bluuebunny/crossref_metadata_2025 huggingface dataset:
Study on Cooling Water Temperature Simulation for Multiple Projects in Forked Bays
Authors: Zhao Hong Bo , Xu Ting , Yan Bing
Published: September 2013

Cooling water from some plant raises the water temperature. It disrupts the water environment balance, and affects the cooling efficiency of the plant. Therefore, it is important to learn the water environment temperature and predict temperature rise design outfall for feasibility of project. In the project sea area, there are some outfalls existed, so it is possible that the water temperature will be higher than the design value of the project and influence water environment further. In this paper, based on site survey data, the feasibility study are carried out by mathematic model simulation. The result shows that the byland make the water of two parts in the bay exchange rarely. The water temperature of CTA intake is below design temperature, and the water temperature of cooling water of CTA mainly influences about 1 km area that no serious influence to other intakes.
Evaluation and Policies of Information-Based Freeway Projects under Low-Carbon Economy
Authors: Li Hui , Huang Ze Bin , Zhang Jing Xiao , Gao Jie
Published: September 2013

Based on the mechanism for ECER through Electronic Toll Collection (ETC) in information-based freeway project under low-carbon economy (IFP-LCE), and on the rule for selection of evaluation indices, an index system was built for the economic evaluation. Then cost benefit analysis was used to economically evaluate ECER in information-based highway traffic projects. Finally an ETC project in a toll-gate in Xi'an was investigated to validate the feasibility of the proposed evaluation indices and method.
Research of Drying Characteristics of Thompson Seedless Grape
Authors: Dong Yan Hua , Yang Rui Yun , Wei Juan , Xue Yong , Wang Ru Xiang , Zhang Zhen Tao , Yang Lu Wei
Published: September 2013

Drying characteristics of Thomson seedless grape at different drying temperatures (45°C, 40 °C, 35 °C and 30 °C) were investigated in a Constant Temperature and Humidity Testing Machine. 8 different thin layer mathematical drying models are selected to fitting the date. The logarithmic drying model is satisfactorily to describe the drying process of grapes. In addition, this paper also calculated the moisture effective diffusivity (Deff) of Thompson seedless grape during drying process, and 45 °C has the maximum value 3.0702·10-11 m2/s. The energy of activation (Ea) is 59.03 kJ/mol. This means it will take 3279.44 kJ to remove 1kg water from the grape samples.
Analysis and Research of Monitoring and Controlling on Greenhouse Environment in Facility Agriculture
Authors: Yao Qi Guo , Liu Yu Liang
Published: September 2013

Along with the development of facility agriculture technology, the greenhouse industry constantly upgraded. Applying sensor technology, electronic technology, communication technology and network technology to regulate and control the greenhouse environmental factors will greatly boost greenhouse industry economic benefit. This paper do some research and analysis of monitoring and controlling on greenhouse environment in facility agriculture.
Application of Underground Engineering Fire Safety Evaluation Based on the Fuzzy Comprehensive Evaluation Method
Authors: Yan Shan Yu , Ding Jin
Published: September 2013

In this paper, built fire control safety evaluation index system according to the underground engineering characteristics of fire and introduce a method to determine the weighing values for assessment index. Put fuzzy comprehensive assessment method on underground engineering of fire safety assessment, then use fuzzy mathematics theory build a model of engineering of fire safety assessment fuzzy evaluation, and through the underground engineering design of fire safety assessment, to prove its scientific and effective.
Predict the Tertiary Structure of Protein with Binary Tree and Ensemble Strategy
Authors: Chen Yi Ming , Chen Yue Hui
Published: September 2013

In this paper we intend to apply a new method to predict tertiary structure. Several feature extraction methods adopted are physicochemical composition, recurrence quantification analysis (RQA) , pseudo amino acid composition (PseAA) and Distance frequency. We construct the binary tree Classification model, and adopt flexible neural tree models as the classifiers. We will train a number of based classifiers through different features extraction methods for every node of binary tree, then employ the selective ensemble method to ensemble them. 640 dataset is selected to our experiment. The predict accuracy with our method on this data set is 63.58%, higher than some other methods on the 640 datasets. So, our method is feasible and effective in some extent.
Study on Ultrasonic Assisted Laser under Liquid Processing Platform
Authors: Yao Yan Sheng , Yuan Gen Fu , Chen Xue Hui , Zhu Ying Feng
Published: September 2013

On the basis of laser-ultrasonic machining and water assisted laser combined machining methods a composite processing method of ultrasonic assisted laser under liquid is proposed. As the key of new technology, its experimental device of combined processing is designed. The device mainly consists of laser processing machine, ultrasonic vibration system (ultrasonic generator and transducer), tank and the water circulation system, fixture of specimen. By Using of finite element method nature frequency of tank with two fixtures of specimen is solved under the condition of combined processing. Analysis results show that the main device parts would work reliably under the vibration of transducer. Physical experiment under liquid proved this platform in water could transmit ultrasonic vibration to specimen and the new combined processing is promising.
The Energy Evaluation of an Office Room Combined with a Two Stage Parabolic Trough Concentrating Photovoltaic/Thermal (TTCSPV/T) and Photovoltaic (PV) Ventilated Glazing - I. Luminous Intensity Distributions Curves (LIDC)
Authors: Tsai Bor Jang , Wang Jung Chi , Chen Yu Cheng , Wei Wen Zhe
Published: September 2013

An office room combined with a two stage parabolic trough concentrating photovoltaic/thermal (TTCSPV/T) and photovoltaic (PV) ventilated glazing simulation of luminous intensity distributions curves (LIDC). Using CAD software to create three-tunnel models to reflect light at the entrance of the arc angle are 30 degrees, 37.5 degrees, and 45 degrees. These models import into the TracePro individually to make illumination analysis, and then run the overall office space TracePro brightness analysis. Choosing the best effective arc angle set run the FLUENT temperature analysis. Finally, We hope the findings of this study can help people choose their energy savings technology.
Impact Toughness Evaluation of Coir Mat Reinforced Unsaturated Polyester Composite
Authors: Yao Jia , Jiang Li Wei , Han Ping , Zhou Da Shuai
Published: September 2013

Coir mat reinforced unsaturated polyester composites have been prepared and the impact toughness has been researched, and the impact toughness model has been established based on the coir weight percentage content, the change laws of each mechanical index have been detailed, thus the optimal solutions have been put forward when the coir content was from 10 wt.% to 35 wt.%. The toughening effect of coir mat on unsaturated polyester matrix is remarkable, the non-woven needle mat of coir as the reinforced body for unsaturated polyester matrix is better than that of random distribution coir form.
Flutter Analysis of Composite Wing Using Differential Quadrature Method
Authors: Xiao Yan Ping , Yang Jun , Yang Jun Li
Published: September 2013

Considering the geometric and material coupling of a composite wing, the equations of motion are derived based on Hamilton theory. Frequencies computing and validation of a composite wing with bending-torsion coupling using differential quadrature method (DQM). And the DQM is applied to the flutter speed solution of a composite wing. The results thus obtained are then compared with some available results and a good agreement is observed. The computing time of DQM is highly improved compared with Galerkin method. Moreover, the effect of material coupling rigidity on flutter speed is analyzed and this is important to the design of composite wings.
Research on Wellbore Stability in Formation with Anisotropic Strength
Authors: Zhang Hui , Ou Fang Jun , Yin Guo Qing , Yi Jing Bing , Yuan Fang , Xie Bing , Li Chao , Zhao Wei
Published: September 2013

As most of sedimentary rocks are anisotropic, it is significant to research the impact of the anisotropy of strength on wellbore stability in drilling engineering. Particularly, in the Kuqa piedmont exploration area, the anisotropy of strength caused by various jointed surfaces, fracture surfaces and fault planes in formation cause the formation of several groups of weak low-intensity planes traversing borehole . These weak planes will become failure earlier than the rock body in the context of strong stress and high pore pressure, causing chipping, breakouts and sticking. If fractures have good permeability and drilling fluid column pressure is greater than pore pressure, loss may occur. The loss pressure would not be controlled by fracturing pressure and horizontal minimum principal stress, but it depends on the relationship between fracture occurrence and triaxial stress state. In the event of loss, the drilling fluid will flow into these weak structural planes, causing the decrease of friction between rocks and increase of wellbore instability. As a result, for strongly anisotropic formation, the collapse pressure and leakage pressure of weak planes are key factors for evaluating well drilling stability. In this study, according to the stability evaluation on the transversely isotropic rock mechanics in Keshen zone of Kuqa piedmont, the impacts of fracture development on wellbore instability is analyzed; relevant suggestions on engineering geology for the special pressure window in strong anisotropic formation are also put forward.
3D CAD Model Retrieval Based on Feature Fusion
Authors: Chen Qiang , Yu Yong Mei
Published: September 2013

Existing 3D model retrieval techniques focus on the global feature more than local detailed feature are not applicable to 3D CAD models. This paper combines the local feature and global feature to satisfy the needs of mechanical design. We first analyze the limitations of Shape Description (SD) algorithm. Then propose an automatic feature extraction technology based on the local characteristics of the curvature distribution. Next we fuse the extracted feature using a novel method. Lastly, we design an improved K-nearest neighbor algorithm to retrieve models. Experimental results indicate the efficiency and feasibility of the proposed method.
Properties of Freestanding Buckypapers with Monodispersion of Multi-Walled Carbon Nanotube Aqueous Solution
Authors: Lu Shao Wei , Zhang Chun Xu , Zeng Xian Jun , Wang Ji Jie , Nie Peng , Gao Yu
Published: September 2013

The monodispersion situation of Multi-walled carbon nanotube dispersion is vital for fabricating high quality MWCNT buckypapers with vacuum filtration method. In this paper, the MWCNT buckypapers were fabricated by surfactants Triton-X100, sonication, centrifugation, vacuum filtration, rinsing and annealing processes. Transmission electron microscopy (TEM) and Zeta potential results show the maximum achievable separation has been reached. The properties of MWCNTs buckypaper can be characterized by Scanning electron microscopy (SEM), a four-point probe, N2 adsorption isotherm, TGA-DSC methods. The results showed that the buckypaper exhibits a low surface and volume density, a high porosity and electric conductivity. The pore diameter is up to 22.02nm, no substantial mass loss below 600°C in air.
Microstructures and Mechanical Properties of AZ31+Sr+Y Magnesium Alloy Sheets Produced by Twin-Roll Casting and Sequential Hot Rolling
Authors: Yu Yan Dong , Hu Qiong , Jiang Peng
Published: September 2013

In this paper, the deformation properties of AZ31+Sr+Y magnesium alloy sheets produced by twin-roll casting (TRC) and sequential hot rolling were studied by the tensile testing at a strain rate of 7×10-4s-1and various temperatures: room temperature (RT), 200°C, 300°C and 400°C, respectively. The result shows that the microstructure of AZ31+Sr+Y alloy was refined obviously by adding elements Sr and Y, the elongation of the alloy increased with increasing temperature, and the fracture behavior of the alloy changed from brittle fracture to ductile fracture with increasing temperature. During the process of plastic deformation of AZ31+Sr+Y alloy, the twin plays a leading role at room temperature; the dislocation movement is regarded as the main deformation mechanism at 200° C; at the higher temperature (above 300°C) the grain boundary slip (GBS) plays a dominant role .
Technology to Reducing the Oxygen Content in Coupler Castings
Authors: Zhang Tie Jun
Published: September 2013

t is very important to produce coupler steel castings with low oxygen content and the exact aluminum residuals. Low and inconsistent aluminum elemental recovery problems are often encountered when adding aluminum strips or lumps into the baths of 25MnCrNiMo steel. This is the case because aluminum presents some of the following characteristics: low melting point, lower density much more than the molten steel, low solubility in the liquid steel, high affinity due to oxygen. These circumstances lead to difficulties or risks, such as: poor or erratic recovery of alloying aluminum element, oxygen content in casting out of range, violent and dangerous splashing. To counter these problems existed in conventional method, aluminum wire injection process was introduced in this work, and the effects of aluminum wire feeding are investigated. The results show when using the aluminum wire injection, stable cleaner steel melt is obtained, i.e. oxygen content and the aluminum residuals are under control accurately, and what's more, the recovery of the aluminum is 95%. The treatment time was about 1 minute, and the melting period was shortened. Favorable metallurgical achievements and economical benefits were gained.
Finite Element Simulation of Abrasive Wear and Study of Wear Resistance of Material
Authors: Fan Yu Jin , Li Zhe Kun , Han Teng , Wang Wei Da
Published: September 2013

This paper presented the abrasive wear process of a particle pressing into the material and sliding on the surface simulated by finite element method to reveal wear characteristics and effect factors. The contact stress and surface deformation of material were indicated and material wear resistance was studied, it was found that the stress and the deformation of subsurface not only depends on mechanical properties of material and original surface shape, but also on deformed surface profile due to sliding. In order to prove the effects of material yield stress and deformation harden property on surface deformation and abrasion resistance property, the abrasive wear of three kinds of carbon steel were taken for examples, the simulation results were presented that the larger yield stress of carbon steel, the less surface deformation and the better abrasion resistance property when a particle sliding on the surface. The simulation results also shown that the deformation harden of carbon steel could reduce surface deformation, but couldnt always improve abrasion resistance property.
Parameters Optimization of Fan-Shaped AZ31 Magnesium Alloy in Extrusion Process
Authors: Yu Yan Dong , Li Cai Xia , Xi Hai Xia
Published: September 2013

It was simulated with rigid viscoplastic finite element theory for fan-shaped profile extrusion process of AZ31 magnesium alloy, and analyzed the distortion mesh of the various stages of the extrusion process and obtained the speed field, stress field and strain field in inner workpiece during the deformation course. Appiying to orthogonal experimental method, we carried out nine simulations with the different extrusion ratio, extrusion temperature and extrusion speed. The above three main factors impacted the organization of the extrusion products, designed into three levels respectively. It was used the mean-square deviation of effective stress at the die orifice during the extrusion forming to determine the best technical parameters. With the best technical parameters and normal technical parameters obtained above, we had a extrusion test and observed the microstructure of extrusion products.
Research on Method of Anti-Fuzzy for Qualitative Evaluation Index of Materiel Support Plan
Authors: Zhou Wei Zhu , Huan Jing
Published: September 2013

To solve the problem of difficulty to get accurate value of qualitative evaluation index of materiel support plan in work phase, and it is difficult to get expertise of experts which full of subjective in weight ascertaining sometimes, the paper introduce fuzzy theory to the process of materiel support plan evaluation, give membership function of qualitative evaluation index, on the base of membership function, remove fuzzy of the index by the method of barycenter, calculate the offset with genetic algorithm. By using the data of materiel support plan to train and predict, the value of the index get by this method are accurately. The result can be a useful consult for evaluate materiel support plan.
A Case-Based Reasoning Approach to University-Industry Problem-Solving Knowledge Repository
Authors: Yang Hong Yan
Published: September 2013

This paper applies case-based reasoning approach in university-industry problem-solving to solve problems emerged in knowledge flow when companies cooperate with universities. Solve the problems or conflicts in this domain are very important for companies, because these will decide whether companies could get competitive advantages or not. Capturing and preserving past experiences and knowledge of individuals in company by CBR will form corporate memory which facilitates the cooperation. Case structure and case features are presented in this paper.
Research on How to Work out Equipment Technical Data
Authors: Zhu Xue Zheng , Nie Kun Lin , Li Jing Hui , Hao Hui , Li Yan , Kuang Dong
Published: September 2013

Scientific and logical planning of technical data, which is the foundation to equip technical data efficiently, is an effective way to quickly transfer the equipment into combat effectiveness and support capability. With the transformation of war pattern and increase of equipment complexity, the critical role of equipment technical data in equipment support has become increasingly prominent. This paper focuses on the effective way to work out systematic planning method of equipment technical data. Beginning with equipment technical data concept and status, the paper studies the general idea of equipment technical data planning, makes deep analysis of specific planning process, and puts forward an instructive output model. It is expected to offer an instruction to scientific planning of equipment technical data, so as to accelerate transformation of new equipment into combat effectiveness, and improve equipment support capacity.
Research on Prediction Model of the Impact of New Telecom Services Tariff Based on the Customer Choice Behavior
Authors: Jiang Xin Kuang , Chen Xu
Published: September 2013

This paper studies the impact of new telecom services tariff on the customers inside (customers who have ever chosen the original telecom service packages) and the revenue variation from the perspective of utility and customer choice behavior. On the basis of the quantification of telecom services tariff, a measurement model is built through multi-nominal logit (MNL) choice rule to predict the impact. Important indicators such as utility of service packages, transfer probability of the customers inside and expected change of revenue are obtained, which are useful for market orientation, revenue prediction and optimization management of the new telecom services tariff.
Research on the Profit Distribution of Logistics Company Strategic Alliance Based on Shapley Value
Authors: Huang You Fang , Ye Wei Long , Zhou Fei Fei
Published: September 2013

Strategic alliance is an important business mode for Chinese logistics companies internationalization, and the profit distribution among companies is the key issue maintaining the alliances stability. This article tries to solve the profit distribution issues in the international strategic alliance based on Shapley value, meanwhile, points out the problems still remain in the original model, establishes a new model by revising Shapley value method based on considering elements including risks, investments, extra contribution and company capability. The new model has been tested and verified, and can ensure more reasonable profit distribution among alliance members, and can benefit the persistency of the alliance.
Construction of Industrial Strategy Model Based on the Multi-Agent
Authors: Zhu Ya Dong
Published: September 2013

In this paper, considering the complexity of the industrial strategy and uncertainty of the environment, Multi-agent system based on intelligent agent is put forward, and the model to be used in industrial strategic management and group decision support system is constructed.
The Aerodynamic Characteristics of Winglet and Effect on the Performance of the Flight
Authors: Liu Xiu Juan , Wang Chun Guang , Ming Lei , Hu Tie Yu , Yu Jin
Published: September 2013

Winglet is a kind of advanced technology. It is similar to the small wings of the wing surface, below approximately perpendicular to the wing surface, as long as the curvature and installation direction of winglet matched the local airflow properly, the winglet on the inward side force can inhibit the airplane wing tip vortex, reduce the induced drag. This paper introduces the cause of induced drag and the aerodynamic characteristics of the winglet,Further discusses the influence on plane flight performance, including level flight ,climbing and gliding. This knowledge will be of practical significance for guiding flight.
Stiffness Simulation Analysis of Rubber Bush Mountings Subjected to Tilting Deflection
Authors: Qin Bai , Wu Chao , Zhang Bo , Wang Quan Fu , Ji Ya Juan
Published: September 2013

The finite element model of rubber bush mountings is built up. And the value of the reduced tilting stiffness is obtained directly by solving the model. The simulation data and the experimental data can be seen to agree very closely. This fully proves the reliability of the simulation model. Based on this simulation model, which has been parameterized, the influence of the axial length and inner and outer radii on the reduced tilting stiffness of rubber bush is studied by using the co-simulation of MATLAB and ANSYS.
Study on Lateral Stability of Vehicle-Trailer System Based on Multi-Body Dynamic Simulation
Authors: Ren Ai Jun , Wu Zhi Cheng , Bao Jie
Published: September 2013

With a classical 4 degrees of freedom linear dynamic model of vehicle-trailer system in the yaw plane, preliminary study on lateral stability is carried out by means of analyzing systems damping ratio. The results show that structural parameters have important influence on lateral stability of vehicle-trailer system. Based on that study, a concept of critical velocity with zero damping ratio as an index is present. With the help of MSC.ADAMS, a multi-body dynamic model of a real vehicle-trailer system is built subsequently and the dynamic responses of vehicle-trailer system running on flat road and rough road is simulated respectively. The simulation results indicated that the characteristics of lateral stability of both of the linear dynamic model and the multi-body dynamic model running on flat road are similar. The critical velocity of multi-body dynamic model running on rough road decreases due to the disturbance from road. Since effects of road, nonlinear wheels, suspension structure and load transfer are taken into consideration, multi-body dynamic model of vehicle-trailer system running on the rough road could be more perfectly characterizing the lateral stability of vehicle-trailer system.
The Vibration Analysis of Five Degrees of Freedom Man-Vehicle-Road Coupled Model
Authors: Shi Pei Cheng , Xie Wen Chen
Published: September 2013

The 5-DOF man-vehicle-road coupled vibration model is established by the relationship among three interactions of man-vehicle-road and the vibration differential equation of the 5-DOF man-vehicle-road model is obtained by Newtons method. The mathematical model is conversed into the derived simulation model based on MATLAB/SIMULINK software. The vibration characteristics of the 5-DOF couple model are analyzed by the excitations of ride speed and random road surface roughness time series since the corresponding parameters have been set. The paper demonstrates the acceleration curves and their response characteristics of the bodywork and man-chair system. The study results have a guiding significance and reference value to analyze the vehicle ride comfort.
Finite Element Analysis of Automobile Transmission Shaft
Authors: Yin Jie , He Jun , Zhou Su Ping , Huang Wei
Published: September 2013

Transmission shaft is an important component of automotive transmission, parts of which are facing the problem of fatigue failure. This paper mainly analyzed the performance of the transmission shaft based on finite element method. Firstly, stress contour is obtained of the shaft. secondly, get the fatigue performance according to material S-N curve. Finally, The dynamic characteristics including vibration modal and frequency response are analyzed. The results can provide reference for dynamic design of transmission shaft , as well as the structure optimization design of the transmission shaft .
Simulation of Active Suspension System Based on Optimal Control
Authors: Peng Jian Kun , He Hong Wen , Lu Bing
Published: September 2013

A 7-DOFs vehicle dynamics model which includes active suspension system (ASS) is established, and a LQR controller for active suspension system was designed based on optimal control theory. The simulation models for active suspension system and passive suspension system were built, and a simulation experiment was carried out with MATLAB/Simulink Software. The simulation results show that the optimal control of active suspension system can reduce vertical, roll and pitch accelerations of sprung mass, and the vehicle ride comfort and handling stability were improved effectively.
Parameters Identification for Simplified Yaw Model of Articulated Heavy Vehicle
Authors: Nie Zhi Gen , Zong Chang Fu
Published: September 2013

In order to accurately characterize the lateral dynamic characteristics of articulated heavy vehicle, 3-dof simplified yaw model of articulated heavy vehicles is established and key parameters of models are identified by genetic algorithm. MAPs of key parameters, which the vehicle speed and steering wheel angle are independent variables for, are formed using the key identification parameters. Simulation study of dynamic state is carried out by the MAPs of key identification parameters and 3-dof simplified yaw model. That simulation result compared with Trucksim data indicates that key parameters can be accurately identified and the MAPs of key identification parameters satisfies the need of characterizing the actual state of vehicle.
A Novel Proportional Fairness Scheduling for Subcarrier Allocation in OFDM Based Relaying Systems
Authors: Fu Ya Ru , Zhu Qi
Published: September 2013

Different data rate services are expected to support for heterogeneous users in OFDM based relaying networks. And fairness of users is an important factor that cannot be neglected in the process of resource allocation, particularly for users at the cell edge. The traditional proportional fairness (PF) scheduling algorithm provides a trade-off between average throughout and fairness in wireless communication networks. This paper investigates subcarrier allocation problem of Orthogonal Frequency Division Multiplexing (OFDM) aided relaying systems with PF constraint and proposes an efficient PF scheduling priority by using the users channel condition of past scheduling time and current scheduling time more comprehensively and uniformly which can both maximize the system transmission rate and enhance the system fairness no less than traditional ones. The simulation results show the validity.
Accelerometer-Based Decision Algorithm for Detecting Strenuous Exercises on Smartphone
Authors: Zhang Nan , Li Yong Gang , Zhang Yveline
Published: September 2013

A mathematical model is established in this paper with acceleration data collected by the smartphone-based three-axis gyroscope during standing, walking, falling over and running. The activity of smartphone carriers can be detected according to the data measured by the internal accelerometer within a given time period, which is capable of deciding whether the smartphone carrier is in strenuous exercises or emergency situation. It is also a reliable and practical solution to the identification of activities in the body area network (BAN). Experimental results demonstrate that the model is effective and reliable.
Decision Variables Selection of Aluminum Electrolytic Process Based on FNN and RM
Authors: Yao Li Zhong , Li Tai Fu , Wu De Yong , Su Ying Ying , Yi Jun
Published: September 2013

To establish an accurate model of aluminum electrolytic process, an novel variable selection strategy is proposed based on the false nearest neighbors (FNN) and randomization method (RM), which is abbreviated as FR. Firstly, the FNN is used to calculate the similarity measure of the respective variable; secondly, the RM is employed to test the significance level of each variable in turn; lastly, technical energy consumption model is established to verify the proposed method. The experimental results show that the method selects the best decision-making variables. Therefore, it provides a new method for the variable selection for complex industrial process.
Application of Knowledge Based Engineering in Aeronautics Mold Parts Parametric Design
Authors: Zhao Yan Ling , Che Chun Yu , Wang Hong Bo , Yun Zi Yan , Xu Guan Hong
Published: September 2013

In the process of designing aeronautic composite mold parts, previous designing knowledge and expertise cant be well used, the cycle of parts modeling is long and its production efficiency is low. According to the classification and characteristics of aeronautic mold parts and the knowledge engineering technology, based on the fusion module in UG6.0, we establish its repository by the knowledge acquisition, knowledge representation and knowledge reasoning of aeronautic mold parts. With the UG secondary development tools, UG/Open Menuscript and UG/Open Uistyler, we develop user menu and parametric design interface of aeronautic mold parts, make good use of its designing knowledge, and fulfill the knowledge-driven parts parametric design. They satisfy the rapid design requires of aeronautic mold parts and shorten its designing cycle.
An Improved BP Algorithm and its Application
Authors: Wang Hong Chun , Song Feng , Wen Feng Wen
Published: September 2013

in order to solve the problem which standard BP algorithm didnt have a good prediction accuracy for testing samples, a L-M Bayesian regularization algorithm was proposed by improved standard BP algorithm and applied to predict the resident consumption level of Cheng du. The experimental results show the L-M Bayesian regularization algorithm neural network has a higher accuracy, a more stable performance and a stronger generalization ability than another two improved algorithms in the same conditions and has a very good effect for the forecast of resident consumption level.
Particle Matching Algorithm for 3D-PIV Based on Delaunay Triangulation
Authors: Meng Juan , Du Hai
Published: September 2013

In this paper, a new particle matching algorithm for 3D-PIV is proposed based on Delaunay triangulation and projective invariants. In the proposed algorithm, fuzzy similarity is first computed for the triangulation in the matching particle images and rough matching is executed. Then, error matching in the results of rough matching is removed based on projective invariants. Experiment results further demonstrate the effectiveness of the proposed method.
A Consensus Partial Least Squares Regression for Analysis of Near-Infrared Spectroscopy
Authors: Peng Dan , Nie Qing Chen
Published: September 2013

To improve the prediction performance of partial least square regression algorithm (PLS), the consensus strategy was applied to develop the multivariate regression model using near-infrared (NIR) spectra and named as C-PLS. Coupled with the consensus strategy, this algorithm can take the advantage of reducing dependence on single model to obtain prediction precision and stability by randomly changing the calibration set. Through an optimization of the parameters involved in the model including criterion threshold and number of sub-models, a successful model was achieved by effectively combining many sub-models with different accuracy and diversity together. To validate the C-PLS algorithm, it was applied to measure the original extract concentration of beer using NIR spectra. The experimental results showed that the prediction ability and robustness of model obtained in subsequent partial least squares calibration using consensus strategy was superior to that obtained using conventional PLS algorithm, and the root mean square error of prediction can improve by up to 45.2%, indicating that it is an efficient tool for NIR spectra regression.
Multi-Satellite Observation Scheduling Based on a Hybrid Ant Colony Optimization
Authors: Gao Ke Bin , Wu Guo Hua , Zhu Jiang Han
Published: September 2013

in this paper, we attempted to find an effective method to resolve multi-satellite observation scheduling problems. Firstly, an acyclic directed graph model for multi-satellite observation scheduling was constructed. Secondly, based on the graph model, we presented a novel hybrid ant colony optimization mixed with the iteration local search algorithm (ACO-ILS) to produce high quality schedules. At last, extensive experimental simulations demonstrated that the proposed ACO-ILS algorithm is very efficient.
Discontinuous Deformation Analysis Visualization System Based on VTK
Authors: Li Yi Nuo , Xiao Jun , Shen Zhen Ya , Wang Ying
Published: September 2013

Discontinuous Deformation Analysis (DDA) is an emerging numerical simulation technology in rock engineering field, which could be used to analyze discontinuous blocks movement. DDA has been widely used in the areas ranging from rock slope stability analysis, underground chamber constructions to earth quake loading predictions. But so far, there is no pre and post processing program for DDA algorithm. In order to make DDA more effectively meet the needs of practical projects, and analyze the computing results more clearly, effectively and conveniently, in this paper, we use an open source VTK (Visualization Toolkit) system to visualize the results of DDA, design and implement a visualization system. We also developed friendly GUI (Graphic User Interface) based on QT. Finally, we demonstrate this tool with two project examples, which will prove that the visualization system is direct, convenient and easy to extension.
Research on Roles Modeling of Intelligent Force Based on Ontology
Authors: Huan Jing , Tang Jin Guo
Published: September 2013

The role of agents is the key problems in the agent-based combat simulation system. Based on the analyses of the operation roles' characteristic in the operational organization, the meaning and relation between the role concepts such as ability, duty, position and rules were analyzed. Uses these concepts and relations, propose the role's model of operation military in the battlefield. Defined the concept of the role, relation and axiom, and according with the logical formalized description, establish the role model based on ontology. Then the application of ontology in agents role modeling was detailed discussed in the background of cooperative anti-submarine warfare.
Bistatic RCS of Electrically-Large Objects Calculations with High-Order Parabolic Equation Method
Authors: Kong Meng , Chen Ming Sheng , Hu Jin Hua , Wu Xian Liang , Cheng Yuan
Published: September 2013

A high-order parabolic equation (PE) method is applied to calculate the Bistatic RCS of two-dimensional (2-D) Electrically-large Objects. According to the shapes of objexts, Crank-Nicolson and Pade (1,0) schemes are introduced to solve the high-order PE. The numerical results demonstrate that the method not only extends the accurate angle range but also decreases the rotation times and computational time in comparison with the traditional low-order parabolic equation method.
Power System Analysis and Design of the Six-Cylinder Hydraulic Confined Piston Engine
Authors: Cheng Lian Jun , Zhang Ji Peng , Huo Wei , Zhang Tie Zhu
Published: September 2013

Hydraulic Confined Piston Engine (HCPE) is a new type of internal combustion engine which can directly convert thermal energy into hydraulic energy. Power system of the six-cylinder HCPE is studied in this paper. The power system model is built; the power system analysis and design are carried through. The new type of crank connecting rod mechanism is proposed in the six-cylinder HCPE. Fitting-curves of movement, force, and torque for the key parts are drawn to provide theoretical support for the prototype of the six-cylinder HCPE.
Research on the Interactive Technology of Reservoir 3D Display
Authors: Zhang Yan , Nie Yong Dan , Hou Jun Long , He Wen Jie
Published: September 2013

In the process of reservoir 3D modeling and display, when the data amount of the model was large, the visual model would become huge. While the oil exploration and development experts might usually pay more attention to the distribution of the cells within some layers, some areas, or some regions with specific attribute range. This article used the MeshViz and DialogViz extended module of the Open Inventor to achieve the interactive display technology including extracting slices of the 3-dimensional model and the filtering valid cells based on the specific range of the attribute value. The proposed method could extract specific slices and display the ROI region interactively, and could help the user to analyze the characteristics of three-dimensional reservoir model more efficiently.
Spectral Clustering Algorithm: MATLAB PCT-Based Parallel Design and Implementation
Authors: Yang Yu , Zhao Cheng Gui
Published: September 2013

Spectral clustering algorithms inevitable exist computational time and memory use problems for large-scale spectral clustering, owing to compute-intensive and data-intensive. We analyse the time complexity of constructing similarity matrix, doing eigendecomposition and performing k-means and exploiting SPMD parallel structure supported by MATLAB Parallel Computing Toolbox (PCT) to decrease eigendecomposition computational time. We propose using MATLAB Distributed Computing Server to parallel construct similarity matrix, whilst using t-nearest neighbors approach to reduce memory use. Ultimately, we present clustering time, clustering quality and clustering accuracy in the experiments.
A Joint Timing and Fractionally-Space Blind Equalization Algorithm
Authors: Dong Zheng , Gong Ke Xian , Ge Lin Dong
Published: September 2013

In this paper, we proposed a joint timing and fractionally-spaced blind equalization algorithm. It adopts Gardner algorithm instead of simple down-sampling in conventional fractionally-spaced equalization in order to overcome the problem of that the filter can’t compensate timing error. The simulations show that the performance of the proposed fractionally-spaced equalization algorithm is better than CMA in different SNR and in different number of channel taps.
Calculating Methods for the Irregular Hermite Interpolation Polynomial
Authors: Luo Miao , Ma Liang Liang
Published: September 2013

Based on the theory of the regular Hermite interpolation polynomial, several calculating methods including basic function, multiple difference quotients, etc., have been proposed to solve the complex irregular Hermite interpolation polynomial.
Study of the Intelligent Analysis and Prediction about Subway Passenger Flow during Large-Scale Events
Authors: Kang Jian Chu , Pang Song Song , Zhang Yan
Published: September 2013

Through analysis of historical data of subway transportation, use the model extracted from the law of normal and large-scale activities’ passenger traffic flow and combine the pattern library established by large-scale events’ attribute information, this paper describes a method that provides a way to forecast the subway traffic passenger flow when a large-scale activity will happen. Before the occurrence of large-scale activities,We analysis and forecast the in and out passenger flow for the stations ,which around the place where the large-scale activity will happen ,and the entire road network which could describe the effect of this activity to the whole network .This system able to provide passengers with a travel reference to ensure the travel speed, security and comfort, and provide an important basis for the traffic management department to realize the effective real-time scheduling .
A Collaborative Filtering Recommendation Algorithm Incorporated with Life Cycle
Authors: Zheng Chong Lin , Hao Kuang Rong , Ding Yong Sheng
Published: September 2013

Collaborative filtering recommendation algorithm is the most successful technology for recommendation systems. However, traditional collaborative filtering recommendation algorithm does not consider the change of time information. For this problem,this paper improve the algorithm with two new methods:Predict score incorporated with time information in order to reflect the user interest change; Recommend according to scores by adding the weight information determined by the item life cycle. Experimental results show that the proposed algorithm outperforms the traditional item in accuracy.
The Generalized Idempotence of Linear Combination on Generalized Three-Idemfactor and an Arbitrary Matrix
Authors: Liu Xing Xiang , Cheng Wen Ya
Published: September 2013

Generalized emfactor is an important sort of matrix, if we can ulteriorly study its characters and application, there will optimize the procedure of finding its answer. So the relevant properties discussed more and more.
Freeway Off-Ramp and Downstream Intersection Coordination Based on MLD Model and MPC Approach
Authors: Wang Li , Xiu Wei Jie , Li Zhi Jun , Zhao Li Bing
Published: September 2013

Urban traffic system is typical hybrid system. It is very difficult to coordinate the freeway off-ramp metering and downstream intersection signals which mean a special continuous-discrete-mixing traffic control model need to be considered. In this paper, taking queue length as continuous state variable, traffic signal as discrete variable and traffic count as continuous variable, Model Logic Dynamic approach is built for modeling. Then MILP optimization approach is applied to verify the rationality of the hybrid model. MATLAB simulation results show the MLD model and MILP based MPC method could be used for the coordination between off-ramp metering and downstream intersection signal very well.
Noether Theorem of a Kind of Singular Integral Equation with Hilbert Kernel on Open Arcs
Authors: Cao Li Xia
Published: September 2013

We discussed a kind of singular integral equation with Hilbert kernel on open arcs lying in a period strip. By using the method of complex functions, we obtained the extended Plemelj Formula with Hilbert kernel, and based on this, we obtained the general solutions and the solvable conditions for this kind of characteristic singular integral equation with Hilbert kernel on open arcs.
Improved Ant Colony Algorithm for Optimal Solution TSP
Authors: Zhou Tian Yuan
Published: September 2013

Based on the ant colony algorithm analysis and research, this paper proposed an improved ant colony algorithm. Through updating pheromone and optimal search strategy, then applied to the Traveling Salesman Problem (TSP), effectively improved the searching capability of the algorithm. Finally through the simulation testing and analysis, verified that the improved ant colony algorithm is effective, and has good performance.
A Triangle Division Based Point Matching for Image Registration
Authors: Chen Jian , Zeng Dan , Kang Chen , Zhang Zhi Jiang
Published: September 2013

One basic requirement of image registration is the high precision of point matching. In this paper, we present a simple and robust method to get more accurate matching points by using the structural information of divided triangles. The method initially construct triangles using Delaunay Triangulation which considering rough matched points as vertices, and then iteratively removes outliers until obtain the consensus topology structure. An algorithm called K-Nearest Neighbor Dis-ratio is also presented to avoiding mismatches. Compared with RANSAC and GTM, Our proposed method acquires more inliers and demonstrates higher matching accuracy.
Cheeger Cut Model for the Balanced Data Classification Problem
Authors: Zhang Yan Zhou , Jiang Yan , Pang Zhi Feng
Published: September 2013

In this paper we propose a numerical method based on the splitting strategy to solve the Cheeger cut model. In order to improve the classification results, we propose a new self-tuning strategy to choose a robust scaling parameter. Some numerical examples are arranged to illustrate the efficiency of our proposed method.
The Lower Bound of Density Estimation for Biased Data in Sobolev Spaces
Authors: Wang Jin Ru , Zhou Yuan
Published: September 2013

In this paper, we consider the density estimation problem from independent and identically distributed (i.i.d.) biased observations. We study the lower bound of convergence rates of density estimation over Sobolev spaces WrN(NN+) under the Lp risk by using Fanos lemma.
Differential Quadrature Method to Analyze Natural Characteristics of Buried Pipelines in Liquefaction Soil
Authors: Bao Ri Dong
Published: September 2013

On the basis of fluid-structure-interaction of the liquefaction soil, pipeline and the conveying fluid, in this paper, the differential vibration equations of the buried pipeline are deduced. The differential quadrature method (DQM) was tried to use to analyze the natural frequency of buried pipeline in liquefaction soil under the effect of flow velocity, fluid density, pressure in pipe, viscosity of pipe, axial force, elastic coefficient of the soil. Some preliminary conclusions concerning with the natural frequency of buried pipeline are also obtained. The theoretical research of the seismic effect on the pipeline in the liquefaction soil is presented.
A Comparison Study of Mathematical Models for Tolerance Analysis
Authors: Yang Jian Xin , Liu Zhen Tao , Zhao Ben
Published: September 2013

This paper reviews two major models (Small Displacement Torsor, Deviation and Clearance Domain) for 3D functional tolerance analysis and compares them. The underlying mathematical representation of geometric tolerances can be classified as inequalities and multi-variate region. The corresponding algebraic or geometric tolerance propagation mechanism of each model is briefly introduced for worst-case and statistical tolerancing. Through a comprehensive comparison of these models, this paper gives some suggestions for choosing the appropriate method for a given tolerancing problem.
A Dictionary Storage Technique for LZW Compression Algorithm
Authors: Cui Fang Song , Cheng Guo Zhong , Pan Da Zhi
Published: September 2013

The LZW is an effective and adaptive data compression algorithm, but during the encoding process, the entries in the dictionary would store characters that have been stored leading to waste memory resources, so this paper presents a improved algorithm for LZW compression algorithm. On the one hand, the content of the source file is transformed into 01 character string; on the other hand, adopting binary tree structure to store the entries of the dictionary. There are some simulation experiments for different sizes files, the results show that the improved LZW algorithm overcomes effectively the shortcoming in dictionary storage structure of the original algorithm.