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In this work, the novel Ti-based composite material has been synthesized, characterized and studied for the photocatalytic degradation of methylene blue(MB). The effects of the doping amount of La and N, calcination temperature and time, light intensity were studied in detail. The strong synergism of La, N and TiO2 was discussed during the photocatalytic process. The results suggested that the degradation efficiency was obviously improved by the Ti-based photocatalyst and the La element could enhance the photocatalytic degradation performance significantly, and the best molar ratio of N and TiO2 was 0.000014:1. The study found that the best preparation conditions can also improve the photocatalytic activity, the optimal material was made after calcining for 4h at 800°C. What is more, the higher illumination power was benifit for the degradation of the MB. It is indicated that the mixed crystal Ti-based composite material being an effective adsorbent for the elimination of the contaminated water by dyes. In addition, the work provide new direction for future research.

Photocatalytic degradation kinetics of methylene blue in aqueous solution was systematically investigated using Ti-based composite material as the photocatalyst. The single-variable-at-a-time ( SVAT) method was employed. It studied the individual and synergistic effects of several classical parameters on photocatalytic efficiencies. The kinetic mechanism was systematically explored. The kinetics effects of the doping amount of La and N, calcination temperature and time, light intensity were studied in detail. The factors on the degradation of MB were in accordance with the pseudo first order kinetic model. This kinetic model followed the Langmuir–Hinshelwood model. The best preparation conditions were found in the experiments. It is proved that the Ti-based composite material is an effective adsorbent for the degradation of dye contaminated water.

Analyzing the related literature at home and abroad, this paper summarized the results and shared them with reasearchers involved in the field on the recycled aggregate concrete (RAC). In this paper, the durability of RAC will be described from the following several aspects: absorption, chloride permeability, freezing and thawing resistance, carbonation, the sulfate corrosion resistance, drying shrinkage, creep and abrasion resistance. This paper expounded the present situation and progress in the study of the durability of recycled aggregate concrete.Then, some key technical problems needed to be studied were pointed out and many suggestions were put forward.

This paper analyzed the theory of free bus, established the impedance function and improved the Logit model to predict the free bus sharing rate. Through instances, the model is verified to be scientific.however, It also have a certain deviation between the mode and the truth.That is because inhabitants all have their own concepts and preferences, and the “Curious Psychology” to the new means of transport also has a fearful attraction.

A novel composite framework of Cuckoo Search (CS) and Particle Swarm Optimization (PSO) algorithm called CS-PSO is proposed in this paper. In CS-PSO, initialization is substituted by chaotic system, and then Cuckoo shares optimums in the global best solutions pool with particles in PSO to improve parallel cooperation and social interaction. Furthermore, Cloud Model, famous for its outstanding characteristics of the process of transforming qualitative concepts to a set of quantitative numerical values, is adopted to exploit the surrounding of the local solutions obtained from the global best solution pool. Benchmark test results show that, CS-PSO can converge to the global optimum solution rapidly and accurately, compared with other algorithms, especially in high dimensional problems.

Sediment was important storeroom of pollutants and acted as the"source"and the"sink"role [1-2]. Phosphorus not only was a important biogenic elements but also a major limiting factor of water eutrophication.Primary productivity of water bodies was effected by phosphorus migration and circulation in interact of sea-land[3]. As we all known,crustal abundance of iron was 6.71% and ranked fourth, it was trace elements that played an important role in activities of human life, meanwhile ,growth of planktonic algae was limited by iron. Iron has a strong absorption features because of its oxide surface features .Circulation and transformation of phosphorus were effected by geochemical cycling of iron[4-6]. Studies have shown[7-8]that total of phosphorus and iron can be used as an important indicator what evaluated the degree of pollution. Released phosphorus of sediments was an important factor that effected nutritional status of water bodies. TP through physical,chemical,biological effected were combined with andiron and other minerals. So, determinating TP and TFe of sediment and analyzing its relevance were very important, it could further reveal the pollution status of water and analysis the pollution trends .

This article introduced the up-to-date research progress on the tool-soil interacting problem of tillage; and investigated the situation of constitutive relation usage in the finite element method (FEM). A review including the dynamic effect on the performance of tillage operation with FEM has been conducted. It showed that the virtual reality method with FEM had made much progress in evaluating the tool draft, distribution position of stress and strain, displacement fields and acceleration in soil-tool interactions, soft ware package of computer aided design of tillage tools; it will be a low cost and high efficiency assistive tool in the development procedure of tillage tools, and can be applied to study and analyze the performance of resulting prototypes.

The paper discussed the extraction process of rubusoside from Rubus suavissimus using a new technique named cellulase pretreatment approach. First, the parameters of cellulose which generate the optimized condition for the extraction of rubusoside from Rubus suavissimus were identified. Under the most optimal condition, the extraction efficiency is maximal. The parameters include pH value,temperature and enzyme-substrate ratio. Second, single factor experiment and an orthogonal test then could be conducted to obtain the optimized condition for the extraction process with the assistances of cellulose. The parameters under the optimized condition were determined as following: ethanol as solvent, 1.2% cellulose, 40°C, pH 4.8 and duration 25 minutes. The result shows that the extraction efficiency of rubusoside is 10.81%.

The right measurement of network time delay is the basis of a good network service. With the research on the IEEE 1588 precision time synchronization protocol and MPLS (Multi-protocol Label Switching), a method to realize the network time delay measurement in the MPLS network is introduced. It is also pointed out that this method has very important significance for the rapid deployment of network and the network quality evaluation.

The objectives of this work are to evaluate the performance and analyze the factors which could be having an influence of vibration subsoiler in cultivation, and to envisage and design the measurement and control system based on the existing research in the soil bin test platform. The system consisted of three distinct subsystem: a subsystem for controlling subsoiler based on a AC variable frequency motor at oscillating frequency of 0-60Hz and amplitude of 10mm, a ‘complicated box’ subsystem for getting data from various sensors which were distributed in each part of the system under test and an analysis system with a mobile-friendly interface on PC base on labview software. Finally, the kinematic and dynamic analysis of the subsoiler were studied on the basis of single-factor and multi-factor experiment, and experiment results showed that the frequency factor suggested a coupling of the influence of the soil, the subsoiler and the operating conditions.

To improve the security of linkages, it is necessary to validate the mechanism. Through the Pro/E software the link mechanism was created and carried out pre-processing in ANSYS to get a flexible linkage files, then imported to ADAMS to build rigid-flexible coupled body and proceeded dynamic simulation, finally outputted the boundary load files to ANSYS to calculate the stress and strain of linkage mechanism. The results showed that the linkages to meet the safety of the design.

In order to utilize the geological archive in Anshan, this paper analyzes the functions of management system, designs the scientific data model for the backend enterprise database and the system's architecture. The target system uses Web services as basic components to implement the spatial data analysis and property computing and shows the result in a browse or desktop application. The information system can perform the comprehensive management and utilization of geological archive. It contributes important reference value to the further development of geological data.Sponsor by "Key Laboratory of Geological Information Technology, Ministry of Land and Resources"

In order to automatically expand high quality polarity adjectives as much as possible by using the WordNet, three types of query strings are used in this study. Among them, the third type of query string is the most important. Besides ‘synonym’ and ‘antonym’ relations, we also use ‘similar to’ and ‘also see’ relations of the WordNet. In fact, the last two relations are more important than the first two ones. With the help of the newly proposed method, we can calculate the sentiment intensity of those expanded adjectives exactly. Abundant experiments demonstrate that our improved POAE algorithm is very effective in expanding and ranking adjective seed list in the sentiment analysis.

The circular actuators of dielectric elastomer are a type of basic configurations [1]. A pre-stretched polymer film with an annulus electrode will be investigated in this work. The deformation along the radius was be proved to be inhomogeneous [2]. We study the inhomogeneous properties of circular ring actuators based on the ideal dielectric model and meanwhile obtain the failure modes of tension loss which will occur under different geometric parameters. For this type of circular actuator, the loss of tension will occur before electric breakdown. The method illustrated here is generic and can be applied to other complex circular configuration. The results will contribute to the further improvement of DE.

Crystal Eco-brick is a new ecological generality of decoration material. The shell is a key component of indoor stereo virescence concept combined with interior decoration materials. After crystal Eco-brick shell design had been finished, related technology research as well as development for the first, the second and third generations productions were done. The third generation of Crystal Eco-brick shell reached excellent characters such as strong universality, simple operation, high strength, more suitable for indoor afforestation.

MgxZn1-xO films with hexagonal structure are prepared by radio frequency (rf) magnetron sputtering on Si substrate. The refractive indices and absorption coefficients of these films in the wavelength range from 300 to 800nm are determined by using ellipsometry at room temperature. The results show that the refractive index increases as the wavelength decreases in the transparent region (400-800nm). It reaches its maximum value around 340nm and 331nm, which is close to the fundamental absorption edge. Then the refractive index decreases as the wavelength gets shorter. The value of the refractive index is also a function of the Mg content. The higher the Mg content is in the film, the smaller the refractive index of the film is in the wavelength range from 330nm to 850nm. The band gap energy of the MgxZn1-xO film is obtained by analyzing its absorption spectrum. An increase in the Mg content causes the fundamental absorption edge to shift toward shorter wavelength. In addition, UV and strong blue emission have been observed when the MgxZn1-xO film is excited with light wave of 260nm at room temperature, and the emission mechanism is discussed.

The aim of this study was to synthesize a serious of biodegradable elastomers by photocurable reaction as a potential biomaterial for the delivery of protein drugs. The macromonomers was prepared via ring opening reaction at 140°C later methacrylic acylated at 50°C. The optimal conditions were investigated and the property of the two macromonomer precursors were characterized via GPC and 1H-NMR. The cross-link degree of the elastomers can be adjusted by changing the concentration of photoinitiator (DMPA), furthermore influence the elastomers’ degradation rate. it could provide more appropriate choice for the elastomers in application.

Swing vane compressor (SVC) is a novel rotary compressor, which is structurally simple with a small size, a light weight and smooth operation. The SVC also has advantages, such as reduced frictional losses and improved mechanical efficiency at high speed. In this paper, a mathematical model including the geometrical, thermodynamic, flow and input power aspects was formulated, which was then linked to an optimization algorithm to search for three main structural design parameters under three sets of design constraints, for an optimum compressor performance with maximum energy efficiency ratio (EER). In the end, the mathematical simulation of the compressor were given and the theoretical optimization study predicted that a large reduction in frictional loss could be possibly achieved, which brings about an improvement in EER of the compressor of about 8.55%.

With the international economic and trade exchanges, biological invasion has become an important factor in the threat of biological diversity and ecological environment. In order to prevent and control exotic species invasion, using of GIS-based geospatial technology to the potential distribution of invasive species risk assessment can provide the basis for ecological management of invasive alien species better, thus reducing the economic losses due to invasive alien species caused to our country. To this point, the study had done a secondary development based on ArcGIS Engine component. It used niche model to analysis and study potential suitable distribution of alien pests in China, conduct a risk assessment to them. The receiver operating characteristic curve was applied to access the prediction accuracy Analyzed the impact of the distribution of invasive alien species` main environmental variables. It provided a theoretical basis for ecological management of invasive alien species.

Nickel-based super alloy, niobium alloy, refractory metal and carbon fiber reinforced composite are the most common structural materials used in aviation and spaceflight fields. Reduced oxidation and corrosion resistance at high temperature are limiting factors to the application of theses materials. Adapted protective coatings such as pure precious metal coatings, precious metal alloy and precious metal composite coatings can be applied on the surface of theses materials. New advances of oxidation protective coating in recent years are reviewed in this paper, combined with some research on the preparation of iridium

In order to reduce bit-rate and still maintain fine distortion performance,this paper proposed a method of LSF quantization based on speech unvoiced/voiced classification. This method use differential LSF parameters from unvoiced/voiced database to train codebook. And using this method can suppress the quantization error propagation caused by directly vector quantization of LSF parameters. Experimental results show that using this method to quantify LSF will have a better quality while allocating the same number of bits.

To improve the algorithm of the structural coupled imaging technique, a method using damped least squares is adopted to calculate the structural component of model updates instead of the truncated SVD solution, which produces multi-physical structural coupling images with high efficiency. A synthetic model test shows better performance and the cross plots reveal a convergence characteristic, which indicates the potential of improved structural coupled imaging algorithm.

When HDFS runs for a period of time, the default HDFS replica placement strategy does not consider heterogeneous nodes and randomly selectes datanodes, so available storage space of each datanode are differenced from several G to tens of G range, HDFS may have some available storage space smaller datanode. If HDFS continues to write replica in these available storage space smaller datanodes,it may cause the failure of replica placement; These nodes run MapReduce tasks, MapReduce task may fail due to smaller storage space available. Therefore, this paper proposes an Available storage space sensitive replica placement strategy of HDFS,this strategy uses available storage space and current number of connections of per datanode to compute evaluation value, then chooses the biggest evaluation value datanode as the best datanode to place replica. The experimental results show that the strategy achieves placing replica in accordance with available storage space of datanode, effectively avoiding the available storage space smaller datanode, reducing the probability of writing replica failed because the available storage space is too small, shorten the file upload time.

In geophysics exploration, using gradient tensor instead of the full magnetic field gradient has many advantages, which magnetic gradient tensor data to better describe small anomalies. However, the measurement of magnetic gradiometer contains a very complex motion noise, separating the motion noise from the signal component is a large challenge. In this paper, we show the expression for the magnetic gradient tensor, and then through model tests proved the Kalman filter good filtering effect.

Red Fuji, Huaniu and Gala were classified by Fourier transform near infrared (FT-NIR) spectroscopy and possibilistic learning vector quantization (PLVQ) which was proposed to solve the noise sensitivity problem of fuzzy learning vector quantization (PLVQ). Firstly, apple NIR spectra were measured by FT-NIR spectrophotometer. Secondly, principal component analysis (PCA) was used to compress the dimensionality of NIR spectra which was high dimensional. Thirdly, fuzzy c-means (FCM) clustering was run to termination to obtain the cluster vectors for PLVQ. Finally, PLVQ was performed to classify the data. Experimental results showed that this classification method was fast, nondestructive and effective for classifying the variety of apples.

Nowadays, continuous sampling data have been widely used in the research field. However, many unpredictable distortion data points, caused by varying reasons, appear in the raw data randomly. Therefore, removing distortion data points are obligatory for raw data processing. The conventional method is the artificial recognition method, which has serious problems when applied to large volumes of data. Another way is the filtering method, which is limited by application conditions, has a bad influence on valid data what people do not expect. In this paper, we proposed an effective interpolation method to remove the distortion point. This method based on the assumption that changes between adjacent points in continuous sampling data are limited. The distortions can be recognized from the magnitude and the change rate and removed. At last, the polynomial interpolation method is used to obtain the final result. Such method has been used in the preprocessing of aeromagnetic data and gets a good result.

Big data is mainly for analytic applications, which puts high requirements on data processing ability instead of computational accuracy. In this environment, software engineering-based methods should be carried out with the goal of data processing and computation. To adapt to the development of various analytic applications in big data era, this paper provides a software design model based on big data, and at the same time, analyzes compiler mechanism of big data programming language.

The paper analyses the significance and value of the old building existing in today's society at first. And next, it expounds the relationship between the new and old building in modern society. And then, it analyzes the problems of the fusion of new and old building which exist in Yichang city during the process of city development. We are researching how to solve the problems of the fusion of new and old building in Yichang city by studying the current relatively successful example of retrofitting the old building in domestic and abroad, and hope it can provide references of the fusion methods of new and old building in the other cities.

The first generation beach cleaner SWQ18 is mainly made of carbon steel and the unloaded weight is heavy. In the beach test, it occurred such problems as a high fuel consumption and the wheels tend to sink in sand. From the perspective of lightweight material, based on RADIOSS Finite Element Analysis (FEA) module in Hyperworks, the auto-body’s FE model was built. By setting the material as 6061 aluminium alloy and analyzing its body stress and modal, considered the problems that how the aluminium alloy resist the corrosion from the sea atmosphere and its stiffness and strength as well, the result shows that 6061 satisfies the operating requirements and is applicable to the beach cleaner body and a feasible lightweighting scheme taking cost and performance in account was reached.

Different regions in Foggy images have different contrast attenuations. This paper presented a defogging algorithm based on Statistical Region Merging. Firstly, we segmented the image by Mean Shift; Secondly, we merged these divided regions through Statistical Region Merging; Finally, we enhanced the contrast of different regions by Dynamic Segmentation Histogram Equalization contrast enhancement. The experimental results show that our defogging method is more effective than other methods.

Port surveillance videos are degraded seriously in foggy conditions. This paper presented a clearness algorithm based on wavelet packet decomposition. Firstly, we extracted the background image from degraded videos and established the updated model; Secondly, we detected the moving objects as foreground images; Thirdly, we defogged these images based on wavelet packet decomposition; Finally, we fused the background and foreground images together. The experimental results show that our method is more effective.

TT&C Resource distribution of SGS mission is a complex combinatorial optimization question. We set up data structure and a SGS model, the model can describe relation between space mission and TT&C resource, it can be solved with genetic algorithms and single mission decomposition method.

By using mapping knowledge domain, this paper analyzes the literature from 2005 to 2013 of user behavior in network community, the results show that with the development of the Internet and the maturity of the social media, the research in this field is increasing. Now, the papers mainly focus on the study of the user behavior, virtual community and online community, and the chief methods are structural equation model and social network analysis, also, they have a deep analyze on trust as an influence factor. First, to have an overall understanding of the research situation, this paper analyzes three aspects as follow: the information of the papers, the author of the papers and the research institutions, second, it focuses on the research frontier and the cited references.

The current system for thermal power system operation stability ball mill, poor uniformity of pulverized coal that often occurs overpressure, breaking coal, over-temperature phenomena such as coal or blocking rational analysis, the use of predictive control, self-optimizing control the principle of the system is to optimize the steel mill, and combined with its control system elaborated feasibility optimized implementation.

The failure of an adhesive-bonded and bolted composite joint under axial tensile loading is investigated. A progressive damage model consisting of a three dimensional FEM accompanying with a three dimensional maximum stress failure criterion and corresponding material degradation model is established to predict the failure behavior of the joint. The predicted failure load and load-displacement curve are validated by the experimental results is obtained. Moreover, the result shows that the discontinuity between two L-shaped laminates is the weak spot and required to be strengthened.

Pork storage time is relevant to its freshness which influences pork quality. To achieve the rapid and effective discrimination of pork storage time, near infrared spectroscopy was used to collect the near infrared reflectance (NIR) spectra of pork in different storage time. The high-dimensional NIR spectra was firstly compressed by principal component analysis (PCA) and then classified by fuzzy learning vector quantization (FLVQ). PCA plus FLVQ is a completely unsupervised learning algorithm which finds hidden patterns in unlabeled data. Experimental results showed that PCA plus FLVQ could classify pork NIR spectra effectively.

Applying photothermal cohesion technology in fresh-air system and air-purifier is a new attempt. In this paper, an experiment of photothermal cohesion technology for the purification efficiency of PM2.5 is performed, and the improved efficiency value of cohesion unit on different wind speed is researched based on the specific devices. The effect size range of the photothermal cohesion was also studied by comparing the count concentration and mass concentration of particulate matter, separately under opening and closing the cohesion unit.

To get better solution by improving the mutation strategy of Differential Evolution algorithm, a fractal mutation strategy is introduced. The fractal mutation factor of the proposed Fractal Mutation factor Differential Evolution (FMDE) algorithm is simulated by fractal Brownian motion with a different Hurst index. The new algorithm is test on 25 benchmark functions presented at 2005 IEEE Congress on Evolutionary Computation (CEC2005). The optimization results of at least 10 benchmark functions are significantly better than the results obtained by JADE and CoDE, and most of the rest of the test results are approximate. This shows that FMDE can significantly improve the accuracy and adaptability to solve optimization problems.

The fracture problems of medium carbon steel under extra-low cycle bend torsion fatigue loading were studied using artificial neural networks (ANN) in this paper. The ANN model exhibited excellent comparison with the experimental results. It was concluded that predicted fracture design parameters by the trained neural network model seem more reasonable compared to approximate methods. It is possible to claim that, ANN is fairly promising prediction technique if properly used. Training ANN model was introduced at first. And then the Training data for the development of the neural network model was obtained from the experiments. The input parameters, the presetting deflection and notch open angle, and the output, the cycle times of fracture were used during the network training. The neural network architecture is designed. The ANN model was developed using back propagation architecture with three layers jump connections, where every layer was connected or linked to every previous layer. The number of hidden neurons was determined according to special formula. The performance of system is summarized at last. In order to facilitate the comparisons of predicted values, the error evaluation and mean relative error are obtained. The result show that the training model has good performance, and the experimental data and predicted data from ANN are in good coherence.

Urban water supply systems are the primary guarantee for life and enterprises to work orderly, according to the requirements of water resource department and the technical feasibility for the management system, the water supply pipe-network information system was designed and developed. The system was developed in C # language and SuperMap Objects as secondary development components. The applicability and weaknesses of the system was analyzed in order to provide better service for the water conservancy work digitally.

Path-based fault-localization technique is proved to be more effective than coverage-based fault localization because of analyzing the semantics of a program. Most previous work focused on investigating coverage-based test-suite reduction approach for fault localization. But it is not suitable for path-based fault localization, because it only analyzes coverage information, and does not take the execution path information of test cases into account. In this paper, we propose a test-suite reduction approach for path-based fault localization. This approach analyzes the concrete execution path of test cases. The experimental results show that the proposed method works well in improving the effectiveness of path-based fault localization.

With the rapid development of information technology, many universities have a relatively complete information platform, and a mass of data resources. Faced a lot of data, how the data is rational used and developed, to accomplish the transformation of knowledge that provide managers with basis for decision making, has become the focus of attention in universities. Data mining technology provide technical support for achieving this goal.

The pointer alias is indispensable for program analysis. Comparing to point-to set, it’s more efficient to formulate the alias as the context free language (CFL) reachability problem. However, the precision is limited to flow-insensitivity. To solve this problem, we propose a flow sensitive, demand-driven analysis algorithm for answering may-alias queries. First the partial single static assignment is used to discriminate the address-taken pointers. Then the order of control flow is encoded in the level linearization code to ease comparison. Finally, the query of alias in demand driven is converted into the search of CFL reachability with feasible flows. The experiments demonstrate the effectiveness of the proposed approach.

According to the monitoring result of wall structure which its depth is over thousand, analyzed the strain of inner and outer edges of concrete and inner steel; Neglect construction factors, by comparing the strain of inner concrete and inner steel, it shows that their deformation is consistently; Using the average strain of inner and outer edges of concrete to check strength adopting method of concrete structure design code, shows that they can meet the requirement.

The rising of the cloud computing and the generation of GIS cloud will promote the development mode of server and client into a new high tide, and with the popularity of intelligent mobile phones and plate computer, mobile will not only the development trend but also the trend of the development of IT, and then the development of intelligent mobile phone for the mobile GIS development will be the future GIS development of one of the main trend. So in our study, we considered how to explore the future wisdom campus mobile end GIS product, from this view, so we choose the system which is today's popular Windows Phone operating , and basing on the the wisdom campus, and design mobile Phone campus GIS system.Our research and development process choose the Microsoft Visual Studio 2010 as development platform, we using c # language for development, and choose ArcGIS Server10 as GIS service server, design and develope the Windows Phone mobile Phone about the mobile Phone campus GIS system. The whole system mainly consists of campus news module, course arrangement module, map query module, my diary module, recent weather modules, the system will convenience users’ campus life, which is also a very meaningful exploration and attempt for the intelligent campus.

Cutting as the highest proportion of the machining process, is developing from the ordinary cutting to high-speed, efficient, high precision and composite. In this paper, considering the importance of machining process data and the timeliness of data acquisition under the existence of a large number of data , we research and establish a data acquisition system under network environment, elaborate the structure and design idea of the system and introduce the key technology in the realization of data acquisition system.

The dry shrinkage deformation of polypropylene fiber mortar was analyzed by ANSYS software and compared with experiment value in this paper. The error of the calculated and experimental results in the 14 days and 28 days are 7.8% and 10.5%. It can be found that the calculated results are in good agreement with test results. The results indicate that the dry shrinkage value of polypropylene fiber mortar is lower than ordinary mortar. Adding polypropylene fibers can inhibit the process of cracking and improve the fracture toughness of cement-based materials.

Software testing run through the entire software development cycle, which consumes more than 50% of the development and maintenance effort. Fault localization is the most difficult and time-consuming task in software testing. Aimed at locating faults automatically in software, fault localization approach locates faults by running suitable test cases, so the quality of the test cases determines the effectiveness of fault localization. Therefore, the studies on test cases reduction approach for fault localization, automated fault-localization approach with high error-detection ability, and fault comprehension approach to help programmers understand the reason why a faulty statement cause failures have great significance for software testing and development. In this paper, the test cases reduction, fault localization, fault comprehension methods and their limitations are analyzed and summarized, and the future developing trend are discussed at last.

The workflow technology is the core of OA (office automation), and the workflow engine determines software quality of OA. We study the main stream of workflow—JBPM, put use of it to OA. We also make requirement analysis of workflow management module, and design and implement it. The result shows that the framework has better stability, lower couple and better maintenance. The system improves the traditional structure of web application component, which makes more suitable to the existing solution of object persistence and system structure of load balance in network.