bluuebunny/crossref_metadata_2025 huggingface dataset:
Construction of Information Integration System for RFID-based Urban Intelligent Building
Authors: Huang Wen
Published: November 2018

Under the background of sustainable development, urban intelligent building is the inevitable direction of building development. This paper has analyzed the current situation of urban intelligent building in China, and expounded the application target of urban intelligent building based on Radio Frequency Identification (RFID) in the perspective of sustainable development. In the meantime, this paper has also made a profound analysis of the SWOT of RFID-based urban intelligent building, and puts forward a model framework, relevant key technology and construction mechanism for constructiment, thus improving the construction efficiency of the intelligent building for controlling the component information more accurately, helping to optimize the industrial structure and improve the supervision ability of the intelligent building, and ultimately finding the effective way to realize the value of the sustainable development of the urban intelligent building.
Urban Metro Network Topology Evolution and Evaluation Modelling Based on Complex Network Theory: A Case Study of Guangzhou, China
Authors: Chen Shaopei , Zhuang Dachang , Zhang Huixia
Published: November 2018

As urban metro network is generally referred as a significant component of the modem urban transport system, the spatiotemporal evolution of spatial layout and topology structure of the network should be investigated and evaluated in order to promote urban transport services and optimize urban spatial pattern. This paper takes a case study of the city of Guangzhou, China, and applies the complex network theory and integrates geography information system (GIS) to explore and discuss the growth and topological structure characteristics of the Guangzhou metro network. Importantly, this paper focuses on accessing the formation process of the topology structure of the Guangzhou metro network from 1997 to 2016 on the basis of spatio-temporal sequence data analysis. This aims to provide scientific references for the future development and planning of urban metro network in China.
Off-topic English Essay Detection Model Based on Hybrid Semantic Space for Automated English Essay Scoring System
Authors: Huang Guimin , Liu Jian , Fan Chunli , Pan Tingting
Published: November 2018

Aiming at the problem that the lack of accurate and efficient off-topic detection model for current Automated English Scoring System in China, an unsupervised off-topic essay detection model based on hybrid semantic space was proposed. Firstly, the essay and its essay prompt are respectively represented as noun phrases by using a neural-network dependency parser. Secondly, we introduce a method to construct a hybrid semantic space. Thirdly, we propose a method to represent the noun phrases of the essay and its prompt as vectors in hybrid semantic space and calculate the similarity between the essay and its prompt by using the noun phrase vectors of them. Finally, we propose a sort method to set the off-topic threshold so that the off-topic essays can be identified efficiently. The experimental results on four datasets totaling 5000 essays show that, compared to the previous off-topic essay detection models, the proposed model can detect off-topic essays with higher accuracy, and the accuracy rate over all essay data sets reaches 89.8%.
The Effective Sleep Scheduling in Wireless Opportunistic Networks
Authors: Li Wenzao , Wen Zhan , Liu Jianwei , Xiao Shuang , Wu Xi , Cao Yue , Zhou Jiliu
Published: November 2018

One of the purposes of Internet of Things (IoT) is to reach more deeper perception. For this purpose, the efficient energy consumption is necessary among intelligent devices that make up the part of Opportunistic Networks (ONs). It is irrational for an ONs without any sleep scheduling because of awful user experience. We explore a sleeping schedule which is based on duty cycling for mobile devices to reduce energy consumption of ONs. To see how schedule affects the performance of ONs, we took a series of simulations and the results indicated that the sleeping schedule is an efficient method for prolonging the network life time in ONs. The successful delivery ratio can increase two to three times when factor Trequal 0.2. We also observed that the network matrices are acceptable, and the network survival time can be extended effectively in ONs.
The Study of Information Security Risk Assessment Based on Support Vector Machine
Authors: Xie Haiyan , Wang Ying , Zhang Xianghong
Published: November 2018

This paper establishes an information security evaluation model based on support vector machine by analyzing the factors affecting information security risk assessment. We compared and analyzed the different kernel functions of support vector machine by MATLAB, the experimental results show that the radial basis kernel function can minimize the training error and make the training result more accurate. Meanwhile, we compared the information security risk assessment based on support vector machine and BP neural network, the experimental results show the former has less error and shorter time. Therefore, the information security evaluation model based on support vector machine is feasible.
Optimal Pricing for Spectrum Allocation in Cognitive Radio Networks
Authors: Gu Fan , Li Xianwei , Zhao Liang , Zhang Haiyang , Yang Xiaoying
Published: November 2018

In this paper, we investigate the problem of spectrum allocation in Cognitive Radio Networks (CRNs) where a primary user (PU) leases its idle spectrums to a number of secondary users (SUs) who may have different willing to pay for these spectrums. For the PU, its main objective is to gain profit from selling the idle spectrums, and from the perspective of the Sus, they aim to maximize their utility from using spectrums. We model the interaction between the PU and SUs as a two-stage Stackelberg game, where the PU sets the prices for its spectrum in the first stage, and SUs make their spectrum demands decisions in the second stage. We use the backward induction method to solve this game. The numerical results show that the proposed solution method can increase revenue of the PU compared with the uniform pricing scheme.
The Design and Implementation of Computer Hardware Assembling Virtual Laboratory in the VR Environment
Authors: Sun Shaoming , Xu Tianwei , Zhou Juxiang
Published: November 2018

In solving the problems of slowly updated laboratory equipment, heavy hardware wastage and potential danger in the course of traditional computer hardware assembling experiment, this article proposes a design and concrete implementation of virtual laboratory for computer hardware assembling based on immersive VR environment. Adopt 3Ds Max and Unity3d software to create 3D models and build the scene, and Mojing SDK as the VR display effect and the tool of interactive interface, the article achieved the design and implementation of virtual laboratory application in mobile devices. Current virtual laboratories based on Virtools can only run in Windows environment, and this design overcomes such limitation. In addition, with rich scenes and tutorial, this design combines the head-mounted display and somatosensory controller to greatly promote the immersion and interactivity, thus enhancing the interests of students. This is a new trail to improve the traditional experimental teaching effect.
The study on value co-creation behaviour of shared bicycle users
Authors: Zhang Yashun
Published: November 2018

In the past few years, shared bicycles without piles developed so fast, they also experienced problems such as unregulated bicycle parking and unrepaired damaged bicycles. This article’s study about users’ consciously participating in the reporting damaged or illegal vehicles, encourages shared bicycle users’ value co-creation behaviours, and strengthens the interaction between companies and users. This paper uses the combination of qualitative and quantitative methods to analyse the reliability and validity of the collected questionnaires, and uses the structural equation model to test the relevant hypotheses. It draws the conclusion that sense of responsibility, sense of accomplishment, expected revenue, peer acceptance, and self-efficacy have positive impacts on the value co-creation behaviour of shared bicycle users. The value creation behaviour of users has a positive impact on process satisfaction and result satisfaction.
Research on Software Multiple Fault Localization Method Based on Machine Learning
Authors: Gao Meng , Li Pengyu , Chen Congcong , Jiang Yunsong
Published: November 2018

Fault localization is one of time-consuming and labor-intensive activity in the debugging process. Consequently, there is a strong demand for techniques that can guide software developers to the locations of faults in a program with high accuracy and minimal human intervention. Despite the research of neural network and decision tree has made some progress in software multiple fault localization, there is still a lack of systematic research on various algorithms of machine learning. Therefore, a novel machine-learning-based multiple faults localization is proposed in this paper. First, several concepts and connotation of software multiple fault localization are introduced, move on to the status and development trends of the research. Next, the principles of machine learning classification algorithm are explained. Then, a software multiple fault localization research framework based on machine learning is proposed. The process is taking the Mid function as an example, compares and analyzes the performance of 22 machine learning models in software multiple fault localization. Finally, the optimal machine learning method is verified in the multiple fault localization of the Siemens suite dataset. The experimental results show that the machine learning based on Random Forest algorithm has more accuracy and significant positioning efficiency. This paper effectively solved the problem of large amount of program spectrum data and multi-coupling fault location, which is very helpful for improving the efficiency of software multiple fault debugging.
Simulation of 3D Image Reconstruction in Rigid body Motion
Authors: Chen Huihong , Li Shiming
Published: November 2018

3D image reconstruction under rigid body motion is affected by rigid body motion and visual displacement factors, which leads to low quality of 3D image reconstruction and more noise, in order to improve the quality of 3D image reconstruction of rigid body motion. A 3D image reconstruction technique is proposed based on corner detection and edge contour feature extraction in this paper. Region scanning and point scanning are combined to scan rigid body moving object image. The wavelet denoising method is used to reduce the noise of the 3D image. The edge contour feature of the image is extracted. The sparse edge pixel fusion method is used to decompose the feature of the 3D image under the rigid body motion. The irregular triangulation method is used to extract and reconstruct the information features of the rigid body 3D images. The reconstructed feature points are accurately calibrated with the corner detection method to realize the effective reconstruction of the 3D images. The simulation results show that the method has good quality, high SNR of output image and high registration rate of feature points of image reconstruction, and proposed method has good performance of 3D image reconstruction.
A Survey on Approaches for Saliency Detection with Visual Attention
Authors: Zhang Qi
Published: November 2018

Most existing approaches for detecting salient areas in natural scenes are based on the saliency contrast within the local context of image. Nowadays, a few approaches not only consider the difference between the foreground objects and the surrounding background areas, but also consider the saliency objects as the candidates for the center of attention from the human’s perspective. This article provides a survey of saliency detection with visual attention, which exploit visual cues of foreground salient areas, visual attention based on saliency map, and deep learning based saliency detection. The published works are explained and descripted in detail, and some related key benchmark datasets are briefly presented. In this article, all documents are published from 2013 to 2018, giving an overview of the progress of the field of saliency detection.
Design of Vision Guided Intelligent Handing System for Inner Ring and Outer Ring of Railway-bearing
Authors: Meng Dapeng , Du Jinsong , Yang Xu , Wang Xinye , Liu Fei
Published: November 2018

More and more special automation equipment had been developed with progress of technology. All kinds of nonstandard equipment were applied to the specific occasion. A vision guided intelligent handing system in the paper was specially designed for carrying the inner ring and outer ring of railway-bearing from material handcart to the testing line. Robot, visual positioning, pneumatic clamping jaw, servo motor and PLC were integrated into this handing system. The visual system was led to take pictures for the inner and outer rings by robot, and transfer the location data of rings to the PLC, the brain of the whole system. The PLC controlled robot and pneumatic clamping jaw finish the handing process through accurate calculation.
Structural Modeling and Modal Analysis of Hot-line Work Across the Line Construction
Authors: Xu Li , Fu Yanyi , Li Hui , Xiao Lihua , Guo Hao , Liao Zhikai , Li Jinliang , Yi Ziqi
Published: November 2018

For the nonlinear structures such as traverse and mesh spanning structure, it is very difficult to analyze the traditional calculation method. The initial shape of the structure is determined by the finite element method and the accuracy of the model is verified. Based on this model, the natural frequencies and vibration modes of the structure are analyzed and determined, which can provide reference for transient dynamic analysis.
Design of Financial Accounting Module in Printing Enterprise Based on Web
Authors: Ran Peipei , Yang Wenjie , Huo Yuke , Cao Shaozhong
Published: November 2018

In order to optimize the financial management process and improve the working efficiency of printing enterprise, a financial accounting module for bills is designed and realized. The web interface of system is realized through the technology of Java and JavaScript, adopting the development mode of browser and server (B/S), all information about bills are stored with SQL Server database. There are three functions including implementing, invoicing for bills, management for receipt and distribution of money for all invoices and receipts.
A Large Range Linear Displacement Calibration System Based on Coordinate Measurement and Laser Interference
Authors: Jiang Zhihua , Zeng Yanhua , Cai Zhenglong
Published: November 2018

The linear displacement sensor is widely used in industrial measurement. The linear displacement sensor with measuring range less than 200mm is usually measured on a universal length measuring instrument. There is no good method to calibrate linear displacement sensor with measuring range larger than 200mm. The calibration system of linear displacement based on coordinate measurement and dual frequency laser interference is developed. The guide rail and measuring positioning system of coordinate measuring machine is used. The sampling signal of dual frequency laser interferometer is connected with the pulse signal triggered by coordinate measuring machine. The accurate position information of the linear displacement sensor is obtained and processed by industrial computer. According to JJF 1305-2011 Calibration Specification for Linear Displacement Sensor, a large range of linear displacement sensors is calibrated. The accuracy and reliability of linear displacement calibration system based on coordinate measurement and laser interference is verified.
Design of Inventory Management Module in Printing Enterprise Based on Web
Authors: Ran Peipei , Yang Wenjie , Cao Shaozhong , Huo Yuke
Published: November 2018

Based on the research and analysis of the management method for materials and combined the business process of material management, the inventory management module is designed and realized, which adopts the development mode of browser and server (B/S), and achieves the material warehousing, inventory, monthly closing functions. The implementation of module can effectively reduce inventory costs, optimize the management method and improve the economic efficiency
Improved Simulated Annealing Genetic Algorithm based Low power mapping for 3D NoC
Authors: He Hanna , Fang Fang , Wang Wei
Published: November 2018

Mapping of IP(Intellectual Property) cores onto NoC(Network-on-Chip) architectures is a key step in NoCbased designs. Energy is the key parameter to measure the designs. Therefore, we propose an Improved Simulated Annealing Genetic Alogrithm, abbreviated as ISAGA. The algorithm combines the parallelism of Genetic Algorithm(GA) and the local search ability of Simulated Annealing(SA). We improve the initial population selection of GA to get the lower power consumption mapping scheme. The experimental results show that compared with the GA, ISAGA has good convergence and can search the optimal solution quickly, which can effectively reduce the power consumption of the system. In the case of 124 IP cores, the average power consumption of the ISAGA is reduced by 32.0% compared with the GA.
Computational Simulations of Wind Loads of Super Tall Buildings in Hilly Terrain
Authors: Liu Bowei , Sun Yi , Wang Mei
Published: November 2018

The wind loads could be increased by the complex hilly terrain. In order to consider this threat, computational simulations about wind pressures in buildings in hilly terrain and surrounding buildings were finished. In the CFD model, surrounding buildings within 500 meters and hilly terrain within 700 meters were established, and total 16 cases including different sensitive wind directions were simulated. The results showed that, because of the complex situation of surrounding hilly terrain and interfered buildings, wind loads in the building group under different direction show opposite characteristics. The speed-up effects by the hilly terrain increased the windward mean pressures when the flow comes from the north, while the interference effects by the surrounding buildings decreased them when the flow comes from the south.
Research Based on Stock Predicting Model of Neural Networks Ensemble Learning
Authors: Xie Qi , Cheng Gengguo , Xu Xu , Zhao Zixuan
Published: November 2018

Financial time series is always one of the focus of financial market analysis and research. In recent years, with the rapid development of artificial intelligence, machine learning and financial market are more and more closely linked. Artificial neural network is usually used to analyze and predict financial time series. Based on deep learning, six layer long short-term memory neural networks were constructed. Eight long short-term memory neural networks were combined with Bagging method in ensemble learning and predicting model of neural networks ensemble learning was used in Chinese Stock Market. The experiment tested Shanghai Composite Index, Shenzhen Composite Index, Shanghai Stock Exchange 50 Index, Shanghai-Shenzhen 300 Index, Medium and Small Plate Index and Gem Index during the period from January 4, 2012 to December 29, 2017. For long short-term memory neural network ensemble learning model, its accuracy is 58.5%, precision is 58.33%, recall is 73.5%, F1 value is 64.5%, and AUC value is 57.67%, which are better than those of multilayer long short-term memory neural network model and reflect a good prediction outcome.
Construction of Blended Learning Based on Moodle
Authors: Zhang Cizhen , Zhong Jiaming
Published: November 2018

In recent decade, with the rapid development of network teaching, people's learning style is developing from single classroom learning to the blended learning with the combination of classroom teaching and online learning. Nowadays, blended learning has become a hot topic of teaching reform in colleges and universities. Combing the general model of blended learning and teaching functions of Moodle platform, the author puts forward blended learning based on Moodle platform, to enhance learning efficiency.
Modeling Analysis and Structural Design of Human Lower Limb Rehabilitation Robot
Authors: Wang Zhiming , Cui Lizhen , Cai Zhenglong , Pang Changfu
Published: November 2018

With the rapid development of science and technology, robots are widely used in rehabilitation training. According to the physiological structure of human lower limbs and gait characteristics of walking, a lower limb rehabilitation robot is designed in this paper. We design the structure in a form of exoskeleton with three degrees of freedom in which kinematics analysis is carried out by the D-H coordinate transformation method. And then we obtain the relationship between the end effector and the angle of each joint. In addition, the relationship between end effector speed and joint speed is obtained through Jacobian matrix and Lagrange equilibrium method is used for dynamic analysis. The joint torque is calculated through the joint speed and three dimensional modeling of lower limb rehabilitation robot was reconstructed by Pro-e. Finally, the driving mode is selected and calculated.
Structure Design And Analysis Of Kinematics Of An Upper-limbed Rehabilitation Robot
Authors: Wang Zhiming , Cai Zhenglong , Cui Lizheng , Pang Changfu
Published: November 2018

According to the physiological structure of human upper limb, a 5-DOF upper-limbed rehabilitation robot is designed in this paper. Based on the software of Pro/E, the robot model is established. Based on the theory of robot coordinate transformation, the equations of motion of robot are established by the method of D-H. Three dimensional model of the rehabilitation robot is imported into the software of ADAMS for the kinematics analysis and simulation. The obtained simulation position curves are consistent with the theoretical position curves, verifying the correctness of the theoretical derivation. The result of the simulation proves the correctness of the kinematics equation. These studies provide an important basis for the realization of mechanism control.
Research and design of intelligent image recognition mechanism and its application
Authors: Wang Xiaoyuan , Wang Jianping , Wang Hongfei , Cheng Wenbing
Published: November 2018

In this paper, an in-depth study on the recognition mechanism (identification experts) and behavioral function simulation is made, and a design method has been developed -----Image recognition mechanism. The research results and methods are expounded. At the same time, experiments are carried out on the above design methods. The effectiveness and feasibility of this design have been proved by experiments. Furthermore, the design of the expert observer is carried out. The design of artificial intelligent character recognition machine. Its ability to recognize complex background images has a high success rate, which has been proved by experiments, and its adaptive ability is very strong.
A novel image registration method for InISAR 3D imaging
Authors: Zhou Zibo , Jiang Libing , Wang Zhuang
Published: November 2018

Image registration is a key intermediate step for Interferometric Inverse Synthetic Aperture Radar (InISAR) three-dimensional (3D) imaging. It arranges the same scatterers of the target on the same pixel cell in different ISAR images, which makes the interferometric processing carried on between the same scatterers to obtain its 3D coordinates. This paper proposes a novel ISAR image registration method of three steps. Firstly, chirp Fourier transform is used to estimate the rotational angular velocity of the target. Secondly, the compensation phase is constructed, according to the rotational angular velocity, to eliminate the wave path difference between different radars echoes. Finally, two-dimensional (2D) Fourier transform is used to yield registered ISAR images. The proposed method achieves the ISAR image registration through phase compensation in echo field, therefore, no extra computation is needed in image field. The experiment results demonstrate the advantages of the proposed method in precision, computation efficiency and practicability.
Visual Target Tracking using Robust Information Interaction between Single Tracker and Online Model
Authors: Gu Yeyi , Zhou Xinmin , Wan Minjie , Gu Guohua
Published: November 2018

In this paper, a novel tracking algorithm based on the cooperative operation of online appearance model and typical tracking in contiguous frames is proposed. First of all, to achieve satisfactory performances in challenging scenes, we focus on establishing a robust discriminative tracking model with linear Support Vector Machine (SVM) and use the particle filter for localization. Intended to fit the particle filter, the outputs of SVM classifier are mapped into probabilities with a sigmoid function so that the posterior of candidate samples is estimated. Then, the tracking loop starts with median flow method and the coordinated operation of the two trackers is mediated by the maximum a posteriori (MAP) estimate for the target probability of negative samples, which is defined during the sigmoid fit. Lastly, for the purpose of model update, we sum up the optimal SVM using a prototype set with the predefined budget, and the classifier is updated on both the prototype set and the updated data from the tracking results every few frames. A number of comparative experiments are conducted on real video sequences and both qualitative and quantitative evaluations demonstrate a robust and precise performance of our method.
Dynamical Model And Ride Comfort Simulation Analysis Of Distributed Drive Electric Vehicle
Authors: Xiao Wenwen , Zhang Huanhuan
Published: November 2018

This paper analyzes the ride comfort of distributed electric vehicle, simplifies a distributed electric vehicle to a fifteen degree of freedom model, and deduces the vibration differential equation by Newton 's second theorem. In this paper, a new type of hub motor vibration reduction system is established, which effectively solves the problem of large unsprung mass of distributed drive vehicles and provides a new method to improve the ride comfort of distributed drive electric vehicles. The genetic algorithm mainly regards the stiffness and damping of the suspension, hub motor damping system and tire as the design variables. The sum of root mean square value of suspension disturbance degree, body acceleration and wheel dynamic load is taken as the optimization objective function, and the limit stroke of wheel up and down and wheel dynamic load limit are taken as constraints. In order to verify the simulation optimization effect, this paper further simulates the natural frequency, damping ratio, stiffness ratio, mass ratio, speed and road surface grade of distributed drive electric vehicle. The results show that the optimization of the stiffness and damping of distributed-drive electric vehicles effectively improves ride comfort and passenger comfort. The 15 DOF model of distributed electric vehicle provides a theoretical basis for analyzing the ride comfort of distributed electric vehicle.
The Deviation Analysis and Application of Correlation Tracking Algorithm
Authors: Zeng Qinyong , Huang Zhengzhong , Qin Kaiyu , Tang Xiangcheng
Published: November 2018

Correlation tracking algorithm is the most widely used image tracking algorithm . Its main error sources include processing error and positioning error. In order to improve the accuracy of correlation tracking algorithm, a mathematical model of positioning error based on the theory of random walk and martingale is set up, and the average time of positioning error exceeds the range is presented. The image-interpolation method and surfaces-fitting method are put forward to suppress the positioning error and improve the accuracy. Simulation results show that: compared with the whole pixel tracking, quadratic interpolation tracking can double the accuracy, and quartic interpolation and surfaces-fitting can improve the tracking accuracy of about 4 times.
An Aquatic Organism Image Retrieval Hash Algorithm Based on DCT
Authors: Yu Yuanhui , Deng Ying , Lin Yanfen
Published: November 2018

In order to overcome the disadvantages of traditional image retrieval algorithms such as inefficiency and time-consuming, an image retrieval algorithm based on DCT Hash is proposed. In this paper, the discrete cosine transform technique is applied to image retrieval. Firstly, the feature hash sequence is generated by computing the DCT transform component of the image based on annular segmentation. Then an image Hash algorithm based on DCT feature Hash sequence is proposed. Experimental results show that the algorithm is robust to image scaling, rotation, noise processing, and has good retrieval performance.
Design and Implementation of a Fully Automatic Assembling System for Automobile Fuel Tank Overturn Valve
Authors: Wang Zhiming , Pang Changfu , Cai Zhenglong , Cui Lizhen
Published: November 2018

At present, at least one or two overturn valves are required in each automobile production process. However, the production and assembly of overturn valve is still in the stage of manual assembly, which leads to low production efficiency. This paper mainly designs a fully automatic assembly system based on the structure of the overturn valve. The automatic assembly system includes loading, assembly, transportation of blanks and other work stations, and automatic assembly based on the PLC control system. At the same time, the human interaction page touch screen is used for data monitoring and parameter setting. The experimental results show that the assembly system can complete the automatic assembly of the overturning valve of the fuel tank stably and reliably
Study of Information Fusion of Distribution Network Automation and Digital Substation Automation
Authors: Zhang Lei , Zhou Yuzhi , Qian Bifu
Published: November 2018

Information fusion of distribution network automation and digital substation automation can improve the efficient use of the digital substation’s distribution network data and strengthen the distribution network. The scheme adds a distribution network area controller for information interaction and integrally models distribution network and digital substation equipment based on the IEC 61850 protocol. This paper details the information fusion scheme of regional distribution network and substation automation system as well as the main function of the controller. The case study demonstrates that the fusion strategy can make the information collection more direct and the fault elimination more intelligent when dealing with the defects and faults of the distribution network.
Research and Application of Mathematical Model of Transmission Grating Signal Lissajous Figure
Authors: Hu Luqing , Lei Xianqing , Wang Xiaoyi , Zhang Yadong , Zuo Xiaolin
Published: November 2018

In this paper, the working principle of the grating measurement system is combined with the Fourier analysis method of Moiré fringe to establish the mathematical model of the grating signal Lissajous figure to know the quality of the grating signal intuitively. The Mathematica numerical analysis software is used to obtain the graphics of the model, and the correctness of the relationship between the parameters of the grating measurement system and the Lissajous figure equation of the grating signal is verified. The influence of the grating pair angle α on the output voltage signal and Lissajous figure of the grating measurement system is studied. The results show that the intensity of the two-phase output electrical signal decreases gradually with the increase of the deviation of the angle α of the grating pair, but the equal-amplitude of the two-phase output electrical signal does not change; Meanwhile, the shape of the grating signal Lissajous figure gradually changes from the ideal circle to the non-ideal ellipse, until a straight line with a strip slope of 135° is formed.
Analysis of the motion characteristics of Marine Mecanum transport platform
Authors: Zhang Ying , Ge Shengli
Published: November 2018

This paper analyzes the shortage of unmanned systems in the traditional operation mode from the operational requirement of future war to unmanned systems, and puts forward the ship Mecanum transport platform.
Design of Intelligent Fast Switch Controller Based on CPLD
Authors: Liu Saifei , Ma Xiaochun , Ni Ruizheng
Published: November 2018

In view of the large volume, complex structure and many transmission links of the current circuit breaker operating mechanism, a new type of electromagnetic actuator and electronic controller are used to shorten the operation time. This paper introduces the hardware and software design of an intelligent fast switching controller based on CPLD. The hardware circuit design of the controller is mainly described, including power supply conversion and charging voltage monitoring, switch state monitoring, control command monitoring, relay output, LED indicator and split switch driving module. The optocoupler isolation is realized between input and output, and the thyristor module is used to drive the capacitor discharge. The feasibility of the design circuit is verified by the actual sampling waveform, which has the advantages of high-speed operation, intelligent control, high technical performance and reliable operation.
Stress relaxation of the infusion tube with a pressure sensor
Authors: Xie Aoru
Published: November 2018

We studied stress relaxation of the infusion tube with a pressure sensor using FEA method. The stress distribution in the tube, the contact pressure on the wall of the pressure sensor, the decay of the reaction force on the wall of the pressure sensor were determined, respectively. Due to the stress relaxation of the infusion tube, the reaction force generated by the tube deformation was decreased by over 75% as compared with the original reaction force in the first several seconds after the infusion tube was set into the pressure sensor.
A method for estimating existence of pairwise STM transaction conflicts
Authors: Popovic Miroslav , Kordic Branislav , Popovic Marko , Basicevic Ilija
Published: November 2018

STM transaction schedulers were introduced to improve system performance. However, designing online transaction scheduling algorithms is challenging because at the same time they should: (i) introduce minimal scheduling overhead, (ii) minimize the resulting makespan, and (iii) minimize contention in the resulting schedule. In our previous work we developed the online transaction scheduler architecture and the four scheduling algorithms, named RR, ETLB, AC, and AAC (listed in increasing order of their quality), for scheduling transactions on the Python STM. Both AC and AAC use Bernstein conditions to check for pairwise data races between transactions, at the cost of time complexity that is proportional to the product of the sizes of transaction’s read and write sets, which may be significant. In this paper we propose a method for estimating existence of pairwise transaction conflicts whose time complexity is Θ(1). We validate this method by analysing the resulting transaction schedules for the three benchmark workloads, named RDW, CFW, and WDW. The result of this analysis is positive and encouraging – AAC using the new method produces the same result as when using Bernstein conditions. The limitation of the new method is that it may have false reports, both false negatives and false positives.
4.5kV FRD Development for high current power modules
Authors: Liu Jiang , Liu Yueyang , Jin Rui , He Feng , Dong Shaohua , Pan Yan , Wu Junmin
Published: November 2018

A 4.5kV/100A FRD was designed by simulation, which had optimized carrier density distribute cell and ruggedness terminal. The cell was composed of P-body/N-sub/N+ layers, when the P-body doping concentration is lower, the carrier density distribution on the P-body/N-sub is lower; when carrier density di stribution on the P-body/N-sub side is lower than that on the N-sub/N+ side, the FRD has soft recovery but bad surge-current capability. So the P-body doping concentration needs trade-off consideration. Lifetime control technology was also used to optimize the carrier density distribution and trade-off characteristics. The terminal has high breakdown voltage, low electric field and large process window, which means more ruggedness and high reliability. The experiment results show that the design chip and competitor chip has nearly the same trade-off characteristics, the design chip has larger dynamic loss but lower static loss. The design chip has high surge current, the surge current is 13 times as much as the rate current.
Real Time In-situ Detection System Research for Methane in Offshore Shallow Gas based on Thin Film Interface
Authors: Miao Cheng-xing , Li Qing , Jia Sheng-yao
Published: November 2018

In order to get ridded of the non real-time detection methods of artificial site sampled and laboratory instrument analyzed in the field of methane detection in the offshore shallow gas, real-time in-situ detection system for methane in offshore shallow gas was designed by the film interface.The methane in the offshore shallow gas through the gas-liquid separation membrane of polymer permeation into the system internal detection probe, analog infrared micro gas sensor sensed the methane concentration and the corresponded output value, data acquisition and communication node fitted into standard gas concentration.Based on the experimental data compared with the traditional detection method, and further analyzed the causes of error produced by the case experiment. The application results show that the system can achieve a single borehole layout, long-term on-line in-situ on-line detection, and improve the detection efficiency and the timeliness of the detection data.
Research on Economics of Mixed Energy Storage for Smoothing Wind Power Fluctuation with Consideration of Confidence Level
Authors: XIE Xintao , LI Hao , PAN Liqiang , XIAO Shuai , LI Mengjiao , WU Zhenyu
Published: November 2018

This paper proposes a research method for mitigating wind power fluctuations in a hybrid energy storage system considering the confidence level of wind power volatility. First, the typical daily wind power output is subjected to Fourier spectrum analysis to determine the frequency range of wind power output, and combined with low-pass filtering to find the optimal cutoff frequency, for obtaining energy storage reference power; Then determining the optimal energy storage reference power by comparing the energy storage reference powers solved at different confidence levels. Finally, empirical mode decomposition (EMD) is used to decompose the stored energy into a series of intrinsic mode functions(IMFs), demarcation of the energy storage reference power with minimum aliasing in the instantaneous frequency-time curve, the high frequency part is configured by power type energy storage, and the low frequency part is configured by energy type energy storage. The simulation of the wind farms in a certain area of Hunan Province is carried out. The result shows that proper reduction of confidence level can reduce energy storage power and capacity.
Design of bootstrap integrated synchronous rectifier
Authors: LIU Shulin , PEI Jinjun , DUAN Ning , ZHANG Shaoxiong , LIAN Rui
Published: November 2018

Based on the research of the development of synchronous rectification technology, this paper proposes a circuit structure of bootstrap synchronous rectifier chip. Firstly, through the research of synchronous rectification technology, the architecture of synchronous rectification chip is determined. After the system design is completed, the internal units of the chip are designed in blocks under the 0.35 μm BCD process, and the specific circuit design is completed. Each unit has been verified by HSPICE simulation and has reached the specified index. The system constructed by this has also been verified by simulation, and the simulation results are consistent with the expected results, indicating that the main design functions of the circuit have been realized.
Simulation Study of Overcurrent Turn-off Capability in 4500V IGBT
Authors: Wang Yaohua , Jin Rui , Zhao Ge , Gao Mingchao , Li Li , Cui Lei , Leng Guoqing
Published: November 2018

According to the requirement of IGBT's over-current turn-off capability, this paper analyzes the factors affecting the dynamic latch-up of IGBT chip during the over-current turn-off process, including the gate width of IGBT cell, the doping concentration of back P + collector and the dVce/dt when the IGBT is turned off. The simulation results show that the anti-dynamic latch-up capability of IGBT can be effectively improved by decreasing the gate width and back P + collector doping concentration. Through multi-cell parallel simulation, it is found that current concentration exists in the process of overcurrent trun-off, which leads to the further increase of the lattice temperature, and the overcurrent turn-off capability declines.
The scheme of wind-storage combined system capacity configuration based on random fuzzy chance constrained bi-level programming
Authors: OU Mingyong , WU Zhenyu , YU Haifeng , JIANG Xing , LI Yinyi , LU Wenlin
Published: November 2018

A random fuzzy chance constrained bilevel programming scheme for distributed wind-storage combined system is proposed. The random fuzzy simulation is used to describe the uncertainty of distributed wind power output. The reliability of randomness and ambiguity is taken as the index to evaluate the capacity allocation scheme of the distributed wind-storage combined system. Considering system power balance, opportunity measurement constraint of static security index and active management (AM) measures, the random fuzzy expectation value of maximum annual profit is set as the upper optimization goal, and the minimum random fuzzy expectation value of the distributed wind power active reduction is set as the lower optimization target. The scheme is constructed by judging whether the static security index of the upper goal satisfies the confidence level of the random fuzzy chance constraint and the coordination of the upper and lower goals. Finally, the random fuzzy simulation, the forward pushback power flow calculation and the genetic algorithm (GA) are applied to solve the model. The simulation result of IEEE 14-bus example shows the effectiveness and superiority of the model and scheme.
A high precision bandgap voltage reference
Authors: Tian XingGuo , Xin XiaoNing , Han DongYang
Published: November 2018

In order to meet the market demand for wide temperature range and high precision bandgap voltage reference, this paper designs a bandgap reference with wide temperature range and low temperature coefficient. In this paper, the basic implementation principle of the bandgap reference is analyzed.On the basis of the traditional bandgap reference circuit structure,this design adds a trimming network and a temperature compensation network. A new Gaussian bell curve compensation technique is adopted to compensate the low temperature section, and the normal temperature section and the high temperature section respectively. Compared with the existing compensation technology, the versatility and the compensation effect is better. The designed circuit is designed and manufactured based on the Huahong HHNECGE0.35um process. The results show that the output voltage is 2.5V at 2.7V supply voltage and temperature range of -40-125°C.at typical process angle ,the temperature coefficient is 0.54618 PPm/°C,and is within 1PPm/°C at other process angles.
Detection of Adulteration in Camellia Oil Using Near-Infrared Spectroscopy
Authors: Luo Qingsong , Yu Yaru , Xu Qiang , Chen Yang , Zheng Xiao
Published: November 2018

Near-infrared spectroscopy (NIRS) combined with chemometrics analysis was used in this study to qualitatively and quantitatively determine the adulterated Camellia oil. A binary model was constructed for determining both the authenticity and the number of adulterated contents. NIRS combined with support vector machine classification was used to establish a full spectral model and a selected spectral model via competitive adaptive heavy-weighted sampling and backward interval partial least squares. Notably, both of them were proved to be suitable for determining the authenticity of Camellia oil. NIRS combined with support vector machine regression may be used to predict the amount of adulterated content in Camellia oil because of the high model correlation coefficient (R was higher than 99%, and the maximum mean square error was 0.0605).
Design of Control System for Motor Stator and Rotor Height Difference Detection Device Based on PLC
Authors: Han Pengfei , Xu Tenggang , Zhu Jianjun
Published: November 2018

The design of a control system of the stator and rotor height difference detection device for air conditioning compressor motor based on PLC control, including hardware system, control system. XTG105 grating micrometer sensor is used to detect the difference between stator and rotor height. MITSUBISHI FX3U PLC controller is adopted as the system control core. The system parameter setting and operation monitoring are carried out through the WEINVIEW TK6070ip color display touch screen to ensure the normal operation of the system. The system controls the height difference detection device to automatically complete the detection, determination, marking and other processes. The working state is stable and the detection precision is high.
Recursive of Least Square Based Online Calibration Method in Geomagnetic Detection
Authors: Li Long , Huang Jiacai
Published: November 2018

With the problem of attitude measurement accuracy is susceptible to various errors of geomagnetic survey, this paper establishes geomagnetic measurement error ellipsoid model by analysis of on the environment and own errors, uses the maximum likelihood algorithm for solving the static error correction coefficient. The experimental results show that, the maximum of attitude angle errors is less than 5° near blind direction, online combination correction can ensure the accuracy of attitude detection system under different shooting conditions.
Progrès de la thérapie génique
Authors: Calvet Charlotte , Lahlou Ghizlene , Safieddine Saaid
Published: November 2018

La perte de l’audition et/ou de la fonction d’équilibration est un problème de santé publique majeur. La surdité touche des millions de personnes dans le monde. Leur prise en charge actuelle repose sur une réhabilitation prothétique sans réelle thérapie curative. Après deux décennies de recherches qui ont permis de progresser dans la physiopathologie de différentes formes génétiques de surdité, des avancées majeures ont été obtenues grâce à des études précliniques utilisant la thérapie génique virale chez l’animal. Ce succès, largement dû à l’amélioration des vecteurs de transfert, pourrait à terme révolutionner la prise en charge de certains malentendants. Nos progrès dans la compréhension des mécanismes cellulaires et moléculaires impliqués dans le fonctionnement de l’oreille interne ont contribué à ouvrir la voie à cette recherche à visée thérapeutique, qui consiste le plus souvent à remplacer localement les gènes endogènes altérés. Le but de cet article est de résumer les progrès récents de la thérapie génique dans la restauration des fonctions cochléaire et vestibulaire dans des modèles murins du syndrome d’Usher, principale cause génétique de surdité associée à une cécité. Nous nous concentrerons sur les approches thérapeutiques présentant le plus fort potentiel d’application clinique.