OFDM系统中最大似然调制识别算法研究

对观测样本进行非线形变换,提出了基于子载波和子载波组的OFDM系统最大似然调制识别算法,解决了载波频偏引起最大似然调制识别算法性能急剧下降的问题.仿真结果表明,当归一化频偏小于0.15时,该算法具有良好的识别性能.     

消费品生命周期隐患识别与风险评价的三维矩阵方法

面对近年我国产品质量安全事故频发、消费者人身安全与健康遭受不同程度的威胁以及出口产品不时被召回或退回的问题，给出了一种基于消费品生命周期和事故致因的隐患识别及表征方法，有助于提升人们对消费品危害规律的认知水平并为消费品风险评价奠定基础. 考虑到事故伤害受体的能力和行为会对消费品缺陷或隐患演化及事故伤害后果产生重要影响，在常规风险评价二维矩阵的基础上，加入风险受体的脆弱性要素，提出了消费品风险评价的三维矩阵方法，能够更好地表征消费者能力与行为等主观要素对消费品隐患事故及危害的影响作用. 以家用电器风险评价为例，基于欧盟非食品类消费品快速预警系统（RAPEX）对中国消费品通报信息分析和专家评价打分，形成了消费品评价三维风险矩阵，分析了家用电器的风险规律，为消费品的风险评价提供了新思路、新方法.     

基于RFID技术的安全跟车系统

为了提高行车安全性,基于RFID技术提出了一种安全跟车系统(SCFS).在此系统中,RFID标签部署在道路表面,为安装有RFID读卡器的车辆提供道路信息.系统根据标签中存储信息的时间特性,利用时间序列预测法,预测前车的行驶状态并估测两车之间的道路距离;结合当前行驶状态对车速进行适当调整,以保证行车安全.本文给出了3个系统性能评价指标,并进行仿真实验.结果表明,SCFS系统能够在不同跟车行驶状态下保证行车安全,避免追尾碰撞的发生.     

一株高效絮凝剂产生菌的分离和鉴定

应用多相分类手段对絮凝菌株XHUA9进行了分类研究,并对分离提纯的发酵产物进行紫外和红外分析.基于16S rRNA基因序列的系统发育分析表明,该菌和模式菌株Paenibacillus hunanensis的序列同源性为96.7%,基因组DNA-DNA同源性杂交值为51.6%.菌株的主要极性脂肪酸为双磷脂酰甘油、磷脂酰甘油、磷脂酰乙醇胺和磷脂酰肌醇.菌株优势醌为MK-7,主要优势脂肪酸为anteiso-C15:0和C16:0.菌株(G+C)摩尔分数为51.9%.根据上述结果,菌株XHUA9鉴定为类芽孢杆菌属内的新种,命名为Paenibacillus shenyangensis sp.nov..紫外扫描和红外检测等结果表明,菌株XHUA9所产絮凝剂的主要成分为多糖类物质.     

Phylogenetic relationships of millipedes in the subclass Penicillata (Diplopoda) with a key to the genera

Bristly millipedes (subclass Penicillata, order Polyxenida) are minute diplopods characterised by uncalcified cuticle and a body covered with unique tufts of bristles. The order is found worldwide and comprises less than 200 described species divided into three families, with many of the species and genera being poorly known. The first evolutionary analysis of the order presented here utilises both molecular (COI, 18S rRNA and 16S rRNA) and morphological data to examine monophyly of the families and subfamilies and the evolutionary relationships between them. Maximum likelihood analysis was based on molecular data only, whereas parsimony analyses were based on molecular data as well as combined morphological and molecular data. The results of these analyses with two different optimality criteria were incongruent in many aspects. Unlike parsimony, the likelihood result found strong support for a basal position of the family Synxenidae and separation of the order into two monophyletic clades corresponding to the two superfamilies Synxenoidea, containing the family Synxenidae, and Polyxenoidea, containing the families Polyxenidae and Lophoproctidae. Parsimony results did not support the existence of the two superfamilies. Both analyses resolved the family Synxenidae as monophyletic and Polyxenidae as polyphyletic, whereas the family Lophoproctidae was shown to be paraphyletic in likelihood and monophyletic in parsimony analysis. The subfamilies Monographinae and Polyxeninae were found to be monophyletic in the likelihood tree but parsimony suggested paraphyly of both. The results suggest that further revision of the systematics of the Polyxenida may be necessary. However, a much larger molecular data set will be necessary to clarify and provide stronger nodal support for phylogenetic trees and to confirm the relationships, particularly of the families Polyxenidae and Lophoproctidae. Molecular identification is likely to be an important tool for this taxonomically challenging order in future. A simplified key to the genera is provided.     

连采移动设备主动安全识别系统

面对井下交通安全管理多有盲区的现状,一套可自动区别人体与煤层的设备成为保证连采工作面安全生产的必备品,文章阐述了主动安全识别系统的理论及实施方案。     

Parameter estimation for dual-rate sampled Hammerstein systems with dead-zone nonlinearity

The identification of nonlinear systems with multiple sampled rates is a difficult task.The motivation of our paper is to study the parameter estimation problem of Hammerstein systems with dead-zone characteristics by using the dual-rate sampled data.Firstly,the auxiliary model identification principle is used to estimate the unmeasurable variables,and the recursive estimation algorithm is proposed to identify the parameters of the static nonlinear model with the dead-zone function and the parameters of the dynamic linear system model.Then,the convergence of the proposed identification algorithm is analyzed by using the martingale convergence theorem.It is proved theoretically that the estimated parameters can converge to the real values under the condition of continuous excitation.Finally,the validity of the proposed algorithm is proved by the identification of the dual-rate sampled nonlinear systems.     

毛乌素沙地上空沙尘暴的前向轨迹及其影响范围

基于气象数据、MODIS遥感影像数据和NCEP再分析资料, 利用HYSPLIT模型模拟2000—2019年毛乌素沙地上空不同海拔高度(500, 1000和1500 m)各季节沙尘暴的前向轨迹, 并与遥感影像识别出的沙尘信息进行比较, 识别毛乌素沙地沙尘暴的影响范围。结果显示: 1) 在过去的20年中, 共有143个沙尘暴月和387个沙尘暴日, 并且 2004 年以来, 毛乌素沙地发生沙尘暴的频率逐渐降低; 2) 季节性气候条件对毛乌素沙地沙尘暴的移动路径有很大的影响, 春季沙尘暴发生频率较高, 秋季发生频率最低; 3) 受毛乌素沙地沙尘暴影响的国内地区主要包括陕西省北部、山西省北部、河北省北部和中部、山东省北部和中部、北京市、天津市、内蒙古自治区东部以及东北三省, 国外受影响的地区有朝鲜、日本北部以及俄罗斯与我国交界处, 受影响的海域有渤海、黄海北部和日本海西北部。遥感影像与HYSPLIT模型的比较提供了一种对沙尘运输、扩散和沉积过程进行验证和加深了解的有效工具, 研究结果可以为防灾减灾决策及沙源地治理提供科学的参考依据。     

基于基因算法的用于系统识别的测试信号的设计

详细介绍了如何用Matlab实现基因算法生成两个不同的具有最小峰值的测试信号,并且把这两个不同的测试信号输入到一个识别工具箱里,通过检验输出的结果来确定这两个测试信号是否适合用作特殊系统的识别.本文所用基因算法产生的测试信号如预期的一样具有最小峰值,但当把这两个测试信号输入到识别工具箱之后,估计系统的矩阵特征值与原始系统的矩阵特征值有很大的差距.产生这种差异的原因主要有两个,一个可能是产生这两个测试信号的长度不够,另一个可能是这两个测试信号非正交.     

血橙中花色苷及黄酮类物质的结构鉴定

本文利用化学定性反应、HPLC-MS、GC以及FTIR等方法对血橙中花色苷及黄酮类化合物进行了鉴定。结果表明,血橙中主要含有8种花色苷和4种黄酮类物质,矢车菊素-3-葡萄糖苷和矢车菊素-3（6＂-丙二酰）葡萄糖苷是血橙中主要花色苷,芸香柚皮苷和橙皮苷是血橙中主要的黄酮类物质。