bluuebunny/crossref_metadata_2025 huggingface dataset:
Corrosion Analysis of AZ61 Alloy with Different Level of Ca Addition and Aging
Authors: Manivannan S. , Sathishkumar M.P. , Kumaresh Babu S.P. , Sundarrajan Srinivasan
Published: July 2014

The corrosion behavior of AZ61 alloyed with 0.5, 1.0, 1.5 and 2.0% Ca were studied by potentiostatic polarization technique in 3.5wt. % NaCl solution and the further effect of corrosion behavior have been studied after aging at different temperature in a controlled environment.The results show that the calcium addition enhances the corrosion resistance.Simultaneously when the alloy is aged at 180°C, the corrosion resistance has improved. This study also reveals the interesting microstructural change that isresponsible for the improved corrosion resistance. Themicrostructural characterization of this alloy was studied using Optical and Scanning Electron Microscopy (SEM).
Optimization of WEDM Process Parameters
Authors: Singh Vikram , Pradhan Sharad Kumar
Published: July 2014

The objective of the present work is to investigate the effects of various WEDM process parameters like pulse on time, pulse off time, corner servo, flushing pressure, wire feed rate, wire tension, spark gap voltage and servo feed on the material removal rate (MRR) & Surface Roughness (SR) and to obtain the optimal settings of machining parameters at which the material removal rate (MRR) is maximum and the Surface Roughness (SR) is minimum in a range. In the present investigation, Inconel 825 specimen is machined by using brass wire as electrode and the response surface methodology (RSM) is for modeling a second-order response surface to estimate the optimum machining condition to produce the best possible response within the experimental constraints.
SiC/Aluminium Co-Continuous Composite Synthesized by Reactive Metal Penetration
Authors: Ramesh R. , Prasanth A.S. , Ragavan M. , Likhith Madamanchi
Published: July 2014

Co-continuous ceramic composites were fabricated with commercially available SiC porous foams as the ceramic phase and aluminium 6021 alloy as the metallic phase using reactive metal penetration (RMP) process. Microstructure studies, compression test, microhardness test and tests to determine the impact strength were performed on the co-continuous composite. The fabricated composite was lighter and it was found to possess properties comparable to aluminium 6021 alloy.
Compaction Characteristics of Tungsten Carbide Based Self-Lubricant Cutting Tool Material
Authors: Muthuraja A. , Senthilvelan S.
Published: July 2014

In this study, an attempt has been made to develop solid lubricant cutting tool material with the aid of powder metallurgy technique. Chosen tungsten carbide, cobalt and calcium fluoride were milled in the planetary ball milling, followed by uniaxial compaction and sintering in a tube furnace. Materials were milled at various hours of milling and compaction pressure to understand the effect of relative density and hardness of sintered specimens. It is found that the relative density of compacted and sintered specimens found to increase with the compaction pressure but decreased with milling time after particular time. From the investigation, 40 hr of milling and 400 MPa compaction pressure found to be suitable for the development of proposed material. In this work, sample density was measured by the Archimedes’ method and hardness was measured by Rockwell hardness tester.
Study of Electromagnetic Forming Process on Tubular Components
Authors: Sriram K. , Shanmuga Sundaram Karibeeran , Arumugam P.
Published: July 2014

Forming processes are defined as to modify the shape of a work piece by deforming it, without the removal of material. To overcome a number of longstanding problems in conventional forming methods such as low production rates, difficulty in forming light weight components etc., an alternate approach of electromagnetic forming process is introduced. Electromagnetic forming (EMF) is a high speed forming process used to form thinwalled work pieces (usually sheets and tubes) that have high electrical conductivity, such as aluminium, copper etc. Electromagnetic tube compression processes, the design of an experimental set up for electromagnetic tube compression process are discussed in detail in this paper
Copper Coated Carbon Nanotube Wick Wetted with Ultrahigh Temperature Ceramic Nanofluid and Silver Nanofluid in Heat Pipes with Enhanced Stability
Authors: Thas C. Smilin John , Gautham S. Mukesh Ram
Published: July 2014

. High thermal conductivity of copper and carbon nano tubes are used in variety of thermal management applications to improve cooling performance. Deposition of copper over these nanotubes increases the hydrophilic wicking surface and increased conductivity and stiffness. The CNT coating and micro patterning are able to provide significant performance enhancements by reducing the surface superheat up to 72% . Conductivity can be increased further by wetting the wicks with conductive fluids. The nanofluids are of great use in this area. Ceramic nanofluid has a very good stability and silver nanofluid has a very good thermal conductivity and hence their mixture is of great use in high temperature applications. Adding of ceramics also ensure the stability of nanofluid suspensions and prevent coagulation.
This paper suggests wetting the wicks with ceramic and silver nano fluid mixture in the ratio of 1:5 to increase conductivity and stability for high temperature applications further.
Microstructure and Mechanical Behavior of Nanoparticles Reinforced Metal Matrix Composites – A Review
Authors: Kumar S. Santhosh , Hiremath Somashekhar S.
Published: July 2014

Micro sized particles such as SiC, Al2O3 and diamond particles reinforced with metal matrix composites are most commonly used in high performance applications like military, automotive and aerospace industries. Nowadays nano sized particles are replacing the micro sized particles because of their improved physical and mechanical properties. This paper reviews the stir processing method, mechanical properties, effect of particle size on properties of composites and structure of the metal matrix composites reinforced with nanoparticles. Among the variety of liquid metallurgy techniques processes available for preparing metal matrix composites, stir casting technique is generally accepted route and currently practised commercially because of its simplicity flexibility and Uniform distribution.
Optimize the Evaporating Heat Transfer Coefficient of Refrigeration System Using Nano Fluid
Authors: Coumaressin T. , Palaniradja K. , Velmurugan K.
Published: July 2014

Improving heat transfer characteristics in refrigeration and air conditioning systems has been intensively studied by many investigators. In the present work the effect of using CuO-R134a in the vapour compression system on the evaporating heat transfer coefficient is investigated by CFD heat transfer analysis using the FLUENT software. An experimental test rig is designed for this purpose. The test section is a horizontal tube in the tube heat exchanger made from copper. The refrigerant is evaporated inside an inner copper tube and the heat load is provided from hot water that passing in an annulus surrounding the inner tube. Heat transfer coefficients were evaluated using FLUENT for heat flux ranged from 10 to 40 kW/m2, using nanoCuO concentrations ranged from 0.05 to 1% and particle size from 15 to 70 nm. The measurements indicated that for a certain nanoconcentration as heat flux or mass flux increases the evaporating heat transfer coefficient increases and also that the evaporating heat transfer coefficient increases with increasing nanoCuO concentrations up to certain value then decreases. The obtained evaporating heat transfer coefficient result have been optimized at its maximum value for the best CuOnano particles concentration in R134a refrigerant.
Effect of T6 Heat Treatment in Tribological Properties of A356 Aluminum Alloy Reinforced with Al2O3 Nanoparticles by Combination Effect of Stir and Squeeze Casting Method
Authors: Sekar Kannan , Kanjirathikal Allesu , Joseph M.A.
Published: July 2014

A356 alloys are attractive alternative for automotive and aeronautical applications. In this work the effects of T6 heat treatment in tribological properties of A356 alloy reinforced with Al2O3 nanoparticles of size 30nm are investigated. The percentage inclusions Al2O3 were varied from 0.5 to 1.5wt%. The particles were added with stirring at 400rpm and squeeze casting at 7500c and pressure of 600Mpa in the squeeze casting machine. The tribological properties of the samples were also investigated by pin-on-disk tests at 10,30,50and 70N, sliding speed 0.534m/s and sliding distance 1100m in dry condition. The lowest dry wear rate obtained through T6 heat treatment condition.
A Study on Effect of Shape Irregularities on Collapse Loads of Pipe Bends with Critical Circumferential Throughwall Crack under In-Plane Closing Bending
Authors: Sasidharan Sumesh , Veerappan Arunachalam R. , Shanmugam Subramaniam
Published: July 2014

The presence of thorough wall circumferential cracks has a detrimental effect on collapse load of elbows. The existing theoretical solutions do not correctly quantify the weakening effect due to the presence of the circumferential through wall crack in shape imperfect pipe bends. The present study has been done to investigate the effect of ovality and thinning on the collapse moment of 90° elbow with critical throughwall circumferential crack under in-plane bending moment using elastic-plastic finite element analysis considering large geometry change.
3D Modeling of Wind Turbine Blade Based on SolidWorks
Authors: Cong Wei , Song Shi Ping
Published: July 2014

In this paper, the main design parameters of 750 kw horizontal-axis wind turbine wheel are computed based on simplified theoretical design model; The airfoil coordinates of the blade derived from Profili are spatial switched in Excel, then the spatial coordinates of every foline are obtained; In SolidWorks, the curves of foline outlines are drawn on the basis of former coordinates. Eventually, the 3D model of the blade is created by loft surfacing according to the foline outlines. The blade model created in this paper could be used in the coming finite element analysis.
On the Use of Vector-Valued Intensity Measure to Predict Peak and Cumulative Demands of Steel Frames under Narrow-Band Motions
Authors: Bojórquez Edén , Reyes-Salazar Alfredo , Ruiz Sonia E.
Published: July 2014

In this study, various alternative vector-valued ground motion intensity measures (IMs) are used to estimate maximum inter-story drifts and hysteretic energy demands of steel framed buildings under long duration narrow-band ground motions. The vectors are based on the spectral acceleration at first mode of the structure as first parameterSa (T1). As the second parameter of the vector,IMsrelated to peak, integral and spectral shape parameters are selected. It is concluded that spectral-shape-based vector-valuedIMshave the best relation with maximum inter-story drift and energy demands in steel frames subjected to narrow-band earthquake ground motions.
Effect of Heating and Cooling Mode on Temperature and Enthalpy of Phase Changes in PCM Modified Plaster
Authors: Pavlík Zbyšek , Zmeskal Oldrich , Pavlíková Milena , Černý Robert
Published: July 2014

Temperature and enthalpy of phase changes taking place in PCM (Phase Change Material)-modified plasters within their heating and cooling exposure are studied in the paper. The studied plasters are composed of hydrated lime, pozzolan admixture, silica sand, water, and encapsulated parrafinic wax that is used as PCM. The studied materials are characterized by bulk density, matrix density, and total open porosity. The temperature of phase changes, heat of fusion and crystallization are evaluated by DSC (Difference Scanning Calorimetry) analysis that is performed in inert nitrogen atmosphere. Experimental data reveal a substantial improvement of heat storage capacity of PCM-modified plasters as compared to the reference material without PCM.
A Novel Topology of Resonant Reset Two-Transistor Forward Power Converter
Authors: Xu Guo Ying , Yang Hao , Zou Hua Chang , Liu Kai Yi
Published: July 2014

This document proposes a novel two-transistor forward DC/DC converter with resonance reset. It is recommended because the duty circle is able to exceed 50% and the efficiency of the converter is higher which is superior to the conventional. The principle of operation of the enhanced configuration is illustrated and some simulation is employed to prove its practicability and superiority. Finally a 80V~140V input, 12V/8.3A output DC/DC converter prototype is founded for verification.
Three-Dimensional Measurement of the Hydrocyclone Flow Field Using V3V
Authors: Wang Jian Gang , Wang Hua Lin , Duan Xu
Published: July 2014

The three dimensional three component (3D3C) flow field inside hydrocyclone was investigated using Volumetric 3-component Velocimetry (V3V). To improve the spatial resolution of the measurement, a refractive index matching method is used in the experiment. The three components of the velocity in the hydrocyclonic flow is measured, and the measurement produced huge amount of data, which enabled detailed analysis of the hydrocyclonic flow field. The tangential and axial is quasi-symmetric while the radial velocity is non-axisymmetric. The radial velocity is one order smaller in value than the other two component. Results show V3V with index matching is a robust method to the measurement of hydrocyclone flow field.
Novel Measuring Method of Oxygen Content in La2-xSrxCuOy Superconductors with the Dissolved Oxygen Sensor
Authors: Zhang D. , Kambe S. , Tashiro A. , Ohba Y. , Mizuguchi H. , Ito K. , Kakizaki N. , Okita Y.
Published: July 2014

It is known that Cu valence of cuprate superconductors govern transition temperature (Tc). For La2-xSrxCuOy, when x = 0.15, that is, Cu valence is 2.15, the highest Tc around 40K is achieved. The Cu valence is determined both by strontium and oxygen content. So far, coulometry and iodometry have been used for determining oxygen content. However, these chemical analyses usually require experience. The purpose of this research is to develop a novel measuring method of oxygen content in cuprate superconductors with a developed dissolved oxygen sensor. Signal received from the sensor is sent to PC automatically without any external power supply. Oxygen content obtained with the sensor was newly compared with iodometry. It was found that this method is reliable enough to determine oxygen content in La2-xSrxCuOy, and is called dissolved oxygen method.
Design Optimization and Finite Element Analysis of 3C-SiC Bio-Sensors Based on Dogbone Resonator
Authors: Iqbal Abid , Mohd-Yasin Faisal , Dimitrijev Sima
Published: July 2014

This paper presents the optimized design and Finite Element Analysis (FEA) of a bio sensor based on cubic silicon carbide (3C-SiC) for pathogen detection. Silicon Carbide is chosen due to its excellent material properties and chemical stability compared to silicon in varying environmental conditions. The desired resonance frequency is optimized using matlab and the finite element analysis is carried out using COMSOL and Intellisuite software’s. The effect of the residual stress on the desired mode of resonant frequency and the fabrication feasibility of the proposed resonator fabrication are studied using FEA analysis. The mathematical modeling of thermally actuation and piezoresistive sensing for the design resonator bio sensors are illuminated. The close agreement between the analytical model and finite element analysis verify the design of proposed bio sensors.
Research on Non-Contact Three-Dimension Measure System Design of Artillery Parts Distortion
Authors: Yu Wei Li
Published: July 2014

In recently years, in order to exactly judge artillery capability, we should measure important parts of distortion. In this article, we research and design a non-contact three –dimension measure system of artillery parts distortion, and it can get exactly measure results.
Application of Taguchi Method in the Optimization of Antioxidant Activity for Australian Tea Tree
Authors: Wang Shu Wen , Su Te Li , Ye Jhe Yu , Lo Lin
Published: July 2014

Tea tree is the general term for many species of melaleuca plants. The essential oil or liquid extracted from Australian tea tree can be added to cosmetics and care products. The experimental parameters of solvent extraction are the key factors influencing the antioxidant activity of Australian tea tree. This study used the orthogonal array of the Taguchi method to plan the experiment. The quality data obtained from experiment were analyzed by the factor effects of the Taguchi method to find the significant experimental parameters influencing the antioxidant activity of Australian tea tree, and obtain the optimal experimental parameter combination of solvent extraction for antioxidant activity. Finally, the reliability of the experiment was validated by a confirmation experiment. According to the experimental results, this method was applicable to the optimization problem of the experimental procedure. The optimization can be implemented for objective numerical analysis operation, saving on experimental consumables, time and cost.
Comparison of Efficacy and Safety of Aripiprazole and Risperidone in the Treatment of Behavioral and Psychological Symptoms of Dementia
Authors: Luo Ke Yong , Fu Hua Bin
Published: July 2014

Objective To assess the effect and safety of aripiprazole and risperidone in the treatment of Behavioral and psychological symptoms of dementia (BPSD). Methods 68 dementia were randomly divided into aripiprazole group (n=34) and risperidone group (n=34) with a course of 8 weeks. BEHAVE-AD and TESS were used to evaluate the efficacy and adverse effect respectively before and at the ends of 8 weeks treatment. Their levels of blood glucose, total cholesterol (TC), triglyceride (TG), high Density lipoprotein–cholesterol (HDL), low density lipoprotein–cholesterol (LDL) and weight were measured at baseline and after 8 weeks. Results After 8 weeks treatment, the scores of BEHAVE-AD of patients in both groups significantly reduced (P<0.001),but there were no significantly difference between the two groups (P>0.05);there were few side effects in the two groups, but the weight gains, total cholesterol and LDL in risperidone group were higher effect than before treatment. The aripiprazole group had no significantly change. Conclusion The results suggest that aripiprazole is as effective and safety as risperidone for the treatment of BPSD, but aripiprazole has fewer effects on blood glucose, lipids and weight than risperidone.
Predictive Models for Pre-Operative Diagnosis of Rotator Cuff Tear: A Comparison Study of Two Methods between Logistic Regression and Artificial Neural Network
Authors: Lin Chen Chiang , Chan Hsin Hui , Huang Chen Yuan , Yang Nang Shu
Published: July 2014

Rotator cuff tears are the most common disorder of the shoulders.agnetic resonance Image (MRI) is the diagnostic gold standard of rotator cuff tears. However, there are some dilemmas in the rotator cuff tears treatment. Clinically, surgical results of rotator cuff tears are sometimes different from MRI results of rotator cuff tears. The main purpose of this study is to build up predicative models for pre-operative diagnosis of rotator cuff tears There are two models of this study are proposed: logistic regression model and artificial neural network model. Patients are divided into two sets: Set1 is patients with full thickness rotators cuff tears. Set 2 is patients with partial thickness rotators cuff tears. The charts of 158 patients are completely reviewed and the collected data were analyzed. The results showed that the predictive accuracy of artificial neural networks model is higher than the predictive accuracy of logistic model. The application of this study can assist doctors to increase the accuracy rate of pre-operative diagnosis and to decrease the legal problems.
Coupling Analysis of Beta Rhythm Electroencephalogram Based on the Multiscale Mutual Mode Entropy
Authors: Ji Ning , Tan Jun , Pei An Shan , Dai Jia Fei , Wang Jun
Published: July 2014

This paper presents the Multiscale Mutual Mode Entropy algorithm to quantify the coupling degree between two beta rhythm EEG time series which are simultaneously acquired. The results show that in the process of scale change, the young and middle-aged differ from each other in terms of the coupling degree of beta rhythm EEG and the difference grow clear gradually from 4th scale. So the Multiscale Mutual Mode Entropy can be used to analyze the coupling information of time series under different physiological status. Besides, as an indicator of measuring brain function, in the future it can also come to the aid of clinical evaluation of brain function.
Co-Producing Active Carbons and Sodium Silicate from Pyrolyzed Rice Husk by CO2 Activation Coupled with NaOH Solution Boiling
Authors: Li Da Wei , Zhu Xi Feng
Published: July 2014

Active carbon and sodium silicate were produced simultaneously from pyrolyzed rice husk (PRH) by CO2 activation coupled with NaOH solution boiling. Doehlert matrix and Derringer's desirability function were applied to optimizing the boiling conditions to achieve a large specific surface area, a high silica extraction and low alkali consumption. In terms of this purpose, the optimum condition was determined as boiling CO2-activated char with 1mol/L NaOH solution at a liquid/solid ratio of 9.7 mL/g. Under this condition, the modulus of the sodium silicate and the specific surface area (SSA) of the active carbon were 2.62 and 897 m2/g, respectively. The values both reached their respective commercial levels. The pretreatment of the PRH with CO2 activation can markedly increase the SSA of active carbons.
Phenomenological Interpretation of Classical Expression for Force Affecting a Ferroparticle in the Magnetic Field
Authors: Sandulyak Anna , Sandulyak Alexander , Ershova Vera , Snedkov Alexander , Sandulyak Darya
Published: July 2014

The unprecedented attempt has been made to fully expand classical and often quoted (above all by magnetic separation regimes and conditions analysis) expression for the force affecting the ferroparticle in magnetic field with the functional character of the following parameters of this expression being taken into account: magnetic induction, magnetic gradient and ferroparticle magnetic susceptibility. For this purpose a particular case of force impact has been analyzed in field approximating one-dimensional field. This field is produced in module of two distantly oriented magnetic elements.
The obtained dependences for magnetic induction, magnetic gradient and ferroparticle magnetic susceptibility (according to distance x to polar surface one of the magnetic elements) have been used. By the analysis the fact has been taken into account that ferroparticle magnetic susceptibility depends on its shape as well as substance magnetic susceptibility depends, in its turn, on magnetic field intensity around ferroparticle. In other words, magnetic susceptibility of material depends on distance x to polar surface usually being ignored.
The analysis of the following expanded variant of magnetic force expression allows to determine that phenomenological dependence (on parameter x) which has a very simple exponential form can be an alternative to this expression. Such dependence can be reasonably used by decision-making in theoretical and practical tasks of magnetic separation. The undertaken attempt to specify the role of another parameter B0 – magnetic induction on polar surface (that is often considered as the most essential) – shows the power (approximating square) character of magnetic force concerning this parameter.
Reconstruction Analysis of LH45 Type High Pressure Triplex Plunger Pump Shell
Authors: Wang Chang , Gao Jing Jing
Published: July 2014

Due to the corrosion of liquid and dual role of job stress, the pump housing of the LH45 type three cylinder high pressure plunger pump was caused the breakage in the practical work, and its service life was greatly reduced. Studied the pump housing broken state and laws to selected material to manufacture. Established 3D entity of the pump housing model in the 3D CAD software so that the stress and strain state of remade shell can be analyzed using finite element software ANSYS. Compared with the state of stress and strain before shell remaking, the pump housing remaking is proved to be valid.
The Research on Construction of Open Hierarchical Practical Teaching System
Authors: Wang Zhuo Yuan , Li Lin Gong , Wang Yi Gang
Published: July 2014

In order to make all students choose their own personal practice activities according to their actual needs, an opening hierarchical practice teaching system is designed. The system can provide an abundant, progressive, alternative, developmental practice way for students to choose their practical activities, which is designed through five aspects such as practical course, course contest, students’ scientific research, participating in teachers’ scientific research, enterprise practice. In addition, the system can make students get what they need, do their best, do their respective development, show their own characteristics; it also enables excellence students to surpass themselves, ordinary students to realize their dreams, students with learning difficulties to complete their studies.
Application of Multimedia Technology in Experiment Teaching of Environmental Engineering Microbiology
Authors: Liu Song , Sun Li Na
Published: July 2014

The technology of multimedia aided teaching has been widely used in the professional teaching in higher schools. Starting from the characteristics of the subject of environmental engineering microbiology, discusses the role of multimedia teaching in the experiment teaching of environmental engineering microbe and superiority, discusses how to give full play to advantages of multi-media technology in the teaching practice, the rational use of multimedia technology, to improve the teaching quality and efficiency.
Regarding Calculation of Cross Section of Elevator Conductor and Rated Capacity of Switch
Authors: Huang Guang Ming
Published: July 2014

briefly introduce the operation characteristics of elevator, point out the existing problems of elevator calculation and propose to take different calculation method with respect to different purposes. For example, ensure the calculation of cross section of distribution circuit conductor of single elevator and rated capacity of distribution switch, the calculation of cross section of distribution circuit conductor of elevator group and rated capacity of distribution switch and load calculation of transformer capacity, so as to reach the purpose of energy-saving and emission reduction.
Construct the Virtual Gram Stain Experiment Platform Based on 3DMax and VRP
Authors: Liu Song , Sun Li Na
Published: July 2014

the paper deals with the present research situation of the construction of virtual experiment platform, construct the model with 3DMax software, for the construction of experimental platform by the technique of virtual reality software VRP, compiled into executable file (exe). The gram stains method for example, modeling and simulation. Display the application effect of the virtual experimental platform, the virtual experiment platform has the advantages of high utilization rate, easy expansion of functions.
Design of Mine Ventilator Fault Diagnosis System
Authors: Zhao Bai Ting , Jia Xiao Fen , He Yong
Published: July 2014

The common faults of mine ventilator are researched in this paper, and rotor misalignment, unbalance, oil whirl, surge and other faults and fault characterization of the generation mechanism are analyzed. The faults diagnosis system is designed based on rough neural network. First, the characteristics of the type of fault for fan failure data collection, including vibration and temperature signals. Then, the pretreated sample data using rough set attribute reduction method to delete redundant attributes. Finally, the sample data is divided into training and testing samples, were used to train and test the neural network classifier. Experiments show that the system is reliable, diagnostic yield, improved ventilator system security, expanding the scope of application of rough sets.
The Research on Cloud Mobile Office System Development for Enterprise Application
Authors: Wu Fang , Wang Zheng Min , Yao Guang , Miao Zhen Min
Published: July 2014

With the rapid development of science and technology, office automation greatly facilitate the efficiency of the enterprise or the company's office, but the traditional office automation has location and time limit. Along with the development of smart phones and cloud computing, cloud office automatic and mobile office automatic greatly convenient office workers in the enterprise and enterprise, and solved the problem of the traditional mobile office automatic mostly. This article first introduced the thesis research background, analyzes the present situation and existing problems of traditional office automation, through the introduction about cloud computing, mobile devices and related concepts of office automation, cloud mobile office system was put forward, and some solutions are put forward.
An Execution Framework for Domain-Oriented QoS Evaluation of Manufacturing Cloud Services
Authors: Jin Hong , Yao Xi Fan , Zhang Jie
Published: July 2014

Cloud manufacturing is emerging as a new intelligent and collaborative manufacturing model. With the development of virtualization technology, the manufacturing resources can be encapsulated as manufacturing cloud services (MCSs). The accuracy of service quality evaluation is the key to selecting a MCS from many available ones with similar functions but different QoS, but existing QoS evaluation models only focuses on common service attributes, which cannot meet user needs. Hence, this paper presents an execution framework for domain-oriented QoS evaluation for MCSs. Four function modules for domain-oriented QoS evaluation of MCSs were analyzed, and the involving key technologies were discussed as well.
Fuzzy Comprehensive Assessment of Air Material Suppliers
Authors: Lv Zhong
Published: July 2014

Science assessment to air material suppliers is an effective measure that insures cost controlling and safety operating of an airline. Through analyzing the main factors of the air material suppliers, this paper constructs an assessment index system of the air material suppliers. The weights of assessment indexes is determined by means of the analytical hierarchy process (AHP). A assessment model of air material suppliers based on fuzzy comprehensive theory has also been set up. The model is validated through example. This prove that the method can give an overall comprehensive assessment level of the air material suppliers.
Study on Torsion-Eliminating Performance of Laterally Interconnected Air Suspension
Authors: Li Zhong Xing , Ju Long Yu , Jiang Hong , Xu Xing
Published: July 2014

Laterally interconnected air suspension combines the right and left air springs with pneumatic pipes, which can protect the auto-body parts from fatigue damage and increase the service life of vehicles. The mathematical model of full vehicle with laterally interconnected air suspension was established based on the analysis of its working principle, and a test bench was built. The simulation and experimental results show that, laterally interconnected air suspension can reduce the peak of dynamic body torsion load effectively, especially for steady state conditions, in which the body torsion load caused by the spring force can be nearly eliminated.
Rough Match Function Based on Topological Structure
Authors: Zheng Ya Lin
Published: July 2014

In this paper, we introduce a more abstract description of rough set H in the most commonly topological structure in spite of the restriction of equivalence relation R, and the restriction of special topological space induced by R – space. Then we found rough logic based on topological structure T, introduce rough match function O and rough match neighborhood group. Grounded on this, we introduce approximate reasoning match model under the framework of rough logic, simple approximate reasoning model, type VI upper rough algorithm and type VI lower rough algorithm of simple approximate reasoning.
Research of Smart Home System Based on Handheld Device
Authors: Li Bo , Dai Hong Ying , Cheng Hui Fei
Published: July 2014

With the development of science and technology, Samrt Home system has become more and more widely used. In this paper, Smart Home system, based on the handheld device, using ZigBee and WIFI technology to build the internal network, and with the detailed design of the handheld device as the controller center, realizes its control of Smart Home, which also provides an universal solution to the Smart Home.
Ceph CRUSH Data Distribution Algorithms
Authors: Liang Xiao Yang , Guan Zhang Cen
Published: July 2014

CRUSH is one of the Ceph module,mainly solve the controllable, extensible, decentralized distribution of data copy. Ceph's biggest characteristics is a distributed metadata server is through CRUSH algorithm to allocate file storage location, its core is RADOS (Reliable, Autonomic Distributed Object Store), an object storage cluster, provide high availability of the object itself, error detection and repair.
Research of Differential Evolution Algorithm for Motor Control
Authors: Wu Zong Fu
Published: July 2014

An improved differential evolution algorithm for solving nonlinear equations of electrical motor system is explored. The algorithm is to convert equations into an optimization problem and, by keeping consideration of the evolution process and adopting dynamic parameters adjusting mechanism, the algorithm can improve searching efficiency and implement real-time surveillance for population overlapping. The Chaos searching strategy is used for overlapping individual to further improve the ability of global optimization. Analysis results of induction motor motion parameters show that the improved differential evolution algorithm proposed in this paper has high efficiency and powerful global optimization searching ability.
SVR Based Modeling Method to Structures Finite Element Uncertainty Propagation Analysis
Authors: Zhu Yue , Zhu Si Hong
Published: July 2014

Aiming at the uncertainty propagation analysis in modeling of FE model for structure, supported Vector Regression (SVR) method was presented to construct the implicit mapping between structure response and uncertainty parameters. The computational process of forward transfer of uncertainty parameters has been clarified. Three level testing criteria was used to evaluate extensively precision and generalization ability of RSM(Response Surface Modeling) based SVR. The super parameters in RSM were clarified through graded cross-validation. Uncertainty quantization analysis of GARTEUR model prove that the RSM based SVR has higher accuracy. Confidence level 95% finite element model was built because the confidence interval of nature frequency mean-value and variance were computed.
An Improved RFID Tag Collision Algorithm
Authors: Ran Tian Bao , Wu Xi Sheng
Published: July 2014

Tag collision is a very important research direction in the RFID system. Probabilistic solving algorithm is one of the important way to solve the tag collision, dynamic frame slot ALOHA (DFSA) algorithm is more commonly used at present and the probabilistic algorithm with better effect. This paper proposes an Advanced DFSA (ADFSA) which is based on a dynamic frame slot ALOHA algorithm, combined with multiplier factor and grouping thoughts. the algorithm is simple, at the same time, the simulation results show that IDFSA algorithm has better performance.
The Prediction of Grounding Grid Corrosion Rate Using Optimized RBF Network
Authors: Song Chun Feng , Hou Yuan Bin , Du Jing Yi
Published: July 2014

Because the grounding grid corrosion rate has the property of nonlinearity and uncertainty, it is very difficult for us to predict precisely. The approach is proposed that ant colony clustering algorithm is combined with RBF neural network to predict the grounding grid corrosion rate, using ant colony clustering algorithm to get the center of hidden layer neurons. To find the best clustering result, local search is applied in ant colony algorithm. This model has good performance of strong local generalization abilities and satisfying accuracy. At last, it is proved with lots of experiments that the application is fairly effective.
Research on Multi-Agent Formation’s Obstacle Avoidance Problem Based on Three-Dimensional Vectorial Artificial Potential Field Method
Authors: Dai Ji Yang , Yin Lin Fei , Peng Chen , Yang Bao Jian , Wang Cun Song
Published: July 2014

In order to solve the obstacle avoidance problem when the Multi-Agent formation get through the area full of obstacles, improved the traditional Artificial Potential Field method, add the vectorial information to the agent’s model, presented the Three-Dimensional Vectorial Artificial Potential Field method (TDVAPF). Firstly, improved the model of agent, obstacle and target; then, improved the Multi-Agent formation motion model, the Multi-Agent formation’s structure is “pyramid” structure; Finally, improved the agent’s force, add the “rotational force” to the agent’s force, it makes agent avoid the “local trouble”. The numerical simulation verified the correctness and effectiveness of the TDVAPF method in Multi-Agent formation’s obstacle avoidance problem.
A Model of Predicting Corrosion Rate for Substation Grounding Grid Based on the Similarity and Support Vector Regression
Authors: Du Jing Yi , Han Juan , Zhao Yue Jiao , Liu Wen Hui
Published: July 2014

In this paper, we proposed a training model to predict the corrosion rate for substation grounding grid based on the Similarity and Support Vector Regression (SSVR). In the proposed model, the effect of grounding grid corrosion rate was acted as a feature vector and processed by a dimensionless treatment. Then, the similarity between the feature vector of training terminal and index vector of actual site would be calculated. In the prediction of corrosion rate, the traditional Linear Average Method (LAM) to describe the nonlinear contribution has some fault defects. Therefore, we proposed the training model named SSVR. From the experimental results, the proposed SSVR can obtain better predicting performance than the traditional LAM.
Efficient Graph Component Labeling on Hybrid CPU and GPU Platforms
Authors: Pan Xiao Hui
Published: July 2014

Graph component labeling, which is a subset of the general graph coloring problem, is a computationally expensive operation in many important applications and simulations. A number of data-parallel algorithmic variations to the component labeling problem are possible and we explore their use with general purpose graphical processing units (GPGPUs) and with the CUDA GPU programming language. We discuss implementation issues and performance results on CPUs and GPUs using CUDA. We evaluated our system with real-world graphs. We show how to consider different architectural features of the GPU and the host CPUs and achieve high performance.
E-Bayes Estimation of Laplace Distribution Parameter under Q-Symmetric Entropy Loss Function
Authors: Liu Huan Bin , Yin Tong , Wang Cheng
Published: July 2014

This paper provides the E-Bayes estimation and hierarchical Bayes estimation of Laplace distribution parameter under q-symmetric entropy loss function when the prior distribution is Beta distribution. The relation between E-Bayes estimation and hierarchical Bayes estimation is discussed. Numerical simulation results show that these two types of estimation are progressively equal, and E-Bayes estimation is more convenient in terms of calculation.
A Local Optical Flow Constraint Target Extracting Algorithm of Kalman Filter Based on Background Modeling
Authors: Wang Yan Ni
Published: July 2014

Owing to the problems of inter frame difference method cannot extract the entire target and most optical flow algorithms with computational time, poor real-time performance, a local optical flow constraint target extracting algorithm of Kalman filter based on background modeling is proposed. Firstly use Kalman filter method based on background modeling predict and update the background, then make Lucas-Kanade local optical flow algorithm search the background changing region, finally determine the gray contour, extract target. Compared with the classical algorithms, the simulation results show that new algorithm can extract the moving object quickly and accurately, and has better robustness to the environment changes and target circuitous movement.
A Novel HOG Descriptor with Spatial Multi-Scale Feature for FER
Authors: Tong Ying , Jiao Liang Bao , Cao Xue Hong
Published: July 2014

HOG Feature is an efficient edge information descriptor, but it ignores the spatial arrangement of local FER features. In this respect, this paper puts forward a spatial multi-scale model based on an improved HOG algorithm which uses canny operator instead of traditional gradient operator. After the image is divided into a series of sub-regions layer by layer, the histogram of orient gradients for each sub-region is calculated and connected in sequence to obtain the spatial multi-scale HOG feature of whole image. Compared with traditional HOG and the improved PHOG, the proposed SMS_HOG algorithm acquires 5% recognition rate improvement and 50% processing time reduction.
An Image Retrieval Algorithm Based on Region Segmentation
Authors: Xiong Xiao Mei , Liu Yong Lang
Published: July 2014

Visual image, as a kind of rich content and performance of multimedia information, has been tremendously popular for a long time. Image retrieval technology is complicated than text retrieval, due to text-based image retrieval is often need manual annotation, so very laborious and individual subjective factors are there. In order to solve these problems, this paper puts forward a kind of image retrieval algorithm based on improved region segmentation. First, use of image segmentation technology, dividing the image into several regions, then to match each region and the being tested image, and obtained retrieval results in the end. It can be seen through experiment, the user only needs to submit a retrieval image, so it can greatly reduce the user's retrieval burden, and improve the efficiency of retrieval.
Image Quality Assessment Based on Region of Interest
Authors: Wang Yue , Lin Zeng Gang , Liao Zi Cheng
Published: July 2014

In this paper a new No-Reference (NR) image quality assessment (IQA) method based on the point wise statistics of local normalized luminance signals using region of interest (ROI) processing is proposed. This algorithm firstly extracts the ROI which is relative to human subjectivity by using the image gradient and phase congruency, and then extracts the image quality feature in spatial domain. Particularly, most of the present IQA methods mainly focus on predicting the image quality with respect to human perception, yet, in some other image domains, the final receiver of a digital image may not a human. Thus, we propose a method which can assess the image quality relative to edge detection algorithm. In addition, experimental results on LIVE database are provided to justify the superior compared to the significant image quality metrics.
Mathematical Morphology Based Moving Object Detection Algorithm under Complicated Background
Authors: Zhou Jun
Published: July 2014

In many applications of modern world, moving object detection is an important work. Especially, the detection of moving object under complicated background has more difficult. On the basis of introduction of conventional detection methods such as temporal difference detection (TDD) and background subtraction detection, the paper proposes a new mathematical morphology based moving object detection algorithm in view of complicated background. The proposed algorithm utilizes the opening and closing operations to process the temporal differenced image. Then, it compares the processed image with the background differenced image. The experimental results show that the proposed algorithm can be able to detect the moving object effectively under complicatedly external environment and has a higher detection precision in contrast with the conventional temporal detection method..
Video Time-Space Body Filtering Based on Dual-Directional Markov Chain Monte Carlo Particle Filter
Authors: Song Jin Bao , Ye Long , Zhang Qin
Published: July 2014

Nowadays with the blooming development of new media and cultural creative industries, the video animation has drawn so many researchers’ attention due to animation production efficiency and animation expression. This paper aims at the difficulty that lack of observation model, proposes a method of video time-space body filtering based on dual-directional Markov chain Monte Carlo particle filter for video motion redirection. At first, after extracting the key frame of a given video, by affine transformation and linear superposition, the subject initializes the video’s time-space parameters and forms the observation model; Secondly, in each time-space body, based on the bi-directional Markov property of each frame, this paper proposed a dual-directional Markov chain Monte Carlo sampling particle filter structure and takes full advantage of the relationship of the front and back frame of the parameters to estimate motion redirection parameters. The research of this paper will produce an efficient and prominent animation expressive video motion redirection method and play an important role on video animation of the development.
Voice Assistant — Application of Speech Recognition Technology in the Android System
Authors: Liu Ge , Zhang Hai Bing
Published: July 2014

This paper introduces the concept of Voice Assistant, the voice recognition service providers, several typical Voice Assistant product, and then the basic working process of the Voice Assistant is described in detail and proposed the technical bottleneck problems in the development of Voice Assistant software.
Rolling Bearing Fault Diagnosis with EMD-Based Fault Characteristic Frequency Difference Analysis
Authors: Guo Yan Ping , Xiong Yu , Song Guo Cui
Published: July 2014

This paper presents a novel single-point rolling bearing fault diagnosis mechanism through vibration signal analysis. It is highlighted that the rolling bearing operational state can be well estimated by the first small set of Intrinsic Mode Function (IMF) components of the original vibration measurements through Empirical Mode Decomposition (EMD). These IMF components can be further translated into envelope spectrum by using Hilbert Transform. As a result, the difference of fault characteristic frequencies (DFCF) is derived to properly characterize different fault patterns for fault diagnosis. The suggested method is implemented and evaluated in a rolling bearing test bed for a range of failure scenarios (e.g. inner and outer raceway fault, rolling elements fault) with extensive vibration measurements. The result demonstrates that the proposed solution is effective for characterizing and detecting arrange of rolling bearing faults.quality).
Change Detection in SAR Images Based on Semi-Supervised Learning
Authors: Tian Song , Song Jian She , Tian Shu Bing , Gong Wei
Published: July 2014

Support Vector Machine (SVM) is a supervised approach, which needs large numbers of labeled samples. However, it is difficult to obtain such samples for change detection based on SAR images and the available labeled samples are very limited. this paper proposes a semi-supervised support vector machine (S3VM) unsupervised SAR image change detection. Using of K-means clustering method obtain threshold of image; introduce offsets which are automatically selected to achieve a pseudo-training set and unlabeled set; Finally, based on the statistical characteristics of semi-supervised support vector machines for image change and non-change class. The experimental results showed that: In the case without using noise reduction and the reduction in the number of samples, the proposed algorithm can maintain better classification, generalization and more stable detection accuracy.