bluuebunny/crossref_metadata_2025 huggingface dataset:
Four Quadrants Numerical Prediction for Hydrodynamic Performance of Open-Water Propeller
Authors: Xiao Bing , Wang Xiao , Shi Ai Guo , Wu Ming
Published: November 2010

In order to obtain the four quadrants hydrodynamic performance of open water propeller by means of CFD, a mathematic model of three dimensional coordinates points was established and programmed using Matlab based on the basic parameters of propeller. A smooth model propeller was made by importing these points into front end software. Then taking AU model for example, numerical simulations of propeller turning ahead while going ahead, turning ahead while going astern, turning astern while going ahead and turning astern while going astern were carried out. At the same time, the thrust and torque coefficients were presented. The simulation results showed good agreement with the results of tank test. The influence of mesh generation and computational domain on open-water performance were also discussed.
The Converse Theorem of Lyapunov Exponential Stability Theorem
Authors: Zhang Yan Juan , Ding Chun Yan , Yan Shao Hong , Yu Ying , Zhang Jin Ying , Zhao Hui Juan
Published: November 2010

The dynamical behavior for nonautonomous is complicated.So, even if some basic concepts in the dynamical theory for nonautonomous systems are still undergoing investigations and need to be further developed. And Lyapunov functions play an important role in the study of the stability theory and control theory. In the view of the use of Lyapunov method, this paper is concerned with a converse theorem of Lyapunov exponential stability theorem. First, we show the content of the theorem, and then the proof is given.
Model of Pollutant Loads and Rainfall Physical Parameters for Urban Surface Runoff
Authors: Liu Jian Kang , Luo Hong Bing , Huang Gu , Liu Xiao Ling , Li Mei , Liang Jie
Published: November 2010

The urban surface runoff pollution is a very complicated process of multimedia, spatiotemporal multidimensional and multi-pollutants. On the basis of monitored pollutant loads of urban surface runoff at a catchment in Futian River watershed in Shenzhen City of China, a regression model of pollutant loads of urban surface runoff with rainfall physical parameters was established, in which the rainfall parameters include rainfall depth (h), average intensity (I), antecedent dry period (D), event duration (T), maximum instantaneous intensity (IMAX) and maximum 5 minutes average intensity (I5min). In the study area, the variable found to be most significant in the prediction of the pollutant load for COD, SS, TN and TP was the rainfall depth. Other rainfall parameters have different contribution to the pollutant loads.
Using Virtual Reality to Determine how Visual Factors Impact Pedestrian Behavior - A Case Study in Hubin Road, China
Authors: Zhang Yan
Published: November 2010

This paper investigates a comprehensive system to apply the spatial-temporal grid method based on a visual, virtual model to collect adequate information for an in-depth understanding of pedestrian behavior affected by the landscape elements in an empirical study of the Hubin Road area (closed to West Lake) of Hangzhou, Capital of Zhejiang Province, one of most famous tourist cities in China. Using some well-known benchmarks of pedestrian practices, the paper presents the temporal distributions of walking activities and behaviors. This paper has four parts: (1) introduces the present research on the spatial-temporal method and the problems with the concept to analyze the effects on the pedestrian behavioral study, (2) defines the new model assembled by spatial modeling linked QTVR technology for presenting pedestrian behaviors in central sightseeing destinations, (3) summarizes the results of sequential pedestrian movement collected from the spatial-temporal grid investigation and the virtual experiences during sightseeing and strolling activities on the case study area, and finally, (4) make suggestions for the spatial planning of the study area, and implementing a vision of future studies based on this system.
The Prediction Research on the Transport & Storage of Guangxi in China with the GMDH Algorithm Method
Authors: Liao Zhi Gao , Lu Zhi Ping , Lu Chen Yu , Fang Wen
Published: November 2010

This paper uses GMDH method to establish a prediction model to forecast the output value of transport&storage of Guangxi in China, since the original samples of the output value of transport&storage are less enough to be used with the traditional methods. Compared with traditional linear regression and artificial neural network, the predicted results show that GMDH method is an effective way to predict car ownership with a small sample of history data in the complex economic system.
Generalized Constraint Neural Network Model System Parameter Identification
Authors: Zhang Shuang , Jin Gang , Xiao Jing , Li Shu , Qin Yu Ping , Liu Jin Hua , An Tao , Zhong Wei Fan
Published: November 2010

By analyzing and deducing generalized constraint neural network (GCNN) with model some present theories, the identification method of the m-input n-output (MINO) and multiple-input multiple–output (MIMO) systems is acquired. It is possible to improve the transparency of the black box through the practical test. This identification method is useful to enhance identification of GCNN model’s parameters, moreover, the identification ability of the neural network black box system model is further made better.
Low-Temperature Synthesis of Improved LiMn2O4 by a Modified Solution Combustion Synthesis
Authors: Liu Gui Yang , Guo Jun Ming , Wang Bao Sen
Published: November 2010

Pure and highly crystalline spinel LiMn2O4 has been successfully prepared by a modified solution combustion synthesis (MSC) method at 400oC for 5h, while strong Mn2O3 impurity is present in the product prepared by conventional solution combustion synthesis (CSC) method on the same conditions. The particle size of LiMn2O4 prepared by MSC method is about 200 nm with a uniformly distribution. Electrochemical tests indicate that the LiMn2O4 prepared by MSC method exhibits a higher capacity, better cycle life and better rate capability than that of prepared by CSC method. It is proved that some disadvantages (such as low purity and bad crystallinity) of CSC method at low temperature can be improved efficiently by MSC method.
Resource Virtualization Model in Cloud Manufacturing
Authors: Wu Lei
Published: November 2010

To solve more complex manufacturing problems and perform larger scale collaborative manufacturing, a new service-oriented networked manufacturing model—Cloud Manufacturing is presented. The paper presents a resource virtualization model to support resource sharing in cloud manufacturing environment. It can be decomposed into four layers: manufacturing resources layer, concrete web service layer, logical service layer and application layer. The relationships of every layer are discussed in detail. At last, we make a conclusion and put forward the future work.
Intelligent Data-Fusion Model Using Correlation Fractal Dimension for Structural Damage Identification
Authors: Jiang Shao Fei , Fu Chun , Wu Zhao Qi
Published: November 2010

To extract effectively features and improve damage identification precision, this study proposed an intelligent data-fusion model by integrating fractal theory, probabilistic neural network (PNN) and data fusion. A two-span concrete-filled steel tubular arch bridge in service was used to validate the intelligent model by identifying both single- and multi-damage patterns. The results show that the intelligent model proposed can not only reliably identify damage with different noise levels, but also have an excellent anti-noise capability and robustness.
The Effect of the Humidification Treatment of the Roving on the Quality of the Hemp/Cotton Blended Yarn
Authors: Li Zhi , Li Ya Bin , Zhang Hua , Wang Xiao Ting
Published: November 2010

A humidification approach was employed by using spraying mist on the roving before the back rollers of the spinning frame to improve the quality of the hemp/cotton blended yarn. The yarn performance after was investigated. The investigation showed that the evenness, hairiness, tenacity of the yarn was improved by using the humidification technique. When the humidification reached 250mL/h, the spinning process was adversely affected and quality of yarn decreased.
Evidence Theory of One-Dimensional Compression KNN Classification Method
Authors: Yan Wei Feng , Wu Gen Xiu , Li Can Ze , Zhou Li
Published: November 2010

As only using Euclidean distance KNN algorithm has its limits, many researchers use other distance calculation methods as the replacement it to improve the accuracy of Data Classification. While combining the DS evidence theory with a series of KNN algorithm which discussed in this paper, we found that every algorithm has their merits. All of them ignore the analysis of the data set, through deeply analysis we found that the actual distance is determined by the larger value when two attribute values are in great difference. Therefore, what we do next is to compress the large-dimensional numerical data values. By this way, the accuracy of KNN, VSMKNN, KERKNN algorithm are obviously improved after experiment and then these new methods are called CDSKNN, CDSVSMKNN, CDSKERKNN.
Optimal Operational Planning of Utility Systems in Petrochemical Plants Using an Improved Particle Swarm Optimization Algorithm
Authors: Dai Wen Zhi , Huo Zhao Yi , Yin Hong Chao , Liang Hai Feng
Published: November 2010

In this paper, the operation optimization problem for utility systems is formulated and a mixed integer linear program (MILP) model is presented. The objective function of the model is to minimize the operational cost of utility systems during the whole operational period. In order to obtain the optimal solution of the foregoing model, an improved particle swarm optimization is proposed. Finally, a case with quantitive results presented is considered for illustrating the advantage of proposed optimization approach. Results show that the new algorithms are much more efficient than some existing particle swarm optimization algorithms.
Research on the Arithmetic of the Image Processing of Flange Weld Seam
Authors: Huo Ping , Li Xiang Yang , Han Ju
Published: November 2010

This passage develops a set of arithmetic process for the image of the weld seam in flanges, which suits the weld process according to the feature of the seam. In terms of the arithmetic process for image, traditional methods are replaced by the opening and closing of mathematical morphology, which effectively smoothes the interferences of weld points, surface scratches, glistens and false edges, thus forming sharp and smooth image of weld seam. The arithmetic process of image proves to be brief and highly effective, which meets the practical need of the construction supported by the image of the weld seam. This passage also, taking weld seam as an example, focuses on the discussion of the erosion and dilation of the opening and closing calculations, which are of great value towards administering the process of processing editing the image.
Color Image Region Growth Segmentation Integration of Normalized Cut
Authors: Wu Xiao Ying , Ma Li Juan , Li Zhao Feng , Yan Shi Tao
Published: November 2010

This paper solves that image segmentation result is not consistent with human visual perception or too broken. First of all, based on the continuity of image features, appropriate human vision, calculated the similarity of color image pixel as Eq.2 in HSV space to grow region, then made the regional merge, using normalized-cut segmentation method as Eq.4 and Eq.5 to eliminate over-segmentation phenomenon. In this paper, experimental results shows that the segmentation can be achieved very good results as Fig.1, and parts of the method can be applied in other segmentation to solve over segmentation. This method on color images as the research object is different from other methods on gray images, the selection of seeds and achieves these automatic that differ from general algorithms, presents a new implementation to solve over-segmentation.
Based Flying Capacitor Converter Wind Power Generator System
Authors: Xu Hong Yan
Published: November 2010

Direct drive wind power system need full-scale high power converter, such as flying capacitor multilevel converter. On the realization of high power electronic equipment, an important problem is that the working frequency of high power devices is too low to apply excellent modulated technique such as PWM. In large-power equipment, the switching frequency of power electronics devices is such low that good control performance can't be obtained with a single converter. In order to overcome this problem, Carrier phase-shifted SPWM technique (CPS-SPWM) has been researched. Reactive power compensation and harmonic reduction are two relevant research problems that exist in wind power system. With the advancement of modern power electronics technology in both circuits and devices, new and better solutions are being proposed and applied to solve these two problems. To compensate reactive power, a flying capacitor type multilevel inverters with a Carrier Phase-Shifted SPWM(CPS-SPWM) switching scheme is proposed. All this verified by simulation and experiment.
Analysis of Electrostatic Precipitator’s Vibration Cleaning Device
Authors: Peng Hao Ge , Liu Jun An , Deng Yi , Xie Qi
Published: November 2010

The research shows that the proper acceleration（RMS）of collecting dust from plate under impaction is about 50g. At present electrostatic precipitator’s impaction machine is basically designed by gradual experiences, experiments and revises. With heavy workload, this way is more complex and cost much because of the large structure of ESP. This paper studies the response of Electrostatic Precipitator’s Plate under impaction with finite element method, using dynamic analysis to accomplish the design of impaction device by the analysis of the acceleration distributing on impact, and provides evidences to upgrade ESP.
Modification of Wheat Straws through Steam Explosion and its Effect on Panel Properties
Authors: Fu Shun Xin , Han Guang Ping , Cheng Wan Li , Deng James
Published: November 2010

Particleboards bonded with urea formaldehyde (UF) and a combination of UF and methylene diphenyl diisocyanate (MDI) resins were manufactured using wheat straws modified through different steam explosion treatments. The effect of steam explosion treatment, resin system, and mixing ratios of wood and straw materials on the panel properties was investigated. Generally, with steam explosion treatment of straw fibers, panel properties in bending and internal bond (IB) strength increased, thickness swelling (TS) and water absorption (WA) decreased. The bending properties for the panels made from the straws pretreated with 12 h water-soaking were significantly improved at the UF/MDI content level of 5%/1%. The IB strength dramatically increased, while TS and WA decreased with the use of dual resins. With increased weight ratio of wheat straw to wood particles, the bending properties, IB strength, TS and WA deteriorated. Pure wheat straw boards had the lowest properties. Wood particles in substitution for part of straw materials helped improve the panel properties. The results demonstrated that steam explosion modification and/or its combination with UF/MDI dual resin system can be a feasible approach to improve the bonding strength for wheat straw based particleboards.
Experimental Analysis on Technology of Piezoelectric Self-Adaptive Micro-EDM
Authors: Fu Xiu Zhuo , Zhang Qin He , Bao Guang Hua , Zhu Yu Jie
Published: November 2010

Micro electrical discharge machining (micro-EDM) has some shortcomings such as poor material removal rate (MRR) and high electrode wear ratio (EWR) etc, in order to overcome these demerits, a new piezoelectric self-adaptive micro-EDM, based on inverse piezoelectric effect, was developed in this paper. The structure and working principle of this new technology are different from traditional micro-EDM. Piezoelectric actuator used as the micro driven mechanism and it is simple. This new technology can realize self-elimination in the working process because of its special structure. Working principles and process of the new system were analyzed in this paper. The effect of parameters such as voltage, capacitance, and resistance on MRR, EWR and surface roughness was analyzed. Statistical analyses of the results show that voltage, capacitance significantly influence MRR, EWR and surface roughness. Resistance R1 and R2 has much influence on MRR and relative small effect on EWR and surface roughness.
Implementation and Validation of an Improved Collaborative Optimization Method
Authors: Han Ming Hong
Published: November 2010

Collaborative optimization (CO) is the most widely used Multidisciplinary design optimization (MDO) method for the design of complex engineering system. But some serious computational difficulties are found in its application. Reasons that cause computational difficulties in original CO were analyzed and a new improved collaborative optimization method (ICO) was presented. The L1 norm was used to improve subsystem consistency constraint and to avoid discontinuities in subsystem object function derivatives. Penalty function was added to system-level object function to convert constrained optimization into unconstrained optimization. A quick-start strategy was used to make the best use of optimal solution of system-level optimization in subsystem-level optimization. Experimental results show that the robustness, reliability and computing efficiency of ICO are higher than CO.
Tensile Tests on High Strength Steel Q345 Notched Plates with the Moderate Thickness
Authors: Wang Wan Zhen , Jiang Lan Ying , Sun Ren Quan , Wang Xin Tang
Published: November 2010

In order to study fracture mechanics of high strength steel with the moderate thickness, fracture tests were performed on 10 elliptical notched plates with the thickness of 16mm fabricated from high strength steel Q345. The effect of notch sharpness (the ratio of the length of short axis to that of long axis of elliptic notch, b/a) and notch depth (the ratio of the length of long axis of elliptic notch to the width of plate, a/w) on fracture model of high strength steel was examined. Test results show that the first crack initiates at the notch edge. The fracture ductility is low for the specimens with the sharper notch (a smaller ratio b/a), and the point of crack load lies in hardening phase of load-displacement curve. The fracture ductility is high for the specimens with the obtuse notch (a bigger ratio b/a), and the point of fracture load lies in necking phase of load-displacement curve. There is no qualitative relationship of fracture ductility and the notch depth (a/w). The ultimate strength of notched plates is independent of the notch sharpness (b/a) and notch depth (a/w).
Numerical Analysis on Splitting Failure of Brittle Material
Authors: Liu Ning , Zhang Chun Sheng
Published: November 2010

Realize the basic process of fracture analysis in ANSYS. The fore treatment program of crack propagation simulation is compiled by parameterization method of apdl. The calculation and analysis is automatic. ANSYS is well for simulating the structures which contain cracks and bugs. When the parameters are suitable, the propagation of cracks can be simulated well in ANSYS. The different phases of crack propagation are simulated. To compare with the results by theory, perfect the formation process and mechanism of splitting cracks.
Analysis and Simulation of Automatic Control System
Authors: Chen Feng , Chen Limin
Published: November 2010

With the rapid development of modern science and technology, the importance that control theory will be applied to mechanical engineering is increasingly evident. Matlab is a high-performance language for technical computing and Simulink provides a graphical user interface for building models as block diagrams. This article analyzes the application of the simulation software in mechanical engineering by taking position control servo system of CNC machine tool for example. Matlab also provides a function for frequency domain analysis, which has some functions of directly computing frequency response of systems, also drawing of some typical frequency response curves of the control system, and greatly simplifies the process of frequency-domain analysis. System stability can be judged from system frequency characteristic curve. According to judgment of stability of the system, characteristics of the system is easy to be observed by the simulation results, it can greatly improve quality and reliability of the programming with a friendly graphical user interface.
The Forecast of the Requirement of Distance Education Resources Based on Neural Network
Authors: Gao Jia , An Jin Liang , Li Zhao Feng , Song Yu Zhen
Published: November 2010

To enable the distance education resources reflect the actual needs of the uers, overcome the subjectivity,blindness, repeatability and other shortcomings in the resources development process.The article proposed BP(Error Back ropagation)neural network used in the forecast of requirements for modern distance education resources. On the base of the analysis of the advantage of BP network, constructed the network topology with one hidden layer, analysed the algorithm by discussing the relationship between nerwork layers ,gave the algorithm steps in detail. Experiments showed that: through training, adjusting the weights between neurons in the network, the network can forecast the requirements for education resources intelligent. Compared with traditional methods, this method has strong robustness and fault tolerance,so can apply more.
(∈,∈ vq(λ,μ))–Fuzzy (Completely) Regular Subrings
Authors: Liao Zu Hua , Cao Shu , Hu Miao Han , Wu Lian
Published: November 2010

This paper gave the definition of fuzzy (completely) regular subring ,generalized fuzzy (completely) regular subring , fuzzy (completely) regular subring and some properties of them .Baesd on the idea of generalized fuzzy subring,we obtain the equivalent connection between them and discuss some algebraic properties of them .Finally,we give the properties of homomorphic image and homomorphic preimage of fuzzy (completely) regular subring
A New Close-Form Solution for Initial Registration of ICP
Authors: Liu Li Zhao , Hu Xiao Jing , Chen Yu Feng , Zhang Tian Hua , Li Mao Qing
Published: November 2010

The paper proposed a original matching algorithm using the feature vectors of rigid points sets matrix and a online matching intersection testing algorithm using the bounding sphere. The relationship searching between points in each set is took place by the corresponding eigenvectors that is a closed form solution relatively. The affine transformed eigenvalue and eigenvector is also used instead of the affine transformed points sets for the non-rigid matching that do not need the complicated global goal function. The characteristics matching for the initial registration can give a well initial value for the surfaces align that improve the probability of global solution for the following-up ICP
The Research about Intelligent Search Engine and in Digital Library Personalization Services
Authors: Fu Jun Hui , Lv Jing Qiao , Li Xue Yong
Published: November 2010

This article describes the working principle of search engine and classification, analyze the characteristics of intelligent search engine, according to the characteristics set up a work flow chart of the intelligent search engine, finally made how to apply intelligent search engine to digital library personalization services. With the emergence and development of the Internet search engine developed from the traditional to the intelligent search engine, as a new generation of information retrieval tools, intelligent search engine, relying on its own merits, is more and more applications to different fields..Web site survey showed that 75% of visits come from search engine referrals. How to effectively apply intelligent search engine to digital library, to build a digital library with our characteristics is a problem we face.
Adaptively Secure Identity-Based Threshold Broadcast Encryption without Random Oracles
Authors: Zhang Le You , Hu Yu Pu , Wu Qing
Published: November 2010

A mobile ad hoc network has the computational and energy constraints, the general threshold cryptography does not suit it. In this paper, we consider a new kind of proper public encryption to the ad hoc networks: threshold broadcast encryption. A new construction of identity-based threshold broadcast encryption is proposed. In the proposed scheme, any user can dynamically join the system as a possible recipient, and the sender can dynamically choose the set of recipients and the threshold value t. Our new scheme achieves constant size private keys and O(n-t)-size ciphertexts. This is the first scheme which achieves short ciphertexts and full security in the standard model. Finally, we also show that it is provable security under n+1-Weak Decision Bilinear Diffie-Hellman Exponent (n+1-wDBDHE) assumption.
Analysis of Zhejiang Logistics Industry Spreading Effect Based on Inverse Matrix Coefficient Table
Authors: Zhang Rui , Hu Jun , Huang Lin Ping
Published: November 2010

With economic globalization, the modern logistics industry has been considered as a key of the national economic development. Based on Inverse Matrix Coefficient Table, using spreading effect analysis method, an empirical study was conducted about the development of logistics industry in Zhejiang Province. The position of the logistics industry was identified in national economic development of Zhejiang Province. The conclusion is that government should give priority to the development of basic industries and bottlenecks industry including of logistics industry.
Study on Traffic Congestion State Modeling of Urban Road
Authors: Wang Min , Xu Liang Jie
Published: November 2010

In this paper, from the medi-scope point of view, the intersection parameter is classified as the section parameter, and then the new intersection traffic state coefficient is defined. Based on the reachable matrix, a new method-hierarchical intersection analysis is used to divide the intersections into different crowded levels. Next, crossroad accessibility matrix is developed to distinguish the section connectivity and get the state results of the whole network. Last, we use this method to identify congestion state of the traffic on the road around Wuchang railway station, and the outcome shows the simulation result and the practical state are consistent.
Electromagnetic Material Based Semi-Passive Switching Shunt Damper
Authors: Shen Yun De , Ma Guang , Oh Il Kwon , Cheng Tai Hong
Published: November 2010

This paper describes the implementation of semi-passive switching shunt control for electro-magneto-mechanically coupled flexible structures. This simple system consists of a permanent magnet attached to an aluminum beam and a coil placed below the magnet with a switching circuit connected to the end of the coil. The MATLAB Simulink program and dSPACE hardware were employed for realizing the switching mechanism. Switching is done between open-circuit and short-circuits states. When the structure moves away from equilibrium, the circuit is short circuited, thereby dissipating energy, subsequently the system returns back to open circuit state. This novel self-sensing electromagnetic switching damper was compared with the traditional laser-sensing method for vibration control of the structure. The results show that the proposed semi-passive switching shunt damper can be successfully applied to minimize the magnitude of vibrating flexible structures.
The Study on Anti-Icing Critical Current of Overhead Conductors
Authors: Zhang Bin , Wang Jin , Song Jun Ying , Yang Hong Ming , Liu Xi Zhe
Published: November 2010

Preventing high-voltage power transmission lines ice-covered is ensure to power system the important guarantee of safe and reliable operation in the extreme weather. The size of anti-ice critical current is reasonable or not will directly affect the anti-ice effect. This paper conducts a comprehensive analysis of thermal balance process of the wire surface, and proposes a critical current model to anti-ice. In this paper, the minimum melting ice current of under the ultra-thin ice cover (0.05mm) circumstance is regarded as the anti-ice currents. Finally, by the model established in this article, calculating critical current of some typical wires in Hunan electric power grid, and the result is compared with result of existing literature made the critical current model, verified accuracy of model.
The Study on Knowledge Service Models in Digital Library
Authors: Zhao Gui Fen
Published: November 2010

The integration of DL and distance education is a significant topic of theoretical and practical research. This paper mainly discusses the principles of knowledge service of DL and four knowledge service models for distance education under the principles, namely, specialized service model based on subject knowledge base, content-based reference service model, personalized custom-made service model, and teamwork service model. The key point of realizing these models is to take distance education users as the center, set up subject information service platform, personalized information push platform, subject librarian knowledge service platform and platform for learning resource sharing and system interoperability, and properly integrate these platforms.
An Efficient Distance Education System Based on VOD Cluster
Authors: Wu Zhou
Published: November 2010

Distance education is a field of education that focuses on the pedagogy, technology, and instructional system designs that aim to deliver education to students who are not physically "on site" in a traditional classroom or campus. It has been described as a process to create and provide access to learning when the source of information and the learners are separated by time and distance. This emerging technology is becoming widely used in universities and institutions around the globe. With the recent trend of technological advance, distance learning is becoming more recognized for its potential in providing individualized attention and communication with students internationally.
An Improved Data Mining Method Applied to Enterprise’s Financial
Authors: Wang Yin Qiu , Xu Xun
Published: November 2010

Data mining is the process of analyzing data from different perspectives and summarizing it into useful information. The financial management of enterprise management is an important component of the work is the core of enterprise management, improve business management and enhance the economic efficiency of enterprises is very important role. This paper proposes an improved data mining method to enhance the capability of exploring valuable information from financial statements. Experimental results indicate that this proposed method significantly improves the performance.
A Novel Empirical Mode Decomposition Denoising Scheme
Authors: Du Wei , Liu Quan
Published: November 2010

This paper presents a novel and fast scheme for signal denoising by using Empirical mode decomposition (EMD). The EMD involves the adaptive decomposition of signal into a series of oscillating components, Intrinsic mode functions(IMFs), by means of a decomposition process called sifting algorithm. The basic principle of the method is to reconstruct the signal with IMFs previously selected and thresholded. The denoising method is applied to four simulated signals with different noise levels and the results compared to Wavelets, EMD-Hard and EMD-Soft methods.
Chattering Reduction of Sliding Mode Control by Adopting Nonlinear Saturation Function
Authors: Cheng Ning Bo , Guan Li Wen , Wang Li Ping , Han Jian
Published: November 2010

This paper proposes a simple method dealing with chattering phenomenon of sliding mode control. Instead of using a linear function to smooth the discontinuous control when the system is within the boundary layer, the controller adopts a smooth nonlinear function which we call a nonlinear saturation function (nsat function). Compared with the conventional linear saturation function (sat function), the nsat function can be constructed arbitrarily and shall satisfy eight conditions. Seven of the conditions are used to get a better effect in reducing chattering and one is used to keep a fast response performance by adjusting one constant parameter . As the nsat function can be specified by , it can be calculated in advance; this makes the nsat function of high computation efficiency and makes it acceptable in real time control systems. One candidate nsat function is constructed by adopting a hyperbolic tangent function and it is adopted in the simulations running on a second order system. Simulation results show that the nsat function also results in a smaller tracking error.
Design of the Thermoelectric Generator
Authors: Yang Gui Lin
Published: November 2010

Thermoelectric Generator is a device using the widespread natural temperature to generate electricity. On the basis of investigations and experiments, this paper fully expounded thermoelectric generator’s significance, system block diagram, circuits, operational principle, application foregrounds and etc. Semiconductor thermoelectric module and the controller compose the thermoelectric generator, semiconductor thermoelectric power modules change heat energy into electric energy, the electric energy is stored in the controller's battery by the charging circuit. The controller has many functions such as current limiting, under voltage and other functions. At the same time, we had also designed the step-up circuit, in this way, the thermoelectric generator can output higher voltage. The experiment results and application show the thermoelectric generator has good performance and powerful function, it is worth spreading.
Immune-Inspired Quantum Genetic Optimization Algorithm and its Application
Authors: Lian Zhe
Published: November 2010

Artificial immune systems (AIS), inspired by the natural immune systems, are an emerging kind of soft computing methods. This paper brings forward an immune-inspired quantum genetic optimization algorithm (IQGOA) based on clonal selection algorithm. The IQGOA is an evolutionary computation method inspired by the immune clonal principle of human immune system. To show the versatility and flexibility of the proposed IQGOA, some examples are given. Experimental results have shown that IQGOA is superior to clonal selection algorithm and Genetic Algorithm (GA) on performance.
Enterprise Search Services and Application of Security Database System
Authors: Ma Xin Qiang , Huang Yi , Lv Bo
Published: November 2010

With the help of enterprise information technology wave, a lot of internal information resources have come out. Enterprise search achieves more accurate positioning information, and it realizes the value from the information across to the knowledge. This paper discussed the enterprise search systems based on database security services. Such as Oracle Ultra Search, Sybase Enterprise Portal and LogicSQL-based enterprise archive and search system. The enterprise information resources integration and security search are completed in the search system.
Training Practice Talents of Information Management Professional
Authors: Wu Hai Yan
Published: November 2010

Information management professional is a comprehensive and practical characterized disciplines. students graduate from the professional should have a strong practical and innovative ability to adapt the needs of society. First, this paper analysis the social requirements for the students. then it proposed a new innovative training model based on a practice training camp project to meet the society. Finally, it presented the framework of project training camp and implemented the corresponding web site. The training camp has effectively enhanced the ability of applying knowledge and technical capacity, and at the same time stimulate their innovative capacity.
AI-VCR Searching without Information
Authors: Ye Qiu Sun
Published: November 2010

This paper promotes an AI-VCR technology of searching without information. VCR is an extension of FCR(Fixed Carrying Rules) which is also computation rules of FCN(Fixed Carrying Numbers). The FCN are some special examples of VCN(Variable Carrying Numbers). DFS(Depthfirst Search) is a blind searching without information. In AI-VCR technology, AI(Artificial Intelligence) is used in dynamic designing computation rules of VCN. Both FCR and VCR in searching without information are variables of nodes’ depth function. Finally, it gives out some examples of problem-solving method, namely problem-solving such as catching fish with casting a net or herdsman picks peaches with his fierce-looking before climbing up a tree.
Research on Identification Theories of Bridge Damage
Authors: Liu Guo Jun , Yang Yong Qing , Guo Fan
Published: November 2010

This paper makes a research on dynamic fingerprints methods and model updating methods of identification theories of bridge damage. And it has a full study on and makes a comparison among the four basic theories of dynamic fingerprints and their applications in engineering, signifying the advantages and disadvantages. The general procedures of damage identification of model updating method are proposed. And finally it points out that the problems needing further studies and the directions of development in damage identification theories.
A Novel Heuristic Genetic Algorithm Based on Simulated Annealing Strategy for Intelligent Computing
Authors: Diao Hong Xiang , Xiao Jian
Published: November 2010

Intelligent computing is the application of advanced computing methods to improve performance in areas such as complex representations that are clear to users and easily modifiable. The goal is to make decision making more reliable, spontaneous and creative. In this paper, we put forwards a novel heuristic genetic algorithm based on simulated annealing strategy. Experimental results show the effectiveness of the proposed algorithm.
Application of Much-Touted Stochastic Algorithm in Investigating Active Networks and World Wide Web
Authors: Li Jun , Qu Zhi Ming
Published: November 2010

Using the theory of explosion mechanics and gas detonation dynamics and the conservation law of mass, momentum and energy, the physical and mathematical models of damage effect are set up in excavation roadway during gas explosion. In view of gas concentration, accumulation position, volumes and states of spaces, the shock wave damage on structures in the roadway during gas explosion. The damage effects are characterized of heat and mechanic damage. Meanwhile, the high temperature and pressure are formed in different degree. With the action of overpressure and impulse, the damage degree is different with different geometric structures in ventilation system. By means of basic condition, influential factors, procedure features and simulation, some unnecessary structures or barriers should be cleared in order to keep smooth the ventilation system.
Research of Fault Diagnosis Based on Bayesian Network for Air Brake System
Authors: Zhang San Tong
Published: November 2010

A method for solving the fault diagnosis problem of air brake system based on probabilistic approach is presented. The fault diagnosis model based on Bayesian network was built for the uncertainty characteristic of fault in the air brake system. Through evaluating the characteristic of Bayesian networks in the diagnosis inference and model expression, it is demonstrated that this method can solve the uncertain problems in fault diagnosis. The test result has shown that the Bayesian network model is effective in fault diagnosis of the air brake system.
The Study on Sports CAD Training Software
Authors: Xu Ping Xiao
Published: November 2010

This paper has described the design problems of Sports CAD training software system from the perspective of competitive sports training methods and the regeneration of sports training knowledge and established a model of sports CAD training software system based on object. The research work has built a basic method foundation for the sports CAD training software system, which also has some referential significance for the research and development of CAD system in other fields.
Research and Applications of Access Control Based on Logic SQL Database System
Authors: Huang Yi , Ma Xin Qiang , Li Dan Ning , Wu Rong
Published: November 2010

Access control is the process of mediating every request to data and services maintained by a system and determining whether the request should be granted or denied. Access control policies are security policies that govern access to resources. It can be applied to several new types of databases. LogicSQL is an object relational database management system implemented with the advanced (formula-lock based) concurrency control protocol, and the steged database architecture. In this paper, we discuss access control in multilevel database management systems applies and illustrate the main applies of access control in the LogicSQL database system.
Research on Affective Recognition with Physiological Signals Based on IAGA and wkNN Classification
Authors: Wang Hai Ning , Sun Shou Qian , Shu Ting , Wu Jian Feng
Published: November 2010

The ability to understand human emotions is desirable for the computer in many applications recently. Recording and recognizing physiological signals of emotion has become an increasingly important field of research in affective computing and human computer interaction. For the problem of feature redundancy of physiological signals-based emotion recognition and low efficiency of traditional feature reduction algorithms on great sample data, this paper proposed an improved adaptive genetic algorithm (IAGA) to solve the problem of emotion feature selection, and then presented a weighted kNN classifier (wkNN) to classify features by making full use of emotion sample information. We demonstrated a case study of emotion recognition application and verified the algorithm's validity by the analysis of experimental simulation data and the comparison of several recognition methods.
Research about Petri Nets Modeling of Railway Spring Festival Passenger Transport Based on Scale Free Networks
Authors: Huang Biao , Li Yang , Zhou Quan , Guan Jin Jin , Wei Hua Dong
Published: November 2010

The research starts from the railway Spring Festival Passenger Transport problems which exposed in the natural disasters, introduces the conception of Scale Free Networks in Chinese railway Passenger Transport system, focus on discussing the characteristic of Chinese railway Passenger Transport system and other related problems, researches the characteristic of railway Spring Festival Passenger Transport, introduces the Petri nets to the “hub” nodes, takes the allocation of train resources and Evacuation of Passenger in emergency as examples, finish the modeling and analysis, it provides scientific research means and theoretical support for making Pre-planned Emergency Response Scheme for passenger pressure and disaster,enhancing the Fusion of multidisciplinary and enhancing railway emergency response capacity
Detecting Backbone of Weighted Complex Network
Authors: Lan Wang Sen , Zhao Guo Hao
Published: November 2010

In order to explore key nodes natures and find out the core of weighted networks, the study advanced backbone network (BN) conception, developed largest eigenvalue algorithm of weight matrix (LEAWM) which utilized matrix characteristic spectrum to detect BN nodes, and done empirical research for two networks: (1) US air lines network, (2) stocks network of coal and power sectors in china stock market. The empirical results indicate that LEAWM is efficient for detecting the BN nodes with some important properties such as bigger degree and betweenness, BN is the core and backbone of its mother network.
Particle-Size Effects on the Volatilization of Oil in Porous Media
Authors: Ma Yan Fei , Lu Jie , Feng Xue Dong
Published: November 2010

The volatilization process of oil with uniform size media as underlying material was studied. The weight loss of oil was determined by subtracting the columns’ pre and post weight measured on an electronic balance. The results show that the gasoline in porous media volatilizes at a logarithmic rate with respect to time, and the diesel oil in porous media volatilizes at a rate which can be best modelled as a square root of time. The volatilization coefficient of gasoline increases with the increment of particle size, and it of diesel oil decreases with increment of particle size. Binomial equation and power equation can describe the relationships of gasoline and diesel oil volatilization coefficients with mean grain size respectively.
Material Surface Reconstruction Based on Light Projection
Authors: Gai Shao Yan , Da Fei Peng
Published: November 2010

A surface reconstruction method for material shape analysis is presented. The three-dimensional shape reconstruction system detects object surface based on optical principle. A series of gratings are projected to the object, and the projected gratings are deformed by the object surface. From images of the deformed gratings, three-dimensional profile of the material surface can be obtained. The basic aspects of the method are discussed, including the vision geometry, the light projection and code principle. The proposed method can deal with objects with various discontinuities on the material surface, thus increasing the flexibility and robustness of shape reconstruction process. The experimental results show the efficiency of the method, the material surface can be reconstructed with high precision in various applications.
Decision Models of Supply Chain Under Asymmetric Information with Demand Disruption
Authors: Jiang Xin Rong , Li Yong Chao
Published: November 2010

This paper studied the influence of asymmetric information and demand disruption on the decision of the supply chain. We analyzed the supply chain decision models based on a Stackelberg game under normal circumstances and demand disruption situation. The conclusion indicates when the market demand is disrupted, the optimal wholesale price, the retail price, the supplier’s expected profit and the supply chain system’s expected profit change in the same direction as the demand disruption, while the optimal production quantity and the retailer’s profit both have certain robustness under disruption. Finally we gave a numerical example to illustrate our analysis.
Research of Influence Factors of Initial Crack with Slotted Charge Blasting
Authors: Yang Guo Liang , Yang Ren Shu , Huo Chuan , Pan C.C.
Published: November 2010

By numerical simulation, the researches of effecting initial crack forming with slotted charge blasting are performed. The effecting factories conclude radial uncoupled parameter α and seam width W. Herein α adopts 1.43, 1.67 and 2, and 4, 6, 8 and 10 are adopted by W separately. The pressure peak is 15.5 GPa under α=1.67, and formed long cracks. With 6 and 8 mm seam widths, energy focus phenomenon is remarkable. The results show that initial damage of rock are decided by peak pressure of gas and function time. The seam width has significant effect to initial damage. With W adopting 6 and 8 mm, effective energy propagation is ensured and excessive damage area is avoided. The experiments validate the simulation results.
The Applied Research of Real-Time Monitoring System for Earthquake
Authors: Liu Ying Li , Yan Te Liang , Jiang Zhen
Published: November 2010

In the vibration isolating foundation buildings, build strong earthquake observation system, at the same time, join the seismic observation to this system, underground observation is carrying along with the observation of the seismic response on the ground and the buildings. The dynamic accelerator-type apparatus applied in the system, comes into being an accelerator-characteristics from 0.05HZ to 50HZ by electronics feeding back, enormously decrease affects of super low frequency interference and the linear and dynamic ranges can suffice the actual functions, avoids obviously errors of displacement-type apparatus in low frequencies, acquires satisfied effects.