Electronics and Telecommunications Research Institute

Lg Chem, Ltd

Lg Energy Solution, Ltd.

Silicon Works Co., Ltd.

Future Metal Corporation

Ki Young Lee

Chang Hyun Kim

Young Kil Kim

Sung Kwon Choi

Oh Woog Kwon

Seong Il Yang

Sang Kyu Park

Yoon Hyung Roh

Young Ae Seo

Eun Jin Park

Yun Su Jin

Ying Shun Wu

Joon Sung Bae

Jinxia Huang

Changhao Yin

Young-Ae Seo

Keun Yung Im

Yoon-Hyung Roh

Kyoung Choon Min

Seo Jae Lee

Young-Sook Hwang

Young Taek An

Jin Hee Jeon

Sang Hoon Choy

Sung Kyun Chang

Yong Hoon Kwon

Min Chul Jang

Jae Wan Kim

Kyu Ho Kim

Won Gon Kim

Il Kwon Kim

Jong Hun Shin

Ki Suk Cho

Seung Jun Choi

Myoung Su Song

Eui Yong Bang

Mun Pyo Hong

Chang-Hao Yin

Yong Ju Lee

Hong-Kyu Park

Sung Min Hwang

Ki Tae Kim

Jeong Mu Heo

Jae C Lee

Cheol Ryu

Won Seok Chang

Soojong Lim

Mun Ju Kim

Doyul Kim

Young Tack An

Ou Jung Kwon

Jens Martin Paulsen

Suk Myung Roh

Wongon Kim

Jin Yong Jeon

Jihee Ryu

Jin Seong

You Min Kim

Dong Wan Ko

Yong Bum Park

Chang Sung Ha

Byung Gi Jeon

Seung Hoon Na

Seong Ii Yang

Young Ao Seo

Sang Keun Jung

Young Sook Hwang

Seong Yong Park

Young Kii Kim

Jin On Kim

Ho Kyung Byun

Chang Hao Yin

Eunjin Park

Yingshun Wu

Provided is a method of generating a language model using crossmodal information. The method includes: receiving language-based first modality information and non-language-based second modality information; converting the first modality information into a first byte sequence; converting the second modality information into a second byte sequence; converting the first and second byte sequences into a first embedding vector and a second embedding vector by applying an embedding technique for each modality; generating semantic association information between first and second modality information by inputting the first and second embedding vectors to a crossmodal transformer; and learning the language model by setting the generated semantic association information as training data.

Method and apparatus for generating language model using crossmodal information

Disclosed is a battery management system circuit, including: a substrate; a first resistor part disposed on the substrate and including a plurality of resistors; a second resistor part disposed on the substrate and including a plurality of resistors; and a first perforation formed by piercing the substrate between the first resistor part and the second resistor part, and the first perforation diffuses heat generated by the first resistor part and the second resistor part.

Battery management system circuit

A battery management system of a battery cell assembly including a plurality of cells, includes a plurality of first cell balancing resistors and a plurality of first cell balancing switches connected between a positive electrode and a negative electrode of a corresponding first cell among the plurality of cells; and a plurality of second cell balancing resistors and a plurality of second cell balancing switches connected between the positive electrode and the negative electrode of the corresponding first cell, wherein a first cell balancing current flowing during an on period of each first cell balancing switch is greater than a second cell balancing current flowing during an on period of each second cell balancing switch.

Battery management system for adjusting cell balancing current

Disclosed are a communication method between a master controller and slave controllers, a slave controller for the communication method, and a battery management system using the communication method and the slave controller, in which the master controller receives safety information about battery cells through a plurality of channels even when each of a plurality of slave controllers includes only one micro controller unit, thereby minimizing the increase in the cost and enhancing the safety of the battery management system. The communication method includes performing bidirectional communication between a master controller and first to N(where N is an integer equal to or more than two) slave controllers through a first communication channel, and receiving, by the master controller, an indication signal through a second communication signal via the first to Nslave controllers.

Communication method between master controller and slave controller, slave controller for the same, and battery management system using the same

The present invention relates to a system for protecting a battery, and to a battery protecting system, which obtains state information of a battery through two different state obtaining units and diagnoses whether the battery has a problem based on the two elements of state information obtained through the two state obtaining units and reference state information, thereby more certainly diagnosing a state of the battery and stably protecting a load from the battery in the problem state.

Battery protection system and method

The present invention provides a positive electrode active material for a lithium secondary battery, which includes a secondary particle core formed by agglomeration of primary particles of a nickel manganese cobalt-based first lithium composite metal oxide, an intermediate layer disposed on the core and including rod-shaped nickel manganese cobalt-based second lithium composite metal oxide particles radially oriented from a center of an active material particle to a surface thereof, and a shell disposed on the intermediate layer and including a nickel manganese cobalt-based third lithium composite metal oxide, and a lithium secondary battery including the same.

Positive electrode active material for secondary battery, method of preparing the same, and secondary battery including the positive electrode active material

The present invention relates to a spoken dialog system and method based on dual dialog management using a hierarchical dialog task library that may increase reutilization of dialog knowledge by constructing and packaging the dialog knowledge based on a task unit having a hierarchical structure, and may construct and process the dialog knowledge using a dialog plan scheme about relationship therebetween by classifying the dialog knowledge based on a task unit to make design of a dialog service convenient, which is different from an existing spoken dialog system in which it is difficult to reuse dialog knowledge since a large amount of construction costs and time is required.

Spoken dialog system based on dual dialog management using hierarchical dialog task library

Disclosed is a method for preparing an electrochemical device, comprising the steps of: charging an electrochemical device using an electrode active material having a gas generation plateau potential in a charging period to an extent exceeding the plateau potential; and degassing the electrochemical device. An electrochemical device, which comprises an electrode active material having a gas generation plateau potential in a charging period, and is charged to an extent exceeding the plateau potential and then degassed, is also disclosed.

Electrochemical device with high capacity and method for preparing the same

A foreign language writing service method includes: recognizing, when a mixed text of foreign language portions and mother tongue portions is entered by a learner, the mother tongue portions from the mixed text; translating the mother tongue portions; combining a mother tongue translation result with the foreign language portions of the mixed text to generate a combined text; and providing the learner with the combined text of the mother tongue translation result and the foreign language portions of the mixed text.

Foreign language writing service method and system

A method for automatically detecting errors in machine translation using a parallel corpus includes analyzing morphemes of a target language sentence in the parallel corpus and a machine-translated target language sentence, corresponding to a source language sentence, to classify the morphemes into words; aligning by words and decoding, respectively, a group of the source language sentence and the machine-translated target language sentence, and a group of the source language sentence and the target language sentence in the parallel corpus; classifying by types errors in the machine-translated target language sentence by making a comparison, word by word, between the decoded target language sentence in the parallel corpus and the decoded machine-translated target language sentence; and computing error information in the machine-translated target language sentence by examining a frequency of occurrence of the classified error types.

Method and apparatus for detecting errors in machine translation using parallel corpus

A user-interactive automatic translation device for a mobile device, includes: a camera image controller for converting an image captured by a camera into a digital image; an image character recognition controller for user-interactively selecting a character string region to be translated from the digital image, performing a character recognition function on the selected character string region based on an optical character reader (OCR) function and character recognition information to generate a text string; and user-interactively correcting errors included in the text string. Further, the user-interactive automatic translation device includes a text transmission controller for transmitting the error-corrected text string; and an automatic translation controller for receiving the error-corrected text string from the text transmission controller, performing a morpheme analysis, tagging, a structure analysis, a structure conversion, and a vocabulary conversion on the text string to generate a translation of the text string based on a grammar of a target language.

User-interactive automatic translation device and method for mobile device

A post-editing apparatus for correcting translation errors, includes: a translation error search unit for estimating translation errors using an error-specific language model suitable for a type of error desired to be estimated from translation result obtained using a translation system, and determining an order of correction of the translation errors; and a corrected word candidate generator for sequentially generating error-corrected word candidates for respective estimated translation errors on a basis of analysis of an original text of the translation system. The post-editing apparatus further includes a corrected word selector for selecting a final corrected word from among the error-corrected word candidates by using the error-specific language model suitable for the type of error desired to be corrected, and incorporating the final corrected word in the translation result, thus correcting the translation errors.

Post-editing apparatus and method for correcting translation errors

A hybrid translation apparatus includes a source language input unit for generalizing an input source language sentence for each node; a statistics-based translation knowledge database(DB) for storing learning data generalized for each node to be acquired; a first translation result generating unit for transforming the source language sentence generalized for each node into a node expression using the statistics-based translation knowledge to generate a first translation result; and a second translation result generating unit for repeatedly performing the generation of a target word for each node on the first translation result using pattern-based knowledge to generate a second translation result as target words for the respective nodes. Further, the hybrid translation apparatus includes a pattern-based translation knowledge DB for using in the pattern-based translation; and a translation result combining unit for combining the first translation result and the second translation result to output a target language sentence.

Hybrid translation apparatus and method thereof

Provided are a device and method for interactive machine translation. The device includes a machine translation engine having a morphological/syntactic analyzer for analyzing morphemes and sentences of an original text and generating original text analysis information, and a translation generator for generating a translation and translation generation information on the basis of the original text analysis information, and a user interface module for displaying sentence structures of the original text and the translation, and a relationship between the original text and the translation to a user on the basis of the original text analysis information and the translation generation information, and for receiving corrections to the original text or the translation from the user. The device and method provide a user interface whereby the user can effectively recognize and correct a mistranslated part and a cause of the mistranslation, and rapidly provides a re-translated result according to the correction. Thus, it is possible to perform high-quality translation which satisfies the user.

Device and method for interactive machine translation

Growing community of inventors

Daejeon, South Korea

Ki Young Lee