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: Disclosed are CSI transmission method and apparatus. A method of a terminal may comprise: receiving, from a base station, information on a measurement period for at least one channel state information-reference signal (CSI-RS) and a reporting period for transmitting at least one CSI; receiving the at least one CSI-RS during the measurement period; generating at least one measured CSI based on the at least one CSI-RS; generating at least one predicted CSI through a CSI prediction model based on the at least one CSI-RS and the at least one CSI; and transmitting the at least one measured CSI and the at least one predicted CSI to the base station.

Abstract: A domain adaptation procedure, such as fine-tuning training, is required to utilize a large-capacity PLM for a specific domain. Attempts in existing research have been made to improve performance of a PLM through domain adaptor technology based on an N-gram in order to reduce errors on the basis of the results of domain text error analysis of the PLM. Proposed is a method of selecting a semantic chunk through a domain semantic chunk graph and PageRank based on the existing domain adaptor research, with an N-gram as the semantic chunk. Proposed is also a method of domain-adapting a large-capacity PLM using semantic chunk dynamic weight masking, which reflects an output value of a PLM rather than simply integrating embedding values of semantic chunks, in a semantic chunk domain adaptor technology.

Abstract: Disclosed herein is a method for organizing and merging scene understanding information of an AI agent. The method includes acquiring an image of a first space, recognizing objects in the image, structuring information about the relationship between the object and information about the states of the objects in the form of a graph, and merging the structured information with information received from a nearby AI agent.

Abstract: An in-situ hydrophobically modified aramid nano aerogel fiber as well as a preparation method and uses thereof are provided. The preparation method includes: providing an aramid nano spinning solution; preparing a hydrophobically modified aramid nano aerogel fiber by using a spinning technology, wherein the coagulating bath adopted by the spinning technology includes a first organic solvent and a halogenated reagent including a monochloroalkane, a monochloroalkane, a dibromoalkane, a dichloroalkane and a trichloroalkane; and then drying to obtain the in-situ hydrophobically modified aramid nano aerogel fiber. The in-situ hydrophobically modified aramid nano aerogel fiber has a unique three-dimensional porous network structure, low heat conductivity, high porosity, high tensile strength and elongation at break, a certain spinnability and structure stability, and can be applied to the field of textiles. A fabric knitted with the hydrophobic fibers has a self-cleaning ability.

Abstract: Provided is a method for manufacturing a multilayer structure. The method for manufacturing the multilayer structure includes providing a substrate in a chamber, providing a target in the chamber, and allowing a target material to be incident into the substrate so as to form a material layer. The target includes magnesium oxide or beryllium oxide. An incident angle of the target material to the substrate is about 9.14° or less.

Abstract: The presently disclosed subject matter provides for antigen-recognizing receptors that specifically target CD33 and cells comprising such CD33-targeted antigen-recognizing receptors. The presently disclosed subject matter further provides uses of the CD33-targeted antigen-recognizing receptors for treatment.

Abstract: A method of a terminal may comprise: receiving augmentation assistance information from a base station; generating augmented channel data by applying the augmentation assistance information to original channel data; and training an artificial neural network using the augmented channel data.

Abstract: A device and a method for generating dynamic texture map for 3 dimensional digital human are disclosed. The method comprises generating high-quality images from low-quality images including a low-quality object; generating partial high-quality images including a high-quality object by replacing the low-quality object within the low-quality images with the high-quality object within the high-quality images; and generating a high-quality texture map for a 3D model corresponding to the high-quality object using the partial high-quality images.

Abstract: The present invention provides a cell detachment agent for detaching a cell to be separated from a separation carrier bound to the cell to be separated, wherein the above-mentioned cell detachment agent contains a bindable ureido group-containing polymer having a side chain structure represented by the following formula (1) and having a separation carrier-binding site capable of binding to the above-mentioned separation carrier at a side chain or terminal thereof, and the above-mentioned bindable ureido group-containing polymer has an upper critical solution temperature (UCST) of 4 to 40° C.

Abstract: An interpolation model learning method, a non-transitory computer-readable storage medium storing instructions allowing the method to be performed, and a device for learning an interpolation frame generating module are provided. The interpolation model learning method may include extracting, by using a neural network model, a temporal-spatial feature of each of a frame group including an interpolation frame generated by an interpolation model based on a neural network and a frame group including a ground truth (GT) frame corresponding to an interpolation frame and changing a weight and/or a bias of a neural network of an interpolation model to decrease a difference between temporal-spatial features.

Abstract: A detecting system and a diagnostic method applying the same are provided. The detecting system comprises a power module, a sensing module and a processing module. The sensing module electrically connected to the power module. The sensing module is configured to measure the impedance value of at least one signal terminal of the power module. The processing module electrically connected to the sensing module. The processing module is configured to receive the impedance value and determine whether the impedance value meets an abnormal threshold.

Abstract: A deodorant composition which can remove aldehydes more effectively than conventional aldehyde scavengers even after rinsing with water or washings is provided. A deodorant composition comprising a support having chemically bonded aminooxyalkyl groups and a binder resin.

Abstract: A solid-state electrolyte composition for a lithium battery. The composition includes a polymeric matrix material, inorganic nanoparticles dispersed in or chemically bonded with the polymeric matrix material, and a lithium salt. The nanoparticles are formed of a compound including lithium and a different semi-metal element or metal element. Exemplary inorganic nanoparticles include a Li-rich super ionic conductor having a LixMyPzSq structural formula, wherein M refers to the different semi-metal element or a metal element.

Abstract: A method and a device for coherent communication are disclosed. An operating method of a terminal comprises the steps of: receiving, from a first TRP, an RRC message including information indicating the performance of reception operations for the first TRP and a second TRP; performing the reception operations for the first TRP and the second TRP to receive a common DL-RS; and allowing communication with the first TRP and/or the second TRP on the basis of the common DL-RS, wherein the common DL-RS is co-transmitted in the first TRP and the second TRP.

Abstract: Disclosed herein are self-learning-based intrusion detection apparatus and method. The self-learning-based intrusion detection apparatus includes memory configured to store at least one program, and a processor configured to execute the program, wherein the program is configured to perform detecting an anomaly behavior in network traffic based on a first detection model, and as a self-learning event is published, generating a second detection model through self-learning in parallel with detecting the anomaly behavior, and wherein the program is configured to perform, as the second detection model is generated, in detecting the anomaly behavior, replacing the first detection model with the second detection model, and thereafter detecting the anomaly behavior in the network traffic.

Abstract: Disclosed herein are a prefetching device and method for an artificial intelligence processor. The prefetching method includes prefetching data, stored in external off-chip memory, into internal on-chip memory in the artificial intelligence processor, and storing information including an address value and a total amount of matrix operation data in at least one control and status register, as a kernel program is executed, extracting a matrix operation instruction among instructions provided from an instruction cache of the off-chip memory, determining whether prefetching is enabled based on a result of extracting the matrix operation instruction, as prefetching is enabled, determining a number of blocks to be prefetched based on the information stored in the at least one control and status register, and determining a bus burst value corresponding to the determined number of blocks and transmitting the bus burst value as a data request signal through a bus interface.

Abstract: A method of determining stability of a memory allocation code includes inputting, by a memory stability determination apparatus, a program to a classifier and detecting a custom memory allocation code, inserting, by the memory stability determination apparatus, a first function to increase a memory chunk to be allocated by a set size and allocate the memory chunk and a second function to poison an increased region with a garbage value, to a point preceding the custom memory allocation code, runtime executing, by the memory stability determination apparatus, a program into which the first function and the second function are inserted, to detect an access to a poisoned region poisoned with the garbage value, and determining, by the memory stability determination apparatus, that security of the custom memory allocation code is weak when the access to the poisoned region is true (1).

Abstract: A measuring method and system for body-shaped data are provided. The measuring method comprises: performing a feature extraction on an apparel image to obtain a plurality of apparel feature points by a feature positioning module; performing a contour extraction on the apparel image to obtain an apparel boundary by an image segmentation module; calculating at least one shift value of the apparel feature points relative to the apparel boundary based on the apparel feature points and the apparel boundary by a processing module; correcting at least one of the apparel feature points according to the at least one shift value by the processing module, and projecting the corrected at least one of the apparel feature points to a three-dimensional model and obtaining at least one body-shaped data according to the apparel feature points on the three-dimensional model by the processing module.

Abstract: Disclosed is an artificial intelligence (AI) operation system. The AI operation system includes a plurality of operators, and a host configured to merge nodes constituting a specific attention layer in a transformer model, pre-process specific matrix data among data of the merged node, distribute the preprocessed data and non-preprocessed data to the plurality of operators, and add and normalize operation results of the plurality of operators, wherein the plurality of operators perform a GEneral Matrix Matrix Multiplication (GEMM) operation in parallel using the distributed data.