bluuebunny/crossref_metadata_2025 huggingface dataset:
A Wind Power Prediction Method Based on RBF Neural Network
Authors: Wang Yue Ren
Published: January 2015

With the interconnection of the large-scale wind power, wind power forecasting is particularly important to the dispatcher of power grid. Based on the historical data, this paper proposes a prediction method based on RBF (radial basis function) neural network. This method is based on the model taking the influence of the system input (wind speed, wind direction, historical power output data) on the predicting error into consideration to get the optimal input values. Examples with field data obtained from Northwest of China show the effectiveness and higher precisionof the proposed method.
Impact of Large-Scale Wind Power Penetration on the Static Voltage Stability Based on the L Index
Authors: Liu Rui Huang , Xue An Cheng , Li Ming Kai , Li Cheng Rong
Published: January 2015

This paper uses the L indexes to analyze the impact of large-scale wind power penetration on the static voltage stability of the power system. First it presents some common indexes in analyzing voltage stability. Then, it introduces the principle of the L index. After that, Simulation based on the L Index of a typical power system interconnected with large-scaled wind power shows the grid alternatives have a considerable impact on the voltage stability. Finally it gives the conclusions.
Application of RFID in the Intelligent Traffic System
Authors: Li Zong Bao
Published: January 2015

the technology of radio frequency identification (RFID) is an automatic non-contact identification technique, which uses radio frequency signal to recognize target automatically, and access to data of relevant information, and can effectively complete the rapid identification of traffic information system. In this paper, the characteristics and basic principle of radio frequency identification technology are described, the application of RFID in intelligent traffic management system for identifying vehicle identity information, automatic peccancy disposal, non-stop electronic toll collection are analyzed. The results show that, the application of RFID in intelligent traffic management system, greatly improves the management efficiency of traffic system, has bright application prospect.
The Research about Interference Location Based on Different Times of TDOA with Two Satellites
Authors: Feng Fei , Zhang Ya Sheng , Ou Bo , Chen Geng
Published: January 2015

In this paper, we propose an interference location method based on different times of TDOA (the time difference of arrival) which only used two satellites (the main satellite and its adjacent satellite).
Firstly, the model of interference location is built based on two different TDOA data and one spheroid model of earth. Subsequently, a series of practical data of communication satellites are calculated with this model and the trust-region method, aiming to test the validity of the proposed model. Furthermore, comparing with some other methods, such as some researchers based on TDOA and FDOA (the frequency difference of arrival) or TDOA method using three satellites, the result of our method is much more accurate (the interference could be located to 20 km successfully) and more available. Numerical simulations are made to verify the capability and validity of the proposed method.
Generation of Frequency 12-Tupling Millimeter-Wave Using one DPMZM to Overcome Chromatic Dispersion
Authors: Liang Dong , Tan Qing Gui , Jiang Wei , Li Xiao Jun , Zhu Zhong Bo
Published: January 2015

In this paper, a approach for frequency 12-tupling millimeter-wave generation using one DPMZM (Dual-Parallel Mach-Zehnder Modulator) to overcome chromatic dispersion is demonstrated. The millimeter-wave with the baseband signal carried only by minus 6-th order sideband is generated by properly adjusting a series of parameters. As the signal transmittes along the fiber, there is no time shift caused by chromatic dispersion. Theoretical analyses and simulated results show that when the optical mm-wave carrying 2.5Gbps baseband signal transmits over 55 Km, the eye diagram still keeps open and clear. The power penalty is about 0.7 dB after transmits over 40 Km.
Reconditioning Equalizer Filter for Non-Constant Envelop Signals
Authors: Li Xiang Fu , Wang Li Jia
Published: January 2015

A technique for a reconditioning equalizer filter for non-constant envelope signals is described. The input to a transmitter chain is modified by a reconditioning equalizer filter, prior to being applied to the transmitter. The reconditioning equalizer filter modifies and smoothens the amplitude of the signal. The modified and smoothened signal has its peaks reduced which results in lower Crest Factor. The input to the reconditioning equalizer filter could be a baseband, intermediate frequency (IF) or radio frequency (RF) signal. When the signal is an IF or RF signal, it needs to be down-converted to baseband before being applied to the reconditioning equalizer filter. The reconditioning equalizer filter could be performed in a digital or analog domain.
DOA Estimation for Uniform Linear Array with Compressive Sensing
Authors: Zhang Ying , Xin Guang Yao , Zhang Xiao Fei
Published: January 2015

This paper discusses that the application of compressive sensing in direction of arrival (DOA) estimation. Traditional DOA estimation algorithms, such as MUSIC, ESPRIT, have shortcomings of high demand of initialization and sufficient number of snapshots and high sensitivity to signal-to-noise ratio (SNR). The proposed DOA estimation algorithm via OMP method based on compressed sensing (CS) can solve the above-mentioned problem and has good estimation performance. Computer simulations verify the effectiveness of the OMP algorithm.
Design of Electrostatic Focusing System for Space Electron Beam Gun
Authors: Wang De
Published: January 2015

The developmental situation of space welding technology home and abroad is introduced. Then it’s put forward that the designing scheme and the computer aided design (CAD) method of main focusing system of the domestic space electron beam gun with equal-diameter three-cylinder electrostatic single lens. The parameters calculation of the focusing system is completed through language C utilizing computer programming and a satisfying result is gotten.The result shows that electron beam current disperse focusing is less, and the beam section is less in the deflection magnetic field, the beam spot radius on the workpiece is about 0.6300mm at least, and can meet the requirement of the space welding and cutting.
A Short-Term Distributed Load Forecasting Algorithm Based on Spark and IPPSO_LSSVM
Authors: Wang Bao Yi , Wang Dong Yang , Zhang Shao Min
Published: January 2015

To improve the accuracy of load forecasting and cope with the challenge of single computer’s insufficient computing resource, a short-term distributed load forecasting model based on LSSVM optimized by IPPSO is proposed. Uncertain parameters are optimized by improved parallel particle swarm algorithm which runs on the Spark on Yarn memory computing platform. The real load data provided by EUNITE is used, and experiments and analysis are conducted on an 8-node cloud computing platform. The results show that the accuracy of the algorithm proposed by our paper is better than the traditional functional networks algorithm, the efficiency of the algorithm is better than MR-OSELM-WA, and the algorithm has good ability of parallelization.
Modeling and Simulation Research of Time-Dependent Reliability Model of Link Rod in Needle Bar Mechanism
Authors: Gong Yan Jue , Zhao Fu , Xin Hong Bing , Xiang Hui Yu , Meng Chun Ling , Zhang Yuan
Published: January 2015

The time-dependent reliability model of Mechanical Component is influenced by many parameters such as stress, load, strength, strength degeneration and lifetime index. This paper builds the time-dependent reliability model when life is measured by the loading numbers. The variety law of mechanical component’s reliability with the lifetime is derived from the built model and simulation of link rod in needle bar mechanism used in the sewing machine. The result shows that the time-dependent reliability model is effective and the reliability of component decreases obviously with the loading numbers when the strength degeneration is considered.
The Application of Fuzzy Comprehensive Evaluation in Meteorological Mutation Identification of Load Forecasting
Authors: Niu Dong Xiao , Qin Hong Hao , Li Bing Jie
Published: January 2015

This paper studied the application of fuzzy comprehensive evaluation in meteorological mutation identification of load forecasting. It measured out a specific algorithm in meteorological mutation identification of ultra-short-term load forecasting, so that to improve the load forecasting accuracy and reduce the relative error. When using the fuzzy comprehensive evaluation method, set the membership function and factor right based on the characteristics of a province for the summer weather factors, and measure the mutation membership value with the appropriate operator, which can provide a reference for the study of meteorology identification. The result shows that using fuzzy comprehensive evaluation to identify meteorological mutation has good usability and accuracy.
Application of MetaSynthesis in Complex System Simulation
Authors: Kong Ling Jie , Li Jin , Zhao Xin Jun , Zhang Fang
Published: January 2015

Metasynthesis is the dialectical unity of reductionism and holism, which is the study methodology of complex giant system and complexity problem. Based on joint demonstrating of equipment system as an example, this paper studies the metasynthesis in the application of complex system simulation. Based on analyzing key technology about hall for workshop of metasynthetic engineering of joint demonstrating,the HWME(Hall for Workshop of Metasynthetic Engineering) of joint demonstrating of equipment system is established.
Cleaning Uncertain Database with Aggregate Constraints Based on the Modified Simulated Annealing Algorithm
Authors: Shan Ji Cheng , Liu Bin , Liu Qing Bao
Published: January 2015

In this paper, we investigate the problem how to clean uncertain data with aggregate constraints in order to reduce the uncertainty and clean the dirty data in uncertain data sets. We find the shortages by analyzing the existing model and methods for cleaning uncertain data with aggregate constraints. We modified the existing Object Function model in literature and designed an appropriate algorithm for our problem by studying the Modified Simulated Annealing algorithm. Our experiments verify the efficiency and effectiveness of our algorithm.
Electropalatographic Parameter Analysis of Single Consonant of Xiahe Tibetan Dialects
Authors: Li Yong Hong , Dawa Peng Cuo , Wu Han
Published: January 2015

Targeting at Xiahe Tibetan dialects and with 16 single consonants followed by vowel /a/ as the recording texts, the article analyzes the electropalatographic parameters such as AC, PC, VC, Ant, Pos, CA, CP, CC. The findings are as follows: 1. Plosives show more tongue-palate contact in front part of palate, with strong anteriority and centered tendency: 2. Fricatives show less contact than affricates of the same speech organ; 3. Lateral alveolar consonants have more tongue-palate contact, with strong anteriority and centrality, and weak posterity. 4. Nasals have bigger values in terms of all parameters. 5. The trill has more tongue-palate contact, with stronger posterity and centrality.
Energy Minimization Model Based Target Tracking
Authors: Sun Wei , Zhu Song Hao , Sun Cheng Jian
Published: January 2015

This paper proposes a novel method to deal with the target tracking. Specifically, the information of observation model, appearance model, exclusion model, dynamic model, trajectory persistence model and trajectory regulation model are first used to construct objective tracking functions; then, the gradient descent method is adopted to achieve an approximate minimum of the constructed objective functions, and to obtain the status of tracking targets; finally, continuous energy minimization based intelligent extrapolation method is utilized to obtain the final continuous and smooth trajectories. Experimental results on PETS 2009/2010 benchmark video database demonstrate the effectiveness and efficiency of the proposed scheme.
Research on Scheduling Model in Dynamic Environment Based on Computational Economy
Authors: Duan Li Jun
Published: January 2015

Efficient resource scheduling in dynamic environment reveals several challenges due to its high heterogeneity, dynamic behavior, and space shared utilization. In order to address this issue, a scheduling model based on computational economy was proposed in this paper. Firstly, the problem of resource scheduling was analyzed, and the essence of resource scheduling was concluded. Secondly, a scheduling strategy based on computational economy was presented. It applied the principles of economics and broker technology in its resource scheduling process. The strategy of the model synthetically considered two factors: execution cost and total complete time. An evaluation function driven by user’s needs was also built based on the two factors. Finally, the scheduling strategy was simulated. The result shows that the model can adjust the relation between price and time based on computational economy efficiently. It indicates that the model is an effective approach for resource scheduling.
Research on the Validation Method of Advanced Driving Simulators Based on the Speed Perception Model
Authors: Zhu Li Wei , Sun Yue , Zhang Zhi Yong
Published: January 2015

For the traffic safety or driving behavior research based on Advanced Driving Simulators (ADS), the validation of ADS which evaluates the effectiveness of ADS is the premise. In this paper, the validation method for ADS on the basis of the self-speed perception model is provided based on the related research findings and the speed sensitivity is determined as the main parameters of ADS validation evaluation model, which provides the effective support for the subjective validity assessment of ADS.
Shadow Removal Based on Multi-Feature Fusion of Multiple Moving Objects Scene
Authors: Yang Qi Sang , Wang Xiao Ling
Published: January 2015

This paper proposes a shadow removal method based on multiple feature fusion of multiple moving objects scene. First, extract the background image and foreground gradient image by using the detection algorithm which is based on intrinsic image. Obtain the edge information of the shadow by edge detection algorithm. The shadow of foreground gradient image is removed by edge difference analysis and morphological operations. Then, a shadow removal method based on invariant texture feature is used, which remove the shadow of object using edge information. Combined with the advantages of two methods, a method of shadow removal for moving objects based on multi-feature fusion is proposed.
Sorting Algorithm for Uniform-Distributed Data
Authors: Jia Yue
Published: January 2015

We describe a sorting algorithm,by which uniform-distributed data can be sorted,and sorting time is. This algorithm has been implemented in IBM PC using C language.
Two Conversion Formulas of Known Optimal Sequences
Authors: Zeng Fan Xin , Zhang Zhen Yu
Published: January 2015

This paper investigates the construction methods of sequences with optimal autocorrelation functions. The approaches proposed by us are to convert the known optimal sequences into the required sequences. In order to arrive at our goal, we establish two conversion formulas, and summarize their performance. The proposed methods can provide lots of candidates of spread sequences for the applications of code-division multiple-access (CDMA) spread spectrum communication systems.
Two Methods for the Expectation in Envelopes Pairing Problem
Authors: Qin Lei , Zhou Kang
Published: January 2015

This paper introduces two methods for solving the expectation in Envelopes Pairing Problem, one is that the random variable is expressed as the sum of n random variables and then solves its expectation; another method is put forward by this paper, that is, firstly the distribution law is derived from simple cases, then considers problems of general situation, gets the expectation of conjecture by simple cases, finally proves the conjecture with mathematical induction.
A Remote Sensing Ship Recognition Method Based on Co-Training Model
Authors: Guo Wei Ya , Wang Xiao Fei , Xia Xue Zhi
Published: January 2015

Aiming at detecting sea targets efficiently, an approach using optical remote sensing data based on co-training model is proposed. Firstly, using size, texture, shape, moment invariants features and ratio codes, feature extraction is realized. Secondly, based on rough set theory, the common discernibility degree is used to select valid recognition features automatically. Finally, a co-training model for classification is introduced. Firstly, two diverse ruducts are generated, and then the model employs them to train two base classifiers on labeled dada, and makes two base classifiers teach each other on unlabeled data to boot their performance iteratively. Experimental results show the proposed approach can get better performance than K-Nearest Neighbor (KNN), Support Vector Machines (SVM), traditional hierarchical discriminant regression (HDR).
A Smart Home System Based on Speech Recognition Technology
Authors: Li Wei , Cui Bai Hui , Zhang Fa Wei , Guo Xing
Published: January 2015

In order to enhance the self-care ability of persons with disabilities and satisfy people's demand for intelligent control home appliance, a smart home system based on Microsoft speech synthesis and speech recognition technology is proposed. After the initialization of the system, it receive voice commands which send by users, while the system distinguish the voice signal, the system will call voice feedback module and request users to confirm the voice instructions, after users’ confirmation, the system will record the voice command and convert it to electrical control code which can be recognized by the general household appliances’ control system. One voice command recognition time was within 30 ms and one speech interaction process was within 3 second which shows the simply and efficiently control for appliances based on speech recognition technology.
2D Bar Code Detection, Recognition and Application Research Based on NI VISION
Authors: Huang Fu Hai
Published: January 2015

In this paper a method of bar code detection and recognition is introduced, and discussed a combination of machine vision technology and virtual instrument, on this account, USB camera is used to capture images and detection and information extraction of the image of bar code, so user can store the function of product information. This method has very high recognition accuracy, speed and better practicality.
Research on Relational Database and NoSQL Based on XML Data
Authors: Jia Xin Wei , Shen Gui Cheng
Published: January 2015

With the rapid development of electronic commerce, huge transaction data is produced every day. How to store these data effectively and mine knowledge from these data has become the key urgent problem to solve. This paper first introduces the NO_SQL database MongoDB and its advantages. Then we have a compare on writing and reading performance between MogoDB and MySQL when storing XML document. Finally we have a conclusion that MongoDB has higher performance than MySQL by experiment, and No-SQL is a good choice when querying in massive data.
A Genetic Algorithm for Flow Scheduling in Data Center Networks
Authors: Yang Bo , Peng Wei , Zhou Xing
Published: January 2015

Traffic in today’s data center networks grows rapidly. Traditional routing and forwarding protocols in data center usually rely on static hashing, and may cause avoidable bottlenecks. We present a genetic algorithm to make better use of the resources. Our goal is to minimize the maximum single link utilization of the network. And results show that our algorithm performs better than a recent greedy algorithm.
A Universal Storage Architecture for Heterogeneous Data of Internet of Things
Authors: Leng Yong Lin , Zhang Qing Chen , Wang Yue
Published: January 2015

With the rapid development of the Internet of Things technology, IOT terminal equipments collect a large amount of data. So the preprocessing and storage become a big challenge. In this paper we presents a universal preprocessing and storage architecture for IOT data in cloud environment. In the data preprocessing module, with the sensor equipments are not stable, a large number of mistake, missing data will be produced, so we propose a imputation algorithm based on clustering to perform data preprocessing. For the data storage module, because of the existence of a large number of unstructured and semi-structured data, we present a storage architecture for heterogeneous data in cloud environment. Experiments show that our architecture can effectively complete the data preprocessing and storage, for the subsequent work, such as query data provides good support.
Self-Adaptive Particle Swarm Mutation Rate of Genetic Algorithm in the Link Optimization of Network Coding
Authors: Zhuo Xin Jian , Wang Han Wen
Published: January 2015

Considering a multicast scenario, we want to minimize the coding links used for network coding while achieving the desired throughput. This article solves the optimization of the network coding to get with the lowest coding link scheme by using APGA. According to the simulation results, it can be concluded that the better performance of APGA than the previous algorithms.
Design and Applications of Public Construction Energy Consumption Supervision System
Authors: Han Cheng Hao , Sun Heng , Wang Long Xu
Published: January 2015

s. This system adopts RS-485 bus-based data collection method and utilizes Oracle database to combine with network telecommunication technology and intelligent telecommunication technology. At the same time, it implements the real-time collection, transmission and analysis on electricity, water, gas,heat consumption and other energy consumption data. The system includes the simple and precise structure, collects each energy consumption data rapidly and provides the important technical supports for effective management and energy consumption control.
Value Mining of Product Reviews Based on Sentiment Analysis
Authors: Li Chun Peng , Guo Li Huan , Lin Nan
Published: January 2015

The paper digs out useful conclusions for businesses from the mass of product reviews. To conduct commodity pricing, merchandise improvements provide a basis so as to promote sales performance. The paper discusses the product reviews of emotional connotation. It summed up the current situation development of emotional analysis on product reviews. It analyzes the significant commercial value of product reviews. Product reviews explores the relationship between emotion and sales performance analysis. We can research the technical implementation process of reviews.
Carbon Nanotubes Non-Covalent Modified by Ionic Liquid Surfactant and its Optical Limiting Properties
Authors: Liu Jing Liang , Wei Zhen , Pan Peng , Zhang Hong Tao
Published: January 2015

The stability of the carbon nanotubes suspension is poor, resulting from the characteristic of insoluble in aqueous solution. Nevertheless, optical limiting devices need long-term stability. In the interest of finding effective and stable materials for optical limiting, we had tried to combine the multi-walled carbon nanotubes (CNTs) and ionic liquids surfactant (hydroxypropyl sulfo imidazoline) to obtain a new dispersion. Ultimately, we achieved non-covalent modification to carbon nanotubes. The electronic structure of the carbon nanotubes’ surface was protected integrality and the dispersion was stable and effective. It was verified by experimental observation through a field scanning electron microscopy (SEM). Finally we did a series of experiments to studied the optical limiting characteristics of the new dispersion. The results manifested that the dispersion system owned well optical limiting properties and better stability, at the same time, we also proved that the negative pressure environment could also do well to optical limiting effect.
A Virtual Environment for Simulation of Formation Flight
Authors: Xu Zhen Dong , Shang Tao , Sun Rong Min , Wang De Ming
Published: January 2015

This paper presents the design of Unmanned Aerial Vehicles (UAVs) formation flight control laws and then the virtual Environment setup of a nice structure for close formation flight. The images of the target airplane projected on the video-camera plane of the follower airplane are captured and processed into vision information The simulation setup includes airplane dynamics, autopilots and formation keeping controller and module that creates virtual environment for the simulation of the vision software called Unity3D. The UKF is applied to the relative motion estimator due to the highly nonlinear characteristics of the problem.
Influence of Different Temperature on Product Distribution Law of Waste Oil Steam Cracking
Authors: Feng Guo Qiang , Chen Shuang , Han Lei , Zhang Di
Published: January 2015

Waste oil as raw material, study the possibility of waste oil steam cracking to produce light olefins, and focus on pyrolysis temperature on liquid product distribution law. The experimental results show that light olefins yield increases with the pyrolysis temperature; Waste oil first ester fault occurs for a variety of long-chain fatty acids. As temperature increases, the various fatty acids gradually pyrolysis of a variety of small molecules, and its acid value decreased, aromatic compounds in liquid products gradually increased, and fatty acid content decreased. Study the liquid product with temperature variation can take the effective use of waste oil, waste oil for a partial substitute for naphtha to supple the steam cracking feeds.
Influence of Unavoidable Ions on Fine Cassiterite Gravity Separation
Authors: Yang Bo , Xiao Ri Peng , He Tao
Published: January 2015

In this paper, used hanging vibrating cone (HVC) concentrator to separate tailings overflow from shaping plant of China Tin Group under different conditions. Through analyzing the results of tests, founded that unavoidable ions in pulp have a great impact on fine cassiterite gravity separation.
Localised Corrosion Damage Based Fatigue Crack Extension Model of Aluminium Alloy with Prior Corrosion Damage
Authors: Xi Liang , Zhao Xiu Li , Shang Chong Wei , Kong Guang Ming , Zhou Si Yu
Published: January 2015

A modified model was presented for describing corrosion fatigue crack growth rate of aluminum alloy accurately. Considering the local damage around the crack tip is more reasonable for accelerating crack growth rate under corrosive environment, a damaged influence factors which characterize the damage degree of local damage near the crack tip has been introduced to revise the corrosion fatigue crack growth rate, and the experimental results are in good agreement with predictions of amendment fatigue crack growth rate model. The proposed model based on damaged influence factors is reasonable, and proposed a theoretical reference for aluminum alloy damage tolerance analysis.
Research on Mass Transfer Process of AMD Corrosion Reaction and Model of Deposition Calculation for Acid Load
Authors: Jiang Li Chun , Li Wei Wu , Zeng Jun Jia
Published: January 2015

Evaluate the influence instability by AMD corrosion based on the slope of a large-scale sulfide mine. On the basis of the corrosion experiment, carry out the researches on the solution ion change rules before vs. after evaluation; set up the mathematical expression of the AMD corrosion amount through the analysis of the corrosion mass transfer; establish the acid load deposition calculation model by AMD based on the oxidation mechanism analysis of sulfide ores; the engineering application indicates that, at the puddle, wells, sump and fracturing catchment areas, AMD acid load deposition was accumulated and the acid load is significantly higher than other area which is up to 500 mg/L; on the slope surface, as the time period affected by AMD is shorter, acid load is between 166~300mg/L; for the streams far away from mines, the acid load, less than 20mg/L, is at the minimum level. The model calculation result is consistent with the spot reality.
Study on the Oxygen-Rich Gasification of Municipal Waste
Authors: Wu Ling Nan , Hu Xiao Ying , Ma Cheng Long , Dong Chang Qing , Zheng Zong Ming , Yang Yong Ping
Published: January 2015

The gasification of municipal waste was a promising technology for the clean and effective disposal of municipal waste, the oxygen-rich gasification was thought to increase the heating value of the derived gasification gas. To get a better understanding of the effect of oxygen concentration on the reaction kinetics, TG analysis was performed using model municipal waste, the kinetic characteristics were obtained and corresponding model was built.
The Direct Observation of Fullerene-Like/Onions Dispersed in Amorphous Hydrogenated Carbon Films Deposited by Reactive Magnetron Sputtering of Ni
Authors: Zhang Bin , Zhao Jun , Zheng Xue Bin , Qiang Li , Gao Kai Xiong , Zhang Jun Yan
Published: January 2015

Amorphous hydrogenated carbon films deposited by reactive magnetron sputtering showed that nanoNi3C crystals, fullerene-like/onions structures as well as small curved graphenes dispersed in amorphous carbon matrix. It is believed that the migration of Ni atoms leads to the formation of the fullerene-like/onion structures as well as small curved graphenes at high pulsed bias.
The Research Situation and Development Trend of Weathering-Steel
Authors: Niu Jian Ping , Li Yu Jian , Zhao Li Xin , Han Yu , Gao Wei Min
Published: January 2015

In modern society, due to the improvement of industrialized and development of marine economy, pollutants in the atmosphere and water aggravation corrosion of steel structure, annual worldwide economic losses due to corrosion is astronomical figures. Hence, atmospheric corrosion resistance of weathering steel has a broad market prospect. In addition, it also has excellent mechanics, welding and other properties. This paper mainly discusses the structure, production process, performance organization and the effect of various alloying elements on weathering steel.
The Study of Relationship between Multivariate Capability Indices and Sampling Number
Authors: An Qi Yuan , Wang Shao Xi
Published: January 2015

ultivariate process capability indices (MPCI), as an important means of statistical process control (SPC), can be used to ensure the high reliability of semiconductors manufacturing process. However, the reasonable sampling number is an important factor when considering MPCI values. As general, the large sample number requires much effort and time, or even cannot be achieved. In this paper, we evaluated the impact of different sample size on the calculations of multivariate process capability indices using simulation and analyses. After getting enough data and choosing disparate sample numbers, corresponding multivariate process capability indices can be obtained, which demonstrate the relationship between sampling numbers and calculation results. The conclusions have critical guiding significance for manufacturing semiconductors with high reliability requirement.
Research on the Inspection and Mark on the Defects of Printed Matter Based on Template Matching Algorithm
Authors: Xing Shi Yuan , Liu Yan Qiu , Zheng Yuan Song
Published: January 2015

Defects inspection of printed matter that combines the image processing technology with printing principle is a kind of automatic detection method for high speed printing. In view of the displacement error, stains wrinkle, fuzzy words in the current printing industry, this paper has adopted template matching algorithm to compare the standard image and the detected image, followed by the neighborhood method to analyze, then extracted the defects and marked the defect location. This study has good anti-noise function and makes detection precision be controlled within 0.5mm×0.5mm.
Ultra Surf Flow Detection Based on Statistical Classification
Authors: Ren Xun Yi , Hu Han Qing
Published: January 2015

Unbounded browsing software is an application worked in Internet client. It uses a custom encryption protocol to break the traditional network filtering. In this paper, we can detect this application through classifying the Ultra Surf T mode (TCP packets) packets and using SPID. The experimental results show that we can effectively reduce the false alarm rate and detect the application accurately by classifying the Ultra Surf T mode (TCP packets) packets and using SPID.
Progress on Denitration and Desulfuration Technologies for Marine Diesel Engines
Authors: Liu Ya Qiong , Du Jia Zhen , Tan Pi Qiang , Du Ai Min
Published: January 2015

Exhaust emission regulations issued by International Maritime Organization (IMO) for marine diesel engines are given and formation mechanisms for several pollutant emissions are introduced. Main denitration and desulfuration technologies for reducing NOx and SOx emissions are seperately summarized. In addition, working mechanism of different emission control technologies and their applications on marine diesel engines are introduced. These different emission control technologies are analyzed by evaluating conversion efficiency, economy and practical performance, and existed problems and future technologies are given. A Combination of different denitration and desulfuration technologies is a inevitable trend for emission reduction of marine diesel engines.
The Research and Design of Monitoring System for Submarine Cables
Authors: Wang Ying Jian , Fan Xue Man , Yuan Feng , Hao Hai Bo
Published: January 2015

SOFC laid in complicated Marine environment, are extremely vulnerable to all kinds of external factors, and anchor damage is the biggest threat to submarine cable communication. In order to overcome the limitations of existing SOFC monitoring technology, the double M-Z distributed optical fiber sensing technology is selected to apply in on-line monitoring of SOFC, and the monitoring system is designed both in software and hardware. The optimization scheme of being in conjunction with monitoring and control system of SOFC is put forward in anticipation of the possible problem of false alarm in the future application of the monitoring system.
An Active Search and Rescue Device in Ruin Interstice: SnakeRescuer
Authors: Zhang Zhen , Mei Shuai , Cao Ya Fei , Zhang Yan An , Shang Hong
Published: January 2015

According to the ruins caused by disaster, a new kind of search and rescue device SnakeRescuer is developed, which can actively go into ruin interstices to search and rescue victims. Inspired by industrial endoscope and snake-like robot which usually are used in searching and rescuing, a new kind of mechanism is designed, which has advantages of both industrial endoscope and snake-like robot. It consists of multi-section crawler modules and the base body which some like industrial endoscope but thicker and more rigid. Each crawler module is made up of four track units and could be attached to the base body and could drive the device to go into the ruins. According to the ruins of the environment, the track drive unit is designed first. Then a control method for the drive unit is designed. Finally, some basic experimental results show that the device can be applied to ruin rescuing.
Aircraft Fuel Tank CATIA Model Pretreatment Method for Quality Property Calculation
Authors: Chen Yong Qin , Su San Mai , Chen Jin Ping , Chang Wei
Published: January 2015

According to the requirement of aircraft fuel quality property calculation, this paper studied pretreatment methods for tank CATIA model. Firstly, extract outside surfaces of wing skins, start and end wing ribs, front and back spars and then joint them to create a complete closed surface by additional repairing surfaces gap. Secondly, inside the closed surface, bool operation is utlized to remove actual bodies of fuel tank structures and internal accessories from the model of fuel tank. Direct accurate calculation of fuel quality property in CATIA environment is then achieved. Finally,simulation is carried out with an real aircraft fuel tank, comparison between simulation results and test data shows that relative error of pretreated fuel tank volume model is less than 1%, which satisfies engineering requirements.
The Application of Performance Degradation Analysis in Machine Tool Spindle
Authors: Hu Wei , Zeng Kai , He Xiao Cong , Cui Gang Wei , Yuan Sheng Wan , Liu En
Published: January 2015

As a key part feature of the machine, machine tool spindle has the characteristics of high reliability and high precision. The traditional test methods used to short the test cycle and analyze failure life of small sample data are inappropriate. Firstly, the reliability testing system of machine tool spindle was expounded; then, research status and the statistical analysis method of the performance degradation analysis used in the reliability test of machine tool spindle system were expounded. The influence to the credibility of the reliability test for machine tool spindle was put forward and analyzed: stress selection, feature selection, failure threshold selection and small sample analysis. Accelerated degradation test was given for further research in the reliability test for machine tool spindle.
Analysis Fracture Failure Analysis of Drill Pipe’s Tool Joint
Authors: Li Fang Po
Published: January 2015

One drill pipe’ tool joint fractured rarely after just servicing ten days in drilling process of one natural gas well. Failure reason of tool-joint pin was researched through visual inspection, mechanical properties testing and working condition analysis. Results show that fracture failure reason is mainly due to the dramatic friction between the tool joint and the accumulated debris during the drill-string’s rotating process. Accumulated debris blocked mud’s circulation channel and leaded to poor circulation. The dramatic friction between the tool joint and accumulated debris leaded tool joint’s local temperature to risen significantly, and reduced its carrying capacity. In the end, tool joint fractured under the effect of tensile and torsional loads.
Study on Capacitance Proximity Fuze Burst Height Dispersion
Authors: Yu Jing , Zeng Jia You , Zhong Jian Lin
Published: January 2015

Based that the capacitance proximity fuze detection field is quasi-electrostatic, the field intensity distribution function is formed on the analogy of radio fuze. By simulating a conclusion is drawn that its equifield intensity detection directional diagram is nearly an ellipsoid, whose long axis is 20% longer than the minor one. The study validates the capacitance proximity fuze burst height disperses uniformly while the missile and target intersect differently.
Modeling the Near Infrared Light Propagation in Biological Tissues
Authors: Wu Yu Xiang , Huang Min Fang , Song Tao , Xu Guo Dong
Published: January 2015

The model of photon energy distribution in biological tissue has a very important significance in the diagnosis and treatment of biomedical area. The history and development of optical transmission and distribution in the biological tissue is outlined. The structural characteristics and optical properties of biological tissue are explained and discussed. To demonstrate the model of photon propagation in biological tissue, several methods about laser and biological tissue interaction of transmission theory are summarized and the physical meaning of the tissue optical parameters on is considered. On this basis, we simulated near infrared light distribution of the biological tissue with Monte Carlo methods and obtained meaningful results.
A Study on Speed Control System Based on STC89C51
Authors: Jiang Jun Hai , Liu Ming Hui
Published: January 2015

Introduces a STC89C51 microcontroller core with the speed of measurement and control system, the system can control the motor starts and stops, either manually or automatically adjust the duty cycle to control the motor speed is set by the Hall sensor data, for motor speed is measured to calculate and display the current motor speed in real time on the LCD. The system is made in the actual measurement with good results, as the research engine performance provides an important reference, so that the entire digital measurement speed system can be widely used, there is a strong practicality.
Mechanical Design of a Self-Balancing Platform for Transporting Purposes
Authors: Mauledoux Mauricio , Cely Juan S. , Avilés Oscar F.S.
Published: January 2015

In the following article describing the mechanical design process of a balanced auto mobile platform, designed to assist large and heavy loads is made. This in turn allows deployment as a logistics assistant. Being a self-balanced design requires that your device carries a large mechanical component should therefore concentrate as much of the mass in the transverse axis of the engines. The procedure for a choice of engines according to the calculations already performed to further validate the design is done in SolidWorks. And the results obtained to date are described.
Fuzzy Self-Tuning PID Temperature Control Modeling and Simulation System
Authors: Guan Zheng Qiang , Luo Xiao Ming , Song Le Peng
Published: January 2015

For the current general heating control system tracks the set temperature hysteresis heating device to automatically adjust the real-time problem of poor design a fuzzy self-tuning proportional-integral-derivative (PID) controller parameters. Scoop out using PID control and fuzzy control algorithm combined method; fuzzy PID control parameters are adjusted. Use Matlab to model in simulink, the aryl the controller simulation analysis. The results show that the fuzzy self-tuning PID controller overshoot σ≈l%, steady-state error Island es=0. This method can improve the performance of the temperature control system..
Research on Control System of Large Capacity of Hollow Blow Molding Machine
Authors: Huang Jian , Li Wei Min , Lu Guang Liang
Published: January 2015

This paper elaborate the structure of parison wall thickness control system; choice hardware of the control system; study on the determination of the thickness control method and control points of parison wall; research on the formation of the parison wall thickness curve; summed up the development process of extruding plastic machine heating method on the basis of the plastic molding machinery development; analysis the various of heating methods; summed up the advantages and disadvantages of various heating methods; explore their advantages and disadvantages for providing reference.
Applied of RBF Neural Network in Pressure and Flow Control System
Authors: Wang Fei , Sun Xiao Hua , Zou Zhi Jun , Li Hao
Published: January 2015

This paper is addressed water pipe pressure control method, chose a water pipe with bypass valve as an object. The paper made the pressure and flow control of the object a mathematic model. This paper design a PID control algorithm which base on RBF neural network to control the pressure and flow of the object, and simulate the control process both RBF neural network PID algorithm and PID algorithm. The last part of the paper contrasts the two simulation result.
Research on Micro-Grid Operation Control Strategy
Authors: Chen Ya Ai , Wang Lu Shi , Zhou Jing Hua
Published: January 2015

Micro-grid is to integrate a variety of distributed energy resources to weaken the adverse effects of decentralized distributed generation on a large grid, effective way to fully exploit the economic benefits of distributed generation.When large grid power quality appear, failure, power outages and other problems, micro-grid based on local information can be quickly switched to the state from the network, and under the jurisdiction of the load especially important to provide power to support the load, to avoid accidents.Therefore, micro-grid has become an important research focus and direction of development of distributed power generation field.The main thesis of the existing micro-grid operation control strategies to summarize, summarize, and control the operation of the micro-grid reference when choosing strategies.
Design of a 10 Bit 2GHz Digital to Analog Converter Circuit
Authors: Yang Yu Jun , Hu Wei , Liu Jun , Yu Zhou , Fu Dong Bing , Chen Guang Bing
Published: January 2015

This paper presents the design of a 10 bit 2GHz digital to analog converter circuit. The digital to analog converter circuit adopts the design simulation of HBT process, able to work at a sampling frequency of 2 GHz, the highest sampling frequency can reach about 4 GHz. The SFDR of the digital to analog converter circuit can reach 62dB (simulation work at 2 GHz), the SFDR can reach 45 dB (simulation work at 4 GHz). Early product parameters of the digital to analog converter circuit (working in 1 GHz sampling frequency) are as follows: the narrowband SFDR parameter can be achieved 81 dB, broadband SFDR parameters can reach 46 dB.
Distribution Automation Oriented Research on the Adaptability of the Communication Network Technologies
Authors: Xu Chang Fu , Bo Bin , He Yong
Published: January 2015

The traffic of the distribution automation communication network under different size and applications is analyzed based on the communications models. From the network availability and the resource utilization, the distribution automation adaptability is compared with the different communication networks combined with the current main power terminal communication network technologies. The results provide an important theoretical basis for the planning of the distribution automation communication network.
Experimental Analysis of the Interaction Effect between Wave Power Platform Buoys of "Haiyuan 1" in Real Sea Conditions
Authors: Lyu Qin , Li De Tang , Chen Zheng Shou , Li Da Te , Tang Wen Tao , Cao Wei Nan
Published: January 2015

In order to study the interaction effect between three buoys of wave power platform of "Haiyuan 1", we’ve made a research to that wave power platform in real sea conditions. We tested respectively the motion curve of different buoys, calculated the average delivered power, and analyze the interaction effect of buoys. We hope that the experimental result can provide technical support for the arrangement of wave power platform buoy.
A Method of Wide Dynamic Range Compression Based on Curve Compression Applying on Hearing Aids
Authors: Luo Xiang Xiang , Guo Zhao Yang , Zhao Zhi Liang , Xue Feng Jie , Wang Xin An
Published: January 2015

Recently, there is a growing trend to investigate wide dynamic range compression technique with the development of hearing aids. However, existing methods used to enhance expected speech as well as the background noise and classical linear compression can’t achieve the requirements of hearing impaired individuals’ reaction to the loudness compensation flexibly. To cope with the problems, this paper proposes a new approach to suppress the enhanced background noise and to dismiss abnormal sound caused by severe jittering from high frequency signal. What’s more, a scheme of curve compression is introduced to improve the loudness amplifying flexibility instead of conventional linear compression. Both the theoretical simulation and testing on cellphone hearing aid APP based on android system prove the proposed method can improve the performance of speech enhancement and provide more choices to strength sound with the curve compression ratio.