Wigner frequency point slice analysis of superposition data for phased-array ground penetrating radar

According to the frequency property of Phasedarray ground penetrating radar (PGPR), this paper gives a frequency point slice method based on Wigner time-frequency analysis. This method solves the problem of analysis for the PGPR‘s superposition data and makes detecting outcome simpler and detecting target more recognizable. At last, the analytical, results of road test data of the Three Gorges prove the analytical method efficient.     

Solution of Cauchy’s problem for wave equations in higher space dimensions by means of D’Alembert’s formula

A simple method for solving Cauchy’s problem of wave equations in higher space dimensions with initial condition of separated variables, has been given by using D’Alembert’s formula and some examples have been shown. Foundation item: Supported by the Natural Science Foundation of Hubei Province (992P0307) and the National Natural Science Foundation of China (39970203) Biography: YAO Duan-zheng (1946-), female, Professor, Research direction: mathematical physics and nonlinear optics.     

Determination of ciprofloxacin hydrochloride in pharmaceutical preparation and biological fluid by Rayleigh light scattering technique

A highly sensitive and simple Rayleigh light scattering (RLS) method for determination of ciprofloxacin hydrochloride has been developed. Ciprofloxacin hydrochloride (CPFH) reacted with tetraphenylboron sodium(TPB) to form an ion-association complex in pH 5.31 aqueous solution, which resulted in a significant enhancement of the RLS intensity, which was linear with the concentration of CPFH in the range of 12.7–419 ng·mL⁻¹. The limit of detection for CPFH was 6.99 ng·mL⁻¹. The method is simple, highly sensitive and selective within a wide linear range. Appliying this method to determination of ciprofloxacin hydrochloride in pharmaceutical preparations and biological fluids obtained satisfactory results. Foundation item: Supported by the National Natural Science Foundation of China(20675059) and Research Foundation of Leshan Teachers’ College, China (Z0625)     

Measurement of trace lead (II) in water samples with biomacromolecule heparin modified electrode

A new method for electrode modification and accumulation with a biomacromolecule and subsequent voltammetric quantittion of metal ions is described. Heparin is used as the surface modifier, and the method is based on formation of the heparin complex of lead (II). The voltammetric responses were evaluated with respect to electrolyte, pH, preconcentration time, and lead concentration. The electrode composition, voltammetric wave form and other variables have also been taken into account. A detection limit of 3.0×10⁻⁹ mol/L has been obtained by preconcentration for 20 min. The method is sensitive, simple and relatively rapid, with a relative standard deviation of 5.2% at the 1.0×10⁻⁷ mol/L level. Supported by the Trants-Century Training Program Foundation for the Talents from the State Commission of Education of China: the national Natural Science Foundation of China and the Opening Laboratory Foundation of Changchun Institute of Applied Chemistry, Chinese Academy of Sciences. Li Huiling: Born in July 14, 1972. Master of Science.     

Remote intelligent identification system of structural damage

The focus of this paper is to build the damage identify system, which performs “system identification“ to detcct the positions and extents of structural damages. The identification of structural damage can be characterized as a nonlinear process which linear prediction models such as linear regression are not suitable. However. neural network techniques may provide an effective tool for system identification. The method of damage identification using the radial basis function neural network (P, BFNN) is presented in this paper. Using this method, a simple reinforced concrete structure has been tested both in the absence and presence of noise. The resuits show that the RBFNN identification technology can he used with related success for the solution of dynamic damage identification problems, even in the presence of a noisy identify data. Furthermore, a remote identification system based on that is set up with Java Technologies.     

Point-tree structure genetic programming method for discontinuous function’s regression

A new point-tree data structure genetic programming (PTGP) method is proposed. For the discontinuous function regression problem, the proposed method is able to identify both the function structure and discontinuities points simultaneously. It is also easy to be used to solve the continuous function’s regression problems. The numerical experiment results demonstrate that the point-tree GP is an efficient alternative way to the complex function identification problems. Foundation item: Supported by the National Natural Science Foundation (60173046) and the Natural Science Foundation of Hubei Province (2002AB040) Biography: Xiong Sheng-wu (1966-), male, Associate professor, research direction: evolutionary computing, parallel computing.     

Projection and contraction methods for nonlinear complementarity problem

We applied the projection and contraction method to nonlinear complementarity problem (NCP). Moveover, we proposed an inexact implicit method for (NCP) and proved the convergence. Foundation item: Supported by the National Natural Science Foundation of China (No. 202001036) Biography: Zhao She-feng (1975-), male, Master candidate, research interest; optimization research.     

Web Database Query Interface Annotation Based on User Collaboration

A vision based query interface annotation meth od is used to relate attributes and form elements in form based web query interfaces, this method can reach accuracy of 82%. And a user participation method is used to tune the result; user can answer ＂yes＂ or ＂no＂ for existing annotations, or manually annotate form elements. Mass feedback is added to the annotation algorithm to produce more accurate result. By this approach, query interface annotation can reach a perfect accuracy.     

A kind of algorithm onB-spline wavelet-BEM

B-Spline wavelet-BEM numerical algorithm is presented. To avoid to treating singular integrals in wavelet-BEM, a method of putting source points out of the domain is used and discussed. Meanwhile, two higher effective numerical quadrature formulae are suggested. Finally, an example in mechanics is given and numerical results show that this method is effective. In addition, this method can be extended to manipulate problems, especially, with singularity. Foundation item: Supported by the National Natural Science Foundation of China Biography: CHENG Yong-jun (1971-), male, Master candidate. Research interests ars in wavelet theory and its application.     

Time-Based Dynamic Trust Model Using Ant Colony Algorithm

The trust in distributed environment is uncertain, which is variation for various factors. This paper introduces TDTM, a model for time-based dynamic trust. Every entity in the distribute environment is endowed with a trust-vector, which figures the trust intensity between this entity and the others. The trust intensity is dynamic due to the time and the inter-operation between two entities, a method is proposed to quantify this change based on the mind of ant colony algorithm and then an algorithm for the transfer of trust relation is also proposed. Furthermore, this paper analyses the influence to the trust intensity among all entities that is aroused by the change of trust intensity between the two entities, and presents an algorithm to resolve the problem. Finally, we show the process of the trusts＇ change that is aroused by the time＇s lapse and the inter-operation through an instance.     

Mouse Karyotype Obtained by Combining DAPI Staining with Image Analysis

In this study, mitotic metaphase chromosomes in mouse were identified by a new chromosome fluorescence banding technique combining DAPI staining with image analysis. Clear 4＇, 6-diamidino-2-phenylindole （DAPI） multiple bands like （J-hands could be produced in mouse. The Meta- Morph software was then used to generate linescans of pixel intensity for the banded chromosomes from short arm to long arm. These linescans were sufficient not only to identify each individual chromosome but also analyze the physical sites of bands in chromosome. Based on the results, the clear and accurate karyotype of mouse metaphase chromosomes was established. The technique is therefore considered to he a new method for cytological studies of mouse.     

Infrared spectroscopic and theoretical studies on cobalt (II) complex of maleinitriledithiolate and 4, 4′-dimethyl-2, 2′-bipyridine

The complete experimental IR spectra and vibrational analysis of the title complex Co(mnt) (dmbpy) were reported in this paper. The results show that the complex molecule has a planar geometry belonging to point groupC _2v and ground electronic state with spin quartet. A new method for analyzing vibrational spectra of complicated molecule is established. The essential of this method is to point out main fixed points and pivotal vibrational units in assignment for each fundamental band. Two new symbols π (heaving along the specified direction) andM (midpoint of a bond or unit) were defined for describing the vibrational modes accurately. Foundation item: Supported by the National Natural Science Foundation of China (No. 29771025) Biography: Peng Zheng-he(1945-), male, Professor, research direction: functional materials & physical inorganic chemistry.     

A Novel Digital Audio Watermarking Scheme in the Wavelet Domain

We present a novel quantization-based digital audio watermarking scheme in wavelet domain. By quantizing a host audio‘s wavelet coefficients (Integer Lifting Wavelet Transform ) and utilizing the characteristics of human auditory system ( HAS), the gray image is embedded using our watermarking method. Experimental results show that the proposed watermarking scheme is inaudible and robust against various signal processing such as noising adding, lossy compression, low pass filtering, re-sampling, and re-quantifying.     

A Requirements Engineering Environment for Embedded Real-Time Software—SREE

The paper presents the embedded real-time software-oriented requirements engineering environment—SREZ. It involves the whole process of software requirements engineering, including the definition, analysis and checking of requirements ,specifications. We first explain the principles of the executable specification language RTRSM. Subsequently, we introduce the main functions of SREE, illustrate the methods and techniques of checking requirements specifications, especially how to perform simulation execution, combining prototyping method with RTRSM and animated representations. At last, we compare the SREE with other requirements specifications methods and make a summary for SREE＇s advantages.     

Incremental training for SVM-based classification with keyword adjusting

This paper analyzed the theory of incremental learning of SVM (support vector machinc) and pointed out it is a shortage that the support vector optimization is only considered in present research of SVM incremental learning. According to the significance of keyword in training, a new incremental training method considering keyword adjusting was proposed, which eliminates the differcnce hetween incremental learning and batch learning through the keyword adjusling. The experimental results show that the improved method outperforms the method without the keyword adjusting and achieve the same precision as the hatch method.     

Towards the Idealization Procedure of BAN-Like Logics

We demonstrate the flaws of Mao‘s method, which is an augmentation of protocol idealization in BAN-like logics, and then offer some new idealization rules based on Mao‘s method. Furthermore, we give some theoretical analysis of our rules using the strand space formalism, and show the soundness of our idealization rules under strand spaces. Some examples on using the new rules to analyze security protocols are also concerned. Our idealization method is more effective than Mao‘s method towards many protocol instances, and is supported by a formal model.     

Stable initialization scheme for K -means clustering

Though K-means is very popular for general clustering, its performance which generally converges to numerous local minima depends highly on initial cluster centers. In this paper a novel initialization scheme to select initial cluster centers for K-means clustering is proposed. This algorithm is based on reverse nearest neighbor (RNN) search which retrieves all points in a given data set whose nearest neighbor is a given query point. The initial cluster centers computed using this methodology are found to be very close to the desired cluster centers for iterative clustering algorithms. This procedure is applicable to clustering algorithms for continuous data. The application of proposed algorithm to K-means clustering algorithm is demonstrated. Experiment is carried out on several popular datasets and the results show the advantages of the proposed method. Foundation item: Supported by the National Natural Science Foundation of China (60503020, 60503033, 60703086), the Natural Science Foundation of Jiangsu Province (BK2006094), the Opening Foundation of Jiangsu Key Laboratory of Computer Information Processing Technology in Soochow University (KJS0714) and the Research Foundation of Nanjing University of Posts and Telecommunications (NY207052, NY207082)     

Methods of constructing optimal wavelet filters based on genetic algorithm

In this paper, algorithms of constructing wavelet filters based on genetic algorithm are studied with emphasis on how to construct the optimal wavelet filters used to compress a given image,due to efficient coding of the chromosome and the fitness function, and due to the global optimization algorithm, this method turns out to be perfect for the compression of the images. Foundation item: Supported by the Natural Science Foundation of Education of Hunan Province(21010506) Biography: Wen Gao-jin( 1978-), male, Master candidate, research direction: evolutionary computing.     

Probabilistic Analysis on Connectivity for Sensor Grids with Unreliable Nodes

0 IntroductionWireless sensor networks consist of manynodes , each containing application-specificsensors ,a wirelesstransceiver ,anda si mple proces-sor[1-4]. Sensor networks have extensive applica-tions . A large number of research results can beseenin Refs .[5-7] .This paper mainly concerns with sensor net-works that are inherently unreliable. We consider anetwork with mn nodes ,arranged in a grid over asquare region of areaA. This model was presentedin[8 ,9].Each nodeis a sensor ,and can…