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    • 6. 发明授权
    • 탄소분배체계를 가지는 예단적 낙엽수림 모의 시스템
    • KR101722850B1
    • 2017-04-05
    • KR1020150129647
    • 2015-09-14
    • 이화여자대학교 산학협력단
    • 최용상김현주박선기
    • G06Q50/02G06Q50/26
    • Y02P80/21
    • 본발명의실시예에따른예단적낙엽수림모의시스템은낙엽수림의총일차생산량을산출하는광합성모의부, 낙엽수림의호흡량을산출하는호흡모의부및 탄소분배모의부를포함할수 있다. 탄소분배모의부는개체당연간순일차생산량에기초하여잎의상대생장비율과뿌리의상대생장비율을각각산출하는상대생장비율산출부, 면적당연간순일차생산량, 잎의상대생장비율, 잎의순환율을기초로잎의연중최대생물량을산출하고면적당연간순일차생산량, 뿌리의상대생장비율, 뿌리의순환율을기초로뿌리의연중최대생물량을산출하는연중최대생물량산출부, 잎의생물량과잎의연중최대생물량에기초하여잎의생산량비율을산출하고뿌리의생물량, 뿌리의연중최대생물량및 잎의생산량비율에기초하여뿌리의생산량비율을산출하며, 잎의생산량비율과뿌리의생산량비율에기초하여줄기의생산량비율을산출하는생산량비율산출부및 순광합성량에잎의생산량비율, 뿌리의생산량비율과줄기의생산량비율을각각곱하여잎 생산량, 뿌리생산량및 줄기생산량을각각산출하는구성요소별생산량산출부를포함할수 있다.
    • 8. 发明授权
    • 식생 변동을 조절하는 예측 기상 인자들을 이용한 연간 식생 변동 예측 방법 및 장치
    • 使用先验气象因素预测植被变化的方法和装置调整植被变率
    • KR101410770B1
    • 2014-06-24
    • KR1020130035823
    • 2013-04-02
    • 이화여자대학교 산학협력단한국해양과학기술원
    • 최용상홍승범명복순박선기
    • G06F19/00
    • G06Q50/02A01G7/00
    • According to the present invention, an annual vegetation predicting method includes: a step of separately analyzing a correlation between a plurality of meteorological factors and the main ingredients of a plant activity phase mode (PM) and a plant activity intensity mode (AM) which are disassembled from the past vegetation index through an empirical orthogonal function analyzing method; a step of separately selecting at least one predictive meteorological factor determined to have a statistically meaningful correlation among the meteorological factors based on the correlative analysis of each prediction of plant activity intensity and plant activity phase; and a step of separately predicting the plant activity intensity and the plant activity phase based on the past data relating to the plant activity intensity and the plant activity phase, and the present and past data for the selected prediction meteorological factor.
    • 根据本发明,年度植被预测方法包括:分别分析多个气象因子与植物活动相模式(PM)和植物活动强度模式(AM)的主要成分之间的相关性的步骤,其为 通过经验正交函数分析方法从过去植被指数中拆除; 基于对植物活动强度和植物活动期的每个预测的相关分析,分别选择确定为具有气象因素之间具有统计意义的相关性的至少一个预测气象因子的步骤; 以及基于与植物活动强度和植物活动期相关的过去数据以及所选预测气象因子的当前和过去数据分别预测植物活动强度和植物活动期的步骤。