3维Maxwell方程局部1维多辛格式的能量恒等式

在理想导体边界条件下,对3维Maxwell方程的局部1维多辛Preissman格式的能量守恒性质进行研究.运用能量分析法推导了2个能量恒等式,这些恒等式说明了给出的格式在所定义的离散范数下是能量守恒和无条件稳定的,数值算例验证了结论的正确性.     

谈英语阅读中捷效寻读教学及能力的培养

根据对一些学生的日常阅读情况的观察和阅读理论最新的研究成果 ,以及心理学的相关理论的分析 ,提出应该加强捷效寻读技能的教学 ,从理论和实践上提出了相应的方法。     

A New Integrated Design Method Based on Fuzzy Matter-Element Optimization

This paper puts forward a new integrated design met ho d based on fuzzy matter-element optimization.On the based of analyzing the mod el of multi-objective fuzzy matter-element , the paper defines the m atter-element weightily and changes solving multi-objective fuzzy optimization into solving dependent function K(x) of the single-objective optimization according to the optimization criterion. The paper particularly describes the realization approach of GA process of multi -objective fuzzy matter-eleme...     

基于广义混沌同步的数字图像隐藏方案

基于广义混沌同步理论，提出了一种适于网络图像传输的隐藏数字图像的安全通讯方案．构造了一个六维广义混沌同步系统作为新方案的加密器，理论分析和计算机模拟说明本方案具有较高的保真度和较强的抗破译能力．     

水电工程规划设计方案的自动生成及评价

本文介绍了在水电工程规划设计时，如何利用三次自然样条插值函数在有限个方案的基础上自动生成无限多个方案，然后采用多目标综合决策模型在其中选择最优方案的一种方法．文中还给出了程序流程，并以某水电站正常蓄水位选择作为实例，对方法进行了验证，结果与专家决策完全吻合．     

马房沟提水工程首部引水枢纽优化设计

为使工程布置和建筑物设计更趋经济实用、安全合理，文章从引水工程布局、运行调度、工程投资、管理维护等方面对马房沟提水工程首部引水枢纽的设计方案进行了优化比选。     

投产采区片盒斜井开准方式应用分析

本文以资兴满春岭井为例，运用方案比较法系统分析了笔者提出的“投产采区片盘斜井开拓准备方式”，指出该法简化了开拓部署，改革了采区布置，具有明显的社会经济效益，尤其适合在南方小井推广。图２，表１，参４。     

展览建筑中受众选择性注意的应用研究

分析了展览建筑设计中受众选择性注意的社会因素,提出了展览建筑设计中针对受众选择性注意的设计原则。     

后湾水库除险加固方案分析

探讨了后湾水库除险加固工程的原枢纽方案和原枢纽加泄洪洞方案,通过对工程地质、施工条件、运行管理、工程投资等多方面综合分析,最终选用了原枢纽方案。     

Learning attention-based strategies to cooperate for multi-agent path finding

Multi-agent path finding (MAPF) is a challenging multi-agent systems problem where all agents are required to effectively reach their goals concurrently with not colliding with each other and avoiding obstacles. In MAPF, it is a challenge to effectively express the observation of agents, utilize historical information, and effectively communicate with neighbor agents. To tackle these issues, in this work, we proposed a well-designed model that utilizes the local states of nearby agents and outputs an optimal action for each agent to execute. We build the local observation encoder by using residual attention CNN to extract local observations and use the Transformer architecture to build an interaction layer to combine local observations of agents. With the purpose of overcoming the deficiency of success rate, we also designed a new evaluation index, namely extra time rate (ETR). The experimental results show that our model is superior to most previous models in terms of success rate and ETR. In addition, we also completed the ablation study on the model, and the effectiveness of each component of the model was proved.