Advances in Future Computer and Control Systems

As to accurately grasp the vibration state of the transmission lines, a monitoring system for Aeolian vibration of transmission lines based on ZigBee wireless communication technology and GPRS communication technology is developed, the system is mainly comprised of vibration monitoring module, base station and monitoring center, the design of hardware and software of this monitoring unit are analyzed. This system can monitor the Aeolian vibration of every monitored site on conductor with high efficiency and low power cost, it has a high application value.

Based on current Web collaborative annotation systems, the paper first analyzes the common features of tags in documents as well as context-awareness to extend the concept of tags and make mapping between ontology, then uses ontology reasoning to enrich the semantics of tags, to capture implied semantic information, and to find out the relationships between documents, it finally detects pseudo-relevance among different documents in order to improve the accuracy of knowledge retrieval and knowledge recommendation as well as the flow of knowledge among subjects.

Aiming at the characteristics which variable air volume air conditioning system is multi-variable, nonlinear and uncertain, we put forward a recursive wavelet neural network predictive control strategy. Through recursive wavelet neural network predictor on line established controlled object’s mathematical model, and using RBF neural network controller on line corrected information we get, thus to improve control effect. The simulation results show that recursive wavelet neural network predictive control has stronger robustness and adaptive ability, high control precision, better and reliable control effect and other advantages.

The composition of the mineral oil is complex. Especially mineral oil of 3D fluorescence spectra data dimension higher, more complex processing. In this paper, The method of kernel principal component analysis plus canonical correlation analysis (CCA) is used to do classify the spectroscopy data processed by the KPCA. Kernel method is used within principal component analysis, since CCA uses all the kernel principal component of the converted samples from KPCA, no discrimination is lost in the analysis.The experiment results show that it is effective to extract the main feature of the spectroscopy. The identification of the oils can be realized with high discrimination which is 94.11%.

Effects of NaCl stress on the germination characteristics of amaranth seeds were investigated. The results were as follows: the germination rate, germination potential, taproot length, length of hypocotyledonary axis and proline content of amaranth were increased at lower NaCl concentrations, but then decreased with the increasing of NaCl concentrations. Meanwhile, superoxide dismutase (SOD) activity was significantly increased under NaCl stress, but malondialdehyde (MDA) content was increased under higher NaCl concentration and had no significant change under lower NaCl concentration, compared to the control. These findings indicated that amaranth tolerates NaCl stress through increasing SOD activity and accumulating proline content.

With the Internet in the global business activities of the widely used and the continuous improvement of the campus network coverage, electronic commerce is gradually came into the university campus. College students, as a special consumer groups, has their own features in online shopping. But there exists some problems in campus e-commerce, such as electronic business enterprise not paying enough attentions to the market on the campus, college students’ spending power being low, the network security not being guaranteed. This article puts forward some strategies and advices to speeding up the construction of campus e-commerce and development through studies.

In this study, an artificial neural network (ANN) with a predictive model for the warpage of multi-cavity plastic injection molding parts. The developed method in this paper indicate that the minimum and the maximum warpage were lower than that of CAE simulation. These simulation results reveal that the optimal process conditions are significantly better than those using the genetic algorithm method or CAE simulation.

In outsourced database model, database faces potential threats from malicious database service providers. To provide correctness, completeness and freshness of query result sets, security mechanisms are needed to assure that queries are executed against the most up-to-date data, and the query results have not been tempered with and are authentic with respect to the actual data owner. As an improvement of the existing authenticated-data-structure-based method called chain embedded signature, a new integrity checking scheme is proposed. The scheme redefines the predecessor and successor tuples so that it can handle the situation with duplicate attribute values. Cryptographic dynamic accumulator is used to ensure freshness of query results.

Utilization plan of shunting locomotive is a complicated system engineering that is influenced by multitudinous factors, such as the time of arriving and departing trains, number of trains and so on. The optimization model was established using stratified sequence theory, and algorithms were proposed to this problem. And optimization goal of shunting locomotive operation was reached by adjusting the passenger carriage of the earliest possible placed-in and the latest possible taken-out time for garage. Meanwhile, tight connecting time and the shortest idle running distances of shunting locomotive were also taken into consideration to meet the requirements of the practical operation where delayed trains and extra trains can depart on time. Finally, a case study is carried out to verify the validity and applicability of this model and its algorithm, from the test results, it is shown that the operation scheme of shunting locomotives is not only balance, but also efficient.

Association rule mining in large amounts of data between sets of items found interesting or relevant associated contact is KDD (Knowledge Discovery in Database) is an important research topic. CRM is to achieve the needs of customers and to enhance the strength with customers for enterprise. This article describes the basic theory of association rule mining knowledge. This paper proposes the application research of CRM in e-commerce based on association rule mining. Algorithm analysis and experiments show that the methods proposed consumes less space and time than Apriori algorithm for the dense data.

Access Control Unit (ACU) system is one of advanced security facilities accepted by modern buildings, which is regarded as an important symbol of modern building’s intelligence. Embedded operating system of

μ

C/OS-II equipped with TCPIP protocol is transplanted into LPC2214 controller, from which two kinds of communication types (TCPIP & RS485 ) are achieved in ACU. The ACU has not only normal access control functions, but also a series of complicated functions such as anti-trail, anti-hide, anti-intimidate, remote open door and so on, which can satisfy different customer’s requirement.

The emergence of cloud computing provide the medium enterprises many low-cost mass data analysis solutions. Decision tree algorithm in which one of the biggest problems is its computational complexity is proportional to the size and training data, resulting in a large number of computing time in constructing Data Set. The article aim at the SPRINT algorithm based on the Hadoop platform, presenting a parallel method of constructing a decision tree and then solving the parallel problem in Hadoop platform.

with the growing demand for the safety, reliability and efficient transmission of the vehicle electrical system of the cars. The traditional bale of wire has unable to meet the needs of the tradition. An auto electrical system based on CAN bus is introduced, which used a core controller S3C2440 based on KC-6 DFSTN2000 experiment platform. And the hardware and software design of CAN-bus control system is designed in detail. The experimental results show that the system has high accuracy and stability relatively and the system design is reasonable and feasible.

Enterprise business intelligence has solved many problems of massive data analysis for business decision-making. With the growing popularity of 3G mobile and its communication devices, it is impossible for businesses or other organizations to implement mobile business intelligence. As current hardware and software facilities for most traditional business intelligence systems cannot be simply applied to mobile appliances, this paper first proposes a lightweight framework for mobile business intelligence under 3G communication standards, then describe in detail its physical and logic architectures both in the server side and mobile terminals, finally provides its implementation solutions by using Pentaho and Android platform tools.

This paper presents a hybrid internal model control (HIMC) for SRM drive system. The HIMC is integrated with an internal model, feedback linearization technique, and filter technique, such that the control system of SRM is convergent and robust against parameter disturbances and plant-model mismatches. The internal model of SRM is established based on the estimated derivative of speed and torque, so the speed ripple can be reduced. Simulation results demonstrate that the HIMC in SRM drive system can effectively reduce speed ripple, and it is highly robust to parameter variations.

Aiming at the problem that the intelligence is not high of the soccer robot control system, this paper not only simplifies the design of the soccer robot control system but also enhances considerably its reliability and performance, which included a core controller based on TMS320F2812, introduced BLDCM control circuit and driver circuit with energy materials, designed a fuzzy PID controller. Experiments show that the new soccer robot controller features a quick response, high control precision and high servo rigidity.

This paper proposes a dynamic web combined method supporting service quality restraint based on service chain, which selects all involved services as alternative service collection through data stream analysis according to the real time requirements provided by the users. After that, this method can construct reversal structure service chain based on above to meet user’s requirement. In the process of combination, this method considered the supports to service quality, recorded the invocation dependence of service in usage, and outputted all the services used and topological structure after running. So the dynamic combination of web service with service quality restraint is realized. This method can make sure the feasible solution and optimal solution be found, and also can handle with the combination structure of branch, polymerization and recycle well. Simulation and model test verified the method mentioned in this paper.

This paper focuses on the different user community EPON(Ethernet Passive Optical Network) access scheme design, first introduced the PON access, PON access technology according to the different data link layer technology mainly divided into APON(ATM+PON), EPON (Ethernet+PON) and GPON ( ATM/GEM+PON ), EPON can carry data services, voice services, IPTV, CATV as a professional, so we adopt EPON technology as the area of the access technology. According to the area of different user’s demand for bandwidth and different access methods, selection of optical network terminal, beam splitter and optical network unit equipment, the final design of the area network access scheme, and in the area of optical power loss making a budget. Finally the scheme used by the equipment and its configuration command is introduced in detail in this paper.

In order to solve the difficult problems of agricultural information retrieve and improve the efficiency of intelligent retrieve, the paper studied the application of ontology, introduced principles of ontology construction and ontology process, then developed the retrieve system with the help of intelligent searching technology, which can be integrated with the traditional retrieve systems, greatly improving the semantic support and performance of retrieve system, developing the implicit knowledge in the mind of the users, standardizing and improving the information demand of the user. The practice has proved that the ontology technology in the agricultural information greatly promotes the accuracy and reliability of the agricultural information retrieve.

For the traditional ARMA parameter estimation method in practical applications, there will be too computationally intensive solution non-unique, and the estimated algorithm unstable, fuzzy system identification using higher order statistics on the estimated MA model parameters, then disconsolation algorithm to estimate the original image improvement algorithms; the same time, the introduction of the Radon transform two-dimensional image projection of the one-dimensional projection of the image under a certain angle, effectively reducing the algorithm computational complexity, simulation experiments show that the algorithm achieved good results.

The availability of cluster system with multiple nodes was investigated by taking common mode failure (CMF) into account. Firstly, the availability of system with one cluster node was analyzed. Then on the basis of analysis, contraposing to the cluster system with two nodes and three nodes, four continuous time markov chain (CTMC) models in the case of No CMF and in the case of CMF were constructed respectively. Moreover, numerical comparison of steady availability for these two cases was conducted by solving related linear equations and the conclusion on the priority and inferiority comparison of different cases is derived thereby, which offers theoretical foundation for establishing cluster systems.

Aluminum electrolysis is a process of nonlinear, time varying and large time delay, and it is difficult to control, high energy consumption. Therefore, aluminum electrolysis control system’s hot issue is to save electric energy, to improve current efficiency. We proposed composite fuzzy neural network control method which combined neural network control and PID control, through tracking parameters of cell resistance which reflected alumina concentration, to adjust control strategy of controller, to control feeding quantity of alumina feeding device, so that we can control alumina concentration in ideal range. Experimental results show that: this method has good control performance and energy-saving effect.

Sequence stratigraphy division is important steps in petroleum exploration and development, logging data is the reflection of lithology and physical properties, which contains a large amount information of periodic changes in the sequence stratigraphic. In this paper, we analyze the logging signal by wavelet transform and spectral analysis, based on the law of optimal scale and optimal scaling factor corresponding to the energy spectrum on the frequency band that occupies the maximum proportion of the total energy, the method of normalization maximal energy spectrum is put forward. Use this method to select the optimal scale factor and wavelet coefficients corresponding to it after transforming the logging data by wavelet, and then divide the sequence stratigraphy according to the cyclicity of this wavelet coefficients. The method has further improved the objectivity and accuracy of sequence stratigraphy division.

The migrating workflow is a new direction within the workflow management area. The access control model in a migrating workflow system is one of the most important areas in the research. In the traditional access control model the instance needs to apply permission in each site. In this article, we present the conception of sites’ service alliances (SA) into the migrating workflow system to reduce the cost of access control. In the system, there are several s. The sites which belong to the same provide same service and resource to the instance. With conception of sites’ service alliances we adapt the migrating workflow system model and present a new access control model on it. In the new access control model, the instance applies permission for a sites’ service alliance. So the instance does not need to apply permission in each site. The cost of access control is reduced largely.

With the deep research of galvanic coupling type intra-body communication, the development of sensor technology, using a sensor in the service of mankind is a very important subject. According to the quasi static galvanic coupling characteristics, the sensors distributed in the tested signals site, detected biological signals, converts the signal into a galvanic signal; the sensor as the transmitting electrodes to transmit signal to human. The improved PDA contact with the body in any part of the body, will become the received sensor signal, thereby restoring signal. Sensor, PDA formed body communication network in the connections of human body.

Educational exchange is an important part of diplomatic cultural affairs, which occupy an important position in international relations, and it is an important part in one country’s foreign policy. In the context of economic globalization, Traditional international educational exchange and cooperation can not meet the need; we must seek new areas of development. Ontology-based Educational Exchange Web Platform (OEEWP) is an important tool to obtain, share and use of educational resources. This paper analyzes the origins and meaning of ontology, and application of domain ontology in educational exchange. Based the research of ontology and domain ontology at home and abroad, OEEWP model is been constructed.

One of the important changes of Chinese international promotion is turn face to face paper-based teaching methods to take advantage of modern information technology, multimedia network teaching. Currently, non-native Chinese learners are increase year by year, and the more and more learners have high-level Chinese ability, which demand a higher level quality of teaching Chinese language. By combine modern network technology and traditional teaching methods, we should explore new teaching platform system to adapt to the new situation requirements of Remote Chinese International Educational (RCIE). This paper analyzes the concepts of “RCIE”, “Interactive” and “Interactive Teaching”. Based on the characteristics of the non-native learners of Chinese, the design principles of Interactive teaching of RCIE were been analysis. Teaching Platform System of RCIE were been construct in view of the interaction theory.

The aim of this paper is to evaluate the energy-saving potential of pilot projects for renewable energy buildings integrated with solar water heating systems or ground source heat pump systems. A simple equation based manual calculation method was adopted. Results show that renewable energy application in buildings contributes to a great potential in reducing energy consumption and greenhouse gas emissions.

The purpose of this paper is to investigate the energy and thermal performance of west-facing rooms using building simulations. Results show that solar shading for west-facing room is extremely important and should be taken prior to other design options. Heating energy can also be decreased by lowering the operating set point of air-conditioners without reducing occupant thermal comfort.

Scientific and technological (S&T) statistics takes more and more important part in college S&T daily working. According to the statistical requirements of annual report on the college S&T statistics, this paper proposes college three S&T statistical assessment levels in colleges. It also gives some index of statistical data about a college in recent five years and puts forward some charts and analysis results based on the relevant statistical data. From the analysis charts, we can analyze in detail the college S&T development state, level and trend, and provide a scientific reference in college S&T management while drawing up more objective and realistic incentive measures, even promote college S&T management innovation.

This paper analyzes the relation between China’s social security system and household savings using dynamic panel model. Empirical results show that, there is a positive relationship between pension expenditure and household savings, but there exists non-significant negative correlation between unemployment insurance, medical care insurance, maternity insurance and household savings. In addition, empirical results also show that, income elasticity and inertia of household savings in China are large, and the relation between ratio of education and medical expenses and the savings is significant negative, however, there exists only weak positive correlation between economic growth and resident savings.

The high stability is required in the process of target detection system. A video monitoring system based on JPEG2000 for target detection is developed in the paper. Firstly, the image-based video compression method and streaming-based video compression method have been compared. And then a comparison of still image compression algorithm based on JPEG2000 standard and traditional JPEG standard has been made. The experimental results show that the video monitoring system based on still image compression has higher stability and low error influence than based on video streaming compression. And JPEG2000-based compression algorithm has better performance than traditional JPEG-based compression algorithm in the condition of low bit rates.

A design scheme for shortwave broadband OFDM system based on Raptor code is proposed. Raptor code is utilized to improve the channel capacity and erasure performance, as well as increasing the bit-rate. In addition, OFDM is applied to increase the spectrum efficiency of the shortwave broadband communication system. The experiment results demonstrate that the proposed system has the better performance on error resilience and the transmitted bit-rate.

The selection of the initial points influences greatly on the results of traditional partition clustering algorithms. If the algorithm starts with improper points, it will return a local minimal value. A novel weighted Fuzzy C-means algorithm (shorted by DFCM) was proposed to overcome the shortcoming. Its accuracy and effect are improved through the calculation of the relative density differences attributes, using the results of the center to determine the initial method for clustering. The numerical experiments proved that the DFCM algorithm not only can obtain better results steadily but also can distinguish the importance of each attributes.

This paper analyzes the relation between financial development, urban facilities and China’s urban household consumption using dynamic panel model. The empirical results show that the expansion of the size and efficiency of financial institutions has a delayed impact on household consumption, but the effect of urban facilities is not clear. Except coverage rate of tap water, coverage rate of gas and per capita public green area, the effect of other 3 variables are not significant. Besides, we also find that education and medical expenditure and house price have significant effect on household consumption, but don’t find powerful evidence of the effect of macroeconomic and demographic factors.

As the advanced hardware, SoC, System on a Chip, is a research hot point of embedded systems. The reconfigurable SoC, RSoC is a useful solution for some embedded applications with high reliability requirement. In this paper, the organization and design of a RSoC are discussed. The organization is focus of single MCU cores. The design is based on PLD, programmable logic device and hardware description language.

In term of spares demanded and shared with different lifetime distributions, using the simulation method, simulation model of spares demanded and shared are build. Simulation model of spares demanded solves the problem of demand quantity of spare parts with non-exponent distribution of lifetime distribution, comparing with the tradition mathematics analytical model more simple; simulation model of spares shared solves the problem of demand quantity of spares shared with different lifetime distributions. At the same time the model solves the problem of demand quantity of spares of serial system with different types of parts. The work expands the range of calculating demand quantity of spares. Finally, the results of computer simulation and analytical method validate its effectiveness and correctness.

In this paper, a class of nonlinear time delayed genetic regulatory networks (GRNs) is investigated from an adaptive filtering approach. For GRNs with time-varying delays and uncertain noise disturbances, several adaptive laws are derived to ensure the stochastic stability of the error states between the unknown network and the estimated model. Based on Lyapunov stability theory, the proposed adaptive laws are demonstrated to be effective. A simulation example is provided to verify and visualize the theoretical results.

Rapid development of distance education enables intelligent interaction as an important part to utilize resources in knowledge database of distance education network and to automatically answer questions from students. It can also improve teaching efficiency and quality. Therefore, intelligent interaction system also becomes a research focus. The proposed system represents relation among words by establishing natural language thesaurus database. It returns the closest answer by computing similarity among questions. Key techniques as natural language processing, semantic analysis and fuzzy matching to implement intelligent interaction system were also presented.

In order to find community structure that exists in complex network structure, this paper introduced K-means approach to the complex network community structure of the research. This paper studies the complex network of community structure detection algorithm, through the existing algorithm learn and study, proposed an improved algorithm based on K-means. Not know the premise of community structure for the complex networks division, the algorithm is simple and easy to understand, and the algorithm was used in karate network, through experimental verification, experimental results show that the algorithm is effective.

This paper is concerned with the well known Brusselator system. For the spatial homogeneous model, the existence of Hopf bifurcation surrounding the interior equilibrium is obtained. Moreover, the direction of Hopf bifurcation and the stability of bifurcating periodic solutions are established. Our method is based on the center manifold theory. For the model with no-flux boundary conditions, the diffusion-driven instability of the interior equilibrium is studied. Finally, to verify our theoretical results, some examples of numerical simulations are included.

Face recognition is a fundamental problem in many image processing tasks. Discriminating feature extraction and classifier selection are two key issues for face recognition approach. To effectively cope with the above two problems, a novel face recognition algorithm is proposed by using locality preserving projection and manifold adaptive kernel logistic regression. The experimental results on two face image data sets show that the proposed algorithm performs much better than the other popular face recognition algorithms in terms of recognition accuracy.

In this paper, we investigate a diffusive predator-prey model with Beddington-DeAngelis functional response, which is subject to homogeneous Dirichlet boundary conditions. Based on the fixed point index theory, a good understanding of the existence, uniqueness and stability of positive solutions is obtained when

b

is sufficiently small. We always reduce the proof of uniqueness and stability to the proof of the fact that any possible positive solution is non-degenerate and linearly stable.

Document clustering has received a lot of attention due to its wide application in many fields. To effectively deal with this problem, a new document clustering algorithm is proposed by using marginal fisher analysis (MFA) and improved support vector data description (SVDD) algorithms in this paper. The high-dimensional document data are first mapped into lower-dimensional feature space with MFA, the improved SVDD is then applied to cluster the documents into different classes in the reduced feature space. Experimental results on two document databases demonstrate the effectiveness of the proposed algorithm.

Brain tumors are the second leading cause of cancer death in children under 15 years and young adults up to the age of 34, early detection and correct treatments based on accurate diagnosis are important steps to improve disease outcome. In this paper, a new method for brain tumors identification based on quantitative three-dimensional shape analysis is proposed. According to the character of magnetic resonance imaging (MRI) data and doctor’s clinical experience, we defined three two-dimensional shape descriptors correlating with tumor type from different points of view; on this basis, four three-dimensional shape descriptors were defined to realize the automatic classification of brain tumors. The experiment result demonstrates that these shape descriptors can well represent the tumor character. The classification accuracy of regular/irregular tumor is 93.93% and that of benign/malignant tumor is 87.14%. To regular benign (RB)/regular malignant (RM)/irregular benign (IB)/irregular malignant (IM), the classification accuracy is 86.43%. This method can be used as a clinical image analysis tool for doctors or radiologists to tumor identification.

Due to the defects of traditional water assessment method, this paper constructs a model based on genetic neural network model. This paper analyzes the BP neural network and the basic principles and characteristics of GA, Discusses the theoretical foundation of optimizing the weights and thresholds of BP neural network based on GA, This model is used to actual water evaluation, which proved the optimized neural network based on GA has been improved in convergence rate and convergence property. The results of the evaluation with the actual water quality results and fuzzy evaluation method, evaluation results of the index evaluation are compared, the results show that the genetic neural network model is suitable to water Evaluation.

The measuring accuracy of the TDR cable length measurement system relies on the recognition of the reflected wave. The reflected wave is susceptible to be affected by noise and the reflected wave detecting error is comparatively large. In order to correctly identifying and detecting the reflected wave, this dissertation studies four reflected wave recognition algorithms, which are established according to the threshold method, centroid method, polynomial fitting method and the wavelet modulus maxima method respectively. The advantages and disadvantages of these algorithms are analyzed. The repeatability and accuracies of the reflected wave arrival time for these algorithms are compared through practical applications.

Traveling wave velocity is the key to the measuring accuracy of the time-domain reflectometry cable length measurement system. The velocity value is affected by many factors. In order to reduce the velocity frequency characteristics impact on time-domain reflectometry cable length measurement system, the effect of frequency on traveling wave velocity is studied, the velocity curve of traveling wave as a function of frequency is established. The traveling wave velocity in coaxial cable as a function of cable length is measured. The experimental results show that the signal frequency is different in different cable lengths because of attenuation and different frequency corresponds to different velocity.

Intelligent algorithm is simulated biological theory of intelligent systems constitute a new type of information processing technology, has been widely used in industrial engineering, information processing and other fields. In recent years, in the field of image processing and analysis, intelligent algorithms are also widely used technology. In this paper, intelligent algorithm technique in medical image segmentation, image registration and the application of computer-aided technology and research are reviewed, representative described techniques and algorithms.

The establishment of a set of information technology patent value evaluation system can not only solve the core problem of patent transaction, but also effectively promote the patent as the embodiment of the value of intangible property. This research firstly studies The application model of option pricing, including Pricing method and A general paradigm; Then, it analyzes The influence factors of Information technology patent value, including Economic factors and Profit factor. Information technology patent value evaluation index based on the option pricing, including the design of quantitative index and the design of qualitative index. Finally, it makes suggestions about Future prospect.

An ordering system can help restaurants to increase the efficiency in ordering process. In this paper, we designed and implemented an ordering system for restaurants based on 3G platform. The system provides both customers and waiters a customized handheld 3G terminal to view up-to-date menu and issue ordering commands, and the system will quickly forward the order to kitchen to notify chefs to prepare dishes. With this ordering system, restaurants can greatly reduce operation cost, and improve their customer satisfaction.

Based on technology acceptance model and innovation diffusion theory, this research proposes a model to examine how university students intend to use online courses. The model is empirically tested using an online questionnaire survey. The research results indicate that perceived usefulness, perceived ease of use and teachers’ induction are significant antecedents of university students’ attitude to online courses, which further prominently positively affect their intention to use. This research also finds that the positive effect of perceived innovation compatibility on attitude has been almost completely mediated by perceived usefulness. But computer self-efficacy doesn’t have remarkable positive effect on the attitude to online courses.

Computer self-efficacy plays an important role in the acceptance and use of new information technology. However, little is known about the antecedents of computer self-efficacy. This research proposes a model to probe into which factors affect university students’ computer self-efficacy. The model is empirically tested using an online questionnaire survey. The research results indicate that encouragement, anxiety, openness and agreeableness are significant antecedents of computer self-efficacy. Taking gender into account, our research results show that agreeableness is significantly related to computer self-efficacy for female but not for male, and that openness is significantly related to computer self-efficacy for male but not for female. Interestingly, encouragement has a more significantly positive effect on computer self-efficacy for male students than for female ones.

Based on researches of traditional ant colony optimization algorithm and its various applications, the optimization efficiency of algorithm was improved by optimizing movement rules of single ant and parameter selection. The algorithm was then applied to remote sensing image classification. Combining with characters of remote sensing image, an ant colony clustering algorithm based on entropy and pheromone was presented, which uses defined ant pheromone and short-term memory to correct its random movement. The information entropy was used to compare and replace group similarity and probability conversion function in traditional algorithm. The feature selection was optimized continuously to achieve better algorithm and efficiency improvement. Simulation experiment results also verify the effectiveness and feasibility of algorithm.

The scheme of measurement and control for manipulation signals of vehicle driving simulator is introduced in this paper. The signal processing circuits for steering angle, throttle opening, clutch travel and brake travel are given. The synthesis methods of engine rotation rate sinusoidal signal, speed/mileage pulse signal and steering force PWM driving signal are analyzed. The interface circuit of RS485 communication is presented.

A way of fast 3D modeling and deformation driven by 2D template is presented to realize fast conceptual design and avoid some defects of reconstructing 3D models from 2D sketches, such as irregular sketched contour and immature sketch recognition techniques. The fish entity is taken as an example for experiments. According to the shape characters of various fishes, a 2D fish contour was drawn with Bessel curves and some control points were set in 2D template to modulate various parts of the size, shape and location of the fish. The experiment results show that this method can create various 3D fish models rapidly and improve the digital display of special necessities for ethnic minorities significantly.

The two-phase flow measurement plays an increasingly important role in the real-time, on-line control of industrial processes including fault detection and system malfunction. Many experimental and theoretical researches have done in the field of tomography image reconstruction. However, the reconstruction process cost quite long time so that there are number of challenges in the real applications. An alternative approach to monitor two-phase flow inside a pipe/vessel is to take advantage of identification of flow regimes. This paper proposes a new identification method for common two phase flow using PCA feature extraction and SVM classification based on electrical resistance system measurement. Simulation was carried out for typical flow regimes using the method. The results show its feasibility, and the results indicate that this method is fast in speed and can identify these flow regimes correctly.

The traditional information recommendation of E-commerce could not satisfy current E-commerce enterprises and users’ needs. This paper divided E-commerce users into new users and other users. It proposed the recommendation strategy based on user segmentation. On the base of these, it designed a personalized information recommendation system of E-commerce, namely, PIRSE. The experimental results indicate that the recommendation strategy is feasible.

In this paper, an H-infinity control with a cooperative weights neural network is proposed to realize the synchronization of two gap junction coupled chaotic FitzHugh-Nagumo (FHN) neurons. We first use a cooperative weights neural network to approximate the unknown nonlinear function. Then we employ the H-infinity control technique to attenuate the effects caused by unmodelled dynamics, disturbances and approximate errors. Finally, by Lyapunov method, the overall closed-loop system is shown to be stable and chaos synchronization is obtained. The control scheme is robust to the uncertainties such as unmodelled dynamics, ionic channel noises and external disturbances. The simulation results demonstrate the effectiveness of the proposed control method.

To ease the management of virtualized distributed grid systems, it is important to develop an information service to deliver the resource information and system status. This paper focuses on target system model and high level information requirement. By studying the information’s collecting, translating, providing and indexing, we build an information service architecture for the grid infrastructure that consists of distributed virtual machines.

Based on the main technical characteristics and functional classifica-tion of contemporary intelligent community as well as the profound inter-pretation to the management system of public information, the construction of public information network platform in intelligent communities with outdoor activities and its technical roadmap are proposed. Moreover, with the advances of modern multimedia and network communication technology, the virtual and realistic public activities are connected to improve the neighborhood relations, dispel social differentiation and promote the social integration.

A blind image restoration method is proposed to estimate the high resolution image when the point spread function (PSF) of the imaging system is unknown or partially known. Firstly, the Gaussian PSF of the degraded image is estimated through Wavelet transform method. Then, utilizing the estimated PSF, high resolution image is estimated through Wiener filtering image restoration method. In order to justify the influence of PSF estimation on the quality of the restored image, image restoration is performed on different PSF. Experimental results show that the deviation of the Gaussian PSF is estimated with high accuracy, as well as that the PSNR and quality of the estimated image increase around the real PSF.

3D environment modeling achievement gives important reference for mobile robot navigation and dangerous situation searching. In this paper, we present a method that acquire 3D model for indoor environment with hybrid of laser range finder and range camera. 3D laser point cloud can be obtained by the coordinate work between the 2D laser range finder and a pan-tilt. RGB along with depth information can be provided by range camera for every pixel, which provides fast matching for the registration between the laser and pixel point cloud, and finally achieves accurate 3D model for the environment with RGB and exact depth information. We evaluated our method on indoor scenes with different contents, and the results shown the effectiveness of the method to provide fast and accurate model for indoor environment with vision and depth information.

With the enlarging of the production scale, the top of the monitoring software need connect more the lower local equipment to achieve process monitoring and control, this needs more software support of device driver, and the change of the hardware’s features need to write another new driver, which undoubtedly increase the burden of the software developers, at this time, OPC standard arises in this market condition. OPC provides a standard, open, seamless connection and unified interface. In this article, they developed a configuration program based on OPC technology. That is, through the definition of OPC equipment, which is done in the Kingview, people can put the site signal and monitoring and control software conveniently to link up, which can realize data exchange and easily sharing.

In this paper, a nonlinear synchronization scheme for a new hyperchaotic system is presented. Based on the Lyapunov stability theory, the error system is stable under the proposed method, and the error states tend to zeros rapidly. Finally numerical simulations are provided to show the effectiveness and feasibility of the developed method.

To better solve the complexity and diversity in data integration, we propose a new idea of data integration platform based on SaaS service. Firstly, we analyze the situation of today’ data integration. Secondly, We give the model architecture of data integration ant its work principles. Thirdly, we analyze the model’s characters. This model of platform is more intelligent, efficient and personalized in solving complicate data integration.

Recently SOA is a research hot because it is open and flexible. But all people only concern its application in a certain field. Almost no one puts forward a general method for different field systems. Also there are no service-oriented developing software and tools. This paper proposes a method for the development of management information systems based on SOA. Business process can be designed by interactive interface. Users can complete the system design by simply mouse dragging action.

This study constructs a primary evaluation system of forestry circular economy and also determines a scientific and objective evaluation method. This paper indicated the principles of constructing the evaluation system and the characteristics of forestry circular economy, used qualitative and quantitative analysis methods, and then worked out the evaluation system which including one target, three kinds of guidelines indices and seventeen specific indices and the evaluation method of principal component analysis.

As social market changes constantly and competition among corporations becomes more and more serious, there is an urgent need for the telecommunication companies to take full advantage of detailed business data of various subsystems of telecommunication marketing, through the comprehensive analysis of a large number of detailed authentic historical data to grasp the telecommunication marketing conditions of the whole company timely and accurately, and scientifically predict the trend of the telecom marketing development. The plan focuses on how to build a data warehouse and how to use data analyzing tools for decision support. In the plan, the aided decision support system consists of three parts: data warehouse system, data extraction, transformation and load tools (ETL) and aided decision support tools. The system provides an integrated solution to making efficient and high-quality aided decision support of telecom marketing system.

The principle of self-adaptive rule factor fuzzy controller is introduced and self-adaptive multi-rule factor fuzzy controller is designed. The fuzzy controller is simulated with fuzzy toolboxes and Simulink environment in Matalab. It is applied to the NC feeding servo system and the results show that the dynamic performance and stable deviation of control system are improved.

A driving circuit in transient electromagnetic instrument is designed based on CPLD. In the circuit, the transmitting waveforms are generated by CPLD and the synchronization is implemented by wired. In addition, the gate driver IR2110 for the power switch devices is employed to control the high-power MOSFET for driving the H-bridge. Compared with the reference circuit, the generated waveform of the proposed circuit has short turn-off time and high current. The testing results show that the proposed circuit has a better performance on driving the coils. The transmission delay is reduced and the measuring accuracy is further improved to deepen the detecting depth.

ISO/IEC 18000-6C has been used in different applications and comes in myriad of forms today. The UHF RFID reader based on the ISO/IEC 18000-6C standard has been discussed in this paper. The reader’s key issues of RFID reader’s architecture and baseband design are studied. The proposed FPGA based baseband platform could implement physical layer and tag-identification layer. This form of baseband design can efficiently reduce the design time and development cost, FPGA could meet the complex requirement and flexiable apply to different standards.

In order to recognize the modulation signals when the single-channel receiver works under multi-component signal (MCS) environment, a novel approach which can directly extract the feature invariants of each independent component is proposed for the multi-component PSK signals. Firstly, the difference between the modulation methods for MCS and single signal is analyzed. Furthermore, the spectral correlation function of MCS is deduced, the method of the feature extracted is proposed. Simulation results verified that the proposed algorithm can extract the features of each independently components without disturbance, and it can effectively identify arbitrary combination of dual-signal in the given signal set.

Power devices and its control circuit in inverter of BLDCM’s speed regulation system is the weak link most likely occurs fault. Fault feature extraction is the key to fault diagnosis. The output voltage of BLDCM’s inverter is the most sensitive characteristic parameter, which can reflect inverter’s work state directly. Extracting it’s spectrum by using improved windowed STFT, fault detection and diagnosis can be achieved. Simulation results demonstrate the effectiveness of this method.

As an efficient index structure, Streamline Dynamic Successive Trees (SDST) is very suitable for Chinese information retrieval. Given the dependencies between terms in SDST and Chinese scenarios, we present a new bigram-centric pruning strategy and corresponding algorithm, utilizing our improved BM25 formula, to decide whether certain index information should remain in the index or not. This technology can be used to significantly reduce the size of SDST index, and still gives good enough answers. Thus, we make SDST index model more applicable in Chinese information retrieval.

This paper discuss the generation of uniform droplets with DOD dsdroplet. DOD droplets generation system with an adjustable function generator based on PC and software of LabVIEW was setup. For comparing the droplets ejecting process, four type of adjustable signal were used to drive the DOD droplet generator. Finally, the experimental and simulated results of the droplets formation were discussed.

Proceeding from the particularity of equipment procurement in the nuclear power project, combined the reward system phenomenon exisiting in the supply chain of the nuclear power project,the complete information twostageStackelberg master-slave game theory is applied to set up the equipment procurement model in the nuclear power project. By analysing and comparing with the results of the model, we finally conclude the scope of the application of the reward system, the relationship between the reward system and the delivery time, the parameters which affect the delivery time, and justifythe JIT equipment procurement model with reward system existing in the nuclear power project in theory.

For an urgent situation that the public need applications for geographic information in the process of informatization construction[1], we do an experiment on the technique of automatic image matching based on vector data of non-linear transformation[2], in order to propose an registration method of automatically getting control points for image matching from a security perspective. It can not only achieve a better registration effect between image and vector, but also save a lot of work on massively artificial selection of points, which provides valuable practical experience for the security of remote sensing image data processing.

To improve the economic benefit is the goal of electric power enterprise pursuit of the goal, is also the basic guarantee for the survival and the development of the enterprise. Enterprise must fully realize all the kinds of risk, establish and improve the risk control mechanism, prevent the risk that occur in the development process of enterprise. So the risk management is particularly important. The better the risk management of engineering project, the better the performance of the corporation. This paper introduces the main source of risk management of the power engineering project and puts forward countermeasures.

In the alliance of the manufacturer and TPL, the manufacturer logistics service would exist in supply short risk because the market demand which the manufacturer facing was uncertain. The coordination of logistics alliance was studied with uncertain logistics demand. Firstly, the decision behaviors of the manufacturer and TPL were analyzed in decentralized decision. Then the results between decentralized decision and centralized decision were compared, and found that decentralized decision couldn’t reach the performances of centralized decision. The coordination mechanism based on cost-sharing was proposed. The analysis results of the coordination model indicated that the Pareto improvement of logistics alliance parties and the optimization of whole alliance could be achieved by designing appropriate cost-sharing ratio.

With the rapid development of the economy and society, people living in the city are faced with increasing pressures of life and working, thus leading to increasing risky driving behaviors, which severely threaten the driving conditions and the property safety of traffic participants. Therefore, it is a brand new start of traffic safety research to evaluate and sort different types of risky driving behaviors. Based on the statistics of traffic accident, we established a model base on fuzzy comprehensive evaluation to evaluate the influence on the vehicle damage under different risky driving behaviors. Through calculation, we can see that the risk degree of different risky driving behaviors based on the vehicle damage ranged in descending order as follows: risky lane changes, illegal occupation, frequent lane changes, illegal turning, inadequate longitudinal separation, rolling on markings, illegal u-turning, violation of signal and rolling on stop lines.

A supply chain with time-sensitive demand is discussed in the paper, which is consisted of a AM (assembly manufacturer) and a CS (component supplier). The R&D price subsidy strategy in supply chain with symmetric information structure was first discussed. Then the R&D price subsidy strategy in supply chain under asymmetry information about CS’s R&D ability was discussed. Some study conclusions which were drawn from a numerical example show that under symmetric information, the higher R&D ability of the CS, the less amount of price subsidy of the AM, and the profit of CS reduced too. But under asymmetry information, in order to stimulate the CS, the AM has to pay additional cost for the unknown R&D ability of the CS, this results in the increase of the amount of price subsidy, and the reduction of the AM’s profit, while the profit of the CS increases due to holding private information. As a result, the whole supply chain coordination can not be achieved.

It is shown that there exists a frame wavelet with fast decay in the time domain and compact support in the frequency domain generating a wavelet system whose canonical dual frame cannot be generated by an arbitrary number of generators. We show that there exist wavelet frame generated by two functions which have good dual wavelet frames, but for which the canonical dual wavelet frame does not consist of wavelets, according to scaling functions.

Visual informatics, as a subject concept proposed in the early 90s, is a new interdisciplinary area to study theories, techniques and applications of imaging science systematically. Its research method correlates with mathematics, physics, physiology, psychology, information science, electronics and computer science. Its research scope overlaps with pattern recognition, computer vision, real-time image processing, computer graphics and virtual reality. Its research progress synchronizes with artificial intelligence, neural networks, genetic algorithms and fuzzy logic. Its development and application tie with bio-medicine, remote sensing, communication and document processing closely. This paper proposes some definite explanation and concept to revise the problem without unified definition of some terminologies. Then it introduces the concept and applications of a new technology in visual information—spectral imaging comprehensively. Finally, it put forward the key issues existing in the agricultural application.

In order to solve the recognition of bar code based on image processing problems we put forward to use Android platform ENA-13 bar code recognition method. The method analyzed the basic principle of ENA-13 code recognition. Firstly we used the Otsu method for gray scale image to obtain a threshold for image segmentation. Then according to level the data of edge points distributed we determined the starting strip and realized barcode image preprocessing and data extraction. Finally, through calculating the standard deviation approach the most close to the pattern recognition of bar code was found out. And the results prove that the method of ENA-13 code recognition speed and accuracy can reach the practical level.

Short-term load forecasting of electrical power plays a crucial role in secured and economical operation of power systems. Least Square support vector machines (LS-SVMs) have been proposed as a novel technique to regress. In this paper, LS-SVMs are used for short-term load forecasting. The training sample sets are chosen and pretreated before every forecasting. Then the influence of the non-correlative and bad samples for the forecasting can be avoided. The effectiveness and the feasibility of forecasting of the employed method are examined using simulated experiments. The experimental results show the proposed method performs better than BP algorithm.

This paper uses the idea of object-oriented software engineering to abstract field devices, variables, and the OPC tags of 3G industrial network as objects. And, it uses the theory of modular software engineering to design and implement OPC server for 3G industrial network. In order to accomplish the asynchronous communication of 3G network, event-based approach is used, and complete the data acquisition and write back of 3G industrial nodes. By the approach of using third-party dynamic link library, the processes of developing OPC sever are simplified, and help complete the development OPC server. After the validation of the standard OPC client-side, it suggested that the design and development of this OPC server meet the requirements of OPC specification.

The rise of wavelet analysis in applied mathematics is due to its applications and the flexibility. A sort of multiwavelet wraps with multi-scale dilation factor for space

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2

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2

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) from these wavelet packets.

An SIQ epidemic model with isolation and nonlinear incidence rate is studied. We have obtained a threshold value

R

and shown that there is only a disease free equilibrium point when

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< 1 , and there is also an endemic equilibrium point if

R

> 1. With the help of Liapunov function, we have shown that disease free- and endemic equilibrium point is globally stable.

This paper mainly studied the mobile node localization and tracking in Wireless Sensor Networks (WSNs). Monte Carlo Localization algorithm (MCL) is widely for mobile node localization and tracking. However, MCL doesn’t consider the influence of different anchor nodes. Thus, we proposed a binary-detection Monte Carlo Localization algorithm (BD MCL), which combines binary-detection with MCL. Our algorithm mainly uses the time of target detection as the node weights in sampling process to enhance the influence of nearer anchor nodes. Simulations show that this new algorithm exhibits better performance than traditional MCL with regards to motion forecast and localization precision.

This paper proposes a novel architecture for remote technical support platform that is used for equipment maintenances in large ships. In this architecture, we integrate some new techniques such as RFID, actuator and actor sensors for the detection of equipment abnormal status, voice information hiding in wireless communications for maintenance operations, and cloud index for fast response and solution localization. We call the architecture as ApRTSP, and its advantages are highly robust, low delay, and highly accurate.

Coronary stent implantation has become an important method, of treating coronary heart disease. It has a pre-compression process when using the stent, which will be fixed in the balloon, and then be processing the expansion of operations. This research use the FE method, without considering the interaction of vessel stents and the circumstances under artery loading to simulate the three different materials (CoCr alloy, 316L stainless steel and Mg alloy), but it must has the same free pre-compression expansion process of the structure of the stent. By setting the mesh of the FE stent models, the boundary conditions, the loading, etc, and other key factors, The results demonstrate deformation mechanism, which can be used to calculate radical recoil rate and axial shortening rate. At last, the safety factors of stents are forecasted.

The complete coupling expansion of stents includes constriction, free expansion and interactions with the artery vessel. This paper has used finite element method analyzing the static and dynamic continuous deformation process of stents with two kinds of materials (stainless steel-316L, CoCr alloy-L605) without considering plaque in vessel and studying the mechanism under periodic loading, especially. The key factors such as interaction, boundary conditions and loads are set to control solution. The differences in geometry deformation and stress distribution were compared, and the stents biomechanical properties are evaluated using axial shortening, radial elongation, static strength and fatigue strength. FEM can quantify some mechanical behavior of stents and design to stents.

As medical physics is the merger of both medicine and engineering, the cultivation of its professional talents must adopt both the medical and engineering methods, construct the professional course system accordingly, and also form the teaching team of double-teachers so as to cultivate the professional talents on this major.

A kind of decentralized precise support mode is proposed, which uses multiple local centers in different area to autonomous support. Under this mode the key information transmission will be prior to consider so that more global support requirement can be meet. Then the related strategies is discussed such as selection of local center, grade of support requirement, classification of information, incentive mechanism and so on. By a simulation example is shown to demonstrate essentiality and feasibility of decentralized precise support mode and related strategies.

The fault detection and monitoring of equipments in marine ships is a critical issue, since the maintenance operations and response need to be conducted timely. Traditional fault detection and monitoring system extensively rely on embedded circuits, which have to be deployed in advance. It thus encounters two inappropriate constraints such as the difficulties of incremental deployment, and detection of potential faults. In this paper, we propose a RFID-WSNs hybrid object networks for fault detection to enhance the accuracy and promptness of equipment monitoring. Hybrid object is a physical object with unique identity and appropriate sensing functions. The network of hybrid objects can detect the environmental parameters for the potential risks, especially the risks from the inner containers and inaccessible spaces. The identity can fast localize the potential risks on what physical objects.

The exact confidence interval estimations and the approximate confidence interval estimations of the environmental factors (EF) are investigated under type-II censoring date, the formulae to calculate the exact confidence limits and the empirical Bayes approximate confidence limits of EF are given. In order to investigate the accuracy of estimations, an illustrative example is examined numerically by means of Monte-Carlo simulation.

The structure, working principle and the hydraulic system theory of the industrial manipulator, based on PLC were introduced in the paper. Some important components of the system were designed and selected. The technological processes of the industrial manipulator were analyzed. The I/O addresses of PLC were distributed, and the control of chucking power of the manipulator was designed by employing the BP-PID control strategy.

As the Federal Kalman filter has some good features such as flexibility, and good fault-tolerance, this paper proposes a federal Kalman filter design method and fault-tolerant structure. The structure uses the residual error between the local filter and reference filter for fault detection. In this paper, a simulation study of the integrated navigation system is done. The study shows that the algorithm is very simple, reliable, not only can quickly detect the fault of the external sensors and reference system, but also has good fault-tolerant. It can quickly detect and isolation fault, and let the integration of the system remain high precision.

This paper presents the formal protocol model: SP-EFSM. We first present the classic Finite State Machine (FSM) model based on which SP-EFSM is defined; then the extension is introduced followed by a discussion of the relationship between two models. Finally a section is devoted to how communication protocol is modeled using SP-EFSM model.

Virtual reality simulation technology is widely used in robotics research, medical research, animation and many other fields.In the paper, a new interpolation technique based on the virtual human information was brought forward. The algorithm would automatically interpolate the information about the translational motion and rotation. And then the virtual human was animated more reality.

This article describes an intelligent switching power supply design. This switching power supply bases on push-pull mode, and it can work in multiple parallel mode . Besides, it can also automatically adjust according to the proportion of current distribution setting .To achieve the functionality of input-output isolation and automatic load distribution ,we make use of intelligent and digital control method .The parallel power system uses Fieldbus mode to information exchange, C8051F410 chip on each module as the core, DAC as the actuator to control switching power conversion unit .When all those units work, this switching power supply can realize stable voltage output and automatic load distribution. The article also gives the power module’s software process through analysis the circuits .In the end, we have conducted Compliance test for the switching power supply designed.

Digital watermarking technology is that directly embedded a number of landmark information into the multimedia content through a certain algorithm, which does not affect the value and use of original content, and can not be aware of the perception system or note. MPEG-4 of the video structure is analyzed in the paper, we propose a spread spectrum-based video digital watermarking to improve the program, and gives application examples.

Medical image registration is the key technology to the modern medical images and it is the basic issue of medical image fusion. A medical image registration method integrating features and multiscale information is proposed in the paper. Firstly, the edge feature images obtained by Canny operator are registered by Principal Axes method. Secondly, Harris corner detection method was used to extract the corners of the couple images. Then the corners of the couple images are registered by Iterative Closest Point Algorithm (ICP). Finally, the couple medical images were decomposed by wavelet transform, the mutual information is selected as similar measure, and only the low-frequency sub-images were selected as registration objects. Then, the registration process is begun from the coarse scale until the finest scale by Powell algorithm. Thus the medical images registration can be achieved through the above registration procedure. Experiment results show that this method not only can achieve a higher registration accuracy, but also can reduce the computational time greatly. The accurate registration results also can be achieved in the noisy environment.

Underground transformer substations constructed with non-dwelling buildings have a positive meaning to a resource-saving and environment friendly society. The fire safety is very important for the effective operation of these projects. By introducing the method of oxygen suffocation, this paper carries out simulation analysis of fire feature on underground substation. The corresponding fire protection strategy is also put forward.

Aiming at the problem that the intelligence is not high of the soccer robot control system, with analysis of energy materials, this paper can not only simplifies the design of the hardware and software of the control system but also enhances considerably its reliability and performance, which includes a core controller that based on S3C2440, a position loop based on LM629, and software strategy based on UC/OS-II. Experiments show that the new soccer robot controller features a quick response, high control precision and high servo rigidity; it also has a good self-adaptability.

Based on the equivalent control method and Lyapunov function technique, a decoupled sliding mode control approach is presented for stable control of the climbing motion of spherical mobile robots with sliding mechanics. At first the dynamic equations of the climbing motion of a spherical mobile robot are derived based on the Euler-Lagrange equation, and the equilibrium conditions of the climbing state are then analyzed. Combining the feature of the dynamic model, a decoupled sliding mode controller is proposed and the asymptomatic stability of the system is theoretically analyzed. Finally, the proposed control approach is applied to a spherical mobile robot and simulation results verify the validity of the proposed control approach.