bluuebunny/crossref_metadata_2025 huggingface dataset:
Touch-Trigger Measurement of Micro-Cavity by Optical Fiber Coupling
Authors: Cui Ji Wen , Song Chuan Xi , Tan Jiu Bin
Published: June 2010

In order to measure the geometric dimension of a micro-cavity, a touch-trigger measurement method is proposed, in which the light coming from the incident optical fiber is transmitted in the reversal direction via the optical fiber coupling into the effluent optical fiber, the lateral displacement of the touch-trigger sensor is transformed into the deflexion of light coming out from the effluent optical fiber, and the deflexion is transformed into an image signal by the object lens and CCD capturing system. The effectiveness of the proposed method is verified by experiments. Experimental results indicate that the proposed method can be used to measure the geometric dimension of a micro-cavity. A blind hole of 1.5 mm deep and about 0.2 mm in diameter is measured with the touch-trigger sensor and self-developed micro-hole diameter measuring machine with a repeatability uncertainty of less than 0.2 m.
Optical Hilbert Diagnostics of the Vortical Structures Induced by the Pressure Front on an Aperture
Authors: Arbuzov Vitaly A. , Dubnishchev Yury N. , Dvornikov Nikolay A. , Nechaev Viktor G.
Published: June 2010

The methods of Hilbert optics widely use in tasks of visualization and measurement of phase optical density in fluids. In this work, the problem of vortex rings generation upon sudden opening of a cylindrical chamber containing a gas at elevated pressure is considered. At diffraction of pressure front on an aperture in a wall the vortical rings propagated in the opposite directions from the wall have been detected by optical Hilbert methods.
Laser Doppler Visualization of 2D Velocity Fields with Minimization Dependence from Multi–Particle Scattering
Authors: Dubnishchev Yury N. , Chuguy Yuri V. , Kompenhans Jürgen
Published: June 2010

The method of laser Doppler visualization and measurement of 2D velocity vector field in flows with minimization of influence of a multi–particle scattering is discussed. The investigated section in the flow is illuminated with a laser sheet. Our approach is based on reception of a pair wise difference of normalized frequency–demodulated images of a laser sheet in light beams scattered in various directions. The 2D velocities field is formed from linear combinations of images of the laser sheet in frequency–demodulated light scattered in directions orthogonal to it.
Trends in Bragg Grating Technology for Optical Fiber Sensor Applications
Authors: Bartelt Hartmut
Published: June 2010

Fiber Bragg gratings have found widespread and successful applications in optical sensor systems, e. g. for temperature, strain or refractive index measurements. Such sensor elements are fiber integrated, are applicable under harsh environmental conditions, and can be easily multiplexed. In order to further extend the field of applications, there is a great interest in specifically adapted Bragg gratings, in Bragg grating structures with increased stability, or in the use of special fiber types for grating inscription. The paper discusses such specific concepts for grating inscription, covers novel aspects of fiber gratings in small diameter fibers or in fiber tapers, of gratings in pure silica fibers without UV sensitivity, of grating inscription in different microstructured fibers or photonic crystal fibers, and investigates the concept of femtosecond inscription and the extension of the Bragg reflection wavelengths down to the visible range.
Comparison of Raman and Fiber Bragg Grating-Based Fiber Sensor Systems for Distributed Temperature Measurements
Authors: Babin Sergey A. , Kuznetsov Alexey G. , Shelemba Ivan S.
Published: June 2010

Two types of distributed fiber sensor systems for temperature measurements have been developed: the first one is multi-point Fiber Bragg Grating based system with interrogation by CW tunable laser and nonlinearity compensation by reference interferometer. The second device is Raman scattering system based on optical time domain reflectometry (OTDR) with a pulsed laser providing spatial resolution of several meters and efficient spectral filtering of the Stokes and anti-Sokes signals by means of WDM couplers. Physical effects important for the systems operation are analyzed and their parameters are compared and optimized for applications in oil-gas industry and turbogenerator temperature monitoring.
Differential Reflectometry of Fiber Bragg Gratings
Authors: Kulchin Yuriy N. , Shalagin Anatoly M. , Vitrik Oleg B. , Babin Sergey A. , Dyshlyuk Anton V. , Vlasov Alexander A.
Published: June 2010

A reflectometric approach is proposed for interrogation of multiple fiber Bragg grating (FBG) sensors recorded in a single fiber optic line, based on the differential registration FBGs’ response to a short probing laser pulse using conventional OTDR. A special optical layout has been developed allowing transformation of FBG’s spectrally modulated signals into intensity modulated signals and at the same time eliminating the susceptibility of the system to light power fluctuations. Threshold sensitivity of the method amounted to ~50 μstrain within the measurement range of ~4000 μstrain. The maximum number of FBGs interrogated by the proposed technique is estimated at several hundred, which by far surpasses the requirements of most practical applications. Due to its simplicity, efficiency and usage of conventional OTDR equipment the proposed FBG interrogation technique can find a wide range of applications, in particular in structural health monitoring.
Polymer Based Micro Sensors Arrays for Ph and Glucose Monitoring
Authors: Korostynska Olga , Arshak Khalil , Arshak Arousian , Gill Edric , Creedon Padraig , Fitzpatrick Shane
Published: June 2010

Novel method of manufacturing micro sensors arrays for biomedical applications using BioForce NanoeNablerTM is reported. The operation of pH and glucose sensing elements is based on the properties of polymers, which exhibit a change in their electrical characteristics (such as resistance or capacitance) on exposure to solutions with different concentrations of pH or glucose. A sensor for glucose was successfully fabricated using the enzyme glucose oxidase immobilized within the polymer poly (o-phenylenediamine). This sensor was then successfully miniaturized utilizing immobilization for a dry process. The concentrations used for the microsensor were between 1 mM and 6 mM. Samples containing different concentrations of glucose were applied to the sensor while the system was being monitored for variances in either current or conductance. The resulting changes in the electrical characteristics of the sensor monitored in real time were found to be proportional to the different concentrations of glucose applied. Microscaled interdigitated electrodes were used for sensors array, with 48 sensors places on one chip. It is envisaged that findings of this work would form the basis for miniaturised point-of-care diagnostic system.
A Study of CFD Models for Investigating the Water Beam Assisted Form Error In-Process Optical Measurement
Authors: Lai Y.H. , Gao Y. , Zhang Y. , Wang J.X.
Published: June 2010

The opaque coolant used in the removal machining processes has an inaccessibility problem for the form error in-process optical measurement. The water beam assisted approach should be one of the possible solutions for the problem. In this project, we propose to study the measurement process using the computational approach for better understanding of the process and for validating the models and settings. The experimental results and the Computational Fluid Dynamics (CFD) results are found close to each other. This gives us confidence in using the proposed CFD models and settings. The proposed new transparent window definition is suitable. The models and settings established include geometric model, mesh adaption model, domain settings, coolant concentration representation, expressions, boundary conditions, and CFX solver settings. The developed CFD models and settings will be useful in our further studies of the form error measurement method.
Research on Tool Condition Monitoring System in Auto-Balancing Machines
Authors: Zhao Ding Ding , Cai Ping
Published: June 2010

A drill set working condition monitoring system is introduced and investigated to improve the performance of auto-balancing machine. The experiment setup to acquire data of armature currents of spindle and servo motors is constructed. The features of the armature currents of both spindle motor and servo motor in time domain, frequency domain and time-frequency domain are extracted respectively, and they are fused separately by two distinct RBF ANNs to get the primary fusing results. The primary results are fused by the third RBF ANN to get a comprehensive result. Experiment results demonstrate that the servo motor current has a closer relation with drill set working condition than that of spindle motor, and two successive fusing operations can achieve more reliable recognition with a correctness up to 86.67%.
In Search for New Paradigm for Humanitarian Measurements: Informational Path between Scylla of Subjectivism and Harybdis of Operationalism
Authors: Petrov Vladimir M.
Published: June 2010

The subjectivity both of researchers (which compile the questionnaires) and experts (which evaluate objects subdued to measurements) penetrates most humanitarian fields. However, trials to introduce objectivity by means of certain ‘rulers,’ usually result in the ‘sin of operationalism’ (P. Bridgman), i.e., strong influence of the ‘rulers’ used. To escape both menaces, it is necessary to change the status both of definition of the phenomenon studied and its empirical indicators: all of them should become the constituents of a certain general model. For most fields, prospective general models can be derived in the framework of the information approach
(G. Golitsyn, S. Maslov). One of such approaches permitting to measure assimilation of any system was proved in sociological and psychological investigations.
Methods to Measure the Extent to which Teachers’ Points of View Influence Creativity and Factors of Creative Personality: A Study with Italian Pupils
Authors: De Caroli Maria Elvira , Licciardello Orazio , Sagone Elisabetta , Castiglione Claudia
Published: June 2010

The aim of the present research was to verify, in a sample of Italian pupils (aged 13-14) and their teachers, whether pupils’ divergent thinking and creative personality were affected by social attitudes expressed by teachers towards thought and creative personality. The Williams’ Test of Creative Thinking and Test of Creative Personality were used to explore creativity and creative personality in pupils; the Williams’ Scale of Assessment of creative performance and rating scales regarding definition and nature of creativity were employed for analyzing teachers’ social attitudes. The results showed that teachers of artistic subjects evaluated pupils as more divergent compared to teachers of foreign languages; teachers of maths and technology, compared to the others, assessed their pupils as less creative in personality. Social attitudes expressed by teachers seemed to affect curiosity and willingness of pupils to take risks. No relationship between social attitudes exhibited by teachers and pupils’ divergent thinking was found. In future research in different school environments and levels of age of pupils will be analyzed to further develop the topics of the present study.
Real Time Eye Gaze Logging in a 3D Game/Simulation World
Authors: Sennersten Charlotte C. , Lindley Craig A.
Published: June 2010

Evaluating the effectiveness of virtual environments as training and analysis systems one must take into account both strongly and weakly defined measures of visual behaviour and associated experience. The investigation of cross correlations between strongly defined measures of logged gaze behaviours, and weakly defined measures of subjective perceptions of visual behaviour, reveals significant discrepancies. The existence of these discrepancies casts doubt upon the effectiveness of using self-reporting questionnaires to assess training effectiveness. However, making participants aware of these discrepancies can be a potentially powerful method for increasing the effectiveness of training using virtual worlds.
Fabrication of Large Grating by Monitoring the Latent Fringe Pattern
Authors: Zeng Li Jiang , Shi Lei , Li Li Feng
Published: June 2010

Contemporary chirped-pulse-amplified high-power laser systems rely on meter-sized diffraction gratings for pulse compression. Fabricating large gratings is a bottle-neck problem. We developed a multiple-holographic-exposure method to fabricate large monolithic gratings. In consecutive exposures, the attitude of the photoresist-coated substrate is monitored and adjusted by using two interferometers with a He-Ne laser, and the relative position between the substrate and the exposure interference fringes is adjusted by using the interference fringes between the diffraction orders of the latent grating with the exposure beams as the incident beams. A mosaic grating with a size of 80×50 mm2 was fabricated, and the wavefront aberration of the 1st-order diffraction wavefront in the mosaic area is better than /10 PV @633 nm.
Theatrical Life and Socially-Political Climate of Russian Society: Measurement of Evolution Intensity
Authors: Kovalenko Timofey V.
Published: June 2010

Theatrical Life and Socially-Political Climate of Russian Society: Measurement of Evolution Intensity
In limits of theoretically-informational approach to the occurrence of culture and art, the intensity of theatrical life is scrutinizing as degree of tension of its dynamics, which flows from quantitative estimation of the cultural public mean’s role, their investment in formation and development of art of its aspects and genres and importance of events in different periods of time. Appearance of various creative innovations in theatrical life is conditioning by the level of its intensity.
Device for Manufacturing Torsion Bars with Helical Anisotropy UISAT-1
Authors: Kopytenko Yuri A. , Sergushin Pavel A. , Petrishchev Maksim S. , Levanenko Valery А. , Perechesova Anna D.
Published: June 2010

The article describes the device for manufacturing torsion bars with helical anisotropy, performed as a braid made of Kevlar filaments (fibers). Physical and kinematic configurations are demonstrated, operation concept of the device is described. Characteristics of produced torsion bars are discussed.
Computed Tomography for Application in Manufacturing Metrology
Authors: Weckenmann Albert , Krämer Philipp
Published: June 2010

As a rather new technology, X-Ray Computed Tomography offers new and promising possibilities in manufacturing metrology in comparison to well-established tactile or optical measurements. The main benefit is the volumetric model which results of each measurement and represents the measurement object holistically with high point density.
Dynamic Pressure Calibration of Pressure Sensors Using Liquid Step Pressure Generator
Authors: Wang Sheng Hung , Han Lee Long , Tsung Tsing Tshih
Published: June 2010

. This study presents the dynamic calibration of pressure sensors using a developed liquid step wave generator. This approach is sufficient to display the transient response of pressure sensors in the time and frequency domains and it depends on the performance of pressure generators. In this study, the liquid step wave generator was developed via a reformed spool valve generating a liquid step wave with a short rise time that current generators have not achieved so far. A small sensing cavity, where maintains the liquid step wave, and a contact seal were adopted herein to limit the pressure transient of the fluid in the generator, such that the rise time and the bandwidth of the liquid step wave can reach 30.0 µs and 10.4 kHz. The experimental results not only display the performance of the liquid step wave generator, but also reveal the dynamic characteristics of three different test pressure sensors using the developed liquid step wave generator.
Non-Contact Geometry Inspection of Workpieces with Optically Non-Cooperative Surfaces
Authors: Bach Friedrich Wilhelm , Möhwald Kai , Nicolaus Martin , Reithmeier Eduard , Kästner Markus , Abo-Namous Omar
Published: June 2010

In order to produce optically cooperative surfaces to use triangulation measuring systems, the methods of surface and thin-coating technology are resorted to. Among these number physical methods such as PVD technology, (electro-)chemical treatment as, for example, electrochemical etching and electroless coatings as well as mechanical treatments of the components by means of glass-bead and corundum blasting. The processes mentioned are suitable for producing optically cooperative surfaces since, owing to the corresponding test parameters, a change of the component's surface occurs at the sub-micrometer scale. Currently, no indication in the literature is provided that such processes are employed for manufacturing optically cooperative surfaces vis-à-vis triangulation methods.
Modified DLC-Coated Guide Pads for BTA Deep Hole Drilling Tools
Authors: Biermann Dirk , Kessler Nadine , Upmeier Thorsten , Stucky Thomas
Published: June 2010

The BTA (Boring and Trepanning Association) deep hole drilling process is commonly used to machine boreholes with a large drilling depth-to-diameter ratio (l/D) and outstanding workpiece quality. The asymmetric tool design leads to a nonzero radial component of the cutting force and the passive force, which are conducted to the borehole wall by so-called guide pads. These guide pads smooth the borehole wall by a forming process and improve the surface quality. Processes, that machine materials with a high adhesion tendency, such as high alloy stainless steel, suffer from poor surface quality in the borehole and the adhesion from the workpiece material on the guide pads. In this paper modified Diamond-Like-Carbon (DLC) coated guide pads for BTA deep hole drilling tools are investigated. The scope of the experiments was the reduction of the adhesion by reducing the friction coefficient of the guide pads, as well as the improvement of the quality of the borehole wall.
Robust Hash for Detecting and Localizing Image Tampering
Authors: Cui De Long , Liu Yong Fu , Zuo Jing Long
Published: June 2010

In order to improve the sensitive to illegal manipulations of image hashing, a novel robust image hashing algorithm based on fractional Fourier transform (FRFT) for detecting and localizing image tampering is proposed in this paper. The framework of generating an image hashing includes three steps: preprocessing, feature extracting and post processing. The robust hashing sequence is obtained by FRFT coefficients of image blocks. The security of proposed algorithm is totally depended on the orders of FRFT which are saved as secret keys. Experimental results show that the proposed scheme is robust against perceptually acceptable modifications to the image such as JPEG compression, mid-filtering, and rotation, more importantly the tampered place can be identified accurately.
The Study on Partners Relationship for Virtual Enterprises Risk Management Based on Distributed Decision
Authors: Wang Neng
Published: June 2010

To reduce risks of Virtual Enterprise （VE）, a novel Distributed Decision Making （DDM） model for VE risk management was presented. This model had two levels, namely, the top-model and the base-model, which described the decision processes of the owner and the partners, respectively. The owner allocated funds to each member of the VE, the partners then selected their own optimal risk control actions to reduce their risks with the constraint given by the allocated budget. When number of members in VE, the number of risk factors and the number of actions increased, the size of the search space would be very huge, the brief solutions of the models are also discussed.
Denoising Vibration Signals of Food Refrigerant Air Compressor Based on Wavelet Transform
Authors: Gong Yan Jue , Fu Zhao , Xiang Hui Yu , Zhang Li , Meng Chun Ling
Published: June 2010

On the basis of wavelet denoising and its better time-frequency characteristic, this paper presents an effective vibration signal denoising method for food refrigerant air compressor. The solution of eliminating strong noise is investigated with the combination of soft threshold and exponential lipschitza. The good denoising results show that the presented method is effective for improving the signal noise ratio and builds the good foundation for further extraction of the vibration signals.
The Fuzzy Evaluation of Power Listed Companies’ Credit Risk Based on Entropy Weight
Authors: Wang Xi Ping , Yan Li Ying
Published: June 2010

An entropy fuzzy matter-element model is combined, based on the establishment of credit risk evaluation index system of the power listed companies. The model uses entropy weight method to determine the weight of evaluation index, which has strong objectivity. The calculation results show that this model is scientific and practical.
The Application of Rough Set Technique for Missing Data
Authors: Li Bo , Zhang Er Liang
Published: June 2010

In this paper, a missing data classification algorithms based on rough technique is proposed, and the complexity of the algorithms is analyzed, finally a missing data classification experiment with a typical dataset is conducted. The result of experimentation shows the algorithms not only can effectively improve the accuracy and efficiency of classification while enormously reducing the number of attributes, but also have the good performance on noises control.
The Application of Evolutionary Algorithm to Image Fusion
Authors: Zhu Geng Ming
Published: June 2010

This paper presents a novel evolutionary algorithm to image fusion. An original image is divided into blocks with fixed size. According to the idea of the evolutionary algorithm, the image is analyzed using fractal dimension to attain its feature blocks containing edges and textures that are used in the later embedding process and used to form a feature label. The evolutionary algorithm that is the fusion of the feature label and a binary copyright symbol not only represents the copyright symbol, but also reflects the feature of the image. The evolutionary algorithm that is adaptive to the individual image is embedded into the relations between middle-frequency coefficients and corresponding DC coefficients. Experimental results show that this evolutionary algorithm can get good perceptual invisibility, adaptability and security.
The Building of Education Information System Based on Semantic Service
Authors: Zhou Hong
Published: June 2010

With the rapid development of distance continuing education in China, there is a need to integrate the education information systems in different regions to offer a unified information management to eliminate the problems of the information scattering, information isolation, and information isolated islands for distance education. A new information frame based on SOA technology in software engineering was proposed to fulfill the requirement of contemporary distance education.
The Research of Bivariate Pseudoframes of Subspace Based on a Pyramid Decomposition Scheme
Authors: An Zong Ling , Niu Yong Mei
Published: June 2010

The notion of a generalized multiresolution structure and the concept of subspace bivariate affine pseudoframes are introduced. The pyramid decomposition scheme of a generalized
multiresolution structure(GMRS) is established, which is generalization of Mallat's pyramid algorit-
-hm. A necessary and sufficient condition for the existence of the pyramid decomposition scheme
of space is presented. Moreover, affine bivariate pseudoframe expansions of are constructed by virtue of the pyramid decomposition scheme.
Statistical Properties of the Unsymmetrical P-Norm Distribution
Authors: Xiong Pan , Yuan Shuan Li , Cheng Shao Jie
Published: June 2010

The distribution of observation errors is determined according to their magnitudes by using the distribution collocation test method or figure method taking into account the result, sample total, the interval density etc. It is therefore difficult to get the specific type of error distribution of observations by conventional methods. In analyzing the actual situation of the observation error distribution using their statistical properties, this paper proposes the use of unsymmetrical distribution to express the true distribution of the observation errors. The P-norm distribution is a generalized form of a group of error distributions, and from the statistical properties of random errors we can arrive at an unsymmetrical P-norm distribution according to the practical situation of the occurrence of random errors. The common P-norm distribution is the specific case of this distribution. This paper deduces the density function equation of the unsymmetrical P-norm distribution, obtained the statistical properties of the distribution function and the evaluation of precision index. By choosing appropriate value for p, we can get closer to the distribution function of the true error distribution.
Optimal Design for Fuzzy Controller by Ant Colony Algorithm
Authors: Zhao Bao Jiang
Published: June 2010

Fuzzy logical controller is one of the most important applications of fuzzy-rule-based system that models the human decision processing with a collection of fuzzy rules. In this paper, an adaptive ant colony algorithm is proposed based on dynamically adjusting the strategy of selection of the paths and the strategy of the trail information updating. The algorithm is used to design a fuzzy logical controller automatically for real-time control of an inverted pendulum. In order to avoid the combinatorial explosion of fuzzy rules due to multivariable inputs, state variable synthesis scheme is employed to reduce the number of fuzzy rules greatly. Experimental results show that the designed controller can control actual inverted pendulum successfully.
Two Vanishing Points Error Estimation Based on Line Clustering and Condition Adjustment with Parameters
Authors: Li Chang , Yang Ling , Hu Min , Liu Peng Cheng
Published: June 2010

In close-range digital photogrammetry and computer vision, a major challenge is the automation of 3D reconstruction from 2D-images. And single image calibration is a fundamental task in these areas for research. It is known that camera parameters can be recovered by the vanishing points of three orthogonal directions. However, three reliable and well-distributed vanishing points are not always available. Therefore, how to estimate the error of two vanishing points is very significant for us to analyze the precision of camera calibration. New methods for vanishing point detection and error estimation are presented, which can be illustrated as follows. Firstly, the line clustering, which parallel to object lines and correspond to the vanishing points, are detected based on RANSAC (Random Sample Consensus). Secondly, "condition adjustment with parameters" is utilized to estimate a nonlinear error equation. Thirdly, the error of vanishing point is expressed by error ellipse that is derived by co-factor matrix according to adjustment principle. Finally, experimental results of vanishing points coordinates and their errors are shown and analyzed.
A Self-Learning Evolutionary Multi-Agent System for Distribution Network Reconfiguration
Authors: Sun Hong Bin , Ding Yong Sheng
Published: June 2010

The paper proposes a self-learning evolutionary multi-agent system for distribution network reconfiguration. The network reconfiguration is modeled as a multi-objective combinational optimization. An autonomous agent-entity cognizes the physical aspects as operational states of the local substation, the agent-entities establish relationship network based on the interactions to provide service. Multiple objectives are considered for load balancing among the feeders, minimum deviation of the nodes voltage, minimize the power loss and branch current constraint violation. These objectives are modeled with fuzzy sets to evaluate their imprecise nature and one can provide the anticipated value of each objective. The method completes the network reconfiguration based on the negotiation of autonomous agent-entities. Simulation results demonstrated that the proposed method is effective in improving performance.
Study on Internet Direct Marketing for Luxuries in China
Authors: Zhang Qing Hua
Published: June 2010

Luxury consumption in China has seen a rapid development over recent years. From the eyes of luxury suppliers, China is a huge market with the highest potential which is not yet fully opened. Considering the market environment in China and comparing with method in developing the traditional physical stores, suppliers will tend to choose internet direct marketing as means when developing new market, which will be an excellent supplement or even a replacement in this concept. The paper make an introduction of luxury, then analyze the possible problems of internet direct marketing for luxuries under existing domestic environment and bring forward the countermeasure to deal with them. The paper is helpful for the development of luxury market in China. With the situation in China fully considered, most of the conclusions are useful and practical.
Stiffness Study of Swing Chainon Heavy Duty Deflection Angle Milling Head
Authors: Cai Li Gang , Dong Xiang Min , Liu Zhi Feng , Guo Tie Neng
Published: June 2010

Heavy duty deflection angle milling head is the core functional unit of heavy-duty gantry CNC machine tools. Stiffness of swing chain system is one of the important factors that determines accuracy of heavy duty deflection angle milling head. In order to improve dynamic performance and mechanical precision, the gear pair and support system of the swing chain are studied in the paper. Based on the deformation compatibility condition and the superposition theorem, the torsional deformation and stiffness of each part are analyzed, and considered the deformation of workpieces and supporting system and the interaction of them. The vulnerable segment is found out in the paper, which is valuable to amend and improve the design of milling head. At last, the curves of the relation between the swing chain stiffness and the gear parameters and bearing preload are charted, which provide the theory and technical support for digital design, optimization of the milling head and the basis for the similar driving system stiffness calculation.
Research on Virtual-Switch Characteristics of Noise-Enhanced Stochastic Resonance Using Leaky Integrate-and-Fire Model
Authors: Hui Guo Hua
Published: June 2010

Virtual-switch characteristics of noise-induced stochastic resonance using leaky integrate-and-fire (LIF) model was focused in this article. For LIF neuron model, Gaussian white noise was added to the simulating system. The condition of spike-starting was studied through the system. With the increase of noise intensity, the stimulated spikes became more and more intensive. With proper white noise intensity, the amount of excitatory spikes was enough to generate spike trains. We expected to design a virtual-switch utilizing this mechanism for neural data processing field.
Deciding the ALCNIR+-Satisfiability with a Fully Tiered Clause
Authors: Gu Hua Mao , Shi Jin Qin , Zhu Xia Jun
Published: June 2010

In contrast with Tableau algorithm, this paper presented a totally new approach to check the satisfiabilities of acyclic ALCNIR+-concepts―FTC algorithm. This calculus can make a direct judgment on the satisfiability of an acyclic ALCNIR+-concept by translating its description into a fully tiered clause whose satisfiability is directly available. FTC algorithm eliminates description overlaps to largest extent as it works on concept description directly. Therefore, FTC algorithm has notably better performance than Tableaux by saving a lot of spatial costs.
Mechanical Behaviors of Multi-Layered Metal Diaphragm of Valve
Authors: Yu Shao Rong , Xu Bing , Wang Jun
Published: June 2010

The design of a external sealing structures is of much importance for the miniaturization design of valve. The metal diaphragm structure is the main component of the external sealing structure. So the mechanical behaviors of the metal diaphragm are significantly necessary to be determined for the valve design. This paper, by numerical simulations, studies the mechanical behaviors of the diaphragm, including: i) the stresses and deformations of a three-layered metal diaphragm under the loads of axial force and high pressure, and ii) the effects of the diaphragm layer number on the axial force and the maximum equivalent stress under effective external sealing. These results provide guidelines for design and application of the valve and its diaphragm.
Study on Coupling Coefficient and Fabrication of a Kind of Symmetric Twin-Core Silica Fiber
Authors: Peng Jian , Liu Li Song , Yao Lei , Jian Shui Sheng
Published: June 2010

The coupling coefficient of twin-core fiber is discussed with coupled-mode theory in this paper. It shows that the coupling coefficient is related with the pump wavelength, the core diameter, the distance between the centers of the two cores and the relative refractive index difference. And the parameters of the twin-core fibers can be optimized to satisfy different requirements. Using the theory, the twin-core fibers are fabricated by an improved method. The measurement results have an obvious progress than previous work.
Investigation of Damage Effect by Shock Wave on Structures in Excavation Roadway
Authors: Qu Zhi Ming
Published: June 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.
Discussion and Reference of CDIO Theory in the Laboratory Planning and Management
Authors: Yu Xue Dou
Published: June 2010

In the paper we adopted CDIO as the guiding ideology, analyzed the shortcomings in laboratory and equipment management and the relevant causes, and then proposed an effective solution which combined with laboratory and equipment management-related standards in CDIO and current actual situation of experiment teaching and the protruding problems in laboratory management.
The Study on Indexing Techniques in Data Warehouse
Authors: Chen Li
Published: June 2010

Nowadays, data warehouse has already become the hot spot in database studies. Indexes can potentially speed up a variety of operations in a data warehouse. In this paper, we present several relatively mature index techniques in data warehouse. Then, we give a comparison between them on performance evaluations. This paper focuses on the performance evaluation of three data warehouse queries with three different indexing techniques and to observe the impact of variable size data with respect to time and space complexity.
Position and Attitude Information Fusion for Portable Unmanned Aerial Vehicles
Authors: Rao Jin Jun , Gao Tong Yue , Jiang Zhen , Gong Zhen Bang
Published: June 2010

Portable Unmanned Aerial Vehicles (PUAVs) present an enormous application potential, and the real time accurate position and attitude information is the basis of autonomous flight of PUAVs. In order to obtain comprehensive and accurate position and attitude data of PUAVs in flight, focusing on the common sensors configuration of PUAVs, each type of sensor’s characteristic is analyzed, and the data fusion problem of SINS/GPS/Compass combination is presented and studied in this paper. Firstly, the error expressions of MEMS inertia sensors, attitude, velocity and position are researched and derived, and the state equation and observation equation are built, and the discrete equations are derived for computer implementation, so the data fusion model for Kalman Filter fusion algorithms is presented. Then, the data fusion system and algorithms are implemented in software, and the flight data obtained in flight experiment is fed to the software for data fusion. The comparison between original data and fusional data shows that SINS/GPS/Compass data fusion system can promote accuracy of position and attitude markedly.
Research on the Supply and Demand Status of Highly Skilled Talents in China Based on Cubic Function Model
Authors: Wei Jin Yu , Sun Ai Fen , Wang Hui
Published: June 2010

With the continuous progress and innovation of science and technology, as well as the optimization and upgrading of industrial structure, professional and high skilled personnel demand becomes more and more. But there is a large gap between the supply and demand of high skilled talents. The serious shortage of skilled talents will be the bottleneck to sustainable development of social and economic. Using the method of quadratic functions model and cubic functions model, the supply and demand of the skilled personnel are analyzed quantitatively and the future trend of supply and demand of highly skilled talents are forecasted, in order to find out the supply shortfall of it.
Semi-Supervised Classification with Co-Training for Deep Web
Authors: Fang Wei , Cui Zhi Ming
Published: June 2010

The main problems in Web Pages classification are lack of labeled data, as well as the cost of labeling the unlabeled data. In this paper we discuss the application of semi-supervised machine learning method co-training on classification of Deep Web query interfaces to boost the performance of a classifier. Then, Bayes and Maxim Entropy algorithm are co-operated to incorporate labeled data with unlabeled data in training process incrementally. Our experiment results show the novel approach has a promising performance.
Research and Implementation of Remote Sensing Image Vectorization
Authors: Wu Hai Yan
Published: June 2010

Remote sensing image vectorization; edge enhancement; boundary tracking;
Abstract. This paper researched and implemented remote sensing image vectorization process using semi-automated way. Remote sensing image can be vectored as the following five steps:vertical and horizontal edge enhancement, open operation, close operation, binarization, and finally the boundary tracking. The paper presented an improved tracking algorithm to avoid the shortcomings of traditional edge tracking algorithm. In our tracking algorithm, for image maps, we first use open operation and then use close operation to remove noise.This vectorization method changed the traditional data collection mode and improved data collection efficiency.
An Effective Genetic Algorithm for the Vehicle Routing Problem with Time Windows
Authors: Liu Chang Shi , Huang Fu Hua
Published: June 2010

The vehicel routing problem with time windows (VRPTW) was considered in this paper, and a genetic algorithm (GA) for the proposed problem was designed to minimize total travel distance. Finally we tested the proposed approach with Solomon’s test set, the experimental results show that the proposed GA is very effective compared with other approaches pulished recently.
A Note in Artificial Intelligence
Authors: Zhao Jie Min
Published: June 2010

An instability result of a problem in artificial intelligence is given by means of the analysis and computing method.
A Result of Information Signal
Authors: Zhao Jie Min
Published: June 2010

A periodicity result of information signal is given by Liapunov’s second method.
A Hybrid Differential Evolution Algorithm for Solving Function Optimization
Authors: Zhou Zhi Gang
Published: June 2010

One of the key points resulting in the success of differential evolution (DE) is its mechanism of different mutation strategies for generating mutant vectors. In this paper, we also present a novel mutation strategy inspired by the velocity updating scheme of particle swarm optimization (PSO). The proposed approach is called HDE, which conducts the mutation strategy on the global best vector for each generation. Experimental studies on 8 well-known benchmark functions show that HDE outperforms other three compared DE algorithms in most test cases.
Flood Forecasting Research Based on the Chaotic BP Neural Network Model
Authors: Zhu Chang Jun , Wu Li Ping , Li Sha
Published: June 2010

In view of the problem that the predictive results of flow quantity are not ideal for the predictive models at present. Based on the chaos identification to the flood system, chaos BP neural network model are developed combined chaos theory and BP neural netwok, flood sequences are disposed by phase-space reconstruction to be as training sample. Network structure can be determined by Matlab toolbox. The established chaos BP model is used to predict the phenomenon of peak value for Huayuankou hydrometric station in 2006. The results show that the predictive model combined chaos theory and BP neural network, has certain reference value to improve flood forecasting accuracy as a new attempt.
Study of Breathing Phenomenon in H Bridge Converter
Authors: Jiang Wei , Zhou Yu Fei , Chen Jun Ning , Hu Wen Long
Published: June 2010

This paper analysis the work principle of peak current mode H bridge converter. It can observe the system exhibits a kind of special nonlinear phenomenon: breathing phenomenon. When the disturbance signal frequency is not different with the switching frequency and there is a certain degree of disturbance signal intensity, it will produce breathing phenomenon through the modeling and numerical simulation to the system. We can know the theoretical analysis is same with the numerical simulation. At last, it discusses the change of circuit parameters Iref, E, L / T to impact degree of disturbance signal intensity to generate breathing. It can provide theoretical basis for stability design of H bridge converter.
Image Deblurring Algorithm for Overlap-Blurred Image
Authors: Sun Shao Jie , Wu Qiong , Li Guo Hui
Published: June 2010

Overlap-blur is caused by the relative movement of high speed between the camera and the object during the exposure process, which is one of the most common phenomenons of image degradation during the criminal detection forensics work. Based on the analysis of the overlap-blurred image’s characteristic, a coded-shutter model is proposed to approximate the nature of overlap-blur. As the first attempt, using the coded-shutter model, an image deblurring algorithm is designed for the restoration of the overlap-blurred images. The experiment results show the validity and rationality of the coded-shutter model for deblurring the overlap-blurred images. When tested on the real overlap-blurred photographs, the proposed algorithm can restore the information of interest in the blurred images better, which demonstrates the higher practical value of the algorithm.
Application of Variation Coefficient Method and TOPSIS Model on Urban Environmental Quality Assessment
Authors: Zhang Jin Hui , Shi Xiu Fen
Published: June 2010

Urban environmental quality assessment is an important part of urbanization, it is also an important basis for establishing environmental protection policies and improving the quality of the environment. This paper has established a integrative index system for urban environment quality evaluation, it takes four cities for example, and uses variation coefficient method to give each index an objective weight, then it uses TOPSIS model to evaluate their environmental quality. This model calculates the corresponding close-degrees between these citis and the ideal point, and arrays them according to the corresponding close-degrees. A case study proves the reliability and practicality of this model, it provides a strong support and basis for China's urban environmental quality evaluation.
Study of Supply Chain Applications Integration Platform Based on Coordinated Decision Centra
Authors: Wang Guo Zheng , Wu Hai Yan
Published: June 2010

This paper described two kinds types of enterprise application integration based on coordinated decision centra:within the enterprise application and inter-enterprise enterprises application integration. To implement these two kinds of application system integration, the framework and the main functions of the integration platform for e-commerce environment was presented in the paper, the integration techniques by CORBA encapsulating within the enterprise and the data exchange techniques using XML between enterprises were proposed. With this supply chain application integration platform, the main business processes for supply chain management and other enterprise applications can be integrated selflessly through suitable procedures to apply supply chain integrative management in multiple enterprises.
A Method for Ontology Module Selection
Authors: Zhu Hong Mei , Liang Yong Quan , Tian Qi Jia , Ji Shu Juan
Published: June 2010

The central idea of ontology engineering in semantic Web is extensive reuse of existing ontology. Ontology selection mechanism should offer support for modularization and automatic knowledge reuse. Because the chance of finding a completely covering ontology is extremely low, the present ontology selection mechanism frequently returns a collection of ontology that jointly cover the query vocabulary and the returned ontology should be extracted and combined. The efficiency of most existing ontology extraction algorithm and the decomposition algorithm is low when they try to get a suitable ontology module from a large ontology at run time. In order to solve this problem, this paper proposed a kind of ontology module selection method without the use of top ontology: Decomposes the big ontology into ontology modules in advance, inquires and chooses the corresponding ontology modules from the ontology module base in application stage, applies or composes the selected ontology modules in the next step. In this paper, relevant concepts and criterions of ontology modules selection are studied, including basic notions and conventions. Method of ontology module selection is described. Candidate ontology module identification and evaluation method are introduced; preliminary experimental results and the corresponding analysis are shown at the last section.
Experiment Study on Shearing Property of Soil-Concrete Interface with Improved Simple Shear Apparatus
Authors: Song Xin Jiang , Wang Wei
Published: June 2010

Soil saturation degree plays an important role in mechanic behavior of soil-concrete interface. Laboratory experiments are conducted on soil-concrete interfaces by using improved simple shear apparatus, where three soil saturation degrees and five normal stresses are taken into accounted, respectively. The experiment data show that failure of the interface still satisfies the Mohr-Coulomb criterion under fixed soil saturation degree. With higher soil saturation degree, both shear strength and friction angle of the interface decrease monotonously, but cohesion force of the interface first increases and then decreases after reaching a peak value. When soil saturation degree increases, failure position of the interface moves from concrete surface to soil inner part.
Solving Method of Contact Area for Logarithmic Spiral Bevel Gear
Authors: Li Qiang , Wen He , Yan Hong Bo
Published: June 2010

Introduces the solution method of logarithmic spiral bevel gear contact area, based on the logarithmic spiral bevel gear model divides any tooth, acquiring coordinate values, and then on the basis of Hertz contact theory, combined with elliptic functions, we found the solution method of a logarithmic spiral bevel gear contact area, and make judgment and shearing on the border of the contact area, which lays the foundation of solving the location, size and shape of the contact area on logarithmic spiral bevel gear.