bluuebunny/crossref_metadata_2025 huggingface dataset:
Analytical Solution for the Nonlinear Dynamics of Planetary Gears
Authors: Bahk Cheon-Jae , Parker Robert G.
Published: December 2010

Planetary gears are parametrically excited by the time-varying mesh stiffness that fluctuates as the number of gear tooth pairs in contact changes during gear rotation. At resonance, the resulting vibration causes tooth separation leading to nonlinear effects such as jump phenomena and subharmonic resonance. This work examines the nonlinear dynamics of planetary gears by numerical and analytical methods over the meaningful mesh frequency ranges. Concise, closed-form approximations for the dynamic response are obtained by perturbation analysis. The analytical solutions give insight into the nonlinear dynamics and the impact of system parameters on dynamic response. Correlation between the amplitude of response and external torque demonstrates that tooth separation occurs even under large torque. The harmonic balance method with arclength continuation confirms the perturbation solutions. The accuracy of the analytical and harmonic balance solutions is evaluated by parallel finite element and numerical integration simulations.
Fractional Optimal Control Problems With Specified Final Time
Authors: Biswas Raj Kumar , Sen Siddhartha
Published: December 2010

A constrained dynamic optimization problem of a fractional order system with fixed final time has been considered here. This paper presents a general formulation and solution scheme of a class of fractional optimal control problems. The dynamic constraint is described by a fractional differential equation of order less than 1, and the fractional derivative is defined in terms of Riemann–Liouville. The performance index includes the terminal cost function in addition to the integral cost function. A general transversility condition in addition to the optimal conditions has been obtained using the Hamiltonian approach. Both the specified and unspecified final state cases have been considered. A numerical technique using the Grünwald–Letnikov definition is used to solve the resulting equations obtained from the formulation. Numerical examples are provided to show the effectiveness of the formulation and solution scheme. It has been observed that the numerical solutions approach the analytical solutions as the order of the fractional derivatives approach 1.
A Penalty Formulation for Dynamics Analysis of Redundant Mechanical Systems
Authors: Ruzzeh Bilal , Kövecses József
Published: December 2010

Redundancy in the constraining of mechanical systems achieves more stability and larger load capacity for the system, while in actuation it provides better robustness against singularities and higher maneuverability. Few techniques have been developed with the aim to handle redundancy and singularities in dynamics analysis, and further research is still needed in this area. In this paper, we illustrate the concept of actuating and passive constraints. Then, we expand on the existing penalty techniques by incorporating the concept of actuating and passive constraints to present a penalty formulation that is capable of efficiently handling singularities and redundancy in constraining and actuation and can carry out either forward or inverse dynamics analysis of mechanical systems. As such, the proposed approach is referred to as the actuating-passive constraints penalty approach.
Multiscale Characterization of Spatial Heterogeneity in Multiphase Composite Microstructures
Authors: Tschopp M. A. , Wilks G. B. , Spowart J. E.
Published: December 2010

A computational characterization technique is presented for assessing the spatial heterogeneity of two reactant phases in a three-phase chemically reactive composite. This technique estimates the reaction yield on multiple microstructure length scales based on the segregation of the two reactant phases and the expected reaction stoichiometry. The result of this technique is a metric, quantifying the effectiveness of phase mixing in a particular microstructure as a function of length scale. Assuming that the proportionate mixing of reactant phases on multiple length scales will enhance reaction kinetics and the overall level of reaction completion, this tool can subsequently be used as a figure-of-merit for optimizing microstructure via appropriate processing. To illustrate this point, an example is shown where a bimodal three-phase microstructure has a higher reaction yield at every length scale when compared with a monomodal three-phase microstructure with the same constituent loading.
Mechanisms of Bimaterial Attachment at the Interface of Tendon to Bone
Authors: Liu Yanxin , Birman Victor , Chen Changqing , Thomopoulos Stavros , Genin Guy M.
Published: December 2010

The material mismatch at the attachment of tendon to bone is among the most severe for any tensile connection in nature. Attaching dissimilar materials is a major challenge in engineering, and has proven to be a challenge in surgical practice as well. Here, we examine the material attachment schemes employed at this connection through the lens of solid mechanics. We identify four strategies that the body adopts to achieve effective load transfer between tendon and bone: (1) a shallow attachment angle at the insertion of transitional tissue and bone, (2) shaping of gross tissue morphology of the transitional tissue, (3) interdigitation of bone with the transitional tissue, and (4) functional grading of transitional tissue between tendon and bone. We provide solutions to model problems that highlight the first two mechanisms: discuss the third qualitatively in the context of engineering practice and provide a review of our earlier work on the fourth. We study these strategies both in terms of ways that biomimetic attachment might benefit engineering practice and of ways that engineering experience might serve to improve surgical healing outcomes.
On Microstructure Evolution in Fiber-Reinforced Elastomers and Implications for Their Mechanical Response and Stability
Authors: Lopez-Pamies Oscar , Idiart Martín I. , Li Zhiyun
Published: December 2010

Lopez-Pamies and Idiart (2010, “Fiber-Reinforced Hyperelastic Solids: A Realizable Homogenization Constitutive Theory,” J. Eng. Math., 68(1), pp. 57–83) have recently put forward a homogenization theory with the capability to generate exact results not only for the macroscopic response and stability but also for the evolution of the microstructure in fiber-reinforced hyperelastic solids subjected to finite deformations. In this paper, we make use of this new theory to construct exact, closed-form solutions for the change in size, shape, and orientation undergone by the underlying fibers in a model class of fiber-reinforced hyperelastic solids along arbitrary 3D loading conditions. Making use of these results, we then establish connections between the evolution of the microstructure and the overall stress-strain relation and macroscopic stability in fiber-reinforced elastomers. In particular, we show that the rotation of the fibers may lead to the softening of the overall stiffness of fiber-reinforced elastomers under certain loading conditions. Furthermore, we show that this geometric mechanism is intimately related to the development of long-wavelength instabilities. These findings are discussed in light of comparisons with recent results for related material systems.
Shil’nikov Analysis of Homoclinic and Heteroclinic Orbits of the T System
Authors: Van Gorder Robert A. , Choudhury S. Roy
Published: December 2010

We study the chaotic behavior of the T system, a three dimensional autonomous nonlinear system introduced by Tigan (2005, “Analysis of a Dynamical System Derived From the Lorenz System,” Scientific Bulletin Politehnica University of Timisoara, Tomul, 50, pp. 61–72), which has potential application in secure communications. Here, we first recount the heteroclinic orbits of Tigan and Dumitru (2008, “Analysis of a 3D Chaotic System,” Chaos, Solitons Fractals, 36, pp. 1315–1319), and then we analytically construct homoclinic orbits describing the observed Smale horseshoe chaos. In the parameter regimes identified by this rigorous Shil’nikov analysis, the occurrence of interesting behaviors thus predicted in the T system is verified by the use of numerical diagnostics.
International Conference on Advanced Computer Theory and Engineering (ICACTE 2009)
Authors: Yi Xie
Published: December 2010

The ICACTE 2009 was organized to gather members of the international community of Computer Theory and Engineering scientists so that researchers from around the world could present their leading-edge work, expanding our community's knowledge and insight into the significant challenges currently being addressed in that research.
Robust Constrained LSCMA in the Presence of Signal Steering Vector Mismatches
Authors: Song Xin , Wang Bin , Wang Jinkuan , Han Yinghua
Published: December 2010

In practical applications, adaptive beamformers can suffer significant performance degradation in the presence of the even slight mismatch between the actual and assumed signal steering vectors. In this paper, a novel robust constrained LSCMA is proposed based on explicit modeling of uncertainties in the desired signal array response. The proposed algorithm provides excellent robustness against the signal steering vector mismatches, improves the array system performance and makes the mean output array SINR consistently close to the optimal one. Computer simulations demonstrate substantial performance improvements of the proposed algorithm compared as linear constrained LSCMA algorithm.
Evaluation for Cylindricity Errors Based on a Particle Swarm Optimization Algorithm
Authors: Zhang Ke
Published: December 2010

According to the analysis of existent evaluation methods for cylindricity errors, an intelligent evaluation method is provided. The evolutional optimum model and the calculation process are introduced in detail. Based on the characteristics of cylindricity error evaluation, Particle Swarm Optimization (PSO) is proposed to evaluate the minimum zone error. Compared with conventional optimum methods, it can find the global optimal solution, and the precision of calculating result is very good. Then, the objective function calculation approaches for using the PSO to evaluate minimum zone error are formulated. Finally, the control experiment results evaluated by using different methods indicate that the proposed method does provide better accuracy on cylindricity error evaluation and it has fast convergent speed. The evaluation method can also be extended to other form errors.
Intelligent ABS/GPS Integration for Land Vehicle Navigation
Authors: Banizaman Hamed , Torab Ali , Safavi Ali Akbar
Published: December 2010

GPS provides consistently accurate positioning solutions if four or more GPS satellites can be observed. Unfortunately, this condition is usually not satisfied. ABS (Antilock Brake System) Navigation System consists of self-contained optical encoders mounted on a vehicle wheels that can continuously provide accurate short-term positioning solutions. In this paper, a new concept regarding GPS/ABS integration, based on intelligent method is presented. A fuzzy system is used to identify GPS position accuracy based on environment and vehicle dynamic knowledge. The GPS is used as reference during the time it is in a good condition and replaced by ABS positioning system when GPS information is unreliable. The MATLAB simulations manifested that the proposed algorithm improves the location precision and the tracking capability.
Modeling and Simulation of Gate-Cathode Junction of a Thyristor with Amplifying Gate and Emitter Shorts
Authors: Zekry Abdel Halim A. , Sayah Gihan T.
Published: December 2010

In this work a model is developed for the gate-cathode junction of a power thyristor containing an amplifying gate and emitter shorts. The geometry of this junction and the model parameters are defined and extracted according to a new methodology. The simulation results are compared with the measured results. It has been found that the developed model satisfactorily describes the performance of the gate-cathode junction of practical thyristors.
On-Line a Predictive Model of Cutting Force in Turning with 3 Axis Acceleration Transducer Using Neural Network
Authors: Asiltürk İlhan , Yilmaz Nihat
Published: December 2010

In this study cutting forces prediction was modeled using back propagation (BP) neural network algorithm. Experimental turning dataset is used in this study to train and evaluate the model. The Input dataset includes speed, feed rate, depth of cut, vibration levels along the three axes on tool holder (ax,ay,az). The Output dataset includes feed force, vertical force, and radial force. Marginally acceptable results were given by early experiments of this study and when data was examined, high non-linearity can be seen from the prepared graphic. In the previous work, a fine development of reliability of predicting the cutting forces can be observed by the help of results. To compare the estimated results of cutting force from this method with the cutting force signal can be measured directly by dynamometer; it is found that the difference between measured and estimated cutting forces is less than 0.2% in all case.
A User-Oriented Web Services Composition Based on Service Mapping Mechanism
Authors: Li Yiqiang , Zhu Zhiliang , Dai Yu , Zhang Bin
Published: December 2010

How to establish composite service in a just-in-time manner and allow users to configure their applications conveniently becomes a hot issue in the research area of web services composition. This paper proposes an approach of user-oriented service composition. The approach is centered on the proposed 3-level web service mapping mechanism. Based on such mechanism, a hierarchical composing structure is proposed which includes user-defined composition, system-supported composition and instance-oriented composition. By a prototype and experiments, the feasibility of the proposed approach is verified.
A Novel Sensor Selection Algorithm in Sensor Network Tracking Based on AHP and Fuzzy Control
Authors: Wu Jingjing , Guo Lei , Peng Yuhuai , Song Qingyang , Wang Xingwei , Li Yan
Published: December 2010

Most existing work on sensor network target tracking concentrates on sensor selection solely based upon one characteristics such as the sensor position or sensing modality, and not much work has been done on collecting compositive information. In wireless sensor network target tracking, there are many influencing factors and the dimensions of these factors are different. This article combines the AHP(analytical hierarchy process) and the fuzzy mathematics method fundamental theory and presents a node selection algorithm. The algorithm estimates the possible trajectory of the target and wakes the appropriate node to participate in tracking. The results of the simulation indicate that the algorithm can turn off a mass of nodes and ensure the quality of the tracking simultaneously.
Modeling Spatial Structure of Urban Pole-Axis System by Fractal Theory
Authors: Meng Lina , Zheng Xinqi , Zhao Lu , Yang Xin
Published: December 2010

Pole-axis system (PAS) is one of main modes of regional development in China. A fractal model of PAS, which considered poles and axes synthetically, was built to discriminate the phase PAS stating, and then a GIS computing model was developed for the fractal model of PAS. Urban-traffic system in Jinan, eastern China, which is the PAS's carrier in geo-space, was taken as an example. The results showed that: (1) PAS presented a fractal character when developing to a certain phase. The fractal model of PAS can effectively reflect its spatial structure state; (2) fractal, scale-free and space complexity were the different states of geo-space. We could deduce that spatial structure of PAS had experienced an iterative process of disorder, fractal, scale-free, spatial complexity and order with its development; and (3) the urban-traffic system in Jinan had shaped the rudimental structure of PAS, which was in the developing phase.
New Series and Parallel Active Power Filter for Small Non Linear Loads and Computers Loads Simulation and Experimental Work
Authors: Ei-Zawawi Amr , Tarnini Mohamed
Published: December 2010

This paper contains a new series and parallel single-phase active power filter based on high input power factor and low input harmonics; it is for power quality purposes. The filters are designed to meet the requirements of voltage-current sourced harmonic loads it is based on a load current estimation using a DC capacitor voltage of active power filter sensing the load current. The proposed filters can improve the problems of a non-linear loads like as washing machines, faxes, photocopier machines printers, computers…etc and it also can suppress the harmonic current and compensate for the reactive power at the float charge mode. The simulation results and experimental results verify that the proposed filters have the expected performance.
Buffer Management in Cellular IP Networks Using GA
Authors: Anbar Mohammad , Vidyarthi Deo Prakash
Published: December 2010

Buffer management is very crucial to the Cellular IP networks as its proper use not only increases the throughput of the network but also results in the reduction of call drops. A model for buffer management in Cellular IP network using GA is being proposed in this work. It deals with two kinds of buffers; Gateway buffer and Base Station buffer. This is a two-tier model, where in the first tier a prioritization algorithm is applied for prioritizing real-time packets and to serve them in the buffer of the Gateway within a specified threshold. Remaining packets which couldn't be served after the threshold will be given to the nearest cells of the network to be dealt with in the second part. A GA based procedure is applied here in order to store these packets in the buffer of the base stations. Experiments have been conducted with different numbers of returned packets in order to study the effect of available buffer space on the number of dropped packets and to check the efficiency of the proposed model in reducing dropped packets.
TRENDZ: Identifying Online Job Seekers' Behavior with Respect to Global Slump
Authors: Almazyad Abdulaziz S. , Khan Zafar Iqbal , Siddiqui Mohammad Khubeb
Published: December 2010

Internet is the biggest source of information which is easily accessible but unstructured. Web mining - is the application of data mining techniques to discover patterns from the Web. According to analysis targets, web mining can be divided into three different types, which are Web usage mining, Web content mining and Web structure mining. [3]

Web usage mining reveals about user's navigation pattern at any website through analyzing web logs.

In this study we have tried to analyze the users online job seeking tendency pattern through two available web-based tools viz. Google Trends and Google Zeitgeist.
Accounting and Digital Technology: Building a Decision Matrix for Developing a Digital Accounting System
Authors: Daran Edris Heidari
Published: December 2010

The main intention of this paper is to analyze the application of digital technology to accounting. Digital technology has shaped a new revolution in human being's activities and has greatly changed all aspects of business. Accounting as the language of business is a part of this changing scenario and is experiencing a deep alteration in all dimensions. Digital accounting system is no longer a simple data keeping tool, but is rather a strong managerial mean. Implementation of digital technology on organization's accounting system is therefore a very sensitive matter and has been studied from different perspectives. There are different approaches towards applying digital technology to organization's accounting system and choosing an effective, optimum, and accurate approach is now a very noteworthy technical and managerial issue. This paper has introduced a decision matrix to provide manages with a flexible framework in order to help them improve the excellence of their decision. Other considerations for enhancing the development of an appropriate digital accounting system for the organization are also briefly declared.
Visualization for Student-Project Allocation with Preference over Pairs
Authors: El-Atta Ahmed H. Abu , Moussa M. Ibrahim
Published: December 2010

Student project allocations models (SPA) in which lecturers have preferences over students or projects have been studied in [8, 9]. This paper presents a visualization of a new general student project allocation model in which the lecturers have preference over pairs. The purpose is to provide the user with visual illustrations of student-project allocation algorithm with Preference over Pairs. The visualization is implemented in Java for the fact that it is a web-oriented language.
Facial Expression Feature Extraction Based on Integral Image
Authors: Lin Qing , Hu Rui-Rui , Zhan Yong-Zhao
Published: December 2010

Expression recognition is an important research direction of pattern recognition, and the facial feature extraction is a key step. This paper presented a simple and fast feature extraction method. In this paper, facial feature points were calculated using integral image and rectangle templates and its results were the feature value, finally these feature value were used for expression classification. The experimental results show that this method improves efficiency while extracting facial feature and does not affect the result heavily.
Construction Industry Long-Term Evolution and Its Policy Condition
Authors: Wang Yan , Zhang Fei-Lian
Published: December 2010

By aid of economic grows and industry evolution theory, this paper constructed a construction industry growth dynamic model of china. Selected years 1990–2007 growth in construction industry-related economic data for simulation and analysis of industry growth through the three types of dynamic behavior: equilibrium stability, cycle, fractal and chaos. Combination of non-linear theory and computer simulation techniques such acts and given its economic policy conditions.
Arithmetic Model Research of IDS Alarm Controlling
Authors: Guo Xiaoli , Feng Li , Guo Ping
Published: December 2010

This article mainly aims to handle this kind of information and design the model based on human olfaction passivation. Using this control model, the high frequency of false alarm will gradually decrease to the level at which IDS will do no alarming for the false information. And meanwhile, during the procedure of controlling, IDS will record the repeating alarming information, which will be used in statistic analyzing. By using this control model, the internet management staff can devote themselves to the internet security and not be disturbed by the alarming deluge. Also the model will reduce the rate of wrong alarm.
Research on the Application of Web Mining in E-Learning System
Authors: Wang Long , Liu Yanheng , Qu Liangdong
Published: December 2010

To solve the problems of current E-learning systems, Web mining technology is applied in the E-Learning system. The Web mining technology and the architecture of the E-Learning system is simply introduced in this paper. A personalized recommendation model based on Web mining is proposed, which can improve intelligent and personalization. The Web mining based methods for personalized recommendation are explained in details.
Design of Real-Time Monitoring Software Model Based on Pattern Matching and Data Compression
Authors: Zhixi Yin , Guoyong Zhen
Published: December 2010

Based on the analysis of pattern matching algorithm and data compression algorithm, this paper develops a kind of common and fast real-time monitoring software model according to high cohesion and low coupling design principles of software engineering. This model carries out data compression in the process of pattern matching for monitoring data, which can effectively reduce system time consumption and ensure the real-time performance of monitoring system, and meanwhile it can be applied to different application environments after being configured by configuration module, improving the reusability of software..
Register Stack with Concurrent Error Detection Capability
Authors: Abugharsa Huda , Negrat K. , Maamar Ali
Published: December 2010

Unfortunately as the scale of integration has increased so also has the occurrence of intermittent faults. The characteristics of these types of faults render them undetectable by standard test strategies. This is particularly problematic with the wide use of complex circuits in safety-critical applications. Ensuring the reliability of these systems is a major testing challenge. The detection of intermittent faults requires the use of Concurrent Error Detection (CED) techniques, which continually monitor the operation of the circuit. One method of implementing CED in VLSI circuits is through the use of information Redundancy or coding techniques. This paper investigates the use of Berger code as a means of incorporating CED into a self checking hardware register stack.
The Realization of GPRS Inbuilt Protocol Stack in Mobile Terminal
Authors: Qi Guan Zong , Wei Shen , Jiang Chen Dan
Published: December 2010

In the Intelligent Transport Control System, one method of achieving communication between the control center and the mobile terminal is to install GPRS module on the mobile terminal. The GPRS will connect with IP web. This transmitting method is economic applied and efficient. The paper introduces web organization of this system and software composition in the mobile terminal. It explains the method about how to connecting with Internet by GPRS module. The paper particularly analyses the method of inbuilt web protocol stack.
A Probabilistic Model Mapping-Based Event Detection Approach over Uncertain Sensor Data
Authors: Chen Mo , Yu Ge , Li Chuanwen , Hong Bonghee
Published: December 2010

For many monitoring applications, the major goal of the sensors is to detect events in physical world. The events which cause consecutive outliers on sensor data constitute an important type of event to detect. However, some disturbed events may also caused outliers, which have adverse impact on the detection results. In addition, sensor data are usually uncertain due to the imperfection of physical devices and communication delay. This paper proposed a probabilistic model mapping- based event detection method which can reduce false positive warning caused by disturbed events with high efficiency. Experimental results show the good performance of our method.
Solving Nonlinear Programming Problems via Advanced Simulated Annealing
Authors: Wu Jui-Yu , Lu Chi-Jie , Wang Shi-Chang
Published: December 2010

Deterministic global optimization methods generally have a complex optimization process, and usually make some assumptions regarding the problem to be solved. These approaches can be computationally tedious and difficult for general practitioners to implement. To overcome these drawbacks, stochastic optimization methods have been developed, such as genetic algorithms, artificial immune systems and simulated annealing (SA) algorithm. However, this study aims at SA algorithm. This study presents an advanced SA (ASA) algorithm based on penalty function. The proposed ASA algorithm is used to three benchmark nonlinear programming (NLP) problems. Numerical results indicate that the ASA algorithm can find a global solution for a NLP problem.
A New Approach for Computing the Support and Confidence When Mining for Association Rules
Authors: Alashqur Abdallah
Published: December 2010

In this paper, we introduce a new approach for computing the support of itemsets, which is an important component of data mining. Using the computed support values, confidence of association rules can then be found. Our approach uses standard relational algebra to compute the support values. Using the relational algebra for mining association rules enables us to uniformly apply data mining techniques to a wide spectrum of relational databases. This is because relational algebra is a standard interface for accessing relational data.
Aerial Image Classification Using Fuzzy Miner
Authors: Phokharatkul Pisit , Phaiboon Supachai
Published: December 2010

Aerial image classification is a method to classify and identify the objects on digital maps. Color, edge, shape, and texture have been extracted in order to classify objects on the aerial images. These feature attributes can be obtained directly from aerial images. However the complexity of data and number of rule based may be over information, which it can be reduced by the data mining techniques. In this research, we focus on the use of Fuzzy Logic for pattern classification. The attribute classifications have followed by the design and the implementation of its corresponding tool (Fuzzy Miner). Finally, the context of Fuzzy Miner is identified and to classify for its improvement are formulated. Extensive tests are performed to demonstrate the performance of Fuzzy Miner and compared with a performance Fuzzy C-Mean classifier. The results showed that, Fuzzy Miner has the best outcomes while Fuzzy C-Mean has the second rank outcomes.
Analysis and Design of High Speed Optical Transceiver Module
Authors: Peng Tao , Zhou Chaoyan
Published: December 2010

High speed optical transceiver module decides the quality of optical repeater station, a novel design method was proposed for 3G mobile communications, and has receive the result of design.
Research and Implementation of Signal Detection Algorithm in MIMO System
Authors: Wang Jing , Li Fangping , He Huimin
Published: December 2010

In this paper, on the basis of the research on the current MIMO system and its detection algorithm, a MIMO signal detection improvement algorithm based on iteration is presented. Based on the existing tree search, the algorithm prioritizes all the sub nodes at the same layer from small to large according to their weights, and after the inter-layer sequence it adopts branch-and-bound algorithm to search. This method can filter out the tree nodes with larger weight, thus the tree search scope is reduced and the search pace is speeded up. Finally, the experimental results show that the algorithm is feasible and effective.
Reservoir Water Level Detection Based on Optical Fiber Temperature Sensor
Authors: Liu Gaoping , Zheng Zihan , Tao Peng
Published: December 2010

The paper introduces a method of reservoir water level detection based on distributed optical fiber temperature sensor (DTS). First it introduces the working principle of DTS and the water-level determination principle by measuring the surface temperature of optical fiber. Then it gives different ways of laying optical fibers and gets the most cost-effective to meet the precision requirement. The result from engineering application shows that the positioning precision can reach to 10mm.
Research on a New Type of Adaptive Fuzzy Clustering Algorithm
Authors: Liu Lingxia , Qiang Song
Published: December 2010

On the basis of an intensive study of crossover probability and mutation probability of genetic algorithm, this paper puts forward a kind of fuzzy clustering algorithm based on adaptive genetic algorithm and this algorithm overcomes the dependence of fuzzy clustering algorithm on initial clustering center, gives full play to the global optimization ability of genetic algorithm and the local optimization ability of fuzzy clustering algorithm and effectively balances its ability to explore and develop the cluster space, and meanwhile, compared to SGA fuzzy clustering algorithm, it is more prominent in calculating speed and efficiency. Experiments show that AGA fuzzy clustering algorithm is a kind of efficient and feasible clustering algorithm.
Implementation of Computer Control System of Powder Injection Production
Authors: Wei Shutao , Chen Lin , Cui Lili , Yu Guangzheng
Published: December 2010

In the paper, the computer control system of self-learning expert for industrial powder injection production is introduced which has been successfully applied. And the working principle and design method of computer hardware and software is discussed. Moreover, the whole process of continuous real-time measurement and closed-loop control for powder injection amount and feed rate of fed-batch part is introduced.
Design and Implementation of the Active Image IP Multicast System
Authors: Niu Yan , Du Jiangyi , Chen Yongchao
Published: December 2010

This paper introduces the multicast communication model based on TCP/IP protocol, explicates the support for IP multicast by Winsock 2, designs and realizes the activity image IP multicast system in the local area network environment.
Non Standard Forms of Data Loss Prevention in Oracle
Authors: Martin Juhas , Maximilian Stremy , Bohuslava Juhasova , Milan Remenar
Published: December 2010

The target of this contribution is presentation of non standard ways of backup database creation in Oracle. First way is the creation of physical standby database by PL/SQL script, which consists of creation standby initialization files, hot backup copy of primary database data files to standby location and startup of new standby database in Data Guard configuration. Alternative way uses cold backup of primary database and offline copy of backup data files to standby locality. A concept of database backup creations for specific problem, where using of implemented tools in Oracle is unnecessary, is also presented. At that manner are used PL/SQL tools only, without using supplementary services.
Design of Missile Autopilot Considering Hardware Constraint
Authors: Wang Bo , Wang Yu
Published: December 2010

A set of time- and frequency-domain mixed indexes considering both guidance loop overall performance and hardware constraint was presented. However, the autopilot response using the index exhibited slowly. A general autopilot design procedure synthesized optimal control and frequency-domain constraint was thus proposed. Wherein, the weights selection was transformed into an optimization problem. A four-loop topology was examined to deal with the special case of low-frequency actuator. The analysis and simulation results show that relaxing the static stability of a missile is only benefit to improve missile steady performance. Though a static unstable missile can be stabilized, the finite resource of actuator is the crucial limited factor dominating autopilot function.
Application of Chaos-Radial Basis Function Neural Networks Coupling Model in Rainfall Forecasting
Authors: Long Xun-Jian , Liang Chuan
Published: December 2010

A coupling model which is based on the Chaos phase space reconstruct and the radial basis function neural network and its utility for rainfall prediction is developed. In general, the precipitation time series, while the time of precipitation processes from beginning to end, has a non-linear feature, which usually can be expressed through a monthly rainfall. Therefore, a new coupling model based on the Chaos theory is produced in this study. In according with the new model monthly rainfall time delay and embedding dimension was computed by autocorrelation function, saturated related dimension and CAO methods, respectively. Furthermore, phase space reconstruction is achieved after the time delay and embedding dimension are counted. Afterwards, the RBF neural networks based on chaotic time series were proposed. In this study, monthly average precipitation of Jianyang city of Sichuan Province, in southeast China, was carried out from 1951 to 2008 to investigate the Chaos phenomenon and simulation. The calculating results show that, the time delay for this time series is 3, the embedding dimension is 9 and the saturated correlation dimension exists. The RBF neural networks coupling with chaotic simulation results show that the proposed model has effective prediction outcome and high prediction precision for the simulated chaotic time sequence, as well as the final absolute error comes to 1.09e-l 1 and the relative errors are lower than 5% except several minimum data. In addition, this coupling model would be used to estimate an annual precipitation and adjust the pattern of planting and guarantee the harvest in agriculture, etc.
An Error Handling Method for Primary-Backup Replication Protocol
Authors: Wang Chao , Li Zhanhuai , Li Xiaoyu , Zheng Qiaoshi
Published: December 2010

Replication system belongs to highly reliable software; therefore, the reliability of itself is particularly important. This paper discusses the error brought about by the breakdown of primary-backup replication system. Then, an error handling method for primary-backup replication protocol (LVR) is presented in this paper aiming at handling this error and improving the reliability. LVR can maintain the data consistency by reconstructing write requests and updating them to backup. Analysis and experiment have revealed that LVR performs highly efficiently and it can be widely used in primary-backup replication protocols.
On Artificial Immune Techniques in the Surface Defects Detection System of Cold-Rolled Strips
Authors: Su Bo
Published: December 2010

To resolve the problem of the quality detection of cold-rolled strips online,, an approach for defects detection using the method of digital filter with the theory of artificial immune is put forward. The structure of the cold-rolled strips system and the principle of this method are stated detailed. The experiment results in one steelworks show this method can meet the demands of the quality detection of cold-rolled strips and can be used to implement the online quality detection of cold-rolled strips.
Visualization of Genetic Algorithms for Multi-Objective Transportation Problem in Java
Authors: El-Kazzaz Fathy S. , Moussa M. I. , El-Wahed Waiel F. Abd
Published: December 2010

This paper presents visualizations of the basic ideas about the multi-objective transportation problem, our purpose is to provide the user with an impressive visual illustrations of the genetic algorithm method of solving the multi-objective transportation problem using Java.
Grey System Theory Application on Industrial Structure and Economic Development: Evidence from Chinese Shandong Province
Authors: Liu Na , Chen Fu-Zhong
Published: December 2010

Taking Chinese Shandong Province for example, Grey Incidence Analysis was utilized to do an empirical research on the relationships between industrial structure and economic development. The results showed that: (i) because of the influence from the original situations of indicator sequences, the absolute degrees of grey incidence about three industries were basically equivalent, which was in line with hypothesis 1 and hypothesis 2; (ii) from the relative degrees of grey incidence and synthetic degrees of grey incidence about three industries, there were such relationships as follows: relative (synthetic) degree of grey incidence about secondary industry > relative (synthetic) degree of grey incidence about primary industry > relative (synthetic) degree of grey incidence about secondary industry > relative (synthetic) degree of grey incidence about tertiary industry; and (iii) from the perspective of the application of grey incidence analysis, it is necessary to pay more attention to the original situation influence of time sequences to computing results.
Image Smoothing Based on Game of Life
Authors: Li Kai , Tian Shuang-Liang , Geng Li-Jun , Zhang Xi
Published: December 2010

We do to curb noise and improve image quality, you must first pre-processing of images, that is, smooth images. The purpose of image smoothing is to improve the image of the visual effects and improve image clarity in order to become more conducive to the computer image processing and analysis of various characteristics. We use a classic cellular automata “Game of Life,” conducted a study about image smoothing based on game of life to image that a cell for each pixel, using a radius of 1 neighbors of Moore type. We transform the image of the different rules, the use of two-dimensional cellular automaton model area of the smoothed image. We experimentally demonstrate that the smoothing method with the median filter to the normalized mean square error and peak signal to noise ratio comparison method revealed that the more obvious advantages.
Machinery Maintenance Scheduler System
Authors: Zainuddin Fauziah , Sidek Roslina Mohd , Ali Noorlin Mohd , Mat Rahim Mohd Hafizul
Published: December 2010

The aim of this study is to develop a prototype of web based machinery maintenance scheduling system. Maintenance is an important task in remaining the system functionality and to extend the life time of an asset. However, a weak maintenance management and practice may leads to the major system failure which involved high maintenance cost. This paper describes an initial attempt of developing e-maintenance application - Web Based Machinery Maintenance Scheduler System (MMS). MMS is developed to manage the maintenance scheduling of all machines operated in Mechanical Engineering Laboratory. Based on the study, the prototype is able to generate maintenance scheduling for each machines based on the machine maintenance specification, record the data for the emergency maintenance case and generate the monthly maintenance report. The detail outcomes and the results from the study are discussed in this paper.
Improving Avatar Collision Detection Performance for Virtual Environment Applications
Authors: Suaib Norhaida Mohd , Bade Abdullah , Mohamad Dzulkifli
Published: December 2010

Many virtual environment applications incorporate avatars as some of their inhabitants. Interactions between avatar and surrounding objects, as well as avatar and avatar, need to be done in real-time in order to retain the degree of realism and immersion of the virtual environment application. In this study, we consider an avatar as a human-like, 3D hierarchical representation. The aim is to improve the collision detection process involving a human-like avatar and its interaction. Previous work on avatar collision detection is presented. A proposed improvement is summarized from methods that have been implemented in other fields like ray-tracing and deformable objects simulation that can also be beneficial for this purpose.
Modeling and Reachabilty Analysis for a Single Intersection Based on Rectangular Hybrid Automata
Authors: Li Hongfeng , Jiang Guangxiu , Chen Yangzhou
Published: December 2010

A rectangular hybrid automata model of a four-phase intersection is given, in which the queue lengths are considered as continuous variables to represent the vehicle flow behavior of the intersection and the discrete event part represent the traffic light behavior. Based on the rectangular hybrid automata model, all directional vehicle flows are analyzed. A method for reachability analysis of rectangular hybrid automata is applied to analyze the maximum and minimum of each queue length of the single intersection. Simulation completed with the help of the toolbox CheckMate shows that the rectangular hybrid automata model and the method can not only perfectly represent the hybrid character of the dynamic traffic flow of the single intersection, but also can verify the efficiency of the timed scheme of the traffic light.
An Automatic Speaker Recognition System
Authors: Akrouf Samir , Mehamel Abbas , Benhamouda Nacéra , Mostefai Messaoud
Published: December 2010

Speech is becoming the privileged mean of communication. With the advent of computers, researchers and industrials are using it like a mean of communication in the Human Machine Interface domain.

All the current systems, based on the natural language, are far from assimilating all the characteristics of the language. Nowadays The Automatic Treatment of speech is progressing, in particular in the fields of Automatic Speech Recognition “ASR” and Speech Synthesis.

The automatic speaker recognition is represented like a particular pattern recognition task. It associates the problems relating to the speaker identification or verification using information found in the acoustic signal: we have to recognize a person by using his voice. ASR is used in many fields, like domestic, military or jurisprudence applications.

In this work we explore the automatic speaker recognition and present an Automatic Speaker Recognition System. We will use speaker recognition in text independent mode since we dispose of very few training data. We have to estimate with few data a robust speaker model to allow the recognition of the speaker.
Low-Complexity PAPR Reduction Schemes Using SLM and PTS Approaches for Interleaved OFDMA
Authors: Souad Zid , Ridha Bouallegue
Published: December 2010

One of the major drawbacks of multi-carrier systems is the high peak-to-average power ratio (PAPR) of the transmitted signals. In this paper, the proposed novel low-complexity selective mapping (SLM) and partial transmit sequences (PTS) schemes are applicable to interleaved orthogonal frequency division multiple access (OFDMA) uplink systems for PAPR reduction. The basic idea is to explore the special structure of interleaved OFDMA, so as to reduce the complexity of PAPR reduction. Current PAPR reduction techniques can be combined with the proposed structure, SLM and PTS are combined for instance. Simulation results show that compared with traditional techniques, the proposed technique can gain the same PAPR reduction but with considerable complexity reduction. The new SLM interleaved OFDMA scheme reduces the computational complexity, while it shows almost the same performance of PAPR reduction as that of the conventional SLM interleaved OFDMA scheme, the new PTS proposed can reduce the complexity too. This method needs side information in the receptor.
Condensation Method for Face Tracking Based on Features Fusion
Authors: Zhang Yong , Li Lan
Published: December 2010

A robust face tracking algorithm is proposed to color video sequence of complex background, in which uses a fusion of gradient model and color histogram model as clues. First, the method constructs histogram model according to color characteristics of high clustering about H-channel of HSV, Cb-channel and Cr-channel of YCbCr, and a gradient model according to gradient characteristics in the elliptic border is also constructed. Second, an improved CONDENSATION filtering algorithm is applied to face tracking, in which the problem of occlusion is solved better in video sequence. Experiment result shows the robustness of the method against the complex background of face rotation, partial occlusion and skin color distraction.
Ga
+
beam lithography for suspended lateral beams and nanowires
Authors: Henry M. David , Shearn Michael , Scherer Axel
Published: December 2010

The authors demonstrate the fabrication of suspended nanowires and doubly clamped beams by using a focused ion beam implanted Ga etch mask followed by an inductively coupled plasma reactive ion etching of silicon. This method will demonstrate how a two-step, completely dry fabrication sequence can be tuned to generate nanomechanical structures on either silicon substrates or silicon on insulator (SOI). This method was used to generate lateral nanowires suspended between 2 μm scaled structures with lengths up to 16 μm and widths down to 40 nm on a silicon substrate. The authors also fabricate 10 μm long doubly clamped beams on SOIs that are 20 nm thick and a minimum of 150 nm wide. In situ electrical measurements of the beams demonstrate a reduction of resistivity from >37.5 Ω cm down to 0.25 Ω cm. Transmission electron microscopy for quantifying both surface roughness and crystallinity of the suspended nanowires was performed. Finally, a dose array for repeatable fabrication of a desired beam width was also experimentally determined.