bluuebunny/crossref_metadata_2025 huggingface dataset:
Research on Biological Performance of Partially Oxidized Calcium Alginate Gel
Authors: Zhang Ping , Lu Ling Bin , Yang Hai Feng , Cao Yang
Published: December 2011

The degradable and well-distributed calcium alginates were obtained successfully by ionically cross-linking reaction which was the oxidized Sodium Alginate reflected with calcium ions. Their biological performances were investigated by testing swelling ratio, compression strength and degradation. The effects of oxidation degree and cross-linking density on the properties of calcium alginate were assessed. The results show the swelling ratios of samples were almost no effect whether modified or unmodified, furthermore modified calcium alginate had better degradation performance than unmodified.Lastly, oxidation may reduced the compression strength of samples,but increasing of ionically cross-linking density can enhance the mechanical strength.
The Design of Information Platform Structure Used in Expressway Management Based on SOA Frame
Authors: Xu Guang Yin , Zhang Yan Na , Qu Jian Hua
Published: December 2011

On the basis of the study on the expressway management business flow as well as the SOA architecture concept, this paper designs the overall framework for a systematical expressway management information platform, which includes network of 3 levels, grading processing, comprehensive monitoring, comprehensive information application management, web portal and security system, and then designs the overall technical frame of this platform. Road administration is the core part of highway administration and the concentrated reflection of external highway administrative management. In addition to the approval of highway property, construction, maintenance and management, its main contents also involve the highway maintenance, highway entrance fee management and other road maintenance. It covers a wide range and there is so much information of deferent types to be processed and used. Although domestic and foreign roads and road administration departments have some information management systems in use, some are special highway road administration information systems[1,2], and some are highway comprehensive information management systems[3], the integrated comprehensive highway information management contents are lack of research, and the professional, comprehensive, open road administration information platform has not been established yet. Therefore, the author conducted the design of constructing advanced road administration information platform structure. This platform uses the service oriented architecture (SOA), integrates advanced information network technology, data communications monitoring and transmission technology, electronic control technology, computer processing technique with 3S, PDA and other advanced technologies, so that it is effectively integrated and used in the highway information management. The construction of the platform will realize the effective and scientific management for highways business, ensuring that the highways are unblocked, and maintaining the road property and rights of highways, thus promoting the development of the industrial management information.
Research on Development Mode of Energy Management Contract in New Energy Field
Authors: Qin Wei Feng , Xu Guang Yin
Published: December 2011

At present, the development of new energy in China is in an early stage, with incomplete management modes. As a new mechanism of energy saving based on market mechanism, the Energy Management Contract (EMC) is an important basis for establishment of management methods of new energy in China. As is an initiative with respect to energy-saving concepts, the EMC is intended to address the biggest problem of current promotion of new energy in the application and utilization of new energy saving projects for customers, by undertaking all early inputs and most of risks related to project implementation.
A Robot-Assisted Surgery Positioning Method for Artificial Cervical Disc Replacement
Authors: Tian He Qiang , Wu Dong Mei , Du Zhi Jiang , Sun Li Ning
Published: December 2011

Robotic–assisted surgery is a new trend in medicine. To overcome problems in artificial cervical disc replacement surgery, a robot-assisted surgery system which consists of an active 6-UPS parallel robot and its control system, a surgical planning system and an optical tracking system was developed to replace the cumbersome mechanical positioning device. A positioning method for robot-assisted cervical disc replacement surgery will be studied. Firstly, the robot-assisted surgery system is described. Secondly, the coordinate transformation method for robot-assisted surgery positioning is given. Then, a preoperative position and pose planning method is given. Finally, a robot-assisted surgery positioning by using the method in this paper is carried out. The result shows that the robot-assisted surgery positioning method in this paper is an effective method for artificial cervical disc replacement surgery.
Optimization of Spiral Drum Based on Improved Ant Colony Algorithm
Authors: Wang Duan Yi
Published: December 2011

Spiral drum as the work device of sheer, plays an important role for working performance and economic benefit .By analyzing the working principle of ant colony algorithm and its deficiencies; it proposed an improved ant colony algorithm to realize the optimization of spiral drum. In the paper, optimization model is established with coal-loading capacity as the objective function, and it make use of Matlab software to realize optimization of spiral drum.
Study of High Precision Frequency Measurement Method of Power System Based on DSP
Authors: Gao Cui Yun , Liu Ming , Li Wen Jing , Han Ru
Published: December 2011

In the power systems, frequency is an important parameter for harmonic analysis. This paper proposes a modified high precision zero-crossing detection method. The high frequency noise will affect the power system’s frequency measurement, FIR processing is used for the power signal. Simulation shows that after effective De-noising or when the signal-to-noise ratio (SNR) is higher, the method can reach the precision of 0.01Hz and meet the requirements of frequency measurement precision.
Research on Technology of Semantic Fusion in Geospatial Information Based on Ontology
Authors: Li Ke , Zhang Han Lin , Du Lin
Published: December 2011

Because of lacking detailed metadata information in the traditional geospatial data, it would lead to being short of part semantic information. Facing the demand of interoperability in growing application of geographic information service, Ontology technology is regarded as one of Effective approach to solve the question of data heterogeneous and interoperability. So in this paper, it would use some new theory and methods of ontology into geographic Information Services, which would solve the difficulties of the geographical spatial data integration. Facing the demand of interoperability in growing application of geographic information service, Ontology techology is widely noticed in the past few years, and is regarded as one of Effective approach to solve the question of data heterogeneous and interoperability. Using the mapping of concepts and attributes, ontology expresses practical geographic space in Semantic level, analyzing the structure and content of geographical spatial database and setting up corresponding domain ontology. At last , it use some logical operations to solve the question of data heterogeneous and interoperability. So in this paper, it would use some new theory and methods of ontology into geographic Information Services, which would solve the difficulties of the geographical spatial data integration.
ERP Project Implementing Personnel Case Study
Authors: Zhang Yue Sheng
Published: December 2011

With the enterprise informatization, the ERP system(Enterprise Resources Planning) application scope expands unceasingly, this not only to the implementation of ERP the number of people there is more demand, the more to the implementation of ERP talents of technology and comprehensive quality put forward the update higher requirements. How to train excellent ERP implementation consultant become the key of solving this problem. Based on ERP implementation of financial advisers as an example to discuss the ERP implementation process of training and training talents, put forward "content 3 x5 training law," that is a process of training financial advisers are divided into beginning, strengthen and perfect step three, each step comprehensive cultivation five abilities, the five kinds of the cultivation of ability is a gradual process.
Wireless Transfer Mode Based on the Environmental Detection System
Authors: Zheng Mei Ling
Published: December 2011

Environmental testing is increasingly valued by man, the system uses the related detect point to monitor the temperature of the environment and other related parameters, and mode of transmission through wireless transmission to the receiver, the receiver can measure the value of the LCD display unit can also Sent to the host through the serial correlation measurement parameter and related parameters stored by the host, the host interconnection can also be related to inform sharing, the system uses a cost-effective microcontrollers and wireless transmission systems, can achieve the transmission speed and transmission distance of Characteristics.
Research and Implementation of Management System of Laboratory
Authors: Gan Xiao Hong
Published: December 2011

This paper taking the system development of laboratory management of Jiangxi University of Finance and Economics,mainly emphasizes on development method,design,system structure,demand analysis, function structure and key technology.
Parameterized Model of Double-Roller Hourglass Worm Based on Pro/E Secondary Development Technology
Authors: Wang Jue Ling , Wang Kai
Published: December 2011

According to the spatial meshing theory, the relative coordinate systems of non-backlash double-roller enveloping hourglass worm is established, the helix line and tooth surface equation are deduced. According to worm helix line equation, generating model with Pro/E, parametric modeling by Pro/Toolkit which is the secondary development tool belongs to Pro/E, programming relevant software.
SOC Estimation on Radial Basis Function
Authors: Kong Hui Fang , Xiang Liang Jun , Xia Shun Li
Published: December 2011

Power lithium battery state of charge (SOC) is an important parameter for the measure of battery charge remaining, SOC estimation of Power lithium battery accurate or not, affect its performance and service life directly. thus, it is particularly important to improving the accuracy estimation of SOC further, combined characteristics of battery time-varying, SOC estimation method was proposed based on radial basis function neural network (RBF) in this paper, experiment results show that the RBF network algorithm can improve the estimation accuracy of SOC.
Research on Management Model of Chinese Family-Holding Business under Market Economy
Authors: Zhang Li
Published: December 2011

In China, the family business usually implement paternalistic management model at the startup. When the enterprise scale enlarged, along with the change of the outside environment, the risk and uncertainty of the enterprise management will be increased and the distortions of family management model will become increasingly clear. Therefore, it is an irresistible trend to carry out reforms on the family business governance model. This paper analyzed the current status of Chinese family management model, pointed out the opportunity under the market economy for family business accelerating its development, and summarized the four models of Chinese family business governance. Currently, under the market economy, the biggest problem faced by Chinese family business is not how to transform into modern enterprise, but how to realize their sustainable development. To build a modern enterprise system is just an important destination for family business development, but can’t be the only choose at the present stage. A precisely suitable enterprise system is established according to the time, place, different industry, scale, development stage and background, while there is no standard model of universal application.
Detection Method of Nature Gas Pipeline Leakage Based on Pattern Recognition
Authors: Wang Shuai , Yu Jian Jun , Yan Ming Qing , Xiao Shu Ying
Published: December 2011

Natural gas pipeline network is one of the most important city lifeline. Because of the complex process of pipeline operation, there has not an authoritative and reliable way to detect leakage. Taking into account the current continuous progress of pipeline network simulation and mature of gas SCADA system, the fault of natural gas pipeline network can be diagnosed by pattern recognition method. The method takes full advantage of the existing detection technology and the actual condition of the pipe network. It is very useful for pipeline safety management and maintenance.
Discussion on Community Colleges to Improve Residents’Subjective Quality of Life
Authors: Zhang Xiao Huan , Feng Dong Yan , Wang Di
Published: December 2011

Based on the development of community colleges in our country and its transfer education, career education, compensatory education, community education, quality education functions; analysing community colleges how to improve community residents’ subjective quality of life in education threshold,students fees,institutions ,three aspects; then in school model, institutes, teaching content and teacher team construction, exploring how to build community colleges for improving local residents’subjective quality of life.
Conception at the Core of Knowledge Creativity Based on E-Commerce in Networked Manufacturing Mode
Authors: Zhang Sheng Fu
Published: December 2011

This paper, at the core of Knowledge-based enterprise driven by order,led by value chain, analyzes typical industries and their trend. A Networked manufacture pattern facing to the supply chain and integrating ERP\CRM\SCM\CIMS information platform is constructed.Then it puts forward the conception on e-commerce which is based on creativity and in networked manufacturing mode.Thus it comes up with the viewpoint of Integrated Manufacturing, Business Collaborative Manufacturing, Collaborative Commerce informatization public platform,Individual Customer Portal.
A Noval Distributed Architecture for Expression Recognition
Authors: Zhang Zheng , Xu Chao
Published: December 2011

A distributed facial expression recognition approach based on MB-LGBP feature and decision fusion is presented in this paper to accomplish subject-independent facial expression recognition more efficiently. At first, the Multi-scale Block Local Gabor Binary Patterns (MB-LGBP) are extracted from expression regions to achieve both locally and globally informative features. Then a distributed architecture is proposed to accelerate the recognition process, in which features of each single region are utilized to perform expression classification in parallel. The final decision is made by an artificial neuron network (ANN) based data fusion of the confidence information got from the classification of each region. In experiment, we compare the runtime and recognition accuracy of our system with several other popular expression recognition paradigms. The results show that the distributed architecture can promote the efficiency of facial expression recognition prominently with comparative performance in recognition accuracy.
A Methodological Approach to Bus-Equipped Automotive ECU Test System Using Modeling and Parsing of Script Language
Authors: Wei Xing , Han Jiang Hong , Zhu Sai , Shi Yang Yang
Published: December 2011

In order to tackle the EOL (End of life) test problem of ECU equipped with communication bus, this paper designs an integrative system platform for electrical testing and brings out a scheme describing how to compile and implement the structured script language for test cases. Firstly, test objects are subdivided and classified. Then the test system and its workflow is put forward which comprising ECU under test, test-board, and tester. Test cases are regularly described by script language. Lastly, the paper gives an example that how to test one programmable port of multiple switch detection interface MC33972. Besides commonality and portability, the proposed design scheme could help to enhance the efficiency and reliability of the EOL test.
Study on Operation and Parameters of Urban Sewage Source Heat Pump System with Freezing Latent Heat Collection
Authors: Qian Jian Feng
Published: December 2011

Urban sewage is a renewable energy source in the fields of heating and air conditioning engineering, and urban sewage source heat pump system plays an important role on energy-saving and environmental protection. According to the differences of the sewage emission coefficient and heat load of the building, it is not able to satisfy the user heating demand only on the limited temperature difference sensible heat on many situations, especially for the sewage rate of flow in small trunk canals. Therefore, a new heat system named urban sewage source heat pump system with freezing latent heat collection is proposed, in which the freezing latent heat is used as the heating source of the heat pump system at peak heat load in winter as well as the temperature difference sensible heat. According to the status, the system form is brought out and the operation modes of this heat pump system are stated, then the characteristics of the design and operating parameters are discussed.
Medical Image Registration Based on Generalized Mutual Information and PSO-Simplex Search
Authors: Chen Chao , Zhang Guo Dong , Yang Rui , Huo Peng Fei
Published: December 2011

A medical image registration algorithm based on Renyi generalized mutual information entropy information function and particle swarm - simplex search strategy is proposed in order to overcome the problem of local extremum in the target search. After the simulation of medical image data, the results show that the algorithm can get rapid and accurate registration results.
Face Recognition Based on Improved LBP and LS-SVM
Authors: Sun Jin Guang , Li Yang , Yang Xin Nian , Wang Jun Tao
Published: December 2011

In order to extract characteristics of face by making full use of LBP and improve its "adaptive ability", we proposed an algorithm based on global and local fusion LBP. First, we will extract overall face feature histogram with LBP, then segment the image into blocks, extract each LBP histogram feature, then combine the global and local features according to certain order , and we regard it as the total character of image. Finally, we use the LS- SVM (least squares support vector machine) identifying and training samples of face image to improve the speed of recognition the experiment on ORL face database shows that the algorithm has high recognition rate and has improved recognition rate of the face.
Behavior Analysis of FxLMS Based on Deterministic Signal
Authors: Zhang Feng , Li Yi Nong , Wang Lei
Published: December 2011

In active vibration control, most of the signals to be eliminated are deterministic signals. Simulations are carried out using periodic sinusoidal reference signal based on FxLMS algorithm. Based on a deterministic reference signal input conditions, the paper provides a detailed behavior analysis due to the secondary-path model error and phase delay, the results will give theoretical basis by adjusting the FxLMS algorithm parameters to ensure convergence and to achieve the best control performance in practical applications.
Point Cloud Reconstruction Based on SVR
Authors: Sun Jin Guang , Wang Jun Tao , Yang Xin Nian , Li Yang
Published: December 2011

This paper presents a point cloud reconstruction algorithm which based on SVR(support vector regression) . Firstly, the point cloud data pre-processing, filter out noise points. Then train the point by SVR , and we can get the function of surface expression. Finally, using the Marching Cube algorithm to visualize the implicit function. Experimental results show that the algorithm is more robust and more efficient.
Network Reconfiguration for Distribution System with Distributed Generations
Authors: Liu Hong Jiang , Li Lin Chuan , Chen Xin
Published: December 2011

Recently more and more distributed generations(DG) are accessed in distribution system. So we analyze how DG influence the distribution system. In order to make the result of network reconfiguration more closely to the reality, we build a network configuration model for distribution system with DG which contains three load modes, and we bring forth a composite algorithm which contains improved binary particle swarm optimization based on loop circuit and genetic algorithm, and combine with the taboo algorithm to avoid circuitous search. This composite algorithm can not only increase the search speed, but also effectively overcome the precocity. The simulation results show that after the network reconfiguration, the network loss has been greatly reduced, and this verifies the effectiveness of this algorithm.
Effects of Electromagnetic Filling Parameters on Density of Al-Si Alloy in Low Pressure Casting
Authors: Wu Shao Long , Wang Yu Xing
Published: December 2011

Effects of electromagnetic filling parameters on Density of Al-Si alloy in low pressure casting were investigated. The key influential factors on Density of Al-Si Alloy were determined by orthogonal testing. The results show that the influential orders of electric current, magnetic inductivity and cyclic time on the density of the ZL114 alloy are as follows: electric current, then magnetic inductivity, and then cyclic time. Electric current and electromagnetic field can effectively improve the density of the ZL114 alloy in low pressure casting.
Study on Fluid-Structure Interaction Performance of Shuttle Check Valves Based on ADINA
Authors: Li He Jun , Cai Yong , Xiang Bei Ping , Cheng Gong Dong
Published: December 2011

To research the flow field characteristics in the shuttle check valve, this paper adopted numerical simulation and contrast method. Based on ADINA, it respectively implemented geometric modeling, parameter setting and fluid-structure interaction calculation on the shuttle valve and the swing check valve. By analyzing visualization results, it derives that the former has the advantages of uniform velocity distribution, steady flow state, equilibrium load on the valve core, etc. compared with the latter in the process of opening, thus providing data basis for optimal design of the shuttle valves.
A Practical Approach to FM2 Motion Planner
Authors: Ansuategui Ander , Susperregi Loreto , Lazkano Elena , Sierra Basilio
Published: December 2011

The capability to plan a trajectory from a start to a goal position is essential for a mobile robot in order to obtain autonomy in navigation. The FM2 motion planner is a Fast Marching based algorithm that obtains the shortest geometric path between the safe possible ones. The safety, smoothness and reliability of the obtained trajectories have previously been theoretically demonstrated and make this planner suitable for applying it in a real robot. This paper attempts to measure the capabilities of the FM2 planner beyond theoretical results. As a previous step to apply it in our real robots, the FM2 planner is integrated as a plug-in driver in the Player/Stage multirobot simulation tool and the algorithm is tested under different environments and robot platforms. The results presented in this paper show the power of the FM2 method and the adequateness of the approach.
Optimized Cost Model for k-NN Queries in R*-Trees over Random Distribution
Authors: Rao Sirisala Nageswara
Published: December 2011

Efficient storage and retrieval of multidimensional data in large volumes has become one of the key issues in the design and implementation of commercial and application software. The kind of queries posted on such data is also multifarious. Nearest neighbor queries are one such category and have more significance in GIS type of application. R-tree and its sequel are data partitioned hierarchical multidimensional indexing structures that help in this purpose. Today’s research has turned towards the development of powerful analytical method to predict the performance of such indexing structures such as for varies categories of queries such as range, nearest neighbor, join, etc .This paper focuses on performance of R*-tree for k nearest neighbor (kNN) queries. While general approaches are available in literature that works better for larger k over uniform data, few have explored the impact of small values of k. This paper proposes improved performance analysis model for kNN query for small k over random data. The results are tabulated and compared with existing models, the proposed model out performs the existing models in a significant way for small k
Research on Activity Quality Costing
Authors: Wang Xin Ping , Zhang Qi
Published: December 2011

Quality costing is an important part of quality cost management. How to adjust quality and cost scientifically is the focus of attention. Firstly from the perspective of the activity, this paper analyzes limitations of current quality cost accountings, and proposes the idea of quality costing under activity-based-costing. At the same time, this article constructs the theoretical model of activity quality costing, and designs mathematical calculation model specifically for the quality costing on the basis of original activity-based costing mathematical calculation model. Finally the author gives operation steps of activity quality costing.
Hybrid Intelligence Agents Architecture Design for Product Return Administration
Authors: Wang Chen Shu
Published: December 2011

Return is a critical but controversial issue. To deal with such a vague return problem, business must improve information transparency about end users’ return activities. This research proposed an agent-based architecture for return administration. The intelligent return administration expert system (iRAES) architecture consists of two KDD mechanisms and two intelligent agents that can predict the possibility of the end user will return the product (via return diagnosis agent, RDA) and provide return centre staff with recommendations for return administration (via return recommender agent, RRA). iRAES is implemented successfully and adopts hybrid artificial intelligent algorithms, including the following: data mining is employed to implement the RDA agent, and case-based reasoning is adopted to design the RRA agent. A demonstrated 3C-iShop scenario is presented to illustrate the feasibility and efficiency of iRAES architecture. As the experiment results show, iRAES can decrease the 70% effort for return administration evaluation and improve performance with return administration suggestions by 37%. Therefore, return administration and the knowledge management about product return can be accelerated via iRAES.
Empirical Research on the Non-Linear Inherent Relationship between China’s Social Security Expenditure and Private Consumption
Authors: Zhao Jian Guo , Li Jia
Published: December 2011

For the existing lack of empirical research of relationship between social security expenditure and private consumption, this paper verified the existence of nonlinear relationship between both in China from 1952 to 2009 by applying nonlinear STR model. The conclusions demonstrate that between both is obviously negative relationship, although it is similar to most of the existing conclusions, but different in manifestation, i.e. the negative relationship presents remarkable stage characteristics and is frequently converted between linear and nonlinear. This negative relationship can be specifically divided into three stages: 1. negative nonlinear relationship from the year 1958 to 1963; 2. insignificant relationship from the year 1964 to 1978; 3. the reconverted negative nonlinear relationship from the year 1979 to 2009.The maximum elasticity of social security expenditure in the second and third order lags on consumption level amount to -0.0898 and -0.1024 respectively, and the crowding out effect is higher. These conclusions provide a realistic theoretical basis for China to develop and implement policies of social security expenditure.
Design of First Adder/Subtractor Using Quantum-Dot Cellular Automata
Authors: Shahidinejad Ali , Selamat Ali
Published: December 2011

Quantum-dot cellular automata (QCA) is an emerging nanotechnology that provides faster speed, smaller size and lower power consumption compared to the current transistor-based technology. Adder/ subtractor is a useful component for the design of many computation systems and functional circuits. This paper proposes a practical XOR design in QCA. Then the first adder/subtractor circuit in QCA is designed and simulated using the proposed XOR design. Results of simulation were carried out using QCADesigner.
Research on Micro-Macro Process of Industrial Aggregation Based on Social Network Interaction Model
Authors: Wang Na , Li Dong , Wang Qi Wen , Lv Hong Shan
Published: December 2011

It is necessary to detect the aggregation dynamics and aggregation process of industry cluster for there are still some problems in the development of industrial cluster. The existing theories are less attention to the impacts of the social network of enterprises and their interactions on the industrial aggregation. We proposed a social network interaction model and research on the industrial aggregation process from the aspect of economic sociology. The impacts of signal effect, network effect and crowding effect on the dynamic micro-macro process of industrial aggregation are discussed and two possible phase transition and its causes in industrial aggregation process are explored. The simulation outcomes are good explanations for industrial aggregation process and made some useful implications for policy-making.
Using Patent Data to Explore Technology Trajectory and Trends of Shading Device
Authors: Huang Yu Ying , Juan Yi Kai , Perng Yeng Horng
Published: December 2011

Shading devices for buildings are able to resist thermal radiation and decrease air conditioning load, this study used shading devices for buildings as an example, and conducted a patent search in the United States Patent and Trademarks Office (USPTO). This study adopted bibliometric and social network analysis methods to portray the relation between citing and cited patents, to discover the patent main path, grasping the correlation between patent technologies and the overall industrial development. The purpose of this study was to construct patent citation networks, to trace the developmental context of key technologies and their diffusion. The results suggest that automated shading devices are the focus of current technological developments, contributing to rapid advancements and helping developers save time and costs.
The Impact of Nonlinear of Tire on Multi-Axle Vehicle Steering
Authors: Wang Huan , Gao Xiu Hua , Chen Jian Kai , Wang Chao
Published: December 2011

BP neural network model of tire and three degrees of freedom dynamic model of Multi-Axle vehicle were built. According to Zero side slip angle control theory, with the use of MATLAB software, comparative analysis of the step response of the vehicle side slip angle, yaw angle velocity and rolling angle in the driving vehicle with linear and nonlinear tires was done. The results show thatMulti-Axle vehicle with nonlinear tires has obvious affect between side slip angle and yaw angle velocity of the vehicle body. Relative to Multi-Axle vehicle with linear tires, the overshoot of step response increases greatly, and the Steady-State value does not equal to zero; but rolling angle of the vehicle with nonlinear tires has less affected.
Constrained Compound Markov Random Field Model with Graduated Penalty Function for Color Image Segmentation
Authors: Panda Sucheta , Nanda P.K.
Published: December 2011

In this paper, an unsupervised color image segmentation scheme has been proposed for preserving strong and weak edges as well. A Constrained Compound Markov Random Field (MRF) has been proposed as the a priori model for the color labels. We have used Ohta (I1, I2, I3) color model and a controlled correlation of the color space has been accomplished by the proposed compound MRF model. The Constrained Compound MRF (CCMRF) is found to possess the unifying property of modeling scenes as well as color textures. In unsupervised scheme, the associated model parameters and the image labels are estimated recursively. The model parameters are the Maximum Conditional Pseudo Likelihood (MCPL) estimates and the labels are the Maximum a Posteriori (MAP) estimates. The performance of the proposed scheme has been compared with that of Yu’s method and has been found to exhibit improved performance in the context of misclassification error.
Improving the Performance of a Continuous Stirred Tank Reactor Using Moving Horizon State Estimation and Model Predictive Control
Authors: Armoon Fazlollah , Jazayeri-Rad Hooshang
Published: December 2011

Since chemical reactors are utilized to produce specific and valuable products, concentration of products should be regulated at a specified level. As a disturbance input, a change in the inlet concentrations can vary the product concentration. So, in order to regulate the product concentration, the inlet concentrations and the product concentration should be measured. However, measurement of concentration encounters some problems such as high cost and time delay. For compensation of these failures, estimation of concentration has been proposed. In this work, the inlet concentration and the product concentration of a continuous stirred-tank reactor (CSTR) are estimated based on the moving horizon state estimation (MHSE), and the product concentration is regulated based on the model predictive control (MPC). Simulation results indicate that the proposed strategy improves the performance of the CSTR compared with the method in which the inlet concentration is not estimated.
Model Predictive Control Based on Real Time Particle Swarm Optimization (IPO)
Authors: Dolatkhah Somayeh , Menhaj Mohamad Bagher
Published: December 2011

A novel approach for the implementation of nonlinear model predictive control (NMPC) is proposed based on Individual particle optimizer (IPO1) while functional link neural network (FLNN) is introduced as a nonlinear model of the plant where individual particle optimization (IPO2) is applied for training of the neural network. The IPO algorithm is used as a real-time optimal tuning technique, which is applied to the neural network so that the proposed optimized FLNN can be used in nonlinear model predictive control scheme. Finally, the proposed NMPC applied to the Load frequency control (LFC) problem. Simulation results verify that the proposed IPO based technique possesses efficient performance in the sense of speed up and set point tracking.).
The State Space Average Model of Boost Switching Regulator Including All of the System Uncertainties
Authors: Modabbernia Mohammad Reza , Sahab Ali Reza , Mirzaee Mohammad Taghy , Ghorbany Kazem
Published: December 2011

In this paper a state-space average model for boost switching regulators is presented. The presented model includes the most of the regulator’s parameters and uncertainties. This model can be used to design a precise and robust controller that can satisfy stability and performance conditions. In modeling, the load current is assumed to be unknown, and it is assumed that the inductor, capacitor, diode and regulator active switch are non ideal and they have a resistance in conducting condition. Other non ideal effects are also considered. After presenting the complete model, the boost converter Benchmark circuit is simulated in PSpice and its results are compared with our model simulation results in MATLAB.
A Novel Flow Meter Selection Method Based on Fuzzy Multiple Criteria Decision-Making
Authors: Zalloi M.M. , Sadrnia M.A. , Fateh M.M.
Published: December 2011

Decision making can be defined as the selection process of the best cases from the alternatives in order to achieve a goal. Process planning engineers often use their intuition and experience in decision making. Fuzzy set theory has been used since 1970 in decision making process by using human experiences. This paper presents a new approach in the selection method for a Suitable flow meter based on fuzzy set theory for the industrial and automation process. The technical parameters such as turn down ration, power loss, accuracy, installation considerations and etc. with economic aspects, environmental effects, and safety considerations are established with field and laboratory tests together with the determination of other qualitative variables too. Classical method for flow meter selections generally produce a complex situation and take a long period of time. But new proposed method for flow meter selection has enabled users and suppliers to decide more quickly, easily and sensitively.
Harmonic Investigation and Simulation of Full Bridge LCL Resonant Inverter
Authors: Selvaperumal S. , Rajan C.Christober Asir
Published: December 2011

This paper presents 250W, 20 KHz LCL resonant inverter having Efficiencies greater than 95% were obtained down to resistive loads of 50%. Efficiencies greater than 80% were obtained at significantly reduced loads (11%). Operation above resonance was utilized to increase the efficiency and maintain zero voltage switching (ZVS) for varied loads. Total harmonic distortion (THD) of less than 8% was achieved for all resistive loads. The above results were obtained from evaluation version of PSIM also used to model the LCL topology for varied loads and LCL configurations. A LCL Resonant Inverter is proposed for applications in high frequency distributed AC power systems.
Modal Analysis of the Boom System of Truck-Mounted Concrete Pump
Authors: Zhou Xin Xiang , Xu Chang Lu , Ren Nan Nan , Guo Shu Jun , Tian Rong Liang
Published: December 2011

This In this paper, we study the boom of truck-mounted concrete pump, we determine that the four booms extending horizontally is the most dangerous working conditions. This paper bases on Pump arm boom functional and structural characteristics, strength, stiffness, stability. By Finite element method, the dynamic characteristics of arm pump is analysed. we use Solid Works to design three-dimensional entity. and, in the finite element analysis of Solid Works plug-in Cosmos Work environment we finish the theoretical modal analysis. We get its top ten natural frequencies and mode shapes, and analyze the results .This method is designed for high effect and quality Pump arm boom ,providing precise reliable data.
Off-Lattice KMC Simulation of the Growth Process of Ti-Si-N Film
Authors: Sun Shi Yang , Liu Xue Jie , Tan Xin , Jia Hui Ling , Tan Xiao Feng
Published: December 2011

In order to investigate the progress of the composite films growth, and the influence of the process parameters to the film‘s structure, this paper uses the off-lattice KMC method to research the Ti-Si-N nanocomposite film, and calculate the influence of deposition temperatures, deposition rate and Si content to the film’s surface roughness, nucleation size and density of initial stage. The results show that with deposition temperature and deposition rate ascend, it can increase transition event, decrease the film’s surface roughness. Si content works on nucleation in initial stage, and the more Si contents, the larger of nucleation rate and the smaller of the grain crystal.
Comparison between Middle-Face Model and 3D Model and Experiment of Gas-Assisted Injection Molding
Authors: Geng Tie , Ren Qing Hai , Zhang Yan Yun , Tu Wei Qing , Liu Dan Dan
Published: December 2011

Based on the research about the injection molding simulation technology such as 2.5-d model and 3D model, Numerical analysis on a same gas-assisted product was implemented using Moldflow software’s middle-face model and 3D model technology, and the physical experiment was also implemented. Through comparing the simulation results and experimental results, it shown that the time of the gas-assisted injection molding simulation based on 3D model is long, but the simulation results are more in line with experimental results than middle-face model. The numerical simulation using 3D model can truly and reliably predict the product’s molding process, and meet the demand to guide production.
Information-Based Complexity of Integration in the Randomized and Quantum Computation Model
Authors: Gao Wen Hua , Duan Li Qin , Zhou Wei , Ye Pei Xin
Published: December 2011

In this paper, we investigate the integration of the Hölder-Nikolskii classes in the randomized and quantum computation model. We develop randomized and quantum algorithms for integration of functions from this class and analyze their convergence rates. Comparing our result with the convergence rates in the deterministic setting, we see that quantum computing can reach an exponential speedup over deterministic classical computation and a quadratic speedup over randomized classical computation.
Accuracy Comparison of Data Imputation Estimation Methods between the Unconstrained Structural Equation Modeling and K-Nearest Neighbors
Authors: Phothi Narong , Prakancharoen Somchai
Published: December 2011

This study aimed to the accuracy comparison of data imputation estimation methods between the unconstrained structural equation modeling (Uncon-SEM) and k-nearest neighbors (K-NN). The measurement accuracy of the model based on the mean magnitude of relative error (MMRE). The model is developed by using the online database from University of California, Irvine (UCI) which is a data set on waveform generators. Indicators 21 (1,200 sets) methods were as follows: 1) Data set was divided into two groups (experimental group of 1,000 sets and test group of 200 sets); 2) The experimental group was analyzed by three main factors (F1, F2, F3); 3) Uncon-SEM method: It created a SEM with three main factors, then the remaining factors to be created new the relationships with the unconstrained approach and created new SEM. The test data was substituted in the equation to find the MMRE which was 34.29% (accuracy was 65.71%); 4) K-NN method: It selected the main factor was the relationship of the missing data (F2). Measure the Euclidean distance between the test group and experimental group and selected 5 (K=5) of data sets were nearest to the missing data for the estimate by mean. The MMRE which was 57.00% (accuracy was 43.00%). Thus, comparing estimates of missing data showed that using the Uncon-SEM method were more accuracy, and MMRE declined about 22.71% than K-NN method.
Multi-Objective Chaos Memetic Algorithm for DTLZ Problems
Authors: Ammaruekarat Paranya , Meesad Phayung
Published: December 2011

Based on Multi-Objective Memetic Algorithm (MOMA), a novel Multi-Objective Chaos Memetic Algorithm (MOCMA) is proposed . MOCMA is presented to keep population’s diversity, avoid local optimum and improve performance of Multi-Objective Memetic Algorithm. By virtue of the over-spread character of chaos sequence, it is used to generate chromosome to overcome redundancies. At the same time, searching space is enlarged by using sensitivity of chaos initial value. The comparisons of MOCMA with NSGAII in DTLZ problems suggest that MOCMA clearly outperforms in converging towards the true pareto front and finding the spread of solutions.
Classifying Business Types on Twitter Based on User Influential Analysis
Authors: Thongsuk Chanattha , Haruechaiyasak Choochart , Saelee Somkid
Published: December 2011

In this paper, we study the correlation between incoming link of users on Twitter, a micro-blogging website online social. Finding the influential user can apply to recommend users to follow their interest’s businesses domain. To analyze and find characteristic of the influential users for applying to improve the performance of recommender system. We use user’s Twitter posts from any solution into predefined business types. In this paper, we propose solution to applied user selection by comparing among three parameters: (1) the number of relevant posts (NumRP) (2) the number of incoming link from business follower (NumUFI) (3) the number of incoming link from every follower (NumTI). Each parameter is ranked and incremental organized into three groups of each parameter: (1) Top-100 (2) Top-200 and (3) Top-300. After that, we applied posts of selected users to build classification model. Comparison between among three user selection parameters and three user groups. From the experimental results, the performance of NumRP yielded the F-measure higher than NumUFI and NumTI respectively. In addition, users who organized into Top-100 user group of each user selection method are influential users.
Modification Model of Soliton Pulse for Higher Order
Authors: Sufi Muhammad , Mohamad Azam , Saktioto Saktioto , Ali Jalil
Published: December 2011

In this paper the variation in soliton pulse with different order number (N) has been investigated and analyzed by Nonlinear Schrodinger Equation (NLSE). The Split-Step Method has used for numerical calculation. The change in pulse shape, the slight decrease in power level and dispersion has been observed with increase in the soliton pulse order number. Thus, the soliton pulse parameters can be optimized to acquire the desired output. By using a half-soliton period length of low-loss single-mode fiber, we have been able to demonstrate the pulse compression and pulse splitting associated with several higher-order soliton as well as to observe the fundamental soliton.
To Construct a Management System for Tourism Resources of Intangible Cultural Heritage
Authors: Huang Xi Jia , Zhou Qing
Published: December 2011

The management of intangible cultural heritage as tourism resources has drawn more and more concerns recently. Therefore, it is an important project to construct a management system for the tourism resources of intangible cultural heritage under the instruction of sustainable development theory, system theory, and opportunity cost theory on the need of its inheritance. Generally speaking, this project involves two aspects: the management of its development and utilization calls for a series of rational development methods, such as government guidance, reasonable programming, tourism-oriented development, and life field restoration; whereas the management of its protection and inheritance requires some multidimensional security measures, including system security, education guarantee, non-governmental protection and digital management etc.. The construction of such a management system will function as standard and enlightenment to the management of intangible cultural heritage as tourism resources.
Cockpit Protection Analysis for Digital Pilot against Soft Kill from High Power Microwave
Authors: Huang Jun , Jin Yan , Hu Yun An , Zhang Hao Ran
Published: December 2011

A body finite difference time domain (FDTD) grid modeling engineering method and a simplified parallel FDTD algorithm are brought forward based on frequency-dependence electromagnetic equation by nonparametric curve fitting. By a shielded construction designed soft kill analysis against high power microwave (HPM) is carried out respectively on 3D simple and digital pilot in fighter model with a scale of 1:1, which is electrically huge and very complex in geometry and electromagnetic characteristics. The simulation tests show that the protective effectiveness to soft kill is good with shielded construction at 0.3-6GHz, HPM protective efficiency evaluation on digital pilot model is more optimistic and complex than that on simple pilot model, and speedup ratio of the presented approach can compare with that of the conventional method.