Abstract: An embodiment ceria-alumina support (CeO2—Al2O3 support) includes a nano-ceria having a shape of a polygonal bipyramid or a truncated polygonal bipyramid supported on alumina. An embodiment noble metal catalyst for treating exhaust gas includes a noble metal deposited on a ceria-alumina support (CeO2—Al2O3 support) that includes a nano-ceria having a shape of a polygonal bipyramid or a truncated polygonal bipyramid supported on alumina. An embodiment method for affecting resistance to sulfur-poisoning of a noble metal catalyst through structural transformation of nano-ceria supported on alumina includes performing a hydrothermal treatment of ceria supported on ?-alumina.

Abstract: Disclosed are a wavelet-based progressive fast recompression method and system for large-deformed mesh data. Given mesh data is compressed. The compressed mesh data is recompressed by propagating part of a deformed mesh to all meshes based on information extracted from the compressed data when the mesh data is deformed.

Abstract: An electronic device and method for partitioning an accelerator and scheduling batches are disclosed. An electronic device includes one or more processors, and a memory storing instructions configured to cause the one or more processors to, for a first partitioning of an accelerator into partitions of different sizes, based on resource utilization of the partitions batch of different sizes input to the partition, determine correspondences between the sizes of the batches and the sizes of the partitions in the first partitioning, determine numbers of partitions for the respective determined sizes of the partitions based on the correspondences between the sizes of the batches and the sizes of the partitions in the first partitioning, and partition the accelerator into a second partitioning based on the determined numbers of the respective sizes of the partitions.

Abstract: The present invention relates to a 3D holographic imaging apparatus and method for projecting multiple point light sources to one plane such that qubits can be detected at rapid rate by allowing a 3D qubit model arranged in three dimensions to be simultaneously photographed in two dimensions. For this, the present invention provides a 3D holographic imaging apparatus comprising: a fluorescent unit configured to cause each qubit composing a 3D qubit model to emit qubit fluorescent beams; a lens unit configured to change the qubit fluorescent beams to a desired route; a light modulator configured to modulate each phase of the qubit fluorescent beams for each predetermined position, and control a position of a focal point; and an imaging unit configured to image the qubit fluorescent beams modulated by the light modulator in a two-dimensional (2D) image.

Abstract: An apparatus for assisting a finger motion, including a palm support installed to surround a part of a hand-back and a wrist; an extension assist unit secured at a first side thereof to a middle phalanx region of a finger and connected at a second side thereof to the palm support to assist extension of the finger through an elastic force between both ends; and a flexion assist unit comprising a distal phalange support mounted on an end of the finger, and a first flexion wire and a second flexion wire mounted on a part of the finger and assisting flexion of the finger on the basis of tensile force supplied from an outside.

Abstract: Disclosed is a neuromorphic memory element, which includes a first electrode; a second electrode; a first thin film layer adjacent to the first electrode between the first electrode and the second electrode and that is configured to emulate a neuronal plasticity by performing a volatile storage function based on a voltage difference between the first electrode and the second electrode; and a second thin film layer between the first thin film layer and the second electrode and that is configured to emulate a synaptic plasticity by performing a non-volatile storage function.

Abstract: A method of using open domain information for understanding a context of temporal relation information is implemented as a computer program and performed using a computing device. Unnecessary elements is removed by data pre-processing from an input text in a natural language, and then linguistic characteristics of the pre-processed input text are analyzed to generate a linguistic analysis result in a structure form. Candidates for temporal relation information included in the input text are generated by analyzing temporal information and open domain information included in the input text using the linguistic analysis result, then validity of the candidates is verified to generate verified temporal relation information.

Abstract: Disclosed are a method of inspecting a printing quality of a 3D printing object using a femtosecond laser beam during a 3D printing process, and an apparatus and a 3D printing system for the same. A laser beam is irradiated from a femtosecond laser source disposed coaxially with a 3D printing laser source to inspect a state of the printing object. The laser beam generated by the femtosecond laser source is separated into a pump laser beam and a probe laser beam. The printing laser beam irradiated from a 3D printing laser source or the pump laser beam is irradiated onto a printing object to generate ultrasonic waves. To measure the ultrasonic waves, a probe laser beam is irradiated onto the printing object. The probe laser beam reflected by the printing object is detected. The quality of the printing object is inspected by analyzing the reflected probe laser beam.

Abstract: Various embodiments relate to an optical detection element and GOI (Ge-on-insulator) device for ultra-small on-chip optical sensing, and a manufacturing method of the same. According to various embodiments, the optical detection element and the GOI device may be implemented on a GOI structure comprising a germanium (Ge) layer, and the GOI device may be implemented to have an optical detection element. Specifically, the GOI device may include a GOI structure with a waveguide region comprising a germanium layer, a light source element configured to generate light for the waveguide region, and at least one optical detection element configured to detect light coming from the waveguide region. At least one slot configured to collect light from the light source element may be formed in the germanium layer in the waveguide region. The light source element may generate light so as to be coupled to the germanium layer in the waveguide region.

Abstract: Various example embodiments provide a computing device of an algorithm for reconstructing a three-dimensional (3D) image in consideration of multiple scattering and a method of the same. According to various example embodiments, the computing device may be configured to set a 3D refractive index based on a plurality of 2D images for a specimen and to reconstruct a 3D image for the specimen from the set refractive index using a modified Born expansion considering multiple scattering to converge a calculation result.

Abstract: An electrolyte includes a plurality of additives to form a multi-layered solid electrolyte interface layer. In addition, a lithium secondary battery including the same electrolyte is proposed.

Abstract: An MRAM cell includes a switch unit configured to determine opening and closing thereof by a word line voltage and to activate a current path between a bit line and a bit line bar in an opened state thereof, first and second MTJs having opposite states, respectively, and connected in series between the bit line and the bit line bar, to constitute a storage node, and a sensing line configured to be activated in a reading mode of the MRAM cell, thereby creating data reading information based on a voltage between the first and second MTJs, wherein the first and second MTJs have different ones of a low resistance state and a high resistance state, respectively, in accordance with a voltage drop direction between the bit line and the bit line bar, thereby storing data of 0 or 1.

Abstract: An information processing apparatus comprises a controller. The controller is configured to execute: acquiring a plurality of datasets, each of the datasets being configured with a combination of training data and a correct answer label; and implementing machine learning of an estimation model using the acquired plurality of datasets, wherein the training data includes workload information about an application constructed based on a microservice architecture and resource use information about resources used for each of components included in the application, in a learning target environment, the correct answer label is configured to show a true value of quality of service of the application, and the machine learning comprises training the estimation model such that, for each of the datasets, an estimated value of the quality of service calculated with the estimation model based on the training data corresponds to the true value shown by the correct answer label.

Abstract: An output buffer is disclosed that includes: a buffer circuit that outputs an output signal to an output terminal based on a first input signal provided to a first input terminal and a second input signal provided to a second input terminal; and a current supply circuit that is connected in parallel to the buffer circuit, and provides an auxiliary current to the output terminal based on the first input signal and the second input signal.

Abstract: A method for detecting fatigue cracks in a structure and a system therefore are disclosed. A vibration detection element detects vibration of the structure generated when the structure is excited at low and high frequencies and generates a measurement signal in the time domain. Based on a trained long short-term memory (LSTM) network, a signal of the next time step is predicted from the measurement signal of the current time step measured by the vibration detection element. The measurement signal and the prediction signal are combined to create a new combined signal with an increased length in the time domain. The combined signal is Fourier transformed to reduce noise and enhance the information of the measured signal in the frequency domain, and the Fourier transformed signal is used to obtain a spectral density function and to detect cracks in the structure.

Abstract: An intelligent trust enabler system for a 5G IoT (fifth-generation Internet of Things) environment includes: an IoT trust enabler mounted on an edge and gateway on a fifth-generation (5G) IoT infrastructure, for providing trust information based on data collected from IoT devices and performing operation and management of connected IoT resources; and an IoT trust agent for providing a legacy environment for the IoT trust enabler.

Abstract: The present disclosure relates to a noble metal single atom or cluster-porous molybdenum carbide/carbon nanocomposite using dynamic arrangement of noble metal single atoms or clusters, a method for preparing the same, a catalyst for hydrogen evolution reaction or hydrogen oxidation reaction including the same, and an electrode including the catalyst. The noble metal single atom or cluster-porous molybdenum carbide/carbon nanocomposite of the present disclosure, which is prepared by uniformly bonding a noble metal catalyst only on molybdenum carbide in the form of single atoms or clusters in atomic scale through selective dynamic arrangement, may have remarkably improved catalytic activity and kinetic characteristics since the utilization of the noble metal is improved through selective dynamic arrangement of the noble metal catalyst, may have high stability due to strong interaction between the noble metal catalyst and the molybdenum carbide, and may have high tolerance to carbon monoxide.

Abstract: Disclosed is a 3D point cloud-based deep learning neural network acceleration apparatus including a depth image input unit configured to receive a depth image, a depth data storage unit configured to store depth data derived from the depth image, a sampling unit configured to sample the depth image in units of a sampling window having a predetermined first size, a grouping unit configured to generate a grouping window having a predetermined second size and to group inner 3D point data by grouping window, and a convolution computation unit configured to separate point feature data and group feature data, among channel-direction data of 3D point data constituting the depth image, to perform convolution computation with respect to the point feature data and the group feature data, to sum the results of convolution computation by group grouped by the grouping unit, and to derive the final result.

Abstract: Provided are a computer system for automatically searching for a mental disorder diagnosis protocol and an method thereof that may determine at least one test region to be examined for a predetermined mental disorder diagnosis in a brain image of a patient based on a first artificial neural network, may determine a test process for the mental disorder diagnosis for the patient based on a second artificial neural network, and may provide a test protocol for the mental disorder diagnosis for the patient based on the test region and the test process. The computer system may visualize at least one of a position, a shape, a size, and an importance of the test region in the brain image. The test process may include test order of a plurality of test stages in which the brain image is to be used for the mental disorder diagnosis.

Abstract: A server may include a communication circuit communicating with a user terminal, storage including a fingerprint DB storing fingerprints corresponding to a plurality of points and a signal fluctuation probability DB, and a processor electrically connected to the communication circuit and the storage. The processor may be configured to store similarity between first signal strength and second signal strength, which are determined based on a probability that a pair of the first signal strength and the second signal strength received from a first AP occurs with respect to fingerprints corresponding to a first point, in the signal fluctuation probability DB, to obtain a fingerprint including signal strength received from the first AP, from the user terminal, and to determine a location of the user terminal based on the obtained fingerprint and the signal fluctuation probability DB.