Abstract: An imaging system according to an embodiment may include an ultrasonic oscillation part configured to apply ultrasonic waves to a sample, an image acquisition part configured to acquire a plurality of images of the sample deformed by the ultrasonic waves, and a computation part configured to compute a deformation rate on the basis of a change in thickness of the sample from the plurality of images, in which the computation part computes an elastic modulus of the sample on the basis of intensity of the ultrasonic waves and the deformation rate of the sample.

Abstract: An electrode catalyst is configured such that non-noble metal particles, noble metal particles or nitride-doped noble metal particles are supported on a carbon support, wherein the carbon support has a 2D planar crystal structure or a 3D polyhedral crystal structure and is doped with nitrogen, thereby exhibiting increased catalytic activity.

Abstract: Disclosed is an apparatus for estimating disturbance flowing into a control system on the basis of input/output data. The apparatus includes an input unit, and an estimator configured to, when input data (u) is provided to the control system through the input unit and thus output data is acquired, estimate the input data (u) from the acquired output data, based on a system model matrix corresponding to an input/output relation model of the control system. Accordingly, efficiency of the apparatus may be improved.

Abstract: Provided are a composite and a membrane electrode assembly including active metal particles and sacrificial metal particles, and a fuel cell including the same. The composite according to the present invention includes active metal particles and sacrificial metal particles independently supported on a carbon support, it can suppress the deterioration of the active metal and have significantly improved durability while maintaining excellent activity of the catalyst. The membrane electrode assembly according to the present invention can have excellent catalytic activity and significantly improved durability for the same reasons as the above-described composite.

Abstract: According to an embodiment, provided are a method and an apparatus for monitoring an unmanned ground vehicle (UGV), for detecting a failure of a UGV actuator in consideration of terrain information. Accordingly, the accuracy of detecting a failure of the UGV is improved.

Abstract: A processor includes a processing core configured to process each of a plurality of requests by accessing a corresponding one of a first memory and a second memory, a latency monitor configured to generate first latency information and second latency information, the first latency information comprising a first access latency to the first memory, and the second latency information comprising a second access latency to the second memory, a plurality of cache ways divided into a first partition and a second partition, and a decision engine configured to allocate each of the plurality of cache ways to one of the first partition and the second partition, based on the first latency information and the second latency information.

Abstract: A matrix data processing method performed by a computing device which performs a matrix multiplication operation includes, with respect to each of one or more elements included in a matrix, when a value of each element satisfies a designated condition, determining the element to be a don't-care element and determining an output value of the don't-care element, generating a bitstream based on the output value of the don't-care element and index values of valid elements included in the matrix, and equally dividing the bitstream into pieces of a designated number, and generating a Huffman code corresponding to each of a plurality of lower bitstreams that are generated as a result of the equal division.

Abstract: A neurotransmitter concentration measuring apparatus includes a data collecting unit configured to collect fast-scan cyclic voltammetry (FSCV) data where capacitive charging current is included in faradaic current varying depending on injection concentration for each of multiple neurotransmitters, a data processing unit configured to process the FSCV data as second-derivative-based background removal (SDBR) data in a faradaic current form where the charging current is excluded, based on a second derivative for voltage of an individual voltammogram generated for each scan by background subtraction in the FSCV data, a deep learning processing unit configured to build a deep learning model that simultaneously estimates the concentration of the multiple neurotransmitters by learning the SDBR data with a deep learning network and a measurement result providing unit configured to simultaneously provide concentration measurement results of a neurotransmitter varying depending on real-time injection for each of the m

Abstract: The present invention relates to a successive approximation register (SAR) analog-to-digital converter and the SAR analog-to-digital converter according to an example embodiment includes an input unit including at least one SAR capacitor; a recycling integrator connected to the input unit and including k integration capacitors configured to store the respective residue information generated in an integration process performed k times, respectively, (where k denotes a positive integer of 2 or more) using a single amplifier; a comparator connected to an output terminal of the recycling integrator; and a SAR controller connected to an output terminal of the comparator and configured to generate a digital signal corresponding to output of the comparator.

Abstract: The present invention relates to a current-to-digital converter and the current-to-digital converter according to an example embodiment includes an integrator connected to a current source that outputs input current; a quantizer connected to the integrator and configured to generate a first digital output code corresponding to alternating current (AC) in the input current; a first loop circuit formed on a delta-sigma (??) loop that connects an input terminal of the integrator and an output terminal of the quantizer; a second loop circuit formed on a truncation-noise-shaped baseline-servo (TNS-BS) loop that connects the input terminal of the integrator and the output terminal of the quantizer and configured to generate a second digital output code corresponding to direct current (DC) in the input current; and an adder configured to generate a final digital output code by adding the first digital output code and the second digital output code.

Abstract: The present invention relates to a composite solid electrolyte comprising zeolite and a fluorine-based lithium salt, and a lithium secondary battery using same. In the composite solid electrolyte according to the present invention, the formation of lithium dendrites is dramatically reduced by optimizing the concentration of fluorine-based lithium salt in a composite solid electrolyte containing zeolite, thus making it possible to achieve a composite solid electrolyte and a lithium secondary battery comprising same in which very good electrochemical characteristics are exhibited even after long-term charging and discharging.

Abstract: An apparatus with a neural network operation of homomorphic encrypted data includes: one or more processors configured to: generate homomorphic conjugation data of encrypted data based on the encrypted data, wherein the encrypted data corresponds to an output of each of a plurality of layers included in a neural network; and remove noise of the encrypted data based on the encrypted data and the homomorphic conjugation data.

Abstract: The present invention relates to a device for measuring grip strength including a basis; a cover coupled to the basis to form an enclosed pressure space separated from the outside; a cap disposed between the basis and the cover and configured to form a sensing space separated from the pressure space; magnets mounted on the cap or the basis to form a magnetic field; and a magnetic sensor for detecting change in the magnetic field. With this configuration, when measuring the grip strength of the user's hand, accuracy or sensitivity may be increased.

Abstract: The present invention relates to a pharmaceutical composition which is for preventing or treating obesity, and comprises a biglycan as an active ingredient. Biglycan according to the present invention suppresses appetite by decreasing the expression of Agrp and NPY, which are appetite promoting peptides, and increasing the expression of POMC, which is an appetite suppressing peptide, and thus is very useful as a medicine for treating obesity.

Abstract: Provided is a cellulose derivative composition for a secondary battery binder, a method of preparing a composition for a secondary battery electrode, including the same, and a secondary battery including the same. According to the inventive concept, the cellulose derivative composition for a secondary battery binder may include a compound represented by Formula 1 below.

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 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: 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: 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.