Abstract: The present invention relates to a wearable pressure ulcer detection sensor, and the wearable pressure ulcer detection sensor according to the present invention includes a pressure sensor measuring pressure based on a change in capacitance caused by physical force, a temperature sensor measuring temperature based on a change in electrical conductivity due to electron hopping, and an impedance sensor including two electrodes spaced apart from each other and in contact with skin.

Abstract: A light emitting element includes a first semiconductor layer, an active layer disposed on the first semiconductor layer, a second semiconductor layer disposed on the active layer, and an insulating layer enclosing the first semiconductor layer, the active layer, and at least a portion of the second semiconductor layer. The first semiconductor layer, the active layer, and the second semiconductor layer are successively disposed in a first direction. The active layer includes a first barrier layer, a second barrier layer, and a first well layer disposed between the first barrier layer and the second barrier layer, and including a non-uniform indium composition ratio in a first direction and a second direction intersecting the first direction, and including a non-uniform indium density in a third direction intersecting the first direction and the second direction.

Abstract: A quantum dot includes a core including InP, a first shell around (e.g., surrounding) the core and including ZnTeSe, a second shell around (e.g., surrounding) the first shell and including ZnSe, and a third shell around (e.g., surrounding) the second shell and including ZnS, wherein the ratio of the number of moles of the Te in the first shell to the number of moles of the P in the core is about 0.02 to about 0.90.

Abstract: A display device includes a pixel component including first pixels which emits light having a first color, and second pixels which emits light having a second color different from the first color, a sensing component which extracts, during a sensing period, first sensing data from the first pixels, and second sensing data from the second pixels, and a temperature determiner which senses a temperature of the pixel component using the first sensing data and the second sensing data. The temperature determiner senses, when the first sensing data is supplied to the temperature determiner, the temperature of the pixel component at least one time.

Abstract: The present disclosure discloses beamforming methods and apparatuses. According to an exemplary embodiment of the present disclosure, an antenna message generation deep neural network (DNN) and a beam characteristic generation DNN of a bipartite graph neural network (BGNN) having terminals as vertices on one side and APs as vertices on another side may be constructed.

Abstract: The present specification relates to a conductive structure body, a method for manufacturing the same, and an electrode and an electronic device including the conductive structure body.

Abstract: Disclosed herein are a method, an apparatus and a storage medium for encoding/decoding using a transform-based feature map. An optimal basis vector is extracted from one or more feature maps, and a transform coefficient is acquired through a transform using the basis vector. The basis vector and the transform coefficient may be transmitted through a bitstream. In an embodiment, one or more feature maps are reconstructed using the basis vector and the transform coefficient, which are decoded from the bitstream.

Abstract: A semiconductor device is disclosed. The semiconductor device includes a transceiver including an amplifier region configured to output a data signal to a source line connected to a pixel during a first period and receive a detection signal from a touch electrode during a second period different from the first period, and configured to generate the data signal based on input data; and a driving controller configured to generate the data based on input image data, outputting the data to the transceiver, and generate a touch signal based on the detection signal.

Abstract: Disclosed is an apparatus for assisting the reading of a medical image based on a medical artificial neural network, the apparatus including a computing system. An apparatus according to an embodiment of the present invention includes a computing system, and the computing system includes at least one processor. The at least one processor acquires or receives a first analysis result obtained through the inference of a first artificial neural network for a first medical image, generates a first visualization format, which is a representative visualization format of the first medical image, based on the first analysis result, and visualizes the first medical image and the first analysis result based on the first visualization format.