Study on Identification and Fermentation Condition of Strain ZY-19-2 with Inhibitory Effect against Tobacco Black Shank (Phytophtora parasitica var. nicotianae Tucker)

[Objective] The paper was to identify stain ZY-19-2 with inhibitory effect against tobacco black shank （Phytophtora parasitica var.nicotianae Tucker）, and study the fermentation condition of the strain. [Method]A strain ZY-19-2 with strong inhibitory effect against P. parasitica were isolated and screened from tobacco rhizosphere soil samples, and identified according to its morphological characteristics. The chitinase production activity of the strain under different culture conditions was also studied. [Result] For stain ZY-19-2 Paecilomyces lilacinus, the optimal fermentation conditions were as follows： 1.2% colloidal chitin as carbon source, 1% peptone as nitrogen source, 0.1% Tween 80 as surfactant, initial pH of fermentation broth at 6.0, the fermentation time of 60 h, inoculum amount at 1%, shaker speed at 120 r/min. The highest enzyme activity reached 0.216 U/ml. [Conclusion]The optimization of fermentation condition of strain ZY-19-2 lay foundation for large-scale production of cheap and efficient chitinase and chitin oligosaccharides, as well as application of the strain for control of tobacco black shank.

Modal identification based on Hilbert-Huang Transform of structural response with S VD preprocessing

In recent years, Empirical mode decomposition and Hilbert spectral analysis have been combined to identify system parameters. Singular-Value Decomposition is pro- posed as a signal preprocessing technique of Hilbert-Huang Transform to extract modal parameters for closely spaced modes and low-energy components. The proposed method is applied to a simulated airplane model built in Automatic Dynamic Analysis of Mechanical Systems software. The results demonstrate that the identified modal parameters are in good agreement with the baseline model.

The Brief Research on the Pitch Pattern Comparison of Electroacoustic Disguised Voice

Camouflage voice is the common check material form in judicial voice testing field that brings about many difficulties to speaker identification. Aiming at the electroacoustic disguised voice, we get fundamental frequency variation rule before and after voice change of multiple corpuses by analyzing map and data. The results show that the fundamental frequency before and after voice change exists a linearity relationship, we can realize speaker identification in electroacoustic disguised speech field through comparing Chinese pitch pattern.

组织文化认同对铁路工程企业员工建言行为的影响研究

为激发铁路工程企业员工建言行为的发生,研究以组织文化认同为切入点,在文献理论分析基础上,基于社会认同理论和自我决定理论,引入情感投入和感知组织支持作为组织文化认同和建言行为间关系的中介变量和调节变量,探究组织文化认同对铁路工程企业员工建言行为影响机理。使用组织文化认同和建言行为等成熟量表,以中国铁道建筑总公司、中国铁路工程总公司,中国交通建设集团有限公司企业员工为研究对象进行问卷调查;运用Mplus8.0和SPSS27.0等分析软件对收集数据进行验证性因子分析、相关性分析;在验证性因子分析和相关性分析的基础上,将建立的结构方程模型通过运用Mplus8.0进行路径假设检验;运用fsQCA3.0进行前因变量对建言行为模糊定性比较分析。结构方程模型检验结果表明,组织文化认同显著正向影响情感投入;情感投入正向影响建言行为;即情感投入在组织文化认同和建言行为影响关系中起中介作用;组织文化认同显著正向影响建言行为;感知组织支持显著正向调节情感投入对建言行为的影响。fsQCA分析结果表明,有5种组态可以发生建言行为,其中组织文化认同3个维度为核心存在条件,与结构方程模型检验结果相符合。以上结果丰富了建言行为边界机制和作用条件,基于“想做”和“能做”二元视角,揭示了组织工作氛围中,组织文化认同对员工产生“想建言”的心理动机产生重要影响,感知组织支持(“能建言”)正向促进了员工将建言的动机转化为实际的建言行为,为铁路工程企业管理者在实践中提供建议和启示。

员工-组织匹配对建言行为影响机制的实证研究

建言行为是组织创新与变革能力的载体。本文探索性地引入员工-组织匹配(P-O fit)并研究其对建言行为的影响机制,通过多个行业的283套配对样本,采用多层回归的实证分析,证实了P-O fit不仅对促进型建言具有积极影响而且对抑制型建言同样具有积极影响;组织认同不仅在P-O fit与促进型建言之间起到部分中介作用,而且在P-O fit与抑制型建言之间起到完全中介作用;权威领导在组织认同与抑制型建言之间起到负向调节作用,低权威领导情境能够加强组织认同对抑制型建言的积极影响,高权威领导情境可能改变组织认同对抑制型建言的作用方向;与低工作绩效相比,高工作绩效能够加强P-O fit对促进型建言的积极影响。研究结论表明组织可以在招聘、任命和晋升等重要人力资源决策中使用P-O fit作为首要识别标准促进建言行为。

快速反射镜的系统辨识与回路成形H∞鲁棒控制

音圈式快速反射镜(Voice Coil Actuator-Fast Steering Mirror,VCA-FSM)是星间激光通信中的重要伺服机构,其基于音圈电机进行驱动,FSM内部的柔性支撑结构以及轴间相对运动使系统存在复杂耦合特性,降低了系统的控制性能。对于该问题,本文提出了一种基于模型辨识的双轴回路成形H∞解耦控制方法。首先,基于激励与响应数据求解系统脉冲响应序列,构造Hankel矩阵进行系统辨识;其次,考虑系统的耦合特性,基于标称模型进行双轴回路成形H∞鲁棒控制器的设计;最后,基于VCA-FSM伺服控制实验平台,开展方波与正弦扫频实验。实验结果表明:相较于LQG与LQR控制,本文所提出的双轴回路成形H∞鲁棒控制使系统X,Y轴跟踪闭环带宽分别最大提升了54.3 Hz和54.8 Hz,显著降低了系统的耦合特性。本文所提出的控制方法充分提高了VCA-FSM伺服系统的性能,实现了双轴VCA-FSM的高性能解耦控制。

变电站电力设备声纹振动在线监测技术研究

声纹振动监测技术作为一种新兴的在线监测手段,已在变电站电力设备的运行状态监测中得到广泛应用。在过去几年里,随着传感器技术、信号处理技术和数据分析算法的不断发展,声纹振动监测技术取得了显著的进展。本文深入研究了变电站电力设备的声纹振动监测技术,探讨了系统架构故障诊断与预测方法,并设计了声纹振动在线监测系统。研究结果表明,声纹振动监测技术在变电站电力设备故障识别和预测方面具有很高的准确性和可靠性。

时代声音下民间女歌手身份与认同——以安徽罗城民歌传承人姜秀珍为例

二十世纪五十年代末,全国各地涌现了一大批杰出的民间歌手、民间艺人,他们把地方音乐和地方文化借助国家的舞台展现出来,成为共和国闪亮舞台中的一抹亮色,农民歌手姜秀珍就是其中一员。选取姜秀珍为个案研究,以其所属时代为时间背景,从其民歌手身份构建、转化、认同三个方面,探讨歌者对其所属时代的音乐表达方式,时代赋予歌者身份的社会环境以及时代语境与歌者对民歌文化发展脉络的影响和实践意义。

基于GMM-UBM模型的说话人辨识研究

为了进一步提高基于传统的GMM模型的说话人辨识的识别率,引入了GMM-UBM模型,并且在特征提取方面采用多种特征参数组合来代替单一特征参数,以提高有效特征维数来弥补特征样本的不足,同时在说话人辨识的端点检测部分,用基于MFCC相似度和谱熵的端点检测方法来代替传统的基于短时能量和过零点的方法,以解决其对含噪语音检测不准确而影响说话人辨识的问题。实验表明,与传统的GMM模型相比,GMM-UBM模型能够有效地提高说话人辨识的性能,并且使用组合特征参数和利用基于MFCC相似度和谱熵的端点检测方法都可以进一步提高说话人辨识的性能。

Dynamic Audio-Visual Biometric Fusion for Person Recognition

Biometric recognition refers to the process of recognizing a person’s identity using physiological or behavioral modalities,such as face,voice,fingerprint,gait,etc.Such biometric modalities are mostly used in recognition tasks separately as in unimodal systems,or jointly with two or more as in multimodal systems.However,multimodal systems can usually enhance the recognition performance over unimodal systems by integrating the biometric data of multiple modalities at different fusion levels.Despite this enhancement,in real-life applications some factors degrade multimodal systems’performance,such as occlusion,face poses,and noise in voice data.In this paper,we propose two algorithms that effectively apply dynamic fusion at feature level based on the data quality of multimodal biometrics.The proposed algorithms attempt to minimize the negative influence of confusing and low-quality features by either exclusion or weight reduction to achieve better recognition performance.The proposed dynamic fusion was achieved using face and voice biometrics,where face features were extracted using principal component analysis(PCA),and Gabor filters separately,whilst voice features were extracted using Mel-Frequency Cepstral Coefficients(MFCCs).Here,the facial data quality assessment of face images is mainly based on the existence of occlusion,whereas the assessment of voice data quality is substantially based on the calculation of signal to noise ratio(SNR)as per the existence of noise.To evaluate the performance of the proposed algorithms,several experiments were conducted using two combinations of three different databases,AR database,and the extended Yale Face Database B for face images,in addition to VOiCES database for voice data.The obtained results show that both proposed dynamic fusion algorithms attain improved performance and offer more advantages in identification and verification over not only the standard unimodal algorithms but also the multimodal algorithms using standard fusion methods.

基于Tex-RCNN的电力营销语音服务用户意图识别模型

由于电力营销语音服务过程会出现多层次用户意图,因此意图识别模型容易产生冗余数据,导致模型应用出现复杂度高问题。为此,构建新的基于Tex-RCNN的电力营销语音服务用户意图识别模型。利用Tex-RCNN中的两层感知结构,设定固定的数值偏移量,获取电力营销语音服务数据,利用意图数据的学习评估过程,构建意图依赖数值关系,将其编码处理为参数表征,构建意图识别模型。实验结果表明:所设计意图识别模型的复杂度数值最小,更适合实际应用。

RESEARCH ON THE ALGORITHM FOR IDENTIFYING VOIP SESSION

In this letter,a novel algorithm is proposed for identification of one popular type of VoIP(Voice over IP) application,MSN VoIP,based on both behavior pattern and protocol characteristics.In addition,the experiment for validation is implemented.Since there exists no method identifying MSN VoIP session and furthermore the IP addresses,domain names,ports and even the protocols MSNP works over,are all alterable during the application,which makes it difficult to identify MSN VoIP session,this work will be helpful to advance the research on VoIP identification.

Eigen-Space Decomposition(ESD)Method for the Design of Internal Model Controller(IMC)from Noisy Input and Output Plant Data

A novel approach to design Internal Model Controller(IMC)is proposed in this paper directly from measuredinput and output plant data,which are assumed to becontaminated by measurement noise.In order to avoidthe complicated structure-identification problem inmost cases,two Finite Impulse Response(FIR)modelsare taken to represent the plant model and the internalmodel controller respectively.Taking account of mea-surement noise both in the plant input and its output,anESD based Total Least Squares(TLS)solution is appliedfor the unbiased identification of the plant model and itsinverse model,the latter constitutes the internal modelcontroller according to the principle that the internalmodel controller approximates the inverse dynamics ofthe plant model.Simulations are given for a testifica-tion.

基于图像处理技术的盲人避障系统研究与实现

由于环境信息复杂,现有传感器的应用已经满足不了盲人出行需要,基于此,本文提出了一种基于图像处理技术的导盲方式。利用摄像头获得场景,通过图像处理技术识别盲道、红绿灯、斑马线等必要的交通信息,结合yolo v3算法识别出障碍物类型、大小,并根据单目测距实现障碍物距离探测,同时使用A*算法对障碍物避障路径进行规划,通过语音引导盲人准确避开障碍物。经测试,本系统能够准确识别盲道、红绿灯、斑马线、行人、汽车等,且单目测距满足系统要求,5 m内的相对误差为5.1%,A*算法也可正确规划路径。证明本系统可以满足盲人出行避障需要。

音圈直线电机滑模变结构控制方法

为了消除音圈直线电机的非线性摩擦特性对系统定位精度的影响,利用机理建模方法建立线性模型描述音圈直线电机系统的幅频及相频特性并采用最小二乘法辨识模型参数。此外,采用摩擦力测试和牛顿第二定律得到系统的等效非线性项参数,利用辨识得到的线性模型与等效非线性项参数,设计了一种含有等效非线性控制项的滑模变结构控制器。实验结果表明,提出的控制方法能够改善音圈直线电机的定位精度,并提升了系统的动态性能。

双轴音圈电机快速反射镜的系统建模与滑模控制

快速反射镜(Fast Steering Mirror,FSM)是高精密光学系统中的关键仪器,基于音圈电机(Voice Coil Actuator,VCA)驱动的柔性支撑FSM存在复杂耦合特性,导致系统模型复杂并严重影响系统的控制性能,对于该问题,本文提出了一种基于系统辨识与模型降阶的双轴积分增广滑模控制方法。首先,采用基于脉冲响应的Hankel矩阵系统辨识方法建立VCA-FSM的精确耦合模型;随后,基于平衡实现与平衡截断,在保证模型精度的前提下对所建立的高阶模型进行降阶;其次,基于降阶模型,采用现代控制理论方法设计积分增广滑模控制器,通过设计状态观测器构造滑模切换函数与控制律,并在控制设计中改进符号函数以消除滑模抖振;最后,基于VCA-FSM伺服控制系统实验平台,开展频域与时域性能测试实验。实验结果表明:本文所提控制方法相较于单轴滑模、PID控制方法,系统的闭环跟踪带宽分别提高了约50.3%,251.3%,扰动抑制带宽分别提高了约39.9%,451.9%,阶跃响应调节时间分别缩短了约29.7%,97.7%,螺旋线跟踪精度分别提高了约48.5%,97.8%,且实现了对存在强耦合特性VCA-FSM的解耦控制。本文所提控制方法充分提高了VCA-FSM的控制性能。

System identification modelling of ship manoeuvring motion based on ?- support vector regression

Based on the ε - support vector regression, three modelling methods for the ship manoeuvring motion, i.e., the white-box modelling, the grey-box modelling and the black-box modelling, are investigated. The 10°/10°, 20°/20° zigzag tests and the 35° turning circle manoeuvre are simulated. Part of the simulation data for the 20°/20° zigzag test are used to train the support vectors, and the trained support vector machine is used to predict the whole 20° / 20° zigzag test. Comparison between the simula- ted and predicted 20° / 20° zigzag test shows a good predictive ability of the three modelling methods. Then all mathematical models obtained by the modelling methods are used to predict the 10°/10° zigzag test and 35° turning circle manoeuvre, and the predicted results are compared with those of simulation tests to demonstrate the good generalization performance of the mathematical models. Finally, the modelling methods are analyzed and compared with each other in terms of the application conditions, the prediction accuracy and the computation speed. An appropriate modelling method can be chosen according to the intended use of the mathematical models and the available data for the system identification.

Sequence identification, structure prediction and validation of tannase from Aspergillusniger N5-5

Tannases produced by filamentous fungi are in a family of important hydrolases of gallotannins and have broad industry applications.But until now,the 3-D structures of fungi tannases have not been reported.The protein sequence deduced from the cDNA sequence obtained using RT-PCR amplification was identified as tannase through sequence alignment and phylogenetic analysis.Structure models based on the tannase sequence were collected using I-TASSER,and the model with the best match to the surface charge density-pH titration profile was selected as the final structure for tannase from Aspergillusniger N5-5.This work provides an effective method for protein structure research.The structure constructed in this work should be very important to understand the enzyme bioactivities and further developments of fungi tannases.

声纹识别技术在电力调度方面的应用研究

声纹识别技术在电力调度方面具有广泛的应用前景。文章介绍了声纹识别技术的原理、特点和发展现状,分析了电力调度的重要性、现状和存在的问题,探讨了声纹识别技术在电力调度中的应用,包括声纹识别在电力调度人员身份识别、语音控制、电力调度指令下达等方面的应用,阐述了其优势和存在的问题,并对声纹识别技术在电力调度方面的应用前景进行了展望。

基于边缘计算的煤矿安全监控分站设计研究

设计了一种基于边缘计算的安全监控分站,可以实现对煤矿安全监控分站各组成模块故障的自诊断和自识别,并通过语音报警模块进行语音报警,提示操作人员进行及时检修,通过故障的自诊断,方便了维护人员的操作,缩短了故障检修时间。通过语音提示保证了管理人员操作的及时性,避免了安全隐患进一步的发展和扩大。另外,分站通过语音模块也可以进行系统运行相关的提示,极大地方便了使用和维护,避免了误操作或漏操作的发生,保证了系统运行的稳定安全。