Abstract: Provided are a method and an apparatus for operating a learning model. A method for operating a learning model according to one embodiment of the present disclosure comprises selecting at least one training data between previous training data and new training data and learning a previous learning model anew using the at least one selected training data.

Abstract: Provided are a method and an apparatus for measuring an object quantity using a 2D image. A method for measuring an object quantity using a 2D image according to one embodiment of the present disclosure comprises learning an object region model in a first object image which is a pre-learning target, learning an object quantity model for a first object region in the first object image using a feature map extracted from the first object image, and measuring an object quantity of at least one of a second object region and a background region in a second object image which is a measurement target using the learned object region model and object quantity model.

Abstract: Provided are a method and an apparatus for analyzing food using image captioning. A method for analyzing food using image captioning according to one embodiment of the present disclosure comprises generating image captioning data using food image features extracted from a food image; and generating a food name for the food image using the generated image captioning data.

Abstract: Provided are a method and an apparatus for identifying food using a multimodal model. A method for identifying food using a multimodal model according to one embodiment of the present disclosure comprises setting a plurality of food images belonging to different classes as pre-learning targets; pre-learning a multimodal model for each of the plurality of food images set as the pre-learning target so that a text feature paired with an image feature is more similar to the image feature than the other text features not paired with the image feature; and identifying food to be identified from input food images using the pre-learned multimodal model.

Abstract: Disclosed are a spinning dope for an aramid and carbon-nanotube composite fiber and a method of manufacturing an aramid and carbon-nanotube composite fiber using the same.

Abstract: The present invention discloses an encoding apparatus using a Discrete Cosine Transform (DCT) scanning, which includes a mode selection means for selecting an optimal mode for intra prediction; an intra prediction means for performing intra prediction onto video inputted based on the mode selected in the mode selection means; a DCT and quantization means for performing DCT and quantization onto residual coefficients of a block outputted from the intra prediction means; and an entropy encoding means for performing entropy encoding onto DCT coefficients acquired from the DCT and quantization by using a scanning mode decided based on pixel similarity of the residual coefficients.

Abstract: The present invention relates to a pharmaceutical composition for diagnosing and treating prostate cancer, capable of targeting PSMA, and a compound provided by one aspect of the present invention has a glutamine-urea-lysine compound to which a radioactive metal-coupled chelator is structurally coupled and to which an aryl group that can additionally bind to PSMA protein is coupled. Coupling between the glutamine-urea-lysine compound and the chelator includes a polar spacer so as to serve the role of reducing in vivo nonspecific coupling and exhibit an effect of being rapidly removed from vital organs, but not from prostate cancer. These characteristics lower the radiation exposure, which is caused by a therapeutic radioisotope-coupled compound, to normal tissue and organs, and thus reduce side effects. In addition, a compound that contains a phenyl group having a coupling force with albumin has an increased residence time in the blood, thereby becoming more accumulated in prostate cancer.

Abstract: The present invention relates to a method for manufacturing carbon composite fibers and carbon nanofibers, and more particularly, to a method for manufacturing carbon composite fiber with greatly improved specific tensile strength, specific modulus, electrical conductivity, and thermal conductivity.

Abstract: Disclosed are a spinning dope for an aramid and carbon-nanotube composite fiber and a method of manufacturing an aramid and carbon-nanotube composite fiber using the same.

Abstract: The present disclosure relates to a carbon nanotube fiber having improved physical properties and a method for manufacturing the same. The method according to the present disclosure comprises the steps of: spinning carbon nanotubes with a purity of 90% by weight or more to obtain a first carbon nanotube fiber; and heat-treating the first carbon nanotube fiber at 500 to 3,000° C. under an inert gas atmosphere to obtain a second carbon nanotube fiber, wherein the second carbon nanotube fiber has a density of 1.0 to 2.5 g/cm3.

Abstract: Aramids and nanostructures formed from the aramids are described.