bluuebunny/crossref_metadata_2025 huggingface dataset:
Research on Noise Control of Wheel Loader and Frequency Spectrum Analysis
Authors: Zhang Qian , Jiang Fa Chao , Liu Jing Jing , Song Sen Nan
Published: August 2013

The tested wheel loader machinery noise was 110dB and driver position was 108dB, more than Chinese earth-moving machinery standard. Engine noise is the main noise, so thirty-five test points were arranged around the cab and engine to analyze and find the main noise points. The frequency spectrogram show that the main frequency band for the engine and exterior cab are 120Hz and 216Hz, and the interior cab noise was caused by the vibration of the power train passed through the frame result in resonance. Analyzed and calculated the main frequency concludes that the main noise resources are engine exhaust noise and cooling fan noise. To decrease the noise, proper damping materials were affixed to the engine hood and interior cab, the metal pieces were tightened and the cooling fan and shock absorber were replaced with new ones that match the main noise frequency.
A Novel Method of Pipeline Obstacle Detection Using Ultrasonic
Authors: Tian Feng Xia
Published: August 2013

The paper applied the ultrasonic ranging technology into the pipeline obstacle detection system. First, the article uses square waves as driver signal and the threshold detection method to estimate the distance, then replace the square wave with m-sequence because of the unsatisfactorily test results. In order to improve the accuracy of measurement, four coding and three modulation modes are combined. Taking the impulse signal as a carrier wave, construct incentive sequence and detect the obstacles, analyze the results and find out the optimal combination. Finally the reason caused the error is discussed.
A Novel Integrated Angle Measurement System
Authors: Wu Yi Fei , Wang Zhi Hong , Chen Qing Wei
Published: August 2013

A novel integrated angle measurement system is proposed, which is based on CAN bus and can solve the problem that the traditional shaft angle measurement device is sensitive to disturbances and lack of network interface. The hardware circuits are designed based on the digital signal processor (DSP) TMS320F2812 and the resolver-to-digital converter (RDC) AD2S83. In addition, an adjustable frequency circuit based on Direct Digital Synthesizer (DDS) is designed to provide a precise reference signal. The software design is also introduced. The experimental results show that the angle measurement system is reliable, high accuracy, compact and convenient to be used.
LabVIEW8.6-Based Temperature Monitoring System for Generator Bearing
Authors: Hu Qin Chun , Hu Peng
Published: August 2013

A generator bearing temperature measuring system is designed, based on the LabVIEW8.6 and virtual instrument technology, in this paper. The hardware and software implementations of the system are introduced. The system is tested and analyzed both in algorithm of linearity and filtering effect. The experimental results show that the proposed system has good characters of good stability and high accuracy, which are valuable in engineering application.
Research of Water Shortage Information Detection System for Crop Growth
Authors: Liu Yue , Yang Mei Xia , Wang Zhao Zhen , Li Meng , Chen Hui
Published: August 2013

Precision irrigation is an important subsystem of precision agriculture, which is helpful to improve the water utilization of agricultural irrigation, so as to achieve the purpose of water conservation. For the issues of crop water shortage information timely and accurately, it designed and implemented a water shortage information detection system in the growth of crop based on canopy temperature and environmental factors. The system used the STM32 processor as the core, configured a variety of sensors, acquired and processed crop canopy temperature and various kinds of crops micro-environment information, obtained crop water shortage information through crop water stress index (CWSI), so as to guide the agricultural irrigation. The test proves that the system is working in good condition, can be effective for data acquisition and processing, so as to achieve the design requirements.
Vibration Analysis of Multi-Cracked Beam Traversed by Moving Masses Using Discrete Element Technique
Authors: Alebrahim Reza , Mohamed Nik Abdullah Nik , Haris Sallehuddin Mohamed , Singh Salvinder Singh Karam
Published: August 2013

The vibration analysis of a multi-cracked beam using discrete element technique (DET) was investigated in this study. Undamped simply supported beam was traversed by moving mass with constant speed and Euler Bernoulli beam theory was considered. Cracks are located in different positions and maximum deflection of mid-span was derived and compared. The results showed that increasing numbers of cracks in the beam causes more deflection while maximum deflection of beam takes longer time to build up. The results were validated by solving the equations generated using finite element method (FEM) and their comparison with already established results from previous similar studies (literatures) showed good agreement.
Nonlinear Numerical Analysis of SRC Frame Middle Joints
Authors: Li Cheng , Zou Yun , Kong Jie , Wan Zhi Wei
Published: August 2013

Nonlinear numerical analysis for the force performance of frame middle joint is processed in this paper with the finite element software of ABAQUS. Compared with experimental results, numerical analysis results are found to be reasonable. Then the influence of factors such as shaped steel ratio and axial-load ratio are contrastively analyzed. The results show that shaped steel ratio has a greater influence on the bearing capacity and hysteretic performance of the structure, but the axial-load ratio has less influence.
Application of Optimal Algorithm on Trajectory Planning of Mechanical Arm Based on B-Spline Curve
Authors: Guo Tong Ying , Li Feng , Huang Kuan , Zhang Feng Zhong , Feng Qun
Published: August 2013

In order to improve the efficiency and practicality of trajectory planning of the mechanical arm, making the trajectory smooth and continuous, the method of B-spline curve of trajectory planning is adopted. Considering the three contraint conditions: the speed, the acceleration and the change rate of acceleration, the time interval of each curve is optimized using PSO (particle swarm optimization) algorithm. Simulation results show the PSO algorithm can reduce the time interval of each curve. This means that this method can effectively improve the operating efficiency of the mechanical arm.
Serration Design and Simulation of Gear Plunge Shaving Cutter
Authors: Chang Shinn Liang , Huang Chien Kai , Doan Khac Hiep , Liu Jia Hung
Published: August 2013

Now, plunge shaving process is becoming a common method in gearing manufacture. Serration design and parameters adjustment for shaving cutter require considerable experiences and time. By combining Visual Basic and Solidworks API, this study proposes a new method to quickly simulate the shaving process and get final work gear profile easily.
Optimization of Spillway Weir to Mitigate Gas Entrainment in a Fast Reactor
Authors: Senthilkumar G. , Ramachandran S.
Published: August 2013

The uniform cooling of Main vessel in prototype fast breeder reactor to ensure its integrity at all operating conditions is achieved by Spillway weir as non uniform cooling of vessel leads to radioactivity problems. Liquid sodium at 670K is used to cool the main vessel. Sodium is divided as hot pool (820K) and cold pool (670K) by inner vessel. The temperature difference between hot and cold pools is 150K. The main vessel is just 300mm distance from the inner vessel for a height of 4m. Due to this small gap and very less temperature difference between the hot and cold pool the main vessel temperature increases close to that of hot pool (820K). The main vessel is made up of SS-316, for which the creep region is 753K. Hence the uniform cooling of main vessel is essential by sodium leaking from subassemblies. The objective of the paper is to describe how the spillway weir system is used to achieve uniform cooling of main vessel and also to avoid flow separation as it leads to large scale entrainment of argon cover gas and also to avoid thermal asymmetry in main vessel and gas entrainment phenomenon as high impact velocity of falling sodium would cause large scale argon gas entrainment. Considering the Froude Number between the model and prototype, sodium is simulated by water and argon is simulated by air.
Phase Transformation Behavior during Continuous Cooling of Fe-C-Mn-Si Multiphase Steels
Authors: Li Zhuang , Wu Di , Lv Wei , Shao Ming Fu
Published: August 2013

In the present paper, controlled cooling of Fe-C-Mn-Si multiphase steel was conducted by a laboratory hot rolling mill. The results show that polygonal ferrite, granular bainite and the stable retained austenite can be obtained through hot deformation and subsequent two steps cooling pattern. The amount of ferrite increased with the duration of intermediate air cooling during controlled cooling. The formation of the bainitic ferrite resulted in the carbon concentration enrichment in austenite further during the simulated coiling. This increases the stability of the remaining austenite. Satisfactory mechanical properties can be obtained through hot rolling process and two steps cooling pattern in this work due to the TRIP effect of the stable retained austenite.
Optimal Charge and Discharge Capacity Effects of the Sintering Process on LiMn2O4 by the Solid-State Reaction Method
Authors: Liu Yen Chun , Chi Mao Chieh , Liu Ming Cheng
Published: August 2013

This study investigates the optimal charge and discharge capacity of the sintering process on the lithium battery spinel - LiMn2O4. Both Li2CO3 and Mn3O4 are utilized to synthesize the cathode material LiMn2O4 using the solid-state reaction. Cathode materials are processed to fabricate batteries at temperatures ranging from 800°C to 900°C. Test results reveal that the highest initial discharge capacity of 105.19 mAhg-1 (theoretically at 148 mAhg-1) has been obtained at the temperature of 850°C in the sintering process for synthesis of LiMn2O4. In addition, the initial discharge capacity can be increased to 140.51 mAhg-1 with both overdosing the amount of lithium by 2% and increasing the range of operating voltage. The increasing of the charge voltage ranges from 4.5V to 4.8V and reducing of the discharge voltage ranges from 3.0V to 2.8V.
Wave Propagation in Plate Covered by Periodic Damping Structures
Authors: Wang Sheng Chun , Shen Wei Dong , Xu Jia Feng , Wang Pei Wen , Li Yun
Published: August 2013

The wave propagation in plate covered by periodic damping layers is analyzed and controlled. A theoretical model is developed to describe the wave propagation characteristics and the vibrations of a plate covered by periodic damping structures with simply supported boundary condition along its longitudinal edges. The wave propagation characteristics are estimated by analyzing the transfer matrix of each cell of the resulting periodic structure. The numerical model is used to predict the dynamic response of the plates and to study their propagation and attenuation characteristics for various configurations. The presented numerical results demonstrate the simplicity and the effectiveness of the proposed treatment, which reduces the transmission of waves and the plate vibrations over specified, especially low frequency bands.
Application of Ultrafine Fly Ash in Commercial Concrete
Authors: Jia Fu Jie , Li Chang Cheng , Xu Jing Dong
Published: August 2013

Application of ultrafine fly ash grinded by low quality fly ash in commercial concrete was studied, and the studied content included fineness test, mortar strength, concrete strength, admixtures adaptability, impermeability and dry shrinkage. Results show that ultrafine fly ash grinded by low quality fly ash had a very good activity and admixtures adaptability, can greatly improve the strength and impermeability of concrete, and reduce dry shrinkage, and has good applicability in commercial concrete.
Ring Test for the Measurement of Restrained Shrinkage of Concrete
Authors: Iqbal Khan Mohammad
Published: August 2013

Shrinkage of repair material is the major factor inducing cracking in concrete repairs. Induced cracks in repair materials are due to restrained shrinkage. The ring test is commonly used to assess the potential for restrained shrinkage induced cracking due to its simplicity and versatility. The restrained ring test is becoming widely used as a standard test method to assess the potential for early-age cracking in concrete. In this investigation, a ring test set up was developed to measure the restrained shrinkage of various repair materials available in the local market. Keeping in view the importance of the local environment, two environment conditions were used; Lab Environment (Temperature 23±2°C) and the open environment of Riyadh. These environmental conditions were used taking into account the local environmental conditions. The samples were outside for almost one year and encountered all weather conditions of Riyadh. It has been observed that some materials although manufactured by highly reputed companies didnt comply fully in restrained shrinkage tests.
Effect of Plasma-Induced Ozone Treatment on the Colour Yield of Textile Fabric
Authors: Cheung H.F. , Lee Y.S. , Kan Chi Wai , Yuen C.W.M. , Yip J.
Published: August 2013

The aim of this study is to investigate the effect of plasma-induced ozone treatment on the colour yield of the textile fabric. In this study, a textile fabric with red colour was subjected to plasma-induced ozone treatment under different treatment conditions. Experimental results revealed that colour fading effect was achieved in the textile fabric but the degree of colour fading depends much on the treatment conditions. The colur fading effect was determined by the colour yield through instrumental measurement.
Manufacturing Automobile B Pillar by a Digitized Hot Stamping Production System
Authors: Liu Kai , Zhang Yi Sheng , Mo Jian Hua , Jian Li
Published: August 2013

For the manufacturing of high strength automobile body safety parts, a digitally controlled pilot production system for the hot stamping process was developed, including an electro-servo press, a numerically controlled heating furnace, a blank conveying system and a synchronized production line control system. By using the in-house developed hot stamping production system, automobile B pillars were manufactured from a proprietary high strength steel developed by Wuhan Iron and Steel (Group) Corporation. The steel blank was austenized in the furnace at 950°C for 5 min, followed by hot stamping. The overall cooling rate of the heated blank was above 35°C s-1 during the hot stamping process, which ensured a uniform martensitic microstructure with an average hardness above 460 HV1, a room temperature of tensile strength of 1489MPa and an elongation of 6.87%. The deviation of the formed part from the 3-D model is in the range between +0.623mm ~ -0.826mm.
Nitriding and Carbonitriding Influence on Stainless Steels Surface Layers Changes
Authors: Skakov Маzhyn , Kurbanbekov Sherzod , Tabieva Yerkezhan , Zamanbekuly Erkin
Published: August 2013

The structure of low-carbon steels after saturation by nitrogen and carbon in the mode of electrolytic-plasma nitriding and carbonitriding on the surface structure of austenitic stainless steel 12Cr18Ni10Ti has been studied. Optimum modes of electrolytic-plasma nitriding and carbonitriding are determined ensuring the maximum saturation of nitrogen and carbon, the microhardness of the surface. It is established, that after electrolyte-plasma processing microstructure of steel 12Cr18Ni10Ti has martensite structure. As a result of the research it is revealed that steel 12Cr18Ni10Ti after the electrolyte-plasma processing has high hardness.
Calculation of Thermal Residual Stresses in Multilayer Composite Materials
Authors: Petrushin S.I.
Published: August 2013

Determination of thermal residual stresses induced by manufacturing technology heating on the layer interfaces in multilayer composite materials has been considered. The fracture elimination condition has been proposed together with application aspects.
Research on a Quantitative Packing Weighing System of Sticky Foods
Authors: Li Zhi Fei , Xu Zhi Ling
Published: August 2013

According to the problems of slow weighing speed and low precision resulting from sticky foods caking in quantitative packing weighting, the mechanical structure, the circuit system and the software algorithm were designed in this paper. To improve the weighing speed and precision of sticky foods, the double-tube spiral feeding machine and a special structure of scale bucket were adopted in mechanical structure; a programmable AD8555 was used as weak signal amplifier of weighing sensor and a 32-bit microprocessor LP2134 was utilized as the core of the circuit system; the piecewise weighing method, FIR software filter and the differential algorithm are applied to send command to executive mechanism in program design.
The Application of Fuzzy Data Processing Technology in the Network Failure Mining
Authors: Li Lian Tian
Published: August 2013

In order to solve the coordinate problem of high redundancy and lack of stability in traditional failure mining knowledge base, this paper presents a fuzzy failure mining algorithm to realize regular acquisition in inconsistent case and purification of learning samples by the comprehensive application of fuzzy data processing technology. With characters of simplified samples, strong adaptability, high failure tolerance and not easy to fall into local minimum point, the algorithm can effectively process the diagnosis and incompatible information in network failure mining. The experiments show that the system implemented by this method improves accuracy and speed of diagnosis and has a certain application value comparing to other similar methods.
Mobile Robot Navigation Using ARTQL Algorithm with Novelty Driven Mechanism
Authors: Hu Qi Xiang , Qu Xin Yu
Published: August 2013

Q-learning algorithm is usually used for traditional mobile robot navigation. The traditional Q-learning methods have the problem of dimension disaster, which may be produced by applying Q-learning to intelligent system of continuous state-space. Besides, the learning activity and efficiency are low. In order to solve these problems, a new method called ARTQL is proposed, which combined ART2 network with the traditional Q-learning algorithm. Then, a learning mechanism called novelty driven is proposed to lead the ARTQL algorithm to learn more actively and efficiently. Through the ARTQL with novelty driven mechanism algorithm, Q-learning Agent in view of the duty which needs to complete to learn an appropriate incremental clustering of state-space model, so Agent can carry out decision-making and a two-tiers online learning of state-space model cluster in unknown environment, without any priori knowledge, through interaction with the environment unceasingly alternately to improve the control strategies, increase the learning accuracy, activity and efficiency. Finally through the mobile robot navigation simulation experiments, we show that, using the proposed algorithm, mobile robot can improve its navigation performance continuously by interactive learning with the environment with high autonomous.
Analysis and Implementation of Multifactor System Estimation
Authors: Mao Tie Zheng , Mao Ai Hua
Published: August 2013

How to find most relative factor in multifactor system and how to find the function between relative factors and result are very important. In this paper, Bayes is used to find the most relative factors, then the training dataset is clustered by AGNES(Agglomerative Nesting) , then the section polynomial fitting is used to formulate multiple function for those most relative factors. Finally, this method is applied in the eye sight analysis system, and satisfying results can be obtained.
The Role of Modelling in Agile Methodologies
Authors: Sun Zhi Wei
Published: August 2013

Modelling as a technique continually keeps important place in information system development (ISD) methodologies and is adopted for implementing systems effectively. Contrasting to modelling, agile methodology is a new concept. It aims to overcome shortcomings of early ISD methodologies. It welcomes changes and adapt to them. Meanwhile it is people-oriented. Used in the new methodologies, besides traditional roles, modelling has more critical roles in ISD methodologies.The report illustrates main roles of modelling, including traditional and new ones. Meanwhile, it also addresses idea of ISD is social with the roles of modelling.
Criteria for α-Diagonally Dominant Matrices and its Applications
Authors: Chen Qi , Li Min
Published: August 2013

How to check if a given matrix is a nonsingular matrix is important. In the recent paper, several simple criteria, as well as a necessary condition for nonsingular matrices, have been obtained. Inspired by these results, we partition the row and column index set of square matrix, construct a positive diagonal matrix according to the elements and row sum, column sum of the matrix as well, then obtain a new criterion for the nonsingular matrices, and extend the criteria of nonsingular matrices. Finally, a numerical example for the effectiveness of the proposed criterion is presented.
An Improved Algorithm for Estimating the Parameters of Polynomial-Phase Signals
Authors: Tang Peng Fei , Lin Qian Qiang , Yuan Bin , Chen Zeng Ping
Published: August 2013

This paper presents an algorithm for estimating the parameters of polynomial-phase signals (PPSs). This algorithm combines the CPF-HAF method and Radon transform, and can be referred to as the Radon-CPF-HAF method. In the proposed algorithm, the HAF is first applied on the original PPS to produce a cubic phase signal, whose parameters are then estimated by the Radon transform of the cubic phase function for the derived cubic phase signal. As involving in lower order nonlinearity, the proposed algorithm outperforms the HAF in terms of the accuracy and signal-to-noise-ratio (SNR) threshold. When multicomponent PPSs are considered, the product version of the proposed algorithm removes the identifiability problem which the product version of the CPF-HAF (PCPF-HAF) suffers from. Computer simulations have been carried out to support the theoretical results.
Application of Ontology Engineering in Simulation Verification
Authors: Chen Yong , Lin Qi
Published: August 2013

Researches on simulation are always heavily dependent on a kind of particular techniques or tools so that it is difficult to perform horizontal comparison and integration. Most of all, there is no formal description for the simulation objects, which leads to the lack of semantic support in the simulation. In order to solve these problems, it is required to apply ontology engineering to provide correctness verification of simulation and to prove the consistency of simulation project itself. A method based on ontology engineering is proposed. Based on the idea of how to apply the approach, a test is performed as to a specific simulation task in which the ontology-based method and purely experimental method are compared.
The Mixed-Restriction Solution and its Application in Augmented Reality
Authors: Feng Yan , Wang Ming Hui , Sheng Chun Yun
Published: August 2013

In this paper, an iterative method is proposed to obtain the mixed-restriction solutions of . By the iterative method, the solvability of the matrix equation can be determined automatically. And if the matrix equation is consistent, then, for any initial value, the sequence generated by the iterative method, converges to the true solution within finite iteration steps in the absence of round off errors. Also, for the special initial value, the minimum norm solution can be obtained. Finally, two numerical examples are presented to demonstrate the efficiency of the iterative method.
High-Voltage Converter Technology Applied in Coal Mining Ventilator
Authors: Wang Huai Qun , Zhang Ming Zhu
Published: August 2013

High-voltage converter technology applied in coal mining ventilator could gain a great deal of operating effectiveness and economic benefits. This paper illustrates the reformation of main ventilation system in some coal mine of Shanxi province. The defective operation conditions of previous mining ventilator and the advantage of converter control system applied in the mining ventilator are also proposed by this paper. The mathematical model of direct torque control (DTC) method used in the system is analyzed by giving dynamic model of stator flux oriented. The transformed design of converter control system with the benefits of highly enhanced energy-saving and environmental protections is involved as well as its operating statistics on energy-saving effect.
Improved Genetic Algorithms for Software Testing Cases Generation
Authors: Yang Shun Kun , Zeng Fu Ping
Published: August 2013

In order to realize the adaptive Genetic Algorithms to balance the contradiction between algorithm convergence rate and algorithm accuracy for automatic generation of software testing cases, improved Genetic Algorithms is proposed for different aspects. Orthogonal method and Equivalence partitioning are employed together to make the initial testing population more effective with more reasonable coverage; Genetic operators of Crossover and Mutation is defined adaptively by the dynamic adjustment according to multi-objective Fitness function, which can guide the testing process more properly and realize the biggest testing coverage to find more defects as far as possible. Finally, the improved Genetic Algorithm are compared and analyzed by testing one benchmark program to verify its feasibility and effectiveness.
A Hierarchical Conflict Resolution Method for Multi-Robot Path Planning
Authors: Shao Jie , Lin Hai Xia , Song Bin
Published: August 2013

Multi-robot path planning using shared resources, easily conflict, prioritisation is the shared resource conflicts to resolve an important technology. This paper presents a learning classifier based on dynamic allocation of priority methods to improve the performance of the robot team. Individual robots learn to optimize their behaviors first, and then a high-level planner robot is introduced and trained to resolve conflicts by assigning priority. The novel approach is designed for Partially Observable Markov Decision Process environments. Simulation results show that the method used to solve the conflict in multi-robot path planning is effective and improve the capacity of multi-robot path planning.
Study on an Algorithm for SAR Raw Data Compression
Authors: Zeng Shang Chun , Xie Yun Xia , Chen Yi Xian , Zhu Zhao Da
Published: August 2013

t is difficult to directly compress the raw data of synthetic aperture radar for its low relativity. In this paper, a new algorithm is put forward. Firstly range focusing is imposed to SAR raw data, which makes it have comparative high relativity, secondly a linear prediction is performed along the azimuth, lastly block adaptive quantization is used to the prediction difference series. The experiments manifest that with same bit rate, SQNR and SDNR of the algorithm proposed in this paper surpass that of BAQ algorithm. The calculation in this paper is far less than that of compression method after range focusing advised in corresponding reference. The algorithm proposed in this paper has a certain practical value.
An Error Modified Grey Theory for Forecasting International Oil Price
Authors: Yang Xiao Li , He Qiong , Yang Fen
Published: August 2013

The international oil price has fluctuated in a relatively large amplitude fluctuation in recent years, so the accurately prediction of the crude oil price is very important for a country and a company. There are a lot of means to forecast the trend of things, but if the problem is uncertain and the information is lacking, grey system theory (GST) is an efficient method. In this work we forecast the international crude oil price by using the grey system theory and creating a MATLBA program to achieve it. In order to improve the prediction accuracy, we modified the prediction results.
Design of a Fast JND Algorithm Based on Discrete Wavelet Transform and its VLSI Implementation
Authors: Liu Sheng Hui , Huang Hai , Liu Zhi Wei , Zhuang Su
Published: August 2013

The computation of JND is very complex, which makes it difficult to embed it into integrated circuits. To solve this problem, Haar-DWT based JND model is exploited and its corresponding pipeline architecture is developed in this paper. To evaluate its performance, the architecture is modeled with hardware description language, and implemented by SMIC 0.18um technology. The area of JND core is 42052 gates, which is significantly smaller than the full band JND based architecture. From the experiment results, the system goes on well at 161 MHz and achieves 78% time saving compared with the full band JND based architecture.
Simulation on 3D Computer Dynamic Cloth Simulation Process
Authors: Shen Chen , Zong Min Ying
Published: August 2013

In the process of complex cloth modelling, the cloth tissues mobile disorderly, resulting in ineffective modeling and other problems. To address the problems mentioned above, a corresponding solution is put forward. Based on the HLA development platform and Vega development platform, a 3D cloth simulation method which improves the simulation algorithm of annealing is proposed. Some related processings are performed on the cloth image, and the moving cloth issues are simulated using the improved fast cloth moving particle model to complete 3D simulation of the cloth. Experimental results show that this method can describe the complex cloth issues accurately, quickly and completely, and achieves desirable results.
The Dynamic Reliability Analysis of Cryogenic Valve Based on Man-Machine-Environment System Theory
Authors: Qin Yong Tao , Zhang Hui , Cao Wen Qing , Li Zheng Bing
Published: August 2013

For comprehensively and quantify analyzing the resource of cryogenic valve fault, improving the operating reliability of cryogenic valve, by means of the dynamic character analysis in the operation reliability of cryogenic valve, dynamic reliability influence factors of cryogenic valve are analyzed by the introduction of on man-machine-environment system theory, and a model of dynamic reliability influence of cryogenic valve is established by the quantify analyzing of man-machine-environment influence factors to evaluate the reliability of cryogenic valve and to construct operation improving measures. Finally, this method was demonstrated and validated by a sample. It has shown the proposed method can improve the benefit of dynamic reliability researching of cryogenic valve, and provide a support for adapting to complex and dynamic operating environment of cryogenic valve.
A Novel Relational Database Data Mining Method Based on Artificial Neural Network
Authors: Gou Ping Zhang , Tang Yong Zhong
Published: August 2013

This study proposed a novel relational database data mining method based on the artificial neural network. It analyzed the disadvantages of the existed data mining methods and then introduced the novel algorithm. This algorithm discovered the implicit knowledge by training the data samples in the database. This study introduced the artificial neural network method training model and algorithm, and tested the method by an example.
3D Reconstruction and Analysis Base on Shape Matching
Authors: Zhu Geng Ming , Zhou Xiao Fei
Published: August 2013

The article presents an approach to the three-dimensional reconstruction of vertebral column based on shape matching. Technique is established on the basis of marching cubes algorithm, through the rotated transformation and perspective projection toward every 3D model of vertebration, the projection drawing which is similar to the corresponding vertebration in the computed tomography is formed. Then, through the matching of the projection drawing and the corresponding vertebration in the CT, we can obtain the experimental result by adjust rotation parameters according to the matching outcome. The last step is to record the rotation parameters α, β and the translation parameters h, v, and by justifying the according parameter of the vertebration model in the standard vertebral column model based upon the circumgyrate of every vertebra and the translation parameters, the post-model of vertebration is reconstructed by means of visualization technology. The experimental result turned out that the reconstructed 3D model has a commendable matching attribute and meticulous accuracy compared with the real spinal column. Even the quality of the experimental CT is not so satisfied, the technique can still process match and reestablish the exact model column.
Empirical Analysis of the Demand for Interpretation System of World Cultural Heritage Based on Optimized Selection Model and Mathematical Physics Equations
Authors: Yang Dan
Published: August 2013

World cultural heritage is the marrow of an ethnic culture. When ethnic culture exchanges with other world cultures, how to convey cultural information efficiently and exactly to avoid cultural conflict and distortion is the problem that English interpretation system of world cultural heritage should focus on and deal with. This paper will research on the necessity of the English interpretation system of the cultural heritage firstly, then set Dujiang yan of Qingcheng mountain as an example to analyse this topic with the math modeling thought, at last put forward to build the optimization English interpretation system of Sichuan province. It will offer theory and scientific practice for this area to some extent.
Research on the Multimedia Music Courseware Design Based on Internet Resource
Authors: Wang Jin
Published: August 2013

With the advance of computer information science and technology, multimedia courseware has been widely used in the application and development of teaching practice. The multimedia music courseware has good auditory dynamic guide and vividness. It can produce very good teaching effect in the teaching process. Music lessons belong to audio-visual vocal class teaching, the abstract of course makes music teaching need to develop multimedia dynamic courseware. Music lessons belong to audio-visual vocal class teaching, the abstract of course makes music teaching need to develop multimedia dynamic courseware. According to this, the paper studies the design and development of multimedia music courseware which treats the internet resources as a platform. According to the signal theory of digital audio and spectrum and smart composer of musical notation system software, this paper converts the audio to MIDI format. Then, it processes the audio signal of the data through Fourier audio signal processing model and gets the format which is suitable to the play of multimedia music courseware. Finally, this paper establishes the interaction of multimedia music courseware and Internet resources using Dreamweaver Web development software and achieves Internet access of multimedia music courseware which provides a theoretical reference for the design and development of multimedia music courseware.
Resolving Unordered Issues for CMT-SCTP in Heterogeneous Wireless Network
Authors: Ni Ye Peng , Chen Xiao Sen , Liu Jian Bo
Published: August 2013

Concurrent Multi-path Transfer extension of the Stream Control Transport Protocol (CMT-SCTP) has great potential to improve the utilization of scarce network bandwidth resource. Traditional CMT-SCTP adopts Round Robin (RR) algorithms to carry out packet scheduling that could affect the performance of SCTP traffic as unordered issues. In this paper, we discuss the unordered issues and propose a novel packet scheduling algorithm to improve the performance in heterogeneous wireless network. Our main idea is predicting the packet arriving time and then provides a path selection strategy. Through measuring round-trip time (RTT) and available bandwidth, we achieve an algorithm to predict the arriving time of data packets on one path, then give a reasonable path selection strategy to make sure that data arrives in the right order. By using proposed algorithm, the unordered packets and receive buffer blocking are reduced. We evaluate the performance of our algorithm by comparing it with the RR algorithm and show that it can resolve several performance issues.
Research Status and Prospect on Dynamics of Tank Automotive
Authors: Li Song , Song Li Min , Liu Xiu Juan , Sun Yuan Yuan , Liu Xiao Lei
Published: August 2013

Due to tractor trailers cost-efficient features, its share in the road transport market is increasing. But its multi-axis structural design is unsatisfactory. There is poor performance and drivability problems, which greatly limiting its further development. This has become the focus of researchers. This paper elaborated the status of tankers dynamics research home and abroad. The key technology and future development direction are pointed out in the field of tankers dynamics research.
Software Reliability Assurance Technologies of Information System
Authors: Wang Hua , Meng Xian Jun
Published: August 2013

Based upon the resume and analysis of software reliability of information system, this paper sets forth software reliability assurance technologies of standardization, review, test, information feedback and control, and software engineering in brief. Moreover, the meticulous analysis and proper induction is carried through with respect to the technology applications during the periods of software life cycle. Thenceforth a primary prospect is presented.
The Way to Analysis of Spatial Association
Authors: Guo Jing , Liu De Sheng , Guo Qin
Published: August 2013

Following the continual development and maturation of the technology of association analysis, it can be used to mine the relation between spatial data. The paper introduced definition and classification of association analysis technology. It analyses the spatial Association from physics layer, link layer and act layer. Based on above, it provides the process of association analysis about spatial data.
A Method for Incomplete Data Filling Based on Power Graph in IoT
Authors: Yang Yang , Wen Xiao , Tang Peng , Liu Fang Yi
Published: August 2013

With the development of the Internet of Things, collected data from the Internet of Things include more and more incomplete data because of the network fault or the sensing terminal breakdown. A lot of incomplete data do harm to the IoT application and decision. For filling the incomplete data in IoT effectively, this paper presents a new method based on power graph, which first uses the graph power to abstract the important attributes of the objects. Then the proposed method fills the important attributes using improved method based on similarity. Experimental results show the effectiveness of our method, especially for filling the massive incomplete data in IoT.
Study on the Security of Government Portal Websites
Authors: Zhang Zhao , Yong Fang
Published: August 2013

On the basis of threat analysis, the paper proposes a security risk assessment model for government portal website. Using the model, the paper systematically analyzes the security risk of government portal websites and then explains the reason of them. To enhance the security of government portal websites, both technical and administrative strategies were proposed. Those security strategies help improve the image of the government and it plays an important role in constructing service government.
The Application of Database, Component and Framework in Software Development of General ATS
Authors: Deng Shi Jie , Luan Jun Ying , Tang Li Wei , Zhang Gao Ming
Published: August 2013

In order to settle the problems in the test software developed by the traditional ways, such as poor universality, expansibility, and capability of upgrade and so on, an open software architecture of general ATS that framework, database and component is put forward in this paper, which on the basis of the framework and component technology, combined with the basic principle of the dynamic loading mechanism and database. This architecture can greatly simplify the test system structure, reduce the complexity of test system, and increase the inherent reliability. More importantly, it can be able to implement the technical upgrade and expansion of detection range without modifying the source code, and increase the flexibility and expandability of the general ATS effectively.
The Test of Practical Network Coding
Authors: Wang Kun , Pan Yun
Published: August 2013

Network Coding is used to increase network throughput. In the network coding, network data packets will be encoded by the sender and the encoded data packets can be used by different receivers to recovery the same original data packets. This increases the network transmission efficiency. Coding on data will consume the computing resources and this becomes the bottleneck of network codings practicability. In this paper, we assume that the coding happens at the end of the network and we conduct some tests on the pc and hand-devices. Our results show that network coding can work well on current PC, and we need a native device support to make the network coding working on the hand-devices.
Information Reduction Model about Rough Set Theory
Authors: He Fei , Yang Hua Min
Published: August 2013

According to the problem that the whole data and information is always necessary, using rough set theory as a guide, making some analyses on reduction in knowledge base and information system, this paper propose a general mode structure of reduction. It shows that there are three terms in process of reduction and the most important term is definition and measure of ability.
Comparative Study on Currently Popular Network Databases
Authors: Ran Qing Yun , Zhang Jie
Published: August 2013

With the continuous expansion of the amount of data resources, network databases are becoming increasingly critical to the development of enterprises. This paper is a comparative analysis and study on the basic information, characteristics and performance of the currently popular network databases, mainly including Oracle, DB2 of IBM, Informix Dynamic Server products, Adaptive Server of Sybase and SQL Server of Software.
Research on the Network Intrusion Detection Method Introduced with the View of Quantum Optimization
Authors: Zhao Xiao Jin
Published: August 2013

In the process of network intrusion detection, the network operating data need to be counted. Then, the network intrusion detection can be performed through comparing the values of the statistical results with the threshold values of network intrusion detection sequentially. However, too large network operating data will cause the overlapping of operating data during the detection, reducing the accuracy of the network intrusion detection. In order to avoid the defect mentioned above, a large data network intrusion detection algorithm introduced with quantum optimization neural network is proposed. Through the analysis of the principal component of the data, the process of the massive network operating data can be simplified. Using the quantum neural network method, the initial threshold of network intrusion feature can be achieved, so as to provide accurate data base for the network intrusion detection. Taking the advantage of small distance parade of genetic algorithms, the threshold characteristic is optimized and the mass redundancy interference characteristic is overcome, so as to fulfill the network intrusion detection. Experimental results show that the proposed algorithm used for network intrusion detection can improve the accuracy of detection effectively and achieve satisfactory results.
Study of Practical Teaching Based on "Network Protocol Simulation System"
Authors: Leng Ling , Wang Lin
Published: August 2013

The key content for vocational and technical education is practical teaching. Therefore, it is essential to carry out simulation system software in teaching. In this paper, experimental training of analogue simulation is further studied on theoretical significance, application value, special role and system construction. At the same time, experimental training of analogue simulation is proved to realize effectively training target of professional ability for higher vocational, combined with the example of Network Protocol Simulation Teaching System adopted by the department to explain.
A Study on Distributed License Authorization System Based on Threshold Secret Sharing
Authors: Li Ying , Jiang Hong Min , Hu Tao
Published: August 2013

With the rapid popularity of P2P networks, the demand for digital rights management (DRM) in P2P mode is increasing quickly. The research on issuance of digital content licenses is the key issues in DRM. As for the centralized authorization systems, the security and the efficiency have certain defects. An improved distributed license authorization system is presented in this paper. And the nodes in the system are divided into six kinds of roles in accordance with theirs functions and a new non-interactive verifiable secret sharing protocol is introduced. Because of the adoptions of threshold secret sharing mechanism and the independent synthesis peers, the system security is improved in the transmission of digital content license and the burden of nodes is reduced in P2P networks. Each license authorization node gets the correct secret sharing by the non-interactive verifiable secret sharing protocol.
Design of Spacecraft Controller Based on Adaptive Fuzzy Sliding Mode Variable Structure
Authors: Huo Ju , Cui Jia Shan
Published: August 2013

Using of feedback linearization technique to solve the problem of traditional sliding mode control chattering. The fuzzy adaptive control and sliding mode variable structure was designed by combining a novel adaptive fuzzy sliding mode variable structure controller. Through fuzzy inference and the stability analysis based on Lyapunov function to obtain fuzzy control rules adaptive law and effective solution to the traditional sliding mode control of the need to determine the parameter perturbation and external interference supremum uncertainty. Simulation results show that this method has better stability and robustness.
A Prototyping Environment for Hardware/Software Codesign of OFDM Systems
Authors: Lu Xu Ming , Wen Wei Jie , Tan Hong Zhou
Published: August 2013

To make rapid implementation and verification for the systems becomes important in frontend Application Specific Integrated Circuits. Therefore, a field programmable gate array based hardware/software codesign prototyping environment is proposed to simulate the software implementation and verify the hardware implementation of a baseband OFDM system. The system is implemented by software and hardware partitions, respectively. The analog radio frequency front-end module helps take a full insight into the actual baseband system performance. User datagram protocol is used for data transmission between these two partitions, and hence makes a complete baseband system. With the proposed codesign environment, the software simulation is running over real wireless channels, and the hardware implemental results can be flexibly processed in real time and enhances the design efficiency.
Homogeneous Spiking Neural P Systems without Delays
Authors: Peng Xian Wu , Liu Jian Xun
Published: August 2013

Spiking neural P systems are a new class of bio-inspired computing devices incorporating the ideas of spiking neural networks into P systems. Homogeneous spiking neural P systems are a variant of spiking neural P systems, where each neuron has the same set of rules. The universality of homogeneous spiking neural P systems without delays is investigated and proved. This paper provides an answer to an open problem formulated by Zeng Xiangxiang, etal.