基于隐马尔科夫模型的DNA序列分类方法

DNA序列分类是生物信息学的一项基础任务,目的是根据结构或功能的相似性预测DNA序列所属的类别。为进行有效分类,如何将序列映射到特征向量空间并最大程度地保留序列中蕴含的碱基间顺序关系是一项困难的任务。为克服现有方法容易导致因DNA序列碱基残缺而影响分类精度等问题,提出一种新的DNA序列特征表示方法。新方法首先为每条序列训练一个隐马尔科夫模型（HMM）,然后将DNA序列投影到由HMM状态转移概率矩阵的特征向量构成的向量空间中。基于这种新的特征表示法,构造了一种 K-NN分类器对DNA序列进行分类。实验结果表明,新型特征表示方法可以较为完整地保留 DNA 序列中不同碱基间的关系,充分反映序列的结构信息,从而有效提高了序列的分类精度。     

基于三电平逆变的开关磁阻发电系统的研究

新型开关磁阻发电机具有发电容量大、效率高、起动和发电组合容易等优点,三电平逆变器具有能减少开关损耗和滤波电感损耗并有降低开关应力等特点。利用三电平逆变器转换效率高的优势,结合新型开关磁阻发电机低风速发电特点,降低开关损耗和开关器件电压应力,提高装置可靠性。仿真实验结果表明:用三电平逆变器能够很好的实现开关磁阻发电机的逆变要求。     

基于simstore自纠错倒闸操作仿真系统设计

提出了一种基于simstore的自纠错倒闸操作仿真系统,所设计的仿真系统能完成常规变电站电气设备的倒闸操作,并自动生成倒闸操作票,与其他倒闸操作仿真系统所不同的是,该系统具备“自动纠错”功能.该仿真系统用于郑州供电公司省府110kV变电站的日常培训,结果表明,在提高常规变电站运行人员的工作技能方面,获得了良好效果.     

CPR1000核电站三废处理控制系统仿真测试技术应用

为实现工厂测试期间,能够最大限度地模拟核电厂三废系统的工艺设备,对三废控制系统（DCS）的组态逻辑正确性进行验证,通过结构化文本语者编写仿真测试程序,对现场的工艺设备的运行状态进行仿真模拟。同时选取对核电站硼回收系统（TEP）的1号除汽器的仿真测试,验证仿真测试程序的可行性,提出了一种低成本,高效率的测试方法。     

基于字的分布表征的汉语基本块识别

汉语的基本块识别是汉语句法语义自动分析中的重要任务之一。传统的方法大多数直接将汉语基本块识别任务转化成词层面的一个序列标注问题,采用CRF模型来处理。虽然,在许多评测中得到最好的结果,但基于词为标注单位,在实用中受限于自动分词系统以及汉语词特征的稀疏性。为此,该文给出了一种以字为标注单位,以字为原始输入层,来构建汉语的基本块识别的深层神经网络模型,并通过无监督方法,学习到字的C&W和word2vec两种分布表征,将其作为深层神经网络模型的字的表示层的初始输入参数来强化模型参数的训练。实验结果表明,使用五层神经网络模型,以[-3,3]窗口的字的word2vec分布表征,其准确率、召回率和F值分别达到80.74%,73.80%和77.12%,这比基于字的CRF高出约5%。这表明深层神经网络模型在汉语的基本块识别中是有作用的。     

基于改进混沌扩频序列的多用户混沌扩频通信系统的研究与仿真

提出一种改进混沌扩频序列,并将其应用在多用户混沌扩频通信系统中,给出了多用户混沌扩频通信系统的理论推导和SIMULINK仿真模型。对该系统进行了详细的性能分析,包括信噪比、用户数、改进混沌扩频序列的分形参数和初始值等各自对系统误码率的影响,并比较了改进混沌扩频序列与传统混沌扩频序列的系统误码率随信噪比和用户数的变化情况。结果表明改进混沌扩频序列要好于传统混沌扩频序列的系统误码率,具有较好的抗噪声和抗多址干扰的能力。     

Context dependence of phenotype prediction and diversity in combinatorial mutagenesis

Two different combinatorial mutagenesis experiments on the light-harvestingII (LH2) protein of Rhodobacter capsulatus indicate that heuristicrules relating sequence directly to phenotype are dependenton which sets or groups of residues are mutated simultaneously.Previously reported combinatorial mutagenesis of this chromogenicprotein (based on both phylogenetic and structural models) showedthat substituting amino acids with large molar volumes at Gly^ß31caused the mutated protein to have a spectrum characteristicof light-harvesting I (LH1). The six residues that underwentcombinatorial mutagenesis were modeled to lie on one side ofa transmembrane -helix that binds bacteriochlorophyll. In asecond experiment described here, we have not used structuralmodels or phylogeny in choosing mutagenesis sites. Instead,a set of six contiguous residues was selected for combinatorialmutagenesis. In this latter experiment, the residue substitutedat Gly^ß31 was not a determining factor in whetherLH2 or LH1 spectra were obtained; therefore, we conclude thatthe heuristic rules for phenotype prediction are context dependent.While phenotype prediction is context dependent, the abilityto identify elements of primary structure causing phenotypediversity appears not to be. This strengthens the argument forperforming combinatorial mutagenesis with an arbitrary groupingof residues if structural models are unavailable.     

基于灰度匹配的序列影像的目标跟踪研究与实现研究

为了达到特定目标跟踪的目的,对视频帧进行匹配算法的处理。通过利用灰度匹配的算法在平台上对简单背景下的目标进行跟踪,来显示进行目标基本跟踪过程。对目标坐标系的转换、运算的速度和使用的范围进行讨论。     

Asynchronous fault detection filter design approach for discrete‐time switched linear systems

This paper is concerned with the problem of the fault detection filter design for discrete‐time switched linear systems with average dwell‐time. The designed fault detection filters are also switched systems, which are assumed to be asynchronously switched with the original switched systems. Improved results on the weighted l₂ performance and the H _? performance are first given, and the multiple Lyaounov‐like functions during matched period and unmatched period for the running time of one subsystem are used. By the aid of multiple Lyapunov‐like functions combined with Projection Lemma, the FD filters are designed such that the augmented systems under asynchronous switching are exponentially stable, and the residual signal generated by the filters achieves the weighted l₂‐gain for disturbances and guarantees the H _? performance for faults. Sufficient conditions are formulated by linear matrix inequalities, and the filter gains are characterized in terms of the solution of a convex optimization problem. Finally, examples are provided to demonstrate the effectiveness of the proposed design method. Copyright © 2012 John Wiley & Sons, Ltd.     

On adaptive sliding mode control without switching gain overestimation

This paper presents some further results on adaptive sliding mode control (ASMC) for a class of nonlinear systems with bounded uncertain parameters. Given a large initial tracking error, current ASMC design generally produces an unnecessarily large switching gain, consequently leading to a serious chattering problem or a large‐amplitude control jump for the continuous counterpart. To solve such an overadaptation problem, the switching gain adaptation mechanism is first analyzed in this paper, and the adaptation induced by the initial tracking error is suggested to be removed. Then, by exploiting the global sliding mode feature of time‐varying sliding mode control and integral sliding mode control, we present two effective methodologies for ASMC design. The proposed ASMC algorithms ensure that there is no overestimation of the switching gain and the system response is not slowed down when a small switching gain is generated. The validity of the proposed methods is verified by both theoretical analysis and simulation results. Copyright © 2012 John Wiley & Sons, Ltd.