Abstract: According to some exemplary embodiments of the present disclosure, disclosed is a method for building a vulnerability database, which is performed by a computing device. The method may include collecting a security patch from a data source based on a direct patch link; collecting the security patch from the data source based on an indirect patch link; and collecting the security patch from the data source based on an invisible patch link. The patch information of a vulnerability can be used for verifying the existence of the vulnerability, as well as fixing the vulnerability of target software.

Abstract: Disclosed is a split computing device operating in a serverless edge computing environment. The split computing device includes a transceiver configured to receive resource information of a terminal from the terminal and to measure a data transmission rate between the terminal and the split computing device in a process of receiving the resource information of the terminal; and a splitting point deriver configured to determine a splitting point of a deep neural network (DNN) model for split computing and an activation status of a container instance for each of tail models of a DNN corresponding to the respective splitting points using the resource information of the terminal, the data transmission rate, and resource information of the split computing device.

Abstract: The present invention relates to a chemical and biological integrated degradation process for PET, for recycling PET, and, more specifically, the present invention provides a PET upcycling technique for producing a high-value product via a chemical pretreatment process of PET, a TPA and EG production process using an enzyme, and a process for converting TPA and EG to PCA and GLA, respectively.

Abstract: The present invention pertains to: a self-priming and replicating hairpin adaptor for constructing an NGS (next generation sequencing) library; and a method for constructing an NGS library using the same. Specifically, the present invention pertains to: a self-priming and replicating hairpin adaptor for constructing an NGS library, the adaptor containing a long single-stranded first oligonucleotide that comprises a nucleotide sequence of SEQ ID NO: 4 and has a hairpin structure, and a short single-stranded second oligonucleotide that comprises a nucleotide sequence of SEQ ID NO: 5; a method for constructing an NGS library using said adaptor; and an NGS library construction kit including said adaptor.

Abstract: A handover method, performed by a source base station in a wireless communication system, includes: receiving an indicator indicating a start of packet duplication transmission of a user plane function (UPF); and transmitting at least one redundant packet to a target base station, based on the indicator indicating the start of the packet duplication transmission of the UPF, wherein the packet duplication transmission includes transmitting, to the target base station, a packet that is identical to a packet transmitted by the UPF to the source base station, wherein the redundant packet includes a packet that was received from the UPF before the start of the packet duplication transmission but is not transmitted to a User Equipment (UE) and stored.

Abstract: The present invention relates to a gingerol derivative having inhibitory activity against biofilm formation and a pharmaceutical composition for preventing or treating infections caused by biofilms including the gingerol derivative as an active ingredient. The gingerol derivative of the present invention exhibits significantly improved binding affinity for LasR and inhibitory activity against biofilm formation. Therefore, the gingerol derivative of the present invention can act on various membrane surfaces where biofilms tend to form and can effectively inhibit the formation of the corresponding biofilms. In addition, the use of the pharmaceutical composition according to the present invention can fundamentally prevent or treat a variety of infections caused by biofilms due to the presence of the gingerol derivative in the pharmaceutical composition.

Abstract: Provided is an apparatus and method for transmitter identification. A transmitter identification apparatus may include a communicator configured to receive a signal from a transmitter at least once; and a processor configured to acquire a clock offset using the received signal, to acquire a cumulative clock offset by accumulating the clock offset, and to acquire analysis data based on a variance of the cumulative clock offset over time.

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: 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: 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: 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: 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 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: 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: 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: 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: 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.