Electronics and Telecommunications Research Institute

Korea University Research and Business Foundation

Lg Energy Solution, Ltd.

Other

Lg Chem, Ltd

Pusan National University

Dong-Hyun Kim

Tae-Jin Lee

Se-Yoon Jeong

Jin-Soo Choi

Hyoung-Jin Kwon

Joo-Young Lee

Youn-Hee Kim

Jong-Ho Kim

Kyoung Heon Kim

Eun-Ju Yun

Ji-Hoon Do

Seoung-Jun Oh

Dong-Gyu Sim

Kyung-Min Lee

Sora Yu

Kown Son

Sang-Hyun Lee

Ki-Hyun Kim

Young-Jin Cho

Ki-Soo Lee

Seung-Jun Lee

Goan-Su Jung

Jong-Soo Lee

Yun-gu Lee

Yong-Su Jin

JunHwan Huh

Seung-hwan Kim

Heon-Yong Kwon

Seung-Don Choi

Seung Yun

Sang-Hun Kim

Seung-won Jung

Jin-Young Kim

Dong-Chun Lee

Soon-Chang Hong

Min-Hun Lee

Hak-In Kim

Won-Pill Hwang

Joon-Hee Cho

Hee-Chan Kim

Jee-Hoon Kim

Kwang-Hwan Kim

Han-Sol Choi

Ho-Chol Nam

Kyung-mun Cho

Sung-Ju Hong

Na Jeong Park

Jae-Min Lee

Seung-gyu Byeon

Jong-Deok Kim

Dong-Wook Kim

Seung-Su Cho

Jung Yeon Kim

Min-Kyu Lee

Tae-Kyeong Lee

Won-Seok Jeong

Hyoung-Suk Lee

Gi-Su Jeong

Ju-Hwan Shin

Mu-Yeol Choi

Dam-Heo Lee

Ji-Hyun Wang

Yong Su Jin

Yun-Gu Lee

Bo-Ra Jeon

Soo-Jeong Lee

Disclosed herein are a method, an apparatus, and a storage medium for image encoding/decoding using filtering. The image encoding method and the image decoding method perform classification on a classification unit of a target image, and perform filtering that uses a filter on the classification unit. A classification index of the classification unit is determined, and the classification index indicates a filter to be used for filtering on the classification unit, among multiple filters. The classification index is determined by various coding parameters, such as an encoding mode of the target block and an encoding mode of a neighboring block adjacent to the target block.

Method, apparatus and storage medium for image encoding/decoding using filtering

A battery rack with increased durability to prevent a rack case from being deformed or broken by external impacts during delivery. To achieve the above-described object, the battery rack includes a plurality of battery modules arranged in a first direction, at least one rack case including a plurality of rack frames configured to mount the plurality of battery modules, and at least one fixing frame including a body in the shape of a plate extending along the plurality of battery modules and a fixing portion formed on one surface of the body and configured to be attached and detached to/from each of the plurality of battery modules.

Battery rack having fixing frame and energy storage system

An encoding apparatus extracts features of an image by applying multiple padding operations and multiple downscaling operations to an image represented by data and transmits feature information indicating the features to a decoding apparatus. The multiple padding operations and the multiple downscaling operations are applied to the image in an order in which one padding operation is applied and thereafter one downscaling operation corresponding to the padding operation is applied. A decoding method receives feature information from an encoding apparatus, and generates a reconstructed image by applying multiple upscaling operations and multiple trimming operations to an image represented by the feature information. The multiple upscaling operations and the multiple trimming operations are applied to the image in an order in which one upscaling operation is applied and thereafter one trimming operation corresponding to the upscaling operation is applied.

Method, apparatus, and storage medium using padding/trimming in compression neural network

A battery rack includes a rack case, and a first battery module assembly and a second battery module assembly respectively including a plurality of battery modules stacked along an upper and lower direction of the rack case, and, inside the rack case, the plurality of battery modules of the second battery module assembly are arranged such that upper and lower portions thereof are inverted based on the arrangement of the plurality of battery modules of the first battery module assembly.

Battery rack and energy storage system including the same

There are provided a method, apparatus, system, and computer-readable recording medium for image compression. An encoding apparatus performs domain transformation and quantization on feature map information and image information. The encoding apparatus rearranges the result of domain transformation and quantization so as to have a form advantageous to the encoding procedure and encodes the result of rearrangement, thereby generating a bitstream. A decoding apparatus receives the bitstream, decodes the received bitstream, and performs inverse transformation, dequantization, and inverse rearrangement using information transmitted through the bitstream. The result of inverse transformation, dequantization, and inverse rearrangement is used for the machine-learning task of a neural network.

Method, apparatus, system and computer-readable recording medium for feature information

A battery rack includes a plurality of battery modules respectively having at least one battery cell, a rack case configured to accommodate the plurality of battery modules, and a separation bracket mounted at the rear of the rack case and configured to secure a predetermined separated space at the rear of the rack case.

Battery rack including bracket creating space between walls and rack case and power storage apparatus comprising same

Disclosed herein are a method, an apparatus, and a storage medium for image encoding/decoding. An intra-prediction mode for the target block is derived, and intra-prediction for the target block that uses the derived intra-prediction mode is performed. The intra-prediction mode for the target block is derived using an artificial neural network, and an MPM list for the target block is derived using information about the target block, pieces of information about blocks adjacent to the target block, and the artificial neural network. The artificial neural network outputs one or more available intra-prediction modes. Further, the artificial neural network outputs match probabilities for one or more candidate intra-prediction modes, and each of the match probabilities for the candidate intra-prediction modes indicates a probability that the corresponding candidate intra-prediction mode matches the intra-prediction mode for the target block.

Apparatus, method and storage medium for image encoding/decoding to perform intra prediction using artificial neutral network

There are provided an apparatus, method, system, and recording medium for performing selective encoding/decoding on feature information. An encoding apparatus generates residual feature information. The encoding apparatus transmits the residual feature information to a decoding apparatus through a residual feature map bitstream. The residual feature information is the difference between feature information extracted from an original image and feature information extracted from a reconstructed image. Feature information of the reconstructed image is generated using the reconstructed image. Reconstructed feature information is generated using the feature information of the reconstructed image and reconstructed residual feature information.

Disclosed herein are a method, an apparatus and a storage medium for image encoding/decoding using a binary mask. An encoding method includes generating a latent vector using an input image, generating a selected latent vector component set using a binary mask, and generating a main bitstream by performing entropy encoding on the selected latent vector component set. A decoding method includes generating a selected latent vector component set including one or more selected latent vector components by performing entropy decoding on a main bitstream and generating the latent vector in which the one or more selected latent vector components are relocated by relocating the selected latent vector component set in the latent vector.

Method, apparatus and storage medium for image encoding/decoding using binary mask

The present invention relates to a method for biologically producing, from seaweeds, 3,6-anhydro-L-galactitol (L-AHGol) which is a novel sugar alcohol, and agarobititol (ABol) which is in a disaccharide form having 3,6-anhydro-L-galactitol (L-AHGol) as a reducing end, by using a genetic engineering technique in GRAS strains.

Method for biologically producing sugar alcohol from agar

The present invention relates to a method for producing marine algae-derived agarotriose, and a use thereof as a prebiotic. More specifically, the present invention investigates the characteristics of agarotriose as a prebiotic which is selectively metabolized by probiotic microorganisms, thereby enabling agarotriose to be used as an anti-cancer or anti-inflammatory agent in the fields of food and pharmaceuticals, and enabling agarotriose to be obtained at high yield through efficient purification with minimal loss after enzymatic hydrolysis of a red algae-derived polysaccharide without pre-treatment.

Method for producing marine algae-derived agarotriose, and use thereof as prebiotic

Disclosed herein are a method, apparatus, system, and computer-readable recording medium for image compression. An encoding apparatus performs preprocessing of feature map information, frame packing, frame classification, and encoding. A decoding apparatus performs decoding, frame depacking, and postprocessing in order to reconstruct feature map information. By encoding the feature map information, inter-prediction and intra-block prediction for a frame are performed. The encoding apparatus provides the decoding apparatus with a feature map information bitstream for reconstructing the feature map information along with an image information bitstream.

Method, apparatus, system and computer-readable recording medium for feature map information

A battery management apparatus according to the present disclosure may include a sensing unit detachably mounted to a battery system and configured to measure a voltage of a cell assembly included in a battery pack, which is electrically connected to another battery pack in parallel, when being mounted to the battery system; a balancing circuit having a balancing resistor connected to a charging and discharging path of the cell assembly in parallel and a balancing switch for electrically connecting or disconnecting the cell assembly and the balancing resistor; and a processor operably coupled to the sensing unit and the balancing circuit.

Battery management apparatus and method

The present invention relates to a use of an agarobiose or agarooligosaccharides having anticariogenic activity. More specifically, a lower concentration of agarobiose or agarooligosaccharides than the concentration of xylitol suppresses the growth ofand suppresses acid production, and thus can be used for anti-cariogenic purposes.

Use of agarobiose or agarooligosaccharide having anticariogenic activity

Growing community of inventors

Daejeon, South Korea

Dong-Hyun Kim