腐乳发酵过程中微生物群落结构的ERIC-PCR指纹图谱分析

为了建立一种不依赖纯培养、可以在腐乳发酵工业现场使用的监测微生物群落结构变化的分子技术,以腐乳发酵过程的4个阶段(前发酵、盐胚、盐水胚和后发酵阶段)的微生物群落为研究对象,获得了腐乳发酵物总DNA的肠杆菌基因间共有重复序列-聚合酶链式反应(ERIC-PCR)指纹图谱.图谱分析表明:同一批次不同发酵阶段的样品在500、750 bp处均存在特征性条带,说明在整个腐乳发酵过程中某些微生物种群始终发挥着作用;不同发酵阶段具有各自特有的特征条带;对于连续4周取的不同批次的样品,其对应的各个发酵阶段的ERIC-PCR指纹图谱具有较好的相似性,Sorenson配对相似性系数(Cs值)在59%~100%之间.     

广义随机2-D离散系统的统计特性

广义随机2-D离散系统的研究因系统的复杂性而进展缓慢。为对该系统的状态向量估计和最优控制进行后续研究，该文利用系统的状态变量表达式，讨论系统状态的统计特性。在系统具有正则无穷远极点和奇异无穷远极点的条件下，得到了系统状态向量的均值、方差阵及协方差阵的计算公式。     

两步亲和层析纯化限制性核酸内切酶Bsp 63Ⅰ

以Ｂａｃｉｌｌｕｓ ｓｐｈａｅｒｉｃｕｓ６３为材料,采用ＤＮＡ－Ｓｅｐｈａｒｏｓｅ４Ｂ和ＣｉｂａｃｒｏｎＢｌｕｅＦ３ＧＡ－Ｓｅｐｈａｒｏｓｅ４Ｂ两步亲和层析,分离纯化得到电泳均一纯限制性核酸内切酶Ｂｓｐ６３Ⅰ。酶的得率约为１３０单位／ｇ湿菌,比活力高达６１４００单位／ｍｇ蛋白。还报道了ＤＮＡ－Ｓｐｅｈａｒｏｓｅ４Ｂ两种亲和吸附剂制作方法的改进。     

基于面部曲线特征融合的三维人脸识别

针对三维人脸识别,提出了一种基于面部等测地轮廓线并结合局部特征和整体特征的人脸识别方法.首先,在人脸中提取到鼻尖点等测地距离的点组成等测地轮廓线来表征人脸面部曲面;然后,根据重采样后轮廓线上点的邻域信息提取局部特征,根据轮廓线的整体形状信息提取人脸整体特征;最后,分别利用比较局部特征和整体特征,将比较结果在决策级融合,给出最终识别结果.所提算法在FRGC(face recognition grand challenge)v2.0数据库上进行测试,测试结果表明,特征融合后的识别性能优于单一特征的识别率,且具有较好的表情鲁棒性.     

悬挂系统阻尼非对称性对车身振动的影响

采用瞬态信号等效替换随机激励的方法,通过计算讨论车辆在路面随机激励下双作用减振器阻尼的非对称性对车身振动的影响,并讨论了车辆在路面冲击激励下阻尼非对称对车身振动加速度响应的峰值以及总能量的影响。     

基于协处理器的无线传感器网络MAC设计

提出了一种基于协处理器的媒介访问控制(MAC)体系结构.将不同MAC协议的信道争用机制映射为协处理器内部的软件程序.其特点是兼容IEEE802.15.4协议,利用可编程协处理器增强MAC的可重用性,能支持自适应睡眠媒介访问挖制(S-MAC)、超时媒介访问控制(T-MAC)等无线传感器网络MAC协议.阐述了基于协处理器实现避免冲突的载波侦听多路访问(CSMA-CA)算法、S-MAC和T-MAC协议的方法.并在此基础上分析了CSMA-CA算法的软件时延.在现场可编程门阵列(FPGA)上实现整个MAC,实际测试结果表明:该MAC支持多协议,数据传输速率达20～250 Kbit/s,适应IEEE802.15.4协议要求.面积仅为30 567个等效门.     

基于Windows平台的向量网终端实现技术

讨论基于Windows平台的向量网终端的设计与实现技术.首先提出了一种向量网终端的软件实现方法及向量网与IP网融合的IP over VN方法;然后利用NDIS驱动接口,设计并实现了向量网驱动模块;最后搭建实验网络,对向量网终端的功能进行了测试,测试结果验证了向量网终端设计与实现方案的合理性;为向量网的部署奠定了基础,也为同类系统的开发提供了范例.     

含预测和容错的自适应Kalman目标跟踪

针对模型不准确时,传统Kalman滤波目标跟踪算法精度有限甚至发散的问题,研究了基于新息协方差在线匹配技术的自适应Kalman滤波算法,提高跟踪精度;并以Kalman滤波估计的目标位置为基础,利用一步Kalman预测得到下一时刻目标可能的位置范围,避免对整幅后帧图像进行遍历搜索,减小了计算量;为了避免存在干扰时异常量测对目标跟踪的影响,研究了量测信息异常检测算法,以Kalman预测的量测代替异常量测,增强抗干扰能力。实验证明,所提算法能够有效提高目标跟踪的精度和鲁棒性。     

Fine-grained and heterogeneous proxy re-encryption for secure cloud storage

Cloud is an emerging computing paradigm. It has drawn extensive attention from both academia and industry. But its security issues have been considered as a critical obstacle in its rapid development. When data owners store their data as plaintext in cloud, they lose the security of their cloud data due to the arbitrary accessibility, specially accessed by the un-trusted cloud. In order to protect the confidentiality of data owners＇ cloud data, a promising idea is to encrypt data by data owners before storing them in cloud. However, the straightforward employment of the traditional encryption algorithms can not solve the problem well, since it is hard for data owners to manage their private keys, if they want to securely share their cloud data with others in a fine-grained manner. In this paper, we propose a fine-grained and heterogeneous proxy re-encryption （FH- PRE） system to protect the confidentiality of data owners＇ cloud data. By applying the FH-PRE system in cloud, data owners＇ cloud data can be securely stored in cloud and shared in a fine-grained manner. Moreover, the heteroge- neity support makes our FH-PRE system more efficient than the previous work. Additionally, it provides the secure data sharing between two heterogeneous cloud systems, which are equipped with different cryptographic primitives.     

Wavelet fractal character of overlapping signal

A new method based on the combining of the wavelet theory with the fractal theory and named wavelet fractal peak position method (WFPPM) is introduced to extract the number of the components and the relevant peak positions from overlapping signals in chemistry .The overlapping signal is first transformed into continuous wavelet transform value of time domain in certain dilation range via continuous wavelet transform (CWT),and then changed into capacity dimensions (Dc),The number of the components and the relevant positions of overlapping peaks can be identified easily according to the change of Dc.An investigation concerning the influence of different dilation ranges on the peak positions extracted by WFPPM is also provided .Studies show that the WFPPM is an efficient tool for extracting the peak positions and identifying the number of peaks from unresoloved signals,even when this kind of overlapping is significantly serious,Relative errors of lless than 1.0% in peak positions are found when WFPPM is used in the processing of the cadmium (Ⅱ)-indium(Ⅲ) mixture system .The analytical results demonstrate that the desired peak positions can be extracted conveniently ,accurately and rapidly from an unresoled signal via WFPPM,Tremendous developing and applications based on currently reported WFPPM in extracting overlapping signals would be expected in the near future.