METHOD AND DEVICE FOR DEEP-LEARNING BASED COMPUTATION TIME MANAGEMENT OF GO GAME SERVICE
An objective of the present invention is to provide a Go game service operation time management method based on deep learning and a device thereof for managing the deep learning operation time according to the game situation on a Go game service. According to an embodiment of the present invention,...
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| creator | SANG HYUN LEE CHANG YUL LEE |
| description | An objective of the present invention is to provide a Go game service operation time management method based on deep learning and a device thereof for managing the deep learning operation time according to the game situation on a Go game service. According to an embodiment of the present invention, a Go game service operation time management device based on deep learning comprises: a communication unit for receiving at least one of a price value and a placement time according to a Go board state; a memory for storing a time adjustment unit; and a processor which reads the time adjustment unit and controls the time adjustment unit to determine a placement preparation time using at least one of the price value and the placement time.
본 발명의 실시예에 따른 딥러닝 기반의 바둑 게임 서비스 연산시간 관리 장치는, 바둑판 상태에 따른 가치값 및 상대 착수시간 중 적어도 하나를 수신하는 통신부; 시간 조정부를 저장하는 메모리; 및 상기 시간 조정부를 독출하여, 상기 시간 조정부가 상기 가치값 및 상대 착수시간 중 적어도 하나를 이용하여 착수 준비 시간을 결정하도록 제어하는 프로세서;를 포함하는 것을 특징으로 한다. |
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본 발명의 실시예에 따른 딥러닝 기반의 바둑 게임 서비스 연산시간 관리 장치는, 바둑판 상태에 따른 가치값 및 상대 착수시간 중 적어도 하나를 수신하는 통신부; 시간 조정부를 저장하는 메모리; 및 상기 시간 조정부를 독출하여, 상기 시간 조정부가 상기 가치값 및 상대 착수시간 중 적어도 하나를 이용하여 착수 준비 시간을 결정하도록 제어하는 프로세서;를 포함하는 것을 특징으로 한다.</description><language>eng ; kor</language><subject>AMUSEMENTS ; CALCULATING ; CARD, BOARD, OR ROULETTE GAMES ; COMPUTER SYSTEMS BASED ON SPECIFIC COMPUTATIONAL MODELS ; COMPUTING ; COUNTING ; GAMES ; GAMES NOT OTHERWISE PROVIDED FOR ; HUMAN NECESSITIES ; INDOOR GAMES USING SMALL MOVING PLAYING BODIES ; PHYSICS ; SPORTS ; VIDEO GAMES</subject><creationdate>2022</creationdate><oa>free_for_read</oa><woscitedreferencessubscribed>false</woscitedreferencessubscribed></display><links><openurl>$$Topenurl_article</openurl><openurlfulltext>$$Topenurlfull_article</openurlfulltext><thumbnail>$$Tsyndetics_thumb_exl</thumbnail><linktohtml>$$Uhttps://worldwide.espacenet.com/publicationDetails/biblio?FT=D&date=20221018&DB=EPODOC&CC=KR&NR=20220140123A$$EHTML$$P50$$Gepo$$Hfree_for_read</linktohtml><link.rule.ids>230,308,776,881,25542,76289</link.rule.ids><linktorsrc>$$Uhttps://worldwide.espacenet.com/publicationDetails/biblio?FT=D&date=20221018&DB=EPODOC&CC=KR&NR=20220140123A$$EView_record_in_European_Patent_Office$$FView_record_in_$$GEuropean_Patent_Office$$Hfree_for_read</linktorsrc></links><search><creatorcontrib>SANG HYUN LEE</creatorcontrib><creatorcontrib>CHANG YUL LEE</creatorcontrib><title>METHOD AND DEVICE FOR DEEP-LEARNING BASED COMPUTATION TIME MANAGEMENT OF GO GAME SERVICE</title><description>An objective of the present invention is to provide a Go game service operation time management method based on deep learning and a device thereof for managing the deep learning operation time according to the game situation on a Go game service. According to an embodiment of the present invention, a Go game service operation time management device based on deep learning comprises: a communication unit for receiving at least one of a price value and a placement time according to a Go board state; a memory for storing a time adjustment unit; and a processor which reads the time adjustment unit and controls the time adjustment unit to determine a placement preparation time using at least one of the price value and the placement time.
본 발명의 실시예에 따른 딥러닝 기반의 바둑 게임 서비스 연산시간 관리 장치는, 바둑판 상태에 따른 가치값 및 상대 착수시간 중 적어도 하나를 수신하는 통신부; 시간 조정부를 저장하는 메모리; 및 상기 시간 조정부를 독출하여, 상기 시간 조정부가 상기 가치값 및 상대 착수시간 중 적어도 하나를 이용하여 착수 준비 시간을 결정하도록 제어하는 프로세서;를 포함하는 것을 특징으로 한다.</description><subject>AMUSEMENTS</subject><subject>CALCULATING</subject><subject>CARD, BOARD, OR ROULETTE GAMES</subject><subject>COMPUTER SYSTEMS BASED ON SPECIFIC COMPUTATIONAL MODELS</subject><subject>COMPUTING</subject><subject>COUNTING</subject><subject>GAMES</subject><subject>GAMES NOT OTHERWISE PROVIDED FOR</subject><subject>HUMAN NECESSITIES</subject><subject>INDOOR GAMES USING SMALL MOVING PLAYING BODIES</subject><subject>PHYSICS</subject><subject>SPORTS</subject><subject>VIDEO GAMES</subject><fulltext>true</fulltext><rsrctype>patent</rsrctype><creationdate>2022</creationdate><recordtype>patent</recordtype><sourceid>EVB</sourceid><recordid>eNqNjEEKwjAQRbtxIeodBlwX0tQLjMkkDZpMSVNxV4rElWih3h8reABX__F4_HVx9ZQa1oBBg6aLUwSG44LUlmfCGFywcMSONCj2bZ8wOQ6QnCfwGNCSp5CADVgGi4vtKH5vtsXqPj7mvPvtptgbSqop8_Qa8jyNt_zM7-EUpZBSVAdRyRrr_6oPWHgxVw</recordid><startdate>20221018</startdate><enddate>20221018</enddate><creator>SANG HYUN LEE</creator><creator>CHANG YUL LEE</creator><scope>EVB</scope></search><sort><creationdate>20221018</creationdate><title>METHOD AND DEVICE FOR DEEP-LEARNING BASED COMPUTATION TIME MANAGEMENT OF GO GAME SERVICE</title><author>SANG HYUN LEE ; CHANG YUL LEE</author></sort><facets><frbrtype>5</frbrtype><frbrgroupid>cdi_FETCH-epo_espacenet_KR20220140123A3</frbrgroupid><rsrctype>patents</rsrctype><prefilter>patents</prefilter><language>eng ; kor</language><creationdate>2022</creationdate><topic>AMUSEMENTS</topic><topic>CALCULATING</topic><topic>CARD, BOARD, OR ROULETTE GAMES</topic><topic>COMPUTER SYSTEMS BASED ON SPECIFIC COMPUTATIONAL MODELS</topic><topic>COMPUTING</topic><topic>COUNTING</topic><topic>GAMES</topic><topic>GAMES NOT OTHERWISE PROVIDED FOR</topic><topic>HUMAN NECESSITIES</topic><topic>INDOOR GAMES USING SMALL MOVING PLAYING BODIES</topic><topic>PHYSICS</topic><topic>SPORTS</topic><topic>VIDEO GAMES</topic><toplevel>online_resources</toplevel><creatorcontrib>SANG HYUN LEE</creatorcontrib><creatorcontrib>CHANG YUL LEE</creatorcontrib><collection>esp@cenet</collection></facets><delivery><delcategory>Remote Search Resource</delcategory><fulltext>fulltext_linktorsrc</fulltext></delivery><addata><au>SANG HYUN LEE</au><au>CHANG YUL LEE</au><format>patent</format><genre>patent</genre><ristype>GEN</ristype><title>METHOD AND DEVICE FOR DEEP-LEARNING BASED COMPUTATION TIME MANAGEMENT OF GO GAME SERVICE</title><date>2022-10-18</date><risdate>2022</risdate><abstract>An objective of the present invention is to provide a Go game service operation time management method based on deep learning and a device thereof for managing the deep learning operation time according to the game situation on a Go game service. According to an embodiment of the present invention, a Go game service operation time management device based on deep learning comprises: a communication unit for receiving at least one of a price value and a placement time according to a Go board state; a memory for storing a time adjustment unit; and a processor which reads the time adjustment unit and controls the time adjustment unit to determine a placement preparation time using at least one of the price value and the placement time.
본 발명의 실시예에 따른 딥러닝 기반의 바둑 게임 서비스 연산시간 관리 장치는, 바둑판 상태에 따른 가치값 및 상대 착수시간 중 적어도 하나를 수신하는 통신부; 시간 조정부를 저장하는 메모리; 및 상기 시간 조정부를 독출하여, 상기 시간 조정부가 상기 가치값 및 상대 착수시간 중 적어도 하나를 이용하여 착수 준비 시간을 결정하도록 제어하는 프로세서;를 포함하는 것을 특징으로 한다.</abstract><oa>free_for_read</oa></addata></record> |
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| subjects | AMUSEMENTS CALCULATING CARD, BOARD, OR ROULETTE GAMES COMPUTER SYSTEMS BASED ON SPECIFIC COMPUTATIONAL MODELS COMPUTING COUNTING GAMES GAMES NOT OTHERWISE PROVIDED FOR HUMAN NECESSITIES INDOOR GAMES USING SMALL MOVING PLAYING BODIES PHYSICS SPORTS VIDEO GAMES |
| title | METHOD AND DEVICE FOR DEEP-LEARNING BASED COMPUTATION TIME MANAGEMENT OF GO GAME SERVICE |
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