SerialBootSoC

与偏振无关光隔离器的插入损耗和隔离度的理论分析与实验研究(Theoretical analysis and experimental research with polarization-independent optical isolator insertion loss and isolation of)

发表在 The MIT Talbot 2013 Workshop 的论文 (Locally Laplace Isometries and Fibonacci Primes. this paper shows that there exists a reversible, unique and separable elliptic, Brahmagupta arrow. In this setting, the ability to study positive scalars is essential. Recent interest in partially ultra-positive domains has centered on deriving Pythagoras{Wiles scalars.)

excel教案 供大家使用 交流 特别是教育工作者们(excel lesson plans)

说明：  Recent advances in the relevant technologies of contemporary wireless sensor nodes has motivated a growth in the deployment of wireless sensor networks (WSN) for commercial, non-commercial and research applications. In the aforementioned applications, it is often prudent to frustrate unauthorised wireless communications with WSN nodes.

说明：  纹理映射，使用参数化的方法对模型展开，然后进行纹理的映射，实现真实感的渲染。(Texture mapping)

OFDM+CDMA的英文PPT，写的很不错 (OFDM+ CDMA English PPT, written by very good)

说明：  SAR图像斑点噪声抑制方法与应用研究，里面给出里处理Sar 影像的算法(SAR image speckle noise reduction methods and applied research, which is given to deal with Sar Imaging Algorithm)

光大证券--金融工程-股指期货量化交易策略研究：枢轴突破策略(Everbright Securities- financial engineering- Stock index futures quantify Trading Strategies: Pivot breakthrough strategy)

This is Technical overview CitectSCADA, it described the total technical details for the scada system.

针对传统煤矿节能减排优化模型选取的目标函数比较单一的问题,构建了涵盖经济效益、能源消耗、污染物排放量等目标函数的煤矿节能减排多目标优化模型,并应用基于改进的蝙蝠算法寻找3个目标函数之间的优化解,实现了经济效益最大化、能源消耗最低化、污染物排放量最少化的优化结果。仿真结果表明,相比于PSO-E、NSGA-II算法,改进的蝙蝠算法能够在较短的迭代步数内获取较高的个体适应度,且能够实现较佳的多目标优化结果,符合节能规划的目标需求。(Aiming at the problem that the objective function of the traditional coal mine energy saving and emission reduction optimization model is relatively simple, the multi-objective optimization model of coal mine energy saving and emission reduction is constructed, which covers economic benefit, energy consumption and pollutant emission. And the optimized solution is used to find the 3 target functions based on the improved bat algorithm, and the economy is realized. The optimization results of maximizing efficiency, minimizing energy consumption and minimizing pollutant emissions are achieved. The simulation results show that, compared with the PSO-E and NSGA-II algorithms, the improved bat algorithm can obtain higher individual fitness within a shorter iteration step, and can achieve better multi-objective optimization results, which is in line with the target demand of energy saving planning.)