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Небесная энциклопедия

Космические корабли и станции, автоматические КА и методы их проектирования, бортовые комплексы управления, системы и средства жизнеобеспечения, особенности технологии производства ракетно-космических систем

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Мониторинг СМИ

Мониторинг СМИ и социальных сетей. Сканирование интернета, новостных сайтов, специализированных контентных площадок на базе мессенджеров. Гибкие настройки фильтров и первоначальных источников.

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Применить Всего найдено 16. Отображено 16.
12-09-2019 дата публикации

AUTOMATIC DOOR ROLLER MOUNTING APPARATUS

Номер: WO2019172516A1
Автор: KIM, Shin Gi, KIM, Hyo Soon, YUN, Hee Byeong, KIM, Sang Won, LEE, Jae Jun, LEE, Gil Sang
Принадлежит:

An automatic door roller mounting apparatus is disclosed. The automatic door roller mounting apparatus according to the present invention comprises: a moving body moving, by means of a reciprocating means embedded therein and provided at a frame, forward and backward along a moving body guide part, which is provided on the upper surface of the frame, and having a profile transfer part for transferring a chassis profile to a door roller insertion region; a profile supply part provided at one side of the upper surface of the frame in parallel to the moving body guide part so as to successively supply, to the profile transfer part, the profiles supplied to a profile loading part; and a door roller mounting part provided at one side of the upper surface of the moving body so as to pick up, one by one, door rollers supplied from a door roller supply part, thereby transferring same to the door roller insertion region when the moving body moves forward, and then insertion-coupling same to a door ...

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Номер записи: 1
19-07-2018 дата публикации

DEEP LEARNING-BASED SELF-ADAPTIVE LEARNING ENGINE MODULE

Номер: WO2018131749A1
Автор: YOON, Hee Byung
Принадлежит:

According to the deep learning-based self-adaptive learning engine module suggested by the present invention, the mechanism of the human brain for identifying a mission on its own by understanding a situation, and resolving the situation by creating a model can be effectively implemented by self-organizing a DNA mission and self-configuring an artificial neural network DNA model by combining self-adaptive technology and deep learning-based learning technology. Further, the present invention is implemented in the form of a module and can therefore be easily applied to various systems and, by performing self-adaptive learning by using structured data and unstructured data, can be applied for various purposes, such as understanding a situation, scheduling, decision making, prediction, recommendation, and taking a measure according to a situation, by making use of the learning result.

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Номер записи: 2
19-09-2017 дата публикации

SELF-LEARNING MODULE OF ARTIFICIAL NEURAL NETWORK MODEL USING NEURO-BLOCK/CHAIN COMBINATION

Номер: KR101774844B1
Автор: YOON, HEE BYUNG
Принадлежит: THE DNA SYSTEM

The present invention relates to a self-learning module of an artificial neural network model using a neuro-block/chain combination, learning a deoxyribonucleic acid (DNA) model by a combination of chain learning and block learning performed in chain and block learning units, respectively. According to the present invention, the model comprises: an input unit to receive a DNA mission which is a function of elements and positions, and is formed with one or more mission modules, and a DNA model which is an artificial neural network model formed with the DNA mission; the chain learning unit to perform learning about a chain interconnecting an activated position of the received DNA mission with other positions; and the block learning unit to perform learning in the activated mission module when the mission module forming the received DNA mission is activated. COPYRIGHT KIPO 2017 (300) Self-learning module (AA) DNA mission (BB) DNA model (CC) Trained DNA module ...

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Номер записи: 3
25-10-2018 дата публикации

SELF-LEARNING MODULE OF ARTIFICIAL NEURAL NETWORK MODEL USING NEUROBLOCK CHAIN COMBINATION

Номер: WO2018194206A1
Автор: YOON, Hee Byung
Принадлежит:

A self-learning module of an artificial neural network model using a neuroblock chain combination, suggested in the present invention, performs chain learning and block learning by receiving a DNA mission and DNA models such that the DNA models can be learned by a combination of the chain learning and the block learning and can be flexibly changed through self-learning over time and according to changes in circumstances, thereby effectively implementing brain mechanisms of a human being.

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Номер записи: 4
07-08-2017 дата публикации

AUTONOMOUS COMPOSITION MODULE OF ARTIFICIAL NEURAL NETWORK MODEL USING NEURO-BLOCK CHAIN COMBINATION

Номер: KR101763869B1
Автор: YOON, HEE BYUNG
Принадлежит: THE DNA SYSTEM

The present invention relates to an autonomous composition module of an artificial neural network model using a neuro-block chain combination. More specifically, the autonomous composition module of an artificial neural network model using a neuro-block chain combination composes a deep learning-based artificial neural network, and comprises: an input unit to receive a DNA mission; a submodel composition unit composing a functional submodel in response to a mission module composing the DNA mission; and a DNA model composition unit composing an artificial neural network DNA model which is a sum of one or more functional submodels composed by the submodel composition unit. According to the autonomous composition module of an artificial neural network model using a neuro-block chain combination, the DNA mission is received to autonomously compose the functional submodel and compose the artificial neural network DNA model by the sum of one or more functional submodels to autonomously compose ...

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Номер записи: 5
23-08-2018 дата публикации

SELF-COMPOSITION MODULE OF ARTIFICIAL NEURAL NETWORK MODEL USING NEURO- BLOCKCHAIN COMBINATION

Номер: WO2018151366A1
Автор: YOON, Hee Byung
Принадлежит:

According to a self-composition module of an artificial neural network model using a neuro- blockchain combination which is proposed by the present invention, the module self-composes a lower functional model that is a combination of a functional block and a chain by receiving an input of a DNA mission that changes over time, composes an artificial neural network DNA model using a sum of one or more lower functional models, and can thereby self-compose an artificial neural network DNA model having a structure that variably changes over time and according to changes in circumstances, and a human brain mechanism can efficiently be realised using the same.

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Номер записи: 6
15-11-2017 дата публикации

ARTIFICIAL INTELLIGENCE PLATFORM SYSTEM USING SELF-ADAPTIVE LEARNING TECHNOLOGY BASED ON DEEP LEARNING

Номер: KR101787613B1
Автор: YOON, HEE BYUNG
Принадлежит: THE DNA SYSTEM

The present invention relates to an artificial intelligence platform system using a self-adaptive learning technology based on deep learning. According to an embodiment of the present invention, the artificial intelligence platform system includes: a preprocessor (10) deriving elements by processing input data; a self-adaptive learning engine (20); and an effector (30). The artificial intelligence platform can effectively realize the human brain mechanism for understanding situations, recognizing missions, and building models to solve problems. COPYRIGHT KIPO 2017 (10) Preprocessor (100) Self-organizing module (11) Text conversion module (12) Information extraction module (13) Element deriving module (20) Self-adaptive learning engine (200) Self-configuration module (30) Effector (300) Self-learning module (31) Understanding and scheduling module (32) Determination and prediction module (33) Recommendation and response module ...

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Номер записи: 7
18-10-2017 дата публикации

SELF-ADAPTIVE LEARNING ENGINE MODULE BASED ON DEEP LEARNING

Номер: KR101787611B1
Автор: YOON, HEE BYUNG
Принадлежит: THE DNA SYSTEM

The present invention relates to a self-adaptive learning engine module of an artificial neural network model using a nerve block chain combination. More specifically, the self-adaptive learning engine module based on deep learning comprises: a self-organization module which self-organizes a DNA mission by comparing and evaluating an element derived by processing data and an element in a mission of a predetermined organization; a self-configuration module which self-configures an artificial neural network DNA model capable of learning based on deep learning by using the self-organized DNA mission; and a self-learning module which self-learns the self-configured DNA model. The self-adaptive learning engine module based on deep learning according to the present invention can effectively implement a human brain mechanism which understands a situation, grasps a mission on its own, makes a model, and solves the situation by combining a self-adaptive technique and a deep learning-based learning ...

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Номер записи: 8
10-01-2018 дата публикации

POSITION CHANGING DEVICE FOR DOOR ROLLER

Номер: KR101805808B1
Автор: KIM, SHIN GI, YUN, HEE BYEONG, KIM, HYO SOON, KIM, SEOG GI
Принадлежит: 3G TECHNOLOGIES CO., LTD.

A position changing device for a door roller is disclosed. According to the present invention, the position changing device for a door roller, which is mounted on a door roller having a roller rotationally positioned inside a housing and allowing the roller to be guided by a guide rail positioned on a window frame to support rolling of the wind frame, comprises: a body having a width equal to or smaller than the width of the housing, and having a length longer than the length of the upper end part of the housing, and formed in the shape of a plate having a predetermined thickness; a coupling part formed at one end area of the body to be coupled to one end of the upper end part; an elasticity generation part formed to be curved in an arc-shape to protrude upwards from a center part of a body to generate elasticity; a locking part formed in the other end area positioned on a lower surface opposite to the upper end part to protrude upwards; and a locking releasing end formed to protrude upwards ...

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Номер записи: 9
18-09-2018 дата публикации

AUTOMATIC MOUNT EQUIPMENT OF ROLLER

Номер: KR101899942B1
Автор: KIM SHIN GI, KIM HYO SOON, YUN HEE BYEONG, KIM SANG WON, LEE JAE JUN, LEE GIL SANG
Принадлежит: 3G TECHNOLOGIES CO., LTD.

Automatic mount equipment of a roller according to the present invention includes: a moving member provided with a profile conveyance unit for conveying a chassis profile to a roller insertion area; a profile supply unit configured to sequentially supply the profiles supplied to a profile mount unit to a profile conveyance unit; and a roller mount unit provided at one side of an upper surface of the moving member in which each roller supplied from a roller supply unit is picked up, conveyed to the roller insertion area upon forward movement of the moving member, and then inserted and coupled to a roller mount hole of the profile disposed in the roller insertion area. The profile and the roller are automatically supplied to automatically mount the roller, so that the work to mount the roller to the chassis profile is quickly and easily performed, and the roller is mounted to the profile with a minimum number of workers. COPYRIGHT KIPO 2018 ...

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Номер записи: 10
12-09-2018 дата публикации

호차용 이탈방지장치

Номер: KR0101897648B1
Автор: 김신기, 김효순, 김상원, 윤희병
Принадлежит: 주식회사 쓰리지테크놀러지

... 호차용 이탈방지장치가 개시된다. 본 발명에 따른 호차용 이탈방지장치는, 창문틀이나 도어틀에 구비되는 레일에 안내되어 창문이나 도어를 슬라이딩 작동시키기 위한 바퀴와, 상기 바퀴를 회전 지지하도록 상기 바퀴와 결합되는 지지체와, 상기 지지체의 양쪽에서 수평방향으로 각각 연장되어 상기 창문이나 도어에 장착되는 장착단으로 이루어진 호차에 장착되는 것으로, 상기 호차를 상기 창문이나 도어의 저면에 장착하기 전에는 탄성을 발생시키지 않도록 하여 상기 창문이나 도어를 상기 창문틀이나 도어틀에 결합할 때 간섭이 발생되지 않도록 하고, 상기 호차가 장착된 상기 창문이나 도어를 창문틀이나 도어틀에 결합되었을 때 진동이나 외부 충격이 상기 창문이나 도어에 전달되더라도 상기 바퀴가 상기 레일에 항상 밀착된 상태를 유지하여 이탈이 방지되도록 상기 지지체를 하향으로 탄력 지지하도록 상기 지지체의 상면에 설치되는 탄력지지수단을 포함하되, 상기 탄력지지수단은, 상면에 수용부를 구비하여 상기 지지체의 상면에 탈부착 가능하게 결합되는 하부체; 상기 수용부에 설치되는 탄성체; 상기 수용부를 커버하고 상기 탄성체를 하향으로 가압하도록 상기 하부체에 결합되는 상부체; 및 상기 호차가 상기 창문이나 도어의 저면에 장착되기 전에는 상기 상부체가 상기 탄성체를 가압하면서 상기 하부체에 결합된 상태를 유지하고, 상기 호차가 상기 창문이나 도어의 저면에 장착되어 상기 창문이나 도어의 하중이 가해질 때 파단되면서 상기 상부체와 하부체의 결합상태를 해제시키도록 상기 상부체와 하부체에 구비되는 결합해제부를 포함하는 것을 특징으로 한다. 본 발명에 의하면, 호차의 상면에 결합되는 탄력지지수단이 평상시에는 탄성을 발생시키지 않고 창문이나 도어에 장착되어 창문이나 도어가 창문틀이나 도어틀에 장착되어 창문이나 도어의 하중이 탄력지지수단에 가해질 때 상부체와 하부체의 결합상태가 해제되면서 탄성이 발생되도록 구성됨으로써, 탄력지지수단을 창문이나 도어에 장착한 상태로 창문이나 도어를 창문틀이나 도어틀에 결합하는 작업이 레일과의 ...

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Номер записи: 11
14-08-2017 дата публикации

MISSION SELF-ORGANIZATION MODULE USING NEURO-BLOCKCHAIN COMBINATION

Номер: KR101763858B1
Автор: YOON, HEE BYUNG
Принадлежит: THE DNA SYSTEM

The present invention relates to a self-organization module of a mission using neuro-blockchain combination, which can self-organize a DNA mission having a structure of being changed according to passage of time and variation of state while being similar to a predefined organization mission. The mission self-organization module includes: a blockchain comparator (110) comparing the organization mission, predefined with a function of elements to be input into an artificial neural network model and positions of organization components, with the DNA mission in a state of being self-organized using elements extracted from input data; a blockchain activator (120) forming chains and blocks using the elements extracted from the input data and organizing and activating a mission module, which is a combination of the formed chains and blocks, and the DNA mission, which is the sum of the mission modules; and a position identifier (130) identifying a position connected to a special element not matched ...

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Номер записи: 12
16-08-2018 дата публикации

MODULE FOR SELF-ORGANIZING MISSION BY USING NEURO-BLOCK-CHAIN COMBINATION

Номер: WO2018147495A1
Автор: YOON, Hee Byung
Принадлежит:

A module for self-organizing a mission by using a neuro-block-chain combination, suggested by the present invention, self-organizes a DNA mission by using the combination of a block and a chain, from a pre-defined organization mission and an element which has been extracted from input data, thereby identifying the DNA mission on its own by using diverse data, and effectively implementing the human brain mechanism by using same.

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Номер записи: 13
14-06-2018 дата публикации

SEPARATION PREVENTION DEVICE FOR ROLLER

Номер: KR1020180064014A
Автор: KIM, SHIN GI, KIM, HYO SOON, KIM, SANG WON, YUN, HEE BYEONG
Принадлежит:

A separation prevention device for a roller is disclosed. The separation prevention device for a roller comprises: a lower body including an elastic support means, wherein the elastic support means is detachably coupled to an upper surface of a support by having an accommodating unit on an upper surface; an elastic body installed in the accommodating unit; an upper body for covering the accommodating unit and coupled to the lower body to press the elastic body downward; and a coupling releasing unit. A wheel can be prevented from being separated from a rail. COPYRIGHT KIPO 2018 ...

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Номер записи: 14
09-05-2018 дата публикации

ARTIFICIAL BRAIN OPERATING METHOD

Номер: KR101856002B1
Автор: YOON, HEE BYUNG
Принадлежит: THE DNA SYSTEM

The present invention relates to an artificial brain operating method capable of effectively implementing a human brain mechanism, which comprises the steps of: (1) forming a chain for connecting positions; (2) organizing a mission module which is a combination of a block and a chain; (3) determining the number of layers of a hidden layer and the number of nodes of a functional sub-model; (4) configuring an artificial neural network model which is the sum of at least one sub-model; (5) performing block learning; and (6) performing chain learning. COPYRIGHT KIPO 2018 (S100) Step of activating a position matching (S200) Step of constructing a block and organizing a mission module (S300) Step of determining the number of layers of a hidden layer and the number of nodes of a sub-model (S400) Step of configuring a hidden layer of a sub-model and configuring an artificial neural network model (S500) Step of performing block learning (S600) Step of performing chain learning ...

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Номер записи: 15
26-07-2018 дата публикации

ARTIFICIAL INTELLIGENCE PLATFORM USING SELF-ADAPTIVE LEARNING TECHNOLOGY BASED ON DEEP LEARNING

Номер: WO2018135696A1
Автор: YOON, Hee Byung
Принадлежит:

According to an artificial intelligence platform using a self-adaptive learning technology based on deep learning, as proposed in the present invention, a preprocessor derives elements by processing structured data and unstructured data; a self-adaptive learning engine is capable of performing self-adaptive learning by using the elements; and an effector using the result of the learning is included, and thus a modularized system capable of performing situation understanding and scheduling, decision making and predicting, recommending and taking measures with respect to the situation, etc. may be provided, and a customized system fit for various situations may be provided.

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Номер записи: 16