Abstract: The present disclosure relates to the preparation of citrullinated vimentin antigen-specific immune tolerogenic dendritic cells and a composition for preventing or treating heart failure after myocardial infarction comprising the same. According to the present disclosure, it is confirmed that immune tolerogenic dendritic cells differentiated by treating immature dendritic cells with citrullinated vimentin regulate the expression of immune-related factors and have an excellent therapeutic effect on heart failure caused by myocardial infarction.

Abstract: An apparatus includes one or more processors configured to execute instructions; and one or more memories storing the instructions; wherein the execution of the instructions by the one or more processors configures the one or more processors to generate an approximate polynomial, approximating a neural network operation, of a portion of a deep neural network model that is configured to receive input data, by using weighted least squares based on parameters corresponding to the generation of the approximate polynomial, a mean of the input data, and a standard deviation of the input data; and generate a homomorphic encrypted data operation result based on the input data and the approximate polynomial that approximates the neural network operation.

Abstract: An apparatus and method with encrypted data neural network operation is provided. The apparatus includes one or more processors configured to execute instructions and one or more memories storing the instructions, wherein the execution of the instructions by the one or more processors configures the one or more processors to generate a target approximate polynomial, approximating a neural network operation, of a portion of a neural network model, using a determined target approximation region, for the target approximate polynomial, based on a first approximate polynomial generated based on parameters corresponding to a generation of the first approximate polynomial, a maximum value of input data to the portion of the neural network layer, and a minimum value of the input data, and generate a neural network operation result using the target approximate polynomial and the input data.

Abstract: The present disclosure relates to a method of manufacturing a field effect transistor array by direct carbon nanotube printing and a field effect transistor array manufactured by the same. In addition, the method of manufacturing a field effect transistor array according to the present disclosure can implement deposition by adjusting a concentration of carbon nanotubes at a desired location on a substrate without limiting the substrate and very easily control a location by printing carbon nanotubes at an electrode gap location, and since the carbon nanotubes do not contact oxides of the substrate, lower noise to implement excellent sensitivity. In addition, the method of manufacturing a field effect transistor array according to the present disclosure can significantly reduce manufacturing costs and processing time by printing carbon nanotubes at a desired location without additional processes, and can be applied to various devices through a low-temperature process.

Abstract: The present disclosure provides a 3D object detection correction apparatus and method. The 3D object detection correction apparatus includes a processor configured to detect a 3D object based on image data. The processor is also configured to correct an error of the detected 3D object based on a difference value of camera information of a vehicle. The 3D object detection correction apparatus also includes a storage configured to store data and algorithms executable by the processor.

Abstract: Disclosed are an apparatus and a method for estimating a system state. Accordingly, it is possible to perform Resilient State Estimation (RSE) that is robust to disturbance and is autonomously restored from sensor attack/failure.

Abstract: The present disclosure relates to a system for installing a floor finishing material using an autonomous driving robot. According to the present disclosure, there is provided a system for installing a floor finishing material using autonomous driving including: a floor surface cleaning and adhesive application robot that cleans a floor surface and applies adhesive while moving with autonomous driving; a finishing material installation robot that installs the floor finishing material on an upper side of the adhesive surface; a finishing material loading robot that loads the floor finishing material loaded in an installation site, on a pallet; a finishing material transport robot that transports and delivers the loaded floor finishing material to the finishing material installation robot; and a 3D positioning device that sets a position thereof as an origin and recognizes positions of a plurality of active markers installed in a work site.

Abstract: Disclosed is a cyber-physical system for detecting a pole-dynamics attack, including an attack detector configured to receive a sensor signal output from a physical system and to output an attack detection signal based on the received sensor signal, and a mode controller configured to receive the sensor signal and to output an input control signal for controlling the physical system based on the received sensor signal, wherein the mode controller controls a normal control (NC) mode and an attack detection control (ADC) mode for detecting pole-dynamics attack (PDA) from an output to be repeatedly executed at a preset switching period.

Abstract: Provided is a mutant UDG having improved thermal sensitivity compared to a wild-type UDG. The mutant UDG of the presently claimed subject matter having a high thermal sensitivity has no inhibitory effect on the PCR reaction and thus can be advantageously used for the development of PCR/qPCR Premix and particularly PCR diagnostic kits employing UDG which requires the use of relatively low temperature in melting and amplification steps.

Abstract: The present invention relates to a surface acoustic wave-based material measuring device, material measuring system, and material measuring method, and more particularly, to a technique of accurately and reliably measuring various inherent physical properties of temperature and frequency-dependent materials by generating multiple resonant waves.

Abstract: Disclosed is a particle-measuring device, including: a measurement part including first and second electrodes and measuring a mass of particles with a change in signals transmitted and received between the first and second electrodes, wherein the first and second electrodes are patterned on a base made of a piezoelectric material and transmit/receive signals to/from each other; and an adsorption part provided in an adsorption region between the first and second electrodes and configured to adsorb fine particles according to a temperature change. According to such a configuration, the particle-measuring device does not interfere with the resonance rate of a piezoelectric material while having a high adsorption rate, thereby providing excellent particle measurement quality.

Abstract: Disclosed is a magnetic-piezoelectric micro robot capable of a hyperthermia treatment, an electrotherapy and a cell therapy. The magnetic-piezoelectric micro robot includes a body and a stimulus generating layer formed at a surface of the body including a magnetic particle and a piezoelectric particle and generating heat from the magnetic particle and generating an electrical stimulus from the piezoelectric particle by an external stimulus, wherein one of a hyperthermia treatment by the magnetic particle or an electrotherapy by the piezoelectric particle is performed or both are performed simultaneously.

Abstract: Provided are a magnetic actuation device using a permanent magnet which may generate a magnetic field for a long time with lower power and lower heat by using the permanent magnet, and a system using the same. The magnetic actuation device may utilize the plurality of permanent magnets for controlling an alignment direction with two degrees of freedom to thus exclude an actuation element limiting space utilization, such as a robot arm, thus allowing an operator using a medical device to perform a safe procedure on a patient.

Abstract: Provided is a magnetic actuation system controlling a magnetic microrobot, a magnetic actuation catheter, or a guide wire by using a magnetic field, and more particularly, a magnetic actuation system compatible with a C-arm that is applied to the C-arm, which is a mobile X-ray fluoroscopy device, in order to enable control of the microrobot or a catheter treatment in a human body by using the C-arm.

Abstract: Disclosed is a force sensor. More particularly, the force sensor includes a first permanent magnet layer; a magnetic tunnel junction disposed on the first permanent magnet layer and configured to have a preset resistance value; and a second permanent magnet layer disposed to be spaced apart from the magnetic tunnel junction, wherein the second permanent magnet layer moves in a direction of the first permanent magnet layer when pressure is applied from outside, the preset resistance value of the magnetic tunnel junction is changed when a magnetic field strength formed between the first permanent magnet layer and the second permanent magnet layer becomes a preset strength or more according to movement of the second permanent magnet layer, and the force sensor senses the pressure based on a change in the preset resistance value.

Abstract: An apparatus and method for data fusion between heterogeneous sensors are disclosed. The method for data fusion between the heterogeneous sensors may include identifying image data and point cloud data for a search area by each of a camera sensor and a LiDAR sensor that are calibrated using a marker board having a hole; recognizing a translation vector determined through calibrating of the camera sensor and the LiDAR sensor; and projecting the point cloud data of the LiDAR sensor onto the image data of the camera sensor using the recognized translation vector to fuse the identified image data and point cloud data.

Abstract: The present disclosure relates to the preparation of citrullinated vimentin antigen-specific immune tolerogenic dendritic cells and a composition for preventing or treating heart failure after myocardial infarction comprising the same. According to the present disclosure, it is confirmed that immune tolerogenic dendritic cells differentiated by treating immature dendritic cells with citrullinated vimentin regulate the expression of immune-related factors and have an excellent therapeutic effect on heart failure caused by myocardial infarction.

Abstract: An image processing method of the present disclosure may include receiving a scanned image, and processing the received image through an octave convolution-based neural network to output a high-quality image and an edge image for the received image. The octave convolution-based neural network may include a plurality of octave encoder blocks and a plurality of octave decoder blocks. Each octave encoder block may include an octave convolutional layer, and may be configured to output a high-frequency feature map and a low-frequency feature map for the image.

Abstract: Provided are a novel nickel foam having a hierarchical pore structure, a method of producing the same, and an application thereof. Unlike a conventional nickel foam, the nickel foam has a well-developed hierarchical pore structure including pores having a size of 4 ?m or less in addition to inherent macropores having a size of 100 ?m to 900 ?m, and thus, may have a significantly large specific surface area. Accordingly, the nickel foam may be variously applied to an electrochemical reaction such as a water electrolysis system and an exhaust gas purification filter.

Abstract: Disclosed are a drug evaluation method and apparatus. The drug evaluation method includes acquiring cell images in response to a drug to be evaluated, loading an image processing-based learning model trained so as to predict molar concentrations, outputting molar concentrations of cells corresponding to the cell images by applying the learning model to the acquired cell images, and calculating a drug evaluation value used to evaluate effects of the drug on the cells based on the molar concentrations of the cells corresponding to the cell images output through the learning model.