Electronics and Telecommunications Research Institute

Lg Innotek Co., Ltd.

Yeo Chan Yoon

Jeong Mu Heo

Myung Gil Jang

Chung Hee Lee

Jin Seong Kim

Pum Mo Ryu

Jae Hwan Jung

Hyo-Jung Oh

Soojong Lim

Miran Choi

Hyunki Kim

Hyun Ki Kim

Mi Ran Choi

Hyo Jung Oh

Hyeon Jin Kim

Yun Shick Eom

Changki Lee

Ki Rok Hur

Yo Han Jo

Yoon Jae Choi

Sang Kyu Park

Sung Joo Oh

YiGyu Hwang

Bong Kul Min

Yong Jin Bae

Soo Jong Lim

Hyung Keun Jee

Ji Hyouk Chung

Soo Myung Park

Yi Gyu Hwang

Chang Ki Lee

Yoonjae Choi

Ji Ae Shin

A clustering method includes configuring a network with clustering target objects; collecting significance of the clustering target objects; performing network embedding for outputting a set of vectors representing neighboring objects of the clustering target objects constituting the network using a neural network; and performing clustering on the clustering target objects using the set of vectors and information on each of the clustering target objects, wherein the neural network is trained so that neighboring objects having high significance are output with higher probability.

Clustering method and apparatus using ranking-based network embedding

A sensor and a portable terminal comprising the same, according to an embodiment, comprise: a substrate; a light-emitting unit and a light-receiving unit, which are arranged on the substrate at a distance from each other; a cover unit arranged on the light-emitting unit and the light-receiving unit so as to face the substrate; a first optical guide lens unit arranged between the cover unit and the light-emitting unit so as to refract light, which has been emitted from the light-emitting unit and to transfer the same to the outside of the cover unit; and a second optical guide lens unit arranged between the cover unit and the light-receiving unit so as to transfer light from the outside of the cover unit to the light-receiving unit. In connection with a proximity/illuminance sensor, the sensing range related to a spaced object is expanded, thereby improving the sensing performance.

Sensor and portable terminal comprising same

Disclosed are a light emitting device and a lighting system having the same. The light emitting device includes a body including first and second lateral side parts, third and fourth lateral side parts, and a cavity, a first lead frame extending in a direction of the first lateral side part of the body, a second lead frame extending in a direction of the second lateral side part of the body, a light emitting chip disposed on the first lead frame in the cavity, and a gap part between the first and second lead frames. The first lead frame includes a first recess part having a first depth, and a second recess part recessed at a second depth, and the first recess part and the second recess part have a step structure with a curved surface.

Light emitting device and lighting system having the same

Disclosed are an apparatus, a system, and a method for searching for a power user in social media. The apparatus according to the present invention includes an input unit configured to receive a keyword corresponding to an interested object from a user; a communication unit configured to transmit a search request message including the received keyword and receive a search response message corresponding to the transmitted search request message; a controller configured to, when receiving the search response message, extract a search list in which power users related to the keyword are arranged according to a preset power ranking from the received search response message; a display unit configured to sequentially display the power users related to the keyword received from the user according to the preset power ranking based on the extracted search list; and a storage unit configured to store the extracted search list.

Apparatus, system, and method for searching for power user in social media

Disclosed are a light emitting device. The light emitting device includes a body having a cavity; a plurality of lead frames in the cavity; a light emitting chip; a first molding member having a first metal oxide material around the light emitting chip; and a second molding member having a second metal oxide material on the first molding member and the light emitting chip, wherein the light emitting chip includes a reflective electrode layer under a light emitting structure, wherein a top surface of the first molding member extends from a region between a top surface of the light emitting chip and a lateral side of the reflective electrode layer at a predetermined curvature, and wherein a bottom surface of the second molding member includes a curved surface which is convex toward the first molding member.

Disclosed are an apparatus, a system, and a method for detecting complex issues based on social media analysis according to the present invention. A system for detecting complex issues based on social media analysis according to the present invention includes: a unit issue detecting unit configured to receive a keyword from a user terminal, and to detect per-type unit issues associated with the received keyword; a complex issue detecting unit configured to detect per-type complex issues from the detected per-type unit issues; a complex issue ranking unit configured to analyze the detected per-type complex issues, and to rank the per-type complex issues based on the analysis result; and a complex issue configuring unit configured to configure the ranked per-type complex issues in a predetermined form that enable users to induce a micro trend, and to provide the configured form to a user.

Apparatus, system, and method for detecting complex issues based on social media analysis

The present invention relates to a social media question and answer service, and discloses a social media issue processing device and method. The method includes a question analyzing unit which analyzes a question type of an input question through a question pattern dictionary which is stored in advance; a social media analyzing unit which performs issue period recognition for the question, question type based analysis, question based summary creation, and question based reliability calculation; and a report creating unit which creates a summary in accordance with at least one of correlation between the question type and the question based summary, correlation between the issue period and the question type based analysis result, and correlation between the reliability and the question based summary.

Processing method for social media issue and server device supporting the same

Disclosed are a light emitting device and a lighting system having the same. The light emitting device includes a body including first and second lateral side parts, third and fourth lateral side parts, and a cavity, a first lead frame extending in a direction of the first lateral side part of the body, a second lead frame extending in a direction of the second lateral side part of the body, a gap part between the first and second lead frames, and a molding member in the cavity. The first lead frame includes a first recess part having a first depth, and a second recess part recessed at a second depth in a region adjacent to the first lateral side part of the body, and the first depth of the first recess part is different from the second depth of the second recess part.

Disclosed is a light emitting device. The light emitting device includes: a body including a cavity having first and second inner sides opposite to each other and third and fourth inner sides connected to first and second inner sides and opposite to each other; a first lead frame extending from a bottom of cavity under a first inner side of cavity; a second lead frame extending from the bottom of cavity under a second inner side of cavity; a gap part in the bottom of cavity between first and second lead frames; a light emitting chip on first lead frame; a protective chip on the second lead frame; a recess region recessed outward of body from at least one of third and fourth inner sides of cavity; and a first wire connected to the second frame disposed between light emitting chip and a sidewall of the recess region.

Light emitting device and lighting system including the same

A light emitting device according to the embodiment includes a body; a first lead electrode having a first bonding part and a second bonding part; a second lead electrode having a third bonding part and a fourth bonding part; a gap part between the first and second lead electrodes; a third lead electrode on a bottom surface of the body; a fourth lead electrode on the bottom surface of the body; a first connection electrode; a second connection electrode; a light emitting chip; and a first bonding member, wherein the gap part includes a first gap part disposed between the first and third bonding parts, and the first gap part includes first and second regions spaced apart from each other corresponding to a width of the third bonding part, and a third region connected to the first and second regions and disposed perpendicularly to the first and second regions.

A question type and domain identifying apparatus includes: a question type identifier for recognizing the number of words of a user's question to identify whether the user's question is a query for performing information searching or a question for performing a question and answer (Q&A); a question domain distributor for distributing one of plural preset domain specialized Q&A engines, as a Q&A engine of the user's question based on the recognized word number; and a Q&A engine block, including the domain specialized Q&A engines, for selectively performing information searching or a Q&A with respect to the user's question in response to the distribution of the question domain distributor.

Question type and domain identifying apparatus and method

A topic map based indexing apparatus analyzes community Q/A lists to acquire Q/A analysis information, removes redundant answers depending on the Q/A analysis information, removes insignificant answers based on the degree of reliability, ranks answer lists, and extracts the highest ranking answer as a best answer, to thereby store, in a community Q/A topic map, index information containing the community Q/A lists and the Q/A analysis information. A topic map based searching apparatus analyzes a user question to acquire question analysis information, searches similar questions from community Q/A lists belonging to a specific topic node of a pre-stored community Q/A topic map, ranks the searched similar questions depending on the question analysis information, removes redundant answers among answers to the ranked similar questions, ranks the answers, and extracts the highest ranking answer as a best answer.

Topic map based indexing and searching apparatus

An apparatus for verifying training data using machine learning includes: a training data separation unit for separating provided initial training data into N training data and N verification data, where N is a natural number; a machine learning unit for performing machine learning on the separated training data to generate a training model; an automatic tagging unit for automatically tagging an original text of the verification data using the generated training model to provide automatic tagging results; and an error determination unit for comparing the verification data to the automatic tagging results to determine error candidates of the training data.

Apparatus and method for verifying training data using machine learning

A method for stabilizing a knowledge graph includes: generating a knowledge graph in which same entities in a semantic relation list between entities provided as an input are represented as a single node based on names and types of the entities; computing, on the knowledge graph, semantic similarities between all potential entity pairs of same entity types by comparing, for each potential entity pair, a type of relation associated with an entity in the entity pair and an opponent entity to the entity; and selecting, based on the semantic similarities, a representative entity from each of semantically similar entity pairs on the knowledge graph and integrating an opponent entity to the representative entity into the representative entity. The method further includes computing relation weighted values between the entities by using a graph analysis and statistic information, and adding the weighted values to the knowledge graph.

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Seoul, South Korea

Yeo Chan Yoon