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Silver has functional properties such as disinfection, sterilization, and anti-corrosion.The combination of silver and conventional ceramics by high-temperature silver plating can impart the functionality to ceramic products and increase the functionality of ceramic products.The traditional way of decorating ceramic products is mainly glazed decoration, which combines silver and ceramics, and its silver metallic luster can bring decorative effects to ceramic products. And it is produced by high-temperature silver plating, which saves costs in the production process compared to traditional silver plating.At the same time, compared with traditional ceramics, high-temperature silver-plated ceramics can take into account the properties of ceramics and can also play the role of disinfection, sterilization, anti-corrosion and other properties of silver. It is produced by high-temperature silver plating, which is more cost-effective than traditional silver plating in the production process. At the same time, compared with traditional ceramics, high-temperature silver-plated ceramics can achieve the disinfection and sterilization of silver in consideration of the properties of ceramics,anti-corrosion and other attributes, a reasonable combination of the two, fully demonstrate the functionality and decoration of both.

In this paper, ZnO nanocrystalline photoanodes were treated by zinc acetate aqueous solution. The effect of surface chemical modification processing on the photovoltaic performance and electrochemical properties of ZnO nanocrystalline dye-sensitized solar cells (DSSCs) were studied systematically. The SEM results revealed that the surface of the ZnO photoanode films were rough and some aggregations were formed after the surface chemical modification processing. The number of aggregations increased with increasing processing time, and showed wide grain size distribution simultaneously, which effectively increased the light scattering and decreased the grain boundaries to suppress the electron recombination. Moreover, the surface of these photoanode films were filled with micropores, which was benefit to the infiltration of electrolyte solution. The short circuit current density increased from 7.20 mA•cm-2 to 8.61 mA • cm-2 when post-treatment 20 min, and the maximum energy conversion efficiency reached 3.61%, which enhanced 43% compared with that without post-treatment.

The technique utilizing single-frequency laser interferometry has very high measurement accuracy, but it has rigorous requirements for optical design which is affected by many factors. In order to achieve single-frequency laser interferometry with large stroke and high precision, the integral layout, the polarization phase shifting technique and the common mode rejection method are adopted to design the length interferometry system. This paper analyzes factors and design requirements which affect measurement accuracy with large stroke. Based on polarization phase shifting technique, the system employs the four-beam-signal detection technique and the common mode rejection method, to make a differential processing of four mutually orthogonal signals. Thus, the influences of zero-drift of intensity and environmental change on system are reduced. Combined with a 200 phase subdivision, the system achieves the resolution with 0.8 nm. Under the VC++ environment, the displacement measurement results are compensated and corrected according to the environmental parameters. Compared with the Renishaw XL-80 laser interferometer, the system has better stability in short term. In the measuring range of 60 mm, the effectiveness of the system is verified.

Cholinesterase serves as a key enzyme of the cholinergic system, which could be one kind of promising biomaterial to assay OP and CB residues. However, cholinesterase purified from tissues or blood is both time and cost intensive. In this essay, different methods via biotechnology to get this biomaterial in Pichia pastoris is summarized, including cholinesterase gene cloning and expression vector construction, construction of genetic modified yeast, screening high yield transformant, purification from supernatant and activity analysis.

A practical way to manipulate the magnetic anisotropy of magnetostrictive FeGa thin films grown on flexible polyethylene terephthalate (PET) substrates is introduced in this study. The effect of film thickness on magnetic properties and magnetostriction constant of polycrystalline FeGa thin films was investigated. The anisotropy field Hk of flexible FeGa films, i.e., the saturation field determined by fitting the hysteresis curves measured along the hard axis, was enhanced with increasing the tensile strain applied along the easy axis of the thin films, but this enhancement via strain became unconspicuous with increasing the thickness of FeGa films. In order to study the magnetic sensitivity of thin films responding to the external stress, we applied different strains on these films and measure the corresponding anisotropy field. Moreover, the effective magnetostriction constant of FeGa films was calculated from the changes of both anisotropy field and external strain based on the Villari effect. A Neel’s phenomenological model was developed to illustrate that the effective anisotropy field of FeGa thin films was contributed from both the constant volume term and the inverse thickness dependent surface term. Therefore, the magnetic properties for the volume and surface of FeGa thin films were different, which has been verified in this work by using vibrating sample magnetometer (VSM) and magneto-optic Kerr effect (MOKE) system. The anisotropy field contributed by the surface of FeGa film and obtained by MOKE is smaller than that contributed by the film volume and measured by VSM. We ascribed the difference in Hk to the relaxation of the effective strain applied on the films with increasing the thickness of films.

A bacterium strain named L-g6 isolated from kitchen garbage, through 16s rRNA sequencing and Biolog GEN III MicroPlate analyzes, was identified asBacillus coagulans. In the present study, the optimal growth conditions ofB.coagulansL-g6 was at 45°C, pH 7 and in the growth of 6 h reached the end of logarithmic phase.B.coagulansL-g6 can break down cellulose, starch, protein, fat; and the best decomposition effect is protein, followed by starch and cellulose, less fat. In total,B.coagulansL-g6 can be used as a starter production scale degradation of kitchen waste. The research will contribute to the development of micro-ecological preparation ofB.coagulansL-g6.

With the popularity of the network and mobile Internet, numerous social network platforms appeared in the world. Also, there have been a large number of users using a plurality of social network platforms at the same time. When these users use multiple social network platforms, they need to overcome many difficulties such as switching social network client applications frequently and so on. This article takes consideration of the needs of the multiple social networks’ users, proposing a solution to solve multi-barrier problem, and demonstrating the feasibility and effectiveness of the method by actual cases.

A new Passage Airbag (PAB) folding method which integrates simulation folding and manual folding is presented. Determining how to get a multi-layer 2D surface is vital to PAB folding. By means of 3D PAB flattening process simulation, 2D surface with a minimum area loss is created. This method avoids the traditional measurement of real PAB to obtain 2D airbag with inaccurate shape and size. After flattening PAB simulation, the 2D surfaces are meshed with respect to the predefined folding lines. The subsequent folding steps of flat 2D airbag are carried out according to the folding requirements. Finally, the reference geometry meshing and folded airbag are obtained accurately and rapidly. The static PAB deployment test is modeled using particle method for gas flow to validate this folding method. Good correlation between simulation and test results during early deployment phase of airbag is achieved. It has proven the effectiveness and feasibility of this PAB folding method.

In order to achieve three-dimensional automatic splicing from the multi-angle, the paper presents a new splicing method. The method utilizes the invariance of the spatial characteristics of the characteristic landmarks and then marks the characteristic landmarks by introducing the angle collection between the characteristic landmarks, and match in space for the characteristic landmarks within two perspective regional based on this characteristic collection. This method eliminates the tedious encoding process of the landmarks, so improves the spatial matching rate and ensures the matching accuracy. In addition, in the process of striking the three-dimensional coordinates of the landmarks, this paper strikes image coordinate of the characteristic signs circle center by introducing the regional connectivity feature flag. This method eliminates interference from unwanted areas, and distinguish between the various signs round independence and improves the strike rate of the circle center. At the end rotation matrix R and translation vector T of the coordinate system normalization are solved by the quadruple method. Examples show that the algorithm has strong robustness, can realize quickly, automatic stitching for the visual data, and has the very good practical value.

Based on the establishment of evaluation framework for sustainable development of cellulosic ethanol, Analytic Hierarchy Process (AHP) method was used to evaluate the sustainable development of cellulosic ethanol from 2001 to 2010 in Tianjin. The result shows that environmental issues are playing an important role in the cellulosic ethanol development in Tianjin. Compared with coal and oil, cellulosic ethanol is more sustainable. However, with the expansion of the production scale, the greenhouse gas emissions increase. Therefore, in order to control air pollutants including greenhouse gas and develop cellulosic ethanol better, the study of optimal developing scale and speed is the best research direction.

Fine particulate matter PM2.5 is the main factor of "Haze” weather. The paper chose the content of various indicators in the sets of air quality index AQI detected by a monitoring station in Wuhan city as samples. Based on the methods of Spearman's rank correlation coefficient and Kendall rank correlation coefficient to establish mathematical model, the paper analyzed the correlation between the content of PM2.5 and other five basic detection indicators and corresponding pollutants, with providing theoretical and experimental evidence for air management work. Two methods of the experiment results showed that PM2.5 (content) has a strong correlation with sulfur dioxide, nitrogen dioxide, particulate matter, carbon monoxide (content), and had a negative correlation with ozone (content).

In this paper, BP neural network model is used to establish the occurrence and evolution model of PM2.5 in an area in Xi'an city. In the model, wind, humidity, season, SO2,NO2,PM10, CO,O3 (in one hour ) and O3 (in eight hours ) and other influence factors are all considered. The model has good reliability, it can accurately forecast the value of PM2.5 and its variation in the near future, which can provide the basis for the PM2.5 control.

For mutual occlusion problem in multi-object tracking process, a novel tracking algorithm based on bilateral structure tensor corner detection is proposed, which can separate the objects correctly when they experience mutual occlusion. Firstly, it gains the information of each object corners. Secondly, when occlusion occurs, it makes use of K nearest neighbor algorithm combining with the nearest algorithm to classify the corners in occlusion region. Finally, the multi-object tracking algorithm is proposed. The experimental results show that the proposed method can separate the objects correctly and track the objects effectively, when they experience mutual occlusion, even the object changes its motion direction after occlusion.

In Multi-Agent System, obligations are actions that agents are required to take or some states of affairs which should be maintained, formal modeling and verifying obligation policy which is high-level requirements specifications or communication protocol for constraining agent interaction can enhance the correctness of the system design. Therefore, in this paper a formal framework language for modeling obligation policy is introduced. In this method, the obligations are defined as a special social commitment, the state models of obligation are defined by classifying the obligation. Then we use the policy context and state model to formal the dynamic execution of obligation policy, finally the operational semantics of the framework language is defined as a state transition system which has Kripke semantic structure and it can be as formal foundation for model checking.

Most constraint-handling methods in constrained evolutionary optimization usually take advantage of only the valuable information of feasible solutions, while they don’t exploit adequately the information from infeasible ones. In this paper, a concept of “feasible component” is introduced to recognize the characteristics of diverse information extracted from infeasible solutions. Then a component-based ranking strategy is proposed for evolutionary optimization with sparse constraints by integrating feasible components and the idea of stochastic ranking. Experimental results on several problems with sparse constraints show that the component-based ranking strategy performs better than the stochastic ranking.

The spectrum estimation is a main content of modern signal processing, it is very important for random signal detection and analysis. This paper researched the classical spectrum estimation method, simulated the periodogram method, Barlett method, and Welch method of power spectrum estimation, then mainly discussed the spectral resolution about different length of data, also discussed the resolution of the spectral estimation and the performance of variance in the different way.

This article analyzed the defects of SVM-RFE feature selection algorithm, put forward new feature selection method combined SVM-RFE and PCA. Firstly, get the best feature subset through the method of cross validation of k based on SVM-RFE. Then, the PCA decreased the dimension of the feature subset and got the independent feature subset. The independent feature subset was the training and testing subset of SVM. Make experiments on five subsets of UCI, the results indicated that the training and testing time was shortened and the recognition accuracy rate of the SVM was higher.

An experiment is used to research the influence of injection stress towards the wear of steel ball in reinforced grinding processing under the setting condition. The field-emission electron microscope is used to obverse the samples surface morphology and the phonology equipment of surface morphology is used to measure the surface morphology of samples. The surface of the steel ball wear degree is analyzed by the surface morphology indirectly. Experimental research shows that in the condition of setting experiment, the injection pressure of reinforced grinding should not lager than 0.6MPa. If not, the obvious wear will appear in the surface of steel ball and the disadvantageous influence will happen, such as scratching the surface of workpiece under processing.

This paper designs a modular parallel mechanism for single-driven multi-legged robots. The mechanism achieves the goal to coordinate the lifting and swinging of all the legs with only one actuator and has good motion characteristics. The mechanism is not only easy to control, but also capable to optimize the trajectory of the robot legs by changing the structure size of the mechanism. This paper implements the trajectory simulation and dynamic simulation of the key points of the mechanism on the basis of the kinematics model, and the results show that the mechanism has a good trajectory and motion characteristics. The modular parallel mechanism is also applicable to those multi-legged robots such as quadruped robots and eight-legged robots, indicating that it has a good scalability.

The conical area evolutionary algorithm (CAEA) can efficiently solve the bi-objective optimization problems by borrowing some ideas from decomposition and hypervolume. In this paper, the optimal hypervolume performance of the CAEA with an infinite number of sub-problems is proved through the squeeze theorem for limits. Experimental results on several bi-objective optimization problems have shown that not only CAEA performs much better than NSGA-II and MOEA/D in terms of efficiency, but also CAEA with a larger number of sub-problems has the better hypervolume performance.

This paper introduced a new modular multi-level converter (MMC), which could enhance the voltage and power level by sub-converter modules in series and was easy to extend to any level of output. Its structure and working mechanism were described. By analyzing the performance of STATCOM based on MMC working conditions in the reactive power compensation, this paper studied compensation control theory in reactive changing conditions. To obtain compensation control response speed faster and better compensation effect, a compensation control strategy was proposed based on direct current control mode. The simulation results show the strategy has a better tracking precision and response speed for the reactive power compensation.

To identify the intestinal microflora diversity of transgenic sheep and non-transgenic one with overexpression of foreign antiviral gene (VP1 & SB-SW), DNA of total bacteria were extracted from 16 sheep fecal samples (4 non-transgenic sheep, 6 VP1 transgenic sheep and 6 SB-SW transgenic sheep). And then PCR amplification with bacterial universal primers of V3 variable region of 16S rRNA were taken to get the fingerprint profile by denaturing gradient gel electrophoresis (DGGE) technology. The results showed that the DGGE profiles of the 16 fecal samples were highly polymorphic. The number of DGGE bands, considered indicative of the total species richness, did not vary predictably among the three different samples. The DNA sequences were analyzed and the dominant bacteria in sheep fecal were found to beBacteroides,Clostridium, andRuminococcus.Specially, non-transgenic sheep had moreAlistipesfinegoldiiandClostridium lentocellum, transgenic sheep with VP1 had moreClostridiumdrakeiandClostridium populetiand transgenic sheep with SB-SW had moreBarnesiellaintestinihominisandClostridium ljungdahlii. So the PCR-DGGE technique can be applied to evaluate genetically modified (GM) animal potential risks to the environment.

Lactic acid bacteria H6 was isolated from dried yak jerky by plate dilution method, and using theListeria monocytogenesas indicator, the Oxford cup method was used to test the bacteriostasis effect. Lactic acid bacteria H6 were identified asPediococcus pentosaceusby 16S rRNA sequence. The growth curve ofPediococcus pentosaceusH6 was determined by Turbidimetry, and the antibacterial activity of bacteriocin H6 was measured by two fold dilution method and the Oxford cup method. Studying on the thermal stability and pH stability, our results indicated that the barteriocin H6 has better antibacterial effect in acidic conditions or at 100 °C for 90min. The antibacterial spectrum of bacteriocin H6 proved its good inhibitory effect on proliferation ofListeria monocytogenesand other Gram-positive bacteria, and had a certain inhibitory effect onEscherichia coliand other Gram-negative bacteria, showing a broad-spectrum antibacterial property, which demonstrate its great potential in food preservation

Now carbon steel is used in the engineering aspects and it is the oldest and the largest amount of basic materials. How to determine whether they are high-quality carbon steel? In this paper the standard data of high quality carbon steel by using the classical BP neural network algorithm is researched. Then it is simulated and predicted. The final comprehensive evaluation and analysis show that the neural network model can be used to decide whether it is a high quality carbon steel. Further, it has a good practical application value for utilizing high-quality carbon steel rationally.

The paper researches on the comparison of two metrics methods under Riemannian metric and under Log-Euclidean metric respectively. Firstly, Experiments are done for comparing the distance and mean values worked out under the two metrics. And the time required for computing under these two metrics is also shown. Lastly, the two methods are applied to the field of image tracking. The performance of the two methods is compared, and the time required for tracking each frame is gained. Experiments results show that the two methods can gain similar distance and mean values, and similar tracking results, while the time required under Log-Euclidean metric is less than under Riemannian metric.

This Land desertification has been a worldwide ecological and environmental problem. It is the significance for effective remedy of land desertification to monitor the desertification ,know well the present situation ,intensity as well as dynamic variation rules of the desertification. In recent years, remote sensing has become an important technology to monitor land desertification.Firstly, we summarize the research progress in monitoring land desertification using remote sensing data acquisition.Then, we discuss about themethods to extract information of land desertification from remote sensing image, which includes artificial visual interpretation, supervised classification, unsupervised classification, hierarchical decision tree classification, neural network classification and spectral mixture analysis£¬and also we comprehensively compare the strength and weaknesses of each method. Finally, We point out the problems in the remote sensing technology application to land desertification monitoring and put forward the development prospects in the application of remote sensing to monitoring land desertification.

According to the input and out put of the marshalling stations operating work, the thesis establishes the evaluation index system of the operation efficiency of the marshalling station, then it use the fuzzy DEA model to evaluate the efficiency of marshalling stations operation. At last, the thesis chooses 3 kinds of marshalling stations to calculate their operation efficiency, then compare and analysis them to prove the reasonable method.

The influence of accelerator M and accelerator NS on dynamic properties of NR vulcanizate was investigated by using rubber processing analyzer (RPA), flexometer and Nuclear Magnetism Resonance (NMR). The results showed that the degree of crosslinking density of NR vulcanizate by using accelerator NS was higher than NR vulcanizate by using accelerator M, the response of dynamic properties of vulcanizate to frequency and temperature was different, and the NR vulcanizate cured with accelerator NS had lower heat built up than NR vulcanizate cured with accelerator M.

Considering the process of objects imaging in the camera is essentially the projection transformation process. The paper proposes a novel visual tracking method using particle filtering on SL(3) group to predict the changes of the target area boundaries of next moment, which is used for dynamic model. Meanwhile, covariance matrices are applied for observation model. Extensive experiments prove that the proposed method can realize stable and accurate tracking for object with significant geometric deformation, even for nonrigid objects.

In his paper, we analyzed the cellulosic ethanol lifecycle, and CO2 emissions in straw planting stage, transport stage,production stage and the final dispose stage which based on the 2001-2010 tenyears of straw resources in Tianjin. Thecalculation is that 0.92-1.1 million tons CO2 is discharged in the cellulosicethanol life cycle

To investigate the pure conditions of exopolysaccharides produced by Lactobacillus paracasei KL1-Liu from Tibetan Kefir, and to analyse the structure, we used Multi-level single-factor test to purify EPS by Sepharose CL-6B. And the purity of EPS was detected by UV scan and high performance liquid chromatogram (HPLC). EPS molecular weight and monosaccharide composition were determined by HPLC. Results: Adoption phosphate buffer gradient elution 0.02-0.10 mol/L, the velocity 0.25 mL/min, the sample concentration 1.0 mg/mL, the sample capacity 1.0 mL. Under this purification conditions, components EPSa and EPSb were obtained. The purities of EPSa and EPSb were 82.82% and 91.74% respectively, which were 1.4 and 1.5 times of the pre-purification. Purity Test results showed that EPSa and EPSb polysaccharide were single components, basically no nucleic acid and protein in them. Structural analysis revealed that the molecular weight of EPSa and EPSb were 4.60×104 Da and 2.12×104 Da detected by HPLC. EPSa monosaccharide components were glucose and rhamnose, and the molar ratio was 1:0.68. EPSb were composed of glucose, xylose and rhamnose, and the molar ratio was 1:0.77:0.69.

Nattokinase is a potent fibrinolytic enzyme. The composition of the medium for nattokinase production was optimized respectively. Effect of glucose concentration on nattokinase activity and optimal glucose concentration in fermentation process were investigated. L9 (33) orthogonal array design was applied to investigate the effects of Na2HPO4 to NaH2PO4 ratio, CaCl2, MgSO4 on nattokinase activity and search for the optimal concentrations of the three inorganic salts. The results showed that Na2HPO4/NaH2PO4 was the main factor to affect nattokinase activity, then was CaCl2 and MgSO4 in turn. The optimum concentrations of liquid fermentation medium components were as followed: glucose 1% , Na2HPO4 to NaH2PO4 ratio 0.4% : 0.1% , CaCl2 0.01% and MgSO4 0.1%. Under the optimal conditions, the nattokinase activity was equivalent to 871.56 urokinase IU/mL. To mask the smelly flavor, the nattokinase powders were encapsulated. The research will be helpful to the development of nattokinase products.

In order to improve the utilization rate of library seats, lots of libraries now begin to use seat management systems, most of which are mainly based on fixed touch screen terminals and users are required to operate locally. In order to solve this problem, here we put forward a solution based on the mobile phones, panel computers and other mobile terminals. The terminal solution to the seat management system in this paper is based on android system which is a mainstream operating system for mobile devices. The new solution has advantages such as low cost of deployment, fast response, convenient use and so on; moreover, the new solution can be applied to other fields such as car parking management.

A novel technique using solar power to irrigation was proposed. In order to obtain better sensitivity, small dense probe, single strand copper probe, bifilar winding type probe and rectangular cross section type probe were designed. Through the experiments, the electrical resistance of four kinds of probe structure was determined. Test results show that conductivity of small dense probe is the worst, conductivity of single strand copper probe is better. Graphite content has great influence to probe resistance value, resistance and graphite content in the relationship is not linear.

Cholesterol-lowering strains were obtained by high throughput screening technology and ortho-phthalaldehyde method. We used oxford cup method to screen again to obtain strains of high yield bile salt hydrolase and illuminate action mechanism ofLactobacillusreducing cholesterol. Screened six strains had the ability of high yield bile salt hydrolase and good ferment ability. The results of identifying bacteria species: strain KTxKL1J1 wereLactobacillus casei, strain Tx wasStreptococcus thermophilus, strain KS4P1 wereLactococcus lactis subsp.lactis, where the last two bacteria were strain of high yield bile salt hydrolase to be few known in literature. This work showed that dissociation bile salts and cholesterol conjuncted sediments by bile salt hydrolase decomposing conjugated bile salts.

This paper studied the differences of pulping performances, beating characteristics and strength properties between green liquor pretreatment-Kraft pulping and conventional Kraft pulping based on previous optimized pulping conditions. The green liquor pretreatment-Kraft pulping has higher yield, lower Kappa number, reduced residual effective alkali and decreased viscosity. Green liquor pretreatment improves pulp strength properties although green liquor pretreatment-Kraft pulp has beating characteristics similar to conventional Kraft pulp.

The soda pulping modified by green liquor pretreatment was adopted to explore optimal green liquor pretreatment conditions. Results shows that optimum pretreatment conditions are as follows: max temperature, 130°C; holding time, 90min; wood to liquor ratio, 1:4; and green liquor charge, 0.9L/kg. Pretreated reed was pulped under following conditions: heating-up time, 60min; maximum temperature, 160°C; holding time, 60min; NaOH charge, 20% (pretreatment alkali included). Results shows that this process produces pulp with screened yield of 49.05%, Kappa number of 14.6, and viscosity of 1274mL/g. Compared with the results of industrial simulation pulping (21% NaOH), screened yield increases by 2.14%, Kappa number decreases by 5.6 and viscosity rises by 556 mL/g. Therefore, green liquor pretreatment before soda pulping improves pulp performance and yield. Meanwhile the pretreatment utilizes material effectively, thus has practical significance to decrease alkaline consumption and pulping cost.

Strawberry is among the most perishable fruits and vulnerable to physical injuries and fungal invasion. To explore the effects of bacteriocin treatment on strawberry preservation, the inhibitory effect of bacteriocin produced byLactobacillusonBotrytiscinereawas investigated. Meanwhile, the variation of weight-loss ratio, total soluble solids (TSS) and vitamin C content were determined after treatment of bacteriocin on field-grown strawberry. The results showed that spore germination ofB. cinereawas significantly inhibited by bacteriocin at volume percentage of 20%, and bacteriocin inhibited increasing of weight-loss ratio, maintained more ascorbic acid, kept taste of strawberries. Therefore, bacteriocin is a kind of high efficiency natural preservatives and can be applied to the fruit preservation.

Reasonably effective methods of FRP strengthening can dramatically improve the ultimate bearing capacity, ductility and seismic performance of reinforced concrete frame joints. This paper, based on domestic and foreign experimental research and finite element numerical simulation which are working at improving bearing capacity and seismic performance of reinforced concrete frame joints, analyzes mechanism and performance factors of RC frame joints reinforced with FRP material, concludes with basic ideas and methods of FRP material RC joints, together with the direction of continuing studies.

Fe-Ce-N tri-doped TiO2photocatalyst was prepared by sol-gel method using tetrabutyl titanate as precursor. The optimal doping amount and calcinations temperature were determined. The prepared catalyst was characterized by X-ray diffraction (XRD) and UV-Vis diffuse reflectance spectroscopy, and the photocatalytic activity was evaluated by means of the degradation for methyl orange (MO) under UV light and daylight irradiation. The results indicated that the optimal doping amount was 1.0% N, 0.25% Fe and 0.05% Ce, and the appropriate calcination temperature was 400°C. XRD analysis showed that TiO2existed in anatase phase completely. UV-Vis adsorption spectrum showed that Fe-Ce-N tri-doping resulted in a intense adsorption in the near UV and visible-light region and a red shift in the adsorption edge from UV range to visible range of 400-500nm. The photocatalytic activity of Fe-Ce-N tri-doped TiO2under UV and daylight irradiation was very higher than that of bi-doped Fe-Ce-TiO2, Fe-N-TiO2, Ce-N-TiO2and undoped TiO2. The significantly higher activity of Fe-Ce-N tri-doped TiO2may be due to the synergetic effect of Fe, Ce and N in the tri-coped TiO2.

The conventional velocity analysis and normal moveout (NMO) are based on hyperbolic event, but the assumption of hyperbolic travel-time only applies to the situation where offset is less than or equal to the depth of reflecting interface. In recent years, in order to explore the new domain in deeper region, acquisition and processing about seismic data are developed rapidly. Maximum offset of acquisition has been reached or more than 8000 meters, and the coverage reached 100 times too. So the conventional hyperbolic normal moveout is not suitable for long cable acquisition. To solve the problems led by long array, this paper introduces the long array non hyperbolic NMO method, and it works well both in the model and practical data.

Surface modified nanocrystalline cellulose (NCC) was prepared by silicon-69, and then blended into natural rubber latex to prepare nanocomposites. The nanocomposites properties of tensile properties, tear strength, morphology and thermal dynamic mechanical properties were measured by mechanical property testing, scanning electron microscopy (SEM), and dynamic mechanical analysis (DMA), respectively. The results showed that modified NCC is homogeneously distributed throughout NR matrix, which leads to the enhancement on mechanical properties. Moreover, the storage modulus (E) of modified nanocellulose filled NR is higher than unmodified nanocellulose filled NR, and the tanδ is reversed.

In this paper,we first discuss the main distinct advantages of MEMS as well as the important differences between MEMS and IC,then some latest research progresses on biomedical, optical and automotive applications of MEMS are briefly reviewed. Finally, possible future developments of MEMS are prospected.

In todays information age, information is wealth, especially the rare but significant chance information for human decision making. And the significant chance information is usually gained by analyzing the scenario graph which is generated by processing the data with a data mining algorithm. So the data mining algorithm is critical to create scenario graph and to obtain valuable information from mass of data. IdeaGraph is a data mining algorithm that not only works on discovering rare and significant chances, but also focuses on uncovering latent relationship among them, it can generate a rich scenario graph for humans comprehension, interpretation and innovation. In this paper, an experiment about residential building development case is performed to evaluate the effect of IdeaGraph in this field.

In order to solve technical problems which restricted coal mining operation, such as low penetrability of coal mass and low efficiency of gas extraction, according to geological mining condition of Yuyang Mine, Crossing Borehole Hydraulic Fracturing system was designed and investigated in N3704 west gas tunnel (below). The system was based on coal or rock mass hydraulic fracturing theory and gas flow theory. Through the experimental study of fracture and analysis of fracturing effect after inspection, the result of field test shows that Crossing Borehole Hydraulic Fracturing system could improve the gas extraction efficiency significantly. The test result provides a basis for hydraulic fracturing operation in other mines.

According to the modular parallel mechanism and characteristics of a hexapod robot with single drive and tripod gait, we set up a dynamics model and study the relationship between the crank shaft angle and drive torque, which is based on the motion theory of modular parallel mechanism, Lagrange theorem, motion equations, etc. After that, a virtual prototyping model of robot is established based on ADAMS simulation software. The rationality of the analytical method is validated, which provides important theory insight for the control system of robot movement.

Configuration of handling equipment in railway container terminal during operation is vital for improving economic performance and raising competitiveness. Aiming at reasonable investment of handling equipment in railway container terminal, Binomial probability is built analyzing relationship between owned equipment, equipment attendance number and serviceability rate. Equipment dispatching assurance rate is discussed. A case is studied to testify the model. In the case, a table of probability distribution of the number of the equipment used is listed to achieve the best number for attendance equipment, the number of owned handling equipment with different serviceability rate and best equipment attendance number is tabulated for searching the best equipment attendance number. The result is operable.

The thesis states the building lighting regulated system composition, basic functions and work processes. Based on the compensation principle, making use of transformer controlled voltage source and the controlled current source model, the thesis analyzes the principle of the system voltage. According to the illumination and life span character of the lighting lamps and lanterns in different voltage, the thesis gets the optimal power supply of building lighting system electric lamps and lanterns. Finally, the building indoor lighting using optimal power supply voltage lighting and energy saving rate of building exterior wall using time-varying stabilized voltage control scheme are analyzed and calculated.

Pineapple leaf fiber (PALF) was pretreated by sodium hydroxide, and hydrolyzed by sulfuric acid to obtained nano-cellulose (NC). The SEM showed that size of NC is 30-50nm. Bis[3-(triethoxysilyl)propyl]tetrasulfide (Si-69) was employed to sueface modificate the NC. The results of characterization of particle size, zeta potential, FTIR and contact angle illuminated that particle size of surface modified NC was smaller than NC and zeta potential of -75.8mV was lower than NC’s. The hydrophobicity of surface modifiedNC has been improved.

In this paper, the method of wavelet domain adaptive filtering was used to de-noise NMR echo data. Numerical simulation was used to compare the relationship between the SNR of NMR echo data and the results of T2 spectrum inversion before and after the de-noising procedure. The effectiveness of the wavelet domain adaptive filtering in the de-noising of NMR data was demonstrated. Compared with the traditional wavelet threshold de-noising, this adaptive de-noising method can obtain higher SNR results without the loss of useful signal.