Abstract: Provided is a 5G dual port beamforming antenna. The beamforming antenna according to an embodiment of the present disclosure includes a plurality of patch antennas, and the patch antenna includes: a first patch positioned on an upper portion; a second patch positioned on a left side under the first patch and having a plurality of feeding ports formed thereon; a third patch positioned on an upper portion of a right side of the second patch; and a fourth patch positioned on a lower portion of the right side of the second patch. Accordingly, 3D wide angle beamforming is possible in an antenna to be used in 5G mobile communication systems, military radar systems, etc.

Abstract: This application relates to an aluminum-based amorphous metal particles, a conductive Ink and OLED cathode including the aluminum-based amorphous metal particles, and a method of manufacturing the aluminum-based amorphous metal particles. In one aspect, the amorphous metal particles are represented by a formula AlxLiyNizYwCov. Here, x, y, z, w, and v denote an atomic ratio, and satisfy the following relationships: 75.0?x?90.0, 3.0<y?7.0, 1.0?z?7.0, 2.0?w?10.0, 0.0?v?5.5, and x+y+z+w+v=100.

Abstract: Disclosed herein are a method and apparatus for encoding/decoding a deep learning network. According to an embodiment, the method for decoding a deep learning network may include decoding network header information regarding the deep learning network; decoding layer header information regarding a plurality of layers in the deep learning network; decoding layer data information regarding specific information of the plurality of layers; and obtaining the deep learning network and a plurality of layers in the deep learning network, and the layer header information includes layer distinction information associated with distinguishing the plurality of layers.

Abstract: Disclosed herein are a method and apparatus for encoding/decoding a deep neural network. According to the present disclosure, the method for decoding a deep neural network may include: in a plurality of layers of the deep neural network, entropy decoding quantization information for a current layer; performing dequantization on the current layer; and obtaining a plurality of layers of the deep neural network. At least one of global quantization and local quantization is performed on the current layer.

Abstract: Provided is a method for monitoring 3D printing equipped with a 3D printing slicer and a recursive loop structure. A 3D printing method according to an embodiment of the present invention sets up a slicing environment for 3D printing of a 3D model, generates a mechanical code by performing slicing according to the setup environment, monitors the status of the 3D printing according to the generated mechanical code, and, depending on the monitoring result, determines whether or not to re-perform the setup and subsequent steps. Accordingly, by semi- or fully automating the 3D printing engineering process, the time and effort for engineering performance involving human participation are reduced, and the human resource is concentrated on a more important area, such that the effects of enhancing the 3D printing output quality and assuring the quality can be expected.

Abstract: Provided is a technology for implementing an AR optical waveguide display capable of showing a hologram image by means of a small and simple system configuration by using an HOE. A holographic display according to an embodiment of the present invention comprises: a light source module for emitting a beam; an optical waveguide through which the emitted beam is incident and propagated; a plurality of holographic optical elements (HOES) for propagating the beam incident to the optical waveguide inside the optical waveguide while totally reflecting the beam; and a modulator for reproducing a holographic image through the progressing beam and propagating the beam to the inside of the optical waveguide while totally reflecting the beam. Accordingly, it is possible to implement, as a small and simple system, an optical waveguide display showing an AR hologram by using an optical waveguide and an HOE.

Abstract: There are provided AI model learning method and system based on self-learning for focusing on specific areas. According to an embodiment, a network learning system includes: a detection module configured to detect a specific area from unlabeled images, and to generate unlabeled area images; a configuration module configured to configure self-learning data by using the generated area images; and a learning module to cause a backbone network to perform self-learning by using the configured self-learning data. Accordingly, an AI model may be trained based on self-learning for focusing on a desired specific area according to a desired purpose, and high-performance analysis specified for various purposes and characteristics of various types of specific areas is possible.

Abstract: This application relates to a mechanical button apparatus that includes a body where an upper portion thereof is closed and a lower portion thereof is opened and a bottom plate attached on a display screen of a display apparatus to cover the opened lower portion. The body includes an aperture member including a wing set expanded or contracted in a rotation direction of the body. The body also includes a photovoltaic (PV) cell array substrate including a PV cell configured to generate power for charging a battery and an optical sensor configured to convert light signals, reflected by the expanded or contracted wing set, into electrical signals. The body further includes a circuit substrate configured to operate with the power charged into the battery, calculate number of rotation manipulations of the body by using the electrical signals, and transmit the calculated number of rotation manipulations to the display apparatus.

Abstract: Provided is a slicing 2D data-based pattern application method for generating an output code in which the inside of a model is filled with a pattern, so as to reduce a binder usage amount and maintain a strength and a shape in sand binder jetting additive manufacturing. A slicing 2D data-based pattern application method according to an embodiment of the present invention comprises the steps of: generating 2D data by slicing an output model; generating an inner pattern in at least one of layers forming an output model in consideration of the set thickness of the layers and the outer thickness thereof and generating an output code by applying the generated inner pattern. Therefore, the cost of producing an additive manufacturing output can be reduced by reducing the binder usage amount through the application of the inner pattern.

Abstract: There are provided a method for segmenting a sign language video by gloss to recognize a sign language sentence, and a method for training. According to an embodiment, a sign language video segmentation method receives an input of a sign language sentence video, and segments the inputted sign language sentence video by gloss. Accordingly, there is suggested a method for segmenting a sign language sentence video by gloss, analyzing various gloss sequences from the linguistic perspective, understanding meanings robustly in spite of various changes in sentences, and translating sign language into appropriate Korean sentences.

Abstract: Provided is a nozzle clogging defect compensating method for compensating for a nozzle clogging defect appearing in a binder jetting stack manufacturing means. The nozzle clogging defect compensating method according to an embodiment of the present invention comprises the steps of: determining a defect occurrence region when a clogging defect of a nozzle used in the binder jetting stack manufacturing means occurs; determining whether compensation for the detect occurrence region is possible; when the compensation is possible, generating defect information and reflecting the defect information in an output code; setting a defect compensation region on the basis of the defect information; determining a defect compensation type of the defect compensation region; and reflecting a result of the determining in the output code.

Abstract: There are provided a method and a system for recognizing a finger language video in units of syllables based on AI. The finger language video recognition system includes: an extraction unit configured to extract posture information of a speaker from a finger language video; and a recognition unit configured to recognize a finger language of the speaker from the extracted posture information of the speaker in units of syllables, and to output a text. Accordingly, a language text in units of syllables may be generated from a finger language video, by using an AI-based syllable unit finger language recognition model.

Abstract: A semiconductor package includes a semiconductor chip including an electrode pad formed on the top surface thereof, a passive device embedded in the semiconductor package, the passive device having no functional electrode on the top surface thereof, a cover layer covering the semiconductor chip and the passive device, and at least one electrode pattern formed on the cover layer to transmit electrical signals. The cover layer includes at least one first opening formed to expose a region in which the functional electrode is to be formed. The electrode pattern includes a functional electrode portion formed in a region in which the functional electrode of the passive device is to be formed through the first opening. In the process of forming the electrode pattern, a functional electrode of the passive device is formed together therewith, thereby eliminating a separate step of manufacturing a functional electrode and thus reducing manufacturing costs.

Abstract: Proposed is a method of manufacturing a piezoelectric composite material. The method includes the steps: wet mixing the ceramic powder, the polymer binder, the plasticizer, and the solvent for 4 to 72 hours to produce the mixed slurry, in which the amount of the polymer binder in the mixed slurry is 3 to 10 parts by weight, the amount of the plasticizer is 0.1 to 3 parts by weight, and the amount of the solvent is 30 or more to less than 50 parts by weight, based on 100 parts by weight of the ceramic powder in the mixed slurry; introducing the mixed slurry into a tape casting process to produce a piezoelectric composite sheet; drying and molding the piezoelectric composite sheet in a roll-to-roll process to form a molded piezoelectric composite sheet; laminating and compressing piezoelectric composite sheets molded to produce piezoelectric composite sheet laminates; and cutting the piezoelectric composite sheet laminate into the desired shape and size.

Abstract: A method of manufacturing an all-solid-state battery electrode, an all-solid-state battery electrode manufactured by the method, and an all-solid-state battery including the electrode are disclosed. In the method, a specific type of binder included in the electrode is prepared in a fiber form by applying pressure to the binder under specific conditions, so that the fiber-form binder thus prepared has an average fineness that satisfies a specific range. Therefore, the all-solid-state battery including the electrode has an advantage of having high capacity even in the case of electrode thickening for high loading.

Abstract: This application relates to an absolute position detection device and detection method of a rotating body. In one aspect, the device includes first row magnets coupled to a rotating body to rotate together and having n pole pairs, and second row magnets coupled to the rotating body to rotate together and having (n+1) pole pairs. The device also includes a first Hall sensor installed adjacent to the first row magnets and configured to detect a change in magnetism according to rotation of the first row magnets. The device further includes a second Hall sensor installed adjacent to the second row magnets and configured to detect a change in magnetism according to rotation of the second row magnets. The device further includes a controller configured to measure an absolute position of the rotating body using signals output from the first and second Hall sensors.

Abstract: Provided are a system and a method for predicting an occupancy time of a user in a city building based on big data for auto control of heating or cooling for energy saving. The user occupancy time prediction system according to an embodiment includes: a sensor configured to collect data regarding whether a user occupies a predetermined space in a building; a database configured to store the collected data; a data pre-processing unit configured to process the stored data into a format suitable for machine learning; and a prediction unit configured to input the processed data into a machine learning model, and to predict an expected unoccupancy time of the user regarding the predetermined space in the building. Accordingly, a user occupancy/unoccupancy time may be predicted by analyzing big data which uses previous occupancy data of a user in a city building, and energy may be saved by adjusting a temperature of a heating or cooling device before the unoccupancy time.

Abstract: Provided is a hologram printing method and apparatus using a hologram medium light efficiency map. A hologram printing method according to an embodiment emits a laser to a hologram medium, acquires an image by photographing light diffracted from the hologram medium, generates a light efficiency map of the hologram medium from the acquired image, and records hogels on the hologram medium by referring to the generated light efficiency maps of the hologram medium. Accordingly, light efficiency is measured on each hogel area, and hologram printing is performed by adjusting an intensity of a laser of each wavelength according to a hogel, so that uniformity of luminance and color of a hologram printing result can be enhanced.

Abstract: Disclosed is a method of providing a sign language video reflecting an appearance of a conversation partner. The method includes recognizing a speech language sentence from speech information, and recognizing an appearance image and a background image from video information. The method further comprises acquiring multiple pieces of word-joint information corresponding to the speech language sentence from joint information database, sequentially inputting the word-joint information to a deep learning neural network to generate sentence-joint information, generating a motion model on the basis of the sentence-joint information, and generating a sign language video in which the background image and the appearance image are synthesized with the motion model. The method provides a natural communication environment between a sign language user and a speech language user.

Abstract: An example terminal includes a communication circuitry configured to communicate with a server; and a data processor configured to request the server to include a second user in a relationship group of a first user and to extend, to the relationship group, a range of authorization for an Internet of Things (IoT) apparatus registered as an apparatus of the first user.