Design, Manufacturing and Mechatronics

The following sections are included:

• Editorial: Recent Research on Engineering and Technology
• Contents

Riding or driving is not only to satisfy the need of people's daily traveling, but also a way of leisure of people. This article introduces a kind of manpower auxiliary electric vehicle for entertainment. The front wheel is steering wheel. The frame of chassis is equipped with the system of rear wheel drive. The system of rear wheel drive is composed of electric drive and manpower pedal drive. In which electric drive and manpower pedal drive can be used in mutual conversion through the clutch device; the structure of the works is easy, clean and environmental protection. It is not only operated easily, realizing the combination of the electric power and the manual operation skillfully, but also enhances the enjoyment and practical application of driving.

Based on the molding process and main parameters of straw cup container, according to the design requirements by using the finite element software simulation analysis is carried out on the straw packaging container, accurately reflect the force situation of container everywhere, and provide theoretical data for container structure optimization and production practice. To determine the quantitative conveying mechanism adopts screw conveyor feeding mechanism, through the screw feed to realize quantitative measurement to control the material feeding. According to the design requirements of the screw conveyor feeding mechanism by using the finite element software parametric design, can improve the quality of a variety of molding of packaging products, shorten product development cycle.

Electrical equipment fault diagnosis technology is being widely applied in all walks of life, the paper focuses on the classification of the diagnostic technology and process and its application in practical production. Through the study we conclude that the method of equipment fault diagnosis technology are: the traditional fault diagnosis methods, mathematics diagnosis and intelligent diagnosis method. The development trend of fault diagnosis technology is more close to the actual production, improve the diagnostic accuracy and rapidity, such as neural network and fuzzy diagnosis is not commonly used. diagnostic techniques are combined to incorporate new sensing technology, the fastest signal processing method, the latest sensor diversified information, etc., all kinds of technology mix together to promote the development of diagnostic technology. Finally through the motor stator fault simulation, fault diagnosis technology is to make a clear and intuitive understanding.

To solve the gradually varied failure prognostics problem of electronic system, a method of grey relevance vector machine (RVM) based on fruit fly optimization algorithm (FOA) is presented. The original data series are processed by grey data generation operation as input, and the kernel function parameter of RVM model is optimized based on FOA and k-fold cross validation to establish the prediction model. And the performance of the proposed model is validated by radar transmitter fault prediction experiment. The results demonstrate that the presented method has better global optimization, convergence speed, prediction accuracy and reliability than the existed methods.

Lunar dust plays an important part in Lunar Exploration Program. Lunar dust may be readily suspended from the surface and transported by lunar rover. In this paper, a wheel dust raising simulation test system based on the characteristics of travel conditions on lunar surface is established. Simulation test of lunar rover wheel dust raising has be done in this test system. The test result show that when the lunar rover traveling speed reaches 0.5m/s, a few of raising dust particles appear. The faster the lunar rover traveled, the higher lunar dust raised caused by lunar rover driving. This paper also obtains the relationship between traveling speed and raising height. This research is significant for China Moon Exploration project.

Mechanical product design knowledge can be acquired from various sources and generally requires an effective representation for its efficient re-use. In this study, according to the characteristics of design knowledge of mechanical product, design knowledge was classified into product knowledge, process knowledge and product support knowledge. The open design knowledge representation and its application are described in detail, and combined with the development of lathe feeding box design system based on knowledge, an application case of knowledge fusion is given. The results show that product design knowledge is represented in an effective way will solve the problem of fusion of product design knowledge and product design processes, and improve greatly the utilization efficiency of product design knowledge.

In order to meet the requirements for application of high-concentration gas, a mining diesel engine EUP (electronic unit pump) is developed. The EUP is designed to adopt a mining encapsulated high-speed solenoid valve, of which key components take coupling manufacture and assembly technology, including plunger coupling, valve stem coupling and delivery valve coupling. It can achieve high-pressure injection, injection timing and multiple-injection to meet increasingly strict emission regulations, reduce fuel consumption and realize energy saving and emission reduction. A performance test is carried out for the EUP on the oil pump experiment bench. Test results show that the EUP has an oil consumption difference below 5% from similar foreign products under four speeds; it can perform well to meet domestic market requirements.

Northern Region for the special ecological conditions of crop growth, describes the development of facilities and management of automated inspection of agricultural environmental factors, the relevant sensor is analyzed, the selection criteria, facilities are given automatic detection and management of agricultural environment, the hardware and software design solutions, proved clearly that the design ideas, principles, clear, with reasonable control, simple structure, easy operation, low price and so on.

This paper contributes to put forward a kind of three level manufacturing service selfadaptive correlation matching method based on semantic relevancy of ontology concept attributes. The method will be converted the manufacturing service matching to ontology mapping problem, established a manufacturing service module matching process associated with the concept of ontology semantic degree conversion model. According to the functional attributes in manufacturing services, we proposed the three level selfadaptive matching algorithm based on the manufacturing service category, content and interface, the self-adaptive matching process is formalized, gives the total matching degree calculation method of three level self-adaptive matching.

In this paper, an efficient optimization method for minimizing the maximum equivalent stress of root-rim has been developed, in which the processes of using the parametric design language (APDL) programming to construct the model structure and the genetic algorithm to optimize the model parameters were carried out in collaboration. The results of initial designed blade valid the accuracy and efficiency of substructure method when compared with the conventional method. As a result of optimization, the maximum equivalent stress of root decreases by a reduction of 6.83% and the maximum equivalent stress of rim decreases by a reduction of 11.83%.

We investigated the simulated aerodynamic performance of the sample coaxial compound helicopter in a low forward flight by CFD method. And the interference parameter K_T and H/R are introduced to describe the mutual interference between upper rotor and nether rotor and the distance between upper rotor and nether rotor. Then, the effect of the inclination level α, the dimensionless parameter H/R and flying speed v on the interference parameter K_T and vertical tension F_L is explored. Finally, by using the orthogonal method and putting the parameter K_T as test index, we explored the optimal setting on these three essential parameters. These findings will provide a useful guideline for determining essential parameters in designing the sample coaxial compound helicopter.

The chemical grouting technique has become one of effective approaches to soil reinforcement and maintenance in the field of geotechnical and hydraulic engineering. According to the high pressure and large flow rated conditions, in which the pressure is 10 MPa and the flow rate is 120 L/min, the structure form of valve plate of axial piston pump is determined. Furthermore, the essential parts of pump including piston, valve plate, slipper and bearing are designed. Finally, the structure of valve plate axial piston pump for chemical grouting is integrated, which provides the basis for subsequent processing and performance test of prototype.

How to construct the plant-level virtual environment scientifically and efficiently is the most important issue to realize digital factory. This document takes a core enterprise of the rail transit equipment in China for example, explains and demonstrates the construction of plant-level virtual environment based on CATIA, including basic data collection and arrangement, the choice of modeling method, the standards of implementation and the lightweight of 3D model. On this basis, this article built virtual environment and implements navigation view. The proposed method conforms most enterprise's present situation and needs.

Based on the analysis of function for guide pillar and sleeve in the die structure and the process of forming, this paper proposes a new guide pillar and sleeve structure design, and probes into its manufacturing process. The new type of guide pillar and sleeve was designed to have the immersed self-lubricating structure with an oil storing cavity. According to the contrast test, this structure can significantly improve the accuracy and life of guide pillar & sleeve, and provides a precise and efficient guide device for high speed stamping design.

According to the design requirement of high speed vertical machining center, this paper established a simplified 3D model of ball screw nut pair by using SolidWorks software, and then meshed it in HyperMesh software and imported into ANSYS software to establish the finite element model. According to different motion states and support modes, the modal analysis of the ball screw nut pair is made, the result shows that the support mode of fixed at both ends has greater stiffness than other support mode.

This thesis analyzed the problems existed in traditional graduation program. After instructing college students' graduation project, the authors have acquired a lot of experience and received great achievements. Moreover, the authors have applied modern design method to in-class teaching activities, experiment courses and extracurricular technical activities. This thesis illustrated the importance of adopting modern method to graduation project by analyzing teaching experience and methods and students' achievement. By fully utilizing the graduation project, college students can form the modern mechanical design concept. And also, students' have become more and more interested in learning through graduation program. Finally, students' analyzing and problem solving ability can be cultivated. These abilities play a fundamental role in college students' future development after graduation.

How to fast and automatic test T/R component of radar is a problem for the maintenance support staff. The T/R component test system based on PXI interface is mainly to realize principle analysis, test and fault location of T/R component. The T/R component test system is composed of frequency sweep signal source module, digital spectrum analysis module and standing wave test module. The control system and human-computer interface design is adopted in integrated portable PXI bus form. The hardware design and software design of the test system is given and discussed.

Assembly model is the key information applied in 3D design software. The information of the character, hierarchical and assembly relationship of assembly model are discussed. And the expression method of component information model and storage model are established. The relationship of the components should content not only the assembly information but also the function information in order to help the designers for problem solving. The mapping library for assembly relationship and function relationship is founded in order to support the component analysis. Knowledge model of the component is realized by object-oriented method. As an example, the function relationship of a tug-of-war robot is gotten based on the assembly model of it in Solidworks. The efficiency of the knowledge model for the inventive problem solving is illustrated.

At present the compliant gripper is mostly designed by the form of single middle-driven input, but it is necessary on the practical use for the gripper whose loads are on the two sides. The mathematical model of compliant gripper was built based on the variable density method, and the method was also used in the structural topology optimization on the design area. According to the topology optimization result, the gripper model was rebuilt by empirical method to make it from rigid body to flexible body. The influences of element type, element quantity and reserved volume fraction on the topology optimization process were analyzed in detail. A new type of no-assembly compliant gripper had been designed, and the feasibility of the design was verified.

According to the characteristics of the tree branches and the simulated experiment of branches compression, the Branches Strapping Machine has been designed in this paper, including feeding device, wedge-shaped extrusion device, hydraulic secondary extrusion device, strapping device, cutting device and discharging device, etc. The machine has a excellent compression ratio, which can realize the function of compression, strapping and containerization in terms of tree branches; which can solve the problem of Big gap of branch stacking, Not easy to loading, No-load phenomenon; which can improve the efficiency of automobile transportation.

In order to achieve accurate positioning of underwater submersible, a spiral underwater positioning device for operating in the river water is presented in this paper. Firstly, the underwater locating technology development background, current research and classification are introduced. Secondly, the working principle of the underwater locating device is analyzed. The spiral structure and work process of underwater positioning device is summed. Finally, a compact spiral underwater locating device is designed. The institutional design of the spiral underwater positioning device is completed. Designed results show that the effectiveness of the underwater positioning device.

This research paper presents an innovative concept of a manual retractable tubular steel monopole tower for a 4 kilowatts horizontal axis wind turbine. The manual retractable wind turbine tower is designed to reduce on current high costs of wind turbine components, onsite installation and improve on small wind turbine reliability in both urban and rural areas. CAD models of the tower sections, rack and pinion gears for extension and retraction mechanism and hitch pin for locking tower sections are designed in Inventor Autodesk 3D software and optimized using TRIZ inventive tools. The extension and folding of the tower is simulated by the ANSYS workbench software to analyze the structural behavior of the hitch pin during the wind turbine operation and the stress analysis results are presented.

The sesmic structure of reinforced concrete meets not only the strength requirements. The ductility of building structures is to ensure that building have a certain energy dissipation capacity and deformation to avoid sudden brittle damage in the earthquake and fierce wind. This thesis introduces the significance of frame structure design and ductile design. It also puts forward some ideals and methods of ductile design by analyzing some damaged situations in the earthquakes.

To improve the defect of finite impulse response (FIR) digital filter design, like complicated theory and calculation, the Particle Swarm Optimization (PSO) algorithm is introduced to solve the multi-parameter optimization problem. And catfish effect in nature and chaos are also taken into consideration separately to improve PSO algorithm, where catfish effect is used to improve the population search strategy and chaos is to transform the individual evolutionary strategy. Due to this, the two ways are integrated together then a more stable passband, greater stop-band attenuation and narrower transition band width than other three methods is obtained.

Response and management decision making for major emergencies is a very complicated non-structured problem featuring large spatial and temporal ranges with factors involved characterizing in evident spatiality, non-linear and randomness, so it is necessary to utilize modern information technology to support the whole process or major links. The theoretical and technological development of SDSS has provided opportunities to resolving this problem. Focusing on the features and demands of major emergencies response management in large-sized enterprises, this paper provided a general design of response decision support system for major emergencies from system structure, logical structure, software function etc.

Based on the heat transfer theory, the finite element methods and GDO optimization techniques, the temperature distributions and factors of the long neck valve cover were studied. The results show that cold-keeping layer thickness and the bottom temperature of the valve stem stuffing are nonlinearly related and exists an optimal interval; that drip plate could slow down the transfer speed from medium cooling capacity to the stuffing box and the top of stem effectively and that relevant parameters such as height, radius and thickness of drip plate have an effect on the bottom of stuffing temperature. The results also provide reference value to optimization design of cryogenic ball.

Based on the analysis of tool compensation method for boring or drilling and rigid tapping on a machining center, a special method, which makes the length compensation along the coordinate travel rather than measuring the tool dimensions inside/outside the machining center, was proposed. As the first step, the coordinate is established by using the program origin, which corresponds to a local point of the workpiece, as the coordinate origin. The second step is to set the tool. The z-axis of contact point between the tip of turning tool and the machining datum plane is used as the value of length compensation. The third step is to input the z-axis value of coordinate travel into the corresponding length compensation table to replace the value of tool checking instrument. An example of boring and rigid tapping on a workpiece is given to present a complete process of the length compensation method using machining center.

Ramming mechanism is the key part of large-calibre artillery for automatic loading. In order to analyze and simulate the fault relationship of ramming mechanism, mechanical dynamicl model is established in Pro/E and MSC.ADAMS, hydraulic control model is established in EASY5. Combined modelling and simulation is realized by ADAMS/Controls. The credibility of virtual prototype is verified. The dynamic response of ramming mechanism can be obtained based on combined simulation and generate the kinematic, dynamic and fault rules.

An automatic distribution pipeline connector system that can applied to the outdoor long distance was developed in this paper. The system self-test, human-computer interaction, fault diagnosis and alarm function module were designed in this system. Field testing and validation analysis showed that the device enables distribution by artificial intelligence and can achieve the desired effect under the speed of 20 km/h with reasonable manual adjustment.

For the reasons of refueling manual labor frequent, labor-intensive and poor security issues for air compressor with air drilling, the automatic air compressor oil system was designed. A small explosion fuel pump was used to suck out the fuel from tank and the flow-meter was used to measure the fuel that pipe into the total pipeline. A dozen of sub lines were connected to compressor oil pipeline and each sub line was installed with a solenoid valve and a manual shut-off valve to realize automatic control and manual control. Each compressor tank fuel level was monitored by liquid level transmitter and the real-time data was sent to computer. The solenoid valve was controlled in accordance with the set for automatic fuel oil, and the real-time parameters were displayed on the LCD screen and alarm was set to achieve fault information. Intelligent detection and automatic control technologies were used in the system to enable the automatic Refueling System for Air Compressor safe, stable, reliable and environmentally friendly.

Multi-rotor elastic torsional system has a feature of large speed fluctuation range and long vibration time. The state–space model of the system was founded through the system analysis, and the parameters of this model were estimated by Simulink Parameter Estimation Toolbox. The speed was controlled by DMC algorithm. Both the simulation and practical tests show that the model was accurate and DMC algorithm was better than cascade PID algorithm in dynamic performance.

A dynamic mathematical model of eight degrees of freedom of a car is established, based on this, an adaptive control strategy based on reference model in which yaw torques of feed-forward compensation of steering angle and feed-back compensation of yaw rate deviation and side-slip angle deviation are inputted is proposed. Finally, under the environment of Matlab/Simulink software, a double lane conditions simulation is conducted with a certain target car. Results show that the algorithm can identify and regulate under-steering and over-steering of a car real time under typical conditions which prone to lose stability, follow the desired yaw rate and the desired side-slip angle of reference model accurately, and adjust the yaw braking moment of feed-forward and feed-back compensation adaptively. Thus, the correctness and effectiveness of the control algorithm is verified, and the handling and stability of a car is improved.

The gas generator generates continuous flow by fuel combustion in air. In order to guarantee the efficiency and stability of gas generator, the requirement of regulating speed and accuracy of air pressure is very high. The system use cascade control of pressure and position, bonding with fuzzy PID control strategy. The regulating speed is good and the control accuracy is very high by parameter optimization. The control accuracy of air pressure regulator valve position is more accurate than 0.2%. Between 2MPa to 5.8MPa, the regulating time of air pressure is less than one second and the control error is less than 0.1 MPa.

In this paper, a fuzzy back-stepping hybrid control method for mobile robot trajectory tracking is proposed. The finally outputs of the controller is obtained through two steps, in the first the outputs are computed by back-stepping technique and fuzzy logic controller respectively, and then the outputs are fused through Sugeno slid mode fuzzy method. The main advantages of this method include smooth change of velocity and small tracking error when the initial tracking error is large. The experiment results demonstrated the feasibility of this hybrid control method on the trajectory tracking of mobile robots.

Limited range is one of the key factors restricting battery electric vehicles' development. This paper presented a method to the acceleration control problem for improving the efficiency and driving range of BEVs. Motor system's efficiency modeland battery's equivalent model was developed. A fuzzy logic controller was developed to deal with the driver's intention recognition. A dynamic programming algorithm was developed to optimize the objective function. The control strategy was able to define the optimal motor torque trajectory based on driver's operation. Simulation results demonstrate that the optimal trajectory's electricity consumption is improved by 13.2% compared with the regular control.

According to the phenomenon that the current experiments associated with control principle of automation major generally are based on MATLAB simulation, and they are not combined very well with the control objects, this experimental system aims to design an appropriate system that meets the teaching needs, and it can provide experimental platform for students to learn the principle of automatic control, MCU, embedded system courses. The main research contents of this system can be divided into three parts: the design and implementation of ultrasonic ranging module, and that of control and drive module, design and development of PC software. Ultrasonic ranging module realizes the function of determination the current position of the floating ball, and feedbacks this position to the drive and control module. Drive and control module receives the position information of floating ball from the ultrasonic ranging module. This position information is compared with that derived from PC or setting target. This system uses the PID control algorithm to adjust wind, and its ultimate realization is to control the floating ball go to the target location, meanwhile, the floating ball trajectory information is transmitted to PC for display, analysis, processing. PC software can also set the floating ball target position and trajectory and sent them to the control and driving module.

Aimed at the problem that different oil pressure changes of clutch had different effects on the shifting quality of dual clutch automatic transmission (DCT). YTO-1804 tractor was selected as the reference object. The shifting process of tractor's DCT was analyzed and the dynamic models of shifting process were built. The shifting process was divided into five stages. Based on the Matlab/Simulink software platform, the simulation model of the whole shifting process was built. In the plowing condition, the simulation analysis that the different clutch oil pressure changes affected the shifting performance of tractor's DCT was done. The simulation results indicate that with the clutch oil pressure change slope decreasing, the shifting time increases, the jerk degree reduces and the sliding friction work becomes large, which better reflects that shifting quality of tractor's DCT is influenced by the clutch oil pressure changes condition. The basic theory and model foundation for the further research on the shifting performance of tractor's DCT are provided.

Different liquids can be identified by the Drop Analyzer based on the fiber-capacitive sensor inside the liquid drop. The fluid supply system controller STC12 and the data processing system controller S5PV210 are applied in the original Drop Analyzer. Their overlapped functions cause the increasing cost and power consumption. The complexity of circuits leads to the instability of data acquisition. The optimization method is presented in this paper, which is based on integration of data processing system and stepper motor control system. A new control interface of stepper motor is designed based on QT. Experimental results show that the quality of the collected capacitance signal is improved and the structure of hardware is enhanced. It makes the Drop Analyzer more applicable.

High-power switching devices in control power supply have different saturated forward voltage drops and the inconsistency of turning on/off times and they lead to the inconsistency in the external characteristics of the inverter modules in parallel operation. Modules with good performance in external characteristics undertake more currents and lead to overloading status and modules with bad performance in external characteristics stay in light-loading status, which increases the thermal stress of module undertaking more currents and influences the service life of high-power switching devices. Based on the simulation analysis of the small-signal module using control power supply automatic current sharing method, it is able to find out the characteristics of current-sharing loop control, namely, slow response speed of the current-sharing loop, which is beneficial for improving the stability of the entire control power supply system.

In order to study AR model and wavelet decomposition's effects on EMG pattern recognition rate, we decided to analyze the EMG signal with the above two different methods and then compared the results. First, we detected the action period of collected EMG signals, so as to obtain effective data for analysis. Then extracted the feature of EMG signal with two methods of AR parameter model and wavelet decomposition. Enhanced the feature separability by taking the feature space dimensionality reduction method and identifying artificial neural network as a pattern classifier. Finally, given the experimental results. We can know that wavelet decomposition method has a higher recognition rate and has more application value from the experiment. What's more, the information fusion based AR model and wavelet decomposition has laid for the improvement of EMG pattern recognition rate.

A new type of servo-variable pump and variable pump controlled system are developed in order to solve the problems of big throttling loss and low efficiency of energy in the valve controlled electro-hydraulic servo system. The pump displacement servo control is realized by using a small power servo motor to drive the pump swash plate variable mechanism of axial plunger variable pump. The close variable pump controlled system and its mathematical model are established. The feed forward-feedback iterative learning control method is applied to tackle the position servo control of variable pump controlled system. The simulation model is structured on the platform of Simulink. The convergence and tracking characteristics of feed forward-feedback iterative learning control are researched by simulations. The results show that the proposed method possesses good convergence characteristics, and the smaller tracking errors and hysteresis can be achieved compared with the traditional PID controller for the variable pump controlled system by three to four iterative learning.

Fiber optic gyroscope (FOG) is a new angular rate sensor based on the Sagnac effect. Its stability, reliability and miniaturization are always the research focuses and difficulties. This work applied FPGA to design a circuit for the digital closed loop control system of FOG. The proposed dual closed loop technique improved the zero offset stability of FOG. The using of FPGA brought the digital signal processing by software, the system reliability and agility enhancement as well as the system miniaturization. We also developed some samples of FOG using this design method. The experiments and tests show that the proposed method is efficient and valuable. The stabilities of zero-offsets of all samples are less than 0.075 deg/h.

A sub-area partition algorithm is proposed in this paper based on state connectivity matrix with flow variance in intersections within the road network. Then regional connectivity operator obtained from the algorithm is imported into area control model. Area control with user equilibrium is transformed to single program problem by model analysis and a gradient projection algorithm is established as a solution to the model which is applied to an area control sample. The result demonstrates that this model is more efficient in area control for oversaturated traffic than TRANSYT scheme.

In order to meet the need of the new generation of weapon equipment development and promote the testing capacity of the wind tunnel, the multi-functional support mechanism for the wind tunnel was developed. The interference and coupling among the multi-axis always occur in the kinetic motion. In order to guarantee the device in realizes the attack angle α and the slide angle β pinpointing process, according to the request angular speed uniform speed rotation, and guaranteed that the model center does not deviate in the rotation process the wind tunnel center. Based on the comprehensive mathematical analysis to the crosswise translation organization speed and the potential motion relations in the attack angle α organization, the slide angle β organization, Y to the elevating organization, X-direction and Z-direction organization, this paper has conducted the detailed resolve of compound movement and the deep research to the multiple spindle linkage speed and the position control method, finally uses the control hypothesized kingbolt, Alpha, Beta, x, z, y organization position follow. It resolved multi-axis kinetics motion control of the model attitude system, and guaranteed that the model center does not deviate in the rotation process the wind tunnel center.

Air unsteady flow in wind tunnel test usually results in vibration of model support system, and large vibration can influence the accuracy and reliability of wind tunnel test. To solve the vibration problem, piezoelectric structure with control program is applied to model support system to achieve active vibration control. To verify the damping effect of the structure above, LMS Test. Lab is used in mode test and wind tunnel test on model support system with piezoelectric structure. The test results show: (1) the first mode and the second mode take great parts of the vibration of model support system in wind tunnel test, and the amplitude ratio of the second mode to the first mode increases along with wind speed rising; (2) PID arithmetic can achieve active vibration control on kinds of work condition in test, but the control effect in not unsteady. Neural networks arithmetic causes the vibration expending because of its non convergence. (3) Take vibration acceleration RMS as criterion, the damping amplitude of PID arithmetic and neural networks arithmetic are 92.94% and 83.89% for the first mode, and the damping amplitude of PID arithmetic is 68.65% for the second mode, Neural networks arithmetic will not converge for the second mode as the vibration amplitude is magnified.

There is not direct positive solution but there is direct inverse solution for the configuration of Delta industrial robot. On inverse solution of the configuration of the Delta industrial robot, it is demanded traditionally to construct complex matrix equation and solve trivial equation. This paper proposes a modeling inverse solution method by means of 3D drawing based on UG. In it the displacement parameter or input value of the moving platform in relative to the fixed platform are defined with variable element in UG system, and the configuration of delta parallel industrial robot is solved and draw out. Thus it is possible that the inverse solution of the angel of original input link or output value can be automatically obtained by alter the input value of the moving platform. It is appearance that the modeling inverse solution by this modeling way is simple and the drawing result of the configuration is visual, believable and reliable because of the location and length of link can be check by direct measurement.

Robotic excavators are now widely used, and it is necessary for robotic excavators to have decision-making ability when complex robotic behaviors has to be identified and selected. This paper proposed a quasi-linear SVM with which a nonlinear separating boundary between classes labels is approximately considered as a combination of local linear boundaries with interpolations. This method has the characteristics of nonlinear kernel and linear kernel, and has better performance for the classification judgment of various robotic behaviors. Experimental results on benchmark datasets demonstrate that the proposed method improves the classification performance more efficiently.

In recent years, due to the vertical takeoff and landing, flexible features, multi-rotor aircraft has been widely concerned in the community. Multi-rotor aircraft is regulated by the motor rotor speed, making it obtain the force to achieve a variety of different attitudes. In producing all kinds of flight attitudes of force, we are more concerned about producing the upward lift. This paper has designed a experimental platform of the test for the lift force, then using the solidworks software to do the mechanical simulation, finally, we can get what the experimental platform can withstand the maximum lifting force, thus providing a very useful method for future experiments to measure loading capacity of multi-rotor.

Super maneuver flight movements have been used in aircraft. In order to detect vehicle structure strength and accelerometer performance whether meet the requirements, Flight overload was simulated in the case that aircraft was in different overload. The current domestic research on new type overload simulator was combined, and a dynamic analysis method of overload of flight simulator was developed. The dynamic model of simulator of flight overload expression was established. The attitude of the flight simulator was simulated in the case of varying degrees of overload.

The main vibration sources of unmanned coaxial helicopter were analyzed, and the excitation frequencies of engine, rotor and gear meshing was calculated respectively. Regarding rotor shaft as research object, dynamic model and finite element model were established. Modal analysis was completed by ANSYS Workbench, and natural frequencies of rotor shaft was compared with excitation frequencies, then optimization objectives were proposed. Multi-objective optimization with minimum quality and maximum first-order natural frequency was carried out, and the sensitivities of design variables were studied. The optimization results reveals that resonance is avoided and lightweight design is completed.

The 4-UPU parallel mechanism is a kind of can achieve 3TIR model of less degree of freedom parallel mechanism, and due to the structure of four branched and layout of the hinge which exhibit the same form, so it is also called symmetrical parallel mechanism. The symmetry of the structure is convenient for simple computation for the kinematics and dynamics. Firstly 4-UPU parallel mechanism was established by the model, and then the kinematics is analyzed and solved the forward and inverse position solution algorithm, and finally it verifies the correctness of the algorithm, rationality through the numerical examples.

In this paper, it put forward configuration design of parallel mechanism system of a 3T1R type system method based on the screw theory (i.e. the type synthesis), the synthesis of parallel mechanism is the most important link of the feasibility of the design of parallel mechanism, its judgments based on a spiral theory moving between spiral and spiral binding reciprocal product is zero relationship to construct a leg mechanism may exist, and then through the legs of permutations and combinations of institutions and number of institutions have different structures, deputy sports. And the feasibility and practicability of some configuration verification analysis is proofed. It proved that the synthesis method of helix theory is related to reliability, practicability and simplicity. The later development of new configuration has the theory significance in the future.

With the change of arms combat, in recent years, the guided method of having the terminal angle constraint get an increasing attention. In considering the requirements conditions of aircraft hit the target having landing speed and speed dip, based the idea of the zero reentry vehicle and goals vision angular rate, designed for attacking ground fixed targets optimal reentry guidance law, That is to improve the accuracy of the missile, make the missile hit the target quickly, and put stringent requirements for the terminal angle constraint. The idea of using the optimal control theory, when the aircraft hit the target to meet the conditions of the terminal angle constraint, and ensure reentry vehicle maneuvering speed to loss minimum.

Construction of extent weight function and objective function based on an exponential function of the remaining flight time, introducing constant maneuvering targets, using the optimal control theory, extending the optimal trajectory forming guidance law clusters. The performance of ballistic molding optimal guidance law is higher in energy and speeding, pointing a small error, applying to attack the targets that can evade a missile attack.

The existing Narrow-Band Interference (NBI) suppression methods in spread spectrum system will destroy the original signal to some extent. What's more, the later compensate algorithm is complex and needs great hardware expense, so it is difficult for engineering realization. To cope with such inefficiency, we proposed a new NBI suppression model by separating the interference detection and interference suppression. Firstly, the interference detection based on threshold analysis is designed in frequency domain. Secondly, we proposed a frequency spectrum shifting algorithm which is inspired by the quadratic demodulation idea in communication system. Then the intermediate frequency signal is shifted to base band, and the interference suppression is finished at zero-frequency. Finally, we implement this adaptive notch filter based on FPGA. What's more, the proposed algorithm is different from the common technology in structure and algorithm. Simulation and real test verify the performance of the proposed method. Experiment results showed that the direct sequence spectrum system with this trapped method had excellent suppression ability in terms of strong narrow-band interference.

Data aggregation is an important method to reduce the communication overhead in wireless sensor networks. Authors proposed a Improved Pattern-based Encrypted Data Aggregation Scheme for wireless sensor networks. Cluster head broadcasts the hash value of detected reading to its child and the inner-cluster nodes with different hash values transmit messages to cluster head. Messages were encrypted with symmetric key and the cluster heads completed the operations such as data integrity verification, identity authentication and data aggregation without decryption. Analysis and simulation show that the proposed scheme can resilient against various malicious attacks effectively, provides higher security and lower communication overhead than related schemes.

This paper describes the identity-based encryption scheme's basic procedures and algorithms, and briefly introduces the mathematical principles of elliptic curve, which is the mathematical ground for the algorithm, and the method of selecting the appropriate elliptic curve. It also discusses the constraints of parameters on algorithm implementation and the selection of algorithm. In terms of efficiency, security, key escrow, and key update, this paper explores the problems in IBE encryption scheme, and proposes some suggestions for the improvement of algorithm, so that the identity-based encryption scheme applies to the actual environment better.

The design of high-speed multi-channel real time data collection system based on FPGA was introduced in the paper. The main components of the system and the achieving method of FPGA were described. EP2C5T144 was used for the hardware of FPGA to realize the controlling circuits, multiplexers translator and memory circuit of A/D translator. VHDL hardware description language was used for software of FPGA and TLC549 device with high speed and accuracy was used for A/D converter.

Traditional centralized network management model cannot meet the management needs nowadays, and active network management can only be deployed in active network. In this paper, we propose an efficient network management architecture based on active network techniques. The proposed model has the active network management feature, thus agile and traffic saving compared traditional management model. The proposed model can be directly deployed in the real network, thus practical compared with active network management model.

Now, the dynamic solution is put forward for the QoS of network service problems, the solution is to integrate the mixture of differential evolutionary algorithm and ant colony algorithm into the QoS routing, and the solution adjusts the local pheromone updating strategy dynamically. The optimal global pheromone improves the global convergence of the algorithm. The simulation results show that DE-ACO algorithm is effective to deal with the problem of routing. At the same time, DE-ACO algorithm compares with the traditional QoS multicast routing algorithm in convergence and convergence speed. DE-ACO algorithm has been greatly improved.

There are lots of problems in existing environmental monitoring technologies, for example, sensor node is single, static and sparsely distributed, and multi-source data can be hardly efficiently integrated, which has hindered the development of environmental monitoring. To solve this problem, this paper designs and implements a multi-sensor mobile urban environmental monitoring system. The system integrates both remote sensing sensors and environmental sensors, and all of them are housed in a special car. It obtains data from multi sensors, including spatial data used for measuring real images as well as other environment parameters such as atmosphere parameter, noise parameter, etc. Then it will conduct a series of data processing procedures to effectively match and fuse the environmental data with spatial information. At last, the monitoring results and related analysis information will be visualized and published to the public through the Internet, which can be a good supplement to the deficiency of fixed environmental monitoring stations. Implementation of integrated multi-sensor vehicle-born mobile environmental monitoring platform provides a new solution for the current intelligent comprehensive environmental monitoring.

In the network intrusion detection system (IDS) based on machine learning, the dimension of the input data is usually high. For this issue, this paper proposed an intrusion detection method based on KPCA-RVM. Firstly, the kernel principal component analysis (KPCA) is used to extract the features of the intrusion detection sample data, and the number of new features is determined by the cumulative contribution rate. Then, relevance vector machine (RVM) is utilized to design the intrusion detection system. The extracted sample data is inputted into the system for training, and the classification model is obtained to detect the unknown sample. Compared with other IDS methods, the proposed method is proved to be effective in feature extraction and intrusion detection.

In this paper, a novel modified algorithm for audio communication is applied to optical communications module by audio interface of mobile phone. This module and Android APP of mobile phone can undertake two-way communication, which together constitute a standard independent communication system, and the system is scalable which can even become a platform and implement a variety of rich and useful functions. Furthermore, we combine the LED light with the communication platform. Received by the communication module and then passing the audio interface of the mobile phone, the light signal can be demodulated and transferred into the information on Android APP. The LED light, communication module and the mobile phone form a relatively integrate communication system.

Aiming at the problem of multi-user detection in Ultra Wideband (UWB) communication system, an improved multi-user detector with Quantum Discrete Particle Swarm Optimization (QDPSO) is proposed, which effectively combines quantum computing and intelligent computing in detection algorithm, takes advantage of the user information to detect the target user's data, to achieve the best possible detection results. Through study of the bit error rate (BER) performance on the detection algorithms with different parameters, and comparison on the three kinds of multi-user detectors in BER performance, the results show that the multi-user detector with QDPSO algorithm is superior to the multi-user detector with Discrete Particle Swarm Optimization (DPSO) algorithm and the traditional detector.

To improve detection performance, a new cooperative spectrum sensing algorithm with spectrum state prediction is proposed (SP-CSS). The proposed algorithm combines spectrum sensing information and spectrum prediction information and uses the censor-based reporting way. Simulation results show that the SP-CSS method outperforms the C-CSS method significantly in very low signal-to-noise ratio environment.

The Internet of Things is a new type of technical system combining various types of information technology, the application of Internet of Things in agriculture meets the requirement of modern agriculture development and represents the orientation of future agriculture. In this article the Internet of Things system in agriculture is analyzed according to its systematic structure including its perception level, transmission level and application level and perception level, the sensor is the core of this level, multidimensional agricultural information can be obtained by advanced technology such as sensing and remote sensing about crops, soil and environment etc. The transmission level consists of wireless transmission network combing wireless transmission methods such as Zigbee, GPRS, WIFI and Bluetooth and network technology. The application level involves in intelligent management of agriculture including multi-dimensional information integration, intelligent decision and automatic control. The orientation of research and development is shown for the Internet of Things system in agriculture in this article. Its development will bring a brand-new reform for modern agriculture and realize agricultural automation and intellectualization.

Internet of Things is the third information industry revolution in the world after computers, internet and represents general trend of technological development in the future. The concept and development of Internet of Things are introduced in this article, and it is analyzed about the impact of Internet of Things on modern agricultural products logistics, and the problems existing in current agriculture logistics such as poor equipments, slow information flow in this article. The role of Internet of Things in new agricultural trade and agricultural products logistics and its advantages explored in this article have guiding significance for the development of agricultural products logistics.

In target tracking system, sensor platforms may be mobile. When the motion states of the platforms are unknown, the measurement data of the sensors in different platforms cannot be effectively converged, thereby resulting difficulties in sensors' registration. Therefore, an algorithm for mobile multi-platform multi-sensor bias registration is proposed in this paper when the motion states of the sensors platforms are unknown. In this algorithm, the UKF (Unscented Kalman Filter) algorithm is used for state estimation and the Gaussian mean-shift (Mean-shift) algorithm is used to get the estimate of bias. Simulation results showed that the bias of sensors could precisely obtained when the initial motion state in a given is precise enough.

This paper presents a competition-based clustering routing scheme, CCH, for Wireless Sensor Networks, in which energy efficiency is the most important factor. In CCH every node has a cluster head power value according to their position and residual energy. All nodes in the same cluster compete with each other by the cluster head power value to become a cluster head. The CCH uses rounds to select cluster heads and transmit data, while the cluster is constructed by the base station and cannot be changed. When a cluster head is selected, all nodes in the cluster know which will be the next cluster head in recent N rounds according to the combat log table. This methodology improves the efficiency of choosing cluster head and of communications between cluster heads and the base station.

Virtual machine migration in cloud computing can solve the problem of the unbalancing load and low efficiency of the whole system which is mainly introduced by heavy load on some nodes. The time to trigger the migration is a key problem in virtual machine migration. This study proposes a trigger migration algorithm based on threshold combined with forecasting algorithm. Using the cloud computing tool CloudSim to simulate the method in this paper, it proves that the algorithm can not only effectively realize the node load balance, but also ignore the instantaneous peak value on the node.

Double-field Long-focus Infrared Optical System has higher spatial resolution, secondary imaging structure was adopted, and zooming function was realized through lens axial movement. The result showed that the system can achieve zooming function with focal length of 600-150mm. Optical transfer function value MTF of central field at detector characteristic frequency 20lp/mm was higher than 0.5. The system had higher resolution and contrast, which can meet requirements on long-range target large field observation and small field locking.

A kind of isolated community hide in comment data accompany with the web services. This isolated community is defined as IC. IC has some special attributes as high-cohesion and space-sparse. To process this data using ordinary K-means method, the most essential thing is finding the K clustering centers accurately. It is not guaranteed in ordinary K-means method. This work proposes an optimization using genetic algorithm. We design a fitness function, find out the global optimal K centers and make the clustering most accurate.

The public sector is under increasing pressure to reform in order to improve public administration and services. By adopting more information and communication technology (ICT) and reinventing public management, the potential of e-government has been increasingly recognized. However, the ever increasing complexity and heterogeneity of technology creates the need for improving interoperability between the different systems and among stakeholders. This paper addresses the public sector interoperability issue brought by the e-government practice. It analyzes administrative coordination challenges in providing integrated e-service delivery and proposes policy recommendations. The study contributes to the discussion of promoting e-government innovatively and enhancing public service quality in practice.

In order to solve the problem that traditional iterated closest contour point (ICCP) algorithm cannot reduce the scaling error of indication track in inertial navigation system (INS), an improved ICCP algorithm based on Procrustes analysis is first proposed in this paper. The improved ICCP algorithm led to the minimum square of the residual distances between two tracks by solving the optimal rigid transformation. Taking advantages of ICCP algorithm and Procrustes analysis, they can complement each other, reduce the scaling error of indication track, and then obtain the best matching position. Simulation results also show that the improved ICCP algorithm can effectively reduce the scaling error of indication track in INS. At the same time, the mean and standard deviation of the position information error are both obviously reduced.

Canny operator had widely usage for edge detection; however it also existed the defect losing details of the edge, so this paper proposed an improved traditional Canny edge detection algorithm. Compared improved algorithm with traditional algorithm for edge detection, simulations shows this algorithm is more effective for image edge detection and the clearer detection result is obtained.

Following the test work is difficult and complex in the modern radar maintenance support, the automatic testing of radar is necessary for the radar maintenance man. Radar comprehensive test device is used for test and repair of a certain type of short range reconnaissance radar off-line. The test device is accordingly seen as good means to radar maintenance support. The hardware design and operational principle of radar comprehensive test device is given. The test solution of power supply circuit board, radar code signal generator board and distance branch board is explained. And finally the test waveform is showed and the practicality of the device is discussed.

The direct acquisition of P-code can be realized through autocorrelation operation in frequency domain by using Fast Fourier Transform (FFT). Concerning conducting correlation operation, the traditional direct zero-padding method usually changes the P code in the original sequence of PN code and presents low acquisition accuracy. Therefore, this research proposed Sac interpolation and conducted a simulation comparison with direct zero-padding method in peak detection. Results indicated that Sac interpolation demonstrated less loss in the amplitude of correlation output and higher accuracy of P code acquisition than zero-padding method.

In this paper, we propose a modified Two-Dimensional Least Mean Square (TDLMS) filter algorithm and make some improvements. More neighborhood information have been taken into consideration so that the background can be predicted more precisely and the target become more prominent in the residual image. Experimental results demonstrate that proposed algorithm could effectively suppress the clutter background and efficiently enhance the infrared target. By comparison, the proposed algorithm has a better performance especially in background suppression.

In recent years, the target detection based on Human Visual System (HVS) has been extensively studied by scholars at home and abroad, especially for the visible target detection. Generally, these algorithms involve three processes, the extraction of visual feature according to the targets' characteristics, the generation of saliency map to segment the targets and the simulation of eye movement to track the targets. Considering the small infrared targets have less information than visible targets, such as color and shape, but they have saliency characteristic of contrast, in this paper, an algorithm of small infrared target detection based on visual contrast mechanism has been proposed. Firstly, according to the targets' local contrast feature, the saliency map of the image is generated. By calculating the saliency map, it can enhance the targets and suppress the background. Then the targets can be detected after the saliency map is segmented. Considering it is difficult to detect the targets when the image's signal-to-noise ratio (SNR) is very low even the targets are submerged in the background, the algorithm simulates eye movement to track the targets. The position of the suspicious target is predicted by the algorithm of Proportional-Integral-Derivative (PID). By enhancing the suspicious target's local region using the Retinex theory and segmenting the local region, the targets can be re-detected. By comparing the proposed algorithm with other methods, the experiments show that the proposed method works well, not only it can be applied to the situation the target is submerged in the background, but it can also be used in different complex background.

Nowadays, the increase of quality and resolution of remote sensing image will lead to the data's capacity extremely increase; a single computer, even a very expensive minicomputer or a PC server, is difficult to meet the disk space, memory space and processing time requirements when faced with this situation. No-SQL database and MapReduce in cloud computing system give us a new resolution to these problems. In this study, we proposed a remote sensing image processing system based on MapReduce, this system defines a storage strategy which utilized No-SQL database's key-value mechanism, and then the system construct Java program classes based on MapReduce architecture to access key-value data. remote sensing image processing algorithms can be easily applied to this system. The experiments show, the proposed system can save remote sensing image into distribute storage environment and algorithms based on this system are faster than single process algorithm.

In order to achieve the visibility good image processing process, design an image processing simulation platform based on MFC. The simulation platform is based on the dialog box class. There are many buttons on the top of dialog including open a single image, special effects, processing, preservation, open the sequence images, play, track, close button, and so on. The buttons can realize the corresponding function. In special effects to show there are four display effect which are horizontal and vertical scanning and mirror. Processing method also has the edge detection, threshold segmentation, gray scale and corrosion four treatment methods. This platform has good visual effect. Can assist the user better analyse the image processing algorithms, and can add more features according to need.

Weak signal detection circuit requires very high sensitivity, if not solve influence of all kinds of interference, will give the circuit and its measurement bring greater error, even by the interference signal submerged in normal measuring signal and the circuit does not work. Therefore in the circuit must be designed carefully study the internal noise and external interference, to take reasonable and effective anti-interference measures, ensure the normal work of the circuit and improve the reliability, stability and accuracy of circuit.

The paper researched a new modal parameter identification method, called ITD method, based on the velocity response signal. It applied random decrement technique to extract velocity free response signal, get ITD method based on velocity response signals. The method identify modal parameters with velocity response signals directly, so it needn't to integrate velocity signals to displacement signals, experiments showed its effective.

The monitoring of tool wear state by the texture of the turning surfaces is studied in this paper. A microscopic image acquisition system was established to capture the images from turning surface and tool flank, then the relation between turning surface texture and tool flank wear state was studied based on Fractional Brown motion model. Specifically, logarithm power spectrum (LPS) of each surface texture image was earned by using the Fourier transform, five sets of data was selected from the LPS on five different directions (namely, X-axis direction, 30° direction, 45°direction, 60° direction and Y-axis direction), fit-slope and fractal dimension of earned data were calculated by linear fitting method. Finally, fractal dimension on X-axis direction, found to be highly correlated with the trend of flank wear, can be regarded as the texture feature parameter of tool wear state monitoring.

Image restoration results of the assessment are mostly subjective evaluation method. However, It is usually too inconvenient, time-consuming and expensive. For lack of subjective evaluation method, we propose a new evaluation method of image restoration results based on similar exemplars. The similar distance samples between damage patch and the best exemplar in every restoration cycle are obtained. The new method use the mean, variance and histogram of similarity distance samples measure image restoration effect. The evaluation method is closely related to the repair algorithm. It is suitable for restoration algorithm based on exemplars. Experimental results show that the mean and variance of similarity distances while the smaller the better repair effect.

Sound sources localization experiments for portable electronic sentinel system are conducted in anechoic chamber and outdoor environment to verify the performance of direction of arrive (DOA) estimation algorithms for uniform circular array (UCA) with baffles. The background noise is less than 15dB in the anechoic chamber and about 52dB in outdoor environment. The array model used in the experiment is a designed UCA with 12 microphones mounted on the equator of a rigid sphere. DOA estimation experiments using different algorithms in eigenbeam space were conducted under different conditions. The localization experiment results indicate that the DOA estimation algorithms for electronic sentinel system are valid, which provides practical foundations for its engineering application in electronic sentinel system.

In this paper, planet pin parallelism error, which is one of manufacturing error of planet carrier, is employed as a main variable to influence planet load sharing factor. This error is categorize two group: (i) pin parallelism error with rotation on the axis perpendicular to the tangent of base circle of gear (x axis rotation in this paper) (ii) pin parallelism error with rotation on the tangent axis of base circle of gear (y axis rotation in this paper). For this study, the planetary gear system in 1.5MW wind turbine is applied and pure torsional rigid body model of this planetary gear is built using Solidworks and MSC.ADAMS. Based on quantified parallelism error and simulation model, dynamics simulation of planetary gear is carried out to obtain dynamic mesh load results with each type of error and load sharing factor is calculated with mesh load results. Load sharing factor formula and the suggestion for planetary reliability design is proposed with the conclusion of this study.

This paper mainly focuses on measuring and analyzing planar directional characteristics of underwater radiated noise originated from vessel targets. A corresponding mathematic model is presented based on vertical and horizontal linear array measurements. Combined with cubic spline interpolation algorithm, a data analysis method is brought up regarding sound pressure spatial distribution and directivity in a single plane. The effectiveness of the mathematic model and data analysis method is further verified based on processing and analyzing sea experiment data. The proposed method is simple, practical and reliable. And the analysis results can provide a basis for noise source analysis, identification and far-field character estimate.

The fuzzy and uncertainty of body pulse signal reflect in that “The principles of the subtle, the ones, in the heart easily, which is difficult to understand”. In order to identify and research the pulse signal of the objectification and quantification, this study applies the method of fuzzy theory to identify the pulse: transform fuzzy inputting variables of describing the feeling factor of pulse into objective and quantitative variables; identify the outputting fuzzy variables by extracted characteristics and the classification of pulse; complete the classification which is interpreted as reliability by pulse definitions and fuzzy reference rules. This study provides fundamental methods for the identification of pulse by artificial neural networks.

Computing the convex hull of any given point set is a fundamental problem in computational geometry. In this paper, a new algorithm is proposed to improve the efficiency of the creation of convex hull. The algorithm employed a rectangular segmentation method to divide the initial convex hull with some rectangular windows, then most of non-convex points could be easily removed out by comparing their coordinate values in order to reduce the computation time of the creation procedure. To validate the efficiency, three computer experiments were conducted and the results showed that the proposed algorithm has better performance than some other present convex hull algorithms such as Quickhull algorithm when dealing with the large scale two dimension scattered point set.

The material system of circulating fluidized bed boiler could be divided into two gas solid two-phase flow that circulates inside and outside. Actually the traditional modeling ways always focus on how to analyze the gas solid two-phase flow from the microscopic point of view. In the paper, the collision and friction between the gas and solid particle is neglected. From a macro point of view, the fluid network model is built by signal flow graph theory, and the algorithm description of nodes and branches have been built. Finally, according to the graph modeling software, the form based on signal flow graph has been built.

The numerical simulation of shield tunneling is a complex calculation process due to the continuous dynamic contact relationship. Setting the interaction between cutterhead and soil is the key for simulation. Because of the contact surface continuously updating with the cutting scrap separation, surface to surface contact algorithm should be used in spite of lots of restrictions are claimed in this algorithm. It is also very time-consuming to define the right contact surface manually. In order to make the contact surface defined simply and efficiently, the contact surface recognition program is designed by user subroutine. The program provides a function to calculate and select the normal of solid element surface which is a good complement of ABAQUS software. The surface recognition method can provide not only an effective means for the intelligent establishment of shield tunneling simulation system but also a reference for the study of automatic surface recognition in complex structure.

On the basis of analyzing advantages and disadvantages of the current automatic transmission shift schedule, the algorithm of automatic transmission shift schedule based on BP neural network is proposed, and the BP neural network model is established. Due to the drawback neural network itself possesses, a BP neural network algorithm optimization based on genetic algorithm is proposed in this paper. Genetic algorithms is used to optimize the initial weights and thresholds of BP neural network, followed by network training and Matlab software simulation, finally prove that the theory of the optimization algorithm used in the automotive automatic transmission gear decision system is correctness and feasibility.

The human system is a complex time varying and nonlinear system, of which pulses are the output. In order to objectively and quantitatively identify and study pulse signals, a method combining artificial neural networks (ANN) and fuzzy theory was applied to classify and recognize pulse signals. Fuzzy neural networks (NN) were adopted to perform weight adjustments according to fuzzy reasoning rules, which improved the reliability and accuracy of the pulse classification results. The fuzzy NN learning algorithm was applied to the fuzzy reasoning process according to the new fuzzy reasoning rules of data extension, realizing the interaction between systems and environment and updating knowledge and optimization models. The algorithm also established the necessary foundation for pulse diagnostic expert systems to adapt and optimize.

Chaos is ergodic, random, and can repeat traversal of all state in a certain range according to the laws of its own. At the same time, taking advantage of the ability of large-scale collective parallel computing of the neural network, we studied the neural network model with chaos characteristics. We applied it in the fuzzy reliability optimization of automotive transmission shaft considering the fuzziness and randomness of the design parameters. An example was given for the optimization calculation.

The forest insect pest prevention methods for forestry project in this paper, combined with the application of computer science and technology, forestry sprayer into intelligent equipment, and through module partition way to realize the intelligent part of the software control the target sprayer, eventually forming a smart forestry pest control system, to control the pesticide dosage, protect the ecological environment and improve working conditions for operators to provide scientific basis and technical support.

In order to solve the low-efficiency and low-intelligence problem of aircraft stringer joggle modeling, a parametric method for describing stringer section feature and joggle feature structures was proposed. Based on the parametric describing, the key programming algorithms such as Thickness Detection, Joggle Block Parameters Calculation and Joggle Zone Parameters Calculation were researched. Eventually, through the application of key algorithms by C++, on the basis of CATIA/CAA development technology, a new intelligent calculation method for standardized rapid modeling of aircraft stringer joggle structures was realized.

Named entity recognition (NER) on complex organizations (ORG), locations (LOC) and person names (PER) is a difficult issue in natural language processing. We propose a novel 6 tags method which combines boundary and Part of Speech (6-tag-boundary-PoS) to improve the recognition rate for NER based on conditional random field. Large-scale open tests on real corpus indicate that the 6-tag-boundary-PoS feature can effectively shorten the training time, and the F1 value, precision (P), recall (R) of ORG and LOC are 98.25%, 97.82%, 98.68% and 91.81%, 89.76%, 93.97%, respectively.

Inspection activities are the foundation of preventive maintenance policy as to provide the operating information of system. Age based replacement is one of the most used preventive maintenance policy aiming at avoiding higher failure loss. A preventive maintenance optimization model with joint inspection and replacement policy is proposed based on a three-stage failure process. The three-stage failure process divides the failure process of system into three stages: namely normal, minor defective and severe defective. When the severe defective stage is identified, maintenance action is carried out immediately. The system is replaced once it reaches certain age. However, when the minor defective stage is identified, the inspection interval is shortened. Finally, a numerical example is presented to demonstrate the efficiency of the proposed model.

The influence of illumination and pose change has been the problem of human ear recognition. A new ear recognition method is proposed based on multilinear kernel principal component analysis (MKPCA), it can effectively extract the nonlinear statistics associated with the different factors inherent to ear image formation, decrease the computational cost due to high dimensionality, preserve the structure and correlation in the original data, and MKPCA projects the input tensor ear to high-dimensional feature space F by nonlinear transformation. In the feature space F, MKPCA is first used to operate directly on the tensor objects to obtain the low-dimensional projection tensors. Then the tensor ear are projected into the tensor subspace for extracting the feature vectors. Finally, the cosine distance between two feature vectors is calculated to match ear. The new algorithm is tested on USTB database. The experimental results show that compared with the conventional algorithms, the recognition rate (RR) of the new algorithm is the highest, that is, 99.15%, and all the time for feature extraction and matching is 2.036s, so it meets the real-time system specification.

A student will graduate through an educational institute after writing a thesis and finishing his/her final presentation. This paper proposes an approach by using data from some core courses and the GPA (Grade Point Average) of students to calculate the possibility for a particular student to pass the normal education before writing a thesis. The approach can help students make better decisions to the problems they face before writing their thesis. This can also help their adviser, who has to respond to many of the problems students may encounter, and help make a more informed decision as well. The approach implements a calculation system, which has been developed based on the conditions related to the availability, to assess which student is required to write a thesis to graduate or to take an examination. This paper adopts decision tree algorithm, C4.5, to process and analyse the data the data using structured decision rules in creating a website model to calculate the availability of writing thesis. This paper collects 1500 students information in department of computer science in National University of Lao. 1200 students have been chosen as the training data set and the other 300 students, as the test data set according to the ratio 80%:20%. After the training process, the proposed approach has been applied to the test data set, and the assessing accuracy can reach 86%.

The usual performance has an obvious effect on the knowledge acquiring for the college students, this is the main reason why almost all of the universities or colleges have paid more stressing on the course attending of the students. This paper focus on clustering students using K-mean cluster algorithm to reveal the influence of the usual performance on the final exam that is the chief method for testing the student's understanding and grasping of the knowledge which is supposed to be familiar with or understood. Our results showed that it is not the excellent students in course attending achieved the best results in the final exam but those with very good or good usual performance, which is very interesting and the reasons caused this phenomenon are discussed.

In order to solve the obvious and common conflict between real-time services and safety of real-time database system, firstly, this paper analyzes 6 kinds of circumstances arising from the conflicts of HP-2PL protocol, and then set priority weight (WP) and safe weight (WS) for the HP-2PL existence insecurity factors to make a compromise between priority inversion and covert channels and realize the real-time performance of the database on the basis of meeting the demand of security.

According to the specific application environments and design demands in the marine environments, a novel comprehensive data acquisition system is developed. Modular design method is taken while hardware designing, so each module can work independently and be used in similar applications. Measurement algorithm and its time complexity are taken into account at one and the same time while software designing, so this system can work in real time. More importantly, performance contrast of different measurement algorithms can be used as the guidelines in other environment parameters acquisition system. Experimental results show that this system works well and completely meets the design demands. Furthermore, this system features high measurement precision, good real-time performance, strong robustness and low cost.

In order to achieve fast modeling of people in the body feeling game, engineers need to reconstruct 3D model of the human body. This paper proposes a real-time 3D human body reconstruction algorithm based on RGB-D data, and gives its implementation in the human body 3D reconstruction. First, this paper set up K neighborhood data structure for point cloud data and simplified the point cloud, then removed the point cloud of the background and the ground and at last reconstructed triangular mesh surface and implemented the real-time people 3D reconstruction.The algorithm can be implemented on the standard CPU at a higher rate of real-time 3D reconstruction of human body. CPU real-time processing speed can reach 25 frames per second, and this method can keep good details information afterthe reconstruction.

To overcome the defect of the traditional method to determine index weight in the online personalized products design evaluation with multiple attribute, an improved index weight based on entropy and Kano model was proposed. Firstly, a model of design evaluation for online personalized product with improved customer satisfaction index weight based on entropy and Kano was suggested. Secondly, the entropy method was introduced for the initial index weight, and for the problem of customers' feedback can't be expressed in the past product conceptual design, the Kano model was applied to adjust the initial index weight-entropy. Finally, the online personalized design of stroller was taken as a case study, and the results show that the proposed method is effective.

How to predict the demand of ordnance equipment scientifically accurately plays a vital role in the equipment management. Aiming at the ordnance equipment demand forecasting accuracy rate is not high question, by using the method of projection pursuit regression, we established the prediction model of military equipment based on the various affecting factors to forecast the demand of future demand on the type of ordnance equipment. The results show that the method has high accuracy and has important significance on the effective management in ordnance equipment.

Phase unwrapping is still a difficult problem in phase measuring profilometry 3D measurement. This paper proposed a new global phase unwrapping method connected with SMT solder paste deposit 3D measurement. PCB area should be plain and its slopes can be estimated by wrapped phases, then PCB quadratic phase surface can be fitted from the plain. Other area phases were unwrapped approaching to the PCB and their difference is linear to relative height. Experimental results also show that the proposed approach is fast, adequate and robust.

This paper analyze the basic conditions which soil engaging surface of bulldozing plate should be satisfied and discuss the differential geometry and soil mechanics characteristics of adjacent structure of elliptic point. The result shows that adjacent structure of elliptic point is not suitable for the design of soil engaging surface of bulldozing plate alone. But it can be used as the convex hull unit of non-smooth soil engaging surface or part component elements of soil engaging surface.

Microstructure and properties of the deposited layer in 45 # steel surface by Plasma surfacing was studied on the effection of three parameters, including deposition rate, deposition current, powder feed rate. Metallurgical analysis showed that the deposited layer organization changed uniform and small with the deposition rate and the deposition current increasing. When the powder feeding rate was 75g / min, organization was small and its cured (CrFe)7C3 was distribution. Deposit was distributed in hardness gradient, and wear resistance increased significantly.

Since the support material should be contacted with the supporting surface of the molding materials, so supporting materials must be able to withstand the high temperatures of the molding material and no decomposition and melting, with a smaller gas evolution. The support material also needs a high compressive strength to be able to support the molten metal product. This paper compares gas forming property of phosphate, sodium silicate and furan resin. The results show that phosphate is the smallest of gas evolution. At the same time, discuss the Impact of citric acid, firming agent and binder addition on compressive strength. Found that the support material made by Phosphate Binder can meet the technical requirements.

In the process of 3D printing, a three-dimensional form is created by additive manufacturing. The data provided by a 3D model are converted into a real object which is printed layer by layer. 3D printing is of particular interest for the production of small parts in small numbers, i.e. individualized items. Especially in the textile and clothing industry, 3D printing accessories, extensions etc. can be used to modify design as well as function of a base object which is created by typical textile production processes, such as weaving, knitting or sewing. Combining 3D printed objects with textile or fibrous materials, however, often results in low adhesion forces between both parts and therefore delamination of layers of different materials. The article thus describes efforts to create bi-material 3D printed objects and to enhance the bonding properties between contacting parts from different materials.

This paper briefly reviews the history and progress of trace metal marine ecotoxicology over the past few decades. Three main areas of metal ecotoxicology are transported in the environment, accumulation and toxicity, as well as the risk assessment. We have seen tremendous progresses in these areas as a result of interdisciplinary efforts by biologists, chemists, engineers, governmental regulators and managers. And then the future perspective of metal ecotoxicology is discussed. It is expected that this field will receive increasing pay attention to.

It is the special structure to make the porous materials have the unique performance and application. As new structural and functional material, porous materials are being paid much more attention in the world and found application in many industrial fields. Classifications, properties, fabrication methods and application are summarized in this paper. Finally, we indicate the developing tendency of porous materials.

In recent years, it is of great theoretical and practical value to make a research on electrochemical biosensors. People are paying more and more attention to the preparation of biosensors based on nanomaterials, and the nano-technology has provided infinite imagination space for the development of electrochemical biosensors. Nanomaterials not only have the excellent physical, chemical and electrocatalytic properties, but also show the quantum size effect and surface effect, which can improve the electrochemical biosensors obviously to a new and high level. Therefore, the electro-chemical biosensors based on nanomaterials show many excellent performances, such as smaller volume, faster speed, higher sensitivity and better stability, etc. According to their structures, the nanomaterials can be divided into three categories, e.g. zero-dimensional, one-dimensional and two-dimensional nanomaterials. In this article, the development and application of electrochemical biosensors based on following nanomaterials, zero-dimensional nanoparticles (such as metal nanoparticles, quantum dots, magnetic nanoparticles, etc.), one-dimensional nanomaterials (nanotubes, nanowires and nanorodes) and two-dimensional nanostructured thin films (like graphene) were reviewed.

This paper studied the evaporation-reduction method of inert gas in situ pressure, the high energy ball mill method, amorphous crystallization method for preparation nanometer metal materials and the evaporation-condensation method, gas phase method and liquid phase method for preparation nanometer ceramic material. In the paper author discussed the process routes such as pressureless sintering, hot-pressing sintering, microwave sintering and gave several examples of nanometer solid material preparation. Puts forward the problems considered in nano particles preparation, analyzes the phenomenon of nano particles reunion, gives the eliminate and control methods of nano particles reunion. Finally author thinks that high quality nano powder is still a hot topic of research in the future, at the same time points out that further development goal of nano materials.

The effective control of electrodeposits thickness and its distribution uniformity on the cathode surface with larger area is often one of the problems to the operators, and thus has been studied intensively by researchers. After the key effective factors which can cause the distribution nonuniformity was analyzed, reasonable solutions were proposed. When some key components, like the mechanism for the cathode moving and the shielding plate driven together with the cathode, were designed, an electroforming apparatus enabling to produce favorable uniform metallic layers was developed. Our applications have shown that the apparatus has been achieved the desired application effect.

Space debris has been increasing rapidly over the past few years due to the growing number of human space activities, which is the gravest threat to the spacecrafts. To protect the spacecraft, fibre composite material is one of the most useful materials against space debris. Currently Nextel and Kevlar fibre materials are used as space station protection materials abroad. But it is still a great challenge to create high strength fibre materials such as Nextel ceramic fibres within our country. Hypervelocity impact resistance of a few fibre materials have been studied domestically, such as basalt, silicon carbide and carbon fibres. Although considerable process has been made in developing high quality fibre materials, the material don't yet fully meet the needs of our space missions. Here it is proposed that a nano spring structure could be used to connect the fibres. Due to the cushion effect of nano springs, the hybrid fibre materials would be reinforced against space debris. The fabrication process of spring-structure carbon nanotube is presented.

Presently, with energy shortage, environmental degradation and exhaustion of traditional metal resources, Magnesium (Mg) and Mg alloys have been used more and more widely and becomes the research hotspot because of their unique properties. This review analyses the properties of Mg and Mg alloys, and the effect of component ration performance, the development status and prospect in related areas.

It was reported that a novel method for Nano TiO2 film prepared by chemical reaction based on membrane (CRM) from titanium tetraisopropoxide and acetic acid. The reaction products were characterized using features of SEM, XRD, etc. The titanium dioxide thin film prepared by this method was a porous membrane, with particle size between 18nm-30nm, and predominantly contained anatase titanium. The TiO2 film was sintered on FTO electrically conductive glass using N79 sensitization. Using magnetron sputtering method to prepare platinum, the electrode was assembled into the dye-sensitized solar cell (DSSC) and battery performance was tested. Under irradiation with artificial sunlight, the battery had short-circuit current of 5.05-13.71mA, open circuit voltage of 0.44-0.55V, photoelectric conversion efficiency of 1.46-4.64%, and fill factor of 64.97-69.37%.

Almost large die surfaces are free-form surfaces, so there are extensive needs of die surface polishing during the transferring process of the large die surfaces, currently polishing work is almost manually implemented. In order to overcome this barrier, in this paper, firstly, analyzed the three polishing patterns of large mold: the traditional linear reciprocating, cross and the float polishing pattern researched in this paper; secondly, in view of the cylindrical convex and concave surface, simulated respectively and analyzed polishing morphology and surface roughness of workpiece formed by the three kinds of polishing pattern, and researched on the impact law on the polished surface roughness about some factors such as the abrasive grain size, the moving speed of polishing head and swinging angle of the polishing disk; finally, carried on the experimental study with the developed floating polishing experimental prototype made by the research team in this paper. The research results show that the simulation results agree with test results and simulation analysis is useful to select suitable process parameters for the floating polishing machine to polish actual workpiece.

A new highly transparent flame retardant membrane was prepared by blending Polyvinyl alcohol (PVA) with polyphosphonate (PPh). The PPh flame retardant was synthesized using 2-methy-2, 5-dioxo-1, 2- oxaphospholan (OP) and glycol. Then 20%wt PPh viscous liquid were taken out to mix with the PVA solution to get a layered structure of PVA/PPh film. FTIR spectra showed that the chemical reaction between OP and glycol has indeed taken place. SEM and LOI tests showed that the addition of PPh can improve the flame retardancy of PVA. Compared with traditional flame retardants, the PPh shows high transparency, and it is a promising material for the applications of temperature resistance membranes.

There are many factors which effect orifice plate oil tube energy loss, but the ratio of orifice plate's diameter and tube's diameter is the most important factor influencing its energy loss. The flow in the vicinity of orifice plate has the characteristics of high-velocity and complex flow pattern; it is unreasonable to deal with orifice plate's energy loss by utilizing formula of flow's sudden-expansion and sudden-shrinking in hydraulics textbook. By semi-theoretical and semi-empirical method, we can get square-edged orifice plate oil tube's energy loss formula if flow's Reynolds number reaches to 105 magnitudes.

For a cleaning frame with an engine, a loading and restraint scheme is proposed and the stress and deformation of the whole frame under low cycle rotation rate is analyzed, based on ANSYS software. The maximum stress and strain during the working process are obtained, and the variation rule for the maximum stress is discovered. According to the analysis result, the design for cleaning frame is optimized.

Based on VOF model, the effect of compressed air pressure and lubricating oil supply on air-oil annular flow formation in the tube was researched by the joint simulation method of taking advantages of Solidworks-Fluent15.0. The formation simulation of air-oil annular flow used in oil-air lubrication was done and the air-oil interface distribution, the volume fraction of oil, the distribution of oil film thickness and the velocity of mediums in the pipeline were researched in this paper. Providing the basis for the theoretical research of air-oil flow characteristics. Compared with the experimental research and verify the rationality of the method, simplify the preprocess and shorten the simulation period, which has a practical value on the rheological properties research of the multiphase flow.

In order to improve the reliability and durability of the pump bearings, an underwater bearing which can be used for pump is presented. Based on the existing basis of the bearing design, features and technologies of actual bearings, a sliding bearing with reliability and durability is designed. To drain pump bearing for the study, an analysis of drain pump bearing underwater and structural features is produced. The concept design is determined. The sliding model is constructed based on the design principle and structure of drainage pump underwater bearing. Design results show the feasibility of the method.

D-knotter is the core part of the quadrate bale type of baller, but the formation of the knot is under the influence of biting force of the biting hook. The compression of the compressed spring of the biting hook and the rope-pulling force were firstly measured in this paper, and trend charts of compressed spring compression and the rope-pulling force with the knotting hook rotation were shown. Then, the best range of the biting force was determined between 727.19 N and 835.89 N by mechanics model analysis of biting force in the biting phase. The best range of the biting force can direct research and development of new type of knotter. The knot-tied rate of 1000 times knotting tests of the D-knotter with bundling wheat straws was 100%, which validate that the calculated range of the biting force can meet application requirements of D-knotter and the mechanics analysis is correct.

In this paper, we study the character of solute transport in in-situ leaching of uranium in some sandstone uranium deposit in Xinjiang and analyze the effect of convection, molecular diffusion, mechanical dispersion, adsorption, chemical reaction and radioactive decay on migration and distribution of solute in sandstone uranium deposit. The process of in-situ leaching of uranium in sandstone uranium deposit and shrinkage model of leaching core is divided into 3 interfaces, basic equation of solute transport of in-situ leaching of uranium in homogeneous isotropic sandstone uranium deposit is derived, based on law of mass conservation, the hydrodynamic dispersion coefficient and retardation coefficient of solute transport are determined by analysis-optimization method, the calculated values of solution concentration are consistent with the ones of fitting curve of experimental test values by analysis-optimization parameters and the efficiency of our mathematical model is verified through field test of in-situ leaching.

The single tactical and technical index of a certain type of 100mm barrel was analyzed based on the projection pursuit method. Projection pursuit model was established by using randomly generated sample at each level. Weight coefficient of the performance evaluation for the gun barrel was determined. Corresponding relationship between the variation region and classification grades of the projection eigenvalue was obtained. The gun barrel performance data of one shooting training was analyzed to obtain the evaluation grade. It provides scientific basis and method support to make the evaluation of gun barrel scientific, accurate and objective.

In order to improve the economy of power grid, optimize the allocation of resources, and improve the power grid investment income, we apply diverse portfolio theory. At present, the main user side given random power supply approaches is consist of regional electricity, cross-regional transmission, and with the aid of energy storage system to charge and discharge. The different current ways have different characteristics. We take the three paths as resources, each path under random power network interconnection benefits as income, synthetically considering various constraints and reasonably setting up random power to participate in the proportion of three paths. We take the system total benefit maximization as the objective function for multivariate combination way to assist the construction of electric power resource utilization model. Then we can obtain the optimal grid power resources.

In order to optimize system power efficiency, we should reduce the average cost of power generation and then both the supply and users can be able to benefit from it. Now we implement the peak-valley time-of-use tariff. In this paper, based on the response of demand side, we apply semi trapezoid membership function to divide the peak, valley and flat periods of power load curve. Considering the problem of distribution of on-grid electricity in peak, flat, valley period, we should make sure that the supply and the users can both benefit from it. Aiming at cutting a peak to fill valley and minimizing the power load in peak period and the difference between peak and valley, we build the optimal utilization model. The calculation results show the feasibility and effectiveness of the optimization model.

In this article, wind power experimental system with LVRT function is studied and analyzed. A 17kW wind power experimental system based on a permanent magnet synchronous generator is set up. Experiments have carried out based on this simulation experiment system. The experimental results show that the system can simulate the wind turbine and LVRT characteristics accurately.

In this paper, a pitch angle controller is designed based on adaptive control theory to guarantee steady generator power output while reducing the mechanical loads at above rated wind speed. A non-affine model of the pitch regulated variable-speed wind turbine is built to formulate complicated aerodynamics. The adaptive pitch angle controller assures wind energy conversion system of uniformly bounded transient response in the presence of rapidly changing wind speed, in addition to stable generator angle speed. Without the loss of system robustness, we can improve the performance bounds of adaptive controller by increasing the adaptation rate. Simulation results on GH Bladed software package show that more steady operating output power is obtained by the adaptive controller compared to the traditional pitch angle controller adopted in industry.

This paper deals with nonlinear model based adaptive power capture control of wind energy conversion systems (WECS) using online approximator (OLA) in low-speed region. Compared with the traditional linear techniques valid only around an operating point, which may result in poor system performance and low reliability since the operating point may change with time due to the stochastic operating conditions, the developed controller in this paper is totally a nonlinear one capable of covering the whole operating range. In addition, with the aid of a two-layer neural network, we waive the requirement of system dynamics and aerodynamic torque. Furthermore, the weights of neural network are updated in an online manner, which means that no off-line training is needed. Finally, the effectiveness and merits of our proposed controller are verified on a 1.5 MW three-blade wind turbine using the FAST (Fatigue, Aerodynamics, Structures, and Turbulence) code developed by the National Renewable Energy Laboratory (NREL).

The subspace-based MUSIC algorithm is applied to harmonics and inter-harmonics analysis in electric power system, but it is vulnerable to noises with unstable performances in different SNR environments. So the improved cross-spectral MUSIC algorithm is proposed in this paper, utilizing the independence of Gaussian noise sequence. The simulation results show that the cross-spectral MUSIC algorithm can efficiently suppress the influence of noises, and has high frequency resolution, high precision and high stability.

To overcome the deviation caused by the effect of subjective factors in power quality evaluation, and make the evaluation more accurate and objective, on the basis of power quality comprehensive evaluation criterion, the projection data are built with projection pursuit method. Two hundred power quality 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 obtain with composite simplex method. Meanwhile the corresponding relationship between region of variation of projection eigenvalue and classification grade is established. The precision of sample evaluation reached 100% and the evaluation of the measured data achieved good effect. Thus, the scientific evaluation of power quality is realized by the projection pursuit model.

For piezoelectric energy harvesting, an interface circuit is very important to achieve maximum harvesting power. Parallel synchronized switch harvesting on inductor (P-SSHI) circuit has been used to enhance the harvesting efficiency, instead of standard full-bridge rectifier circuit. However, the power output of the P-SSHI circuit depends strongly on the voltage of storage capacitors (VSC). To maximize the power output, the VSC has to be controlled to realize voltage matching. In this paper, a self-powered P-SSHI circuit with controllable optimal voltage (COV-PSSHI) is proposed to solve this problem, where a self-powered electronic switch is adopted. In order to validate the improvement of the COV-PSSHI circuit, SPICE-based simulations are done under the same inputs and the results testify that the performance of the COV-PSSHI circuit is much better than that of a P-SSHI circuit.

The high-voltage closed bus of separated phase installation modes of hydraulic power plant are usually horizontal, slanting and vertical installation. Regarding vertical installation, the bending moment is caused by the insulator own weight, the connecting bolt is borne transverse load and overturning moment, which causes the worst force. It becomes the weakest link and belongs to statically indeterminate structure. In this paper, the static strength of the connecting bolt of the high-voltage closed bus of separated phase for vertical installation was calculated. The strength of the insulator parts was calculated and analyzed by the structure finite element. The strength analysis provides the basis for the overall structure and strength calculation of high-voltage closed bus of separated phase.

The construction of generation scheduling optimization model has important theoretical and practical value for rich and development of power system optimization scheduling theory, and for promotion of power system safety and energy conservation. In the background of China's energy shortage, using interruptible load in power generation scheduling optimization can ease the power supply tension, improve the system security, and optimize the operation of power grid, so it lays the foundation for the promotion of the system reform of electric power. This paper constructs generation scheduling optimization model considering interruptible load and uses GAMS software to solve the proposed optimization model under the participation of interruptible load. The result shows that interruptible load can effectively reduce the load curve in the peak period, which provides spare larger space for the random grid.

Computer vision measurement technique provides a good way for measuring and inspecting large workpiece with the advantages of non-contact measurement, good flexibility and high accuracy. In this paper, a simple, low cost system for 3D shape reconstruction using linear structured light was presented. It requires very little equipment and is very simple and intuitive to use and calibrate. A 2D planar checkerboard was used to minimize calibration complexity and cost, then the 3D coordinates of the points on object surface can be computed from its 2D image with modulated stripe. Finally, the calibration results and a good 3D shape reconstruction are presented based on the proposed system.

In the grating displacement measurement system, there are many factors which affect the accuracy of measurement. Based on a high speed and high precision displacement measurement method with absolute and incremental double grating scales, which is designed by Easson, and OFC (on field compensation) error compensation technology is offered. In addition, the experiment is done to test the effectiveness of this technology, and the result shows that it can improve effectively the accuracy of measurement and compensate the comprehensive error.

Nowadays with the Telecom new services, a kind of abnormal feature hides in feedback comment. The feature has small probability and abnormal attributes, and hard to understand and unobvious by ordinary way. We define this abnormal feature as AF. This paper does some research for AF, and it helps to forecast and alert the service problems. We construct the mathematical model for AF, design the extracting algorithm, and try to verify its efficiency with feedback comment. The experimental results map out the correct possibilities for our algorithm.

Accompany the continuous growth of the telecom service and customer demands, top-quality and efficient service increases in importance. One of its challenging issues is to deal with the anomalous event. While the traditional mining algorithms are focus on the high-frequent item sets, a filter algorithm related to the anomalous event still remains unsettled. This paper proposed a filter model based on the filter interval. In this model, FP-tree and multi-association rules are introduced to fix the up-threshold of the filter interval. In addition, the certain rules are defined to fix the down-threshold. Then the thresholds are adjusted by the feedback of the algorithm's output, that means expanding or narrowing the filter interval until the optimum state.

In order to conduct the lightweight design of the twist beam of passenger car rear suspension, the loads applied on the twist beam under typical four load cases were determined based on dynamic simulation. The topological optimization model of the twist beam was built up and then used to acquire the optimal topology structure according to variable density method. Furthermore, mesh morphing software Meshworks/Morpher was employed to build parametric model of the twist beam, which was used to define six design variables for fully parameterizing the cross section. Then the multi-island genetic algorithm (MIGA) was adopted to perform the multi-objective optimization for the lightweight design of the twist beam, where the mass and maximum deformation were defined as the objective functions while the strength, torsional stiffness and main mode frequencies were taken as constraints. The optimization results indicate that the mass of the lightweight twist beam is significantly reduced from 8.0kg to 6.25kg, with weight reduction of 21.9%, whilst its low-order natural vibration characteristics, strength, maximum deformation and torsional stiffness have basically unchanged. This also demonstrated that the proposed design method in this paper is effective and feasible.

In the gearbox fault diagnosis, the signal collected by sensors is generally suffered by the disturbance from various types of unknown noise. Under the complex noise environment, the blind source separation of the gearbox fault cannot obtain perfect result of separation. In order to solve this problem, a new noisy blind source separation method of gearbox fault based on particle filter is proposed. A denoising processing to the observation signal is implemented using Rao-blackwellised particle filter before the independent component analysis. The simulation and experimental results show that the proposed method is effective.

We built a synthetic model to evaluate the sustainability and provide a measure to judge the degree of a country. In order to make the result more accurate, we used the model that combined Principal Component Analysis (PCA), Analytic Hierarchy Process (AHP), and Back Propagation (BP) to increase accuracy named PCA-AHP-BP Model. We defined a Sustainability Index (SI) with the help of BP to quantize the sustainability and contribute to understanding the concept of it. We set up SI on the basis of human health development, food and security projects, environment and water, energy source, people livelihoods and vulnerability. The SI of sustainable country is above 0.52 approximately, and the SI of unsustainable country is below 0.43 approximately. In addition, the lower SI it has, the more support and intervention it needs. We can get the conclusion that our combined model is fundamentally stable. And we are convinced that it is a practical and feasible measure.

Condition-based maintenance (CBM) adopts testing technology, signal analysis and computer technology, equipment condition monitoring technology and fault diagnosis technology, etc. and performs data acquisition, signal processing, condition monitoring, condition assessment, life prediction, and decision support and supports human-computer interaction. The condition monitoring and fault diagnosis are the research emphasizes of a CBM theory. CBM condition monitoring fault diagnosis model of aeronautic equipment established via thought based on multi-sensor information fusion can solve Gordian technique problems of the CBM theory to add new content to the fault diagnosis technology of the aeronautic equipment.

A new solution to the reliability evaluation of mine ventilation equipment and facility was proposed using the combined method of evidence theory and neutral network. The outputs of multiple BP neural networks were firstly used as the basic probability distribution function of evidence theory. Then data fusion was conducted and the security degree of ventilation system was obtained according to the rules of evidence combination. The example showed that the result of this method was reasonable, objective and also very effective to the reliability evaluation of mine ventilation equipment and facility. The output of single BP neutral network was unstable. Therefore, the effect of the number of BP network on the instability of network was also analyzed by comparing the uncertainty after data fusion in different number of selected BP networks.

The engineering background is based on the 11209 air return way, 3-1 coal seam of Lijiahao coal mine. The study employs taking core on field, laboratory test and other methods to analyze the properties of coffer mechanics, and get the roof lithology and physical and mechanical parameters. At the extracting stage, by making observation deeply at multiple basic points at mining gateway, taking mine pressure monitoring means for the bolt (cable) working resistance, collecting and analyzing the on filed data, this study gets the following conclusions: the roadway surrounding deformation is not great and at a stable state basically, and the anchoring force changes little as well. The main effect of the roadway surrounding is to prevent the shallow part of surrounding rock from roof fall in a small range. Basing on the information of coal mine geological drilling, this study employs roof stability sorting technology to forecast the region with high roof fall risk for each coal seam, bring a stability category zoning map of roof strata, provide bolt cable basic support parameter designing projects according to different kinds of roofs and as a result, it guides the roadway support design effectively.

In this paper, an algorithm based on monocular vision is applied into length measurement on plane and the process of extracting corner using OpenCV are introduced in detail. This algorithm is realized using OpenCV 2.4.9 and Visual Studio 2013. Firstly, extract all the target corners on chessboard using OpenCV functions. Then calculate the model parameters consisting of extrinsic and intrinsic parameters of camera with the use of the least square method and the corners extracted. Coordinates of all the points on chessboard can be obtained by its image coordinates and the model parameters correspondently. Thereby, positions of target points and length can be measured. In our experiment, the relative error of the positioning is less than 2%. The result proves the feasibility of the algorithm.

The vignetting of optical system cause the near-infrared CCD thermal image become distortion, which bring the error to temperature measurement. A mathematical model for near-infrared CCD optical system was built based on the geometrical analysis of vignetting distortion. An algorithms for Gaussian quadrics fitting based on conjugate gradient method was proposed. Compared with other algorithms, it improves the speed of algorithms. The effect of the algorithm can be validated in the experiment of continuous casting billet surface temperature measurement.

Neuroimaging studies have suggested the resting-state functional connectivity facilitated the understanding of human cognition and behavior. However, the function of the post-task resting-state functional connectivity is still known little. This study was using a ‘rest-task-rest’ design, to investigate functional connectivity alterations in the default mode network (DMN) in health subjects. As compared to the pre-task resting-state fMRI session, the post-task session DMN show an increased functional connectivity for regions between the PCC and right MFG and MOrbiFC at a connectivity map level. We believe that these finding may be helpful for facilitating further understanding of the potential mechanism underlying pain.

At present, layout problem is still a NP hard problem, which does not have a recognized method. This paper discusses a compact layout problem with multi-object. In order to solve the problem efficiently, we present a CPR (convex hull plus rubber band) compact layout method using annulus-centre heuristic algorithm. In the proposed algorithm, firstly, we divided the layout procedure into three stages- only outers, outer-inner and more objects involved. In addition, rules of multi-object response are built to guide the movement of objects. Finally, we also express the procedure of compact layout as predicate logic that provides detail design of programming. The simulation on a example indicates the proposed algorithm is effective and feasible.

In the current vessels is commonly used way of heaving line throwing outype, port type, rotary, centrifugal several, but every way heaving line is based on the power, speed is the core of speed strength of throwing project. The crew in the process of throwing by their own power to heaving line heads certain initial velocity. In this paper, through literature, survey, according to the theory of sports biomechanics, mechanics, sports anatomy for theory basis, combining the theory of track and field technique and related process of heaving line throwing discus throwing power points the swimmer is studied. Purpose is heaving line throwing theory; provide certain scientific basis for improving throwing distance.

The inhomogeneous light lattice structure administers to decrease product weight, to enhance structure adaptability, and to enrich the functionality. In order to improve the efficiency of structure modeling, a hybrid method is proposed by combining feature tree creation with user-defined feature (UDF) under CAD. This process is done during the design phase instead of the manufacturing phase. Firstly, a parameter model of lattice cell unit should be established by analyzing the key parameters which affect unit's size and shape, whereafter a UDF model is correspondingly generated. Then set UDF models with different parameters based on reference datum which are computed and inserted according to the component's structure. Comparing with homogeneous lattice structure created by Magics, the result shows that the modeling process can be completed during the design stage and inhomogeneous lattice structure leads to improve the efficiency of structural light-weighting.

SpaceClaim is a direct three-dimensional solid modeling software, not only with other 3D software for data exchange, also has a highly intelligent model changes and cleaning functions, such as beam model can be extracted from the solid model inside. For this reason, SpaceClaim for CAE analysis, rapid prototyping and 3D printing provides the best pre-processing tools.

For orifice plate discharge tunnel, flow pulsation is closely related with cavitation and discharge tunnel's safety. In the present paper, the characteristics of orifice plate flow pulsation and its effects on cavitation are researched. The research results show that orifice plate flow turbulence belongs to low frequency and large pulsation. Orifice plate flow pulsation pressure is related with orifice plate's contraction ratio and it increases orifice plate's cavitation damage risk. When taking into account orifice plate cavitation, flow pulsation pressure must be paid attention to.

The Lorentz force in the magnetic field is an item of electric field force of moving charge. With the research of the Lorentz transformation about position vector of moving electric charge, study the transformation form of a coulomb force, cross-examine the foundation about how to explain the electric field origin of magnetic field, we find that the essence of the magnetic field is the additional electric field effect of moving electric charge, pass to the hypostatic study of magnetic force, so clarify the mutually connection of electricity and magnetism, also verified the theory of relativity about Lorentz transformation.

A soft-switching micro-inverter based on interleaved flyback topology is presented in this paper. The proposed inverter can use active circuit to achieve zero-voltage-switching (ZVS) and reduce voltage stress and conduction losses. The operation principle and analysis of the converter are explained in detail. The new topology has the advantages of high efficiency and simple control. These advantages make the new inverter promising for low power photovoltaic (PV) applications. The results of experiment are provided to verify the analysis.

The dynamic characteristic is the key factor that affects the stability of motorized spindle at high-speed. According to the effects of bearing lubrication condition on motorized spindle rotor-bearing system dynamic characteristics, considering contact stiffness and elasto-hydrodynamic oil-film stiffness between balls and ring raceways, based on finite element method, this paper established analysis model of motorized spindle rotor-bearing system dynamic performance. The experiment result indicates that comparing with the models without considering oil-film stiffness, bearing comprehensive supporting stiffness decreases, which makes the critical speed of rotor-bearing system decrease, and it shows that the adjustment of bearing axial pre-load has the function of changing critical speed and dynamic response.

Aimed at the disadvantages that exist in the development process of electric tractors, such as the shortage of study results about the vehicle and its dynamic simulation, the lack of stable and perfect simulation platform and so on, the simulation models of electric tractor's drive system were established based on CRUISE. The electric drive system which was designed based on the XT120 tractor was analyzed through the simulation models. Simulation results showed that the simulation models which were established based on CRUISE could run normally. The simulation and analysis for tractive performance of electric tractor drive system could accurately reflect the characteristic of electric tractor. The electric tractor could keep constant torque during low speed and keep constant power in high speed. The simulation for the SOC value of electric tractor was simple and feasible. The simulation system could provide validation methods for selection and matching of electric tractor energy system components during the development process.

According to the working principle of pilot electro-hydraulic proportional pressure-reducing valve, and the corresponding components in AMESim's standard library, the simulation model of pilot electro-hydraulic proportional pressure-reducing valve is established. Based on the related data, the basic parameters is set. The response characteristics and stability of the system is analysed. And the influence factors of response characteristics is studied. Analysis shows that: The quality of the main valve is smaller, smaller overshoot, shorter transition time and peak time; the orifice diameter is smaller, the smaller overshoot, shorter peak time, but the longer transition time, and the final output pressure is changed.

Traditional electronic load has some deficiencies such as low accuracy, low dynamic range, and low intelligence, etc. In order to overcome these issues, this paper is introducing a high-power and high-precision electronic load system, proposing a solution for further combining the high-power and the high-precision, developing a user-computer interface based on a virtual instrument technology, and an embedded programming for the testing system. The electronic load system is designed based on LabView, single chip microcomputer and MOSFET that ensure high testing accuracy, large dynamic range and secondary development function.

In recent years, as the increasing of ship traffic and cross-river building, ship traffic accidents happen now and then. This text analyses factor that impact on navigation safety and at the same time puts forward relative methods to better navigation safety level.

Canal can promote economic development, but if the canal fairway layout is unreasonable, it would hinder ship's safety navigation in the canal area. There is little reference for fairway width design about canal channel in navigation standards of China. The fairway conditions for ship safety navigation in canal were discussed in this paper, and the mentioned determination methods for fairway dimension in canal in this paper can provide some reference to solve other channel design problem.

In the present paper, the hydraulic characteristics of anchor ship domain are researched and the empirical equation of anchor ship safety domain is also obtained. The research results show that relationship between anchor ship safety domain and ship's width is linear, the relationship between anchor ship safety domain and current's speed is conic.

The distance between navigation ships is closely related with ship's safety. In this paper, the reasonable distance between navigation ships is researched, and the equation of distance between navigation ships is also put forward. The using method of this equation is also illuminated by example.

On the foundation of a detailed analysis of the maritime SAR (search and rescue) process at the sea area of Zhoushan, factors which affect maritime SAR ability are summarized. And based on fuzzy mathematics, fuzzy comprehensive evaluation of maritime SAR capabilities of the Zhoushan sea area is quantitatively carried out. The result is 0.6589, rating well. It is of great significance to the improvement of the SAR capabilities, that to provide a quantitative basis for the improvement of the SAR program.

According to the ship's manipulation, the paper discusses the relationship between fairway's curved radius and ship's navigation safety by analyzing the flotation of the water in curved fairway, besides, it puts forward some measures for safe navigation in curved fairway.

There is an intimate relationship between the technology of the unpowered boats and accidents. The main consideration of factors relating to the unpowered boats navigation reliability in our country is the influence of natural factors, and the unpowered boats drift trajectory prediction and visualization interface into account, which is not conducive to the unpowered boats navigation reliability. Therefore, it is necessary to think over the move track to discuss the method about the unpowered boats navigation reliability. In the paper, the research emphasis are the law between the moving direction, the moving speed and the moving track after the unpowered out of control and the relevant control force and moment, and on the basic build the movement equation after boats out of control. The study results show: the moving track is the key of the unpowered boats navigation reliability. The technology of the unpowered boats should adequately consider some natural factors such as typhoon and visibility badness and so on, and boats operability. The technology of the unpowered boats should comprehensive consider the effect of the moving track and natural factors. By the analysis, this paper put forward the control standard on the unpowered boat's operability. Through the study of the technology of unpowered boats navigation reliability, we can offer more perfect guide on theory and technology. In this way, boats can avoid risks and reduce financial loss and casualties in the work.

Drifting fish ship which is out of control may cause accidents, so it is necessary to study drifting fishing vessels movement trajectory. By analysis the motion characteristics of drifting fishing vessels, its movement equation is established, and computer prediction method of drifting fishing vessels movement trajectory is putting forward. The results of the study show that, in a certain fielder fishing vessels out of control, that movement trajectory is mainly affected by stroke, velocity and current.

The minimum distance between navigation ship and bridge is involved with ship navigation safety, so it is important to research this distance. In present paper, the minimum distance between navigation ship and bridge and its effect factors are researched. The results of research shows that this distance increases logarithmically with flow velocity in channel when pier's diameter is fixed and this distance increases linearly with pier's diameter when flow velocity in channel does not vary. And Empirical formula relating to round-pier the minimum distance between navigation ship and bridge is obtained.

Accidents make great loss for navigation career over the past several centuries. Ensuring navigation safety is a important task for the industry, by using the method of grey theory. Combine data from a lot of accidents and analysis them with scientific method, we might find ways to achieve the goal.

To solve the problem of production scheduling and multiple production objectives for different products in hybrid flow shop in practical production, this paper introduces an improved simulated annealing algorithm and builds the mathematical model with the objectives of shortest time of makespan and balance of equipment usage. An intelligible encode method based on matrix is given out, and the decode course is explained in details by researching on the model and algorithm process. In order to preserve the non-dominated solutions which are obtained during the iterative process, an archive is used for checking out the archive to ensure the Pareto solutions available, and then the best solution will be selected from Pareto solutions by TOPSIS (Technique for Order Preference by Similarity to an Ideal Solution). Finally, the efficiency of the algorithm is demonstrated and the best scheduling is chosen by an example from the practical production simulation.

In order to explore the field of AI theorems automatic proving technology's application in the field of database query optimization, we can solve the unknown result with predicate logic, which can be used to answer to questions of principle. Through finding integral constraints about the search and modifying the given search into a more effective equivalence query, we designed a model called Search Agent, so that we can acquire more effective searching executive strategy and accomplish query technology--optimization of semantic query, which is different from the traditional way based on query tree.

The course “Practical Writing of Economics major” is a basic course of Economic and Finance major. The teaching of this course contains a large number of theoretical knowledge, involves broad areas and more professional terms. So, it is really hard to learn and also difficult to teach. According to the characteristics of the course, base on the modern network information technology to build the network teaching platform is an important innovation of teaching means. Based on the network teaching platform, the theoretical knowledge and the writing training can be integrated together, in this way, we can improve the efficiency of students learning, realize the innovation in teaching pattern reform.

The problem of the teaching effectiveness evaluation via the analytic hierarchy process (AHP) method is investigated. First, the hierarchy structure of the teaching effectiveness evaluation with the target hierarchy, the rule hierarchy and the scheme hierarchy is presented. Then, the detail steps of the AHP algorithm is given to evaluate the above teaching effectiveness evaluation. Finally, an example of a teaching effectiveness evaluation is considered by using the AHP algorithm, and the relative importance among the components in the scheme hierarchy of the teaching effectiveness evaluation is proposed.

In Jiangsu coastal development planning area, the construction of sci-tech information service system facing sci-tech SMEs has been lagging behind. This paper analyzes the research situation of sci-tech innovation information service at home and abroad. Taking Jiangsu coastal development planning area as an example, from the construction ideas, methods, steps, contents and other aspects, we elaborate the construction of the overall “University-Government-Agency” sci-tech innovation information service system, and give a complete system framework. This system makes full use of sci-tech, customers and marketing resources of enterprises in various localities. Combined with various talents, information and policy resources of universities and government, it can lay a good foundation for the long-term, healthy development of sci-tech SMEs.

Modern farmers distance education in rural areas is important for enhancing the level of information and building farmers lifelong education system. A new personalized recommendation algorithm is proposed based on the analysis of traditional personalization algorithms and the actual needs of farmers, which is based on collaborative filtering algorithm. An improved item-based recommendation algorithm is to predict the users' score. The experimental results for verification algorithm show that the algorithm has better accuracy. The algorithm is applied to the farmers distance education personalized recommendation system, and has a better application effect.

The following section is included:

• Author Index