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Search Results: 1 - 10 of 30564 matches for " MIAO Jin "
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The Verification of Chaotic Characteristics of Radar Angular Glint
Jin Zhang;Jungang Miao
PIER B , 2012, DOI: 10.2528/PIERB12062601
Abstract: In this paper, we present the chaotic verification for angular glint of complex radar target. Angular glint is a key factor in the generation loss probability in radar detections, and the intrinsic physical characteristic and suppression techniques of glint have been a hot topic in radar signal analysis. In this paper, the radar angular glint samples of a typical complex target are calculated by the Greco method based on Phase Gradient method. The simulated glint series fit the prerequisites of chaos for deterministic, nonlinear generation and no regularities in time domain, therefore the analysis the chaotic traits is required. We propose the design of chaotic verification flow, which is proved to be efficient and effective by the experiment of Lorenz Attractor signal model, and the details have been explained. The algorithm flow begins with the determination of optimum time lag and minimum embedding dimension, and is followed by the time-delay reconstruction in phase space. The results are presented with three qualitative verification results of attractor geometry, Poincare section and principal component analysis and two quantitative results of correlation dimension and largest Lyapunov exponent for the glint series. With comparison with results obtained by Lorenz attractor, the chaotic traits of angular glint data are verified. Therefore, the paper has proposed new possible reduction and prediction ideas to refrain angular glint in the digital processing unit of radar receiver in the future.
3-O-Ethyl-l-ascorbic acid
Shu Jin,Xiaoqin Miao
Acta Crystallographica Section E , 2008, DOI: 10.1107/s1600536808009963
Abstract: In the crystal structure of the title compound, C8H12O6, molecules are linked to each other by O—H...O hydrogen bonding.
Particulate Matters Pollution Characteristic and the Correlation between PM (PM2.5, PM10) and Meteorological Factors during the Summer in Shijiazhuang  [PDF]
Han Li, Bin Guo, Mengfei Han, Miao Tian, Jin Zhang
Journal of Environmental Protection (JEP) , 2015, DOI: 10.4236/jep.2015.65044
Abstract: In recent years, the haze occurs frequently and air pollution is getting worse in Beijing-Tianjin-Hebei Region, China. The particulate matter pollution characteristic researches are playing a sig-nificant role especially in the districts where have higher concentration PM and air pollution. In this study, we collected daily particulate matter (PM10, PM2.5) mass concentration data from 7 air pollution monitoring stations in Shijiazhuang City, Hebei, China over a 3-month period from June to August to investigate particulate matter pollution characteristic and the relationship with me-teorological conditions. Statistical results show that PM10 is the major pollutant in Shijiazhuang City; the average daily concentrations of PM2.5 and PM10 are 94.45 μg/m3 and 219.15 μg/m3, respectively. The daily average of PM10 and PM2.5 level over the period exceeded the first grade of the daily average limit of the ambient air quality standards (GB3095-2012). And there is a significantly positive correlation between atmospheric pressure and particulate matter pollution, but there is a significantly negative correlation between atmospheric temperature and PM concentrations. Precipitation has a clear role mainly in the coarse particles; however, there has little effect on fine particulate matter. Relative humidity and wind speed have a poor correlation with atmospheric pollutant concentrations (not remarkably high).
Probing behavior of the tea green leafhopper on different tea plant cultivars

Miao Jin,Han Baoyu,

生态学报 , 2007,
Abstract: The probing behaviors of the tea green leafhopper, Empoasca vitis (Gothe), on 9 tea cultivars were studied using video-text Direct Current-Electrical Penetration Graph, i.e., DC-EPG. The following 7 types of waveforms produced by the leafhopper stylet probing were determined: A, stylet pathway formation; S, salivation when stylets pierce into and stay in phloems; C, active ingestion before stylets reach phloems; E and F, passive ingestion in phloems; R, the insect resting with its stylet inserted into the leaf tissue and NP without probing. The 9 tested tea cultivars were categorized into 3 groups by the cluster analysis according to the number of probes per insect, waveform durations, or duration per probe of various waveforms on different tea cultivars. Waveforms S, E and F correlated to the main feeding activity of the leafhopper and may provide valuable information on predicting the resis-tance level of the tea plants to the leafhopper. The resistance level of the 9 tea cultivars to the leafhopper was ranked based on the durations of waveforms S, E and F, as well as the duration per probe including various waveforms. The ranking order of the resis-tance was: Longjingchangye > Hangdan > Zhenghedabaicha > Qianmei 601 > Hongyafoshuo > Zhongcha 102 > Zhongcha 302 > Longjing 43 > Anjibaicha, which corresponded to the resistance level determined by the population density (infestation) of the leaf-hopper on the 9 tea cultivars in the tea fields. Our study suggests that this simple and convenient DC-EPG technique might have great potential as a reliable tool to predict the resistance of tea cultivars to the tea leafhopper.
Compact Wide Stopband Quasi-Elliptic Function Lowpass Filter Using Quasi-Lumped Elements
Chen Miao;Jin Xu;Wen Wu
PIER Letters , 2013,
Abstract: This paper presents a novel quasi-elliptic function lowpass filter (LPF) by using quasi-lumped elements. The proposed LPF is firstly based on a seven-order Chebyshev response lowpass prototype. Then, a series branches of shunt resonant LC circuit is introduced in the filter design to provide a transmission zero close to the transition band, which can improve the roll-off rate of proposed LPF significantly. To implement the lumped elements of lowpass prototype, the high-impedance meander lines are employed to realized the inductors while inter-digital microstrip lines and the microstrip parallel-plate structures are used to realize the capacitors. To validate the proposed method, a LPF with 3 dB cutoff frequency at 1.9 GHz is designed and fabricated. The measured results show that the fabricated LPF has a sharp roll-off rate up to -142 dB/octave and -15 dB harmonic suppression from 1.1 to 9.7. Moreover, the fabricated LPF also has a compact size of 0.1λ × 0.11λ. Good agreement can observed between the simulation and measurement.
Study on Ann-Based Multi-Step Prediction Model of Short-Term Climatic Variation
Jin Long,Ju Weimin,Miao Qilong,
Jin Long
,Ju Weimin,Miao Qilong

大气科学进展 , 2000,
Abstract: In the context of 1905–1995 series from Nanjing and Hangzhou, study is undertaken of estab-lishing a predictive model of annual mean temperature in 1996–2005 to come over the Changjiang (Yangtze River) delta region through mean generating function and artificial neural network in combination. Results show that the established model yields mean error of 0.45°C for their abso-lute values of annual mean temperature from 10 yearly independent samples (1986–1995) and the difference between the mean predictions and related measurements is 0.156°C. The developed model is found superior to a mean generating function regression model both in historical data fit-ting and independent sample prediction.
Expected Transmission Energy Route Metric for Wireless Mesh Senor Networks
YanLiang Jin,HuiJun Miao,Quan Ge,Chi Zhou
International Journal of Digital Multimedia Broadcasting , 2011, DOI: 10.1155/2011/947396
Abstract: Mesh is a network topology that achieves high throughput and stable intercommunication. With great potential, it is expected to be the key architecture of future networks. Wireless sensor networks are an active research area with numerous workshops and conferences arranged each year. The overall performance of a WSN highly depends on the energy consumption of the network. This paper designs a new routing metric for wireless mesh sensor networks. Results from simulation experiments reveal that the new metric algorithm improves the energy balance of the whole network and extends the lifetime of wireless mesh sensor networks (WMSNs). 1. Introduction Wireless sensor networks are one of the most rapidly evolving research and development fields for microelectronics. A wireless sensor network potentially comprises hundreds to thousands of nodes. These nodes are generally stationary after deployment, with the exception of a very small number of mobile sensor nodes, as shown in Figure 1. Wireless sensor networks characterize themselves in their distributed, dynamic, and self-organizing structure. Each node in the network can adapt itself based on environmental changes and physical conditions. Sensor nodes are expected to have low power consumption and simple structure characteristics, while possessing the ability of sensing, communicating, and computing. For conventional wireless networks, high degree of emphasis on mobility management and failure recovery is located in order to achieve high system performance. However, as the power of sensor nodes is usually supplied by battery with no continual maintenance and battery replenishment, to design a good protocol for WSNs, the first attribute that has to be considered is low energy consumption that could promise a long network lifetime. The recent advances of WSNs have made it feasible to realize low-cost embedded electric utility monitoring and diagnostic systems [1, 2]. In these systems, wireless multifunctional sensor nodes are installed on the critical equipment of the smart grid to monitor the parameters critical to each equipment’s condition. Such information enables the smart-grid system to respond to varying conditions in a more proactively and timely manner. In this regard, WSNs play a vital role in creating a highly reliable and self-healing smart electric power grid that rapidly responds to online events with appropriate actions. The existing and potential applications of WSNs on smart grid span a wide range, including wireless automatic meter reading (WAMR), remote system monitoring, and equipment fault
Variation of Natural Streamflow since 1470 in the Middle Yellow River, China
Chi-Yuan Miao,Jin-Ren Ni
International Journal of Environmental Research and Public Health , 2009, DOI: 10.3390/ijerph6112849
Abstract: Nowadays, as the available water resources throughout the World are becoming depleted, in order to manage and plan water resource better, more and more attention is being paid into the fluctuating characteristics of water discharges. However, the preexisting research was mainly focused on the last half century. In this paper, the natural streamflow observed since 1470 at the Sanmenxia station in the middle Yellow River basin was collected, and the methods of variation coefficient, moving average, Mann-Kendall test and wavelet transform were applied to analyze the dynamic characteristics of the streamflow. The results showed that, (1) between 1470 and 2007, the natural streamflow changed 200–919 ×108 m3, and water discharge varied moderately; (2) in the middle Yellow River basin, it appears that the most severe and most persistent droughts during circa 1868–1990, the periods of 1470s–1490s, 1920s–1930s and 1990s–2000s also presented the condition of sustained low flows; (3) the natural streamflow series shows increasing and decreasing trends during the periods of 1470–1880 and 1881–2007, respectively, but both trends are not significant at >95% confidence; in addition, it is still found the streamflow series shows abrupt changes circa 1845, 1935 and 1960, respectively; (4) within a 250-year scale, there are circa 11, 26, 67 and 120-year periods for natural streamflow at the Sanmenxia station, and the periodicity of the 120-year one is the strongest. The dynamic characteristics of natural streamflow is the comprehensive result by many influencing factors, such as precipitation, temperature, El Ni?o-Southern Oscillation, sunspots, human activity etc.
Journal of the Chilean Chemical Society , 2011, DOI: 10.4067/S0717-97072011000400007
Abstract: being a biocompatible, biodegradable and bioactive material, chitosan in the form of membranes offers a great potential as a substrate in mineralization processes in vitro. in the present work, chitosan with (without) bovine serum albumin used as templates induced the formation of calcium carbonate. the unusual morphology of calcium carbonate was get from the chitosan /bovine serum albumin system. the caco3 crystals obtained in system were characterized by scanning electron microscopy, fourier transform infrared spectrography and powder x-ray diffractometry. the possible formation mechanism of caco3 was discussed.
Structure elucidation of polychlorinated biphenyls by X-ray analysis
Xiusheng Miao,Shaogang Chu,Xiaobai Xu,Xianglin Jin
Chinese Science Bulletin , 1997, DOI: 10.1007/BF02882647
Abstract: X-ray diffraction is a powerful structure specific method to study the molecular structure, especially for the structure-activity relationships. Combined with other methods, X-ray crystallography could make much more contributions to the environmental science.
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