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This paper studies the cutting force at drilling of the stainless steel 10TiNiCr180. The structure of the cutting force relation was modified with respect to the relation available in the technical literature for common steels. The tool speed was included in the calculus relation. The experimental data and their subsequent processing represent the original contributions of the authors to the estimation of polytropic exponents and to the assessment in terms of structure of the calculus relation of the cutting force. The paper also contains graphs for the variation of the cutting force with parameters of the cutting technology. The graphs are drawn based on the analytic relationship of the cutting force, obtained in the paper, using the mathematical softwareMaple. The results presented in this study can be taken into consideration in the educational studies and in the theoretical technical research. They can be implemented in the manufacturing activity. Our further studies aim these problems for another steels classes and cutting machining processes.

The paper is describing an algorithm for randomly generating the orders received by a simulated manufacturing system. Based on a previously defined Petri Net type representation of the product, there is presented the proposed structure generation algorithm.The algorithm was implemented in a graphical programming environment which will serve also for developing the manufacturing system simulator, so the paper is describing the procedures for generating the records from the proposed data structure.Running the implemented procedure generated a product’s structure with the main components graphically represented complying with the data definition to be used in the simulation framework.

The paper presents an application for creating the product's structure in a simulation framework using an algorithm for randomly generating the orders received by a simulated manufacturing system.The application was implemented in a graphical programming environment which will serve also for developing the manufacturing system simulator. The paper is describing the procedures for generating the records from the proposed data structure and for labelling each main product's component.The data is then transformed and restructured for complying with the data definition to be used in the simulation framework: all the transitions representing processing activities are defined and labelled and their input and about places are defined, labelled and structured in an array according with the data definition.

This paper introduces research situation and prospect of nanoimprint lithography technology. The process of three common lithography (Such as hot press printing, UV curing stamping and Micro Contact stamping) is discussed. For getting better quality, the method and main factors of nanoimprint lithography pattern are analyzed. Furthermore, some key problems of the nanoimprint lithography process are solved for the purpose of the further understands for this process. A new way of thinking is provided for development new nanoimprint lithography technology in the paper.

In software design of complex systems, more time and effort are spent on verification than on constructions. Model checking for software verification techniques offer a large potential to obtain and early integration of verification in the design process. This paper describes how to easily specify and the software properties and to understand the software generating automatically invariant. In this paper deal with issue that state invariant is a property that holds in every reachable state. Not only can be used in understanding and analysis of complex software systems. In addition, it can be used for system verifications such as checking safety, consistency, and completeness. For these reasons, there are many vital researches for deriving state invariant from finite state machine models. In this research was to be considered to extract state invariant. Thus it is likely to be too complex for the user to understand. This paper let the user focus on some interested parts (called scopes) rather than a whole state space in a model. Computation Tree Logic (CTL) is used to specify scopes in which he/she is interested. Given a scope in CTL, forward reachability analysis is used to find out a set of states inside it. Obviously, a set of states calculated in this way is a subset of every reachable state. Keywords: Software verification, Invariant, Scopes, Model Checking

The paper deals with the use of the connection lane on the left of running lane. It is all about its impact on improving traffic flow butt junction, shortening the waiting time required for the safe passage of vehicles on side roads and not the least impact on traffic safety at the intersection with the appearance of the lane. The paper also deals with conflict situations that were identified in the survey.

Numerical simulations are widely used for forming processes optimizations nowadays. They significantly contribute to improvement of forgings quality and production costs reduction. The crucial points of the numerical simulations are material input data and implemented material models. The paper is dealing with overview of methods for the input data measurement. There are discussed tests with various options of strain measurements as well as modifications of compression tests. Part of the paper is dealing with 3D strain measurements by Digital Image Correlation (DIC) enabling local strains measurements. DIC enables direct comparison of strains experimentally measured and strains obtained by numerical simulations, which is going to be presented. Finally, possibilities of complex material description considering plastic damage are presented. The last approach is the most accurate providing the most information on material behavior for FEM simulation, the procedure includes measurements on samples of various geometries with various stress strain conditions. Examples of sample sets for these measurements are shown here together with material models describing multiaxial plastic flow and damage.

This paper deals with issue of properties specification for software verifications and translation between formal languages. Through this paper, the unique framework of property specifications including most kinds of formal specifications logics, automatic methods are shown by a property specifications guided system and PVSL(The Pattern based Visual property Specification Language).Additionally, a properties to specify and structures, Interconnection of them are also described by property charts. In this study, the pattern based visual property specification language (PVSL) is defined and property specifications method is also designed by convenience specifications of required property.Required properties can be described by its charts and analyzes its meaning and structures as using patterns diagrams and property and-or tree. On the other hands, it also guarantees stability and limitation of utilizations of patterns using much stronger specifying Dwyer`s meaning based property classification. The PVSL and property charts use hierarchical state machine notation to take advantage of knowledge a person who is one of practitioners has as much as possible, and for Nu-SMV, CW-CNC. They can be adapted to describe property charts and analyze into examples of CTL(Computation Tree Logic) and Modal Mu-Calculus logic that have been already used.Keywords: Patterns, Property specifications, model checking, Software verification

In this paper, several data mining techniques were discussed and analyzed in order to achieve the objective of human daily activities recognition based on a continuous sensing data set. The data mining techniques of decision tree, Naïve Bayes and Neural Network were successfully applied to the data set. The paper also proposed an idea of combining the Neural Network with the Decision Tree, the result shows that it works much better than the typical Neural Network and the typical Decision Tree model.

Optimal algorithm is an important factor for identifying the dynamic load model parameters accurately which with the nonlinear characteristic. The paper adopts the improved genetic algorithm with optimal reservation strategy (OGA) at the beginning and finds that the problem of convergent to local optimal solution is still exist. Considering the Simulated Annealing algorithm (SA) has good performance in respect of local searching characteristic which can prevent convergence from local optimal, so the hybrid algorithm combined with SA algorithm and GA algorithm (GASA) is proposed in this paper. Case studies showed it can improve the accuracy of parameter identification and reduce the P Q fitting errors .The efficiencies of identifying substation load model based on the PMU measure data is proved as well.

It is important to obtain the 3d coordinate in the field of measuring. How accurate, fast, convenient to obtain the 3d coordinate affects the accuracy and reliability of measurement directly. Through studying the basic theories of machine vision this paper focus on the study of a stereo vision measurement model based on the intersecting axis. In view of the parameters in the model of binocular stereo vision, this paper uses the Zhang Zhengyou calibration method to calibrate the system of Stereo vision. In order to test the accuracy of the system, this paper measures the distance of two standard circular. Finally, the machining experiment validates the proposed method.

To study the real-time changes of pedestrian crossing speed, the paper collected a series data at three large intersections in Changchun City. Firstly, using video processing software and artificial statistical methods, instantaneous crossing speed was extracted and calculated. Then the relationship between crossing speed and dynamic density was established. In addition, the paper also analyzed the effect of pedestrian number and its position on dynamic density. At last, a new method of calculating crossing speed was proposed based on dynamic density. The results in this paper provide a better reference for pedestrian signal timing.

This paper concerns the simulation of Mode I fracture with a local concrete damage model in explicit finite element code LSDYNA. A reliable modeling of fracture is essential in the analysis of tension-dominated problems, as well as the prediction of concrete damage due to cracking. A special focus of this paper is placed on an effective representation of the tensile localization in finite element modeling while generalized macro material properties are employed to modeling meso-scale problems. An investigation into the use of a typical damage plasticity concrete model within LSDYNA Explicit, based on the crack band theory, is described in detail. The main focus of the current paper is on the tensile softening branch.

At present, manual method for acquiring discontinuity 2D density is inefficient and error-prone. This paper proposes a digital method based on 3D digital traces model. And Mauldon method has been chosen to estimate 2D density comparing with Kulatilake and Wu method. It makes study on 2D density much more convenient. The results of study with this method show feasibility and efficiency of the new method and Mauldon method for estimating has been tested to be accurate in this paper.

This paper deals with an intelligent multi-sensor monitoring system, which focus on the characteristic of transient occurrence in high speed grinding and its application to the machining of brittle and hard materials. Different sensors are used to collect workpiece vibration, acoustic emission, force and displacement signals, which are used to define the stability of grinding process and monitoring the fault in high speed machining. Although there is a lot of methods have been reported in recent literature for monitoring grinding process, they have not a systematic method which can totally reflect the characteristic of high speed grinding. On the other hand，no single sensor or feature has been shown to be successfully and precisely all grinding faults. This paper combined different feature selection including time-frequency domain or wavelet methods and sensor fusion based on clustering method to deal with the stability condition test in high-speed grinding. The validity of the proposed method and the excellent detection accuracy is demonstrated through tests with SiC machining in high-speed grinding.

During walking, there exist many passageways that make pedestrian flow cross or walk in the other line, resulting in a mixture of pedestrian flow feature in pedestrian area and affecting the pedestrian travel time, traffic capacity and service levels of interwoven region. To solve this problem, this paper establishes the model of pedestrians beyond of basing on the social force model which is on the basis of the traditional model. With the aid of MATAB software, though the comparison of pedestrian passing time in urban rail channel, we verified the improved model in this paper is superior to the previous model and more realistic.

At present P2P is widely applied on the Internet. But it still has a safety hazard because of the special feature of dynamic and anonymity of P2P.This paper designs a model of P2P trust based on fuzzy degree of nodes' credit. It computes the fuzzy degree of nodes' credit according to the historic records and the theory of fuzzy mathematics, and the result is used as the basis of choice of P2P transaction. The fuzzy degree of nodes' credit will be increased and decreased according to the behavior of the node, establishing the dynamic and reasonable mechanism of rewards and punishment. Experimental results show that the model designed in this paper has a better performance in the parts of trade success rate and network load.

Golf has become an increasingly popular sport. Determination of motion parameters of golfball can give quantitative suggestion for players. This paper introduces the principles of determinationbased on Doppler radar. The parameters of golf motion to be measured include velocity, angle, spinangular velocity and position. A golf realtime tracking system is designed with one transmitting antennaand three receiving antennas in this paper. Simulations validate the feasibility and high accuracyof this system. This system makes referential significance for golf realtime tracking system.

In this paper, we try to solve 3D offline packing optimization problem by combining two methods-genetic algorithm’ global performance and simulated annealing algorithm’ local performance. Given Heuristic rules in loading conditions, we use the optimal preservation strategy and the roulette wheel method to choose selection operator, integrating simulated annealing algorithm into genetic algorithm , and achieving code programming and algorithms by Matlab.This paper carries out an actual loading in a vehicle company in Changchun City, then makes a contrast between the final optimization results and each suppliers’ current packing data.The experimental results show that the algorithm has a certain validity and practicability in multiple container packing problem.

In a recent paper, Chang et al. proposed an authentication scheme for E-coupon systems and proved that their scheme can prevent a range of attacks. In this paper, we reanalyze the Chang et al.’ scheme and demonstrate that it cannot resist off-line password attack, masquerading shop attack and masquerading customer attack. Moreover, it cannot achieve two security properties that is anonymity and traceability. Meanwhile, Lee proposed an efficient chaotic maps-based authentication and key agreement scheme using smartcards for telecare medicine information systems. In the scheme, we find it also cannot resist off-line password attack, masquerading attack. Unfortunately, it resists an deadly error. So the scheme cannot run.

Illumination is an important factor to the growth and reproduce of plants. In the process of the plant canopy illumination distribution simulation, it is too complex and time-consuming for single-core computer because of the huge data. This paper has carried on the parallel processing for the Z-buffer sorting algorithm which used for the calculation of the plant canopy illumination distribution in order to speeding up the rate of calculation. The algorithm is transplanted to multiprocessor computers as server and controls the simulation calculation by designing the client-side on the common computers. This design has completed a simulation system based on the C-S mode. It adopts the illumination simulation for the rice in different period using this system and draws the effect picture. At last, the paper has drawn a conclusion that this algorithm is very useful to analyzing plant growth trends and simulating the change of the plant canopy illumination distribution.

This paper presents a lightweight index does not suspend services online update program, and demonstrate the performance of the index update program from the theoretical analysis and experimental data in two ways. A new method of MapReduce existing index methodology based on this design and further discussion are done in the paper, in the index MapReduce and Hadoop MapReduce feasibility aspects, the design flaws through experimentation.

In this paper, we put forward an innovation method of high-speed and real-time error diffusion, which is based on Floyd-Steinberg algorithm. The design introduces LUT(look up table) and pipeline technology instead of complex multiplication operations, which accesses to the memory frequently. The whole design uses Verilog HDL language to program and Quartus ii 8.0 to synthesize and layout. At the end of the paper, we use a 48 pixel as an example, then simulate and verify it on the Modesim, which can prove the correctness of the design. Compared with the standard Floyed-Steinberg algorithm, this design can reduce the computation complexity, use a smaller memory space to exchange lots of logic units and increase the throughput of the algorithm. Besides, it has the advantages of good reconfigurability, simple hardware structure and high real-time.

The paper concentrates on bistatic polar format algorithm (PFA) for focusing the spotlight bistatic Synthetic aperture radar (SAR) data. Exploring the imaging geometry of spotlight mode, a wavenumber vector Kbis derived according to the original definition of wavenumber. The direction of the vector Kb corresponds to the path from the transmitter to the target in the scene to the receiver in the bistatic SAR configuration. Using the vector Kb, a point target position vector in the scene can be expressed as the same form as that of conventional monostatic spotlight SAR. Based on the vector Kb, the spotlight bistatic PFA is derived and is presented concisely. In the simulation experiments, the presented PFA and BP algorithm process the same area target respectively. The result of the experiments show the PFA mentioned in this paper is valid. The quality of the processing result achieved by the PFA is not worse than that by BP algorithm.

This paper researches on the non-contact online detection of concentricity error, which mainly focus on the structural principle of the measurement system and the concentricity error evaluation methods. The paper using the method of projection, converting the three-dimensional model to a two-dimensional model and evaluating coaxially error. And it is validated by the simulation of MATLAB. In theory, the proposed measurement system can measure geometric tolerance, including coaxially error, cylindricity error, circularity error, etc.

This paper analysis the characteristics of High Spatial Resolution Remote Sensing Image (HSRRSI), consider the drawback of pixel-wise Classification, an Object-based method was taken to classify the image. The paper firstly preprocess and coarsely segment the image, secondly optimize the segmented results for deeply processing, then extracting the image feature from the original image and segmented results, finally classify the image and assess the results.

Intelligent Transport Systems (ITS) theory is developed nearly a dozen years which is focused on building integrated transportation system, its success will inevitably have a fundamental change in the way the current traffic works. ITS is a large complex system, with integrated multidisciplinary knowledge to implement. The paper explores a new way of integrating big data insights with automated and assisted processes related to ITS. We show how innovation from China Si Chuan Province Traffic Management Bureau under our big data implementation to improve their business performance. With the new big data algorithm, we could predict drivers' behavior, and ultimately understand which factors are influencing the most. The architecture and implementation is thoroughly introduced in the paper, and we point out the future extension in the end.

In tracking object by a camera, the jolting of the vehicle will increase the deviation of the skewing value of the air object in the image. a method of image stability based on digital inclinometer is presented in this paper. The incline angles caused by the jolting of the vehicle are measured by the angle sensor, and the incline angles are used to eliminate the object image deviation caused by jolting and to stabilize the object image. The method for acquiring the height of object by a single camera is also discussed in the paper during the process of extracting the image deviation. The extraction errors of the deviation are analyzed and simulated; the simulation results show the efficiency of the method.

For the shortcomings of the traditional workflow in flexibility, this paper analyzes the advantages of Role Based Access Control Technology (RBAC) in realizing procedure permission dynamic management. With RBAC applied in it, this paper also constructs the flexible workflow model of Role Based Access Control and gives out the definition of the engine as well as the components concerned. In addition, it also solves the problems of the flexible operation of resource and dynamic assigning tasks in the business process, and applies the engine into the specific business process.

A Chinese web-page classification algorithm based on SVM including the important aspects of text preprocessing, feature selection and multiple-Classification algorithm. In this paper, based on the analyses of features of Web documents, this paper does research the approach of classification in Support Vector Machine (SVM) and select of Kernel function. Furthermore, a web-page classification model and algorithm that is based on Binary Tree SVM is presented. The experiments show that it not only reduces the size of train set, but also has very high training efficiency. Its precision and recall are better.

With the development of mobile communication, D2D (Device-to-Device technology) has become a research hotpot. In this paper, we first derive the channel capacity of an n-hop link and get the formula of spectrum efficiency. And then to maximize the spectrum efficiency, we focus the algorithm of selecting the best relay for data transmission in a D2D cluster of cellular network. The algorithm proposed in this paper is an improvement of the greedy algorithm. This algorithm solves the problem that the greedy algorithm would be invalid in the case of having a big hole in the topology. At last, we could see a significant gain in terms of spectrum efficiency by using the new relay selection algorithm.

Mental model is the key to meet user’s needs, improve effectiveness and reduce critical errors of the interaction in the e-book application interface development. Constructing app function rules based on mental model is a research focus in menu interface design of e-book application. In this paper, college students were selected as target user group with comparison between light users and heavy users. By interviews and observations on users’ behavior of reading e-book and paper book, thus a scheme of function definition of e-book app based on users’ goal and behavior needs was formed, which can be applied to construct interface layout based on college students’ mental models, thus be propitious to enhancing user experience.

The topic of this paper is the short review of current state-of-the-art in the field of material models of concrete and its utilization for numerical analysis of concrete and prestressed concrete structures. The problem of compiling constitutive relations for numerical simulation of concrete structures is not yet closed. It is caused by different behavior of concrete in tension and compression. Due to formation and development of cracks it is necessary to describe material model of concrete in tension as precisely as possible. The paper aims to create a brief historical overview in this field and then aims to create a short summary of current approaches that were published in conference contributions and in journals during recent years.

The paper analysis mean filter, median filter and morphology filter. The paper studied order morphology theory and its filter character. Based on this, the paper proposed multi-scale and multi-structure filter algorithm based on order morphology. The result of simulation shows that the algorithm can not only keep the edge and detail of medical image but also can enhance the contrast of recovery image.

An execution system of distributed performance testing is designed in this paper, which provides a mechanism of node communication, test script deployment, test scheduling, execution-driving and test result collection in distributed environment. A workload model is established, by which testers can describe the performance testing requirement. A performance testing framework is given, which simulates user behaviors in real environment based on virtual users so as to generate workload from the system under test (SUT). It can control the execution of virtual users by TTCN-3 standard interface. After executing the performance testing, test report is generated by extracting log. A method of generating performance test-case is studied by reusing functional test scripts. By executing performance testing on an online bookstore, this paper demonstrates the availability of the method of reusing TTCN-3 functional test scripts and the capability of distributed performance testing system established.

This paper discusses about the analysis and evaluation of different transit fare patterns. In the previous studies, most of the analyses concerned about the transportation economics issues. Recently, the methods of transportation modelling have been widely used in evaluating transit network. In this paper, a bi-level programming model is presented to evaluate the differentiated transit fare structures. The upper-level problem aims to minimize passengers’ total travel cost, whereas the lower-level problem is a stochastic user equilibrium transit assignment model with capacity constraints, which can be changed to different fare structures.

In order to solve the problem of ECG being complex, and the problem of abnormal ECG signal analysis standards being not uniform, this paper analyzes Lin Zetao’s clustering algorithm research achievements in the classification of abnormal heart rate. According to the characteristics of the clustering algorithm which is suitable for dealing with the rare data and the large amounts of data, this paper makes the analysis of the method of setting parameters in key process of the application of the clustering algorithm. This paper proposes an accurate clustering algorithm (LCFCM) about abnormal ECG which combines logical judgment, cluster analysis and fuzzy clustering together. Based on the algorithm design requirements, this algorithm perfects the logical judgment criteria and the key technologies of the ECG waveform vector extraction method. Ultimately, the MIT-BIH database is used as the sample to make experiment. The experiment shows that, this paper proposes LCFCM algorithm, whose accurate rate toward the classification of the abnormal heart rate reaches 93%. And at the same time, the good self-adaptive algorithm on different individuals ECG, has good practical value.

Stereo matching methods are widely used in computer vision and stereo reconstruction, from the perspective of improving the matching accuracy, this paper focuses on the global optimization algorithm. An improved Belief Propagation method is proposed in this paper, by involving more pixels into information transmission, our method improves the accuracy ofstereo matching. The experimental results verify the efficiencyand reliability of our method.

The query of database must rely on professional query language, which is difficult to grasp for ordinary users. Natural language query interface (NLQI) can be applied to solve this problem with better human-computer interaction and intelligence. However, current natural language understanding technology is not mature. Though the query sentences’ structure is fixed, it is also difficult to accurately convert query sentences into understandable database query language for computer. Therefore a method of designing NLQI based on syntax and semantic analysis is proposed in this paper. First of all, Maximum forward and maximum reverse matching algorithms are used to analyse sentence by part of speech (POS) template, which is able to demonstrate the syntax relationship among the words. After syntax analysis, query conditions and targets are identified. Then, single conditions and targets are analyzed to relative standard forms by the relationship among entity, property, connect verb and unit. At last, these standard forms are transformed to SQL sentence. Regarding printing ERP system as experimental subject, experiment is done in this paper. The result shows that the method proposed in this paper can meet the needs of natural language query, and has a good transform effect for combination, omitting and other complex sentences.

In this paper ,a color printing defect automatic online detection method based on digital image processing technique is proposed. The main idea of this method is comparison of defect product and template and it makes up of following key models. Firstly, multi-scale segmentation is applied to composed image which is overlaid by detecting product and template image. Secondly, an automatic region similarity analysis calculation is taken to segmentation obtained in multi-scale segmentation. The color difference between detecting product and template can be calculated accurately. Thirdly, defect detection results can be obtained according to threshold segmentation. Finally, the characteristics and advantages are approved by experimental analysis and discussion. Algorithm parameters are adjusted and modified to improve the stability and effectiveness. Experimental results approve that color printing defect automatic detection method in this paper has the characteristics of effectiveness and applicability. And experimental results indicate that this method has the advantage of judging the defect types automatically.

Hyperspectral remote sensing technology provides a new way to identify red tides types, but many existing methods can’t take full advantage of the spectral reflectance characteristics and often yield false recognitions. So, on the premise of perfect spectral curves library of red tides to be referred, this paper proposes an algorithm based on spectral reflectance characteristics and wavelet decomposition for red tides recognition. The algorithm identify the red tide species by applying wavelet analysis to a certain wavelength range limited by the spectral features. To compare and prove the effect of this algorithm, do simulate experiments with both the proposed method and the traditional SAM method. The results show that, compared with SAM method, the algorithm put forward in this paper can better indentify the species of red tides.

In today's society rapid development of science and technology, the computer figure image design can be widely used in various industries. In the film and television, advertising, exhibition, art, electronic play in areas such as lack of necessary computer graphics design. With the development of computer information technology, the design of the graphics technology will progress. On the technology no longer content with a simple graphics rendering, more note focus on visual sense of the data, enhance the figure shape the image of beauty and expression. This paper mainly discusses the computer graphics design and visual communication design in today's society rapid development of science and technology, computer graphics design has also been extensively applied to various industries. In the film and television, advertising, exhibition, art, video games, and other fields are short of necessary computer graphics design. With the development of information technology, computing machine graphics design technology progress. Current technology is no longer satisfied with the image of a simple now, pay more attention to the visual sensation of biography and enhance the figure shape the image of aesthetic feeling and expression. This paper mainly discusses the computer graphics design and research of visual communication design.

In order to solve signal timing optimization problem of the cross intersection with irregular four phases, this paper presents a new method based on the calculation of lane design capacity. There are five steps of the application in this paper: the collection and simple statistics of basic data; the analysis of present situation; the formulation and solution of signal timing optimization model; the evaluation of optimization results which are based on simulation software VISSIM; an actual example was tested to verify the feasibility of the optimization model.

Synthetic Aperture Radar (SAR) has become one of the important means for the ocean remote sensing detection of oil spills. The existing SAR image segmentation method has the issues of edge blur, poor contrast, non-uniform intensity image, so the segmentation effect is not ideal. This paper presents a variational level set SAR image of oil spill detection method based on fuzzy clustering. First of all, apply the threshold method on initial segmentation of the original SAR image to transform the initial segmented image as fuzzy clustering. Secondly, introduce the clustering results into the initial level set function to achieve the initial contour. Finally, add fuzzy clustering model in the level set energy function to complete the level set evolution process and get the final segmented image. This paper uses the threshold segmentation results to achieve the initialization of the variational level set function profile. In theory, it could improve the level set method for efficiency, and reduce the wrong segmentation phenomenon. The experimental results show that the SAR image segmentation method of oil spill has good segmentation qualities and is suitable for the edge complex image segmentation.

Video server providers invest more and more on the server, for how to provide a stable and low-cost continuous service to users of this problem. In this paper, hybrid architecture in the user how to choose a cloud server in-depth analysis. And how to choose a cloud server for this problem, this paper analyzes the current server selection method, coupled with P2P mode users the ability to upload and server memory on this basis for modeling, then verified through simulation experiments proposed the effectiveness of the method.

Geographic Information Service is open service based on the network environment. DEM should be protected because of its significance. This paper gives three methods for DEM information protecting, they are DEM encrypting, DEM information hiding and DEM Information disguising, and researches their theories and techniques. Then, this paper analyses their differences and relation. This paper could provide theory support for DEM information security research in Geographic Information Service.

Gesture has different speed in the process of movement. To reflect the different speed of the user, this paper presents a gesture speed estimation method. Firstly, we use data glove and camera to establish the relation between the variation of gesture contour and that of gesture speed. Secondly, we build the gesture speed estimation model by stages. Finally, we get the real-time speed of hand motion through this model and complete interactive task. The main innovation of this paper is that we reveal the relation between the gesture contour and speed to lay the foundation for further capture the interaction of user intention. Experimental results indicate that the time cost of our method decreased by 31% compared with freehand tracking based on behavioral models and the 3D interactive system based on our model is of high the user experience.

Collaborative filtering recommendation is a mainstream personalized recommendation method, which has some flaws in actual application. And there are some inaccurate recommendation results in some cases. Considering the relationship of trust and similarity of user preference, this paper introduces trust to recommendation model and considers multi-dimensional factors of user preference, proposes a personalized recommendation method based on trust and preference. The recommendation method can improve the accuracy of recommendation system. Finally, this paper proves effectiveness of this recommendation method through the experiments.

In order to implement non-polar transmission of the data, in this paper, we took a new way to solve the problem by automated correction method, which used the RS485 standard as physical layer protocol, used multi-function meter Convention (DL/645-1997) as implementation layer protocol, and implemented the data transfer protocol in the FPGA platform data transfer protocol. This paper introduced the design way, simulation waveforms and measured results, and solved reserve connection of the traditional polarity RS485 communication.

The Classical MUSIC algorithm points out that in order to distinguish N waves from different directions,an N element array is needed. Therefore, in order to distinguish multi-detect signal simultaneously, an array is needed ,the payload of satellite and reconnaissance aircraft platform is limited , large array antenna can’t be placed, and application of MUSIC algorithm is restricted on these platform. In this paper a MUSIC algorithm with single antenna is proposed using movement of single antenna, the resource-demanding disadvantage of classical is improved.This algorithm can be used on resource limit satellite and aircraft platform.This algorithm is verified efficacious in the paper by simulation.