Hilbert空间中连续广义框架的分解

利用连续广义预框架算子,刻画了连续广义框架、Parseval连续广义框架、连续广义Riesz基及连续广义标准正交基;通过已建立的刻画结果及有界算子的分解,得到了连续广义框架可以表示特殊的或者更简单的连续广义框架的线性组合,比如连续广义标准正交基、连续广义Riesz-基、Parseval连续广义框架。     

无人机遥感植被覆盖度提取方法研究综述

在介绍了无人机平台及携带的多种传感器的基础上,总结了无人机遥感提取植被覆盖度的算法,并将算法分成了三大类:颜色空间法、植被指数法和机器学习分类法;针对无人机遥感提取植被覆盖度所存在的问题及发展趋势进行了讨论.结果表明:颜色空间法能有效消除无人机图像中亮度和饱和度等因素的干扰;植被指数法原理简单,且具有良好的精度,是应用最广泛的方法;机器学习分类法适用于不同传感器获取的图像且提取精度高.     

基于 Λ 型原子的纠缠态融合研究综述

量子纠缠描述2个或多个系统间非局域、非经典的关联.由于多粒子纠缠态的量子非局域性比2粒子纠缠态的强,因此其在量子信息中应用更广泛.在Λ型3能级原子中,处于低能态原子的自发辐射能有效抑制,因此可将量子信息编码在Λ型3能级原子的2个基态上.该文介绍纠缠态融合的概念,综述基于融合机制制备Λ型3能级原子纠缠态的几种方案,最后给出总结与展望.     

基于区块多源时空数据的道路网密度预测模型

城市化进程与人口增速的不协调导致了城市蔓延现象,为科学合理地统筹引导道路建设,缓解城市蔓延引发的交通拥堵和环境污染,需要对建成区的道路网指标进行精细化管理.以道路网密度为例,考虑道路建设进度和政策实施惯性,构建基于深度学习的区块化时空数据预测模型Bi-Convlstm2DNet,与之对应地构造基于区块的多源数据融合流程,并以某市为例进行实验.将该市时序的土地覆盖、人口和道路网拓扑结构融合为时空多源数据集,而后在数据集上将本模型同其他经典预测模型进行参数标定和对比.研究结果表明,BiConvlstm2DNet在该数据集上得到的准确率为91.5％,较支持向量回归和随机森林回归等模型的准确率平均提升了8.0％,是一种分区块预测建成区道路网指标的可靠模型.     

Application of FAHP and Artificial Neural Network on Clothing Plant Location

Clothing manufacturers＇ direct investment and joint ventures in developing regions have seen to grow rapidly in the past few decades. Non-optimized selection can contribute to adverse effects affecting the performance of the plants on aspects of productivity, manufacturing and logistics cost. Selection of proper plant location is thus crucial. The conventional approaches to sites location are based on the factors and their weights. However, determining the weight of each factor is very difficult and time consuming. While the situation is changed, all the work must be redone again. This study aims to develop a decision-making system on clothing plant location for Hoog Kong clothing manufacturer. The proposed system utilizes artificial neural network to study the relationship between the factors and the suitability index of candidate sites. Firstly, the factors are stratified using the fuzzy analytical hierarchy process （FAHP） by review the related references and interviewing the experts. Secondly, the corresponding data are collected from the experts by questionnaire and the related government publication. Finally, the feedforward neural network with error backpropagation（EBP） learning algorithm is trained and applied to make decision. The results show that the proposed system performs well and has the characteristic of adaptability and plasticity.     

企业关键岗位管理人员甄选定性模拟方法及原型系统

综合集成多种定性模拟、数学方法和博弈论纳什均衡的思想,设计了企业关键岗位管理人员甄选定性模拟方法,开发了原型系统,包括:借鉴模糊数学和QSIM算法的思路表述定性变量;采用定性因果推理的思路表述管理人员与人群之间的作用关系(包括推理规则);将管理人员与人群之间的相互作用看作是一种博弈过程,对该过程实现定性模拟,为了将在博弈过程的定性模拟中产生的不合理的状态转换过滤掉,利用了Matlab的BP神经网络工具,并提出了人群心理安全均衡的概念;设计了模拟步骤和应聘者的评分法.为了实现上述思路与方法,集成VB6.0和Matlab6.10开发了一个原型系统.     

大蒜的药理作用

大蒜是百合科属植物的鳞茎,具有多种药理作用,如抗菌、抗病毒、抗氧化、免疫以及抗肿瘤作用,其中抗肿瘤作用的机制不尽相同,其在抗肿瘤方面有着广阔的前景。     

A Coordination Model of Gene Sequences for SARS-CoV and its Receptor

IntroductionFrom the emergence of SARS CoV, manystudies havebeen done on its biological medicine aspects, such aspathogeny characteristics, mechanisms of causing disease,clinic diagnosis and treatment, bacterin development andthe spreading rules. At the level of molecule biology,studies have been done on its genome sequences characteristics, structures and functions of the translatedproteins, and the evolution relationships in sequences[1 5].The caus…