bluuebunny/crossref_metadata_2025 huggingface dataset:
The Modeling and Simulation of Digital Lathe Based on OpenGL
Authors: Zhang Yan Rui , Bi Hai Xia , Wang Tie Cheng , Li Shi Jie
Published: July 2014

In the article, a digital machining environment of CNC lathe is established. On the basis of the idea of Constructive Solid Geometry method, the system consists of the blank display model, the tool and fixture model, CNC machining program editing model and machining simulation model. By making use of VC++ and OpenGL graphics technology the program is done for machine tool motion simulation and cutting simulation. It is an effective accessory tool in the application of CNC lathe to digital production.
Study on the Improved Fuzzy PID Controller of Flywheel Battery in the Micro-Grid
Authors: Li Xiao Ying , Zhang Li Tao , Dong Rui
Published: July 2014

Output power of wind and PV generation units in micro-grid varies dramatically according to weather condition,which will cause voltage fluctuation of micro-resource and in turn lead to poor power quality of the micro-grid. To solve this problem, flywheel storage device on the AC side of the micro sources is studied.Furthermore, the improved fuzzy PID controller is proposed to suppress voltage fluctuation caused by random variation of wind speed and solar radiation. Simulation under Matlab/Simulink is fulfilled.The results validated the fastness and effectiveness of flywheel battery control strategy in the power quality improvement.
Agile Product Development Model Focused on the Telecommunication Service
Authors: Barrionuevo Silva Rodolfo Rodrigues , de Paula Lacerda  Santos Adriana , Canciglieri Osíris
Published: July 2014

The Telecommunications Industry has a highly competitive and constant technological innovation scenario. Therefore, its Product Development Process (PDP) must have adequate structure and agility. In this context, this article presents a structure of the PDP to providers of telecommunications services. This proposal was based on literature review and in two case studies in Brazil.
An New Approach of Real-Time Traffic Flow Prediction Based on Intelligent Transportation Technology
Authors: Li Jia Yang , Xue Qin , Liu Jin De
Published: July 2014

Short-term traffic flow forecasting is a core problem in Intelligent Transportation System .Considering linear and nonlinear, this paper proposes a short-term traffic flow intelligent combination approach. The weight of four forecasting model is given by the correlation coefficient and standard deviation method. The experimental results show that the new approach of real-time traffic flow prediction is higher precision than single method.
Implementation Techniques of Modular BOM in Automobile Flexible Manufacturing
Authors: Yao Jia Ming , Lu Cheng Hong , Wang Yan Hui
Published: July 2014

The role of bill of material (BOM) was firstly introduced. Then, the techniques of how to establish modular BOM in multi-products enterprise was analyzed to realize accuracy and just-in time delivery of materials.
Preparation and Characterization of Soap-Free Cationic Polystyrene Microspheres Using a Water Soluble Monomer
Authors: Zhao Zong Qian , Xu Bu Qin , Xu Gui Long , Wang Yi , Hu Jian
Published: July 2014

Soap-free Cationic polystyrene microspheres were prepared by emulsion polymerization using a water soluble monomer Methacrylatoethyl trimethyl ammonium chloride (MADAC). Experimental studies were performed in detail to check the effect of the synthesis process of the microspheres, the MADAC dosage, and initiator dosage on the particle size and distribution. The chemical structure of latex particles was characterized by Fourier transform infrared spectroscopy. The micro-morphology of latex particles were observed by Transmission electron microscope. The results show that different particle sizes of polystyrene microspheres with good monodispersity were finally obtained by seeded semi-continuous emulsion polymerization.
Preparation of High Pure and Micron-Sized α-Al2O3 Powder by Activated Aluminium Hydrolysis Method
Authors: Tao Ran , Zhao Yu Tao , Jia Zhi Hong , Xu Liang
Published: July 2014

In this paper, high pure α-Al2O3 powder is prepared through active hydrolysis by using high pure aluminum as raw material . Using X-ray diffractometer, scanning electron microscope, laser particle size analyzer and ICP-OES to research the phase transitions, organizational structure, particle size distribution and the purity of the α-Al2O3 powder. The results show that: the high pure α-Al2O3 powder have micrometer level of the size, good dispersion and purity of 5N under atomization, hydrolysis reaction and calcination at 1200°C for three hours.
Prognostic Significance of Glycoprotein 96 in Human Hepatocellular Carcinoma
Authors: Wang Xiao Ping , Lin Huan Ping , Xu Bing , Zhang Ke Pei , Fang Jing Gang , Yang Yi Xin
Published: July 2014

Glycoprotein 96(gp96) is highly expressed in cancer tissues. Recent studies indicate the possible roles of gp96 in the development and progression of hepatocellular carcinomas but detailed information is still ambiguous. The aim of the study is to investigate the correlation between clinicopathology and immunolocalization of gp96 in human hepatocellular carcinoma. Immunohistochemistry demonstrated that gp96 expression in hepatocellular carcinomas with metastasis was significantly higher than those with non-metastasis. Gp96 expression was significantly associated with the presence of tumor infiltration, lymph node and remote metastasis.
Design, Synthesis, and Biological Evaluation of Sorafenib Analogs Bearing a Sulfonylurea Unit as Novel VEGFR2 Kinase Inhibitors
Authors: Zhu Wu Fu , Wu Chun Jiang , Xu Shan , Li Wei , Fang Hai Hong , Chen Zhi Chao , Tu Xu Huang , Zheng Peng Wu
Published: July 2014

Two sorafenib analogs (9a,9b) containing sulfonylurea unit were synthesized and their chemical structures were confirmed by 1H NMR and MS spectrum. The synthesized compounds were evaluated for the inhibition rate against VEGFR2 kinase at 10μM level. The inhibition rates of compound 9a and 9b against VEGFR2 kinase were 61.0±11.1% and 22.6±2.6%, respectively. The results showed that the introduction of sulfonylurea unit is favorable for the activity, and further study is being carried out.
Design Consideration of a Health-Information-Technology-Supported Intelligent Urinalysis System
Authors: Dong Tao
Published: July 2014

Urinalysis is not only widely employed in medical diagnosis but also suitable for household daily monitoring of personal health conditions. However, current urinalysis methods and instruments require more professional knowledge, while the sampling and treatment of urine samples are manual and inconvenient. In this work, a new-concept automatic urinalysis system is proposed to provide personal urinalysis services for home users. The system forms an eco-friendly intelligent toilet, which is of great significances in the future healthcare network. The basic strategy is to design a fixed supporting platform and various disposable urinalysis lab-on-chips with great expansibility and high flexibility. The intelligent device has multiple functions of automatic urine sampling, rapid on-chip detecting, auto-decontaminating and personalized health information technology (HIT) supporting, thus to provide a low-cost solution of automatic urinalysis services for both inpatients in hospitals and home-users. The structure of the urinalysis system logically resembles the frame with fixed smart cellphones and various mobile application programs. Besides, a biological lighting module is also designed to harvest the energy in wasted urine by continuous culturing vibrio fischeri, a luminescent bacterium. The integrated urinalysis system could create the possibility of remote medical services for home users, and meanwhile generates a new branch in the field of microsystem, which is entitled as ‘HIT-oriented lab-on-chips’.
Bi2S3 Nanoflowers Synthesized via Hydrothermal Method
Authors: Chen Xi Liang , Ji Yan Pei
Published: July 2014

Bi2S3 flowerlike patterns were synthesized via a facile hydrothermal approach without using any surfactant and acid. The morphology, structure, phase composition, of the as-prepared Bi2S3 products were characterized using scanning electron microscopy, X-ray diffraction, high-resolution transmission and electron microscopy, respectively. The experimental results showed that the product possesses good distribution of morphology, well crystallized nanostructure.
Ballast Water Discharge and the Influence of Seawater Environment
Authors: Li Xiao Yan , Liu Sha , Zhou Zhi Min
Published: July 2014

Ships have carried solid ballast for thousands of years in the form of rocks, sand or metal. In modern times, ships use water as ballast. It is more easier to load on and off a ship and more efficient and economical than solid ones. Ship fills with ballast water when it is empty of cargo, and the ballast water is discharged when it loads cargo. In ballast water ,there are hundreds of organisms carried that cause problematic ecological effects outside of their natural range. Preventing the transfer of invasive species and coordinating a timely and effective response to invasions require cooperation and collaboration between governments. Considerable efforts had already made to formulate appropriate standards for ballast water management during the convention development process.
Overview
A New Optimal Method for Load Transfer in Power Distribution Network
Authors: Wang Qun , Yao Li , Zhang Zhan Long
Published: July 2014

According to the problem that when power failure occurs in distribution systems, load transfer is to recover the load downstream failures without any violation as fast as possible. This target is reached by switch operations and load cut. Using the stochastic optimization method to the solution of the problem, we can improve the efficiency of solution for the operation personnel to provide the reference scheme of load transfer. Test results of a 33 bus sample network have shown that the new method for load recovery can significantly reduce the losses caused by the failures and improve system reliability.
Design, Simulation and Experiment of Polarization Transformers Based on Twisted Chiral Metamaterials
Authors: Yang Zhuo , Jing Zhi Sheng , Su Qiang Yong , Qin Guo Wei , Zhou Ze Long
Published: July 2014

In this paper, we proposed a metamaterial polarization transformer which exhibits linear dichroism and linear conversion dichroism simultaneously. Through simulation and experiment studies in the microwave regime, it was found that only cross-polarization transmissions of x-polarized waves and co-polarization transmissions of y-polarized waves are allowed in the designed structures. As a result, the proposed metamaterials can transform any polarizations into y-polarizations with signal-to-noise ratios over 20 dB and transmissions over 0.6.
The Research of Atmospheric Pressure Cold Plasma Jet Generated by Auto-Excited-Pulsed DC Discharge
Authors: Hu Ye Lin , Wang Qiu , Chen Zhao Quan
Published: July 2014

In order to obtain stable cold plasma jet under atmospheric pressure condition, we designed a high-voltage DC power supply based on the principle of multilayer piezoelectric ceramic transformer (MPT). At the same time, we developed a cold plasma jet device that its shape is similar to the gun structure. The total weight of device, including the power supply and the generator, is less than 500 g. In the experiments of argon plasma under atmospheric pressure, current–voltage measurements show that the discharge actually appears periodically pulsed with a frequency of about 30 kHz. The discharge current has a pulse-width that is about 100 ns, while its peak value reaches about 32 mA. The maximum length of the plasma is about 3 cm. The further study showed that the discharge current pulse frequency is determined by the ion drift mechanism.
Detection of Phase Purity of Sr2FeMoO6 by Raman Spectroscopy
Authors: Xu Zhen Feng , Zhang Qin , Yuan Suo Jia
Published: July 2014

. The micro-Raman technique is used to examine the phase purity of Sr2FeMoO6 compound in this work. It is found that the Raman spectra of Sr2FeMoO6 compound without impurity consists of the peaks at about 440cm-1 and 620cm-1. The broad peak and shoulder at 820-890cm-1 in the Raman spectra is assigned to the most common impurity SrMoO4 and some other unidentified co-existing phases, which is approved by the results of X-ray diffraction.
Study on Sewage Treatment Process in Stone Production
Authors: Zhao Min , Guo Wei Wei , Xiao Qiang , Zhang Jing
Published: July 2014

In the process of stone cutting and polishing, a large amount of high turbidity water is produced, which causes the waste of water resources and the pollution of the environment. The traditional treatment process is optimized, taking problems occurred in sewage treatment process by small and medium-sized enterprises and the existing technology and method into consideration. According to the production process of stone, the amount of waste water generated every day is calculated, which provides a theoretical basis for the sedimentation tank optimization and design. The necessity of stone wastewater reuse is illustrated.
Study on Response of Cyperus alternifolius to Cr(VI) and Ni Combined Pollution
Authors: Liu Min Chao , Zhou Wu
Published: July 2014

In order to investigate the ability of Cyperus alternifolius in restoring water with combined heavy metal pollution, water cultured experiment was utilized to study the accumulation and the tolerance mechanism of Cr (VI) and Ni in Cyperus alternifolius under the combined Cr (VI) and Ni exposure. The results showed that under Cr (VI) and Ni combined exposure, low concentration Ni improved the enrichment and translocation ability of Cyperus alternifolius for chromium, while high concentration Ni had opposite effects. The enrichment ability of Cyperus alternifolius for chromium was stronger than for Ni. With the increasing of Cr (VI) and Ni concentrations, fresh weight increment and chlorophyll content showed upward trend firstly and then downward, MDA content showed a rising trend and increased significantly. When Ni concentration was between 0~1mg·L-1, SOD and CAT activities of Cyperus alternifolius increased first and then decreased with increasing Cr (VI) concentration, and root activity increased continuously. When Ni concentration was between 10~20 mg·L-1, Cr (VI) and Ni interaction decreased SOD,CAT and root activity significantly. These results show that Cyperus alternifolius had tolerance and enrichment ability to Cr (VI) and Ni, and Cyperus alternifolius can be used to restore Cr (VI) polluted water and Cr (VI)-Ni combined polluted water under low Ni concentrations.
Urban River Water Purification Experiment by Strengthening Ecological Engineering Methods
Authors: Yin Shu Hua , Wang Yu Chun , Peng Wen Qi , Du Yan Liang , Gao Bo , Gao Ji Jun , Zhou Huai Dong , Meng Qing Yi , Li Qi Jun
Published: July 2014

Based on the biological purification technology combined with the engineering measures, the enhanced nitrogen purification biological experiment is implemented in Wenyu River in Beijing. The water in the river mainly is the outflow from the sewage treatment plant, in which the ammonium (NH4-N) has been effectively removed for the deeply nitrification, while treatment of the nitrate nitrogen (NO3-N) and total nitrogen (TN) is incomplete due to the denitrification. The water has low C/N value and has poor biodegradability. In this study, aiming at the water feature of low C/N and poor biodegradability, the effective way to strengthen denitrification by some enhanced techniques, such as increasing the microorganisms number and biodegradability (ie, improved nitrogen ratio), changing denitrification rates and so on, has been studied. The experimental results show that under the condition of water flow (Q) as 15 ~ 27L/hr, hydraulic detention time as (HRT) 10 ~ 18h, concentration of nitrate nitrogen (NO3-N) as 12.20 ~ 31.44mg / L, and total nitrogen (TN) as 14.50 ~ 34.71 mg / L, the removal rates of NO3-N and TN are over 30%.
Effect of Hg in Jiaozhou Bay Waters-Settling Process
Authors: Yang Dong Fang , Wang Feng You , He Hua Zhong , Wu You Fu , Zhu Si Xi
Published: July 2014

Being a close bay, vertical settling was the dominant transfer process of Hg Jiaozhou Bay. Based on the investigation data of mercury (Hg) in bottom waters in Jiaozhou bay in 1979 to 1985 (in absence of 1984), this paper tried to analysis both of the settling processes and settling mechanisms of Hg. Results showed that that Hg in Jiaozhou Bay was settling continually over year, therefore a continued accumulation of Hg contents in bottom waters appeared, especially in spring and summer. Sediments in sea bottom could be both of source and sink of pollutants, especially for persistence pollutants such as Hg. Based on the both of the settling processes and settling mechanisms, the improve of recycle rate and the emission reduction of Hg should be the major pollution control strategies in Jiaozhou Bay.
The Research and Application of Multiple Collaborative Anti-Sloughing Drilling Fluid
Authors: Jiang Mei Ting , Wei Hao Yuan , Li Yi Hao , Shi Wen Zhuang
Published: July 2014

In order to solve the downhole complex issues such as lost circulation, sticking and well collapse during drilling due to the development of coal-bed and coal seam, thick carbonaceous shale, formation is not homogeneous, the inclination is large, well-developed cracks and other reasons, which constraint exploration and development of oilfield in Huoyanshan tectonic belt region. According to the well instability mechanism of this block and the principle of "Materialized blocking, inhibiting surface hydration, effective stress support" multiple collaborative anti-sloughing drilling fluid, we developed a set of new drilling fluid systems suitable for the Huoyanshan tectonic plate through laboratory experiments. Field test application results show that the new drilling fluid system has a strong capability of salt resistance, anti-calcium and anti-poor soil, has excellent ability of anti-collapse, and has better temperature resistance and crack sealing ability. The new drilling fluid meets the needs of drilling under complicated geological conditions completely.
Evaluation Method of Coral Reef Integrity: RMDI and Coring Rate Comparative Analysis Method
Authors: Wang Jin Chao , Wang Chuan Ying , Han Zeng Qiang
Published: July 2014

At present, relatively few drilling surveys have been conducted on coral reefs, and comprehensive geological info on coral reefs is difficult to obtain. However, research of coral reef is of great importance to our development and exploitation of maritime resources. The survey of South China Sea some Islands saw China’s first usage of digital borehole camera technology, which resulted in a large amount of first-hand geological data. Because the coral reef, special rock mass, integrity evaluation is very difficult, we proposed the RMDI and coring rate comparative analysis method. The evaluation method is applied to the South China Sea some Islands, and the evaluation results prove generally consistent with actual cores. The results indicate that: (1) high-resolution borehole images can provide reliable results for evaluation of coral reef integrity; (2) The RMDI and coring rate comparative analysis method is a feasible approach for the evaluation of coral reef integrity along the full or partial depth of a borehole.
Synthesis and Characterization of Sulfonated Poly(Arylene Ether Sulfone) Multiblock Copolymers for Proton Exchange Membrane
Authors: Xue Tong , Hu Zhao Xia , Chen Shou Wen
Published: July 2014

A series of multiblock copolymers based on sulfonated poly (arylene ether sulfone) (bSPAES-SF) with highly rigid hydrophilic sulfonate blocks and flexible hydrophobic blocks were successfully synthesized by the condensation of sulfonated decafluorobiphenyl-terminated oligomers and the hydroxyl-terminated oligomers. The former oligomers were sulfonated by fuming sulfonic acid. The bSPAES-SF membranes with IEC of 1.26-1.70 mmol/g exhibited high proton conductivity, hydrolytic and dimensional stability.
Research on Marine Fuel Boiler Drum Water Level Model and Dynamic Analysis
Authors: Zhu Miao
Published: July 2014

This article first mathematical model of boiler water level, and then in MATLAB/ SIMULINK environment, the model simulation, and thus the dynamic characteristics of the model for analysis. Many real boiler parameters and variables, complex, by simplifying the modeling process, ignores some factors and variables, a simple model can be obtained results almost true fit. Boiler water level of the model established in considering the effect of steam flow and water flow of two factors.
The Application of Maximum Differential Algorithm in Adaptive Ocean Sampling
Authors: Wang Ying , Wu Chuan Sheng , Shi Yun Qiu
Published: July 2014

This paper presents a technique for adaptive ocean sampling using ocean sampling platforms equipped with multiple sensors. The virtual environment of 2D ocean sampling is established, so as to simulate the ocean sampling region by means of the sampling platforms. There are three important phases which can be written as collecting scientific data, drawing the sampling area, and utilizing the maximum differential algorithm (MDA) in ocean sampling. By analyzing the sampling data and using the maximum differential algorithm, the sampling platforms achieve the optimizing sampling path. The simulation results by adaptive ocean sampling of single sampling platform and multiple platforms show that the proposed approach is effective and feasible. This method can be applied to conduct the moving direction based on the ocean sampling platforms.
Research on Simulation of Modern Storage System with Flexsim
Authors: Han Qing Tian
Published: July 2014

Firstly, the store system models was established with Flexsim software. Then the data statistic was taken. Finally, the analysis were carried out with a numerical example. The analysis result shows that emulating is useful for discovering the bottleneck problem of systematic operation, and the simulation is very useful for store system optimization.
Knowledge Representation of Art Patterns Based on the Calculation Mental Image
Authors: Kuang Shi Rong
Published: July 2014

Computational imaginary is a simulation of the human mental image based on the study of cognitive science. Art pattern composition knowledge representation is the basis of the intelligence of computer-aided art pattern design. The paper describes an art pattern composition knowledge representation scheme based on the model of computational imaginary. The scheme includes the deep representation, visual representation and spatial representation, and the operations of these three representations. It further describes the abstract and image information from the perspective of the relation between art pattern layout visual and spatial shape.
Improved Software Cost Estimation Method Based on COCOMO Model and Linear Regression
Authors: Yang Hai
Published: July 2014

Software cost estimation is the key step to software development management. In order to make COCOMO model applicable to Chinese enterprises, an improved software cost estimation method based on COCOMO model and linear regression was proposed in this paper. Then the replication experiment was taken by using the historical software project data of given enterprises, and then compared experience estimation with the new improved method proposed in this paper about the forecasting accuracy. The results verified that the improved cost estimation method has more practical value to software development.
Effects of the Carboxyl Density on the Properties of Polycarboxylate-Type Superplasticizer
Authors: Fu Cheng Fei , Zheng Guang Jun , Li Kang Ling , Bi Yao , Xiong Long
Published: July 2014

The effect of carboxyl density (the ratio of acrylic acid and polyoxyethylene ether) upon the performance, molecular weight, and monomer conversion rate of polycarboxylate (PCE) were investigated by slump test, Gel Permeation Chromatography (GPC) and High Performance Liquid Chromatography (HPLC), respectively. The results showed that with carboxyl density increased from 2:1 to 7:1, molecular weight of PCE increased from 7968.5 to 13930.1 and the molecular weight distribution coefficient increased from 1.5 to 2. The HPLC date indicated carboxyl density does not affect the rate of monomer conversion. Test of the fluidity of cement pastes displayed that as carboxyl density was 4.0:1, PCE show the optimal dispersion and dispersion-retaining ability.
Research of Intelligent Warehouse Layout Base on Genetic Algorithm and Dynamic Programming
Authors: Yang Lv Qing , Yan Qiang
Published: July 2014

Intelligent warehouse management can effectively improve the work efficiency and decreasing operating costs for a company, and the reasonableness of warehouse layout has played a very important role in it. This paper will aim at the warehouse layout problem, analyze the superiority of genetic algorithm and dynamic programming for the problem, and base on the genetic algorithm, integrating the thoughts of dynamic programming to put forward an optimization strategy. It can improve the accuracy and efficiency of genetic algorithm by a modified encoding scheme and fitness function, in order to put forward a more optimal scheme of warehouse layout, provide the information base for following operation of warehouse management, and improve the intelligent level of warehouse management system.
Research on Blind Source Separation Algorithm Based on Particle Swarm Optimization
Authors: Zhou Hao , Chen Chang Zheng , Sun Xian Ming , Liu Huan
Published: July 2014

Blind source separation (BSS) is a technique for recovering a set of source signals without priori information on the transformation matrix or the probability distributions of the source signals. In the previous works of BSS, the choice of the learning rate would reflect a trade-off between the stability and the speed of convergence. In this paper, a particle swarm optimization (PSO)-based learning rate adjustment method is proposed for BSS. In the simulations, three source signals are mixed and separated and the results are compared with natural gradient algorithm. The proposed approach exhibits rapid convergence, and produces more efficient and more stable independent component analysis algorithms than other related approaches.
A Inflexion Nonlinear Global Particle Swarm Optimization (PSO) Algorithm
Authors: Lv Li Xia , Lin Xiang Yu
Published: July 2014

According to the question of the standard particle swarm optimization (PSO) algorithm is prone to premature and no convergence phenomenon, this paper proposed an algorithm of Inflection nonlinear global PSO. The algorithm introduces nonlinear trigonometric factor and the global average location information in the formula of velocity updating. It take advantage of the convex of the triangle function cause the particles early in the larger velocity search maintain long time and in the later searching with smaller speed maintain long time, use the global average position information make the population can use more information to update their position. The method are applied in optimizing in the parameters of the main steam temperature control system and furnace pressure control system for comparison, the results show that the method in the search speed and precision than standard PSO has significantly improved.
Research on Anti-Plagiarism in the Education Informatization Background
Authors: Fu Bing , Xie Ben Gui
Published: July 2014

With the widely promotion of education informationization, education workers all around the world are facing a challenge that the electronic homework plagiarism has become increasingly serious. Our research includes technology innovation and education innovation, the technology innovation will divide plagiarism into two types, by using different algorithms to analysis and identify the plagiarism under the computer room environment and network copying, and the digital watermarking technology is applied to electronic operations against plagiarism. In network condition, vector space algorithm and edit distance algorithm is used to judge the similarity between electronic assignments and related documents. In the two years of teaching practice, we also strengthened credit education and reformed teaching methods, the percentage of plagiarism was decreased obviously.
A New Virtual Visual Servo Algorithm
Authors: Li Meng , Wang Xiao Nian , Zhu Jin
Published: July 2014

In this paper, on the basis of the robot visual servo system, a virtual visual servo algorithm for pose estimation is put forward. By reducing the image error between the current image features of real object and the features of virtual models, the rotation and translation relation of the virtual model is changed by visual servo control law, until the pose of virtual model overlaps the one of real object, and then object pose estimation is obtained. In addition, RANSAC algorithm is also introduced to improve the robustness of the proposed algorithm. Finally the experiment about camera external parameters estimation shows that our algorithm gets better results than the available parameter estimation algorithms.
Stock Price Prediction Model Based on IWO Neural Network and its Applications
Authors: Liu Hong , Lv Xiao Yan
Published: July 2014

In view of the deficiency of the standard back-propagation algorithm based on steepest descent method, a new kind of optimization strategy called invasive weed optimization (IWO) algorithm is introduced into the training process of feed-forward neural networks, and then a prediction model based on IWO feed-forward neural network (IWO-NN) is given. By the dynamic adjustment of standard deviation of the distribution of offspring individuals in IWO, the local convergence speed of networks is improved and the defect of trapping into a local optimum is reduced. By the empirical study of stock price prediction in Sany Heavy Industry, the results show that this method has better global astringency, robustness, and it is insensitive to initial values.
Preparation of a Novel Magnetic Stir Bar for the Pretreatment of the Plasticizers in Lake Water
Authors: Feng Rui
Published: July 2014

An in-situ polymerization method was used for the preparation of a novel stir bar based on neodymium magnet (Nd2Fe14B) powders. The processes were carried out by several steps including the enwrapping of Nd2Fe14B, the modification of the enclosed Nd2Fe14B, and the form of organic polymers on the surface of the modified powders. It was successfully used to enrich the plasticizers in water sample by stir bar sorptive extraction (SBSE). The experimental conditions for SBSE, such as the choice of extraction sorvents, salt concentration, extraction and desorption time were optimized in detail. Coupled to high performance liquid chromatography (HPLC), the recoveries of dibutyl phthalate (DBP), dimethyl phthalate (DMP), diethyl phthalate (DEP) were 89.2%~92.1%, 91.9%~96.6% and 94.3%~96.7%, respectively; the linear relationships between the concentration 5 μg/L and 800 μg/L for DBP were obtained; the limits of detection ranged from 0.09 μg/L to 0.21 μg/L in the optimal conditions.
Kink-Type Solutions of the MKdV Lattice Equation with an Arbitrary Function
Authors: Zhang Sheng , Zhou Ying Ying , Cai Bin
Published: July 2014

In this paper, the exp-function method is improved for constructing exact solutions of nonlinear differential-difference equations with variable coefficients. To illustrate the validity and advantages of the improved method, the mKdV lattice equation with an arbitrary function is considered. As a result, kink-type solutions are obtained which possess rich spatial structures. It is shown that the improved exp-function method can be applied to some other nonlinear differential-difference equations with variable coefficients.
Convergence Speed of Multi-Objective Generalized Ant Colony Optimization Algorithm
Authors: Zhang Dai Yuan , Fu Peng
Published: July 2014

Multi-objective optimization problems are very important, but it is hard to optimized or solved. Generalized ant colony optimization (GACO) algorithm is a new kind of ant colony optimization (ACO) algorithm developed in recent years. In this paper, we try to combine Multi-objective optimization problems with GACO algorithm, established a model for multi-objective GACO algorithm by absorbing state Markov chain, and present a method for estimating the convergence speed of multi-objective GACO algorithm. Simulation results show that the convergence speed of multi-objective GACO algorithm is faster than traditional multi-objective ACO algorithm.
Application of Improved ANT Algorithm to Planning of Anti-Ship Cruise Missile Route
Authors: Yu Yong Tao , Ding Ying
Published: July 2014

Anti-ship cruise missile (ASCM) attack route meets the needs of the attack mission will determine the effect of the subsequent attacks. According to research planning of anti-ship cruise missile route based on improved ANT algorithm by elitist strategy. The first is sensitive factor analysis of route planning based on operational requirements. Second is established an objective function and constraints set of route planning, achieved anti-ship cruise missile route planning model. Finally, based on specific objectives, situation and the user's strategies, it can use improved ANT algorithm to plan anti-ship cruise route.
Application of Improved Intuitionistic Fuzzy for Sea-Battlefield Situation Assessment
Authors: Yu Yong Tao , Ding Ying
Published: July 2014

Maritime Operations Command premise is a scientific and efficient assessment of the dynamic and varied sea-battlefield. According to research sea-battlefield situation assessment based on improved intuitionistic fuzzy algorithm based on projection. First is based on intuitionistic fuzzy to establish the sea-battlefield situation information matrix. Second is establishing the sea-battlefield assessment criterion vector. Finally, based on the theory of projection, it can compute the proximity of sea-battlefield situation information matrix and sea-battlefield assessment criterion vector, comprehensive and dynamic assess sea-battlefield in different time slices.
Imbalanced Data Classification Using Cost-Sensitive Support Vector Machine Based on Information Entropy
Authors: Duan Wei , Jing Liang , Lu Xiang Yang
Published: July 2014

As a supervised classification algorithm, Support Vector Machine (SVM) has an excellent ability in solving small samples, nonlinear and high dimensional classification problems. However, SVM is inefficient for imbalanced data sets classification. Therefore, a cost sensitive SVM (CSSVM) should be designed for imbalanced data sets classification. This paper proposes a method which constructed CSSVM based on information entropy, and in this method the information entropies of different classes of data set are used to determine the values of penalty factor of CSSVM.
Constructing Attractors via the Improved Eugenics Genetic Algorithm
Authors: Du Li Ming , Wang Feng Ying , Han Zi Yang
Published: July 2014

The paper introduces Monte Carlo method and Eugenics genetic algorithm, which be used to generate a great diversity of chaotic attractors firstly. By an analysis of their algorithms, a improved eugenics genetic algorithm is presented to avoid the "genetic drift" phenomenon in attractor graphics. A parameter vector distance limit is adopted to solve the problem and lots of experiments applying equivalent mappings of frieze group are finished to validate effectiveness for algorithm.
Fuzzy Comprehensive Evaluation Model of Selecting Football Coach
Authors: Rao Cong Jun , Dong Jin Hui
Published: July 2014

In this paper, the problem of selecting football coach is analyzed and studied. Concretely, a new index system of evaluating the football coach which includes coaching ability, team scores and personal achievement is designed, and then a comprehensive evaluation model based on fuzzy mathematics is presented to rank all candidates and to select the optimal football coach. Therefore, a novel and effective way is obtained to solve the problem of evaluating the comprehensive level of football coaches under the uncertain information.
Study on the Optimization of Data Mining in Big Data
Authors: Xin Gang , Yan Hui
Published: July 2014

This paper proposes an analysis measure for Big Data by optimizing traditional data mining, base on Weka data analyzing platform ,K-means algorithm is employed through the interface programs in Weka system, so that optimized data mining techniques can be applied in cloud storage, cloud computing of Big Data by clustering analysis base on Big Data pre-processing and real-time monitoring of memory.
Robust Exponential Stability of Stochastic Discrete-Time BAM Neural Networks with Markovian Jumping Parameters and Delays
Authors: Guo Liang Dong , Nie Jin , Zhang You Shan
Published: July 2014

The problem of robustly globally exponential stability in the mean square is investigated for stochastic uncertain discrete-time bidirectional associative memory (BAM) neural networks with time-varying delays and Markovian jumping parameters. The uncertainties are assumed to be the linear fractional form. By using Lyapunov-Krasovskii functional (LKF) method and some novel technique, a delay-dependent exponential stability criterion is established in terms of linear matrix inequalities (LMIs). A numerical example is provided to show the effectiveness and the improvement of the proposed methods.
Synthesis of Novel Cationic Asphalt Emulsifier and its Investigation by Online FTIR Spectrophotometry
Authors: Sun Mei Jie , Shi Lai Shun , Jin Zhe Ying , Li Na , Tao Xiang
Published: July 2014

A novel cationic asphalt emulsifier of N-(3-polyoxyethylene nonyl phenyl ether (10)-2-hydroxyl) propyl-N,N,N-triethyl ammonium chloride was synthesized by nonylphenol polyoxyethylene ether (NP-10), epichlorohydrin and triethylamine. The optimum reaction condition was obtained. The yield reaches 48.72% at the optimum conditions of the feedstock mole ratio of NaOH to NP-10 1.0, the mole ratio of epichlorohydrin to NP-10 1.2, the mole ratio of triethylamine to NP-10 1.2, reaction temperature 70°C, and reaction time 8 h. The structure of the emulsifier was identified by FTIR. The synthesis process was monitored by online FTIR technique and the intermediate was detected. Based upon the experimental data, a plausible reaction mechanism was proposed for the reaction. The emulsifier belongs to slow-set asphalt emulsifier.
A P2P Resource Management Model Based on Cloud Computing
Authors: Lu Yang , Liu Guang Feng
Published: July 2014

The technology of cloud computing has become a hot issue of research in the service of network in recent years. Cloud computing platform provide computing and storage services to customers. And it has been widely applied in e-business, e-education and etc.. While Cloud systems are usually hosted in large datacenters which may become a bottleneck to the system. In this paper we describe the design of a double-layer P2P model based on cloud computing. In the model, user nodes grouped into clusters form the Extended Cloud layer, and transfer file to each other without participation of the Core Cloud layer. The new model has better scalability and efficiency.
Original Silk Pre-Oxidation Treatment of Carbon Fiber from Coal Tar Pitch
Authors: Zhao Xue Fei , Wen Yi Fan , Qi Tao , Lai Shi Quan , Gao Li Juan
Published: July 2014

In the preparing process of carbon fiber, the fiber mechanical performance is affected by the pre-oxidation condition. In this paper the pre-oxidation technology condition of the original silk is researched, and the functional group in the molecule and the process of thermal gravimetric of the original silk and pre-oxidized silk are investigated by the method of infrared spectroscopy analysis and thermal gravimetric analysis. The IR analysis shows that associated hydroxyl is disappeared, Ar-H is decreased substantially, and methyl and methylene of the ring structure are changed greatly in the molecule of pre-oxidized silk. The TG analysis shows that the first weight loss temperature is increased, weight loss temperature range is moved to the higher temperature direction, the total weight loss rate is decreased, and weight loss velocity is decreased substantially. The mechanical performance of carbon fiber is affected by the pre-oxidation heating rate. When pre-oxidation heating rate is 1.5°C/min, the breaking strength of carbon fiber is 1195.84Mpa and the Young's modulus is 80Gpa.
Non-Linear Least Squares Large Misalignment Estimation in Transfer Alignment
Authors: Lu Yuan , Cheng Xiang Hong
Published: July 2014

Large misalignment is unavoidable for subsystems which could be deployed randomly on the carriers such as shipborne aircrafts, AUV. Ordinary linear filtering algorithms don’t converge fast and accurately in non-linear conditions. It's critical for the accuracy of the transfer alignment. In this paper, a new misalignment and gyroscope bias online estimation method based on angular velocity processing is presented. Sensor measurements of M-SINS and S-SINS will be recorded for a certain period. Misalignment and the gyroscope bias will be calculated from these measurements directly with non-linear least square algorithm. Trust region method with pre-conditioning, subspace and conjugate gradient are applied for faster converge and better accuracy. Simulation results demonstrate the effectiveness of the algorithm.
The Discussion on the Improved Association Rules Algorithm in Data Mining
Authors: Wen Tao , Sun Li , Zhu Li
Published: July 2014

The data mining can help to extract the information and knowledge with potential application value from a huge amount of data. In order to do the date mining scientifically and efficiently, this article provides an improved algorithm based on the classical association rules Aprior algorithm, taking advantage of which, we can engage in the association rules mining of the database to obtain the useful information. The improved algorithm avoids pattern matching and reduces the number of times of visiting the database, thus improves the speed of date mining to some extend.
A New Method of Face Modeling with Construction of Local Texture Model
Authors: Shan Jin Bao , Jiang Wei Wei , Mu Shi Le
Published: July 2014

The active shape model (ASM) is a statistical parametric model, which is mainly used in image feature extraction. On the basis of the analysis of the original ASM texture model, a new texture modeling method was proposed in this paper. The improved method fully utilized the gray level information of adjacent points in the neighborhood of sampling points, improved the original face modeling method which only used the one-dimensional gray information with model matching accuracy problems. The experiments on Weizmann face database Indicate that, the improved method can obviously improve the feature point positioning accuracy, and accelerate the speed of face model fitting.
A New Improved Attribute Weight Algorithm Based on Rough Sets Theory for One Command Information System
Authors: Yang Su Min , Yan Ying Min , Wang Kai , Xie Zhi Ying
Published: July 2014

There are various evaluation indicators in command information system. It is important to determine the weight of each indicator because it has a direct impact on the final result for evaluation and decision making. The reasonable and accurate attribute weight is helpful to ascertain the status or effect on the policy decision. With analyzing the deficiency of attribute weighting algorithms based on the rough sets theory, the new attribute weight algorithm is proposed in the paper. The proposed algorithm considers objective weight and subjective weight. The objective weight includes three factors, named as the importance of the attribute itself, the increment of mutual information, and its own information entropy. The subjective weight is obtained by the experts with prior knowledge in the field. Experiment results prove that the new method not only overcomes the deficiency of the existing weight methods, but also is more in line with the actual situation.
Research on Modeling of Brain Function Network in Major Depressive Disorder
Authors: Niu Li Min , Guo Hao , Chen Jun Jie
Published: July 2014

In order to analyze the gap of function network between Major depressive disorder and health person, this paper studies with modeling approach. This paper analyzes the function network of Major depressive disorder with the model based on anatomical distance and the number of common neighbor. The result shows that the distribution of the optimal brain function network is linear in all volunteer. And the slope of the linear relationship in the patients is less than health, so we hope this point can be as secondary evidence to determine the person whether fall ill. And we also propose two models and those models of brain function are based on anatomical distance or the number of common neighbor. Create the evaluation criteria for select the optimal brain function model network in each class model based on select the maximum value in the proportion of the common edges of two network accounted all edges. Select the model that can simulate the real brain function network by comparison with real data fMRI network. Finally, the results show the best model only is based on anatomical distance .
A Classification Algorithm of Moving Military Vehicle
Authors: Ma Yun Fei , Chen Feng
Published: July 2014

Classification of moving military vehicle in battlefield is an important part of information acquirement. Support vector machine is a pattern classification method which is suitable to solve the small sample, non-linear classification problems. This paper uses one-versus-one multi-class SVM to classify military vehicle. This method is based on multi-sensor data including noise signal, the magnetic field disturbance signal, and vibration signal. The parameters of the SVM are determined by using the cross-validation method. The Simulation experiment results show that, compared to AdaBoost algorithm and two-class SVM, the one-versus-one multi-class SVM has higher accuracy.
Simulation Analysis of Mind Sports Games Based on Artificial Intelligence
Authors: Cui Guo Wen , Li Xin Qiang
Published: July 2014

Mind sports games is rose in recent years, which is the comprehensive sports event taking the chess sports as the main part, and it is a perfect combination of human intelligence and sports art. Due to a simple history of mind sports games, there exists some problems that are the imbalance of development, lack of funds, and event organization difficulty, which has restricted the rapid development of mind sports games. Aiming at the problems of mind sports games encountering in the development, the paper first proposes the coupling development mechanism for the organization of mind sports games and its development mechanism, and then establishes the model of development mechanism based on the coupling reduction mechanism, and the model has been made simulation analysis. At last, the results show that the application of this coupling model can find the bottleneck of the development of mind sports games, so as to open the breakthrough point for its development, and to improve its development level.
Based on Canny Operator with Regional Growth Combined Research on Accurate Image Segmentation Algorithm
Authors: Miao Jia Qing
Published: July 2014

In this paper, first we introduce the digital image algorithm of Canny edge detection, and then simulation results of Canny edge detection are given particularly. Test results show that the improved algorithm improves the accuracy of edge detection effectively. Secondly, the algorithm of the region growth, which algorithm is divided into two parts: one is growing region; the other is merging region, is realized. Finally, based on above analysis, we find out that a continuous boundary is not obtained by edge detection, and the method of regional extraction may produce transition segmentation. In response to these deficiencies, we present a region growth algorithm of edge detection.