bluuebunny/crossref_metadata_2025 huggingface dataset:
Modeling Subsurface Hillslope Runoff Dominated by Preferential Flow: One‐ vs. Two‐Dimensional Approximation
Authors: Dusek Jaromir , Vogel Tomas
Published: May 2014

Shallow saturated subsurface flow, frequently observed on hillslopes of headwater catchments in humid temperate climates, often dominates hydrologic responses of the catchments to major rainfall events. Typically, these responses are significantly affected by the presence of preferential flow. Reliable prediction of runoff from hillslope soils under such conditions remains a challenge. In this study, two approaches to modeling hillslope responses to rainstorms, which differ in dimensionality and thus also in the complexity of geometric, material, and boundary conditions, were tested and used on the hillslope discharge data observed in an experimental trench. In the one‐dimensional (1D) approach, 1D variably saturated vertical soil water flow is combined with 1D lateral saturated flow above the soil–bedrock interface. In this approach, vertical flow is modeled by means of a dual‐continuum concept involving two coupled Richards' equations (representing flow in the soil matrix and in the preferential pathways), while lateral flow is described by the diffusion wave equation. In the two‐dimensional (2D) approach, the movement of water in a variably saturated hillslope segment is modeled as vertical planar flow (i.e., the vertical and lateral flow components are fully integrated into one flow system). Similar to the 1D approach, the preferential flow effects are implemented in the 2D model by means of the dual‐continuum concept. The two model approaches (1D and 2D) resulted in similar hillslope discharge hydrographs, characterized by short‐term runoff peaks followed by zero‐discharge periods, but the 2D model showed closer agreement between observed and simulated soil water pressure heads near the trench. The sensitivity analysis of soil and bedrock properties confirmed a significant influence of the bedrock saturated hydraulic conductivity on simulated hillslope discharge. The simpler 1D approach, based on the combination of 1D vertical flow and 1D lateral flow, was found to provide a useful approximation of the more complex and flexible 2D system and to be far more efficient in terms of computing time.
Undercut suppression in laser-arc hybrid welding by melt pool tailoring
Authors: Frostevarg Jan , Kaplan Alexander F. H.
Published: May 2014

In welding, high welding speeds are usually limited by an increase in undercut. This study shows that the geometrical conditions of the melt flow can be tailored to suppress undercut when using the arc leading setup. By applying high speed imaging, it can be seen that the keyhole and its position affects the melt flow, making the distance between the laser and the arc an important parameter. Undercut formation usually occurs due to a narrowing or necking of the melt flow behind the gouge that can be prevented if the melt flow is changed by optimizing the laser/arc positioning.
Inhibition of ERN1 modifies the hypoxic regulation of the expression of TP53-related genes in U87 glioma cells
Authors: Minchenko Dmytro O. , Danilovskyi Serhii V. , Kryvdiuk Iryna V. , Bakalets Taia V. , Lypova Nadia M. , Karbovskyi Leonid L. , Minchenko Oleksandr H.
Published: May 2014

Inhibition of ERN1 (endoplasmic reticulum to nuclei 1), the major signalling pathway of endoplasmic reticulum stress, significantly decreases tumor growth. We have studied the expression of tumor protein 53 (TP53)- related genes such as TOPORS (topoisomerase I binding, arginine/serine-rich, E3 ubiquitin protein ligase), TP53BP1 (TP53 binding protein 1), TP53BP2, SESN1 (sestrin 1), NME6 (non-metastatic cells 6), and ZMAT3 (zinc finger, Matrin-type 3) in glioma cells expressing dominantnegative ERN1 under baseline and hypoxic conditions. We demonstrated that inhibition of ERN1 function in U87 glioma cells resulted in increased expression of RYBP, TP53BP2, and SESN1 genes, but decreased expression of TP53BP1, TOPORS, NME6, and ZMAT3 genes. Moreover, inhibition of ERN1 affected hypoxia-mediated changes in expression of TP53-related genes and their magnitude. Indeed, hypoxia has no effect on expression of TP53BP1 and SESN1 in control cells, while resulted in increased expression of these genes in cells with inhibited ERN1 function. Magnitude of hypoxia-mediated changes in expression levels of RYBP and TP53BP2 was gene specific and more robust in the case of TP53BP2. Hypoxiamediated decrease in expression levels of TOPORS was more prominent if ERN1 was inhibited. Present study demonstrates that fine-tuning of the expression of TP53- associated genes depends upon endoplasmic reticulum stress signaling under normal and hypoxic conditions. Inhibition of ERN1 branch of endoplasmic reticulum stress response correlates with deregulation of p53 signaling and slower tumor growth.
Reaching Hard-to-Survey Populations: Mode Choice and Mode Preference
Authors: Haan Marieke , Ongena Yfke P. , Aarts Kees
Published: May 2014

This study assesses the effect of response-mode choices on response rates, and responsemode preferences of hard-to-survey populations: young adults, full-time workers, big city inhabitants, and non-Western immigrants. Using address-based sampling, a stratified sample of 3,496 households was selected. The first group of sample members was contacted face to face and could choose between a CAPI and web response mode. The second group, contacted by telephone, could choose between CATI and web. The third group, contacted by telephone, was randomly allocated to a response mode. Our address-based sampling technique was successful in reaching most of the hard-to-survey groups. Insufficient numbers of non- Western immigrants were reached; therefore this group was excluded from our analyses. In our mixed-effect models, no significant effects on the willingness to participate were found for mode choice. We found that full-time workers and young adults were significantly more likely to choose web over CAPI when contacted face to face.
Aberrantly Over-Expressed TRPM8 Channels in Pancreatic Adenocarcinoma: Correlation with Tumor Size/Stage and Requirement for Cancer Cells Invasion
Authors: Yee Nelson , Li Qin , Kazi Abid , Yang Zhaohai , Berg Arthur , Yee Rosemary
Published: May 2014

The transient receptor potential melastatin-subfamily member 8 (TRPM8) channels control Ca2+ homeostasis. Recent studies indicate that TRPM8 channels are aberrantly expressed and required for cellular proliferation in pancreatic adenocarcinoma. However, the functional significance of TRPM8 in pancreatic tissues is mostly unknown. The objectives of this study are to examine the expression of TRPM8 in various histopathological types of pancreatic tissues, determine its clinical significance in pancreatic adenocarcinoma, and investigate its functional role in cancer cells invasion. We present evidence that, in normal pancreatic tissues, anti-TRPM8 immunoreactivity is detected in the centroacinar cells and the islet endocrine cells. In pre-malignant pancreatic tissues and malignant neoplasms, TRPM8 is aberrantly expressed to variable extents. In the majority of pancreatic adenocarcinoma, TRPM8 is expressed at moderate or high levels, and anti-TRPM8 immunoreactivity positively correlates with the primary tumor size and stage. In the pancreatic adenocarcinoma cell lines that express relatively high levels of TRPM8, short hairpin RNA-mediated interference of TRPM8 expression impaired their ability of invasion. These data suggest that aberrantly expressed TRPM8 channels play contributory roles in pancreatic tumor growth and metastasis, and support exploration of TRPM8 as a biomarker and target of pancreatic adenocarcinoma.
Klymollins T–X, Bioactive Eunicellin-Based Diterpenoids from the Soft Coral Klyxum molle
Authors: Chang Fang-Yu , Hsu Fang-Jung , Tai Chi-Jen , Wei Wen-Chi , Yang Ning-Sun , Sheu Jyh-Horng
Published: May 2014

Five new eunicellin-based diterpenoids, klymollins T–X (1–5), along with two known compounds (6 and 7) have been isolated from the soft coral Klyxum molle. The structures of these new metabolites were elucidated by extensive spectroscopic analysis and by comparison with related known compounds. Compound 5 was found to exert significant in vitro anti-inflammatory activity against LPS-stimulated RAW264.7 macrophage cells. Furthermore, compounds 4 and 7 were shown to exhibit cytotoxicity against a limited panel of human cancer cell lines.
The Origins of Spontaneous Grain Refinement in Deeply Undercooled Metallic Melts
Authors: Mullis Andrew
Published: May 2014

Phase-field modeling of rapid alloy solidification, in which the rejection of latent heat from the growing solid cannot be ignored, has lagged significantly behind the modeling of conventional casting practices which can be approximated as isothermal. This is in large part due to the fact that if realistic materials properties are adopted, the ratio of the thermal to solute diffusivity (the Lewis number) is typically 103–104, leading to severe multi-scale problems. However, use of state-of-the-art numerical techniques, such as local mesh adaptivity, implicit time-stepping and a non-linear multi-grid solver, allow these difficulties to be overcome. Here we describe how the application of such a model, formulated in the thin-interface limit, can help to explain the long-standing phenomenon of spontaneous grain refinement in deeply undercooled melts. We find that at intermediate undercoolings the operating point parameter, σ*, may collapse to zero, resulting in the growth of non-dendritic morphologies such as doublons and ‘dendritic seaweed’. Further increases in undercooling then lead to the re-establishment of stable dendritic growth. We postulate that remelting of such seaweed structures gives rise to the low undercooling instance of grain refinement observed in alloys.
Rehabilitation Following Childhood Injury
Authors: Jaffe Kenneth M , McDonald Craig M
Published: May 2014

KENNETH M. JAFFE, MD, and CRAIG M. McDONALD7 MD
A Pediatrician's View
Authors: Altemeier William A
Published: May 2014

Just Tell Me What I Need to Know
Temperature Effect on the Structural Design of a Mach 8 Vehicle
Authors: Giannelis Nicholas F. , Vio Gareth A. , Verstraete Dries , Steelant Johan
Published: May 2014

Hypersonic aircraft design is a pressing area of research. The motivation to create aircraft that can cross the globe in only a few hours is driving this forward but there are a number of challenges that need to be overcome. One of the principle challenges is the effect that temperature has on the structure. Temperature changes cause heating of the structure as well as changing the material properties of the affected structure. This has a compound effect in that the structures gets geometrically deformed, stiffness is reduced, and this will have an impact on the aerodynamic and structural performance of the vehicle. This article investigates the effect of two different structural concepts: a conventional rib-spar configuration and a pillow tank. A number of different structural options in terms of number of ribs / spars will be investigated. The structure will be optimised based on critical loading conditions. Results for various temperature distributions will be investigated, while looking at change on structural strength, in-flight static deformation and dynamic response. Keywords: Aeroelasticity, Hypersonics, Design.
Aerodynamic Characteristics of a Deformable Membrane Aerofoil
Authors: Šajn Viktor , Petrović Igor , Kosel Franc
Published: May 2014

In the paper, numerical and experimental study of low Reynolds number airflow around the deformable membrane airfoil (DMA) is presented. Simulations of a fluid-structure interaction between the fluid and the DMA were performed. In the experiment, the DMA model was made from a thin PVC sheet, which was wrapped around the steel rod at the leading and trailing edge. Measurements were performed in a wind tunnel at a chord Reynolds number of 85.7·103, over the angle of attack range from 0° to 15° and DMA shortening ratio from 0.025 to 0.150. Simulations were in an agreement with the experiment, since the average relative difference of coefficient of lift was smaller than 7.3%. For the same value of Reynolds number, DMA shows improved lift coefficient Cy= 2.18, compared to standard rigid airfoils.
Effect of Stenosis Eccentricity in a Model of Bifurcated Coronary Artery
Authors: Fakhim Babak , Javadzadegan Ashkan , Nakkas Rahman T. , Behnia Masud
Published: May 2014

This study was to implement fluid structure interaction (FSI) method in order toinvestigate the effect of stenosis eccentricity on the recirculation flow, pressure drop and wall shearstress (WSS) in an atherosclerotic model of a left coronary artery with left anterior descending(LAD) and left circumflex (LCX) branches. The linear regression analysis results showed a positivecorrelation between WSS and stenosis eccentricity. The results also showed that the stenosiseccentricity plays a prominent role in determining the pressure drop and recirculation area, whilehaving relatively unnoticeable effects on WSS.
Characterisation of the Shear Stud-Concrete Connection Using Finite Element Analysis
Authors: Lowe Daniel John , Das Raj , Clifton George Charles , Navaranjan Namasivayam
Published: May 2014

The degradation of the connection between shear studs and concrete is a complicated phenomenon that depends on many factors, including; interfacial properties, concrete crushing and steel yielding. The purpose of this paper is to outline the scope and methodology of the research project being undertaken to characterise the shear stud-concrete interface of a composite beam using finite element analysis. A mesoscopic model will be created for a section of the interface. With the use of a multi-scale approach, the mesoscopic model will be incorporated into a global model. The influence of steel roughness and mechanical properties will be included. Concrete is to be modelled as heterogeneous, comprising discrete regions of aggregate, cement matrix, and an interfacial transition zone (ITZ). The effect of the ITZ will be taken into account using a zero thickness cohesive element. Experimental testing using a push-up rig is to be conducted to verify the numerical models. The ultimate aim is to develop a simplified representation of the shear stud-concrete interface that can be used in a large scale finite element model of a composite member to correctly capture the behaviour of the shear stud-concrete interface in the elastic and inelastic state.
Modelling Geometric Imperfections of Spatial Latticed Structures Considering Correlations of Node Imperfections
Authors: Chen Geng Bo , Zhang Hao , Rasmussen Kim J.R. , Fan Feng
Published: May 2014

The buckling loads of shell structures and shell-like space frames are very sensitive to initial geometric imperfections. Previous studies focused on estimating the lower bound of the load-carrying capacity of reticulated shells. This paper proposes a new method for modelling structural geometrical imperfections based on random field theory. The method can consider the correlation of imperfections of nodes. The correlation of imperfections relies on the number and length of the connecting members between the two nodes and decreases with the increase of members by an exponential correlation model. The influence of geometric imperfections on structural stability is studied using a probabilistic method by modelling structural geometrical imperfections with the proposed method.
Finite Element Model for Analysis of Time-Dependent Behaviour of Concrete-Filled Steel Tubular Arches
Authors: Luo Kai , Pi Yong Lin , Gao Wei , Bradford Mark A.
Published: May 2014

This paper presents a finite element model for the linear and nonlinear analysis of time-dependent behaviour of concrete-filled steel tubular (CFST) arches. It is known when a CFST arch is subjected to a sustained load, the visco-elastic effects of creep in the concrete core will result in significant increases of the deformations and internal forces in the long-term. In this paper, a finite element model is developed using the age-adjusted effective modulus method to describe the creep behaviour of the concrete core. The finite element results of long-term displacement and stress redistribution agree very well with their analytical counterparts. The finite element model is then used to compare the linear and nonlinear results for the long-term behaviour of shallow CFST arches. It is demonstrated that the linear analysis underestimates the long-term deformations and internal force significantly and that to predict the time-dependent behaviour shallow CFST arches accurately, the nonlinear analysis is essential.
Springback Investigation in Roll Forming of a V-Section
Authors: Abvabi Akbar , Mendiguren Joseba , Rolfe Bernard F. , Weiss Matthias
Published: May 2014

To have fuel efficient vehicles with a lightweight structure, the use of High Strength Steels (HSS) and Advanced High Strength Steels (AHSS) in the body of automobiles is increasing. Roll forming is used widely to form AHSS materials. Roll forming is a continuous process in which a flat strip is shaped to the desired profile by passing through numerous sets of rolls. Formability and springback are two major concerns in the roll forming of AHSS materials. Previous studies have shown that the elastic modulus (Young’s modulus) of AHSS materials can change when the material undergoes plastic deformation and the main goal of this study is to numerically investigate the effect of a change in elastic modulus during forming on springback in roll forming. Experimental loading-unloading tests have been performed to obtain the material properties of TRIP 700 steel and incorporate those in the material model used in the numerical simulation of the roll forming process. The finite element simulations were carried out using MSC-Marc and two different element types, a shell element and a solid-shell element, were investigated. The results show that the elastic modulus diminution due to plastic strain increases the springback angle by about 60% in the simple V-section roll forming analyzed in this study.
Numerical and Theoretical Study of Concrete Spall Damage under Blast Loads
Authors: Li Jun , Hao Hong
Published: May 2014

Spall damage is a typical failure mode of concrete structures under blast or high velocity impact loads. At the opposite side from which the structural element was impulsively loaded, spall will occur if the net primary stresses over an area exceed the dynamic tensile strength of concrete. Fragments of structural element could eject with large velocities, and this kind of damage can cause severe threats to equipment and personnel. In the present study, reinforced concrete columns subjected to the blast loading is investigated and the numerical study of concrete spall is conducted. The spall depth is recorded and compared with the theoretical results derived from wave propagation theory. The parameters that affect the concrete spall damage are investigated.
The Analysis and Experimental Verification on Static Characteristics of BTA Deep Hole Drilling Based on Ansys Software
Authors: Dong Zhen , Shen Xing Quan , Zhang Huang
Published: May 2014

Build a three-dimensional model of BTA deep hole drilling, simulation the static characteristic of the three-dimensional model using Ansys simulation software,observed the wear condition of the BTA drilling teeth, middle teeth and side teeth in the Experiment,verify the results of simulation,providing a basis for the BTA drilling structural optimization.
Vibration Signal Analysis of Bearing Based on EMD and Resonance Demodulation
Authors: Shi Jie , Wu Xing , Pan Nan , Wang Sen , Zhou Jun
Published: May 2014

In order to monitor the operation state and implement fault diagnosis of rolling bearing in rotating machinery, this paper presents a method of fault diagnosis of rolling bearing, which is based on EMD and resonance demodulation. Using EMD to decompose the signal, which comes from QPZZ-II experimental station, the components of intrinsic mode function (IMF) will be obtained. Then, calculating the correlation coefficient of each IMF component, the highest correlation coefficient of IMF component will be analyzed by resonance demodulation. Finally, the experimental results show that the method can accurately identify and diagnose the running state and bearing fault type.
The Prediction of Surface Roughness of Parallel Machine Tools Based on the Neural Network
Authors: Zhao Chang Long , Guan Xue Song
Published: May 2014

Because the parallel machine tool have high speed, high precision, high rigidity and the mechanical structure is simple, the parallel machine tool have been used in many field widely. In the research and application of parallel machine, the effect of processing parameter on machine processing is the most important problem. In the paper the improved artificial neural network is applied to the roughness prediction model of parallel machine tools, the model predict the roughness when the feed rate, spindle speed, processing angle and machining force are changed effectively.
Research on the Yaw of 2 DOF Articulated Vehicle Obstacle Negotiation
Authors: Kou Wei , Liu Xin Hui
Published: May 2014

This paper derives the kinematic equations of 2 DOF articulated vehicle based on D-H method. When unilateral wheels of the articulated vehicle surmounting the depth cavity, the path is studied by simulation and experiment. The experiment result shows when the articulated vehicle surmounts the cavity of 0.46m, there is a yaw angle about 5o and the motion direction yaws. By calculating the differential kinematic equations, it is founded that the wheel-ground contact angles in both sides of the front (or rear) wheels change differently, which leads to the rotation around the vertical axis and yaw. Finally, we analyze the experiment and simulation errors.
Wheel Dynamic Load Optimization of In-Wheel Motorelectric Vehicle Based on Response Surface Method
Authors: Wang Deng Feng , Shi Tian Ze , Deng Zhao Xiang , Dong Hong Liang
Published: May 2014

A multi-body dynamic rigid-flexible coupling model of an in-wheel motor vehicle is built. This vehicle is based on a particular class-A car. An overall investigation of the influence of unsprung mass on vehicle ride comfort is conducted. With the increment of unsprung mass, overall vehicle ride comfort is decreased. The degradation of wheel dynamic load performance is most obvious. Suspension parameters are optimized based on the multi-body dynamic model of the vehicle and Response Surface Method. The suspension deflection and wheel dynamic load of the vehicle using optimized suspension parameters are improved significantly, while the body vertical acceleration increased slightly.
2-D DOA Joint Estimation Method Based on Polarization Array
Authors: Ye Yan Liang
Published: May 2014

A new joint method is presented to estimate the 2-D DOA and polarization parameters of far-field sources based on four order cumulant. The method adopts L array, and every sensor consists of orthogonal dipole-pairs with the same coordinate axis direction, which measure the x-axis and y-axis electric-field components of the far-field signals. The method constructs four four-order cumulant matrixes by receiving polarized array data and does not require any spectral peak search and parameter pairing, can be applied to additive Gaussian white noise or color noise environment. The performance of the proposed method is verified by computer simulations.
A New Radar Signal Processing Architecture Based on Multi-Core Processor
Authors: Fan Jia Liang , Yang Qiang
Published: May 2014

Most radar systems based on the structure that contains many DSP chips. The system structure is always complex, and it is difficult to update. Nowadays, multi-core processor develops very fast. Compared with DSP chips, multi-core processor has better performance in signal processing field. In this paper, we present a signal processing architecture which based on multi-core processor. Pulse compression algorithms and PCI-E bus are discussed as two important technologies. Adaptive beamforming test results show that multi-core processor is able to achieve radar signal processing.
Design and Implementation of the Multi-Functional Virtual Instrument Based on LabVIEW
Authors: Duan Xin Wen , Sun Hao
Published: May 2014

According to the rapid development and widespread application of virtual instrument technology, a design with serial port and the audio card of PC as the main hardware and LabVIEW as the software development platform is proposed. Not only can it generates and output basic waveform, arbitrary formula wave and hand-painted waveform in real time, but also realizes the function of the oscilloscope system, including: channel selection, collecting and display waveform data in real-time, parameter measurement, spectrum analysis etc. This multi-functional virtual instrument has the advantages of friendly-machine interface, easy to transplant and modify and good scalability. And it has broad prospects in the field of testing, measurement and teaching practice.
Research for Mineral Processing on a Copper Oxide Ore in Yunnan
Authors: Zhang Zhi Guo , Liu Quan Jun , Ran Jin Cheng
Published: May 2014

For the characteristic of the high oxidation ratio and the high intergrowth ratio,the copper ore belongs to a kind of refractory ore.It could not get qualified concentrate and high recovery with the traditional flowsheet and general reagent system.In the case of stable grade of copper concentrate,the recovery of copper using composite reagent system could have a reasonably improve,which could reach to 84.49% at the copper concentrate grade of Cu 20.91%.
The Research of Flux-Weaken Control about IPMSM of the Electric Cars
Authors: Song Jian Guo , Zhang Qing Lu , Xie Peng Fei
Published: May 2014

In this paper, we study the flux-weaken control with the method of the advanced angle of currents in the interior permanent magnet synchronous motor of the electric cars. We adopt the first-order digital filter to handle the data acquired from three phase currents and realize the speed and current double closed loop control by the incremental PI regulation. In Matlab/Simulink, we build the flux-weaken control system simulation model with the double closed loop. For the 40kw IPMSM, we develop the experimental platform based on TMS320F28335. The simulation and experiment archive a good control effect.
Avoiding Obstacle Control of Mobile Robot Based on Artificial Potential Field Method
Authors: Wang Jing
Published: May 2014

Avoiding obstacle control strategy of Mobile robot based on Artificial Potential Field is addressed in this paper, detecting ambient by use of sonar sensor .Setting target point and the moving speed arbitrarily in mobile simulation environment, these avoid obstacle moment are conducted successfully.
Study on Fractal Dimension of Acoustic Emission during Cemented Backfill Micro Crack Evolution Process
Authors: Gong Cong , Li Chang Hong , Zhao Kui
Published: May 2014

By virtue of uniaxial cyclic loading and unloading tests on cemented backfill, the studies were carried out, which are mainly on the micro crack evolution characteristics and the AE fractal characteristics in various stage of micro crack evolution. The results show the value of AE energy and fractal dimension are high in the micro holes compaction stage. By contrast, the AE energy and the fractal dimension are at the lowest level in the micro cracks compression phase. In the micro crack stable development stage, the AE events become active, and the fractal dimension keeps a steady growth trend. Finally, with stress further increasing, the AE will take on a quiet period in which the AE energy is high and the AE fractal dimension drops continuously to the lowest value till the stress reaches at peak value of the cemented backfill.
Intelligent Robots with MCU Communication System Based on MATLAB
Authors: Ren Hao , Wang Xin Xin
Published: May 2014

In order to obtain road information to process and requiring movement precision for intelligent mobile robots, we propose solution based on data collection and analysis to control motor. First, we introduce the basic method of serial communication on Matlab. Then, we design PC serial communication and test platform with step motor in Matlab environment. Finally, we can control the mobile robots’ motor driver by processing external data with Matlab. The results show that the solution improves the data-process ability of intelligent sweep-robots, greatly simplifies the development process, improves the efficiency of system development, and can be humanized to write and modify mobile robots’ motion path by PC.
Adaptive Fault-Tolerant Control for a Class of Nonlinear MIMO Systems with Matched and Mismatched Uncertainties
Authors: Xiang Wan Qing , Ao Wei , Chen Yi Yuan
Published: May 2014

This paper proposed a fault-tolerant control (FTC) for nonlinear control-affine uncertain MIMO systems. The proposed controller is no need for on-line fault detection and diagnosis unit, and inexpensive to compute. An adaptive FTC designed method based on Lyapunov-like approach is developed to overcome the affect of parameter uncertainties, matched and mismatched disturbance, and actuator failures. And the theoretical analysis demonstrates that asymptotical tracking error convergence would be guaranteed by the controller. Numerical simulations are provided to validate and illustrate the benefits of the proposed control scheme.
The Design and Implementation of Smart Baby Monitor System Based on ZigBee and GoAhead
Authors: Liu Dan , Sun Jian Mei , Zheng Hong Wei
Published: May 2014

This paper takes CC2530 chip as the core, presents the design and implementation process of wisdom baby monitor system based on ZigBee and GoAhead technology, the wireless sensor and control nodes takes CC2530F256 as core in this system, collected and controlled the baby environment data (temperature and humidity, light etc), to do some intelligent processing. At the same time takes GoAhead as the embedded Web technology, The system realized the remote controlling for the equipment in the baby room with relatively low cost, it can constantly adjust relevant parameters for a baby living environment, this also will be the future direction of the development of the Internet of things.
A Fault Location Method for HVDC Transmission Lines
Authors: Xing Lu Hua , Chen Qing , Xue Bing Lei
Published: May 2014

A fault location method for HVDC (High Voltage Direct Current) transmission lines is proposed in this paper, using voltages and currents measured at two terminals of dc lines in time domain. Fault traveling waves propagate from the fault point to both terminals along the faulted line. The position that the traveling wave head arrives at some moment after the fault can be used to calculate the fault location. To determine the arrival positions of traveling wave head at each time indirectly, propagation characteristic curves of traveling wave heads at local and the remote terminals are calculated with distribution currents using the stationary wavelet transform. The accuracy of fault location will not be affected by transition resistance and fault position. Simulation results show that the presented fault location method can achieve quick and accurate fault location on the whole line under probable operation modes of a bipolar HVDC transmission system.
Motor Imagery EEG Recognition Based on WPD-CSP and KF-SVM in Brain Computer Interfaces
Authors: Yang Bang Hua , Wu Ting , Wang Qian , Han Zhi Jun
Published: May 2014

A recognition method based on Wavelet Packet Decomposition - Common Spatial Patterns (WPD-CSP) and Kernel Fisher Support Vector Machine (KF-SVM) is developed and used for EEG recognition in motor imagery brain–computer interfaces (BCIs). The WPD-CSP is used for feature extraction and KF-SVM is used for classification. The presented recognition method includes the following steps: (1) some important EEG channels are selected. The 'haar' wavelet basis is used to take wavelet packet decomposition. And some decomposed sub-bands related with motor imagery for each EEG channel are reconstructed to obtain the relevant frequency information. (2) A six-dimensional feature vector is obtained by the CSP feature extraction to the reconstructed signal. And then the within-class scatter is calculated based on the feature vector. (3) The scatter is added into the radical basis function to construct a new kernel function. The obtained new kernel is integrated into the SVM to act as its kernel function. To evaluate effectiveness of the proposed WPD-CSP + KF-SVM method, the data from the 2008 international BCI competition are processed. A preliminary result shows that the proposed classification algorithm can well recognize EEG data and improve the EEG recognition accuracy in motor imagery BCIs.
Analysis of the Approaches to Determine Crack Initiation Stress of Rock Materials in Compression Tests
Authors: Li Peng Fei , Cai Qing Chi
Published: May 2014

As a strength parameter less dependent on loading conditions, crack initiation stress is suggested to be used as a lower limit for spalling strength. So far, no suggested methods are given by the ISRM to determine crack initiation stress. In order to understand the physical meaning of the various methods and determine this characteristic stress threshold accurately, we compared the similarities and differences between these methods and then analyzed their applicable scope. It is suggested that a comprehensive consideration be taken to select an appropriate method to identify the crack initiation of rocks in compression.
Research on Method of Identifying CO2 Corrosion Type Based on Morphology Image and Support Vector Machine
Authors: Gao Tong , Liu Quan , Gao Yi Han , Yue Lei
Published: May 2014

Aiming to solve the difficulty of recognize corrosion types for complex CO2 corrosion process with data, this paper presents a recognition method of CO2 corrosion types using SVM as recognizer. Surface morphology images of N8 steel corroded by CO2 are decomposed into sub-images by wavelet after gray processing and gray enhancement, and energy information of sub-images is extracted as eigenvector. SVM classifier is constructed based on the three sample sets of no corrosion, pitting corrosion and uniform corrosion, which can recognize CO2 corrosion types accurately. Superiority of this method is verified by comparison with recognition result of neural network.
Condition Monitoring System of Repaired Gearboxes of Wind Turbine
Authors: Kang Jian She , Zhang Xing Hui , Xiao Lei , Zhang Xiu Ai
Published: May 2014

Wind power becomes one of the most important cleaner energy in the world. The maintenance problem becomes the main factor preventing the appropriate power price which can be accepted by people. So, many researches contribute to improve the availability of wind farms. Traditionally, most researchers paid attention to the fault diagnosis, prognosis and maintenance strategies optimization to short the down time and the maintenance cost. But they all neglect the condition monitoring work of repaired gearbox of wind turbine before it is delivered to the customer from maintenance center to the wind farm. The life of repaired gearbox is also a very critical factor which influences the availability of wind farm. Good checking methods and good standard can provide a good support of good performance after the gearbox installed on the up tower. So, this paper proposed how to address these issues.
Software Testing-Value Model: New Concept and Application of SMBT-LH
Authors: Zhang Hong Chun
Published: May 2014

The action and process of software testing embodies its value, which is shown in the new concept of SMBT-LH. It includes a purpose, two goals and four key domains, whose core is to stress the responsibility and team spirit of testing, and realize the maximization of testing efficiency and effectiveness with the lowest cost. It has an important practical significance to guarantee the software commercial interests, know and promote the healthy development of test work to understand the SMBT-LH model and its application
Based on PLC and WinCC Monitoring Software Material Sorting Station System Design
Authors: Yang Jing Na , Liu Xiao Zhen , Feng He Ping , Li Fu You , Jia Ya Lei
Published: May 2014

By using Siemens series S7-300 PLC on the material sorting station sorting control, PLC control and sensor acquisition combination of technology are adopted in the control process. In addition, With the aid of the WinCC software simulation module to the sorting process real-time simulation analysis. The experimental results show that this system has high precision and good stability, and can simulate industrial automation production process effectively.
Thermal Properties Study of Magnesium Salt Flame Retardants Prepared by Different Alkali Sources
Authors: Zhang Xu , Li Dan , Xie Hua , Xu Wen Jie
Published: May 2014

Magnesium salt flame retardant is an additive flame retardant with environmental protection performance, which has been successfully applied in various industries because of its many advantages. In this paper, the chemical precipitation method is used to prepare magnesium salt flame retardants with different alkali sources (sodium hydroxide and ammonia) and reaction temperatures. And then, study on the thermal properties of all samples is systematically carried out on the basis of differential thermal analysis. These investigations could build up a link between the thermal property and growth behaviors of magnesium salt, which may offer us theoretical help.
Analysis of Data Mode in the Information Construction
Authors: Lin Jia Lun , Li Xiao Ling
Published: May 2014

This article firstly introduces the commonly used data modes in the information construction, and then analyzes and contrasts data centralization mode and data distribution mode from the aspects of the cost of system construction, upgrade and maintenance, reliability, utilization effect and data standardization according to the characteristics of the two modes. The authors also put forward their own views and finally point out that cloud database will be the future direction of development.
Application of the Speech Enhancement Technology in Flight Simulation System
Authors: Xiao Jing Xin , Deng Lin , He Yun , Li You Yi
Published: May 2014

Speech signal can be effect by the external interruption in the process of flight simulation, which results in the deteriorated speech processing performance in flight simulation system. To solve the problem, speech enhancement module has been developed using the spectral subtraction algorithm based on the flight simulation system developed by the research team. The module will improve the recognition rates and provide advanced anti-jam capabilities for the speech processing performance of the flight simulation system. The feasibility and validity of this speech enhancement module is validated by processing the interrupted speech signal. The work in this paper has laid foundation for the application of the speech enhancement technology in flight simulation system.
Preparation and Characterization of Wear-Resistant Polyurethane-Based Materials
Authors: Xu Bao Feng , Lin Zhi Dan , Chen Jiang Ming , Lin Jun
Published: May 2014

Wear-resistant polyurethane (PU)-based materials were prepared through addition of chemically modified aramid and PE fibers. The morphologies of PU-based materials were examined. We observed that treated fibers can be added to 10%, resulting in useful materials with very stable properties. Besides, bending strength of the materials increased from the 10 ~ 15 to 55 MPa, which greatly broadens the range of its applications. In this research, we also examined volume wear, heat resistance, and surface grinding marks morphology and observed very good performances.
Computational Simulation of Object Falling into Water Based on Breach Parabolic Movement
Authors: Leng Tian Jiu , Lin Wen Xian , Liu Tao
Published: May 2014

In this paper, building a systematic equation of mathematical model and dynamic variation based on the movement of object falling into water based on the breach parabolic by virtue of the combined means of boundary layer theory and differential equation with the help of computer simulation, this paper further illustrates the features of physical characteristics and its dynamic movement process, which provides a sort of accurate and credible analytical thinking for the similar engineering calculation.
Multiscale Diffusion Entropy Analysis on Traffic Index Series
Authors: Huang Jing Jing
Published: May 2014

In this paper, we present a multiscale diffusion entropy analysis (DEA) for describing the traffic fractal dynamics with a spectrum of scale exponents . The method combines DEA with moving fitting window to analyze the traffic index (TI) series in different scales and shows more details of scale properties and provides a reliable analysis. We also quantify the effects of weather, traffic peaks on scale spectrum. The results indicate clearly that at large scales, the exponents show large volatility and they all have their own scale patterns. The multiscale DEA method provides new ways to measure the TI series and distinguishes groups in different conditions.
Formal Design Framework of the Authentication Property
Authors: Li Chang Chun , Liu Gang , Zhu Xing Tao , Zheng Zhi Xiang
Published: May 2014

A framework to design the authentication property is presented in this paper. The framework designs the message structures which are used to formally express the authentication goal. These structures guarantee the authentication property. The dynamic characteristics of security property are added to the process of design through the trace-model. The design principles for avoiding the attack on the authentication property are discussed and formalized into inference rules. This method is proved to be valid.
The Extension Method in Flow Allocation Problems
Authors: Shukayev Dulat Nurmashevich , Zhumagaliyev Birzhan Izimovich , Yergaliyeva Nazgul Oralbekovna , Lamasheva Zhanar Beibutovna
Published: May 2014

This study considers the problem of optimal allocation of a common resource in systems with parallel structure. The distinguishing feature of suggested approach is its applicability to models complicated by randomness and possible, but not essential near singularity of the constraint matrix, which commonly arises in systems with parallel processes. The essence of the method is that it finds solution by first solving a simpler problem with an “expanded” constraint set, and then implements a directed transition to the solution of the original problem. In completing these steps the method takes account of the stochastic nature of the allocated flows.
A New Modeling Method for Gray Feature
Authors: Li Ming , Chen Chao
Published: May 2014

The Mean-Shift algorithm has very good tracking effect when the background is in a simple; but for a complex environment, tracking effect is not very ideal. Therefore, a new gray feature modeling method is proposed in this paper. Firstly, target in the tracking window is uniformly divided into even pieces. Then the pixel gray value of each block is calculated with subtraction of certain rules. Finally, the gray value of gray difference and the whole object value fusion are fused and established the object model. The object model that established not only contains the whole gray value information, but also contains the gray value differences between regions, has a more accurate description of the target, and then distinguish target from background better. The experiment results show that: the target model using the method in this paper to track based on the Mean-Shift algorithm, has good adaptability when the target is partially occluded and has better robustness for complex background.
Quantum-Behaved Particle Swarm Optimization Using Q-Learning
Authors: Sheng Xin Yi , Sun Jun , Xu Wen Bo
Published: May 2014

Quantum-behaved particle swarm optimization (QPSO) has shown excellent performance in solving optimization problems which inspired by analysis from particle swarm optimization (PSO) and quantum mechanics. In QPSO, the only parameter contraction-expansion coefficientβis vital to the performance of algorithm. This paper employs Q-Learning strategy and presents a novel parameter control method to improve QPSO performance. Then the empirical studies on a suite of well-known benchmark functions are to be performed to test performance. Finally, a further performance comparison between the proposed algorithm and other parameter control methods of QPSO are listed and the simulation results show the efficiency of the proposed QPSO with novel adaptive strategies.
Generalized Exponential Entropy on Intuitionistic Fuzzy Sets
Authors: Yang Lan Zhen , Gong Xiao Ying , Wang Xian Jie , An Sheng Qiao
Published: May 2014

Based on the concept of intuitionistic fuzzy entropy, this paper proposes a generalized parametric exponential intuitionistic fuzzy entropy measure. This measure is a generalized version of exponential intuitionistic fuzzy entropy proposed by Verma and Sharma, and its validity as an intuitionistic fuzzy entropy is verified. Further, some interesting properties of this measure are also analyzed, and an example shows that this measure is nonmonotone.
Analysis of Structural Deformation and Mechanical Adaptive Adjustment in Engineering Practice of Costume Design
Authors: Yang Zhi Wen , Chen Shu Yun
Published: May 2014

In the vigorously develop vocational education, institutions are established under the national government financial support facilities of the training base. These training bases are used for vocational schools to train the conveyor skilled personnel to provide a good platform, but in the construction of large-scale training base, in order to achieve comprehensive, effectiveness, long-term operation, we must have effective management mode. Can they really play a strong function of the training base, and continue providing companies with high overall quality of talent training base management worthy of study and discussion. Apparel training base, for example, through the use of SWTO analysis techniques, play an important role of apparel training base in the conventional teaching, and plays an important role in practice of apparel training base management problems in a reasonable innovative approach to a theoretical basis for the better development of the apparel training base.
One-Pass Authenticated Key Establishment Protocol on Optimal Eta Pairings for Wireless Sensor Networks
Authors: Ku Jun Hua , Cai Zhi Hua , Wang Ye Tong , Zheng Bing
Published: May 2014

The article proposed one-pass authenticated key establishment protocol from optimal eta pairings in random oracle for Wireless Sensor Networks. Security of the protocol relies on Computational Diffie-Hellman Problem on Optimal Eta Pairings. In one-pass key establishment protocol, the initiator computes a session key and a re1ated message. The key token is to be sent to the intended receiver using receiver's public key and sender secret key. From the received key token the receiver compute the session key, which is the same as the one computed by the sender,using sender public key and receiver's secret key. Because of low communication overhead, the scheme is better suited for Wireless Sensor Networks (WSNs) than the traditional key establishment protocol to establish the session key between two adjacent nodes.
Influence on Different Forms of Applied Loads upon the Stress Corrosion of Pipeline Steel
Authors: Sun Qi Lei , Shi Lu Dan , Liu Ze Rui
Published: May 2014

Based on the SSRT, by simulating different forms of applied loads, the paper conducts the research on the influence and mechanism of action from different waveforms upon the stress corrosion of pipeline steel. Results show that under the given F - SSRT testing condition, and when the fluctuation frequency and fluctuation amplitude are same, the sensitivity of the stress corrosion produced upon X70 pipeline steel is the weakest under the F-SSRT testing condition of superimposed square wave, and is the strongest under the F-SSRT testing condition of superimposed sine wave, which shows that the sensitivity degree of stress corrosion of materials under the F-SSRT with different load waveforms is obviously different.