bluuebunny/crossref_metadata_2025 huggingface dataset:
Ab Initio Study of Pressure-Induced Structural Properties of Uranium Chalcogenides
Authors: Singh Archana , Aynyas Mahendra , Sanyal S.P.
Published: October 2014

We report a first principles calculation of pressure-induced structural phase transition properties of uranium chalcogenides (UX; X=S, Se and Te). The total energies as a function of volume are obtained by means of self-consistent tight binding linear muffin orbital method (TB-LMTO) by performing spin and non-spin polarized calculations to determine the magnetic and structural stabilities. From the present study, we predict a magnetic phase transition from ferromagnetic (FM) to non-magnetic (NM) state around 67.7 and 10.2 GPa for US and USe, respectively. The pressure-induced magnetic transitions are found second-order in nature. We have also predicted structural phase transition from FM-NaCl-type (B1phase) structure to NM-CsCl-type (B2phase) structure at around 77.5, 23.5 for US and USe, respectively, while UTe undergoes from FM-B1to FM-B2phase around 12.0 GPa.
Pressure Induced Phase Transition and Elastic Properties of Alkaline Earth Mono-Sulphide
Authors: Arya Balwant Singh , Aynyas Mahendra , Ahirwar Ashok K. , Sanyal Sankar P.
Published: October 2014

The structural and elastic properties of some alkaline earth mono-sulphide (AES: AE = Ca, Ba, Sr) under pressure have been investigated using a two body inter ionic potential approach with modified ionic charge (Zme). The phase transition pressures 39.9 GPa, 17.1 GPa, and 7.2GPa along with volume collapses 6%, 8.5% and 10.8% for CaS, SrS and BaS obtained by this approach, respectively and compared them with experimental measured data reveal good agreement. We have also calculated bulk modulus, pressure derivatives, second order (C11, C12& C44) and third order elastic constants (C111, C112, C123etc.) in NaCl (B1) phase which show predominantly ionic nature of these compounds.Keywords: High pressure behavior, equation of state, structural phase transition, second order elastic constants, third order elastic constants.
Structural, Electronic, Elastic and Mechanical Properties of ScNi, ScPd and ScPt: A FP-LAPW Study
Authors: Fatima Bushra , Chouhan Sunil Singh , Acharya Nikita , Sanyal S.P.
Published: October 2014

Systematic first principles calculations have been carried out to study the structural, electronic, elastic and mechanical properties of ScNi, ScPd and ScPt using FP-LAPW method within GGA. The ground state properties such as lattice constant, bulk modulus and first order pressure derivates of bulk modulus, were evaluated. The electronic and bonding patterns of these compounds have been analysed quantitatively from band structure and Fermi surfaces. It is clear from band structures that these compounds are metallic in nature. Ductility for these compounds is analysed by using Pugh’s criteria, Cauchy pressure (C12–C44) and Frantsevich rule. Amongst all these Sc compounds, ScNi is found to be most ductile due to the presence of strong metallic bonding.
Structural Properties of CaS1-xSex Mixed Crystal under High Pressure
Authors: Singh Anita , Sharma Ekta , Sakalle Umesh Kumar
Published: October 2014

The mixed ionic crystals are formed by the mixing of pure components and are truly crystalline and their lattice constants change linearly with concentration from one pure member to another. The present work is intended to investigate structural properties of CaS1-xSexunder high pressure. The structural properties of mixed compound CaS1-xSex(0≤x≤1) under high pressures have been evaluated using three body potential model (TBPM). This interaction potential has been calculated by using three model parameters. For this mixed compound, the experimental data has been generated by the application of Vegard’s law to experimental values available for pure end-point members.The Structure of CaS and CaSe has been Rock Salt (B1) at ambient pressure and with increasing pressure Rock Salt (B1) structure undergo a transition in Cesium Chloride (B2) at 40GPa and 38 GPa respectively and CaS1-xSexunder goes Rock Salt to Cesium Chloride (B1→B2) structure. The difference in phase transition pressure in end-point members is low. In the present work we have investigated structural properties at high pressure for five different concentration x (x=0, 0.25, 0.50, 0.75, 1) for CaS1-xSex. Phase transition pressure and relative volume collapse at different phase transition pressure for different values of x has been calculated. Predicted phase transition pressure and relative volume collapse are found in good agreement with experimental and other theoretical data. Linear variation of phase transition pressure and lattice constant of different composition show that Vegard’s law is valid for this alloy. We have evaluated the phase transition pressure from graphical analysis where the Gibb’s free energy difference ΔG [G(B1)-G(B2)] have been plotted against pressure (P) for CaS1-xSexfor different concentration x. The pressure at which ΔG approaches zero corresponds to phase –transition pressure (Pt). The relative volume changes, ΔV(Pt)/V(0), associated with the above mentioned compression have also been computed and plotted against pressure to get the phase diagram for CaS1-xSexin different concentration.
Synthesis & Study of Properties of Doped ZnO Pellets for Gas Sensing Application
Authors: Patil Swapnilkumar S. , Jha Prafulla K.
Published: October 2014

The ZnO and ZnO: Cu Pellets are fabricated by using the Co-Precipitation technique. The effect of different concentration of doping agent on the optical, structural and surface morphological properties of ZnO Pellets were investigated as a function of Cu concentration from 0 to 30 at % in this paper. The spectrophotometric properties of the pellets were carried out for the absorbance and transmittance. The pellets showed absorbance ranging from 0.1-3.0 in UV-VIS regions. The maximum percentage transmittance is 90% within the same region. As the concentration of dopant increases, the pellets become more brittle and the band gap decreases. The XRD pattern reveals the polycrystalline nature of the powder and it is also found that, the lattice spacing is changed with Cu doping in ZnO. This is purely due to distortion of lattice owing to the strain induced by the Cu doping. SEM studies show that, as concentration of copper increases, the porous morphology is vanished giving more dense structure.
A New Design of the Controller IC Card Settlement Tanker
Authors: Xu Kun Liang , Lv Hao
Published: October 2014

This paper realized the design of the controller is controlled byan IC card refueling and settlement, just the controller can be installed on an existing tanker achieve control, while refuelingrecords and some configuration information can be stored in the local memory .For the transformation of gas station, don’t need to replace the expensive refueling machine, only need to add an IC card controller based on the existing filling machine, thereby greatly reducing the cost of upgrading the gas station, but also laying the foundation of the next step of information upgrade for gas station.
Design Forelectronic Control System of Charged Robot Maintenance Manipulator
Authors: Zhang Dan Dan , Wu Xiao Qiang
Published: October 2014

In this paper, the maintenance manipulator of charged robot is discussed as the main research object. It analyzes the characteristics of the main structure and movement form of the charged robot maintenance manipulator. The analysis of working process and control requirements is made for manipulator. A control system which uses the Siemens S7-200 as the core, is designed to achieve the remote operation and control of manipulator. This article discusses the components of the system and how the electronic control system achievesthe control of each joint with PLC controller as the core.
A Study of New Deployable Structure
Authors: Song Yi Jie , Ho Chi On , Qing Zi Fei
Published: October 2014

Deployable structures are new prefabricated frames that can be transformed from a closed stage or compact configuration to a predetermined, stable expanded form. The structure is very convenient for transportation and recycling because it can be stretched out, drawn back and disassembled into pieces easily. This paper describes a new deployable structure composed of scissor composite members, each of which consists of universal scissor components, connected by bolts, and braced by pre-tensioned ropes out-of-plane, conforming a stable system. An aluminum-alloy deployable model was fabricated and a test program was carried out under vertical load to evaluate the capacity of the structure. Numerical analysis using FEM was conducted for validation purpose. By studying the stability and capacity of the structure, comprehensive evaluations of the structure were made. Possessing several advantages stated in this paper, deployable structures can be used as semi-permanent and temporary large spatial buildings.
Dense Nanorods for Enhanced Sensing of Complex Mixed Solution
Authors: Gu Qiong Chan , Jiang Xiao Xiao , Lv Jiang Tao , Si Guang Yuan
Published: October 2014

We show wafer-scale nanorods fabrication using interference lithography and ion milling techniques. Both one-dimensional (1D) and two-dimensional (2D) nanogratings are achieved. Complementary structures of nanorods and nanoholes are demonstrated with tunable and enhanced optical responses. By combining such nanostructures with attenuated total reflection (ATR) components, we show significantly enhanced absorbance measurements. The results shown in this paper may enable new opportunities for plasmon-assisted sensing and spectroscopy.
Research on Iron-Containing Magnetic Ionic Liquids in Extraction-Deash of Coal Direct Liquefaction Residues Using Ultrasonic Oscillation
Authors: Zhao Bo , Cao Fa Hai
Published: October 2014

Coal direct liquefaction residues (CDLR) are derived from coal direct liquefaction process, with the yield about 30% of raw coal. CDLR must be used effectively for the purpose of whole economy, resource utilization and environmental protection. In order to separate the liquid components from ash in CDLR, three kinds of iron-containing magnetic ionic liquids ([bmim]FeCl4, [bPy]FeCl4, [bmP]FeCl4) were synthesized, extraction-deash of CDLR was exprimented, and extracts from CDLR were characterized. According to the quantitative analysis and infrared spectroscopy (IR), results showed that [bmim]FeCl4 was an effective solvent in extraction-deash of CDLR using ultrasonic oscillation instead of traditional mixing methods, compared with [bPy]FeCl4 and [bmP]FeCl4. Extract by [bmim]FeCl4 had ash ratio of 1.0%, while ash ratio of CDLR was 17.3%, which met the requirement of low ash content. At last, extraction-deash mechanism was discussed to further understand the research.
The Simulation Research of Synchronization Control Based on the Virtual Shaft Control and the Relative Coupling Control
Authors: Shi Huan Huan , Wu Xiao , Hua Liang , Ji Hong Gang
Published: October 2014

Although the traditional synchronous control system for the virtual shaft has met the accuracy requirements of most products, it still can not fully meet the requirements, for the high precision, high synchronization control. This article proposed multi-motor synchronous control strategy based on the relative coupling control combined with virtual main spindle control, and built simulation platform by Matlab/Simulink and simulated the strategy. The simulation result shows that the synchronous control strategy mentioned in this article can overcome synchronization error brought by external disturbance and parameter variation. Moreover, it will better achieve the multi-motor synchronous control compared with the traditional virtual shaft synchronization scheme
Reconfigurable Technology in the Application of Virtual Instrument
Authors: Hu Wei Wei
Published: October 2014

In this paper,the main study is virtual instrument experimental systems based on reconfigurable computing technology. The system is divided into a computer, the master FPGA,reconfigurable FPGA,and instrumentation port drivers,adopting dynamic and static combination mode,the master FPGA chooses a different download programs to achieve the reconfiguration of slave FPGA;through designing two functional modules of counter and function generator,reconfigurable performance of the virtual system is verified.Modular standard hardware is the hard fundament for virtual instrument. The traditional hardware module is independent entity one by one, which make them inflexible in configuration and large in volume. Depending on the FPGA hardware and reconfigurable computing technology, the function of many instruments can be realized in FPGA. The dynamic configuration can realize new function and reduce the volume of the instruments, which make the function of virtual instrument more powerful and realize the virtual instrument in a real sense.
Sensitive Data Leak Detection Based on Boundary Detection
Authors: Jia Xue Fei , Bu Ning , Gao Shang , Li Tao
Published: October 2014

Sensitive data has a great influence on our daily lives. Once the leakage of sensitive data occurred, the timely detection and response is of great importance. This article puts forward the concept of boundary detection based on the black box testing. And with the idea of boundary detection, a cross-platform sensitive data leakage detection system is built.
Design of Environment Monitoring System Based on CAN Bus and Wireless Sensor Networks for Greenhouse
Authors: Chang Bo , Zhang Xin Rong , Li Li Hong
Published: October 2014

In order to accurately collect the environmental parameters (such as temperature, humidity, illumination, etc.), which influence growth of greenhouse crops, the paper proposed a design for greenhouse environment monitoring based on CAN bus and wireless sensor networks (WSNs). The communication network of the system consists of two parts: the backbone network being constructed by CAN bus and area network being constructed by WSNs. At the same time, the designed of hardware and software about the system is illustrated in detail. System architecture indicates that the system is an effective solution for greenhouse environment monitoring.
An Improved Method for Pitch Detection
Authors: Li Jin , Shen Kun
Published: October 2014

Aiming at traditional methods cannot get good performance in noisy environments, an improved method for pitch detection was proposed. In this method, noisy speech was enhanced by using wiener filtering at first, and then analyzing linear prediction residual and power spectrum reprocessing, the feature of weighted residual power spectrum reprocessing was extracted to detect speech pitch period. Experimental results indicate that the proposed pitch detection method has higher reliability with lower computational complexity. It can detect pitch more accurately in low SNR environments and has better robustness.
The Research on Substation Computer Monitoring System
Authors: Ma Yu Ming , Liu Lin
Published: October 2014

In this paper, the substation computer supervisory control system structure, content, features and characteristics were described. In recent years, substation monitoring technology has been developed rapidly, and has been widely used. However, due to the promotion of our country is in its infancy, technology is not mature, the new operation and management model is being explored, and thus in the operation also exposed some problems.
Simulation Detection Power of Shore-Based Radar under the Influence of Sea Clutter
Authors: Cao Yu Peng , Zhang Yang , Luo Jun , Jian Fu Sheng , Dai Xi Guo , Zhai Zhu Qun , Ma Xiao Ying , Gu Zheng Cheng , Wang Jing Yi , Jiang Xiao Yan , Xu Zheng Xuan , Meng Fan Chen
Published: October 2014

According to the principle of electromagnetic wave propagation and the model of radar multipath propagation, this paper established radar detection power model in natural space under the impact of sea clutter, and on condition that conducting simulations to study detection power of shore-based radars on different altitudes and different operating frequencies. Simulation results indicate that when the radar operating frequency is constant, with the erection height increases, the detection range will increase at the same time, while significantly reduced about blind region. When the radar erection height is constant, blind region is filled with radars working at C, S and X operating frequencies. The effect of blind filling is of great importance for adjacent bands. This paper provides theoretical reference analysis for radar detection power assessing and overall with a strong engineering application value.
Step Detection Algorithm Using Fast Fourier Transformation
Authors: Zhang He , Peng Rui , Zhao Xiao Dong
Published: October 2014

Pedestrian Dead Reckoning (PDR) is a core component in pedestrian navigation. Usually, PDR algorithms use the current position and movement information to figure out position in the future in order to accomplish the navigation task. Step detection, as a basic portion of PDR, is significant for the implementation of Pedestrian Navigation. In this paper, a step detection algorithm is designed based on the existing research in the relative area. To improve accuracy, the algorithm involves a Fast Fourier Transformation (FFT) for optimizing. At last, an experiment is conducted for this algorithm, and the error rate of step detection is less than 1%.
Research of Elevator Remote Monitoring System Based on Zigbee Technology
Authors: Chen Ji Wen , Yang Hong Juan , Fan Wen Li
Published: October 2014

The remote monitoring system of elevator is an important tool to improve the service quality of safety operation of elevator. This paper studies the elevator monitoring system based on Zigbee, which uses MCU to control the operation of elevator model, transmits operation informations of the elevator model to the PC monitoring system with information transmission module of Zigbee, and displays and queries basic informations and operation status informations of elevator. The communication of the Zigbee module and MCU needs to convert the voltage value of transmission signal. In this paper, the design of remote monitoring system of elevator based on Zigbee has certain reference significance for the research on the elevator remote monitoring system.
Identification of Greengrocery Seeds Based on NIR and Different Pretreatment Methods
Authors: Zhang Guo Kun , Sun Jun , Wu Xiao Hong , Li Qing Lin , Jiang Shu Ying
Published: October 2014

An identifiable model based on near-infrared spectra (NIR) was proposed to distinguish the classification of greengrocery seeds. The performance of five pretreatment methods: Original, Smoothing, MSC (Multiplication scatter correction), SNV (Standard Normalized Variable) and FD (First Derivative) were utilized to reduce the noise in the original spectrum. The effective wavelengths were selected to remove the redundancy existing in the spectra by simulating stepwise regression. The performances of the model were optimized by the combination of pretreatments and effective wavelengths selection in this paper. Compared with the five pretreatment methods, SNV was superior to other methods with an accuracy of 100%. It is concluded that SNV coupled with simulating stepwise regression could be used to identify greengrocery seeds effectively.
Simulation Study of General Equilibrium Analysis of Exchange Rate
Authors: Zhang Yuan Yuan
Published: October 2014

With the improvement of our openness and the pressure of RMB appreciation in recent years, studies the equilibrium exchange rate is extremely important. First,the article introduces the background and current status of the equilibrium exchange rate. Second,the article is not innovative empirical analysis in the past, but through the simulation method by CD and CES production function, use the program to calculate the equilibrium exchange rate .By changing the amount of money supply and labor supply of country 1 and country 2 to observe whether the exchange rate changes.Finally,we know that the change of labor supply does not affect equilibrium exchange rate, changes in the money supply affect the equilibrium exchange rate, exchange rate changes and to analyze the reasons for the appreciation or depreciation of the currency. Finally, a brief introduction to the current exchange rate regime and its reforms.
Optimization Method for Robust Continuous Parameter Design in the Target-being-Best Based on Genetic Evolution
Authors: Zeng Qiang , Shen Ling , Zhang Ze Bin
Published: October 2014

Aiming at the problem of robust continuous parameter design in the Target-being-best, in which the output value can be obtained by theoretical calculation, an optimization method based on genetic evolution is proposed. Firstly, the researched problem is described mathematically and an optimization model is established with the objective to minimize the average quality loss of a sample. Secondly, the optimization method based on genetic evolution for the researched problem is proposed. Thirdly, the genetic algorithm for robust continuous parameter design in the Target-being-best is presented and designed. Finally, the effectiveness of the proposed method is validated by case study.
Research on Application of Sparse Representation in Feather and down Category Recognition
Authors: Yan Xiao Fei , Wang Yan Qiu
Published: October 2014

In signal analysis, as a new representation, the sparse representation caused widespread concern of scholars at home and abroad, and signal processing and analysis produced a very significant impact. Feather and Down is closely related to people's lives, different kinds of down, the price difference is bigger, and thermal properties are different, and therefore, feather species identification has always been an important issue. This paper studies the sparse representation in image processing, while the types of detection of Down key technologies studied, proposed a new algorithm to detect the type of feather sparse representation. In this algorithm, an improved sparse we will de-noising method based on the introduction of a global atomic library come down on the previous species detection algorithm has been improved. The algorithm is applied to obtain a certain effect, making feather and down recognition rate has improved to some extent, the effect is significant.
Algorithm for TDOA Sorting Based on Clustering
Authors: Li Ting Jun , Liu You Ming , Che Zhi Yu , Qu Chang Wen , Zhang Yang
Published: October 2014

Correctly sorting the staggered pulse trains each station received is one of the key technologies in the location effect of multi-station time difference passive detection system. According to the problem of straight grid division and the difficulty in sorting two emitters with the same one-dimensional time difference in the histogram method, a time difference sorting algorithm based on natural clustering is proposed. Simulation results show that the algorithm can overcome the defects of histogram method above, and solve the pulse miss-sorting problem, offering better sorting results.
Matrix Patterns Based Active Appearance Models for Lung CT Segmentation
Authors: Li Yong , Wang Qing Zhu
Published: October 2014

Segmentation of diseased lungs in CT images is a nontrivial problem. As Active Appearance Model (AAM) has been applied effectively in this field, we propose a new approach for the construction of traditional AAM to segment the lung fields more accurately and efficiently: Matrixes based AAM (MatAAM). MatAAM is based on two-dimensional image matrixes rather one-dimensional vectors. Its appearance matrix does not need to be transformed into a vector prior to computing the appearance parameter. Instead, a covariance matrix is constructed directly using the normalized appearance matrixes and its eigenvectors are derived for the appearance parameter. The experiment results were compared to other landmark-based methods: Snake, Active Shape Model (ASM), AAM and several modified versions of them. For segmentation of lungs especially diseased lungs, MatAAM performed a superior result in both precision and efficiency.
Large-Sample Inference of EM Based on Maximum Likelihood Estimates
Authors: Li Yong
Published: October 2014

EM algorithm is a very popular algorithm in missing data analysis. However,The variance of the estimator from EM is intractable. In this paper, we propose the supplemented EM algorithm for computing the variance that do not require computation and inversion of the information matrix.
Study of Application of Time Series Model in Grain Yield Predition
Authors: Zhao Yue Ling , Han Hai Yan , Cao Li Ying , Ma Li , Chen Gui Fen
Published: October 2014

the food forecast is very important for grain production, adjusting the important theoretical basis for grain planting structure, making the food security and agricultural sustainable development strategy. In order to solve the insufficiency of the traditional model selection criteria in practical application, the relationship between the quantity of consumption and time, time series forecasting models of food grain consumption per capita in China. The results showed that, two timing the predictive fitting statistical index model is highly significant, by applying the model to the data of inside forecast more accurate prediction results, but because of many influence factors, its accuracy to be tested time and actual.
Hopy Bifurcation and Stability Analysis in a Predator-Prey Model with Distributed Delays
Authors: Chen Hong Bing
Published: October 2014

In this paper, A mathematical model of two species with stage structure and distributed delays is investigated, the necessary and sufficient of the stable equilibrium point are studied. Further, by analyze the associated characteristic equation, it is founded that Hopf bifurcation occurs when τ crosses some critical value. The direction of Hopf bifurcation as well as stability of periodic solution are studied. Using the normal form theory and center manifold method.
Application of Rough Set Theory in the Evaluation of Heavy Metal Pollution
Authors: Ma Hong Feng , Lan Cong Hua , Miao Xu Hua
Published: October 2014

Lead, Mercury and Cadmium etc as the main evaluation index of heavy metal pollution established relational data model. The rough set theory is introduced, use the existing algorithm (Combinatorial Completer) to fill the missing value. After data preprocessing, use the DBMAS algorithm proposed in the paper to calculate the important degree of heavy metal pollution factors, in order to provides a more objective evaluation index weight for evaluation of heavy metal pollution.
Consistent Mesh Segmentation Based on Shape Diameter Function and EM
Authors: Jia Hui , Geng Guo Hua , Zhang Jian Gang
Published: October 2014

3D model segmentation is a new research focus in the field of computer graphics. The segmentation algorithm of this paper is consistent segmentation which is about a group of 3D model with shape similarity. A volume-based shape-function called the shape diameter function (SDF) is used to on behalf of the characteristics of the model. Gaussian mixture model (GMM) is fitting k Gaussians to the SDF values, and EM algorithm is used to segment 3D models consistently. The experimental results show that this algorithm can effectively segment the 3D models consistently.
Separation of DMMP/Water Vapor with PDMS/Silica Membranes for the Sample Inlet of Ion Mobility Spectrometers
Authors: Qin Mo Lin , Guo Cheng Hai , Yang Liu , Zhao Jian Jun
Published: October 2014

In order to obtain an ideal sample inlet membrane for ion mobility spectrometers (IMS), fumed silica was modified using hexamethyldisilazane and was incorporated into the matrix of polydimethylsiloxane (PDMS) silicone rubber to fabricate PDMS/silica mixed matrix membranes with different thickness. Dimethyl methylphosphonate (DMMP) permeability of thin silicone rubber membranes (SRM) with the least thickness of approximate 5μm was studied. DMMP concentration interior to the SRM showed the linear correlation to that external to the SRM. Thickness and temperature of SRM were two important factors influencing the permeation proportion of DMMP. Most water vapor was prevented to transfer through the SRM. In addition, the SRM had a good selectivity of DMMP/water vapor and the maximum separation factor was 4.82 when the temperature of membranes reached 80 °C.
An Application of Improved Newton-Ralph Method in Microgrid Power Flow Calculation
Authors: Zhang Han Ping
Published: October 2014

The traditional methods of power flow calculation are no longer applicable for microgrid for the reason that there are many kinds of DG(distributed generation) in it, the mathematical models of these DGs are different from traditional generations. An unified method is proposed to improve Newton-Raphson power flow calculation method for the bus types of PQ(V) and PI after analyzing and establishing power flow calculation model for each kind of DG. It is proved that this method is correct by comparing the results with the simulation results of DigSILENT. The influences on voltage and power loss in microggirds brought by DGs are studied at last.
The Research of Thermal Dispersion in Porous Medium with Different Skeleton Structures
Authors: Zhan Hong Ren , Xu Hong Feng , Li Shi Fang , Zhang Xian Zhen , Li Ya Xia
Published: October 2014

A numerical simulation method is hereby adopted in this paper to calculate and analyze the thermal dispersion influence factors of three particle-shaped porous mediums of two-dimensional porous medium with different skeleton structures. Result shows that the thermal dispersion influence factors include fluid thermal properties, Darcy velocity, porosity and skeleton structure, etc. Under the same condition, the thermal dispersion coefficient of a circular particle model is maximum, and it increases with the rise of Pednumber; with the increase of the porosity or the reduction of Darcy velocity, the thermal dispersion coefficient reduces increasingly. When considering the thermal dispersion effect, the axial temperature variation of fluid is more applicable for numerical simulation, which proves that it shall consider the thermal dispersion during researches on porous medium models.
Multi-View Semi-Supervised Learning Based Image Annotation
Authors: Sun Cheng Jian , Zhu Song Hao , Shi Zhe
Published: October 2014

This paper proposes a novel multi-view semi-supervised learning scheme to improve the performance of image annotation by using multiple views of an image and leveraging the information contained in pseudo-labeled images. In the training process, labeled images are first adopted to train view-specific classifiers independently using uncorrelated and sufficient views, and each view-specific classifier is then iteratively re-trained using initial labeled samples and additional pseudo-labeled samples based on a measure of confidence. In the annotation process, each unlabeled image is assigned appropriate semantic annotations based on the maximum vote entropy principle and the correlationship between annotations with respect to the results of each optimally trained view-specific classifier. Experimental results on a general-purpose image database demonstrate the effectiveness and efficiency of the proposed multi-view semi-supervised scheme.
Precise Classification of Point Clouds from the Blade Section and the Chord Length Feature Extraction
Authors: Li Hua Li , Liang Qi Long , Zhang Jun Chao , Wang Ting Ting , Zhou Jun
Published: October 2014

For some special blade section, an accurate partitioning algorithm for feature point cloud is presented to avoid the drawbacks of traditional convex hull algorithm. On this basis, the method based on graph transformation is used to extract the chord length. The experimental results show that these two algorithms have strong generality, high accuracy and efficiency, can meet the testing requirements of blades.
Manipulating the Profile of Nanostars
Authors: Gu Qiong Chan , Jiang Xiao Xiao , Lv Jiang Tao , Si Guang Yuan
Published: October 2014

Using electron-beam lithography and ion milling techniques, we fabricate nanostar biosensors with different shapes and various designs to show tunable plasmon resonances. We also demonstrate further profile control over the outlines of nanostars and both under-and over-etched particles are achieved and compared. Moreover, the tunability of such plasmon-based sensors can find extensive and important applications in spectroscopy and enhanced biosensing.
Research on Second Distribution of Real Value Detectors Based on Heuristic Movement
Authors: Wang Tian Bo , Zhang Feng Bin , Xia Chun He
Published: October 2014

Traditional anomaly detection algorithm has improved to some degree the mechanism of negative selection. However, there still remain many problems such as the randomness of detector generation, incompleteness of self-set and the generalization ability of detectors, which would cause a lot of loopholes in non-self-space. This paper proposes a heuristic algorithm based on the second distribution of real value detectors for the remains of loopholes of the non-self-space in the first distribution. The algorithm proposed can distribute real value detectors through omission data based on the methods of partition and movement. A method is then proposed to solve the problem on how to get the optimal solution to the parameters related in the algorithm. Theoretical analysis and experimental results prove the universality and effectiveness of the method. It is found that the algorithm can effectively avoid the generation of loopholes and thus reduce the omission rate of detector sets.
Research on the Subjective Topic Grading Agorithm Based on the Computer Course
Authors: Lv Sai Dong , Xie Ji Li
Published: October 2014

Subjective question marking system at present is affected by the attention of people, the subjective topic grading principles are common contrast degree of exam questions similar to those of the reference answer, and based on the improved semantic similarity algorithm, calculation of sentence similarity, the similarity degree of exam questions and reference answer is obtained, thus give scores.And design based on semantic similarity experiment, the experiment results show that the proposed multi-level fusion similarity calculation method to improve the original method, on the basis of integration advantages of various methods, make the calculation results meet the requirements of the scoring system.
Research on the Facial Expression Feature Extraction of Facial Expression Recognition Based on MATLAB
Authors: Ju Wang , Rui Ding , Nie Chun Yan
Published: October 2014

In such a developed day of information communication, communication is an important essential way of interpersonal communication. As a carrier of information, expression is rich in human behavior information. Facial expression recognition is a combination of many fields, but also a new topic in the field of pattern recognition. This paper mainly studied the facial feature extraction based on MATLAB, by MATLAB software, extracting the expression features through a large number of facial expressions, which can be divided into different facial expressions more accurate classification .
An Efficient Ear Recognition Method from Two-Dimensional Images
Authors: Zhang Yu Jun , Xiang Mei , Tian Ying
Published: October 2014

An efficient ear recognition method by weighted wavelet transformation and Bi-Directional principal component analysis was proposed. First, each ear image was decomposed into four sub-images by wavelet transformation ,the four sub-images were low frequency image , vertical detail image ,horizontal detail image and high frequency image .Then the low frequency image was decomposed into four sub-images, the four-images were weighted by different coefficients, then ,the four sub-images were reconstructed into a image .On this basis ,the feature was extraction by the BDPCA method ,and then we use the k-Nearest Neighbor Classification to recognition .Experimental results show that the method have high recognition rate and shorted training time.
A Method of Chinese Text Detecting Errors Based on Recognition Errors by OCR
Authors: Tian Zhuo , Li Bai Cheng
Published: October 2014

In this paper, we firstly analyzed the features or patterns of recognition errors in the text recognized by OCR.According to the results of Chinese egmentation and combining the analysis of san string, we detected recognition errors that may appear in the text through the application of proofreading rules or calculating Bi-neighborship of the words.At last, the experiment system would be tested and analyzed,and then we get the advantages and disadvantages of the method.
A Study of Based on Suffix Array Technology to Identify Network Hot Topic
Authors: Fang Yuan , Che Qi Feng
Published: October 2014

This paper introduces suffix array method, the basic concepts, and cooperate with the longest suffix group public prefix array constructor, suffix array is constructed using multiplication algorithm, based on suffix array technology, has realized the extraction of multiple essay in this string of LCS, and then identify network hot topic, and then through the suffix array to assist in monitoring the essay in this cluster after all kinds of hot topic.
A Study of Recognition Algorithms of Large-Scale Image Based on the Fusion of SIFT Features and BP Neutral Network
Authors: Ding Xue , Han Shun , Yang Hong Hong , Xu Jin , Yang Guang
Published: October 2014

Large-scale image recognition refers to giving computer the human visiual intelligent, in the massive data mode using computer to rrecognize the input image rapidly and exactly. In the process of recognition, the light, rotation and other factors will be the effects, meanwhile these noises will increase the difficulty of visual object recognition. How to recognize the large-scale image in the real scene and complex environment becomes a research topic. In order to recognize the large-scale image in real and complex envvironment and get a better recognition effect, this paper presents large-scale image based recognition algorithms with fusion of SIFT features and BP neutral network.
Moving Object Detection Based on Improved Background Updating Method for Gaussian Mixture Model
Authors: Wen Wu , Jiang Tao , Gou Yu Fang
Published: October 2014

An effective improvement method was put forward caused by the traditional Gaussian mixture model has poor adaptability to illumination mutation. When illumination mutation is detected, improved Frame difference could detect the foreground region and background region, and then adopts a new replacing update methods to the Gaussian distribution with the least weights of Gaussian mixture background models in different regions. The experimental results show that improved method makes Gaussian mixture model can quickly adaptive to the light mutation, and exactly detect the moving object.
A New Quick Recognition Method Based on RGB Color Space
Authors: Hou Dong Liang , Feng Xiao Lin
Published: October 2014

Automatic Guided vehicle (AGV) can free drivers from boring work. Previously AGV guided by black conduction band, as the color is single, it can only used for a kind of vehicle navigation.When there are several kind of vehicles need to be guided, the black conduction band becomes powerless. Color conduction bands can overcome this problem. Usually RGB image should be converted to other image space, and then identifies the bands,but it costs lots of time. This paper proposes a quick recognition method which can be used in RGB color space. It effectively improved the recognition speed, and realized real-time identification.
Zoned Inhomogeneity in Asymmetric Exclusion Processes with Random Update and Off-Ramp
Authors: Wang Ya Fei , Liu Bing Qi , Yang Gang , Cao Xu
Published: October 2014

In this letter, we investigate asymmetric simple exclusion processes (ASEPs) with zoned inhomogeneity and off-ramp by the means of theoretical analysis and simulations. According to the theoretical analysis, we can find that the phase diagrams existing in this one-lane system varies with different hopping rate p and off-ramp rate q and the condition for p<0.5 and p>0.5 is distinctly different . It should be noticed that LD/LD, LD/HD and MC/HD can exist in this system no matter how hopping rate p and off-ramp rate q change.
Research of ASM Object Tracking Method Combining Kalman Estimation
Authors: Zhang Li Guo , Jin Mei , Jin Ju , Yu Guo Hui
Published: October 2014

ASM is a statistical model applied to match contours of non-rigid object. The actual contour may much different from the initial contour and the result is likely to converge to an error contour. Kalman filter is adopted to track the current frame for the prediction and acts as the initial state of the ASM, and then applies the ASM to correct the contour of the object. Experimental results show that the method proposed in this paper allows the model to converge to the target contour quickly and accurately. It has good stability and robustness.
The Automatic Image Registration Algorithm Based on Bag of Words and Features Point
Authors: Hou Ying , Wang Gui Cai
Published: October 2014

According to actual requirements and situation, a novel automatic image registration algorithm was presented based on bag of words and features point. Firstly, pyramid delaminating was used to preprocess the pre-registration images. Then, image normalized could be obtained. Secondly, the dense SIFT features points could be extracted. The paper could get the feature eigenvectors descriptions of image by k-means clustering algorithm. Thirdly, the feature eigenvectors descriptions of image were train and the reference and pre-registration images were classification through Support Vector Machine (SVM). Finally, image registration could implement by features matching points. The results of experiment with the with office room and building test images shown the proposed algorithm was effective and could obtain the better registration image.
Toward Executable Model of System of Systems Capability Architecture for Verification
Authors: Tao Zhi Gang , Wang Ming Zhe
Published: October 2014

Based on the DoDAF V2.0, the paper proposes a three-phased development process for the creation of the executable model of SoS capability architecture. The process not only takes a hybrid framework which supported the performance evaluation of SoS into consideration, but also gives emphasis to the dynamic logical relationship among activities, referred as syntax rules, which is not well highlighted in the current existing executable model creation method. The three phases are: analysis, synthesis/transform and refinement. The goal of the analysis phase is to create the SoS capability architectural description, including CV, OV, DIV, and SV/SvcV. The synthesis/transform phase shows the guideline and principle that govern transformation between the architecture model and PN. The refinement phase illustrates the transformation between OPN and CPN, and refines the interface between event driven dynamics and time driven dynamics to carry out the hybrid simulation.
Research of Classification Methods of EEG Signal Based on Wavelet Packet Transform and LVQ Neural
Authors: Pang Xue Yan , Yin Shi Nin , Li Hong Zhou , Zhu Jian Ming , Chen Zhen Cheng
Published: October 2014

In order to improve the correct recognition rate of EEG(Electroencephalogram,EEG) signals to meet the needs of Brain-Computer Interface system,this paper put forward a new method of signal recognition which combines wavelet packet decomposition and LVQ neural network.First,using the method of wavelet packet to analyze the signal,and then extract the specific frequency band’s energy of wavelet packet as characteristics.Then using the LVQ neural network model to study the distinguishing between the two EEG datas of Motor Imagery.The simulation experiment uses Matlab software to design LVQ neural network model to judge the two kinds of Motor Imagery task.In the process of judgment,respecti-vely to classify the data by using BP neural network and LVQ neural network.Experimental results show that the LVQ neural network can have a higher correct accuracy to recognize the motor imaginary task than BP neural.
Image Denoising Based on K-SVD with Adaptive Dictionary Size
Authors: Fu Mei Ling , Wang Zhi Ming , Cao Rui Xin
Published: October 2014

Image denoising method based on K-SVD self-learning dictionary can effectively filter Gaussian white noise in an image and retain image details and texture information. This paper proposed an improved denoising algorithm which was based on K-SVD algorithm, but with adaptive dictionary size. Depending on the complexity of image content and the noise level, our algorithm determines the size of the dictionary adaptively. Experimental results show that proposed algorithm can reduce the number of entries of the dictionary significantly for the simple images, and increase the number of entries for the complex images. Both the efficiency and the denoising performance are improved compared with original K-SVD algorithm.
An Improve Cuckoo Search Algorithm for Time-Table Problems
Authors: Fan Jing Xing , Li Yue Guang
Published: October 2014

Time-table Problem of universities is a many factor of the global optimization problem. In this paper, according to the characteristics of time-table problem, an improve Cuckoo Search Algorithm was used to solve the Time-table Problem, adopting the code rule of randomized key representation based on the smallest position value, and then the design scheme of time-table problem of universities based on improved cuckoo search algorithm was expounded through studying influence factors of time-table problem of universities. Finally,the result shows the algorithm is feasible and effective.
The Analysis of the Traffic Flow Running along the Horizontal Curve of the Approach Bridge
Authors: Ye Xin , Deng Wei , Hong Tao
Published: October 2014

The horizontal curve is a very common linear in the road design. On the other hand, the horizontal curve in the approach bridge may affect the traffic flow in many ways. The north approach span of Nanjing Yangtze River Bridge is herein taken as an example. With the help of the traffic speed data ,traffic density data and traffic volume data from the traffic survey and analysis, the features of traffic flow,which change with the morning peak appearing, have been found by modeling. Finally, the paper gives several ways to optimize the traffic management and control, improve transport and security.
Design of Digital Pulse Compression System Based on FPGA
Authors: Yu Yan Xin , Wang Chun Yang , Chen Yu , Yang Ke
Published: October 2014

Pulse compression technology is one of the key technologies in the field of modern radar signal processing, can effectively solve the contradiction between action distance and resolution. In this paper, a radar digital pulse compression system is designed and implemented based on FPGA with linear frequency modulated signal. The digital pulse compression module is designed using FFT IP core which can be reused in different periods of DPC, respectively performing FFT and IFFT calculation, so that the hardware consumption is saved significantly. Therefore, compared with other systems, the system designed in this paper has the characters of fast processing speed, high degree of modularity, real-time processing and short development cycle.
Embedding of Binomial Trees in Locally Twisted Cubes with Link Faults
Authors: You Lan Tao
Published: October 2014

As a newly introduced interconnection network for parallel computing, the locally twisted cube possesses many desirable properties. In this paper, binomial tree embeddings in locally twisted cubes are studied. We present two major results in this paper: (1) For any integern≥ 2, ann-dimensional binomial treeBncan be embedded inLTQnwith dilation 1 by randomly choosing any vertex inLTQnas the root. (2) For any integern≥ 2, ann-dimensional binomial treeBncan be embedded inLTQnwith up ton− 1 faulty links inlog(n− 1) steps where dilation = 1. The results are optimal in the sense that the dilations of all embeddings are 1.