Information and Management Engineering

The problems of stability and stabilization for the networked control systems (NCS) with stochastic packet dropouts are investigated. When packet dropouts occur between sensor and controller,the networked control system is modeled as a markov jump linear system with two operation modes. Based on this model, the sufficient condition for the stability of the system is presented, then static output feedback controller is obtained in terms of LMIs condition.A number example illustrates the effectiveness of the method in this paper.

The controlling problem of smart home system exists nonlinear and indefiniteness. The whole system smart disassemble into intelligent comprehensive of every family subsystem. Individual subsystems of control actions by the nodes to implement. The method has been put forward that we can transform the smart home controller using the technology of the fuzzy neural network. It solved that the home controller how to get self-learned and self-adaptive capacity and intelligence analyze-judge capacity, satisfy domestic demands of the intelligent control and have better economy and practicality.

In this paper, a low power, high linearity and high gain front-end circuit with novel LNA in 0.18

μ

m CMOS technology for 5.2 GHz wireless applications is proposed. By employing current-bleeding and current-enhanced techniques, the conversion gain and the linearity can be increased and the power consumption is reduced. The complementary common-gate LNA is adopted to reduce noise and to improve linearity. With the LO power of 0 dBm, the proposed front-end circuit has conversion gain of 18.4 dB, input 1-dB compression point of -16 dBm and IIP3 of -6 dBm, while it consumes only 9.4mW. The chip size including pads is 0.767mm × 0.96mm.

Based on the conception of Zellner’s Balanced Loss, considering the goodness of fitting and the accuracy of Ridge Estimator. the paper constructed the balanced loss function and put forward Balanced Ridge estimation of coefficient in linear model, also obtained the property of Balanced Ridge Estimator superior to Least Squares Estimator and admissibility of Balanced Ridge Estimator.

We present an approach for automatically exploring relation schema and extracting data from HTML pages. By abstracting a DOM-tree constructed from a HTML page into a set of generalized lists, this approach automatically generates a relation schema for storing data extracted from the page. Based on this approach, we have developed a software system named as SEDE (Schema Explorer and Data Extractor for HTML pages), which can reduces the workload of extracting and storing data objects within HTML pages. This paper will mainly introduce SEDE.

In the field of marine, prediction of the marine safety is very important. It is reported that defects exist in the small intestinal epithelial barrier of inflammatory bowel disease, which might be associated with increased intestinal permeability at a very early stage. All endangered large whale species are vulnerable to collisions with large ships; and “ship strikes” are the greatest known threat to one of the world’s rarest whales, the North Atlantic right whale. The magnitude of this threat is likely to increase as maritime commerce expands. Factors influencing the incidence and severity of ship strikes are not well understood, although vessel speed appears to be a strong contributor. The purpose of this study was to characterize the hydrodynamic effects near a moving hull that may cause a whale to be drawn to or repelled from the hull, and to assess the accelerations exerted on a whale at the time of impact. Using scale models of a container ship and a right whale in experimental flow tanks, we assessed hydrodynamic effects and measured accelerations experienced by the whale model in the presence of a moving vessel. Using an artificial neural network (ANN) prediction of the marine safety, results are compared with experimental values and deviations are determined. Based on the implemented investigations, minimal deviations between experimental and predicted values are obtained and can be concluded that ANN can be used for prediction of the marine safety.

This document explains and research of S3C2410 embedded processor based on ARM9, and Vxworks as a real-time embedded system, to which meet the system interrupt real-time requirements. Therefore, interrupt processing for the VxWorks system development is essential. This design based on the ARM920T processor to write and debug touch screen interrupt, to discuss the VxWorks operating system interrupt handling procedures.

The incorporation of virtual reality-based technology into architectural design is one of the directions developing the future architectural design. It is inevitable to bring profound effects to architectural design. This subject puts emphasis on limitations and deficiencies of expression and display in architectural design. Virtual reality-based technology, especially based on Web3D, is available to improve solutions and make certain accomplishments.

In order to improve the universality and expansibility of the existing CNC (Computer numerical control) interpretation technique, a new model of NC program interpreter is proposed based on the format and characteristics of NC program. This model uses the modularized structure. Because of the independence of module function and the consistency of the interface, each module of the interpreter can be design and expansion independently without affecting other modules. Improve the grammatical rules by using EBNF (Extended Backus-Naur Form), which effectively eliminates the uncertainty of grammatical analysis caused by grammatical ambiguity. The error handling module introduced cannot only detect all kinds of interpretation error automatically, but also pointed out the wrong location directly. A modularized interpreter prototype system which verified the validity of the proposed method was developed. The experimental Results shows that the interpretation time is much less than the program machining time, so the modularized NC program interpreter proposed can improve the interpretation efficiency significantly.

Sparse and unstructured computations are widely involved in engineering and scientific applications. It means that data arrays could be indexed indirectly through the values of other arrays or non-affine subscripts. Data access pattern would not be known until runtime. So far all the parallel computing strategies for this kind of irregular problem are single network topology oriented, which cannot fully exploit the advantages of modern hierarchical computing architecture, like grid. We proposed a hybrid parallel computing strategy RP, shorted for “Replicated and Partially-shared”, to improve the performance of irregular applications in the COC (Cluster of Clusters) environment.

In order to reduce vibration and noising of the aircraft main wing through the active control algorithm, research of non-linear adaptive filter algorithm is very important. This paper carries out variable step-size uncorrelated algorithm study based on traditional Volterra LMS algorithm. Through simulation of weakness and moderate intensity correlation input signal, the improved algorithm achieved good effect, and convergence speed is greatly improved, after 500 times iteration, weight coefficient mean-square error norm (NSWE) can achieve -60dB, but traditional Volterra LMS algorithm can only achieve -6dB, which proved the convergence of the rapidity and precision.

In China, many regional higher education institutes (mainly be regional university) are believed as catalyst for the economic progress (especial for commerce), have been founded from 1998. From 2006, most of those regional higher education institutes promoted to be new comprehensive regional higher education institutes (CRHEIs) in succession. Now more and more students studying in those CRHEIs, and then the quality of teaching should be improved. In this paper, we analyses ICT (Information and communication technology)–based teaching and learning issues at CRHEIs level and old regional higher education institutes (OHEIs, mainly be regional university) level. Using normative Delphi method, we discussed ICT-based issues and get that ICT integration in CRHE and ORHE and get that CRHE need to be in lined with proper strategy in order to get their true benefits.

Flash memory has been widely used in various embedded devices, such as digital cameras and smart cell phones, because it has a fast access speed, a high availability and an economization of power. However, replacing hard drives with flash memory in current systems often either requires major file system changes or causes performance degradation due to the limitations of block based interface and out-of-place updates required by flash. We introduce a management framework of object-based storage system which can optimize the performance for the underlying implementation. Based on this model, we propose a data allocation method that takes richer information from an object-based interface. Using simulation, we show that cleaning overhead can be reduced by up to 11% by separating data and metadata. Segregating the hot data and cold data can further reduce the cleaning overhead by up to 19%.

With time passed, information and communication technology (ICT) penetrates into all aspects of industrial production and changes the whole process of industry. In the past years, small-sized enterprises have played an important role in the economy. But little attention has been paid to the usage of ICT in small-sized enterprises in China. In this paper, we analyses ICT–based issues from technicians in Linyi Xinyuan Friction Material Limited Company. The methodology for carrying out the tasks mainly contains questionnaires according to normative Delphi technique. The paper ends with recommendations which small-sized enterprises authorities should take in order to conform ICT in their production.

With time passed, information and communication technology (ICT) has penetrated into all aspects of industrial production worldwide. ICT offer a new way in which ideas can be generated, communicated, and assessed. During the past years, medium-sized enterprises have played an important role in the economy. However, little attention has been paid to the usage of ICT in medium-sized enterprises in China. In this paper, we analyses ICT–based issues from technicians in Shandong Linyi Lingong automobile drive axle Limited Company. The methodology for carrying out the tasks mainly contains questionnaires according to normative Delphi technique. Some recommendations are proposed for medium-sized enterprises authorities to take in order to properly penetrate ICT in their production.

Grey relational difference information space (GRDIS) theory is an effective tool for wireless sensor network diagnosis and situation prediction on poor-information network systems. This paper discusses the application of GRDIS in poor-information systems in which there is a few or incomplete sampled wireless sensor network data, or sample data updates quickly, or whole sample data is very complex, but in some space or time region, sample data obey regularity. Some experiments have been presented.

In this letter, in order to explore wireless sensor network data, a vector-space-model is applied. With application of the method, the similarity between query features and wireless sensor network features is calculated, which facilitates detecting anomalies. Experiments are conducted and, together with application of SIGCOMM 2008 trace data, show some positive results.

Inter-organizational communication has been documented as a critical factor in promoting collaboration among firms. However, the influencing factors of communication remain unclear. Based on social exchange theory, this paper explores the influencing factors of communication in the context of buyer-supplier partnership. The results show that trust, commitment and dependence are positively associated with communication in buyer-supplier partnership.

Most clustering algorithms need to preset the initial parameters which affect the performance of clustering very much. To solve this problem, a new method is proposed, which determine the center points of clustering by density-searching according to the universality of the Gaussian distribution. After the center was obtained, the cluster expands based on the correlation coefficient between clusters and the membership of the samples until the terminating condition is met. The experimental results show that this method could classify the samples of Gaussian distribution with different degree of overlap accurately. Compared with the fuzzy c-means algorithm, the proposed method is more accurate and timesaving when applied to the Iris data and Fossil data.

A stable and accurate ship navigation system is very important for people navigating in the ocean. Dead reckoning (DR) system is a frequently used navigation system for ships navigating in the ocean. It can provide precise short term navigation data, but the error of DR system can accumulate over time without limitation. GPS can be used for navigation in outside environment. But the accuracy of GPS for civilian use is still big. In this paper a cheap single GPS receiver is used for the navigation for ships. This paper proposed a new Kalman filter based GPS/DR data fusion method using neural network. This method was designed based on the characteristic of the GPS receiver. By using this data fusion method the cheap single GPS receiver can cooperate with DR system to provide precise navigation information. Simulation is conducted to validate the proposed data fusion method.

Military conceptual model is abstract to “obviating behavior space”. The purpose of this model is to provide module for integral joint operation simulation. According to case description, it offers a formal representation as to the elements such as battlefield barriers and obviating units entity through the establishment of obviating system package. Dynamic modeling mechanism based on UML for building cooperating operational model and obviating operational model is formed to achieve the operational use cases of each battle behavior entity. Analysis is also made on the operation activities at obviating course and suffering sneak attack through the erection of corresponding obviating activity diagram. This model implements interaction relation and message delivering, and reflects inside logic in obviating operation mission, entity, function, interaction and activity.

In the distributed computational grid environment, existing trust negotiation languages(TNL for short) could not meet the need of the high efficiency of negotiation, defending the malicious attack and negative expression, therefore we proposed a Distributed Entity Negotiation TNL, which satisfies most of requirements needed in the negotiation language, protects the safety of entities, supports distributed authorization and proof, and negative expression. To improve the efficiency of negotiation, we add it with the feedback policy.

The speed and direction control of the own designing intelligent car is the core of intelligent car control system. In order to get fast, stable and reliable running on a different track, the system collects the discrete path information by an array of photoelectric sensors, the digital PID algorithm and indirect PID algorithm are utilized on the drive-motor and steering gear. Therefore, the system avoids the step-variation of intelligent car’s direction and speed change, eliminates the over-control and oscillation, and approximately obtains continuous control effect. The study show that the control algorithm has a nice self-tracing effect on the black and white(or large color difference)track.

A algebra structure of capality probability vectors is presented through analysis and researches of the model of assignment problem. And a concept of basis space of mission assignment problem is introduced. Furthermore, some properties are obtained in this space. And hence, a new research way is pointed for the mission assignment problem.

The vehicular networks relying on the intelligent transportation system, is the production of the modern vehicle entering into the information era, and it has important application on reducing the traffic congestions and traffic accidents. As the key technology of the communication of vehicular-road and vehicular-vehicular realization, Dedicated Short Range Communication (DSRC) is widely used in the vehicular networks. This article has analyzed the problems existed in the practical application of DSRC technology; proposed the technical improved methods; and confirmed DSRC has the broad prospects in the vehicular networks application. At last, it analyzed the prospects of vehicular networks and the matters that should be attached importance in the vehicular networks development.

In order to analyze the distributing condition of urban passenger flow scientifically and correctly, the disaggregate Logit model is presented to predict the public transportation share ration in city, which is carried out by means of analysis of the outer and inner factors that affect the choice of modes of transportation and is based on the random utility theory. Firstly, the factors with major contribution to modes choice are selected according to the likelihood ratio statistic. Then the parameters of are estimated and the model is constructed. Finally, according to the proposed algorithm, the public transportation share ratio forecast test is carried out using the field survey data. The results of independent sample test indicate that the model has a finer precision and stability.

Design of one calibration system for vehicle speed monitoring device based on ground loop sensors using the direct digital frequency synthesis technology. The calibration system can generate one kind of sinusoidal signals attached onto the excitation loop sensors, which frequency, time interval is adjustable. The sinusoidal signal simulates the fast vehicle and couples with the signal from the ground loop sensor at maximum degree to excite the vehicle speed monitoring device, which performances can be verified by the calibration system.

By analyzing the dynamic characteristics of vehicles on the road turning, the range of velocity is obtained where vehicles turn safely. A single-lane cellular automaton model is proposed, containing the ultra-high road turning, to stimulate the effect of road turning with ultra-high on traffic behaviors. The result shows that in certain range, the greater the ultra-high is, the average velocity and the average flow of system are. Therefore, reasonably setting up ultra-high on the road turning can promote the traffic capacity of the road.

This paper sums the aircraft assigning problem up as vehicle routing problem, and constructs a mixed integer programming model. This model not only considers the link time and link airport between two consecutive flight strings, but also considers the available flying time for each aircraft. To solve this problem, an Ant Colony System (ACS) combining with the pheromone updating strategy of ASRank (Rank-based Version of Ant System) and MMAS (MAX-MIN Ant System) is proposed. Seven groups of initial flight string sets are used to test the method, and the important parameters of the algorithm are analyzed. The numerical results show that the method of this paper can effectively reduce the total link time between the continuous flight strings, and obtain the satisfactory solution with high convergence speed.

The quality of ranking determines the success or failure of information retrieval and the goal of ranking is to learn a real-valued ranking function that induces a ranking or ordering over an instance space. We focus on generalization ability of learning to rank algorithms for information retrieval (IR). The contribution of this paper is to give generalization bounds for such ranking algorithm via uniform (strong and weak) query-level stability by deleting one element from sample set or change one element in sample set. Only we define the corresponding definitions and list all the lemmas we need. All results will show in “Generalization Bounds of Ranking via Query-Level Stability II”.

The effectiveness of ranking algorithms determine the quality of information retrieval and the goal of ranking algorithms are to learn a real-valued ranking function that induces a ranking or ordering over an instance space. We focused on generalization ability of learning to rank algorithms for information retrieval (IR). As a continuous research of generalization bounds of ranking algorithm, the contribution of this paper includes: generalization bounds for such ranking algorithm via five kinds of stabilities were given. Such stabilities have lower demand than uniform stability and fit for more real applications.

A multiple shell MS {

n

1

t

1

,

n

2

t

2

,. . . ,

n

r

tr

} is a graph formed by

t

i

shells of widths

n

i

, 1 ≤

i

≤

r

, which have a common apex. This graph has

$\sum^{r}_{i=1}$

ti

(

ni

–1)+1 vertices. A multiple shell is said to be balanced with width w if it is of the form MS{

w

s

} or MS{(

w

+ 1)

t

,

w

s

}. Deb and Limaye have conjectured that all multiple shells are harmonious. The conjecture has been shown true for the balanced double shells, the balanced triple shells and the balanced quadruple shells. In this paper, the conjecture is proved to be true for the balanced quintuple shells.

The virtual model of vehicle is built using ADAMS/Car. The yaw velocity and sideslip angle feedback controllers are designed based on the method of fuzzy control. Then co-simulation of vehicle stability is taken by ADAMS/Car and MATLAB/Simulink. It provides a useful method for co-simulation and vehicle roll stability control.

The paper is focused on the Min-Max Vehicle Routing Problem. According to the features of the problem, fast taboo search algorithm is used to get the optimization solution from the overall situation. Firstly, it applies newly improved insertion method to construct initial solution in order to improve the feasibility of the solution. Secondly, it centers the longest route to design three operations for fastening the speed of convergence and efficiency. Finally, the good performance of this algorithm can be proved by experiment calculation and concrete examples for solving practical problems.

For the case of the handover from midcourse guidance to terminal guidance for the anti-air missile beyond visual range, the process of the target handover was provided through the study on the radar seeker’s principle. And the solution model of the preset antenna pointing angle error was presented based on the analyses on the major error sources. Furthermore the variable structure guidance law was simulated towards the interference of the pointing angle error. The simulation results validate the robustness of the variable structure guidance law to the interference of the line of sight angle error.

This paper mainly introduces microcontroller of counter to implement an intelligent traffic control system. The system uses an external triggered pulses to simulate, through traffic to timing/counter car collection, so as to realize the flow of traffic information digitization. Meanwhile, according to historical stored data and automatic detection to car traffic information, microcontroller will be compared, and the control model algorithm control scheme by setting proper signal ratio, realizing the intelligent control traffic signals.

The piezoelectric pump actuator deformation of the piezoelectric fluidic angular rate sensor was researched. At first, the principle of the piezoelectric pump operation was analyzed. At second, using the finite element method, the deformation of the piezoelectric pump actuator was calculated, then the deforming curve equation was obtained. At last, the method of measurement and calculation for the deformation volume fluctuations was given at the base of the deformation curve equation, which had been proved. Therefore it is possible to select the piezoelectric pump by using this method.

The jet flow characteristic was analyzed by the finite element method in a turning cavity. Using ANSYS-FLOTRAN CFD software, according to the actual size, building an entity model, the finite element simulation was conducted by a series of procedures, such as meshing, applying loads and solve. Then the flow field distribution was calculated with the different input angular rate. The results are as follow:

(1) In static status, airflow velocity shows a symmetry distribution through the cavity central axis. The maximum velocity of gas flow appears near the cavity central axis. The airflow velocity gradually decreases on the both sides of the cavity central axis, and the velocity is zero near the wall.

(2) In turning status, by the action of the Coriolis force, the centre of jet flow will be deflected. The flow field shows an asymmetry distribution through the cavity central axis. The flow velocity will change with angular rate for the each point. So the piezoelectric fluidic angular rate sensor uses this characteristic sensitized the angular rate.

The software compensation technology of the piezoelectric fluidic angular rate sensor was described. The principle and procedure of the temperature and linearity compensation were provided. Using the microprocessor, the temperature and linearity compensation of sensor could be solved by combining method with the data interpolation and table look-up. The experiment results show that after software compensation, the sensor nonlinearity decreases from 2% to 0.5% and operating temperature range increases from 0°C~45°C to -40°C~55°C. The software compensation method is easy to use and also used for other enough precision sensors.

The airflow angular rate sensor temperature field and pressure were analyzed by finite element method in the sensitive element. Using ANSYS-FLOTRAN CFD software, according to the actual size, building a two-dimensional entity model, the finite element simulation was conducted by a series of procedures, such as meshing, applying loads and solve. Then the temperature field and pressure were calculated in the sensitive element. The compute results show because of the action of heating in parallel placed two hotwires, the hotwires temperature rises around the jet gases, the temperature field produces gradient in the closed cavity; the pressure near the outlet side position is higher than other positions mean value 68%.

The stereo-garage for electric vehicle recharging has been studied and developed. The charging fees management system of the garage adopts IC inductive card, intelligent charging system, safety charging socket and charging state monitoring technology. The intelligent and automatic parking and charging have been achieved, which provides effective protection for the development of electric vehicles.

In this paper, we had advanced the ameliorative method of wavelet ridgeline based direct wavelet transform, in research based on the intra-pulse characteristic analysis method based on wavelet transform theory. It can effective estimate the phase mutations of the phase-coded signals, reduce the date of the initial frequency estimation error because of interruption and boundary effect, obtain accurate intra-pulse modulation parameters, improve anti-noise ability. The method can solve the complex electromagnetic environment, aviation electronic reconnaissance system for phase-coded signal edc, special system radar signal of reconnaissance.

The transportation accident of hazardous materials possibly causes heavy personnel casualties, long-term environmental pollution and huge economic losses, the public and the media are very sensitive to the accident. Selecting the reasonable transport route is of great significance for the prevention of accidents. Aiming at hazardous materials highway transportation network, this paper proposed the definition of integrated transport costs and integrated danger coefficient firstly, then the N-shortest path algorithm was used to determine the alternative transportation route parameter of hazardous materials, thirdly, the algorithm steps of finding the best transportation route were constructed through using entropy model, finally an example demonstrated the feasibility of the decision-making method. This decision-making method can help the government relevant authority and the transport enterprises choose the reasonable transportation route.

It is difficult to explode the encumbrance of trip decision choosing for traffic participants because that is deliberate. The origin of encumbrance of trip choosing for urban traffic participants is analyzed. Depending on the research of the sustainable development of urban transportation and summarizing the transportation development history and foreign cities’ experiences, a comprehensive strategy system to explode the encumbrance of trip decision choosing is proposed which includes mechanism construction, political, and capital construction (transportation infrastructure construction) as well as the technique system.

Based on neural network method and by using the relevant social and economic development history index data, this paper establishes the mathematical model and neural network model that is used to predict future land resource demand, and the network is trained by using data from 1992 to 2005. Accordingly, the trend analysis model, which is to predict and analyses the indicators of population, production value, GDP, etc., is also established, and applied to predict the construction land demand from 2010 to 2020. Here, taking the trend forecasting data of the population, production value and GDP as trained network input, it calculates the future land demand. The simulation result of this method is proved to be satisfactory after comparing it with traditional statistical model forecasting results.

Most of the existing algorithms of vehicle rear-end collision have poor adaptive, high false alarm and missed alarm rates. A two-level early warning model based on logic algorithm of safe distance is discussed. The influence of road conditions, driver status and vehicle performance on the warning distance of rear-end collision in the driving process is analyzed. And for different driving conditions, a warning algorithm of vehicle rear-end collision based on neural network with adaptive threshold which can adapt to different status of the three main elements, human-vehicle-road is proposed. Also the comparison of the warning distance whether using adaptive strategies for the rear-end collision algorithm through changing the real-time status of human-vehicle-road is presented. The result of the simulation shows that the algorithm proposed is self-adaptive to the warning distance and region, and the feasibility of the algorithm is verified.

Hamming code is a parity code, the information bits and test bits must be mixed arrangement at a fixed location to check for errors s and correct the wrong. Based on the design principle of Hamming codes, this paper gives a improved method, proposed to arrangements the test bits in the last digit of code word, so that extract the information bit more convenient, and hardware implementation will be easier.

In this paper, we have designed an Intelligent Home System Based on WIFI. We use IEEE802.11/WIFI standards and the GPRS network to manage the family internal network. We mainly talk about the network structure, the design of nodes and remote control of GPRS network. The system which is less peripheral circuits, small power consumption, easy to control and low cost, can be widely used in ordinary households.

The paper presents a new algorithm to design channel optimized vector quantizer(COVQ) based on the equidistortion principal and wavelet transform. The algorithm creates new codebook vector which is in the near place of the sub region with the biggest sub-distortion and then replaces the codebook vector with the smallest subdistortion with this new codebook vector, therefore to equilibrate sub-distortion of all sub regions. The algorithm achieves a significant improvement of COVQ performance under noisy channel, as confirmed by experimental results.

The GSM-R field strength testing system was designed based on switched Ethernet for the need of high-speed railway. The testing system is mainly used to test GSM-R field strength around the railway and speed of train is above 250km/h.System receives field strength data, display real-time curve, replay the curve and analyze field strength data. In the data gathering part of the GSM-R field strength testing system a circle queue model was used to process real-time field strength data. The GPS was used to get current geography information of the train and calculate its average speed in a certain period of time for reference. The field strength graph was drawn by the testing system software in simulation experiment.

Combining the current situation of the construction of software engineering and construction safety risk, this paper analyzes the importance of software engineering construction risk and evaluation. To ensure safety in the construction of software engineering, this paper presents the model of security surveillance based on ant colony algorithm. Then realize and simulate this model, and analyze the result. The model can quantify the project’s risk assessment, achieve security surveillance functions effectively.

Altera Quartus II software is a comprehensive development tool that integrates Altera’s FPGA / CPLD development process involved all the tools and third-party software interface, by using this comprehensive development tool, designers can create, organize, and manage their own design. In textile machinery needle-election spending-control system, this paper proposes a design of the equal duty ratio arbitrary integer frequency divider based on FPGA. it introduces the characteristics and application domain of FPGA in brief. Then it discusses a few traditional integer frequency dividers. Finally presents the frequency division theory and circuit design of dual modulus preset decimal frequency divider based on FPGA. The frequency divider is simulated with Quartus II.

Application of multi-agent to the field of Information Engineering Quality Surveillance (IEQS) will make IEQS adjust to the diversity and polymorphism of network environment better and make Information Engineering Surveillance (IES) enter the intelligent era. We can solve the problem of efficiency and business intelligence for IES through the research of multi-agent applied to quality control for IES. This paper firstly designed the function of Quality Control System (QCS) for IES and carried out the agent-oriented analysis and design of the system by using Gaia method. Moreover, the designed HMM was applied to the module of quality assessment. Finally, we proposed a plan to optimize the communication mode and strategy of the system model. The quality control hierarchy based on multi-agent designed in this paper to some extent has a sense of guidance to the development of future QCS for IES based on multi-agent.

Insurance agent has been playing an very important part in the development of insurance industry.but bad behaviour’s appearance restricts the unceasing development, If we want to lead the insurance agent to do as expected, It is necessary to study the contract. This article used the method of game theory and information economy to analyse the incentive contract, with the analysis results, we finally give some reasonable and feasible advice for insurer in order to make a better contract.

Aiming at problems in scientific research management of County Electric Power Bureau(CEPB), such as low efficiency in the management and without considering relevance among various details in working process cause repetitive work even cannot evaluate the scientific research level objectively, this paper puts forward “CEPB scientific research management/ Evaluation/Decision Platform system based on SSH and Ajax integrated framework ”. Then, the paper introduced the design of the system structure, function module, and choose the key skills to realize the system. The system can effectively improve the efficiency and standardizing of the scientific research management, and to realize the life period management of the scientific research work, to better serve scientific research person in power energy.

In this paper, a class of stochastic population system with fractional brownian motion (FBM) is introduced. The necessary and sufficient of optimal control to stochastic population system are provided. The analysis use e

Itôs

formula and stochastic maximum principle for our purpose.

SVM is the structural risk minimization of statistical learning theory developed on the basis of a pattern recognition method, based on limited sample information and the complexity of the model to find the best compromise between the generalization ability. As there is a supervised learning method, the standard SVM classification requires supervised learning algorithm based on the principle: from a limited number of labeled samples to learn the rules and the rule extended to the unknown non-tag samples.

With the help of wireless communications each automotive vehicle will be a unique node on the global communications network in the future. This vehicular communications network, in turn, will support interactions within the automobile, with the surrounding environment and directly with nearby vehicles. In summary analysis, using the multi-agent technology in the traffic control and guidance can effectively alleviate the problems which computing Collaborative too concentrated and the computational load big. In traffic control and traffic guidance systems, its consultative mechanism can collaborate with multi-objective optimization goal conflicts.

In order to alleviate the conflict among the economic development, energy and environment, the research and experimental analysis for electroactive polymers was done. The electroactive polymers were a new style of clean and efficient energy materials. Their performance and power principle were introduced. Meanwhile the application status at home and abroad was analyzed. The broad application prospects and development trends of electroactive polymers were revealed.

With the rapid increase in mobile users, the continuous optimization of mobile networks and the continual emergence of new business, Chinese mobile e-commerce shows the trend of rapid development, which is reflected in the rapid growth in business volume, increasing user acceptance, further subdivided user groups and so on. This article mainly described the concept of mobile e-commerce, its advantages compared with the traditional e-commerce, mobile e-commerce’s technology and features, the impact of 3G technology on mobile e-commerce, and mobile e-commerce’s security and trends. Then, the article analyzed the factors hindering the development of Chinese mobile e-business and put forward some suggestions.

This paper investigated the effect of design margin relaxation on overall circuit performance metrics such as operating frequency, area and power. From the experimental results, by designing the circuit using relaxed design margin, we can reduce the waste of design resources, and gain some advantages by using deterministic design infrastructure which is widely used in modern circuit design. In addition to these, if we apply post-silicon optimization to compensate the yield loss generated by design margin relaxation, the yield of the circuit can be raised to the target timing yield with area and power benefit.

Currently, with the popularity of cloud computing applications, the traditional way of evidence becomes outdated. Under the new forensic environment, it needs more ideas and means of evidence. Based on the analysis of cloud computing environment, this paper demonstrated the new challenges of the evidence in the cloud computing application environment. In the evaluation of the current new forensic technology, it proposed the method of migration of VM image as key data on the cloud. We carried out experiments in the cloud computing environment, and we achieved a prototype system.

As splendid traditional culture, Wu Culture plays a very important role in accelerating the constructing of school culture and human resources training. With the increasing demands for Wu culture resources of the vast teachers and students in scientific research and teaching, it appears so imperative and important to constitute digital learning resources of Wu culture. Digital media technology and internet technology are applied to do digital regulating, sorting, and developing of related resources of Wu culture, which is finally put into teaching and scientific researching activities. The constitution of digital learning resources of Wu culture, can effectively exhibited the kernel of Wu culture, better meet the demand of teaching and researching of teachers and students, besides, closely keep pace with the culture heritage digitalization home and abroad.

In order to better meet the demand of tourist guide resources in new age, digital guide training platform is designed. The existed problems and shortages of traditional simulate guide training system is expatiated, the procedure and demand of guide training is analyzed, and the method to constitute digital guide training platform is studied. This system is propitious for students to quickly master knowledge, improve guiding ability, and it can also efficiently cut down training expense, reduce managing risk, and largely improve teaching effect and efficiency.

The total time on test for censored data from an exponentially distributed population has been proved to be a prediction sufficient (or adequate) statistic by Nair and Cheng [10] in light of the works by Cheng and Mordeson [4], and others [1, 9, 12-14]. The test may be repeated for many times. As a result, since the total time on test until the r-th ordered failure time is observed will be recorded for each test, several total time on test (for censored data) for the same system are available for use in analyzing the reliability of the system. The main objective of this proposal is to create a statistical test for the parameter of the exponential distribution on the basis of the total time on test from censored data.

The way people interact in collaborative environments and social networks on the web has evolved in a rapid pace over the last few years. Web-based collaborations and cross-organizational processes typically require dynamic trust between people and services. However, finding the right partner to work on joint tasks or to solve emerging problems in such scenarios is challenging due to scale and temporary nature of collaborations. by calculates the pessimistic value of one path, the optimistic value of one path, and the comprehensive value in all path, the results obtained give a new method to estimate the risk probability of collaboration.

As the core equipment of UAV, the engine’s working conditions can directly affect the UAV flying safely and reliably or fly out. There is a need for testing the UAV’s engine real time, reducing security risks. Portable Testing System of UAV’s Engine, it takes PDA as PC, WINCE as the operating system, testing software designed by EVC. After test, the testing software can complete the test task.

Particle swarm optimization (PSO) is a relatively new swarm intelligence-based heuristic global optimization technique. Since PSO is easy to understand and implement, requires little parameter tuning and exhibits robust global convergence, it has become the target of increasing interest from scientific and engineering communities. In Particle Swarm Optimization, each particle moves in the search space and updates its velocity according to best previous positions already found by its neighbors (and itself), trying to find an even better position. This approach has been proved to be powerful but needs parameters predefined by the user, like swarm size, neighborhood size, and some coefficients, and tuning these parameters for a given problem may be, in fact, quite difficult.

Widely applies based on statistics background statistics extraction method in the movement examination product, but its shortcoming is also obvious, because uses the sole background model, this method antijamming ability is insufficient. The Gauss model has used many background model, but the model number had decided the method performance effect, the use too many model speech can reduce the system the efficiency. This article unifies statistics background extraction with the multi-color space, reduces during guarantee system efficiency comes from the environment disturbance. After the confirmation, this method may the effective suppression come from the disturbance which the light intensity change brings.

With the continuous development of data mining technology, to apply the data mining techniques to transportation sector will provide service to transportation scientifically and reasonably. In intelligent transportation, the analysis of traffic flow data is very important, how to analyze the traffic data intelligently is more difficult problem, so using a new data mining techniques to replace the traditional data analysis and interpretation methods is very necessary and meaningful, clustering algorithm is the collection of physical or abstracting objects into groups of similar objects from the multiple classes of processes. This paper describes all kinds of the data mining clustering algorithms, clustering algorithm is proposed in the method of dealing with traffic flow data, and applied to the actual traffic data processing, and finally the clustering algorithm is applied to each of highway toll station Various types of car traffic volume data analysis.

In order to reduce vibration and noising of the aircraft main wing through the active control algorithm, research of non-linear adaptive filter algorithm is very important. This paper carries out preliminary exploration research on Volterra LMS algorithm and RLS algorithm, compares this two kinds of algorithm in theory. The system parameter in slowly changing can be tracked in using Vloterra adaptive filter algorithm, and through simulation, the convergence speed of RLS algorithm is quicker than LMS algorithm, but it has large amount of calculation. In the future, traditional algorithm will have many shortages such as slow convergence speed and convergence precision, etc because of its complex non-linear characters, which will be the deeper research emphasis.

The genetic algorithms (GAs) are broadly applicable stochastic search and optimization techniques. However, there exists premature convergence phenomenon in some GAs. To overcome the deficiency, two improved genetic algorithms are proposed in this study. The first one is a hybrid algorithm of the genetic algorithm and downhill simplex method, while the second one is the combination of genetic algorithm and conjugate gradient method. Then, the mathematical optimization model of the 10 bar truss is built and both of the improved algorithms are identified by the numerical example and compared with the simple genetic algorithm. The simulation results indicate that the two purposed techniques show stronger robustness in finding feasible optimum designs than the simple genetic algorithm.

This paper based on heuristic genetic algorithm of bus intelligent scheduling research on genetic algorithm, and the specialization of each operator handling. This method makes full use of the characteristics of genetic algorithm, improved intelligence of bus intelligent scheduling and improved the operation efficiency and effectively improved the static scheduling of public traffic vehicles.

The integration of railway signaling and communication realizes the bidirectional information transmission between trains and ground control centers. In order to take full advantage of such information integration, this paper presents the integration architecture of train scheduling and control based on the model predictive control with the hierarchical structure of top (macroscopic), middle (mesoscopic) and bottom (microscopic) levels. The top level realizes the real-time train scheduling, the middle level guarantees trains to run with safety distances and implement the real-time operation plans produced by the top level, and the bottom level accomplishes the energy control and drives the trains to run according to the set-points engendered by the middle level. The proposed hierarchical feedback control can optimize the train operation, shorten the departure interval, improve the railway line density, ensure the safety of railway transportation, and eventually fulfill the Real-time, Automatic, Predictive, Intelligent Scheduling and control for hIgh-Speed Trains (RAPISIST).

Right now, wireless technologies is very popular. Because of using wireless technologies, many industries become more expandable like vehicle and transportation industry. PAPAGO or Garmin are the examples. Vehicles can get any kinds of information which they need from other vehicles or communication infrastructures, so governments can use this property to improve road safety, traffic management, driver convenience and related applications with services. In this article, we propose a secure anonymous identity generation mechanism and a secure anonymity trace mechanism. The anonymous identities combine with identity-based cryptosystem can realize basic security requirement and privacy protection in VANETs. The anonymous property is attached to the proposed mechanism to protect personal privacy and the anonymity’s real identity can be traced by police or law enforcement authority when necessary. The authors want to revise Wang’s

et al

. work.

This article is on the basis of three-level model, put related affairs result sets as synchronous processing model, it put the traditional tuple or affairs result sets which are taken as the synchronous granularity into related affairs result sets and according to related affairs conflict resolution strategy, reduce the amount of data synchronization transmission effectively, improve the efficiency that mobile database are in the use of wireless link resources. Meanwhile combined with the improved upload affairs queue structure, this article put the reading sets, write sets and result sets which are taken as form of affairs upload traditionally into the form of data sets and result sets, improve the output efficiency. Finally, through the simulation experiments, the improved model is compared to the traditional synchronous processing model, proof the superiority of this model.

The test of the altimeter is the important content for function measurement of the plane navigation system, Synthetically Altimeter Detector can make the some type altimeter test standardized, this paper introduce the overall design and system composition of the altimeter detector, we analyzed emphatically the software design procedure of the altimeter detector appearance, and carried on experiment test to some performance of altimeter detector finally. Practice indicates: the design of the altimeter detector has a sixteen bit D/A converter, it can improve detection precision, all microwave channels and fittings are installed within the instrument at the same time, such structure makes the instrument effectiveness further improve, have mistake of defending, the characteristic easy to use, have advantages such as good military and economic benefits.

The technique of spread spectrum communication is a way to deliver information, it has better anti-interference abilities. This paper introduces the basic principles and the structures of direct sequence spread spectrum, in the Systemview software we set up emulatioanal model of the spread spectrum communication, and joined Rummler interference channel and self-defining channel, then carry on emulation and analyze comparatively transmission of the spread spectrum signal in different channel, through research analysis certificate to the anti-interference ability of the spread spectrum communication.

Virtual reality (VR) is being applied to a wide range of medical areas. In the medical education field, VR technology provides a cheap and simple way to learn and practice pathology experiment in any place and at any time. This paper reviews the development of Virtual Pathology Laboratory (VPL) and listed the possibilities of this new type of tutorial application, and then describes the framework of a simple VPL system using virtual slides and 3-D specimen models. We hope this can give a hint on how to teach pathology experiment in colleges, especially for those less developed areas in China.

It’s an educational feature of our school to cultivate senior applicative engineering technical talents with a sustainable development. “Return to Engineering” and the cooperative education of manufacture, study and research are important methods to cultivate applicative talents and improve the educational quality on engineering students. Based on the analysis on “Return to Engineering” and the cooperative education of manufacture, study and research, the Paper makes a positive exploration and practice on talent cultivation mode, course system reform and practical educational system construction for mechanical majors, so as to develop the engineering application ability and awareness of students and improve their comprehensive qualities through “Return to Engineering” and the cooperation of manufacture, study and research.

The BAF loaded with new ceramic filter material was researched to treat wastewater in comparison with the BAF loaded with biogenic ceramisite agitator. The operational parameter was optimized such as hydraulic retention time, reflux ratio, backwash cycle, etc. The result showed that when the average influent CODcr was 135.6 mg/L, NH4+-N 42.1 mg/L and TP 0.69 mg/L, the removal efficiencies of The BAF loaded with new ceramic filter material were 81.2%, 99.8%, and 68.1% respectively at the condition of the HRT=1.5h. New ceramic filter material required less water to backwash and had better effect than biogenic ceramisite agitator at the same condition because its low density and strong mechanical robustness. The optimal backwash periodicity was two days and expansion coefficient was 20%-30%. The optimal reflux ratio was 150% when two BAFs were connected in series for nitrogen remove.

Based on the vision persistence principle, a novel clock with rotating LED display is developed. 8-bit microcontroller AT89S52 is used as the core controller. The rotating board is made up of the core controller, 20 LEDs and other components. Magnet is used to complete the synchronization. Each time the board passed the same place, a Hall Effect sensor perceived the magnet and generated an interruption. During operation, the microcontroller keeps track of time and changes the pattern of 20 LEDs with exact timing to simulate a 20x180 array of LEDs while the propeller is spin by the motor. The illusion of a flat image is produced by the moving LED array. The power source comes from the spinning armature of a DC motor since the clock is on a spinning piece of board.

The paper starting on page 84 of this volume is an almost exact duplicate of the paper starting on page 89. Both papers have been retracted.

The paper starting on page 89 of this volume is an almost exact duplicate of the paper starting on page 84. Both papers have been retracted.