Analysis on the spatial ecological distribution model of landscape plant community

Because the spatial pattern of plant communities in garden landscapes usually exhibits highly non-random distribution characteristics, the accuracy of the analysis results is not high. For this purpose, a spatial ecological distribution model of landscape landform plant communities is designed. Based on the remote sensing images of landscape plant communities, the study area was obtained. The grassland communities in this area were classified and calculated by geostatistics, and the semi variogram values of typical samples of different vegetation types were obtained. According to the calculation results, the spatial terrain factors of landscape plant community are extracted, and the annual NDVI value is taken as the ecological vitality index of landscape green vegetation, the NDVI level is divided, the spatial ecological distribution model of landscape plant community is constructed, and the evaluation index system is generated, so as to complete the spatial ecological distribution model analysis of landscape plant community. The results show that the method of this study accurately analyzes the area of coniferous and broad-leaved mixed forest, mountain meadow, road, construction land, water area land and slope grade, which is slightly different from the actual value, indicating that the method has certain reliability.     

Paradigm and performance analysis of distributed frequent itemset mining algorithms based on Mapreduce

FrequentItemsetMining (FIM) is one of the most important data mining tasks and is the foundation of many data mining tasks. In Big Data era, centralized FIM algorithms cannot meet the needs of FIM for big data in terms of time and space, so Distributed Frequent Itemset Mining (DFIM) algorithms have been designed to meet the above challenges. In this paper, LocalGlobal and RedistributionMining which are two main paradigms of DFIM algorithm are discussed; Two algorithms of these paradigms on MapReduce named LG and RM are proposed while MapReduce is a popular distributed computing model, and also the related work is discussed. The experimental results show that the RM algorithm has better performance in terms of computation and scalability of sites, and can be used as the basis for designing the DFIM algorithm based on MapReduce. This paper also discusses the main ideas of improving the DFIM algorithms based on MapReduce.     

涡扇发动机最优加速控制规律

关于涡扇发动机最优加速控问题,由于状态系统存在较强的非线性,控制性能差,改善发动机加速性,传统非线性规划算法求解过程中因采用罚函数处理约束条件而无法充分搜索控制参数的可行域。为提高系统性能,并充分挖掘发动机的加速特性,采用Sigma方法的多目标粒子群算法求解。可以在带限制因子的粒子群算法的基础上,利用粒子群算法的快速寻优能力和Sigma方法沿约束边界的充分搜索方法,求解发动机加速过程中控制参数,并进行仿真。结果证明,采用多目标粒子群算法优化后,加速时间缩短了约2.01s,结果表明改进方法是可行的,能在确保发动机安全工作的前提下,进一步提升了发动机的加速性能。     

基于视频的车辆发现模块的研究与实现

针对现有的智能交通系统的车辆发现模块的不足,提出了车辆发现的一整套解决方案。综合使用了已有的视频处理技术及方法,背景差分法、帧间差分法、检测线方法,以及自适应边框的车辆精确定位等方法,设计实现了智能交通系统的车辆发现模块。设计了三种不同的真实场景的实验。通过对结果的分析表明,系统的车辆发现模块对于车辆的识别度高达90%以上,在一般的设备下流畅运行,能够满足车辆发现应用对系统的实时性的要求,并且适应性也较好。     

基于锁相放大器原理的基波无功检测方法研究

无功补偿控制系统需要快速、准确地检测出系统基波无功功率以及功率因数等参数,用以控制无功补偿设备输出系统所需的基波无功功率。针对现有检测方法受电网以及无功补偿设备本身产生的谐波影响而造成计算结果准确度降低、计算速度慢等问题,基于锁相放大器原理,提出一种适用于无功控制系统的快速、准确的基波无功功率以及功率因数检测方法;在Matlab上进行了仿真分析,对比了含有多种谐波时,不同信噪比下各参数的最大误差,并搭建了实验平台,以Fluke-435-II电能质量分析仪验证该方法的准确性;经仿真和实验表明,该方法可以在含有谐波时准确、快速地检测出系统的基波无功功率及功率因数,为无功补偿系统的无功检测提供了理论依据和实用方法。     

Boosting the Microbial Electrosynthesis of Acetate from CO2 by Hydrogen Evolution Catalysts of Pt Nanoparticles/rGO

Catalysis Letters - Microbial electrosynthesis (MES) is an effective approach to driving the CO2 reduction to multi-carbon organic products using renewable energy. In this work, the MES of acetate...     

基于论文作者署名位置的广义“陪护人效应”检测

学术论文中作者的署名顺序为研究作者的学术贡献提供了重要信息,根据作者署名位置确定文章的重要作者并对论文发表过程进行分析是科学学领域一项有意义的研究课题,如近年来提出的“陪护人效应”。该文分析了不同位置作者之间的差异性,将不同署名位置的作者(即第一、二、三作者、最后作者、通讯作者、倒数第二作者)分别定义为论文重要作者,对广义的陪护人效应进行了系统性检测和变化趋势研究。结果表明不同署名位置的作者都具有陪护人效应,通过计算不同位置作者与通讯作者之间的相似系数对陪护人效的差异性进行了解释,如综合性期刊的最后作者和通讯作者重合性较大,医学类期刊则是第一作者和通讯作者的重合性较大。该文研究有助于理解学术文章中作者的角色及贡献,进一步探索基于作者署名位置的科学学理论与方法。     

基于分水岭和区域合并的图像分割算法*

提出一种应用分水岭与区域合并相结合的图像分割算法.本方法首先利用数学形态学分水岭算法对图像进行分割,然后对分割后的图像进行相似区域合并,以减少分水岭方法产生的过分割现象,从而得到较好的分割效果.     

防治玉米田双斑长跗萤叶甲杀虫剂室内筛选及田间防效试验

[目的]筛选出防治双斑长跗萤叶甲成虫的低毒、高效药剂。[方法]采用浸虫法筛选12种杀虫剂防治双斑长跗萤叶甲成虫的室内活性,并通过大田试验进一步验证。[结果]室内筛选结果表明:呋虫胺的杀虫活性最高,在24、48 h的LC50值分别为0.5026、0.2159 mg/L;联苯菊酯、噻虫嗪、高效氯氟氰菊酯、啶虫脒、吡虫啉和毒死蜱对双斑长跗萤叶甲成虫的杀虫活性次之,苦参碱和蛇床子素24、48 h均无杀虫活性。田间防效试验表明:6种杀虫剂对双斑长跗萤叶甲均有较好的防治效果,其中高效氯氟氰菊酯和啶虫脒在药后7 d,防治效果达到100%。[结论]菊酯类和新烟碱类杀虫剂在室内生物活性和田间防效试验中对双斑长跗萤叶甲表现出优异防治效果,可在田间进一步推广使用。