bluuebunny/crossref_metadata_2025 huggingface dataset:
Reliability Design of Ship Main Engine Remote Control System Based on Single Chip Microcomputer
Authors: Yao Qi Guo , Liu Yu Liang
Published: May 2014

According to the development direction of ship engine, this paper talks about the reliability design of ship main engine remote control system based on single chip microcomputer, including the system design of microcontroller, software and hardware reliability. Also, it points out some actual problem which met in designing, and gives the solution methods. These methods have obtained wide use in practice.
The Hardware Design of Control System of Coal Mine Detection Robot AC Servo Drive
Authors: Liu Zheng
Published: May 2014

Currently, more than 100 million anti- personnel mines are under the ground all over the world. These mines not only disturb the economic development of mine- buried nations, but also injure or kill more than 2000 people a month. As a result, the removal of landmines has become a global emergency. China as one of the largest coal production and consumption country around the world, it is also of the accident occurred frequently country such as fire damp explosion, water burst, catch on fire during the exploitation of coal mine. The research of detecting by coal mine shaft underground explorative robot make the coal mine rescue works implements smoothly, to reduce casualties caused by mine disaster, it will be substituted for or partial substituted for emergency workers to enter the coal mine rescue. Main effect of coal mine detection robot is taking place of human to go into the post- disaster coal mine for detecting information of the environment and sending the information to the command center. Therefore, it is of great significance to research on coal mine detection robot for reducing casualties and unfolding of the saving work smoothly. Researches on the hardware design of control system of servo drive are not only the key technology of the issue, but also the guarantee on completing the detection task of coal mine detection robot. Main work of path planning for coal detection robot are not only to find a safe and collision- free path from the starting point to end point in the environment of post- disaster coal mine with the uncertain obstacles in it but also to make the path shorter and energy consumed less. The implementation of control system of coal mine detection robot AC servo drive can achieve many tasks, such as motion control, environmental information acquisition, communication with the remote control system and executing complex control algorithms.
A Study on Sacrificial Anode Cathodic Protection for Wharf Steel Pile of Tripoli Lebanon
Authors: Fang Da Jing , Huang Jun , Wang Ya Ping , Shen Er Bu , Li Shun Kai , Tu Liu Qing
Published: May 2014

In this paper, the sacrificial anode protection system for steel pile of Tripoli wharf (Lebanon) was studied. Optimal average protection current densities were selected for steel pipe/sheet pile of seaside zone back filled zone and sea mud zone. Based on field test and investigation, we found that the optimal average protection current density for seaside zone is 0.060 A/m2, back filled zone 0.030 A/m2 and sea mud zone 0.025 A/m2, respectively.
Design of the Automatic Shell Production Line
Authors: Zhang Hui , Zhang Ling Tao
Published: May 2014

In order to make the shell production automatically and efficiently, reduce the injury to the worker’s health caused by the harmful dust, this paper describes an automatic shell production line controlled by PC and PLC. The executive body of the shell production line is robots, PLC transmits signals between robot and PC. The new automatic shell production line can not only stucco but also possess the features of smooth operation for shell making and reliable use and low noise. It has been proved that the shells automatic production line has improved production efficiency, reduce the contact with harmful environment of manipulators greatly, and make the production process are controlled well and safely.
The Design and Implementation of Water Supply Automatic Control System Based on PLC
Authors: Liu Yi Zhen , Deng Xian Yu , Yu Jing
Published: May 2014

The technological process of water treatment automatic control of the steelmaking converter, hardware and software design of the control system are introduced in this paper. The design and realization of water supply automatic control system are based on the S7-400 Programmable Logic Controller.
Temperature Auto-Control System Design for Resistor
Authors: Li Song
Published: May 2014

The application of Temperature Auto-Control System in agriculture and industry has largely increased the quality of production and reduced workers’ labor. For achieving temperature auto-control of resistor, CX51,as the core of the design. Using the circuits of temperature detection and enlargement,A/D,D/A translators,keyboard,LCD. The propose that controlling resistor working in one temperature and in one time has come true.
PID Adaptive Control in the Application of the Induction Motor System Based on the RBF Neural Network Inverse
Authors: Li Zhang , Bo Yu
Published: May 2014

In view of the nonlinear mapping ability of artificial neural network, the ability of self-learning and adaptive uncertainty system dynamic characteristic, fault tolerant and generalization ability and parallel processing ability, etc., the article puts forward a PID adaptive control algorithm based on neural network inverse as well, introducing RBF neural network to the inverse control, and operating PID integration. In a sudden external disturbance and model parameter change, the control scheme can significantly reduce resistance perturbation influence on speed, and strong robustness on parameter variations and external disturbances of the system.
Novel Design for LC-VSI Double-Loop Control System of Microsources in Microgrid Based on Typical System Setting Method
Authors: Li Jia Ming , Li Peng
Published: May 2014

Control strategy of inverter is the foundation of microsource’s power control. Based on a typical system setting method, double-loop control system of LC filter and inverter for voltage-source inverter in microgrid is designed. The feasibility is verified via the simulation.
The Numerical Control Device Reliability Based on Bayesian Approach
Authors: Li Bin Quan
Published: May 2014

The material selection and manufacturing processes of numerical control device were related with the reliability of system. Therefore, the reliability evaluation of it was significant. Numerical control system was, obviously, high-reliability product and the application of Bayesian theory has become an important means of its reliability assessment. The failure data of numerical control device obeys Weibull distribution which has complex forms. The posterior distribution becomes extremely complicated and the numerical integration which Bayesian computing depends on is not available. Markov chain Monte Carlo (MCMC) method ensures the implementation of the assessment. The result of Bayesian estimation proves that it increases the robustness, accuracy and effectiveness of the calculation and it's suitable for numerical control device reliability evaluation.
Girth Automatic Welding System
Authors: Xu Xiao Long , Xing Ke Li , Dai Jia Yu
Published: May 2014

Designed a positioning, welding and reset automatic control system based on stepping motor, PLC, touch screen. Welding torch is positioned through the photoelectric switch. PLC controls stepping motor running and welding torch starting arc and ending arc. Communication between the touch screen and PLC improves the efficiency of the system and achieves the girth automation welding process.
Design of a Three-Dimensional Garage Control System
Authors: Yang Hai Yan
Published: May 2014

As the car quantity increasing, solve the parking problem is becoming more and more serious, but due to the shortage of land resources in the big city, establish a way of parking which occupies less land is imminent, Three-dimensional garage arises at the historic moment. The design introduced a three-dimensional garage with PLC control; it can realize multi-layer storage of the vehicle, and conform to the requirements of Times.
Research and Design of the DSRC Device Measuring Instrument
Authors: Li Xin You , Xu Ze Bin , Guo Jin Xu
Published: May 2014

Along with an increasingly wide utilization in the fields of ETC application, it becomes more and more important to measuring quickly and accurately on the key equipment of ETC system, such as OBU and RSU. This article is based on the measuring requirement of ETC system and propose a new design proposal by selecting STR715FR0 chip base on the core of ARM7TDMI series and 5.8GHz radio frequency transceiver circuit, the actual operation and test results show that the DSRC device Measuring Instrument works with stability, reliability and low power consumption, which enables convenient and efficient measuring to ensure the reliability and consistency of the ETC key equipment.
MapReduce-Based Parallel Linear Regression for Face Recognition
Authors: Zhang Li Sheng , Liu Hua Yong , Lei Da Jiang
Published: May 2014

In order to solve the problem of high time complexity of Linear Regression Classification algorithm,we propose a Mapreduce-based parallel linear regression classification algorithm. The map task uses the test image vector and the vector subspace to predict the response vector for one class, then calculates the distance measure between the predicted response vectory and the original response vector. The reduce task processes the data which are generated by the mappers, the test image is assigned to the nearest class. The experiments shows that the MapReduce-based parallel linear regression classifier can significantly improve the efficiency of Face Recognition.
Railway Turnout Fault Diagnosis Based on Support Vector Machine
Authors: He You Min , Zhao Hui Bing , Tian Jian , Zhang Meng Qi
Published: May 2014

The maintenance efficiency of Chinese railway turnout is closely related to the accuracy of its fault diagnosis method. A proper method will provide great help to railway staff in maintaining turnouts. The research introduced in this paper built a model based on Support Vector Machine (SVM) and Grid Search and later than tested its effect with the data from experiments. Result of that test shows that the method can achieve a diagnosis accuracy as high as 98.33%.
Using Networks to Measure Influence and Impact
Authors: Zhang Li Xian , Liu Yu Jia , Lu Xin Zhong
Published: May 2014

The co-author networks are important type of social network. In this paper, we establishes the Erdös co-author network and proves that the Erdös co-author network is a complex network which has three main properties, including small world, scale-free and clustering properties. Besides, this article gives the calculation formulas for degree centrality, closeness centrality and betweenness centrality of a network. According to the calculation result we give a ranking order for authors within Erdös co-author network.
Key Technologies of On-Line Monitoring Based on Optical Transport Networks
Authors: Yin Shu Hua
Published: May 2014

To meet the comprehensive maintenance demand of optical fiber transportation networks, an integrated optical cable on-line monitoring system is designed in this research. The researched employs modular structure, integrated function, and blended multiple communication interfaces for the key technologies of monitoring 128 modules. By using the technologies, speech path and signaling are able to transmit simultaneously. Then the research establishes the on-line monitoring system which integrates the functions of real-time monitoring of terminal offices on optical cable line and end machine, automatic dispatching of circuits, and maintenance test for optical transportation equipment. By applying the system on-line, the research verifies that the functions and technical indexes of the system meet its design requirements.
Principle and Realization of Frequency Measuring with Countingdown Method
Authors: Xu Lian Xiang , Shi Xiong
Published: May 2014

The intermediate frequency signal, which is generated by down conversion of radar transmission pulse, is settled as square wave through the signal processing circuit; in N cycle of the unknown square wave of this frequency, the frequency measurement circuit with counting down method uses the counter and the time-sequence control circuit consisting of TTL integrated circuit, such as F161 and LS221, to count the standard pulse exported by homothermal crystal with high stability and then load the result in single chip in order to obtain the frequency measuring result. This frequency measuring circuits, a digital frequency measurement module, can rapidly and timely survey the transmission frequency during the constant radar transmission pulse and has been successfully applied in a self-adaption frequency control system of meter wave warning radar.
Research on the Passive Route Detection and Localization of Armored Optical Fiber Cable and its Simulation
Authors: Jiang Tao , Zhang Zhi Gang , Gu Li Yun
Published: May 2014

Aimed at the disadvantage of traditional magnetic detection such as susceptible to magnetic interference and positioning not accurate, the paper presents an algorithm of passive route detection and localization of armored optical fiber cable based on the pulse induction. By injecting changing current to the detection coil, the algorithm used induction technology to incentive out the induction voltage in metallic materials of the detected armored optical fiber cable and established the model about the distance between them. Then derived that the impact of the armored optical fiber cable on the coil voltage was in reverse proportion to the distance six powers of exponent. In addition , the algorithm used coil array to detect and localize the cable to determine the position of the armored optical fiber cable. The results of the simulation indicates the effectiveness of the presented algorithm and passive route detection system and provides feasible ideas to make the technology of passive route detection of armored optical fiber cable practical on the next step.
Multi-Target Direction Measurement of Bistatic MIMO Radar
Authors: Wang Jing Fang
Published: May 2014

Multiple-input multiple output (MIMO) radar has been widespread concern in the domestic and foreign researchers. Bistatic radar draws on the great success of MIMO technology in the communications field, and it has many advantages over conventional radar. The direction angles estimations of bistatic MIMO radar are researched. To contrast traditional radar DOA estimates, the direction vector of the bistatic MIMO radar is the Knonecker plot of the emission vector and reception vector, that two-dimensional direction angles is estimated. To solve this problem, the principle of bistatic MIMO radar signal model is in-depthly researched.By proposing Capon dimensionality reduction method, the two-dimensional directions of the dual-based MIMO radar are estimated, and computer simulation is to verify the effectiveness of the method.
Aerospace Testing Process Evaluation Based on the IAHP
Authors: Wang Yan , Wang Hua , Li Ming Ze
Published: May 2014

Based on the deficiencies in evaluation of AHP, this paper adopts IAHP to evaluate 3 schemes for the aerospace testing process evaluation. Firstly, aerospace testing process evaluation model is established by using AHP in this paper. Secondly, we choose comprehensive integrity, reasonable effectiveness, safety and reliability, periodicity, expansibility, and environmental friendliness as the evaluation criterion. Thirdly, we choose 3 schemes including before and after the optimization. At last, 3 schemes are evaluated by IAHP and we get the evaluation result.
Research on a Novel Automation Software Reliability Detection Method
Authors: Liu Wen Lai
Published: May 2014

The reliability detection method for the traditional large-scale automation software is based on the module design principle of the automation software which detects the reliability features one by one. It does not consider the concurrent reliable chain problems for the automation software which cause the low detection accuracy. The paper proposes a novel automation software system reliability detection method based on the path-based interfaces. The detection model integrates the features of the automation software. The established stochastic points process and state probability transition diagram overcome the shortcomings of the traditional large-scale automation software reliability detection methods. The experiment results illustrate the improved methods can increase the detection accuracy of the large-scale automation software which can be widely applied.
A Survey on Motion Capture Data Retrieval
Authors: Lv Na , Huang Yan , Feng Zhi Quan , Peng Jing Liang
Published: May 2014

With the rapid development of motion capture technology, large motion capture databases are established. How to effectively retrieve the motions from huge amounts of motion data has become a hot topic in computer animation. In this paper, we give a survey on current motion capture data retrieval methods and point out some still existing problems at the end.
The Design of Reliability Guarantee Technology Based on Wireless Real-Time Monitoring System
Authors: Yu Xiang , Huang Xiao Min
Published: May 2014

For video real-time monitoring system in different wireless channels, a reliability guarantee technology whose parameters are variable is designed. And this technology improves the video quality of wireless real-time monitoring system greatly. After a detailed introduction of the overall scheme and theory, the design of the reliability guarantee technology is focused on. The size setting of image buffer, the parameters setting of H.264 encode, the frame processing mechanism and the transfer protocol of RTP/RTCP are contained in this design, which guarantee the high reliability of wireless real-time monitoring system. Finally by using the tests in WiFi/WCDMA/TD-LTE channels, the performance indicators are analyzed, and the validity of the design scheme is verified.
Drivers’ Seat Belts Detection at Crossroads Based on OpenCV
Authors: Qiu Yun Wei , Pan Jian , Zhou Ning , Wang Yu Feng
Published: May 2014

Considering the limitations of current approaches of traffic detection after the new traffic laws are introduced, an intelligent detection system of driver’s seat belts is proposed based on OpenCV in this paper. It is combined with the appliance of linear fitting method, straight line detection method and gray integral projection method. Thus, whether the drivers wear their seat belts or not can be analyzed and judged by the system from acquired images, which can ensure the road traffic security and the safety of drivers and help to increase the efficiency of the police. We can accurately distinguish the drivers’ violation and realize the intelligent transportation.
Research on the Performance of Shielded Wire Passivated by 823 Preservatives in Neutral Salt Spray Test
Authors: Dai Ke Shun , Xiao Wen Kai , Yu Tan
Published: May 2014

The corrosion cracking of Shielded wire could result in protection equipments and automatic devices failing to work, which seriously affects the normal operation of the grid [1]. Therefore, researching the corrosion of Shielded wire has an important meaning. This article, through measurements of the polarization curve of the shield, researched the corrosion rate of different spray time and treatments, and came to a conclusion that the corrosion resistance after passivated by 823 preservatives is higher than before it.
Cooperative Navigation for Multiple AUVs Based on Relative Range Measurements with a Single Leader
Authors: Huang Xing Li , Liu Li Yan , Lv Tao Tao , Li Wen Bai
Published: May 2014

his paper deals with the cooperative navigation problem of multiple autonomous underwater vehicles (AUV). A novel method which does not depend on a beacon network like in long baseline positioning system is proposed. The principle of this approach is to realize the cooperative localization of AUVs by using relative range measurements between the leader and the follower vehicles by means of an extended Kalman filter. Simulation results that validate the effectiveness of this approach are presented.
Laser Speckle Detection System for Seed Viability Assessment
Authors: Men Sen , Yan Lei , Qian Hua , Li Na , Yao Jian Ping
Published: May 2014

This work presents a new detection system for seed viability assessment. The theoretical of the system is based on laser speckle or dynamic speckle, an optical phenomenon produced by interference of light. In the present work, the detection of a single in a period of time is been concentrate. The various parts and working principle of the laser speckle detection system explain detailed and the feasibility of this system is experiment in this paper. The result shows that this system is available in this field, and it can support the further study.
Design of Steering Angle Detecting System Based on Wireless Communication
Authors: Qi Wan Qiang , Yu Xiu Min , Sun Ying Jie , Li Yang , Wang Chun Yu
Published: May 2014

In this study, the detecting device of the steering angle is designed based on the single-chip microcomputer of STC12LE5A60S2 and the wireless communication module of ZICM2410; the hardware structure design and software implementation of the device are proposed. With this detecting device the steering angle can be detected any time which can be shown on the LCD board of the detecting device, and on main controller through the wireless communication; the rules can be modified in the condition of zero drift to ensure a continuous trouble-free operation with high degree of accuracy; the performance detection index is the evidence to judge whether the car is qualified or not. Less cost, greater reliability, flexibility and convenience are the main features of this device.
Study on DPCA Sidelobe Clutter Suppression
Authors: Qin Ji Dong
Published: May 2014

Due to the non-smooth movement of the platform, the actual multi-channel SAR system is difficult to satisfy the DPCA condition and it is required to compensate the motion error. Previous studies are only interested in the main lobe clutter suppression performance inside the PRF, while ignoring the sidelobe clutter outside the PRF. This paper theoretically deduces the sidelobe clutter suppression residual by motion error compensation and quantitatively analyzes. Theoretical analysis and simulation results show that: the clutter suppression performance is directly depended on the fractional part of the quotient of motion error than azimuth spatial sampling interval, the results of these studies provides reference for the actual data clutter suppression as well as the SAR system design.
Multiple Model CPHD Filter for Tracking Maneuvering Targets
Authors: Sun Jie , Li Dong
Published: May 2014

A multiple model cardinalized probability hypothesis density (CPHD) filter is proposed for tracking multiple maneuvering targets. The augmented state is established by combining the target motion mode with the kinematic state. Both the posterior cardinality distribution of the targets and the posterior probability hypothesis density (PHD) of the augmented state are jointly propagated by using CPHD recursion. Simulation results show that the proposed filter improves the estimation accuracy of target number and target states over the multiple model PHD filter and single model CPHD filter respectively.
Overlapping Community Detection Algorithm Based on Seed Diffusion
Authors: Wang Biao , Zheng Hai Bin , Fang Ying Jue , Wei Jun Jie
Published: May 2014

Thinking applied to the seed dispersal weighted network using node strength to find seed node, and through seed nodes for each node fitness Looking node's home societies, and update the node in the iterative process of fitness makes societies divided stabilized. The experimental results show that the network based on the weighted overlap Societies seed dispersal algorithm can be found in weighted social networks effectively divided and divided more tends to be refined.
A New Method Based on Image Registration Algorithm
Authors: Hu Wei Wei
Published: May 2014

We introduce a new algorithm for Image Registration and Stitching. The algorithm is designed to be extremely efficient and fast in its execution and is intended for use in stitching images extracted from a video stream of a camera. This algorithm is not universally applicable to all the image registration and stitching problems. It is customized to be used to generate single images of surfaces such as a conveyor belt or undercarriage of vehicles, which cannot be captured by a single photo. The algorithm works by extracting edges of the two images to be registered. Then it selects a reference section from the first image and search in the second image where it finds the best match for that section. The best match is the east difference score. We present full details of how the extraction of the heuristic is done from the inputs and how it drastically reduces the execution time of the algorithm. The paper also contains a full section on comparing our algorithm with a set of existing algorithms. Our algorithm outperforms the existing ones for all the common image sizes.
Study on the Improvement of the Permeability of Eucalyptus grandis× Eucalyptus urophylla by Microwave Radiation
Authors: Tao Jiang , Pen Kai Yuan , Wu Gui Long , Sun Jian Ping , Li Xiu Rong , Pang Xian
Published: May 2014

Low permeability of fast-growing eucalyptus wood restricts its high value in use. In order to explore effective ways of improving the permeability of eucalyptus wood, the method of applying microwave radiation to Eucalyptus urophylla (Eucalyptus grandis×Eucalyptus urophylla) is used to promote its rapid evaporation of water, by which vapor pressure highly increases inside, then vapor bubbles break through the weak points of the wood tissue, as a result, the permeability of the wood is improved. Under the same conditions, wood was tested to achieve the results of water absorption rate (WAR) and water loss rate (WLR) in water sorption measurement and saturated suction drying experiment respectively, after which the permeability, the modulus of rupture (MOR) as well as the modulus of elasticity (MOE) of the test wood are recorded. The results show that the WAR and WLR of the microwave treated wood is higher than that of the untreated wood. Thus it is concluded that microwave radiation can improve the permeability of urophylla wood. But the time of microwave pretreatment has a significant effect on the WAR and WLR, which may be associated with lower microwave power and the variability of the tested material. MOR and MOE of the test material did not change significantly after the microwave treatment.
Platform of Spatial Spectrum Estimation Based on Matlab GUI
Authors: Zhao Shen , Zhang Xiao Fei
Published: May 2014

A platform of spatial estimation, which is based on Matlab GUI, was established. We use Matlab to do analysis of different parameters (Signal-to-noise ratio, the number of snapshots, the number of antenna elements, the number of targets) and simulate the results with different algorithm. In addition, we use a Matlab GUI to present the results of simulations in a interface-friendly way.
Optimal Parallel Algorithm of Merge Sort Based on OpenMP
Authors: Shen Hai Long
Published: May 2014

The parallel algorithm of merge sort is proposed. The improvements of merge sort are analyzed in this paper. OpenMP is applied in the proposed algorithm for implementation. The results of complexity and execution time of the proposed algorithm indicate that the parallel algorithm approach the optimal case.
Iris Feature Extraction Based on the Fuzzy Clustering Evaluation Algorithm
Authors: Liu Jin , Liu Chang Ming , Sun Yan Jun
Published: May 2014

In the iris recognition, as the texture feature of iris is complicated , and it is affected by the acquisition environment, time, condition and other factors, so it is difficult to express its complete information in single features of iris. Therefore, the combination of a variety of features or integration of expression and recognition method becomes a new kind of choice. Information integration concept originated in the 1970s. In recent years, because of the gradually in-depth recognition of people, the application of information integration technology in the pattern recognition becomes a hot spot of the research, especially when the single pattern cannot complete various aspects of requirements well in the pattern recognition, the adoption of integration technology can integrate various aspects of information provided by multi-pattern features, so as to obtain more comprehensive and accurate information of the recognized objects and overcome the limitations of recognition method through single-pattern feature, thus getting a satisfactory effect.
Design and Development of Online Advertising Budget Analysis and Optimization of Delivery System
Authors: Sun Zhen Ya
Published: May 2014

Online advertising budget analysis and optimization of delivery systems, provide a modern service model with innovation and intelligence for Chinese advertising market. This paper describes functions and use case diagrams of this system,as well as its realizing method.
An Ameliorative Defogging Algorithm Based on the MSR
Authors: Liu Ming , Xu Chao
Published: May 2014

In view of the existing problems of traditional defogging algorithms,such as color distortion and halo phenomenon in MSR algorithm (multi-scale Retinex) , we improve it by using adaptive filter and different weighting factor.In other word,when gray levels of pixels within a certain threshold, use homomorphic filtering; otherwise use different state filtering device. Experiments shown that image details are enhanced, and contrast is enhanced, visual effect is improved.
Dynamic Function Optimization by Improved Artificial Bee Colony Algorithm
Authors: Jiang Shuo
Published: May 2014

In this paper, an improved artificial bee colony algorithm (IABC) for dynamic environment optimization has been proposed. As we compared the IABC with greedy algorithm (GA), Particle swarm optimization (PSO) and original artificial bee colony algorithm (ABC), the result of dynamic function optimization shows that the IABC can obtain satisfactory solutions and good tracing performance for dynamic function in time.
A Modeling Method of Switched Systems Based on AP Clustering
Authors: Xie Chun Li , Zhao Dan Dan , Wang Pei Chang
Published: May 2014

The behavior of hybrid systems is determined by combining continuous variables with discrete switching logic. The identification of a hybrid systems aims to find an accurate model of the system's dynamics based on its past inputs and outputs. For a class of hybrid systems in the switched form, a model identification method based on affinity propagation clustering is presented in this paper. In this method, the model identification issue is equivalent to the problems of classification of the cluster data of the system and regression of the classification data. The clustering algorithm is successively applied to group the sampled data into clusters, and the sub-models are trained by least squares support vector machines according to corresponding sub-class samples. The last model of switched systems is obtained by combining each sub-model. Simulation results show the effectiveness and feasibility of the proposed method.
Macro Manifold Learning with Applications to Supervised Classification
Authors: Huang Hong Bing
Published: May 2014

Manifold learning has made many successful applications in the fields of dimensionality reduction and pattern recognition. However, when it is used for supervised classification, the result is still unsatisfactory. To address this challenge, a novel supervised approach, namely macro manifold learning (MML) is proposed. Based on the proposed approach, the low-dimensional embeddings of the testing samples is more favorable for classification tasks. Experimental results demonstrate the feasibility and effectiveness of our proposed approach.
Hydrothermal Synthesis and Photocatalytic Property of CdLa2S4 Hierarchical Microspheres
Authors: Xing Guang Jian , Guo Hong Li , Li Peng , Wu Guang Ming
Published: May 2014

In this study, CdLa2S4hierarchical microspheres have been successfully synthesized through a hydrothermal method without any surfactants or templates. The crystal structure, morphology, and optical properties of the products were characterized by X-ray diffraction, scanning electron microscopy, and UV-vis diffuse reflectance spectroscopy. The results showed that the reaction time affects the structure and morphology of the CdLa2S4products. Finally, the CdLa2S4microspheres showed perfect photocatalytic properties for the degradation of the methyl orange solutions.
The Research of Fuzzy Weighted Twin Support Vector Regression in the MBR Simulation Prediction
Authors: Ji Chan Juan , Li Chun Qing , Wang Tao
Published: May 2014

This paper using the way of Support Vector Data Description (SVDD) and considering the tightness between the Membrane Bio-Reactor (MBR) samples, applies the Fuzzy Weighted Twin Support Vector Regression (FTSVR) to the MBR simulation prediction research. Firstly,adopt the principal component analysis (PCA) on membrane fouling factors to achieve dimension reduction and de-correlation, then put the PCA output layer as the input layer of FTSVR, flux as the output layer, eventually, the MBR Membrane Fouling Prediction Model is built. This method considers the different effects on the regression hyperplane of different MBR samples,and effectively eliminates the negative effects due to error even outliers in the process of MBR data measurement.
Experimental Study of Biological Material Preparation Based on Optical and Mechanical Dynamics
Authors: Wan Jun Mei , Ao Ming Zhang
Published: May 2014

The main components of Konjac glucomannan are glucose and glucomannan that are byڂ1-4 bond [ molar ratio is 1.6: (1~4) ] of high molecular weight non-ionic glucomannan, special glucose and mannose's ڂ-1-4chain structure isn't affected by the human digestive enzymes, and does not generate heat. According to the peculiar properties of konjac glucomannan, through the scientific experiment in the body of a rabbit to verify its unique immunological function, and then the human experiments after the effective experimental data statistics scientific analysis, finally the system can obtain the effect of konjac glucomannan on human immune system.
An Elevation Cosine Derivation Based Updating STAP Method for Non-Sidelooking Uniform Linear Array
Authors: Chen Xing Hui , Gao Shi Qiao
Published: May 2014

The clutter distribution of airborne radar with non-sidelooking uniform linear array antennas varies with ranges and interference in different range gates are not independent identically distributed vectors, so the performance of statistical STAP methods degrade heavily. In this paper, the range dependency problem is studied and a clutter nonstationarity reducing method is proposed. This method involves in the pre-processing of elevation cosine based vector extending and subsequently statistical STAP technique. Simulation results show the proposed method can reduce the clutter dispersion significantly and outperform conventional compensation methods.
A Knowledge Rule Mining Method for the Evaluation of Bilingual Teaching Quality in Universities Based on Genetic Algorithm
Authors: Yan Tai Shan , Guo Guan Qi , Li Wu , Li Wen Bin
Published: May 2014

Bilingual teaching is the inevitable reform and development trend of higher education, and it is a very important job for us to evaluate the bilingual teaching quality. Currently, we do not have an effective evaluation system for bilingual teaching quality. In this study, the factors which affect bilingual teaching quality are analyzed and the evaluation index system of bilingual teaching quality in universities is established firstly. Then, a knowledge rule mining method for the evaluation of bilingual teaching quality in universities based on an improved genetic algorithm is proposed. In the algorithm, selection operator, dual crossover operator and dual mutation operator are used to generate new knowledge rules. Knowledge rules are evaluated by their accuracy, coverage and reliability. Experimental results show that this knowledge rule mining method is feasible and valid.
Resource Optimization Algorithm Based on Evaluation Decision Model of Information Entropy
Authors: Huang Li Min , He Guo Song , Chen Zhi
Published: May 2014

Xianning is located in the fourth pole of economic growth core area of The Central Triangle, through the location entropy analysis method we can know that, tourism industry is an advantaged industry in Xianning and the adjacent region of The Central Triangle, and have their own advantages and characteristics of tourism resources. According to the space constraint issues on function realization of advantaged tourism resources in Xianning, space breakthrough strategy based on The Central Triangle pattern has been presented.
Study on Quality of Service Based on Trusted Computing
Authors: Ma Xin Qiang , Huang Yi , Li Dan Ning , Liu You Yuan
Published: May 2014

Trusted computing is a hot topic of information security technology research nowadays. It was developed based on computing and Information Systems. At the same time, business processes for e-commerce and Web service applications, suppliers and customers define a binding agreement or contract between the two parties, specifying quality of service (QoS) items such as products or services to be delivered, deadlines, quality of products, and cost of services. The management of QoS metrics directly impacts the success of organizations participating in e-commerce. In this paper, we discuss the present situation about QoS in the environment of trusted computing. It describes the factors related to each attribute, as well as possible tradeoffs and existing efforts to achieve that quality. The paper also discusses key issues in services level agreements that are used to contract the level of services quality between service providers and users.
Electric Vehicle Charging Stations Optimal Location Based on Fuzzy C-Means Clustering
Authors: Shi Qing Sheng , Zheng Xiao Zhen
Published: May 2014

As plug-in hybrid electric vehicles and battery electric vehicle ownership is expanding, there is a growing need for widely distributed publicly accessible charging stations. Building a charging station cost too much. Therefore, optimal location of charging stations has to be dealt with. The main purpose of this paper is to investigate the optimal location of charging stations using fuzzy C-means clustering method. Preliminary of fuzzy C-means clustering method is introduced first followed by the procedure of charging station optimal location using Fuzzy C-means Clustering. Finally, simulation results show the validity of proposed method.
Text Segmentation Based on PLSA-TextTiling Model
Authors: Zheng Yu Chao
Published: May 2014

Text segmentation is very important for many fields including information retrieval, summarization, language modeling, anaphora resolution and so on. Text segmentation based on PLSA-TextTiling associates different latent topic swith observable pairs of word and sentence. In the experiments, the whole sentences are taken as elementary blocks. PLSA model is used to calculated similarity metric basing on the idea of TestTiling and several approaches to discovering boundaries are tried. The results show the Pμ value is 0.87, which is better than that of other algorithms of text segmentation.
A Control Strategy for Slip Regulation Coordinated with Driver Intention
Authors: Wang Xiang , Xiong Lu , Jin Chi
Published: May 2014

Aiming at improvement of the dynamic performance of in-wheel-drive electric vehicles, an approach to coordinate wheel slip ratio tracking with fulfilling driver’s desired torque is presented. First, an anti-windup PI controller for slip ratio tracking regardless the unknown ground adhesion, is proposed, followed by its stability analysis base on Lyapunov theory. Second, a coordinating logic is designed to guarantee that the slip ratio tracking control engages only when driver’s desired tracking or braking motor torque may cause the wheel to spin or lock. The performance of the control strategy is supported by simulation and experimental results.
RLS Parameter Identification and Emulate Based on DSP Builder of the Rapid Realization
Authors: Zou Qin
Published: May 2014

This paper derives a RLS of calculation formula and proposes the use of RLS to identify the parameters of design and simulation methods based on Altera DSP Builder, with the widely using of the least-squares algorithm in real-time control and line identification. According to a given example, the simulation results and analysis are analyzed. The simulation results show that the method this paper proposed have such advantages and application value that simplify the design difficulty and improve design speed, simplicity and flexibility of simulation and other aspects.
Synthesis of a Novel D-A Type Photoelectrical Material: 5,5'-(9,9-Dioctyl-9H-Fluorene-2,7-Diyl)bis(Thiophene-2-Carbaldehyde)
Authors: Sun Xiao Xia , Tang Ze Biao , Hu Yu
Published: May 2014

A donor-acceptor organic molecule based on fluorene unit as an electron donor and aldehyde group as an electron acceptor has been demonstrated in high yields over four steps. This approach offers a much milder and more efficient route to synthesize the target compound via the Vilsmeier-Haack reaction. Optical spectra show that the electron-accepting groups induce an intermolecular charge transfer, resulting in a shift of the absorbance maximum toward longer wavelength. Such D-A type intermediate compounds as organic molecules display a significantly improved property profile in photoelectrical materials for applications in organic light-emitting diodes (OLEDs), organic photovoltaics (OPVs), and organic field-effect transistors (OFETs).
A Low-Cost 3D Local Mapping and Localization Method
Authors: Lu Li Bin , Tao Rui , Jin Guo Dong
Published: May 2014

In this paper we presents a 3D local mapping and localization method with kinect camera. The kinect camera is a low-cost sensor which can provide the information of the RGB image and depth image. The inverse depth parameterization model is introduced to the extended Kalman filter (EKF) to study the location Relations between the camera and feature points. A two-step feature matching method is applied to provide information to SLAM algorithm and synthetize the three-dimensional cloud points. The results of experiments validate the effectiveness of of the proposed local mapping and localization method.
1394b Multi-Subnet Algorithm Based on the Theory of Queues
Authors: Yi Xiao Su , Zhang Liang , Wang Ming
Published: May 2014

The high-speed serial data bus, IEEE-1394b, is one of the most popular bus standards in avionics system, but it cannot achieve multiplexing transmission. To solve this problem, a multi-subnet partition algorithm based on the Theory of Queues (TQ) is implemented in this paper. By utilizing matrix to describe the system topology and transmission bandwidth between nodes, the algorithm can efficiently result in the minimum delay system topology. Simulation results show that the algorithm can successfully determine the topologies with minimum delay for different data transmission bandwidth matrix of the multi-network system, which are consistent with the analysis. This verifies the correctness of the algorithm.
Image Segmentation by Pre-Labeling Based on Part-Based Model
Authors: Liu Wei , Xu Xue Jun
Published: May 2014

Interactive segmentation with graph cuts has become very popular and many priors have been introduced into graph cuts to improve the results. This paper proposed a method which uses the deformable part-based model to pre-label the seeds. First the deformable part-based model finds out the bounding box, then we can pre-label the seed point based on the assumption of compact shape. Our results show that our method can get more accurate result especially the appearance of the object and background are similar and the shape is compact.
Scheduling of Discrete Manufacturing Process for Energy Saving
Authors: Tuo Long , Dai Lu , Chen Xiong
Published: May 2014

Rotor machining is a traditional discrete manufacturing process, among which large amount of non-essential energy is being wasted. The machining process belongs to pipeline production, so a flow-shop scheduling model is built to optimize it. But when there are over three machines, this will be an NP-hard problem. We introduce an improved ant-colony algorithm to find the best solution and then use the real machining data to test it. The total energy consumption is reduced by over 10% and this shows the model and intelligent algorithm work well.
Preparation of Electrodeposited Mo-Ni Coating in Weak Acid Solution
Authors: Liu Xiao Zhen , Feng Jun Liang , Luo Yi Fan , Liu Xiao Zhou , Chen Jie , Ding Lu
Published: May 2014

Mo-Ni coatings were prepared on Ni alloy by electrodeposition method. The effects of sodium fluoride mass concentration, sodium chloride mass concentration, sodium molybdate mass concentration and pH value on deposition rate of Mo-Ni coating were researched, respectively. The morphology of Mo-Ni coatings were characterized with scanning electron microcopy (SEM). When sodium fluoride mass concentration is 12 g/L, deposition rate of Mo-Ni coating is as high as 0.3781 mg/cm2·min. When sodium chloride mass concentration is 22.3 g/L, deposition rate of Mo-Ni coating is as high as 0.2108 mg/cm2·min. When sodium chloride mass concentration, sodium molybdate mass concentration and pH value are 22.3 g/ L, 12 g/L and pH 5 respectively, deposition rate of Mo-Ni coating is as high as 0.2123 mg/cm2·min. There are many cracks and pits on the surface Mo-Ni coating deposited in the bath without adding NaCl or NaF, and coating surface is very uneven. The surface Mo-Ni coating deposited in the bath adding NaCl is smooth, and the grains of Mo-Ni coating is small. The surface Mo-Ni coating deposited in the bath adding NaF is smooth, and there are many nodules on the surface Mo-Ni coating.
Optimization of Manufacturing Parameters for Melt Spun Yarns Using Taguchi Method
Authors: Wang Shu Wen , Su Te Li
Published: May 2014

In melt spinning process, evenness of polypropylene melt spun yarns affects the appearance, hairiness, strength and productivity of yarns, as well as product production and profits, causing rejection due to nonconformity. The research is to find optimal manufacturing parameters of melt spun yarns. Firstly, to proceed the parameter design by Taguchi method, then to select a manufacturing parameter which will affect the quality of melt spun yarns as controllable factors. Also to choose a suitable orthogonal arrays. Meanwhile, according to variation of analysis, to decide optimal manufacturing parameters of melt spun yarns and its remarkable factor. Finally, using 95% confidence interval to proof the experiment’s reliability and repeatability.
Study on the Path Optimized Method Based on an Improved Clustering Ant Colony Algorithm for CNC Laser Drilling
Authors: Guo En Te , Wu Ting , Zhang Li Bing , Huang Feng Li
Published: May 2014

In order to improve the machining efficiency of the CNC laser drilling, this paper presents the path optimized method based on an improved ant colony algorithm of the k-means clustering approach. The mathematical model of the path optimization is constructed, and the path optimized method based on the improved clustering ant colony algorithm is designed and actualized. The optimized path method for CNC laser drilling based on the improved clustering ant colony algorithm is tested, and the simulative and experimental result have shown that the proposed method is better performance, and the machining efficiency is greatly improved.