bluuebunny/crossref_metadata_2025 huggingface dataset:
The Tribology Design in Transport Machinery Design
Authors: Zhang Guo Xin , Li Min , Cao Jiang Wei
Published: August 2014

A common problem in transport machinery equipment is friction and wear. This problem largely affects the service life in a transport machinery equipment. It should be given enough attention to the tribology design in transport machinery design. This article mainly describe the tribology design content from the material choice, surface design, structural design to lubrication technology, etc.
Design Analysis of Electrical Control System for the Gear Teaching Simulator
Authors: Shang Miao , Lin Guo Min , Zhang Wen Guang , Zhou Fei
Published: August 2014

Through the analysis of technical performance indicators of the gear teaching simulator, main technical indexes and design goals of electric control system are proposed; Scheme of electrical control system is analyzed; Control systems, controlled variables, operating variables and detection devices are selected. For the realization of electric control system design of the gear teaching simulator, improving the performance of the gear teaching simulator, it has an important guiding significance.
Design of a Robust H∞ Fault-Detection Filter for Uncertain Disturbance System
Authors: Zhu Zi Jie , Liu Zhi , Xu Wen Cong
Published: August 2014

The problem of robust fault detection filter is investigated for a class of systems with unknown disturbance and fault inputs. Attention is focused on formulating the design the residuals match with reference model. The robustness of the residual system is proved to be stability. The existence condition of the above filters, which can guarantee the robustness against disturbances and sensitivity against fault are solved by LMI. Finally, an example is given to illustrate the feasibility of the proposed method.
The Design of Intelligent Monitoring System on Swimming Pool Based on WSN and GPRS
Authors: Sun Jun Ying , Qi Shu Yi
Published: August 2014

A information-detecting recorder is designed, which can detect the swimmer’s pulse signal through a sensor module wrapped on their wrist, then send the alarming signal to the monitoring center by the wireless way. This system makes the saver find the drowned man at the first time and help them, that not only realizes the intelligence of monitoring system but also guarantee the human’s safety.
The Design of Ultrasonic Distance Measurement System for Auto Reversing Anti-Collision
Authors: Feng Hai Qin
Published: August 2014

This paper introduces the working principle, hardware and software designs of ultrasonic distance measurement based on STC89C52RD MCU. The hardware mainly consists of ultrasonic module, liquid crystal display module, alarm module and function key circuit. The system can clearly display the measurement results with high accuracy and can be applied to auto reverse anti-collision alarm system.
Research on Remote Wireless Pulse Monitoring and Analysis System
Authors: Tian Hao , Chu Chao Qun , Piao Xiang Fan
Published: August 2014

ECG signal contains a large number of health information of human body, the accurate measurement of ECG signal have important significance on the prevention and treatment of cardiovascular disease (CVD). The existing pulse detection instruments cannot meet the needs of today's society in terms of portability and real-time, especially for the elderly with CVD, it almost has nothing effect on real-time monitoring. Therefore, a wrist pulse real-time monitoring system is designed in this dissertation, which can make real-time detection and record the pulse information, and do short-term heart rate variability (HRV) analysis to the pulse information gained, to react and sent a distress signal with multilevel alarm mechanism quickly when the patient is sick, trying the best to ensure the safety of patients' life. Experimental results show that the hardware circuit of this system is stable and reliable, and pulse analysis algorithm has a good consistency with a small amount of data, this system can be applied to CVD monitoring in modern family.
Iris Recognition Method Based on Feature Discrimination and Category Correlation
Authors: Yao Ming Hai , Wang Na , Li Jin Song
Published: August 2014

With the increasing number of internet user, the authentication technology is more and more important. Iris recognition as an important method for identification, which has been attention by researchers. In order to improve the predictive accuracy of iris recognition algorithm, the iris recognition method is proposed based feature discrimination and category correlation. The feature discrimination and category correlation are calculated by laplacian score and mutual information. The formula about feature discrimination and category correlation are built. Aiming at texture characteristic of iris image, the multi-scale circular Gabor filter is used to feature extraction. The computational efficiency of algorithm is improved. In order to verify the validity of the algorithm, the CASIA iris database of Chinese Academy of Sciences is used to do the experiment. The experimental results show that our method has high predictive accuracy.
Abnormal Event Detection of Traffic Intersection Based on SAT Algorithm
Authors: Wan Fu Cai , Yin Cheng Xiang , Han Xiao Wei
Published: August 2014

SAT (Separating Axis Theorem) is an algorithm applied in two-dimensional games of collision detection in the convex polygon. This paper applied SAT algorithm into video monitoring at intersections to detect the vehicles collision incidents. Established separation axis to extracted vehicles and projected the target vehicles into separation axis. Through comparing the scalar value in separation axis to determine whether the target vehicles collision. It's proved that the method is effective by using Matlab software to the simulation test in this algorithm.
A Sparse Representation-Based Face Recognition Using Mixed Group Sparsity
Authors: Cai Ti Jian , Fan Xiao Ping , Xu Jun
Published: August 2014

Empirical evidence shows that introducing additional structured priors can reduce complexity of coding data, and achieve better performance. To improve the performance of sparse representation-based classification (SRC), the article based on the potential correlations between the elements of dictionary gets a mixed group sparsity which is composed of dynamic group sparsity and fixed-length group sparsity. To solve the structured sparsity efficiently, structured greedy algorithm (structOMP) is redesigned to fit the new structure. The modification includes search space and its neighbor. Finally, three sparse models are compared by experiments of face recognition, and the results show that the mixed group sparsity can improve the face recognition rate of other sparse models by 10% or more in dealing with corrupted data.
A Pedestrian Recognition and Locating Method under the Condition of Surveillance
Authors: Wu Xiao Qing , Long Xiang , Yang Xiong
Published: August 2014

In our previous work, we proposed a motion edge detection method to extract the contour of the pedestrian in an image sequence. In order to locate and recognize the pedestrian in an image after its contour was extracted, we propose the BLBP method to describe the binary texture of the contour of the pedestrian in the image, and use the BLBP histogram to get the recognition feature of the pedestrian. And then we use the scatter matrix and the sequential forward selection method to select useful features, and use the SOM neural network to perform the recognition work. At the last part of this paper, some results of our experiments are illustrated there, which shows that our method is satisfactory.
Shadow Detection Using Multi-Features in SVM Classifier
Authors: Wang Zhan Peng , Tian Jian Dong , Tang Yan Dong , Zhang Yan Zhu , Xia Yong , Wang Ling
Published: August 2014

Shadows may cause many problems in computer vision, such as object recognition, image segmentation and video surveillance. In this paper, we present a new method to detect cast shadow in a single outdoor image. We build up an illumination model to explain the process of shadow formed, and through this model we introduce some useful features. The regions for extract features are acquired through canny edge detector, after a series of morphological operations. Then we use SVM classifier with a multi-kernel model to train these features for shadow region classification. Our results show that edges of shadow images can be detected effectively with our methods.
Wavelet Neural Network Based on EKF Algorithm and its Application in Fault Diagnosis for Rotating Machinery
Authors: Gan Xu Sheng , Li Hua Ping , Gao Hai Long
Published: August 2014

It is difficult to realize an accurate and reliable diagnosis in the rotating machinery. To solve this problem, a Wavelet Neural Network (WNN) diagnosis model based on EKF algorithm is proposed. In the model, EKF algorithm is introduced to optimize the parameters of WNN, and then the built WNN model is used to diagnose the faults of the rotating machinery. The experiment shows that, the proposed model has a good diagnosis capability in the field of the rotating machinery.
Foam Identification Based on Morphological Algorithm and Hough Transform
Authors: Kang Le
Published: August 2014

Petrochemical pharmaceutical bio-fermentation industry, witch is characterized by the production press of the material inside the device sets experiencing recessive chemical processes. In industrial production process, some media usually easy to produce large foam, witch affect production, it must be detected the amount of foam in real time, to effectively eliminate the foam bubbles and control the processes of the physical and chemical reactions to ensure the efficient, orderly and safe conduct throughout the process .Foam is multi-interface, uneven density and unstable surface shape, each bubble has its own gas and liquid interface, many bubbles overlap together, with the various interfaces. Staggered and different angles, witch making it light-scattering, in order to obtain a clear picture of foam, and effectively obtain features of foam, shoot on goal from different angles, the captured images are compared and analyzed to choose the best camera angle. Morphological methods was introduced and used to extract the edge of bubbles in foam. This work proposed a improved Hough Transform (HT) to analyze round bubbles and detect each bubble.To detect whether the captured image is the foam image, this work also proposed calculating the density of bubbles in the captured image. The preliminary results showed that the algorithm is dynamic with high efficient.
Analysis of Grinding Dynamic Based on Grind Teeth Vibration Model of Spiral Bevel Gears
Authors: Xiao Miao Xin , Yang Jian Jun
Published: August 2014

Starting from the fact of backlash and gear transmission error, it is established vibration model of spiral bevel gear lapping system with two degrees of freedom. Through normalized calculate, it is obtained dynamic response of lapping vibration model under different braking torque. According to the time course and the phase diagram, during the process that brake torque switch from small to big, teeth meshing, collision and disengaged alternately goes on, and with the braking torque increases to a certain value, the teeth collision disappear and then back into the complete meshing state.
Research on Burning Zone Detection Method Based on Flame Image Recognition for Ceramic Roller Kiln
Authors: Zhu Yong Hong , Li Peng
Published: August 2014

In the firing process of ceramic products, the sintering conditions vary from firing phase to firing phase. In different firing phases, flame texture changes obviously, so it can be used as a important parameter of burning zone identification for ceramic roller kiln. In this paper, both flame image recognition of simulating artificial-look-fire and multi-point temperature detection technology are used to detect burning zone working conditions of ceramic roller kiln so as to greatly improve detection accuracy. The key data fusion algorithm of PTCR-based point detection temperature and flame image recognition–based detection method of burning zone working condition for ceramic roller kiln are proposed. The temperature measurement experiment system scheme of ceramic roller kiln burning zone is also given. The system can fuse the key process data with flame image characteristics so as to get the comprehensive database used to judge burning zone working conditions and temperatures. In the end, The testing experiment was carried out. The experimental results show that the method proposed above is feasible and effective.
The Performance Correlation Hilbert Time-Delay Estimation for Passive Detection
Authors: Wang Feng , Liu Mei Quan , Fan Jiang Wei
Published: August 2014

Passive time difference detection method is distance, high speed and good concealment which has broad military application prospects. One of the key technologies for passive detection is to extract the time lag through effective signal processing. Relevant method is the most basic method to estimate the time difference and is the basic theory of all correlative time-delay estimation algorithms. The method is simple. But good results rely on the spectrum characteristics of signal and noise is ideal. Time delay estimation based on Hilbert transform is the expansion of the generalized correlation time-delay estimation method which changes the correlation function from accidentally symmetry into odd symmetry. Detecting correlation peak is converted into zero crossing detection. The method sharps the main peak value point and improved the precision of time delay estimation which gets better time-delay estimation performance in the narrowband signal.
The Design of Yield Monitor Device of Tomato Harvester
Authors: Chen Ming Chang , Zhang Hong Wen
Published: August 2014

To solve the problem that yield monitoring cannot be done in real time during tomato harvesting in existing technology, a real-time yield monitor device on tomato harvester is designed by an three-dimensional software which is named Solidworks. This article describes the all structural characteristics and working principle of the device. Weighing belt, rollers and three kinds of sensors of the device are mainly designed and selected based on the working environment and technical requirements. The design of yield monitor device promotes popularization of the technology of tomato harvesting yield monitor on tomato harvesting machinery, makes the process of yield monitor in real time during tomato harvest realize automated, intelligently and informationized and provides a theoretical basis for the further study of tomato harvester monitoring technology.
Summary of Remote Monitoring System for CNC Machines
Authors: Wang Zheng Wei , Tang Ping , Zheng Xiao Shi
Published: August 2014

With the development of information technology, especially the rapid development of network transmission technology, remote monitoring is becoming more and more popular, remote monitoring system (RMS) for CNC machines will be a trend in the control field. This paper introduces research and application status of RMS for CNC machines interiorly and abroad, summarizes its main features,discusses specific technical routes. Finally,problems and suggestions in the development are presented.
The Research of the Grass-Roots Level Radar Equipment Maintenance and Detecting Expert System Model
Authors: Peng Dong Hui , Ye Fei , Wang Xin , Jiao Chuan Hai
Published: August 2014

In view of the grass-roots level radar equipment maintenance and testing difficulty is big, the efficiency is low, limited technical conditions, etc, put forward a kind of intelligent fault diagnosis expert system model suitable for the radar equipment, and focus on the basic structure of the model, knowledge acquisition and the relevant reasoning mechanism. According to the characteristics of the grass-roots level radar fault diagnosis, the system combines automatic test technology and expert system and can improve the efficiency and reliability of fault diagnosis.
Spatial Distorted Target Recognition Based on Improved Maximum Average Correlation Height Algorithm
Authors: Liu Hong Zhi , Chen Yu , Zheng Li Qin
Published: August 2014

Spatial distorted target is very hard to be recognized for complexity and variety of targets, which has restricted the development of pattern recognition technology to a great extent. Joint transform correlator is one of the key equipments to detect and recognize distorted targets. The appearance and development of maximum average correlation height (MACH) algorithm is introduced in this paper. Based on the principle the algorithm and experimental analysis, an improved maximum average correlation height algorithm fit for joint transform correlator is proposed, which has powerful capability of suppressing background noise and widening distortion tolerance. Target images with different shapes including scale or angular distortion constitute MACH filter in frequency domain, which is projected to space domain as reference template including varieties of attitude. To show the feasibility of the algorithm, an airplane with angular distortion in sky is processed by MACH filter as an example. Simulation and optical experimental results are given in this paper. The experiments show the angular distortion tolerance can reach up to 15 degrees. The actual effect of the improved MACH filter algorithm is confirmed very well.
Character Recognition Based on Wavelet Neural Network Optimized with PSO Algorithm
Authors: Chi Song
Published: August 2014

To improve the performance of the character recognition based on wavelet neural network (WNN) with gradient descent algorithm, a new character recognition method based on WNN optimized by PSO algorithm is proposed. PSO is adopted to optimize the weights and the topological structure of WNN at the same time, which can overcome the slow convergence rate and easy to drop in the local minimum, and the WNN after optimization is used to the character recognition. The invariant moments of the license plate character image after preprocessing, such as two valued and normalized, are taken as the input of WNN to implement the character recognition. The simulation results show that, compared with WNN, the WNN optimized by PSO algorithm has better performance in character recognition, and has higher recognition ratio.
The Kinematics Analytical Method and Simulation with ADAMS Based on Bias Slider-Crank Mechanism
Authors: Yan Tian Xiang , Li Xian Xuan
Published: August 2014

This paper selects bias slider-crank mechanism with a constant angular velocity as the research object. First the motion law of mechanism is derived by adopting complex vector method, and then the motion law curve of slider is solved and drawn with MATLAB which can accurately reflect the actual slider motion law; meanwhile output ADAMS simulation result data and compare ADAMS simulation results with the derived results with MATLAB. The results show slider motion law of ADAMS simulation coincides with the theoretical derivation result, which is simulation intuitive and easy to measure.
A Novel Coastline Detection Algorithm Based on Modified Iterative Selection Method
Authors: Chen Hong Yu , Shi Xiao Fei , Feng Lei , Zhang Yue Long , Li Yan Hua
Published: August 2014

Misjudgment often occurred in low contrast remote sensing images, because most widely used image segmentation algorithms often have a larger threshold. To overcome this problem, a novel coastline detection algorithm is proposed. A restriction function is involved into conventional iterative selection process. According to langrage multiplier, a modified iterative selection model is formulated. This modified method utilizes the gradient of images to obtain an optimal threshold. A region grouping rule is proposed to distinguish land and sea. Experimental results show superior performance of proposed method in terms of accuracy. As an application, our method has been applied to extract the coastline of the remote sensing image with promising results.
Research on Openflow Application in Intrusion Detection Evaluation
Authors: Tian Qing , Zhu Jun Ling
Published: August 2014

Based on the data source problems of intrusion detection evaluation and the feature of OpenFlow capable of providing flexible network control, this paper studies the real data evaluation model based on the software-defined network, and makes program implementation over the model-based intrusion detection evaluation system, and then uses the network to simulate this model. The experimental result shows that the model is feasible and effective.
Design of Underground Displacement Monitoring Circuit Based on STC89C58
Authors: Hu Ke Gang , Zhou Yi Lian , Li Qing
Published: August 2014

Using STC89C58 MCU as the core, through the acceleration sensor and a humidity sensor for the monitoring the displacement of underground conditions, to simply realize real-time monitoring function of the displacement of underground. Introduces the working principle and software/hardware system design. The experimental results show that, the system has stable operation, achieved the expected goals.
A Method for P2P Traffic Identification Based on Semi-Supervised Learning
Authors: Wu Lian Fa
Published: August 2014

In recent years, Internet traffic classification using machine learning is a hot topic, and supervised learning methods which contain Support Vector Machine were used to identify Internet traffic in many papers. The supervised learning methods need many instances which have been labeled to train classifying model, but it is difficult to label the instances because many traffic have been encrypted. Labeled instances and unlabeled instances can be used by semi-supervised learning methods to train the classifying model, so that it is very fit for p2p traffic identification. Transductive support vector machine is one of the typical semi-supervised learning methods. Based on theoretic analyzing and experiment, we compared the accuracy of TSVM and SVM. The experiment results show that the semi-supervised methods have some advantages on identification of p2p traffic.
Research on the GUI Testing Based on the Bayesian Network Model
Authors: Yang Zhi Fang , Yang San Xing , Yin Bei Bei , Bai Cheng Gang
Published: August 2014

Graphical User Interfaces (GUI) is becoming increasingly important in the software field, while GUI testing is becoming the key issues restricting GUI rapid development. GUI testing mainly serves two goals: to establish confidence in assessment of GUI and find more software defects in GUI testing. For this purpose, any testing method must be better at detecting defects. However, GUI testing is faced with many challenges due to the immense number of event interactions. In this paper, it introduces a Bayesian model guiding the process of GUI testing, discusses the Bayesian model topology and its issues encountered in the modeling process. In the end, a case reveals the validity of the GUI testing model.
The Online Identification of Single Variable Outliers Based on a Three-Sliding Window-Bayesian Method
Authors: Liu Yun Lian , Wu Tie Bin , Li Wen , Cheng Yun , Zhou Tao Yun
Published: August 2014

A method for online identifying and processing single variable outliers was proposed based on a three-sliding window-Bayesian method. Generally, the method utilized the characteristic that the flow rate and temperature in metallurgical production do not change suddenly. Based on this characteristic, the research accurately identified outliers and variation of normal working points by analyzing the change of Bayesian posterior probability and conditional probability of the detection data in the three sliding windows.
Flow Field Simulation Analysis of Three-Way Water Hydraulic Valve Based on Surface Micro Modelling
Authors: Wang Chuan Li , Pan Guang Xiang , Deng Hai Shun
Published: August 2014

Due to special physical and chemical properties of water medium, three-way water hydraulic valve has many key technical problems that could seriouly affect the operating performance. Safety valve in three-way hydraulic valve is seen as a research object, which is aiming at studying the effect of flow field distribution with surface micro modeling in three-way hydraulic valve cavity based on FLUENT. The simulation results show that, proper surface micro modelling help to improve the three-way water hydraulic valve cavity flow field distribution, different structural parameters affecting different flow field distribution, as for micro modelling design, careful consideration of the selection of structure parameters is necessary.
The Fabrication and Measurement of FBAR Based on AlN and Ti/W Bragg Reflectors
Authors: Wang Rui Xue , Han Cheng Zhang , Liu Ai
Published: August 2014

This paper describes the fabrication process of the thin film bulk acoustic resonator (FBAR) based on good quality aluminum nitride (AlN) film and the measurement of FBAR by a network analyzer. The AlN film with a highly c-axis orientation and homogeneous surface morphologies is deposited on Bragg reflectors as piezoelectric film by magnetron sputtering. The Bragg reflectors consisted of Ti and W fabricated under the resonator for acoustic isolation improves performance and compatibility of the FBAR and reduces the parasitic resistance of the electrode. The devices are packaged on tube seat and fixed on a high frequency PCB board designed specially for measurement and applications. The FBAR achieved a Q factor of 505 and k2eff of 3.42% at a resonant frequency of 2.22 GHz. A high sensitivity of 4.79 kHz·cm2/ng is obtained in the FBAR, which is higher than quartz crystal microbalance.
Testing Technology of Adaptive Optics in Atmospheric Laser Communication
Authors: Wang Yin Huan , Tong Shou Feng , Zhang Lei , Dai Li Ming
Published: August 2014

Adaptive optics (AO) is the primary means of improving the light transmission quality and easing the optical turbulence in communication. In laser intensity/direct demodulation (IM/DD) optical communication system, the function of AO correction for improving the optical communication performance is analyzed, adaptive optics (AO) compensating effects of atmospheric turbulence is studied by simulation and experiment in our adaptive optics system test bed. And 2.5 GB/s optical communication system performance is improved by AO compensating effects. So signal noise rate (SNR) and bit error rate (BER) of laser communication are improved.
Structure Design and Analysis of Variable Gear Pump
Authors: Deng Hai Shun , Chen Wei
Published: August 2014

Major recent developments of gear pump with external mesh is introduced in this paper, In order to enlarge the application range of the gear pump, a kind of variable type gear pump is designed. The whole design process is described in detail, the entire structure use a triplet, The driven gear can move through variable stem, it result in the change of displacement, it can refer to design of variable gear pump.
The Analysis of Faults Detection Software Based on Improved Neural Network Algorithm
Authors: Yan Miao , Liu Zhi Bao
Published: August 2014

The large-scale software is consisted of the components which are quite different. The detection accuracy of the traditional faults detection methods for the large-scale component software is not satisfactory. This paper proposes a large-scale software faults detection methods based on improved neural network combining the features of the large-scale software by computing the stable probability and building the neural network faults detection models. The proposed method can analyze the serial faults of the large-scale software to determine the positions of the faults. The experiment and simulation results show that the improved method for large-scale software fault detection can greatly improve the accuracy.
Power Transformer Fault Diagnosis System Based on Learn++
Authors: Chen Bin , Meng Bo
Published: August 2014

Aiming at the shortages of traditional method for power transformer fault diagnosis, the ensemble idea and incremental learning idea are used for better performance. The SVM is selected to establish the fault diagnosis models as sub learning machines. And then, the Learn++ algorithm is used to aggregate the sub learning machines. The new with new method will ensure the accuracy of fault diagnosis, and will update online. The experiments demonstrate that the performance of power transformer fault diagnosis system based on Learn++ is the best.
Design of Movements Detection and Recognition System Based on Video Identification Technology
Authors: Quan Guo Hua , Chen Yan Lan
Published: August 2014

In this paper we use parallel computation to improve computer action detection and recognition system, use of VC programming control to realize parallel calculation algorithm, use Step 7 software to establish data interface of parallel communication, which realizes the data parallel exchange. Finally we design the computer system of human action recognition and optimization, and introduce the system into the design and development of free combat movement. In order to verify the effectiveness and stability of the system, we carry on debugging on the program, and obtain the test results curve of VC++ debugging. At the end of this paper, we use visual visualization function of VC program to achieve the visualization display of free combat movement. According to the visual display we can guide physical teaching. It provides a new computer method for research on free combat sports curriculum.
Pattern Recognition of Movements in Wushu Based on Image Processing Technology
Authors: Lin Xu
Published: August 2014

In this paper, the genetic algorithm for the key point of image capture is improved, and the joint programming of VC and Matlab is used to achieve data transmission, the FAB body identification system signal that collected with VC was processed by Matlab software, eventually Tai Chi chuan movement design computer system has got. In order to verify the validity and reliability of the platform, taking the movements development of Wu style Tai Chi chuan and 24 style Tai Chi chuan for example, this article has performed three-dimensional simulation design on Tai Chi movements. The time curve of the knee joint displacement and the average angle table of knee movement have been got by the computer design platform of Tai Chi movements, which provides digital technology support for the study of tai chi movements design.
Research and Analysis on Acceptance and Evaluation of WuGuang Railway Noise Testing
Authors: Gao Jun
Published: August 2014

HSL (HSL line) noise mainly exhibits on the noise source and its radiation intensity. Testing on noise can be done at the location with maximal noise vertical distribution, by monitoring on certain points continuously 14h, general monitoring to equivalent sound lever of 1h operation no less than average density day and night, and independent monitoring to noise susceptible architecture.
Key Points of Vibration Diagnosis Technology On-Site Operation
Authors: Sun Meng Qin
Published: August 2014

The paper introduces the key points of vibration diagnosis technology on-site operation, from the diagnosis, diagnostic object, working condition of equipment, equipment principle and correct data analysis etc., and giving analysis, to prevent the generation of error analysis, to prevent the acquisition signal distortion, improving the diagnosis efficiency and reliability.
The Design of the Test Chamber that Offers Environmental Conditions to Detect Non-Dispersive Infrared Gas Concentration
Authors: Wu Yong Zhong , Shi Zhi Heng
Published: August 2014

In practical applications of Beer-Lambert’s law, the measurements are often affected by temperature and air pressure, according to which, this paper is intended to design a test chamber of which the temperature and air pressure are adjustable in order to provide the necessary environmental conditions for the detection of non-dispersive infrared gas. The analog signals of temperature and air pressure will be converted into digital signals by A/D converter after having been detected by the sensor, then the digital signals will be transmitted back to the MCU. After comparing with the preset values, the digital signals begin to control the MCU of temperature and air pressure and are finally displayed on the LCD screen. After the test, the expected goal can be achieved through this. The temperature can be ranged from 5 to 50°C and pressure 80 to 120Kpa, basically can meet the requirements of the study of non-dispersive IR gas detection.
Study of Symbol Detection Performance of Two Kinds of Compensation Method
Authors: Fu Gang , Feng Yue , Geng Wen Jian
Published: August 2014

Pulse coding/frequency modulation (PCM/FM) system is a rocket system mainly adopts remote sensing system, and MSD (Multi - Symbol Detection) is to overcome the traditional demodulation methods threshold effect. For multiple symbol detection misjudgment rate is higher in the process of problem, put forward two compensation methods: under the premise of without changing the length of the observation, every time by changing the length of sliding between the ruling and ultimately achieve the purpose of reduce misjudgment. The simulation analysis and test results verified the effectiveness and applicability of two kinds of compensation algorithm.
Retrieval of Chlorophyll Content from Leaf Reflectance Spectra Using Support Vector Machine
Authors: Lv Jie , Yan Zhen Guo
Published: August 2014

The chlorophyll content in crop leaf is an indicator of health situation and the crop yield. Hence, it is very important to retrieval of accurate chlorophyll content in paddy rice. This research selected Zhengyi town of Suzhou city as the study area, measurements were acquired during the summer of 2009, in a field campaign in which for 288 rice leaf samples, rice hyperspectral data was measured by ASD FieldSpec3 spectrometer, chlorophyll content was measured by using a SPAD-502 chlorophyll meter. And the parameters of support vector machine were optimized by genetic algorithm, then support vector machine and PROSPECT radiative transfer model were adopted to build estimation model, which used to retrieve the chlorophyll content of rice. The results indicate that: the coefficient of determination for the rice chlorophyll estimation model is 0.8825, and RMSE is 8.7491. Research of this paper provides some reference for quickly and accurately estimating the chlorophyll content in rice.
Research on Vehicle Detection and Shadow Elimination Based on Static Image Sequence
Authors: Li Quan Wu , Li Yu Hui , Li Bo , Chen Yi
Published: August 2014

Focused on static high-definition sequence images captured on the highway bayonet, this paper proposes a new approach for vehicle detection and shadow elimination based on average background modeling, which uses average background model and background subtraction to locate vehicle roughly, eliminates shadow of the vehicle using canny edge detection with dynamic histogram threshold determined by the histogram of the image. Experiments show that this method can locate the position of vehicle quickly and accurately.
Application of Factor Analysis in Measurement and Assessment of Corporate Governance System
Authors: Yu Lu Lu
Published: August 2014

In this study, the theory of factor analysis is used to establish a model for measuring and assessing corporate governance and identify major factors affecting corporate governance. The findings of this study can provide theoretical basis for comprehensive evaluation of corporate governance.
The Simulation of the Rapid Measurement of Total Phosphorus Content in Sewage
Authors: Jia Fu Quan , Tian Zhu Jun
Published: August 2014

The total phosphorus in water mainly exists in the forms of phosphate, condensed phosphate, and the compound of organophosphorus. Chemical sampling analysis method has low measuring accuracy and takes long time. NIPGA technology is used in order to detect the total phosphorus content in sewage quickly, and MCNP-4C is used to take simulating calculation. The calculating results show that the measuring accuracy is lower when the total phosphorus content is less than 0.10 mg/L. But this approach can meet the measurement requirements of total phosphorus content in II-type, III-type, IV-type and V-type water.
Monitor Disease Incidence of Winter Wheat Stripe Rust Using Hyperspectral Data: Analysis of Characteristic Spectrum and Establishing of Inversion Models
Authors: Huang Mu Yi , Huang Wen Jiang , Yang Xiao Dong , Chen Guang Zhou
Published: August 2014

It was discussed of the selection method of characteristic spectral band and the establishing of inversion model to monitor winter wheat stripe rust using hyperspectral data in this study. The correlation coefficients between the DI (disease incidence) at different stages of infection and the initial canopy reflectance spectral and the derivative of the reflectance spectrum were compared, respectively. The results showed that the derivative of the reflectance spectra has reached higher significant level with the DI than the initial reflectance spectral data. The initial reflectance in the visible light 680nm wavelength and the near infrared 976nm, 1010nm wavelength were selected to do regression with the DI of winter wheat stripe rust. And some inversion models between the DI and the hyperspectral data or its conversion patterns like NDVI (Normalized difference vegetation index), RVI (Ratio vegetation index), TVI (Transformed vegetation index) and its differential values of the canopy spectral reflectance data to monitor winter wheat stripe rust were established. Meanwhile, those correlation coefficients were compared respectively, of which we found the pattern of vegetation index has more efficient commonly than initial canopy spectral reflectance data by aggression analysis with the DI. The paper also suggested that the possibility of developing a special visible/near-infrared sensor for the detection of the DI of winter wheat stripe rust theoretically. Else, the SRSI (stripe rust stress index) mechanism model was presented for the first time in this paper.
Research of Artificial Rumen Constant Temperature Water Bath Based on Fuzzy Logic Controller
Authors: Li Xi Wu , Xu Bo
Published: August 2014

In the artificial rumen device constant temperature water bath temperature control for model and parameter uncertainty is proposed that 89S51 microcontroller as the control core, using fuzzy control algorithm, realized thermostatically control of water bath temperature. This paper presents the overall system architecture and design philosophy of fuzzy control unit and associated circuits. Systematic simulation and test operation showed that: the good dynamic responses of the system, high precision control, strong robustness, achieve better control of the water bath temperature.
The Research of CDMA SMS Send-Receive Based on Embedded S3C2410A
Authors: Shi Yun Qiu , Wu Chuan Sheng , Zhao Shi Cheng , Liu Fang Hui
Published: August 2014

With the popularity and mature of CDMA technology, in addition to inherit the CDMA covering a wide range, small influence by the environment, security, real-time characteristics, SMS has the advantages of low cost、convenience which make the utilization rate more and more high. SMS has great potential application in the field of industrial automation. Experimental study on the S3C2410A embedded control system to send and receive message in English or Chinese by Siemens company TC35i module in CDMA, using the embedded technology and CDMA low cost and mobility , unattended advantage , show broad prospects in the field of environment of mobile operation and distributed remote data acquisition, monitoring system.
The Research of Dynamic Sound of Multichannel System Based on Matlab
Authors: Li Zhen , Yang Qian Yi
Published: August 2014

With the emergence and development of 3D video technology, audiences have higher expectations to the sound effect while watching the 3D video. So we studied the dynamic sound effect under the existing audio standard of the multichannel. In this paper, the audio file of the sea wave was disposed by the Gaussian function through MATLAB and divided into several parts to be saved as different audio files. Then each audio file was sent to a channel to simulate a stereo sound field. Test result showed that the effect will provide a perfect experience for the audiences.
Design and Implementation of High-Speed Clock Recovery Circuits Based on FPGA
Authors: Du Xiu Li , Chu Cun Da , Qiu Shao Ming
Published: August 2014

According to the problem that the traditional clock recovery method based on FPGA can not recover the clock of higher frequency NRZ (Non-return to zero) serial data. This paper proposed a clock recovery design that adjusts the output clock earlier or later constantly according to the phase relationship between the input data and the feedback clock. The proposed design can be implemented on the FPGA without the higher operating frequency requirement meets the demand of middle and low version FPGA clients. The circuits implemented on FPGA has been downloaded to the Xilinx Virtex5 XC5VSX50T FPGA after behavioral simulation and post-route simulation, the debugging results verified that the proposed design is effective and realizable for clock recovery of higher frequency NRZ data and realizable for FPGA.
Comprehensive Control Strategy and Simulation Research on Micro Grid
Authors: Wang Yu Long
Published: August 2014

Micro grid can integrate various distributed generators and provide local load with green energy. Therefore, it becomes a hot spot of research in every country all over the world. Due to small inertia, large number of models, big difference among internal electric sources of Micro grid operation, it is more difficult to keep stabilization of voltage frequency of common points in the network, and more complicated to control the problems. The article puts forward the improved droop control strategy based on distributed power supply layer, on the basis of traditional droop control, it increases the feed forward regulation mechanism so as to change the droop coefficient, increase the power regulation scope, speed up the common point frequency voltage stability and improve the control precision, which has realized the specific control of power output when the Micro grid synchronizes and closes, as well as the purpose of power distribution according to load demand for islanding. Finally, we use power system simulation software PSCAD/EMTDC V4.4 to verify the practicability of the proposed scheme.
A High Uniformity Readout Integrated Circuit for Infrared Focal Plane Array Applications
Authors: Zhou Tong , Dong Tao , Su Yan , He Yong
Published: August 2014

Infrared focal plane arrays (IRFPA) suffer from inherent low frequency and fixed patter noise (FPN). To achieve high quality infrared image by mitigating the FPN of IRFPAs, a novel low-noise and high uniformity readout integrated circuit (ROIC) has been proposed. A correlated double sampling (CDS) with single capacitor method has been adopted in the ROIC design which can effectively reduce the FPN, KTC and 1/f noise. A 4×4 experimental readout chip has been designed and fabricated using the SMIC 0.18 μm CMOS process. Both the function and performance of the proposed readout circuit have been verified by experimental results. The test results show that the proposed ROIC has a good performance in practical applications.
THz Spectroscopy of Food, Industrial and Pharmaceutical Paraffin Wax
Authors: Kang Xu Sheng , Huang Ping Jie , Li Xian , Hou Di Bo , Cai Jin Hui , Zhang Guang Xin
Published: August 2014

The absorption coefficient spectra and refractive index spectra of food grade, industrial grade and pharmaceutical grade paraffin wax, the three different types of paraffin wax within the terahertz frequency range from 0.2 to 2.2 THz are measured using transmission-type terahertz time-domain spectroscopy. The average refractive indexes of food grade, industrial grade and pharmaceutical grade paraffin wax in the frequency range are respectively 1.50, 1.49 and1.46. The three different types of paraffin wax all have weak absorption for terahertz waves and each paraffin wax have several obvious absorption peaks. However, all found absorption peak positions of the three different types of paraffin wax are so close that the three are relatively difficult to be identified using transmission-type terahertz technique in present experimental conditions.
Research on Backscattering of Sky Wave from Sea Surface
Authors: He Huan , Pan Yi Chun , Geng Fang Zhi
Published: August 2014

For a long period, the sky-wave over-the-horizon radar (OTHR) has difficulty in detecting ship under the background of sea clutter, and it is difficult to apply the existing sea clutter model established in surface wave propagation mode to the sky-wave OTHR sea clutter suppression. Therefore, the difference between surface wave and sky wave propagation mode is analyzed firstly, then the scope of grazing angle about sky wave beam is calculated, finally the backscattering coefficients of sky wave from sea surface are derived by perturbation method and the backscattering mechanisms of sky wave from sea surface are analyzed. Results show that the mechanisms observe Bragg scattering mechanism. The backscattering coefficients of sky wave from sea surface which are given in this paper for the first time are significant for sky-wave OTHR sea clutter suppression.
Comprehensive Evaluation of Drill Wear Based on the Model of Projection Pursuit
Authors: Zhao Li Li , Dong Yu Cai , Liu Lu , Kou Guan Yu , Lin Min , Liu Chun Mei
Published: August 2014

To overcome the deviation caused by the effect of subjective factors in drill wear evaluation, and make the evaluation more accurate and objective, on the basis of drill wear comprehensive evaluation criterion, the projection data are built with projection pursuit method. Two hundred drill wear comprehensive evaluation samples are randomly generated within the range of each class. The projection pursuit model is built by unitary processing according to these samples, which converts the evaluation into non-linear multi-constrained optimization problems. The optimal projection direction vector and the weight coefficient of each evaluation index are obtained with composite simplex method. Meanwhile the corresponding relationship between the region of variation of projection eigenvalue and classification grade is established. The precision of sample evaluation reaches 100% and the evaluation of the measured data achieves good effect. Thus, the scientific evaluation of drill wear is realized by the projection pursuit model.
Noise in a Plasma Wave-Based THz Device
Authors: Xu K.Y. , Wang Z.N. , Wang Y.N.
Published: August 2014

Using a two-dimensional ensemble Monte Carlo (EMC) method, the noise spectrum of a InGaAs-based nanoFET is studied in detail. Simulation results show that the noise spectrum consists of two maxima at frequencies of about 0.7 THz and 2 THz. The lower-frequency maximum is sensitive to the source-drain voltage, while that of the higher frequency one is not. These achievements are coincident with experimental results. Moreover, based on Dyakonv-Shur’s theory, the emergence of noise maxima is explained as the excitation of 2D plasma waves in the device.
Design of the JPEG2000 Compression System Based on ADV212
Authors: Li Guo Ning , Liu Yan Yan , Han Shuang Li , Jin Long Xu
Published: August 2014

This article in detail on the basis of the algorithm of JPEG2000 standard upon, is put forward based on the FPGA embedded processor MicroBlaze and ADV212 compression chip with the combination of high speed, real time image compression scheme. Experiments show that the scheme can realize the data rate of 520 Mbps largest real-time compression of image data, when the image compression ratio is 53:1, reconstruction image PSNR value can reach 36 dB.