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The automotive ECU, as a core component of automotive electronics, needs constant update to meet the performance requirements of the vehicle. Traditional methods, which rely on the professionals’ operations to update, cannot meet the development of vehicle network. The authors propose an automotive ECU remote update scheme in this paper. A remote download system that implements convenient and real-time automotive ECU updates is built in this paper. The system takes the mobile phone as an intermediary to communicate between the remote server and the onboard platform. Finally, the feasibility of the scheme is verified via experiments.

Using advantages of PLC, SCADA, inverter, bus and internet in industrial production, in order to cope with the characteristics of large number of motor, complex sequential logical, high drive control demanding and distributed in different territory, it designs a configuration monitoring system for motor group integrative management and control network system, which uses PPI protocol and USS protocol and fieldbus technology, configuration monitoring technology and network technology, etc. It can realize the effective management of large number of motor driving and control. Due to its function quite similar, S7-200 and S7-300 and MM440 in the paper can be replaced by other kinds of PLC and inverter on the market. So the control scheme proposed by this paper is more practical and universal. Application in textile printing and dyeing institutions multi-cell motor driving, it shows that the designed system can drive and control the motor group with high efficiency and reliable.Keyword:largenumberofmotor;motorgroupnetwork;driveandcontrol;inverter;PLC-SCADA.

The paper firstly analyzes security and stability existed in the DDS network, and then finds that present DDS regulations cannot guarantee information’s confidentiality and integrity when facing an attack. Based on this, the paper puts forward a core thought of data analysis. According to the draft of DDS information security regulation, the paper analyzes information security threats that the DDS system must face, provides corresponding information security strategies in accordance with data granularity and operation means, and designs and realizes an information security model based on DDS. The security model there into is divided into three levels: boundary security, transmission security and data application security of fine granularity. At the same time, the paper also analyzes several important elements which influence DDS network security in detail, and then designs again the data-centered publication/subscription model. Finally, through the model testing by a lot of experiments, the experimental results show that: the model not only largely improves security of DDS network information, but also has already promoted stability and reliability of data transmission process.

This paper gives a hierarchical control strategy of multi-microgrids. The hierarchical control structure is made up with microgrid center controller (MGCC), microgrid controller (MC), generator controller (GC), load controller (LC). Controllers recognize the current operation mode of microgrids according to state trigger event and local operation state, realize transition of operation state. Controller is controlled by the upper controller, but once the communication among controllers is interrupted, MC can operate normally according to its local operation state. Thus, the MCs have a certain independence. The simulation platform is built-up by Netlogo for simulation of controller logic and communication coordination mechanism, OpenDSS for modeling distribution network and multi-microgrids, and matlab for data transmission and control optimization. With the simulation platform, this paper analyzed the characteristics of power regulation and different state transitions of multi-microgrids. Through verification, the strategy is available to realize operation state transition of multi-microgrids, guarantee stability of multi-microgrids under every operation state. Besides, compared with centralized control, it has better control effect and it has faster response.

SQL injection came with a bang and caused revolution in database attacking. Inrecent years, with the explosion in web-based commerce and information systems, databases havebeen drawing ever closer to the network and it is critical part of network security. This paper is incorporated with our research and firsthand experience in hacking the database by SQL injection. Database is the Storage Brain of a website. A hacked database is the source for Passwords and juicy information like credit card number, bank account number and every important thing that are forbidden. Importance should be given for preventing database exploitation by SQL injection. The aim of this paper is to create awareness among web developers or database administrators about the urgent need for database security. Our ultimate objective is to totally eradicate the whole concept of SQL injection and to avoid this technique becoming a plaything in hands of exploiters.

This paper puts forward an ensemble model based on uncertainty simulation and multiple model combination for short-term traffic flow prediction. Firstly, the initial condition of traffic flow be simulated by using a normal distribution, which makes a better description of the real traffic flow situation. Secondly, an ensemble prediction model with different types of prediction methods has been presented in order to catch any possible change of trend in the traffic flow. In the ensemble model, In order to improve the prediction accuracy, this paper put forwards an equivalence test and dispersion adaptability test for choosing the most effective methods in the ensemble system. Finally, a case study be given to show the performance of the ensemble model. Predication result shows that this model has a good performance with freeway traffic flow, It is capable of providing more detail about the traffic volume, it provide mean value and standard deviation value of traffic volume in the next period, which is most important information for traffic managers and travelers.

Wind power prediction is a key problem in optimizing power dispatching. This paper builds a wind power prediction model based on wavelet neural network which substitutes wavelet basis function for the transfer function of hidden layer. A missing data interpolation strategy is also given to improve the applicability of the model. With the wind farm data from southeast coast, the model works and the wind power in the next 30 hours is predicted. In the sense of the mean square errors this paper compared the prediction results of the model and BP neural network model, the results shows the models have a better accuracy.

Information security is fundamental to ensuring the normal operation of charging station. Based on CAN bus and 3G wireless network, this paper discusses current threats for communication network, builds a protection structure of information security, and proposes an overall information security protection framework. The firewall mainly includes digital signature authentication which combines SHA-1 message digest algorithm and ELGamal public key cipher system. Firewall-IDS (Intrusion Detection System) interactive modules and host information security protection modules is also designed. This paper lays a basic foundation for security construction of charging station’s communication network.

It’s vital to protect cultural heritage Mogao Grottoes. This paper discussed the five layers structure of Mogao Grottoes risk management and decision support system, analyzed the application of some key technologies of IOT from four technical parts. This paper gave the future prospects of application of the technology of IOT on the world cultural heritage protection and it will provide a reference for the establishment of similar systems.

The new-generation smart substation, which is included in the index of annually key construction project of The STATE GRID Corporation of China, featuring deep integration of primary and secondary equipment, although still in the pilot construction phase, symbolizes the future and trend of the development of smart substation.In this paper, a complete scheme of test technology and method on dynamic simulation, single device function test, abnormal SV test is presented based on the integration, on-site and substation-wide characteristics of the equipment and the unique feature of construction and commission phase of new-generation smart substation as well as the previous experience of test and operation on both smart and traditional substation.This paper concentrates on the examination method that tests the impact of abnormal SV to the protection device, enumerating all possible conditions of abnormal sampling data and corresponding test manner and methods. At last, a detailed test result on protection device from a new-generation substation that is in its final stage of commissioning is presented .

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.

Firewall plays an important role in today's network security, and its rule configuration is reasonable or not directly related to the security of network environment. With the increasing size of the network, firewall configurations are becoming increasingly complex, and the firewall policy audit should be born in order to better play the protective properties of the firewall. Firstly, this paper studies the relationship between firewall rules in detail, analyzes some common types of rules abnormal of audit programs and reviews existing policies. Next, this paper proposes a improved audit program based on the tree structure, discusses and achieves the audit process of the program in detail. Finally, this paper shows a graphical reports and detailed audit findings of the prototype system, and does a comparison and verification between the results of the improved audit program and the traditional strategy tree.

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.

Virtual reality (VR) technology is a new and comprehensive application of information technology. It can make people get the same feeling such as in the real world. VR has become one of the three major means of human exploration of the objective world rule. As one of the key technologies of building digital multi-dimensional information space technology support platform, virtual reality technology in the development and application domain expands unceasingly. This paper designs and realizes a 3D virtual campus roaming system based-VRML and mainly studies the key technology of overall modeling and local modeling, then achieves virtual campus interactive roaming function Using VRML development tool. The paper provides some experience for virtual reality technology in simulation campus construction in the areas of application.

This paper presents a novel closed current control loop of permanent magnet synchronous motor (PMSM). Conventional current control loops need two PI controllers per one PMSM. The paper provides a method for reduction of the resource consumption by using one PI controller for two PMSM. Combining with Black Box Blockset written by Verilog HDL based on Xilinx System Generator, one effective PI controller is designed instead of four PI controllers and simulated using Simulink. The utilization of FPGA resources is verified by Xilinx ISE 14.7 tool. The results show that the proposed method can reduce resource consumption and do not influence system performances observably.

Although the doubly-fed generator group has a flexible ability of reactive power regulation, when a fault occurs in the power system, the ability will be closed to saturation and we need to adopt measures to support network voltage. In this paper, the model of doubly-fed wind turbine、SVC and STATCOM will be given. And the paper will provide a control system of the two dynamic reactive power compensation devices respectively. By power system simulation software Matlab and combining a regional power grid of Mengdon, both SVC and STATCOM are applied to the wind farm and the paper will analyze the characteristics of network voltage. The simulative results show that both the SVC and STATCOM can help wind farm voltage rapidly reconstructed after the fault. In addition, the STATCOM can better improve the transient stability of the wind farm and the compensation effect of STATCOM is better than SVC.

In order to achieve higher precision, reliability and stability, lower cost and power consumption, friendly user interface and network functions, loss-in-weight weighing Controller based on ARM9 and Windows CE is designed for controlling dynamic real time batching equipment. This paper first introduces the working principle and architecture of the embedded Controller, then explains hardware system component and design of software system of the Controller, developed on Platform Builder 5.0. The paper pays more attention on the application layer development. Subfuctions of application software are introduced and working flow chart of main modules is given. Double incremental PID algorithm used by the system is presented to achieve the highest accuracy in the shortest possible time. The high precision 0.1% can be achieved, and Controller products are widely used in the metallurgy, chemical industry.

In recent years, enterprise manufacturing safety accidents have taken place frequently in China. We propose an application of wireless sensor network (WSN) in the enterprise safety manufacture real-time monitoring and accident pre-warning system (RMAPS), illuminate the principles and advantages of WSN, as well as the design basis of WSN in the system in this paper. Based on the current situation of low level of intellectualization in the RMAPS system and the existing problems, we propose the designing principals and the monitoring mechanism of the RMAPS system, study the feasibility, the method and the way of the application of the WSN in the RMAPS system in this paper.

In this paper design and analysis a die meant to cone explosive forming have been investigated. Since the explosive forming dies are subjected to blast loading, failure is too likely to pass. Likewise, the special geometry such as existing the several holes, sealing grooves, vacuum channel and fillets of this type of dies under explosion wave makes their analysis complicated. In the present work, the die was designed according to the final product dimension assisting a design software. In the next step the die under blast loading was analyzed using finite element method utilizing FEM software. The outcomes exhibit that the die is capable to withstand the explosion load. Besides, the trend of this paper is recommended as a routine for the designers who are going to design these types of dies.

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.

Dynamic optimization scheduling of the gas in iron and steel enterprises has great significance to reduce gas emission and the short-term forecast is the premise to realize the energy dynamic scheduling. Based on the characteristics that the influencing factors of blast furnace gas amount are complex and difficult to collect, a grey radial basis function (RBF) neural network forecast model is proposed to predict the gas amount for blast furnace in this paper. Combining grey theory, which is used to preprocess the historical data and obtain abundant information, with RBF neural network makes the effective trend forecast in the next 30 minutes come true. The model proposed in this paper is proved to be more accurate according to control experiments against the grey BP neural network.

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.

For the current avionics system structure of typical military aircraft, this paper proposes the architecture design of airborne embedded training system ,and detailedly discusses the functional structure scheme of the training system, composition of hardware and software etc. This paper deeply discusses credibility and effectiveness inspection scheme in the system development process, and takes embedded training system and the integration process of the fire control radar for example, this paper also does simulation and analysis of simulation.

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.

This paper use crowd simulation and virtual reality technology design choreography prototype system. Based on the analysis and research of group calisthenics performance’s choreography work draws the related theory of crowd movement model, proposes a crowd movement model which can describe actor behavior in group calisthenics. This paper is divided into three parts; the first part introduces the development of group gymnastics in China. The second part introduces the structure and function of group calisthenics prototype system. The third part focuses on the design and implementation of a prototype, at the same time provides a useful reference for depth study of virtual crowd simulation.

The operation of power system generates a huge number of data. Manual screening of bad data is almost impossible to achieve. Bad data detection of the power system is the essential prerequisite for power system state estimation. So combined with the characteristics of bad data of the power system, this paper puts forwards an improved K-Means algorithm based on PSO. The traditional K-Means algorithm has disadvantage that it has low efficiency to determine the cluster’s center, but PSO algorithm has the ability to determine the cluster’s center quickly and accurately, this paper combines them together and take advantages of each of the two. The improved K-Means algorithm is based on PSO and verified the effectiveness of the algorithm. The results satisfy the requirements of screening bad data and reduce the false alarms and the probability of undetected and improve the recognition efficiency.

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.

Rapid prototyping technology can generate parts directly from the three-dimensional CAD entity data, hierarchical algorithm is a key link in rapid prototyping manufacture. In this paper, mainly used a hierarchical approach in RP equipment,for the study aimed at three commonly hierarchical algorithm (hierarchical algorithm based on STL model, direct sliced of CAD models, Smart Slice based on STL model) by Perspective, trying to provide a reference for the stratification algorithm of RP system by comparison of the three tiered approach,This paper argues that the Smart slicing algorithm based on STL model is more accurate stratification algorithm

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.

This paper briefly recommends the conception and syntax construction of the expert system language – CLIPS. Aim at fault happening mode, the paper build up fault analysis model of certain self-propelled gun servo system with CLIPS, compiled knowledge base and reasoning engine, realized embedded programming of CLIPS, and illuminated the application of CLIPS in fault diagnosis of self-propelled gun servo system.

Office automation system provides enterprises with advanced office information processing means, immensely enhances office productivity and the quality of office, and enhances office management and decision automation and scientific levels. For the difficult problems in the development of office automation systems, this paper launched study for its framework. Firstly, it researches the fundamental framework composed by the user layer, service layer, application layer, the data support layer; then, researches the technical framework which uses Lotus Domino / Notes as the development platform and described its various components; Finally, researches the functional framework composed by the personal office, administration, document systems, public information, information systems, systems management and so on six large modules. Architecture technology provides a large number of software reuse, thereby improves development efficiency. OA system of developing using the contents of this paper has advantage of a clear structure, stable performance, easy to maintain, easy to transplant and so on.

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.

The paper digs out useful conclusions for businesses from the mass of product reviews. To conduct commodity pricing, merchandise improvements provide a basis so as to promote sales performance. The paper discusses the product reviews of emotional connotation. It summed up the current situation development of emotional analysis on product reviews. It analyzes the significant commercial value of product reviews. Product reviews explores the relationship between emotion and sales performance analysis. We can research the technical implementation process of reviews.

Current prediction models for network traffic cannot accurately depict the multi-properties of the Internet traffic. This paper proposes a wavelet-based hybrid model prediction method for network traffic called CLWT model and proposes a prediction method for traffic based on this model. The traffic time series can be rapidly decomposed respectively into approximate time series and detail time series with LF and HF response. The approximate time series predicts by making use of Least Squares Support Vector Machine and proceeds error calibration by using Generalized Recurrent Nerve Network. The detail time series predict it by making use of self-adaption chaotic prediction methods after the medium-soft threshold noise reduction. Finally the prediction value of time series is got by making use of promoting wavelet reconstitution. The effectiveness for the prediction methods mentioned in the paper has been validated by simulation experiment. High prediction accuracy is obtained compared with the existing methods.

This paper analyses and researches the performance and principle of DSTATCOM in distribution network .Detecting means and control method of DSTATCOM are key point of this paper. The paper determines the detecting means of improved d-q transformation theory of vector control based on instantaneous reactive power and adopts a novel strategy based on the prediction table of double variable. Moreover, the simulation of DSTATCOM is presented with MATLAB. The simulating results prove the DSTATCOM put forward in the paper can realize dynamic reactive power compensation efficiently.

For the poor robustness of current text watermarking schemes, this paper proposed a text watermarking scheme based on the structure of Chinese character glyph. In this method, the different glyphs of character with same semantic is constructed by modifying the connections of Chinese character strokes located on the junction point of skeleton curve, which represents the different digital watermarking information bit strings. Extensive experimental results show that the proposed scheme is effective to resist print-and-scan, copy, photograph attacks etc. It can achieve the purpose of hiding information in paper documents and can be used for information tracking.

A control strategy and implement method for the no-load cutting-in of double-fed induction generator in power system are introduced. The paper analyze the basal principle of DFIG under no-load condition, and build the correspondent mathematical model. Then according to the model, the paper propose a control strategy on the basis of magnetic flux linkage vector orientation control. Using simulation software set up a simulation model. The result of simulation showed that: the no-load grid connection control strategy can effectively keep the stator voltage track the time-varing grid voltage. At the interconnection instant, the impulse current is almost zero, thus the soft cutting-in of DFIG is well realized.

This paper investigates the short-term wind power forecasting and demonstrates accurate modeling, which utilizes two representative heuristic algorithms (i.e. wavelet neural network (WNN) and Multilayer Perceptron (MLP)), and statistical machine learning techniques (i.e. Support Vector Regression (SVR)). The proposed method generates the performances of different approaches for random time series, characterized with high accuracy and high generalization capability. The employed data is obtained through Sampling equipment in Real Wind Power Plants (Power generation equipment is Dongfang Steam Turbine Co., Ltd. weak wind turbine type--FD77 with German REpower company technology). The main innovation of this paper comes from: (a) problem may encounter in the real application is in consideration such as corrupt, missing value and noisy data. (b) Data lag estimation are provided to investigate the data distribution and obtain the best input variables, respectively. (c) Comparison between MLP neural networks, WNN and SVR with optimized kernel parameters based on Grid-search method are provided to demonstrate the best forecasting approaches. The purpose of this paper is to provide a method with reference value for short-term wind power forecasting.

This paper introduces a methodology for creating geometrically of real terrain based on DEM data, which provided by the international scientific data sharing center.The method is to convert the DEM data in Global Mapper, AutoCAD and other softwares, process batch of data using office software, based on APDL language programming in ANSYS software , so as to realize the real remote sensing data to establish 3-D geological model in finite element software. An example illustrates the capabilities of the proposed methodology in this paper.

Sliding mode control systems provide robust and simple means for controlling linear and nonlinear plants whose parameters may vary within known boundaries. The existence of an ideal sliding mode requires fast switching, which induces chattering in the system, may excite high frequency plant dynamics and consequently affect the stability of the system. This paper proposes a new simple sliding mode controller based on second order reachability law. The reachability condition in this paper is based not only on the first derivative of the switching function but also on its second derivative. The proposed controller alleviates chattering, guarantees zero steady state error, and offers smooth transients for the system states. To demonstrate the validity of the proposed controller, a second order system is used as a workbench example. The simulation results of the workbench example using MATLAB illustrate the feasibility and efficacy of the proposed controller.

This paper presents design of portal that improves controlling of sales channel at initial conditions. The customer needed to display key performance indicators on the portal and thus significantly improve the efficiency of business processes after the deployment of Microsoft Dynamics CRM 2011. The aim of this paper is to choose appropriate technology to create a portal and design possible architecture of solution. Microsoft Dynamics CRM 2011 with Web Application Microsoft SharePoint platform provide a solution for process control of business processes in company that is primarily offered like as the best solution. On the other hand, we found the possibility of open source content management system DotNetNuke, which meets customer's requirements and therefore, there is a possibility to reduce financial costs when selecting this system. Finally, we evaluated considered technologies, prepared more price variations of architecture and compared advantages and disadvantages of these variations.

The paper introduces a disaster tolerant system based on B/S mode and proposes a safe and effective communication protocol that combines with communicational needs. The protocol has been realized in this paper. This system has adopted remote management based on Web so that its construction is reasonable and operation is convenient. Through test,the system which is excellent in performance and stable in working is considered to be valuable for application and promotion.

This paper mainly discusses the dynamic distribution of regenerative braking system and conventional friction braking system of EV.In order to meet the requirements of vehicle braking stability and recycle the braking energy whenever possible, the paper proposes a control strategy which based on ECE regulation and I curve.Then the proposed control strategy is embedded into the simulation software ADVISOR.The result shows that the control strategy of regenerative braking the paper presented is better than ADVISOR’s own on braking energy recovery, and is especially suitable for frequent braking city conditions.

This paper divides the platform performance into three different aspects: general characteristics, hull property and concealment performance, from which we fully study the various factor index involved, use the AHP to build an integrated-assessed mathematic model of hierarchy of good distinct and structure of high efficiency and calculate the weight assessment indicator of each hierarchy. This paper uses AHP to build the general objective function of the designing scheme of platform property. By the statistical analysis of the tip of various property indexes of mass hull property data, we choose the corresponding subordinating degree functions in the fuzzy mathematic field to determine the appropriate subjection function, calculate the relevant degree of membership, and finally conduct the integrated assessment of mathematic model of the design of AUV platform performance system. We use C# language in the developing environment of VS2010 to develop the fuzzy-comprehensive-assessment software system of the designing scheme of AUV platform, and, we also use the software to analysis the systematic reliability of this scheme by living example. Through this work, we could offer a scientific and rational theory of technology for the support of underwater unmanned vehicle research department.

In order to provide basis and standards to the research on unmanned driving behaviors, a more thorough evaluation system of Intelligent Behavior for Unmanned Ground Vehicles needs to come forward. The intelligent behavior of unmanned ground vehicles in pedestrian crossing scenario is taken as an example in this paper. By using building and analyzing evaluation index system, this paper proposes an evaluation method that can comprehensively expressed the technological performance of unmanned ground vehicles based on Analytic Hierarchy Process (AHP). Compared with traditional methods, this evaluation method takes index weight into sufficient conderations and is more objective. The method properly works out with index weight of specific scenarios that reflects the actual situations. The establishment of comprehensive scoring method objectively and conveniently turns the performances of unmanned ground vehicle into scores, so that the results can be compared and ranked directly. Last but not least, a certain participating vehicle is used for case study. The result proves aforementioned method to be practical, reliable, convenient and logical. It not only evaluates the assessment comprehensively, but also evaluates the index separately to guide researchers to find out the defects of unmanned driving vehicle evaluation indexes and point out ways to improve them.

With the development of computer technology and information technology, voice interaction has become a necessary means of human-computer interaction, and voice signal acquisition and processing is the precondition and foundation of human-computer interaction. This paper introduces the MATLAB visualization method into voice signal acquisition system, and uses MATLAB programming method to drive sound card directly, which realizes the identification and acquisition of voice signal and designs a new voice signal visualization acquisition system. In order to optimize the system, this paper introduces the variance analysis algorithm into the design of visualization system, which realizes the optimization of voice signal recognition model with different level parameters. At the end this paper does numerical simulation on the speech signal acquisition system; through signal acquisition 2D and 3D visualization voice signals are obtained. It extracts single signal characteristics, which provides a theoretical reference for the design of signal acquisition system.

Paper deals with use of methods of Reverse Engineering and 3D printing for the fashion shoe design. It contains an example of a procedure for implementation of fashionable footwear collection "Instant Shoe 2" designed by designer Pavla Podsedníková for the purpose of presentation in a fashion show. The paper also contains a described process of digitising a shoe model and solving problems related to it. The next step is the printing of physical shoe models using 3D printers. Two types of 3D printers were used. The article concludes with a presentation of results presented at a fashion show.

The paper deals with multi-axis machining of complex shapes of freeform surfaces. Machining of such surfaces is very difficult and the critical operation is the optimal setting of tilt and lead angle which, along with other parameters, must ensure collision-free machining. This paper describes the possible dividing of solved freeform surface areas into partial elements with similar properties from CAD data using Matlab software instruments. The partition is solved by algorithms calculated according to the curvature of the surface using both methods the maximum and the Gaussian curvature. These partial elements can be machined separately which allows employment of tools with optimal dimensions for individual elements. This process enables significant reduction of tool-path necessary for machining these shapes which also leads to reduction of the working time. Furthermore, there are practical examples including a comparison of standard method and the use of machining process optimized by the algorithm in this article.

In this paper, I propose a solution for the auto-booting of baseband board, including the auto-booting of an ARM processor and the configuration of a FPGA chip. The baseband board’s FPGA chip is Xilinx’s XC6VSX475T which belongs to Virtex-6 series, the ARM processor is TI’s DM8168. ARM processor boots from nandflash, using uboot as its boot loader. I use Slave SelectMAP mode with 8-bit data bus interface as FPGA configuration mode. This paper introduces the transplantation of uboot and the FPGA configuration process with details, also analyses the result. This solution has already been used in TD-LTE TTCN extended test sets instrument, and it works well, which proves itself a practical solution.