基于多尺度熵和动态时间规整的步态身份识别

针对现有人体步态身份识别算法单一、准确率较低的问题,提出了一种基于多尺度熵和动态时间规整（DTW,dynamic time warping）的人体步态身份识别方法。采用自制的APP软件在较低采样率下采集人体步行加速度数据,实验中共采集50名志愿者的正常行走加速度数据,使用多尺度熵算法进行数据处理,得到在各个尺度下的熵值,最后采用DTW算法对多尺度熵值进行特征匹配,得到的相对错误率（EER,equal error rate）为13.7%,仿真结果表明基于多尺度熵和DTW算法相结合的方法较好提高了身份识别的准确率,为人体步态身份识别提供了一个新的思路。     

头孢孟多酯钠的波谱学特征和结构确证

建立了利用分析仪器确证头孢孟多酯钠化学结构的方法。通过元素分析仪分析头孢孟多酯钠的元素组成,并利用核磁共振（NMR）、质谱（MS）、红外光谱（IR）、紫外光谱（UV）对头孢孟多酯钠进行结构分析。通过解析确证,头孢孟多酯钠的结构为7-D-( 2-甲酰氧苯乙酰胺)-3-［(1-甲基-1H-四唑-5-基)巯甲基］-8-氧代-5-硫杂-1-氮杂双环[4.2.0]辛-2-烯-2-甲酸盐。该方法准确可行,可为头孢孟多酯钠的结构鉴定提供依据。     

面向球头铣刀多轴铣削加工的铣削力系数辨识

提出了一种适用于球头铣刀多轴铣削加工的铣削力系数辨识方法.首先,将剪切力系数考虑为轴向位置角κ的多项式函数,推导了基于平均铣削力的铣削力系数辨识模型.然后,设计了多组刀具轴线与工件表面夹角不同的槽切铣削实验来实现铣削力系数辨识,以保证通过实验辨识得到的铣削力系数包含了球头铣刀不同姿态切削对铣削力的影响因素.最后,通过实验验证了该方法的正确性和可靠性.实验结果表明,该辨识方法相比于基于瞬时铣削力的辨识方法具有更好的抗干扰能力和更高的辨识精度,适用于球头铣刀多轴铣削加工的铣削力预测.     

System deployment optimization in architecture design

Optimization of architecture design has recently drawn research interest. System deployment optimization （SDO） refers to the process of optimizing systems that are being deployed to activi- ties. This paper first formulates a mathematical model to theorize and operationalize the SDO problem and then identifies optimal so- lutions to solve the SDO problem. In the solutions, the success rate of the combat task is maximized, whereas the execution time of the task and the cost of changes in the system structure are mini- mized. The presented optimized algorithm generates an optimal solution without the need to check the entire search space. A novel method is finally proposed based on the combination of heuristic method and genetic algorithm （HGA）, as well as the combination of heuristic method and particle swarm optimization （HPSO）. Experi- ment results show that the HPSO method generates solutions faster than particle swarm optimization （PSO） and genetic algo- rithm （GA） in terms of execution time and performs more efficiently than the heuristic method in terms of determining the best solution.     

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。