模拟数控铣床的改造

本文对数控模拟铣床的改造,进给机构用两个步进电动机做动力源,控制系统用8051单片机作为主控制器,用数字信息通过单片机传送给步进电动机控制其按一定方式运行,即可达到零件的加工要求。     

监控系统图象信号传输线缆的选择

论述了监控系统图象信号传输中同轴电缆、双绞线和光纤的特点和传输特性，并对其技术性能进行了分析。     

Signal Processing of Electroencephalogram and It''s Application

Electroencephalogram (EEG) signals are the electrical activities in the cortex or on the surface of scalp caused by the physiological activities of the brain which play a key role in the diagnosis of brain and the functional determination of brain. The authors discuss some methods for processing EEG signals from the view of the frequency domain and time domain, especially introduce some time-frequency analysis methods such as Wigner distribution, wavelet transform and matching pursuit etc. , ANN and non-linear analysis for EEG signals processing.     

Role of RGD-mediate Adhesion in Signal Transduction of Plant Resistance

During the period of the primary contact time,there are series of recognition between the Fungal pathogens and the plant cell,which include physical and biochemical recognition.The results affect the infection directly.In the process of penetrating plant cell walls,there is not only an emzymolysis to plant cell wall,but also a mechanical squeeze to the cell wall.The latter almost trigger cell-associated defense response,such as extracellular hydrogen peroxide generation and callose doposition The complete cell wall-related defence response will be induced by mechanical signal and chemical signal together.Being to with the mammalian cell,in plant cell wall intergrin-like proteins have response to perceive the mechanical signal,which is via RGD(Arg-Gly-Asp)motif,and the plasma membrane-cell wall adhesion is required for expression of plant defense responses during fungal penetration.     

Electric Vehicle of Direct Torque Control System Based on TMS320LF2407 Controller

A fully digitized electric vehicle direct torque control system with DSPTMS320LF2407 controller is described. The system hardware and software structures are presented. The performance of the direct torque control system is studied by simulation with MATLAB. Based on the simulation of the induction motor, waveform of current, speed, torque and flux are obtained. The testing results are also presented. Experimental results show that the design is feasible.     

Application of Intelligent Neural Network on Prediction of Time Series Signal

The research of neural network has been maturated both in theory and practical application since 1980's, and also been employed into the prediction and analysis of nonlinear time series signal in the field of signal process system. Concerning with the problem of time series signal prediction based on traditional neural network, such as black box, poor accuracy, and facing the shortage of post knowledge, this paper presents a different neural network prediction model from the traditional ones, based on intelligent neural cell model and employing the iterative prediction method. Through the example on stock price prediction, the prediction accuracy and practical value are proved.     

基于小波包原理的蚕茧无损检测研究

提出了基于声学的蚕茧无损检测新方法，研究了利用小波包原理提取噪声信号的特征值的方法。噪声信号经过小波包分解后，得到各频段内的信号，将各频段内信号的能量谱作为识别蚕蛹质量的特征值。结果表明，通过小波包原理提取的能量谱特征值能有效地识别出蚕蛹的质量，解决了蚕茧无损检测过程中难找出与蚕蛹质量有关的信号特征值的难题。     

鄱阳湖生态经济区畜禽养殖土壤环境承载力及污染风险研究

[目的]测算和评价鄱阳湖生态经济区畜禽养殖过程中的土壤环境承载力及其污染风险,为合理规划鄱阳湖生态经济区畜禽养殖空间布局、实现可持续养殖提供参考。[方法]利用2000—2012年鄱阳湖生态经济区24个县(市)的统计数据进行土壤环境承载力及畜禽污染物排放量的测算和评估。[结果]2000—2012年鄱阳湖生态经济区畜禽粪便耕地负荷警报值在0.7左右,总氮耕地负载警报值为0.5~0.6,总磷耕地负载警报值超过了1,畜禽养殖对环境造成了污染威胁。畜禽养殖污染风险较高的地区为高安市、东乡县、余江县、德安县以及南昌县。[结论]污染风险较高的地区应强制实行畜禽养殖总量控制和污染物消减措施,而湖口县、都昌县和彭泽县畜禽污染风险较低,可以适当扩大养殖规模。     

Feature extraction and recognition technique for human pulse signals

In Chinese traditional medicine, the pulse signal plays an important role for diagnosis. To investigate the effective technique for identifying heroin druggers through the pulse signal, the feature extraction algorithm based on the biocepstrum and the third-order cepstrum entropy of the pulse signal is studied. On the basis of concise and rigorous discussion for the algorithm, the biocepstrum-based diagonal slice components are estimated for human pulse signals of 20 heroin druggers and 20 healthy normal subjects. The magnitude of the sample value of diagonal slice at m=n=1 and the third-order cepstrum entropy of magnitudes of sample values of the diagonal slice within a particular region are used as two feature parameters for every human pulse signal to form a feature vector. A classifier based on the criterion of squared Mahalanobis distance is successfully designed. Applying the designed classifier to 40 feature vectors, the correct identification rate reaches 87.5%. The research result shows that the method of the feature extraction and classifier design presented in is valuable for identifying the human pulse signals of heroin druggers.