bluuebunny/crossref_metadata_2025 huggingface dataset:
Research on the Factors Affecting Knowledge Transfer among Participants in Engineering Project
Authors: Cheng Min , Li Jin
Published: December 2011

Effective transfer of knowledge is one of the key factors for the successful performance of engineering projects. In this paper, a Structural Equation Model (SEM) on the Impact factors of knowledge transfer among project participants is established. Lisrel software is used to test the model and assumptions and the factors that affect knowledge transfer are analyzed and eventually get. According to the analysis results, some suggestions for improving efficiency of knowledge transfer in engineering projects are presented also.
Research on SPKI/SDSI Cridencials and RT0 Cridencials
Authors: Geng Xiu Hua , Zhang Xiao Lei
Published: December 2011

Trust management is a distributed access control mechanism for open, large-scale network. SPKI/SDSI and RT0 are typical trust management systems. This paper compares the different crendentials in those systems essentially, and the result shows that although RT0 crendentials are relatively simple, they are expressively eauivalent to SPKI/SDSI crendentials.
Design of GPS Based on Single Chip Microcomputer
Authors: Long Guang Li
Published: December 2011

In order to go on a journey conveniently, the STC89C52 SCM is used, one kind of GPS user terminal is designed, it including GM-89 GPS module, communications and transformation connection, control processing electric circuit, display circuit, RS232 exterior serial communication connection and so on. The related hardware welding on the PCB, the software programming After-Burning writes in the SCM, inserts the TFT colored tablet (or 12864 liquid crystals) and outside sets at the type GPS antenna. On the electricity, demonstrated the longitude, latitude, time and altitude above sea level and so on information, after access the internet to consult the local latitude and longitude information to carry on compared to rightly, the result is correct, indicated that has achieved the design requirements.
An Improved Multi-Exposure Image Fusion Algorithm
Authors: Xiang Hu Yan , Ma Xi Rong
Published: December 2011

An improved Multi-Exposure image fusion scheme is proposed to fuse visual images for wide range illumination applications. While previous image fusion approaches perform the fusion only concern with local details such as regional contrast and gradient, the proposed algorithm takes global illumination contrast into consideration at the same time; this can extend the dynamic range evidently. Wavelet is used as Multi-Scale analysis tool in intensity fusion. For color fusion, HSI color model and weight map based method is used. The experimental results showed that the proposed fusion scheme has significant advantages in dynamic range, regional contrast and color saturation.
A Design and Implementation of SOA-Based Online Collaborative Agreement Signing System
Authors: Qiu Ning , Dai Guo Yong , Lv He Xin
Published: December 2011

Service-Oriented architecture (SOA) has increasingly becoming an architectural evolution as one of the software design principles. This paper proposes an architecture design of an online collaborative agreement signing system based on SOA. The advantages over traditional designs are loose coupling, scalability and flexible combination of services. Web service model of the proposed solution is also described. Electronic seal and digital watermark are discussed as the domain knowledge as well. Sample software based on Windows Communication Foundation (WCF) technology on .NET platform is introduced in the last part of the paper.
The Combined Development of Ogre and WPF Based on its Applications in the Field of Medical Education Software
Authors: Wang Jian Guo , Ji Qiang , Jiang Xiao Yu
Published: December 2011

Ogre (Object-Oriented Graphics Rendering Engine) is a scenario-oriented, versatile 3D engine developed in C++ language. Its serves the purpose of allowing the developers easier and more direct usage of hardware acceleration in the development and applications of 3 dimensional graphics system. This library has hidden all details involved in bottom system library (for example: Direct 3D and OpenGL) and provided an interface based on world object and other intuitions. The Ogre engine affords developers an open source, Multi-Systems support as well as comprehensive 3D drawing engine abilities among other features. WPF was a user interface framework developed by Microsoft based on NET Framework 3.0 architecture basis. It has the advantage of allowing the programmer fast processing of complex controls and interfaces. Furthermore, it breaks the limitations in traditional MFC (Microsoft Foundation Class) format interface drawing. The purpose of this paper is to set forth answering the question of how to combine the applications of both technologies and realize the complete separation between interface engineers and engineers. In addition to improving working efficiency, how to develop robust application software that has visually pleasing interface for software companies.
Application of Attribute Recognition to Highway Conditions Evaluation
Authors: Yang Shang Yang , Zhang Long Yun , Gao Yue
Published: December 2011

Highway is the primary foundation establishment of a city. Exact and timely evaluation for pavement condition plays an important role in keeping trafic flowing and safe, reducing accident, and bringing into play the estabhsh function of roadways. Base on the attribute recognition theory which makes efect identification and analysis for things, the attribute recognition model of evaluation for pavement condition is discussed, and the power weight is developed with the entropy method, which avoids the subjectivity and increases the reliability. This model introduced a simple and efective appraisal method of highway pavement condition.
Empirical Analysis of Relationship between the Government Technical Investment and Economic Growth - Take Shaanxi Province as Example
Authors: Wang Yan , Wu Jie
Published: December 2011

According the data from 1995—2008, this paper has analyzed empirically the relationship between technical investment and economic growth in Shaanxi province government. The result showed that technical investment of Shaanxi province government has greatly improved the economic growth; however, there was big gap between the whole investment scope and the specific scopes of different districts and provinces and, the technical investment take a comparative small scale on the whole finance expenditure or GDP. So, this paper pointed out some suggestions to optimize technical investment of Shaanxi government, that to improve pluralism technical investment system, help universities to enhance multi-research & exploration and enhance the establishment of the army and the people scientific and technological innovation system.
An Online Terrain Avoidance Algorithm Based on Inverted Triangle
Authors: Wu Tian Bao , Liu Tun Dong , Jiang Hao
Published: December 2011

For Laser-Based forward looking radar cruise coasting stages independently evade terrain obstacles the subject. In Terrain avoidance algorithm, the paper presented the concept of flight vector triangle. By solving forward looking radar laser terrain points in the field of view of cost function, find the most suitable place flight vector topographic points of a triangle, determining terrain avoidance navigation point, greatly simplifies the gain terrain avoidance radar field angle calculation process navigation point. The algorithm is simple and quick, timely access to bypass navigation radar field of view, providing feasibility guarantees for the missiles’self avoiding flight.
Performance Analysis of AODV Protocol in Mobile Ad Hoc Networks
Authors: Ding Yuan Ming , Sun Chang Hong , Song Lin , Kong Wan Qi
Published: December 2011

Simulation environment of the mobile Ad Hoc network is built by applying NS2 simulation software. The simulation data indicates that AODV routing protocol is better than DSDV in throughput, fairness and stability. In the underwater network environment where the nodes are in Low-Speed movement, the data transfer rate of AODV routing protocol is higher than AOMDV. To a certain extent, AODV is more suitable for application in underwater environments.
Embedded Network Controller and Application in CNC System
Authors: Zhang Hong , Zhang Xing Hui , Zhang Jian Hua
Published: December 2011

For the inherent deficiencies of fieldbus control system, the thesis is designed and implemented a kind of embedded network controller with AT91RM9200 which is a 32bits microprocessor, multiple Ethernet interfaces and field bus interface for embedded network controller, the establishment of a Windows CE-based embedded software development platform. Embedded Network Controller to the CNC system, CAN bus and DSP by matching the system to improve timeliness and reliability, a remote distributed measurement and control and communication purposes.
Characteristic and Influential Factors of Pollution Zone in the Lower Reach of Minjiang Tidal River
Authors: Liu Mei Bing , Chen Xing Wei
Published: December 2011

The lower reach of Minjiang River, which passes through the Fuzhou city, is in the tidal area. A Two-Dimensional hydrodynamic and water quality model is developed. Taking Wukong sewage outfall as an example, the characteristic of pollution zone which is visualized by the contour of concentration is investigated, and the influential factors are also analyzed. It shows that the longest upstream pollution zone appears near the fastest flood moment, the longest downstream one appears near the ebb moment, the widest pollution zone occurs near the high or low water stand moment. The factors such as pollutant load, pollutant decaying coefficient and longitudinal diffusion coefficient are sensitive to the range of the pollution zone.
Greedy Routing on Complex Networks
Authors: Shi Xin Ling , Zhang Li Jun , Wang Da Kuo
Published: December 2011

This paper proposes a new routing strategy on complex networks. Based on the idea of greedy algorithm, our routing strategy chooses the node that has the highest probability to reach destination with the studies of max degree search strategy. In the meantime, the dynamic information like queue length will affect influence our strategy in order to increase the capacity of network. The result of simulation shows our strategy has a better performance compare to other local routing strategy. This strategy can be used on different kinds of complex networks.
Research and Design of Smart Phone-Based Logistics Information Management System
Authors: Huang Wei Dong , Ni Ran , Shi Shi Ying
Published: December 2011

With the continuous development and improvement of wireless communication technology, the logistics information management system based on PC limits the timeliness of information exchange in the logistics business process. The java-based J2ME mobile phone as a wireless terminal device with the convenience of carry; therefore the J2ME technology in the construction of logistics information is a new way of thinking. This paper first makes an overall design of mobile logistics information management system structure, analyzes the basic function of this system, researches the network connection between client and server and realizes the server-side functionality design. Finally, the article concluded that the J2ME technology can be widely used in mobile management system, and the logistic information management system based on J2ME can greatly improve the working efficiency of the logistics enterprise.
Suppression of ASE by Using Pulsed-Pumped Technique in Fiber Amplifier
Authors: Zhang Wei Yi , Ning Ji Ping , Chen Bo
Published: December 2011

Implementation of pulsed-pump technique in fiber amplifier is highly useful in the situation of low repetition rate and high energy pulses operation. In this paper, the ASE (Amplified Spontaneous Emission) dynamics simulation in a pulsed-pumped ytterbium-doped double-clad fiber amplifier is presented for the first time, which provides important guidance about optimizing the pulsed-pump mode. The simulations of ASE dynamics are carried out by solving the rate equations and light power propagation equations in fiber using the finite elements analysis method, including variations of ASE output power at two terminals of the fiber in the time span from 0 ~ 740μs after pump light injection. Furthermore, a way of optimizing signal injection time is discussed.
Research on Schedule Planning Management of Railway Construction Project Based on CAS
Authors: Zhao Xiang Dong , Lian Hao , Zhang Dong Sheng
Published: December 2011

The CPM and PERT are the most popularly used underlying method of schedule planning of construction project, Problematically, CPM and PERT depend on the experiences of project manager, which is not true in railway construction project. A huge deviation occurs between the actual progress and planned schedule. This leads to unreasonable allocation of resources and cost increment. Referring to the characteristics of schedule planning of railway construction projects, we proposed schedule planning conceptual model of railway construction project based on CAS. The model consists of three parts. They are master schedule, forecasting planning and operational planning. Forecasting planning is produced by master schedule and adjusted by operational planning dynamically. In addition, RBF neutral network is employed to improve the accuracy of master schedule. The paper provides novel viewpoint and idea for project management of railway construction.
A Weak Current Detection Circuit Design of Organophosphorous Pesticides Rapid Detection Portable Instrument
Authors: Sun Xia , Wang Xiang You , Du Shu Yuan , Zhu Ying
Published: December 2011

In this paper, a weak current detection circuit is designed for developing organophosphorous pesticides rapid detection portable instrument. The detection principle is based on the electrochemical characteristic of enzyme catalyzing substrate of acetylcholinesterase biosensor for detecting pesticide residues. Based on the behavior of cyclic voltammograms (CV) of the acetylcholinesterase biosensor, the data acquisition and processing circuit of the weak current signals generated by the biosensor is designed, which including the I/V conversion, differential amplification , low-pass filter, A/D conversion etc. Eventually, the 0~5V voltage signal are obtained and they are proportional to the weak current from the enzyme biosensor. The designed detection circuit has a good consistence compared with electrochemical analysis instrument, which can establish a good base for developing organophosphorous pesticides rapid detection portable instrument.
An Extended Belief Network Approach for Keyword-Based Search over PLM Databases
Authors: Tu Jun Xiang
Published: December 2011

Relational databases in PLM (product lifecycle management) system are commonly searched using structured query languages. The user needs to know the data schema to be able to ask suitable queries. In contrast, the IR (information retrieval) community has popularized keyword-based search that allows users to use keywords to access unstructured data. In this paper, we integrate IR techniques with structure data search and present an approach for querying PLM databases using keywords. This approach has two significant novel features: an ontology-based query expansion and dealing with semantic uncertainty of keywords based on extended belief network. We applied this approach to a practical PLM database to verify the usefulness of the proposed method.
An Intelligent System of Mobile Publishing
Authors: Chen He Jie , Hua Yu Hong
Published: December 2011

With the rapid development of Internet and mobile telecommunication technology, more and more people use mobile terminal to reading. The rapid development of mobile reading promoted the mobile publishing industry development. But there is no authoritative definition of mobile publishing chain. This paper firstly presented a kind of mobile publishing industry chain according to our research. The mobile publishing industry chain has changed from the original single-chain into a reversed chain. And the paper introduced some crucial problem of mobile Publishing. At last, the paper presented an intelligent system of mobile publishing implemented semantic–based service composition.
An Appraisal of Stability of a Highway Retaing Wall on a Reservoir Bank
Authors: Shen Yu Peng , Dong Shu Hai , Liu Yong Pin
Published: December 2011

This paper explores the post-Wenzhou earthquake destruction characteristics of the Zipingpu reservoir highway retaining wall and examines influences such as the type of retaining wall, location of retaining wall, and retaining wall design process in the disaster area. The results show that during high intensity earthquakes, the use of flexible reatining methods such as anchor cables and soil nails suitably adds fortification intensity to retaining walls located on buried faults. In addition, in high intensity earthquake areas, the highway section of the curve (especially in the reture curve) must be taken into account earth pressure calculations. Dirt retaining walls are widely used, but in cases in which other designs are used in substitution of the function of dirt retaining walls, determinations must be made regarding the economic efficiency, and technology. Dirt retaining wall loads only calculate for the permanent load and the base variable load, so with respect to earthquake regions where peak value speeds are above 0.2 g, other calculations
A Storage Scheme for Fast Packet Buffers in Network Processor
Authors: Shi Jiang Yi , Chen Kun , Li Kang , Di Zhi Xiong
Published: December 2011

With the Internet services increased explosively, the requirement for network bandwidth is rigorous. Upon the extraordinary development of process capability, Memory access control has become a key factor that impacts the performance of network processor. The paper proposed a storage management for fast packet buffers in network processor, which can enhance the utilization of bandwidth. Experiment results shows that this approach improved the rates of accessing to memory system in network processor remarkably.
The Research on the Action Modes of Laser Shock Wave Affected by Different Confinement Overlays
Authors: Hua Yin Qun , Chen Rui Fang , Ye Yun Xia , Liu Hai Xia
Published: December 2011

The liquid confinement medium (LCM) and the free confinement medium (FCM) made by ourselves were used as confinement overlays of laser shock processing (LSP) respectively, stainless steel 304 was shocked by Nd:Glass laser. The parameters of LSP are the wavelength of 1.06μm, the pulse duration of 20ns, and output energy of 35~40J. The laser was focused on a spot of Ф5mm. Firstly, the profiles of shocked regions of samples were measured by Taylor Hobson admeasuring apparatus, in which two different confinement mediums are used by LSP. Secondly, the ruinous behavior of the free confinement overlays induced by laser shock wave is observed and analyzed. Analyzed and compared with the experiments results, it is discovered that the effects of LSP are different with using different confinement mediums.
Design and Implementation of Safety Protection System for Water-Cooled Magnet of Steady High Magnetic Field Facility
Authors: Li Yun Fei , Wu Zhong Cheng , Shen Fei , Wu Hai Feng , Shen Chun Shan
Published: December 2011

Steady high magnetic field facility(SHMFF) provides the experimental environment of stable high magnetic field for scientific research. The core of SHMFF is a water-cooled magnet (WM) whose working condition is very rigorous. A kind of safety protection system (SPS) is needed to make sure that the WM could automatically enter safe state when working abnormally. This paper puts forward the strategy of protection for WM of SHMFF based on the way of detecting the resistance of WM’s coil, and explains the design and realization of SPS based on LabVIEW. Test results show that the SPS realized has good performance.
TD / GSM History of Adjacent Areas to Optimize Selection Algorithm
Authors: Xiang Zhuo Yuan , Li Ying , Tang Zhi Tao
Published: December 2011

In the current neighborhood switching algorithm, the mobile device to the adjacent areas of all measured signals, switching delay resulting connection may be lost, adjacent areas of rapid change as a key commercial TD. Adjacent areas based on the choice of optimization algorithm to switch at some stage in the database area of the district the highest success rate statistics, and dynamically adjust the priority of the cell sorting to select the optimal cell handoff history. The algorithm can reduce the search time measured adjacent areas, thereby reducing the overall process of switching delay.
The Method to Diminish Data Delivered by Sensor in Wireless Sensor Network
Authors: Liu Xiang Li , Li Zan , Si Jiang Bo , Hao Ben Jian
Published: December 2011

Severe energy constraints and limited computing abilities of the nodes in a network present a major challenge in the design and deployment of a wireless sensor network. This thesis aims to present energy efficient algorithm for data delivery in a sensor network. The methodology of data delivery presented in this thesis is based on affine transform and performs coordination compression. Experimental results show that the algorithm can reduce about half of the data amount delivered by the sensor.
Electrochemical Properties of FeNiMm Electrodes for Hydrogen Evolution in Alkaline Solutions by VIM Technique
Authors: Wang Jing , Zang Chuan Wei
Published: December 2011

The FeNiMm (Mm = rare earth metals) electrodes have been successfully prepared by vacuum induction melting (VIM) technique and used to be active cathodes in chlor-alkali industry for the first time. The alloys are found that Mm content and Fe content has significant impact on the polarization characteristics of the FeNiMm electrodes. With the increasing of Mm content, the η200 change a little but the apparent exchange hard, and increasing the content of Fe and decreasing the content of Mm will have a negative effect on the electrocatalytic performance. Fe84.50Ni7.72Mm7.72 was found to yield the highest intrinsic electrocatalytic activity. On the power interruption term, the cathodes exhibit excellent resistivity against repeated power interruptions.
Parameter Identification of Time Varying System Using Basic Function Expansion
Authors: Chen En Wei , Lu Yi Min , Liu Zheng Shi , Wang Yong
Published: December 2011

Time-varying parameters identification in linear system is considered, which can be changed into time-invariant coefficient polynomials after Taylor expansion. Using response data to establish the time-varying autoregressive moving average (TV-ARMA) model, then utilizing least-square algorithm to obtain time-invariant coefficients of time-varying parameters. According to error analysis, to reduce errors and improve accuracy, the estimation time is divided into small internals and the above method is used in each interval. Simulation shows that, under certain error condition, the time-varying parameters obtained by the method have good agreement with the theoretical values; the measures taken have strong anti-interference and high efficiency.
Image Registration of CT and DR Based on Improved SUSAN
Authors: Han Ping , Xu Bai Sen
Published: December 2011

The paper completes image registration of medical CT and DR through improved SUSAN algorithm. First, the paper divides the image into a certain number of anatomical point regions with some significance, and sets different grayscale D-value for different regions to make corners distribute equably. Second, the paper uses the size of the USAN from limited corner regions to reduce the number of corners and the computation. Then the paper adopts confidence algorithm, find the correct match points by setting threshold, and thus completes image registration.
Concurrent Engineering Based Vehicle Development Project Management
Authors: Li Yu Bing
Published: December 2011

Concurrent engineering has been used in many OEMs in order to face up to the fierce competition situation. Modular development teams develop common modules which are applied in the same platform-based variants and its product family in order to save design costs and reduce development time. The R&D department should construct a concurrent engineering team to quicken the pace of new product development and to ensure product quality by means of open-loop and close-loop cycle, and frame a platform to frequent communication and quick decision for the concurrent engineering team.
Design of Dual Field of View and Zoom Infrared Optical System
Authors: Li Ying Chao , Zhang Yuan Jian
Published: December 2011

A dual field of view and zoom infrared optical system with uncooled infrared staring focal plane arrays is designed in this paper. The operating waveband of the system is 8～12μm, and zoom radio is 3×. The optical configuration is based on the axial motion of a lens group along the optical axis. Optical material used infrared monocrystalline silicon、Znse, In order to achieve high performance、high image quality, used two even aspheric surfaces in this system. The advantages of this system are the high imaging quality、small volume、light weight.
Research on VR-Based Experiment Space for Complex Electromagnetic Environment
Authors: Zhang Chi Jun , Liu Wang Sheng
Published: December 2011

Virtual Reality technology is a hot research field in simulation of complex electromagnetic and its practical environment in the condition of information and high technology war. The paper discussed the main framework of spatial electromagnetic environment computing and simulating, presented realizing method and key arithmetic designing based on Virtual Reality Modeling Language. The work is evidently valuable for quantitative examinations, evaluation, and analysis of complex electromagnetic environment function, diversification, and effect on human beings, electronic units.
The Kinematics Mathematical Model of the Impulse Electro Flotation
Authors: Deng Xiao Gang , Zhang Xian Ming
Published: December 2011

Through the characteristics of the Impulse electro flotation Wastewater treatment equipment, the factors which affect the efficiency of this technology are analyzed. According to the Kinematical theory of flocculation process, the free particle flotation removal model is established used in the way how the steel ball model is simplified. , and the variable process of the concentration of the free particle along with the time is stimulated to be obtained. This mathematical model has the theoretical reason of how to choose the electric flotation parameters and design of the electric flotation treatment equipments. The result proves that when the treatment time is between 20 to 25 min., the removal rate of the free particles will achieve to above 90%, which is similar to the experiment data.
The Quasi One-Time Pad Encryption Communication Based on Quantum Key Distribution
Authors: Wang Yan Bo , Wang Rong , Zhu Yong , He Min , Wang Xiao , Guan Yu
Published: December 2011

For the lack in distance and speed of the current quantum key distribution (QKD) technology, Designed a point-to-point and network encryption communication scheme by quasi one-time pad based on QKD and segment QKD respectively, propose a method of making plaintext is invisible in relay nodes.
Study on Multiple Objective Decision-Making of ERP Implementation Based on OWA and Grey Target Theory
Authors: Chen Ya Li , Huang Tao Zhe
Published: December 2011

The successful implementation of ERP is crucial to the development of enterprises. Key factors of successful implementation and enterprise target are closely related, and the decision of final enterprise target may greatly improve the implementation effect. By combining OWA operator and grey target theory, this paper exhibits the steps of how to do mathematical analysis on target selection and make judgments on the different objectives when implementing ERP.
A Practical Tool for Multiple Simulation Tasks of Gas Engine
Authors: Wang Li Feng
Published: December 2011

A practical tool for multiple simulation tasks of gas engine has been developed in order to meet the needs coming from factory, institute and academic for research & develop platform. In the tool, not only can aircraft engine and ship engine be visually modeled and all of data can be setup in the window, but also different simulating tasks can be completed, such as flight performance, linear state space model, transient & fault simulating and gas path analysis. The objective of this paper is to provide the comprehensive overview of multiple simulation tasks of gas engine.
Design and Simulation of New Zero-IF Receiving Circuit
Authors: Wang Peng , Liu Kun , Li Min Quan
Published: December 2011

Compared to superheterodyne receiving circuits, the Zero-IF receiving circuits is featured by simple structure, integration accessibility to miniaturization and No image frequency interference, which saves the image frequency suppression filter with both high cost and low integration accessibility. The signal channel in Zero-IF receiving circuit can be set in low frequency and only a low-pass filter is thus needed. However, the native defects in Zero-IF receiving circuits, such as DC drift, LO leakage and LF Noise, lead to constant failures in achieving the Zero-IF. Therefore, by analysing these defects, two principal improvements are made in the design of a certain 915MHz mobile communication terminal receiving circuits, based on which the simulation design is completed and its feasibility and rationality have been theoretically verified through simulation softwares ADIsimRF and ADS.
Short Time Fourier Transform Analysis of Multi-Component Nonstationary Acoustic Signal
Authors: Gao Zhi Bin
Published: December 2011

In order to extract major components of signal, multi-component nonstationary acoustic signal was analyzed with time-frequency analysis technique. By transforming multi-component nonstationary acoustic signal from time domain to time-frequency domain with short time Fourier transform, major components were determined according to spectrogram. Results show that major components and its time-frequency characteristic parameters can be extracted exactly. Short time Fourier transform is an effective method for extracting major components of nonstationary acoustic signal.
Research of Filtering Method for ESPI Fringe Patterns
Authors: Wang Yong Hong , Zhou Hua Long , Li Nan , Yang Lian Xiang
Published: December 2011

The Electronic Speckle Pattern Interferometry (ESPI) is a widely used technique for measurement displacement and deformation. But the fringe phase pattern of ESPI always comes with large noise when using phase-shifting technique. In order to ensure the accuracy of the measurement, it is very important to eliminate the noise of the phase fringe pattern. This paper introduced a phase filtering method, comparing with traditional methods, which can be found is a simple and effective method, and the experimental results have shown that the method was feasible used for image processing of ESPI fringes．
Life Cycle Cost Analysis of the Fuel Cell Bus Based on Chinese Bus Cycle
Authors: Chen Rui , Wang Ning , Ma Jun
Published: December 2011

During the project: Electric Hybrid Proton Exchange Membrane (PEM) Fuel Cell Transit Buses in China, the authors set up a model to calculate the life cycle cost of fuel cell bus (FCB). The model includes acquisition cost, fuel consumption cost and maintenance cost. In addition, the authors also take the government subsidies into account. After calculating, we see the cost of fuel cell is the most sensitive part of FCB life cycle cost. Using the model, we compared different bus life cycle costs. The result shows that FCB life cycle cost is 5 times more than the current diesel bus.
Rubber Extruder Present Situation and Developing Trend of History
Authors: Bi Jun Xi , Li Jin Feng , Wang Li Qin , He Xiang Xin , Gan Shi Ming
Published: December 2011

Brief introduction the development history of extruder. The production status of the extrusion at domestic and foreign, and the development trend of the extruder in this paper.
Application of Principal Component Analysis in Water Quality Evaluation by SPSS Software
Authors: Gu Jun Fang , Zhu Chang Jun , Hao Zhen Chun
Published: December 2011

In view of the defect of traditional water quality evaluation model, principal component analysis method is developed to evaluate surface water quality in Baoying country. By SPSS software, principal component model is applied to evaluate water quality at representative sections in Baoying surface area. Principal component analysis is a way to reduce orginal dimension, to make multiple variables inti a few comprehensive index. By the combination of variables index, adjusting the combinatorial coefficient to make the new variables representative independent. The process is introduced in the paper in detail.The results indicate that principal component model is suitable for water quality evaluation. By analysis, it is important to pay attention to bring into effective measures for pollution control.
Task Scheduler Based Design of Software Architecture for Distributed Timed Automata in Safety Critical Systems
Authors: Namjoshi Yogendra
Published: December 2011

The paper revisits the approach of distributed timed automata in order to improve and optimize the methodology used in order to increase the availability of a safety critical system and implements using embedded real time task scheduler. A double wheel counter or digital axle counter system, a typical safety critical system that is used in solid state based railway signaling systems, is considered for achieving higher availability under certain failures. The improvement in the software architecture is influenced by the theory of task scheduler of real time operating system.
Mobility Based Performance Analysis DYMO, STAR and DSR Adhoc Routing Protocols
Authors: Nand Parma , Sharma S.C.
Published: December 2011

The wireless adhoc network is comprised of nodes (it can be static or mobile) with wireless radio interface. Each host is equipped with a CSMA/CA (carrier sense multiple access with collision avoidance) transceiver. These nodes are connected among themselves without central infrastructure and are free to move around. It is a multihop process because of the limited transmission range of energy constrained wireless nodes. This creates the scenario of multihop, where the packets originated from the source host are relayed through several intermediate hosts before reaching the destination. Routing is the process of finding a path from a source to destination among randomly distributed routers in dynamic network. In this paper table driven routing protocol STAR and on demand routing protocols DSR, DYMO based on IEEE 802.11 are surveyed and characteristic summary of these routing protocols is presented. Their performance is also analyzed on performance metrics throughput, jitter, data delivery ratio and end-to-end delay by varying nodes mobility with CBR data traffic load using QualNet 5.0.2 network simulator.
Application of Artificial Neural Network in the Modeling of Skidding Time Prediction
Authors: Naghdi Ramin. , Ghajar Ismaeil.
Published: December 2011

Correct skidding time prediction and having precise information about the efficiency of skidding system rescues in a high quality of harvesting in a variable conditions of woodlands. This paper represents one of the Artificial intelligence methods, that is called Artificial Neural Network (ANN), for creating the predicting time model of wheeled skidder Timberjack 450C. The study of components of project has been done by continuous time study method. Effective factors on time of skidding were: skidding distance, skidding slope, winching distance, number of logs, and volume of load. In the present study, the time of 105 skidding cycles were investigated and used as the training data for neural network. The determination coefficient and the root mean square error for the best trained network were, 71% and 0.1778, respectively. The results showed that ANN provides a good accuracy for estimating the time of one cycle skidding time.
Comparison of Artificial Neural Network Models and Multiple Linear Regression Models in Cargo Port Performance Prediction
Authors: Jayaprakash P.Oliver , Gunasekaran K. , Muralidharan S.
Published: December 2011

Cargo ports operational performance was specified typically through revenue earned, quantum of cargo handled and number of ships serviced. It was predisposed by infrastructural facilities and cargo handling rate; it had an effect over pre-berth waiting time of vessels waiting and berthing time of ships at a port. An Indian port’s ship movement and port operational characteristics had been studied for five years (2005-2009). Ship’s service time was the crucial parameter used to quantify the port performance. This paper focused on building an artificial neural network technique based model to illustrate the relationship between service time and port operational characteristics. Validations of ANN model, comparing multiple linear regression model outputs were reported.
Automatic Electrocardiographic Analysis Using Artificial Neural Network Models
Authors: Hanumantha Rao T.V.K. , Mishra Saurabh , Singh Sudhir Kumar
Published: December 2011

In this paper, the artificial neural network method was used for Electrocardiogram (ECG) pattern analysis. The analysis of the ECG can benefit from the wide availability of computing technology as far as features and performances as well. This paper presents some results achieved by carrying out the classification tasks by integrating the most common features of ECG analysis. Four types of ECG patterns were chosen from the MIT-BIH database to be recognized, including normal sinus rhythm, long term atrial fibrillation, sudden cardiac death and congestive heart failure. The R-R interval features were performed as the characteristic representation of the original ECG signals to be fed into the neural network models. Two types of artificial neural network models, SOM (Self- Organizing maps) and RBF (Radial Basis Function) networks were separately trained and tested for ECG pattern recognition and experimental results of the different models have been compared. The trade-off between the time consuming training of artificial neural networks and their performance is also explored. The Radial Basis Function network exhibited the best performance and reached an overall accuracy of 93% and the Kohonen Self- Organizing map network reached an overall accuracy of 87.5%.
Optimal Model of Resource Planning for Collaborative Logistics Network Considering Robust Constraints
Authors: Xu Xiao Feng , Zhao Jin Lou , Song Jie Kun
Published: December 2011

Uncertainty factors which influence the resource plan for collaborative logistics network, is the completely uncertain problem that parameter status and probability distribution are unknown, but traditional plan methods can’t ensure the robustness of plan implementation. Based on robust optimal control, the paper carries on simulation about uncertain parameters with Monte Carlo method, and proposes a expected model of robust restraint, the robustness constrains realizes to contract the feasible region and improve robustness of model. Finally, The simulation results illustrate the validity of the improved model.
Research on Evaluation Model of Engineering Equipment Supportability in Operating Phase
Authors: Zhang Ming , Yu Jiang , Qi Chun Ying , Huo Xiao Qiang
Published: December 2011

According to the special characteristics of engineering equipment supportability in operation phase, we establish a completed parameter index system. Based on the fuzzy mathematics theory, we establish the single-factor parameter index assessment model of engineering equipment supportability in operating phase. And based on the neural network theory, we design the comprehensive assessment model. These models offer an effective method for the assessment of engineering equipment supportability in operation phase. The engineering equipment in operating phases of this paper is defined as: engineering equipment, perform and the process of combat mission.
The Production Scheduling Problem of Aluminum Casting Based on Theory of Constraints
Authors: Peng Pin , Chen En Hu
Published: December 2011

Based on explaining characteristics of aluminum production process and management, this paper built a production scheduling model of the aluminum casting with its equipment constrains and process constraints, discussed the optimization strategy of the production scheduling for aluminum casting.
Adaboost Ensemble Data Classification Based on Diversity of Classifiers
Authors: Thammasiri Dech , Meesad Phayung
Published: December 2011

In this research we propose an ensemble classification technique based on decision tree, artificial neural network, and support vector machine models weighting classifier by adaboost in order to increase classification accuracy. we used a total of 30 classifiers. The technique generated random data used Bootstrap. Testing Diabites Data from UCI, classification accuracy tests on Diabites Data found that the proposed ensemble classification models weighting classifier by Adaboost yields better performance than that of a single model with the same type of classifier. The result as follows, Diabites Data achieved the best performance with 75.21%. we can conclude that there are two essential requirements in the model. The first is that the ensemble members or learning agents must be diverse or complementary, i.e., agents must exhibit different properties. Another condition is that an optimal ensemble strategy is also required to fuse a set of diverse by AdaBoost.
Improve Abstract Data with Feature Selection for Classification Techniques
Authors: Nuipian Vatinee , Meesad Phayung , Boonrawd Pudsadee
Published: December 2011

A universal problem with text classification has a problem due to the high dimensionality of feature space, e.g. word frequency vectors. To overcome this problem, this paper proposed a feature selection which focuses on statistical pattern based on SVM Attribute. Experiments have shown that the determination of word importance may increase the speed of the classification algorithm and save their resource used significantly. The proposed method was studied by comparing classification performance among Decision Tree, Naïve Bayes, and Support Vector Machine. The results showed that Support Vector Machine was found to be the best algorithm with F-measure 93.6%. It is found that the feature selection can reduce dimensionality of data significantly.
Studies on Capacitive Switch Model Based on W-EFG
Authors: Deng Z.L. , Zhang D.B. , Liu W.L. , Huang J.M.
Published: December 2011

Based on a wavelet multi-scaling function for the shape functions of meshless method - Galerkin method (W-EFG), study the key parameters Pull-in of a multi-scale structure of the capacitive switch. Based on the wavelet multi-scale approximation which is applied in error estimation and adaptive algorithm for the solution process, the singularity of the solution space can be detected easily in the model. The higher order approximation subspace of wavelet ,the more accurate approximation of the true solution.
Modeling of Doped ZnO Waveguides for Nonlinear Applications
Authors: Mohan Rosmin Elsa , Sreelatha K.S. , Sivakumar M. , Krishnashree A.
Published: December 2011

In this paper, the modeling investigations of ZnO planar waveguides with varying refractive indices are quoted. The nature of field mode propagations highlights the nonlinear nature of ZnO. The field distributions of the doped structure are also considered and compared. We have focused on the 600-1200 nm wavelengths of the input beam, where nonlinear effects for ZnO are observed to be at their prime. It is observed that the mode distributions in the doped structure define solitary pulse propagation in itself.
Prediction on Fund Volatility Based on SVRGM-GARCH Model
Authors: Geng Li Yan , Liang Yi Gang
Published: December 2011

GM-GARCH model is a new hybrid volatility model which integrates grey forecasting model (GM (1,1)) into GARCH model. As for the limitation of the parameters estimation algorithm of GM (1,1) model, a SVRGM-GARCH model is established to enhance volatility forecasting performance further. Firstly, support vector machines for regression (SVR) is utilized to estimate the parameters of GM (1,1) model (SVRGM). Then, the SVRGM model is used to modify the random error term sequence of GARCH model. An empirical research is performed on SSE Fund Index and SZSE Fund Index. The result shows that the SVRGM-GARCH model outperforms the GM-GARCH models and GARCH model, which indicates the model proposed in this study is an effective method for volatility forecasting.
Self Powered Wearable Health Monitoring System
Authors: Singh Harkanwal , Lalchand Choudhary Mayur
Published: December 2011

For consistent remote health monitoring to be realized, power source must be independent of time factor. We require small, inexpensive, ubiquitous sensors to be realized, all constituents of the device, including the power source, must be directly integrable. For long term application the device must be capable of scavenging power from its surrounding environment. An apparent solution lies in conversion of mechanical energy produced by body movements to electrical energy. Here, we propose a health monitoring system utilizing energy scavenging from body movements for signal transmission through wireless antenna.
Design and Fabrication of an Autonomous Mobile Robot for Obstacle Avoidance and Path Planning in Partially Known Environment
Authors: Sharma Deep , Dwivedy S. K.
Published: December 2011

In this paper, an autonomous mobile robot has been designed and fabricated which can be used in both indoor and outdoor for industrial and household applications. Here using six servo motors and four DC motors with their controllers (servo controller and L293D DC Motor controller) the mobile robot can pick any object from its workspace and by avoiding collision it can place the object in the desired location. ASCII ultrasonic sensor and motion sensor are used along with ATmega 2560 microcontroller which is programmed to take the sensors output as its input and controls the dc motor and servo motors to pick and place objects and avoid obstacle during motion of the mobile robot. Here low-cost solar panels have been used to recharge the Li-ion batteries used for the motors and microcontroller in case of outdoor environment. The obstacle avoidance and path planning algorithms have been developed and a case study has been presented in this paper.
Idea Generation Algorithm Based Systems
Authors: Jogalekar Usha A. , Mangla Akhil
Published: December 2011

Parallel algorithms and parallel processing have revolutionized the machine’s performance and output efficiency. Parallel Random Access Machines are being used excessively for complex input processing and effective output data generation. PRAM algorithms are a class of algorithms defined for parallel computation in polynomial time complexity. Thought process is one of the key procedure that distinctly identifies humans rather animals from machines. Machines proposed to be effective computers have failed when it has come in light to learn and produce new ideas. The study here proposes the Idea Generation Algorithm with all necessary details. The algorithm uses parallel set of processors with a systolic array for data processing. The recognition of optimal output based on the associated weights and the feedback provided by to self-organizing neural network. The network provided with an unsupervised learning is proposed to provide the machine with its own set of ideas thus resulting in achievement of “thought process” in Machines. The algorithm stands as a template for any thought process development and identification in machines. Any system with capability and use of idea generation algorithm shall be with inherent learning and intelligence.