pharmaceutical compositions comprising the micelles, and also methods of treating diseases or conditions comprising administering the micelles to a subject in need thereof.

Abstract: An image sensor includes a first substrate having a photoelectric conversion element. A first gate electrode is on a first side of the first substrate. A floating diffusion region is in the first substrate. A first wiring structure is on the first side and includes a first wiring layer and a first bonding pad. A second substrate has a third side that includes second and third gate electrodes. An impurity region is in the second substrate. A second wiring structure is on the third side and includes a second wiring layer and a second bonding pad directly contacting the first bonding pad. A fourth gate electrode is on a fourth side of the second substrate. A third wiring structure is on the fourth side and includes a third wiring layer. The floating diffusion region is connected to the impurity region through the first wiring structure and the second wiring structure.

Abstract: Provided are a method and an apparatus for auto segmentation using a bounding box. A method for auto segmentation using a bounding box according to one embodiment of the present disclosure comprises receiving a first object image including an object labeled with a bounding box, which is a pre-learning target, learning a segmentation model by classifying an object and a background from the bounding box of the received first object image, and segmenting an object from a second object image, which is an identification target, using the learned segmentation model.

Abstract: Provided are a method and an apparatus for measuring an object quantity using a 2D image. A method for measuring an object quantity using a 2D image according to one embodiment of the present disclosure comprises learning an object region model in a first object image which is a pre-learning target, learning an object quantity model for a first object region in the first object image using a feature map extracted from the first object image, and measuring an object quantity of at least one of a second object region and a background region in a second object image which is a measurement target using the learned object region model and object quantity model.

Abstract: Provided are a method and an apparatus for operating a learning model. A method for operating a learning model according to one embodiment of the present disclosure comprises selecting at least one training data between previous training data and new training data and learning a previous learning model anew using the at least one selected training data.

Abstract: Provided are a method and an apparatus for analyzing food using image captioning. A method for analyzing food using image captioning according to one embodiment of the present disclosure comprises generating image captioning data using food image features extracted from a food image; and generating a food name for the food image using the generated image captioning data.

Abstract: The present disclosure includes cationic carrier units comprising (i) a water-soluble polymer, (ii) a positively charged carrier, (iii) a hydrophobic moiety, and (iv) a crosslinking moiety, wherein when the cationic carrier unit is mixed with an anionic payload (e.g., an antisense oligonucleotide) that electrostatically interacts with the cationic carrier unit, the resulting composition self-organizes into a micelle encapsulating the anionic payload in its core. The cationic carrier units can also comprise a tissue specific targeting moiety, which would be displayed on the surface of the micelle. The disclosure also includes micelles comprising the cationic carrier units of the disclosure, methods of manufacture of cationic carrier units and micelles, pharmaceutical compositions comprising the micelles, and also methods of treating diseases or conditions comprising administering the micelles to a subject in need thereof.

Abstract: Provided are a method and an apparatus for identifying food using a multimodal model. A method for identifying food using a multimodal model according to one embodiment of the present disclosure comprises setting a plurality of food images belonging to different classes as pre-learning targets; pre-learning a multimodal model for each of the plurality of food images set as the pre-learning target so that a text feature paired with an image feature is more similar to the image feature than the other text features not paired with the image feature; and identifying food to be identified from input food images using the pre-learned multimodal model.

Abstract: The present invention relates to a server for measuring a waste discharge amount and managing waste collection, the server calculating, on the basis of image data of a waste collection box captured by a sensor, the volume of waste discharged to the waste collection box, using the calculated volume to update the volume of waste accumulated in the waste collection box, and recording that the waste in the waste collection box has been collected by a waste collection company if a collection signal of the waste collection box is received from a terminal of the waste collection company, and thus the waste of all affiliated companies can be continuously tracked and monitored.

Abstract: The present disclosure includes cationic carrier units comprising (i) a water soluble polymer, (ii) a positively charged carrier, (iii) a hydrophobic moiety, and (iv) a crosslinking moeity, wherein when the cationic carrier unit is mixed with an anionic payload (e.g., an RNA and/or DNA) that electrostatically interacts with the cationic carrier unit, the resulting composition self-organizes into a micelle encapsulating the anionic payload in its core. The cationic carrier units can also comprise a tissue specific targeting moiety, which would be displayed on the surface of the micelle. The disclosure also includes micelles comprising the cationic carrier units of the disclosure, methods of manufacture of cationic carrier units and micelles, pharmaceutical compositions comprising the micelles, and also methods of treating diseases or conditions comprising administering the micelles to a subject in need thereof.

Abstract: An image sensor includes a plurality of unit pixels, each including: a substrate including first and second sides which are opposite to each other, a photoelectric conversion layer in the substrate, and a wiring structure on the first side of the substrate. The wiring structure may include: a first capacitor, a second capacitor spaced from the first capacitor, a plurality of edge vias arranged along edges of the unit pixel, and a plurality of central vias interposed between the first capacitor and the second capacitor.

Abstract: An image sensor includes a plurality of unit pixels, each including: a substrate including first and second sides which are opposite to each other, a photoelectric conversion layer in the substrate, and a wiring structure on the first side of the substrate. The wiring structure may include: a first capacitor, a second capacitor spaced from the first capacitor, a plurality of edge vias arranged along edges of the unit pixel, and a plurality of central vias interposed between the first capacitor and the second capacitor.