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Under the joint action of dynamic and static loads, the connecting bolts of the top cover of the pump turbine are prone to cumulative damage in local areas such as threads, resulting in cracks or development, and fatigue fracture may occur in severe cases, which will cause serious safety accidents. Therefore, it is necessary to carry out accurate fatigue life estimation analysis for connecting bolts, which has always been a hot spot and difficulty in the industry. This paper introduces several commonly used fatigue life analysis methods of parts, combined with the force characteristics and structural characteristics of the connecting bolts of the top cover, and analyzes and discusses the fatigue life analysis methods suitable for the top cover bolts. Finally, it is believed that the application of stress-strain field strength method can better describe the actual state of the bolt danger area, and the current damage state has an influence on the amount of damage generated by further loading, and the fatigue life analysis of connecting bolts can be combined with the stress-strain field strength method and variable damage linear cumulative damage theory, and the fatigue life and residual fatigue life can be estimated in the design stage or after the phased service of the bolt.

By using.NET and SQL Server database management technology, anf this paper adopts B/S frame structure, innovatively designs the archives of Colleges and universities with database management system by C#.NET development technology. The association archives information data mining and improves the efficiency of archives management and inquiry statistics. The system uses MD5 encryption to encrypt user login system. The file can be printed information visualization, and the system can decently uses the internal operation of efficient. A detailed understanding of the different student user operation is convenient for the latter system, which can be used to update maintenance, accurate positioning system fault, which has high reliability, high security, scalability, easy expansibility and reusability.

We employed a gold coated glass cover plate to fabricate dual compact free running fiber laser combs based LIDAR (light detection and ranging) system with tunable difference of repetition rates. Our study shows that the ranging precision is 0.4 μm and the non-ambiguity range is 2.1 m with averaging time of 0.4 s for the distance of 1.09 m by the time-of-flight method. The system with 1 kHz-high update rate and the large non-ambiguity range is potentially useful for manufacturing or machining application applied in absolute distance measurement.

Enabling FIRA medium-sized soccer robots to recognize target objects according to color information requires that competing teams manually set the range of colors according to ambient lighting conditions prior to games. This color information is used to differentiate features of target objects, such as the ball, the goals, and the field. Constructing a color-feature model such as this is extremely time-consuming and the resulting model is unable to adapt dynamically to changes in lighting conditions. This study applied a look-up table method to execute RGB-HSV color space conversion to accelerate video processing. A particle swarm optimization (PSO) scheme was developed to detect the color-feature parameters of the target objects in the HSV color space. This enables the automatic completion of color-feature modeling and the construction of the knowledge model required by the robot for object recognition. Experiment results demonstrate that the proposed method is capable of enhancing the robustness of the robot vision system in determining changes in lighting conditions. In addition, the manpower and time required to set robot parameters prior to games were reduced significantly.

This paper develops an Adaptive fuzzy sliding-mode control system algorithm for active heat dissipation system. In the proposed intelligent controller, The adaptive laws adjust the parameters of the fuzzy logic system on-line based on a Lyapunov function, so that the stability of the system can be guaranteed. Additionally, an error estimation mechanism is investigated to estimate the bound of the approximation error. Based on NI-PXI system, this research combined the (TEC) with a duct heater. It designed a smart control system featured by the new active heat dissipation system. It has been proved that this research proposes the ideas of the active heat dissipation adaptive fuzzy sliding-mode control system which may reach a good condition provided with correct temperature control function. To be more precisely, that can be easily adaptive to any environment. It is equipped with a good capability of tracking and searching.

In the railway operation, it's significant to obtain the distances between trains. A method based on RSSI for ranging and correction is proposed in this paper. The devices include a number of base stations installed along railways. The front train would send an active signal to the nearby base station N, when it transmits power signal to the following one. The following train also gives an active signal to its nearest base station 1 which would be enabled to gain signal from station N. The error of per meter of every section would be calculated by the known distance between base stations. The distances between trains could be corrected by the error and the loss of RSSI signal. The experiment result shows that this method is effective.

La-doped ZnO nanofibers were fabricated via electrospinning and calcination at 800°C. The surface morphology and crystal structure of the La-doped ZnO nanofibers were characterized by scanning electron microscopy (SEM) and X-ray diffraction (XRD). The photoelectric properties of La-doped ZnO nanofibers were also investigated. It was found that the photoelectric current increased obviously under light illumination (308 nm and 365 nm). However, the photocurrent reduced with increasing La-doping level, which may be ascribed to the increased defects inducing by La-doping.

This paper divides the platform performance into three different aspects: general characteristics, hull property and concealment performance, from which we fully study the various factor index involved, use the AHP to build an integrated-assessed mathematic model of hierarchy of good distinct and structure of high efficiency and calculate the weight assessment indicator of each hierarchy. This paper uses AHP to build the general objective function of the designing scheme of platform property. By the statistical analysis of the tip of various property indexes of mass hull property data, we choose the corresponding subordinating degree functions in the fuzzy mathematic field to determine the appropriate subjection function, calculate the relevant degree of membership, and finally conduct the integrated assessment of mathematic model of the design of AUV platform performance system. We use C# language in the developing environment of VS2010 to develop the fuzzy-comprehensive-assessment software system of the designing scheme of AUV platform, and, we also use the software to analysis the systematic reliability of this scheme by living example. Through this work, we could offer a scientific and rational theory of technology for the support of underwater unmanned vehicle research department.

A bearingless brushless DC motor is a new type of high performance motor, which integrates the function of magnetic bearings into a brushless DC motor. In this paper, the suspension force control system is improved and optimization designed according to the radial suspension force mathematical model. The bearingless brushless DC motor control system model is established with the aid of Matlab/Simulink software. From the simulation results, it is confirmed that the rotor shaft is stably suspended without the mechanical contacts. The proposed suspension control system is found suitable to realize the stable suspension of the rotor in the bearingless brushless DC motor.

A novel 3-DOF parallel mechanism is presented and the inverse kinematics is derived by using geometric constraint between each rods. The co-simulation based on ADAMS is proceeded to verify the correctness of the inverse kinematics. This algorithm is the basis for the application of such parallel mechanism.

Age estimation is an important method to solve the face recognition with age change, due to the feature extraction,in the process of age estimation study, PCA dimensional reduction method is usually used to reduce dimension with excessive dimension.PCA refers that transform the sample matrix into one-dimensional vector first, then the one-dimensional vectors form a matrix, solve the eigenvector. 2D-PCA applied in this paper is not required to transform the sample matrix into one-dimensional vector, but construct scatter matrix with data matrix directly, accordingly, the computing time is reduced and a good performance evaluation is achieved in the test.

In recent years, construction enterprises’ poor economic performance and the drain of senior technical personnel have been two cause-and-effect problems, which seriously restrict the enterprises’ long-term development, and the existing researches contribute little to solve the problems for managers. Considering the uncertainties of talents resource demand resulting from the difference of Multi-project schedule, a cyclic queuing theory of fixed number of customers was introduced from the enterprise management level. Then the risk loss curve and waiting loss curve could be simulated according to historical data and management experience. Finally, a best method to allocate the shortage of technical talents came out. The model was built throughout the management processes, so it owned not only high theoretical basis but also high operability, and has a better reference on solving the two construction enterprises problems.

A new approach for roundness (circularity) error evaluation based on the differential evolution (DE) algorithm is proposed.The mathematical model of the roundness error under the condition of the minimum zone is derived. The background and advantages of DE are introduced, the fundamentals and implementation techniques are also given.The approach is verified by two examples.Compared with other methods, the results show that the proposed method makes the roundness error evaluation more accurate.

Wavelet analysis technique is proposed in the filter processing to remove the noise from random drift signal of fiber optic gyroscope (FOG). Based on the component elements of random drift signal of FOG, mathematical model of random drift signal of FOG is built. According to the shortcomings of hard threshold and soft threshold, threshold function of forced denoising is used in signal filtering. It is shown from simulation and statistic analysis that the wavelet analysis technique is an effective method to eliminate noise from random drift signal of FOG, and that selection of wavelet base and decomposition scale also has an impact on filtering effect of wavelet analysis.

In the cloud computing environment, resources of services encapsulation extend from initial computing resources to all other encapsulated social resources, such as manufacturing resources, financial resources, etc. Increasingly, services are reflecting the agent characteristics. This paper proposes that the cloud computing environment is a complex adaptive system of which the service is the service agent. With the emergence of its core, the model of interactions between service agents has been established by synthesizing theories and technologies of various disciplines like System Science, Economics, Management and Computer Science. By using the CAS theory as the technical route of cloud computing environment and its service agents, we can draw the conclusion that virtual organizations will spring up because of the combination of service agents.

Theatre intercom system based on SIP has solved the defects of traditional theater scheduling, but it doesn't guarantee the quality of service (QoS). This paper introduced the key technology for SIP-based theatre intercom system, including the fundamentals of VOIP and signaling technology. We analysed the main factors influencing QoS, summarized correlative techniques improving QoS for theatre intercom system, including QoS relevant protocols and QoS guarantee technology on terminals. These technologies can be synthetically used, so as to improve the reliability of theatre intercom system.

When confirming the partial factors in design formulas by the probability-based limit states design method (PLSDM), the structural coefficient can determined by two methods. On one hand, the structural coefficient is determined by the engineering experience calibration method, which is calculated by decomposition of the safety coefficient in the former specifications SD144-85. On the other hand, it can be determined by the probability analysis method and optimization calculation based on the target reliability index resulted from reliability calibration analysis. The appropriate value is finally determined by synthesizing results of the two methods.

The new formulas for similarity measures between Vague sets will be used as pattern recognition method based on similarity measures in water quality evaluation. The application example shows that this method is not only convenient in calculation, but also practical in results.

Cylinder blocks are the most important parts of engine, and their qualities will fundamentally determine the efficiency of engine. In this work, the casting process of K19 engine cylinder block was studied. A casting process was designed and assessed by the numerical software MAGMA to produce cylinder block castings. An actual experiment of casting was carried out and the mechanical properties of the casting were examined. The simulation results show the liquid metal smoothly fills the casting mold and no shrinkage cavity and porosity are formed in the castings. The cylinder block produced by the actual experiment exhibits superior mechanical properties to common ones, which proves the casting process designed is suitable for producing high quality cylinder block castings. The research shows that numerical simulation can provide very useful guidance for the production of castings

According to the experimental analysis, this work found out the defect of the formula for similarity measure between current Vague values, and redefined the similarity measure between Vague values. Therefore, a new formula subject to the new definition was put forward according to data mining and uncertainty of Vague value.

In this paper, we combine the complex network theory and the traditional software structure metrology to propose a new model for the study of the structural characteristics of the software---- Multi-dimensional measurement model of the software structure properties. The multi-dimensional measurement model of the software structure properties is divided into three parts. Each part has their own properties. In this model, the system is abstracted into a network model in the first step. Then we design the metric parameters considering both the complex network theory and the Object-Oriented software research and also give the definition and calculation method of these metric parameters. And on this basis we use the advantages of eclipse and complex network simulation tool pajek to calculate the metrics parameters designed before. Then give explanation to the experimental results which can demonstrate the reliability of the new model, which has also made a solid foundation for the following study of the software structure properties.

Focused on static high-definition sequence images captured on the highway bayonet, this paper proposes a new approach for vehicle detection and shadow elimination based on average background modeling, which uses average background model and background subtraction to locate vehicle roughly, eliminates shadow of the vehicle using canny edge detection with dynamic histogram threshold determined by the histogram of the image. Experiments show that this method can locate the position of vehicle quickly and accurately.

The soil water characteristic curve (SWCC) has been tested during the drying process. In order to define the relationship between suction, degree of saturation and void ratio, fitting models of SWCC was established. Studies have shown that the shape of SWCC of three kinds of samples (taken from Jiaohe, Gaochang and Jiuzhoutai) was similar to the inverted “S”, the relationship between water content and matric suction was inversely proportional. Under the condition of the same moisture, the matric suction of the Jiaohe and Gaochang samples were greater than the Jiuzhoutai samples, and the changes of pore water pressures showed the same trend. The degree of saturation began to decrease when the water content reduced to the air entry value. When the degree of saturation was greater than 90%, the volume of soil samples contracted significantly, and when saturation is below 80%, volume shrinkage stopped.

The anodic aluminum oxide (AAO) films were prepared by anodization method from the 15 vol. % sulphuric acid solution, and prepared AAO films were heat-treated in the ranges of 25~1000°C. AAO films were characterized by EDAX, SEM and XRD techniques, respectively. The crystal phases of prepared AAO film is amorphous. The apertures of AAO film are in 25~30 nm. AAO films are amorphous when heat treatment temperatures of AAO films are below 800 °C. After the AAO film being heat-treated in the ranges of 850°C~900 °C, the heat-treated AAO film are γ-Al2O3film. When the AAO film is heat-treated at 950 °C, the part of γ-Al2O3change into α-Al2O3, and the heat-treated AAO film are mixed film of γ-Al2O3and α-Al2O3. After the AAO film being heat-treated at 1000 °C, the heat-treated AAO film is α-Al2O3film.

By means of ANSYS-CFX, the 3D numerical simulations of flow field for the three hydraulic models are performed. Through comparing the three types of pumps with three different rectangle channel impellers which have different spread angle, blade, the authors draw conclusions: the distribution of the pressure and velocity in the rectangle flow channels with 6° spread angle is well-proportioned, the head and the efficiency of the whole pump can meet the requirement: But the other two types of impeller channels, the distribution of velocity is unstable, there are backflow and big whirlpool. Therefore, the rectangle channel impeller with 6°spread angle is a better type for the Roto-Jet pump.

EMI and the Lamb Wave technology are two kinds of mainstream active detection method in health monitoring , which have a long-term development. Health monitoring based on the combination of the EMI technology and Lamb wave, can be either a single method to conduct monitoring and analysis of specific structure ,or two methods together to conduct more comprehensive damage monitoring.

The LIFT technology has applied in process of denoising to ensure the imaging precision of minor faults and structure in 3D coalfield seismic processing. The paper focused on the denoising process in two study areas where the LIFT technology is used. The separation of signal and noise is done firstly. Then denoising would be done in the noise data. The Data of weak effective signal that is from the noise data could be blended with the original effective signal to reconstruct the denoising data, so the result which has high signal-to-noise ratio and preserved amplitude is acquired. Thus the fact shows that LIFT is an effective denoising method for 3D seismic in coalfield and could be used widely in other work area.

In order to improve imaging precision of small structures and small fault blocks of coal seams, the prestack time migration method is used for imaging. Preserved amplitude processing (PAP) is applied to prestack gather firstly after geological data and original seismic data of the exploration area are fully understood. Initial root mean square velocity field is established through the method of picking up root mean square velocity on CRP gather. Then, a precise root mean square velocity model is created after continuous iteration and modification. Meanwhile, appropriate algorithm and migration parameters are selected during the migration process. Finally, the imaging of small fault blocks and small faults in the prestack time migration section is clear and migration is highly coinciding with the case disclosed by boreholes. It’s proved that prestack time migration is especially suitable for processing 3D seismic data of small faults and small fault blocks in coal seams with complicated geological conditions.

This paper illustrated the shortcomings of present stage surveillance. For the higher demand of stage surveillance and dispatch, we proposed a new method for stage surveillance based on network technology. it is composed of a LAN, some network video cameras, a storage device and a control device. Compared to the traditional surveillance system, this network stage surveillance system will centralize the system functions for a easier control of all devices. Data communication through the network will also reduce the transmit noise and solve the problem of unclear display, which will enhance the visibility and accuracy of stage surveillance and dispatch.

Dissolved gas analysis (DGA) in transformer oil is considered as one of the preferred projects to discover the potential faults of the transformer. To identify the aging characteristics of oil-immersed transformer oil in long-term operations, it is important to study relationship between total hydrocarbon and gases dissolved in transformer oil. This paper used Pearson correlation coefficient to analyze the relationship with the data of DGA. At last, it gives the result that the correlations between the total hydrocarbon and carbon monoxide, methane, ethane, ethylene, acetylene was positive. Therefore, this study lays the foundation which help to diagnose the aging status of transformer.

Due to the features of being fluctuant, intermittent, and stochastic of wind power, interconnection of large capacity wind farms with the power grid will bring about impact on the safety and stability of power systems. Based on the real-time wind power data, wind power prediction model using Elman neural network is proposed. At the same time in order to overcome the disadvantages of the Elman neural network for easily fall into local minimum and slow convergence speed, this paper put forward using the GA algorithm to optimize the weight and threshold of Elman neural network. Through the analysis of the measured data of one wind farm, shows that the forecasting method can improve the accuracy of the wind power prediction, so it has great practical value.

The production of greenhouse has become an important means to increase the income of China's rural areas and farmers, because the environment of greenhouses is controllable and the production is efficient. The temperature and humidity are the most important environmental impacts in the production of crop. The traditional regulation of the environment in greenhouses relies on artificial sampling detection which is inefficiency. Some advanced greenhouses use field wiring to implement the environmental regulation, but the environment is complex so field wiring is also a difficult problem. Aiming at solving the problem of monitoring the temperature and humidity in greenhouses, this paper designs a on-line monitoring system of greenhouses which is based on the wireless communication technology. The system adopts the DHT11 sensors to monitor the temperature and humidity in the greenhouse, and adopts the wireless communication technology of ZigBee so as to realize the online monitoring of the temperature and humidity. By using the wireless transmission and data acquisition nodes which are placed in different greenhouses can transmit the value of the temperature and humidity in greenhouses to the central node easily, and also realized the function of the online monitoring, alarm and transmitting data from different data acquisition nodes to the central node. The system consists of a data acquisition module, a wireless communication module, an alarm module and so on. The system is advanced because of its simple structure, small volume, low cost, easy operation, wide application range, strong scalability and so on. Compared with the traditional system, it can meet the demand of acquiring the temperature and humidity value of greenhouses in China.

This article introduces several interpolation algorithms, and analyze the characteristic and disadvantage of wavelet transformation and contourlet transformation. A Bi-cubic interpolation algorithm based on non-subsampled contourlet transformation is described. The experiments prove this algorithm can improve the quality of image reconstruction better than Bi-cubic interpolation, wavelet bi-cubic interpolation and contourlet interpolation.

In engineering practices, aircraft structures have been damaged due to the structural corrosion, the corrosive problem of aircrafts needs to call high attentions for researchers because aircraft structures are composed of metals and compound metals. In this paper, corrosion problems and structural reliability of aircraft structures are discussed. Corrosion morphology and mechanism of aircraft structures are analyzed based on metal corrosion theory. The characteristics of the various types of corrosions of aircraft structures have been enumerated. The effect of environments in corrosion process of aircraft structures is studied. The law of corrosion developed at aircraft structural parts or materials is summarized. This research contributes to improving professionals capacity of corrosion prevention and control. It also provides technical support for aircraft maintainers.

Chinese wind power industry needs to raise the flexibility level to adapt the dynamic and complex environment. It is imperative to help the wind power industry to alleviate the influence of environmental turbulence. This paper established an analysis structure for environmental turbulence types including technological dynamic, supply and demand complexity, competitiveness confrontation and policy uncertainty. A questionnaire was designed and used to investigate the main influencing components in different types from experts in the field of wind power industry. By using the method of factors analysis, 19 main components are identified as having a significant influence on the environmental turbulence. The results revealed that the stabilization of wind power industry requires a combined effort from the enterprises and government.

The accuracy of short-term wind power forecast is important to the power system operation. Based on the real-time wind power data, a wind power prediction model using wavelet neural network is proposed. At the same time in order to overcome the disadvantages of the wavelet neural network for only use error reverse transmission as a fixed rule, this paper puts forward using Particle Swarm Optimization algorithm to replace the traditional gradient descent method training wavelet neural network. Through the analysis of the measured data of a wind farm, Shows that the forecasting method can improve the accuracy of the wind power prediction, so it has great practical value.

According to the coupling relationship of goods transport attributes (goods value, transportation forms, transportation batch, volume and weight, transportation distance, transportation risk, container suitability and timeliness) and transport services attributes (transportation costs, time, punctuality, quality, security and frequency ), the transport goods are divided into six categories by Quantitative Theory III: time-sensitive goods, containerized goods, general break-bulk goods, hazardous goods, long and heavy goods , bulk goods. It provides new idea and way to classification of transport goods, which can give reference for other similar researches.

Requirements for software testability is an important basis of design for software design of testability. During the software-testability-design work, a series of software design for testability measures must be taken to make software testing stage less detours, and formulation and implementation of requirements for software testing is an important element. This paper introduces a kind of develop-method of requirements for software testability. According as causal analysis, basing on manifestations of software testability, the method develops appropriate requirements for software testability for software system. Preface The software testability is referred to as a kind of attribute that aims to facilitate the application test and improve the location and correction of software error [. To a certain extent, the software testability can solve some problems facing the software test, such as helping the designer to develop the software that is easier to test, so as to reduce the test difficulty, save more test time and optimize the resource allocation. Therefore, the software testability has stood out as quite an important factor that has a great effect on the cost, time and labor allocation of software test, which are also closely related to the quality of software engineering [. Since the 1990s, the software testability has been widely concerned by the scholars both at home and abroad. According to the relevant literatures collected, the general research direction has been toward the measurement and analysis of the software testability [. It should be noted that a well developed scheme of the requirement of software testability can not only enhance the testability of the target software, but also serve as the evaluation criterion of the testability, which means that it will have special reference to the improvement on the software test [. Based on the casual analysis, this paper has sought to provide a whole set of the requirement of software testability and come up with a real case so as to approach the design issues of the software testability [. 1 The requirement of software testability

According to the phase delaying question of estimated rotor position angle in traditional sliding mode observer, using fractional order calculus theory and singular perturbation two-time-scale decomposition theory, making up the parameter designing rules of fractional order PD sliding mode observer, proposed position sensorless control strategy for permanent magnet synchronous motor based on fractional order PD sliding mode observer. On one side, taking fast time-varying subsystem of singular perturbation two-time-scale decomposition theory to establish fractional order sliding mode observer; on the other side, taking slow time-varying subsystem of singular perturbation two-time-scale decomposition theory to obtain parameter of fractional order sliding mode observer. The results show that the method could not only making estimated rotor position angle follow actual rotor angle, but also establishing a global compensating control strategy of estimated rotor position angle effectively.

Based on wavelet threshold de-noising method which put forward by Donoho, we analyze and compare the advantages and disadvantages of hard threshold, soft threshold and some improved threshold methods. Based on polynomial interpolation method, a new threshold function is proposed, which is continuous in the whole threshold area, with little constant deviation between the estimated wavelet coefficients and original signal wavelet coefficient, and high-order derivative and easy processing. The simulation results show that this method can give better optical effect, SNR gains and MSE performance.

As the renewable energies become more and more popular due to the conflicts between economic development and environment, not only the utilities but also the residential consumers start to think about installing alternate and renewable generations. For residential use, the renewable energy sources can provide alternate energy resource in case of outages as well as save the utility bills. This paper is to provide suggestions for residential installation of renewable and alternate energy based on technical and commercial feasibility analysis and give the recommendations on installing wind energy, PV system and energy saving tips.

To understand the effect of mechanical stimulation on posterior sclera reinforcement (PSR), the rabbit scleral fibroblasts after PSR were subjected to stretch in vitro and MMP-2 and TIMP-2 expression of scleral fibroblasts were evaluated. Three-week-old rabbits were monocularly performed by eyelid suturation randomly to prepare experimental myopia eye. After 60 days, the experimental myopia eyes were treated by PSR. After 6 months, the posterior pole scleral fibroblasts (normal sclera - group A, sclera after operation - group B and fusion region of sclera and reinforcing band group C) were isolated and cultured in vitro. The cells were subjected to cyclic stretch regimens (sine wave, 3% and 6% elongation amplitude, 0.1Hz, 48h duration) by FX-4000 Tension System. The MMP-2 and TIMP-2 expression of scleral fibroblasts were evaluated by ELISA method. The results show that after cyclic stretch to the scleral fibroblasts of the normal sclera and the sclera after operation, the MMP-2 expression was significantly reduced and the TIMP-2 expression was significantly increased, the MMP-2 and TIMP-2 expression of the scleral fibroblasts of the fusion region after operation was no changed. It was indicated that the mechanical stimulation could regulate the MMP-2 and TIMP-2 expression of scleral fibroblasts and play an important role in the process of treating high myopia with PSR surgery.

A modified YSZ thermal barrier coating (TBC) was prepared by simultaneously depositing two components, NiCrAlY and YSZ, on nicked-based superalloy DZ125 via atmospheric plasma spraying. In this study, the sodium salt was deposited on substrate surface at the deposition rate of 3 mg/cm-2. After being heated at 950 °C for 50min, the specimens were cooled to ambient temperature within 10 min. The specimens were recoated after each 10 cycles. Subsequently, the corrosion products were analyzed via X-Ray diffraction and SEM. The results indicated that deterioration of traditional YSZ coating mainly resulted from the fluxing of thermal grown oxides (TGO). Conversely, abnormal growth of TGO and enrichment of molten salt around segmentation crack were not observed in the modified YSZ thermal barrier coating. Moreover, the modified YSZ-TBC exhibited higher thermal resistance than traditional YSZ-TBC in the thermal cycling testing.

The flattening behaviour of angle section beams subjected to pure bending is studied in this paper. Analytical solutions for static instabilities of angle section beams subjected to pure bending about its weak axis are derived using energy methods. Nonlinear finite element model using the code ANSYS is developed to simulate nonlinear snap-through instability of angle section beams under pure bending. The optimization assumption about flattening shape of the leg is proposed, through comparison of between the present solutions, experimental results, and the finite element results.

Most of the LED Stage Lighting lamps use LED arrays or LED chips, while gathered chips require faster heat dissipation. If LED temperature gets too high, it will inevitably lead to its optical, electrical and color performance change, and will seriously affect LED working performance and its life. This paper mainly discussed LED Stage Lighting lamp heat dissipation, using the finite element method to analyze the LED temperature field. Then we used ANSYS Workbench to simulate the field and optimize its dissipating performance, and finally designed a LED radiator. Results showed that after the optimization, it had solved the heat accumulation problem of LED lamp, reduced the center temperature of LED effectively, keeping LED work in a proper temperature range.

A novel method to functionalize graphene oxide (GO) by hyperbranched polysiloxane via polyhydrosilylation is reported, taking advantage of hyperbranched polysiloxane that possesses good properties such as low viscosity, good rheology, good solubility and high reactivity. The changes in GO surface morphology, chemistry and physical conditions at different stages are characterized by Fourier-transform infrared spectra (FT-IR), X-ray photoelectron spectroscopy (XPS) and Transmission electron microscopy (TEM). XPS analysis shows that the oxygen content of GO is 29.90% and the silicon content of hyperbranched polysiloxane grafted graphene oxide (HBPGO) is 18.66%. The results indicate that hyperbranched polysiloxane is successfully grafted onto the surface of GO and this novel nanostructure may have potential applications in composites.

Virtual crop models and animation make great significances to agricultural researches. But to recreate the structure and dynamic is often a hard and laborious task. Most existing plant-modeling systems require the user to have specific biological knowledge about plants, but its often the 3D artists who do the work. This paper discusses a method of plant modeling and rigging in Maya, which has already been familiar to 3D artists and has advantages in industrial production pipelines. The method takes pepper plant for example, dividing the problem into organs and the growth patterns, and using Maya modeling and animating system to simulate the topological structure and growth dynamic. It set up the geometry with controls which are easy to use. The result can be conveniently exported to projects. This approach helps prepare the research of variety plant modeling and animation plug-in for Maya.

As a typical binary classifier, its an inseparable sample problem about the Support Vector Machine (SVM) when processing the classification of the multi-class vehicle models. Since the SVM can not estimate the effect size of the samples classification accurately, and then reduces the classification generalization ability. In this paper, a fuzzy Support Vector Machine (FSVM) classification algorithm is applied to vehicle classification. According to the difference of the contribution which the vehicle characteristics make to the classification, the appropriate degree of membership is given, and the algorithm improves the vehicle models classification ability of the traditional SVM effectively. The experimental results show that the new method, compared with the existing vehicle classification method, is feasible, effective, and with a high classification accuracy

This research considers the problem of scheduling jobs on unrelated parallel machines with inserted idle times to minimize the earliness and tardiness. The aims at investigating how particular objective value can be improved by allowing machine idle time and how quality solutions can be more effectively obtained. Two mixed-integer programming formulations combining with three dispatching rules are developed to solve such scheduling problems. They can easy provide the optimal solution to problem involving about nine jobs and four machines. From the results of experiments, it is found that: (1) the inserted idle times decreases objective values more effectively; (2) three dispatching rules are very competitive in terms of efficiency and quality of solutions.

Self-compacting concrete (SCC) refers to one kind of high-performance concrete which can fill formwork and condensed reinforced steel by the weight of concrete mixture without vibration. In this investigation, local raw materials from Shenzhen Jinqiang Concrete Co. Ltd were employed. Self-compacting concrete mixtures with targeted 3-day compressive strengths of 60MPa or 80MPa and required flow properties were evaluated. Moreover, the SCC was successfully applied in Shenzhen Mangrove Garden project.