Boe Technology Group Co., Ltd.

Beijing Baidu Netcom Science Technology Co., Ltd

China National Offshore Oil Corporation

Chinese Academy of Forestry

Cotec, Inc

Offshore Oil Engineering Co., Ltd.

Weiwei Liu

Wei Li

Ming Wang

Yang Li

Dianhai Yu

Yanjun Ma

Jin Wang

Gang Liu

Zhigang Li

Xiaoguang Hu

Yuning Du

Yong Luo

Ke Tang

Qiwen Liu

Dawei Li

Lijuan Cui

Ruoyu Guo

Manyin Zhang

Ran Bi

Jiannan Li

Xinsheng Zhao

Qiao Zhao

Facheng Wang

Yawen Tang

Lisha Dou

Huan Lv

Shuang Gao

Ziliang Guo

Zhanqiu Yue

Xiaoting Yin

Henian Wang

Daan Wang

Yigong Zhang

Xiaohuan Zhu

Xiangwei Meng

A method for restoring waterbird habitats based on the 'ecological leverage' theory is provided. The method includes: Step 1: Determining a target waterbird habitat to be restored based on the ecological environment of a target wetland area; Step 2: Selecting several suitable basic ecological units that are distributed in a scattered, circular, or S-shaped pattern from the target wetland area; Step 3: Optimizing the environment of the selected basic ecological units according to the target waterbird habitat; Step 4: Conducting long-term monitoring of the ecological environment and waterbird population of the optimized ecological units, assessing the restoration of the waterbird habitat, and further optimizing the ecological units based on the assessment results. The method of the present invention achieves an enhancement in waterbird diversity within a region with the minimum ecological space and waterbird habitat restoration efforts.

Method for restoring waterbird habitats based on ecological leverage theory

There is provided a method and apparatus of training a model, a device, and a medium, which relate to artificial intelligence, and in particular to a deep learning and image processing technology. The method may include: determining a plurality of augmented sample sets associated with a plurality of original samples; determining a first constraint according to a first model based on the plurality of augmented sample sets; determining a second constraint according to the first model and a second model based on the plurality of augmented sample sets, wherein the second constraint is associated with a difference between outputs of the first model and the second model for one augmented sample, and the first model has a complexity lower than that of the second model; training the first model based on at least the first constraint and the second constraint, so as to obtain a trained first model.

Method and apparatus of training model, device, medium, and program product

A method for controlling an application instance to be online or offline includes: acquiring target indication information, the target indication information including an identification of a target application instance; according to the target indication information and stored target instances, determining an online or offline control instruction of the target application instance, wherein the target instances including application instances that are started and are in an offline state; and according to the online or offline control instruction of the target application instance, controlling the target application instance to be online or offline.

Methods for controlling application instance to be online or offline, electronic device, and storage medium

A real-time analysis system for operation of working ship based on ship attitude measurement includes: a central processing unit (); a position monitoring unit () for detecting and providing position-attitude information and heading information of the working ship at a predetermined time, and the position-attitude information and heading information of the working ship at a predetermined time is provided to the central processing unit (); a manual data input unit () connected to the central processing unit () and capable of providing the pipeline model data to the central processing unit () in a manual input method; and a display unit () connected to the central processing unit () which displays the dynamic response data of the pipeline according to the processed data provided by the central processing unit ().

Real-time analysis system for operation of working ship based on ship attitude measurement

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Beijing, China

Weiwei Liu