bluuebunny/crossref_metadata_2025 huggingface dataset:
Study on Calculation of Rural Residential Land Consolidation Potential at County Scale
Authors: Zou Ya Feng , Liu Yao Lin , Kong Xue Song
Published: December 2011

By analyzing the advantages and disadvantages of Per capita construction land method, Vacant land rate method and Comprehensive evaluation method, rural residential land is classified into two types by using related technologies of ArcGIS according to their condition: one is minor residential area, using the whole relocation model, and the potential is calculated by per capita construction land method and modified by farmers’ willingness; the other is central village, using the internal reconstruction model, and the potential is calculated by vacant land rate method. The sum of the two types is the total potential. And take Pingnan county for example, the realistic feasibility of the several methods used to calculate the potential of rural residential land is comparatively analyzed.
A SOA-Based Scheme for MAI Suppression in OCDMA
Authors: Li Chuan Qi , Shen Zhi Guo , Chen Hui , Zhou Xu
Published: December 2011

A noise suppression scheme based on semiconductor optical amplifier (SOA) is investigated in this paper. It aims to inhibit the Multiple-Access interference (MAI) which is the major noise in incoherent optical code division multiple access (OCDMA) system. The saturated SOA is employed as optical limiting amplifier here. The performance of proposed MAI suppression system is analyzed theoretically and experimentally.
The Study of Reducing the Take-Off Congestion
Authors: Zhao Wen Zhi
Published: December 2011

The problem of Take-Off congestion is studied, and then a new concept is proposed that the double direction Take-Off (DDT) can be adopted in the mode of time division alternatively on ordinary runway to solve the problem effectively. This mode does not violate the runway occupation rule which limits the only one aircraft on the runway at the same time for safety. The wake vortex separation limit is kept also. It will reduce the occupation time and the Take-Off and landing length wasted on runway. The relationship between the rolling distance and the wind speed is considered in relation to the runway length permission. This will lead to significant increase on effectiveness and utility of runway, equally on economic enhancement for aircrafts, airlines and airports.
Design and Implementation of Automatic Generating System for Individualized Teaching Based on Web
Authors: Wang Xu , Wang Zhi Jun
Published: December 2011

This paper introduced the development of web automatic generating system. The system can automatically generate a keyword supporting network curriculum. It can track on student's learning process, collect the effective information, and provide analysis by computer servers, combined with education psychology theory, then give feedback to students by a suitable way. This can stimulate students' interest in learning, improve their attention and guide their further study.
Research of Three-Level Detection Algorithm against Low-Rate Denial of Service Attacks
Authors: Bai Yuan , Xie Chui Yi , Qin Jian Cheng
Published: December 2011

Three-Level detection algorithm is provided to detect low-rate denial of service attacks. The networks abnormities are caught in the first level; In the second level the flooding and low-rate denial of service(DoS) are divided; And then the Low-Rate DoS is detected accurately using frequency transfer method in the third level. Considering the application of networks, Low-Rate DoS attacks are detected and confirmed in Three-Level detection algorithm. Comparing with single level detection method, the most complex procedure is left behind to reduce detecting overhead. The simulation results certificate the feasibility of the algorithm.
An Empirical Study on Board Characteristics and Sustainable Growth of Listed Company
Authors: Liu Hai Ying
Published: December 2011

The paper is based on the SGR model by Robert C Higgins. Through regression analysis and panel data, we find that the diligent boards and the stock-keeping ratio of board directors are associated with higher sustainable growth, while board size can restrain sustainable growth to some extent,With respect to the other variables, results indicate that CEO-duality and percent of independent directors on the board do not significantly influent sustainable growth.
Short-Term Oil Price Forecasting Based on State Space Model
Authors: Li Wei Qi , Ma Lin Wei , Dai Ya Ping , Li Dong Hai
Published: December 2011

In competitive petroleum markets, oil price forecasting has always been an important strategic tool for oil producers and consumers to predict market behavior. In this study, we researched the monthly crude oil price in the period between 1988 and 2009. Firstly, we present a state space model to represent oil price system. Secondly, we determine the parameter estimates of the state space model for oil price through a faster algorithm to compute the likelihood function. Lastly, we use the Kalman filter method to estimate the next three months’ oil price and compare it with the econometric structure model as a benchmark. Empirical results indicate that the state space model performs well in terms of some standard statistics indices, and it may be a promising method for short-term oil price forecasting.
A Novel Detection Method of Harmonic Current
Authors: Wei Li Ming , Zhao Shan
Published: December 2011

Based on the instantaneous reactive power theory, an improving detection method of harmonic current is put forward. In this method, the harmonic current is detected by current average. The method has the characteristics of simple structure, strong real-time and good dynamic response. In the paper, the proposed method is used to carry out simulation of MATLAB and the results show the effectiveness of the method.
An Intelligent Chinese Text File Inquiry System
Authors: Bao Hong , Deng Zhen
Published: December 2011

An Intelligent Chinese Text File Inquiry System (ICTFIS) is introduced in this paper. The system is used to serve the national materials information sharing platform. The ICTFIS provided a user friendly interface with Chinese nature language as its inquiry language. The automatic abstraction model, one of the most important models of the system, is also discussed in detail
The Paging Mechanism and MMC Module in XS128 Flash
Authors: Wu Jin , Wang Yi Huai
Published: December 2011

In this paper we analyze the paging mechanism of XS128 Flash memory in detail, elaborate the functions and theory of Memory Mapping Control (MMC) module which integrated in S12XS serials MCU. We also introduce some registers which involved in MMC to realize the paging mechanism. Besides, we put forward the concepts of Local address, Logical address and Global address in XS128 Flash module, and give the basic theory on the conversion of these addresses.
MVB-Based Dynamic Supervision of Docks in Traffic Memory
Authors: Deng Jiang Ming , Chen Te Fang , Cheng Shu
Published: December 2011

A high reliability of Traffic Memory(TM) working condition is of vital importance to information transfer in MVB. In order to avoid bus traffic overflows, the minimum possible time intervals or loading ratios of TM for a given number of ports were calculated. The longer supervision period it had, the more number of docks could be supervised. The number of docks supervised, during supervision intervals, was submitted to Normal distribution ( Ν(μ,σ2)). From the possibility distribution function it could σfind maximum possibility of the number of docks in working. From the disturbance rejection test of the fixed factor σ , a reasonable setting of sink-time supervision interval could be made to guarantee a high reliability for TM working condition.
The Fading Characteristic of the GSM-R Network’s Field Intensity under Raining Condition
Authors: Sun Ke , Jin Xin Yu , Jiang Lu Rong , Zeng Xiang Bing
Published: December 2011

The signal strength of the GSM-R network’s field intensity attenuates under raining condition due to the raindrop’s absorption and scattering. Moreover, the fading characteristic is influenced greatly by the scattering effect of the rainfall. Without regard to the landform and other factors, this paper uses Mie Theory to research the receiving level’s attenuation coefficient at different rainfall rates. And the related knowledge of electromagnetic waves through random medium is used to analyze the receiving level’s fading characteristic under raining condition. Analytical results indicate that the fading distribution model of the receiving level in GSM-R network is changed, except for the strength’s attenuation. Moreover, the fading depth grows under raining condition as a result of the scattered power caused by the raindrop. The analysis in this paper is proved by the measured data along the test section of Beijing-Tianjin line, and the research results provide the theoretical basis for GSM-R network’s anti-fading measures in the severe weather.
Analysis and Research on the Evaluation of Economy Benefits of Small Watershed Warping Dams System
Authors: Song Yong Jia , Gao Xi Min , Wang Guang Jie , Wang Jie
Published: December 2011

The evaluation of economy benefits of small watershed warping dams system program mainly includes foundation benefit, economic benefit, ecological benefit, social benefit on project construction. The thesis takes this small watershed planning scheme 30- year computation time as object of study ,on its soil conservation benefit, storage benefit, planting benefits and rationalities irrigation benefit, block mud benefit, economic indexes such as flood protection benefits were analyzed and calculated ,for dam system planning scheme of the economic rationality assessment provides evaluation basis. Using natural "catch-basin" concept, the people of loess plateau created warping dam whose role is storing muddy and releasing clearing, intercept sediment and silting farmland, which is a kind of soil and water conservation engineering measures. Since liberation, in the middle Yellow River area has built more than 110,000 warping dams, exceeding 0.3million hm2 place has been silting into dam land and accumulated retard mud 2.1 million tons. Since 1990s, in order to give full play to the operation safety and overall benefit of warping dams, which has formed the construction concept of dam is "in tributaries as skeletons, small watershed as a unit, matching key dam, small and middle warping dams to construction the dam system of gullies"[1]. Further assure the operation safety and the overall benefit of warping dams, which has been brought into full play. A watershed which is in order to limitation of control the flood and sediment to realize the long-term goals of soil and water conservation. Through the field survey and measurement, selected the dam system layout scheme , determinded the engineering construction scheme of the dam system of the river basin, dam system altogether layout 5 key dam (including 3 seats new dams , 2 seats old dam which is need reinforcement ) ,15 seats small and middle warping dams ,and the project under construction will last for 3 years. Basis to the specification requirement, we need evaluation analysis the planning scheme for engineering benefit. Dam system’s engineering benefits include foundation benefit, economic benefit, ecological benefit and social benefit. Basis to the specification requirement, engineering planning after the project implementation produced by the foundation and economic benefit emphatically analyzes, ecological and social benefits are briefly analyzed[2].
A Rapid Behavior Simulation Approach for Fishes
Authors: Hua Wei , Liang Ze , Zhang Zhe Tao
Published: December 2011

Simulating fish behavior is a typical application in artificial life studies. The traditional approaches are based on solving equations of mathematical physics. They are only able to simulate few fishes in real time. This motivates us to present a rapid approach capable of simulating fishes. Our approach adopts motion graph to represent the athletic ability of fish, and uses a path planning to simulate various behaviors based on the motion graph. Experiments show that this approach is very efficient and has great potential in simulating large-scale fish shoal.
An Integration Framework of Product Design Knowledge Oriented to Collaborative Design
Authors: Jiang Cui Qing , Ge Peng Fei , Liu Song Wang
Published: December 2011

During the process of mechanical product design, it is difficult for designer to obtain the required knowledge accurately. Through analyzing knowledge requirements of collaborative design, as well as the close relationship of knowledge with knowledge, business and people, we presents a new knowledge integration patterns and mechanism oriented to product collaboration design. Then according to the characteristics of knowledge integration system for collaborative design, a knowledge integration system framework oriented to product collaboration design is presented. Finally we develop a prototype system of knowledge integration supporting product collaboration design.
Predicting Seepage of Earth Dams Using Neural Network and Genetic Algorithm
Authors: Miao Xin Ying , Chu Jin Kui , Qiao Jing , Zhang Ling Han
Published: December 2011

Measurements of seepage are fundamental for earth dam surveillance. However, it is difficult to establish an effective and practical dam seepage prediction model due to the nonlinearity between seepage and its influencing factors. Genetic Algorithm for Levenberg-Marquardt(GA-LM), a new neural network(NN) model has been developed for predicting the seepage of an earth dam in China using 381 databases of field data (of which 366 in 2008 were used for training and 15 in 2009 for testing). Genetic algorithm(GA) is an ecological system algorithm, which was adopted to optimize the NN structure. Levenberg-Marquardt (LM) algorithm was originally designed to serve as an intermediate optimization algorithm between the Gauss-Newton(GN) method and the gradient descent algorithm, which was used to train NN. The predicted seepage values using GA-LM model are in good agreement with the field data. It is demonstrated here that the model is capable of predicting the seepage of earth dams accurately. The performance of GA-LM has been compared with that of conventional Back-Propagation(BP) algorithm and LM algorithm with trial-and-error approach. The comparison indicates that the GA-LM model can offer stronger and better performance than conventional NNs when used as a quick interpolation and extrapolation tool.
The Ideas of Building Information Platform for Fujian Cross-Strait Information Industrial Cooperation
Authors: Li Yong Zhong
Published: December 2011

With the development of the knowledge economy and a digital society, knowledge and information become the most basical elements of the production, not mention the Fujian cross-strait’s cooperation in information industry, it need the information. So, it is essential to build information platform for the cooperation. This article embarked from the construction goal of the information platform, elaborated the construction of the overall idea and its principle, has analyzed the influencing factors in building information platform, and do a certain amount of introduction in the function of the information platform, and finally the post-maintenance issues.
Preparation of Nickel Nanoparticles by the Thermal Decomposition of NiC2O4. 2H2O Precursor in the Argon Gas
Authors: Fu Xiao Ming
Published: December 2011

Nickel nanoparticles are successfully obtained by the pyrolytic decomposition of NiC2O4. 2H2O in the argon gas. The pyrolysates of NiC2O4. 2H2O in the argon gas are investigated by TG-DSC and TEM. The results show that there are two stages in the process of the pyrolytic decomposition of NiC2O4. 2H2O in the argon gas. The crystal water in NiC2O4. 2H2O is lost from 200 °C to 300 °C. NiC2O4 is pyrolysized into nickel powder from 325 °C to 425 °C. At the same time, the influence of temperature on the particle size of the decomposition is more from 254.4 °C to 407.5 °C. The influence of temperature on the particle size of the decomposition is less from 407.5 °C to 450.0 °C. Therefore, the pyrolytic condition of NiC2O4. 2H2O in the air is controlled if nickel nanoparticles are prepared.
Design and Management of Group OA Platform Based on Domino and SAN
Authors: Yang Lv Qing , Liu Zhen Yu
Published: December 2011

On the basis of the analysis of the group OA platform’s features, we propose and design the group OA platform architecture with Domino/Notes and SAN. We apply optical storage, cluster, disaster-tolerant backup and distributed deployment in the platform design and introduce technical implementation briefly. Transmission management, user (authority) management and performance optimization on OA platform with Domino/Notes 7 are also included. At last, the rationality of the platform design and the validity of management methodology are proved through case study in computer engineering.
On-Line Identification of Process Model Based on Swarm Intelligence Technology
Authors: Cao Li Ting , Jin Qi Bing , Fan Tong Shun , Su Wei
Published: December 2011

On-line identification problem of process model was discussed in this paper, which use warm intelligent technology. An on-line identification method based on HPSO-Rosenbrock parameter estimation algorithm is proposed to solve the problem that traditional identification methods cannot be used in continuous-time systems on closed-loop step response conditions. This identification method is a combined method of a modified PSO and Rosenbrock which can make full use of global search ability of PSO and local search ability of Rosenbrock. Identification results of HPSO-Rosenbrock algorithm were made and compared with the other identification methods. The simulation and compare results show that the on-line identification method proposed in this paper is an approximate unbiased and effective identification method. This method can be successfully applied to closed-loop identification under secious noise and big dead-time object which provides a new idea for system optimization and advanced control.
Simulation Research of Ecological Footprint in Society-Economy-Population-Resource System of Wuxi
Authors: Li Lei , Liu Jie , Liu Xue
Published: December 2011

From the perspective of ecological needs, this paper uses ecological footprint to measure ecological needs, establishes a system dynamics model by combining ecology with economics, population and resources to simulate the system of Wuxi, a dynamic prediction is made to provide ideas about constructing a low carbon, ecological city as well as improving the quality of life.
Studies on Model of Torsional Micro-Mirror Based on W-RKPM
Authors: Zhang D.B. , Deng Z.L. , Liu W.L. , Huang J.M.
Published: December 2011

Based on W-RPKM which takes a wavelet scale function as shape function in reproducing kernel particle method proposed in this paper, establish a torsion micro-mirror coupled model of the bend and twist. The higher the order Wavelet basis function sub-space, the higher the degree of approximation of the true solution. The key parameters --Pull-in and twist angle of torsional micro-mirror locate at the large gradient space where the amplitude of wavelet scale function is more large, so exact parameters we care about can be valued acutely.
Empirical Analysis on the Influence Factors of Inflation in China
Authors: Wang Bin , Li Hua
Published: December 2011

To analyze the reasons for current inflation and minimize the adverse effects caused by inflation for people’s life, based on the study of broad measure of money supply and inflation, the effect of consumer confidence index with inflation was studied. In this paper, relevant theories and knowledge were applied such as regression analysis method and economics to build the model on relationship among broad measure of money supply (M2), consumer confidence index (CCI) and the inflation through econometric software Eviews 6.0. The conclusion was drawn that there were relevance between the two compared factors and inflation. All these findings would be of use to analyze the reasons for inflation more perfect and be useful references to the research for the future.
Procurement Allocation Model of Single Product in Vendor Selection
Authors: Jin Huan
Published: December 2011

The procurement allocation model of single product in vendor selection is studied under stochastic demand and incremental price discount. A fuzzy multi-objectives programming model is presented for solving the problem of vendor selection with fuzzy multi-objectives. Not only a process and procedure is summarized, but also feasibility and effectiveness of the proposed method is proved.
An Empirical Research of Relationship between Regional Information and Human Capital
Authors: Liu Yue , Hui Mei Ning
Published: December 2011

As the two important factors of promoting regional economic and social development, there is a certain relationship between regional information and the human capital level. This paper, using the year about 2008 section data of 31 provinces and municipalities of China constructing "pseudo time series", adopting granger causality test model makes an empirical analysis of its. The results show that: the informatization level and the human capital development degree all over China has strong regional imbalance; the regional degree human capital development is more diversity; both of the imbalance put up the trend of showing common, namely being blessed with the consistency of development degree; All over China's human capital in the process of the regional informatization development plays an important role.
Health Index Evaluation on Acoustic Emission Signal for Concrete Structure by Intensity Analysis Method
Authors: Shahiron Shahidan , Bunnori Norazura Muhamad , Noorsuhada Md Noor , Basri Siti Ramziah
Published: December 2011

Concrete structures have been facing several types of damage mechanisms during their lifetime. Mostly, the types are commonly defects in concretes structures are crack formations. Therefore, evaluation methods such as acoustic emission (AE) are required for assessing the deterioration on concrete structures. This paper gives a brief on the evaluations of the acoustic emission signal strength to the health monitoring of reinforced concrete structure beam. Small scale size beam have been used for this investigation and the AE signal processing are the main principal data in this work for assessing by using the statistical quantitative technique, which is known as intensity analysis (IA).This type of technique is able to quantify and evaluate the damage severity on concrete structures. Eventually, by using the AE signal strength data, the results indicates are greater instruments in determining the damage mechanism level on concretes structure.
Modeling and Control of a Complex Interacting Process
Authors: Patra Subhajit , Saha Prabirkumar
Published: December 2011

In this paper, two efficient control algorithms are discussed viz., Linear Quadratic Regulator (LQR) and Dynamic Matrix Controller (DMC) and their applicability has been demonstrated through case study with a complex interacting process viz., a laboratory based four tank liquid storage system. The process has Two Input Two Output (TITO) structure and is available for experimental study. A mathematical model of the process has been developed using first principles. Model parameters have been estimated through the experimentation results. The performance of the controllers (LQR and DMC) has been compared to that of industrially more accepted PID controller.
Design, Modeling and Simulation of CMOS-MEMS Piezoresistive Cantilever Based Carbon Dioxide Gas Sensor for Capnometry
Authors: Mirza Asif , Hamid Nor Hisham , Md Khir Mohd Haris , Ashraf Khalid , Jan M.T. , Riaz Kashif
Published: December 2011

This paper reports design, modeling and simulation of MEMS based sensor working in dynamic mode with fully differential piezoresistive sensing for monitoring the concentration of exhaled carbon dioxide (CO2) gas in human breath called capnometer. CO2 being a very important biomarker, it is desirable to extend the scope of its monitoring beyond clinical use to home and ambulatory services. Currently the scope of capnometers and its adaption is limited by high cost, large size and high power consumption of conventional capnometers . In recent years, MEMS based micro resonant sensors have received considerable attention due to their potential as a platform for the development of many novel physical, chemical, and biological sensors with small size, low cost and low power requirements. The sensor is designed using 0.35 micron CMOS technology. CoventorWare and MATLAB have been used as simulation software. According to the developed model and simulation results the resonator has resonant frequency 57393 Hz and mass sensitivity of 3.2 Hz/ng. The results show that the longitudinal relative change of resistance is 0.24%/µm while the transverse relative change of resistance is -0.03%/µm.
Optimized Design for Cockpit Protective Glass Construction against High Power Microwave Using Genetic Algorithm
Authors: Huang Jun , Jin Yan , Hu Yun An , Zhang Hao Ran
Published: December 2011

According to main challenges to aircraft protection against high power microwave (HPM), the formula of electromagnetic transmission rate and reflectivity both for the perpendicularly and parallely polarized incident field are modified and simplified, a shielded cockpit glass construction is designed by a new optimized method on genetic algorithm, and protective efficiency analysis on military aircraft’s cockpit against HPM is carried out on a virtual 3D plane, airborne equipments and pilot model with a scale of 1:1. The verification simulation tests show the optimized construction has good protective efficiency in the range of carrier frequencies between 1-20 GHz, and protective intensity does not exceed limits of relevant international standard.
Electro-Magnetic Research of NEMS Beam and Cofferdam Structure with Porous Materials
Authors: Ge Yu Ping
Published: December 2011

We theoretically analyzed the microwave NEMS (Nano- micro- electronic mechanical systems) porous substrate materials and relevant characteristic to NEMS functions to achieve the balance of high performance and the low-cost. And the introduction of the micro fluidic cofferdam development was given at a Glance. ANSYS software was applied on NEMS beam switch simulation. The comparison result was drawn: the threshold voltage of the NEMS beam switch closure increases with metal Young's modulus of the material increases.
Generalization Backstepping Method Based on Stabilization of Parameters Perturbation Lu Chaos Using Adaptive Neuro-Fuzzy Inference System
Authors: Sahab Ali Reza
Published: December 2011

This study deals with the control and synchronization chaos using Generalized Backstepping Method (GBM). This new method to control nonlinear systems was called generalized backstepping method because of its similarity to Backstepping Method (BM) but its more abilities to control systems than it. GBM could achieve better performance than BM in respect of lower signal control, short settling time and overshoot, control ability of MIMO systems and non strictly feedback systems. GBM consists of parameters which accept positive values. The parameters are usually chosen optional. The system responded differently for each value. This paper introduce a novel adaptive neuro fuzzy control method which trained by different error data to achieve optimal parameters. So with optimal parameters controller can stabilize the Lu chaos in much quicker than GBM.
Design and Performance Analysis of Direct Methanol Fuel Cell
Authors: Cao Ling Zhi , Su Zhi Li , Li Chun Wen
Published: December 2011

It is necessary to built an accurate model of direct methanol fuel cell (DMFC) as a complex nonlinear multi-input multi-output system .In this paper .the methanol concentrations, temperature and current were considered as inputs, the cell voltage was taken as output, and the performance of a direct methanol fuel cell was modeled by neural network model. This model is based on Matlab / Simulink software .The simulation shows that the neural network model has better accuracy than the physical model, while analyzing the performance of the DMFC in different temperatures and concentrations.
Product Variants Search and Retrieval Based on the Semantically Annotated Product Family Using Multi-Facet Domain Ontology
Authors: Dan Bin , Peng Shuang , Zhang Xu Mei , Rao Kai
Published: December 2011

For the purpose of solving product variant search and retrieval problems for non-professional customers, a search and retrieval framework is proposed based on the semantically annotated product family using multi-facet domain ontology. The method of developing multi-faceted domain ontology is discussed, and the annotation model is constructed，then the methodology of search and retrieval is presented in detail. Finally, an example of a digital camera family is employed to illustrate the proposed approach.
B-Value Analysis of AE Signal Subjected to Stepwise Loading
Authors: Nor Noorsuhada Md , Bunnori Norazura Muhamad , Azmi Ibrahim , Shahiron Shahidan , Basri Siti Ramziah , Soffian Noor Mat Saliah
Published: December 2011

Acoustic emission is an effective damage assessment method in a structure subjected to mechanical loading. Calculation of log-linear slope of the frequency-magnitude distribution of acoustic emission (known as b-value) has been carried out. It is found that the b-valuefor the log frequency-magnitude graph has a good correlation for beam imposed of stepwise loading.It also can be seen that the b-value is decreased as the load increased.
Assisted Optimization of the New Robot Dynamic Parameters with Neural Smart Damper
Authors: Olaru Adrian , Olaru Serban
Published: December 2011

The paper showed the assisted research of some new dynamic behavior parameters and his influences to the dynamic behavior of the industrial robots. The research contents the mathematical model of these new dynamic parameters, assisted theoretical simulation of the new mathematical model after applies the rheological damper and the assisted establish of the influences of the model coefficients to the characteristics parameters. In the assisted experimental research by data acquisition were established the influences of some different dampers to the dynamic behavior and was proposed one proper smart damper system with magnetorheological damper (MRD), proper neural network with some time delays and recurrent links and soft control with acquisition board. By applying this new research was possible developing the new matrix -vector form of the torsor force- moment and the research of the global dynamic damper behavior and the global dynamic compliance of the industrial robot with proper smart damper system.
Power Quality Events Classification Using MWT and MLP
Authors: Saini Manish Kumar , Kapoor Rajiv
Published: December 2011

The work presented uses multiwavelet because of its inherent property to resolve the signal better than all single wavelets. Multiwavelets are based on more than one scaling function. The proposed methodology utilizes an enhanced resolving capability of multiwavelet to recognize power system disturbances. The disturbance classification schema is performed with multiwavelet neural network (MWNN). It performs a feature extraction and a classification algorithm composed of a multiwavelet feature extractor based on norm entropy and a classifier based on a multi-layer perceptron. The performance of this classifier is evaluated by using total 1000 PQ disturbance signals which are generated the based model. The classification performance of different PQ disturbance using proposed algorithm is tested. The rate of average correct classification is about 99.65% for the different PQ disturbance signals and noisy disturbances.
Preparation of Nickel Nanoparticles via Laser Ablation in Liquid and Simultaneously Spectroscopy
Authors: Jaleh B. , Torkamany M.J. , Golbedaghi R. , Noroozi M. , Habibi S. , Samavat F. , Hamedan V. Jaberian , Albeheshti L.
Published: December 2011

Nickel nanoparticles were prepared via Nd:YAG pulsed laser in methanol. Nanoparticles morphology have been studied by transmission electron microscope (TEM). X-ray diffraction was carried out to study the structure of laser generated nanoparticles. The optical properties of nanoparticles in liquid were investigated through UV-Vis spectroscopy. The magnetic property of Ni was studied with vibrating sample magnetometer (VSM). The information about the laser ablation conditions could be deduced from the plasma, created during the material removal due to the very fast expansion of metallic vapours.
A Novel Approach for the Early Detection and Identification of Botnets
Authors: Benson Edwin Raj S. , Jayanthi V.S. , Shalini R.
Published: December 2011

Botnets are growing in size, number and impact. It continues to be one of the top three web threats that mankind has ever known. The botnets are the souped-up cyber engines driving nearly all criminal commerce on the Internet and are seen as relaying millions of pieces of junk e-mail, or spam. Thus, the need of the hour is the early detection and identification of the heart of network packet flooding or the C&C centre. Most of the botmasters perform DDos attacks on a target server by spoofing the source IP address. The existing botnet detection techniques rely on machine learning algorithms and do not expound the IP spoofing issue. These approaches are also found to be unsuccessful in the meticulous identification of the botmasters. Here we propose an architecture that depend on the PSO-based IP tracebacking. Our architecture also introduces the IP spoofing detector unit so as to ensure that the Traceback moves in the right direction. The approach also detects the zombies and utilizes the PSO optimization technique that aid in the identification of the C&C node. The experimental results show that our approach is successful in prompt detection of the bots.
Software Testing Model for Quality
Authors: Kanawat Sachin Dev , Pandey Apurva , Singh Abhishek , Maloo Anurag
Published: December 2011

Software testing plays an important role during the software developing period. Any saving on software test will significantly reduce the total cost of software. The key point of this paper is to build a software testing process with the cost control management and to make tradeoffs between the software quality and the software cost. Typical software testing model are analysed and compared. A Quality controlled 3-D testing model is introduced. The model combined with software test process, software quality cost and the testing type. The computational formula is defined to calculate software quality cost. A software quality balance law is introduced to balance control and failure cost. By adjusting software testing method and strategy, organization can reach the objective of the best balance between software quality and the software cost. The result shows an optimistic point that will prove the accurate of the model and the law introduced.
Comparison on the Electrical, Structural and Optical Properties of CuI Thin Films Deposited by Spin Coating and by Atomization Method
Authors: Nur Amalina Muhamad , Azman Muhammad Atiq , Noor Uzer Mohd , Mahmood Mohamad Rusop
Published: December 2011

In this study, a novel approach of using two different methods was investigated to prepare the CuI thin films. The CuI thin films in this research were prepared by spin coating method and by mister atomizer. Both methods used CuI powder as a precursor and acetonitrile as a solvent. The thickness of CuI films in this research range from nm – um thickness depending on the deposition technique. The 2 point probe I-V measurement was used to measure the electrical properties. The resistivity of about 106 Ω cm-101 Ω cm was observed with CuI thin films using spin coating technique. Then, the surface morphology shows all the films exhibit a microsturucture CuI particles in a case of mister atomizer method. For optical measurement, the ultraviolet-visible- near infrared (UV-VIS-NIR) measurement (Perkin Elmer Lambda 750) was used. The optical band gap of about ±3.1 eV and ±2.9 eV were observed in those CuI films. These properties of different technique are applicable for application in electronic devices such as in solar cells.
Robust Feedback Linearization Approach to Pitch Autopilot Design
Authors: Godbole Ashwini A. , Talole S. E.
Published: December 2011

This paper presents a robust Feedback Linearization (FL) based pitch plane autopilot design for a highly maneuvering, skid-to-turn, tail controlled tactical missile. Owing to the highly nonlinear missile dynamics, ﬁrstly a feedback linearization based controller is proposed. As the resulting design lacks robustness, the issue is addressed by robustifyng the FL based controller using Extended State Observer (ESO). The system uncertainties are estimated by the ESO and the estimate is used in the FL control to nullify it’s effect. A novel feature of this technique is that it does not require any knowledge of the system uncertainty. Simulation results are presented to demonstrate the effectiveness of the proposed approach.
Pareto Optimal Robust Design of Fuzzy Fractional-Order Pid Controllers
Authors: Nariman Zadeh Nader , Hajiloo Amir
Published: December 2011

In this paper, a multi-objective uniform-diversity genetic algorithm (MUGA) is used for Pareto optimum design of fuzzy fractional-order PID controllers for plants with parametric uncertainties. Two conflicting objective functions have been used in Pareto design of the fuzzy fractional-order PID controller. The results clearly show that an effective trade-off can be compromisingly achieved among the different fuzzy fractional-order PID controllers obtained using the methodology of this work and to achieve a robust design against the plant’s uncertainties.
Gain and Order Scheduling of Optimal Fractional Order PID Controllers for Random Delay and Packet Dropout in Networked Control Systems
Authors: Pan Indranil , Das Saptarshi , Mukherjee Ayan , Gupta Amitava
Published: December 2011

Application of fractional order (FO) PID controllers has been proposed over an unreliable network with random delays and packet dropouts. The gain and order of the controllers have been tuned offline to obtain optimal time domain performance for different network conditions with the help of Genetic Algorithm (GA). The FO controller parameters are then scheduled for time varying network conditions and the performance is compared with their integer order counterparts.
Utilizing an Adaptive Controller (Azadi Controller) for Trajectory Planning of PUMA 560 Robot
Authors: Azadi Sassan
Published: December 2011

This research work was devoted to present a novel adaptive controller which uses two negative stable feedbacks with a positive unstable positive feedback. The positive feedback causes the plant to do the break, therefore reaching the desired trajectory with tiny overshoots. However, the two other negative feedback gains controls the plant in two other sides of positive feedback, making the system to be stable, and controlling the steady-state, and transient responses. This controller was performed for PUMA-560 trajectory planning, and a comparison was made with a fuzzy controller. The fuzzy controller parameters were obtained according to the PSO technique. The simulation results shows that the novel adaptive controller, having just three parameters, can perform well, and can be a good substitute for many other controllers for complex systems such as robotic path planning.
Robot Dancing: What Makes a Dance?
Authors: Tholley Ibrahim S. , Meng Qing Gang , Chung Paul W.H.
Published: December 2011

In this paper, we investigate the mechanics of dance for humans that can be applied to robots, in an attempt to make dancing robots learn the fundamentals of dance, and improve their dancing. We provide a conceptual definition of ‘dance’ and ‘movement’ to make robot dancers form their own movements to music. We used a virtual robot dog to experiment on our conceptual definitions, and human subjects to give their feedback on the robot’s dancing. Experimental results show that the robot learns (using reinforcement learning) our conceptual definition of ‘dance’ and that a dance that has structure and fundamental joint movements, improves the dancing.
Robust Adaptive Fuzzy Logic Controllers for Intelligent Universal Transformers in ADA
Authors: Sadeghi Maryam , Gholami Majid
Published: December 2011

Intelligent Universal Transformer (IUT) will comprise in Advanced Distribution Automation (ADA) with a new invention in control and management in future. It evolves with a high speed traditional transformer in addition to power electronic base construction will eventuate to oil elimination, dimensional size and weight reduction. Adaptive Fuzzy Logic Control (AFLC) is an adaptive progressed method with the high system performance capability being raised even on the uncertainty conditions. It enhances system stability, improves flexibility and releases designers from precise mathematical model utilization. Expert designer Knowledge is a critical requirement for conventional fuzzy logic controller (FLC), in contrast the AFLC rules and parameters are generated by adaptive model and human knowledge will downright initialize the first parameters values. In this approach four layers IUT topology is considered for developing the end user service options as 48V DC, reliable power as 240V AC 400HZ and three phase power option. AFLC schemes are proposed for employing current and voltage controllers in input output stages. Real time voltage regulation, automatic sag correction, Harmonic Filtering, energy storage option and dynamic system monitoring are the resulting benefits of using IUT four layers topology. AFLC methodology, leading the system robustness in any cases of grid and load disturbances.
Direct Kinematic Analysis of a Hexapod Spider-Like Mobile Robot
Authors: Ghayour Mostafa , Zareei Amir
Published: December 2011

In this paper, an appropriate mechanism for a hexapod spider-like mobile robot is introduced. Then regarding the motion of this kind of robot which is inspired from insects, direct kinematics of position and velocity of the centre of gravity (C.G.) of the body and noncontact legs are analysed. By planning and supposing a specific time variation for each joint variable, location and velocity of the C.G. of the robot platform and angular velocity of the body are obtained and the results are shown and analysed.
On IT Enabling of Business Process Reengineering in Organizations
Authors: Sungau Joseph , Msanjila Simon Samwel
Published: December 2011

Business Process Reengineering (BPR) is a management approach used to improve organizational performance through restructuring production activities of the core services for the purpose of enhancing their efficiency and effectiveness. Although BPR improves the efficiency of processes, it can hardly be applied in its own and thus it needs to be complemented with other concepts from other disciplines. Information technology (IT) tools are seen as accuracy and effective enabler of BPR approach in restructuring activities. This paper focuses on analyzing on how IT can be an enabler of BPR approach to restructuring processes in an organization for the purpose of enhancing the effectiveness and efficiency of processes. It presents the roles of IT in BPR for organizations. It also presents challenges on organizations when implementing the BPR.
Digital Image Processing Applied in Wheel Hub PCD Measurement
Authors: Sheng Hong Yu , Yu Hong Juan , Wan Dong , Wang Yue Yue
Published: December 2011

The wheel hub PCD (Pitch Circle Diameter) is the diameter of the circle whose circumference connects the centers of all bolt holes in the hub. Common bolt patterns are four, five and six-hole patterns, etc, and the product of the number of holes and PCD is an important parameter of wheel hubs. This article discusses the digital-image-processing-aided precise measurement of geometric data of hole-distributions, such as bolt-hole-center coordinates x0 and y0, pitch circle diameter PCD, angle between adjacent bolt holes θ, axle-hole-center coordinates and the radius from each bolt hole to the center of the axle hole, etc.
Investigations about Feasibility of Mg-Sr Master Alloys Production by Metallothermic Reduction of SrO
Authors: Yang Ming Bo , Li Hui , Zhang Wei , Zhou Tao
Published: December 2011

In the paper, the feasibility of the Mg-Sr master alloys production by the metallothermic reduction of SrO into magnesium melt was investigated. The results preliminarily indicated that it was feasible to produce the Mg-Sr master alloys by the metallothermic reduction of SrO into magnesium melt. The mechanism about the production of the Mg-Sr master alloys by the metallothermic reduction of SrO into magnesium melt was possibly related to the following reaction: SrO(s) +Mg(l) =[Sr]+MgO(s) . In the further study, the effects of the technological factors such as holding time and holding temperature on the Sr content of the Mg-Sr master alloys produced by the metallothermic reduction of SrO into magnesium melt needed to be considered.
Research on Optimal Cutting Parameters of High-Speed Machining Based on Taguchi Method
Authors: Tang Zhong Lin , Liu Hong Bin
Published: December 2011

In order to find optimal cutting parameters of carbon steel C45, the optimizing experiment of the cutting parameters in High-Speed Machining based on Taguchi method is presented in this paper. High-Speed milling experiments were designed with high-speed machining tool and surface roughness tester as the equipment. The cutting speed, the feed per tooth and the cutting depth were selected as the cutting parameters while the surface roughness was taken as the criterion. The mean surface roughness and SNR of every factor at different levels was obtained. The effects of these parameters on the surface roughness have been researched by means of the analysis of variance, and then the optimal cutting parameters were found.
Human Performance in Telerobotics Operations
Authors: Espingardeiro António
Published: December 2011

The use of teleoperated robots is increasing substantially. The possibility of controlling these machines remotely in dangerous or inaccessible environments like outer space, deep water, nuclear or biologically chemically toxic environments, mines, construction sites and fires proved to be a powerful resource. However the successful requirements for telerobotics operations are still broad and imprecise. In this paper we present an analysis for a set of requirements in telerobotics operations. The approach consisted on testing some physical and psychological factors under the control of a teleoperated robot. The behavior of several human participants was recorded in real time and subsequent analyzed. The research is conducted mainly for understanding some of the factors that can map the human confidence in these kinds of scenarios. With a broad spectrum of immersive displays and network bandwidths increasing every day these requirements are becoming extremely precious for the design and implementation of telerobotics systems.
Enchanced Expression of Gene Data
Authors: Dukhi Rashmi G.
Published: December 2011

DNA microarray analysis has become the most widely used functional genomics approach in the bioinformatics field. Biologists are vastly plagued by the enormous amount of unprecedented qualities of genome-wide data produced by the DNA Microarray experiment.Clustering is the process of grouping data objects into set of disjoint classes called clusters so that objects within a class are highly similar with one another and dissimilar with the objects in other classes. It is presently the far most used method for gene expression analysis which provides a divide-and–conquer strategy to extract meaningful information from expression profile.In transcriptomics,clustering is used to build groups of genes with related expression patterns (also known as coexpressed genes). Often such groups contain functionally related proteins, such as enzymes for a specific pathway, or genes that are co-regulated. This paper presents a review on the recently development of microarray clustering techniques followed by the different categories of gene expression data clustering.