Samsung Electronics Co., Ltd.

Samsung Display Co., Ltd.

Samsung Sds Co., Ltd.

Sk Chemicals Co., Ltd.

Korea Institute of Geoscience and Mineral Resources

Siltron, Inc.

Electronics and Telecommunications Research Institute

Lg Chem, Ltd

Samsung Sdi Co., Inc.

Samsung Electro-mechanics Co., Ltd.

Seoul National University

Kt Corporation

Industry-university Cooperation Foundation Hanyang University

Korea University Industrial Academic Collaboration Foundation

The Industry & Academic Cooperation in Chungnam National University (iac)

Ji-Hoon Kim

Seong-Taek Hwang

Ki-Chul Shin

Kwang-Hyun Kim

Young-Joon Choi

Sang-Ho Kim

Jung-Won Kang

Seung-Hee Lee

Dong-Hyun Lee

Jung-Hoon Kim

Ji-Yoon Lee

Min-sang Kim

Do-Hyeon Kim

Nam-Soo Kang

Seung-Pyo Hong

Hyun-Soo Kim

Seung-Hwan Moon

Sang-Wook Oh

Back-Won Lee

Walter Jun

Yun-Je Oh

Hee-Won Jung

Sung-Wook Park

Jae-Hoon Lee

Dae Won Kim

Dong-Hyuk Lee

Jong-Woo Kim

Dong-wook Kim

Ki-Won Kim

Jae-woo Chung

Jung Woo Lee

Dong Kyue Kim

JongPal Kim

Min-Koo Han

Kun-soo Shin

Jungwoo Lee

Youn-ho Kim

Mu-sik Kwon

Young-Hwan Kim

Dong-Uk Kim

Inkyu Lee

Ji-Hoon Lee

Jong-Hyun Shin

Ho-Chul Hwang

Woo-young Jang

Sun-Kyu Son

Byoung-Hee Lee

Se-Hwan Park

Youngsuk Kim

Jong-In Lee

Seung Beom Park

Yi-Sak Park

Dong-Chang Lee

Kwang Sei Oh

Jong-Won Choi

Hee-wook Do

Il-Hoon Cha

Si-Hyoung Lee

Ho-Jun Lee

Won-Suk Chang

So-Young Shin

Yong-Jin Kim

Doo-Soo Kim

Jung-Rim Kim

Ho-Young Jung

Jae Eun Kim

Sang-Gu Lee

Sang-Jae Kim

Dong-Kun Lee

Sung-Tae Choi

Jae-Il Seo

Kyung-Eun Lee

Sung-Min Kang

Jae-Woong Lee

Chang-Hyun Sung

Gilchoun Yeom

Jong-keun Song

Hee-bum Ahn

Dong-Wook Kwon

Sin-Gu Kang

Hee Wook Do

Hyung-sok Yeo

Kye-Si Kwon

Duck Jong Suh

Dong-Ik Lee

Gyu-Su Lee

Sang-kon Bae

Hwa-sun Lee

Boo-Kan Ki

Hyeoncheol Jeong

Jheen-Hyeok Park

Dong-wook Kwon

Dong-hoon Baek

Sanggu Lee

Seok-Gyu Lee

Kijae Kim

In-Yong Hwang

Cheol-Hee Kim

Ju-Ho Son

Provided is a meta information extraction device of an object for artificial intelligence art psychological test and an art psychological analysis system and method using the same. The meta information extraction device extracts an object and meta information of the object from picture data by means of training of an artificial intelligence model, and analyzes picture data of a user who is a test taker with a combination of meta information to analyze a psychological state of the user. A meta information extraction device of an object for an artificial intelligence art psychological test according to the present disclosure may include, a user interface for providing an interactive environment to a user who is a test taker, a first feature extraction unit which is trained by an artificial intelligence model to extract the object from picture data generated on a screen using an object selected by the user through the user interface, a second feature extraction unit which is trained by an artificial intelligence model to extract meta information of an object extracted by the first feature extraction unit, and a library which stores the object extracted by the first feature extraction unit and the meta information extracted by the second feature extraction unit.

Meta information extraction device of object for artificial intelligence art psychological test and art psychological analysis system and method using the same

A storage controller receives a first transmission preset value and a first coefficient value at a first time from outside, at a phase 3 stage of a PCIe link training and equalization, checks whether the first transmission preset value and the first coefficient value are optimal with reference to a database, transmits signals corresponding to the first transmission preset value and the first coefficient value to the outside when the first transmission preset value and the first coefficient value are determined to be optimal and transmits signals corresponding to a second transmission preset value and a second coefficient value from the database, which are different from the first transmission preset value and the first coefficient value and optimal for the phase 3 stage of the PCIe link training and equalization, to the outside when the first transmission preset value and the first coefficient value are determined not to be optimal.

Storage controller and storage device for PCIe communication optimization

Provided is an art psychological analysis apparatus using voice, text, and picture data which analyzes an emotion of a test taker using voice data, text data, and picture data extracted from a voice of the test taker at the time of the art psychological test and analyzes a test taker's personality using a meaningful picture subject to understand the psychology and an art psychological analysis method using the same. The art psychological analysis apparatus using voice, a text, and picture data may include a user interface for providing an interaction environment to a user who is a test taker, a data extraction unit which extracts voice data from a voice of the user input through the user interface during an art psychological test and extracts text data from the voice data, an emotion analysis unit which analyzes an emotion of the user from picture data input by the user through the user interface using the voice data and text data extracted from the data extraction unit, a personality analysis unit which analyzes a personality of the user according to a picture subject of the picture data input by the user together with the picture data, through the user interface, a psychological state analysis unit which analyzes a psychological state of the user based on the emotion of the user analyzed by the emotion analysis unit and the personality of the user analyzed by the personality analysis unit, and a database which stores information about the user's psychological state analyzed by the psychological state analysis unit.

Art psychological analysis apparatus using voice, text, and picture data and art psychological analysis method using the same

A storage device includes a nonvolatile memory device and a storage controller. The storage controller accesses the nonvolatile memory device based on a request of an external host device. The storage controller sends a signal to the external host device, based a throughput of accessing the nonvolatile memory device being within a specific range.

Storage device, operating method of storage device, and electronic device

A device for generating data for art-based psychoanalysis according to one embodiment of the present disclosure may include: a user interface which provides a user, i.e., an examinee with an interactive environment; a first drawing analysis part which is subjected to learning using a first artificial intelligence model, analyzes drawing data which the user input through the user interface to crop regional data of interest from the drawing data, and compresses the data of a region of interest or uncompresses the compressed data of a region of interest to restore the drawing data; a storing part which stores labeling information of the size, location and angle of an object included in the compressed data of a region of interest; and a second drawing analysis equipped with a second artificial intelligence model that partially augments an object of an art-based psychoanalytic element included in the drawing data, followed by learning.

Device for generating data for art-based psychoanalysis and method for augmentation and efficient management of data for art-based psychoanalysis using the same

The present invention is a composition for liquid crystal polymer synthesis comprising an alicyclic dicarboxylic acid or its derivative (e.g., 1,4-cyclohexanedicarboxylic acid (CHDA)); an aromatic diol (e.g., hydroquinone (HQ)); an aromatic monocarboxylic acid having 7 to 10 carbon atoms and containing a hydroxyl group (e.g., 4-hydroxybenzoic acid, (HBA)); and an aromatic monocarboxylic acid having 11 to 20 carbon atoms and containing a hydroxyl group (e.g., 6-hydroxy-2-naphthalenecarboxylic acid (HNA)), and a liquid crystal polymer for electrical/electronic products, a polymer resin composition, and a molded product using the same.

Composition for liquid crystal polymer synthesis, liquid crystal polymer for electrical/electronic products, polymer resin composition, and molded product using the same

Disclosed is a bio-based polycarbonate ester comprising: (i) repeat unit 1 obtained from a condensation reaction of 1,4:3,6 -dianhydrohexitol and carbonate; and (ii) repeat unit 2 obtained from a condensation reaction of 1,4:3,6-dianhydrohexitol and 1,4-cyclohexanedicarboxylate; and a preparation method for the bio-based polycarbonate ester, comprising the steps of: (1) preparing a compound 1,4-diphenyl-cyclohexanedicarboxylate through a trans-esterification or esterification reaction of a compound represented by formula 2 and phenol; and (2) preparing a compound comprising a repeat unit represented by formula 1 through a polycarbonate melt polycondensation reaction of the 1,4-diphenyl -cyclohexanedicarboxylate prepared in step (1), a compound represented by formula 4 and 1,4:3,6-dianhydrohexitol.

Highly heat-resistant and highly transparent polycarbonate ester, and preparation method therefor

A method for training a deep neural network according to an embodiment includes training a deep neural network model using a first data set including a plurality of labeled data and a second data set including a plurality of unlabeled data, assigning a ground-truth label value to some of the plurality of unlabeled data, updating the first data set and the second data set such that the data to which the ground-truth label value is assigned is included in the first data set, and further training the deep neural network model using the updated first data set and the updated second data set.

Apparatus and method for training deep neural network

A machine learning apparatus according to an embodiment includes a feature extractor configured to extract features from an object region of an image, a label processor configured to create sentence label embeddings from a sentence label corresponding to the object region, a first training data creator to extract first sub-features from a plurality of first sub-regions created by partitioning the object region, add the sentence label embeddings to the extracted first sub-features, and add the first sub-features added with the sentence label embeddings to the features of the object region, a second training data creator to extract a plurality of second sub-regions along a bounding surface of the object region, create an attention matrix from the second sub-regions, and create a training data by applying the attention matrix to the features of the object region, and a trainer to train an object detection model using the training data.

Machine learning apparatus and method for object detection

Provided are an optimization system and method of a deep learning model. According to example embodiments, by optimizing the structure of the deep learning model appropriately for a target dataset without fixing the structure of the deep learning model, it is possible to generate a model structure capable of having high performance on the target dataset and also saving resources.

System and method for optimization of deep learning model

The present invention relates to a shale gas extracting device, and provides a shale gas extracting device comprising: a canister, which is vertically and rotatably provided on a canister support vertically provided on both sides of a base, has an receiving space for accommodating a drilled rock sample and a ball mill together in a sealed manner, and has an injection opening at one side of a top thereof; a driving means for vibrating the canister such that the rock sample is crushed by mixing with the ball mill accommodated in the canister; a heating means for heating the canister; and a vacuum pipe, a pressure pipe, a sensor pipe, an injection pipe and an extracting pipe sequentially and detachably coupled to the injection opening of the canister.

Shale gas extracting device and extracting method therefor

In a user interface method, system and device in a multitasking environment, it is possible for a user to view all of a plurality of simultaneously executed applications by assigning different display areas to the plurality of applications. In the method, system and device, priorities of applications already being executed and of additional applications for which execution is requested are determined, and a display area size is determined and assigned to each application according to its priority. The system comprises a set-top box for performing the latter functions and a user terminal for transmitting a user request, while the device comprises a control unit for performing the latter functions.

User interface method, system, and device in multitasking environment

A method of providing a Graphical User Interface (GUI) is provided. The method includes receiving an image to be used for the GUI, and selecting one or more object areas to be used for the GUI from the image, setting a GUI icon corresponding to the selected object area, and outputting the set GUI as a home screen for executing at least one of application on a display of the terminal.

Method and apparatus for providing graphic user interface

An image processing apparatus includes a superpixel extractor configured to extract a plurality of superpixels from an input original image, a backbone network including N feature extracting layers (here, N is a natural number of two or more) which divide the input original image into grids including a plurality of regions and generate an output value including a feature value for each of the divided regions, and a superpixel pooling layer configured to generate a superpixel feature value corresponding to each of the plurality of superpixels using a first output value to an Noutput value output from each of the N feature extracting layers.

Apparatus and method for image processing for machine learning

A method of verifying an application, according to an embodiment, includes: storing application codes; loading a part of the application codes into a memory; and verifying the application by using the codes loaded into the memory.

Device and method for verifying application

Growing community of inventors

Seoul, South Korea

Ji-Hoon Kim