Advances in Future Computer and Control Systems

An improved local binary fitting (LBF) [1] model combined with Fisher criterion is introduced in this paper. We hope to improve collection degree within classification and separation degree between two classifications, pixels are distributed over local domain of two sides of the boundary. Based on this idea, a new energy term are constructed. The new model is more robust under global information of pixels in the local region of boundary. Furthermore, the narrow band implementation of new model is able to reduce the computational cost greatly.

Detecting moving objects using background subtraction is a critical component for many vision-based applications, but it is extremely sensitive to dynamic scene changes due to lighting and extraneous events, especially when the dynamic texture such as swaying trees and waving water surface is existed. In this paper, a reliable background modeling scheme has been proposed to combine adapted Local Binary Pattern (LBP) of local block with Gauss Mixture Model (GMM) of pixel level. A pixel in new frame is judged as foreground not only by comparing intensity with background image, but also by comparing its block histogram with relevant background block model. Experiment results show this algorithm is efficient than the classical GMM algorithm using only color intensities.

Depending on CCD camera to detect driver fatigue has been proposed in past research. This paper proposes a rapid method of driver fatigue detection by applying AdaBoost algorithm,and PERCLOS to judge the degree of the driver fatigue. Compared to the original method, this method reduces redundant facial texture information, and accelerates the speed of eye state detection while improving detection accuracy rate of driver fatigue. The experiments results show that this method is fast , effective and easy which can be used in real-time detection of driver fatigue.

The sentence sentiment analysis is a key task in sentiment analysis. Existing methods ignored the contextual information, the negative effect of the redundancy between labels, or the relationship from sentiment words to annotation labels. Aiming at these problems, this paper present a novel cascaded model based on isotonic constraints, which respectively classify sentiment polarities and strength in different layers. Different from traditional cascaded model, the proposed method incorporates a kind of domain knowledge about sentiment words through enforcing a set of monotonic constraints on the CRF parameters. Experimental results indicate that the proposed algorithm has strong discrimination ability between different labels, and thus validate the effectiveness of our model in sentence sentiment analysis for Chinese texts.

This paper proposes a novel routing protocol called ZACATREE, which will prolong the Zigbee network lifetime, reduce the end-to-end delay, and improve the reliability of mine goaf monitoring. Using ant colony algorithm to search for the next hop would effectively reduce energy consumption while tree structure is helpful to reduce the end-to-end delay and packet loss rate. The simulation results show that the ZACATREE protocol can improve the network lifetime by 27.7% compared with the AODV protocol, while the end-to-end delay can be reduced by 16.92% and 46.04% abatement in the packet loss rate is obtained. Therefore, the performance of mine goaf monitoring network can well be improved by using the ZACATREE protocol.

To the problem of randomly deployed nodes failing to guarantee the network coverage and the objects detection probability, this study puts forward a coverage optimization algorithm of wireless sensor network based on simplified virtual forces-oriented particle swarm with mutate mechanism (SVF-PS-MA), which would improve the update speed of particle swarm algorithm, guide the direction of particle evolution and speed up the algorithm convergence by dislodging attractive forces from the virtual forces. And this algorithm introduces the mutate mechanism, take the mutation for particles, improve the particles diversity and reduce the probability of particles falling into the local optimization. The result shows that the algorithm can improve the network coverage effectively, and guarantee less time-consumption.

Image super-resolution (SR) is a process to reconstruct a high-resolution (HR) image by fusing multiple low-resolution (LR) images. A critical step in image SR is accurate registration of the LR images, however the larger inter-frame motion can significantly affect the sub-pixel image registration, then it can also affect the output of HR reconstruction. So a novel Adaptive Frame Selection method is proposed in this paper for the reconstruction of multi-frame SR. It devises a framework to resolve the image SR reconstruction problem into two steps. Firstly, using the Optical flow algorithm to calculate the inter-frame motion estimation, designing an adaptive frame selection method to discard some of the larger inter-frame motion frames, then the less inter-frame motion of successive frames is obtained. Secondly, using the maximum a posteriori (MAP) based SR algorithm for the SR reconstruction. The experimental results indicate that the proposed algorithm has considerable effectiveness in terms of both objective measurements and visual evaluation.

The paper first describes the development of relevant technical and business framework for the site of knowledge, then develop a retail Web site from the start, in the function of the system and databases to analyze and design based on the Struts MVC framework in order to concrete realization of the system, the final completion of an online shopping site. The site can browse products, inquiries, purchase features, and comments to the site customers can view information such as shopping help to achieve the basic requirements of the general shopping site. The experimental results indicate that this method has great promise.

XML as a markup language used to describe the data, a description of its powerful features, scalability, and platform-independent structured semantic characteristics such as the Internet and distributed and heterogeneous environment as a major carrier of data transmission and exchange, in e-commerce has been widely used. Finally, the application of XML technology in E-Commerce is proposed based on XML. XML data exchange technology in the presence of a large number of e-commerce has been widely used, its increasingly urgent security needs. The experimental results indicate that this method has great effective promise.

Remote online test system is becoming one of the main areas of the design of educational software. This paper proposes the B / S structure of the remote examination system research, design and development, first of all system development platform and tools for a careful choice, and then to achieve the system objectives and functions of the system’s development status, trends and demands for a more detailed analysis. Then the analysis based on the system’s database and each module has been designed in conjunction with the system is given by the implementation of specific modules.

Variable precision rough set model allows a certain degree of misclassification rate existing, so that, on one hand, it complements the concept of approximation space, on the other hand it benefit from the use of variable precision rough set of data to fine the relevant data in the thought irrelevant data. The paper puts forward the construction and application of intelligent recommendation system in e-commerce based on variable precision rough set, to suffice the needs of theory and application in E-commerce recommendation system. Therefore, the experimental results show that this method can effectively improve the performance of the recommendation system and recommended items.

Ontology is an explicit specification of a conceptual model. Semantic ontology and e-commerce recommendation technologies can the product knowledge to meet network conditions, user needs and recommend functional knowledge of effective knowledge acquisition; aggregation and intelligent recommendations work requirements, to meet large-scale e-commerce recommendation system, quality and strong real-time requirements. Finally, the recommendation system in E-Commerce is proposed based on ontology technology. Our experiments showed that we adopt ontology to develop the recommendation system in order to improve the efficiency of recommendation in e-commerce. The experimental results indicate that this method has great effective promise.

Intrusion is the use of unauthorized behavior, by scanning the loopholes in the system, access to user accounts, user file tampering. Clustering is a clustering process; the clustering technique applied to intrusion detection in a supervised learning algorithm to overcome the requirements of the training set data in pure question mark, and can detect unknown intrusions. Discuss how the clustering algorithm is applied to intrusion detection and analysis of intrusion detection algorithm based on clustering problems.

The time series of variable geomagnetic field can be considered as nonlinear and nonstationary signal. The view and methods of intelligent signal processing can be used in modeling and forecasting for variable geomagnetic field. This paper proposed a new point of view that Artificial neural network (ANN) with good self-organizing and self-learning could be used for modeling and forecasting variable geomagnetic field and tested this view with four ANN which are RBF, BP, GRNN and ELMAN. Lastly, the results of forecasting were compared and analyzed.

With the development of tourism, tourist information will also greatly affect the progress of society, but also on the tourism industry of information technology has had a profound impact on the management. This paper develops tourism resource management information system by ASP and Access database management system in e-commerce. The system uses Dreamweaver MX 2004 software as a tool for system development, using ASP technology to solve. The entire system is based on ASP technology to develop, create the database using Microsoft Access 2000, database query and call through the ASP built-in ADODB components to achieve.

The paper proposes an automatic fuzzy system to control in real time people flows in crowded scenes. An integration of cellular automata and computer vision technologies is envisaged to control the people flow in different conditions and in real time. An adaptive control paradigm has been adopted to manage real scenarios since they usually differ slightly from the theoretical ones. The proposed fuzzy control is not only simple, but it may incorporate measurements derived from both fast and accurate computer vision techniques and perceptions of people operating on the field.

SMI (Supply Management Inventory) is divided into two types : SMI based on passive supply inventory control and SMI based on active distribute inventory contro1. The traditional supply chains, passive supply—SMI and active distribute—SMI are modeled and simulated with System Dynamics tools. And some traditional constraints on Distribute Centers are loosened, such as unlimited capacity. And inventory management methods of Distribute Centers based on SMI are led into the model. After the simulation, in terms of these comparable data, the active distribute—SMI out performs the other two is concluded.

A management information system for online police exam is designed in this paper, which based on B/S structure and using JSP technique. MVC design pattern and Struts framework are used in the three-tier structure online exam system. This system adopts SQL Server database for data storage and realizes a series of functions such as paper database management, automatic test question setting, online exam, marking papers and score multianalysis. The practice indicates that this system is stable and reliable, can adapt to the examination for a large number of students at the same time, and significantly reduces the workload of workers, which has good practical value as well.

The anti-collision algorithm is one of the key problems in the RFID application system and the Time Division Multiple Access (TDMA) technique can be adopted to solve this problem; its relevant methods involve such anti-collision methods as ALOHA mehod, slotted ALOHA method, binary search, dynamic binary search, and so on. This paper mainly involves the study on the technology of multi-tag anti-collision that is key in RFID system, with a view to optimizing the anti-collision technology now available and enabling the identification of multi-tag technology more efficient to a certain extent.

Information science is an interdisciplinary science primarily concer-ned with the analysis, collection, classification, manipulation, storage, retrieval and dissemination of information. Frame theory has been the focus of active research for twenty years, both in theory and applications. In this paper, the notion of the bivariate generalized multiresolution structure of subspace

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), which is the generalization of frame multiresolution analysis, is proposed. The biorthogonanality traits on wavelet wraps are researched by using time-frequency analysis approach and variable separation approach. The construction of a bivariate generalized multiresolution structure of Paley-Wiener subspace of

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) is studied. The pyramid decomposition scheme is obtained based on such a GMS and a sufficient condition for its existence is provided. A procedure for designing a class of orthogonal vector-valued finitely supported wavelet functions is proposed by virtue of filter bank theory and matrix theory.

In this paper, a sort of bivariate wavelet packages with poly-scale are introduced, which are generalizations of univariant wavelet packets. Finitely Supported wavelet bases for Sobolev spaces is researched. Steming from a pair of finitely supported refinale functions with poly-scaled dilation factor in space

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) satsfying a very mild condition, we provide a novel method for designing wavelet bases, which is the generalization of univariate wavelets in Hilbert space. The definition of biorthogonal nonseparable bivariate wavelet wraps is provided and a procedure for designting them is proposed. The biorthogonality trait of binary wavelet wraps is studied by virtue of time-frequency analysis method and iterative method.Three biorthogonality formulas regarding these wavelet wraps are erected. Moreover, it is shown how to get new Riesz bases of

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Information science is an interdisciplinary science primarily concerned with the analysis, collection,classification, manipulation, storage, retrieval and dissemination of information. Wavelet analysis has been developed into a new branch for over twenty years. The window functions and bivariate Gabor frames are introduced. The existence of bivariate Gabor frames with compact support is discussed. Sufficient conditions for irregular bivariate Gabor system to be frames are presented by means of frame multiresolution analysis and paraunitary vector filter bank theory. We show how to construct bivariate Gabor frames with compact support.

Information science is an interdisciplinary science primarily conce-rned with the analysis, collection,classification, manipulation, storage, retrieval and dissemination of information.Wavelet wraps have been the focus of active research for twenty years, both in theory and applications. In this work, the notion of orthogonal nonseparable seven-variant wavelet wraps is introduced. A new approach for designing them is presented by iteration method. We proved that the seven-variant wavelet wraps are of the orthogonality trait. We give three orthogonality for-mulas regarding the wavelet packets. We show how to construct nonseparable seven-variant wavelet packet bases. The orthogonal seven-dimensional wavelet wraps may have arbitrayily high regularities.

According to the traffic sign recognition process converges slowly, easy to fall into local minimum of defects in general BP algorithm, a BP algorithm is discussed in the paper, which is based on the improved conjugate gradient method on the basis of Fletcher-Reeves linear search method. At the beginning, the basic principle of the algorithm is introduced; meanwhile, an in-depth analysis is discussed from the theoretical aspects in the paper, and then the trained BP neural network is applied into the function approximation. Experimental results show that the algorithm has many advantages, such as it has a good effect in solving the rotation and scale invariance with the image, the extracted features with translation, scale and rotation invariance. The fast convergence speed and less iteration of this algorithm can meet the requirements of unmanned vehicle autonomous navigation.

Soft computing is a collection of methodologies including fuzzy logic, neural network and evolutionary computing. They have become important manner for complex systems modeling in varied fields. The paper mainly discusses the application of soft computing in material research from material performance prediction modeling.

The application fields of computer technology in material science study are introduced. The specific applications in material science with computer assisted are discussed. And the research, development and application of material are bound to have a prosperous boost.

Data mining is one of the important technologies in data warehouse and one of the fields with the fasted development in computer industry. The skill boosts database technology into a more advanced stage and quickly forming a separate area. The rough set theory and data mining techniques are briefly discussed on the basis of analyzing the existent problem in colleges and universities currently. Take the college student score as an example, the solution to the score analysis is proposed based on rough set theory and data mining techniques.

The high speed block cipher-based message authentication code algorithms are required for different networking applications. This paper presents the Cross Message Authentication Code based on Multi-core computing technology (CMMAC), which is a parallel block cipher working mode on multi-core computing environment and secure for messages with any bit length. In CMMAC mode, the large file is divided into a number of blocks that are encrypted based on a symmetric key block cipher, keeping the relation among blocks by message cross transfer among processing cores. The algorithm analysis and experiment result indicates this method is expandable and obtains linear speedup.

While traditional face recognition is typically based on still images, face recognition from video sequences has become popular recently. To achieve the high accuracy of the face detection, we introduce a visual perception model that aims at quantifying the local tolerance to noise for arbitrary imagery. Based on this model, extract the features of video frame, the two-dimensional statistical parameters and new standard deviation from DCT coefficients without its inverse transform was computed. Results are reported for a database comprising 940 face images of 34 video clips under a variety of challenging circumstances. These results indicate significant performance improvements over previous methods and demonstrate the usefulness of the confidence data.

In this paper, we propose a new stroke-based approach to recognize online handwritten NǚShu characters. The proposed approach extracts 14 kinds of basic strokes, applies an improved secondary search method to extract feature points, uses the 8-directional feature to establish stroke feature dictionary in order to recognize strokes. In the procedure of the recognition, strokes and stroke order feature are used for the first classification, then the position relationships of key strokes for secondary classification to recognize the similar characters. As a result of testing, the recognizing rate of a system based on this approach can achieve 95.7%.

With the increasing demand for steel production in recent years, the smelting with high air temperature is an effective measure to increase production, energy efficiency and saving. Therefore, it is very important strengthen the maintenance of the hot stove and to increase the transmission capacity of the hot air. In hot-blast stove maintenance scheme evaluating, due to the uncertainty of the selection of evaluation indexes and its weight, the extent and scope of sustainable use and so on, it caused the individual to evaluate a number of useful information is often missing, thus affecting the reliability and accuracy of evaluation results. In this paper, the grey relational analysis is introduced to use to hot-blast stove maintenance scheme evaluating. The result indicated that this method is credible, and can provide a new method and a possible new way for hot-blast stove maintenance scheme evaluating.

Context aware is a trend of converged network and service. In order to support context aware, network capability would be extended to collect and provide environment or user related information. At the same time, context based triggering schema would be introduced for service triggering which changes the way that people use service. New service could be triggered in a more feasible way. However, that would also introduce some other problems. One of the problems is how to collaborate different service together, as service would happen anytime which will lead to conflict. In this study, we introduce a gaming theory method, which models the procedure of service triggering and interaction. A service collaboration example is provided in the experiment. And result of this study would be combined with our previous study to become a framework to support human centric service.

At present, China’s enterprise data services face the problems of service processes unclear, un-standardized, non-realtime, and lack mobility. In this paper a design of platform based on Step-Task work-flow process model is presented. Experimental results show that this design can makes the data services process more secure, clear, and through this design, distributed mobile platform of data services can be realized in order to meet the service providers’ and enterprises’ mobile office needs.

With virtual machines have become mainstream in enterprise computing, virtualization is being an attractive technology in the embedded community. However, current popular virtualization technologies do not suit for embedded system, which are characterized by small memory footprint, power constraint, small trusted computing base, and fine-grained security. In this paper, we selected a well-known embedded microkernel as the virtualization layer and then proposed a virtualization architecture based on OKL4, and analyzed the characteristics of virtualization used in embedded domain. Finally, we have ported the OKL4 and OKLinux to PXA270 and test it on hardware board. Experimental results show that the design scheme is feasible and correct.

The objective of this study is to propose a method of parametric reverse modeling and redesign for prismatic shapes. The main structural feature levels for the parametric feature extraction were divided firstly to distinguish core issues from the operation process. Three basic steps towards successful reverse engineering prismatic shapes were put forward, which include strategy analysis of parametric reverse modeling, extraction of sectional curves and reconstruction of feature models, and parametric redesign of prismatic shapes. In this study, a sample part was reverse modeled and redesigned to demonstrate the proposed method. This process proved an efficient way towards parametric reverse modeling and innovative redesign method of prismatic shapes.

This paper introduced a new modular multi-level converter (MMC), which could enhance the voltage and power level by sub-converter modules in series and was easy to extend to any level of output. Its structure and working mechanism were described. The values of four main components were analyzed which were DC power supply, reactor L, sub-module’s power switch and capacitor C, and corresponding affecting factors were discussed. Their value is critical to the reliable operation of the MMC system. The conclusions of the analysis given have some practical significance for studying on MMC system.

This paper presents a slope stability analysis method combined with the limit equilibrium and finite element simulation. Based on the simulated stress of a slope, the safety factory of one element can computed with Mohr-Coulomb criterion, and introduces the Dijkstra algorithm of graph theory to search the dangerous slide surface combined with limit equilibrium method. For an examine slope, the simulated results of safety factor and location of dangerous sliding surface is close to the strength reduction method. Sensitivity analysis results show that, the safety factor of slope is decreased with the increasing height and inclination of slope, but decreased with the decreasing cohesion and friction angle.

The empirical correlation study shows that almost all types of learning styles have, more or less, positive or negative correlation with the academic achievement of computer-assisted English autonomous Learning. Only tactile learning style has no any correlations with language achievement at the significant level. This result implies that the tactile learning potential of college students is seriously ignored in computer-assisted English autonomous Learning. Based on the research findings, this essay discusses the possible reasons and gives some suggestions to English learners, English teachers, the university and technical workers.

As one of advanced design method, reverse engineering is being widely used in industry. A redesign method integrated reverse modeling with deformation is proposed in this paper. Since their “natural” parameters are hard to be defined and extracted, in redesign with deformation we propose dealing with freeform product models by extracting global and local product definition parameters. Designers can produce new design variations by editing the product definition parameters. Use a car model as sample, and with the mature CAD commercial software of CATIA and Geomagic Qualify as the platform, this paper proposed the method of model reconstruction with extraction of feature, and use the deformation redesign theory and methods for such products to meet the requirement of re-design. The redesign method integrated Reverse Modeling with Deformation is proved to be effective and feasible, and have great significance in engineering practice.

Accurate prediction of Tongguan Elevation has important realistic significance in flood control of lower Wei River. This paper builds a prediction model of Tongguan Elevation changes in Non-flood seasons combined with T-S fuzzy reasoning and association rule learning, based on historical data of Tongguan of the Yellow River. Considering the “curse of dimensionality” during fuzzy reasoning, the model uses association analysis learning to prune the amount of fuzzy rules, ensuring the simplicity and effectiveness of the final reasoning rules. The results of prediction based on historical data indicate that this model has high efficiency and accuracy; the accuracy is better than the existing BP prediction model.

This paper using co-integration theory and error correction model to check the influence of RMB real effective exchange rate on Chinese FDI. The results show that in the long term, there is a co-integration relationship between these two variables and the RMB appreciation will promote the growth of FDI; in the short term, RMB real effective exchange rate doesn’t have a significant effect on FDI. In this regard, this paper proposes the corresponding policy recommendations.

Rotational speed is one of the most important parameters for closed loop control on engine of UAV. Working principle of rotational speed measurement and futures of Enhanced Capture Unit on DSP TMS320F28335 were introduced. The design of rotational speed measurement system based on DSP was put forward. The software and hardware methods of the system were described. System can measure rotational speed real-time with high precision. Evidences show that the system works with stability and reliability and generalizes with practicability and value of popularize.

x86 ISA has implemented a very complex protection mechanism, and to fully emulate which means a great labor for system emulators. The paper provides a technic, named protection cache, that can accelerate x86 protection mechanism emulation, by caching and reusing recently accessed descriptors and recently generated protection checking results. Evaluation demonstrates that, when protection cache is enabled, emulation performance of x86 instructions or operations related to protection checking gets a speedup of 11%~24.5%, and performance of system call, page fault handling and I/O intensive applications that frequently using aforementioned instructions or operations are all steadily improved.

As a result of overland flow pattern is affected by many factors, which makes the flow simulation is tedious and complicated, the overland flow pattern calculation equations are simplified, and the introduction of the computer carries on the simulation, the simulation process, according to the actual situation of adjustment parameters, realized the need for flow simulation.

REMUS is a coarse-grained reconfigurable computing system for multimedia and communication baseband processing. Fractional motion estimation (FME) is one of several tools which contribute to H.264/AVC’s excellent coding efficiency. ASIC-based hardware accelerators for FME are indispensable in real-time video encoding applications in the past. The paper introduces the mapping of H.264/AVC FME algorithm onto platform of REMUS system in order to demonstrate that complex applications can be mapped with competitive performance onto REMUS platform. Experimental results show that the REMUS can perform FME at real-time speed for CIF/SDTV@30fps video sequences with one reference frame. The implementation method therefore can apply for H.264/AVC encoder in mobile multimedia applications. REMUS system is designed and synthesized by using TSMC 65nm low power technology. The die size of REMUS is 23.7 mm

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. REMUS consumes about 194mW while working at 200MHz.

Data of nonlinear chemical industry process have characterics of containing noises and random disturbances. An improved fault detection method based on wavelet denoising and kernel principal component analysis (KPCA) method is developed, it can not only denoise and anti-disturb, but also can transform nonlinear problems in the input space into linear problems in the feature space. So this can solves the poor performances of principal component analysis (PCA) method in nonlinear problems. The proposed method is applied to Tennessee Eastman (TE) process. The simulation results verify that the proposed method is superior to PCA method obviously in fault detection.

ESB (Enterprise Service Bus) is a middleware technology which is a key technology to implement SOA. This paper discusses the relation among the Web Services, ASOA and ESB, and also proposes an implementation scheme of application integration based on JBoss ESB platform.

In view of the current DDoS attack turning frequently, this paper mainly analysis characteristics of the DDoS attack based on botnet, and then provides a method of DDoS protection based on the push-back. This method is based on the classic push-back idea, ,and each router sends push-back request to its uplink routers when DDoS attack occurs; on receiving the push-back request, the router will match the feature of attack flow, and implement the flow control.

The cell allocation problem has long been a obstacle in the modern prison management, the way only depend on the experience of manager is not compatible to the development of modern science. In this paper, two intelligent algorithms are proposed to solve this problem. Bayesian algorithm and the algorithm based on optimal distance both can solve it effectively.

Various statistical methods are used to process operational Numerical Weather Prediction. In this paper we present an application of Bayesian in meteorology from a machine learning point of view. Due to the characteristic of attribute of continuous value, data discretization are done during the data preprocessing, then the naïve Bayesian are used to forecast the weather. Experiments results show that the proposed algorithm in this paper is feasible and effective.

For energy-constrained wireless multimedia sensor networks (WMSNs), how to minimize the energy consumption while still capturing the events images with low latency becomes a crucial question in the design. A good solution for this question is using two-tier network, in which the camera sensor nodes should only be woken up when an event is detected by the scalar sensor nodes within its sensing field. In this solution, a key step is to know the coverage relationship between the camera sensor nodes and the scalar sensor nodes. Therefore we study the sensing models of these two kinds of sensor nodes and define the coverage relationship between them in this paper. An algorithm to calculate the coverage relationship between these two kinds of sensor nodes is presented. Thus, during the working process of the network, by saving the coverage relationship table in its memory, each camera sensor node can easy to know whether they cove the events or not.

Wind Power prediction is very important in the wind power grid management. This paper introduces how to use Cerebellar Model Articulation Controller (CMAC) to build a short-term wind power prediction model.CMAC and Back-propagation Artificial Neural Networks(BP) are used respectively to do the short-term prediction with the data from a wind farm in Inner Mongolia. After comparison of the results, CMAC is more stable, accurate and faster than BP neural network with less training data.. CMAC is considered to be more suitable to do the short-term prediction.

Based on agricultural production data of Liaoning Province from 1980a to 2009a, using stepwise regression method, the gray prediction method, BP neural network, the grain yield prediction model was respectively established in Liaoning Province, China. The grain yield was predicted with these models, and models were compared. The results show that the yield forecasts relative error of the stepwise regression model, gray prediction model, BP neural network model are respectively: 3.41%, 6.59%, and 1.16%. Among the three models, the order of best fit is the BP neural network model, the less is the stepwise regression model, the least is the gray model. It was proved that the BP neural network model is optimum one with high correspondence degreed and high accuracy for food production forecast in Liaoning Province.

This paper realized an embedded image processing system based on Qt. On the platform of embedded Linux, the realization method of embedded image processing system is discussed and analyzed. Then, The GUI is designed. After this, the algorithms of image processing are implemented and the code is debugged. The experiments show that using this embedded system has the advantage of high speed, low cost and high expansibility. It also has high practical value for vision detection in some industrial fields.

The abstract should summarize the contents of the paper and should contain at least 70 and at most 150 words. It should be set in 9-point font size and should be inset 1.0 cm from the right and left margins. There should be two blank (10-point) lines before and after the abstract. This document is in the required format.

For running in strong electromagnetic interference environment, we designed the wireless transmission system based Zigbee, used the software of Ansoft Designer to simulate the influence from Electromagnetic to the PCB(Printed Ciruit Board) ,obtained the current plot and near field plot to decide its Electromagnetic Compatibility, then for the area where is high Electromagnetic radiation to redesigned, at last get the optimist anti-electromagnetic design.

This paper in order to improve the inspection accuracy and efficiency of digital geographical information production quality, start with check the method of DEM, DOM raster data, aim at the characteristics of large quantity of data, a lot types of data, data format complex of DEM (digital elevation model), DOM (Digital Orthophoto Map), based on component ArcGIS Engine re-development, implement simple, accurate and efficient DEM, DOM quality inspection. Discuss the application and implementation of ArcGIS Engine in DEM, DOM quality inspection.

Based on the fuzzy multiple criteria group AHP, a new method has been proposed for the risk assessment of information system security and then its index system has been established. The least variance priority method of triangular fuzzy number complementary judgment matrix is necessary to obtain the weight of each index. The fuzzy weights of the second-class indexes can be derived from the synthesis of experts’ opinions by the fuzzy Delphi method. Combined with the security values of the second-class indexes expressed by the fuzzy language variables, the fuzzy indexes for evaluating information system security are gained by use of the hierarchical integration method. Finally, with the aid of the

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average area measurement method, the security values of the system are determined so that the system can reach its security rating. Furthermore, a practical example given in this paper verifies that the new method is feasible and effective.

Mobile learning is a new learning mode and can bring learner higher learning efficiency and more flexibility. Aiming the problem of existing development technologies for mobile learning platform, a new mobile learning platform based on mobile cloud computing was proposed. The platform was abstracted several layers such as infrastructure layer, resource layer, service layer, middleware layer and client layer. By middleware layer, the platform can adapt different client access request. The communication between client and sever is finished by instant message server and the task processing is finished by cloud application server. Many key technologies were taken in the cloud platform and the platform will provide a good and practical example for developing mobile learning platform by mobile cloud computing.

Wireless sensor network (WSN), with broad application prospects, is a novel research area. Due to the data collected by the sensor node, in the monitored area, is useful only when its location information is known, node positioning as a critical technology is the basis of applications of wireless sensor network. Multidimensional scaling has been applied to node localization successfully in recent years. In this paper, several typical MDS-based localization algorithms, such as have been introduced and analyzed.

This paper discusses the basic concepts of Web services, Web services architecture, Web services protocol stack, analyzes the current status of Web service composition research. In this paper, reusable Web service composition model is put forward. This model can be added to any Web service composition method (either dynamic or static), describes the process of Web service composition reuse. In this paper, the introduction of Web services composition classes and components thought to form the concept of Web services, component class, and the combination of Web services to achieve a certain degree of reuse.

The air conditioning system control object multivariable, nonlinear, large time delay, time-varying characteristics of the PI control and fuzzy control combined proposed fuzzy adaptive PI control, and simulation. Simulation results show that this method of control is better than the conventional PI control and fuzzy control to eliminate the shortcomings of steady-state error is greater with short response time, high control precision and good stability.

With the development of information technology, the original information system of enterprise gradually can not meet the needs of enterprise development, the enterprise information system expansion is imminent at this time. Taking an enterprise information system in the expansion process, and based on today’s common Oracle database, realizing the database expansion and migration as an example, the paper focuses the steps of Oracle database migration and the possible problems and its treatment measures on AIX operating system platform.

One important factor of influencing the electronic belt scale accuracy is that the motor speed can not follow the given speed. To improve the dynamic performance of the motor in electronic belt scale, fuzzy control, fuzzy PI control, self-tuning fuzzy PI control, and fuzzy PID control are introduced into the electronic belt scale control in the paper. It is indicated that fuzzy PID control is the best in those four control methods through simulation and compared analysis. Fuzzy PID method not only control the motor running more precisely and smoothly, but also improve the anti-jamming ability and robustness. The weighing accuracy problem of belt scale can be resolved by applying fuzzy PID control.

This paper introduces the application of wireless sensor networks (WSNs) in the sequence control of chemical water treatment in power plant. To settle the problem caused by packet loss, the controller and plant are treated as two interacting discrete event systems (DESs) described by automaton. And the wireless channel works as a switch between the DESs, denoting packet loss if the switch is off. Then, the analysis of the state transition is carried out and the solution is proposed with the capability of calculation of wireless nodes utilized. At last, the conclusion is presented.

With the rapid development of the power industry coal-fired power plants in China have been built more than decades ago. Boiler system is a complex process and has high nonlinearity, large delay, strong coupling and load disturbance. It is crucial parts of most power plants and has been concerned with analyzing power system dynamics in various works. But it is hard to develop practical mathematical model of the control object using the traditional PID control. In order to realize the optimal control of boiler combustion system, this paper presents the fuzzy-PID control Strategy applied in steam temperature control. Simulation results for different cases of boiler combustion system show that the control strategy has better ability.

Traditional RFID data cleaning methods based on event filtering algorithms have their own limitation, which cost too much buffer memory space. In this essay, based on the traditional data cleaning methods, the authors have proposed a new RFID data cleaning mechanism based on event with adaptive Time-thresholds through a deep analyze of the RFID data cleaning methods. According to the current tag information, combining the time-window method with pseudo event filtering method, it adaptively adjust the time-thresholds from the aspect of the tag existing circle. The experimental finding shows that this method has reached theoretical and practical significance to some extent, for it can help reduce the consumption of the cache.

This paper introduces a hardware-in-the-loop simulation system for high altitude airship, explains its constitution and how to establish the systems, and also illustrates most involved models and applied software. We have carried out flight simulation experiments in straight line on the system, validated the feasibility and reliability of the hardware-in-the-loop simulation system.

Dependability, as a basic problem in computer security is being widely studied, but little work is based on PEPA. In this paper, PEPA are used to model and quantify the dependability of systems. First, backup systems and reparable systems are formally modeled. Then dependability is quantified using PEPA. The result indicates that PEPA can be used to effectively quantify the dependability of systems.

With rough set and software tools-ROSETTA, the possibility of adopting series timing analysis in the process industry has been able to show in this article. There is some shortcoming for traditional time series analysis adopted in data mining, such as the window method has the limitation on the length of time series which can be analyzed. Because of limitations mentioned above, the direct apply of traditional methods in industrial processes data mining has become unsuitable. The method introduced in this paper adopted a method similar to which operator monitor the actual production process, so which it overcome the limitations of traditional methods.

Still image compression algorithms have been long aiming at gray-scale image compression, in this paper we exploit a new method to improve coding efficiency of color image compression. Firstly, the combination of color space transform and wavelet transform is examined and found out the best one. Then a weighting scheme is proposed to improve objective quality of reconstruction image further. Experimental results show that the proposed scheme not only outperforms JPEG2000 lossy transform scheme and JPEG2000 lossless transform scheme in objective quality by 1–2 db. By conservative estimation, the proposed algorithm outperforms JPEG2000 lossy algorithm from 0.2BPP to 6 BPP and can be used in most practical compression situations.

A steady distributed parameter method model for predicting the threaded evaporator operation features has been established based on the ejector refrigeration system used R134a as refrigerant. Based on the model to calculating the threaded evaporator best length, the influence of the length on the system capacity and COP are analyzed. The research for the optimization design about heat exchanger provides the theoretical support.

To increase LTE (long time evolution) networks spectrum utilization and interference mitigation, a LTE system overlaid with femtocells is studied. The two systems disturb one another with interference. The strategies of the systems are their choices of power allocations in their two bands with regard to individual sum power constraints. Based our prior work, we have derived the Bays-Nash equilibrium a optimal SINR (signal-interference-noise-ratio) threshold. In the paper, with the static non-cooperative power control game, we present a novel distributed power control strategy. That method accelerates the convergence of the Nash game algorithm. The power control scheme can be applied to realistic LTE-femtocell networks to enable robust communication against cross-tier interference thereby obtaining a substantial link quality.

In this paper we present a method of handwritten digit recognition based on least squares support vector machines (LS-SVM). Principal component analysis (PCA) is used to extract 10-dimension features from the original digit images for handwritten digit recognition. The performance of LS-SVM on handwritten digit recognition tasks is compared with three typical classification methods, including linear discriminant classifiers (LDC), the nearest neighbor (NN), and the back-propagation neural network (BPNN). The experimental results on the popular MNIST database indicate that LS-SVM obtains the best accuracy of 87.5% with 10-dimension features, outperforming the other used methods.

This paper introduced application of intelligent control system in twin-screw feed extruder. In the control system, S7-200 PLC was used to accomplish data acquisition, signal transmitting and display a monitor interface of control system by touch screen MT506T. The design of hardware and software of the control system were discussed also. The result shows that the control system finished demands of performance. The twin-screw feed extruder realized auto-control with it.

In order to ensure the reasonableness, accuracy and reliability of financial workflow nets, this paper analyzes the financial workflow features, and points out the mapping relationship between financial workflow diagram and Petri network. Then, it proposes one modeling method of financial workflow based on the Petri nets. In this paper, the FWF-net model is set up for a financial reimbursement workflow instance and analysis of that shows that the model is correct and reasonable. The model provides a theoretical basis for financial workflow modeling.

Ontology merging is the process of merging two or more source ontology into target ontology. For the merger of ontology, using traditional editing tools for manually merge time-consuming, strenuous and go wrong easily. These methods are not for the merger to provide a global structure of the ontology to describe the program. The paper offers a methodology for carrying on ontology merging for knowledge sharing and reusing based on concept lattice merger technology.

The estimation of fingerprint orientation field algorithm is a key step in the whole fingerprint identification algorithm. This paper proposes an accurate and rapid method by using connected component analysis structure tensor to estimate fingerprint orientation field. Compared to the original structure tensor method, this method combines connected component analysis map and Gaussian kernal rather than only use Gaussian kernal in the construction of structure tensor. It can preserve the image local structure better and make the result more reliable. The experiments results show that this method is fast, accurate and can easy be used by subsequent algorithm.

In this article, the wavelet analysis method is used to detect and analyze voltage sag signal contaminated by white noise. A new threshold selection method based on the wavelet decomposition layer is proposed, in view of the characteristic of noise coefficients which decrease when the scale increases. This method can obtain the superior wavelet coefficients estimation through adjusting two adjustable parameters. This method has the better ability for reducing noise interference, moreover, better SNR, MSE value are obtained.

Clustering of large datasets has been widely used to retrieve relevant data or to discover novel data associations. Topology preservation of the original dataset is not always mandatory, unless the dataset has a temporal-spatial nature since, in this case, the data in the same cluster as well as the ones of the closest clusters should be related as in the real system. However, only few existing parallel methods preserve the original dataset topology. Also, few times such methods have been used to help the management of real time systems due to their limited parallelism degree. Aim of the paper is to illustrate how such requisites may be fulfilled by using a SOM based parallel clustering method developed recently by the authors. In particular, the clustering of relevant video sequences that helps the management of real time location systems are discussed to point out how this allows us to provide novel location intelligence services to the mobile users.

In this paper the classical solution for the singular distributed parameter systems is discussed, we obtain the classical solution of the different system, it is important to the next study for the control of accuracy of the singular distributed parameter systems.

Aiming at old-solar water heater has not the function of feeding water automatically, we introduce one kind of simple and convenient equipment can control water automatically. Comparing with the equipment in the market, the equipment we introduce has the characteristic, such as it can be fixed easily, maintain simply and conveniently, has lower breakdown, higher cost performance.

In general, a typical iris preprocessing system includes image acquisition, quality assessment, normalization and the noise eliminating. This paper focuses on the middle issue and describes a new scheme for iris preprocessing from an image sequence. We must assess the quality of the image sequence and select the clear one from this sequence to the next step. After detecting the pupil coarsely, we get the radius and center coordinate. We can extract local texture features of the iris as our eigenvector, then utilize k-means clustering algorithm to classify the defocused, blurred and occluded image from clear iris image. This method obviously decreases the quality assessment time, especially some people’s iris texture are not distinct. Experiments show the proposed method has an encouraging performance.

The multi-mode motion estimation algorithm of H.264 standard has the shortcoming of encoding mode complexity and large computation. In order to solve these problems, this paper proposed a fast mode selection algorithm that combined the prediction method with some mode exclusion method. This method can rule out SKIP mode and inter 16 × 16 mode in advance, and divides the rest mode into two parts according to the texture complexity, then rules out the mode contained in each section one by one according to the texture direction, at last, gets the optimal mode. Experimental results show that this method can predict up to 47% of SKIP macroblocks in advance in the case of almost no additional computation, efficiently avoids unnecessary mode selection process, and greatly reduces the encoding complexity and encoding time.

This paper aims to investigate the thermal and visual comfort of classrooms in hot summer and cold winter zone. A survey including objective tests and subjective questionnaires were carried out in a classroom in Ningbo University. Results show that occupant factors have a big influence on indoor comfort and the improvement of the occupant behavior should be enhanced in order to create a comfortable indoor environment for learning.

In this paper,we explore a facial expression recognition approach based on shearlet transform which is a new image multi-scale time-frequency analysis method. In addition to multi-resolution and time-frequency localization owned by traditional wavelet transform, the shearlet transform also provides directionality and anisotropy. Moreover, the low frequency components in shearlet transform are extracted as features; the SVM (Support Vector Machine) is used for classification. Experimental results show that the proposed approach achieves better recognition rates compared to the traditional approaches on the JAFFE database and Ryerson database.

With the continuous development of science and technology, Information technology plays a more and more important role in teaching, which also includes physical education in colleges and universities. This study makes a systematic analysis for physical education in colleges and universities from the perspective of information engineering. At the same time, this study also analyzes the effect of modern information technology on the entire process of physical education and sports teaching in colleges and universities, and the positive impact of modern information technology on physical education teaching innovation.

Variable precision rough set model is the extension of rough set model, which introduce the

β

parameter based on the basic rough set theory, that is, allows a certain degree of misclassification rate existing. This paper presents the web mining algorithm based on variable precision rough set in e-commerce, analyzes the limitation of the reduction methods based on variable precision rough set theory. The experiment shows the CPU Time in the attribute numbers, indicating that VPRS is superior to normal algorithm in web mining in e-commerce. The experiments show the algorithm could flexibly and dynamically web mining and therefore provide a valuable addition to the field.

With the rapid increase of information on the Internet, vertocal search engines have become more and more popular. This paper firstly analyzes the development status of vertical search engines, then make comparisons of vertical search engines and horizontal search engines and list the characteristics of vertical search engines. On these basis, it discusses the development necessity of vertical search engines. At last it makes prospect for the development of vertical search engines.

This paper provides a new partial network coding scheme suitable for WSN. The sensor nodes of this scheme include four states: Normal, Coding, Suspend and Sleep. Transformation between these states is energy-oriented and relevant scheme are divided into three steps: Initiate coding, Check Period and Balance energy. First, the paper describes the designing process of this scheme, and then describes the coding and decoding process of random linear network coding used in this paper. At last, according to the result of the NS2 virtual experiment, this scheme exceed traditional network coding schemes: increasing the efficiency of network resource usage, decreasing network lag and expanding living period of WSN.

With the economic development and scientific technological progress, information technology raised rapidly, and become the dominant factor of socioeconomic development. Information technology applied in nearly all industries, in the field of sport science, information technology promote the development of sports science, and sports science development cannot be separated from the information technologies; This study analyze the application of information technology in the field of sport science, explain the importance of information technology application to develop sports science, proposed creating a unique means of information technology in sports to make sports science have a better development.

Aiming at the degeneration phenomenon of images taken in mist, according to features of the drop quality image, using contrast attenuation of atmosphere scatter model and the mist image has the relation of index with image depth, this paper puts forward a kind of algorithm which estimates scene optical depth from several drop quality images based on degradation model, and then the method is applied to drop quality image fog removing. The experimental results show that the method can effectively improve the fog degeneration phenomenon and improve image clarity, significantly improving drop quality image visual effect.

Mobile learning is learning across a variety of situations or places supported by handheld mobile technologies. To date, few researchers discussed harmonious interaction and its design in m-learning. This paper explains the connotations of harmonious interaction, analyzes dimensions of harmonious interaction design. Harmonious interaction is a whole interaction that learners integrate with mobile learning devices, learning resources and the environment in the learning process according to their needs and goals. Harmonious interaction design is the representation of the effective operation process between the various elements for mobile learning system, and its ultimate goal is to promote learning. Harmonious interaction design in m-learning includes three dimensions: situations and learning resources, device performance, and emotional experience, and reduces learning loads and improves learning efficiency.

It has been known that personalized recommendation system is a very important and necessary topic in electronic commerce. Many famous electronic commerce websites employ recommendation systems to convert browsers into buyers. The forms of recommendation include suggesting items to the users, providing personalized service information, summarizing community opinion, and providing society critiques. Collaborative filtering is the most successful technology for building electronic commerce personalized recommendation system and is extensively used in many fields. But traditional collaborative filtering recommendation algorithm does not consider finding the nearest neighbors in different time periods, leading to the neighbors may not be the nearest ones. To solve this issue, an electronic commerce recommendation approach based on time weight is presented. In this method, the time weighted rating is used to search the recommendation items for target users.

Recommendation system is becoming an important part of electronic commerce systems. And collaborative filtering is the most hot research topic for building electronic commerce personalized recommendation system and is extensively used in many fields. Collaborative filtering aims at predicting a target user’s ratings for new items by integrating other like-minded users’ rating information. The user-based approach is a common technique used in collaborative filtering. This method first uses statistical approaches to measure user similarities based on their previous ratings on different items. Users will then be grouped into different neighborhood according to the calculated similarities. Finally, the approach will generate predictions on how a user would rate a specific item by aggregating ratings on the item cast by the identified neighbors of the target user. Collaborative filtering algorithm usually suffers from two fundamental problems: sparsity and scalability. In this paper, the problems of sparsity and scalability are described. And an overview of collaborative filtering recommendation algorithm in electronic commerce is presented.

By analyzing the vulnerabilities of IEEE 802.11 protocol, and based on the scheme of capturing, filtering and analyzing frames, the algorithm for cracking WEP protocol key was put forward to intruding the target host in WLAN. Then combined with the key technologies of Trojans such as the covert and anti-killing, a remote monitoring framework based on the mechanism of Trojans was designed. According to practical requirements, some forensics methods were provided in the framework such as screen monitoring and file management. Experiments results show that the forensics system was of high reliability and strong survival ability, and achieved the purpose of real-time, covert and active forensics.

As a common device of peripherals, keypads are used popularly. FPGA(Field Programmable Gate Array) devices and VHDL, a hardware discription language, software are common in computer and electronic design. The design is based on FPGA. The simulation and test are taken. With the keypad controller, a microprocessor in SoC will manage keypads more easily and quickly. In this paper, a reconfigurable IP module of keypad controllers is discussed.

On the basis of analyzing the characteristics of voice traffic, this paper constructed a Stochastic Petri Net (SPN) model for data and ON-OFF voice traffic hybrid system. Then, average time delay of the system was analyzed and model-based simulation was conducted with Stochastic Petri Net Package (SPNP) 6.0. Consequently, variation trends of burst time and idle time on average time delay are derived thereby. The methodology of modeling and simulation in this paper can be further used to analyze the performance of multimedia hybrid traffic system.

The intelligent control makes automatic regulation of complex processes to be easier. A design of some intelligent control system is not the more complicated than the traditional method. This paper focuses on the simplification of design for automation based on the technology of intelligent fuzzy control. For some MIMO systems, the technology based on artificial intelligent and fuzzy control is more simplified and practical.

By the relationship of

α

-times integrated semigroups and

C

semigroups ,the Laplace inverse transformation for

α

-times integrated

C

semigroups is obtained,some known results are generalized.

Quantum memory offers great potential advantage for solving some problems which are of super-polynomial time complexity by contrasting with classical computer. In order to improve the memory bandwidth for masters accessing external memory in the quantum system, a multi-port memory controller based on the AHB bus is developed. Also, an arbitration strategy for the early arbitration and request waiting priority is proposed. A number of masters are requested to access the external memory through a number of ports. The arbitration selects the highest-priority port in the early arbitration moment and sets the request waiting time for the other ports that are notallowed the access request. The early arbitration moment occurs before the completion for the current read/write operations. When the next early arbitration moment happens, the arbitration arbitrates these timeout portsin preference.

After the construction wave of app stores which involved almost the whole ICT industry, the communications service providers’ (CSPs) app stores have lagged far behind the ones of device manufactures and operating system providers. Based on identifying the platform type and unique network assets of CSPs, a unified strategy framework is proposed for CSPs to choose their appropriate way for operating app stores according to their IT execution and competitive power. Furthermore, for each type of CSPs’ app stores, the crucial IT and communications capabilities needed to configure are recommended.

Single-crystal silicon growth furnace is composed with lots of components and peripheral devices, which are difficult to be controlled manually at the same time. In order to satisfy the control requirements of single-crystal silicon growth furnace, the paper designs a control system, which is composed with four modules: control scheme design module, automatic control module, safety monitor module and manual control module. With the control system, operators can control growth furnace more conveniently. The control system can relieve the work of operators greatly.

Geological surface mesh generation is a prerequisite for 3D topographical modeling and also is one of the most difficult tasks due to the complication. Interpolating surface modeling is a new paradigm using interpolating grid to model surfaces of any arbitrary topology. In this paper, we combine it with the traditional Delaunay triangulation algorithm to design a new surface mesh generation scheme. Using this scheme can avoid the disadvantage of the traditional analytical model on the discontinuous surface modeling and can establish the underlying geometric model from random scattered measurements, The results of the applications show that it produced a good mesh shape. The ability to deal with the sharp changes also is very good. All of these characters make this scheme have a great potential application in finite element analysis in geological area.

The CNC lathe will vibrate during turning if it is excited by the off-center force. Vibration is a key factor effecting image quality of CCD in the lathe. One degree of freedom spring-mass-damper mechanical model of the CNC lathe is built. And, the corresponding mathematical model and simulative model are also built. We used Modulation Transfer Function (MTF) to evaluate the influence of vibration on image quality. The effect of linear and angular displacements due to the vibration on the imaging quality is presented. Relationship of image motion with linear and angular displacement is established. It is concluded that the angular displacement is the key factor effecting image quality after having made qualitative analysis on motion image according to practical project.

The superfluous torque is a key issue on electric load simulator. How to overcome the superfluous force is the critical issue for designing load simulator and improving control system performance. In this paper, the electric load modeling on the basis of the RBF neural network algorithm for system identification of the system model and the PID parameters, real-time updates PID control parameters to ensure that the system dynamic and static characteristics. And through simulation, the controller reduces the excess torque on the system.

Based on database technology, a test system of choice-question is realized with Authorware. The test system is composed with three modules: generation module of test, examination module of choice-question and evaluation module of answers. Generation module of test is responsible to randomly select a certain number of questions to form a test paper. Examination module is responsible to display the questions to candidates one by one, and record their answers. Evaluation module is responsible to compare candidates’ answers with standard answers, compute their score and generate evaluation information. The test system is developed with database technology. For different tests, the test system only needs to connect corresponding question database without needing to change its source code, which is suitable for large-scale standardized tests.