Electronics and Telecommunications Research Institute

Korea Institute of Oriental Medicine

Korea Research Institute of Chemical Technology

Innisfree Corporation

Sungkyunkwan University

Sk Gas Co., Ltd.

Kocat Inc.

Mi Young Lee

Joo Hyun Lee

Byung Jo Kim

Ju-Yeob Kim

Jin Kyu Kim

Seong Min Kim

Young Hwa Kim

Yu Ri Kim

Bo-Kyung Park

Min-Hyung Cho

Kyu Yang Yi

Ki Hyuk Park

Young-deuk Jeon

Han Jin Cho

Byung Ho Lee

Jeong Hyun Lee

Ho Won Seo

Nack Jeong Kim

Kwang-Seok Oh

Sung Jin Hur

Myung Cheol Lee

Junyoung Choi

Chae Jo Lim

Soo Hee Kim

Ju Hee Lee

Yong Ju Lee

Jung Ho Kim

Jong Dae Kim

Jin Sung Kim

Bon Tae Koo

Seong Mo Park

Hun Soon Lee

Myung Joon Kim

Deuk Soo Park

Chang Soo Kim

Min Young Chung

In San Jeon

Ung Gi Hong

Young Hwan Bae

Seung Chul Kim

Sueng Jae Bae

Jong Ho Won

Choon Seo Park

Won Jong Kim

Jin Hwan Jeong

Wan Seok Kim

June Young Chang

Goya Choi

Dae Young Hur

Mai Hai Thanh

Sungwook Chae

Ju Yeob Kim

Hwa-Jung Choi

Jae-Hyoung Song

Young Min Kwon

Kyoung Hyun Park

Chang Hee Yang

Sung Uk Chae

Guee Sang Lee

Ok Ja Cho

Dong Hyun Seo

Dae Young Her

A Rang Im

Sung Wook Chae

The present invention provides a compound having a specific chemical structure and having PDE9A inhibitory activity, or a pharmaceutically acceptable salt thereof. The present invention provides a composition containing the compound or a pharmaceutically acceptable salt thereof. The present invention provides a pharmaceutical use, for treating or preventing PDE9A-related diseases, of the compound according to the present invention, a salt thereof, and a composition containing the compound or salt. The present invention also provides a method for treating or preventing PDE9A-related diseases, the method comprising administering an effective amount of the compound according to the present invention, a salt thereof, or a composition containing the compound or salt to a subject in need of treatment.

Compounds having PDE9A inhibitory activity, and pharmaceutical uses thereof

A method for treating sleep disturbance according to an embodiment of the present disclosure includes administering to a subject in need thereof a composition including saponarin of Chemical Formula 1, a salt thereof acceptable for use in food, or a hydrate thereof as an effective component: In an animal model with lack of sleep caused by caffeine, saponarin of the present invention restores the travel distance, mobility time, mobility frequency, and immobility time to normal as well as increases the mRNA expression of neuropeptide Y, cholecystokinin, and GABA A α1 receptor, thereby alleviating sleep disturbance. Therefore, the saponarin of the present invention can be advantageously used as a raw material for a functional health food or a pharmaceutical product for preventing, alleviating, or treating sleep disturbance.

Composition for preventing, ameliorating, or treating sleep disturbance comprising flavonoid compound as effective component

A method for treating a sleep disorder according to an embodiment of the present disclosure includes administering a composition comprising an extract ofas an effective ingredient to a subject in need thereof. Because theextract of the present invention has an effect of improving sleep time deteriorated by stress, and an effect of reducing the content of corticosterone, which increases due to stress, and increasing the content of serotonin in blood. In addition, the composition has an effect of enhancing in a significant sense the expression of GABAR A &#x3b1;1 in cerebral cortex, which decreases due to stress, in a group administered withextract. As such, the composition comprisingextract as an effective ingredient as an effective ingredient can be advantageously used as a functional health food composition or a pharmaceutical composition for preventing, ameliorating or treating sleeping disorders.

Composition for preventing, ameliorating or treating sleep disorders comprising medicinal herb extract as effective ingredient

Provided is a method of operating a neural network computing device that is configured to communicate with an external memory device and execute a plurality of layers. The method includes computing a first input address, based on first layer information of a first layer among the plurality of layers and a first memory management table, and updating the first memory management table to generate a second memory management table, reading first input data to be input to the first layer from the external memory device, based on the computed first input address, computing a first output address, based on the first layer information and the second memory management table, and updating the second memory management table to generate a third memory management table, and storing first output data output from the first layer, based on the first output address, in the external memory device.

Information processing apparatus and method of operating neural network computing device therein

The neuromorphic arithmetic device comprises an input monitoring circuit that outputs a monitoring result by monitoring that first bits of at least one first digit of a plurality of feature data and a plurality of weight data are all zeros, a partial sum data generator that skips an arithmetic operation that generates a first partial sum data corresponding to the first bits of a plurality of partial sum data in response to the monitoring result while performing the arithmetic operation of generating the plurality of partial sum data, based on the plurality of feature data and the plurality of weight data, and a shift adder that generates the first partial sum data with a zero value and result data, based on second partial sum data except for the first partial sum data among the plurality of partial sum data and the first partial sum data generated with the zero value.

Neuromorphic arithmetic device and operating method thereof

An artificial neural network apparatus and an operating method including a plurality of layer processors for performing operations on input data are disclosed. The artificial neural network apparatus may include: a flag layer processor for outputting a flag according to a comparison result between a pooling output value of a current frame and a pooling output value of a previous frame; and a controller for stopping operation of a layer processor which performs operations after the flag layer processor among the plurality of layer processors when the flag is outputted from the flag layer processor, wherein the flag layer processor is a layer processor that performs a pooling operation first among the plurality of layer processors.

Artificial neural network apparatus and operating method for the same

Provided is a method for using selective non-catalytic reduction to reduce nitrogen dioxide in exhaust gas generated during an olefin production process. Nitrogen dioxide generated in a catalyst regeneration step of a continuous PDH process can be efficiently removed by the method of the present disclosure. Ultimately, the generation of visible fumes can be prevented through the removal of nitrogen dioxide.

Method for reducing nitrogen dioxide in exhaust gas generated during olefin production process

An embodiment of the present invention provides a quantization method for weights of a plurality of batch normalization layers, including: receiving a plurality of previously learned first weights of the plurality of batch normalization layers; obtaining first distribution information of the plurality of first weights; performing a first quantization on the plurality of first weights using the first distribution information to obtain a plurality of second weights; obtaining second distribution information of the plurality of second weights; and performing a second quantization on the plurality of second weights using the second distribution information to obtain a plurality of final weights, and thereby reducing an error that may occur when quantizing the weight of the batch normalization layer.

Quantization method and device for weights of batch normalization layer

Provided is an image recognition device. The image recognition device includes a frame data change detector that sequentially receives a plurality of frame data and detects a difference between two consecutive frame data, an ensemble section controller that sets an ensemble section in the plurality of frame data, based on the detected difference, an image recognizer that sequentially identifies classes respectively corresponding to a plurality of section frame data by applying different neural network classifiers to the plurality of section frame data in the ensemble section, and a recognition result classifier that sequentially identifies ensemble classes respectively corresponding to the plurality of section frame data by combining the classes in the ensemble section.

Image recognition device, operating method of image recognition device, and computing device including image recognition device

A method for preventing or treating at least one of depression and anxiety disorder according to an embodiment of the present invention includes administering to a subject in need thereof a composition having an extract ofas an effective ingredient. By having an effect of improving depressive behavior and low physical activity shown in an animal model with induced anxiety and depression, reducing the level of cortisol, increasing the level of serotonin, and also increasing the expression amount of pCERB, BDNF, and mBDNF proteins in hippocampal tissues, the compositions can be advantageously used for developing a functional health food product or a pharmaceutical product for ameliorating or treating the depression and anxiety disorder.

Composition for ameliorating, or treating depression and anxiety disorder comprisingextract as effective ingredient

A method for controlling a memory from which data is transferred to a neural network processor and an apparatus thereof are provided, the method including: generating prefetch information of data by using a blob descriptor and a reference prediction table after history information is input; reading the data in the memory based on the pre-fetch information and temporarily archiving read data in a prefetch buffer; and accessing next data in the memory based on the prefetch information and temporarily archiving the next data in the prefetch buffer after the data is transferred to the neural network from the prefetch buffer.

Method and apparatus for controlling memory using prefetch information

Provided is a convolutional neural network system including a data selector configured to output an input value corresponding to a position of a sparse weight from among input values of input data on a basis of a sparse index indicating the position of a nonzero value in a sparse weight kernel, and a multiply-accumulate (MAC) computator configured to perform a convolution computation on the input value output from the data selector by using the sparse weight kernel.

Convolutional neural network system and operation method thereof

Provided are a method and apparatus for processing a data stream capable of providing a data flow processing language to support real-time processing of an exploding data stream and providing an environment for executing the data flow processing language in a cluster system. The data flow-based exploding data stream processing method includes receiving a big data real-time processing service described in a real-time data flow language, interpreting the big data real-time processing service to generate a distributed stream processing service, and distributively deploying the distributed stream processing service in a cluster system including multiple nodes and configuring an execution environment for executing the distributed stream processing service in each node.

Method and apparatus for processing exploding data stream

Disclosed are a system and a method for address translation for a flash memory device, and particularly, disclosed is a technology that is capable of efficiently performing address translation between a logical address provided to the outside of a flash memory and a physical address of an actual flash memory in managing the flash memory device. The system includes: a flash memory system writing a corresponding data page by allocating a physical address space when there is a request for writing a data page from storage clients, and performing address translation between a physical address and a logical address; and a logical address space formed between the flash memory system and the storage client to provide the logical address.

System and method for efficient address translation of flash memory device

Growing community of inventors

Daejeon, South Korea

Mi Young Lee