Abstract: One embodiment of the present invention provides an atomic layer deposition device for filling a gap of a semiconductor structure with a high aspect ratio and a method of manufacturing the same. According to the atomic layer deposition method of filling the gap of the semiconductor structure with the high aspect ratio according to one embodiment of the present invention, it is possible to remove an overhang at an pattern top at the same time as deposition and perform the gap-filling to remove a void and a seam by improving bottom-up deposition in a high aspect ratio structure of 40:1 or more.

Abstract: A meta-antenna apparatus and method are provided. The meta-antenna includes a substrate comprising a ground plane, a first slot structure including slots disposed on the ground plane, feed lines electrically connected to the first slot structure, and a meta-surface including a meta-material, and unit cells, the meta-surface being spaced apart from the ground plane. The unit cells each includes a square cross-sectional shape, and a ring-shaped metal pattern formed on one side thereof, and an inner diameter of the metal pattern is smaller than half a length of one side of the square of a unit cell.

Abstract: The present disclosure relates to a xanthene derivative compound with a high refractive index and a manufacturing method therefor. More specifically, provided herein is a compound that has a xanthene-based complex cardo structure and a high refractive index and can be used as a monomer in optical resins requiring a refractive index of 1.7 or higher, and a (co)polymer and an optical lens manufactured therefrom. Given, the xanthene-based complex cardo structure of the compound maximally suppresses the fluidity of the molecular chains and can find applications in the production of resins with high glass transition temperature and excellent thermal stability.

Abstract: The present invention relates to a method and an apparatus for synthesizing the voice based on brain waves during imagined speech. The method for synthesizing the voice based on brain waves during imagined speech according to an embodiment of the present invention may include the following steps: a step to obtain the user's brain waves during imagined speech; a step to convert the above-mentioned brain waves of imagined speech into embedding vectors; a step to generate the mel-spectrograms based on the above-mentioned embedding vectors; a step to generate the voice using the above-mentioned mel-spectrograms; a step to output the above-mentioned voice.

Abstract: Proposed is a treatment system using vagus nerve stimulation. The treatment system includes a treatment part including an electrode configured to be worn on at least one of the left and right ears and configured to generate electrical stimulation on the vagus nerve in the auricle, a controller configured to transmit an electrical stimulation signal for generating the electrical stimulation to the treatment part, an input part configured to allow a user to input user information, and a measurement part configured to measure biometric information on the user. The controller adjusts an intensity and a pattern of the electrical stimulation on the basis of the biometric information measured by the measurement part, and adjusts a treatment protocol including treatment time and treatment intensity on the basis of the biometric information measured by the measurement part and the user information input by the input part.

Abstract: A dust mass measurement device includes a sensing channel configured to generate a sensing clock signal, a reference channel configured to generate a reference clock signal, a counter configured to generate a first output signal based on the sensing clock signal, and generate a second output signal based on the reference clock signal, and a controller configured to calculate a frequency difference between the sensing clock signal and the reference clock signal based on a difference value between the first output signal and the second output signal, which are received from the counter, and measure a mass of dust based on the calculated frequency difference.

Abstract: A method of classifying, by an apparatus including a processor and a memory, a subject-independent driver state according to an embodiment of the present disclosure may include (a) learning a state classification model that receives one or more drivers' bio-signal data from a database to output the drivers' state classification (b) receiving a new driver's bio-signal, (c) preprocessing the received new driver's bio-signal, and (d) inputting the preprocessed new driver's bio-signal to the state classification model to output the driver's state classification result, wherein the bio-signal is at least one of an electroencephalogram (EEG), an electrooculogram (EOG), an electrocardiogram (ECG), and a photoplethysmogram (PPG).

Abstract: Disclosed herein are an immersive image encoding/decoding method and apparatus, and a method for transmitting a bitstream generated by the immersive image encoding method. An immersive image encoding method according to the present disclosure, which is performed in an immersive image encoding apparatus, may include: grouping images for a virtual reality space into groups; calculating, based on view information, a view weight of each of the groups; and determining, based on the view weight, a bitstream level of the each of the groups.

Abstract: The present disclosure relates to an apparatus and method for processing interference signal of an automotive radar, and more particularly, to an apparatus and method for processing interference signal of an automotive radar to detect and cancel interference signal of the automotive radar.

Abstract: A processor-implemented method including identifying, from received Radio Frequency (RF) signals, a signal feature map, the signal feature map containing information calculated to detect a presence of a person, identifying, from the received RF signals, visual clues according to association information between first information based on a result of image-based Multi-Person Pose Estimation (MPPE) learning and second information based on a result of RF signal-based Multi-Person Pose Estimation (MPPE) learning, detecting one or more persons by utilizing the signal feature map and the visual clues, and detecting one or more poses of the one more persons based on the signal feature map and the visual clues.

Abstract: The present invention relates to a brain signal-based user assisting method including the steps of: acquiring learning data for setting a designated command; setting one of a plurality of designated command candidates as a designated command, based on the acquired learning data; performing a background process for recognizing the designated command; determining whether the designated command is recognized continuously more than given times, based on the background process; and if it is determined that the designated command is recognized continuously more than the given times, performing a user's brain signal recording.

Abstract: The present disclosure relates to a contact lens containing ceria particles. Further, the present disclosure relates to a method for manufacturing a contact lens containing ceria particles. The method includes preparing ceria particles; preparing poly-2-hydroxyethyl methacrylate (PHEMA or poly-HEMA) in a form of cross-linked hydrogel; mixing the ceria particles and the monomer mixture for poly-2-hydroxyethyl methacrylate (PHEMA or poly-HEMA) with each other to form a mixture; and injecting the mixture in a mold having a contact lens shape; and performing photo-curing polymerization of the mixture. The contact lens effectively eliminates the reactive oxygen species and harmful radicals that are identified as a cause of eye diseases.

Abstract: An error compensation circuit for analog capacitor memory circuits includes a first transistor and a second transistor with gates connected respectively to top and bottom of an analog memory capacitor to read a voltage charged in the analog memory capacitor; a first switch and a second switch connected respectively to the first transistor and the second transistor to select the voltage to read; a first capacitor and a second capacitor to charge an electric charge to compensate or refresh the analog memory capacitor according to on/off of the first switch and the second switch; and an input terminal connected to sources of the first transistor and the second transistor to apply the voltage to operate the circuit. Accordingly, it is possible to compensate for an unintended phenomenon of the analog capacitor memory or refresh a change in memory value caused by leakage.

Abstract: A power transmission system for driving a robot joint includes a driving part including a first driving unit and a second driving unit, a first force transmission part including a first sheath formed to have a predetermined length, flexibility, and a hollow shape and a first wire which is inserted into the first sheath and of which one end is fixed to a joint of a robot and the other end is connected to the first driving unit, and a second force transmission part including a second sheath formed to have a predetermined length, flexibility, and a hollow shape and a second wire which is inserted into the second sheath and of which one end is fixed to the joint of the robot and the other end is connected to the second driving unit.

Abstract: The disclosure relates to a method and a control server for scheduling a computing task including a plurality of tasks to be performed by computation servers.

Abstract: A capacitor-less low dropout regulator includes: a capacitor-less dual feedback loop unit including a plurality of feedback resistors, an error amplifier, and a transconductance cell to form a main loop passing through the error amplifier and a sub-loop passing through the gm cell without passing through the error amplifier; a dynamic compensation unit connected to a first main pole located at an output of the error amplifier and a second main pole located at an output of the gm cell to provide dynamic frequency compensation using a Miller effect to the first main pole and the second main pole according to a load current of the capacitor-less dual feedback loop unit; and a load current measurement unit configured to measure a load current of a third main pole formed at a load of the dual feedback loop unit to provide the load current to the dynamic compensation unit.

Abstract: The present invention relates to a program analysis device and method, wherein the program analysis device may comprise: a selection unit for selecting one of top-down processing or bottom-up processing for at least one analysis equation among a plurality of analysis equations; a first learning unit which, when the selection unit selects the top-down processing, performs top-down processing for the at least one analysis equation on the basis of a first learning algorithm in response to the selection, and thereby acquires at least one first learned analysis equation; and a second learning unit which, when the selection unit selects the bottom-up processing, performs bottom-up processing for the at least one analysis equation on the basis of a second learning algorithm in response to the selection, and thereby acquires at least one second learned analysis equation.

Abstract: There is provided a method for managing a virtual memory in a heterogeneous system. The method comprises receiving a request for accessing to a page in the heterogeneous system; determining a physical address corresponding to an address of the page in the device memory; generating a frame indentification of a migration destination of the device memory using an inverted page table stored in the device memory, when the determined physical address indicates an address allocated to the system memory; and performing page migration to the system memory using the frame indentification and the physical address.

Abstract: A reinforcement learning model is provided. The reinforcement learning model may include a skill regularized task decomposition model configured to perform a skill regularized task decomposition based on a determined data quality and a data augmentation model configured to perform data augmentation by generating an imaginary demo. The skill regularized task decomposition model may perform a skill embedding operation by implementing 2n-step state-action pairs, perform a skill regularization operation by implementing n-step transitions including states, actions, rewards, and next states, and perform an operation of decomposing a task in units of episodes into subtasks in units of n-steps.

Abstract: Proposed is a system for monitoring internal conditions of a processing chamber. The system includes at least one sensor provided inside the processing chamber and configured to measure an amount of reactant present inside the processing chamber, and a monitoring apparatus configured to monitor the internal conditions of the processing chamber on the basis of a measurement value received from the at least one sensor, wherein the monitoring apparatus determines at least one of a start point and an end point of a cleaning process for the processing chamber on the basis of a change in the measurement value.