bluuebunny/crossref_metadata_2025 huggingface dataset:
A Design of Launching Pattern for Final Inspection of Assembled Cars in Mixed Model Assembly Line
Authors: Vinitsorn P. , Prombanpong S.
Published: September 2014

The objective of this paper is aimed at determining the sequential pattern of a newly mixed-models assembled cars entering into the final inspection lines so that the required production rate of each model can be obtained as specified. The inspection lines are consisted of three parallel conveyor lines and each line is designed to be able to inspect any car models. One can imagine that each model with different inspection details will definitely consume different lead time to complete the job. As a result, the model with short lead time can be finished faster than one with longer lead time. Thus, by the end of each inspection hour, it is difficult to maintain the exact production rate of each product. The unfinished model will become a back order and will be completed in the next hour and therefore the rest of the schedule will be affected. Without knowing of the fixed rate launching algorithm, the exact production rate of each model for each working hour can not be met.
Electric Cultivator Design and its Impact of the Operator
Authors: Hsieh Kuang Wen , Iu Chih Shiuan , Houng Huaang Youh
Published: September 2014

Small type gasoline engine has the advantage of lightweight and low energy, but its emissions of carbon dioxide will lead to global greenhouse gas growing. This study aims to test the performance of the cultivator between different soil and tools. Comparative test electric and gasoline engine type cultivator contains the following items: energy consumption, carbon dioxide emissions in the job and the operator heart rate change. The results show that the width of 60 cm and depth of 3 cm operating conditions weeding, electric cultivators and gasoline engine cultivator average turn time was 2.9 seconds and 3.3 seconds, with an average forward speed were 0.535 and 0.515 m/s. Comparison of the time and forward speed cornering, the electric cultivator superior gasoline engine cultivator, and can successfully achieve high torque output characteristics weeding needed. Energy consumption and carbon emissions test data show that the loam fields, the average power consumption cost of NT $ 21.2/ha; carbon dioxide emissions by an average of 26 kg/ha. This result shows that energy consumption in the consideration of the performance of carbon dioxide emissions, electric cultivators have lower costs. The test results are displayed in the field; the electric cultivator operator heart rate is lower than the gasoline engine cultivator and has significant difference statistically. Therefore, in the field of long-term operating conditions, the electric cultivator helps reduce physical exertion and operator fatigue.
The Study on the Ultrasonic Nanomachining of Au/Ti Thin Film by Atomic Force Microscopy
Authors: Huang Jen Ching , Chang Ho , You Yong Chin , Ling Hui Ti
Published: September 2014

This study focused on the ultrasonic nanomachining by atomic force microscopy (AFM) to understand the phenomena of the ultrasonic nanomachining. The workpiece is an Au/Ti thin film and coated on the quartz crystal resonator (QCR). The ultrasound vibration of workpiece is carried out by used the Quartz crystal microbalance (QCM). And a normal force measurement model was built by force curve measurements in ultrasound vibration environment. The influence of different experimental parameters can be studied such as normal force and repeat number on the cutting depth and chip stacking. After the experiments, it can be found that the ultrasonic nanomachining by AFM is possessed great influence on the cutting depth.
Development of Computerized Preventive Maintenance Management System with Failure Mode and Effect Analysis for CNC Machine
Authors: Rungsa Em Ardchaya , Tangjitsitcharoen Somkiat
Published: September 2014

In order to realize the intelligent maintenance management system, this paper presents a development of computerized preventive maintenance management system (CPMMS) to manage and record the maintenance information in the database for the CNC machines. The failure mode and effect analysis (FMEA) has been utilized to deal with the computerized preventive maintenance management system in this research. The FMEA is analyzed to determine the risk priority number (RPN) of the CNC machines in order to set the preventive maintenance plan as a standard maintenance. The developed program can generate the next schedule of the preventive maintenance plan automatically, which increases the efficiency and decreases the breakdown. It has been proved that the proposed and developed CPMMS with FMEA program can improve the overall equipment effectiveness (OEE). The RPN has been reduced due to a decrease in the severity and the occurrence.
A Study of National Defense Traffic SoS Modeling Based on ROPI Hierarchical Method
Authors: Sun Dong , Guo Zhi Hui , Li Min Tang , Ma Wen Gang , Pu Xian Jun
Published: September 2014

The complexity of national defense traffic system of systems (SoS) has been increasingly emerging, and the national defense traffic construction has entered into a new stage for exploring emergence of SoS capacity. It is of great significance for promoting the construction of national defense traffic to model the SoS using the SoS theory. The SoS construction theory and hierarchical division method were used in this paper, the concept connotation of national defense traffic SoS was defined, and the traits were analyzed. Meanwhile, the ROPI hierarchical model for national defense traffic SoS was constructed, and the concept abstract mode was established.
An Improved FE-BE Method for Solving the Fluid-Structure Interaction Problems of Plates
Authors: Huang Zhen Wei , Zhou Qi Dou
Published: September 2014

This paper proposed a numerical approach called improved FE-BE (finite element-boundary element) method to solve the fluid-structure interaction problems of plate-like systems. In order to avoid the mesh of both faces of the thin plates, some dumb structures were added to make the plate systems closed. Thus the conventional FE-BE method can be adopted to solve this problem. The dynamic response equation of the inner region can be obtained by the FE method, and the acoustic added mass and damping coefficients of the exterior region can be obtained by the BE method. Then the final fluid-structure interaction equation can be easily solved. Numerical results of some examples are computed to demonstrate the validation of the present method. The comparison of numerical results and reference solutions shows that the proposed method is acceptable for solving the fluid-structure interaction of plates.
Factor of the Finite Rigidity of the Working Member in the Dynamics of the Vibratory Machine
Authors: Zviadauri Victor , Nadiradze T. , Chelidze M. , Tumanishvili G.
Published: September 2014

Vibratory transport and technological machines (VTTM) are widely used in the various spheres of the industry: for transportation of the friable and separate particles, their dosed supply, sorting and realization of various technological processes.One of the factors that has an influence on the process of vibratory transportation is elasticity of the working member bottom of a vibratory transportation and technologic machine.This problem is less studied in theory of vibratory transportation [1, 2].A system vibratory drive – rigid frame of the vibratory member – elastic bottom of the working member – friable load” is considered in the report and dynamical and mathematical models of their interaction are worked out.A systematic approach to the study of influence of the working member elastic bottom on the technologic process is used and some results of the research are presented.It has been established with the help of developed models that at coincidence of phases of vibrations of the working member frame and elastic bottom rigidly fastened to it a speed of transportation of the friable material (load) rises significantly. On the bases of the mentioned result a new construction is developed.
Ontology Construction and Semantic Modeling Method Research of Education Resources within the Architecture of Cloud Service
Authors: Yang Bo Xiong , Huang Jing , Liu Kun , Ni Yu Hua , Tong Xin , Gen Wen Bo
Published: September 2014

These will be the future direction that set up the cloud service platform of teaching system, provide the equilibrium of high-quality educational resources and benefit people in the near future. But the scalability of the current description model for educational resources is insufficient, which is difficult to meet the requirement of semantic description in the cloud services of educational resources. Furthermore, it is more difficult to achieve the automatic management and search of the cloud services, and seriously impact the sharing and interoperability of the cloud services among different systems. To solve these issues, the paper emphases on the educational resources within the smart cloud architecture for regional service as the main object of study. Meanwhile, the basic concepts, logic relation and formal expression of various kinds of educational resources is analyzed, ontology modeling and semantic expression is adopted, and the massive semantic information is efficiently reasoned by the high-performance parallel computing, all of which is the purpose to discover knowledge and obtain the required education resources accurately and efficiently.
Analysis of the Construction of the Library Information Resources from the Perspective of Big Data
Authors: Li Yang
Published: September 2014

The advent of big data era brings new development and opportunities for the construction of library information resources. This paper analyzes the impact of big data on the library at home and abroad, and points out the necessary new reform of construction of library information resources in colleges and universities from the perspective of information resource configuration. Under the big data environment, library should develop the data analysis service of big data information resources, establish the literature resources allocation scheme with circulation data as the assessment indicator and develop towards intelligent library.
Research on Software Implementation of Human Reliability Analysis in Power System
Authors: Tang Jun Xi , Bao Ying Kai , Shi Peng Jia , Liu Wen Hai , Wang Tai Ping , Guo Chuang Xin
Published: September 2014

Human error has become a serious threat to the power system operation reliability and safety. As the research of human reliability in power system continues, some quantitative methods were proposed for the power operation safety assessment. In this paper, the implementation of a human reliability evaluation system for assessing the human reliability associated with power system operation is discussed. Firstly, the software architecture of the system is given. Then the detail function design is presented. Practical experiences show that the system could be a useful tool and have an extensive application prospect.
A Study on the Influence of Website Traits on Purchase Willingness in the Perspective of Innovation Diffusion Theory
Authors: Yang Lu Ming , Zhang Jun Yan , Li Yu Ting , Wan Hai Bo
Published: September 2014

Previous researches have indicated that the number of online shoppers in China has been experiencing a slow-down while the enthusiasm of e-commerce enterprises remains the same as before and online market competition has been fiercer. Therefore, to attract online shoppers and propel them to complete the transaction have become the key to success for e-commerce enterprises. Based on related literature research, this study explores deep into the relation between website traits and shoppers’ cognitive trust, enjoyment as well as their purchase willingness. Innovation Diffusion Theory, “S-O-R” Model and Structural Equation Model are also applied in this research. It is shown that website traits such as compatibility, complexity, observability and trialability, exert a positive effect on shoppers’ enjoyment and cognitive trust. What’s more, the influence enjoyment exerts on shoppers’ cognitive trust and purchase willingness as well as the effect cognitive trust has on purchase willingness turns out to be positive.
A Hybrid Simulate Annealing Algorithm Based on Aircraft Emergency Dispatching System
Authors: Fang Jie , Li Ping , Xia Hong Shan
Published: September 2014

Airlines aircraft emergency dispatch affects the operation efficiency and flight benefits in emergency situation. The system operations control center (SOC) of airlines must generate the best dispatching solutions to make a rational organization for surplus aircraft. On the basis of considering aircraft plan regulations and cost, the research construct surplus aircraft dispatching model, using heuristic pretreatment method to generate surplus aircraft routings for reducing the solution space and decreasing the original algorithm complexity. It presents an approach on hybrid simulated annealing algorithm to solve the aircraft dispatching problem. The specific instance at the end of the paper verifies the algorithm generate practical surplus aircraft solutions for airlines in the acceptable time.
Knowledge Sharing Research on Web 2.0
Authors: Wu Bing , Zhang Chen Yan
Published: September 2014

As Web 2.0 services emphasize the integration of distributed information and applications on a network, we gleaned from science citation index expanded (SCI-EXPANED) and Social Sciences Citation Index (SSCI) database on web of science, concerning advances in collaboration research in Web 2.0. The result indicates that the number of publication literatures on this topic mainly distributes in recent 7 years, and citations reach climax of 22 in 2013. The main research territory is USA, accounting for 40%. And from the analysis of research area, Engineering accounts for 40%. Overall, the related research topics can be classified in four areas: annotation system for knowledge sharing, determinants of knowledge sharing using Web 2.0, adoption of Web 2.0 for knowledge sharing and knowledge sharing successes in Web 2.0.
Government Microblogs: Innovative Approaches for E-Government
Authors: Zhou Li Jun
Published: September 2014

As one of the typical social media categories, microblogs have become the hot vehicle for online communication and interaction since 2006. Not only individuals, but also organizations are all fascinated to open their own microblogs. Government microblogs launched by Chinese governmental agencies have showed the blowout development since 2011. These microblogs devote to release public information, guide public opinions, promote government and place images and fulfill administrative transparency. This paper will introduce the development of government microblogs in China and articulate suggestions for effective utilization of government microblogs as a vehicle for e-government.
A New EWMA Loss Control Chart with Adaptive Control Scheme
Authors: Yang Chung Ming , Yang Su Fen , Lin Jeng Sheng
Published: September 2014

A single chart, instead of and R charts or and S charts, to simultaneously monitor the process mean and variability would reduce the required time and effort. A number of studies have attempted to find such charts. Moreover, a number of studies demonstrated that the adaptive control charts may detect process shifts faster than the fixed control charts. This paper proposes the EWMA loss chart with variable sample sizes and sampling intervals (VSSI) to effectively monitor the difference of process measurements and target. An example is used to illustrate the application and performance of the proposed control chart in detecting the changes in the difference of the process measurements and target. Numerical analyses demonstrated that the VSSI EWMA loss chart outperforms the fixed sampling interval EWMA average loss chart and the Shewhart joint and S charts. Therefore, the VSSI EWMA loss chart is recommended.
Analysis of Data Backup and Recovery System
Authors: Wu Zi Qiang , Li Hui
Published: September 2014

With the development of data backup technology, there have been a variety of current disaster recovery system model. This paper has chosen three data backup and recovery system to introduce and analyze according to the current basic data backup and recovery system model, designed to make the reader have a clear and thorough understanding of the current disaster recovery system that has already established.
Sentiment Analysis of Chinese Micro Blog Using Machine Learning and an Improved Feature Selection Method
Authors: Chen Jia Hao , Wu Jian Hua
Published: September 2014

With the rapid development of Internet and occurrence of social media services, many users are becoming the creators of social information. However, the normal manual work can't deal with a large number of subjective messages. As a new kind of social media service, micro blog has been widely accepted and can be used for sentiment analysis. This paper compared performances of three machine learning methods on sentiment analysis of Chinese micro blog. We also proposed an improved feature selection method that increases the accuracy of classification. Experiment results show that SVM is closed to Naïve Bayes and they are better than logistic regression in most cases.
Multi-Attribute Decision Making Method Based on the Satisfaction under Interval-Valued Intuitionistic Fuzzy Environment
Authors: Gui Mei , Huang Yue Lin
Published: September 2014

In this paper, it discussed multi-attribute decision making (MADM) problems in which the information about attribute weights is incomplete and decision-making information is characterized by interval-valued intuitionistic fuzzy number (IVIFNs), decision-making method is proposed based on the satisfaction. First, we define positive and negative ideal point of the comprehensive attribute values and satisfaction function, and make use of satisfaction function to establish a multi-objective optimization model, apply this model to determine the attribute weight vector, calculate the comprehensive attribute values, rank the alternatives according to the score function and precise function of the comprehensive attribute values. Finally, the examples are given to show that the method is reasonable and effective.
Predicting the Shelf-Life of Single Base Propellants
Authors: Choi Myoung Jin , Park Hyung Ju , Yang Jaek Yung
Published: September 2014

Ammunitions stored in war fields have lifespans that are related to the single base propellants, as Nitrocellulose (NC), the main component of propelling gunpowder, decomposes naturally into an unstable substance, similar to other nitric acid esters. Decomposition is inevitable; however a decomposition product (NO2, NO3, and HNO3) and tranquillizer DPA (Diphenylamine), which have high reactivity, can be added to a propellant to restrain the induction of automatic catalysis by a decomposition product. The decay rate of the tranquillizer is also affected by the production rate of the decomposition product of NC. Thus, as the storage period of single base propellants lengthens, the reduction rate of the tranquillizer content increases. This paper presents a new methodology based on data mining and regression analysis for estimating the shelf-life of single base propellants using data from the ASRP to 105mm HE (KM1 and M1).
Research on the Technology Spillovers Effect of Import in the Yangtze Delta Region
Authors: Yang Xiao Wei
Published: September 2014

Import is an effective way to absorb technology spillovers. This paper firstly uses cointegration theory to analyze the technology spillover effect of import in the Yangtze Delta Region. The results show that import plays an important role in technological progress in the Yangtze Delta Region. Finally, this paper points out the policy implications of the above findings.
Smart Sustainable Development Approach and its Implementation in Engineering Organizations
Authors: Ivascu Larisa , Izvercian Monica , Potra Sabina , Cioca Lucian Ionel
Published: September 2014

This paper explores the concept of sustainability in engineering systems and proposes a smart conceptual framework for engineering organization development. Sustainability is a critically complex goal for enterprise activity and development. Sustainability in the engineering area requires a comprehensive and continue approach because, a) engineering activities are ubiquitous in society, b) of the high importance of engineering applications in the development of the companies and of the world, and c) technological support becomes imminent in a dynamic economic environment and sustained in large part by technological advances. This paper aims to provide to the engineering environment a smart conceptual framework that establishes links between engineering processes and the concept of sustainable development. The smart conceptual framework combines basic principles of sustainability with the requirements of engineering systems.
Guiding Strategy of Autonomous Learning under the Network Environment
Authors: Huang Le Hui , Gui Bin
Published: September 2014

The network plays more and more important role in contemporary university students’ study and life. By the virtue of large capacity of information, wide coverage, high transmission speed, non-restriction of time and space, the internet has become an important tool of students’ autonomous learning. What’s more, because the university learning is relatively relaxed, students have more free time to arrange. Therefore, training students’ independent learning ability becomes more and more important. In this paper, through the analysis of problems exposed in autonomous learning under network environment,find that teachers should give full play to the guiding role under the network environment, and according to these problems, put forward four strategies to guide the implementation of autonomous learning.
Research on Recommendation Algorithm of Matrix Factorization Method Based on MapReduce
Authors: Xia Hui
Published: September 2014

Matrix factorization is a collaborative filtering recommendation technique proposed in recent years.In the process of recommendation,each prediction depends on the collaboration of the whole known rating set and the feature matrices need huge storage. So the recommendation with only one node will meet the bottleneck of time and resource. A MapReduce-based matrix factorization recommendation algorithm was proposed to solve this problem.The big feature matrices were shared by Hadoop distributed cache and MapFile techniques.The MapReduce algorithm could also handle multi-λsituation.The experiment on Netflix data set shows that the MapReduce-based algorithm has high speedup and improves the efficiency of collaborative filtering.
Research on Offline Access Control Management Mode of Temporary Houses in Universities
Authors: Zhang Hui Lin , Li Wei , Tong Qiu Li , Yin Shi Xue
Published: September 2014

It introduces the existing problems in the temporary houses management in universities, analyses the improvement the access control system based on campus card brings, expounds the authorization mechanism of offline access control system, the design of the structure of the access control document in the card and the authorizing and validating processes, emphasis the fully integration of the access control business and the temporary houses management business.
Forward
Causal Feedback Model for the Dynamic Simulation of Kindergarten Operation
Authors: Lung Tsai Yun
Published: September 2014

This research uses iThink software of system dynamics as the research tool, and establishes a causal feedback diagram of a kindergarten operation. The feasibility of this model was tested finally. When influence some factors of the profit to change fast, it can offer and change profits predict immediately. In this way, the operator find about method to improve management then avoid risks faced ahead of time.
Research of Distributed Search Engine Based on Hadoop
Authors: Wu Zhen Quan , Pan Bing
Published: September 2014

Combined with the Map/Reduce programming model, the Hadoop distributed file system, Lucene inverted file indexing technology and ICTCLAS Chinese word segmentation technology, we designed and implemented a distributed search engine system based on Hadoop. By testing of the system in the four-node Hadoop cluster environment, experimental results show that Hadoop platform can be used in search engines to improve system performance, reliability and scalability.
Digital Library Knowledge Service Model Research Based on Mobile Cloud Computing
Authors: Yao Min
Published: September 2014

Digital library cloud service is the development and extension of traditional digital library knowledge services under the environment of mobile cloud. Meanwhile, it’s also the new stage of knowledge services development. Based on the analysis of mobile cloud technology services model and its advantages, taking “end”, ”tube”, ”cloud” as the main line, this paper build up digital library mobile cloud knowledge services model from three aspects: knowledge collecting, knowledge processing and knowledge using. Thus, it point out the opportunities and challenges faced by mobile cloud services and present the strategies of implementing knowledge cloud services.
An Effective Nonparametric Quantile Regression Method for Solving the Crossing Problem in Data Fitting Process
Authors: Wang Huan , Huang Jian Yuan , Yuan Yong Sheng
Published: September 2014

Nonparametric quantile regression method can be used as the first choice for some biostatistical data. Since the nonparametric quantile regression curves are estimated individually, the quantile curves can cross, leading to an invalid distribution estimation for the response. A simple nonparametric quantile regression method is proposed to avoid the crossing problem. The method uses nonparametric conditional density function estimate instead of the conditional distribution estimate to assure quantile regression function monotonous. Both a simulation study and an analysis of real salmon lustrousness data show the significant improvement of the method in solving the quantile crossing problem for some kind of biological data.
Hopf Bifurcation Analysis in a Modified Optically Injected Semiconductor Lasers Model
Authors: Zhang Jiang Ang , Du Wen Ju , Yao Kutorzi Edwin
Published: September 2014

In this paper, a modified optically injected semiconductor lasers model is studied in detail. More precisely, we study the stability of the equilibrium points and basic dynamic properties of the autonomous system by means of nonlinear dynamics theory. The existence of Hopf bifurcation is investigated by choosing the appropriate bifurcation parameter. Furthermore, formulas for determining the stability and the conditions for generating Hopf bifurcation of the equilibria are derived. Then, a numerical example is given.
Grey Target Decision Model of Hesitant Three-Parameter Interval Grey Number
Authors: Yang Bao Hua
Published: September 2014

A new uncertainty information representation—hesitant three-parameter interval grey number is put forward, and its distance estimation approach of hesitant three-parameter interval grey number and sequence are studied. Based on the distance definition of hesitant three-parameter interval grey number, the paper defines the ideal optimization scheme is the positive clout and the ideal inferior scheme is the negative clout of the grey target and comprehensively considers the optimization and the positive off-target distance, and base on the spatial analysis, defines the comprehensive target distance. In the last, the model validity and practicability is demonstrated by example.
An Improved Estimation of Distribution Algorithm for Dynamic Voltage Scaling Problem in Heterogeneous System
Authors: Kang Yan , Wang Zhong Min , Lin Ying , Zhang Yi Fan
Published: September 2014

Energy consumption can be optimized by utilizing dynamic voltage scaling that conjointly adjusts the supply voltage and the operational frequency during the execution of the tasks to effectively minimize the energy. An improved estimation of distribution algorithm is presented for energy saving of the distributed embedded systems that consists of dynamic voltage scalable processing elements. The algorithm evolves computation by using the univariate marginal distribution to search the solution in a discrete space and mapping the solutions into feasible ones stratified the precedence constraint. The algorithm hybridize the genetic algorithm with estimation of distribution algorithm by combines statistically learning and sampling the probability distribution of the population iteratively and the conventional evolutionary operators such as crossover and mutation together. Simulated annealing is utilized to accept some bad solution rather the elite solution to make fully use of the global and local information. Experiments are implemented to demonstrate the performance of the algorithm
An Adaptive Stacked Denoising Auto-Encoder Architecture for Human Action Recognition
Authors: Wu Dao Xi , Pan Wei , Xie Li Dong , Huang Chao Xi
Published: September 2014

In this paper, a stacked denoising auto-encoder architecture method with adaptive learning rate for action recognition based on skeleton features of human is presented. Firstly a Kinect is used for capturing the skeleton images and extracting skeleton features. Then an adaptive stacked denoising auto-encoder with three hidden layers is constructed for unsupervised pre-training. So the trained weights are achieved. Finally, a neural network is constructed for action recognition, in which the trained weights are used as the initial value, covering the random value. Based on the experimental results from the Kinect dataset of human actions sampled in experiments, it is clear to see that our method possesses the better robustness and accuracy, compared with the classic classification methods.
IBA-II: Another Item-Based Algorithm of Learning from Examples
Authors: Lin Yuan
Published: September 2014

Another novel algorithm of learning from examples is presented. A significant deference between a traditional algorithm with the new item-based algorithm is that the traditional algorithm must scan in example space (i.e. scanning the given examples one by one) to obtain the needed heuristic information, while the new item-based algorithm scans in item space (i.e. scanning items one by one) and then executes some simple calculations to obtain the same heuristic information as the traditional algorithm to do. Owing to the two facts that an item can contain thousands of examples and that the time expanded on scanning an item equals to the time on an example, the ability of the new algorithm has been revolutionarily increased, so that it can treat efficiently with the learning tasks with mass data, with which the traditional algorithms cannot deal.
An Image Retrieval Algorithm Based on HVS Weighted Color Features
Authors: Song Lin Lin , Wang Qing Hu , Pei Zhi Li
Published: September 2014

This paper introduces a HVS Weighted color features’ extract method. Firstly, we split the image into sub-blocks and draw the color feature consists of dominant colors in each sub-block. Then weighting the gained color features by making use of Human Visual System. So we can obtain the weighted dominant color feature. Comparing with traditional histogram method and split blocks dominant color method, the experiment results show that the proposed algorithm based on weighted dominant color feature has better retrieval precision.
Body Recognition Based on Depth Image
Authors: Zhang Jian , Song Wan Juan
Published: September 2014

The text introduces the research status of depth image in the pattern recognition and the application in the body recognition. Aiming at the problem that the image recognition shot by common camera has declined performance under the factors of illumination, posture, shielding, and the like, the body parts are distinguished and judged by taking Kinect equipment promoted by Microsoft as the platform, analyzing the features of the depth picture obtained by the Kinect camera and putting forwards to the local gradient features of comprehensive point features and the gradient features; and the elbow is taken as the example to argue simply .
Feature Analysis and Selection of SAR Image Based on Contourlet Transform
Authors: Huang Shi Qi , Su Pei Feng , Wang Yi Ting
Published: September 2014

Synthetic aperture radar (SAR) is a sort of microwave remote sensing imaging radar, which has much advantage. But it also has much shortcoming, such as speckle noise and directional sensitivity. Reducing impact of them to SAR image processing and applications is an important content, especially, extracting features for ground objects. Contourlet transform is a kind of multi-scale and multi-direction transform theory, and it is a sparse representation mode, too. This paper mainly studied Contourlet transform theory and its decomposition structure, and then it was used to extract SAR image features. Experimental results show that Contourlet transform can effetely extract SAR image features.
Insulator Species Recognition Based on Difference Features of the Color Image
Authors: Yang Wu , Yang Hong Ye , Gao Qiang
Published: September 2014

This paper proposed a new method of feature description for insulator species recognition. A method of calculating the difference was defined. The three component value matrixes of an image in HSI space were converted to difference value matrixes successively. Then the difference value, shape and angle features of each region and each color were described. Experiments showed that the proposed method can be applied to describe the actual aerial images, and achieved the recognition of insulator species.
The Implementation of Parallel Speed up Stereo Matching Based on Reduced Graph Cuts
Authors: Zhou Ping , Liu Mei
Published: September 2014

The Many stereo matching problems can be converted to energy minimization problem, by establishment of special network graph to obtain the minimum graph cut, and then obtaining the optimal solution. For graph cuts algorithm, complete network graph include all vertices and disparity edges, the computation of time and space is huge. In this paper, we put forward a method by combing local and global stereo matching, set up a reduced network graph by the possible disparities values for each pixel, and then global optimization, to slove the maximum flow polynomial through CUDA parallel computing, greatly reduced the consumption of time and space.
A Framework for Stream Data Mining over Wireless Sensor Network
Authors: Zhang Yan Qiu , Tu Min , Xu Yuan , Li Yu
Published: September 2014

A wealth of stream data is produced in the application of wireless sensor network (WSN). The knowledge in stream data can be extracted by data mining and it is useful for decision making. However, it is challenging to apply classical data mining methods on the scenario of WSN due to the factors such as limited power supply, on-line mining, data conversion and dynamic topology. This paper proposed a framework for distributed data mining by combining the existing approaches with the intrinsic property of WSN.
Research and Simulation for Vegetation Health Index Detector Based on Remote Sensing
Authors: Lin Nan , Li Dong Ming
Published: September 2014

Vegetation health index detector obtained by remote sensing is analyzed. Remote sensing information of wide range vegetation is complex since there are a lot of plants with their own spectral characteristics in a certain area. After absorbing the light, some light sensitive characteristics will have some change, which lead to the change of the entire vegetation health spectral curve. In traditional method, vegetation health is shown by the spectral remote sensing characteristic curve of green plant. There will be some misjudgment if the spectral remote sensing characteristic curve is distorted. Reflectance spectral characteristics analysis algorithm with classification constraint for the plant health is discussed in this paper. Traditional detection method is optimized according to the data classification theory. With the support of the optimization, wide range vegetation spectral characteristics can be distinguished and the interference of wide range of strong light is avoided. The new method can decrease the vegetation health detection fallacious rate, and it is showed in the simulation result.
LSD Based Pose and Position Estimation for UAV Landing
Authors: Liu Xin Ying , Liu Ping Ping
Published: September 2014

Currently, there has been growing interest in unmanned aerial vehicle (UAV) during the landing. With the widespread use of the UAVs, a more precise estimation on pose and position in the process of landing is required to support the higher-level applications. In this paper, the estimation of pose and position based on the line segment detection (LSD) is proposed. By applying a vision camera, a landmark is detected using the effective LSD algorithm. Then a line-based vision model is built to calculate the pose and position of the UAV. Experimental results show that the state solutions of the proposed method are effective with different shape of landmarks, and the accuracy is minute-level in pose angle error and centimeter-level in position error.
Methods of Path Identification and Processing in Freescale Intelligence Car
Authors: Jia Chao , An Wen Qian , Bo Xu Fang , Chen Xiao Fang
Published: September 2014

It is based on the Eighth National College "Freescale" intelligent vehicle competition, this contest requirements to make a model car which can identify the road on the model vehicle platforms independently. If the model car completes contest in accordance with the line for the shortest time that it is winning. Therefore, researching various types of track and the path tracking approach of each group model car is particularly important. First it describes the various types of track, and then describes track recognition principle of each group by using corresponding sensors in detail, finally it analysis how to use sensor to deal with all kinds of circuit method, so that the model car can be quickly and securely through a variety of track, and in the shortest time to reach the end.
A Facile Method to Measure pH and Calcium Content of Different Kinds of Eggs by Ion-Selective Electrodes
Authors: Yuan Peng , Shan Peng Fei , Liu Yu Hong , Liu Quan , Chen Jian Jun
Published: September 2014

In this article, a facile method to measure pH and calcium content of different kinds of eggs by Ion-selective electrodes was presented successfully. First of all, we used pH electrode to measure the pH value of egg yolk and protein respectively. For the native egg, yolk’s pH was 6.20 and protein’s pH was around 9.45. But the fresh egg yolk was different from the native hen egg, yolk’s pH was 6.20 and protein’s pH was approximately 9.20. Then, we chose calcium ion selective electrode to measure calcium content in the eggs. When it came to calcium content, there was an obvious difference between the native hen egg and the fresh egg. Calcium contents in egg yolk of the former ones are higher than that of the latter. Ion-selective electrode with these advantages makes it possible to measure composition content rapidly of eggs. This paper may be a guide to expand its application scope, further research must be continued in order to achieve big success.
Application of Back-to-Back Circuit in the Intelligent Wheelchair Charging Technology
Authors: Wang Li , Yang Rong , Zhang Xiu Feng , Ma Yan
Published: September 2014

Intelligent wheelchair charging technology put forward a very high request to the stability of the DC bus voltage. This paper describes the three phase principles and topology with Back-to-Back, SVPWM is used to the voltage-source PWM rectifiers, the principle of voltage and current double closed loop control system design the system. According to the principle of super-capacitor store energy for the load and construct their simulation model with SIMULINK. Simulation results demonstrate the feasibility of the above design method.
Partheno-Genetic Algorithm for the Permutation Flowshop Scheduling Problem with Maximum Waiting Times
Authors: Wang Bai Lin , Li Tie Ke , Wang Hai Feng , Shi Can Tao
Published: September 2014

A permutation flowshop scheduling problem with maximum waiting time constraints to minimize makespan is studied, and a partheno-genetic algorithm (PGA) is presented. In PGA, the fitness function is defined as a decreasing function of makespan to enhance the selected opportunity of good individuals; the roulette algorithm for chromosome selection is improved to keep population diversity with high quality by three strategies: optimal maintenance, fitness adjustment and roulette reconstruction; single-point gene exchange operators are applied to generate offspring. Numerical results demonstrated the feasibility and effectiveness of the algorithm.
Robust Control and Stability Analysis for Stochastic Systems with Markov Jump
Authors: Wang Cheng
Published: September 2014

Stochastic systems with Markov jump is a new type of stochastic system in recent years, which is a new field integrated by information, control and Markov process. This paper introduces the research history and the newest research trends of stochastic systems with Markov jump, and presents many widespread theoretical and application problems. Moreover, some new research topics and directions related to stochastic systems with Markov jump are proposed.
The Vector Control System of Induction Motor Based on Fuzzy Control
Authors: Dai Hui Liang , Song Jia Ling , Wu Shi Hao
Published: September 2014

Classical control theory method often cannot obtain good static and dynamic performance in speed control system of asynchronous motor that is multivariable, nonlinear and strong coupling. However, with the application of modern control theory, it can effectively improve the operating performance of system in a complicated environment. This paper introduces the basic principle of vector control system and establishes the simulation model of vector control system of asynchronous motor. Meanwhile, according to fuzzy control theory, this paper shows a design of fuzzy controller and it is applied to the vector control system of speed adjusting module. Finally, it uses Matlab/Simulink to simulate and it verifies that Fuzzy vector control system response faster has better stability and stronger robust performance compared to the traditional vector control.
Key words: induction motor; vector control; fuzzy control
Chaos Anti-Synchronization between Chen System and Lu System
Authors: Wu Xian Yong , Wu Hao , Gong Hao
Published: September 2014

Anti-synchronization of two different chaotic systems is investigated. On the basis of Lyapunov theory, adaptive control scheme is proposed when system parameters are unknown, sufficient conditions for the stability of the error dynamics are derived, where the controllers are designed using the sum of the state variables in chaotic systems. Numerical simulations are performed for the Chen and Lu systems to demonstrate the effectiveness of the proposed control strategy.
Simulation and Analysis on Load-Sensing Swash Plate Piston Pumps Based on AMESim
Authors: Tang Lan , Li Zhuo Qing , Gao Tao Tao
Published: September 2014

Relations between different parts are analyzed based on the structure of load-sensing swash plate piston pump. The models of piston pump and the servomechanism are set up by AMESim and connected with load-sensing steering system. The pressure and flow rate response under different rotation speed without priority valve is researched. The result shows such piston pump model can always response quickly and provide reasonable pressure and flow rate that fit the steering demands.
Application of Intelligent Track Guiding Control Algorithm on the Temperature Control of the Water Bath of a Specific Container
Authors: Wang Wen Biao , Ge Zhan Yuan , Wang Si Yuan , Chen Shuang
Published: September 2014

Aiming at the water bath temperature control system of great inertia, pure time-delay, non-linear and time changeable characteristics, a kind of simple and practical control algorithm is put forward in this paper：ITGC (Intelligent Track Guiding Control). ITGC and PID control system was carried out respectively step response test and the disturbance test in the MATLAB/SIMULINK simulation platform; And can be successfully applied in practical projects. Studies have shown that: ITGC control on the overshoot and adjustment time are better than the conventional PID method, the control scheme has stronger robustness and anti-jamming capability under various operating conditions and an increase in external disturbance case. Successfully resolved the difficulty of time-varying parameters and large lag in the temperature control system.
Intelligent Track Guide Control for Hearth Negative Pressure
Authors: Wang Wen Biao , Mu Dong Dong , Wang Si Yuan , Ge Zhan Yuan
Published: September 2014

Hearth negative pressure is an important indicator of steam boiler. It's stable or not only directly affect the coal’s combustion efficiency but also an important parameter to ensure safety production. In the process of control, it has the characteristics of time-varying, nonlinear and coupling. In order to solve this problem, this thesis introduces Intelligent Track Guide Controller(ITGC) control scheme. ITGC principle is that transform the classic PID’s "objective control" to "process control". The ITGC simulation results were compared with PID, and simulation results show that: ITGC control scheme is better than the classics PID scheme in overshoot and settling time. Under a variety of conditions, the ITGC control scheme have an anti-interference ability. Applying ITGC to steam boiler’s hearth negative pressure control, it is fully capable of such a control system which have a multi-couplings and time variation.
Research of Digital Resource Integration Based on DC Metadata Storage
Authors: Du Liang , Liu Tao
Published: September 2014

Digital resource integration is the inevitable trend of library development at present. The author introduces international and domestic representative digital resources integration systems and proposes the goal of digital resource integration. This paper describes the construction process of digital resource integration system based on Metadata storage, including the construction of DC metadata storage, united research system and resource scheduling system.
A Decentralized Bandwidth Allocation Scheme for Long-Reach Passive Optical Network
Authors: Miao Fang , Feng Li
Published: September 2014

This paper proposes an alternative solution for Long-Reach Ethernet passive optical networks. The proposed scheme enables directly communication between ONUs for the transmission of local traffic and control messages, and each ONU calculates bandwidth allocation independently without participation of OLT to remedy the long propagation delay of LR-PON. This scheme also supports centralized control by OLT to change ONUs’ parameters synchronously. Simulation results show that this scheme can effectively reduce the end-to-end packet delay, while maintaining high throughput in uplink channel.
BER Performance Analysis of MIMO-CPolSK Using on Free-Space Optical Communications
Authors: Lin Yi Ming , Yuan Xue Guang , Zhang Yang An , Zhang Jin Nan
Published: September 2014

Enslaved by atmospheric turbulence and transmission power, performance of Free-space Optical Communication (FSO) fluctuates greatly. A new communication system of MIMO-CPolSK combined the MIMO system and CPolSK modulation is proposed in this paper. According to the strength of turbulence, different mathematical models of atmospheric channel are adopted. The BER calculating formula of SISO-CPolSK is proposed at first, then the BER performance of MISO-CPolSK and MIMO-CPolSK system is presented. The result of numerical simulation shows that BER performance is greatly promoted in MIMO system and compared to OOK modulation, the SNR of receiving in CPolSK modulation is reduced about 3dB when the system has the same BER performance under the same condition.