Abstract:According to the hierarchical identification principle,this paper presents the hierarchical stochastic gradient algorithms and the hierarchical gradient based iterative algorithms,the hierarchical least squares algorithms and the hierarchical least squares based iterative algorithms for multivariable equation-error-like systems and multivariable equation-error ARMA-like systems,and further derives the hierarchical multi-innovation gradient algorithms and the hierarchical multi-innovation least squares algorithms.In order to reduce computational burdens,this paper derives the filtering based hierarchical identification algorithms and the filtering based hierarchical multi-innovation identification algorithms for multivariable equation-error ARMA-like systems using the filtering technique. Finally,the computational efficiency and the computational steps of some typical identification algorithms are discussed.

Abstract:With the rapid development of internet of things,cloud computing,and mobile internet,the rise of Big Data has attracted more and more concern,which brings not only great benefits but also crucial challenges on how to manage and utilize Big Data better.This paper describes the main aspects of Big Data including definition,data sources,key technologies,data processing tools and applications,discusses the relationship between Big Data and cloud computing,internet of things and mobile internet technology.Furthermore,the paper analyzes the core technologies of Big Data,Big Data solutions from industrial circles,and discusses the application of Big Data.Finally,the general development trend on Big Data is summarized.The review on Big Data is helpful to understand the current development status of Big Data,and provides references to scientifically utilize key technologies of Big Data.

Abstract:The phased array beam steering is controlled and the Lamb wave phased array theory is discussed in detail.Phased array technology is used to control the time delay of the Lamb wave and to make the Lamb wave focus on the structure damage.The damage scattered signal is extracted by comparing the health signal and the damage signal.The Lamb wave signal direction is controlled by utilizing the time delay to the excitation signals and the damage scattered signals and the structure is monitored in all orientations.The processed signals are shown on the mapped image in gray-scale.The gray-scale in the mapped image from dark to light corresponds to the amplitude from low to high.The location where the max amplitude of the signals lie is the damage location in the structure.Finally,the proposed method is verified by an experiment on aluminum sheet structure and the result shows that it is effective to identify the damage position of structure and to display the damage clearly.

Abstract:We propose a scheme to produce continuous-variable(CV) pair-entanglement frequency comb by nondegenerate optical parametric down-conversion in an optical oscillator cavity in which a multichannel variational period poled LiTaO₃ locates as a gain crystal.Using the CV entanglement criteria,we prove that every pair generated from the corresponding channel is entangled.The characteristics of signal and idler entanglement are discussed.The CV pair-entanglement frequency comb may be very significant for the application in quantum communication and computation networks.

Abstract:In this paper,a constrained adaptive control approach is proposed for nonlinear system with unmatched uncertainties.Fuzzy disturbance observer is used to approximate the unknown and unmatched uncertainties online.The backstepping method is adopted to design the adaptive controller.The command filter is introduced into the control system,which can effectively decrease the effect of the control input saturation on system stability.The controller design avoids the repeated derivation for the virtual control law.The closed-loop system is verified to be asymptotical with Lyapunov stability theorem.Simulation results show the effectiveness of the proposed method.

Abstract:The characteristics and production processes of meteorological chart for TV service,and functions of Photoshop script are analyzed in this paper,hence the design of meteorological TV chart production system based on Photoshop scripting is proposed.The commands in Photoshop script,such as calling of the basic object model classes and delivery process of external variables,are demonstrated through a case of bar graph production.The Photoshop script can produce meteorological TV chart automatically in accordance with the variety and size of meteorological data without additional hardware requirement,which can improve the efficiency of meteorological TV chart production.

Abstract:Using select statement of SQL Server and bcp data processing method,the real-time precipitation is calculated based on meso-scale precipitation data.Grid point precipitation of subbasins was obtained by GIS technology,hence the area precipitation of subbasins was formed.The computation results show that,daily real-time precipitation can be acquired through employment of SQL Server data inquiring technology and bcp data processing technology,and the slope and elevation data with spatial resolution of 5km can be obtained by GIS splicing,conversion and sampling process.Then the area rainfall computation equation is established with real-time precipitation and related slope and elevation,and the area rainfall is further accurate through calculation with Arithmetic Mean Method (AMM).

Abstract:Based on the summer daily precipitation data of 60 meteorological stations in Anhui province from 1999 to 2009 and observation data of Anqing sounding station,the relationship between local precipitation and large-scale precipitation circulation in different mid-low wind directions are studied in this paper.The neural network and linear regression method,combined with 3 forecasting objects and corresponding predictor variables are employed to design 6 downscaling function models to approximate and optimize the precipitation data.The 6 models are used to simulate and forecast the daily precipitation data of 46 meteorological stations in Anhui province,and the results show that BP neural network models generally outperform the linear regression models in simulation and forecasting accuracy,indicating the nonlinear correlation between different scales of summer rainfall.Compared with the commonly used Cressman interpolation methods,the neural network models can reflect the basic distribution and local characteristics of summer precipitation in forecasting results.The BP neural network model with single station precipitation series as prediction object has good forecasting results in areas of plains or rivers,while the BP neural network model with the REOF principal components as predicting object is good in mountainous area.

Abstract:By using SST data from HadISST OI and a dataset of daily winter temperature from 92 stations in Northeast China,the relationships between Sea Surface Temperature Anomaly(SSTA) and winter air temperature in Northeast China have been studied using the Generalized Equilibrium Feedback Assessment (GEFA) method combined with the Empirical Orthogonal Function analysis (GEFA-EOF).The results show that among the five sub-basins in the tropical or northern hemisphere,winter air temperature anomaly are closely related to the synchronous SSTAs of Tropical Atlantic and North Atlantic,and have nothing to do with that of other basins.The negative and positive winter air temperature anomaly in Northeast China is strengthened by the positive-negative-positive three-pole mode of Tropical Atlantic SSTAs (TA3),and the positive-negative-positive three-pole mode of North Atlantic SSTAs (NA3),respectively,while the strengthening effect is more obvious in northern areas than in southern areas of Northeast China.The possible pathway can be explained as following,the TA3 mode stimulates the positive-negative-positive teleconnection wave train in the northern hemisphere,which results in the East Asia major trough moving to the Lake Baikal,thus facilitates the polar cold air moving south to Northeast China;while the direct response of NA3 mode of North Atlantic SSTAs weakens or even eliminates the East Asia major trough,which hinders the polar cold air from moving south and results in warm winter in Northeast China.

Abstract:Using the data of thunderstorm days recorded by the 9 weather stations in Langfang of Hebei province from 1964 to 2011,the temporal-spatial distribution characteristics and periodicity features during the recent 48 years are analyzed by means of mathematical statistics,linear trend fittings and wavelets analysis.The regionalization of thunderstorm probability of different number of days is worked out by use of information diffusion theory.The results show that the interannual thunderstorm variability is significant and the annual thunderstorm days has a decreasing trend.The numerical value of decreasing days is about 2d per decade.The seasonal variation exhibits a uni-peak-type and the thunderstorms mainly occur from April to October,while 74.5% of thunderstorms occur in the three-month of June,July and August during the summer.The thunderstorm days in north-central areas are significantly more than that in south.The variation periods are stable and exist across the whole region in most areas when they are more than 10a,but the short period of 3 to 5 years mainly happens before the 1990s.With the increase of the thunderstorm days,the high probability areas move north.Some of the central areas will be high probability areas when the thunderstorm days become abnormally high.

Abstract:According to the latest data in Jiangsu Statistical Yearbook(2002—2012),this paper makes an evaluation on the agricultural modernization level of Jiangsu province by using the combination of subjective and objective weighting method,namely entropy method and analytic hierarchy process.The results show that the agricultural modernization of Jiangsu province was overall positive and the index of agricultural modernization during the late ten years was continuously improved.In 2011,the modernization level was in a fully mature stage,while the sustainable development index was fluctuated.