bluuebunny/crossref_metadata_2025 huggingface dataset:
A Study on HT32F1765 MCU-Based in Smart Home Gas Monitoring
Authors: Qiao Dan Yang , Gao Feng Qiang , Lin Xin Ming , Wang Zeng Zheng , Lin Zi Jian
Published: September 2014

With the rapid development of today's society, air pollution is becoming one of the hottest topics of humans’ concern. Looking at the daily life, some peoples’ awareness in the dangers of indoor air pollution and household gas safety is not enough, so it may lead to a number of respiratory diseases, or "sub-health" conditions. (Such as influenza, pharyngitis and other diseases) On the other hand, some families, because of a gas leak, has not been timely warning of fires and caused the tragedy. To solve these problems, this work is designed based on low-power microcontroller as the master chip HT32F1765 100LQFP between the various smart sensors and did data exchange with the home environment monitoring system. The HT chip use as the master chip and combined with using Sharp PM2.5 gas sensors, temperature and humidity sensors, gas concentration sensor as gas sensing devices. We use all these sensors as information collection module, to collect the data information of air quality, temperature, humidity and combustible gas concentration in different rooms and different locations. The real-time data acquisition and sensor would be displayed on the touch screen. In addition, the creation of data monitoring hardware devices, as well as match the mobile phone in APP. Our users can log on the APP remotely to view home monitoring information, or to receive alarm information.. Thus, adults can safely work outside, avoiding unnecessary worry.
The Research of Travel Time Estimation Based on Vehicle License Plate Auto Recognition System
Authors: Li Ying Hong , Li Zhao
Published: September 2014

This Paper proposes a quick matching method for vehicle plate data based on NoSQL database technology considering the huge amounts of traffic information, the method uses the basic traffic network information database which built based on vehicle license plate auto recognition system and it improves the effectiveness and applicability of huge data-matching. Besides, the paper fits the travel time by the time priority principle, and estimates the average travel time by the mean estimation and median estimation according to sample capacity. The practical application shows that this method can effectively improve the efficiency of the mass data processing, and obtain travel time information quickly.
Mechatronic Systems in Mechanical Engineering
Authors: Zhang Bai Jun , Wei Wang
Published: September 2014

With the continuous innovation and development of China's science and technology, as a set of information across many disciplines , mechanics , electronics and other technology for the integration of mechanical and electrical integration has been an unprecedented development , this technology has also been widely used in the engineering machinery. It makes reference to the technology of mechanical engineering automation or semi-automated as possible , thereby greatly increasing the accuracy and precision mechanical engineering jobs.This paper describes the key technologies and applications in mechatronics engineering machinery.
Theoretical Analysis on Retro-Reflected Wave Power Based on “Cat-Eye” Effect in Defocusing Condition
Authors: Zhang Meng Xi , Lv Yong , Li Xiao Ying , Geng Rui , Sheng Li Guo
Published: September 2014

Retro-reflected wave power of cat-eye target is an important factor for active laser detection system, which can evaluate high or low cat-eye effect of photoelectrical device. Theoretical and experimental results show that retro-reflected wave power will rapidly decline with defocusing distance increases and the decline more notable in negative defocusing condition.
Research and Design of Intelligent Agricultural Management System Based on Zigbee
Authors: Ming Xin
Published: September 2014

Data transmission on sensor nodes is realized through data fusion processing, as well as software and hardware design of sensor node. Feedback process is performed on agricultural environment as it transfers to the terminal device finally. This paper has designed a kind of data fusion hue which could immediately perform pixel-level fusion processing after sensor nodes obtain information, and put forward that the data fusion algorithm (KDF) based on Kalman filtering could be applied for data fusion processing of system. Mesh network is constructed on the basis of hardware by sensor nodes based on ZigBee wireless communication protocol .Thus this overall set of intelligent monitoring and processing center which integrates user management, data analysis, and information issuing into an organic whole is designed.
Have I Ever been to this Place? A SIFT Based Method for UAV
Authors: Zhang Ming Jiang , Liu Liang , Zhang Jing Jing , Wang Wan Guo , Wei Chuan Hu , Zheng Tian Ru
Published: September 2014

Flight duration is a key design issue for the monitoring applications based on the UAVs. Based on the assumption that UAVs often fly at a high altitude, the resolution of images captured by the UAVs is not high enough. Thus, the problem of positioning the UAV can be solved by image matching. When a UAV comes to a certain place that it has ever been to, there are the same objects in the images that it takes currently and a short time ago. We propose a text retrieval like method based on SIFT vectors for computation efficient in image matching. Experiments show that our method is good at discriminating between images taken at different places.
Usability Evaluation of Eye Tracker-Based Smart Phone APP GUI Design
Authors: Chang Fang Yuan
Published: September 2014

Usability evaluation of eye-traker based smart phone APP Graphic user interface (GUI) use innovative visual factors separate concept to design three A/B tests, thoes viusal factors are color, icon and layout. Within area of interest (AOI) method collect eye-tracking data by eye-tracker such as time to first fixation on-target, repeat fixations/ post-target fixation, number of fixation per area and percentage of fixation. As a resualt, through test and data analysis find optimal GUI prototype. This usability evaluation method is a new way of APP GUI prototype usability research and is capable of being widely used in relevant research.
Classification of Apple Varieties Using FT-NIR Spectroscopy and Possibilistic Learning Vector Quantization
Authors: Wu Bin , Li Xiang , Qiu Sheng Wei , Wu Xiao Hong , Li Min
Published: September 2014

Red Fuji, Huaniu and Gala were classified by Fourier transform near infrared (FT-NIR) spectroscopy and possibilistic learning vector quantization (PLVQ) which was proposed to solve the noise sensitivity problem of fuzzy learning vector quantization (PLVQ). Firstly, apple NIR spectra were measured by FT-NIR spectrophotometer. Secondly, principal component analysis (PCA) was used to compress the dimensionality of NIR spectra which was high dimensional. Thirdly, fuzzy c-means (FCM) clustering was run to termination to obtain the cluster vectors for PLVQ. Finally, PLVQ was performed to classify the data. Experimental results showed that this classification method was fast, nondestructive and effective for classifying the variety of apples.
Modeling and PID Control of Single-Stage Inverted Pendulum System
Authors: Jin Yu Qiang , Lei Jun Wei , Liu Di
Published: September 2014

The dynamic model is obtained based on researching the structure of single inverted pendulum system in this paper. Mathematical model of inverted pendulum that is close to the working point is deduced by linearization. A PID control algorithm is put forward by analyzing the factor of influencing inverted pendulum stability. The effectiveness of proposed algorithm is verified by simulation. This algorithm has the features of high control precision and good stability.
Experimental Study of Nozzle Characteristics by Drainage Method
Authors: Qu Da Wei , Sa Zhan Cai , Fan Lu Yan , Ma Jun Yan
Published: September 2014

The characteristic of nozzle jeting is affected by injection frequency, gas pressure in the piping and duty cycle of the control signal.The experimental study is in order to determine nozzle’s opening frequency, duty cycle and pipe pressure affect to the gas flow rate using a drainage method, nozzle opening frequency and duty cycle are controled by mototron platform and ATI Vision calibration software,while using pressure transmitter to measure the change of pipe pressure relationship with duty cycle and frequency.
Semiconductor Quantum Dot Photodetector for High Speed Space Optical Communication
Authors: Zhao Mao Tai
Published: September 2014

Space optical communication has become a promising application as a real-time and high-speed data rate in the near future. In this paper consider into account the cut off frequency of the photodetector in the space optical communication. We analyze an appropriate quantum dot infrared photodetector for high speed response. The analysis shows PN junction structure photodiode with the wide asdin the absorption window should be designed carefully to achieve both high sensitivity and high speed.
The Design and Simulation of Missile Internal and External Loops with Dual PID Control
Authors: Wu Jin Huang , Lei Jun Wei , Shi Jian Hong , Liu Di
Published: September 2014

A class of height double PID controller based on posture stability is designed in this paper aim at simplified dynamics model of missile pitch channel linearization and simplified model of missile height kinematics link. The implement process of using matlab software simulink toolbox is introduced in detail. Secondly, The transfer function calculating algorithm which solves nonlinear link in simulink using matlab language linmod function is proposed in this paper aim at nonlinear of height kinematics link. Finally, the bode diagram of whole system is obtained and the stability margin of system is analyzed by computer simulation.
Application on the Rifle Grenade of One-Dimensional Trajectory Correction
Authors: Li Yan An , Wang Jin Zhu , Liu Qiu Sheng
Published: September 2014

In order to raise the rifle grenade accuracy of firing and strengthen infantry to the future applicability of modern warfare, this paper has been in progress to application on the rifle grenade of one-dimensional the trajectory correction technology. The position in the modern war of rifle grenade with the effect was pointed out in this paper. From now available one ties up the trajectory correction technology to set out, and several kinds of ballistic trajectory identification knowing the feasibility that the method was applied on the rifle grenade comparative analysis, and the trajectory identification based on sequence of velocity-time was done simply the introduction. Possess the guidance meaning to follow-up one dimension the application study on the rifle grenade of trajectory correction technology.
Distortion Analysis in the Axial Offset Parallel Video System
Authors: Liu Shuang , Shan Ming Cai , Kong Xiang Jie
Published: September 2014

This paper discusses the origins of image distortions in the axial offset parallel video system and how to improve viewing comfort. The types and characteristics of image distortions in some stereoscopic video systems are presented first. The geometry equations of stereoscopic camera and display systems are deduced then. The typical distortions in the axial offset parallel video system can be got and the key factors of image distortions can be found out by the analysis on these equations. These distortions include depth non-linearity, puppet theater effect and cardboard effect, shearing distortion. The simulation software is programmed for verification and analysis of above distortions, which are plotted by the variation of system parameters.
Radio Resource Allocation Algorithm Based on Bargaining Game Theory for LTE System
Authors: Yin Han , Zhang Duo
Published: September 2014

With the rapid development of wireless communication technologies, users could get many kinds of services and applications now. And as the number of users and the amount of traffic are growing, the contradiction between the infinite demand of users and the finite radio resources is getting increasingly apparent. According to this situation, this paper propose a radio resource allocation algorithm based on bargaining game theory for fourth generation long term evolution (LTE) system, with which the network could balance the situations of users in different classes and enhance the utility of users. The simulation results show that the proposed algorithm could allocate the radio resources efficiently and provide users with higher utility.
Structural Coupled Imaging of Multi-Physical Data Using Damped Least Squares Technique
Authors: Zhou Jun Jie , Meng Xiao Hong , Ren Li , Wang Jun , Zhang Sheng
Published: September 2014

To improve the algorithm of the structural coupled imaging technique, a method using damped least squares is adopted to calculate the structural component of model updates instead of the truncated SVD solution, which produces multi-physical structural coupling images with high efficiency. A synthetic model test shows better performance and the cross plots reveal a convergence characteristic, which indicates the potential of improved structural coupled imaging algorithm.
The Convergence of the H-P Version of the Finite Element Method with Quasi-Uniform Meshes for Three Dimensional Poisson Problems with Edge Singularity
Authors: Zhang Jian Ming , He Yong
Published: September 2014

This paper is concerned with the convergence of the h-p version of the finite element method for three dimensional Poisson problems with edge singularity on quasi-uniform meshes. First, we present the theoretical results for the convergence of the h-p version of the finite element method with quasi-uniform meshes for elliptic problems on polyhedral domains on smooth functions in the framework of Jacobi-weighted Sobolev spaces. Second, we investigate and analyze numerical results for three dimensional Poission problems with edge singularity. Finally, we verified the theoretical predictions by the numerical computation.
An Approach to Judge Impact Factor of Driver Decision-Making Research Based on Grey Relation Entropy Analysis
Authors: Li Jia Yang , Song Mei Xia
Published: September 2014

Because driver decision-making is a complicated process, static factors and dynamic factors should be considered in research on driving model in Intelligent Transportation microscopic study. In this paper, Grey relation entropy analysis method is used to judge the degree of importance in the whole factors.Experiment in this paper provides Grey relation entropy analysis is very effective to calculate the rank of these impact factors of driver decision-making.
Analysis on Factors Influencing and Numerical Simulation of Hot Stamping Mold Cooling System
Authors: Yang Hong Mei
Published: September 2014

Cooling system is an important component of hot stamping dies, directly affects the quality and performance of the product. This article studies the work of hot stamping die process variation in temperature and heat transfer methods, analyzes the main factors affecting the cooling effect, and the use of numerical simulation of the flow of cooling water to simulate the state, and proposed rationalization proposals.
A Statistics-Based Data Placement Strategy for Hybrid Storage
Authors: Yang Yuan Hua , Xu Xian Bin , He Shui Bing , Wen Yu Hua
Published: September 2014

Although hard disk drives have been popular over several decades, there still exists the deficiency because of their slow speeds and high power consumptions. By contrast, flash-based solid state disks exhibit good performance and low power consumption. However, the limited lifetimes become a fatal flaw of solid state disks. In order to take full advantage of hard disk drives and solid state disks, we design a hybrid storage system to make them work in a complementary manner. Further, we propose a data placement scheme for this system to determine the data placement on the underlying solid state disks or hard disk drives based on the data access statistics. Experiment results show that the lifetime of solid state disks and the response time of the system can be significantly improved compared with the alone storage media.
Study on Model for Structural Reliability Based on Dynamic Interfering Theory
Authors: Liu Xiao Yan , Ma Xing Bin , Diao Bai Qing , Xu You Lin , Wang Qun
Published: September 2014

The intensity of a product is regard as the degradation process during the whole product life, and as the confrontation process with the stress imposed on the product. Dynamic interfering strength theory proposed for structural reliability, we constructed the model for a element or a system in a continuous degenerate procedure varying with time t. A method of reliability evaluation is given for a kind of common sight strength and stress distribution.
The Special Form of Second Order Accuracy N-S Equations for Incompressible Fluid
Authors: Li Zhan Song , Zhu Shi Jiang
Published: September 2014

Classic N-S equation has first order accuracy in both of time and space. It has only the terms of first order, without the terms of second or higher order. These terms are relative in time and space steps. The time and space steps, as basic elements of fluid research, should be only some finite quantities and not be infinitely near to zero as defined in mathematics. If the terms of second or higher order can be ignored depends on the value of the corresponding derivative multiplied. Compared with terms of first order, the terms of second or higher order can be ignored under the condition of laminar flow. However, under the condition of turbulent flow, these can’t be ignored yet. When turbulent flow develops fully, the terms of first order, compared with terms of second order, can be ignored. So, it is why classic N-S equations aren’t closed when they are used to analyze turbulent flow. On the basic, many different special forms of the second order accuracy N-S equations of incompressible fluid are derived.
Study on Reconstruction Property of Revolved Surface Based on B-Spline
Authors: Sun Ruo Can , Liu Dan , Zhao Ji Qing , Qian Ying Ping , Yi Guo Feng
Published: September 2014

B-spline curve parameters were estimated by the least squares. The influences of the scanning angle to point cloud density was discussed. In the case of scanning distance and horizontal being sure, the smaller the vertical scanning angle, the larger point cloud density, it can reflect the characteristics of the surface cross-section more accurately. The factors affecting the accuracy of the surface reconstruction were discussed. The surface fitting order has a greater degree of influence on the accuracy of surface reconstruction. When the surface order was 4 and the number of control points was 75, the surface-point cloud deviation was 0.188mm by the segmented fitting.
Research on Data Copy Technique Based on Cloud Storage
Authors: Qin Jun , Zong Ping
Published: September 2014

Copy technique is one of the key technologies to ensure data safe and reliable on cloud storage. It is believed that research of copy technique plays an important role in the development and promotion of cloud storage. In this paper, the open source HDFS is used as a platform to analyze the features of copy management and the current problems on cloud storage. Considering the user variability on cloud storage, a dynamic copy redundancy strategy is given, which is based on file popularity. In this strategy, we calculate the current file popularity, which depends on different weights given by different access frequency
Digital Growth Model Research on Repent Stem of Grasses
Authors: Yin Ying Ying , Chen Li Fei
Published: September 2014

To establish digital growth model of Kentucky bluegrass repent stem, and study growth process of Kentucky bluegrass repent stem in coordinate system. After observing and studying growth data we found that there is a quick-slow-quick growth rhythm in the growing process, and the growth model of length is established according to the growth rhythm. Then using RMSE statistical methods to verify the model, the results indicates that the growth model is in line with grasses repent stem natural growth rhythm and has a certain degree of reliability and accuracy, it can describe the growth of repent stem exactly.
The Optimization Algorithm and Applied in Soil Fertility Evaluation Based on Data Mining
Authors: Ma Li , Chen Gui Fen
Published: September 2014

Clustering, rough sets and decision tree theory were applied to the evaluation of soil fertility levels ,and provided new ideas and methods among the spatial data mining and knowledge discovery. In the experiment, the rough sets - decision tree evaluation model establish by 1400 study samples, the accuracy rate is 92% of the test. The results show :model has good generalization ability; the use of rough sets attribute reduction, can remove redundant attributes, can reduce the size of decision tree decision-making model, reduce the decision-making rules and improving the decision-making accuracy, using the combination of rough set and decision tree decision-making method to infer the level of a large number of unknown samples.
Hand Grasping Choice and Analysis for Tasks
Authors: Xu Tao
Published: September 2014

Resulting in an optimal grasping pose of satisfying task requirements is a critical problem for hands manipulation. Based on the problem, taxonomy of grasping poses was created. This paper presents key-based search method that can obtain all hand manipulation poses matching the grasped object. However, these grasping pose must be ranked by combining with task requirements and object geometry. In this way, optimal grasping pose can be achieved. The effectiveness of the method was demonstrated by using grasping pose taxonomy comparisons from motion capture example database.
Distance Learning Classroom Communication System Based on Cloud Computing
Authors: Tang Yan
Published: September 2014

The centralized model of B / S structure is adopted in the current distance education learning classroom, there are some drawbacks of this model, like the resource duplication, crowded user access, poor system scalability and so on. Adoption of cloud computing technology can collect all the distance learning classroom resources to build a "cloud" platform, students can easily access the resources they need by using different terminal devices locally. By analyzing the meaning of cloud computing, application mode and characteristics of cloud computing, the building contents and methods of distance classroom "cloud" is proposed.
Simulation on Data Energy-Efficient Scheduling Model of Cloud Computing
Authors: Guo Hong Liang , Yu He Long
Published: September 2014

Under the cloud computing environment, massive data is widely used in many fields. In the face of cloud computing environments with massive data center, an efficient scheduling model need to be established. In order to solve massive data processing inefficiencies, redundant business systems and data silos and other issues, this paper proposes a scheduling model of migrating technology based on efficiency optimization virtual machine to meet the massive data efficiently scheduling requirements. Experimental results show that the improved algorithm can effectively advance the efficiency of cloud computing massive data scheduling, with high feasibility and applicability.
The Application of Cell Mapping to Dynamic Modeling and Control
Authors: Guo Ling Li , Wang Ye
Published: September 2014

A dynamical system modeling method based on cell mapping is proposed in order to describe the system statistic property, and then a discrete optimal control table is constructed through each state cell excited by all input level recording the optimal cost value at the same time. Finally, a demonstration of the method is shown for the time optimal blast temperature set point control of a sintering machine.
Dynamics Analysis and Experiments of an Underactuated Cable-Truss Mechanism
Authors: Liu Rong Qiang , Shi Chuang , Wu Nan , Guo Hong Wei
Published: September 2014

While many researchers have investigated the dynamics analysis of underactuated mechanisms in recent years, little work has been published on that with underactuated cable-truss mechanism. Dynamics analysis has important significance in the research of trajectory planning, driven project designing and the optimization design of the mechanisms. The mechanism dynamics equations were established based on Lagrange equation and the dynamics equations corresponding to the capture scheme that has been chosen were separately listed. To prove the correctness of the dynamics analysis, the simulation of the capture scheme was presented. Some capture experiments were done in order to verify the adaptive capture function of the underactuated cable-truss mechanism.
An Invariant Electronic Descriptor for 3D Model Retrieval
Authors: Zou Kuan Sheng , Zhang Qian , Zhang Zhao Jun , Zhang Jian Hua
Published: September 2014

With the rapid development of 3D scanners, graphic accelerated hardware and modeling tools, the use of 3D model databases throughout the Internet is growing, and this trend should continue. Thus, there is an urgent demand for effective 3D model retrieval methods and systems. In this paper, a novel rotation invariant and effective 3D object retrieval approach called electronic descriptor is presented, which is a combined shape distribution by considering the randomly selected points on 3D surface as electrons. Experimental results show that the proposed method is superior to other shape distribution based methods.
Parallel Optimization the AES Algorithm Based on MapReduce
Authors: Zhang Shao Min , Gan Yu Fang , Wang Bao Yi
Published: September 2014

Considering the confidentiality and integrity of big data in cloud storage, a MapReduce-based AES parallelization scheme is designed by using MapReduce framework of the open source Hadoop in this paper. The scheme takes full advantage of MapReduce and modern cryptography technologies to parallelize AES encryption and decryption process, in the way of data decomposition, which speeds up the efficiency in the implementation of encryption and decryption. Meanwhile, mix plaintext, separate storage and other technical means are taken into account in this scheme to ensure the confidentiality and security of the key and the ciphertext. By analyzing the performance, it is proved that the time consumption of new scheme is significantly reduced comparing with the traditional method.
Research on Algorithm of Distributed Reactive Power Optimization Based on Cloud Computing and Improved NSGA-II
Authors: Wang Bao Yi , Yin Hao , Zhang Shao Min
Published: September 2014

A distributed reactive power optimization algorithm is put forward based on cloud computing and improved NSGA-II (fast non-dominated sorting genetic algorithm) in this paper. It is designed to solve problem of multi-objective reactive power optimization with huge amounts of data in power grid, whose difficulties lie in local optimum and slow processing speed. First, NSGA-II's crossover and mutation operator are improved based on Cloud Model, so as to satisfy the adaptive characteristics. In this way, we improved global optimization ability and convergence speed when dealing with large-scale reactive power optimization. Second, we introduced cloud computing, parallelized the proposed algorithm based on MapReduce programming framework. In this way, we achieved distributed improved NSGA-II algorithm, effectively improved the calculation speed of handling massive high-dimensional reactive power optimization. Through theoretical study demonstrated the superiority of the algorithm to solve the Multi-Objective reactive power optimization.
The Bionic Wing with Winglet in Near Space Aerodynamic Analysis
Authors: Xin Hua , Ji Zhang , Lei Ming
Published: September 2014

With reference to a certain type of flying drones with imitation airfoil design a seagull flat wings and on the basis of its wing tip winglet in this paper. Through to the numerical simulation of two wings, it is concluded that the bionic wing aerodynamic performance is superior to the conventional airfoil wing, after adding wing tip winglet bionic wings effectively reduced the downwash velocity, reduce the induced drag, makes the wing aerodynamic performance is improved. Provide theoretical reference for the design of the uav wing
Combined Forecasting Model Based on BP Improved by Particle Swarm Optimization and its Application
Authors: Li Run Ya , Liu Xiang Nan
Published: September 2014

The BP neural network as the traditional prediction method has certain advantages, but it has some drawbacks, Such as slow convergence and sensitive to the initial weights, etc. The PSO algorithm is introduced into the neural network training, using the particle swarm algorithm to optimize the neural network weights and threshold. Through the establishment of the particle swarm - BP neural network model for power load budget, it improves the accuracy and stability of the forecast.
Single Machine Multiple Common due Dates Assignment Based on Common Flow Allowance and Resource-Dependent Processing Times
Authors: Luo Cheng Xin , Feng En Min
Published: September 2014

This paper studies a multiple common due date assignment problem on a single machine. The job-dependent due dates are obtained based on common flow allowance criteria. We assume that the processing time of a job is controllable by the resource amount assigned to it. The objective is to find the optimal multiple common dues, the set of jobs assigned to each due date, the sequence of jobs and resource allocation scheme to minimize a total cost based on earliness and tardiness of jobs, the common dues and resource cost. We propose an optimal algorithm to solve the problem.
Uniform Parallel-Machine Scheduling with Deteriorating Jobs and Rejection
Authors: Zhang Qi , Luo Cheng Xin
Published: September 2014

This paper considers uniform parallel-machine scheduling with linear deterioration and rejection. The processing time of a job is a linear increasing function of its starting time and jobs can be rejected by paying penalties. The objective is to find a schedule which minimizes the time by which all jobs are delivered. We propose a fully polynomial-time approximation scheme to solve this problem.
Dynamic Resources Connected in Cloud Based on Trust of Node
Authors: Yao Lei Yue
Published: September 2014

The nodes in cloud environment are allowed to connect with each other through internet. Some malicious nodes in cloud will bring unsafe issues. The work used a trusted method to select a trusted node to connect. AHP method is used to compute the weight for each factor of the node, and constructed a model to evaluate the node’s trust value in a comprehensive way. The example shows that the method is a simple, but an effective way, which can be used in a cloud environment.
Vehicle Security Distance Control Based on Binocular Parallax Vision
Authors: Liu Shuang , Kong Xiang Jie , Shan Ming Cai
Published: September 2014

Binocular parallax vision system is a kind of computer vision technology. Two cameras on different locations can get two different pictures of same object. The space position of the object can be calculated by the parallax information of two different pictures. The binocular parallax vision technology includes cameras calibration, image processing, and stereo matching analysis. The paper will introduce the inside and outside parameters calibration methods, and combing the traffic applications, designed the calibrating scheme. The parameters that obtained according to the scheme can meet the demands of measuring the vehicle distance. The high precision can meet the needs of intelligent transportation vehicles in a security vehicles spacing survey, which is an effective way for measuring the front car distance.
Thermal Effect Simulation of CCD Irradiated by Laser
Authors: Niu Chun Hui , Li Xiao Ying , Li Xiang , Wu Min
Published: September 2014

We make ​​a preliminary analysis of the process during pulsed laser damages CCD from the aspect of detector’s thermal effect by it.We build simulation model of CCD irradiated by laser.The simulation results show that silica damage energy density threshold range between 1-5.8 J/cm2. This magnitude doesn’t appear to be much different from previous data. So it shows that simulation results are believable.
An Evaluation Method for Water Quality with Similarity Measures of Vague Sets
Authors: Zhang Kun , Chen Mei Yi , Wang Hai Feng , Li Zhuang
Published: September 2014

The new formulas for similarity measures between Vague sets will be used as pattern recognition method based on similarity measures in water quality evaluation. The application example shows that this method is not only convenient in calculation, but also practical in results.
Scheduling Algorithm for High-Mobility User in LTE Downlink System
Authors: Ni Jun Hong , Zhou Yi , Zhao Zhen Dong , Peng Peng , Xiao Rui Ju
Published: September 2014

Frequency diversity scheduling allocates whole system bandwidth to a user in order to conquer deep fading of the sub-band when user with high-mobility. Though OFDMA technology mitigates interference of users in same cell, it increases interference of cell edge user as base stations use same frequency. Thus, we developed a frequency diversity fairness scheduling algorithm to balance fairness of cell center user and cell edge user. It is demonstrated by computer simulation that the proposed algorithm increases user fairness of the system with same system throughput and fairness between cell edge user and cell center user. It also points out that the algorithm proposed has the same complexity with the frequency diversity scheduling algorithm.
Kinematic Analysis of 5-UPS Parallel Machine Tool Based on Adams
Authors: Cai Lin
Published: September 2014

In this paper, the kinematics of 5-UPS parallel machine tool is analyzed, and a kinematic analysis method combining kinematic analysis and computer kinematics software is proposed. Under the premise that the parallel machine tool sector parameters is known, firstly we use the vector method to establish a mathematical model of inverse kinematics, and in accordance with a U-shaped processing trajectory the inverse solution is calculated; Secondly, three-dimensional model of the parallel machine tool is modeled in Adams, and kinematic constraints are set correctly; Finally, the inverse kinematics solution of the mathematical model is used as the Adams drive input, then the positive solutions is carried out. Compared through the Adams simulation results with U-machining path, it is verified that the inverse solution of the mathematical model and parallel machine tool bodies both are correct, it has certain significance for Parallel machine tools and other parallel robot kinematics analysis.
The Application of Minimum Spanning Tree Clustering in the Ontology Mapping Pretreatment
Authors: Cheng Jin Hui , Li Wan Long , Zheng Shan Hong , Han Dong
Published: September 2014

Screening candidates is the key step to improve the efficiency of ontology mapping. Minimum spanning tree clustering is one of the important ways of graph clustering algorithm. Defining the related concepts and methods first, according to the characteristics of the ontology file itself, Select graph clustering of minimum spanning tree clustering algorithm, To screening candidates of participate in the concept of mapping, Aiming at the deficiency and improvement of objective function in the algorithm, based on the system information entropy instead of the complicated calculation of similarity to supervise the clustering. To reduce the computational scale and improve the efficiency.
Improved Algorithm Base on Locally Linear Embedding
Authors: Liu Shi Min , Deng Yan Ni , Lv Yuan Xing
Published: September 2014

Locally linear embedding algorithm (LLE) , It makes up the shortcomings that the manifold learning algorithm can be only applied to training samples but not be extended to test samples . However, due to the presence of its Low-dimensional feature space redundant information,and its sample category information does not integrate into a low-dimensional embedding. For this shortcoming, here we introduce the two improved algorithms:the local linear maximum dispersion matrix algorithm (FSLLE) and the adaptive algorithm (ALLE), and the combinations of the above two algorithms.With this experience,combined Garbol and locally linear embedding algorithm (LLE) to compare each conclusion. The results proved to be effective elimination of redundant information among basis vectors and improve the recognition rate.
Fishing Vessel Safety Evaluation Algorithm Based on Cloud Model
Authors: Yao Jie , Wu Zhao Lin , Xu Zhi Yuan , Ren Yu Qing
Published: September 2014

The safety evaluation of fishing vessels is a system and uncertain problem. A fishing vessel safety evaluation algorithm based on cloud model was proposed in this paper. Firstly, we established index system and weights by the AHP; Secondly, the cloud generator completed the conversion between qualitative and quantitative indicators; Thirdly, the evaluation cloud model was achieved by the comprehensive cloud algorithm; Finally, the forward cloud generator restored the droplet distribution. Compared with the fuzzy comprehensive evaluation method, the experimental results show that our work is effective and accurate.
The Equivalence Relations Between Two Fuzzy Implications
Authors: Han Yuan Liang
Published: September 2014

A deep study on the equivalent conditions between and implications. Several equivalent theorems were given, which help to better understand the relationships between them, also enrich the content of fuzzy implication theory.
Hierarchical Control System for PV Microgrid Applications
Authors: Li Shen Qing , Xu Tian Jun , Zhang Bin , Yang Jun
Published: September 2014

DC microgrid can effectively play to the value and benefits of the distributed power supply, communication than micro grid-connected have the ability to stronger more flexible refactoring and therefore become a new trend micro grid-connected technology research. Based on photovoltaic DC microgrid as example, this paper aimed at the DC microgrid voltage stability problem, proposes a layered coordination control DC bus voltage, the method is based on the detection and control of DC bus voltage variation to coordinate photovoltaic battery energy storage interface, net side interface and the interface converter works, ensure that under different conditions can keep the grid-connected in active power balance. Using Matlab/Simulink simulation and experimental verification, the results verified the effectiveness and feasibility of the method.
Stepwise Regression Analysis of Factors Related to Total CPI Based on MATLAB
Authors: Ma Lin Na , Chen Xue Ying , Zhang Li , Huang Fu Yan Hong
Published: September 2014

According to the datas of CPI in different areas of Chinese mainland in the years of 2001 to 2012, eight factors had been selected, namely, food, alcohol, tobacco and supplies, clothing, household appliances and maintenance services, medical care and personal products, transportation and communications, entertainment, education, culture, service and living that consist of CPI to conduct stepwise regression analysis by the software of MATLAB. And the main effect factors were selected. Results suggested that the factors of food, clothing, household appliances and maintenance services, medical care and personal products, entertainment, education, culture, service and living had a strong impact on the CPI, alcoholic, tobacco and supplies could be eliminated, which illustrated the consumption trend of Chinese residents in the past 12 years.
Multi-User Financial Management Based on Data Sharing
Authors: Li Zhi Wei , Han Jia Wu
Published: September 2014

The comparative study of multi-user operating environment, establishing the feasibility of a multi-user architecture, financial management system (client/server architecture), to further explore the structure of the algorithm, taking into account the functions of financial personnel division and ease of operation compatibility with older systems and sex with portability.
Research on the Model and Algorithm for the Vehicle Scheduling in Pooling Pallet Distribution
Authors: Zhao Fang Geng , Shi Xiao Yan
Published: September 2014

In this paper, the vehicle scheduling model in pooling pallet distribution was established, and the genetic algorithm for the problem was researched. In the algorithm, the genetic algorithm and the idea of ant colony algorithm are integrated in the proposed two crossover operators, and the appropriate values of parameters were determined by experiments.
Computational Complexity of Training Algorithm for a Kind of Neural Network
Authors: Zhang Dai Yuan , Zhang Hao
Published: September 2014

This paper dose the theoretical analysis for solving the algorithm complexity of a neural network using rational cubic spline weight functions with linear denominator. It concludes that the time complexity of the training algorithm has linear relations with the neural network’s input dimensions, output dimensions as well as the number of samples.
A Recommendation System of Highway ETC Card Based on Decision Tree Theory
Authors: Ma Yu Ling
Published: September 2014

With the promotion of social information construction and the rapid update and replacement of large capacity storage equipment, the amount of data from every field grows exponentially. Reportedly, the amount of the data accumulated by Shandong Hi-speed Group is very large. These data can satisfy us some daily usefulness, such as query, retrieval, statistics, statements etc. But what is more important is that how can we discover some useful information from the information ocean. This information can be used in real life such as auxiliary decision. This paper is proposed in this historical background. Data mining is a powerful tool for acquiring knowledge from massive data. Some methods of data mining, such as decision tree, support vector machine, Bayesian decision theory, artificial neural network, k-nearest neighbor, association rule mining etc, are commonly used. In this paper, we design a recommendation system of highway ETC card by using the theory of decision tree. The recommendation system can predict whether a car owner is a potential ETC customer or not through the analysis of the vehicle information. Experiments proved that the accuracy rate of the recommendation system is larger than 90%, so it can provide effective information for the extension of China's ETC card.
Design and Implementation of OTP Base on MD5
Authors: Li Zhi Chao , Diao Jie Tao , Xie Qi You , Liu Jian Bin , Zhu Ce
Published: September 2014

Encryption of information is getting increasingly large attention, due to the popularity of internet and the advance of technology. One of the encryption algorithms, MD5, is commonly used in data encryption nowadays. In this paper, MD5 algorithm was briefly described and used to construct a dynamic password encryption technique with time parameters. This dynamic password has no internal relevance, which means the new password can not be derived using previous passwords. Generation of password also takes a relative short time frame, such that in theory the encryption system can not be breached.
The Music Retrieval System Based on the Frequently-Used Rules of Chinese Text
Authors: Sha Fei , Li Ying , Lv Zhi Sheng , Li Jian Fei
Published: September 2014

The conventional music retrieval system is mostly based on accurate matching of keywords, and it is difficult to satisfy the demand of intelligent retrieval. This paper presents a system of music retrieval based on the frequently-used rules of Chinese text. The system not only retains the conventional retrieval, but also is added the frequently-used rules of Chinese text that is “the attribute of the entity” (such as “the singer of the song”) into it. Firstly, the system segments the words of user’s query requests and checks that whether the user’s inputs comply with the rule of “the attribute of the entity”, and then it decides to adopt what kind of retrieval that is retrieval of text rules or conventional retrieval. The experiment proves that the system is better to satisfy the demand of user’s query requests than conventional music retrieval system while coping with the text rule of “the attribute of the entity”.
Humanoid Robot Arm Kinematics Modeling and Motion Planning
Authors: Du Qin Jun , Zhang Xue Yi , Zhai Shi Long
Published: September 2014

This paper establishes the kinematics model of humanoid robot arm, the arm forward kinematics equations were built and solved, based on the advantages of CCD (Cyclic Coordinate Descent) and BFS (Broyden-Fletcher-Shanno) algorithm to solve the inverse kinematics of humanoid robot arm. In the joint space, using cubic polynomial and quintic polynomial interpolation method respectively for each joint angle interpolation. Cubic polynomial trajectory planning can meet the point-to-point movement in general, but can not guarantee the continuity of acceleration of each point; Quintic polynomial trajectory planning can ensure that each point is continuous of the joint angle, angular velocity, and angular acceleration, so this polynomial method can meet the movement of the humanoid robot arm.
Research on Reactive Power Optimization Based on Genetic Algorithms in Distribution Network
Authors: Wang Lin Yuan
Published: September 2014

The reactive power optimization is formulated based on genetic algorithms in distribution net work. SGA has defects of slow convergence and being prone to immature convergence. In order to eliminate the defects, an improved GA is proposed in this thesis. CIP scheme is presented, which can guarantee diversity of the population by designing the initial population to obtain all the values within the definition area. A parameter called individual distributing degree is defined to describe how individuals are distributed in the definition area. Adaptive mutation rate is defined as an exponential function of the retained generations of the Elitism, and it is in inverse proportion to individual distribution degree. It accelerates the convergent process.
Adaptive Fuzzy Synchronization Design and Parameter Identification for Chaotic Systems
Authors: Meng Juan , Du Hai , Wang Xing Yuan
Published: September 2014

In this paper, a new fuzzy model-based adaptive approach for synchronization of chaotic systems with unknown parameters. Theoretical analysis based on Lyapunov stability theory is provided to verify its feasibility. Takagi-Sugeno (T-S) fuzzy model is employed to express the chaotic systems. Based on this model, an adaptive fuzzy controller and the parameters update law are developed. With the proposed scheme, parameters identification and synchronization of identical or nonidentical chaotic systems can be achieved simultaneously. Numerical simulations further demonstrate the effectiveness of the proposed scheme.
Modal Analysis of Excavator Boom Based on UG and ANSYS
Authors: Wang Ming Long , Ji Ai Min
Published: September 2014

Hydraulic excavator is due to the effects of vibration and shock may cause structural damage, and in view of this, we need to study its dynamic characteristics, so as to avoid or reduce this impact on when the machine is running. In this paper, using UG as modeling tool we built a small hydraulic excavator boom’s 3-D simulation model and under UG’s advanced simulation environment we called ANSYS as solver and after modal analysis of the boom, we extracted the first 15 modals and vibration modes, which provides the basis as do dynamic optimization excavator boom design.
Applications of Data Mining Algorithm in Equipment Fault Diagnosis
Authors: Li Rong Xiang , Zhang Zeng Lei , Liu Yun , Tu Shan Chao
Published: September 2014

The Basic Principles of Data mining Decision-tree ID3 is opened out. The main deficiencies are analysed. An improved algorithm based on the ID3 is calculated. For fault diagnosis of engine exemple, traditional ID3 algorithm and the improved algorithm are applied to estimate the fault diagnosis of engine separately. Decision Trees of traditional ID3 algorithm and the improved algorithm are construct. Experiment result display the accuracy of improved algorithm is better than traditional ID3. The improved algorithm is more fit to applied to the equipment fault diagnosis.