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

Stock market manipulation (SMM) is a small issue in developed market, for it only occurred on the over-the-counter (OTC) or regional market, while it is a much larger issue for emerging market, such as those in Turkey, Pakistan and China. Developing financial market is a very important part for developing countries. And SMM can hinder the development of the stock market by reducing market efficiency and making abnormal profit for manipulators. So it is significant to further deepen our understanding of how SMM occurs and relationship among related entities during the process, and then find some valid measures to avoid it. In this study, ontologies for the SMM in financial market are proposed. Three categories of ontologies, which include static ontology, dynamic ontology, and social ontology, are developed to deal with different perspectives in this domain. Finally, the case of Zhong Ke Manipulation (ZKM) is offered to demonstrate how the proposed ontologies are used in financial institutions.

Multi-sensor data fusion technology is one of the main techniques of the modern C3I system, on the C3I system performance to play a decisive role. In this paper, using Visual C++ and MATLAB language to jointly design and construct universal visualization multi-sensor data fusion simulation platform, which to provide researchers with a variety of fusion algorithm simulation and quantitative assessment of the simulation environment, as well as carrying out teaching and scientific research to provide support.

Three-dimensional node localization is still a crucial and challenging problem in Wireless Sensor Networks (WSNs). In this paper, a range free three dimensional optimum space step distance localization scheme (3D-OSSDL) is proposed by analyzing classic two dimensional DV-Hop propagation algorithm. In 3D network model, all nodes are randomly deployed in space and forms arbitrary network parameters. By optimizing distances from the network model, the optimum space step distance from nodes to anchors is obtained and the coordinates of all unknown nodes are derived finally. The proposed 3D-OSSDL achieves higher accuracy than classic DV-Hop propagation algorithm by 20%-30% typically and decreases communication overhead of the network. The simulation results proved our theoretical analysis.

e-commerce is becoming more and more popular and interactive, Merchants selling products on the Web 2.0 often ask their customers to review the products which they have purchased. The number of reviews can be in hundreds or even thousands for a popular product. This makes it difficult for a potential customer to read them or to make an informed decision on whether to purchase the product. It also makes it difficult for the manufacturer of the product to keep track of customer opinions. In this research, we aim to mine and to analyze all the customer reviews of a product. The algorithm proposed in this research is more reliable on opinion justice because it is unsupervised and the accuracy of the result improves as the number of reviews increases. Our research is performed in three steps: (1) mining the aspects and opinions of a product that have been commented on by customers; (2) identifying opinion words in each review and deciding whether each opinion word is positive, negative or neutral; (3) summarizing the results. This paper proposes several novel techniques to perform these tasks. Our experimental results using reviews of a number of products sold online demonstrate the effectiveness of the techniques.

One of the main barriers to making use of the wealth of available geospatial data is that researchers are unable to rapidly find relevant web services and efficiently retrieve desired geospatial data from different online sources. This paper focus on the development of the geospatial web services discovery and data retrieval system by leveraging the power of semantic web technologies. The most significant features of the approaches used in this work are reflected in two aspects. On one hand, this system combinational uses ontology and Universal Description, Discovery and Integration (UDDI)to reconcile semantic heterogeneity and associate semantic information with the web services discovery and data retrieval process. On the other hand, this system provides an interactive web environment which enables user to one-stop search, download and visualize different types of geospatial data in a single interface. Two investigations involving in searching relevant geospatial data on the Lake Tahoe Basin located at USA were made to verify the feasibility and validity of this system.

This paper develops a model of multi-objective optimization of supply chain supernetwork with electronic commerce, which includes suppliers, manufactures, retailers and consumers. The objective of this paper is to formulate and optimize the equilibrium state of network by using the theory of game and variational inequality. Finally, the numerical example is given to show that the theory is feasible.

Contourlet transform has better performance in directional information representation than wavelet transform and has been studied by many researchers in retrieval systems and has been shown that it is superior to wavelet ones at retrieval rate. In order to improve the retrieval rate further, a dual-tree complex contourlet transform based texture image retrieval system was proposed in this paper. In the system, the dual tree contourlet transform was used to transform each image into contourlet domain and implemented multiscale decomposition, sub-bands energy and standard deviations in contourlet domain are cascaded to form feature vectors, and the similarity metric used here is Canberra distance. Experimental results show that dual tree contourlet transform based image retrieval system is superior to those of the original contourlet transform, non-subsampled contourlet transform, semi-subsampled contourlet transform, contourlet-2.3 and contourlet-1.3 under the same system structure with almost same length of feature vectors, retrieval time and memory needed; and contourlet decomposition structure parameter can make significant effects on retrieval rates, especially scale number.

In this paper, we build a air path model which based on Matlab/simulink. Hybrid Electric Vehicle (HEV) is a new type of automobile which incorporates the advantages of both the conventional combustion engine vehicle and the Electric Vehicle .The air path of HEV is very important for the exhaust, if the exhaust emissions of hybrid vehicle are not well resolved,it is meaningless. We established a transient model, the model is able to run, which simulates the data is very accurate. As part of the Hybrid vehicles model, it has a high scientific value.

In this paper, we present an easy-to-use system for creating the Object VR Movie (OVRM). The proposed system automatically captures multi-view images and removes the background. The characteristics are (1) the capture method is suit for more different shapes of object, (2) the capture procedure is quick, (3) the interface of the software is friendly, and (4) the system is low cost. In the capturing device, we used the multiple web cameras instead of the high-end camera. We also designed a curved arm that holds the web cameras and rotates with the object. Furthermore, we developed a software for controlling the device and removing the background from the captured images. The comparison of the results of the newly designed system and the popular system currently in use show that, the new system is advantageous on the price competitiveness, capturing speed, and the intelligence of the software.

This paper mainly discusses the application of Qt in liquid level detection. The paper designed the GUI (Graphical User Interface) based on Linux Qt. The GUI designed can detect and control the liqud level remotely of a chemical plant, which is also applied in other control fields.

The prediction of chaotic time series based on the phase space reconstruction was studied in this paper. Considering the exponent divergence of the trajectories of chaotic attractors, the nearest neighbours prediction model was improved with instant Lyapunov exponent, and the evaluation index which was applied to characterize the accuracy of prediction was given. Then, the influence of chaotic attractor structure on the prediction was investigated. Results show that when the phase space reconstruction parameters are chosen improperly, the attractor is deformed clearly, and the prediction errors increase obviously. Furthermore, the prediction is affected more seriously by the delay time than embedding dimension, but the calculation complexity is increased with higher embedding parameter.

In this paper, two construction plans of target tracking system are introduced at first; one is based on computer + PCI capturing card+ARM7 and the other is based on FPGA+DSP+ARM7. The target detection and centroid capturing algorithm is applied to both of target tracking systems and the experiment results are compared. The results indicate that both of target tracking systems can realize target tracking and have different advantages.

Nuclear power system is a nonlinear system, Nuclear power plant emergency diesel generators of non-linear mathematical models are simulated to analyze the system’s transition process.which accurately reflect the relationships and interaction between speed and voltage, reflect the coupling nature of the Nuclear power system’s Variable, with the models, Dynamic characteristic curves while sudden static load and induction motors are presented. Computer simulation results show that the proposed model is reasonable and feasible.

Supply chain management has been a subject of both theoretical and empirical studies in the operations management literature. A major cause of supply chain deficiencies is the bullwhip effect. As a peculiar phenomenon in supply chain management, it has become a concern to both scholars and managers. Among the many ways to taming the bullwhip effect, information sharing is considered to be one of the most effective one. After briefly reviewing current research in information sharing, this paper introduces a model of information sharing and derives a threshold value. Based on the reality, the conditions for the threshold value are reconstructed. The result shows that the application of the two models contributes to effective measuring and controlling of information sharing, which is of theoretical value to the relieving of the bullwhip effect.

MCNP is a general-purpose Monte Carlo N-Particle code that is widely used in many fields such as radiation protection, dosimetry, radiation shielding, radiography, medical physics, nuclear criticality safety, etc. It can treat an arbitrary three-dimensional configuration of materials in geometric cells. However, it is difficult and time-consuming to visualize and verify the MCNP input file. In order to conveniently check and analyze the MCNP input file, with the development of computer technology, on the basis of mature geometry engine, OOP (Object-Oriented Programming) technique, FDS Team implemented interactive visualization system converting geometry description of MCNP input file into 3D CAD models, which can facilitate to check and analyze the input file. Furthermore, the CAD models generating from the input file can be imported into other commercial CAD software for editing, updating and reusing, it reduces the time of modeling. Now, the interactive visualization system has been integrated into MCAM, as one of its functions, being applied to nuclear analysis.

So far the steganography based on streaming media is widely studied,but rarely of it is based on instant communication tools. This paper improved the previous steganography which was implemented by HOOK based on instant communication tool. The improved methods contain adaptive sockets functions hooking(ASFH) and speech recognition based on socket functions,which can be generally applied in the instant communication tools,at last we implemented these methods in the covert channels of Bol SipPhone and Gtalk. Experimental results presents that the methods are actually feasible in the communication process. Which broaden the scope of steganography based on the streaming media and have a good realistic significance.

The management architecture and business model of the enterprise groups are different from which of the individual enterprises in many perspectives. It is of important significance to study the features of enterprise groups and design a suitable architecture for the Group-oriented ERP (GRP) systems. In this paper, we presented the GRP architecture based on the services and realized the business processes of the enterprise groups by using SaaS technology. The services were deployed on the group- headquarter side and the subsidiaries and related organizations could access the services by calling standard web services. To solve the problem of data interoperability, we advanced the ontology of information exchange for GRP to support the data exchange among the distributed and heterogeneous business data sources. Based on the above, we realized the group-level operation management and analysis functionality. At last, an integrated GRP platform was implemented and its detail functions were discussed.

This paper presents new tools dedicated to matrix settings in terms of trajectories, multiple delay laws settings which have been recently gathered in the simulation platform software, allow computing delay laws, beam propagation, flaw scattering, as well as imaging tools. Those different features are available for simple or more sophisticated patterns. Those skills are illustrated with experimental and simulated configurations for complex inspection cases.

This paper describes Reconfigurable Routing and Switching Platform Management System by Unified Modeling Language model, and then gives the transformation description for the conversion from an UML model with fork and joint nodes in UML Activity diagrams into a Queuing Network model. We can simplify the Queuing Network model by analyzing the system, from which we can get performance parameters of the model in the software design phases by solving the simplified model. Finally, we implement and test the actual system to validate the algorithm and model. The result proves that our algorithm and model are right.

This paper discusses relevant law and technology problems and current status of computer crime forensics, points out the issues we are facing in this field and presents the further research direction from view of law and technology.

In order to adjust to the severe working environment, electromagnetic induction sensor with a simple structure and low cost is designed for the navigation system of the spraying robot. The signal generator is made up of the sine wave vibrator and the power amplifier. The electric current of frequency 2 KHz, which is produced by the generator, is galvanized to the cable buried in the running route of the robot. Then the induction electromotive force can be detected by the induction loop on the robot. After an amplification conditioning process, the signal voltage difference values of a pair of the electromagnetic induction sensors can be used to determine the running route. It is demarcated through experiments that the nonlinearity is 0.1 of the output voltage difference ΔU at the departure distance e ranging between ±100mm. Running experiments on the complete appliance of robot indicate that the control system runs stably and reliably, meeting the functional requirements of spraying robot. These instructions give you the basic guidelines for preparing papers for WCICA/IEEE conference proceedings.

In order to realize accuracy control, D-H (Denavit-Hartenberg) method is adopted to make a kinematics analysis on the 4 DOF articulated eggplant-picking robot. The mechanical structure of eggplant picking robot with four degrees of freedom is designed in accordance with operation requirements of the picking robot. The robot kinematics model is established with D-H method and the forward kinematics solution for the robot is obtained. The inverse kinematics solution is solved by using the simplified inverse transformation method according to the operation features of the robot. It is shown by tests that the error of the forward kinematics solution is ±1.5mm while the error of the inverse kinematics solution is ±1.31°. The structural design of the 4 DOF picking robot that is designed and developed is reasonable, the kinematics analysis result based on the D-H method is correct, and the robot can meet the requirements for eggplant picking under greenhouse cultivation environment.

The treatment and analysis of longitudinal data may be encountered in many research areas. In longitudinal data analysis, often encountered with a situation of time-varying covariances. It is difficult to deal with the longitudinal data with time-varying covariances by using a traditional variance analysis method. In this paper, we explore methodologically that how the linear mixed effects model can be applied to analyze such data. We have also designed the SAS programs for the linear mixed effects model fitting.

The relevant theoretical derivation about piezoresistive silicon micro pressure sensor is carried out in this paper. The theoretical derivation provides important scientific basis for the choice of the sensor chip and the placement of resistors position. Then, the finite element method analysis software ANSYS is adopted here to analyze mechanics characteristics of sensor. Finally, the thickness parameter of sensor chip is studied by comparison method.

To solve the incremental updating of association rule, this paper proposes an effective and simple updating algorithm based on list. This paper analyses this algorithm and compares with the Apriori algorithm and the FUP algorithm. This algorithm makes full use of the previous mining information and the efficiency of the insert and delete of the list. The algorithm scans the original and the updated database only once and achieves new association rules. This paper proved that the mining time and the result integrity of this algorithm are better than the traditional association rules by experiment.

The micro-pressure sensor is an important branch from micro-electro mechanical systems (MEMS). A series of electrical properties and mechanics performance have been studied in this paper. The research work gives an important basis for sensor design. The power supply circuit is discussed in detail. We find that constant current source power supply can reduce the influence by temperature. Then, reasonable selection of piezoresistive characteristic coefficient is studied. We analyze the mechanical sensitivity coefficient and its compensation technology. At last, we study the sensor performance influenced by ratio of length and width (L/W) and find that the square chip is the best choice for micro-pressure sensor.

The design uses the SOPC technology to identify the direction and location of the mouse, in order to achieve the simultaneous move of the baffle which is reflected on the LCD screen and the mouse and to make the Pinball Game go well. The design applies the SOPC techniques and PS / 2 interface protocol and sets up the PS / 2 hardware system on their own, the design builds the corresponding IP cores through Nois Π and achieves the recognition and positioning of the mouse through software program, what’s more, the design puts forward a good program for the odd angel. All of these are in the purpose of making the baffle more accuracy and the game functions more interesting and sound.

In order to promote the transformation of scientific and technological achievements, this paper analyzed the current status of achievements transformation and classified the each subjects according to the functions and main effects in the transformation of scientific and technological achievements at first. Then some game matrixes were established including suppliers and demanders, government and research institutions, government and enterprises. It also analyzed comprehensive and systematically the game behaviors between each subjects. The information platform of scientific and technological achievements was built at last. This study will have an important significance for promoting the transformation of scientific and technological achievements and even the whole economic development.

Construction of IT is regarded as the only way for the development of logistics enterprises. For small and medium-sized logistics enterprises——the majority of logistics, their construction of IT plays an important role in the future development of the industry. Based on the analyses on the characteristics of China’s small and medium-sized logistics enterprises, the article puts forward the methods of the construction of IT of small and medium-sized enterprises.

In order to improve the operation performance of AC drive system, a combined control strategy for matrix converter fed induction motor drive system is proposed, which implements both space vector modulation of matrix converter and direct field oriented control of induction motor. Using this combined control strategy, it is possible to combine the advantages of matrix converter and the advantages of vector control technique and realize high performance control of induction motor. Applied with Matlab/Simulink, the simulation of the matrix converter with such strategy is carried out and the results of simulation are presented. Inductive load simulation is carried out on this matrix converter prototype. The simulation results verify the workability of the vector control strategy for matrix converter and the control performance of AC drive system is improved.

In this paper, the Matrix converter can be viewed as AC-DC-AC converter, the asymmetric regular sampling method SPWM control technique is applied in the control of matrix converter, the asymmetric regular sampling method SPWM control strategy of matrix converter is presented. Based on Matlab/simulink the simulation of the matrix converter with such strategy is carried out. Inductive load simulation is carried out on the matrix converter prototype. The simulation results verify the workability of the asymmetric regular sampling method SPWM strategy for matrix converter.

This paper has elaborated the new features and advantages—convenience, fastness and high-efficiency of product design in the age of internet of things, and demonstrated this point of view from aspects of the design space, design research, design presentation and market validation. Mean while, according to the results of product sampling, it has conducted the model analysis of product design based on BP Neural Network.

Redundant invariants increase processing time and memory consumption, which make serious effect on the application of invariants. The elimination of invariant redundancy is an important part in the invariant study. Now most methods of invariant redundancy elimination are based on optimization of invariants detecting tool which lack the principles analyse and system solutions of redundant invariants themselves. This paper first analyses the theory about classification and forming reasons of redundant invariant and then discusses the judgement of three kinds of invariant redundancy: equivalent redundancy, transitivity redundancy and implicating redundancy. Finally, the paper proposes the algorithms of eliminating invariant redundancy. The study has great value to the application of invariants which can significantly improves the efficiency by saving the time and space in processing.

This paper describes an improved strong tracking filter(ISTF). In this improved algorithm, it ensures the symmetry of forecast error covariance. In addition, an equation of the time-varying fading factor is derived from the orthogonality principle conditions of strong tracking filter. Through iteration, the calculation of time-varying fading factor away from the dependence on prior knowledge. A simulation under the two-dimensional space model system of moving objects is presented. Simulation indicates that the improved algorithm has better tracking ability and numerical stability!

In order to prevent coal mine gas disaster, a new methane anomaly detection method based on Grey Autoregressive algorithm (GMAR) was presented in this paper. A study of the trend of methane concentration real-time change is made. Once the predicted methane concentration value is deduced by the grey prediction model, an AR model can be established to discover the methane concentration change. So the residual ratio of the former reference methane concentration sequence and its predicted value is set up as the decision function to find whether there is danger information or not. Experiments show that this method can obviously reflect the anomaly characteristics of methane concentration data sequence.

This article describes a library for heterogeneous parallel system, the users can effectively program with the library which encapsulate heterogeneous environment. At the same time, the library could makes full use of processor features and the characteristics of the heterogeneous environment, so that the performance of heterogeneous parallel system get the greatest degree of optimization. Finally, through basic test cases and specific calculation, we test the basic functions and computing communications group of the library.

Ultrasound is one of the most often used methods for breast cancer detection because it’s harmless and low cost. However, tumor segmentation is very difficult in ultrasound images due to their specular nature and low quality of ultrasound images. In this paper, we employ a novel method for breast ultrasound (BUS) image segmentation using fuzzy logic. An US image is transformed into fuzzy domain by using s-function and maximum fuzzy entropy principle, and enhanced by fuzzy intensifying function. An iterative method is used to find threshold, then US image is converted to binary image on which a segmentation method is applied to get the final tumor boundary. The experiments show that our approach can process low quality ultrasound image very well.

This paper deals with chaos anticontrol. Based on chaotic reference model, the online adaptive parameter adjustment has been set up. The nonchaotic dynamical system gets chaotic after parameter adjustment and runs independently the operating of the reference model. The numerical simulation shows the validity and feasibility of the presented method. The proposed approach is quiet convenient and efficient.

The process of flash driver development for VxWorks as well as the analysis of TrueFFS component is depicted in detail. Then, based on TrueFFS, the file system that stores data flexibly is built in the flash and applied to embedded web server that plays an important role in managing embedded devices remotely. In addition, the system meets the desired design requirement.

By utilizing the data of five nautical charts of the South Branch of Changjiang estuary from 1900 to 2001, an underwater Digital Elevation Model of the South Branch of Changjiang estuary for a century is established, on the basis of the model, calculation and analysis were carried on about the evolution characteristics. The results showed that: (1) From 1900 to 2001, the South Branch Channel showed micro erosion , the scour and silting conditions were different in different periods. (2) The scour and silting evolution of the South Branch Channel is mainly in the form of the scour and silting changes of five channels and five shaping sand bodies, the maximum depth of every channel and the total area and total volume of the shaping sand bodies were all in an increasing trend. (3) The main cross sections of the South Branch Channel were mostly the compound channels, the main channel was in the South, and the maximum depth was increasing continuously. The changes in the cross sections which were located at the entrance and exit of the South Branch Channel are rapid than those changes in the middle cross sections. (4) The evolution of the South Branch Channel is the result of the interaction of the natural evolution and artificial control.

China is the world’s largest toy exporter, mainly exporting to the U.S., EU, Hong Kong and Japan. However, because of the impact of the global financial crisis and a considerable decline in consumption in Europe and America and other developed countries, toys as a typical non-necessity of life have been influenced greatly. As a result, foreign orders continued to decline. In addition, the European Union has adopted new instruction for the toy safety to push up production costs, which affected the China’s toy exports, and resulted in the profits from exporting plush toys having fallen sharply. The situation is very difficult. To solve the problem lies in breaking the bottleneck, developing independent products, improving the core competitiveness of the Chinese toy industry and speeding up industrial upgrading and transformation.

Aiming at the problems existing in the current study on cloud service purchase decision, especially the evaluation index system is inadequate, as well as the quantification of qualitative indexes is often neglected. To make a more rational evaluation of cloud service, firstly, this paper proposes a complete cloud service evaluation index system; Secondly, it solves the sort-order problem of evaluation indexes priorities with analytic hierarchy process (AHP); At last, the quantitative models of qualitative indexes are also developed, which makes the purchase decision of cloud service become more scientific and convincing.

A new architecture,agent-based coordinated- control framework was proposed. This architecture provided security communication between agent and subsystems,the security message delivery protocol among subsystems, the uniform encryption and authentication policy and intelligent cooperative mechanism support at low layer. At the same time because of flexible definition of system control message,the architecture is extensibility.

Many economists in their economic theoretical Literature believe that the reason that leads to asymmetric information and prices cannot fully respond economic information lies in the bounded rationality of agent or the transaction costs of information; they have not conducted the research from the perspective of information supply. From this perspective, this paper thinks that information supplies insufficient create the above phenomenon, but the information supplies insufficiency in the financial markets is exogenous.

In the medicine industry, slack work behavior is widespread for the sales staff in the development and management of the follow-up market. This phenomenon is a management problem which has plagued China’s pharmaceutical enterprises for a long time. In this paper, establishing data analysis model based on the “principal - agent” theory, starting from the characteristics of the pharmaceutical market, we analyzed the causes and ways to curb the slack work behavior of the sales staff in the medicine industry. These conclusions have practical significance on the sales management for medicine industry.

Supply chain performance measurement is the key part of supply chain management. Its systematic and profound research is helpful to develop supply chain management and its application. Based on SCOR analysis and the definition of the contents of supply chain performance measurement, the design principle and characteristic of supply chain performance measurement index system can be summarized and supply chain performance measurement index system based on the overall performance of supply chain. Along with fuzzy comprehensive measurement method, the specific quantitative method and process of these indexes can be defined so as to improve performance measurement system systematically and practically. At last, the paper puts forward how to further study it.

Based on the demand of real-time control and digital coal preparation, a pure new MATLAB-based image recognition system was developed to compute the coal particle density distribution through the digital image processing method, 13 of 29 image feature parameters was selected to be most representative image characteristic parameters through the analysis of statistics and graphs. Take the above parameters as the input of RBF neural network, the density level of coal particles could be estimated, combined with the cross-sectional area of coal particles and the ash content of each density level, the washability curve could be drawed. Experement show, the absolute error of the total ash is 0.545%, which meets the China standards of coal preparation(GB/T477-1998); the related coefficients of each indicator in both actual and predicted float-and-sink material are all close to 1, while the curves of

λ

,

β

,

θ

and

δ

are very similar and the deviation of

ξ

curve is relatively large.

The management problem of geospatial information becomes the hotspot because of the high-speed development of geospatial information related industry. This paper looking at the problem from the angle as distributed Geocomputing, and studies on the distributed management and publishing mechanisms of massive geospatial information. There the collaboration mechanism of distributed nodes and the database-based storage and management strategy of massive geospatial information are proposed. The system performance and data access efficiency could be enhanced through collaborating between distributed nodes. Moreover, the complexity and heterogeneities between different data could be shielded by spatial database engine technology, which provides a uniform interface for data access on database. A prototype system has been implemented. Tests show that this system has favorable performance on data access, which could be a reliable data support for the upper geospatial information applications.

Knowledge becomes a decisive factor in economic development. This paper is based on knowledge as the general merchandise to transfer. Then, we study the process of knowledge transfer by using the principal-agent theory, and build the model of knowledge transfer. According to the analysis of the model, knowledge-sharing cost, knowledge-sharing environment, the infrastructure of information technology, the learning capacity, and cultural factors are considered to be the factors that affect the knowledge sharing and knowledge transfer among enterprises in supply chain.

The effect of unsteady wake on cascade blade was studied with numerical simulation. The influence of wake on flow field and heat transfer around blade is analyzed by increasing the axial spacing between the vane and blade. The conclusions are as follows: The smaller the distance of stator and rotor is, the more uneven the circumferential distribution is. When the axial spacing increases, the wake of vane which spread to rotor decays gradually and the influences of wake on blade also decrease. Because of the impact of wake, the heat transfer of blade leading edge is very strong. When wake mixes with the mainstream gradually, the heat transfer coefficient of blade surface also decreases gradually. With the augment of axial space, the heat transfer coefficient of blade leading edge is reduced gradually, but the influence on suction surface and pressure surface is small.

According to analyzing existing problems of methods of determining boiler optimal operation parameter value, we propose a method of BP neural network combined with thermodynamic calculation determining boiler optimal operation parameter value. We use BP neural network model to predict optimal parameter value of unburned carbon content in fly ash in the process of calculation. At the same time, different furnace exit gas temperature formula should be taken when the boiler is at different unit load. The optimal value of excess air level is got by using the principle of “climbing”. Finally, an example is used to verify that the method is feasible.

Film cooling efficiency of rotating turbine blades with compound angle holes has been investigated by numerical simulation. Calculations of moving blades under different rotational speed. The effect of rotational speed, blowing rate and incidence angle of the cooling air jet at leading edge on film cooling have been analyzed. Calculation results show that rotation blade film cooling jet skew to blade tip. Cooling effect on the both pressure and surface surface to drop the quicker the rotation, the lower the cooling effect.

The flow field of 1.2MW wind turbine rotating wind wheel by SST

k

–

ω

was simulated. Power output and turbulent kinetic energy were compared with single blade’s. The interacting between rotating blades is also analyzed. Computational results showed that the attaches vortex shedding from upper rotating blades was occurred during the operation, which lead to the change of lower blades environments, which has great influence on total moment and power output. It is very necessary for improving efficiency and reaching optimal operating condition to consider the interacting between blades during optimization design.

In this paper, a study was carried out on the circulating fluidized bed (CFB) flue gas desulfurization system of a power plant. A problem of the desulfurization system has arisen during text run that SO

2

removal efficiency is too low. In this study, the effect of SO

2

concentration and outlet temperature on desulfurization efficiency was carried out on a text stand. The results showed that the desulfurization efficiency decreased as outlet temperature increased. The desulfurization efficiency increased 20 percents when the outlet temperature decreased from 84°C to 75°C. In the outlet temperature of 75°C, the desulfurization efficiency was the highest. In the condition of other parameters remaining unchanged, the removal efficiency first increased and then decreased with the SO

2

concentration increased. Under the text conditions, the highest desulfurization efficiency turned up at the inlet SO

2

concentration of 1700mg/m

3

to 1900mg/m

3

. The exit temperature has been adjusted according to the results. The operational results showed that decreased the outlet temperature to 75 °C led the desulfurization efficiency rising to 88%.

Under the influence of the wind loads, the prestress of guy in the guyed door type transmission tower has a great impact on the mechanical properties of its structure. In order to study this effect, The paper establishes the appropriate nonlinear finite element model of the guy-door- type transmission tower through the use of structural analysis software, analysis the mechanical properties of the tower structure under different initial stress on the condition of the most negative angle of attack, obtain the rule that the changes of initial stress of guy has an influence on the support reaction of guyed transmission tower, the maximum displacement of tower nodes and the bar axial stress, providing the available value for the design and constriction of tower structure, and ensuring transmission tower structure self-reliance, stability and well run.

The fluid-structure coupling equations of fluid-structure interaction were deduced based on the Arbitrary Lagrangian-Eulerian description. The Navier-Stokes equations and the equation of the motion of the structure are discreted and iteratived.In this paper, the vibration characteristics of transmission tower-wind is Analysed, the results showed that the use of this method for solving nonlinear vibration problem arrival.

Ice-shedding will cause the violent oscillation of the lines, and makes the conductors jumping up and down. The jumping of the conductors reduces the phase-to-phase clearance, even leads to interphase flashover and structural destructivition. Aiming at the difficulties in measuring the vibration problem caused by ice-shedding of conductors, A sensing meathod on binocular vision theory is presented. The restriction between conductors in 3D space and image in camera are used to get the measurement model, which is based on binocular vision theory. The measurement mathematical model of conductor is soluted by standard length binocular visual system calibration meathod, then, the 3D information of conductor is recoveried. In the measurement experiment, the binocular vision measurement system is established. The experiment results indicate that the measuring system is both simple in structure and convenied for the vibration measurement of ice-shedding conductor.

With energy and environmental problems have become increasingly prominent, wind power generation, as a clean, renewable energy, is taken seriously. Wind speed forecasting is very important to wind power plants and power systems. Chaos theory and methods are used to discuss the wind speed prediction problem in this paper. Firstly, the time delay and the embedding dimension are calculated by correlation integral approach for reconstructing phase space of wind speed time series. Then wind speed chaotic prediction model of optimal neighborhood is proposed which gives overall consideration to generalized degrees of freedom and the nearest neighbors’ weights. Furthermore, an improved criterion for selecting neighborhood is given which avoids the deficiency of fixed neighbors and without considering neighbors’ weight. The practical calculation shows that the proposed model has superior predictive capability under the appropriate model parameters. But wind speed chaotic prediction is still in the initial stage of exploration, there are many points needed by further discussion.

The characteristics of turbulent flow, heat transfer and fouling in convergent-divergent tube with two types were investigated by experiments. The flow resistance coefficient, enhancement ratio (Ka/Kp) and fouling resistance were tested under the identical conditions, and the comparative experiments were carried out between convergent-divergent tubes and their corresponding plain tube. The experimental results showed that the two convergent-divergent tubes do well in heat transfer ability and exergy coefficient, but they have more loss of pressure drop; on the other hand, compared with the corresponding plain tube, the two convergent-divergent tubes have advantages in anti-fouling performance, since the convergent-divergent tube I and II have smaller fouling thermal resistance asymptotic values than the corresponding plain tube.

In this paper, we study the following the horizontal linear complementarity problem:

M

,

N

 ∈ 

R

n

×

n

,

q

 ∈ 

R

n

,find

x

 ≥ 0, such that

y

 ≥ 0,

My

 = 

Nx

 + 

q

,

x

T

y

 = 0. We construct a combined homotopy equation, prove the existence and the convergence of the homotopy path, which is from any interior point to the solution of the problem. Numerical example shows that this method is feasible and effective.

In this paper, we study the following Linear Complementarity problem:

f

:

R

n

→

R

n

, find

x

 ≥ 0 , such that

f

(

x

) ≥ 0,

x

T

f

(

x

) = 0 . We use Poineare-Bohn’s homotopy invariance theorem of degree to derive an alternative theorem. Based on this result, we propose an exceptional family and a sufficiently condition is established to assure the existence and boundedness of solution curve.

An improved tangential arc shooting approach is proposed on the basis of the analysis of the tangential arc algorithm, which then is expected to enhance the rate of soccer robot shooting and shooting efficiency as well. In this design, according to the position calculation of the soccer robot, golf ball and midpoint between the ball and robot, together with the expected shooting angle, the optimal double circular planning path is achieved, which leads to realize the effective control of the robot to reach the shooting target With the simulation under the MATLAB and FIRA 11VS11 Platform being carried out, the performance of which is lower probability of illegality, and catching and stealing, the rate of soccer robot shooting and shooting efficiency are proved to be enhanced as expected.

The dynamic and static experiment with the water treating device of the frequency conversion electromagnetic field taken “The online monitor system on the scale-inhibition effect of water treatment technology” as the platform, the experiment on the surface tension, conductivity and pH values of Calcium carbonate solution are also adopted, the scale inhibition effect of alternating electromagnetic field was verified. The experiment showed that the alternating electromagnetic field can change the solubility of calcium carbonate. And when electromagnetic frequency is at 1kHz, the scale inhibition effect was well performed.

In order to solve the prematurity and lower convergence speed in traditional genetic algorithm for robotic path planning, an improved genetic algorithm designed for robotic path planning is proposed. In this algorithm, grids are used to divide the workspace of a robot, with the serial number being adopted to identify the grids. In addition, the genetic operators which correspond to the coding scheme are introduced, and a novel fast random search method based upon probability is proposed to initialize the population in the question. Moreover, differing from the standard GA, a new delete operator is superadded, and elitist strategy is carried out, all these result in the path planning for mobile robots. The simulation results demonstrate that the proposed approach leads to converge at the global optimal value with high rapid, which presents the adaptive performance for the changes of the working environments.

A new defense strategy of the goalkeeper in robot soccer based on best position is proposed. In this work, field division system is perfected, and then a prediction model of the ball is established, which makes the prediction much precise and reliable, what is more, some advanced defense actions are also designed, and the influences of attack of the goalkeeper are investigated.

The concept of collapsible loess foundation and the distinguished method about type of collapsible loess foundation are illustrated. The form reasons of collapsible loess foundation are analyzed in this paper, some methods about using dynamic compaction to deal with the collapsible loess foundation are presented. Put forward the question pay attention to during strengthening of collapsible loess foundation with method of dynamic compaction

A robust sliding mode control is proposed for a class of nonlinear uncertain systems based on backstepping. The terminal sliding mode manifold and control methodology are designed to guarantee the error variables of the error dynamics to reach the sliding mode manifold in finite time. Then the error variables of the error dynamics can convergence on equation point using backstepping in finite time. The system state can be estimated quickly. The convergence rate between the observer and the system can be changed by choosing suitable sliding mode manifold, so as to attain the desired performances. Simulation results are presented to validate the design.

With fuel economy and emissions performance for the main control goal, a power distribution control strategy is proposed based on fuzzy logic and simulated the control strategies in several road cycles. The results show that the fuzzy logic control strategy to be reasonable distribution of engine and motor torque, the engine can work in middle load area with higher efficiency and lower emissions, better vehicle fuel economy, lower emissions.

Based on the basic principle of water-heat transferring in aquifer, this paper establishes a three-dimensional couple numerical model of groundwater flow, heat transferring and solute movement in advantage of the significant variation of groundwater density and viscosity coefficient in energy storage and recovery in brackish aquifer. The revised numerical model is applied to predict the evolution process of the groundwater flow and geo-temperature fields in one brackish aquifer energy storage and recovery system in Tianjin Binhai New Area for the next five years. The results show that: the Darcy velocity of fluid increases when groundwater temperature grows in heat storage season in summer and decreases with the descent of groundwater temperature in cold storage season in winter, which brings some influences on the geo-temperature field in brackish aquifers. At the end of the cold storage season in the 5th year, heat transfixion occurs when the water temperature of 3

rd

pumping well increases for 0.5°C. In conclusion, as the coefficient of hydraulic conductivity having a same change with the geo-temperature and concentration in brackish aquifers when the hydrogeology condition of brackish aquifer remains the same. the coefficient of hydraulic conductivity will increase or decrease for 35% when the groundwater temperature has a 10°C increase or decrease compared to the initial one.

To complete the refrigeration cycle experiments in multiple function environment laboratory by controlling non-condensable gas in content which existed in the air-cooled air condition system consisting of mainly R410A. During the experiment, we collected evaporation pressure, condensing pressure, evaporating temperature and condensing temperature fluctuations and other waving signals, meanwhile we captured sections of the mobile image using high speed photography. The results show that the presence of non-condensable gas increases the system pressure and temperature at varying degrees. This affects the refrigerant vapor condensation heat transfer, increases heat resistance and lower heat transfer coefficient. Therefore, it will finally affect the cooling.

According to the non-stationary characteristics of differential pressure fluctuation signals, a flow regime identification method based on wavelet packet energy feature and probabilistic neural network (PNN) is put forward in this paper. Firstly, original differential pressure fluctuation signals are decomposed into a finite number of different frequency band signals, and then the concept of wavelet packet energy entropy is proposed. The analysis results from wavelet packet energy entropy of different differential pressure fluctuation signals show that the energy of differential pressure fluctuation signals will change in different frequency bands when bearing flow regimes. Therefore, to identify flow regimes, energy feature extracted from a number of frequency band signals that contained the most dominant flow regime information could served as input probabilistic neural network. The analysis results form air-water two-phase flow in horizontal pipe four flow regimes show that the identify approach of PNN based on wavelet packet transform extracting the energy of different frequency bands as features can identify flow regimes accurately and effectively.

Two schemes recovering associated energy (sintering waste heat and redundant gases) from ironmaking process, which consisted of sintering waste heat subsystem and redundant gas fired combined cycle subsystem by means of integration, were proposed. Based on the theory of energy, exergy and energy level balances, the thermodynamic performances of the two schemes in the paper were analyzed. Meanwhile, a user-defined parameter called thermodynamic performance factor was also introduced. Results show that under the same conditions of initial parameters, energy and exergy efficiencies of the system in scheme 2 increase by 0.67% and 0.27%, respectively, than that of the system in scheme 1, and energy difference keeps invariant. The thermodynamic performance factor of the system shown in scheme 2 is 0.5199, which increases by 3.05% than that of the system in scheme 1. By comparison, it is suggested to take the scheme 2, in which the disadvantage that fuel could not be cascade utilized in afterburning heat recovery steam generator was spurned, as the applied scheme. The system and the method presented above can offer beneficial references for recovery and utilization of waste heat in highly energy-consuming trades, such as steel, coal, and so on.

This article establishes the index system of carbon emissions warning, gives the model algorithm and get the indicating lamp of carbon emission warn. It also verify the scientific and feasibility of this index system from theory and practice. This index system’s establishment will provide the basis for monitoring the carbon emission and assist the policymakers when they make policies.

Through the analysis and prediction of the atmospheric environment in China, in atmospheric pollution as the main research object of environmental pollution, application system dynamics research methods, according to the economic resource and environment of the structure of composite system figure to draw the environment, resource, population and gross domestic product (GDP) causality diagram, establish on atmospheric environment, economy, energy system dynamics simulation model, This model can reflect exhaust emissions, resource exploitation and air pollution and the relationship between GDP, have certain universality and expansion.

As a new type of international cooperation mechanism, Clean Development Mechanism (CDM) project faces many uncertainties. It is therefore especially important to establish a perfect risk management mechanism. Based on the status of garbage power generation CDM projects in China, this paper analyses the project risks on the development process from different views, makes an assessment on the various risk factors by using the AHP and fuzzy evaluation methods, and propose the corresponding risk-control strategies to prevent and solve various risks, ensure the healthy and sustainable development of garbage power generation CDM projects.

Wind power project in our country is developing rapidly, but the wind power project is opportunity and risk coexisting. If the project risk becomes a reality, it would cause huge economic losses. This thesis establish a risk evaluation index system after analysis the risk of wind power project, and then, assesses the risk of the project based on AHP combines with fuzzy comprehensive evaluation.

The design for the large scale wind power generator of 40MW, named as Linear Wind power Generator, LWG in short, was put forward. The vanes of LWG run along two of linear steel rails vertically from near the ground up to the high altitude, so that each part of the vanes can run in higher speed and produce mechanical power, the wind energy both near the ground and in high altitude can be utilized, and air kinetic energy will be converted to mechanical energy twice as the vanes run up and down; a special mechanical power transmission makes the mechanical power produced by the yawing wind force turbines transmitted into the inner of steel tower. About 12.3times more of output power can be produced by LWG than present wind power generator equipped with the vanes of same length as LWG.

In present work, azimuth-elevation track method was adopted to design an anti-wind bi-axis sun tracking closed-loop control system with opto-mechatronics integral technique. Whereby a circuit of optical/electrical signal detecting/processing was used to check the sunlight irradiance, the resulting signals were input to a single-chip micro-computer, of which was employed to control the mechanical movement of photovoltaic (PV) frames to follow the sun’s radiation. Also, electronic circuits and necessary software have been developed to perform the technical tasks. Array with several parallel PV frames instead of a whole one was constructed to enhance anti-wind effect in the operation of tracking system. Experimental result indicates that the daily output power of the PV arrays was increased by 1.4 times in comparison with that of the fixed ones.

At present, with the need of economic development, China’s power industry is committed to the study of compact and narrow basal transmission tower. This paper, establishes the ANSYS finite element mixed model with beam and truss of the new tower-type (500kV compact narrow beam transmission tower), uses subspace iteration method to obtain the first 20 modes of the model of 500kV compact narrow beam transmission tower and its free vibration period, and compares with the result which are commonly used by China’s power industry and the result from the first free vibration periods experience formula provided by “Architectural structure load regulating”. The preliminary conclusion was obtained that China’s power industry experience formula is still valid in CNBTT actual engineering design.

Conductor, which is in the condition of aeolian vibration for long period,will transfer vibration to the composite insulator,so composite insulator is frequently subjected to vibrational fatigue failure. This paper takes a 500kV transmission line for example, calculates the max dynamic bending stress of the wire clamp exit, and gets the vibrational load values, which are caused from conductor aeolian vibration, according to the conductor hanging angle. At the same time, aiming at ansysing fatigue of interface adhesive of fiberglass rod and sheath, this article builds composite insulator solid model basing on the ANSYS software, represents probability distribution of vibration frequency using Weibull distribution, and analyses fatigue coefficient of use up of bonding layer within the bounds of every frequency section, according to Miner linear fatigue damage accumulation rule. Finally we get the fatigue life of bonding layer.

Realizable

k

 − 

ε

turbulence model based on SIMPLEC algorithm was simulated though the discretization of the governing equation by means of the finite volume method. This model was performed to investigate the temperature field on pressure and suction surface and the film cooling effectiveness under normal conditions. All simulations of turbine blade cascade at the leading edge had fixed streamwise inclination angles of 30°and 90°, spanwise inclination angle of 45°, blowing rate of 0.5, 1.0 and 1.5, crossflow temperature of 473.15K. The results show that the same tendency of the cooling effectiveness curve is observable at different blowing rates for a nominal compound angle. On the suction surface, the cooling effectiveness

η

increases with improving blowing rate. The compound angle jet at the leading edge influenced strongly the cooling effectiveness. On the pressure surface,

η

increases with improving blowing rate at the compound angle of 30°, 45°. However,

η

decreases with improving the blowing rate at the compound angle of 90°, 45°.

Utilize the Radical Basis Function (RBF) network and Ordinary Least Square (OLS) to define the RBF function centers. The primary load is forecasted by the trained RBF networks, and then utilize the fuzzy expert systems to correct the primary load premeditating the possibility of load variation due to changes in temperature and the load style of holiday. Some of day types are differentiated with five types in this paper. Test results shows that the hybrid model can forecast load with a higher accuracy and a faster speed. Supporting a hybrid model for short-term load forecasting which integrates artificial neural networks (ANN) and fuzzy expert system.

Wind is one of the most promising sources of renewable energy; however, the region which the wind energy resource is rich is restricted. In this paper, we study the wind turbines arranged on the different level high. The results show when the wind turbines placed on different level high, the wake loss increases, though we can get more wind energy.

The aim of this study is to try to find out the wind energy technology status of Germany based on patent analysis. Patent data are provided by Derwent Innovations Index (DII) database of the ISI website during the period of time from 1963 to 2009. For the purpose of observing the patent trends, the major companies, the technology focus etc. in wind fields, multiple methods are used, including technology field classification, patent assignee authority control and various patent indicators. The results show that the development of wind energy technology of Germany is a fast increasing tendency. Enercon Group, Repower Systems, General Electric Company etc. are the main enterprises in wind energy technology field of Germany. The technology focuses of each field and sub-field are also discovered.

Solar energy is an important renewable energy. Germany is one of the major countries of realizing the use of solar energy earlier. The aim of this study is to try to find out the technology status of solar energy field in Germany based on bibliometric and patentmetric analysis. Our analysis is based on papers during the period of time from 1986 to 2009 recorded in the Science Citation Index (SCI) of the Institute for Scientific Information (ISI) website and patent data from 1963 to 2009 provided by Derwent Innovations Index (DII) of the ISI website. From the bibliometric analysis, the basic research status of solar energy technology of Germany is revealed. Also, from the patent analysis, the technology invention focus of sloar energy of Germany is shown up.

In order to solve the problem of electric power equipment positioning with fewer hardware resources, a positioning system combing GPS with MapInfo electronic map and wireless data transmission under the Windows operating system was introduced. The system centralizes computer-control, using wireless data transmission and a serial converter to realize intercommunicating between the computer and GPS receiver modules, and display real-time, current geographic location of electrical power equipment by using MapInfo electronic map on a computer. Experimental results show the positioning system combining GPS, MapInfo electronic map with wireless data transmission has stable performance, a low hardware cost, and high positioning accuracy, which can meet the requirements of the general power sector for electrical power equipment positioning.

A new method of determination total phosphorus in water based on nanoTiO2/C-K2S2O8 co-existed system photo-electrocatalytic oxidation graphite modified electrode has been described. TiO2/C electrode, which graphite surrounded by titanium dioxide, was prepared by sol-gel, dipping and coating process. The surface morphology of TiO2 coated on the graphite was characterized by scanning electron microscopy (SEM). The results indicate that the diameters of TiO2 particles rank from some nanometers to dozens. Meanwhile, TiO2/C was applied to decompose phosphine carboxylic acid copolymer (PCAC) by photo-electrocatalytic oxidation method. The optimum parameters determined by our experiments are as follows: the decomposition time is 10 min, the applied anode voltage is 8 V, the concentration of oxidant K2S2O8 is 0.02mol/L, alkaline solution has benefit to the decomposition of PCAC and the optimum pH is 8.5. This method is proved to be a better way to decompose organic phosphorous compared to national standard method by precision, recovery and comparison experiments.

In this paper, stability index method was used to determine the stability of power plant cycle cooling water. It solved the problem that exists in in most power plants. By comparing with other water quality stability methods, the result of static and dynamic experiments determined the feasibility of stability index method in monitoring the stability of power plant cooling water. This method avoids the using restrictions of other methods. So it has a more objective, reliable and real-time feature, which can predict the fouling or corrosion tendency of cycle water system quickly. Moreover, it is conducive to the stability, safety and economic running of equipment.

Nano-TiO2/PVDF membrane was studied as a catalyst using oxidization of nitrobenzene by ozonatione. The results show that the removal rate of nitrobenzene increased to 20% at the present of the catalyst. The ozone dosage, initial concentration of nitrobenzene, area of Nano-TiO2/PVDF membrane and pH value has been considered for optimized catalyst properties. An increases of the removal rate of nitrobenzene caused by increasing ozone dosage, initial concentration of nitrobenzene and Nano-TiO2/PVDF membrane area has been demonstrated, and our experiments suggest that the best pH value is 10. It was also observed that the catalytic effect of Nano-TiO2/PVDF membrane is also sensitive to tert-butyl alcohol, this result suggests a ·OH radical reaction mechanism.

The TiO2 entrapped PVDF membranes (TiO2/PVDF) were prepared by adding different amounts of TiO2 particles into the casting solution. The catalytic property of TiO2/PVDF membranes was investigated with removing high concentration of ammonia wastewater. Several factors of removal rate of ammonia were investigated, such as crystal of TiO2, ozone dosage, catalyst dosage, residence time, pH value and reaction temperature. The results showed that the rutile TiO2 has optimum removal effect for ammonia. Increasing the ozone dosage can increase the removal rate of ammonia either in ozonation alone or catalyzed ozonation. The removal rate of ammonia increased with the amount of TiO2/PVDF membrane dosage, while it has no significant change when the membrane dosage was above 1 g/L. The optimum pH value is about 9.1 The result indicated that 20°C was an optimum temperature.

It has been the first time for a research to introduce the automatic temperature electric heating technology instead of the traditional method of water heating to heat the heat exchange tube, with stainless steel pipe monitoring the fouling resistance on-line. The result shows that this monitoring system can truly reflect the condition of heat exchanger online scaling changes, which can satisfy the needs of on-line test. Compared with the traditional water heating method, the automatic temperature electric heating technology doesn’t have such problems like daily water-replenishing, leakage and equipment overheat. Under the condition of ensuring a safe operation and the long-term stability, it can greatly reduce the amount of daily routine attention, strengthen the assurance factor and lower the cost of production and maintain.

Microporous honeycomb polymer films were prepared by self-organization under humid conditions. After peeling off the surface of polystyrene (PS) honeycomb, a super-hydrophobic pincushion structure was obtained. A surface copy technique was used to transfer the honeycomb and pincushion structure to PDMS. The results reveal that the super-hydrophobic structure was also transferred to PDMS surface.

Intermediate vector polysuccinimide (PSI) was prepared by polymerization of maleic acid and ammonia at 180°C in this article. Hydrophilic polyaspartic acid (PASP) derivative was prepared from amino-sulfonic and PSI; Lipophilic PASP derivative was prepared from PSI and diisopropylamine. Their scale inhibition rates of calcium carbonate were evaluated by static scale experiments. The inhibition rate of calcium carbonate was 90.2% when n(amino-sulfonic): n(PSI) =1:14 and the dosage of pharmaceutical was 12mg /L. The inhibition rate of calcium carbonate was 87.6% when n(diisopropylamine):n(PSI)=1:8 and the dosage of pharmaceutical was 15mg /L. The calcium carbonate that collected from static state experiments was analysised by scanning electron microscope (SEM). The results showed that polyaspartic acid derivatives were synthesized which had the best overall performance when n (amino-sulfonic): n (PSI) = 1:14.

Solvent evaporation self-assembly was a method that using small drops of water as a template to prepare photonics thin films. Drops of water can form ordered arrays on the surface of the cold polymer solution, polymer materials formation of the ordered porous film according to the morphology of water droplets after solvent evaporation, Core technology of this approach was prepared of amphiphilic copolymer structure to stabilize tiny water droplets and formation of orderly homogeneous porous membrane structure. This research through synthesized the N-dodecyl acrylamide and acrylic acid copolymer (PNDA) then prepared polystyrene ordered porous membranes as a stabilizer. Through comparing confirmed that this amphiphilic copolymer was an effective material to promote molecular self-assembly to form photonic films.

Polystyrene regular porous films with two layers were prepared by solvent evaporation method. Two layers of film were separated by force and the up-layer was stick on the polythene film. Pd microdisk patterns from regular porous template were prepared by ions sputtering. Pd was changed to Ag in silver-ammonia solution. Uniform microdisks were formed by polythene dissolving in chloroform.

In accordance with the large area cartridge igniter of the heating boiler, through the analysis of the vapor sample in the running, and the analysis of the scale components and the metallography of the model test sample of cartridge igniter, the causes of the boiler cartridge igniter from chemistry and the metallography study of the material are discussed, and put forward the effective processing methods.

This paper presents the mathematical model of the pv array and analyzes the structure of a three-phase grid-connected PV generation system (GCPS). In order to get better waveforms of grid current, a fuzzy self-tuning PI controller is introduced into the GCPS, and it can tune the PI controller parameters automatically according to changes of system parameters. In order to realize the maximum power transmission with unit power factor of the GCPS, the maximum power point track (MPPT) control and the control on active power and reactive respectively with fuzzy PI controller are also used. Finally a pv array model and a MPPT model are developed, and the proposed GCPS is simulated in PSCAD/EMTDC. The simulation results show that the fuzzy self-tuning PI controller for the GCPS is effective.

In view of the non-stationary characteristics of acoustic emission signal of tool wear, and the slow convergence rate of learning algorithm and easily dropping into the local minimum value for BP neural networks, a novel method of tool wear state identification based on singular value decomposition and least squares support vector machine was proposed. Firstly, the empirical mode decomposition method was used to decompose the collected acoustic emission signals into a number of intrinsic mode function which was used to construct the initial feature vector matrix. Then by applying the singular value decomposition method to the initial feature vector matrix, the singular values were obtained. Finally, the singular spectrum was selected to constitute the feature vector. The feature vector was divided into two groups, one group was used to train the least squares support vector machine and the other was used to identify the tool wear state. The identification result proves that this method is superior to BP neural network, and it has a higher identification rate. It is proved that this method is efficient and feasible.

Since the chemical pesticide is harmful to the environment, this paper presents a clean and nuisanceless system for killing pests based on the phototaxis of insect, the technologies of photovoltaic generation and the LED light. The system contains the modules of the control of solar charge and discharge, the protection of overcharge and over discharge, the control of day and night, the control of rain and fog and the DC/DC booster. This paper also introduces the functions, the principles and the workflow of the system. The prototype is designed based on the study. The prototype test evinced that the system can work steadily and efficiently.