Abstract:To solve the problems of route uncertainty, inaccuracy of work time, fast changes of the process and fast logistics in the status of discrete production process, a method is proposed that makes the value of production in plan period as the pursuit goals. The completion time node is not needed to be pursued in schedule but the production order. So that enterprise can get the highest value in unit time, namely making production scheduling based on the value density. After determining the bottleneck of workshop equipment, this method ensures that there are enough parts for processing in front of the equipment through scheduling and mixes human resources and equipment in scheduling, making implementation of task changes and lock or refuse of time window in dynamic status. Both the importance of order and time of delivery are considered in order to make full use of the workshop equipment capacity. Each task is computed for only one time, which is especially suitable for rapid production scheduling in dynamics.

Abstract:Aiming at the One-sidedness of face features or hair features to identify gender in the past, a novel method based on fusion of these features for gender classification was proposed. Face internal features were extracted by Gabor wavelet transform which are robust to the illumination change and scale variations, and feature dimensions were reduced by the method of PCA. Hair region was obtained by the method of dynamic searching in the area of face image. Two kinds of external features of hair length and hair surface area were defined and puted forward the method of corresponding feature extraction. To achieve nonlinear fusion of the three types of features with fuzzy neural network(FNN), the gender classification was completed in the Essex face database and a correct identification rate of 97.1% was obtained.

Abstract:Singular value decomposition technique has been widely used among the personalized recommendation system. By matrix singular value decomposition can improve the accuracy of personalized recommendations. The traditional model only do the singular value decomposition of the matrix is decomposed into user feature matrix and item feature matrix, and the prediction score is not considered different information containing a different range of scores. By calculating scores critical value, the scoring matrix split into two matrices, called positive feedback matrix and negative feedback matrix. Then two feedback matrices based on the feature to complete the scoring in the prediction. In the experimental data, as used herein MovieLens data sets, the traditional model of singular value decomposition (SVD) and based on hypergraph singular value decomposition model (HSVD) to improve it. Experimental results show that the effects of PSVD, PHSVD model are better than the original model.

Abstract:Based on the theory of particle system, the simulation of the snow, rain and their real simulation in wind field in the virtual environment was implemented in this paper. The paper firstly illustrated the basic simulation principle of the particle system, and then descripted and analyzed the characteristic of the rain and the snow under the influence of the wind field; put forward the overall train of thought of the rain and the snow simulation. The paper simulated the rain and the snow according to the characteristics of the rain and the snow, the aerodynamics theory of them. By improved the Four-point linear water ripple simulation algorithm, the Eight-point water ripple linear algorithm was adopted to simulate the water ripple formed by the raindrops, atomization factor was applied to solve the fuzzy problem of snow environment.

Abstract:A distributed collaboration design environment is proposed in this paper, based on the analysis of current aerospace products' situation and problems. A sole defined and operated data source, Task Unified Model (TUM), is introduced in the coordinate design environment to commonly describe the knowledge, task, object, personnel and process. The definition of TUM, organization, views conversion and operation mechanism are detailed discussed. The distributed design environment, APEngine, is built on the basis of Eclipse RCP and Web Portal technology, which realized the TUM implementation, live example utilization and operation through the entire product design process. It has been proved in the design and utilization in an aerospace product that research work in this paper is highly useful in engineering application.

Abstract:Multi-channel projection fusion is an important solution of modern exhibition. This paper presents the design and implementation of projection fusion system in museum exhibition, which proposes a new trigonometric function as blending function, which proposes SURF algorithm for feature extraction and image registering processing with optical flow algorithm. Main steps and program chart of the projection fusion are analysed, the characteristics, advantages and disadvantages of this method are explained. The direction of the 3D development is pointed out about projection fusion. The procedure gets the SURF feature point sets and the projection transformation matrix of the photo, then three steps for geometric calibration, edge blending, projection color balance are executed. After field sampling and testing, visual inspection and PSNR data illustrate the good effect of fusion.

Abstract:In this paper, an electronic shopping guide system is designed which includes electronic tag selection, embedded Android system selection, and electronic shopping guide system function module. Also the paper designs the client's two function modules, including commodity promotional information function module, electronic map positioning module. The use of RSSI assesses received signal strength and calculates the RFID label and reader distance, got intelligent shopping cart position by using the maximum likelihood estimation method according to the four adjacent coordinates of the tag.

Abstract:The existence of various CAE engineering softwares improves the simulation efficiency, and also brings out a series of engineering problems at the same time. One of them is how to effectively manage hierarchical simulation process. During the simulation process of mechanical product, the integration of function modules of various engineering software is the key problem to realize simulation task flow. Based on the mechanical simulation features, this dissertation concludes a common mechanical simulation flow, puts forward the concept of Unified Simulation Model, and makes use of Web Services technique in order to make model reused. It has been proved in the design and utilization in an aerospace product that research work in this paper is highly useful in engineering application.

Abstract:Built-in short-message sending interface of Android is not very friendly to users and also relatively simple, not supporting sorting, grouping and other functions. On the basis of study on system architecture and component model of Android platform, it uses Eclipse IDE as development environment, creates virtual machine, completes session management which search by content, folder management and management group which sort by date, name, and so on. It well improves short-message sending function of Android mobile. It can be drawn from the result of use that the system interface is simple to operate, stable to run and convenient to use for user.

Abstract:Institute of Geology, China Earthquake Administration's earthquake disaster and earthquake dynamics simulation system undertakes lots of computation tasks, such as processing of massive earthquake data and earthquake dynamics simulation. In this paper, we will introduce the construction objectives, system architecture, software environment, system operation and maintenance, system application etc., summarize the problems encountered during system operation and maintenance and corresponding solving measures, bring out a series of methods to optimize the parallel performance of HPC cluster system, and analyze the future development and improvement direction for our HPC cluster system.

Abstract:Based on the project of "Production safety collaborate supervision" of laboratory, the article researches and designs the system of cooperative emergency rescue which based on Android OS and is named "Research and Realization of Emergency Rescue Mobile Collaboration System". By extracted the CSCW mode, the passage depicts the cooperative communication which is based on XMPP (Extensible Messaging and Presence Protocol) among rescue groups and the general frame of the system, including the realization of function modules. And at the end, the article discusses concurrency control and the consistency of shared data.

Abstract:With the rapid development of electronic, computer and communication technology and the improvement of people's living standard, people have higher expectations for the home furnishing function. To improve the difficult situation of wiring and maintenance in the most fieldbus system, this paper provides a smart home system solution based on ZigBee Wireless Sensor network. This System includes ZigBee Wireless Sensor network, smart home system gateway and mobile phone end device. Users can master the working state of all the sensors in the nodes intuitively, and they can centralize control the Electrical appliances. And the remote control mode can be realized through a mobile terminal, too. After the test, this system works well and reaches the desired design goal.

Abstract:In order to solve the problems of difficult manual handling, high technical requirement, low efficiency and high cost during the exchange of the cell medium before cell freezing, a design of automatic control system based on STM32 and μC/OS-Ⅱ is proposed. In the system, STM32 is used as main controller to complete the generation of S-shaped acceleration and deceleration pulses for the stepper motor, acquisition of displacement data and analog-to-digital conversion, communication with the host computer, etc. Embedded real-time operation system μC/OS-Ⅱ is applied in the control system, which can realize the multi-tasks running, simplify programming and is easy to extend. Test results show that the system is stable, feasible, and has greatly shortened the test time, which reaches the preliminary requirements of the design.

Abstract:With the development and improvement of the streaming media technology, the traditional streaming media server has been unable to meet the needs of public. In order to improve the capability of the streaming media server, we designed and implemented a recording clip server, which is separated from the traditional streaming media server with analysis the function and structure of traditional streaming media server. We use the modular design approach to implement the corresponding function modules. It ensured that the real-time received of media stream, the right clips and backups of media stream and worked high stable and synchronization. This paper intends to design a recording clip server which could work stable and have good performance by the combination of theory and experiment.

Abstract:The B/S system of J2EE architecture has been the preferred scheme for many companies' procedure in information integration. More and more users are focusing on the stability of the system performance when they do the evaluation of their information system. This article will analyze and summarize the operation risks and problems, by monitoring B/S system of J2EE architecture and obtaining performance operation data in real-time or timing. The author will provide the discussion about how to support and guarantee the stability of the system performance.

Abstract:With the development of internet technology, traditional radio stations are affected by the great influence from web media. After investigation and research on broadcasting industry, traditional radio begins to shift towards new media broadcasting. The current streaming media server fails to switch automatically among multiple audio sources. Furthermore, it is insufficient in control functions and broadcast delay. A new media broadcasting server, against the deficiencies of the current streaming media server mentioned above, is implemented which meets the requirements of new media. We firstly introduce the current researches and applications of streaming audio server and illustrate the specific requirements of the broadcasting industry to the new media broadcasting server. Then we describe the functions of the new media broadcast sever and analyze circular buffer method for thread synchronization model, automatically switching the audio source and remote control method in detail.Finally, the functions and performance of the server are evaluated with experiments. The experimental results show that new media sever reaches the user needs and commercial purposes.

Abstract:Through the analysis and summary against welding enterprises, the production management system of welding enterprises has been designed and developed out. The system is based on C/S (Client/Server) mode and the date platform of Oracle. The purpose of the system is conducting a more accurate surveillance and management of all the materials and processes against the welding production lines of the enterprises, such as the management of welding material and parent metal etc. Through these steps, the system integrates the national inspection standard data of various welding material. The standard date can be modified according to the requirements of enterprise. The function can be provided convenience for QC staff to make out the standards.

Abstract:This article introduces a case of OpenStack High-Availability production that worked as platform of e-business in Internet. The HA architecture support fault redundancy of compute machines and physical network infrastructure, and run in active/active mode to provide load balance capacity and high scalability. Basically it is installed with monitoring software for system alarm, also management tool for log aggregation.

Abstract:In this paper, we propose a progressive iterative approximation (PIA) algorithm for B-spline surface approximation with normal constraint. On the one hand, the discrete data points of the tangent vector, normal vector, curvature and other geometric characteristics are fully applied to the approximation problem of discrete data points, using the two directions of the tangent vector to construct normal constraint can avoid unnecessary fluctuations, and obtain better approximation effect. On the other hand, the number of selecting feature points is less than the number of data points, so the PIA algorithm can be used for the approximation of the mass of discrete data points. The steps in the process of each iteration of the algorithm are independent, which is easy to be applied to the parallel computing, which greatly improve the computational efficiency. Some examples are given to show the validity of the algorithm.

Abstract:In order to overcome the shortcomings of the particle swarm optimization(PSO), an improved particle swarm optimization based on simultaneous perturbation stochastic approximation(SPSA) method is proposed. It embeds SPSA into PSO as a local search operator in the proper time, and makes use of the computing resources available in the optimization process. Numerical experiments for benchmark functions have been done, The results indicate that the proposed algorithm performs better than the existing ones in terms of efficiency, accuracy and stability.

Abstract:In E-commerce recommendation system, "Information overload" on Internet has brought a tough problem, which is how to precisely position users' interest and provide users with accurate brand recommendation. To solve this problem, in this paper, many features which could describe the purchasing behavior of users are extracted by deeply mining large-scale of user behavior logs. A brand preference model was constructed by applying these features into Gradient Boosting Regression Tree algorithm, to improve accuracy of the recommendation algorithm. Experiment results show that, in condition of sparse data, algorithm in this paper can still fit brand preference of users very well, and has significantly improvement in accuracy compared with traditional recommendation and classification algorithm.

Abstract:The fire safety relates to the harmony and stability of universities and college students' lives and property security, while frequency of fire accident on campus is closely related with the fire safety awareness of students. Lotka-Volterra(LV) model is first introduced in this paper, according to the differences of fire safety awareness, awareness of students can be divided into the rational and hazardous on the interaction between the two groups. Secondly, through simulation and analysis of the model to find the balance point in accordance with the actual situation and the ideal target on campus and the results show that the equilibrium state is related with the competitive factors, then through the improvement of the parameters to optimize the model structure. Finally, pointing out that strengthening the construction of university fire safety culture, commencing fire safety drills and other measures timely could control and guide students rational fire safety awareness, inhibit and eliminate hazardous fire safety awareness of students, which can reduce and avoid the security risks and accidents effectively.

Abstract:In this paper, we propose an improved fast detecting algorithm to solve the disadvantages which are the high computation, sensitive to light changes and the speed of moving object of the classical Gaussian mixture model. We extract the complete regions of the motion and the background by using frame different method of choosing the appropriate space. The algorithm reduces the amount of calculation because it just needs to calculate part of pixels. We use different background update rate in the different area of the background to respond the changes of the background timely. Finally, we introduce an environment mutation parameter to detect mutations. Through experiments, the algorithm has made a lot of improvement in the aspects of the instantaneity, the robustness and the stability. The moving target can be detected very well.

Abstract:To increase the accuracy of the neighbor screening in collaborative filtering algorithm, an improved system—collaborative filtering with step screening neighbors (SSN-CF)—is proposed in this paper. This algorithm firstly uses an improved Pearson method to compare the similarity between users. After arranging the data in descending order, the uses' characteristic value is calculated. Only those who surpass the threshold value are selected. Then the system gathers the users who graded the priority set to make up the final neighbor set. Finally the users' grades are estimated and recommendation is made. Experiments have shown that the algorithm can effectively get the most similar neighbor set of target uses. Meanwhile, it is tested that accuracy and stability is improved.

Abstract:It's difficult to make a real time stoppage detection methods based on a point of joint for new type of powerful conveyor belt. The paper proposed novel method based on statistics and image processing technology for identifying joints of powerful conveyor belt of new type. First, this algorithm regards every line of the image as the overall sample. Then it calculates the degree of smoothness of the pixel according to each line's mean value and every pixel' variance of the line. On the basis of threshold of smoothness to find point of joint area can form a rectangle zone to apply erosion and dilating. For recognition joint, we can use two features that variance in this rectangle zone and width-height ratio for this rectangle zone. Experimental results show that this algorithm can better identify joints of powerful conveyor belt.

Abstract:In practical problems, it adopts GMM - UBM as the background model when the training data is insufficient in speaker recognition system. Aiming at large amount of calculation in MCE training algorithm,it improved MCE. The improved MCE algorithm not only can reduce the amount of calculation, but also can get better recognition performance. The experimental results show that, under the different number of gaussian mixture and speakers, the improved MCE algorithm saves more training time than the traditional MCE algorithm, and as the growth of the number of gaussian mixture and speakers, the more time saving. In view of the MAP, MLLR, MAP\MLLR and EigenVoice adaptation ways which used in speaker recognition system modeling, then using MCE algorithm and the improved MCE algorithm, the improved MCE algorithm has higher recognition rate than the traditional MCE algorithm.

Abstract:In this paper, we proposed a method of parking space detection based on covariance matrix. The challenges of parking space detection come from luminance variation, shadow, and the interference of environment. For our solution, first of all, we extract Y-component from YCbCr color space, using Sobel operator for each pixel level with the brightness of the vertical gradient, and then construct the feature vector. Next, we use covariance matrix to describe a parking lot. Finally, we make parking state (free/occupied) with the distance of the covariance matrix measure characteristics. Compared with the previous methods, it has a great advantages of one-collection implement multiple identify parking Spaces, and a strong robustness.

Abstract:Under the increase and upgrade of new foreign military aircrafts and equipment, the traditional management is difficult to manage it and analyze its performance efficiently. To solve this problem, we design and manufacture the 3D visualization software of foreign military aircraft performance. By designing custom controls, the properties and methods of XNA are used under NET Framework. The dynamic loading of 3D aircraft model and appropriate improvements are realized.At the same time, the reference lines and texts are drew and the collision detection is completed. It reduces the size of the database and enhances the performance through storing the path of the 3D model in the corresponding data table. The result shows that human-computer interaction is good and the second load is 98% faster.

Abstract:A rapid the elderly sudden disability detection algorithm based on vision sensor is proposed for solving the problem of failure to detect sudden disability for sitting and lying the elderly. The static elderly is detected by using bounding box selective update policy. In the paper, video grid technology is proposed for dividing video into a plurality of sub-areas. Different frequency and duration of entering the sub-region are counted for establishing a Gaussian model based on duration. Experiments show that the proposed method has smooth running, real time, and without monitoring dead angle, besides it has the ability of fast and stable in detecting sudden disability for sitting and lying live-aloned old people.

Abstract:OWL is a language that depicts semantics of ontology. It does not only provide the strong semantic expression, but presents content that computer can be understandable. In the area of storage and managing mega data, the relevant techniques of relational database are natured. In this paper, the advantages of both are fully taken. It puts forward a storage model of relational database storing OWL ontology. This paper mainly gives design ideas and key interface technologies of the OWL Class storage model. Case studies show that classes that we design can effectively achieve data conversion relationship between the database and the OWL ontology Class.

Abstract:Data objects with mixed numeric and categorical attributes are commonly encountered in real world. The k-prototypes algorithm is one of the principals for clustering this type of data objects. An improved k-prototypes algorithm is proposed to cluster mixed data in this paper. In our method, the concept of the distribution centroid is introduced for representing the prototype of categorical attributes in a cluster. Then we combine both mean with distribution centroid to represent the prototype of the cluster with mixed attributes, and thus propose a new measure to calculate the dissimilarity between data objects and prototypes of clusters. This measure takes into account the significance of different attributes towards the clustering process. Finally, we present out algorithm for clustering mixed data, and the performance of our method is demonstrated by a series of experiments on three real-world datasets in comparison with that of traditional clustering algorithm.

Abstract:The DXF file structure is analyzed and on the basis of the analysis introduces the graphic meta information briefly which ought to be extracted from DXF files. In order to reduce the path length, there is a router optimization algorithm proposed based on genetic algorithms. By comparing the length of the routers, we can see the idle stroke is reduced efficiently and the machining efficiency is improved.

Abstract:In the role of management station group, it is prone to complex privilege management, role assignment problem, diversity, access to low efficiency etc. Therefore, this paper designs and realizes a RBAC management system of Apache Shiro based on open source framework to solve the problem of role management station. First, a comprehensive overview of the principle of Shiro is brought out. Then we design and implement the station group role management function based on Shiro. Finally, users can customize different roles and permissions function, and the whole process is simple and convenient.

Abstract:In practical application of undesirable text information identification, most of the text always have intersection even doped with each other. The nonlinear non-separable problem has brought difficulty to undesirable text information identification. SVM can make a nonlinear problem in the original space into a linear problem in high dimension space by nonlinear transformation. And the key of the SVM is to choose the appropriate kernel function. A single kernel function can not recognize the independent undesirable vocabulary and vocabulary combination at the same time, so the recognition accuracy rate is not high and the Rcall value is not ideal. For the specific application of undesirable text information identification, combining with linear kernel and homogeneous polynomial kernel it structured a new combination kernel function according to the Mercer theorem. This combination kernel function has the advantage of both linear kernel and polynomial kernel, and could identify the independent undesirable vocabulary and vocabulary combination. Then it evaluated the linear kernel, homogeneous polynomial kernel and combination kernel function in the sample experiment. The experimental results showed that the recognition accuracy rate and the Rcall value of combination kernel function was more ideal than other kernel functions.

Abstract:In view of the problems that traditional k-means clustering algorithm faces in dealing with mass data, such as running out of memory, the operating in slow speed and so on, this paper proposes a parallel k-means algorithm based on MapReduce. At the same time, in order to overcome the blindness of the k-means algorithm in terms of determining the initial value, we use the canopy algorithm to improve the insufficient. The experimental results show that the parallel k-means algorithm based on MapReduce has an effect on clustering before and after the improvement, not only the quality of the clustering has been increased, but in terms of processing large datasets. The speed-up ratio of the improved algorithm can get closer to the linear.

Abstract:To increase the diversity of question item arrangement between examination papers in an uniformly organized online examination, this paper proposes a definition of position similarity between examination papers, presents and implements a transformed paper generation model based on position similarity. Experiments show that this model could generate papers with larger diversity on question item sequence compared with the one generated by random arrangement when question items are grouped by item types and difficulty levels.

Abstract:An improved greedy correction method is advanced for overcome the flaw of greedy transform method adopted by hybrid genetic algorithm (HGA). And based on steady state reproduction strategy, the choice method of random selection is advanced. These new methods are combined with genetic algorithm to propose a high-efficient hybrid genetic algorithm (IHGA), and new algorithm was used to solve large-scale 0-1 knapsack problem. By many simulation experiments, IHGA algorithm is compared with HGA algorithm, and how the mutation probability affect the performance of the new algorithm has been studied. The experimental results show that the new algorithm has higher convergent speed and better optimization capability.

Abstract:With the progress of CNC(Computer Numerical Control) technology, CNC system has developed from a stand-alone system to a distributed system. The capacity of the machine storage can't meet the needs of complex numerical control program. Applying NFS(Network File System) service to the distributed CNC system can solve the problem of limited storage space, and is convenient for users to manage the shared files. This paper introduces the key technology of NFS and changes the resource allocation strategy from using IP address to using user information.

Abstract:In order to advance population diversity and ergodic property for fruit fly optimization algorithm, enhance its convergence precision effectively, an algorithm named improving fruit fly optimization algorithm (abbreviated as IFOA) is proposed in this paper. The simulation experiment shows that this algorithm maintains changing in scale and balances the overall and local searching capability. In order to improve the randomness and blindness in choosing SVM model parameter artificially, enhancing accuracy for pattern classification at the same time. A method using IFOA in the field of SVM model parameter optimization is put forward and established. In this method, IFOA is applied into penalty factor and kernel function parameters optimization for SVM, with which the optimal model parameters will be chosen and the optimal SVM model can be established. This model is used in pattern classification research for wine data in UCI machine study database, different algorithms were used for comparison, the result shows that, the improved FOA has a fast speed in convergence and high efficiency in optimization, a better classification accuracy could be reached for IFOA-SVM model. The effectiveness for IFOA in wine database classification is proved thereby.

Abstract:The paper introduces the principles of VIRE algorithm and BVIRE algorithm for indoor location. On the basis of BVIRE algorithm, the paper proposed an improved algorithm based on the weights of the neighboring reference tags (Referred as WBVIRE algorithm). The new algorithm is reset the calculation method of the weights of neighboring reference tags by improving the difference of RSSI between the positioning reference tags and the neighboring reference tags. Then the system calculated a more accurate coordinates to be positioned tags and made better the indoor location accuracy of BVIRE algorithm. Experimental results show that the WBVIRE algorithm significantly improves the indoor location accuracy.

Abstract:The task changes of Complex Network can cause the evolvement of the network, one of the key problems is how to balance the task load to improve the network's performance. The load balancing rules to configure, divide, add and abandon the object were proposed based on the static and dynamic data with regional express network used as the research object. And then the action of the rules to the load balancing in the task planning was studied. The experimental results show that the rules proposed can effectively improve the stability of similar network and promote the rational use of the network resources.

Abstract:In order to fulfill the requirements of high-speed and real-time down data transmission of unmanned aerial vehicle data link, a high-speed data transmission unit based on PowerPC processor and IEEE1394 bus is realized. First, the paper introduces the design requirements of down data transmission system in unmanned aerial vehicle data link. Then it describes the system architecture of down data transmission system and the realization of software and hardware in data transmission unit in detail. At last, the function and performance of data transmission unit are validated through the encirclement of IEEE1394 bus. The experiment indicates that the data transmission unit has the characteristics of simple design, high transmission capability, high reliability and low power dissipation, which has broad application prospects.

Abstract:In the process of oil and gas exploration, seismic data is one of the most important basic data. Seismic data are usually stored by the SEGY standard. With the development of 3D visualization technology in oilfield information, the Large Data Management (LDM) storage format was born to fit the needs of fast seismic line plucking and volume rendering. But the technical details of LDM format are not open. The paper, through customizing the LDM data, analyzing the storage position of each block data, analyses the storage format of LDM in detail, and gives the algorithm implementation, which combined with the basic principle of octree storage. This algorithm, under which the display module is extracted by the seismic profile, saves the storage space, and improves the efficiency of data extraction.

Abstract:To improve the anti-interference ability of serial communication, this paper designs and implements an asynchronous serial communication method. Communication data is encoded in the form of Differential Manchester Encoding. According to the characteristics of Differential Manchester Encoding, this paper designs a logic module to get synchronous clock and receive every bit of data transmitted Based on FPGA. This paper realizes the sending module, encoding module, decoding module and receiving module. The method given in this paper is tested and proved to be stable and feasible.

Abstract:Aiming at the problem that document generation in batch and report technology is overly burdensome and complex in current information system(IS), this paper proposes a document generation method based on aspose and custom template. First, the template document is built, the constant and variable domains of which are divided, and the custom settings for general format of which are completed. Then, the template document is called and initialized by means of aspose component. After actual data filling for the variable domains through aspose component, the document in target format is exported. Many application results show the high robustness and effectiveness of this mothed.

Abstract:This paper mainly studies the relative navigation between two navigation modules, and realizes the real-time measurement of the relative position between the two navigation module. Location result in different coordinate system conversion was been discussed. The navigation module output data was analyzed. The use of C# language procedures realize the extraction of the positioning data in the Visual Studio compiler environment. The two module positioning information was been processed, it calculates the relative position information of two navigation module.

Abstract:Under large amount of data the skip operation made data paging very slow, how to improve the performance of data paging efficiency became an import issue for MongoDB. We came up a where-limit data paging method from analysis of the built-in skip-limit MongoDB data paging method's advantages and disadvantages, and the key factors affecting the speed of the data paging. Changed the rules of query document and used reasonable indexes can improve data paging efficiency. The experimental results confirmed that the optimized query methods in pagination operations could significantly improved the speed.

Abstract:After analysed the welding process and summarized of enterprises production management, a welding information management system was developed, which is based on oracle. This system integrated welding design and management in the production process, then it can archive and manage all documents, especially production data. This paper describes its subsystem that used to the enterprise design department. This subsystem is order to improve the management of welding design department, and improve the efficiency of all kinds of forms preparation. The experience or knowledge of welding related also can be passed down with the system.

Abstract:A monitoring system is designed to control transducer continuously, dynamically and automatically.It also improves the efficiency of the parameter setting. The system uses Labview as a software development platform, achieves the serial communication which is based on Mitsubishi transducer specialized communication protocol and the VISA technology between a PC and a Mitsubishi transducer A700.It can help us control the transducer. The experimental results show that the system can set the parameter of many transducers simultaneously and monitor the working status of the transducers in a master-slave mode.It improves the efficiency of the transducer control effectively. It also has a certain reference value for the servo system maintenance.

Abstract:Aiming at the existing defects of sanitary ceramics in the production, we proposed a method of defect image recognition based on color features of sanitary ceramics. The method established the defect feature library for sanitary ceramics defect image detection, it can fast recognize sanitary ceramics glaze missing image. Through a large number of scientific experiments, defect feature library was influenced by light and background factors. The method of image recognition of sanitary ceramics missing, has quick exactly speed and high precision. This paper provides a new idea for the detection of sanitary ceramic products.