Analysis of PROFIBUS-DP Network Delay and Its Influence on the Performance of Control Systems

This paper analyzes PROFIBUS-DP network delay in detail and presents the calculational formula of its maximum time-delay, which is significant to the research of PROFIBUS-DP. At the same time, the paper puts forward a method of simplifying the network induced time-varying indeterminate system according to the features of the network. Through the analysis of a pump-control-motor system which is composed of PROFIBUS-DP network, it illustrates the network＇s influence on the performance of control systems. This method helps to design and analyze the network＇s influence on the performance of control systems, which is of considerable practical value in a time when network control systern is widely used.     

Linear-Differential Cryptanalysis for SPN Cipher Structure and AES

0 Introduction Substitution and permutation network (SPN) structure is one of the most widely used structures in block ciphers. The SPN structure is based on Shannon’s principles of confusion and diffusion[1] and these principles are implemented through …     

Learning Vector Quantization Neural Network Method for Network Intrusion Detection

A new intrusion detection method based on learning vector quantization （LVQ） with low overhead and high efficiency is presented. The computer vision system employs LVQ neural networks as classifier to recognize intrusion. The recognition process includes three stages： （1） feature selection and data normalization processing;（2） learning the training data selected from the feature data set; （3） identifying the intrusion and generating the result report of machine condition classification. Experimental results show that the proposed method is promising in terms of detection accuracy, computational expense and implementation for intrusion detection.     

Research on Bayesian Network Based User＇s Interest Model

It has very realistic significance for improving the quality of users＇ accessing information to filter and selectively retrieve the large number of information on the Internet. On the basis of analyzing the existing users＇ interest models and some basic questions of users＇ interest （representation, derivation and identification of users＇ interest）, a Bayesian network based users＇ interest model is given. In this model, the users＇ interest reduction algorithm based on Markov Blanket model is used to reduce the interest noise, and then users＇ interested and not interested documents are used to train the Bayesian network. Compared to the simple model, this model has the following advantages like small space requirements, simple reasoning method and high recognition rate. The experiment result shows this model can more appropriately reflect the user＇s interest, and has higher performance and good usability.     

Research of Dynamic Competitive Learning in Neural Networks

Introduce a method of generation of new units within a cluster and a algorithm of generating new clusters. The model automatically builds up its dynamically growing in ternal representation structure during the learning process. Comparing model with other typical classification algorithm such as the Kohonen‘s self-organizing map. the model realizes a multilevel classification of the input pattern with an optional accuracy and gives a strong support possibility for the parallel computational main processor. The idea is suitable for the high-level storage of complex datas structures for object recognition.     

A classifier based on rough set and relevance vector machine for disease diagnosis

A new intelligent method for disease diagnosis based on rough set theory (RST) and the relevance vector machine (RVM) for classification is presented as the rough relevance vector machine (RRVM). The RRVM mixes rough set’s strong rule extraction ability with the excellent classification ability of the relevance vector machine through preprocessing initial information, reducing data, and training the relevance vector machine. Compared with traditional intelligence methods such as neural network (NN), support vector machine (SVM), and relevance vector machine (RVM), this method manages to identify disease samples objectively and effectively with less transcendental information. Biography: LI Dingfang (1965–), male, Professor, Ph. D., research direction: computational learning theory, computing in science and engineering.     

A Deep Web Query Interfaces Classification Method Based on RBF Neural Network

This paper proposes a new approach for classification for query interfaces of Deep Web, which extracts features from the form＇s text data on the query interfaces, assisted with the synonym library, and uses radial basic function neural network （RBFNN） algorithm to classify the query interfaces. The applied RBFNN is a kind of effective feed-forward artificial neural network, which has a simple networking structure but features with strength of excellent nonlinear approximation, fast convergence and global convergence. A TEL_8 query interfaces＇ data set from UIUC on-line database is used in our experiments, which consists of 477 query interfaces in 8 typical domains. Experimental results proved that the proposed approach can efficiently classify the query interfaces with an accuracy of 95.67%.     

Determination of ammonium ion in lake water by voltammetry

0　IntroductionDetectionofammoniumionisveryimportantinmanyfields,suchashealthcare,agriculture ,cultivationandenviron mentalpollutioncontrol.Severalanalyticalmethodshavebeende velopedforammoniumdeterminationincludingionchromatography ,spectrophotometry,fluorimetryandchemiluminescence .MostofthemarebasedonspectrophotometryusingtheBerthelot reactionbetweenammonium ,phenol,andhypochloriteleadingtothefor mationofanindophenoldye[1 ] .Thereactiontimeisaboutanhour,andsomedissolvedorganicnitrogencompo…     

Impulsive Control and Synchronization of a Critical Chaotic System

This paper investigates the impulsive control and synchronization of a chaotic system, which is a particular case of the so-called generalized Lorenz canonical form （GLCF） with r τ -1 Based on the impulsive control method, some new criteria are obtained to guarantee the impulsively controlled chaotic system and error system to be globally asymptotically stable at origin. Moreover, to be some simulation results are included to visualize the effectiveness and feasibility of the proposed method.     

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)     

Scattering from rough surfaces using the “shooting and bouncing rays” technique

The “shooting and bouncing rays” (SBR) technique is used to analyze the electromagnetic scattering characters of ocean rough surfaces varying with time. Some numerical results are presented and compared with the method of moments, and some factors, such as the incident angle, polarization and frequency are investigated which influence on electromagnetic scattering characters of ocean rough surfaces. Foundation item: Supported by the 863 High Technology Project of China (863-818-01-02) Biography: GAO Huo-tao(1964-), male, Ph. D. candidate. Research direction: electromagnetic field theory and engineering application     

Statistical properties of Chinese semantic networks

Almost all language networks in word and syntactic levels are small-world and scale-free. This raises the questions of whether a language network in deeper semantic or cognitive level also has the similar properties. To answer the question, we built up a Chinese semantic network based on a treebank with semantic role （argument structure） annotation and investigated its global statistical properties. The results show that although semantic network is also small-world and scale-free, it is different from syntactic network in hierarchical structure and K-Nearest-Neighbor correlation.     

Spectrophotometric determination of aluminium with 2,3,7-trihydroxy-9-[4-(2,4-dihydroxy)phenylazo] phenylfluorone

The conditions of color reaction of Aluminium(III) with a new organic reagent 2,3,7-trihydroxy-9-[2,4-dihydroxy)phenylazo] phenylfluorone (ARPF) in the presence of cetyltrimethyammonium bromide (CTMAB) were studied. It was found that Aluminium(III) reacts with ARPF and CTMAB in pH 6.5 HAc-NaAc buffer solution to form a 1∶2 red complex with maximum absorption at 562 nm. The molar absorptivity is 1.10×10⁵ L·mol⁻¹·cm⁻¹. Beer’s law is obeyed in the range of 0–5.5 μg Al(III) per 25 mL. The method has been applied to determination of Aluminium in the limestone with satisfactory results. To whom Correspondence should be addressed Foundation item: Supported by Special Funds of State Education Committee for Doctorate Research Biography: Huang Ying-ping (1963-), male, Ph.D Candidate.     

A processing approach for event-based location aware queries in hybrid wireless sensor networks

In hybrid wireless sensor networks, sensor mobility causes the query areas to change dynamically. Aiming at the problem of inefficiency in processing the data aggregation queries in dynamic query areas, this paper proposes a processing approach for event-based location aware queries (ELAQ), which includes query dissemination algorithm, maximum distance projection proxy selection algorithm, in-network query propagation, and aggregation algorithm. ELAQs are triggered by the events and the query results are dependent on mobile sensors’ location, which are the characteristics of ELAQ model. The results show that compared with the TinyDB query processing approach, ELAQ processing approach increases the accuracy of the query result and decreases the query response time. Biography: HONG Liang (1982–), male, Ph.D. candidate, research direction: database system, sensor network.     

高效液相色谱法检测蔗渣半纤维素水解物中的单糖

用高效液相色谱法测定甘蔗渣半纤维素水解物中的单糖含量。以Ｈｙｐｅｒｓｉｌ ＮＨ２柱为色谱分析柱，用示差折光检测器检测，流动相是乙腈：水（８０：２０）。在此色谱条件下，甘蔗渣半纤维素水解物分离成：木糖、阿拉伯糖、果糖和葡萄糖。各单糖呈良好的线性。加样回收率的平均值为９７．３％～９８．７％，此方法简便、快速、准确。     

Studies on the inclusion complex reaction and fluorescent analytical application of β-cyclodextrin with hymecromone

The inclusion complex reaction condition and the mechanism of β-cyclodextrin with hymecromone have been studied by fluorescent spectrum. The fluorescent intensity and the stability of the system can be qreatly increased in qiven condition, and the formation constant of the inclusion complex reaction has been determined too. The system can be applied to the determination of trace amounts of hymecromone, the maximum fluorescent intensity is obtained with excitation and emission wavelength at 362 nm and 452 nm, respectively. The linear range for hymecromone is 8.0×10⁻⁹ mol·L⁻¹ to 1.0×10⁻⁵ mol·L⁻¹. The detection limit is 1.8×10⁻⁹ mol·L⁻¹. A simple, rapid and highly sensitive fluorimetric method is proposed for the determination of hymecromone. The results obtained are in agreement with those given by an official method. Foundation item: Supported by the National Natural Science Foundation of China (G1999046703) Biography: Luo Zhao-fu(1947-), female, Associate professor.     

An investigation on supercooling directional solidification process of Cu-Ni single phase alloy

Supercooling directional solidification (SDS) is put fotward by combination of melt supercooling and conventional solidification by application of supercooling inheritance. On the self-designed SDS equipment, SDS of Cu-Ni alloy was achieved successfully The results are as follows f (i) The primary arm spacing is about 30 μm, the growth of secondary arms are strongly suppressed. The primary arm spacing is nearly the same as LMC method (GL=25 K/mm, V=500 pm/s), the primary stems are straight, fine and completed. with an inclination angle of about 5.8° (ii) A semi-quantitative T-T model is brought fotward to describe the dendrite growth rate V vs. undercooling AT The prediction of T-T model agrees well with experimental results. The formation of fine equiaxed dendrites, transition region and dendrite region can be explained successfully by △T-V-x relation of T-T model.     

MPO4 (M=Sc, Lu, Y) :Ti3+ 自旋哈密顿参量的理论研究

利用高阶微扰方法和完全对角化方法分别计算了MPO4 (M=Sc, Lu, Y) ：Ti3+的自旋哈密顿参量（g 因子 g// , g和超精细结构常数A//, A),两种方法的计算结果非常接近,并且均和实验值吻合的很好,这表明这两种方法都是研究过渡金属离子自旋哈密顿参量的有效方法。另外,还对所研究的三种不同材料的共价性和芯极化常数性质进行了讨论。     

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.     

Secure localization algorithm based on node cooperative for sensor networks

As to the safety threats faced by sensor networks （SN）, nodes limitations of computation, memory and communication, a secure location algorithm （node cooperative secure localization, NCSL） is presented in this paper. The algorithm takes the improvements of SN location information security as its design targets, utilizing nodes＇ cooperation to build virtual antennae array to communicate and localize, and gains arraying antenna advantage for SN without extra hardware cost, such as reducing multi-path effects, increasing receivers＇ signal to noise ratio and system capa- bility, reducing transmitting power, and so on. Simulations show that the algorithm based on virtual antennae array has good localization ability with a at high accuracy in direction-of-arrival （DOA） estimation, and makes SN capable to resist common malicious attacks, especially wormhole attack, by using the judgment rules for malicious attacks.