bluuebunny/crossref_metadata_2025 huggingface dataset:
Distributed Potential Field Based Routing with Priority Connection Probability for NDN
Authors: Tang Jing Fan , Zhang Pei , Zhang Min , Jiang Ming
Published: October 2014

One challenge to the retrieval process of Named Data Network (NDN) is to take advantage of largely distributed copies in in-network caches. Potential based routing (PBR) uses a potential field defined in the network to facilitate routing data packet towards a desired location is an effective solution. But due to the characteristics of “Volatilize and Dynamic Update” on caches, there exist problems of high request failure rate and transmission delay in real applications. This paper proposes a novel distributed PBR scheme with prioritized connection probability of the nodes calculated by the popularity and similarity. It mapped the nodes into a hyperbolic plane according to the sequence of the caching time, and utilized radial coordinates and angular coordinates to represent the popularity and similarity, which will be used for the function of Fermi-Dirac distribution to calculate connection probability. The connection probability will be prioritized as the weight of the nodes for construction of potential fields. The simulation results show that our proposed scheme can not only significantly improves cache hit and utilization ratio, but also effectively controls network delay and overhead.
Design and Implementation of a New Efficient Embedded Image System
Authors: Zhang Jie , Dai Zhi Jian , Cheng Shu Ying , Lin Pei Jie
Published: October 2014

This article presents a new design and implementation of a robust and efficient embedded image system which can perform image acquisition, data saving and communication. The system hardware consists of processors of CPLD and ARM, an OV7620 digital camera, an ISSI SRAM and some peripheral interfaces. The key part of the software is the usage of analogous DMA storage and processing technology which makes the image system have a higher efficiency. A memory allocation algorithm is developed to maximize parallel data access and make the utmost use of ARM’s processing ability, thus improving the system performance. Furthermore, a simple practical binary image processing algorithm is developed to enhance the performance of image processing in this article. The experimental result shows that the proposed design approach for a low cost embedded image system can achieve high performance, robustness and efficiency.
Static Gesture Recognition Based on RGB-D Depth Information
Authors: Wang Yi , Dong Xiu Cheng , Li Chang Long , Yu Xi Mu
Published: October 2014

This paper presents a method of static gesture recognition based on RGB-D depth image technology for problems of static gesture recognition under complex background.First,Microsoft's Kincet camera is for data collection.The hand region is extracted from complex background via depth image. Then appearance features are integrated to build the decision tree model which based on hands and largest index angle of the fingertips for hand gesture recognition.Nine common gestures with complex background were tested in the system.Experiments show that the method can implement efficiently,and has a strong robustness.
Stochastic Resonance in a Complex Nonlinear System Driven by Complex Periodic Signal and Noise
Authors: Meng Yun Liang , Pei Chang Xing , Li Dong Wu
Published: October 2014

The phenomenon of stochastic resonance in a complex nonlinear system which is excited by both complex weak periodic signal and noise is investigated in this paper. The model of complex nonlinear system is given, and the effects of the input periodic signal amplitude and the noise intensity on the response amplitude of the system at the periodic signal frequency are discussed through numerical simulations. It is shown that the response amplitude of the system to the input periodic signal displays a non-monotonic dependence on the noise intensity, and the response peaks at a particular value of the noise intensity, which is known as stochastic resonance. The results in this paper propose a new way for controlling stochastic resonance in a complex nonlinear system.
Two-Subpopulation Particle Swarm Optimization Based on Pheromone Diffusion
Authors: Zeng Guang Pu , Fan Hui Lian
Published: October 2014

The particle swarm optimization (PSO) algorithm is a new population based search strat-egy, which has exhibited good performance on well-known numerical test problems. However, conventional algorithm of particle swarm optimization (PSO) is often trapped in local optima in global optimization of multimodal high-dimensional function. Analysis of the main causes of the premature convergence, proposes an improved two-subpopulation PSO algorithm, based on the mechanism of pheromone diffusion and diversity feedback. The population is divided into main subpopulation particle swarm and assistant subpopulation particle swarm, whose search direction is inversed completely. A pheromone diffusion function, which can control the degree of convergence of particles move to the best position, is designed by both taking into account these particles distribution and their fitness value. Adjusting inertial weight and numbers of sub-populations adaptively with diversity feedback greatly contribute to breaking away from local optima. Experiments on optimization of high-dimension benchmark functions show that, comparing with some other PSO variants, the improved algorithm can find better optima with converges faster, and prevent more effectively the premature convergence.
Detection Circuit Design of Lab-on-a-Chip at 340nm Ultraviolet Light Spectrum
Authors: Zhang Xiang Hui , Liu Chang Qing , Rong Xiang Tao , Yu Hua Dong
Published: October 2014

In order to satisfy the demand of good performance of detection at 340nm ultraviolet light Spectrum, the author design a preamplifier circuit of photoelectric detector. Moreover, through theoretical analysis and computer simulation the author also propose a universal method of the designation of photoelectric detector’s preamplifier which can make the circuit we design satisfy the demand of stability and high speed. In the end, the result of experiment proves that the circuit we design can meet the detection of 340nm ultraviolet light spectrum fairly well and achieve a fairly high precision.
The Design of City Lighting Monitoring Platform Based on WSN and Android
Authors: Xing Jing Hong , Gong Cheng Ying , He Hui
Published: October 2014

Using WSN, embedded and intelligent terminal technology, realize the city lighting state information detection and data communication, data processing, remote monitoring. Based on JN5148 realization of wireless sensor network, NoSQL, Baidu Map and Android to implement the data monitoring. The system can improve the management level of city lighting facilities and the difficulty of operation maintenance, has a certain practicality.
Barcode-Based Service-Oriented Material Flow Technology for Complex Product Assembly
Authors: Zhen Xue , Wang Ai Min , Fan Rui Cheng , Zhou Jian
Published: October 2014

Aiming at the demand for timelines, effectiveness and retroactivity in the complex product assembly, this paper puts forward a kind of barcode-based material flow control technology. This technology regards the idea of complete kit as guide which, on one hand, puts forward a closed loop control mechanism including rapidly kitting pallet preparation, field scan confirmation and retrospective statistical distribution service-oriented material flow control. On the other hand, this paper puts forward a material complete kit which forms a complete set technology of assembly planning driven. This paper realized the dispatch of correct material in the correct time and in the correct way. This paper forms a process-oriented material trace statistics technology and solves the classification statistical issues of material status and location. Finally, this paper develops a prototype system and then the effectiveness of the technology was verified.
Research on the Influence of Combination Information-Sharing on Supply Chain Performance
Authors: Chen Qin , Qi Ming
Published: October 2014

We wrap self-appraisal and peer-appraisal value of data envelopment and use genetic algorithm to define the influence level which self-appraisal and peer-appraisal value effect on the final evaluating value, namely, to select appropriate weight .We evaluate the influence which sharing combination information effects on the supply chain performance. The numerical example results demonstrate the proposed method can strengthen rationality and science of evaluation further.
Thermal Modeling and Compensation of MEMS Accelerometer
Authors: Ma Lin , Chen Wan Wan , Li Bin , Chen Zhi Gang , You Zheng
Published: October 2014

As for MEMS Micro machined accelerometer, biases characteristic always varies with temperature fluctuations. Through establishing the error model between the MEMS accelerometer biases and the temperature variation in the temperature range of-20 °C ~ 60 °C, studying on the bias changed with thermal variation of MEMS accelerometer, and the test results show that MEMS accelerometer bias caused by temperature change have decreased from more than 5mg to lessen than 1mg before and after compensation. Also based on the temperature error model of the MEMS accelerometer bias in static and dynamic condition, the whole temperature characteristics have been improved to some extent, which would improve the precision in the inertial navigation systems.
Joint Target Detection Tracking and Classification Based on Finite-Set Statistics Theory
Authors: Quan Hong Wei , Li Jun Hua , Zhang Xiao Juan
Published: October 2014

In traditional target tracking methods, the target number, target states and target class can not be estimated in same time. This paper investigated the joint target detection, tracking and classification method which is based on finite-set statistics theory. First, the random set and finite-set statistics theory are introduced for theoretic analysis. Second, the finite-set model for target tracking is given to construct a generalized nonlinear fusion framework. Finally, the finite-set based Bayesian filter is developed to track the targets in surveillance region. By recursively calculating the probabilistic hypothesis density, the target number, target states and target class can be evaluated simultaneously.
The Application of Spline Functions in Wavelet Construction
Authors: Wang Xin Cun
Published: October 2014

On the basis of the spline function theory and the study of spline functions, the article discusses the refinement shift-invariant space of the functions in detail. The important quality and characteristics of the space are acquired to offer the methods for wavelet construction.
A Study on Energy Optimum Algorithm of LEACH under Three-Dimensional Space
Authors: Qian Yu
Published: October 2014

With the constant enlargement of the range of application of wireless sensor network, extending wireless sensor network’ life cycle has attracted more and more attention under the circumstances of limited node energy. On account of three-dimensional space background for the environmental monitoring of high buildings, this thesis put forward an improved energy-saving optimum algorithm of LEACH: improving probability of high-energy node elected as cluster head during cluster head election; selecting a network with the minimum communication cost. The simulation experiment indicates that under the layout of three-dimensional space, improving algorithm makes the load of wireless sensor network more balancing, and extending network’ life cycle. what’ s more, simulation result, in a way, serves as theoretical basis for a further study on the life cycle of wireless sensor network.
Research on Comprehensive Evaluation for Synergistic Effects of Internet of Things Industry Chain Based on Value Net
Authors: Fan Peng Fei , Zhu Rui , Zhu Jing Yi , Lin Ting Ting
Published: October 2014

The development of Internet of things eventually depends on the strength of industry chain. It is crucial for Internet of things that all parties in industry chain make progress together and develop synergistically. In this way, Internet of things can be developed more powerfully and widely. Therefore, the research on problems about synergistic development of the industry chain in Internet of things is significant for our country’s industry of internet of things to develop soundly, stably and continuously. The thesis applies the method of fuzzy comprehensive evaluation based on value net, to evaluate the industry chain in Internet of things in three levels, including management synergy, operational synergy and synergy between products and applications. Then the thesis analyzes the results of the evaluation in order to promote the research in relevant fields as a reference.
Research on Information Retrieval System of Typhoon Based on ArcGIS Server
Authors: Chen Shuang Yu , Wang Hai Hui , Xiang Yun Lun , Chen Qing
Published: October 2014

At the information age, the traditional GIS has already can't satisfy people's demand for real-time access to geographic information, such as typhoon weather phenomenon change at any time. Based on ArcGIS Server platform and Java technology, the typhoon information query system of B/S architecture has been designed. The system can complete the space mapping service release and attribute information query, spatial orientation, motion path of dynamic display, for the typhoon weather forecasters and the public provide real-time access information query platform. At the same time, aiming at common bottlenecks in Web GIS application, the paper puts forward the optimization of the data and the establishment of cache. Experiments show that these two methods in reading speed and response speed figure have improved significantly.
Tentative Plan of Application of the Mobile Internet of Things in Mountain Disaster Emergency Communication System
Authors: Shi Zhi Yong , Han Hui , Yin Shi Ping , Xu Quan You
Published: October 2014

In view of the fixed communication facilities damaged and unable to work for the rain or snow disaster in the mountains area, the emergency communication system based on the mobile Internet of things (M-IoT) is proposed. To ensure the safety and liquidity of the rescue line and effectively deliver rescue personnel and materials, the proposed system can be used to real-time monitor the bridge collapse, the landslide and the dammed lake. At first, the network construction of the proposed M-IoT is described in detail. Then, this question, how to realize the effective transmission of sensing information in mountain disaster emergency communication system, is discussed. Finally, the network performance is gotten by OPNET software establishing simulation model. The results show that the proposed system has strong ability of network information transmission and can meet the demand of mountain disaster emergency communication support.
The Design of the Clusters Real-Time Positioning System Based on RSSI
Authors: Zhu Xia , Zhang Yu Lin , Ke Yong Bin
Published: October 2014

With the rapid development of wireless communication and wireless sensor network, there are a large number of application requirements of indoor positioning service, so it is very significant to the study of indoor positioning technology. The paper studied the indoor real-time location technology of ZigBee and designed the real-time positioning system, which included gateway, reference node, and blind node, monitoring software of computer and RSSI location algorithm. STM32 was used to control the gateway, which was integrated with ZigBee module and WiFi module. Reference node and blind node were communicated through CC2530.Monitoring system calculated the blind nodes’ coordinate based on the improved three edge location algorithm. Using computer simulate it, the results show that this method has low consumption, the characteristics of high precision, and has certain practical value.
The Application of Communication between SLC500 PLC and Profibus-DP Fieldbus
Authors: Li Shou Tao , Jiang Wei , Qi Hai Ying
Published: October 2014

SLC500 PLC can not directly communicate with the Profibus device, which limits its practical application. This paper studies the Profibus protocol and proposes a scheme to realize communication between SLC500 PLC and Profibus network through Flex I/O module, which is prepared for applying SLC500 PLC in multi-protocol environments. The proposed solution can improve the communication efficiency and the response speed in control systems. Experimental results have validated the proposed method’s accuracy, reliability and efficiency in data communication.
Live Migration for Virtual Machine Based on Kalman Prediction of Dirty Pages
Authors: Sun Zhi Hong , Hu Xian Lang
Published: October 2014

The live migration of virtual machine (VM) is an important technology of cloud computing. Down-time, total migration time and network traffic data are the key measures of performance. Through the analysis of dynamic memory state of a virtual machine migration process, we propose a dirty pages algorithm prediction based on pre-copy to avoid dirty pages re transmission. Experimental results show that, compared with the Xen virtual machine live migration method adopted, our method can at least reduce 15.1% of the total amount of data and 12.2% of the total migration time.
Analysis on Fracture Causes of Sub-Frame of a Type of Dump Truck
Authors: Li Zheng , Niu Jia Hua , Li Hai Gang
Published: October 2014

Sub-frame of dump truck is a special equipment, which is used to avoid carriage of goods having stress concentration on the chassis frame, and its design rationality have very important influence on the using performance of whole vehicle. In this paper, according to the phenomenon that the sub-frame of a company's mining heavy-duty dump trucks often appear crack and even rupture, using finite element analysis method, the sub-frame has been carried on the static analysis in both cases that the normal load and eccentricity loading when unloading goods. The analysis result shows that the reason of crack and even rupture of secondary frame is stress concentration occurs in the shaft hole connecting balanced frame with sub-frame because of lateral centroid of goods deviating from the longitudinal symmetry plane caused by goods loading or overloading and maximum stress is beyond the material yield limit. The improvement suggestions of sub-frame design are put forward finally.
Development of an Embedded Discrete Fracture Model for Multi-Phase Flow in Fractured Reservoir
Authors: Zhou Fang Qi
Published: October 2014

Considering the discontinuities of the phase saturations and pressure gradients at the matrix-fracture interface, a modified algorithm for the embedded discrete fracture model is proposed. In this algorithm, the exchange rate between fracture and matrix on two sides of the interface are calculated separately. To avoid the problem for defining the physical variables on the matrix grid blocks overlaid by fracture, the Neumann boundary conditions are instead in the calculations of other matrix grid blocks. The numerical examples show that the simulation results of the proposed algorithm agree very well with those of the discrete fracture model. In reservoir with high matrix capillary pressure, the grids must be enough refined in the neighborhood of the matrix-fracture interface to achieve high numerical accuracy.
Adaptive Mesh Refinement for 2D Non-Isothermal Three-Phase Flows in Porous Media Comprised of Different Rock Types
Authors: Ding Yun Xiao
Published: October 2014

In this paper we develop an adaptive mesh refinement (AMR) algorithm for solving the non-isothermal three-phase flows in heterogeneous porous media such as steam flooding in heavy oil reservoir. This porous media are made up of different rock types. The refinement criteria are proposed to overcome the difficulty that the saturation is discontinuous across the interface of two different rock types. Since the ratios of relative permeability between different rock types are found to be continuous, they are chosen as the control parameters to perform the refining and coarsening operations. The numerical examples show that the proposed AMR algorithm is fast with good accuracy.
The Wind-Sand Flux Structure of Grassland on the Northern Foot of Yinshan Mountain
Authors: Jiang Hong Tao , Guo Chun Rong , Hai Chun Xing , Sun Shan Shan , Xie Yun Hu , Liu Jun Xiu
Published: October 2014

Sand samplers were layed out in the grassland located in the northern foot of Yinshan Mountain for collecting soil flux samples from 0 to 1.5m height above the surface from Mar., 1, 2008 to Feb., 29, 2009.Exponential and Power functions were both used for describing vertical distribution of sand flux in the grassland, the results indicated that determination coefficient of Power function varied from 0.898 to 0.992 while 0.432 to 0.661 for exponential function. Power function is better than exponential function in describing the vertical distribution of both annual and seasonal soil flux, summer excluded. Annual cumulative percentage of each height was determined indirectly according to the power function mentioned above, the result indicated that up to 2m height,15-25% of soil flux concentrated with in 10cm above the surface,25-35% of soil flux concentrated within 20cm above the surface,30-40% of soil flux concentrated within 30 cm above the surface, 43-54% of soil flux concentrated within 50 cm above the surface,85-90% of soil flux concentrated within 150 cm above the surface, respectively. No significant differences of soil flux structures in spring, autumn, winter and in the whole year were found. The research on wind erosion of grassland in the vertical direction more dispersed, in the height range of sediment accumulated percentage was lower than that of the previous research.
Study on the Key Environmental Factors Aspergillus flavus Growth and Aflatoxin Production
Authors: Zhang Chu Shu , Zhao Qin , Feng Jian Xiong , Sun Jie , Yu Li Na , Bi Jie , Fu Xiao Ji , Gao Yan An , Yang Qing Li
Published: October 2014

Single factor and Plackett-Burman design were used to determine the key environmental factors for Aspergillus flavus growth and aflatoxin production. The results showed that the key factors were culture time, moisture content. So Controling of moisture was crucial for Aflatoxin contamination prevention and control.
Analysis on Refractive Property of Complex Optometry System
Authors: Zhang Ji Yan , Liu Wen Li , Yang Lei , Gao Ming Liang
Published: October 2014

In optometry, simplified models are usually used to analyze refractive property of optometry system on the assumption that lenses are thin and close enough to each other. However, in fact those lenses do have stated center thickness and lens space between them. The simplified models are not suitable for accurate analysis and system design. In this paper, first, accurate mathematic model for refractive property of single spherical and cylindrical lens is established. Next, accurate model is established for complex optometry system with different kinds of lenses combination. Then, influence factors such as lens structural parameter, lens space and lens position are analyzed for refractive property. Results show that correct lens position is very important for complex optometry system. Parallel light should pass lower power lens first and then higher power lens. When lens power and lens space gets bigger the influence of lens space will be more significant on refractive property. For uncertainty component, uncertainty from front and back surface radii are the biggest, secondary is the refractive index and lens space, and uncertainty from lens thickness is the least.
Preparation and Antioxidant Activities of Peanut (Arachin conarachin L.) Protein Peptides by Lactobacillus Solid State Fermentation Method
Authors: Yu Li Na , Yang Qing Li , Feng Jian Xiong , Sun Jie , Bi Jie , Zhang Chu Shu
Published: October 2014

The objective of this work is to study on the preparation of peanut protein peptide by lactobacillus solid state fermentation method and to provide a theoretical basis for further investigating peanut meal special protein material product. Results indicated that the soluble nitrogen concentration of peanut protein peptide could reach 70.92mg/ml, 1, 1-diphenyl-2-picryl-hydrazyl (DPPH) and hydroxyl free radicals scavenging rates were 95.00% and 86.28%, respectively, under the following optimum conditions: addition of nutrient salt solution volume of 25ml, lactobacillus liquid volume of 5ml, temperature of 25.0 °C, and time of 72h. Peanut protein peptide had good antioxidant activities.
A Multi-Retailer Decentralized Supply Chain Coordination Based on Revenue-Sharing Contracts
Authors: Ren Jin Yu , Liu Yong Xian , Zeng Peng Fei
Published: October 2014

To a decentralized supply chain system consisting of a manufacturer and multiple independent retailers, the game models about the decentralized solution and centralized solution are developed. Comparison of the optimal solutions to two models reveals that the supply chain needs coordination. Then a coordination model on the revenue-sharing contracts is introduced. Finally, a numerical example shows that the perfect supply chain coordination and the flexible allocation of the profit can be achieved when a complementary profit-sharing agreement is included.
Control of Production Cost Based on Grey Correlation Degree in Wulongquan Mine
Authors: Ke Li Hua , Liu Yu , Ye Yi Cheng
Published: October 2014

In order to solve the problems such as low production capacity, high production costs and insufficient resources utilization in Wulongquan mine, the method of grey correlation analysis has been adopted to analyze the main affecting factors about mine production cost. Considering the changes and tendency of these time sequences, grey absolute correlation degree has been used to reflect the strong-weak degrees and orders of the relationship between reference sequence and comparison sequences better based on non-dimensional values. According to the calculating results, labor cost, depreciation cost and materials cost is main factors. So some appropriate measures have been put forward to control total cost.
Robust Single Machine Scheduling with Stochastic Processing Times Based on Event Point
Authors: He Xiao Xia , Yao Chun , Tang Qiu Hua
Published: October 2014

The scheduling of the single machine is of major importance in applications. The focus of this work is to analyze the scheduling problems in single-machine scheduling in the presence of uncertain parameters. By assuming that the processing time is represented by the nominal value plus a perturbation, we propose a robust model base on event point, and we obtain the feasible job sequence with some probability confidence level.
Safety Assessment for CNG Vehicle Energy Storage-Supply System
Authors: Chen De Hai , Fu Chang Sheng
Published: October 2014

According to the some reason of the Catch fire and explosion in the CNG vehicle energy storage-supply system, the fault tree is established which top event is the explosion event, and the importance of each basic event calculated. It is identified that the major safety hazard of CNG vehicle energy storage-supply systems, this is a new scientific method to analysis the safety and reliability of CNG vehicle energy storage-supply system. By the assessment results some preventive measures are taken, it can improve the reliability of the system running.
Catia Template Design of Auto Rear Axle
Authors: Yang Zheng Xiao , Yang Gang
Published: October 2014

The rear axle structure is studied and analyzed, and the skeleton structure, elements and parameters provided in advance in the template are introduced briefly. Taking a typical part of rear axle for instance, using Catia software to design product template, so as to shorten the product development cycle.
Finite Element Analysis of Pipe Joints under Torsion Load
Authors: Han Jun , Yuan Hong
Published: October 2014

The mechanic behavior and debonding process of pipe joints’ interface are the key points of pipe system. Load carrying capacity of pipe joints is the most important indicator that industry concerns. In this paper, results of finite element method (FEM) using ABAQUS modelling are given. Through parametric study, the load-displacement relationship, ultimate load and ductility of the joints can be explained. The thickness of adhesive layer is also taken into consideration.
Optimization and Design for Wind Turbine Airfoil at Multiple Working Conditions Based on Genetic Algorithm
Authors: Chen Ya Qiong , Fang Yue Fa , Guo Sheng
Published: October 2014

S827 wind turbine airfoil was considered as original airfoil, which was created by NREL. Linear perturbation methods were used to get new shape parameters of wind turbine airfoil. Optimization of original airfoil was carried out based on genetic algorithm and XFOIL software, which was used to get aerodynamic performance. Results shows that the lift-drag radio of optimized airfoil was remarkable improved under multiple working conditions. Aerodynamic performance of optimized airfoil was much better comparing with the original airfoil. The optimal design method for wind turbine airfoil used in this paper can be used to optimization design of high lift-drag ratio wind turbine airfoil. Engineering practical value is considered by this method and it is feasible and efficient through example.
Research on Hard Rock Tunnel Boring Machine Based on Digital Mockup
Authors: Zhao Xiao Xu , Gong Ya Dong , Yao Qiang
Published: October 2014

A digital mockup of hard rock tunnel boring machine was built in order to study the design method of these large equipments. Technology of digital mockup is introduced and the application background and practical requirement of tunnel boring machine has been discussed in this paper. The kinematics model and FEM model were built based on this digital mockup. The results of simulation experiment can be used to provide pre-feasibility validation and optimization of the equipment.
The Amplitude Feature of Current Eigenfrequency for Motor Bearing Banded Failure
Authors: Cheng Guo Zhu , Qiu Chi Dong , Wu Xin Bo , Xue Zheng Yu
Published: October 2014

The amplitude feature of those current eigenfrequencies resulting from bearing banded failure is merely focused even though it is very important for distinguishing bearing failure. This theme described the torque oscillation resulting from bearing banded failure based on periodic rectangular pulse model, deduced the modulation principle between rotor magnetomotive force and torque oscillation, presented the relation expression between various banded failure and the amplitude of different eigenfrequency. Finally, a series of simulation studies were conducted and results show that the proposed theory is valid.
The Current Eigenfrequencies for Bearing Fault of Mixed Eccentric Motor Based on Amplitude Modulation
Authors: Ma Jing He , Qiu Chi Dong , Luo Jia Jia , Cheng Guo Zhu
Published: October 2014

The current feature for motor carried with natural mixed eccentric and bearing fault is merely focused even though it is very important for motor online diagnosis. Based on the amplitude modulation, this theme researched on periodic change of the air-gap length caused by not only bearing fault but also mixed eccentric. Based on the relationship between the motor inductance and the magnetic permeability, the inductance expression was deduced for motor with bearing fault, motor with mixed eccentric and motor with not only bearing fault but also mixed eccentric. A new current eigenfrequencies expression was introduced by employing proposed inductance expression. Finally, a series of simulation studies were conducted, the results show that the new current eigenfrequencies expression is valid and useful for online diagnosis of those motor in service.
Numerical Simulation for a Backward-Facing Step Two-Phase Flow Using TOMTM
Authors: Xu Jiang Rong , Gao Jin Fang , Wang Lu
Published: October 2014

Based on the PDF transport equation of particle, Using both non-isotropic correlation coefficient and isotropic correlation coefficient, the two-order moment trajectory model of particles (TOMTM) is used to simulate the backward-facing step two-phase flow. It is shown that the isotropic correlation coefficient of TOMTM can simulate the anisotropic turbulence of particle better.
Numerical Simulation Technique of Disks Skipping Based on the SPH Method
Authors: Wang Yong Hu , Chen Cai Hua , Zhao Ting Yu , Hu Wei
Published: October 2014

It is significant for the phenomena of bouncing on water to analyze the ditching procedure of any kind of aircraft. The SPH method is employed to achieve a numerical simulation in the architecture of LS-DYNA and PrePost programs. The water domain is modeled by SPH and the boundary condition is discussed too. Through a set of contrastive analysis of different boundary conditions, some constructive suggestions of establishing the boundary conditions are given to deeply simulate aircraft ditching in the future.
Robust Optimal Design of Compliant Parallel Robot for the Complex Multiple Response Problems
Authors: Wu Cui Qin , Wu Yin Feng
Published: October 2014

According to the flexibility relationships of the 3-RRR compliant parallel micromotion platform along the X, Y direction and the rotation around the Z axis, using the Taguchi Design and Monte Carlo Simulation methods, considering the strong robustness of the flexibility in X direction and the existence of errors of the flexible hinge geometrical sizes, the flexibility iterative optimization for the compliance of the micromotion platform along the translation in Y-direction and the rotation around the Z axis are carried out respectively, the best geometry sizes of flexible hinge are find out, which provides a new solution of robust optimization design with multiple response problems of compliant mechanism consider uncertainty disturbance situation. Finally the correctness and validity of the method are verified with an example.
Research of BP Neural Network Algorithm Testing Platform Based on OPC Communication
Authors: Chen Bing Wu , Chen Xing , Shu Hui Peng
Published: October 2014

Effective control algorithm can be applied to the real-time control system by the data exchange between MCGS and MATLAB with OPC technology, as a result, a testing platform for advanced control algorithms is established. The paper presents a second-order liquid level control system for research example; the BP neural network algorithm is applied to the control system. The communication process verifies that the data exchange is reliable and the simulation results show the control of the BP neural network algorithm for real-time optimized control process is effective.
Analysis and Simulation of a Limited-Angle Torque Motor
Authors: Yu Zhe Yan , Wang Zi Qiang
Published: October 2014

The motor described in this paper is a limited-angle torque motor (LATM) used in thermal imaging applications. Based on electromagnetic theory, the formula of motor torque was obtained by analyzing the magnetic circuit and energy of the motor. In the meantime, main factors that affect the performance characteristics of the motor were investigated according to the formulas of motor torque. The simulation of the motor was done using Maxwell2D, a Finite Element Method. The simulation results show excellent agreement with theoretical analysis. The conclusions in this paper may provide suggestions for further work which may improve the performance of the LATM to meet special requirements.
Design and Analysis of Fractional-Slot Concentrated-Winding Permanent Magnet Machine for Wind Power Generation
Authors: Wang Xiu Ping , Qu Chun Yu , Xu Xiao Feng , Wang Dong Rui
Published: October 2014

In order to obtain the low synchronous speed, fractional-slot concentrated-winding PM machine is adopted to wind power generation system. This paper analyzed the pole slot combination rule, and then studied the electromagnetic design method by taking 12-slot and 10-pole machine. By using the finite element software, the characteristics is analyzed for this fractional-slot concentrated-winding permanent magnet generator, the research results show that this generator has good performance, thus prove that fractional-slot concentrated-winding scheme is feasible and effective.
Performance Analysis of Novel Fractional-Slot Concentrated-Winding Permanent Magnet Machine with Different Pole and Slot Matching
Authors: Wang Xiu Ping , Qu Chun Yu , Guo Rui , Zhao Jun You
Published: October 2014

In order to analyze the possibility of the fractional-slot concentrated-winding for wind generation, this paper states the merits of fractional-slot concentrated-winding permanent magnet machines, and then analyzes the electromagnetic design rules of fractional-slot concentrated-winding. The fractional-slot concentrated-winding permanent magnet machine is modeled and designed in electromagnetic, and its performance is analyzed, some conclusions can be obtained, which will provide reference for further analysis and application of fractional-slot concentrated-winding PM machine.
Research on Sensorless Control of PMSM Based on Sliding Mode Observer
Authors: Huang Zhi Yu , Zheng Xi
Published: October 2014

In the foundation of the realization of sensorless control of permanent magnet synchronous motor(PMSM) based on the traditional sliding mode observer, the paper focuses on the research on the chattering impacts on the estimation of rotor position and speed, which are caused by the sliding mode variable structure control. To weaken the chattering, the paper proposes two kinds of methods. First, the paper designs the saturation function with boundary layer thickness variable instead of sign function in the traditional sliding mode observer. Meanwhile, let the phase-locked loop (PLL) combine to the sliding mode observer, and construct the rotor position signal detection unit. Finally, the paper verifies the correctness and effectiveness of the proposed methods through the theoretical analysis and simulation.
Remaining Driving Range Estimation for Electric Vehicles through Information Fusion Method
Authors: Liu Guang Ming , Fu Hong , Lu Lan Guang , Wang Yan Jing , Hua Jian Feng , Li Jian Qiu , Ouyang Ming Gao , Feng Chao , Xue Shan , Chen Ping
Published: October 2014

Electric vehicle (EV) is one of the current research focuses due to its environmental friendliness, but the inaccuracy in remaining driving range (RDR) estimation lowers the consumers’ confidence on EVs. This paper introduces a remaining driving range estimation method based on information fusion (RDRIF), in which the RDR is determined by the fusion of the calculated range (calculation of the present battery and vehicle consumption states) and the cumulated range (cumulation of the real-traveled distance) to provide a accuracy RDR result. The RDRIF algorithm was embedded in a type of pure electric vehicle, and a set of vehicle experiments was carried out on a dynamometer test system. Two urban driving cycles representing normal and aggressive driving conditions are implemented in the tests to validate the effectiveness of RDRIF. The results show that the RDRIF could provide a stable and convergent estimation result under both driving conditions compared with the traditional methods, and the estimation error could be rapidly limited to ±5%, which effectively reduces the passengers’ range anxiety.
Filtering Methods of GOOSE Messages on Process Level in Smart Substations
Authors: Wu Wen Cui , Ma Yong Hong , Fu Qiang , Ding Ke
Published: October 2014

How to eliminate the influence of network storm produced by GOOSE messages on equipment of process level is an important task to smart substation. Both valid and invalid GOOSE messages transmitted in process levelare likely to lead to the network storm. At first, the reason that causes network storm in smart substation is analyzed in this paper. Then three kinds of filtering methods are given: Real-time matching method with creating a buffer, the method of cutting off the storm network and abnormal packets discarded method, In the end, the first method is verified on the intelligent terminal.
Improved LMS Adaptive Algorithm and its Application of Time Delay Estimation in Power Plant
Authors: Zhang Shi Ping , Shen Guo Qing , An Lian Suo
Published: October 2014

Time delay estimation plays an important role in accuracy of leakage location in industrial boiler furnace. Considering about interference, like strong background noise, reverberation and so on, in boiler furnace, the LMS (least mean square) adaptive filter algorithm should be improved to meet certain environment above .In order to makes the LMS algorithm have the characteristic of fast convergence and small steady state error, an improved, power-normalized and variable step-size discrete cosine transform LMS algorithm is proposed, which combines the power-normalized discrete cosine transform LMS algorithm with the variable step size LMS algorithm that uses sliding forgetting-weighted window . The time delay estimation simulation in the strong-noise environment verifies the improved DCT-MVSS LMS algorithm can achieve good performance.
Research on the Voltage Influence of Active Distribution Network with Distributed Generation Access
Authors: Zhou Xiao Yi , Wang Ling Yun , Liang Wen Yue , Zhou Li
Published: October 2014

Distributed generation (DG) has an important influence on the voltage of active distribution networks. A unidirectional power distribution network will be transformed into a bidirectional, multiple power supply distribution network after DGs access to the distribution network and the direction of power flow is also changed. Considering the traditional forward and backward substitution algorithm can only deal with the equilibrium node and PQ nodes, so the other types of DGs should be transformed into PQ nodes, then its impact on active distribution network can be analyzed via the forward and backward substitution algorithm. In this paper, the characteristics of active distribution networks are analyzed firstly and a novel approach is proposed to convert PI nodes into PQ nodes. Finally, a novel forward and backward substitution algorithm is adopted to calculate the power flow of the active distribution network with DGs. Extensive validation of IEEE 18 and 33 nodes distribution system indicates that this method is feasible. Numerical results show that when DG is accessed to the appropriate location with proper capacity, it has a significant capability to support the voltages level of distribution system.
Economic Evaluation Methodology of New Energy-Saving Power Transformers and Suggestions for Challenges
Authors: Tong Xiao , Fu Hao , He Xu Jie , Zhao Li Min , Jiang Tong
Published: October 2014

For energy-saving and consumption-reducing, new energy-saving transformer becomes more and more important. Via an economic evaluation methodology called Total Owning Cost (TOC), this article compares energy-saving transformer with high-energy transformer for examples in the angle of transformer loss and picks up the optimum energy-efficient transformer which can be expected to gain more benefit during transformer life cycle. This article also analyses cost of silicon steel sheet used in the transformer core and benefit in Total Owning Cost (TOC) of upgrading silicon steel sheet which primarily reduces no-load loss. Based on calculated results of Total Owning Cost (TOC) and payback period, the new energy-efficient transformer replacement plan, economic discussion and promotion proposal are brought up.
Improved Design of Microstrip-to-Slotline Transition
Authors: Zhao Yuan , Hu Bing Liang , Deng Chao , Wang Hong Wei , Li Lei , Wang Ying
Published: October 2014

A novel compact Ultra-Wide Band (UWB) microstrip-slotline transition utilizing high impedance chip resistor is proposed and analyzed. The reactance introduced by the microstrip open end and slotline short end, which is the main limitation to the bandwidth in the traditional structures, is minimized in the design. The model is analyzed with the method of equivalent circuits and simulated by the commercial software HFSS. To test the performance of this transition a back-to-back structure is fabricated. The measurement results show that the bandwidth of 45 octaves can be obtained while the insert loss is better than 0.7dB within the band.
Design of Active Filter Based on MATLAB
Authors: Xu Sheng Hui
Published: October 2014

A new fast design method for active filter is proposed which is different from the conventional ones, as the conventional methods such as the application of manual calculation tends to be time-consuming, complex and pone to error in determination of active filter’s transfer function, also the application of table look-up can only apply to the filter of limited order less than 10. This fast method is illustrated in detail by a practical example of high pass filter. First, transfer function can be rapidly calculated in MATLAB, then the filter circuit performance simulation is presented through EDA, the results show that the proposed method enhances the efficiency of the design as it is fast, precise and direct, what’s more, the fast method is of practical guiding significance to active filter’s design, especially for high order ones.
Measurement Sensitivity Matrices Kalman Filter with Measurement Bias
Authors: Pan Jin , Lou Wei Tao , Lou Tai Shan
Published: October 2014

Based on the measurement sensitivity matrices, a new Kalman filter is proposed to obtain the optimal state estimates by mitigating the influence of the measurement bias, when the observations have the measurement bias. Its effectiveness is verified by the Monte Carlo simulation.
Neutron Radiation Detection
Authors: Xing Zhen Ni , Liu Yang , Zhu Guo Zheng , Luo Shao Bei
Published: October 2014

The basic principle of neutron detection was proposed in the twentieth century, especially G.F.Knoll compiled Radiation Detection And Measurement in 1979, including detailed in principles and methods of radiation detection and measurement on a variety of hot and fast neutrons. In recent decades there is not have a big breakthrough on the principle of neutron detection development, but there is a great improvement in the performance and scope of neutron detectors. Depending on the working principle of neutron detector, it is roughly divided into the following three: Gas detectors, Semiconductor detectors and Scintillator detector.
Research on Application of Sensor Monitoring Technology Based on the IOT in the Campus GIS Pipeline System
Authors: Zhao Qiang , Feng Jian Peng , Li Tao , Jin Lin
Published: October 2014

Application of the IOT (Internet of Things) technology has promoted the “digital campus” developing into “smart campus”. This paper applies the sensor monitoring technology based on the IOT to the existing GIS underground pipeline management system, to achieve across species and a full range of real-time monitoring of the pipeline. Use sensors for collecting data, and RS485 communication bus and GPRS network for data transmission, and batch estimation data fusion method to optimize the monitoring data. It has practical significance to realize intelligent management of campus underground pipelines.
The Processing of EFPI Fiber Gas Detection Signal Based on Hilbert-Huang Transforms Algorithm
Authors: Zhou Meng Ran , Xie Xuan , Li Hao , Zhang Le
Published: October 2014

In order to obtain spectra from EFPI interference with the noise in the signal spectrum which can get demodulation precision cavity length, HHT method is proposed based gas detection algorithm processing EFPI fiber optic signals. The principle of HHT algorithm is to deal with the noise spectral signal EFPI through empirical mode decomposition (EMD), a group based on the signal obtained their intrinsic mode function (IMF), through to the IMF for Hilbert transform the Hilbert spectrum for time-frequency analysis. Through simulation and numerical analysis, the algorithm to solve the original non-stationary signal interference spectrum , nonlinear shortcomings, through a series of changes to remove noise, which can reduce the difficulty of data processing and increase the accuracy of the gas signal analysis .