bluuebunny/crossref_metadata_2025 huggingface dataset:
Fabrication and Characteristic of Small-Area Flat Lamp Utilizing Carbon Nanotube Film Cathode
Authors: Wu Chao , Luo Jing
Published: February 2011

Using carbon nanotubes (CNTs) film as cathode material, the small-area flat lamp (FL) was sealed and fabricated. And the manufacture process for the whole FL was also presented in detail. The pyrolysis process was adopted to grow CNT film directly over the silicon substrate, and the chromium was deposited on the silicon substrate back surface to form the interface layer. After the sintering process for the screen-printed silver slurry, the patterned cathode electrodes were formed on the cathode back plane surface. Using silver slurry as adhesion material, the silicon substrate would be fixed on the cathode electrode. With the splicing method, the CNT film cathode could also be extended on the flat cathode back plane surface. The fabricated small-area FL using CNT film cathode exhibited better field emission property and high luminance brightness.
The Automotive Electronic Throttle Control Based on the Non-Linear Torque Observer
Authors: Zhang Hong Tao , He Ji Du , Liu Jin Ping
Published: February 2011

This paper introduces the structure and working principles of the automotive electronic throttle control system. After analyzing the non-linear factor of the system, mathematical model of the system is built up. And the working principle of non-linear torque observer is described. Then incremental PID controller and non-linear torque compensator were designed and simulated in the matlab/simulink. From the result, we can see that the control precision of incremental PID controller is poor, and it also easily has an overshoot. However, PID controller based on non-linear torque observer has a better tracking performance. It can meet control requirements very well.
An Improved Algorithm of Virtual Potential Field in Directional Sensor Networks
Authors: Huang Jun Jie , Shi Yi , Sun Li Juan , Wang Ru Chuan , Huang Hai Ping
Published: February 2011

In view of the irrationality that traditional virtual potential field algorithms brought about on the criterion for the generation of virtual force in directional sensor networks, we propose a novel criterion for judgment. Cross-set test is used to determine whether the sensory region has any overlap, thereby restrain the energy cost of nodes and the performance of the algorithm is improved. In simulation experiment, the validity of the novel criterion and IAPD (improved algorithm of virtual potential field in directional sensor networks) are verified by the compare of IAPD and traditional virtual field algorithms.
The Study of Identification Method for the Welding Defect Source of Low-Alloy High-Strength Steel Based on AE Technology
Authors: Dou Yan Tao , Xu Xiao Li , Wang Wei , Pang Si Qin
Published: February 2011

Three-bending test has been performed on the standard specimen and welding specimen with defect of low-alloy and high-strength steel in order to simulate the failure process of structural parts under loading, and the AE activities (number of hits) and stress-strain curve were measured during the whole loading process. The law of acoustic emission signals at different deformation stages has been investigated and the relation between AE characteristic parameters and the different deformation stages has been established. The typical AE waveforms such as friction noise, plastic deformation, welding microcrack initiation and propagation are obtained, which are analyzed by using spectrum characteristics analytical method. The spectrum characteristic parameters such as average frequency, peak frequency and frequency centroid, energy percentage of frequency spectrum part I and III of the typical AE defect signals are extracted, the distributing range of which are initially set. Study shows these five parameters have a closely relation with the nature of the AE signals, and based on these characteristics parameters different AE sources can be preliminary identified correctly. The study can provide some guidance to the practical application of AE acoustic emission technology in the industrial field.
Research on Secure Information Transmission Based on Internet of Things Numerical Control System
Authors: Wang Yan , Wang Ni Hong
Published: February 2011

The development of the Internet of Things (IoT) is on the basis of the secure information transmission, and the same is true for the numerical control system (NC system) based on the IoT (IoT-NC system). If the information is stolen in the process of transmission, the IoT-NC system will not be practical. Compared with the IPSec, the IDSec proposed by this paper is independent with other protocols, which is conducive to further expansion and compatibility, and it could better solve the compatibility problem of the IPSec with the NAT. From the view of transfer process, the IDSec removes the cumbersome process of add and removal IP and TCP header in the IPSec, which will reduce the amount of processing time and transmit data. In the meantime, the IDSec also retains many advantages of the IPSec, such as integrity authentication, origin and destination address authentication, anti-monitoring service, anti-replay service and so on. So, the IDSec is more suitable than the IPSec for the secure information transmission in the IoT.
Evolvable Production Systems: Environment for New Business Models
Authors: Maffei Antonio , Onori Mauro
Published: February 2011

The increasing threats and opportunities, on the global markets, challenge today the company at several levels. The actual Manufacturing Systems becomes dramatic for the survival and prosperity of the organization. Agility, Sustainability and high rate of Re-usability are the main objectives of an “Evolvable Production System”. Task-specific and process-oriented modules with embedded intelligence, together with distributed control based on agent technology are the cornerstones of an EPS. The realization and management of this kind of systems entail an ontological approach due to their implicit complexity. The reference architecture is the key to canalize the underlying holism of an EPS towards an effective instantiation, which exploits the “Emergent Behavior”, the key driver of the Evolvability of a system. The issues related with the application of this view, such as dynamic link between product and system design as well as the management of a module repository, underline the weakness of present business models. Therefore a model for the emplacement of a System that follows the “Evolvable Paradigm” predicament has been produced in order to enable further studies. One of the conclusions of the work is the need for a more suitable approach to business by the main actors involved in the realization of an EPS. Sharing information and standards about product design and modules realization becomes a compulsory strategic choice.
A Novel Method of Diameter Measurement by Laser Scanning Based on Flat-Crystal
Authors: Wang Yi , Ren Yong Jie , Liu Chang Jie , Ye S.H.
Published: February 2011

A novel diameter measurement device by laser scanning of which a flat-crystal was used as the core scanning part was designed. The device can generate high parallel scanning beam by means of the property that a beam won’t change its propagation direction after transmitting a flat-crystal. The influences on measurement error and range by using flat-crystal were analyzed in details. Theoretical analysis showed that the method was easy to realize and achieve high precision.
Channel Estimation for OFDM System with Regularized Total Least-Squares Solution
Authors: Fan Tong Liang , Fu Lian Qing
Published: February 2011

Orthogonal frequency-division multiplexing (OFDM) combines the advantages of high performance and relatively low implementation complexity. However, for reliable coherent detection of the input signal, the OFDM receiver needs accurate channel information. The Doppler shift of fast-fading channels will generate inter-carrier interference (ICI) and, hence, degrade the performance of orthogonal frequency-division multiplexing (OFDM) systems. In this paper, we present regularized total least-squares (RTLS) scheme to eliminate the ICI and noise. A closed-form mathematical expression has been derived to express the channel estimation. It has been shown that the proposed channel estimation and data detect can effectively eliminate the ICI effect.
Channel Assignment Strategies for Mobile Networks Using Fuzzy Petri Nets
Authors: Weng Yi Shun , Huang Yi Sheng
Published: February 2011

In mobile cellular networks, the mobile devices need to handoff to different base stations based on certain criteria. And also fuzzy Petri nets can support an effective rule to deduce the inexact information. Based on the reasons, this paper focuses on the use of fuzzy Petri nets to model the handoff region for obtaining optimal channel assignment schemes. In this paper, a fuzzy logic based scheme for selection of base station is presented. The scheme considers two cover regions, namely, dual-BSs fuzzy assignment handoff and triple-BSs fuzzy assignment handoff of each base station to arrive at a fuzzy handoff decision regarding handoff to any particular base station. For comparison, the conventional power level based handoff scheme is also considered.
Situation Reasoning in an Integrating Adjustable Autonomy Framework
Authors: Yin Li Li , Zhang Ru Bo
Published: February 2011

Currently, integrating adjustable autonomy framework are increasingly involved in future warfighters in complex task environments. The adjustable autonomy system must know what the user is doing, what needs to be done in the present situation, and the comparative strengths for of the human and the system in each task. Towards reasoning the situation, we are working on situation reasoning in an integrating adjustable autonomy framework of unmanned surface platform. This article provides a summary of various related work, ranging from situation awareness to performance capacity level assessment and impact assessment. In the end, we use visualization to display the process of the situation reasoning.
Analysis on Health Risk of Volatile Organic Compounds of Smoked Bamboo Biomaterial by TD-GC-MS
Authors: Peng Wan Xi , Xue Qiu , Wu Feng Juan , Zhang Xu , Zhang Zhong Feng
Published: February 2011

Smoked bamboo, which was made by bamboo in high temperature smoke, is a new indoors materials. In order to evaluate its potential health risk to human settlements, the volatile organic compounds of smoked bamboo biomaterial were adsorbed and determined by TD-GC-MS. And the main constituents of volatiles at 60°С were cyclononasiloxane, octadecamethyl-(35.14%), acetic acid(23.27%), cyclotrisiloxane, hexamethyl- (9.53%), bicyclo[4.4.0]dec-1-ene,2-isoprop yl-5-methyl-9-methylene-(7.56%), silane, 1,4-phenylenebis[trimethyl(4.32%), 1,3-benzodioxole, 5-(2-propenyl)- (3.47%), cedrol(2.75%), etc. (2) The main constituents of volatiles at 130°С were acetic acid(43.78%), 2,5-furandione, dihydro-3- methylene-(16.57%), 1,3-benzodioxole, 5-(1-propenyl)-,(z)-(6.75%), octasiloxane, 1,1,3,3,5,5,7,7,9,9, 11,11,13, 13,15,15- hexadecamethyl -(4.09%), bicyclo[2.2.1]heptan-2-one, 1,7,7- trimethyl-, (1s)- (3.21%), etc. Generally, the smoked bamboo biomaterial was safe under 60-130°С.
A Logic of Traffic Light Controller Modelled and Analyzed by Statecharts
Authors: Liao Tso Hsien , Huang Yi Sheng
Published: February 2011

Statechart has been utilized as a visual formalism for the modeling of complex systems. It illuminates the features on describing properties of causality, concurrency and synchronization. In this paper, we try to describe the behavioral of the traffic lights by using Statecharts. We use Boolean function to make the traffic light controller behavior in a certain way. This paper used Boolean function to analyze the models which are modeled by using Statecharts. Their formalism provides a clear means for presenting control logic. Finally, an example of traffic light controller system is examined successfully.
An Improved Segmentation Algorithm for Infrared Imaging Object
Authors: Liu Jin , Li Mian , Ji Hong Bing
Published: February 2011

In this paper, an improved threshold segmentation algorithm based on isoperimetric ratio for infrared imaging object is proposed. The segmentation weight matrix is constructed by computing the similarity among the pixies with 4 adjoining points and stored in a sparse matrix. The isoperimetric ratio is obtained after the indicator vectors are formed with 255 gray levels. The proposed algorithm selects the minimum isoperimetric ratio confined in conditions as the best partition criterion instead of the traditional minimum isoperimetric ratio. By analyzing the variation of isoperimetric ratio with the gray levels, the proposed method can find the optimum threshold to segment infrared imaging object. Experimental results show that compared with the traditional methods, the proposed algorithm can reach a higher segmentation rate and is more robust in different kinds of infrared images.
Implied Volatility Surface Estimation Using Transductive Gaussian Fields Regression
Authors: Park Hye Jin , Lee Dae Won , Lee Jae Wook
Published: February 2011

Implied volatility estimation is one of the fundamental tasks for asset pricing and risk management. In this paper, we investigate the applicability of semi-supervised regression techniques to estimate an implied volatility surface from the real market option data. Specifically, we employ a transductive Gaussian field regression method since it is able to predict a distribution of the implied volatilities for unlabelled data using only partially labeled data. We've conducted simulation on S&P 500 index data before and after the global financial crisis with discussions of the observed empirical properties of the method.
Finite Element Analysis of Track Rollers of the Crawler Excavator Based on ANSYS
Authors: Zhou Lan , Qu Qing Wen , Wang Cheng Jun , Zhang Hao Qian
Published: February 2011

The finite element model of track roller assembly of the Pc200-7 hydraulic excavator were established by the finite element software ANSYS. According to the actual working conditions of excavators, two working status of track roller assembly were summarized. Then, the structure linear static analysis to the different operating models was respectively carried on. The stress distribution situation and maximum value stress of the track roller assembly were obtained. At the same time, from the friction and wear properties, the effect of wearing on service life of the track roller was analyzed. And the improvement scheme to the easy wear parts is also proposed in the paper. The valuable reference dates is provided to the design and optimize problems and their internal friction and wear behaviors about track roller assembly of the crawler-type.
Ductile Fracture due to Adiabatic Shear during the Serrated Chip Formation in High Speed Cutting: a Microscopic Investigation
Authors: Duan Chun Zheng , Zhang Liang Chi , Li Hong Hua , Wang Min Jie
Published: February 2011

A deep understanding of adiabatic shear fracture (ASF) during serrated chip formation is essential to explore the material removal mechanism of high speed cutting (HSC). This paper aims to reveal the microscopic details of ASF in serrated chips. The material to investigate was AISI 1045 steel of different hardness grades, and the micro-structural analysis was conducted using optical and scanning electronic microscopes. The investigation showed that at the hardness of HRC50, most fractured surfaces were covered by a large number of dimples elongated along the shear direction, indicating that the fundamental cause of the serrated chip generation is the deformation localization of the adiabatic shear followed by ductile damage fracture in primary shear zones. The higher the material hardness is, the easier the adiabatic shear and ductile fracture take place. A new model was then proposed to interpret the ductile fracture due to adiabatic shear governed by the nucleation, growth and coalescence of micro-voids during serrated chip formation.
The Effect of Information Sharing on the Dynamics of a Two-Stage Supply Chain
Authors: Liu Hui Xin , Xue Chao Gai
Published: February 2011

In this paper, the effect of information sharing on the dynamics of a two-stage supply chain is investigated by switched system theory and discrete system control theory. The supply chain consists of one retailer and one distributor with a kind of order-up-to policy as the control law, and where the retailer’s forecasted demands are shared with the distributor, inventory constraint is considered too. The stability area of the different modes of the supply chain is given theoretically, and bifurcation diagram are used to describe the dynamics of the system by simulations. It is pointed that information sharing can make the supply chain more stable by weaken the bullwhip effect, however, the supply chain is apt to be unstable if the retailer choose to adjust its inventory unbalance radically, if so, the distributor should take a more conservative attitude to adjust its inventory unbalance. And it is also deduced that the stock level of the distributor has the critical effect on the dynamics of the supply chain.
Application and Research of Rotate-Lookup-Summation in Robot Motion
Authors: Shi Hao Bin , Dong Wen Jie
Published: February 2011

How to exercise reasonable motion control on robot becomes a new research focus in robot technology research. This paper proposes the Rotate-Lookup-Summation according to the deficiency of traditional look-up table. This method first confirm the controlling factors P1，P2….Pn that would affect the control volume Z, and then the multi-dimensional control volumes and multi-dimensional control factors would be projected to sub-dimensional space. Finally, the same controlling factors of different sub-dimensional space would be rotated to a single sub-dimensional space and establish a corresponding table. According to the single sub-dimensional space value of the controlling factors, the corresponding control variable could be found in table and eventually complete the control process. Experiments show that the method could ensure the integrity and accuracy of table, reduce the table memory capacitance and lookup time, so as to realize the control of look-up table in micro-device.
Research on Automatic Detection Technology for Coal Seam Floor Failure Features
Authors: Zhao Guang Ming , Meng Xiang Rui
Published: February 2011

By the impact of coal mining, coal floor will produce distortion and damage, and make the damage zone which may result in water inrush from the floor of coal seam. CT technology with DC electricity is used to analyze two-dimensional point source current field by employing the forward calculation, inverse iteration, model correction and other methods. On the basis, inverted resistivity image of the detecting zone is obtained, which can help to determine damage law and damage depth of coal seam floor. And then the possibility of water inrush from the coal floor is analyzed. Industry practice shows that the research results are credible and can play an important guiding role in the controlling of water inrush.
Influence of the Regenerative Process on the Trans-Critical CO2 Cycle
Authors: Lv Jing , He Zhe Bin , Yang Da Zhang , Huang Xiu Zhi
Published: February 2011

The trans-critical CO2 cycle usually involves a regenerative process. The regenerative process used in the trans-critical CO2 cycle is analyzed in this paper. The cycle with regeneration and without regeneration had been compared. The circumstance for the regenerative process set in the trans-critical CO2 cycle is given. The impact regeneration made on the performance of the system in difference operating conditions is also discussed in this article.
Optimal Size of China’s Fiscal Expenditure and Policy Evaluation: 1978-2006
Authors: Wu Qun Li
Published: February 2011

In perspective of maximizing the economic growth rate, this article examines the optimal size of China’s fiscal expenditure with theoretical and empirical methods. Based on exploring the Congested Public Goods Model and the Pure Public Goods Model, we estimate that during the year of 1978-2006 the optimal size of China’s fiscal expenditure is about 20-25% of GDP. According to this criterion, China's fiscal spending policies can be divided into three development stages: (1) the higher size phase (1978-1992); (2) the lower size phase (1993-2000); (3) the optimal size phase (2001-2006)
Crankshaft of RMP Analysis Based on CAE
Authors: Peng Bin
Published: February 2011

Crankshaft is one of the main components in reciprocating mud pump (RMP). Its stress significantly affects reliability and performance of high pressure and large power RMP. In this study CAE stress analysis was actively applied to secure the high reliability of main components and improve the performance of RMP. Through movement analysis and computation for various components of RMP, the load of crankshaft was obtained. By effectively using CAE stress analysis to three kinds of dangerous working conditions of crankshaft, distribution characteristics of the max main stress, the min. main stress and the Mises stress were obtained. The most dangerous condition and position were gotten through stress analysis. The analysis results give theory support for design and development of high pressure, large power, high performance and high reliability RMP.
The Investigation on TSSC Based on 3C
Authors: Peng Bin
Published: February 2011

CAD/CAM/CAE (3C) was effectively applied to twin-spirals scroll compressor (TSSC) from conceptual design to finished products in this paper. A virtual model and mathematical model of TSSC was developed. The swarm intelligence algorithm was used for TSSC optimization and the final optimization design variables were gotten. CAE was used to study the two key components of TSSC-orbiting and fixed scroll, which is useful for improving the quality and reliability of manufacturing and assembly accuracy at the later stages. CAD, CAPP, CAM, CAE and NC tool path code generation are included in 3C. The prototype of TSSC was manufactured based on 3C. The used results indicate that 3C method can well overcome the blindness and limitation of the traditional design. It offers the new method and idea for wide application of the scroll compressor.
Research on N-Body Problem with FMM Algorithm Based on FPGA Acceleration
Authors: Chai Ya Hui , Cao Min , Xu Wei Min , Li Qi Gang , Zheng Yan Heng
Published: February 2011

FMM is an efficient algorithm in computing N-body problem. This paper firstly partitions the FMM into 8 procedures. Based on the analysis the running time and computing type of each procedure, we choose key procedures accelerated on FPGA, and then we present the speedup ratio of each accelerated procedure through experiments. According to the FPGA acceleration effect on the procedures, a multi-level acceleration project is proposed. Finally we put forward a hardware architecture of FPGA accelerated high performance computer.
Workspace Measurement Positioning System Based on Optical Scanning and Wireless Sensor Network
Authors: Yang Ling Hui , Zhu Ji Gui , Wu Bin , Yang Xue You
Published: February 2011

A novel workspace measurement positioning system based on optical scanning and wireless sensor network is presented in this paper. Coordinate measurement principle through angle intersection is detailed discussed. According to analysis of system requirement, a Zigbee wireless sensor network is designed for data transmission; routing algorithm and flowchart of nodes software are also given. A platform consists of two planar laser transmitter and optical receivers is set up for verification. Experiments result demonstrates that the accuracy of new angle measurement method is better than 1mm.
An Adaptive Clonal Selection Algorithm with Stage Mutation Operation for Unrelated Parallel Machine Scheduling Problem with Sequence-Dependent Setup Times
Authors: Niu Qun , Zhou Fang , Zhou Tai Jin
Published: February 2011

This paper proposes an adaptive clonal selection algorithm (CSA) to solve the unrelated parallel machine scheduling problem (UPMSP) with sequence-dependent setup time constraints. The objective is to find the sequence which minimizes the makesepan. CSA is a newly discovered population-based evolutionary algorithm based on the clonal selection principle and the immune system. In order to improve the performance of CSA, a local search operation is adopted to strengthen the search ability. In addition, an adaptive clonal factor and a stage mutation operation are introduced to enhance the exploration and exploitation of the algorithm. The performance of the proposed adaptive clonal selection algorithm is compared with genetic algorithm (GA), Simulated Annealing (SA) and basic CSA on 320 randomly generated instances. The results demonstrate the superiority of the proposed method and confirm its potential to solve the UPMSP with sequence-dependent setup time constraints especially when the scale of the instances is very large.
Study on Hardware and Software Realization of Harmonic Detection in Power System
Authors: Zhang Kai , Zhao Xia , Zheng Zhi Hong
Published: February 2011

This article introduces a harmonic detection device based on ARM/ DSP. This device uses DSP technology to analysis the harmonic wave in the power system by using complex sequence fast Fourier algorithm, and realizes the power system harmonic on-line detection with the strong control function of ARM module. It overcomes the inconsistency of the time sequence in communicating between DSP and ARM, and solves the synchronous sampling problem of each phase voltage for data acquisition module. In the program it mainly solves the HPI interface of data communication problem between DSP and ARM. Practical applications show that the device can rapidly and accurately detect characterization of power quality, and realize the telecommunication of the power grid data. It can detcet data accurately and reach the level of practical applications.
Study of Key Techniques on Electrocardiogram Printouts Digitizing
Authors: Shi Guo Jie , Zheng Gang , Dai Min , Mou Shan Ling
Published: February 2011

Key techniques were proposed in printout electrocardiogram (ECG) digitalization, which were composed by image edge detecting, angle adjusting, and ECG waveform extracting, de-noising, scaling, and saving. The requirements of digitalizing procedure contained ECG amplitude accuracy rate, heart rate counting, and morph changes. Experiments showed that the key techniques can preserve the fatal features and parameters efficiently, precisely, and automatically. The accuracy rate of waveform amplitude reaches 95%, and heart rate of that reaches 98%. The results satisfied the clinical requirements, and can be used for network medical service.
Study on Specialized Emergency Navigation Terminal for Disaster Relief
Authors: Zhang Fei Zhou , Geng Jia Zhou , Cheng Peng
Published: February 2011

Aimed at the great demand dealing with our natural disaster, it is important to carry on integrated technologies like satellite navigation and positioning monitoring, embedded geographic information system and sensing technology etc. Also, to accomplish the seamless connection with nation’s disaster assessment system in various environments when the communication links are clear and accurate, to realize the disaster information obtained quickly and shared rapidly together with the reliable orientation navigation provided by the disaster terminal users and quick inquiry and effective adjustments for relief workers or relief supplies. Above integrated technologies have set a technological foundation for national disaster relief command system, which is of great importance when considering enhancing the ability for national emergency relief.
The Design and Realization of Laser Performance Test Software
Authors: Cao Wen Lun , Chen Bei , He Yu Yao
Published: February 2011

In order to realize the performance test and analysis calculation of 250mmHe-Ne laser, the data collection and processing systems based on ARM STM3210 are designed. This paper expounds emphatically the design of real-time display control software, and introduces the function and key technique of system software. We define the file format to ensure the memory consistency of different experimental data so that the data could not be modified readily. The realization of different functional classes guarantees the reusability and reliability of code, meanwhile the double buffer technology eliminates the gleams phenomenon successfully when the computer screen refreshes.
Studies of Protein Absorption and Fouling Behavior on Amphoteric Charged Polypropylene Microfiltration Membrane
Authors: Liu Yan Jun , Lv Chun Ying , Yang Jia
Published: February 2011

To improve the antifouling property of PP membrane, a series of amphoteric charged membranes was prepared by the introduction of cysteine on polypropylene membrane. The modified membrane presents higher water flux than original membrane due to the improved hydrophilicity. It was proved by zeta potential that modified membrane inherited the amphoteric characteristic from cysteine. The isoelectric point of modified membranes are at pH 7.2 and 6.5 for 7.6% and 16.1% grafted membranes respectively. Due to the amphoteric characteristic of both modified membrane and BSA, electrical repulsion exsists among grafting chains and BSA in acid and alkaline solution. As a result, modified membranes have much lower adsorption amount of BSA than original PP membrane. Moreover, modified membranes show obvious antifouling property to BSA, due to the improved hydrophilicity of membrane and the electrical repulsion between BSA and membrane. Therefore, the amphoteric charged membranes modified by cysteine show great potential to resist protein fouling in a wide range of pH.
An Efficient Sport Video Segmentation System
Authors: Zhao Xin Bo , Zou Xiao Chun , Ma Zhong
Published: February 2011

Digital sport video segmentation is an active area of research. And such an efficient sport video segmentation system is necessary. The system employs the feature-based motion estimator to estimate the video motion model parameters. Thus, we can use the result to compose the panorama. Project frames with motion parameters, the corresponding frames were connected and then stitched into a panoramic image according to infer the frames on a 2D manifold. For accurate alignment, we iterate between the motion estimator and topology determination to optimized parameters. Accuracy panorama composition is implemented to redress the error accumulation and achieve the pixel combination. After that, for the purpose of removing the foreground objects, we use the panorama estimation process. At last, we determine the sportsman segmentation masks that are the final output of the segmentation system. The test results showed that the proposed system is efficient.
Digital Mining Control Management System in an Open Pit Based on GIS/GPS/GPRS
Authors: Jing Shi Gun , Li Fa Ben , Ma Xin
Published: February 2011

Using GIS(Geographic Information System), GPS(Global Positioning System), and GPRS(General Packet Radio Service), an digital mining control management system in an open pit has been designed and developed. A linear programming model is set up in a practical application. By the model, the system can automatically draw up production plan of ore blending well every day. The system can monitor and dispatch open-pit trucks and shovels well, and can play back their historical paths. It can monitor and control the process of mining production in real time. The system can also count the number of trucks’ delivery and shovels’ loading automatically. Experiments on real scenes show that the performance of this system is stable and can satisfy production standards of ore blending in open pits.
Study on Financial Market Risk Management Based on the Dynamic Copula Model
Authors: Xu Yan Li , Wang Ling Ling
Published: February 2011

This thesis mainly studies Copula model and the application of the model in financial market risk management. On the basis of studying copula, this thesis builds a dynamic Copula model to solve the financial market risk management problems. Using statistics and financial theories and Copula model, the thesis studies applications of Copula model in the financial risk management and resolves the problem that whether the financial contagion exists. The results indicate that the applications of model in the financial market risk management are effective, and should study in deep.
Application of Nanoscale Poly(divinyl-Benzene Vinylpyrrolidone) as Solid-Phase Extraction Adsorbent Prior to LC-MS-MS for the Determination of Paralytic Shellfish Poisoning Toxins in Shellfish
Authors: Zhang Xiao Ling , Feng Bing , Cai You Qiong , Yu Hui Juan
Published: February 2011

In the present study, the feasibility of the poly(divinyl-benzene vinylpyrrolidone) as solid-phase extraction (SPE) nanoscale adsorbent prior to LC-MS-MS method for the sensitive and selective determination of eight paralytic shellfish poisoning (PSP) (GTX1, GTX2, GTX3, GTX4, GTX5, dcGTX2, dcGTX3 and dcNEO-b) toxins in the shellfish was investigated. Various parameters affecting SPE efficiency including the eluent and its volume, and sample volume were studied. The application of the SPE can remove most of the ematrix interference compared with the conventional SPE procedure. By using slected reaction monitoring (SRM) mode in LC-MS-MS analysis, the acquired calibration curves were strictly linear (r2 > 0.996) for the eight targeted analyses. The feasibility of the proposed method was finally validated by quantifing the eight PSPs in the shellfish samples (scallop, Crassostrea gigas and Ruditapes philippinarum) with the satisfitory recoveries of more than 80% with RSDs less than 10%.
The Study of PNN Quality Control Method Based on Genetic Algorithm
Authors: Li Jun , Kan Shu Lin , Liu Peng Yu
Published: February 2011

For the probability neural network (PNN) algorithm is the non-surveillance's pattern taxonomic approach, the work load major problem, moreover the category number's selection will affect the cluster performance. How to optimize PNN enabled it to play a more effective role in the classified question, this paper proposed one use genetic algorithm optimization probability neural network method: introduction the auto-adapted mechanism genetic algorithm, to the probability neural network's parameter carries on the training, formed the supervised learning probability neural network based on the genetic algorithm, overcome the probability neural network existing algorithm flaw. Then introduces this model in the quality control, guaranteed that the production process is at the control state, achieves the quality control goal. Carries on the test through the simulation experiment to this algorithm, and with the probability neural network, the BP neural network carries on the comparative analysis, proved this method accuracy is high.
VCHR: Virtual Cluster-Based Hybrid Routing Protocol
Authors: Wang Zhen , Huang Lin
Published: February 2011

There are a couple of inherent shortcomings which are hard to be overcome in single topology network; thus we propose a novel routing protocol—VCHR, i.e., Virtual Cluster-based Hybrid Routing, which employs hybrid topology, bears the stamp of flat and hierarchical routing protocol. At stage of hierarchical routing, VCHR draws on the idea of the virtual cluster; base station controls clustering process based on network coverage control criteria in centralized model, and ensuring the reliability of virtual clusters by making use of the three-way handshake mechanism. Flat routing employs shortest path routing protocol to get the optimized routing path to base station. In context of low algorithm complexity, the protocol could realize full network coverage control, effectively balance energy load among sensor nodes and quickly respond to network dynamic changes.
Moving Vehicle Classification Using Cloud Model
Authors: Zeng Zhi Yuan , Li Bo , Tan Xiao Jun , Zhou Jian Zhong
Published: February 2011

In this paper, we proposed a vehicle classification algorithm based on cloud model. Cloud model is a new theory which can express the relationship between randomness and fuzziness. Vehicle features, such as vehicle size, shape information, contour information and edge information are extracted for cloud model. Each vehicle class is expressed through cloud model parameters, such as Ex (expectation), En (entropy), with multi-dimensional feature. And cloud classification model is employed to judge the optimal class for each vehicle. Furthermore, attribute similarity is introduced to judge the weight of each feature in classification. Decision tree classifier is utilized for classification. The algorithm’s evaluations on video image series, the results show that cloud model ensures a promising and stable performance in recognizing these vehicle classes, and the algorithm can achieve accuracy and real-time.
Evaluated Preference Genetic Algorithm and its Engineering Applications
Authors: Liu Tung Kuan , Chang Hsin Yuan , Wu Wen Ping , Chen Chiu Hung , Ho Min Rong
Published: February 2011

This paper proposes a novel multiobjective genetic algorithm (MOGA), Evaluated Preference Genetic Algorithm (EPGA), for efficiently solving engineering multiobjective optimization problems. EPGA utilizes a preferred objective vector to perform a fast multiobjective ranking schema within a low computation complexity O(MNlogN) where N is the size of genetic population and M is the number of objectives. For verifying the proposed algorithms, this paper studies two engineering problems in which multiple mutual-conflicted objectives should be considered. According to the experimental results, the proposed EPGA can efficiently explore the Pareto front and provide very good solution capabilities for the engineering optimization problems.
The 3D Geological Structures Modeling in the Hei 47 Area of Daqingzijing Oil Field
Authors: Gu Zhao Jie , Zhang Jin Liang , Ding Fang
Published: February 2011

Structure model is the basis of reservoir geological model, which mainly includes fault model and layer model. According to the research of Daqingzijing Oil Field, the paper established the structure model of this area and explain the modeling process. It is easy to learn that 3D geological structures modeling can imitate underground situation vividly in realistic operation of structure model by means of the final structure model achievement. And it is helpful for people to know the structure of the research area better and it provides a foundation for the later modeling.
A Novel Time Synchronization Algorithm Based on the Synchronizer on Wireless Sensor Network with Clustering Architecture
Authors: Tian Jun Feng , Wen Huai Xiang
Published: February 2011

Wireless sensor network applications often require a scalable time synchronization with the environment and communicating. Most of time synchronization algorithms are based on hierarchical structure and the precision is promoted at the expense of more complicated calculation. At the same time, the time synchronous is slower on the whole network because of the worse channel collision. This paper presents a novel time synchronization algorithm on the basis of synchronizer of clustering architecture. We adopt the improved RBS approach and introduce the synchronizer as to reducing messages’ overhead efficiently. Finally, performance of this algorithm is illustrated by a simulation experiment.
High Frequency Ultrasonic Elliptical Vibration Turning Studty for Weak Rigidity Precision Workpiece
Authors: Li Wen , Zhang De Yuan
Published: February 2011

Based on analysis of the micro-surface and kinematical formulas of elliptical vibration cutting(EVC), the paper presents that frequency and amplitude of vibration parameter affect surface roughness, forming accuracy and machining efficiency of weak rigidity workpiece: increase vibration frequency are result in lower vibration cutting duty cycle , lower cutting force, advancer critical speed, so advance forming accuracy and machining efficiency; decrease amplitude are result in reduce the height of vibration ripples in cutting direction , so improve surface roughness. Experiences of cutting the weak rigidity workpiece by the designed double bending hybrid vibration high transducer, verified that the high frequency elliptical vibration cutting are proved more conducive to machining weak rigidity workpiece.
Interpolation Algorithm on Numerical Control Technology
Authors: Zhao Zhen Yu , Liu Ming Jun , Xiao Yong Shan , Liu Bai
Published: February 2011

High speed machining (HSM) features in high efficiency, high precision, high flexibility and high quality. The key techniques on HSM such as linear interpolation, circular interpolation, cubic B-spline curve interpolation, non-uniform rational B-spline (NURBS) curve interpolation and their respective characteristics are paid more attention and expatiated. Circle arcs are approximated by using intersecting polygons instead of general inscribed polygons. NURBS interpolation algorithms can reduce feedrate fluctuation and improve machining accuracy.
Research on Wire-Driven Parallel Manipulators
Authors: Wang Xuan Yao , Cao Yi
Published: February 2011

The forward kinematics of wire-driven parallel manipulator CRPM(Completely Restrained Position Mechanism) for aircraft wind tunnels is presented. Based on parameter GCI of workspace performance for the parallel manipulator is proposed, and the structure dimension by instance is optimized. The optimal tension distributing of CRPM is theoretically solved, based on effect coefficient harmonic resolution and energy optimal resolution equations are established which are showed by very simple expression.
Modeling and Modifying the Foraging Strategy in Swarm Robots
Authors: Xu Dong , Liu Bai Long , Zhang Ru Bo
Published: February 2011

Swarm Intelligence which emerges from interactions of simple individuals can be used to solve many problems. The foraging task in ant system is often considered as the prototype of cooperative behavior in Swarm Intelligence. The foraging model in swarm robots which considers the random feature of individual robot is built using the mean field method. Then the conflict between robots which influences the performance is observed. To solve this problem, a modified foraging strategy based on pheromone is proposed. From the simulations in Starlogo platform, it is shown that the modified method can reduces the conflict of robots and increase the performance of the system.
The Robust Reliability Optimization of Steering Mechanism for Trucks Based on Non-Probabilistic Interval Model
Authors: Cheng Xian Fu , Zhang Xin
Published: February 2011

In the optimization design for steering mechanism of trucks, considering the impact of controllable factors and noise factors, based on the reliability optimization theory, the stable reliability sensitivity method and the robust design method, the robust reliability design for steering mechanism of trucks is extensively discussed. Compared with the conventional probabilistic reliability optimization approach, the proposed method does not require a presumed probability distribution of the uncertain parameters and only the bounds or ranges of their variations are required. The movement precision is chosen as objective function and kingpins distance, axle base, the bottom angle of trapezoid and the arm length are chosen as design variables.
Study on the Ant Colony Optimization
Authors: Luo Xian Wen
Published: February 2011

As a hot spot of the algorithms of swarm intelligence, Ant Colony Optimization is proposed by an Italian scholar M.Dorigo by simulating the foraging actions of ants. This paper introduces the principle of this algorithm and its merit and demerit in great detail. It proposes an effective method named “four steps” based on others scholars’ “three steps” to choose the optimal combinational parameter of ant colony algorithms, then analyzes the improved algorithm of ant colony. At the same time, several kinds of algorithms are compared and analyzed in performance in solving TSP problems through the experiments. the optimal results can be obtained.
Design of Airfield Lighting Monitor and Control System Based on Hybrid Network
Authors: Wang Chang You , Yao Xiao Feng
Published: February 2011

Airfield lighting system is necessary visual aids to ensure the normal movements of aircraft at night or under low visibility conditions. A hybrid network monitoring system based on CAN bus and Ethernet was introduced in the paper according to the actuality of national airfield lighting control system. The AC chop voltage regulating technology was adopted to adjust light level in the Dimmer what is the core of the system, configuration software, hybrid network technology were used to realize the remote monitoring, overall design scheme, the choice of hardware and software platform, and the realization method of network communication were gave out in the paper. Experimental results show that system performance is superior, and be worth promoting.
Error Emendation of Sensors Array Autonomous Localization Algorithm
Authors: Wang Xiao , Wang Ju Xiang , Wu Xin
Published: February 2011

This paper introduces the principle of sensors array autonomous localization system. Base on the analysis of the localization precision decline reason in the marine environment, one kind of sensors array autonomous localization error correction algorithm is described in this paper. This approach can decrease the error interference introduced by the external environment, enhance the localization precision. And through the simulation, data analysis and compare, the results show that the approach is promising tools to enhance the precision of sensors array autonomous localization effectively.
The Influence of Wind and Emendation in Passive Acoustic Localization
Authors: Wang Xiao , Cao Bai Yang , Wu Xin
Published: February 2011

This paper describes the principle of passive sound localization and sound localization algorithm based on a four-element array example discussed in the wind for positioning of the passive voice, and to amend their ways, this paper focuses on the measurement of the target signal in the delay algorithm based on simulation, and wind for passive localization impact and how to modify the impact, given the correction formula, and by computer simulation, the simulation calculated the azimuth error of the table can see, after following a marked improvement in azimuth, so as to achieve the effect of the amendments to improve the positioning accuracy.
Research on Selection of Service Outsourcing Suppliers Based on Intuitionistic Language Fuzzy Entropy
Authors: Lu Shan
Published: February 2011

This paper, based on a comprehensive consideration of features of the selection of service outsourcing suppliers, proposes the criteria for evaluating suppliers of service outsourcing by combining the traditional evaluation index system, and the criteria are determined as technical capability, responsiveness, quality, value-adding ability and cultural cooperation. In this paper, method of multi-criteria decision making, based on intuitionistic language fuzzy entropy, is adopted to evaluate and select suppliers of service outsourcing, and the scientific and feasible nature of this decision-making process is then verified through empirical studies. It is necessary to further enrich and improve the index system and methods of supplier selection in the future according to features of companies from different industries and with different background.
Optimization Design of MEMS Thermal Actuator for Food Industry
Authors: Gong Yan Jue , Zhao Fu , Xiang Hui Yu , Zhang Li
Published: February 2011

Micro-actuator is the key device for the MEMS to perform physical functions. According to a kind of bimorph thermal actuator, this article presents an optimum design method to improve the sensitivity of MEMS actuator. Based on thermal analysis of software ANSYS, the thermal displacement and distribution of temperature field can be obtained clearly. Then a series of reasonable parameters are determined by optimum calculation. The simulation comparison analyses including thermal displacement, stress distribution and fatigue life are carried out to demonstrate that the sensitivity of the optimized structure has been improved effectively by the presented optimization method.