Abstract: Disclosed are a method and apparatus for improving the accuracy of intra-prediction in order to improve encoding and decoding efficiency. The video decoding method may improve the prediction efficiency for the current pixel to be predicted by referring to the degree of variation in surrounding pixels, to thereby effectively decode the bit stream with improved encoding efficiency. In addition, an additional prediction candidate is used to achieve improved accuracy of intra-prediction, and the thus-improved accuracy of intra-prediction may reduce residual components and improve encoding efficiency. Further, an improved planar mode is utilized to achieve improved intra-prediction.

Abstract: A method for manufacturing a grain-oriented electrical steel sheet according to an embodiment of the present invention comprises: a step for hot-rolling a slab to produce a hot-rolled sheet; a step for cold-rolling the hot-rolled sheet to produce a cold-rolled sheet; a step for subjecting the cold-rolled sheet to primary recrystallization annealing; and a step for subjecting the primary recrystallization annealing-completed cold-rolled sheet to secondary recrystallization annealing, wherein the primary recrystallization annealing step includes a preceding step and a subsequent step, and the amount (A) of nitriding gas introduced in the preceding step with respect to the total amount (B) of nitriding gas introduced in the primary recrystallization annealing step satisfies expression 1 below. 0.05?[A]/[B]?[t]??[Expression 1] (In expression 1, the amount of nitriding gas introduced is in units of Nm3/hr, and [t] represents the thickness (mm) of a cold-rolled sheet.

Abstract: A grain-oriented electrical steel sheet according to an embodiment of the present invention includes: in wt %, Si at 1.0 to 7.0%, Mn at 0.5% or less (excluding 0%), Al at 0.005% or less (excluding 0%), S at 0.0055% or less (excluding 0%), one or more of Ba and Y at 0.005 to 0.5%, one or more of Sn at 0.02 to 0.15%, Sb at 0.01 to 0.08%, and Ni at 0.02 to 0.5%, and the balance of Fe and inevitable impurities.

Abstract: Disclosed is a preference-based service providing method for operating preference-based service providing system and device by executing an artificial intelligence (AI) algorithm and/or a machine learning algorithm in a 5G environment connected for the Internet of things. A preference-based service providing method according to an embodiment of the present disclosure may include acquiring user video information obtained by imaging a user who is using an electronic device, analyzing a preference of the user for a service provided by the electronic device on the basis of the user video information including a face image and a posture image of the user, setting a priority of the service provided by the electronic device on the basis of the preference of the user, and providing a recommendation list of services provided by the electronic device on the basis of priorities of the services.

Abstract: A polymer foam adhesive tape including: a substrate film; a polymer foam layer provided on one surface of the substrate film; a first adhesive layer provided on the polymer foam layer; and a second adhesive layer provided on the other surface of the substrate film, in which the polymer foam adhesive tape has a minimum compression load of 30 g to 300 g, a compression rate of the polymer foam adhesive tape is increased in proportion to a linear function according to an increase in pressure when pressure, which is equal to or more than the minimum compression load, is applied, and a thickness recovery rate of the polymer foam adhesive tape after pressure is removed is increased in proportion to a linear function as time passes.

Abstract: A method of measuring adhesive strength includes setting an evaluation time (te), fixing a substrate and an adhesive member to a measurement device, pulling the adhesive member fixed to the measurement device with a first measurement force (Fe1) for the evaluation time (te), pulling the adhesive member fixed to the measurement device is pulled with a second measurement force (Fe2), which is obtained by increasing the first measurement force (Fe1) by a preset amount, for the evaluation time (te), and determining a reference measurement force (Fes) which is a static force applied to the adhesive member when a distance by which a first portion of the adhesive member is detached from the substrate is equal to a preset distance (dt) is determined.

Abstract: Methods and systems for test deployment of computational code on virtual servers are disclosed. In one embodiment, an exemplary method comprises receiving test computational code programmed to provide resources; selecting a test virtual server from a plurality of virtual servers; uploading the test computational code to the test virtual server; initializing the test computational code on the test virtual server; receiving computational performance measurements of the test virtual server and a remainder of the plurality of virtual servers; calculating a test score of the test virtual server based on the received computational performance measurements; and stopping the test computational code if the test score is outside a set range.

Abstract: A target object detection method performed by a computing device includes detecting a first target object on a user screen and obtaining a bot executable file to perform a defined operation for the first target object, labelling object type classification criteria for the first target object by encoding detection criteria information of the first target object included in the bot executable file, extracting a characteristic of process execution information of the first target object included in the bot executable file, and generating an object classification model that outputs data on an object type corresponding to process execution information by performing machine learning using the object type classification criteria and the characteristic.

Abstract: A wearable display device according to one or more embodiments of the present invention includes: a substrate; a first sensing unit on the substrate; and a display unit arranged on the first sensing unit and including a light emitting element that emits first light to a front side to display an image and emits second light to a rear side facing the substrate, the first sensing unit being configured to measure a bio-signal generated from a user's body using the second light reflected from the user's body.

Abstract: An electronic device is provided. The electronic device includes a touchscreen, at least one processor electrically connected with the touchscreen, and a memory electrically connected with the processor. The memory may store instructions executed to enable the at least one processor to display a first window for running a first application and a second window for running a second application on the touchscreen, display a virtual keypad on a portion of the first window and a portion of the second window corresponding to a first input to a focused window of the first window and the second window, and vary a size of the virtual keypad corresponding to a second input to the virtual keypad.

Abstract: A method for decoding an image based on an intra prediction, comprising: obtaining a first prediction pixel of a first region in a current block by using a neighboring pixel adjacent to the current block; obtaining a second prediction pixel of a second region in the current block by using the first prediction pixel of the first region; and decoding the current block based on the first and the second prediction pixels.

Abstract: A substrate-free adhesive tape which is easily applied to a continuous process due to an excellent adhesive strength and a short fracture distance is provided. An adhesive composition for making the substrate-free adhesive tape is also provided.

Abstract: Disclosed are a method and apparatus for improving the accuracy of intra-prediction in order to improve encoding and decoding efficiency. The video decoding method may improve the prediction efficiency for the current pixel to be predicted by referring to the degree of variation in surrounding pixels, to thereby effectively decode the bit stream with improved encoding efficiency. In addition, an additional prediction candidate is used to achieve improved accuracy of intra-prediction, and the thus-improved accuracy of intra-prediction may reduce residual components and improve encoding efficiency. Further, an improved planar mode is utilized to achieve improved intra-prediction.

Abstract: Disclosed is an electronic device including a camera, a touch screen display recognizing a touch input, an input interface receiving an input from a user of the electronic device, an input/output interface connected to an external device, and a processor electrically connected to the camera, the touch screen display, the input interface, and the input/output interface. The processor is configured to determine, if an operation associated with the camera is performed, whether the electronic device is in water, based on an electrical signal sensed from the input/output interface and information obtained from the touch screen display.

Abstract: The present invention provides an immunogenic composition comprising a Streptococcus pneumoniae polysaccharide-protein conjugate, comprising a capsular polysaccharide derived from one or more selected from the group consisting of serotypes 1, 2, 3, 4, 5, 6A, 6B, 7F, 8, 9N, 9V, 10A, 11A, 12F, 14, 15B, 17F, 18C, 19A, 19F, 20, 22F, 23F, and 33F, derived from Streptococcus pneumoniae; and one or 2 or more of carrier proteins conjugated to the respective capsular polysaccharide, and method of preparation thereof. Through one example of the present invention, an immunogenic composition for preventing or treating pneumococcal infection can be provided.

Abstract: Disclosed are a method and apparatus for improving the accuracy of intra-prediction in order to improve encoding and decoding efficiency. The video decoding method may improve the prediction efficiency for the current pixel to be predicted by referring to the degree of variation in surrounding pixels, to thereby effectively decode the bit stream with improved encoding efficiency. In addition, an additional prediction candidate is used to achieve improved accuracy of intra-prediction, and the thus-improved accuracy of intra-prediction may reduce residual components and improve encoding efficiency. Further, an improved planar mode is utilized to achieve improved intra-prediction.

Abstract: Systems and methods for sharing data among a plurality of block chain networks are disclosed.

Abstract: According to aspects of the present disclosure, a change detection method for ROBOT process automation (RPA) performed by a computer device includes obtaining object information of a target object from first working environment information at a first time, and determining a comparison object detected in second working environment information at a second time as an object corresponding to the target object based on the obtained object information of the target information. Thus, even if an error occurs due to a change in a working environment, an RPA apparatus can operate normally by correcting the error by itself without the need for a user to recreate a new bot or modify the existing bot. Also, even if the position or shape of an object referred to by RPA in a screen is changed, the RPA apparatus can accurately find an object to manipulate based on surrounding information and perform RPA normally.

Abstract: An electronic device includes a camera module capturing an image, a sensor module recognizing a signal associated with the electronic device or an external object, a first display and a second display, each of which is configured to output content, a memory, and a processor electrically connected to the camera module, the first display, the second display, and the memory. The processor is configured to determine whether the electronic device enters a first state, to capture a source image by using the camera module, when entering the first state, and to generate a first output image output on the first display or a second output image output on the second display based on the source image.