bluuebunny/crossref_metadata_2025 huggingface dataset:
Implementation of Hand-Free Head Mouse Control System
Authors: Zhang Nai Zhong , Wen Jing , Li Wei
Published: March 2015

As computer vision technology been developing, while camera becomes standard configuration for personal computer (PC) and computer calculating speed becomes faster and faster, Computer vision have been more popular used in people daily life, people can use computer as an eye to see and recognize the real world, In this paper, we will present a novel electronic head mouse control system which is based on human facial feature. Our system firstly detect human face from the input image by using face features in YUV Color model, and then for face candidate, use reversed relationship information between U and V cluster of face feature to detect mouth position. Then in the detected mouth region, mouth lip region gray level is usually lower than other region but V level higher than others, so we can reversal mouth region gray level and use associated threshold method to pick up mouth region pixels. Relationship between mouth position and face region boundary can be used to confirm human head rotation angles correspond to camera, which can be used to control mouse movement in screen. Then throughing analysising mouth shape information, we can confirm mouth motion command for mouse. We have simulated our algorithm on windows XP system to evaluate the effect of our algorithm. The simulation result showed that our algorithm can represent a good effect for head mouse control system.
Discussion and Analysis on Electric Energy
Authors: Zhou Jing Hong , Chen Biao , Lu Yu
Published: March 2015

As the co-integration theory is introduced, this research attempts to explore the relationship between economic growth and electric consumption based on co-integration theory in Jilin province. The data we use comes from the economic and electricity data in Jilin Province during 1978 to 2013. The analysis results show that a long-term stable equilibrium relationship between electricity consumption and economic growth in Jilin province is existing. Based on the Granger causality analysis, we find that there is no Granger causality between electricity consumption and economic growth in Jilin Province.
Prediction of Machine Tool Thermal Error Compensation Based on SVMR and ARM11
Authors: Zhang Zhi Peng , Liu Kang , Guo Feng
Published: March 2015

In order to improve the process precision of the machine tool, further development of SVMR was achieved by QT Creator. Support vector machine was applied to the ARM11 development board, SVMR model was online trained and real-time predicted the values of machine tool thermal error. Compared with the widely used BP neural network, this method has the characteristics of high compensation precision and strong generalization ability. Experiment research has proved that the stronger effectiveness and higher accuracy using this method.
Study of the Vibratory Stress Relief for Large-Scale Parallel Welded Steel Truss
Authors: Dong Xue Wu , Wang Yan Ting , Cheng Jun Hong , Zhang Xi , Han Jian Hui , Yang Yan Yan , Li Bing
Published: March 2015

Parallel welded steel truss component is widely used in construction, tower, bridges, aerospace and other fields. And the welding residual stress is distributed complicatedly in many areas and directions, which will definitely deform the welded steel truss or even crack it. So, it is necessary to do aging treatment to avoid such thing happened, as well as improve the accuracy and reliability. Vibratory stress relief (VSR) is a new kind of technology which may eliminate the residual stress in metal component with high efficiency, energy-saving, environment protection and low cost compared with thermal stress relief (TSR). But its technical effects vary with the vibration parameters. To the parallel steel truss structures, the excitation parameter of VSR is determined by welding residual stress distribution and the natural mode of vibration. The residual stress concentration areas can get enough vibration, if the parallel steel truss component vibrates with different kinds of natural mode of vibration, which will obtain good effect of eliminating stress. Firstly, the inherent vibration mode of parallel welded steel truss component is measured by the modal analysis technology. Secondly, multiple intrinsic modes are chosen according to principle of making all the welding residual stress concentration regions and directions get enough vibration and then main technical parameters are determined such as excitation frequency, excitation point and support point. In this paper, two examples are given out: the specimen 1is treated with the transverse bending vibration mode and torsion vibration mode respectively according to the above method. As for specimen 2, it is treated with 3 exciting frequencies which are located automatically by the vibration aging machine. The residual stresses of the two specimens are measured before and after their vibrations with blind holes method. Results show that after vibration aging, the welding residual stress peak figure of the Specimen 1 is reduced by an average of 48.65% and the mean value of that dropped by an average of 32.50%. Correspondingly, the residual stress peak value of the Specimen 2 shows a decline of 3.38%, its average fell by an average of 2.55%.
Study on Optimizing the Parameters of Floor Absorber of High Speed Train Floor
Authors: Wang Dong Zhen , Ge Jian Min , Zeng Xian Kui , Lv Chong , Zhang Zong Ting
Published: March 2015

Based on the emus' VIP test of floor shock absorber, the parameter optimizations are conducted. Through the experimental comparison and analysis of low stiffness with high damping, stiffness damping and the original car shock absorber, it proved that the high stiffness damping vibration damping performance is better than another two kinds of shock absorber.
Design and Implementation of ZigBee Based Wireless Sensor and Actuator Networks in Service Robot Intelligent Space
Authors: Song Bao Ye , Xu Lin , Cao Mao Yong
Published: March 2015

This paper is concerned with the design and implementation of a ZigBee based wireless sensor and actuator networks, which has been applied in our service robot intelligent space successfully. Firstly, an overview of ZigBee protocol is given, and then the design and implementation of hardware module and software stack of ZigBee based wireless sensor and actuator networks are addressed in detail. Some representative devices are described, including environmental sensors for environmental perception, home devices controllers for device control, IMU module for abnormal behaviors detection, locating system for node localization and laser robot control for service robot navigation. Application example is described to demonstrate how the devices in ZigBee based wireless sensor and actuator networks to provide service cooperatively. Finally, we conclude this paper and discuss the future directions.
The Control Strategy of Yaw Moment for Rear Electric Motor Drive Vehicle
Authors: Zheng Jin Jun , Song Chuan Xue , Li Jian Hua
Published: March 2015

With the maturing of in-wheel motor technology, Control on vehicle longitudinal and lateral stability have a rapid development, vehicle with in-wheel motor have also made considerable progress. The paper conducts a study on control strategy of electric vehicle with two in-wheel motors mounted on rear wheels. Yaw moment adopt target following algorithm based on two degrees of model of monorail and study the allocation of torque on two driving wheels. The study indicates that ESP control strategy in which yaw moment of left and right wheel is different and the way of allocating torque based on utilization adhesion can improve vehicle handling ability.
Simulation and Validation about Control Strategy to Improve Fuel Consumption for an Extended Range Electric Vehicle
Authors: Kou Gai Hong , Dou Guo Wei , Liang Wei Ming , Yao Jie , Ma Xian Meng
Published: March 2015

As for an Extended Range Electric Vehicle (EREV), firstly we introduced its structure and APU's control principles, and way to improve fuel consumption. Through simulation and analysis, control strategy and parameters with lower fuel consumption was got. Finally through dyno tests, fuel consumption and simulation results were validated, and fuel consumption lowered 22.3%.
Morphology Evolution and Mechanical Properties of HNBR Composites Reinforced by HZMMA/Carbon Black during Curing Process
Authors: Wang Guan Zhong , Wang Zeng Lin , Tian Shuai Cheng , Wu Shou Peng , Zhang Fu Tao , Li Zai Feng
Published: March 2015

Hydroxyl zinc mono-methacrylate/carbon black/hydrogenated nitrile rubber composites were prepared by using HZMMA as a partial substitution for carbon black. The morphology and properties of the composites during the vulcanization process were investigated. The results showed that during early stage of the curing process, the tensile strength and modulus at 100% of the composites increased slightly, the tear strength and elongation at break decreased. The favorable mechanical properties for composites could be achieved after post-curing. FTIR, XRD, and TEM results showed that the polymerization of HZMMA completes at the beginning stage of curing process. Grafting and crosslinking reaction between HZMMA and HNBR may occur during the curing process and metallic bridge bond between them forms. The phase state of homopolymer transformed from disperse phase to continuous phase and has a good compatibility with HNBR.
Design of Extended-Range Electric Vehicle Integrated Control System Based on Rapid Prototype Technology
Authors: Wang Da , Song Chuan Xue , Peng Si Lun
Published: March 2015

Based on Motohawk rapid prototype development platform and “Development to Production (D2P)”development process, an integrated control system has been built, adapting to the principle and configuration of extended-range electric vehicle. This control system integrated traditional vehicle controller, drive motor controller, APU controller, engine controller and generator controller. The development of this control system is based on ControlCore underlying operation system and designed by Simulink/Stateflow software. Production-level automotive ECU has also been used as the hardware platform. This development method can significantly simplify the topology structure of control system, decrease the develop cycle of extended-range electric vehicle, and reduce the cost in development, production and aftermarket maintenance.
Fuzzy Observer Design for a Class of Uncertain Nonlinear System
Authors: Feng Xian Jia , Guo Shu Li , Han Li Na
Published: March 2015

In this paper, a fuzzy state observer with an appropriate adaptive law is developed for a class of uncertain nonlinear system. The uncertain nonlinear system is represented by Takagi-Sugeno (T-S) fuzzy model, and the adaptive law is derived based on Lyapunov synthesis approach. It is shown that under appropriate assumptions, the state error between plant system state and desired linear model state converges to zero as time increases. The results of numerical simulation and the experiment on the magnetic levitation system show the effectiveness of this approach.
Improvement Strategy of Load Regulation of Boosting Power Supply Based on PID Algorithm
Authors: Zhang Sheng , Li Pei Zheng , Chen Zhi Wei
Published: March 2015

As one of the most important parameters of Direct Current (DC) power supply, Load regulation determines the performance of whole system. In this paper, the internal structure as well as performance parameters of LM2577 boosting converter were deeply investigated and based on this investigation we proposed two new methods of improving its Load Regulation. One method (method 1) is to replace the resistor connected to the feedback pin of LM2577 with a programmable potentiometer and sample the variation of output voltage using an AD converter. The potentiometer is adjusted under the control of feedback algorithm to keep the output voltage stable, thus the load regulation enhanced. In the other method (method 2), the feedback pin of LM2577 is connected to an adder to stabilize the output voltage of DC power supply and increase the load regulation. A voltage divider made up of resistors divides the output voltage and provide the divided voltage to one input of the adder. The other adder input comes from DA converter controlled by microcontroller. To reduce the adjust time and increase the efficiency, PID algorithm is applied in the software part of the system. We use 12-bit AD (ADS1115), 12-bit DA (TLV 5638) and 10-bit programmable potentiometer (AD5293) to test the methods above under the condition of 5V input voltage and 600mA load current. When output is set to 7V, the load regulation is improved from 1.043%, the rate from application circuit in LM2577’s Datasheet, to 0.700% and 0.042% by applying the first and second method, respectively. When output voltage equals 12V, the improvement is from 0.658% to 0.008% and 0.008%. Meanwhile, the method 2 suppresses output voltage ripple to be less than 10mV.
Research on High Precision Temperature Control System of Strap-Down North-Seeking
Authors: Li Jian Rong , Shen Cheng Wu , Liu Shao Jin
Published: March 2015

In order to make the dynamically tuned gyroscope of Strap-down North-seeking working on the best temperature environment, reduce errors caused by temperature changes, a high-precision temperature control system is built up on the base of control theory and engineering. This system is a two-stage temperature control system. In order to realize high precision temperature control at a predetermined temperature range, temperature measurement circuit is analyzed and calculated on a two-stage temperature control had different measurement circuit match. Experimental results show that the accuracy of can achieve ± 0.1 °Cwhen the environment temperature within the range of-40 °C ~ + 60 °C. It can meet the temperature requirements of Strap-down North-seeking system.
The PID Flow Control System Based on PLC
Authors: Sun Chun Yan , Fang Bao Yi
Published: March 2015

According to the time-varying and nonlinear characteristics of fluid, this paper puts forward a design scheme of real-time and accurate control of the liquid flow. The control system which taking the programmable logic controller (PLC) as the platform and using the PID control algorithm is composed with the touch screen, electromagnetic flow meter, temperature sensor, electric regulating valve system and so on. And the PID algorithm based on PLC design has carried on the analysis, simulation and optimization. The results show that PID algorithm is designed using this method with a strong and more precise control of the scheme. It is not only suitable for the flow control, changes in action after the equipment is also applicable to analog volume control temperature, liquid level, velocity, height etc.
Fault Diagnosis for Level Control System Based on SPC
Authors: Zhou Kun Lin , Guo Rong Sheng
Published: March 2015

In view of the appearance of instability and malfunction problem for level control system in the steam drum of boiler, a new method to use statistical process control (SPC) was proposed, which analyzed the level data by the SPC. It can extract the main features of the level variable, and set up the upper and lower monitoring limits for the level control system in the steam drum of boiler. The decision-making basis for the operator can be provided by monitoring control accuracy of the level control system. With this method, it can improve the control accuracy of the level variable and provide the information quickly and efficiently for the fault diagnosis of the level control system, prevent the malfunction occurs, ensure safety and stable operation for the boiler control system.
An Intelligent Household Electricity Load Control Method Based on Demand Response
Authors: Qu Zhao Yang , Zhang Tian Hang , Yan Jia , Xu Shao Qing
Published: March 2015

This paper presents a method for smart house electricity load control. The method, combined with TOU price and Real-time pricing, arranges various appliances and meets daily household electricity demand at the same time, so that to reduce the daily electricity consumption and realize Demand Response. First, this paper attempts to summarize problem witch need to be solved for realizing load control in a smart house. Second, the smart house load control problem was described as high-dimensional complex functions unconstrained optimization model and solved with Particle Swarm Optimization. Finally, design experiments used the method for a smart house. Experimental results show that the method can arrange various appliances and reduce electricity consumption.
A Multi-Objective Assessment for Primary Frequency of Generator
Authors: An Ya Kun , Zheng Le , Song Jun Ying , Ye Zheng , Cheng Wen Qing
Published: March 2015

The ability of the generator unit response frequency change is the key issue of assessing primary frequency regulation. Meanwhile, the setting of speed regulating system parameter greatly affects primary frequency performance of generators. Therefore, this paper proposes a comprehensive evaluation system, which can comprehensively analyze and evaluate the ability of primary frequency regulation from various aspects. It combines speed regulating system parameter index with common evaluation index. In this part, the author puts forward a multi-objective assessment algorithm. Firstly, when generators experienced disturbances, collect the corresponding data of plant and system. Then the speed regulating system parameter is estimated by the actual accident of generator. Besides, the common evaluation index is calculated, including the contribution electric quantity, response time, delay time and the contribution ratio. Finally, the algorithm is applied to the actual hydro power units and thermal power units, and the results illustrate the feasibility and reliability of the algorithm.
The Control System for Three-Phase Induction Motors Based on Stator Flux Orientation
Authors: Shen Feng Long
Published: March 2015

In this paper, the mathematical model of induction motor based on stator field orientation in synchronous frame is introduced. To resolve the question of relay, the d-axis current direct calculation is adopted to replace traditional decoupler. Fix threshold double-integrator based on coordinate transformation is used to eliminate integrator saturation. SVPWM based on 600 coordinate system is developed to simplify calculation. The control system based on stator flux orientation is simulated by MATLAB. The simulation result shows that the system has a fast dynamic response and steady characteristics.Nomenclature
Effect of Heat Treatment on Microstructure and Mechanical Properties of Cr31 Hypereutectic Cast Iron
Authors: Peng Chuan Xiao , Cui Wen Chao , Yang Xiao Yan , Wang Li
Published: March 2015

The effect of destabilization at (960°C,1000°C,1050°C) followed by sub-critical heat treatment (SCHT) at (260°C, 450°C, 550°C) on microstructure and mechanical properties of a hypereutectic chromium cast iron containing 31 wt.% Cr was investigated. The response of the microstructure of the specimens differed significantly to heat treatment. With increasing destabilization temperature, the amount of retained austenite increased and it became more stable during following SCHT. The peak values of bulk hardness deceased with increasing destabilization temperature, while higher SCHT was needed to reach the hardness maximum. The hardness and erosion wear property of the specimens destabilization at 960°C or 1000°C deteriorated after SCHT at 550°C due to the formation of ferrite/carbide product, which was not found in the specimens destabilization at 1050°C followed by SCHT at 550°C. The specimen destabilization at 960°C + SCHT at 260°C performed best erosion wear resistance with matrix of martensite containing little austenite.
Thermal Overload Protection for AC Asynchronous Motor Based on Complex Morlet Wavelet
Authors: Wang Su , Sun Lei , Huang Wei Cong
Published: March 2015

Conventionally, the fault signal of motor thermal overload in a non-periodic component is not effectively filtered with Full-wave Fourier Algorithm (or FFA). In this paper, a design which combined Complex Morlet Wavelet Algorithm with Subtraction (or CMWAS) filter is presented. The design gives system model of overload and algorithm analysis It is verified that the new algorithm is better than the FFA algorithm in terms of filtering decaying DC component.
Research on Transient Stability of Wind Farms Based on Coordinated System of SVS and STATCOM
Authors: Qiao Min Rui , Wu Lin Lin , Li Yue Qiao
Published: March 2015

As large-scale wind farms are connected to the grid, a single type compensator cannot meet the demand. STATCOM has ability of rapid reaction and harmonics suppression, SVC can compensate large capacity reactive power. In this study, a compensator, which is able to coordinate Static Var System (SVS) with STATCOM is proposed. Large-scale wind power integration is simulated respectively with the compensator of STATCOM alone and coordinated compensator of SVS and STATCOM by DIgSILENT/Powerfactory15.0. Simulations results clearly verify that the compensator of SVS and STATCOM improves transient stability and performance of the photovoltaic systems.
Calculation of Capacitance Variation in Corona Cage
Authors: Li Xiao Ming , Pan Yong Zhong , Li Hong Jun , Ren Jie Shuai , Hu Po , Li Li Li
Published: March 2015

Corona cage is an important supplementary method for studying corona phenomenon, which is an indispensable for designing transmission lines. In this paper, the bundle conductors are chosen as research objects and the charge simulation method (CSM) is applied to build calculation model, using line electric charges to simulate bundle conductors, walls of corona cage and space charges. The method of tight coupling of electric field and potential is first introduced in corona processing, in which the Kaptzov hypothesis is directly applied to establish equations of charge - electric field and charge - electric potential. In addition, in order to analyze the capacitance value variation of corona cage when corona onset occurs, the emission, migration and composite process of space charges is simulated. Finally, 4, 8, 12 conductors in corona cage under different meteorological conditions are modeled, and the research results are analyzed. This research can also be applied to model corona cage and high voltage transmission lines at different voltage levels and different bundles under different meteorological conditions.
Common Models Comparison and Conversion between PSASP and PSS/E
Authors: Zhao Ting , Tang Fei , Xu Junru , Yang Jian , Zhang Qian
Published: March 2015

As for transient stability simulation, Chinese researchers often use PSASP (Power System Analysis Software Package) as an auxiliary analysis tool while PSS/E (Power System Simulator for Engineering) is commonly used overseas. The correspondence of models contained in these two software packages will be discussed in this paper. Correspondent model parameters can be converted mutually based on the inner link of PSASP and PSS/E. Similar testing results of one standard IEEE case show that this data conversion method is primarily workable.
Grading Ring Parameters' Design for Y-Type Insulator String of 1000kV AC Double-Circuit Transmission Line
Authors: Huo Feng , Xu Tao , Fan Xin Hong , Wei Meng Ting
Published: March 2015

Y-type insulator string has advantages of external insulation and reduction of corridor width. This paper establishes a 3D finite element model of Y-type composite insulator string of 1000 kV AC double-circuit transmission line, including tower, insulator, grading rings, phase conductors and other hardware fittings, the model is used to calculate electric field distribution of composite insulator and grading ring. Then the parameters of grading ring are optimized based on the electric field results. According to the results, the optimum parameters of the racetrack grading ring are R=700 mm, r=120 mm, H=200 mm. The results can give a reference for design of UHV AC Y-type insulator string.
Influence of Polymer on Properties of Sulphoaluminate Cement Waterproof Mortar
Authors: Tao Wen Hong , Wu Bin , Fu Xing Hua , Liu Chuang
Published: March 2015

This paper studies on the effects of different contents of redispersible emulsion powder and cellulose ether on mechanical properties of sulphoaluminate cement waterproof mortar, water absorption rate and impermeability, observes the microstructure of cement mortar by SEM and discusses the mechanism of polymer effects on properties of cement mortar. The results show that: as to the influence on strength, the two kinds of polymers may cause the decrease of early strength, but have no influence on the later strength; about water absorption rate, two polymers can significantly reduce the water absorption rate of sulphoaluminate cement mortar, and cellulose ether is slightly more effective than that of redispersible emulsion powder; as to the influence on impermeability, cellulose ether works far better than redispersible emulsion powder, especially when cellulose ether content reaches 1.5‰ and more, the impermeability pressure of sulphoaluminate cement mortar can reach above 2.2MPa.
Research on Black-Start of Optimal Operation of Hydropower, Wind Power, Energy Storage in Regional Grid
Authors: Ye Zheng , Zhou Xiao Xia , Xie Jin Zhi , Cheng Wen Qing , Zheng Ling , Zhao Chang , Wang Zhou Hong
Published: March 2015

Black-start is an effective measure to restore the power system when blackout occurs. An appropriate black-start scheme may not only speed up system restoration, reduce outage losses, but also have important significance to deal with emergencies. In this paper, a method to design black-start scheme for a combined system in Taizhou regional grid is presented. The feasibility and efficiency of designing black-start scheme is significantly improved, based on comprehensive consideration of Taizhou regional situation and the real-time status of hydropower, wind power, energy storage and circuits. The simulation results show that the new method is valid.
A Single-Phase AC/DC Conversion Circuit with APFC
Authors: Chen Wei , Shi Ze Sen , Zhou Yi Li , Chang Qiang , Wang Wei Ping
Published: March 2015

This system uses the MSP430F6638 and FPGA as the core, includes full bridge rectifier circuit, power factor correction circuit, Boost/Buck circuit and sample circuit. According to the sampling voltage and current value, The FPGA adjusts PWM wave duty ratio of power factor correction chip UC3854, completing single phase AC/DC conversion circuit with a voltage outer closed-loop and current inner closed-loop and active power factor correction (APFC). Test shows that the output voltage can stable in a setting value, with amplitude range ±0.05V, and when load’s impedance changes, this circuit can keep a small voltage adjustment rate and load adjustment rate. We use electronic parameter measurement device to measure the efficiency of AC/DC converter in a specified condition (voltage input Us=24V, current output Io=2A, voltage output Uo=36V), result demonstrates it’s a relatively ideal value. At the same time, under the control of UC3854, the power factor of alternating current input is 0.9734.And when we set the range of power factor between 0.8~1.0, The circuit can automatically adjust the power factor to track the set value.
Aerial Robot-Based System for Monitoring Environmental Nuclear Radiation
Authors: Huo Jian Wen , Zhang Hua , Zhou Zhi Ru , Guo Ming Ming , Zhang Yan
Published: March 2015

We propose an aerial robot-based system for monitoring environmental nuclear radiation in real time by taking advantage of the robot responsiveness and efficiency. In the proposed system, we employed small-sized nuclear radiation monitors, 3G/2.4G wireless communication and information distribution techniques to quickly and accurately image the site as well as to measure dose and distribution parameters of nuclear radiation. These data can be sent to the on-site center and the data center via 3G network, allowing data analysis, processing, storing and distribution. Our tests showed that our system was capable of satisfying environmental monitoring requirements on real-time data collection and transmission. Our system provides a novel monitoring platform for transmitting, storing and processing data of environmental nuclear radiation.
Measuring Method on the Relative Position between the Rack and the Missile with T-Drawbar
Authors: Shen Cheng Wu , Liu Chang , Li Jian Rong , Liu Yu Sheng
Published: March 2015

In order to load a missile with T-drawbar into the rack fixed in a fighter plane automatically and quickly, the relative position between the rack and the T-drawbar must be measured. The principle of the relative position measuring method is introduced, the parameters calculating equations are derived, and the precisions are analyzed. The measuring system is composed of lens, planar array CCDs, lasers, and cooperative objects. By analyses, the system can measure the relative position information including X, Y and Z between the drawbar and the rack. The precisions of length are 7.8mm in X, and 1.2mm in Y and Z.
Study on Data Fusion Algorithms of Hot-Pressing Measurement Process of Wood-Based Panels
Authors: Yu Hai Ying , Hua Jun , Zhou Xiu Li , Hou Jiu Yang
Published: March 2015

Measurement error often exists during hot pressing of the wood-based panels due to the complex mechanism of the process, technological conditions, environment noises and performance of the sensors. Multi-sensor technology is used for mat temperature and pressure data processing to improve the precision and reliability of data. By determining the information weight coefficient with the corresponding measurement variance of each sensor the weighted least square algorithm is applied to achieve high accuracy of overall estimation. The precision of overall estimation value is preferable than the partial estimation of each sensor. A target recognition frame of control strategy is set, and D-S evidence combination principles and reasoning theory are introduced to select the object of greatest credibility for decision making. The results of experiment demonstrate the effectiveness and reliability of the algorithm.
Exciting Force Source Identification Technology for Underwater Elastic Structure by MFP
Authors: Xiao Yan , Shang De Jiang
Published: March 2015

An identification method for exciting force source inside underwater elastic structure by matched field processing (MFP) is presented. An underwater elastic cylindrical shell in free field is selected as the investigated subject, and the copy field of sound radiation transfer function is constructed by numerical method. The particle swarm optimization (PSO) algorithm is adopted for the search strategy. Both the simulation results and the experiment results show that: this identification method for exciting force source is effective for locating the exciting force source and analyzing the source intensity. The identification result can be applied to predict the radiated noise of the structure accurately.
Face Classification and Recognition Based on Contour and Local Texture Feature
Authors: Zhao Wen Cang , Qi Dan , Tong Bo
Published: March 2015

In order to achieve fast and accurate face recognition, firstly, this paper extracts face contour lines based on face contour feature to achieve treat a human face shape classification, thereby reducing the measured face search range. Secondly, using the method of Gabor wavelet to extract local texture on face when range was approximately determined, then matching with the face library whose range has been narrowed. Experiments show that this parallel approach not only achieved rapid recognition, but also achieve a high recognition rate due to a combination of the two methods.
Coke Rate Prediction Model Based on Genetic Algorithm Optimized Support Vector Machine
Authors: Yue You Jun , Hu Yan Fei , Zhao Hui , Wang Hong Jun
Published: March 2015

The accurate prediction model’s establishing of the blast furnace coke rate is important for optimizing the integrated production indicators of iron and steel enterprise. For the problem of accuracy of the model of coke rate, This paper established blast coke rate modeling with support vector machine algorithm, the model parameters of support vector machine was optimized by genetic algorithm, then a coke rate model based on support vector machine with the best parameters was built. Simulation results showed that: the forecasting model’s outcome, average absolute error and the mean relative error, was small which is based on genetic algorithm optimized SVM. coke rate model based on Genetic algorithm optimized support vector machine has high degree of accuracy and a certain practicality.
B-Spline Surface Reconstruction from Cloudy Data Using Weighted Least Square Fitting
Authors: Lin Zi Zhi , Shu Si Hui
Published: March 2015

In this paper, we present an algorithm for surface approximation to the measured cloudy data with four boundaries. Several key techniques about this algorithm are also described, such as base surface construction, projection and weighted least square approximation. We use weighted least square to reduce the times of iterations, because the iteration is a very expensive and error prone process. We add a positive weight to each point, and the weight-adding algorithm is introduced as well. Increasing the weight onto this point will decrease the approximation error of the point. Finally, some examples of this algorithm demonstrate its effectiveness and validity.
Numerical Investigation of Nonlinear Filtration Problems of High-Viscosity Fluids in Porous Media
Authors: Badriev Ildar B. , Banderov Victor , Singatullin Marsel T.
Published: March 2015

We consider a steady process of filtration of the incompressible high-viscosity fluid, following non-linear filtration law. Generalized statement of this problem is formulated in the form of operator equation with monotone operator in Banach space. To solve the operator equation, we suggest iterative method that does not require the inversion of the original operator. Each step of the iterative process can essentially be reduced to the solution of the boundary-value problem for the Laplace operator. This method was realized numerically. The numerical experiments made for the model problems confirmed the efficiency of the iterative method.
Research and Realization on Image Preprocessing Technology Based on Improved Median Filter
Authors: Zhao Hui , Shi Nan , Wang Hong Jun , Yue You Jun
Published: March 2015

Aiming at the problem that traditional median filter algorithm cannot process collected images quickly and efficiently, this paper adopts improved median filter and makes use of advantages, such as fast running speed, parallel running of inner program, to design an image preprocessing system with high real time ability and high flexibility. At last, compared with MATLAB median filter simulation figure and multilevel median filter, it has shown that using FPGA to process and improve median filter can not only conduct median filter to images successfully, but also has the ability of fast operation speed and low energy consumption.
Research on the Anti-Collision Techniques of Radio Frequency Network of Pasture
Authors: Zhao Hui , Zhang Ying Qiao , Wang Hong Jun , Yue You Jun
Published: March 2015

To study the problem of the identification of multiple ear tags of cattle occur data collision in the RFID network of pasture, the experiment use an improved anti-collision algorithm, it is combined bit locking with dynamic and analysis method, only colliding bits are processed by the method of binary, during transmission the data are dynamic, only send known information, which receive complementary bits of the known information, and then analyze the performance of the algorithm and simulation. The results show that compare with traditional binary algorithm, the improved algorithm from the operating frequency, transmission delay, data throughput have obvious advantages, the improved algorithm that could solve the problem of data collision cause by the cattle those wear ear tags get into radio frequency region, improve the efficiency of the tag identification.
Textile Processing Anomaly Detection Based on Time Domain Features and GA-SVM
Authors: Yang Jian Guo , Xu Lan , Lu Zhi Jun , Xiang Qian , Liu Bin , Liang Steven Y.
Published: March 2015

Demands of automatic recognition of abnormal patterns in control charts have been increasing nowadays in manufacturing process. Control chart pattern recognition is an important statistical process control tool used to determine whether a process is run in its intended range or not and eliminate the potential attribution factors as far as possible according to the abnormal condition shown in the control chart. This paper uses the time domain features as input vector and genetic algorithm to obtain the optimal parameters of SVM in a self-adapted manner. Design anomaly detection model for dynamic process is made to realize control chart pattern recognition under the complex condition. The experimental results show that the proposed approach method has higher detection accuracy and stronger generalization ability than other methods, so it is more suitable for quality control in production field.
The Technology of Digital Image Hiding Based on Discrete Wavelet Transform
Authors: Pang Hua Wei
Published: March 2015

On the basis of researching wavelet transform, we give a fast wavelet image hiding algorithm. Wavelet transform coefficient of the carrier image will fusion the information image's, Then using inverse wavelet transform gets the original image. In order to improve the performance of anti-attack of the hidden image, before hiding information image we do the scrambling operation. Experimental results show that the scrambling algorithm and hiding algorithm combines not only further enhance the security of the hidden system and robustness has also been enhanced.
The Application of Multi-Hypothesis Targets Algorithm in Track Association
Authors: Yin Wen Jin , Zhang Jing Yuan , Liu Hui , Rao Zhe
Published: March 2015

Track association is an important role in torpedo anti- acoustic countermeasure. This paper put the multi-hypothesis targets algorithm which based on kalman filter theory into application of multi- targets track association. Data simulation experiment proved it that multi-hypothesis targets algorithm can effectively solve the measurement target data association problem .The target track can also be affirmed in short time
Study of Flexible Waterproof Layer Thickness Measuring Based on B-Mode Ultrasound Image
Authors: He Tao , Gong Li , Cai Xiao Long , Zhu Ya Chao
Published: March 2015

The thickness of flexible waterproof layer is one of the most important characters in waterproof project construction. There are some problems in the traditional waterproof layer thickness measuring, such as destructiveness, low efficiency and high cost. Just because of these faults, a measuring technology, based on B-Mode ultrasound image is introduced. According to the characters of the waterproof layer, on how to accomplish waterproof layer's thickness measuring is studied, using image analyzing technology. And finally it is realized with a certain measuring precision.
A Method of Indoor Localization Based on BLE4.0 Protocol of Using Beacons
Authors: Bian He Shan , Li Zhao Hui , Zhao Fang
Published: March 2015

In this paper we discuss our attempt to solve the problem of HAIP(High Accuracy Indoor Position) by using BLE4.0(Bluetooth Low Energy). According to previous research, Wi-Fi Positioning has mainly faced some big challenges. Accuracy is deteriorated by directional handset antennas, which affect the relative AP signal strength; Practical maximum reachable accuracy is 3-10 meters depending on environment; Wi-Fi activities is a big consumption of battery on Mobile Terminal; Now, The Bluetooth Low Energy technology is getting mature. In this paper, we use Bluetooth low energy on iOS device to solve the problem of high accuracy indoor position. In the data-preprocessing step, we use Kalman filter to process the RSSI. In the transition step of RSSI to Distance, we propose a novelty method to adjust the parameters of Log-Distance model dynamically and adaptively according to diagonal beacons’ measurement. We implement our technique and algorithm on iOS device with iOS7.0 SDK. The result shows that error reduced to 0.5m-1.2m range depending on the distance, achieved smaller power consumption.
Manufacturing Cloud Service Model Based on Adaptive Mechanism
Authors: Zhao Qiu Yun , Wei Le , Shu Hong Ping
Published: March 2015

In order to improve the adaptability of manufacturing cloud services in the dynamical and open cloud manufacturing environment, a manufacturing cloud service model was proposed based on the adaptive mechanism. Using the model, external changes are sensed by the event-driven approach. The explicit description of environment is provided. According to preset policies, adaptive operations, such as adding, deleting, replacing and updating, can be executed when necessary. The service behavior and structure are adjusted by adaptive operations to guarantee the service performance. The adaptive operation algorithm of cloud services was given. Finally, the effectiveness of the model was demonstrated by a real instance.
A Load-Balanced Coding-Aware Multicast Routing in Cognitive Wireless Mesh Networks
Authors: Shen Xiao Jian , Chen Zhi Gang
Published: March 2015

Cognitive wireless mesh networks use network coding techniques can improve the transmission performance. Thus, a new load-balanced routing measure CRM-LB(Coding-aware Routing Metric with Load Balancing) based on network coding was presented, the CRM-LB increase of the considerations of traffic concentration level congestion level all nodes on the path P based on CRM(Coding-aware Routing Metric). Further proposed cognitive wireless mesh networks multicast routing CLR(Coding and Load-balancing Routing) based on the CRM-LB. The protocol can increase network coding opportunities, taking into account the network load balancing. The performance analysis and simulation results show that the protocol, under the premise of improving throughput, not only to better support network coding, and to achieve load balancing in network.
Instant Communication Method of Design and Development Based on Local Area Network in Linux
Authors: Lei Ming
Published: March 2015

This document discusses an instant communication method of design and development based on Socket local area network. Based on the Socket local area network communication, software can provide for the original enterprise a good, safe, fast communication mechanism. It achieved without any changes for the original Local area network (LAN) hardware, and in the enterprise internal communication, discussion and other applications, it has a certain practical value.
A Localization Algorithm for Wireless Sensor Network Based on the Weighted Correction in Geometric Measurement
Authors: Cao Meng Long , Yang Chong Xin
Published: March 2015

Firstly, the characteristics of regular Zigbee localization algorithms-the received signal strength indicator algorithm (RSSI) and the weighted centroid localization algorithm are introduced. Then, the factors of the errors existing in the aforementioned algorithms are analyzed. Based on these above, the improved RSSI algorithm-correction geometric measurement based on weighted is proposed. Finally, utilizing this algorithm to design and implement the localization nodes, which have the CC2431 wireless microcontroller on them. The simulation and experimental results show that the accuracy of this localization algorithm improved about 2%, comparing with the regular algorithms.
Three-Party Simultaneous Quantum Secure Communication with Unidirectional Qubit Transmission
Authors: Yin Xun Ru
Published: March 2015

A three-party quantum secure direct communication protocol is proposed, in which the qubit transmission forms a closed loop. In this scheme, each party implements the corresponding unitary operations according to his secret bit value over the quantum channels. Then, by performing Bell measurements on the encoded particles, each party can extract the other two parties’ secret information simultaneously. Thus the three parties realize the direct exchange successfully.
Traffic Accident Analysis of Novice Drivers
Authors: Chen Qi , Zhang Dao Wen , Hao Hai Bin , Ma Hong Kun
Published: March 2015

According to the research on novice drivers whose driving experience within 1 year, over 1 year to 2 years and 2 to 3 years in Sichuan province, this paper made deep analysis about the proportion of traffic accidents, proportion of novice drivers taking part in traffic, the relative possibility of traffic accidents. It screened out the high-risk group of novice drivers and did research on the causes of traffic accidents of novice drivers.
Military Logistics and Transport Model Design Based on Maritime Engineering
Authors: Han Tzeu Chen , Sung Arthur , Dye Chung Yuan , Chou Chien Chang , Wei Chih Chiang
Published: March 2015

As a response to the National Army’s planning of all-volunteer military system and maintaining of their combat capability for national defense, the military logistics model choice is one of very important issues. In this paper, Analytic Hierarchy Process (AHP) method is conducted for selecting an optimal transportation model in the Navy logistics between Taiwan Island and Kinmen Island.
Design of Spindle Dynamic Balancing Basing on Discal Work
Authors: Zhou Da Shuai , Zou Nai Wei , Sheng Chang , Yao Jia , Lu Wei
Published: March 2015

This Paper analyzes the principle of high-speed spindle electromagnetic dynamic balancing device and designs a device driver. The device is a dynamic balancing system for high-speed spindle which guarantees the machine running normally and gives significantly improved part surface quality. According to the equilibrator and clutch working sequence the driver activating the balancing device was designed based on AT89C51 and PMM8713 to control the electromagnetic dynamic balancing device in real time.
Empirical Study on Intelligent Systems Coordination – A Case Study of Intelligent Tourism
Authors: Cai Rong Rong , Tang Shu
Published: March 2015

Based on the traditional theory of the intelligent systems, as well as the present study on intelligent tourism, Tourist Satisfaction Index model of Intelligent Tourism is put out in this paper. With the data collected in Nanjing, statistic materials suggest that two variables, Perceived Quality of the Intelligent Tourism and Intelligent City, play the most important roles in tourist satisfaction of intelligent tourism. The further analysis reveals that the factor under Perceived Quality of Intelligent Tourism, including Intelligent Transportation, Public Service Platform, Intelligent Hotel and Intelligent Travel Agency, as well as the factors under Intelligent City including Intelligent Governance and Intelligent Environment are the most important factors in the model.
Financial Management Risk Identification and Measurement in UHV Project
Authors: Wang Jin , Wang Lu , Xu Yang , Wang Xiao Yu , Song Zong Yun
Published: March 2015

Compared with the general power engineering projects, UHV projects have characteristics of large construction scale, wide radius of management, long management chain and many units involved. Therefore, UHV projects have many financial risks which are different from general power projects. Identifying and measuring risks of financial management in the UHV project is of great significance to avoid important financial risks and improve the efficiency of project financial management. After combing the present situation and characteristics of the UHV project financial management, we use the “three whole” to identify UHV project financial risks from an all-around point of view. Then each importance score of the risk is obtained by expert scoring method so as to divide all the risks into 3 groups, significant risks, important risks and commonly risks by clustering analysis, which can provide the basis for optimizing UHV project financial management mode in the future.