Abstract: A method of calculating a moving distance of a movable object in consideration of a bias identified based on a linear velocity of the movable object in the process of implementing a SLAM, and an electronic apparatus therefor are provided. One or more of an electronic apparatus, a vehicle and an autonomous vehicle disclosed in the present invention may be connected to an artificial intelligence module, a drone (Unmanned Aerial Vehicle, UAV), a robot, an augmented reality (AR) device, a virtual reality (VR) device, a device related to 5G service, and so on.

Abstract: Provided is a method for simulating a semiconductor device. The method includes extracting a Hamiltonian and an overlap matrix of a semiconductor device using a density functional theory or a tight-binding method, calculating each of Bloch states for each corresponding energy, obtaining a first reduced Hamiltonian and a first reduced overlap matrix with a reduced matrix size, and calculating a final transformation matrix and a final energy band structure in which all of unphysical branches, wherein the semiconductor device includes a source region, a drain region, and a channel region between the source region and the drain region, wherein the channel region includes unit cells, each of which includes different material or has different structure.

Abstract: In a method of manufacturing a highly stretchable three-dimensional (3D) percolated conductive nano-network structure, a 3D nano-structured porous elastomer including patterns distributed in a periodic network is formed. A surface of the 3D nano-structured porous elastomer is changed to a hydrophilic state. A polymeric material is conformally adhered on the surface of the 3D nano-structured porous elastomer. The surface of the 3D nano-structured porous elastomer is wet by infiltrating a conductive solution in which a conductive material is dispersed. A 3D percolated conductive nano-network coupled with the 3D nano-structured porous elastomer is formed by evaporating a solvent of the conductive solution and removing the polymeric material.

Abstract: A divider for dividing a radio signal includes an input port, a plurality of output ports and a cavity having one surface coupled to the input port and other surface coupled to the plurality of output ports. The other surface is formed as a curved surface, and the plurality of output ports is disposed on the other surface at certain intervals. The side of the cavity is slantly formed from the one surface to the other surface at a certain angle. The distances between the input port and the plurality of output ports is the same.

Abstract: In this invention, we propose a convolutional neural network (CNN) based architecture designed for the ITM to HDR consumer displays, called ITM-CNN, and its training strategy for enhancing the performance based on image decomposition using the guided filter. We demonstrate the benefits of decomposing the image by experimenting with various architectures and also compare the performance for different training strategies. To the best of our knowledge, this invention first presents the ITM problem using CNNs for HDR consumer displays, where the network is trained to restore lost details and local contrast. Our ITM-CNN can readily up-convert LDR images for direct viewing on an HDR consumer medium, and is a very powerful means to solve the lack of HDR video contents with legacy LDR videos.

Abstract: Disclosed is an integrated circuit, which includes a DTC block including DTCs, receiving a first reference signal and a first division signal, and outputting a second reference signal and a second division signal based on the first reference signal, the first division signal, and control codes, a TDC comparing phases of the second reference signal and the second division signal and outputting a comparison signal, a digital loop filter filtering the comparison signal, an oscillator generating an output signal based on the filtered comparison signal, a delta-sigma modulator outputting a first signal and a quantized noise signal based on first and second division ratio signals, a divider dividing a frequency of the output signal based on the first signal and outputting the first division signal, and a probability modulator generating the control codes based on the quantized noise signal. Probability density functions of the control codes are time-invariant.

Abstract: According to embodiments of the present disclosure, a solid oxide fuel cell includes a cathode, an anode, and a solid oxide electrolyte disposed between the anode and the cathode. The anode includes a porous scaffold that includes a solid oxide having one or more metal nanoparticles disposed on one or more surfaces of the porous scaffold. The porous scaffold and the solid oxide electrolyte are formed from La0.8Sr0.2Ga0.83Mg0.17O2.815 (LSGM), and the metal nanoparticles are selected from the group consisting of platinum, nickel, gold, and combinations thereof. Methods of synthesizing ammonia using the fuel cell are also described.

Abstract: According to embodiments of the present disclosure, a solid oxide fuel cell includes a cathode, an anode, and a solid oxide electrolyte between the anode and the cathode. The solid oxide electrolyte includes a solid oxide, and the anode includes a porous scaffold. The porous scaffold includes a solid oxide having metal-based catalysts disposed on one or more surfaces of the porous scaffold. In embodiments, at least one ammonia decomposition layer is disposed proximate the surface of the porous scaffold and is configured to convert ammonia into hydrogen and nitrogen for subsequent feed of hydrogen to the anode. The ammonia decomposition layer also includes a metal decomposition catalyst.

Abstract: Disclosed are an unsupervised learning-based image registration method using a neural network with cycle consistency and an apparatus therefor. An image registration method includes receiving a first image and a second image for image registration, outputting a deformation field for the first image and the second image using an unsupervised learning-based neural network with cycle consistency for the deformation field, and generating a registration image for the first image and the second image based on a spatial deformation function using the output deformation field. The outputting of the deformation field includes outputting the deformation field for the first image for registering the first image to the second image may be output, when the first image is a moving image and the second image is a fixed image, and the generating of the registration image includes generating the registration image by applying the deformation field for the first image to the first image using the spatial deformation function.

Abstract: According to embodiments of the present disclosure, a method of producing hydrogen in a fuel cell includes passing ammonia under pressure to an anode of the fuel cell, where the ammonia is decomposed into nitrogen gas and protons. The fuel cell comprises a cathode, the anode, and a proton-conducting electrolyte between the anode and the cathode. The anode includes an ammonia decomposition catalyst. The method further includes passing the purging the nitrogen from the anode, passing the protons through the proton-conducting electrolyte to the cathode, and passing the electrons from the anode to the cathode, wherein the protons and the electrons react to produce substantially pure hydrogen gas under pressure.

Abstract: Disclosed is a method and system for enhancing document reliability to enable a given document to receive higher reliability from a reader. A method for enhancing document reliability according to an embodiment of the present invention comprises the steps of: when a document is input by a user, generating a correction candidate set for each sentence of the input document; predicting a reliability distribution for each of the generated correction candidate set and the input document; and enhancing reliability of the input document via a plurality of enhancement schemes based on a standard deviation and a mean of the predicted reliability distribution.

Abstract: The present invention relates to a recombinant microorganism having heterologous genes introduced thereto and a method for producing a useful material from formic acid and carbon dioxide using the microorganism. The present invention provides a novel microorganism having a cyclic metabolic pathway introduced thereto through which C3 or higher carbon organic compounds can be synthesized from formic acid and carbon dioxide, whereby carbon dioxide rich in nature and formic acid that is of low toxicity and suitable for anabolic reaction in view of reaction kinetics and which can be easily and rapidly synthesized from carbon dioxide can be used to effectively synthesize the C3 organic compound pyruvic acid from which various high-value added compound can be synthesized.

Abstract: The disclosed graphene quantum dot composite includes a dielectric matrix including a metal oxynitride, and a graphene quantum dot dispersed in the dielectric matrix. The graphene quantum dot composite can reduce the aggregation-caused photoluminescence quenching of graphene quantum dots, and can improve a photoluminescence quantum yields of a graphene quantum dot.

Abstract: A mobile robot control apparatus includes an online 3D modeler and a path planner. The online 3D modeler is configured to receive an image sequence from a mobile robot and to generate a first map and a second map different from the first map based on the image sequence. The path planner is configured to generate a global path based on the first map, to extract a target surface based on the second map and to generate a local inspection path having a movement unit smaller than a movement unit of the global path based on the global path and the target surface.

Abstract: A method and apparatus for transmitting adaptive video in real time using a content-aware neural network are disclosed. At least one embodiment provides a method performed by a server for transmitting an adaptive video in real time by using content-aware deep neural networks (DNNs), including downloading a video, encoding a downloaded video for each of at least one resolution, dividing an encoded video into video chunks of a predetermined size, training the content-aware DNNs by using encoded video, generating a configuration or manifest file containing information on trained content-aware DNNs and information on the encoded video, and transmitting the configuration file upon a request of a client.

Abstract: A method for processing, by a base station, an interference in a wireless communication system includes determining a first base station group and a second base station group based on network topology information, determining a first precoder vector for the first base station group and a second precoder vector for the second base station group, the first precoder vector being linearly independent of the second precoder vector, and transmitting the first precoder vector and a first decoder vector to the first base station group and transmitting the second precoder vector and a second decoder vector to the second base station group, wherein the first decoder vector is included in a null space of the second precoder vector, and the second decoder vector is included in a null space of the first precoder vector.

Abstract: Disclosed herein are electrolyte bismuth calcium ferrites having high oxygen vacancy ion mobility. There can be provided an oxygen vacancy electrolyte material including bismuth calcium ferrites (Bi1-xCaxFeO3-?).

Abstract: The present invention, which is used for continuous variable quantum key distribution (CVQKD) with asynchronous local oscillators, relates to a system for performing a phase compensation of a scheme of using LO phase estimation and feedback at a receiver (Bob) using a pilot signal from a transmitter (Alice) and a scheme of measuring quantum state data using an LO having a predetermined phase at the receiver (Bob) and estimating and feeding back an LO phase through multi-dimensional reconciliation (MDR).

Abstract: Embodiments of the present disclosure are directed to a diesel reforming system comprising: a diesel autothermal reformer; a liquid desulfurizer disposed upstream of the diesel autothermal reformer and configured to remove sulfur compounds from diesel fuel prior to feeding to the diesel autothermal reformer; a combustor in communication with the liquid desulfurizer and configured to provide heat for the liquid desulfurizer; a regulating valve in communication with the liquid desulfurizer and the combustor, the regulating valve being configured to control diesel fuel feeds to the liquid desulfurizer and the combustor; and a post-reformer disposed downstream of the diesel autothermal reformer.

Abstract: Semiconductor devices may include a stacked structure including interlayer insulating layers and gate electrodes alternately stacked in a vertical direction, a core region extending in the vertical direction in the stacked structure, a channel layer on a side surface of the core region and facing the gate electrodes and the interlayer insulating layers, a first dielectric layer, a data storage layer and a second dielectric layer, which are between the channel layer and the gate electrodes in order, and an anti-ferroelectric layer including a portion interposed between the first dielectric layer and a first gate electrode of the gate electrodes. The second dielectric layer may contact the channel layer. The anti-ferroelectric layer may be formed of an anti-ferroelectric material having a tetragonal phase.