HP Enterprise Cloud Services portal - administration portal providing operational visibility, performance and configuration parameters.
HP企业云服务门户——管理门户提供了运维的可见性、绩效及配置参数。
When the cloud program starts, it immediately checks to see whether any command-line parameters have been passed to it.
当cloud程序启动后，它将立即检查是否有任何命令行参数被发送给它。
An analytic model is developed by using solar radiation transfer equation to study shortwave radiation parameters of regular cloud array.
本文使用短波辐射传输方程建立分析模式研究规则排列块状云阵的短波辐射参数。
The method in this paper can be used to predict parameters of combustible cloud explosion.
文中所用的方法可为实际气云爆炸场提供参数预测。
For explosion process of gas cloud in closed vessels, flow field parameters, such as pressure, velocity, density, temperature, concentration and so on, vary with time and space.
对于球形密闭容器内气云的爆炸过程，压力、速度、密度、温度、浓度等流场参数均随时间、空间而发生变化。
Tests are made for the effects of wind field, cloud cover and soil parameters on fog cycle.
最后，就不同风场、云层覆盖及土壤参数等对雾过程的影响进行了讨论。 现在工作单位。
At last, an effective algorithm model taking advance of a skillful encoding method is designed and called ACGA with self-adaptation adjustment of parameters based on cloud models.
最后，针对模型的具体特点，设计模型解的编码方式，并采用基于云模型的参数自适应蚁群遗传算法进行仿真，结果表明了模型和算法的有效性。
The snow Cover Depletion Curve based on remote sensing is one of the most important parameters of snow-runoff simulation models. Cloud is the major factors that affect the accuracy of snow mapping.
根据遥感数据获得的雪盖消融曲线是输入到融雪径流模型中一个最重要的参数，云是影响积雪解译精度的主要因素。
A hail cloud model that is two dimensional elastic non hydrostatic, USES a terrain following coordinate system and includes double parameters for ice phase microphysics, has been developed.
建立了一个适用于复杂地形的冰雹云模式。模式是二维、弹性、非静力、采用地形跟随坐标、包含双变参数冰相微物理过程参数化。
The effects of various parameters for macro- and micro-scale, sublimation, rimming and multiplication on cloud physics elements and precipitation are examined and the effects of seeding are simulated.
考察了宏微观参数和冰的凝华、淞附和繁生等过程对云中要素分布和降水的影响。并作了不同条件下播云的数值试验。
Cloud optical thickness and effective particle radius are the important parameters to parameterize the cloud optical properties.
云的光学厚度与有效粒子半径是云光学属性参数化方案中的重要参数。
In order to reduce the delay of cars passing through intersections, control strategies are set up by cloud model and some parameters of the control model are improved by Q-learning method.
为了减少车辆通过路口的延误，采用云模型建立控制策略，运用Q -学习改进控制模型的参数。
In order to reduce the delay of cars passing through intersections, control strategies are set up by cloud model and some parameters of the control model are improved by Q-learning method.
为了减少车辆通过路口的延误，采用云模型建立控制策略，运用Q -学习改进控制模型的参数。
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