Abstract: Provided is a high-gain amplifier based on double-gain boosting including a first gain amplification unit including a first amplifier, a second amplifier, and a an interstage matching network connected between the first amplifier and the second amplifier and performing primary amplification; and a second gain amplification unit connected in parallel with the first gain amplification unit and performing secondary boosting.

Abstract: An image sensor pixel includes first, second and third PIN photodiodes having respective first, second and third widths, which are unequal to each other, and respective first, second and third absorption spectra associated therewith, which are unequal to each other. The first absorption spectra is a first linear combination of three color matching functions divided by a wavelength of light incident the image sensor, the second absorption spectra is a second linear combination of the three color matching functions divided by a wavelength of light incident the image sensor, and the third absorption spectra is a third linear combination of the three color matching functions divided by a wavelength of light incident the image sensor.

Abstract: Proposed are an optimal operation method of a high-frequency dithering technique for compensating for interference noise in an analog optical transmission-based mobile fronthaul network, and a transmitter using same. An interference noise compensation method using high-frequency phase dithering performed in an analog optical transmission-based mobile fronthaul network may include the steps in which: a frequency-multiplexed wireless signal is converted in an optical transmitter to an intensity-modulated optical signal; and the phase of the optical signal intensity-modulated in the optical transmitter is dithered with an Orthogonal Frequency-Division Multiplexing (OFDM) signal.

Abstract: A catalyst for a hydrogenation reaction including a polymer support and a catalytic component supported on the polymer support. The polymer support consists of a repeating unit represented by any one of Formulae 5 and 7 to 13.

Abstract: Disclosed are a video processing method and a device therefor. The video processing method may include receiving a video comprising a plurality of temporal portions, receiving a first model parameter corresponding to a first neural network to process the video entirely, receiving residues between the first model parameter and a plurality of second model parameters corresponding to a plurality of second neural networks to process the plurality of temporal portions, and performing at least one of super-resolution, reverse or inverse tone mapping, tone mapping, frame interpolation, motion deblurring, denoising, and compression artifact removal on the video based on the residues.

Abstract: A method for safely designing and implementing an interconnect for a disaggregated system is disclosed. The method for designing and implementing an interconnect for a disaggregated system, according to an embodiment, may comprise the steps of: configuring an interconnect for a disaggregated system by using a layer-based topology; and managing components of the disaggregated system via a plurality of routers included in the configured interconnect.

Abstract: An electrolyte solution for a lithium secondary battery includes a salt of metal element as an additive and a lithium secondary battery including the same.

Abstract: The merocyanine compound of the present invention causes a spectral change of a hypochromic shift in the vicinity of the wavelength of 512 nm by intercalation between dsRNA nucleotide pairs, and the spectral change shows high accuracy and reproducibility, so the merocyanine compound of the present invention can be effectively used for detecting dsRNA and comparing the expression levels between samples. In addition, the present invention relates to a composition for detecting dsRNA comprising a merocyanine compound, a salt thereof or an isomer thereof.

Abstract: Disclosed is a single transistor with a double gate structure for an adjustable firing threshold voltage and a neuromorphic system using the same. A single transistor neuron with a double gate structure according to an example embodiment includes a barrier material layer formed on a semiconductor substrate and comprising a hole barrier material or an electron barrier material; a floating body layer formed on the barrier material layer; a source and a drain formed at both sides of the floating body layer, respectively; a driving gate formed at a first side of the floating body layer without contacting the source and the drain; a control gate formed at a second side of the floating body layer without contacting the source and the drain; and a gate insulating film formed between the floating body layer and the driving gate and between the floating body layer and the control gate.

Abstract: Various embodiments relate to a computer apparatus for the bone microstructure connectivity recovery of a skeletal image reconstructed through an artificial neural network using the representations of a node-link graph-based bone microstructure and a method thereof. The computer apparatus and the method may be configured to represent a node-link graph from a bone microstructure of an input skeletal image, reinforce a connectivity of the bone microstructure in the node-link graph, and change the node-link graph into a skeletal image.

Abstract: Disclosed is an electrical plant monitoring device which includes a plurality of flexible electrodes that are attached to a plate-shaped tissue and a tubular tissue of a plant, an impedance measurement unit that obtains electrical signals by using the plurality of flexible electrodes and measures impedance values associated with the plate-shaped tissue and the tubular tissue based on the electrical signals, and a spectrum monitor that generates an impedance spectrum based on the impedance values and monitors the impedance spectrum to sense an ion stress of the plant.

Abstract: Disclosed are an electronic system for performing control over a virtual reality space, an electronic device, and a method for operating same. The disclosed electronic system comprises: an electronic device which receives, as one or more touch gestures, control of a virtual reality space and/or an object within the virtual reality space and displays a first screen according to a corresponding first view frustum within the virtual reality space; and an HMD which is worn on the user's head and displays a second screen of the virtual reality space according to the head direction of the user at a time point corresponding to the second view frustum within the virtual reality space.

Abstract: Disclosed is an optimal AP connection method including transmitting, by an IoT device, a probe request message to a plurality of iAPs; transmitting, by each of the plurality of iAPs that receives the probe request message, the probe request message to an iAP controller and transmitting local information to each iAP to the iAP controller; performing, by the iAP controller, reinforcement learning for IoT device using global information that is updated from the local information; selecting, by the iAP controller, an optimal iAP based on RL reinforcement learning and transmitting recommended Tx power value information on the IoT device and a probe response message to the selected corresponding iAP; and transmitting, by the corresponding iAP that receives its selection as the optimal iAP in response to the probe request from the iAP controller, the probe response message and the recommended Tx power value information to the IoT device.

Abstract: Disclosed is a method and apparatus for quantifying severity of infectious disease based on a vision transformer using a chest X-ray (CXR) image. Here, a method of quantifying severity of infectious disease based on a vision transformer includes receiving an input CXR image; extracting a feature map from the received input CXR image using a pretrained neural network; classifying a lesion in the input CXR image using the vision transformer based on the extracted feature map; and quantifying severity of the input CXR image based on the extracted feature map and the classified lesion.

Abstract: Proposed is a temperature relation equation derivation method which includes irradiating a same point of a target substance with heating light for heating the target substance and measurement light for detecting a change of a reflectivity of the target substance caused by the heating light, detecting light of detecting intensity of each of incident light and reflected light of the measurement light, and calculating of deriving a temperature relation equation based on the reflectivity of the target substance by using a value detected in the detecting of light.

Abstract: A task execution method includes receiving an execution request for a first task; analyzing the first task and dividing the first task into sub-tasks, the sub-tasks including a first sub-task and a second sub-task; calculating respective deadline times of the sub-tasks; scheduling the sub-tasks for processing by resources, the resources using neural networks; sequentially executing the sub-tasks using the resources and the neural networks; checking whether respective runtimes of the sub-tasks exceed a corresponding deadline time; and executing the second sub-task, subsequent to executing the first sub-task, using a first pruned neural network generated from the neural networks when the checking indicates that the runtime of the first sub-task exceeds the deadline time of the first sub-task.

Abstract: The present invention relates to a context-based QA generation architecture, and an object of the present invention is to generate diverse QA pairs from a single context. To achieve the object, the present invention includes a latent variable generating network including at least one encoder and an artificial neural network (Multi-Layer Perceptron: MLP) and configured to train the artificial neural network using a first context, a first question, and a first answer, and generate a second question latent variable and a second answer latent variable by applying the trained artificial neural network to a second context, an answer generating network configured to generate a second answer by decoding the second answer latent variable, and a question generating network configured to generate a second question based on a second context and the second answer.

Abstract: Embodiments of the disclosure relate to a novel concept complex generator enabling high-efficient power generation by applying a polar solution to a MXene layer-coated hydrophilic fiber membrane-based complex generator, and a manufacturing method thereof. Specifically, a MXene layer-coated hydrophilic fiber membrane-based electrical energy generation device uniformly applies MXene particles to fiber strand surfaces of hydrophilic fiber membranes through a dipping process to form a MXene layer.

Abstract: Disclosed is an image segmentation method including receiving an image to be segmented and segmenting the received image by using a neural network learned through a Mumford-Shah function-based loss function.

Abstract: An electronic circuit according to various embodiments may comprise: a switch circuit, wherein the switch circuit may comprise: a first switch connected to a first port and a second switch connected to a second port, the first and second switches being connected in series with each other; a first parallel switch connected to a node between the first switch and the second switch; and a first shunt inductor connected to the node between the first switch and the second switch and configured to cancel a parasitic capacitance component of the first parallel switch.