Advanced Materials Research Vol. 428

Abstract: Experiments with ZnO Metal-Oxide-Semiconductor （MOS） under different circumstances were made to get four different I-V curves. There were four conditions: dark, and tests with the green, blue, ultraviolet LED light. According to references, three parameters B，V_B0 and N_barr could be acquired by fitting lines of the I-V curves using MATLAB and LabVIEW. From their definitions, B, V_B0 and N_barr indicate photoelectric properties of ZnO cooperatively under concrete conditions. V_B0, grain boundary potential, is parameter of extrinsic properties of ZnO determined by both ZnO and testing conditions. So V_B0 is critical to control the photoelectric properties of ZnO. A smaller V_B0, the stronger the photoelectric response of ZnO and the lager the efficiency of photoelectric conversion. Besides, this theory can be expanded to test the photoelectric properties of the other semiconductor materials. And I-V curves can direct the application of these materials efficiently.

Abstract: The science and technology innovation in agriculture has the essence characteristic of high rentability, agricultural regionalism and the long time lag. The effect evaluation of agricultural science and technology innovation is to seek for the optimal solution, is also the misalignment mapping. This paper constructs the evaluating index system to reflect the innovation effect from system angle, proposes a novel particle swarm method which uses the randomness, the rapidity and the global characteristics to obtain the pheromone distribution, and has the faster velocity of convergence. The effect evaluation of 12 samples shows that the results given by this model are reliable, and this method to evaluate the effect of agricultural science and technology innovation is feasible.

Abstract: The paper describes the dynamics analysis of the timber truss tower structure located near Bohdaneč village. Regular static analysis and response on dynamic wind action detailed calculations of tower was performed. Article contents description of elaborated analysis, results summary and qualifying reliability of the structure considering dynamic wind effect in direction of the flow, vortex excitation and pedestrians’ movement action.

Abstract: A reliable model for any wastewater treatment plant is essential in order to provide a tool for predicting its performance and to form a basis for controlling the operation of the process. This would minimize the operation costs and assess the stability of environmental balance. For the multi-variable, uncertainty, non-linear characteristics of the wastewater treatment system, a variable metric chaos optimization neural network (VMCNW) prediction model is established standing on the actual operation data in the wasterwater treatment system. The model overcomes several disadvantages of the conventional BP neural network. Namely:slow convergence, low accuracy and difficulty in finding the global optimum.The results of model calculation show that the predicted value can better match measured value,played a effect of simulating and predicting and be able to optimize the operation status. The establishment of the predicting model provide a simple and practical way for the operation and management in wastewater treatment plant,and have good research and engineering practical value.

Abstract: Objective: Regarding a number of outstanding issues in orienteering teaching of males in colleges and universities, I discuss the value and effects of multimedia technology when applied in orienteering teaching as a selective course. Methodology: For the research subjects of Class 1 (as an experiment class with 32 persons) and Class 2 (as the comparison class with 33 persons) of Jinggangshan University, which entered the university in 2009, and which took the selective orienteering course, the literature method, interview method, measurement method, comparison method, questionnaire method and mathematical statistic method were used to conduct an empirical study over the scores of the students in 100m run, 1000m run, orienteering theory, and 100m orienteering. Result: Compared with its scores before the experiment, after the experiment, the experiment class scored 0.45s less in 100m run (P=0.02< 0.05); 21.32s less in 1000m run (P=0.000< 0.01); and 29.05 points less in orienteering theory (P=0.000< 0.01). Compared with the comparison class, after the experiment, the experiment class scored 5.7s on average in 100m orienteering (P=0.000<0.01). Conclusion: Both the multimedia-assisted teaching and the traditional teaching can greatly improve the male students’ scores in 100m run, 1000m run and orienteering theory. However, the multimedia-assisted teaching does better to improve their scores in 100m run and 1000m run, and extraordinarily better in orienteering theory, than the traditional teaching does. Moreover, it can greatly increase their scores in 100m orienteering, with fewer errors and obvious effectiveness. If properly applied, the multimedia-assisted teaching will stimulate the interest of students, so that they can better learn and understand orienteering-related knowledge within a shorter period of time. Such teaching technique is worth spreading.

Abstract: During nitriding treatment between 350°C and 550°C, the phase transformation sequence on the nitrided layers of the alloys was found to be γ → (γ + γ_N) → (γ + α+ CrN). The hemocompatibility test demonstrated the nitrided layer processed the excellent hemocompatibility properties. These results could be useful in further understanding the clinical mechanismsof thenitrided alloys, to develop as a potential biomedical material.

Abstract: Isothermal compression of Ti-6Al-4V-0.1B alloy was carried out at deformation temperature of 850-980 °C, strain rate of 0.01-1s^-1, and maximum height reduction of 60% with Gleeb1500D simulator. The equation between flow stress and strain was gotten for plastic deformation. It shows that the peak flow stress and steady stress were sensitive to the strain rate and temperature except low strain rate and above 950 °C. The activation energy of deformation was obtained in isothermal compression of Ti-6Al-4V-0.1B alloy was 578.29KJ/mol in (α+β) region. The constitutive equation which describes the relationship between the flow stress as a function of strain rate, strain, and deformation temperature were established by adopting the Arrhenius equation:=3.22×10²⁴sinh^3.29527(0.0107σ) exp (-578290/ RT).

Abstract: Ti₅₀Cu₂₃Ni₂₀Sn₇ bulk amorphous alloy was prepared by mechanical alloying and spark plasma sintering. The milling was performed in a high-energy planetary ball mill. XRD showed that after milled 35h, fully amorphous powders can be obtained, under the condition of the milling speed, 300rpm, and the weighs ratio of ball to powder, 20:1. Thermal stability of the as-milled amorphous powder was determined by DSC at the heating rate of 40K/min. The glass transition T_g and the initial crystallization temperature T_x1 was 746K and 782K, respectively. Then, the obtained amorphous alloy powder was compacted by spark plasma sintering at the temperature of 753K, 763K, 773K, 783K and 793K under the compress of 500Mpa. Crystal structure and the morphology of the sintered samples were investigated by XRD and SEM, respectively. When sintered near the glass transition temperature, the SPS sintered samples remained complete amorphous, crystalline peak did not appear in the XRD curves. As the sintering temperature increased, the crystalline phases in the sample began to increase. It was shown that when sintered at 753K and 763K, the samples had fewer defects, and it was completely amorphous alloy. When the sintering temperature increased to 773K, more defects appeared, including point-like defects and disc-shaped defects. The disc-shaped defect was widespread in the specimens sintered at 783K and 793K.

Abstract: Water consumption of plants is a key parameter for formulating irrigation system, and the precise prediction play a important role in improving the use efficiency of limited water resources. In this experiment, by using the method of General Regression Neural Network (GRNN) and MATLAB DATA PROCESSING SYSTEM combined with the meteorological data of air temperature, relative air humidity, solar radiation, wind speed, soil water content and dew point temperature as the input variable, the author established the artificial neural network system to forecast the seedling water consumption of P.×euramericana cv.“74/76”, and made the amendment to the Neural Network Model, by comparison between original model and corrected model, we draw the conclusion that all parameters, except solar radiation, had better correlation between corrected values and measured values: relative air humidity (0.99>0.98), air temperature (0.62>0.61), dew point temperature (0.96>0.82), soil water content (0.56>0.54), wind speed (0.89>0.86), and the corrected model had higher forecasting accuracy. In addition, the maximum relative error of GRNN corrected model was 0.104, the minimum relative error was 0.010, the average relative error was 0.04. The corrected model is superior to the original model that the former performs a higher forecasting accuracy with relatively shorter time consumption and faster speed in training. Therefore, we propose that GRNN model and its corrected model can be used in prediction of seedling water consumption.

Abstract: In this research, the water absorption of polypropylene-pistachio twig flour composite with different content pistachio twig flour were investigated. For this purpose, water absorption was determined according to modified D570 standard. The results indicated that the water absorption of composites increased with increasing of wood flour content.