Recovery of Collided RFID Tags With Frequency Drift on Physical Layer

In a passive ultra-high frequency (UHF) radio frequency identification (RFID) system, the recovery of collided tag signals on a physical layer can enhance identification efficiency. However, frequency drift is very common in UHF RFID systems, and will have an influence on the recovery on the physical layer. To address the problem of recovery with the frequency drift, this paper adopts a radial basis function (RBF) network to separate the collision signals, and decode the signals via FM0 to recovery collided RFID tags. Numerical results show that the method in this paper has better performance of symbol error rate (SER) and separation efficiency compared to conventional methods when frequency drift occurs.      

A star pattern recognition algorithm for cameras with large FOV

In most large field of view (FOV) observations, the distortion problem is inevitably and significantly more serious than in small FOV ones. In the circumstances, many traditional star identification approaches are not able to efficiently identify stars any more. In order to deal with this problem, we put forward a star identification method that is less sensitive to distortion. The method first processes stars in the central area of the image, using traditional identification logic, and then applies the region growing strategy to enlarge the identified regions iteratively until the entire image is covered. The performance of the new scheme is analysed in the presence of both simulated data and real data. The results show that the proposed algorithm has the advantage of speed, and the strategy of regional extension can efficiently identify stars in large FOV images compared with other existing algorithms.     

Research on the identification performance of UHF RFID system considering the correlation of cascaded channel

The identification rate of UHF RFID system was restricted by multipath propagation effects.The system identification performance was studied considering the correlation coefficient between forward and reverse channels.Based on the generalized Rician fading channel model,the analytical expression of identification rate was derived under independent,full correlation and correlation cases.Compared with the existing analysis,the proposed uniform calculation formula of identification rate was for any correlation coefficient and kinds of channel conditions.The numerical computation and Monte-carlo simulations show that the influences of different correlation coefficients,channel conditions,sensitivity and distance on the identification rate.     

基于测绘地理信息技术的涉地税源风险识别模式应用研究

为解决沧州市涉地税源管理手段单一等问题,文中提出以测绘地理信息技术为支撑,通过对多源数据组织管理,建立风险分析指标,采用多种GIS空间分析方法构建了涉地风险税源识别模式并在沧州进行应用。结果表明:该模式能有效识别多种涉地风险,为涉地税源管理提供了支撑。     

A review of phosphorescent and fluorescent phosphors for fingerprint detection

Currently, the efficient detection of fingerprints is essential for the crime investigations. Revealing fingerprints is commonly achieved with fluorescent organic compounds but they are not efficient for fingerprint detection on porous or reflective surfaces. In order to solve the problem of collecting fingerprints on porous/reflective surfaces, inorganic phosphors have been employed, since they have characteristics of variable color emission, afterglow, high chemical stability and nano-size, which allow the fingerprint detection on any porous or non-porous surfaces. Due to these last properties, this review presents a summary about the use of phosphorescent and fluorescent phosphors for the detection of latent fingerprints. First, we discussed the main physical and chemical characteristics of the fingerprints which permit their detection and collection from any surface. After this, we presented the main morphological, structural and luminescent properties of the phosphorescent and fluorescent phosphors that allow their use for fingerprint detection. Later, we demonstrated with pictures of fingerprints (with and without light emission from the phosphors deposited on them) that both, phosphorescent and fluorescent phosphors can be used to visualize fingerprints with high resolution and high contrast without interference of the background surface, which is ideal for its collection and registration in the Automated Fingerprint Identification System (AFIS). We believe that this review could be useful to understand how to select an appropriate phosphorescent or fluorescent material for fingerprint detection depending on the type of surface (porous or non-porous, reflective or not reflective) where the fingerprint is deposited.     

基于 GA-SVM 算法的通信网络入侵信号自动识别技术

针对当前通信系统入侵行为自动识别技术存在入侵信号样本识别成功率较低、误识别率和漏识别率较高的问题,提出基于 GA-SVM 算法的通信网络入侵信号自动识别技术。利用混沌原理提取通信网络入侵的非平稳信号时域特征,并凭借自回归模型提取对应频域特征,捕捉邻域入侵信号间的非线性时空动作频率,评价相邻行为间的状态关联性,预测入侵信号后续行为,完成入侵信号的识别。实验表明,所提方法识别精度高、误识别率较低,漏识别率非常低,具有可应用于实际的理论价值。     

Angiotensin-converting enzyme (ACE) inhibitory peptides from fermented sausages inoculated with Lactobacillus plantarum CD101 and Staphylococcus simulans NJ201

Natural ACE inhibitory peptides derived from food are considered to be an effective supplement for lowering blood pressure. This study investigated the effects of Lactobacillus plantarum CD101 and Staphylococcus simulans NJ201 on proteolysis and the sequence composition of ACE inhibitory peptides in fermented sausages. The ACE inhibitory activity of the inoculated group reached the maximum values on day 35 during the production of fermented sausages. A more positive effect in the hydrolysis of the sarcoplasmic and myofibrillar protein was observed in the inoculated group through sodium dodecyl sulphate–polyacrylamide gel electrophoresis (SDS-PAGE). The free amino acid content of the inoculated group was 865.21 ± 12.55 mg/100 g, which was significantly higher (P < 0.05) than that of the control group. The molecular weight distribution showed a significant increase (P < 0.05) in peptides with a molecular weight less than 1 kDa in the inoculated group. A total of thirty-four peptides with high hydrophobicity were identified by liquid chromatograph-mass spectrometer/mass spectrometer (LC–MS/MS). Furthermore, the peptides were isolated and purified using gel filtration chromatography (GFC) and reversed-phased high-performance liquid chromatography (RP-HPLC). Eleven novel peptides were identified by Nano-LC-ESI-MS/MS, in which VALSLSRP with X-Pro structure exhibited the highest ACE inhibition rate (75.36 ± 2.45%). These results indicated that mixed starters are conducive to protein degradation and the formation of peptides with high ACE inhibitory activity, especially peptides less than 1 kDa, and could be used as a functional material for antihypertensive drugs.     

基于集员未知输入观测器的风力机桨距执行器故障诊断

风力机一般放置在恶劣的环境中,其桨距执行器极易出现故障。文中针对一类含有未知但有界干扰和噪声的风力机系统的桨距执行器故障问题,设计了集员未知输入观测器对桨距的执行器故障进行检测并分离。采用气动机理和现代辨识原理建立风力机系统模型,通过优化未知输入观测器设计对系统中的干扰解耦,基于中心对称多胞体估计不考虑故障时残差的区间包络,并将其作为残差估计的上下动态阈值,实现状态估计。在上述基础上提出了利用一组集员未知输入观测器进行故障诊断的策略。仿真结果表明,在实验过程中,文中所设计的集员未知输入观测器准确地诊断出了风力机桨距执行器的3阶和5阶线性系统在发生突变故障和缓慢时变故障的时间和位置,证明了所提故障诊断策略的有效性。     

基于CAD的矿图参数识别分析

提出了基于CAD环境下的矿图标准化处理规则,给出了采区、断层等图形元素的获取方法,为矿井图形信息管理提供了有效途径。     

基于齿面寿命的齿轮参数优化设计

阐述了以齿轮齿面寿命为目标的齿轮传动几何参数优化设计方法 ,该优化设计考虑了负荷大小、接触点几何形状、滑动速度、油膜厚度等因素的影响。以齿轮减速器为例说明了数学模型的建立方法 ,并通过实例进行了印证 ,结果表明该优化设计方法能为提高齿面寿命提供有价值的齿轮参数组合