bluuebunny/crossref_metadata_2025 huggingface dataset:
Simulation of Neural Network Recognizing Isolated Words under MATLAB Environment
Authors: Zhao Feng
Published: July 2014

In order to overcome the defects and limitations of the application of HMM in voice recognition, neural network is introduced into voice recognition. Also the model theory of the neural network and its characteristics are also considered in the paper’s study which mainly focuses on the application of neural network in voice recognition. Based on studies of BP neural network, the paper establishes the voice recognition model and algorithm for the recognition of isolated words under MATLAB environment, and elaborates on the specific process of realization and the results of the simulation experiment.
The MapReduce Parallel Study of KNN Algorithm
Authors: Wang Chun Ye , Zhou Xiao Feng
Published: July 2014

Although the parallelization KNN algorithm improves the classification efficiency of the algorithm, the calculation of the parallel algorithms increases with the increasing of the training sample data scale, affecting the classification efficiency of the algorithm. Aiming at this shortage, this paper will improve the original parallelization KNN algorithm in the MapReduce model, adding the text pretreatment process to improve the classification efficiency of the algorithm.
Stepped Cooling Control Model Based on Optimal Algorithm
Authors: Yan Zhu Wen , Bu Hen An , Ma Geng Sheng , Zhang Dian Hua
Published: July 2014

A 1450mm cold rolling mill roll stepped cooling control technology has been studied. The basic principle of stepped cooling control has been analyzed. The important role of stepped cooling control in the control of thermal crown has been elaborated. In order to analyze impact of stepped cooling on the sectional shape of the strip, the roll under the influence of the cooling water temperature field has been established. The model of optimal cooling capacity in each segment has been established. The model has been successfully applied to a 1450mm cold rolling mill roll, and a good effect has been achieved.
Cluster Center Initialization Parallel Algorithm for K-Means Algorithm
Authors: Yan Bo , Zhang Ye , Su Hong Yi , Zheng Hong
Published: July 2014

K-Means algorithm is a one of the most famous unsupervised clustering algorithm. It has many disadvantages, such as sensitivity to the initial clustering centers and computes all the data points multiple times when facing the increasing data volume. In order to overcome the above limitations, this paper proposes to make use of density idea to find k cluster centers by adjusting the threshold. Finally, we design and implementation of the K-Means algorithm on the modern Graphic Processing Unit (GPU). The ratio of distance between classes to distance within classes and speedup are used as evaluation criteria. The experiments indicate that the proposed algorithm significantly improves the stability and efficiency of K-Means algorithm.
A Semantic Retrieval Method Based on Ontology
Authors: Shen Qi , Zhang Meng
Published: July 2014

Semantic retrieval method stands at the crossroads between Natural Language Processing and Machine Intelligent. This paper makes analysis on the semantic search method and research on concept similarity algorithm, and discusses the factor of weight’s influence on concept similarity as well. On this basis, this paper proposed a new semantic search method based on ontology, and apply it to the tourism information retrieval, which intellectualized tourism information retrieval service.
Ideological and Political Education Linear Regression Theory
Authors: Zhang Meng
Published: July 2014

The paper presents a valid and efficient method to teach ideological and political education courses in linear regression analysis. It includes theory and practice parts, where interactive learning methodologies are created. It adopts case-study teaching, since this teaching method effectively integrates theoretical teaching and practical teaching. The lectures should be not an exhaustive review of regression methodology, but they should focus on how the regression models derived. Moreover, the teacher should pay more attention to the theoretical aspects of models rather than to their implementation using software. Students work in teams of three or four on a problem presented by teachers and choose relevant software to carry out their own projects. Feedback from students indicates that this method of teaching improves students' class attendance and greatly increases their interest in learning.
Communication Network Alarm Correlation Based on the Confidence Fusion Algorithm
Authors: Gao Hui Sheng , Li Ying Min
Published: July 2014

In this article we achieve SDH communication network correlation analysis by the confidence fusion algorithm. We take the effect of the alarm topology relationship on the alarm timing relationship into the calculation process of confidence fusion algorithm .Thus it can get alarm correlation results more in line with objective facts. According to the correlation calculation results it forms the alarm correlation transactions, then applying the alarm correlation transactions to the alarm association rules mining. We compare the mining results with the traditional method based on sliding window. The experimental results show that the mining results are more effective after introducing the confidence fusion algorithm.
A Modified Regularized Super-Resolution Reconstruction Algorithm
Authors: Xie Qi , Chen Wei Yi
Published: July 2014

The super-resolution reconstruction technology is proposed in this paper to overcome the image degradation of shipboard optical detection system. Firstly, establish the super-resolution observation model, then analysis the inadequate of traditional regularized method through the modulation transfer function and proposed a modified regularized algorithm, experimental results shows that the proposed method has the better visual effect and objective indicators. It is a feasible method to enhance reconstruction quality of the system.
Study on an Improved Median Filtering Algorithm
Authors: Zhang Heng , Gao Min , Ren Hai Long
Published: July 2014

Median filter is a very effective method of non-linear smoothing filtering. However, the data ordering for traditional median filtering (TMF) is very time-consuming and hardly satisfy real-time image processing. This article proposes a kind of fast median filtering algorithm based on grey histogram, the filter seeks the median through the grey histogram of mask window, not the numeric sort, which decreases the comparison times. Moreover, the update of histogram by using the overlap of mask window increases the arithmetic processing speed. Meanwhile, in the proposed algorithm, the two-level self-adapting threshold comparison, with a higher precision of detection, is used to implement the inspection of noise point and improve the image quality and increase the signal-noise ratio by processing the noise point and non-noise point respectively. The experiments by matlab simulation can prove the availability of this algorithm.
Assignment Performance at Beijing South Railway Station Based on Anylogic Simulation
Authors: Liang Yan Jiao , Yuan Zhen Zhou
Published: July 2014

Assignment simulation can make a great contribution to understanding the pedestrian dynamics. Relying on the statistical data at Beijing South Railway Station, we simulate the passenger flow assigned at service establishments, provided by density parameters changing. Then, simulation result can illustrate that the passenger flow presents regular aggregation state and the density of station platform has periodic change. Furthermore, the interaction between boarding and alighting tracks and various bottlenecks are demonstrated at the platform, in which the congestion performance is applied at improving the LOS (level of service) as well as supporting passenger flow organization strategies. Finally, the proposed performances are analyzed qualitatively.
Design and Realization Based on Cloud Stack Hybrid Cloud Computing Platform
Authors: Cheng Peng , Qu Hui
Published: July 2014

While setting up the cloud computing platform by using OpenStack, there were some disadvantages such as very tedious operating steps and low efficiency. In this paper, we put forward a design and realization method based on CloudStack hybrid cloud computing platform. Firstly, we used CloudStack as tool to set up two independent cloud platforms, one of them was called public cloud and the other one private cloud. Then virtualization technology and a shared resource classification method discussed in this paper were performed to set up two virtual sub-servers on the main server and operate the cloud platform already established on it. Finally, we gave the two platforms corresponding authority, thus the hybrid cloud platform was established. This method was easy to set up and could reduce the cost effectively, therefore, it was very practical.
An Algorithm to Control Watermarking Capacity Using PSNR
Authors: Xing Yong , Wang Dao Shun
Published: July 2014

Some existing methods for estimating image watermarking capacity may degenerate the quality of stego-image when the estimated capacity is achieved. In this paper, based on the Region of Interest (ROI) model, we discuss on the capacity problem and the quality of stego-images using PSNR. Considering the trade-off between capacity and quality, our method estimates the allowable distortion for each pixel in spatial domain in terms of the specific PSNR of stego-image. Experimental results show our method ensures a good control over the capacity without introducing artifacts.
Simulation of Dynamic Compaction on Soft Soil Foundation
Authors: Pang Yi Ling , Dai Duan Ming
Published: July 2014

Aiming at soft soil foundation, this paper simulates the process of dynamic compaction on soft soil foundation by ABAQUS, and analyzes soil stress and displacement under the effect of same tamping energy on different drop height, ram. The law of consolidation on the soil foundation has been forecasted more accurately, which is more valuable for the similar project on dynamic compaction on soft soil foundation.
Research on the Traffic Rules of the Freeway
Authors: Jiang Yu Xuan
Published: July 2014

This paper mainly studies on the superiority of a driving rule of freeway. Using the theory of cellular automaton, we definite two indexes and make evaluation and analysis of the Keep-Right-Except-To-Pass rule under different traffic load conditions. At last, comparing with one of the other rules, we prove the superiority of the common rule.
A Collision Detection Algorithm Using AABB and Octree Space Division
Authors: Wang Huai Yu , Liu Shu Gui
Published: July 2014

NC lathe controls the action of the lathe through program control system, while programming mistakes may lead to collisions between NC lathe cutters and workpieces or fixtures. A collision detection system judge whether there are collisions ahead of time by means of reading the information of shape and pose of objects in processing environment, building a space model using CSG and acquring the movement intension of objects. Dividing the modeling space into space nodes using octree, building AABBs of objects to be tested and locating them at certain space nodes, only objects at the same node or the same father node need to be tested, thus testing speed is raised.
Improved Genetic Algorithm in Vehicle Management
Authors: Zhu Shan Hong , Kuang Tao
Published: July 2014

As the development of world economy, demand of logistics industry is getting more complex. Vehicle management dispatcher is an important part in logistic system, so how to realize the reasonable dispatcher of vehicles under the circumstance of multi-resources-constrain is the key issue in promoting the prosperity and development of modern logistics industry. The traditional genetic algorithm has the disadvantages that hinder the development and promotion of vehicle dispatcher and slow retard the development speed of logistics industry. Through the research of vehicle dispatcher's demand, we have put forward a new genetic algorithm which is improved, effective and adept to the normal vehicle dispatcher. We have proved that this algorithm is feasible and effective by analyzing the examples.
Coupling Sentiment Dictionary and SVM Classification for Text Orientation Analysis
Authors: Gao Ming Ze , Li Fang Fang , Ding Zhe Yuan , Xiao Wei Dong
Published: July 2014

Sentiment classification finds various applications in opinion mining, which can help users determine sentiment tendency of texts and information. In this paper, we consider the problem of text orientation analysis. In particular, we propose a two-stage approach by coupling sentiment dictionary and classification methods. In the first stage, we build sentiment dictionary and rules to obtain the texts whose emotional scores are ranked in the top 1/4 and the bottom 1/4. These texts are marked classified for supervising the second stage. In the second stage, we employ the SVM classifier to process the remaining texts. Finally, we combine the two stages to get the orientation analysis results for all the texts. Experimental results demonstrate that, in contrast to using sentiment dictionary and classification method separately, our proposed method achieves higher classification accuracy when an initial training set by manual tagging is unavailable.
Research on the Optimization of the Storage Strategy of HDFS
Authors: Cao Hui
Published: July 2014

The storage of the massive data puts forward higher requirements in quantity and quality of hardware so that the cost of hardware rises. We have to use software for weakening the requirements of hardware. HDFS is just born for solving the massive data storage. Through the analysis of the files of the organization, storage mode, storage technology etc. this paper presents the optimization of data storage strategy of HDFS and the description of the optimization algorithm.
ZFDV: Zoom Financial Data Visualization in the Era of Big Data
Authors: Jiang Ting Ting , Wang Qing Gang , Zhang Hai Kuo , Xiao Wei Dong , Zhang Chong , Ge Bing
Published: July 2014

With the advent of the era of big data, data visualization display faces great challenges. Big data, especially in industries such as telecommunications, finance, almost to the point of "data is the business itself". At this time, in order to let more people understand, use and analyze the data better, we proposed the method to display the big data in the field of finance and the notion of the Zoom financial data visualization (ZFDV). By providing a consistent set of the preliminary design of ZFDV and the interaction of ZFDV techniques, ZFDV makes it possible for users to browse through very large data sets. These techniques use the structure of the displayed data to guide the human-interaction and provide a way to improve interactive navigation in the financial.
A New Analysis of the Iterative Threshold Algorithm for RPCA by Primal-Dual Method
Authors: Fan Ru Ya , Wang Hong Xia , Zhang Hui
Published: July 2014

This paper studies the iterative threshold algorithm (ITA) for solving the Robust Principal Component Analysis (RPCA) problems, which is to recover a low-rank matrix with a fraction of its entries being arbitrarily corrupted. By utilizing the primal-dual method, we analyze the ITA in a new way and prove that the ITA is essentially equivalent to gradient method applying to a dual problem. In the original ITA, it is hard to choose the parameters and hence it converges very slowly. Now, based on the new insight, existing techniques of the gradient method can be used to accelerate the ITA. We combine the theoretical derivation with the numerical simulation experiments to give an empirical guidance to set the parameters. As illustration, background modeling problem is solved by the ITA with optimal parameters.
Robot Path Planning Based on Artificial Fish Swarm Algorithm under a Known Environment
Authors: Wang Jian , Wu Li Juan
Published: July 2014

With the development of science, the scope of application of robot is more and more extensive. The path planning problem of mobile robot ,has been always an important research content of intelligent robot .In this paper , firstly we can construct feasible work space mode , through the random grid method to given the starting point ,end point and each obstacle .Then we can use the improved AFSA for path optimization .In the algorithm ,we ignore the congestion factor ,it is based on the preying behavior ,supplemented by the following behavior and swarm behavior .
Optimization Model and Algorithm for Responsive Closed-Loop Supply Chain Logistics Network with Direct Shipment under E-Commerce
Authors: Liu Jing , Li Qi , Wu Hua Wei
Published: July 2014

In view of the characteristic of goods return in electronic commerce which some returned goods can be redistributed directly to customers after handling simply, a responsive closed-loop supply chain logistics network with integrating forward and reverse flow is researched. The returning feature of online commodity and economy of scale of return goods at initial collection point are based, and the optimization design model of closed-loop supply chain network aiming at determining the number and location of hybrid centers and initial collection points is presented, and a hybrid genetic algorithm is devised to solve the closed-loop supply chain logistics network problem. The usefulness of the proposed model and algorithm is validated by its application to an illustrative example.
Modified Differential Evolution Algorithm for Numerical Optimization Problems
Authors: Xia Hong Gang , Wang Qing Zhou
Published: July 2014

In this paper, a modified differential evolution algorithm (MDE) developed to solve unconstrained numerical optimization problems. The MDE algorithm employed random position updating and disturbance operation to replaces the traditional mutation operation. The former can rapidly enhance the convergence of the MDE, and the latter can prevent the MDE from being trapped into the local optimum effectively. Besides, we dynamic adjust the crossover rate (CR), which is aimed at further improving algorithm performance. Based on several benchmark experiment simulations, the MDE has demonstrated stronger convergence and stability than original differential (DE) algorithm and its two improved algorithms (JADE and SaDE) that reported in recent literature.
Prediction Model of Aerosol Fire Extinguishing Agent Performance Based on Combination of Genetic Algorithm and Back-Propagation Neural Network
Authors: Chen Zhi Jie , Zhu Chen Guang , Zhang Zi Hao
Published: July 2014

The aerosol fire extinguishing agent is a complex pyrotechnic composition, and the extinguishing efficiency need a series of experiments to identify. A method is put forward out based on combining back-propagation neural network and genetic algorithm (BP-GA) in this paper, and then the performance of aerosol fire extinguishing agent can be predicted in advance by the formulation. In the method, back-propagation (BP) algorithm was proposed to map the complex relationship between additive components and quality indexes of formulation. The genetic algorithm was employed to optimize the BP neural network weight and threshold. The results showed that the prediction display a satisfied consistence with the test and the error is less than 5%, and also indicated that the combining BP-GA method was an effective tool to predict the performance of aerosol fire extinguishing agent by the formulation designed.
Construction of One-Lee Weight Codes over FP+vFP+v2FP
Authors: Chen Lou , Shi Min Jia
Published: July 2014

This paper is devoted to the study of the algebraic structure of one-Lee weight codes over. We first give some necessary conditions for a code to be a one-Lee weight code over. Moreover, we present the method of the construction of one-Lee weight codes over. An example is given to illustrate the results.
Complexity Research on Second Class Orthogonal Weight Function Neural Networks
Authors: Zhang Dai Yuan , Zhao Ran
Published: July 2014

Weight function neural network is a new kind of neural network developed in recent years, which has many advantages, such as finding globe minima directly, good performance of generalization, extracting some useful information inherent in the problems and so on. Time complexity is an important measure of algorithm. This paper studies the complexity of neural network using second class orthogonal weight functions. The results indicate that the neural network has a linear relationship with the dimensions of input layer and output layer, an O (n3) relationship with the number of samples. Finally gives some simulation experiments for time complexity.
Research on Safety Comprehensive Assessment Method for Air Traffic Control Based on RBF Neural Network
Authors: Gan Xu Sheng , Li Hua Ping
Published: July 2014

To assess the safety situation in air traffic control effectively, a comprehensive assessment method based on RBF neural network is proposed. At first, the safety assessment principle based on RBF neural network is introduced, and then the safety assessment index system for air traffic control is established from four aspects of human, machine, environment and management. Simulation example of ATC safety assessment gives us a satisfactory result for RBF neural network.
On the Application of Ant Colony Neural Network for the Highway Traffic Safety Facilities System
Authors: Jia Guo Ling , Ma Rong Guo , Deng Ya Juan
Published: July 2014

Highway traffic safety facilities system evaluation plays an important role to relieve highway safety problem. From the perspective of system engineering, the influence factors of the current situation are comprehensively considered, the freeway traffic safety facilities system evaluation index system is established, and the application of ant colony neural network evaluation model is constructed. The purpose is to provide the beneficial references for freeway traffic safety facilities system evaluation.
The Evaluation to Influence Factors of Concrete Durability Based on Grey Correlation Degree Method
Authors: Su Xiao Ping , Sun Hao Yue
Published: July 2014

In this paper, under the environment of saline soil in the western region of Jilin Province, a series tests research on the durability of concrete has been made. The test results show that: there are a lot of factors that influence the durability of concrete, including the concrete itself internal factors and the external environmental factors. The correlation degrees between these influence factors and the durability of concrete are uncertain. In this paper, a grey correlation degree method has been used to analyze the correlation degrees between these influence factors and the dynamic elastic modulus loss rates of concrete, in order to determine the influence degree of each factor on the durability of concrete.
Research on Erosion Resistance of TiB2 Ceramic Particle Reinforced MMC Coating
Authors: Fang Jian Jun , Song Yun Jing , Li Zhuo Xin
Published: July 2014

The research uses electric arc spraying with low cost and convenient operation to prepare four TiB2 particle reinforced composite coatings with high bonding strength and uniform tissue. It makes comparative study on elevated temperature erosion actions of coating and 45CT of electric arc spraying. The results indicate the coating has excellent erosion wearing resistance. TiB2 particles in M-TiB2 coating have small size, have good unity with metallic matrix, and are distributed on metallic matrix with high hardness relatively uniformly, and porosity of coating is low. The coating has excellent erosion resistance.
Research on Software Demodulation of PCM/FM Algorithm Based on MSD
Authors: Fu Gang , Wu Yan Jun , Li Ren Long , Wang Li Ping
Published: July 2014

Based on maximum likelihood, research a new based on Symbol Detection (Multi-Symbol Detection, MSD) soft demodulation method of PCM/FM telemetry signals. Introduced the basic principle of the demodulation method and the implementation process, analyzed the demodulation and synchronization factors and formulate the corresponding synchronization strategies.
The Application of New Material in Industrial Design
Authors: Wang Li Li , Xie Tong Tong , Liu Yu Jie
Published: July 2014

Material is the carrier of all industrial design, which is inseparable with. Material is the material basis for human survival and development and new materials is a foundation for future world. With the development of science and technology and rapidly changing times, people have developed more new material on the basis of traditional materials. Based on gray theory of new materials evaluation system, the paper made an analysis and research on a representative of the new materials.
Research Progress of Detection Method of Sulfur in Iron-Base Alloys
Authors: Bayati M.R. , Wei Peng Yi
Published: July 2014

The paper summarizes the research progress of analytical method of sulfur element in iron-base alloys as of 2012. Major analytical methods for sulfur element in iron-base alloys include infrared absorption, photoelectric direct reading spectrometry, inductively coupled plasma atomic emission spectrometry, ion chromatography method, mass-spectrography, and electrochemical method. The paper also predicts the future trend of the analytical methods for sulfur element in iron-base alloys.
Experimental Study on Active Vibration Control of Flexible Manipulator Based on Improved PPF Algorithm
Authors: Du Fei , Ma Tian Bing
Published: July 2014

The positioning accuracy and work efficiency of flexible manipulator is seriously affected by its vibration. Therefore, vibration control of single joint flexible manipulator is studied by using an improved PPF algorithm based on LabVIEW and piezoelectric technology. Firstly, the improved PPF algorithm principle is introduced. Then, the experiment process is discussed in detail. Experimental result shows that the improved PPF algorithm can effectively control the first two modal vibration of flexible manipulator. The control effect is close to 14 dB and improved nearly 4.5 dB compared with PPF algorithm.
Nonsmooth Bifurcations in a Cracked Rotor-Active Magnetic Bearings System
Authors: Yang Feng Hong , Tong Hong Zhi
Published: July 2014

A cracked rotor-active magnetic bearings (AMB) system with the time-varying stiffness is modeled by a piecewise smooth system due to the breath of crack in a rotating shaft. The governing nonlinear equations of motion for the nonsmooth system are established and solved with the numerical method. The simulation results show that a grazing bifurcation, period-double bifurcation and chaotic motions exist in the response. These nonsmooth bifurcations can give rise to jumps between periodic motions, quasi-periodic motions and chaos.
Comparison Research on Aerodynamic Drags and Pressure Coefficients of Reference Car Models in Automotive Wind Tunnel
Authors: Zhang Ying Chao , Ding Wei , Zhang Zhe , Li Jie
Published: July 2014

The aerodynamic drags of different reference car models were investigated to calibrate the performance of the Automotive Wind Tunnel in Jilin University. The two kinds of reference models--MIRA and SAE reference car models were involved in this paper, considering the actual situation of the Automotive Wind Tunnel in Jilin University. The results of the research show that the Automotive Wind Tunnel in Jilin University can meet the demand for automotive wind tunnel tests and it can get the same performances as other wind tunnels have and reliable test data can be obtained in it.
Computing Method of Auto-Rotated Precision Index of Gun Barrel Based on Exterior Ballistic Computation
Authors: Yang Ya Dong , Ma Ji Sheng , Jia Chang Zhi
Published: July 2014

Auto-rotated precision of gun barrel is a key operation of firing, and the research of its testing method should depend on its index computing. According to discrete value in the firing table and the exterior ballistic computation based on least square polynomial fit method, the mapping function between battle sight and range dispersion was confirmed. And by analyzing the effect of offset induced by auto-rotated precision of gun barrel, the index function which could offer a data origination for the verification of testing method of auto-rotated precision of gun barrel was provided.
Research for Guide Groove Configuration of Rotary Valve
Authors: Xu Su Ying
Published: July 2014

Rotary valve is a device to achieve fast commutation hydraulic transmission . Rotary valve is driven by a hydraulic motor drive and can achieve rapid conversion of the hydraulic circuit . Rotary valve spool by a rotating shaft , housing , shafts and bearings and other components. Guide grooves machined on the spool shaft is evenly distributed for hydraulic cylinder into the oil and return oil conversion. The coordinate gap between the spool shaft and valve chamber bore Because will affect the leakage in the leak. How to improve the guide groove structure? We can put the guide groove by high and low partition instead of overlapping arrangement. Reducing leakage within the valve chamber and Meet with the requirements of the spool shaft and valve chamber bore.
A Study of Influence of Shape Technique on Radar-Scattering Characteristic for Tank Turret
Authors: Ma Yao , Xu Wei Dong , Shi Fang Mo , Liu Jun , Lu Feng , Zhu Li Yan
Published: July 2014

Radar-scattering characteristic which is an important aspect in stealth technology plays a key role in radar detection. Based on shape technique, this work studied the influence of geometric parameter on radar-scattering characteristic for a tank turret by establishing a scaled model as well as calculating the radar cross section (RCS) of this model. The results show that the tank turret can obtain better radar-scattering characteristic with much lower RCS by optimizing its shape and the dihedral angles between the tank turret and the tank body.
Current Situation and Latest Development of Intelligent Materials
Authors: Lin Guo Min , Yuan Fang , Li Yan Hua
Published: July 2014

The background and design idea of the intelligent materials is introduced. Three elements of intelligent materials are given. Then based on classifying of intelligent materials, the features and applications of intelligent materials are researched.Principle and the latest applications of typical intelligent materials such as optical fiber, shape memory alloys, shape memory polymers, piezoelectric, magnetostrictive materials, fluid material and polymer colloid are analyzed simplely. The research difficulties and the future research focuses of intelligent material are pointed out.
Overview of the Control Methods for LTCC Substrate Shrinkage
Authors: Liu Xiao Dong , Wang Shao Hong , Hou Zhao Xia , Zhou Dan , Yang Li Qiong
Published: July 2014

As a new integration and packing technology, the low temperature co-fired ceramic (LTCC) technology attracts close attention for its excellent advantages such as high speed transfer characteristics, high reliability, miniaturization, etc. However, the sintering shrinkage of LTCC substrate always affects the practical effect of it. In this paper, the material characteristics, methods to control the sintering shrinkage of LTCC substrate and the development trend for the control methods are mainly overviewed. It is contributed to the research and application of LTCC technology.
Hydraulic Vibration Exciter and Hydraulic Circuit Design Research
Authors: Yang Jia
Published: July 2014

Pressure of the liquid is used as power source of hydraulic vibration exciter. Rotary directional control valve is the realization of oiling-way veversing components . The piston is reciprocated under the influence of the change of the hydraulic. The reciprocating movement of the piston is a result of fluid pressure.Working area of the piston multiplied by the pressure of the liquid is equal to the thrust of the piston.Displacement response of the vibration exciter can be simplified to the second-order vibration systems.Elastic beam is used as limit components of piston of vibration exciter,the piston vibration waveform is a sine wave .The volume of elastic beam is smaller than the volume of fluid elastic element . The hydraulic circuit is a dual pump fuel supply circuits.Pumps are used to supply rotary valve and hydraulic cylinder .Dual pumps fuel supply system is conducive to control fluid pressure and flow of the rotary valve and vibration piston.
Synthesis of a Novel D-A Type Molecule Based on Carbazole Unit for Organic Light-Emitting Material Applications
Authors: Tang Ze Biao , Sun Xiao Xia , Yan He Wei , Miao Le Ping
Published: July 2014

A novel D-A type molecule based on carbazole central core and aldehyde terminal groups has been designed and synthesized. Optical properties of the resulting compounds were examined by means of UV-vis and fluorescence spectroscopies. It shows that, the absorption and fluorescence spectra of M2 are large red-shifted relative to M1 in both states, whereas the absorption maximum and emission maxima of M1 and M2 are small blue-shifted, from solution to the solid state. The fluorescence spectra exhibit that the emission maxima of the compounds which range from 419 nm to 472 nm belong to blue light region. As expected, the target compounds should be a promising pure blue light-emitting material for applications in organic light-emitting diodes (OLEDs).
Analysis of Aircraft Hydraulic System Failures
Authors: Zhang Wen Guang , Lin Guo Min
Published: July 2014

The hydraulic system of Aircraft is an important power organization and plays an important role in the process of airplane operation. The failures of the airplane have the character of concealment, complexity and uncertainty. So if the hydraulic system ran out of order it not only cause huge casualties and economic losses, but also has a long and low efficiency maintenance cycle. This text analyzes the common causes of the failures and the failures that newly appeared of the aircraft hydraulic systems in detailed. Some of effective solutions have been proposed which quicken accelerate the speed of fault diagnosis and improve the efficiency of aircraft maintenance.
Study of Sub-Synchronous Control Interaction (SSCI) Based on the Test Signal Method
Authors: Gao Ben Feng , Liu Jin , Zhao Shu Qiang
Published: July 2014

Large-scale wind turbine generators with power electronic converters that operate near series compensated transmission lines are susceptible to un-damped sub-synchronous oscillations. This sub-synchronous oscillation is called Sub-synchronous Control Interaction (SSCI). Based on PSCAD / EMTDC simulation platform the establishment of Double Fed Induction Generator (DFIG) equivalent inverter controlled sources and network model, and verify the correctness of the equivalent model. Analysis the impact of series compensation and rotor-side converter PI parameters characteristic of the SSCI based on test signal method and time-domain simulation method. The results show that increasing the degree of series compensation , inner gain constant increases and inner integral time decreases will help increase SSCI, outer ring of PI parameters has little effect on the SSCI .
A Calibration Method of Binocular Stereo Vision System Based on Halcon
Authors: Zhang Zhi Xian , Zhu Zhen De
Published: July 2014

This paper describes the pinhole camera model combined with an area sensor and a regular lens and the imaging model of the binocular stereo vision system. Also a method to determine the internal and external parameters of a camera by transferring the coordinates three times is described. Then a calibration experiment is carried out with the Halcon calibration board which proved the method works. The method mentioned in this paper has laid a good foundation for measuring the size of objects with the binocular stereo vision system.
Design of the Improved Accompanying Temperature Logger
Authors: Guo Juan , Liang Shi Ying , Yin Zong Tao
Published: July 2014

This paper describes research on some methods of reducing power consumption to reduce the volume accompanying logger. For the requirement of ultra-low power consumption and miniature, the design is described separately from the hardware and software, mainly including temperature detecting module, interface of communication, low current circuit hardware, energy conservation ,arouse from power down state, communication protocol, etc. The experimental tests for device prove that the research can achieve low power requirements.
The Design of Monitoring System in Large Hydraulic Press Aiming at the Precise Closed-Loop Control
Authors: Du Heng , Huang Bin , Wang Lin , Chen Shu Mei
Published: July 2014

In the research and development of the precise closed-loop control system in large hydraulic press, the touch screen and PLC are frequently applied to design, debug and test for the system. Though a better closed-loop control characteristic can be acquired after repeated testing by this way, the comprehensive state data of hydraulic press are unable to get, which leads to a long research cycle and also restricts the maintenance and upgrade with the equipment in the later period. In order to obtain the whole state information of hydraulic press easily and effectively, a monitor system of precise closed-loop control in large hydraulic press is designed. Based on reasonable cooperation of sensors and high-speed data-acquisition card, high-speed and precise signal acquisition is realized. In addition, data-acquisition software program is designed base on LabVIEW, it can achieve the functions of collecting, storing, displaying and analyzing data. Through the real measuring and analyzing on a certain large ceramic hydraulic press, the status of key parameters can be acquired effectively during the whole pressing process. So the monitoring system supplies the significant data basis to the precise closed-loop control, accelerates the design and development of high characteristic precise closed-loop control and also strongly supports to the maintenance and upgrade with the equipments in the later period.
Dynamics Analysis of Manipulator in the Hot Line
Authors: Zhang Dan Dan
Published: July 2014

The high voltage transmission lines exposed for a long time are often broken down, thus, The manipulator arm of robot in the hot line was designed, The design is reasonable through kinematical analysis. First, make sure of the connecting rod coordinates and the connecting rod's D-H parameters. Matlab was used to draw 3D model of manipulator. Use functions in the Robotics Toolbox to solve kinematics analysis.
Research on Workshop Layout Based on SLP and Witness
Authors: Cheng Qiang , Guan Tian Min , Sun Li , Jing Feng Bin
Published: July 2014

In the paper, the connecting rod production line in one workshop is taken as the research object. The workshop layout is designed by SLP algorithm. The specific work includes dividing the operating units, quantifying logistics relations and non-logistics relations, determining the importance of proportion and the integrated relationship of activities that based on the actual situation of the workshop, and then getting the plan finally. The Witness simulation is applied to simulate the theoretical analysis results and imitate the production logistics situation of the factory. Finally, the optimization scheme is determined by the comparison of several schemes in the aspects of logistics and the number of back flow.
An Intelligent Fault Monitoring System for Hydraulic Excavator
Authors: Ni Lin , Chen Xiu Sheng , Wang An Lin , Cao Shu Kun
Published: July 2014

In this paper, functions of intelligent fault monitoring system of hydraulic excavator are analyzed. Architecture of the fault monitoring system is presented. Key technologies of the monitoring system are discussed detailed. Key parts of the fault monitoring system such as inspection controller, travel controller and programmable monitor, remote monitoring system is developed. As a result, the intelligent monitoring system is of great useful for monitoring the faults of hydraulic excavator.
Comparative Study of Moving Target Analysis System
Authors: Feng Min , Du Huai Chang
Published: July 2014

This paper compares two kinds of moving target analysis systems, which are the motion history image system and the moving object tracking system. Each system includes two parts which are moving target detection and tracking, achieving respectively detection of the direction of moving targets or representation of motion trajectory. Through experiment analysis of moving human and vehicles, each system is determined which situation it is suitable for.
Studies on Backward Median Current Waveform Control Research in Pulsed MIG Welding
Authors: Zhu Qiang , Xue Jia Xiang , Zhang Xiao Li , Dong Chang Wen , Chen Zhen Sheng , Li Zhi Hui , Yao Ping
Published: July 2014

The one-droplet-per-pulse transfer is widely considered to ensure the stability of the welding process in pulsed MIG welding; a peak pulse followed by a median pulse in a square wave pulse can effectively enhance droplet transfer controllability and improve weld appearance. The instantaneous current and voltage waveforms, the probability density distributions of current and voltage, and U-I graphs collected by the waveform wavelet analyzer were used to assess the welding quality and weld bead appearance. The 1.2-mm carbon steel welding wire experiments showed that under the same conditions, using a median waveform could significantly improve the welding quality. If the median current was too small or too large, the influence on the welding process was not obvious, and was only representing an increase of the base current or peak current phase. If the median time was too short, the energy accumulated was not enough to control the droplet transfer; conversely, too much median time led to globular droplet transfer. With a backward median current range of 180A-225A and duration range of 8ms-12ms, all experiments resulted in a nice weld effect.
Research on the Correction of Regeneration Opportunity of DPF Using GW4D20 Engine
Authors: Qiao Shi Jie , Liu Yu
Published: July 2014

The accurate diagnose of the timing of regeneration is the key factor of solving the problem that the filter body is damaged and the process of regeneration is uncomplete. The timing of regeneration judged by the exhaust back pressure is a type of widely accepted control method, the essence of which means to estimate whether the quantity of particle in the filter can fulfil the demand of regeneration or not. In the process of practical application, this kind of method is influenced by the engine conditions, therefore, we must monitor the engine at any moment by speed and load of signal acquisition.In this article,it summarizes two dimensional pulse spectrum" exhaust flow--pressure drop” through universal characteristics test. Meanwhile it conducts the temperature correction in order to simplify the complexity of the judge-ment of regeneration opportunity.
Simulation Study of Magnetic Memory Signal Correlation Effect of Dual Defects by ANSYS
Authors: Xi Xiao Wen , Ren Shang Kun , Zhang Ya Fan , Huang Yin
Published: July 2014

To study the correlation effect of multiple defects of metal magnetic memory (MMM) testing technology, the stress-magnetization effect on 20# steel specimen with dual defects under exercise of the geomagnetic field and tensile load is simulated by using the finite element analysis (FEA) software ANSYS. With the stimulation, the magnetic flux leakage (MFL) distribution with different measured paths and different lift-off values of the surface specimen is given. The results showed that the correlation effect of dual defects produce more severe stress concentration phenomenon on the associated region of ferromagnetic specimen, and had no obvious effect on the edge of ferromagnetic materials; Gradient value K of the normal component H(z) of leakage magnetic field in the specimen, as a parameter evaluation of stress concentration in the specimen, has high reliability in areas without correlation effect, but it has no credibility in areas under dual defect correlation effect. Moreover, this article also discusses the influence of measured path and the lift-off value on magnetic memory signals.
Effect of Melting Temperature on Microstructure of In Situ TiC/Al Composite and Formation Mechanism of TiC
Authors: Yuan Huan Long , Zhou Ze Hua , Wang Ze Hua , Zhong Zhao Jun , Zhang Xin , Xue Xiao Feng
Published: July 2014

Formation mechanism of TiC in Al matrix at a rather low melting temperature using in situ technology was studied. And effect of the melting temperature on the microstructure of in-situ TiC/Al composite was investigated. The results indicate that, the resultants of TiC and Al3Ti were found out in the matrix; however, no evidence showed that Al4C3, a resultant phase existed probably in TiC/Al composite in accordance with the relative reference, was found out. Compared to the sample of T750, more TiC and less Al3Ti existed in the sample of T850, and morphography of Al3Ti changed from block to bar with the increasing melting temperature. The melting temperature affected extremely the reaction speed and the resultants.
Vista of Silt Brick Cutting Machine Development Situation
Authors: Zhou Zhuo , Lv Yi , Ni Hong Jun , Wu Cheng Qun
Published: July 2014

Brick cutting machine is the important device during the process of making bricks. The automatic control system, device of power and the pattern of cutting machine have been developing well. The new ideas, new technology and achievement of the brick cutting machine are taken out. The important achievement and application of the cutting machines are introduced, as well as the development tendency.
Development of G-Code Based on PMAC in CNC Machining Center
Authors: Cao Chuan Chuan , Sun Qi Han , Deng San Peng , Zhou Yu
Published: July 2014

PMAC motion controllers serve not only as a receiver of the orders from CNC systems of many kinds, but also as a controller of the motion of machine tools’ axles. With G83 as an example, a code commonly seen in the processing cycle of deep holes in CNC machining centers, it is advisable to come up with a method to write a special set of subprograms to invoke PMAC motion controllers with the application of G-code. Based on the method, case programing and machining simulation can be launched. Experiments justify that the method obtained can realize the compiling of fixed cycles with the use of G-code and, in turn, boast substantial significance in the development of open CNC processing machine tools.
Failure Analysis and Preventive Measures of Cooling Tower Fan Gearbox
Authors: Chen Jian Ping , Wang Ya Li , Zhao Chun Xiao , Li Xing
Published: July 2014

To avoid fatal accidents caused by premature gear failure of cooling tower fan, research and analysis of gear tooth surface pitting and tooth breakage which are the two main failure forms of cooling tower fan gear are conducted in this article, the specific reasons of the fan gear failure are got, and corresponding suggestions of improvements and preventive measures are put forward, this can be taken as reference to the gear design and fault analysis.
Stiffness Modeling and Sensitivity Analysis for Worm Geared Transmission
Authors: Han Lin , Qi Hou Jun
Published: July 2014

The worm geared transmission chain is widely employed in rotary feeding table of machine tools. This article proposes a static stiffness model and conducts sensitivity analysis of the transmission chain. Firstly, a unified static stiffness model is established, considering meshing stiffness, torsional stiffness and pre-load related axial stiffness of worm shaft. Then sensitivity with respect to individual stiffness element is derived based on partially differentiating method. Simulation results show that the closer to the end gear pair or shaft is, the more sensitive meshing stiffness or torsional stiffness is.