Abstract: Disclosed is a computing-in-memory device, which includes a memory cell array including an analog multiplication unit that performs a multiply-accumulate (MAC) operation on a pre-stored weight and a first analog voltage corresponding to multi-bit input data, and a driver that applies the multi-bit input data to the analog multiplication unit, and the analog multiplication unit includes a digital-to-analog converter that converts the multi-bit input data into the first analog voltage.

Abstract: The present disclosure relates to a composition for preventing or treating fibrosis including an inhibitor of cyclin-dependent kinase 17 (CDK17) expression or activity. According to the present disclosure, the inhibitor of CDK17 expression or activity significantly reduces collagen production and cell activity and viability in activated hepatic stellate cells (liver fibrosis cell model), renal tubular epithelial cells (renal fibrosis cell model) in which fibrosis is induced by TGF-? treatment, and alveolar epithelial cells (lung fibrosis cell model) in which fibrosis is induced by TGF-? treatment, indicating that the composition of the present disclosure has an excellent effect in preventing or treating fibrosis.

Abstract: A magnetic transfer apparatus includes: a magnetomotive force source providing magnetic flux, a first magnetic flux distribution circuit connected to one end of the magnetomotive force source, having a single input terminal and a plurality of output terminals, and distributing the magnetic flux, and a second magnetic flux distribution circuit connected to the other end of the magnetomotive force source, having a single output terminal and a plurality of input terminals, and collecting the distributed magnetic flux. The output terminals of the first magnetic flux distribution circuit are disposed to be adjacent to each other to form a pair with the input terminals of the second magnetic flux distribution circuit.

Abstract: Provided are a method and a device, for processing spectrum data of an image sensor. The method includes obtaining spectrum response signals corresponding to channels of spectrum data of light, the spectrum data being obtained from an object by an image sensor; determining a set of bases corresponding to the obtained spectrum response signals; performing, based on the determined set of bases, a change of basis on at least one basis included in the determined set of bases; and generating, by using a pseudo inverse, reconstructed spectrum data from the spectrum response signals on which the change of basis has been performed.

Abstract: Disclosed is a system for improving the detection performance of objects of interest in blurry images. According to an embodiment of the disclosed system for improving the detection performance of objects of interest in blurry images, the system includes a teacher network including a first base subnet, a first feature pyramid subnet and a first detection subnet; and a student network including a second base subnet, a second feature pyramid subnet, a deblurring subnet and a second detection subnet, wherein the teacher network provides hints to the student network.

Abstract: The method for converting a near-infrared image into an RGB image includes: (a) receiving near-infrared image data to be converted into an RGB image and inputting the received data to the first network; (b) extracting, by the first network, feature data of a near-infrared image from the input near-infrared image data; and (c) outputting, by the first network, an estimated RGB image, which enables to convert the received near-infrared image data into an RGB image, using the extracted feature data of the near-infrared image, wherein the first network performs knowledge distillation learning by receiving knowledge, which enables to mimic the behavior of extracting the feature data of the near-infrared image and the feature data of the RGB image, from the second network which has received as input data not only near-infrared image data as learning data but also RGB image data taken at the same time as the near-infrared image.

Abstract: Disclosed are a zero-power detecting sensor of a chemical substance and a sensing method. As light is irradiated to the detecting sensor including a graphene, a light absorbing layer, and an electrode stacked, the chemical substance is detected without power.

Abstract: The present invention relates to a method of inhibiting, delaying, or reversing cellular senescence that includes having an isolated cell flow through a microchannel, and crashing the cell in flow into an impact surface installed on a flow path of the cell to apply a physical impact to the cell, resulting in inhibiting, delaying, or reversing senescence of the cell, while maintaining high biological activity, and in particular, it relates to a method that can further increase the value of a stem cell as a therapeutic cell for various degenerative diseases by maintaining undifferentiated state of the stem cell even during a long-term culture period to maintain multipotency, and to the cells obtained by the method.

Abstract: Disclosed are a method of training a spiking neural network computation based on a temporal coding and a system thereof. The method includes a kernel generation operation of generating a kernel computation for a log computation, a conversion recognition learning operation of converting a spike timestep using the kernel computation and one or more activation functions, a PSP computation operation of computing a sum of postsynaptic potentials (PSPs) using the converted spike timestep, and an SNN learning operation, by a spiking neural network (SNN) model, of training data using a membrane potential value depending on the sum.

Abstract: A Virtual Reality (VR) glove and a VR system are disclosed. The VR glove includes a glove body and a detector, the detector includes a housing having an accommodation space therein, a piezoelectric member having a first side fixed at a first side in the accommodation space, and a wire connected to the piezoelectric member and extending through a hole provided at a second side of the housing, and the wire is attached to any one finger of a plurality of fingers included in the glove body.

Abstract: Disclosed are a spiking neural network training method based the conversion aware training and a system thereof. The spiking neural network training method includes an ANN generation operation of generating an analog artificial neural network (ANN) model and inputting variable data, a conversion aware training operation of simulating a spiking neural network (SNN) model by using one or more activation functions with respect to the analog ANN model, and an SNN generation operation of generating the SNN model by correcting parameters and weights of layers based on a result of the simulation.

Abstract: The quantum dot comprises a ligand which is a copolymer comprising a first repeating unit comprising at least one or more hole transporting functional groups and a second repeating unit comprising at least one or more photocrosslinking functional groups.

Abstract: Provided is a device for acquiring a magnetic resonance image signal includes a plurality of top-hat dipole antennas having a length and an operating frequency which are adjustable depending on an image region and an antenna circuit module to adjust the operating frequency. The top-hat dipole antenna includes a pair of antenna leg parts linearly arranged while being spaced apart from each other, and a pair of top-hat parts provided at opposite distal ends of the antenna leg part to increase a current at the distal end of the antenna leg part by increasing a capacitance.

Abstract: An earthquake event classification method using an attention-based neural network includes: preprocessing input earthquake data by centering; extracting a feature map by nonlinearly converting the preprocessed earthquake data through a plurality of convolution layers having three or more layers; measuring importance of a learned feature of the nonlinear-converted earthquake data based on an attention technique in which interdependence of channels of the feature map is modeled; correcting a feature value of the measured importance value through element-wise multiply with the learned feature map; performing down-sampling through max-pooling based on the feature value; and classifying an earthquake event by regularizing the down-sampled feature value. Accordingly, main core features inherent in many/complex data are extracted through attention-based deep learning to overcome the limitations of the existing micro earthquake detection technology, thereby enabling earthquake detection even in low SNR environments.

Abstract: The present invention relates to a quantum multi-agent meta reinforcement learning apparatus, which receives at least one observation value from different single-hop offloading environments, and the apparatus includes: a state encoding unit for calculating an angle along each axis by encoding the at least one observation value, and converting the angle along each axis into a quantum state; a quantum circuit unit for learning the angle along each axis, and overlapping the learned base layer using a controlled X (CX) gate; and a measurement unit for learning the overlapped base layer and measuring an axis parameter. Through the apparatus, the non-stationarity characteristic and credit-assignment problem of the conventional multi-agent reinforcement learning can be solved.

Abstract: A method and device for a surgical guide using augmented reality (AR) is disclosed. The surgical guide method using AR includes obtaining an image showing a surgery subject by using a camera of a wearable device worn by a user, recognizing a marker predefined in the image, determining expression attribute information of a three-dimensional (3D) image model to be projected onto the surgery subject based on the recognized marker, and displaying the 3D image model through the wearable device by projecting the 3D image model onto the surgery subject, based on the determined expression attribute information.

Abstract: The present disclosure provides a new concept of fusion imaging device for simultaneously providing anatomical information and functional/biochemical information of human bodies, to accurately localize lesions in the pre-operative process and measure in real time, thereby ensuring the stability of patients with lower radiation doses than the existing fusion imaging devices such as positron emission tomography (PET)/computed tomography (CT) and single photon emission computed tomography (SPECT)/CT, and includes: a transducer to transmit and receive an ultrasound; a matching layer positioned on top of the transducer to reduce a difference in acoustic resistance between the transducer and an affected part, to support an ultrasound beam to be smoothly transmitted into tissues and a reflected beam to be received with high sensitivity; a backing member to absorb the ultrasound on an opposite side of the affected part with respect to the transducer; and a scintillator to detect gamma rays which are radiation, wherei

Abstract: The present invention relates to a method for fabricating microparticles by using a degassed gas-permeable micro-mold and discontinuous dewetting. The method for fabricating microparticles according to the present invention comprises the steps of: depressurizing and degassing a porous micro-mold including a plurality of micro-wells concavely recessed in a predetermined shape and size from one surface thereof (S100); loading a microparticle precursor solution on which the micro-wells are formed, and covering the microparticle precursor solution with a cover substrate (S200); moving the to cover substrate to the side (S300); and curing the microparticle precursor solution filled in the micro-wells, thereby synthesizing microparticles (S400).

Abstract: Disclosed is a method of obfuscating a Controller Area Network (CAN) message performed by a first computing device including a processor, the method including: obtaining a first index from a first input value corresponding to a first time point by using an index output algorithm; determining a first CAN ID of the first computing device corresponding to the first index based on a predetermined CAN ID table; and generating a first normal CAN message including the first CAN ID and first normal data.

Abstract: Provided are a spectral camera and an electronic apparatus including the same. The spectral camera includes an image sensor including a plurality of channels configured to detect a plurality of central wavelengths; an optical module configured to be movable with respect to the image sensor to provide an image of an object on the image sensor; a memory configured to store first information about a change in an optical characteristic of each of the plurality of channels in the image sensor, the change in the optical characteristic of each of the plurality of channels corresponding to a movement of the optical module; and a processor configured to: obtain the first information from the memory, obtain second information corresponding to the plurality of central wavelengths detected by the image sensor, and obtain third information by correcting the second information based on the first information.