Proceedings of the 2011, International Conference on Informatics, Cybernetics, and Computer Engineering (ICCE2011) November 19–20, 2011, Melbourne, Australia

As the low-temperature wind power generator protection intelligent system with the complexity in control, a fuzzy control algorithm is presented to achieve the accuracy control of the low-temperature wind power generator protection system with Matlab simulation. The research result indicates that this system has stable operation, with a high degree of automation, which is conducive to the improvement of control quality of the low-temperature wind power generator protection system.

The method of rapid prototyping of TI C6000 DSP is introduced in this paper. Using this method converts Simulink model to target C code in CCS IDE, and downloads executable code to TMS320VC6713 DSK hardware platform; As a result, MEL Frequency Cepstrum Coefficients with better speech recognition performance is extracted by this system, furthermore, exploiting this method eliminates the traditional cumbersome programming work about hardware driver and algorithm development of DSP system. Experiment shows that the method can quickly and effectively develop DSP applications system, improves the flexibility and reliability of the simulation system, so it may be a good solution for system-level verification of algorithms.

Accurate pavement elevation size plays an important role in calculating roughness index exactly. The measurement system used optical pulsed ranging. A reasonable algorithm was proposed to make laser sensor calibration. Based on this algorithm, spatial coordinate system was established to analyze the measured data. Then the space coordinates of the scanned points and the data of pavement profile points could be obtained in the laser scanning plane. After the combination of the laser sensor data and the acceleration sensor signals, we can get the accurate pavement elevation size finally.

Voice Recognition is a rising cross-subject, how to communicate with machines freely is a focus problem to many researchers. This paper provides a voice recognition method based on artificial neuron network model, and develops a telephone voice system for ordering songs.

In this paper a new proposal of multi-functional liquid level meter is presented. A new structure sensor called as multi-functional parallel-plate capacitor sensor with four electrodes has been developed. By detecting three capacitance values, the liquid level and permittivity of this liquid and inclination angle of the container are determined at the same time. In this process three theoretical formulas have been obtained and used as tools. The outcome of this research proves that proposed sensor can be used to estimate the liquid level, the permittivity and the inclination angle in some conditions at same time.

A system of gas-liquid separation and metering was designed in this paper. It realizes to measure each phase of the original mixture in the processes of petroleum, chemical, natural gas and other industry. The design of the hydrocyclone and the separation controller was introduced in detail. This system can separate the gas and liquid from the original mixture, and can measure their content through the corresponding metering device. The system has the characteristics of Reasonable structure and Stable performance. Provide a better solution to the means of gas-liquid separation.

Underground Pipeline is an integral part of the urban construction, as there are various pipelines in our city. These pipelines usually distribute in a special environment, and need higher requests to management and maintenance. Recently, there are many pipeline systems are used in many city, but these systems can’t meet the demands to pipeline management and maintenance with the urban expansion. At the same time, there is need of dynamic update for underground pipeline in time. In this paper, authors focus on constructing and visualizing pipeline model and pipeline data interactive update.

Considering the over-segmentation problem of traditional watershed segmentation, we proposed an adaptive watershed segmentation method. We made four improvements in this paper. Firstly, by using multi-level wavelet transformation and selecting different thresholds and filter functions corresponding to different frequency components, random noises could be eliminated effectively in the image. Secondly, we proposed a new method of markers extraction based on scale, gradient and edge information. The true markers which are relevant to objects can be extracted precisely from the homogeneity gradient image. Thirdly, we proposed the cost of region expansion was calculated based on spectrum features and fractal dimension. The regions can expand with inner homogeneity as far as possible. Fourthly, we designed a new algorithm of adaptive threshold selection, and proposed a heuristic decision of region expanding based on it. Our heuristic decision can make regions expand in a simultaneous way. From the experiments, the improved adaptive segmentation method can make regions expand not only in a simultaneous way but also with inner homogeneity as far as possible. The proposed method can obtain meaningful and homogeneous regions with accurate, consecutive and one-pixel wide boundary.

With the rapid growth of online information, text categorization has become one of the key techniques for handling and organizing text data. Support Vector Machine is a promising classification method based on the Structural Risk Minimization principle and kernel function method, and has been shown to yield good generalization performance on a wide variety of classification problems. This paper tries to adopt SVM to establish a text categorization system. The experimental result shows that SVM consistently achieve good performance on text categorization tasks.

Web services composition has gained a considera-ble momentum as a means to create and streamline B2B collabo- rations within and across organizational boundaries. This paper focuses on the web services composition and provides a novel selection algorithm based on global QoS optimizing and Multi-objective Chaos Ant Colony Optimization (MOCACO). Firstly, the web services selection model with QoS global optimization is converted into a multi-objective optimization problem. Further-more, the MOCACO is used to select the service and optimize QoS to satisfy the user constraints. During the optimizing proce-dure, the random and ergodic chaos variable is used to make an optimal search, it overcomes the problem of low efficiency and easily being in a partial optimization that ant colony algorithm brings. The simulation shows that the MOCACO is more efficient and effective than Multi-objective Genetic Algorithm (MOGA) applied to services composition.

In the large-scale supply chain network, the supply capacity of core enterprise is not only affected by itself, but also by the supply capacity of partners. So it is of vital importance for the core enterprise to make vendor selection in the supply chain to achieve maximum supply capacity for the entire supply chain network. In order to solve difficult calculation effectively, we adopt nested hybrid genetic algorithm with computer software to optimize this issue. The calculation result indicates that this method draws the right vendor selection and figure out the maximum supplying capacity for the network.

Using the planned behavior theory and the relevant information theory, this paper explores a model that explained the relationship between customer reviews and purchase intention. The finding shows that ”content” has a significant impact on ”attitude”; ”quantity” has a significant impact on ”subjective norms”; ”form” and ”time” has a significant impact on ”perceived behavior control”; the mediating variables ”attitude”, ”subjective norms ”,” perceived behavioral control ” also significantly affect on” purchase intention ”.

Most of the traditional human resource evaluations are applied to individual employees. The study object in this paper is the general state of human resources of power generation enterprise. According to the feature and actual situation of the study object, this paper established the evaluation indicator system of power generation enterprise human resource by using Delphi method. Based on the theory of fuzzy mathematics, combined with AHP and Delphi method, the multi-level fuzzy comprehensive evaluation model was established. Through the empirical study on a 330MW power plant, it indicated that using this research method can acquaint the status of human resources accurately and efficiently.

In traditional harmonic analysis power system, the single duty non-order mechanism enables system’s secure quality not to be able to obtain completely the guarantee. There are often poor security issues. In view of this problem, this paper introduced a strong real-time and preemptive multitasking embedded operating system

μ

C/OS-II as an operating platform, used Fast Fourier Transform (FFT) of the harmonic detection method, by

μ

C/OS-II may cause system stability and real-time on the NiosII transplant has greatly improved, making more accurate measurement of harmonics.

One of the difficult problems encountered when implementing artificial neural networks based FPGA is the approximation of the activation function. The sigmoid function is the most widely used and is most difficult to approximate. This paper is devoted to show a saving hardware resources and accurate way to compute the sigmoid function based FPGA by non-linear approximation. This is done by subsection analysis involved a new low-leakage FPGA Look-up Tables (LUTs), introducing a non-linear approximation algorithm in detail, analyzing the approximating accuracy and the FPGA hardware resources, which can achieve some kind of balance between the approximating precision and the limited hardware resources of FPGA, shows improvements over the previous known algorithms. The implementation of sigmoid function and the simulation are completed by the development software of QUARTUS II.

The intermediate nodes of traditional R-tree use the smallest bounding rectangle as the indicator, in the case of rapid increasing in the amount of data, it will generate much overlapping and coverage between MBR, the index performance and query efficiency will drop significantly. This paper will use the data structure based on grid coordinate division to indicate the intermediate nodes MBR of R-tree, a new R-tree index (GR-tree) based on grid coordinates division is proposed, grid coordinates make the location of space entities and its MBR confirmed, therefore reduce the overlap and coverage between MBR, and by using coordinate tree and circular linked list to store spatial object entities, during the process of index operation, the performance of inserting, deleting, querying algorithm is superior to that of the traditional R-tree, so it can greatly reduce the time complexity of algorithm.

This paper analyzes the objective necessity of China’s enterprises to increase the capacity of independent innovation, and the main problems of Enterprise Independent Innovation in the current. Besides, it also proposes to establish the dominant position of enterprise innovation, choose their own innovative models legitimately, broaden the investment and financing channels for independent innovation, strengthen the integration of study and research and strengthen the Promotion of Government which are important ways to improve the ability of independent innovation of Chinese enterprises.

This paper introduces some basic parameter models and methods of simulation of array signal processing. To deal with these different models and various algorithm, MATLAB offers great instructions and functions; which make the simulation considerable convenient. The key programs were proposed, which could simulate complex and real valued covariance matrix estimation, estimate the DOA (direction of arrival) of impinging signal by subspace algorithm, such as MUSIC, Root-MUSIC, Unitary Root-MUSIC. Some examples show the detail procedure and programs are useful to the array signal processing research. Furthermore, these methods take an important function to many other complicated simulations.

At present our country web cam scale, the wide band web cam counts, the national top domain name registration to measure three targets to occupy the world first, the network becomes the main platform which the people work, is also the important part which many people live, does must accept and adapt this kind of work and the life style for the government, “the network spokesperson” is the government adapts the information age request. “The network spokesperson” is the inevitable result which the electronic government develops. Is the government fulfills the function the way from the reality to hypothesized extending. “The network spokesperson” does lasts a generation of product, it must consummate the system comes to guarantee and the standard. Is clear about its legitimate status, the standard “the network spokesperson” the working routine, is clear about its function. “The network spokesperson” is connects the government and public’s link, is enhances the government to serve the efficiency the new role, had the science standard system’s safeguard to be able to cause its health the development.

This paper discussed the structure and algorithm of T-S fuzzy neural network controller which has the character of fuzzy logic and neural network theory, for the nonlinear system characteristics of uncertainty, high order and hysteresis, this paper used the fuzzy neural network technology to control nonlinear system and improved the control quality obvious, take the single inverted pendulum for example, the paper constructed the nonlinear mathematic model , realized the control with the method of the T-S fuzzy neural network, and compared with fuzzy control, the simulation results indicate that the method of T-S fuzzy neural network can realize the stabilization control better without the linear model of system, and has a higher robustness.

Based on the analysis of current economic position, organizational structure, legal mechanism and practical dilemma of Chinese third-party e-business platform for medicine, we adopted methods such as the qualitative method, content analysis method, comparison analysis method etc., to point out the importance of the improvement in the accurate credit system of the third-party platform, the security electronic authentication and payment systems in the information construction of participants. We propose effective management strategies for perfecting it.

Networked Control System of Controllable Pitch Propeller (CPP) is the subsystem of ship’s propulsion system. It influences mostly ship motion, so it’s important to study pitch’s modeling and controlling in order to improve ship’s seaworthiness. Along with the better requests of response speed and maneuverability in ship’s propulsion system, it has been developed from traditional control system to distributed networked control system, while the way of networked control has inevitably caused indefinite network delay. The networked controller has been designed based on the combination of Support Vector Machine, Generalized Predictive Control and Queuing Strategy. It is shown by the study case that the algorithm could effectively compensate the influence of network delay and the networked control system posses of better performances of stability and robustness.

A fuzzy logic controller is proposed for the 1/4 vehicle semi-active suspension system with magneto-rheological damper. The vertical velocity and acceleration of the vehicle body are taken as the input of the fuzzy logic controller and the damper force is taken as the output of it. The fuzzy rules are deduced on basis of different kinds of membership functions and defuzzification methods. Then, Matlab Simulink is utilized to carry out simulation analysis on the whole system. The results show that the exactness carried out by the Gaussian membership function and by the utilization of area bisection method make the control effect satisfactory. Compared with the passive suspension, the semi-active suspension has better performance with obviously reduced body vertical acceleration by using the fuzzy controller, which can greatly improve the vehicle ride comfort and handling stability.

Most previous IE (IE) work relys on the analysis of the DOM tree of HTML file. When hundreds of information sources need to be extracted in a specific domain like news, it will lead to decreased accuracy. Based on the features of news articles, this paper proposed a new way to get news content desired by washing noise information and text group statistics. The experiment proved the effectiveness of the algorithm.

Internal harmonious management is an important part of enterprise development, The remuneration system is an important foundation and assurance of internal harmonious management in enterprise. In this paper, we established two game models—A simple harmonious management game model and A harmonious management game model of the introduction of competition mechanism. Both are used to study how to achieve internal harmonious management relationship of manager and staff, and the research results points that reduce design costs of the remuneration system and improve the effectiveness of competition mechanism are necessary prerequisite for achieving harmonious management, and propose some relevant policies and proposals.

For researching the regional competition and the industrial cluster growth situation of Dalian City, the paper regards the characteristic industry clusters as an innovative viewpoint. Through combining the fuzzy cluster model with the AHP method the paper builds the identification and decision mechanism of characteristic industry clusters. To the example of petrochemical industry cluster the paper analyzes mathematically the 10 industry cluster items that Dalian cultures and develops importantly. Under the base of above, from the system optimal viewpoint the 8 regional characteristic industry clusters are selected which may possess the most cultural value and development future. And eventually decision references are provided to the growth and future tendency of Dalian characteristic industry clusters.

One-class Support Vector Machine (OCSVM) is an effective method in researching of one-class classification problems, which extracts a hyperplane in a kernel feature space such that a given fraction of training objects may reside beyond the hyperplane, while the hyperplane has maximal distance to the origin. However, OCSVM is generally based on vector pattern, hence, when the input of the classifier is a non-vector pattern, such as a face image, it has to be concatenated to construct a vector firstly. In this paper, inspired by 2D feature extractions and 2D classifier designs, we develop a new OCSVM based on matrix patterns, called MatOCSVM. Experimental results on ORL face database and Letter text-base show that the proposed method is competitive in one-class classification performance compared to OCSVM.

Precision marketing is an important marketing strategy to improve customer satisfaction and customer value. This essay combines two-step clustering and Apriori algorithm in data mining technology efficiently, introducing two-stage behavior analysis model, and provides application cases of two-stage behavior analysis model in both customers segmenting and customers consumption patterns mining, taking precision marketing of telecommunications data services as an example.

In this paper, we address the problem of blind two dimension Direction Of Arrival (2D-DOA) and frequency estimation with L-shape Array. This paper links 2D-DOA and frequency estimation problem to the trilinear model and drives a novel blind joint angle and frequency estimation algorithm. Angle and frequency are obtained based on trilinear decomposition of a trilinear model which is constructed based on the oversampling system output. The proposed algorithm has better performance and supports small sizes. The useful behavior of the proposed algorithm is verified by simulations.

This paper proposes a new automatic image edge extraction and segmentation method. Firstly, We extract the image’s edge automatically by random seed regions search algorithm. Obviously, we can choose the initial seed randomly and automatically. Moreover, we can adjust segmentation threshold automatically depending on contrast of image. Then, we conclude that our algorithm is effective comparing with the other’s popular image edge extraction and segmentation methods.

The article introduces a screening control system consisting of programmable logic controller and human-machine interface (HMI). It discusses the structural characteristic of the control system. It describes the hardware components and overall design, and it also provides the program design processing. The system uses PLC industrial control technology and network technology to achieve the control of the multiple high frequency screen and multi-exciter respectively. The Touch Screen (HMI) design provides a graphical user interface and creates a good operating environment for the users. The control system is flexible, simple and stable.

This paper investigates the combination of diverse lexical, syntactic and semantic information in feature-based protein-protein interaction extraction using SVM. Our study illustrates that dependency information as well as base phrase chunking information is very effective for feature-based PPI extraction while the full parse feature have less effect on the overall performance. Experimental evaluation on the AIMed corpus shows that our system achieves a promising performance of 54.7 in F-measure, surpassing other state-of-the-art feature-based ones.

Expert system can help the technician to find the Origin of concrete crack effectively. This article proposed design method and frame construction of system. This system used the frame to express the knowledge, and established the characteristic slot, the category slot and the grading slot and so on 5 slots under the crack frame. It determines the proportion of each key value of characteristic slot using the neural network non-supervised learning method. Finally we obtains the subordinate type of the crack and the probability, and gets the concrete remedial treatment and the preventive measure according to the grading result. The concrete example in the end proves this method valid.

The robust non-fragile

H

 ∞ 

control problems for stochastic systems with time-varying delay and nonlinear perturbation are investigated in this paper. Firstly, the delay-dependent stochastic bounded real lemmas are obtained in terms of linear matrix inequality. Then, based on the stochastic bounded real lemma, for the additive controller uncertainties, the non-fragile controllers are designed by solving a LMI. A numerical example is given to show the validity of the obtained results and the effectiveness of the proposed method.

This paper pays attention to the relationship between corporate governance and operating performance. Empirical researches stood on a special position of small and medium-sized enterprises and used 318 observations. Final conclusions show that operating performance is positively relative to proportion of controlling stockholder and concentration on stocks from top 2 to 10 stockholders. But operating performance isn’t relative to the characteristic of controlling stockholder. Furthermore, operating performance is negatively relative to board size and proportion of independent directors. Institution investors also would promote operating performance. Empirical results would help to strengthen corporate governance for small and medium-sized enterprises.

In this paper, a novel design scheme of adaptive neural network controller design is proposed for a class of strict-feedback nonlinear systems. The problem of explosion of complexity in traditional backstepping design is avoided by utilizing dynamic surface control. In addition, parameter projection algorithms are employed to avoid the singularity of adaptive controller. By using Lyapunov method, the closed-loop system is shown to be semi-globally uniformly ultimately bounded, with arbitrary small tracking error by appropriately choosing design constants. The simulation results demonstrate the effectiveness of the proposed method.

As an important participant in China’s construction market, construction SMEs are confronted with the tasks of keeping themselves competitive. To help construction SMEs maintain and improve competitiveness, this research builds a conceptual model to investigate the relationship between core competence and performance within Chinese construction SMEs. Based on data collected from 121 construction SMEs in China, this research has confirmed the importance of entrepreneur capability, relationship marketing and project management to achieve their superior performance.

In DVB-T standard, OFDM was recommended to improve the ability of anti-interference of multiple path and system spectral efficiency. In order to demodulate OFDM signals accurately, channel estimation is needed for received signals. In this paper, the channel estimation method based on pilot is discussed for DVB-T system, and a new two-dimensional time-frequency interpolation channel estimation approach is proposed. Which using linear interpolation in the time-domain, and using Gaussian interpolation in the frequency-domain. The paper presents bit error rate performance generated from computer simulations. The simulation results show that the two-dimension interpolation approach possesses better performance than the single dimension interpolation method.

For more clear understanding of the measurand, enough information must be obtained in a limited time and space. an improved particle swarm optimization (IPSO) is proposed, and the attempt to use an IPSO algorithm for fuzzy clustering to achieve the partition information sets. In the process of partition, the concept of Shannon entropy is introduced. The information set is divided into subsets according to measurement information entropy and the constituted objective function, and its essence is the use of different sensors to obtain a greater amount of information. The method is applied to logging data set partition.

A speech synthesis system based on lipreading technique was investigated for rehabilitation. In order to acquire more features of lip contours and improve the recognizing rate of lipreading, a new unsymmetrical lip contour model was analyzed to extract the degree of pouting, and the differential coefficients of some parameters were calculated to describe dynamic character of the lip contour. Experiments were carried out in a small database of isolated Chinese phonemes based on Hidden Markov Model (HMM) recognizer. Compared to the traditional symmetrical lip contour model, the new parameters from the unsymmetrical lip contour model improve the recognizing rate more than 25%.

Firstly, the article analyzes the factors influencing the risks of knowledge chain. They are: external environment, the characteristic of cooperation organization, the characteristic of knowledge; then, the article identify each kind of risk in knowledge chain and make an analysis on them. At last, it give a view on risk management in knowledge chain.

With the development of China’s economy, trade volume increasing year by year, prepaid accounts trade financing has been the key to success for more and more enterprises. This article intends to explore several modes and its selection of current domestic prepaid accounts trade financing deeply and systematically from the perspective of supply chain.

This paper proposes an improved UDP-lite protocol for transmitting the 3D model over wireless network. Before the transmission, the model is divided into important data and less important data. Also, we will present a importance criteria for the mesh data. And then, they are transmitted by modified protocol based on the UDP_lite respectively according to this importance criteria. The simulation results demonstrate that network throughput and end-to-end delay have significant improvement and the graphics quality has no apparent degradation.

In this paper we analyze a reverse supply chain system that satisfies the market demand with remanufactured products. Demand is assumed to be random and the expected return is to be price-dependent. A firm needs to make recovery and production decision in the face of this uncertainty. We analyze both centralized and decentralized models to determine the optimal acquisition price and the optimal production quantities of remanufactured product for the firm. We also coordinate the decentralized systems with a two-part tariff contract and determine the optimal contract parameters. Finally, we present our numerical analyses to observe the effect of cost parameters on the system performance.

In order to let intelligent vehicle which have time variant and nonlinear characteristics run at enough high speed and automatically adapt to changing circums-tances, using fuzzy neural network based on genetic algorithm to classify the stalls of the speed control system and adjust the system parameters value .It overcomes the drawbacks of nonlinear and time variant. Ultimately intelligent vehicle is able to automatically classify the stalls and give an optimized speed. Simulation results show that the algorithm can greatly improve the intelligent vehicle’s speed and the system has strong robustness.

It is important to study on environmental monitoring and control of greenhouse and improve agriculture facilities. The mathematics model of environment temperature is established based on the fuzzy control theory which deals with the problems of traditional greenhouse, such as outdated management, high cost, low-level, etc. automatically. The system detects the environment parameters based on PCI-DAQ data acquisition system, and adjusts the air blower rotate speed by frequency converter. It is used to run in real environment, the original environment temperature is 30°C, the given value is 27°C, and the range is within ±0.5 °C. The system controls the temperature parameter real-timely based on fuzzy control technology. Compared with the traditional PID control system, it can increase the stability of system, avoid the subjectivity and random of manual operation, and improve precision and efficiency of the whole system. The system has high practical value and using prospect since it meets the request of scientific producing and automatic management of greenhouse.

Most managers agree to that the staff’s selection is the most difficult and important decision. Why couldn’t the traditional selection method effectively predict future job performance of the candidates? Why are the recruitment decisions which emphasizing the high academic qualification and experiences often being challenged by the reality of ”high marks, high ability but low-performance”? The decision-making model is proposed in this paper as the answer. By the empirical analysis of the real practice data of one IT enterprise, we confirm that the rationality of the recruitment result can be improved and the high loss ratio of R&D staffs can be curbed from the ”source” by the use of the Model. It also proved that the scientific and reasonable evaluation model can help to inspect the candidates from multi-directional manners rather than focusing only on technical level and ability by the use of the fitful assessment tools so that it helps to improve the efficiency of the recruitment work.

Scalability of parallel system is an important goal which designers and users of parallel system seek for. It is also basic factor of performance evaluation and optimization of parallel system. Therefore scalability of parallel system becomes a research hotspot. At present high performance computing are most heterogeneous computing. Based on it in the paper we firstly regard heterogeneous computing as a research object, and present heterogeneous matching matrix of making computing tasks and architecture combining. Secondly we present scalability definition and function of heterogeneous computing. Thirdly by actual situation of computation task we give scalability conditions of meta task pool. Finally sample analysis has verified the scalability condition in heterogeneous parallel system.

The paper proposed that knowledge management architecture under virtual enterprise based on the analysis of the virtual enterprise knowledge management knowledge grid environment, examined a number of issues about employees and inter-firm knowledge management in virtual enterprise under knowledge grid environment, Studies have shown that it can share and manage knowledge resources effectively by using the knowledge grid knowledge management of virtual enterprise integration environment.

This paper introduces the connotation of CRM theory, and then provides the existent question about CRM in the China companies, such as less support from top management, funding and resource allocation are not in place and so on. With the analysis of CRM system requirements of North China Power Engineering(Beijing) CO.,LTD., customer data card, system function, the system processes, database were designed, and effectiveness of the system was summarized. The results finally show that the system is safe and efficient, conducive to coordination among various departments, has a good scalability, and enhances the enterprise’s core competitiveness.

Using the Xinjiang NPP data simulated by GLOPEM from 1981 to 2000, combining with the corresponding meteorological data, vegetation data and LUCC, the spatio-temporal changes of NPP and climate factors in 1981-2000 were analyzed. The correlation between climate factors and NPP was also analyzed. Finally, the responses of the NPP changes to climate changes were studied. The results showed that, (1) during 1981 and 2000, the annual NPP increased remarkably, the temperature and the precipitation also increased. NPP increased in spring, summer and autumn, but there was spatio-temporal variance between inter-annual changes of NPP and the changes of meteorological variations. (2) the inter-annual changes of NPP and meteorological variations were positively correlated, the growth of NPP was less than that of temperature and precipitation. The year that NPP peaked was not correspondent with the year that the temperature and precipitation peaked, yet the growth rate of NPP lag behind of that of temperature and precipitation slightly. (3) in 1990s, the correlation coefficients between NPP and meteorological variations increased more or less than 1980s. Moreover, the coefficients of the higher vegetation cover types were generally greater than that of the lower vegetation cover types.

The ecological environment of Tibet located in Qinghai-Tibetan plateau has great ecological meanings for global climate changes. GIS, RS and GPS are applied to constructing Tibetan landuse database in this study. And ecological index (EI) is defined to evaluate the regional ecosystem status. The results show that: (1) the unutilized area and grasslands are the primary landuse of Tibet; (2) the Tibetan eco-environmental status is relatively good with EI of 86.85; (3) the eco-environmental status of Lhoka is best with EI of 99.62. The next are Chamdo, Xigaze, Nyingchi. Those of Nagri and Nagchu are inferior with EI of 62.46 and 56.16; (4) there are six counties with excellent EI, which is 8.22 percent of 73 counties. There are 51 counties with fine EI, which is 69.86 percent of 73 counties, and 16 counties of general EI, which is 21.92 percent of 73 counties; (5) the ecological index (EI) can not embody the natural fragility completely. The more indexes should be considered in the EI calculation equations to reflect the ecological environment more accurately.

Tangshan is a typical resource-based city, so it will face city’s transformation and need to adjust its industrial structure as other resource-based cities. Tourism industry, with its feature of low cost but high yield, low energy consumption and pollution, strong driving effect and high employment, becomes the preferential choice for transforming a city’s economy. Therefore, it is essential to utilize Tangshan’s superior resources, location and economic environment, focus on its tourism industry to promote the first and second industry transforming to tertiary industry, and then can optimize Tangshan’s economy overall.

In order to prevent possible over-extraction of the groundwater and maintain sustainability of groundwater supply in Kang-Ping Developing District (KPDD), a numerical simulation model of groundwater flow system was built based on analyzing and conceptualizing the local geological and hydro-geological conditions and solved by Visual Modflow. The results show that the model-simulated water heads match the measured historical water heads well and the model can be used to predict the groundwater flow field evolution. Evolution of groundwater flow field in the next 15 years was predicted under different pumping condition.

LT codes can approach the Shannon capacity for channels with erasures, such as MBMS, data storage, Internet and so on. Receiver can recover all information data with efficient code symbols without repeatedly retransmission. In the paper, we discuss the degree distribution of code symbols and information symbols, and proposed a modified construction approach with identical degree distribution of information symbols. Simulation results show that the proposed approach has a lower probability of decoding failure.

Path loss for radio-wave propagation is transfor-med into distance according to theoretic or empirical model based on range measurement of RSSI (Received Signal Strength Indicator). But the RSSI is affected greatly by external factors, so it brings about distance errors while ranging. Error correction coefficient, distance differential coefficient is defined based on analytical model of RSSI. The measured distances are corrected through the closest beacon node to localization-needed nodes as their reference node, using the method of RSSI. A distance-corrected weighted localization algorithm is combined corrected range-distance and weighted centroid localization algorithm. Simulation results show that the new algorithm can reduce the ranging error, compared with un-corrected weighted centroid localization algorithm, the position precision has significantly improvement.

Water bloom has appeared at the middle or lower reaches of Han River several times since 1990s, which is a great threat to the domestic water, industrial water, and agricultural water along the river. By using molecular methods, the dominant species of water bloom in Han River have been found to belong among Stephanodiscus. And on this basis, we make comprehensive analysis to the environmental factors that influence the growth of water bloom in Han River. It is shown that temperature, the level of nitrogen and phosphorus are the main factors, with phosphorus having the greatest impact on the growth rate of diatoms in water bloom. Therefore, the effective control of the discharge of phosphorus can prevent the water bloom in Han River.

This paper applied multiple endmember spectral mixture analysis (MESMA) to interpret Landsat satellite imageries and then analyzed the spatiotemporal dynamics of agricultural landscapes within Hangzhou metropolitan region. Between 1994 and 2003, this region has witnessed accelerated urbanization based on four indicators: total population, percentage of non-agriculture population, GDP per capita, and area of impervious surface. Meanwhile, conversion, fragmentation, irregularity and isolation of agricultural landscapes were also captured according to four class-level metrics: total area, patch density, area-weighted mean shape index, and Euclidean nearest neighbor distance. Statistics showed that increased impervious area was significantly correlated with declined area and configuration of agricultural landscapes. Growth in GDP per capita was also correlated with increased irregularity of agricultural landscapes. Changes of total population and percentage of non-agriculture population were weakly associated with all the agricultural landscape metrics, denoting that the two indicators did not have direct influences on agricultural landscape patterns. Further, distance to the nearest road was also a good indicator of how the cultivated land was lost and transformed. Our results demonstrated complexities of relationships between urbanization and agricultural landscapes, and highlighted the importance of selected variables, spatiotemporal scales and land-use classification when quantifying these relationships.

Hainan International Island strategy is a good opportunity for the development of regional economy and tourism in Hainan, Hainan province has already framed the planning outline, which will be carried out soon. The international island construction not only requests the hardware internationalization, but also requests the management internationalization. The tourism information system development based on Geographic Information System has already become the management pattern in the international tourism developed countries, therefore, Hainan province must keep up with the pace of development and establish the tourism information system of Hainan international island based on the Geographic Information System as soon as possible, in order to provide complete information service for the government departments, tourism enterprises, tourists and to provide the scientific accordance for the future development of Hainan tourism. Firstly, this paper briefly introduces the geography information system and Hainan international tourism island, then describes the application of Geographic Information System in the construction of Hainan international island in detail, on this basis, it designs the overall structure and function of tourism information system of Hainan international tourism island.

This paper presents a quantitative analysis model for indeterminate topological relations between uncertain spatial regions. This model use Grey set to represent uncertain spatial regions, which have a pair of membership function instead a single one to describe the indeterminacy distribution. Using the cut-set operation on the Grey set, uncertain spatial regions can be turned into crisp region pairs. By applying relative qualitative topological analysis model such as the Egg/Yolk model on these crisp region pairs, the indeterminacy of topological relations can be quantified to a probability range.

An improved implementation scheme for AVS entropy decoding based on FPGA is proposed in this paper. The additional control circuit is used to get rid of the code streams parsed every cycle without adding any parsing periods. And it makes the barrel shifter prepositive so as to balance the time sequence path in the front end. In this way, the deficiency in the traditional structure of variable length decoding is conquered. Compared with the traditional structure, the proposed scheme achieves 43.2 percent time sequence improvement at the cost of 2.5 percent LE and the real-time high-definition (4:2:2) video decoding sequence can be implemented on Cyclone II EP2C35F672C6.

Vehicle control and dispatching model based on MAS is designed and introduced in this paper. The model aims at the dynamic changes of customer requirements, vehicles’ diversification and open routes in dynamic vehicle routing problem. The model changes the traditional central management pattern to distributed management pattern. Each vehicle and each customer is considered as agent, system is optimized through collaboration among agents. We examine efficiency of MAS and heuristic algorithm, result show that MAS model is better than heuristic algorithm.

Supported by remote sensing and GIS technology, using Multi-temporal TM images from 1984a to 2008a in Beijing, the dynamic evolution characteristics of wetland were analyzed and driving factors were explored. The result shows: the total wetland area increased during the period from 1984a to 1996a, the wetland area in 1996a had the maximum value, totally 605. 67km

2

. while it obviously declined at the annual average rate 6.7% from 1996a to 2004a, the wetland area in 2004a was just 285.27 km

2

, which accounting for 47.1% of the wetland area in 1996a. Wetland had taken the dominant shrinking trend and its ecological function had degenerated gradually. The total wetland area had appreciably increased after 2006a, reaching to 318.39km

2

in 2008a. It was classified to natural wetland and artificial wetland, natural wetland means river wetland and artificial wetland included reservoir wetland, pond and paddy field wetland, artificial canal wetland and city lake wetland. The proportion of artificial wetland area was lager than natural wetland, which played the ascendant function, accounting for about 70.95 to 86.01 percents in area. Wetland area increased from 1984a to 1996a mainly because of adequate precipitation; while the total wetland area declined from 1996a to 2004a for both natural elements and artificial reasons. Natural reasons included continuous dry climate, higher transpiration and decrease of water inflow from upriver. With the urbanization process acceleration, the population increased 1.52 times between 1984a and 2008a, which further lead to the wetland area loss and water resource consumptions. The total area of wetland in 2006a and 2008a increased appreciably as a result of the implement of positive policy and precipitation’s increase.

At present, China is in the most prominent time of the social transition. At the same time, population and vehicles are increased rapidly in the urban. Social interaction and large-scale events are also happened frequently in cities. All this are making the problem of urbanization increasingly serious. In order to solve the problem caused by urbanization, city modeling has been rapid developed in recent years. This paper presents a Google map based platform for city modeling and simulation. The platform aims to ease the problem caused by urbanization. It is feasible and cost-effective to develop applications base on this platform. This paper also introduces an application based on Google map API for flex, which implements some functions, such as adding, deleting, modifying points and lines on map, and the property of markers can be dynamically formulated. And all the added data is stored in the local database. On the basis of this platform, city modelers may reduce their burden and concentrate on modeling methods.

This paper presents an algorithm for the segmentation of building planar surfaces from airborne laser data. Planar surface structure analysis is fundamental to almost any application involving LiDAR data, especially building model reconstruction. The proposed algorithm estimates feature vector of each laser foot print in a neighbourhood, and cluster the planar surface using a robust unsupervised cluster method—adaptive mean shift (AMS). This algorithm is general as it aims at extracting palanr surface segments that exhibit an homogeneous behavior with restriction to one specific pattern, it doesn’t need any priori knowledge about planar numbers and their parameters. The algorithm adopts a more complex feature space definition for this purpose, which offers a very general and flexible way to identify homogeneous patterns in the data. Efficiency of the algorithm is proved by experiments.

A wavelength band selection method for target detection is proposed in the paper, which is based on the fundamentals of radiative transfer in atmosphere. The method aims at improving target detection performance according to wavelength band selection in considering the target radiance, the background radiance, the atmospheric transmittance, and the response of the receiving system. The typical spectral data of the target-background contrast and the transmittance were computed by MODTRAN, with the midlatitude summer atmospheric model in the daytime, clouds free, urban aerosols models, spring-summer aerosol profiles and background stratospheric profiles extinction models. The analysis of the wavelength band was performed to the typical spectral data, thus the optimal detection wavelength band was selected.

k Nearest-Neighbor(kNN) algorithm over sensor network has been extensively studied so far. In order to solve the hotspot problem and prolong the lifetime of wireless sensor networks, the paper proposes a “hotspot cooling” technique in which data of sensor nodes that have little energy can be automatically sent to other sensor nodes in an optimal approach. Extensive experiments indicate that this algorithm can reduce energy consumption of sensor nodes with low power, and efficiently extend the lifetime of wireless sensor networks.

It is important to calculate these areas prone for future landsiding through landslide susceptibility maps. A landslide causative factor database both before and after datasets was constructed. Data are stored in a resolution of 30×30m and include digital orthophoto maps (DOM), digital elevation model (DEM) and derived topographical parameters (e.g. altitude, slope, aspect, profile curvature, plan curvature), geology, land use, average annual rainfall, peak ground acceleration and further different environmental layers including road network and rivers. The 1334 post WenChuan earthquake landslide inventory is build up by field investigation and by interpretation of remote-sensing imagery (SPOT 5 and ALOS) and by monoscopic manual interpretation. The quality of susceptibility mapping was validated by splitting the study area into a training and validation set. The prediction capability analysis showed that the landslide susceptibility map has the potential to be used for land planning in this region as well as for precautionary emergency planning by local authorities.

Zhalong wetland natural reserve is one of the most important breeding areas for Red-crown crane around the world. With the assistance of GIS, the landscape map was generated by utilized two Landsat TM images (2006) that covering the study area. Besides, the elevation data was collected. Then, the nest habitat suitability of this rare and endangered species in this reserve was modeled and evaluated based on ecological niche factor analysis methodology. The results showed that Red-crown cranes prefer to choose the low elevation zones with relatively low slops to build nests. They tend to select areas with South and Southeast aspects as their nest habitat. Reed swamp is the most important habitat for them during the breeding season and it seems that they never build nests on other landscapes in this area. Human disturbances play important roles in affecting the quality of the nest habitats, making them more separated and fragmentized. Because artificial landscapes usually have intensive disturbances, Red-crown crane tend to avoid areas that within or close to artificial landscape. Among the eco-geographical variables that describe the degree of human disturbance, the frequencies of the dry land (M

f

=-0.314) is the major factor that treating the nest habitat, while distance to man-made pool and reservoir (M

d

=-0.107) plays the minimal role, mainly because they provide food sources during the breeding season. The total area of the suitable, less suitable nest habitats are calculated as 357.18km2 and 160.3km2 respectively, with 65.31% and 74.5% of which protected by the core area of the reserve. Suffering from the disturbances from human activities, 52.26% of the core area are not suitable to build nest. Besides, 27.51% (98.27km

2

) of suitable habitats located in the buffer zone, the other 7.18% (25.64km

2

) in the experimental area and tourism area, where the protection measures are less powerful, making these habitats more vulnerable by human activities. For all the considerations above, comprehensive measures should be taken to alleviate the negative affects made by human, and the nest habitat quality for this endangered species should be maintained or improved.

In this paper, Landsat ETM+ image of Huainan city in Anhui were classified with a decision tree, which was established based on the analysis of the spectrum characteristics, the texture characteristics and other auxiliary information, such as NDVI, NDBI and topography characteristics. Then the author compared decision tree classification technology with maximum likelihood classification method. The result indicated that the accuracy of decision tree classification was 4.06% higher than that of the maximum likelihood classification and Kappa coefficient was increased by 5.61%. These show that decision tree classification technology is flexible and can improve the classification accuracy efficiently.

This study develops and applies a distributed urban runoff pollution model to the north Moshui lake area of Wuhan for evaluating its non-point source pollution. Based on the research of the urban land utilization and land surface features using GIS, the characteristics of runoff flow, solid suspend (SS) and chemical oxygen demand (COD) on the inlets have been analyzed according the model, the initial pollution loads and the total pollution loads are computed in this study. The results show that the peak of pollutant concentrations are lagged with the peak of rainfall; and the pollutants in initial rainwater are the key part of all pollutants, which often account for 90% proportion.

The Sanhaowu river, as the only one landscape water in the main campus of Tongji university, has a significant influence on the whole ecological environment of this area. The correlation between water quality parameters and hyper-spectral reflectance was studied with models established for each parameter and applied in the Sanhaowu River. The R2 values of the model equations for dissolved oxygen (DO) and Chemical Oxygen Demand (COD) were 0.9379 and 0.6770, respectively, showing strong positive relationships. The models then were applied to retrieve water quality based on hyper-spectrum curve. Some results are satisfying but other may not reach the expecting results. More researches are needed to motify the models.

This paper dealed with methods for acquiring the type maps, suitable for evaluating the level and spatial distribution of Yunnan populantion development. The applied methods are that using the human development index(HDI) to rank Yunnan’s 129 county-level divisions and divide out them into four level groups: High level, Upper-medium level, Under-medium level, and Low level groups by level of “human development”, and then using the thematic mapping function and the relief degree of land surface(RDLS) technology of ArcGIS to respectively generate the 3D distribution maps of the HDI and its three basic dimension indices. The maps show that the overall level of Yunnan population development is relatively low, the HDI and its dimension indices are not distributed in balance, and many low level counties are widespreading in the mountainous areas. The reference values of evaluation results for optimizing distribution of Yunan population space and constructing national ecological defence are discussed.

with the unceasing enhancement of the complexity of application system software, system performance declines become more and more often. In order to ease the problem of software aging and reduce the losses of software collapses, this paper proposes a software aging regeneration strategy which is based on components. This strategy thins the regeneration size, and makes the research deep into the components level. The experimental result shows the running time of software system and the rate of users’ passes increase effectively. The usability and effectiveness of this regeneration strategy based on components have been proved. This paper provides support for fine granularity of the research in this field.

3D mesh simplification and other processing usually introduce some visual perceptual degradations and distortions. Evaluating them is a critical issue. Some geometric metrics without the consideration of human visual perception and perceptual metrics based on subjective test have been proposed. It is urgent to develop an objective evaluation metric with the consideration of human visual perception. We use the mean perceptual structural degradation (MPSD) metric based on mesh saliency and information theory to evaluate the visual degradation. Experimental results show that the MPSD can evaluate the visual perceptual structural degradation effectively and provide the functionality of multi-scale evaluation for visual perceptual degradation.

Compared with the traditional remote sensing, multi-angle observation could get the detailed three-dimensional structural information of forest through different directional observations, which provides a new method for quantitative remote sensing. In this paper the look-up table was constructed according with the different kinds of remote sensing model. The mixed pixel model was used as TM/ETM+ data was used, and the appropriate physical model was used according to the different forest sense as CHRIS datawais used. Base on the model the look-up tables were constructed, and the leaf area index was retrieved from the different kinds of data making use of interpolation. Comparing the LAI with MODIS 15A2 LAI, the result showes that the multi-angle remote sensing can improve the precision of retrieval of conifer LAI, and there is a certain theoretical research and practical application value.

In recent years, there have been many natural disasters and catastrophic disasters occurred in China, which has caused great losses of lives and assets, geographic information systems techniques are playing more and more important roles in earthquake disaster mitigation. The main goal of this paper is the rapid response to the earthquake relief, based on the concepts of geographic information services techniques, using the unified two-dimensional and three-dimensional geographic information service platform, which integrates information display, query, comparison and analysis, we mainly study and discuss the technical approaches and methods based on service oriented on integration of the earthquake disaster information and thematic information with the geospatial information, and the statistical analysis, achieves the management of the earthquake monitoring information, visualization, and statistical analysis. It can provide a scientific and effective method to the deployment, implementation and disaster assessment for the earthquake relief.

Pull-in parameters analysis, such as pull-in voltage and pull-in displacement, of contact type electrostatically actuated MEMS switches is investigated. Using Euler-Bernoulli beam theory, a cantilever beam model is established. Based on the method of Galerkin decomposition, the model is changed to a discrete modal equations, including nonlinear electrostatic force. Based on the equilibrium stability analysis, pull-in voltage and pull-in displacement are discussed. The simulation results can be used as design tools and rules to improve switch performance.

This paper proposed a practical and small-scale model for developing Location-Based Services (LBS) applications, which based on J2EE and SQL Server. The focuses were the Data tier deisgn of the architecture for small-scale LBS applications, including the spatial database design on top of SQL Server, storage mechanisms and the implementation of an improved GSQL parser The figures displays the realization of SQL Server based spatial database storage. Overall, concludes with some practical value proposition and wide application prospects of this small-scale LBS application model.

BACKGROUD: Population is a key question of socio-economic development. Researching the question and solving of population development directly relates to the regional population, resources, environment, economic, social coordination and sustainable development. To study and solve the program, the State Council decided to launch the functional area of population development project. Socio-economic development level is a very important indicator to the project. OBJECTVIES: (1) Building the socio-economic evaluation index based on resource utilization. We use the material accumulation index (MAI) as the evaluation index in the paper. (2) Classing the Yunnan MAI based on 2006 statistics data by using GIS technology. (3) Evaluating the spatial distribution of Yunnan socio-economic by MAI. METHODS: Establishing the index system is the evaluation core. The paper create evaluation index based on infrastructure, accessibility and economic density, analyze their spatial distribution by GIS. The last, graphically displaying the socio-economic development level of Yunnan by using the method of mathematical statistics and the technology of GIS. RESULTS?The socio-economic level of Yunnan is overall low in addition to a part of region in Yunnan central.