浅议军事需求分析的规律和原则

军事需求分析有其自身活动的规律和原则,文章对军事需求分析的主要规律和原则进行了分析和总结,为从事军事需求分析的技术人员提供指导。     

混凝-UASB工艺处理豆制品废水的实验研究

针对豆制品生产的废水问题,采用混凝一UASB工艺处理豆制品废水．实验表明：选用自制混凝剂和PAM进行混凝沉降实验,最佳实验条件为：每100mL废水中混凝剂（DHX）的加入量为1．7mL;搅拌时间为10s;PAM加入量为0．3mL;沉降时间为20min．COD的去除率达到68．9％．在生化处理阶段,采用上流式厌氧污泥床反应器（UASB）,COD的容积负荷达到4．41kgCOD／m^3·d,COD的去除率在90％以上,出水达到《污水综合排放标准》（GB8978—1996）的一级排放标准．根据实验结果确定了生化反应的动力学参数．该工艺简单,处理效果较好,同时,对其他有机废水的处理具有借鉴意义．     

教学质量监控系统的设计与实现

该文分析了职业学校教学质量监控系统存在的必要性,采用了B/S结构,对其进行了设计与实现。本系统从系统分析、系统概要设计、系统详细设计与实现三个方面进行了描述。     

基于ASP的网络数据库访问技术研究

随着计算机网络技术的迅速发展,基于Web的数据库访问技术也在不断地升级和提高,ASP作为一种极为成熟普遍的数据库访问技术,得到了广泛的应用和推广。着重对基于ASP的网络数据库访问技术进行了研究分析。     

《计算机维修与维护》课程改革研究

《计算机维修与维护》课程是高职院校计算机专业的基础课程,其具有实践性强、对应用能力要求高、紧贴市场的特点。本文从就业为导向,能力为本位出发,对课程的课程设置、教学方法、考核方式进行研究。     

ADO．NET数据库访问技术

ADO．NET是．NET应用程序与数据库通信的桥梁,其使用XML来进行数据交换并加入了许多新的程序接口,使得数据库访问更加简单？通过C#程序说明ADO．NET数据库访问过程。     

MAML2: meta reinforcement learning via meta-learning for task categories

Meta-learning has been widely applied to solving few-shot reinforcement learning problems, where we hope to obtain an agent that can learn quickly in a new task. However, these algorithms often ignore some isolated tasks in pursuit of the average performance, which may result in negative adaptation in these isolated tasks, and they usually need sufficient learning in a stationary task distribution. In this paper, our algorithm presents a hierarchical framework of double meta-learning, and the whole framework includes classification, meta-learning, and re-adaptation. Firstly, in the classification process, we classify tasks into several task subsets, considered as some categories of tasks, by learned parameters of each task, which can separate out some isolated tasks thereafter. Secondly, in the meta-learning process, we learn category parameters in all subsets via meta-learning. Simultaneously, based on the gradient of each category parameter in each subset, we use meta-learning again to learn a new meta-parameter related to the whole task set, which can be used as an initial parameter for the new task. Finally, in the re-adaption process, we adapt the parameter of the new task with two steps, by the meta-parameter and the appropriate category parameter successively. Experimentally, we demonstrate our algorithm prevents the agent from negative adaptation without losing the average performance for the whole task set. Additionally, our algorithm presents a more rapid adaptation process within re-adaptation. Moreover, we show the good performance of our algorithm with fewer samples as the agent is exposed to an online meta-learning setting.     

Aggregation-induced emission luminogen-assisted stimulated emission depletion nanoscopy for super-resolution mitochondrial visualization in live cells

Nano Research - Aggregation-induced emission luminogens (AIEgens) are fluorescent agents that are ideal for bioimaging and have been widely used for organelle targeting, cellular mapping, and...     

工程装备仿真实体在行军过程中的聚合和解聚

在工程兵作战仿真中多分辨率模型的聚合与解聚问题一直是困扰不同层次仿真系统集成的瓶颈问题。该文以工程兵工程装备行军过程为例,对工程装备行军过程仿真中不同层次仿真模型的聚合与解聚问题进行了研究,分析了该仿真过程中所需模型的分辨率,分别就工程装备仿真实体位置、速度、状态及毁伤的聚合与解聚进行分析,同时给出了仿真实体位置、速度、状态及毁伤的聚合与解聚解决方法,这些方法简单实用,节省资源,效率高,对解决工程兵作战仿真中的模型聚合与解聚问题具有一定的参考价值。     

覆盖广义粗糙集模型研究

覆盖广义粗糙集理论是由Pawlak经典粗糙集理论在划分的基础上推广到覆盖建立起来的,它更能合理地描述信息的不确定性、不准确性和不完整性。本文给出覆盖广义粗糙集理论的6种基本模型,讨论每种模型的覆盖上近似运算并给出相关性质,最终给出模型之间的相互关系,从而补充和完善了覆盖广义粗糙集理论的公理化体系。