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what the cheaper and easier to get is graphene to replace high cost, limited sources of material and high temperature difference between the ITO (indium tin oxide) electrode material as a quantum dot solar cells is the focus of this study. This study used a chemical vapor deposition (CVD) production of graphene electrode explore the relationship between the transmittance and the graphene sheet resistance graphene layers; then make a graphene material as an electrode of the solar cell devices of different size and detecting its performance, the conclusion that the material is graphene electrode PbSe / CdSe quantum dot battery, which can effectively improve the conversion rate of the quantum dot solar cells (up to 3.6%), and stability, but also can greatly reduce the cost

This essay employed the "successive ion layer adsorption and reaction (SILAR)"technology to form PbSe/CdSe core/shell.We use the Pbse/CdSe core/shell replaced PbSe nanocrystals and obtained one new quantum dot solar cells of the inorganic.This new solar cells constituted by the metal oxide films retain the photoelectric conversion efficiency of quantum dot solar cells.At the same time,the stability of the new solar cells is tremendously improved with the oxidation resistance of inorganic oxide.Finally,when Jsc=25.2mA/cm2and Voc=0.36V ,we can conclude the conversion efficiency of the solar cell can be evaluated as 3.929%.

In order to predict the failure probability of a complicated structure, the structural responses usually need to be estimated by a numerical procedure, such as finite element method (FEM). To reduce the computational effort required for reliability analysis, response surface method could be used. However the conventional response surface method is still time consuming especially when the number of random variables is large. In this paper, a Fourier orthogonal neural network (FONN)-based response surface method is adopted to solve the reliability analysis of the automobile engine. The working process of the connecting rod is simulated with UG software, the dynamics analysis on crank-connecting rod-piston mechanism is performed with ANSYS and ADAMS software, with FEM analysis results, the stress information of the critical point of the structure can be obtained, so the performance function of the structure can be established. The FONN method is used to fit the performance function as well as its derivatives, so as to calculate the reliability of the structure.

In view of the risk to use the traditional rheostat Slide Rheostat and the contradiction between its range and accuracy, in this paper, designed automatically adjust the rheostat of resistance based on the traditional rheostat, and further study on combination relationship between different range and precision resistor. The host controller and the under controller was designed too. The slide rheostat can solve the existing problems between range and resistance and operational safety, and improve the safety and adjusting speed during operation.

An arrayed waveguide grating (AWG) multiplexer with flat spectral response has been designed and fabricated by using FPE polymer materials. Experimental results show that the central wavelength is 1550.86 nm, and 3-dB bandwidth is about 0.478 nm, insertion loss is 10.5 dB. Simulated results show that fabrication processing result in the shift of the transmission spectrum compared with the device theoretically designed. Furthermore, the transmission characteristics are discussed, and some efficient ways are reported.

The competitive power of enterprise in the evaluation usually by enterprise economic benefits financial standards, in order to make the results more reasonable, this paper applied the fuzzy comprehensive evaluation method, by one insurance company management, human resources, market control ability to carry on the analysis, summarizes the influence of the competitiveness evaluation index, and use the weighted statistics calculation of index weight, the establishment of the enterprise competitive power evaluation fuzzy comprehensive evaluation model, and formed a relatively systematic and comprehensive evaluation system, this model is helpful to understand the development of the enterprise locus for enterprises to formulate the corresponding development strategy, to promote enterprise's sustainable development has a certain function, for the enterprise competitive power evaluation provides a quantitative analysis, so that the evaluation work to achieve satisfactory results. This method can also be extended to more the enterprise the competitive ability for transverse comparison.

Different cloud services need different resources, how to use the resources efficiently has become one of the hot research topics about cloud computing. In order to improve the utilization of resources in cloud, this paper proposes an automatic cloud service classification method, which uses an artificial neural network to predict the type of service resource requirements, and classifies services based on the predicting result. In this paper, we do classification experiments on three groups of Web services on Web service site. The experiment results show that, the method is effective and can predict the type of resource requirements for Web services automatically.

The classic multi-objective optimization method of sub goals multiplication and division theory is applied to solve optimal load distribution problem in thermal power plants. A multi-objective optimization model is built which comprehensively reflects the economy, environmental protection and speediness. The proposed model effectively avoids the target normalization and weights determination existing in the process of changing the multi-objective optimization problem into a single objective optimization problem. Since genetic algorithm (GA) has the drawback of falling into local optimum, adaptive immune vaccines algorithm (AIVA) is applied to optimize the constructed model and the results are compared with that optimized by genetic algorithm. Simulation shows this method can complete multi-objective optimal load distribution quickly and efficiently.

Based on genetic algorithm (GA) and immune algorithm, adaptive immune vaccine algorithm (AIVA) takes advantage of immune memory and immune vaccines operator of immune algorithm, while using adaptive crossover and mutation operators of improved genetic algorithm. The algorithm can effectively overcome the shortcomings, such as the premature convergence of the basic genetic algorithm, the poor ability of local search and reduction of diversity. At the same time, it ensured the algorithm convergence and effectively prevented the degradation of the population. It also improved the convergence stability and convergence speed, shortened the searching time and improved operating efficiency. AIVA was applied for multi-angle plant level load optimal distribution considering the economy, environmental protection and speediness.

Based on ideal point principle, an economic/environmental dispatch model considering valve point effects was constructed. The model combined optimization and decision-making process of multi-objective optimization problem and its dynamic transformation can be achieved simply by changing the weights of each of the target model. The adaptive immune vaccine algorithm was applied to optimizing the model. Meanwhile, the target expected completion rate was brought up to measure the completion degree of the environmental and economic indicators. The simulation results showed that the method proposed can reduce the pollution of the environment effectively with low fuel cost.

This paper combines the characteristics of real-time embedded systems and the real-time operating system to propose a software engineering method and process which bases on the function structured analysis and task structured design. First in the process of structured analysis based on the Hatley-Pirbhai method, extracting and sorting out the data flow and control flow according to the functional requirements of the system, analyzing and processing the functions of the system, the dependency among the functions and the timing sequence, and then realizing the design of the specific functions of the system, next achieving the structural design through the improving method, it also simplifies the system design processes. At this time, just need to analyze and divide the processing which is obtained from the structural analysis to get the specific task, design the interfaces among the tasks and also every task to get the new design method of the embedded real-time operating system, which also solves hard issue of the traditional method which is the weak extracting and developing iteration in the embedded real-time system.

In this paper we discuss one kind of nonhomogeneous (H,Q) processes, Nonhomogeneous Semi-Markov Process. We get the distributions and moments of the first entrance time for this process. And furthermore, we obtain their recursive formula.

The performance of the fiber distributed vibration monitoring technology based on the phase sensitive optical time domain reflectometer (φ-OTDR) is reseached. the principle of fiber distributed vibration monitoring of the φ-OTDR and multi-point positioning are illustrated. And this paper indicates the feasibility of realizing multi-point positioning by the φ-OTDR system, and carry on a further research on the φ-OTDR system ́s frequency response range, measuring distance, spatial resolution and other aspects. The inverse proportion relations between the frequency range and distance of the φ-OTDR system, and the relations among spatial resolution, laser pulse width, refractive index and sampling rate are illustrated.

The greenhouse temperature and humidity monitoring base on the application of virtual instrument technique apply LabVIEW as the software development platform, taking computer technology as the core. It equipment with the sensor, data acquisition, signal conditioning circuit and other hardware devices to achieve the greenhouse temperature and humidity parameters such as real-time acquisition, analysis, display, data storage function. The virtual instruments and the traditional monitoring equipment compared to display more intuitive, more easy to achieve functional expansion.

The nutritional parameters of methamidophos degrading enzyme, which is isolated from soil from Daqing and identified as Staphylococcus Rosehbach, were studied by response surface methodology (RSM). Glucose, peptone and culture time were analyzed by Box-Behnken design for optimizing their concentrations in the medium and the effect of their mutual interaction on methamidophos degrading enzyme activity. Glucose and soybean protein were found in influencing the methamidophos degrading enzyme activity highly significant. Glucose and soybean protein also showed an effect on the methamidophos degrading enzyme activity in interaction with other variables. The optima values of the parameters obtained through RSM, 0.31% glucose, 0.09% peptone and culture time 72h were applied. Actual value of verifiable experimentation was that the degradation ratio of methamidophos degrading enzyme to methamidophos was 39.8% at the optima conditions.

Carbon dioxide is one of the important signature gases in spontaneous combustion forecasting of coal goaf area. In the mine limited ventilation environment, concentration of CO2 directly affects the health of coal mines. So a new application of the least squares fitting method in Coal Mine gas monitoring was introduced. The optical fiber CO2 monitoring system which based on this method and tunable diode laser absorption spectroscopy (TDLAS) technology was used in Coal Mine beam tube system, and selected a near-infrared wavelength 1609.117nm fiber-coupled distributed feedback laser (DFB) as light source. Goaf area gas concentrations were directly calculated by the least squares fitting method which also simplified the calibration operation that used only one point to calibrate. Compared to electronic CO2 detector, this improved system has very high detection accuracy and stability. In the condition of 1.4m gas cell, the minimum detectable concentration is 0.05%, and the minimum detectable spectral absorption rate can up to , response time≤60s.

The research of the large branches grinder is based on the requirements of China's biomass power generation to branches timber local processing. According to China's specific national conditions, the design of the existing branches grinder has been improved. By increasing the wooden grasping manipulator improves feeding efficiency and automation. The transmission mode of branches grinder has been changed. Switching to big diesel engine to drive it overcame the existing branches grinder’s dependence on electricity. Increasing the trailer chassis make it moved freely, which made the branches grinder crush the branches local.

At present, our country has stepped up efforts to develop biomass power generation. However, due to the mill not in-depth study of cutting forces and factors in the design of branches crusher which led to the branches crusher can not meet domestic branches of biomass power generation’s demand to raw materials. In the article, the cutting force of the branches grinding has been studied based on BX218 branches crusher. The formula for calculating the cutting force has been deduced. The factors that affect the cutting force have been identified. Finally, ANSYS finite element analysis carried out on the Flying, which is effected by the cutting force.

In this paper, a novel strain sensor based on chirped fiber grating with temperature compensation is presented. The proposed strain sensor uses double chirped fiber gratings. The temperature compensation exploit the principle that the wavelength shifts of these two chirped fiber gratings induced by temperature is consistent. This strain sensor is demodulated by the light intensity detection with low cost. Furthermore, the strain sensor is simulated in the end of this paper.

This paper mainly studied the Viscosity of polyethylene glycol dilaurate and the surface tension, discussing the effects of temperature, concentration, rotate speed on the viscosity. The results show that the viscosity of the long carbon chain fatty acid was higher than the short carbochain, and the viscosity decreasing trend with increase of the temperature. The internal structure of emulsion may take place changing due to the temperature changing. The liquid crystal disintegration or occurred phase change could result that the viscosity appeared the abrupt peak. The viscosity of emulsion maybe appear one or two peaks with the changing of concentration, that the viscosity decreasing with increase of the temperature and rotate speed.