dd-160128fc-2a.pdf.tar

工程领域中的格子波尔兹曼方法，很经典的书籍，内含较多的代码(Engineering fields Lattice Boltzmann Method, classic books, containing more code)

了解吉尔法解常微分方程组的数学方法，并熟悉它在实际中的应用。(Jill law understanding of ordinary differential equations solution of the mathematical methods, and are familiar with it in practical applications.)

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)

Literature Review on Linguistic Fuzzy Neural Models. It can be very useful for Fuzzy Nural network based application.

本PPT着重研究了当前手游行业推广渠道的各种方式以及每种方式的利弊(The PPT focuses on the current hand travel industry marketing channels as well as the various ways the pros and cons of each approach)

enhanced DEEC matlab code for WSN

混合动力汽车（HEV）是在电动汽车发展过程中出现的一种低油耗、低排放、续驶历程长、价格适中，兼具纯电动汽车和传统燃油汽车优点的新型汽车，由于在技术、经济和环境等方面的综合优势，HEV 被认为是目前最切实可行的清洁汽车方案。本文以混合动力轿车项目及其整车控制系统子课题为背景，主要研究HEV 的控制策略及其在实车上的应用。包括用matlab对汽车及其控制系统建模优化。(Hybrid electric vehicle (HEV) is in the process of development of electric vehicles the emergence of a low fuel consumption, low emission, long-driving course, affordable, both pure electric vehicles and conventional fuel vehicles the benefits of new cars, due to technical, economic and environmental aspects of the comprehensive advantages, HEV is considered to be the most viable clean vehicle program. In this paper, hybrid cars and the vehicle control system sub-project issues as background, the main research HEV control strategy and its application in the real car. Including the use of matlab modeling of the vehicle and its control system optimization.)

最新的物联网的前沿研究讨论，对物联网的发展有一定参考意义。(The latest cutting-edge research of Internet of things to discuss, has certain reference significance to the development of the Internet of things.)

我上传了《云计算核心技术剖析》一书的pdf版本，供广大研究云计算方面的朋友参考(I uploaded the PDF version of "Cloud Computing Core Technology Analysis" for the reference of friends who study cloud computing.)

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.)