bluuebunny/crossref_metadata_2025 huggingface dataset:
Conventional Photolithography and Process Optimization of Pattern-Size Expansion Technique for Nanogap Biosensor Fabrication
Authors: Sharma Rao Balakrishnan , Asri Muhammad Nurfaiz , Hashim Uda , Adam Tijjani
Published: November 2013

For a submicron photolithography process, there is little room for error. In this paper, an optimized technique for photoresist (PR) development is reported, to fabricate a nanogap biosensor for application in biomedical nanodiagnostics. The pattern transfer on the wafer substrate requires precise alignment and Deep Ultra-Violet (DUV) light exposure. This research describes the photolithography process to develop a standard manufacturing procedure for pattern transfer from chrome mask. The key factor for PR development is understood and the optimization is done based on the PR thickness, spin speed, spin time, exposure time, post-exposure bake (PEB) time, developer concentration and developing time to achieve the design feature size of 1 micron. The PR is coated and spun at 3000 rpm and 5000 rpm at 30s and 40s respectively to form a very thin layer. However, the UV exposure time is remained constant at 10s. After the pattern transfer, the wafer is immersed in different concentrations of RD6 developer to develop the PR. To further improve the resolution of image transfer, the PEB time is also optimized for a better throughput on feature size. These optimizations are important to reduce the dimension error and were able to achieve error free design to protect critical dimension and prevent device failure.
Functionalization Research of Silk Fabrics with PVP/ZnO Nanoparticles for Improving Silk Dyeability with Natural Tea Polyphenol Dye
Authors: Yi Ting Juan , Wang Wen Li , Zhou Yu Jun
Published: November 2013

The dyeability and light fastness of natural dye (Tea polyphenols) in the presence of various percentages of Poly-N-Vinyl-2-Pyrrolidone (PVP), ZnO nanoparticles and PVP/ZnO nanocomposites were carried out in this article. These pretreatment agents were padded on functionalized silk fabrics and the modification effects were characterized by Fourier transform infrared spectroscopy and Scanning electron microscope. The dyeability, UV protection and light fastness properties were analyzed respectively. Experimental verification and theoretical analysis of silk dyeing and finishing performance with modified natural tea polyphenols dye were made.
High Orientation Ordered Nanofibers Fabricated by Electrospinning
Authors: Kong Hai Yan , Liu Hong Yan , He Ji Huan
Published: November 2013

Nanofibers with high orientation are of significant applications. This paper demonstrates a method to fabricate high orientation ordered nanofibers by electrospinning. The distribution of the electric field is simulated by using computational fluid dynamics software ANSYS14.0 to illustrate its mechanism.
Web-Like Nanofibers for Improving Fibroblast Growth
Authors: Liu Fu Juan , He Ji Huan , Xu Lan
Published: November 2013

During electrospinning process, charged web jets solidify with solvent evaporation and form two-dimensional (2D) web-like nanofibers on the collecting plate. In this paper, Poly [(lactic acid)-co-(glycolic acid)] (PLGA) solutions are used to produce different 2D web-like nanofibers, which can mimic the physical features of natural extracellular matrix (ECM) at the nanoscale and improve fibroblast growth. According to mass conservation, the possible mechanisms for the web formation are investigated.
Fabrication of Micro Yarn Composed of Nanofibers by Blown Bubble Spinning
Authors: Dou Hao , Liu Hong Yan
Published: November 2013

Recent years, much attention has been paid to approaches for directly producing nanofibers along with a rising trend for their exploration and application in wide fields. Considering the melt blowing and bubble-electrospinning, a novel method called blown bubble-spinning was introduced by forcing airflow onto the polymer bubble. In this paper, a special hierarchical structure has demonstrated the ability to form micro yarn composed of nanofibers in this way. The resulting yarn is about 23 micrometers while the nanofibers 376 nanometers.
A New Approach for Affine-Invariant Image Matching
Authors: Chen Wen Long , Xiao Bai Hua , Wang Chun Heng
Published: November 2013

Affine-invariant matching is one of the challenging fields for image matching. Although several algorithms (ASIFT, Fair-SURF) have been proposed and achieved expressive performance, all these method need to simulate perspective changes and exhaust all possible match which is of high computation complexity (O(N2)). In this paper, we proposed a new method to introduce global descriptor to filter out much unnecessary coarse matches for the matching procedure. Specially, the computation complexity of matching procedure in our method reduces significantly to O(N). But, the experiment result shows that the proposed method can achieve comparable performance to ASIFT at much lower cost.
The Analysis on Dimensionality Reduction Mathematical Model Based on Feedback Constraint for High-Dimensional Information
Authors: Wu Peng
Published: November 2013

This paper proposes a dimensionality reduction mathematical model based on feedback constraint for High-dimensional information. It uses feedback restriction technique to construct dimensionality reduction model for multidimensional product data. The data obtained is with high latitudes, where a large number of data are under components involved standardized restrictions. High-dimensional data participating in operation will increase the complexity of operation, and hence, we need to reduce its dimension. In this paper multi-constrained inverse regression model is adopted to reduce the dimension of cloud resource scheduling data in multi-constrained environments. Experimental results show that the proposed method increases the data coverage rate of high-dimensional data mining by 66%, and has great optimizing effect.
A New Central Angle Estimation Method of Bistatic MIMO Radar
Authors: Gong Jian , Guo Yi Duo , Xie Hui , Li Zhi Long
Published: November 2013

Based on the theory that the steering vectors of coherently distributed targets for bistatic MIMO radar possess a property called Hadamard product rotational invariance (HPRI), a novel central angle estimation algorithm is derived. The proposed algorithm has the advantage of no searching and easily pair the estimated angles. Furthermore, it can deal with different coherently distributed targets with different angular distribution functions or unknown angular distribution functions. Simulation results show the proposed method is effective.
Parallel Implementation of High Speed Mono-Pulse Angle Estimation Processor Based on Multi-IC Architecture
Authors: Bi Yan Xian , Zhang Yu Xi , Yuan Chang Shun , Zhang Yu Xian
Published: November 2013

This paper proposes a kind of high speed mono-pulse sum-difference angle estimation hardware architecture. Sum-difference amplitude mono-pulse algorithm is implemented in the hardware which is composed of 4 chips of XC6VSX315T and three chips of TMS320C6678. This hardware structure has already been applied in engineering.
Random Subspace Based ECOC Classifier with Reject Option
Authors: Pan Hao , Zhang Bai Ling
Published: November 2013

ECOC based multi-class classification has been a topic of research interests for many years. Yet most of the previous studies concentrated only on different coding and decoding strategies aiming at improvement over classification accuracies. In this paper, the classification reliability is addressed. By applying the Random Subspace method, a base classifier is created for each of the coding position. The improvement over classification accuracy on each of the coding position is achieved by a reject option and decision fusion. By rejection of those low-confidence samples, the systems reliability is enhanced. The performance of the proposed system was demonstrated by a vehicle classification example, showing promising results.
Visualizing 3D Vector Fields Using Streamlines with Dynamic Glyphs
Authors: Huang Qi Lin , Cai Xun , Shen En Ya
Published: November 2013

In flow visualization, the streamline has always been used to display the vector fields, but only using streamlines cannot reveal the nature of flowing intuitively. The dynamic glyphs technology is an important method to show flowing 3D vector fields. However, existing methods of dynamic glyphs are hard to convey the global patterns and local entities at the same time. In this paper, we present a practical method for dynamic visualization of 3D vector fields which combine dynamic glyphs and streamlines, which are rendered respectively according to the information of 3D vector fields. Our method integrates virtues of these two usual techniques, and provides high performance visualization of flowing 3D vector fields directly. Experiments with practical datasets certify that our method could not only depict the local and the global patterns, but more importantly reveal the dynamic nature of flowing 3D vector data.
Algorithmic Assessment of 3D Quality of Experience
Authors: Jia Kai , Shi Ping
Published: November 2013

The field of algorithmically assessing the 3D quality of experience is an extremely challenging one. In this paper a no-reference algorithm is proposed to assess the comfort associated with viewing stereo videos. The proposed measure of 3D quality of experience is shown to correlate well with human perception of quality, and extracts statistical features from disparity and disparity gradient maps. And the measure utilizes these spatial features along with motion compensated disparity differences to predict quality of experience.
Research on Adaptive Backstepping Global Sliding Control for CPS
Authors: Wang Jue , Li Fei , Huang Ye , Wang Jian Hao , Zhang Hong Lin
Published: November 2013

The paper studies the problem of tracking control for flight simulator servo systems, one typical CPS, with parameter uncertainties and nonlinear friction compensation. Methods of adaptive global sliding mode control and backstepping control are respectively proposed to realize the control of virtual rotational speed and position tracking. Adaptive backstepping global sliding mode control strategy for flight simulator servo systems is proposed and its stability is analyzed. Simulation results show the effectiveness of the proposed method, which could achieve the precision position tracking performance and eliminate the chattering.
An Optimized Collision Detection Algorithm Based on Dynamic Bounding Volume Tree
Authors: Zhao Wei , Ye Li Ming
Published: November 2013

An optimized collision detection algorithm based on dynamic bounding volume tree is proposed in this paper. First this algorithm adopts spatial division to exclude objects which cant intersect to define the potential intersection areas. Then use a new dynamic OBB bounding volume tree to test whether the intersection happened between the objects in the same grid. At last, this algorithm improves the traditional overlapping test between the primitives for accurate collision detection to accelerate the detection between objects. Compared to the traditional collision detection algorithm based on OBB bounding volume. This algorithm can effectively improve the real-time of the collision detection without affecting the accuracy of original collision detection.
A Fast Way of Enterprise-Grade Embedded Software Development and Release
Authors: An Feng , Liu Zheng , Tao Wen Yin
Published: November 2013

Introduce a new way of developing and releasing software on embedded platform. With the help of OpenBricks, which is an enterprise-grade embedded Linux framework that provides easy creation of custom distributions for industrial embedded devices, people could easily build their applications into the framework and save time on many complex operations such as platform dependency and compatibility, which proved valuable on practical field.
Analysis of Distributed Technology and Database in Field of Computer Technology
Authors: Xu Xin Ai
Published: November 2013

This paper mainly studies the present distributed technology and database applications, with examples for analysis, analysis of the current computer technology in the field of distributed technology. And based on the theory of database, distributed technology and database technology, database technology is to call SQL, distributed research. From the analysis of the distributed computer field, the combination of the database and application the paper was written.
C2Puzzle: A Novel Computational Client Puzzle for Network Security
Authors: Wan Ming , Shang Wen Li , Zhao Jian Ming , Zhang Sheng Shan
Published: November 2013

Client puzzles, a type of cryptographic puzzle, have been proposed and developed by many scholars to guarantee network security. In this paper, we proposed C2Puzzle, a novel computational client puzzle. By using the iterative algorithm, C2Puzzle successfully combined the basic principles of prime factorization and discrete logarithm problem. We show that, C2Puzzle has the visible security advantages, and the adjustability of puzzle difficulty is in fine granularity.
Automatic Discovery of Malware Signature for Anti-Virus Cloud Computing
Authors: Xu Da Wei , Yu Cun Jiang
Published: November 2013

In this paper, a novel Automatic Malware Signature Discovery System for AV cloud is proposed to generate malware signatures from both static and dynamic aspects. It keeps a good workload balance between the desktop and cloud services. It can automatically generate a lightweight signature database with the size hundreds times smaller than traditional signature ones. In the AV cloud model, users do not need to install a large virus signature file, but a lightweight set of cloud signatures. The benefits include easy deployment, low costs of operation, and fast signature updating. Further, Automatic Malware Signature Discovery System signatures can be easily integrated into existing AV products.
Comparison of GM and ARMA Model for Survivability Prediction in Network Information System
Authors: Zhao Cheng Li , Yu Zhi Heng
Published: November 2013

Network survivability is a hotspot in network information security. Predicting effectively network survivability can grasp the survival state of the system, in order to take appropriate measures to improve the system performance. This paper summarizes the existing lack of prediction methods, and then uses GM (1,1) model and ARMA(p,q) model to predict for the survival system performance. Furthermore, Effectiveness of both methods is verified by an example. At last it expounds their respective advantages and disadvantages.
Research on Gateway Security Isolation Technology Based on Trusted Computing
Authors: Mao Jiang Kun , Xu Yu Feng
Published: November 2013

This paper analyzes the lack of the existing network security isolation technology in internal information network, for these deficiencies, designed new gateway security isolation scheme. Based on analyzing the computing trust mechanism and the gateway security isolation system security requirements, using the fifth generation of network isolation technology, identification authentication technology, tags technology and other technologies, proposed a new network security isolation programs based on trusted computing technology, designed gateway security isolation system and trusted computing information protection model, studied network access control mechanism based on the model. The program is simple and flexible and more secure than traditional security isolation scheme.
An Expanded Feature Extraction of E-Mail Header for Spam Recognition
Authors: Liu Yuan Ning , Han Ye , Zhu Xiao Dong , He Fei , Wei Li Yan
Published: November 2013

Currently a spam filtering method is extracting attributes from e-mail header and using machine learning methods to classify the sample sets. But as time goes on, spammers transform different ways to send spam, which result in a great change of spam's header. So the attributes defined in the past could not deal with this change sufficiently. This paper extracted attributes from all possible forged header fields to expand the feature sets, then used the rough set theory to classify the sample sets. Experiment validated more attributes including in feature sets may lead to greater performance, in terms of higher recall and precision, lower fake recognition than other algorithms.
Research on Public Data Exchange Platform of OA System Based on XML
Authors: Wang Hong Min
Published: November 2013

OA system widely used in government agencies, large enterprises and institutions. For data exchange between different application systems, the use of XML technology research public data exchange platform. First, the logical structure of public data exchange to achieve data exchange between application system, heterogeneous operating systems and databases; Then study XML data exchange, including the basics of XML, XML data exchange technical advantages, using XML processing data ways etc. Finally, study data exchange platform, XML data exchange technology makes data exchange simple and convenient. The content of this paper, to facilitate the development of data exchange between different systems, speed the development process, improve data reuse, reduce development costs, easy maintenance advantages.
Scenario: A New Paradigm for Replaying Day-to-Day Activities
Authors: Ding Yi , He Xin Gao
Published: November 2013

Modern information technologies enable information systems to record the changing history of information units, and then play back such histories under users requests. This paper proposes a scenario paradigm equipped with a scenario-oriented approach to support the idea of replaying day-to-day activities. The proposed method attempts to organize related information and knowledge elements as a context (scenario) so that the history of daily activities can be recorded, and then be queried and replayed as a flow of information scenarios for a specified interval of time. Thats Your Life Information System (TYLI) is employed as an example in this paper for evaluating the usability of the scenario paradigm and the scenario-oriented approach.
System Design for Large-Scale Water Control Based on PLC
Authors: Yang Xin Hui
Published: November 2013

Traditional algorithms for large-scale water control system need to realize control according to mathematical model which makes the parameters setting difficult. At the same time, certain defects in the control effects reduce the safety and the reliability of the system, thus it is hardly to satisfy the normal operation of the water control system. In order to avoid the defects in traditional algorithms, this paper proposes a design method for large-scale water control system bases on PLC and applies it in the actual control process. The results show that the proposed algorithm can effectively improve the accuracy of the large-scale water control system.
The Design of Reactive Power Compensation System Based on SVG for Impact Load
Authors: Liu Shu Xi , Wu Bo , Li Shan
Published: November 2013

Aimed at the disadvantage of conventional ip-iq method based on instantaneous reactive power theory, a novel algorithm is presented in this paper. The detection of reactive current is obtained by voltage and current double closed-loop control based on ip-iq instantaneous value. The method is faced to impact load such as motor load increasing or decreasing suddenly. The good of using closed-loop is to make the load current follow the current issued by SVG in real time. That is to say the real-time following of reactive current is implemented. Simulation results verify the validity of the presented algorithm in the paper.
A New Shelf Life Prediction Method for Farm Products Based on an Agricultural IOT
Authors: Wu Ming Ze , Wang Yi Tong , Liao Zhi Cheng
Published: November 2013

Shelf life prediction is an important problem in the field of food safety. This problem has been extensively studied in different research fields. In this paper, based on our agricultural IOT (Internet of Things) platform, we study this problem from the viewpoint of data mining. In our agricultural IOT platform, by setting various types of sensors, it is possible for us to collect information of a farm product during its whole life cycle such as planting, storage, processing, transportation and sale. Shelf life of a farm product is very difficult to determine since it will be affected by many factors during its life cycle, such as temperature, air/soil humidity etc. After integrate raw sensor data streams into batch id-based data streams, we adapt Back-Propagation method to the integrated sensor data streams to predict the shelf life of a farm product. Experiments are conducted on real data from our agricultural IOT platform and the experimental results demonstrate that the proposed method could provide a very good prediction for the shelf life of a farm product.
Implementation of Technical Performance Database of Commercial Vehicles on B/S Framework
Authors: Dong Guo Liang , Liu Fu Jia , Zhang Xue Li
Published: November 2013

Currently commercial vehicles technical condition database is isolated between provinces and vehicle model database is a big problem troubling test stations and repair enterprises. The article introduces implementation of the vehicle performance databases and database management software. This system orienting to 4 types of user (commercial vehicles administrative management departments, test stations of multiple performance, vehicle repair enterprises, and vehicle transportation enterprises.) has realized technical performance databases interconnection in 3 provinces and many thousands of records have been imported. 4 kinds of users can perform technical conditions inquiry, statistics and vehicle model inquiry. The system has been applied in 3 provinces for months and goes well. The database can solve the problems troubled test stations and repair enterprises for many years. Ultimately it can help the users to raise safety of commercial vehicles and reduce the probability of occurrence of traffic accidents.
Cockpit Display System Simulation of General Aviation Aircraft Based on VAPS XT
Authors: Liu Jian , Wang Yan Ran , Zhao Wei Jie
Published: November 2013

This paper introduces a recent study of Cockpit Display System (CDS) simulation for general aviation aircraft. The cockpit display simulation system is developed for avionics system integration and test by using VAPS XT software. This paper describes the cycle of developing human-machine interfaces (HMI) with VAPS XT, designs the Primary Flight Display (PFD) and Multi-functional Display (MFD) interfaces based on system requirements, and analyzes key technologies in the simulation process. The simulation result is proved to have good real-time effect and high fidelity and the simulation system has gained favorable effects in the exploitation of a practical avionics project.
Electronic Structure and Optical Properties of SrTi0.5Zr0.5O3
Authors: Pan Hong Liang , Li Teng , Yang Shi Liang , Liu Yi Ming
Published: November 2013

The electronic-energy band structure and optical properties of SrTi0.5Zr0.5O3are calculated by the pseudo-potential plane wave (PP-PW) mehod with the generalized gradient approximation (GGA). The energy band structure, density of states (DOS) are obtained. The optical properties including the dielectric function, reflectivity, absorption spectrum, extinction coefficient, energy-loss spectrum and refractive index are also discussed.
Robust Admissibility Analysis of Switched Singular Systems with Linear Fractional Uncertainties
Authors: Lin Jin Xing
Published: November 2013

This paper considers the problem of robust admissibility analysis of uncertain discrete-time switched linear singular systems for arbitrary switching laws. The parameter uncertainties are assumed to be of linear fractional form. By using the switched Lyapunov function approach, some new sufficient conditions ensuring such systems to be admissible for arbitrary switching laws are presented in terms of linear matrix inequalities (LMIs). Example is provided to demonstrate the effectiveness of the obtained results
Multivariable Decentralized Controller Performance Assessment Techniques Based on Improved User-Specified Benchmark
Authors: Wei Lin , Tang Yu Guang , Tao Wen Hua
Published: November 2013

In order to solve the deficiency that traditional user-defined indicator does not consider the internal structure of multivariable decentralized controller, we propose the assessment method that based on improved user-specified benchmark. In the method, the open-loop delay and interference of traditional user-specified benchmark replaced by the effective partially closed-loop delay and interference correspondingly. New right diagonal interactor matrix replaces the unit interactor matrix, which greatly simplifies the complexity of solving performance indicators. The experimental results prove that the method can assess decentralized control system with internal interference and is effective for performance assessment
Intelligent Monitoring Water System by PLC (Power Line Carrier) and Wireless Communication
Authors: Wang Hong Mei , Long Xu Ming , Luo Ai Ling
Published: November 2013

To saves water resources and low carbon environmental, we have designed a smart monitoring watering system based on power carrier and wireless communications, the system schema is divided into three layer, background server control the concentrated controller through wireless core network; each concentrated controller controls watering system through power carrier network; watering systems as the terminal access points of The Internet of Things , directly control the location regional's temperature, humidity and the soil situation, thereby achieved unmanned unattended, automatically watering. System integrates technology as wireless communications, power line carrier, single-chip microcomputer , application in LCD and so on, through hardware and software design, realizes data storage, the node information query, node failures and cable guard alarm function. Experimental results show that the overall system has low power consumption, high reliability, strong anti-jamming ability, so that it can better meet site's needs.
Input-Rate Based Adaptive Fuzzy Neuron PID Control for AQM
Authors: Fan Xun Li , Du Fei Fei , Xie Zhen Hua
Published: November 2013

Internet routers play an important role during network congestion. All the routers have buffers at input and output ports to hold the packets at congestion. Various congestion control algorithms have been proposed to control the congestion. Recently, some proportional-integral-derivative (PID) controller based algorithms have been proposed as Active Queue Management (AQM) schemes to address performance degradations of end-to-end TCP congestion control. However, most of the proposed PID-controllers for AQM are validated for their performance and stability via intuitive explanation and simulation studies instead of theoretic analysis and performance evaluation. But there are a few drawbacks of PID-controller based AQM algorithms leading to poor performance like causing data retention dropping and oscillation when the time delay is large, which means that the existing PID-controller can not meet the Quality of Service (QoS) requirements. To overcome the drawbacks of traditional PID, we analyze and enhance the PID-controller based AQM algorithm by regarding the TCP congestion control mechanism as an input-rate based Adaptive Fuzzy Neuron PID control algorithm (IRAFNPID) to avoid congestion in TCP/AQM networks. By means of simulations, we evaluate and compare the performance of traditional PID, single neural adaptive PID(SNAPID) and IRAFNPID, simulations with experiment data analysis and find that IRAFNPID has better convergence, stability, robustness, goodput and lower loss ratio.
The Application of Adaptive Fuzzy PID in the Liquid Level Cascade Control System
Authors: Song Le Peng , Wang Hua Bin
Published: November 2013

As liquid level cascade system has the character the issue of non-linearity ,time variability and the overshoot,tradition PID control can not meet the requirement of precise molding system. So devise a self-_ adaptive fuzzy PID control .A self-_ adaptive fuzzy PID control combined PID to control calculate way and faintness to control the advantage of method, this text permits water tank to carry on mathematics model to design the double permit a water tank liquid misty PID string class control system. Matlab/Simulink and fuzzy logic toolbox are simulated to the single loop PID control system,the cascade control system and the cascade control system based on fuzzy self-tuning PID were simulated with Simulink. The analysis and simulation results indicate that the character issue of non-linearity ,time variability and the overshoot of the liquid level cascade control system based on a self-_ adaptive fuzzy PID controller are superior to previous of two methods.
ESD Damage Effect Test of Integrated Circuit
Authors: Yang Shi Liang , Li Teng , Pan Hong Liang , Dai Lin
Published: November 2013

The damage threshold for different terminals is obtained by a direct injection of electromagnetic pulse (EMP) of different magnitudes to different terminals of 54LS series gate circuit, using an electrostatic discharge (ESD) simulator. The test shows that the most sensitive terminal is the output end. The correlation coefficient of damage voltage value of ESD injection and square wave injection is 0.75, which is a high relevance.
Global Robust Sliding Mode Tracking Control for Helicopter with Input Time Delay
Authors: Cai Ling , Chen Fu Yang , Lu Fei Fei
Published: November 2013

In this paper, a global sliding mode control scheme is proposed for a helicopter with input time delay and disturbance. We proposed a new method for integral sliding surface. By the design of dynamic nonlinear sliding mode function, the controller has the advantage of eliminating the reaching movement of traditional sliding mode control, overcoming the effect of the disturbance and time delay. The system state variables reached the sliding surface at the very beginning by means of designing a dynamic nonlinear sliding mode function, and moved to the expected state under the control of control law. The efficiency of the proposed method is demonstrated by simulation results.
Development of High Speed Motor with Magnetic Bearing
Authors: Yu Hai Bo , Wang Kun
Published: November 2013

In order to in-depth study the magnetic suspension molecular pump technology, a 4kW high speed magnetic motor was firstly developed. The magnetic motor includes 2 radial magnetic bearings, 2 axial magnetic bearing with five degrees of freedom. The wind abrasion and magnetic flux distribution in stators and the gap between the stator and the rotor were analyzed. Then the high speed magnetic motor prototype was introduced in detail. At last, the basic experiment result was present and the conclusions were given.
A Study of Novel Cuk Grid-Connected Inverter Based on Double-Loop Control
Authors: Zhou Yue
Published: November 2013

A kind of Cuk grid-connected inverter is proposed for renewable energy power generation. The grid-connected inverter using Cuk input series output parallel circuit, form a new type of non isolated single stage output parallel input series double Cuk inverter circuit. Firstly, On the basis of the topological structure and principle, the double-loop control strategy is researched to enhance its adaptability and robustness. Simulative results show that,the proposed inverter with double-loop control has better dynamic and static performances, with less output current harmonics and better waveform quality.
Electrocircuit Modeling and Simulation Analysis of a Resonant Acoustic Gas Sensor
Authors: Zhang Ting , Wang Shu
Published: November 2013

A modified equivalent circuit model of an acoustic gas sensor with resonator is introduced in this paper. Based on FMYB and Babak models, our modified RCL-link model simulates the impedance curve in terms of amplitude and resonant frequency well. This modeling would be a helpful step to the gas mixture measurement and analysis.
Stability Boundary of Current Closed-Loop Control of Two-Quadrant H-Half Bridge Converter in SGBES
Authors: Yi Xin Qiang , Wang Dong , Su Zhen Zhong
Published: November 2013

This paper presents a two-quadrant H-half bridge converter used as the field current amplifier of ac exciter in the synchronous generator brushless excitation system (SGBES). Differing from the conventional amplifier, the exciter field winding can be supplied with positive and negative voltage to help increase the response speed of the excitation system. However, there will be some problems of stability when the converter is used in the current closed-loop control system. To prevent the converter from working in the unstable area, the stability of the linear area has been analyzed. Finally, it is verified by the experimental results. These can provide a valuable theoretical and practical basis for the design of parameters for the current closed-loop control system used by the converter.
Fault Diagnosis of Wind Turbine Gearbox Based on Least Square Support Vector Machine with Genetic Algorithm
Authors: Zhao Wen Qing , Cai Rui , Wang Li Wei , Wang De Wen
Published: November 2013

Gearbox affect the normal operation of the wind turbines, to study the fault diagnosis, support vector method was used. Parameters selection is very important and decides the fault diagnosis precision. In order to overcome the blindness of man-made choice of the parameters in least squares support vector machine (LSSVM) and improve the accuracy and efficiency of fault diagnosis, a method based on LSSVM trained by genetic algorithm was proposed. This method searches the optimized parameters in LSSVM by taking advantage of the genetic algorithms powerful global searching ability. The research is provided using this method on the fault diagnosis of wind turbine gearbox and compared with the diagnostic method of LSSVM. The experimental results show that the method achieves a higher diagnostic accuracy.
The Design of Digital Multi-Meter Automation Metrology System Based on 5720A Multifunction Calibrator
Authors: Wang Hong Ping , Tao Zheng
Published: November 2013

This passage indicate the design of the software which can let 5720A multifunction calibrator automatically measure the digital multi-meter, and describe the control processes, hardware structure, software design and other key technologies of this system specifically.
Forced-Retransmission Based Hybrid HARQ Scheme for GEO Satellite Communications
Authors: Zheng Ya Dan , Li Jian Bo , Luo Yong , Dong Ming Ke , Wu Jian Jun
Published: November 2013

In this paper, a hybrid HARQ scheme was proposed by combing forced retransmission and traditional HARQ together, after analyzing the characteristics of satellite channel and the problem encountered when utilizing HARQ scheme in GEO satellite communication system. The forced retransmission can make a packet be correctly decoded more quickly and shorten the waiting delay. Meanwhile, to balance the delay and throughput, the proper parameters were given for the proposed hybrid scheme. Simulation results show that the proposed scheme performs well at decreasing the waiting delay, especially when SNR is low. The conclusion can be drawn that the proposed scheme can improve the HARQ performance in GEO satellite communication systems.
Study on Recognition of Fertilized Chicken Eggs Based on Particle Swarm Optimized Neural Network
Authors: Yang Jian , Xia Chun Yan , Shi Ying , Yin Ying Ying , Wang Xin
Published: November 2013

In order to detect fertilized chicken eggs nondestructively to improve hatching rate, this paper uses the method of image processing and optimizing BP neural network by particle swarm to identify fertilized chicken eggs. Firstly, we use image collection device to collect images of the unfertilized and fertilized chicken eggs, to extract the feature of egg image, and then determine the input and output vector, while optimized neural network by particle swarm is 5 dimensional input and 1 dimensional outputs. Finally, we use particle swarm algorithm to optimize the weights and threshold of neural network, which can be used to predict the condition of fertilization. The experiment shows that, compared with the traditional BP neural network, it is more accurate to recognize the fertilized chicken eggs when using optimized BP neural network by particle swarm. The rate can reach 98.21%, which meets the requirements of recognizing fertilized chicken eggs.
Topological Structure of Main Circuit Inverter Based on Soft-Switching Technology and Parameters Adaptive
Authors: Zeng Jun Yan , Li Guang Di , Liang Xue , Wang Jiao , Li Zhi Da
Published: November 2013

This paper presents a new topology of main circuit based on soft switching technology of ZVS-PWM. At present, hard switching is applied in most inverters. Because the switching power isnt equal to zero, a great number of losses on the switching are generated when the switching at a high frequency. To solve the fault of hard switching, this paper presents that apply the inverter circuits based on soft switching technology of ZVS-PWM to high frequency APF, which will decrease switching losses and noise greatly. The proposed topology and operation principle of the control method is discussed in detail, finally simulated results verify the effect of research.
GPCR-D: A Topology and Position Based Routing Protocol in VANET
Authors: Yang Xiao Ling , Liao Dan , Sun Gang , Lu Chuan , Yu Hong Fang
Published: November 2013

Compared with traditional GPCR, there are three differences in the new GPCR-D: 1) GPCR-D is a topology and position based routing protocol. 2) It can detect dynamically the network density and establish the local areas with high node density, where vehicles speed is limited and topology changes slowly. Therefore, we adopt shortest path algorithm aimed at delivering packets speedily. While outside the local areas, topology changes rapidly, so greedy forwarding is used to avoid restoring and maintaining links frequently. Thus GPCR-D makes full use of their respective advantages. 3) The repair strategy of GPCR-D selects the neighbor whose direction is closest to destination in the neighbor table as the next forwarding hop. The simulation shows that GPCR-D works more effectively than GPCR in terms of average delivery success rate and end-to-end time delay.
A Novel Group Key Agreement Scheme for Wireless Sensor Networks Based on Merkle Identity Tree
Authors: Chen Li Qing , Sun Cheng Fu , Zhu Quan Yin
Published: November 2013

One of the key issues in wireless sensor networks is to design efficient and secure group key agreement scheme. The Merkle identity tree is firstly introduced, then an efficient scheme based on Merkle identity tree is proposed. With this scheme, the direct and secure communications between any subgroups without retransmission could be implemented. The security of the scheme can be assured under the complexity assumptions. The detailed analysis of the initialization procedure, subgroup key agreement procedure, group communication procedure and rekeying procedure when membership changes, including joining and leaving, shows that the scheme is efficient in computation and communication cost.
An Authenticated Group Key Agreement Scheme for Wireless Sensor Networks Based on Bilinear Pairings
Authors: Chen Li Qing , Sun Cheng Fu , Xu Cheng Jie
Published: November 2013

Designing efficient and reliable group key agreement scheme is one of the key issues in wireless sensor networks. An authenticated group key agreement scheme is proposed, which based on ternary tree and short signature using bilinear pairings on elliptic curve. In the proposed scheme, five authenticated two-party and three-party key agreement algorithms are adopted. The security of the group key agreement scheme can be assured under the complexity assumptions. The analysis of the initial agreement procedure, rekeying procedure when membership changes, includes joining and leaving, shows that the scheme is efficient in computation and communication cost.
Improved BP Decoding Algorithm for LDPC Codes
Authors: Wang Li Na , Liu Xiao
Published: November 2013

In this paper, an improved belief propagation decoding algorithm was proposed for low density parity check codes. In the proposed decoding process, error bits can be detected once again after hard-decision in the conventional BP decoding algorithm. The detection criterion is based on check matrix characteristics and D-value between prior probability and posterior probability. Simulation results demonstrate the performance of the improved BP decoding algorithm outperform that of the conventional BP decoding algorithm.
Unmanned Aerial Vehicles Take off from Inclined Surfaces in Disaster Situations
Authors: Wu Yan Xiong , Jiao Min
Published: November 2013

Unmanned aerial vehicles (UAVs) have been utilized to acquire imagery for disaster research and management in recent years. Because of the huge destructive power of natural disasters, it is usually difficult for UAVs to find plane to take off. In this paper, we proposed a hybrid system to control UAVs, taking off from inclined surfaces continuously. The relationship between the pitch angle and the altitude of UAVs has been analyzed. The experiments results show that our hybrid system and method are efficient and applicable in disaster situations.
Optimization and Modeling Composite Structures with PZT Layers
Authors: Kędziora Piotr
Published: November 2013

Piezoelectric materials are used as layers or fibers that are embedded within or bonded to the surfaces of a structure. The present formulation allows us to model composite structures behavior in all convenient manner for optimal design. In this paper, the various optimization criteria used for optimal placement of piezoelectric actuators on laminated structures are discussed.
Preparation and Characterization of PLA-PEO Bicomponent Fibers with Porous-Smooth Surface by Co-Electrospinning
Authors: Pavasupree Suttipan , Srikulkit Kawee , Rangkupan Ratthapol
Published: November 2013

Poly (lactic acid) (PLA)/polyethylene oxide (PEO) bicomponent fibers with porous and smooth surface on different side of the same fibers were fabricated by co-electrospinning technique. Specific solvent systems were used deliberately to induce pore formation on PLA phase. The results showed that the porous-smooth surface fibers were obtained using PLA-PEO flow rate ratio of 0.75:0.25 to 0.25:0.75 ml/hr. While, Fiber size decreased with decrease in PEO concentration and PEO flow rate ratio, the applied voltage had small effect on fiber size change. After PEO phase removal via selective dissolution with water, the C-shape PLA fibers with porous surface was generated.
Biocompatibility Evaluation on Bio-Soluble Glass for Neural Application
Authors: Lim Rui Qi , Tan Kwan Ling , Chen Wei Guo , Je Min Kyu , Cheng Ming Yuan
Published: November 2013

This work evaluated the biocompatibility and the bio-degradability/bio-solubility by comparing different bio-soluble glass materials for neural probe applications. Diboron trioxide and phosphorus oxide based bio-soluble glass materials are used as probe substrate. Two experiments conducted will be discussed in this paper. The first experiment is preliminary bench test to study the dissolution rate of the samples. Second experiment is an in vivo experiment to further investigate the dissolution rate and the biocompatibility of the material. According to the experimental results, higher content (how high) of diboron trioxide glass has a shorter dissolution period (how long) and evoke less inflammatory response compared to a sample with lower content of diboron trioxide and phosphorus oxide based glass. Phosphorus oxide based glass which produces an acidic medium resulting in advance inflammatory response is not suitable as base substrate material for neural probe application.
Silicon-Based Multichannel Probe Integrated with a Front End Low Power Neural Recording IC for Acute Neural Recording
Authors: Cheng Ming Yuan , Tan Kwan Ling , Chen Wei Guo , Lim Rui Qi , Damalerio Maria Ramona B. , Yao Lei , Li Peng , Gu Yuan Dong , Je Min Kyu
Published: November 2013

This work presents a silicon-based multichannel probe integrated with a front end low power neural recording integrated circuit (IC) which is used in acute neural recording application. The low power neural recording IC contains 100-channel analog recording front-ends, 10 multiplexing successive approximation register ADCs, digital control modules and power management circuits. The 100-channel neural recording IC consumes 1.16-mW, making it the optimum solution for multi-channel neural recording systems. The neural recording IC and Si probe are integrated in a printed circuit board (PCB) which is fixed on the skull using dental resin. Digital neural signal is converted to analog signal and output by neural recording IC. The signal-to-noise ratio of neural recording signal can be increased through the reduction of interconnect length. The buckling strength of the fabricated probes was simulated using finite element analysis and measured by compression tester. The packaging method of 2D probe and neural recording IC was successfully demonstrated. The impedance of the assembled probe is also measured and discussed. To verify the functionality of Si probe integrated with neural recording IC, a pseudo neural signal acquisitions have been perform.
Determination of Damage Criterion Using a Hybrid Analysis for Advanced High Strength Steel
Authors: Panich Sansot , Uthaisangsuk Viton , Suranuntchai Surasak , Jirathearanat Suwat
Published: November 2013

Advanced High Strength (AHS) steels have been increasingly applied in the automotive industries due to their distinguished mechanical properties. Microstructures of these steels play an important role and are designed by constituent phases with distinct characteristics. AHS steels exhibit sophisticated damage mechanisms that complicate the prediction of material formability. In this work, Ductile Crack Initiation Locus (DCIL) was developed for describing failure behavior of dual phase steel sheet. A hybrid experimental and numerical analysis was used to determine the DCIL. Tensile tests of various sample geometries were experimentally carried out and crack initiation occurred during forming was identified by the Direct Current Potential Drop (DCPD) method. Then, FE simulations of the corresponding tests were performed to evaluate local stress triaxialities and equivalent plastic strains of the critical area. The damage curves for both crack initiation and localized necking were obtained. Additionally, the von Mises, Hill48 and Yld2000-2d yield criterion were defined in the calculations in order to examine effect of yield model on the resulted curves. To verify applicability of the damage curves, Nakazima test of uniaxial sample was taken into account.
Experimental Testing of the Weathering Steel Road Bridge in Ostrava
Authors: Urban Viktor , Křivý Vit , Fabián Lukáš
Published: November 2013

Weathering structural steel has been used for various outdoor load-carrying structures (even without anti-corrosion surface protection) in the world as well as in the Czech Republic for about 45 years [1, 2, 3]. Load-carrying structures are designed for service life of as many as 100 years and the weathering steel can be used as a standard structural material without any corrosion protection. The weathering steel is able to create a protective patina layer on the surface in favourable environment; it means suitable atmospheric and structural conditions. A lot of constructions built from the weathering steel in the Czech Republic have been assessed and inspected in last few years. This paper describes the new developed method for experimental measuring of real corrosion losses on typical surfaces of bridges.