bluuebunny/crossref_metadata_2025_split huggingface dataset:
Method to Obtain Target Speed with Underwater Acoustic Positioning System
Authors: Lv Chengcai , Shen Binjian , Tian Chuan , Xu Dazhen , Song Yuanjie , Luo Peng 
Published: November 2019

Abstract
There has been considerable recent interest in the positioning of autonomous underwater vehicles (AUVs). Underwater acoustic positioning system (UAPS) are usually used to determine position and speed of the moving target in water environment. Generally, moving target speed is estimated by derivative of the target position with traditional method. However, this approach relies heavily on accuracy of positioning. Thus, this paper presents a novel method for estimation of target speed with the UAPS only, especially with long baseline (LBL) acoustic positioning system. The method is made by estimating the Doppler frequency shift of the received signals and solving the set of linear equations. It could depend less on positioning accuracy than the traditional method. What’s more, it works well even though the moving target is subjected to acceleration or jerk. With simulations by MATLAB, it is shown that the method achieves very good performance.
Research on GSTAR-SVM Traffic Prediction Model Based on Wavelet Transform
Authors: Hu Jinghao , Wang Shandong , Mao Jian 
Published: November 2019

Abstract
With the continuous advancement of urbanization in China, the number of urban vehicles has increased rapidly, and traffic congestion has become an urgent problem for modern cities. Therefore, accurate real-time traffic flow prediction is of great significance for solving this problem. However, traffic flow, as a special type of prediction object, has the characteristics of complexity, uncertainty and nonlinearity, which bring great difficulties to the prediction, and the external spatial correlation also has a great influence on the prediction results. In this paper, based on the above problems, the GSTAR-SVM traffic prediction model based on wavelet transform is constructed to predict the short-term traffic flow, and the model is verified based on the data. The experimental results show that the proposed model has higher prediction accuracy.
Study on SEC Reserve Evaluation Method for Low Permeability Reservoirs
Authors: Sen Liu 
Published: November 2019

Abstract
SEC reserves assessment is an important indicator to measure the development potential of oil companies. Based on the evaluation of SEC reserves, this paper summarizes the dynamic evaluation methods of SEC reserves, including analogy method, volume method, decline method, material balance method and reservoir simulation. Among them, the decline method is the most commonly used method, which has the characteristics of easy prediction of production and economic life cycle. Therefore, this paper discusses how to choose the decline method, the initial output and the determination method of the decline rate.
Research on the Spread of Embroidery Art and Non-material Culture and Art in the Internet Multimedia Age
Authors: Wang Qinghai , Zhe Zhang , Xing Yadan 
Published: November 2019

Abstract
With the rapid development of industrialization, traditional handicraft has disappeared silently. Therefore, in the era of rapid development of information technology, it is of great significance to widely disseminate embroidery art of traditional culture through digital technology. This paper expounds the concept of digitalization, and from the thinking dimension of digitalization communication, puts forward the way of embroidery art communication in the Internet multimedia era.
An Analysis of the Path of the Reform of Mixed Ownership in State-owned Enterprises
Authors: Wang Zhen Min 
Published: November 2019

Abstract
The report of the 19th National Congress pointed out that it is necessary to develop a mixed ownership economy and cultivate world-class enterprises. This paper analyzes the history, background and significance of the reform of state-owned enterprise mixed system with the aim of exploring the path of mixed ownership reform of state-owned enterprises. Based on the analysis of the existing problems, some suggestions are proposed.
Semi-supervised Classification Method for Remote Sensing scene Based on Deep Learning
Authors: Han Yaochang , Wang Jie , Lu Li 
Published: November 2019

Abstract
Aiming at the classification problem of remote sensing scenes, this paper proposes a semi-supervised deep learning method combining the generative generation network with the convolutional neural network. The method improves the loss function of the deep convolutional generation network, and designs the even convolutional network EM-10 and its transposed convolution network as discriminators and generators respectively, which improves its ability to extract remote sensing features. The trained discriminator is used for the classification of remote sensing scenes with an accuracy of over 90%.
Direct-ORB-SLAM: Direct Monocular ORB-SLAM
Authors: Cui Linyan , Ma Chaowei , Wen Fei 
Published: November 2019

Abstract
Simultaneous Localization and Mapping (SLAM) plays an important role in the computer vision and robotics field. The well-known ORB-SLAM extracts ORB features and uses feature matching to estimate the camera pose and construct a sparse map. However, the features extracted in the common frame (relative to the keyframe) are not used again except in this camera pose estimation stage, which will cause the waste of computation resources. In this work, we propose a new SLAM framework, i.e. Direct-ORB-SLAM. It uses image intensity for data association in common frames to avoid the redundant computations and performs the relocalization and loop closure detection in ORB-SLAM2 for keyframes. The photometric calibration is also employed to benefit for accuracy and robustness. The popular public dataset EuRoC is adopted to approve the efficiency of proposed method. Results indicate that the proposed Direct-ORB-SLAM algorithm runs two times faster than the well-known ORB-SLAM at the expense of a slight reduction in accuracy.
A Zero Velocity Detection Method for Soldier Navigation Based on Deep Learning
Authors: Zhu Tengda , Pan Xianfei , Zhang Shufang 
Published: November 2019

Abstract
In this paper, deep learning is introduced into the zero-speed detection of individual navigation. Through the combination of one-dimensional CNN and LSTM, the accuracy of zero-speed detection is further improved, and other cumbersome adjustment procedures based on thresholds and other methods are avoided. At the same time, a method of establishing a zero-speed label using ultrasonic ranging method is also demonstrated. Since the error of running and other sports mainly comes from the device error and not the algorithm itself, in this paper, the 6-axis IMU data is first imported into the one-dimensional CNN and is divided into a part that can perform zero-speed detection and a part that is not suitable for zero-speed detection. It can be used for zero speed detection and reuse LSTM based zero speed detection. Compared with other algorithms, this method uses the deep learning method to train the appropriate model in advance and can be used without adjusting the reference. It is especially suitable for the urgency of the soldier’s mission. The experimentally proven SHOE algorithm has a navigation accuracy of less than 3.5m/186.06m without adjustment, and the accuracy of the proposed method is stable above 1.0m/186.06m, which improves the overall navigation accuracy.
Numerical research of influence of residual stress on interface crack propagation
Authors: Chen Li , Ding Ke-qin 
Published: November 2019

Abstract
The crack propagation was simulated by a generalized potential-based mixed-mode (PPR) cohesive interface model. Based on the principle of equivalence of thermal and mechanics, the effects of residual stress on interface crack propagation was researched by finite element model. The results demonstrate that residual compressive stress is more likely to cause material interface crack propagation. The material interface is more likely to fail when there is residual compressive stress in the material. The residual compressive stress is more likely to cause the interface crack propagation when the crack propagation length caused by certain residual compressive stress value is seen an important influence parameter.
Study on beam bunching and rotation characteristics of low power laser in permanent magnetic field
Authors: Wang R , Lu Y H , Zhang C , Zhang J 
Published: November 2019

Abstract
In this paper, a test platform based on the Faraday Effect was designed to investigate the beam bunching and rotation characteristics of low power laser in permanent magnetic field. By changing the structural parameters of the permanent magnetic confined cavity, the effects of permanent magnetic field on the rotation characteristics of linearly polarized light and the beam bunching characteristics of low power laser were studied. In the tests of the rotation characteristics of the linearly polarized light, it was found that the rotation angle of linearly polarized light tended to decrease with the increase of the diameter of the magnetic cavity and the decrease of the number of magnets. The maximum rotation angle of linearly polarized light was 142.6°, and the minimum rotation angle was 13.6°. In the tests of beam bunching characteristics of low power laser, it was found that the laser spot area had a slight reduction and the laser power was slightly enhanced when the magnetic flux density increased from 0.4563T to 0.8243T, which proved that the strong magnetic field had a bunching effect on the low power laser.
A Type of Electromagnetic Biased Axial Magnetic Bearing with Low Target OD
Authors: Kong Ruijie , Mei Lei 
Published: November 2019

Abstract
A type of electromagnetic biased axial magnetic bearing is proposed. Compared with traditional axial magnetic bearings, it has low target OD, which is helpful to improve the critical speed of the rotor in theory. By using the equivalent magnetic circuit method, a magnetic circuit analysis is carried out. The expressions of magnetic flux density of each part are obtained, and the structural parameters are obtained and the finite element model (FEM) is established. The magnetic flux leakage coefficient and magnetic reculance are calculated by using simulation data, and the rationality of the parameter design is verified. The results show that the parameter design and electromagnetic field simulation of this type of the electromagnetic bias axial magnetic bearing are in accordance with the rationality of the design. It can be used as a reference for the design of magnetic bearing.
Research on the health management of an automatic magazine control system to the naval gun
Authors: Jiang H , Yao ZH , Xun P P 
Published: November 2019

Abstract
According to the problems of low maintenance efficiency and high cost for traditional regular maintenance and after-the-fact maintenance methods, PHM technology is introduced to improve the success rate of the system operation, extend the service life, and reduce maintenance difficulty and cost. Aiming at the overall situation of the automatic magazine control system of a large-caliber gun weapon, a new health management system based on a data-driven method is proposed. Establishing a PHM model applied to automatic magazine control system by using the structure of open system architecture for condition-based Maintenance (OSA-CBM); the prediction and evaluation function of PHM system is studied with an example of transfer servo drive system; the prediction model based on BP neural network is established to predict the health parameters of the automatic magazine control system. Then the health state of system is evaluated according to the prediction result and the function is verified by simulation. The simulation results show this BP neural network model is applicable for the parameter prediction of the prediction and evaluation module of the automatic magazine PHM system. The prediction accuracy is over 90%, and the model has a good applicability.
The Maximum Potential Analysis of Wind Plant Development Based on Power Storage’s System Self-adaptive Tracking Control
Authors: Xue Feng , Wangcheng Long , Wenhua Yang , Zheng Chen , Xiaoli Gao 
Published: November 2019

Abstract
Wind plant had a great influence on the power grid operation because of the volatility to the power supply layout. Moreover, the power system cannot consume all generated power when it exceeded the demands. However, the power storage device would change the wind plant output curves, and then the more new energy power could be utilized. How to analyse the maximum potential was an important matter to energy planning and power system development. The analysed results could decide the trends of energy supply structure in the future. In this paper, the reasonable generation scale arrangement was discussed considering the energy resources, land planning, ecological requirements, and the power storage system tracking control principle was proposed to optimize power output.
Pose Error Compensation for the Actuator of an Automatic Docking Connector
Authors: Zhou Cheng , Yu Cungui , Liu Huaying , Zhao Chun 
Published: November 2019

Abstract
To improve the automatic docking connector (ADC) of a launch vehicle docking accuracy and reduce the pose error of the actuator, an error compensation prediction model based on BP neural network is established. An error compensation method based on pseudo-object pose is developed to ensure the real-time performance of the control system. A prototype ADC is constructed, and a control system was set up to verify the effectiveness of the proposed error compensation method. A comparison of the measured positions before and after the application of error compensation and the theoretic position of the reference point revealed that the output error could be significantly reduced after application of the proposed error compensation method.
Research Status and Progress of Oxygen Sensor
Authors: Shuaishuai Lv , Jiaqiao Zhang , Hongjun Ni , Haiqin Huang , Xingxing Wang , Jianbing Tao , Wenxiu Kang 
Published: November 2019

Abstract
The research progress of oxygen sensors was reviewed, the working principles of different types of oxygen sensors were summarized, and the control methods of temperature and pump current were briefly introduced. Then some problems encountered in the development of oxygen sensors were pointed out. Finally, the oxygen sensor technology was summarized and prospected.
An approach of FEM analysis of the influence of pretension on the transverse vibration of belt drive
Authors: Nie Wenting , Zheng Dayu 
Published: November 2019

Abstract
Belt drive has been widely used in various types of mechanical transmission. Because the belt is sensitive to the pretension, the tension force directly affects the vibration characteristics of the belt, in order to reduce the impact of the pretension on the belt drive, the finite element software is used to simulate the belt, the effect of the change in pretension on the frequency and amplitude of the transverse vibration in the belt drive is obtained. Reasonable selection of the pretension can reduce the vibration amplitude of the belt, reduce the transmission noise and improve the service life of the belt. This method can provide reference for vibration characteristics analysis and system design optimization of the belt drive structure.
The optimization of parameters for controlling iron ore sintering process based on maximum satisfaction
Authors: Yunlian Liu , Xinjun Li , Dan Gao 
Published: November 2019

Abstract
This research put forwards a stepwise parameter optimization approach based on maximum satisfaction aiming at the characteristics of multi-process control indices and cascading in iron ore sintering process. Given the sintering process involves multiple quality indices and the demand of reducing cost of first proportioning and the consumption of coking coal has to be met, we built a satisfaction evaluation function, based on which, an improved whale optimization algorithm(IWOA) is used to optimize control parameters. Simulation results indicate that the optimization approach of control parameters proposed in this research can effectively promote the quality indices of increasing sintering iron ore and decrease production cost.
Control Strategy of Energy Storage Inverter Based on Virtual Synchronous Generator Technology
Authors: Chen Yin , Men Fuyuan , Wu Yichun , Zhao Daiping , Li Caifang , Liang Hao 
Published: November 2019

Abstract
In the microgrid system, the power supply quality of sensitive loads is directly affected by the grid-connected and off-grid operation states of the energy storage power supply as well as the dynamic switching process between the two states. To solve this problem, this paper adopts a control method of energy storage inverter based on virtual synchronous generator, which makes the energy storage inverter equivalent to a controlled voltage source with functions of inertia simulation, frequency modulation and voltage regulation. Besides, a seamless switching control strategy of energy storage inverter is proposed, which can realize the automatic smooth switching of the grid-connected state, off-grid state and state between the two.
Study on Forming Technology of TBM Disc Cutter Ring
Authors: Hu Yong , Li Maosen , Fu Zhongguo , Hu Yikai , Zhang Aiwu , Cao Changye 
Published: November 2019

Abstract
The tunnels and underground projects bring an unprecedented development of hard rock tunneling technology. The forming process and material properties of the 20 inch disc cutter ring has been studied by the finite element simulation and test methods. The effects of blank size, blank heating temperature, mold preheating temperature and friction coefficient on the forming load, minimum surface temperature and blank deformation uniformity of 20 inch cutter ring were analyzed. The results show the optimum combination of the forming process of the 20 inch disc cutter ring is when the blank height is 90 mm, the blank heating temperature is 1200 °C, the preheating temperature is 280 °C, and the friction coefficient is 0.2. Compression test and hardness test were carried out on the edge material of the cutter ring. The test results show that when the temperature exceeds 600 °C, the hardness and compressive strength of the cutter ring material will drop sharply. Therefore, the TBM should be properly cooled during construction. The research results in this paper can provide a basis for the optimization of TBM disc cutter ring processing technology and engineering applications.
Research on millimeter wave spectrum planning for 5G
Authors: Kang Guoqin , Jiang Shuiqiao , Zhao Zhiyuan 
Published: November 2019

Abstract
In order to allocate reasonable frequency resources in millimeter wave band for 5th-Generation (5G), this paper summarizes the position and consideration of USA and China. It analyses the feasibility of sharing and compatibility in 24.25-27.5GHz, 66-71GHz, 81-86GHz with Monte-Carlo simulation. There is a high possibility to allocate 24.75-27.5GHz, 66-71 GHz and 81-86 GHz to 5G in ITU and China. But the commercial deployment in millimeter wave in China will be delayed 1-2 years because of industry bottleneck.
A Method for Dividing Line Replaceable Unit
Authors: Zhiming Guo , Ying Liu , Changfu Li , Hu Qiao 
Published: November 2019

Abstract
The problem of dividing the line replaceable unit (LRU) is one of the urgent problems to be solved in the RMS field in recent years. This paper proposes a method of line replaceable unit division, based on actual needs, to study the need of LRU division trade-off. On this basis, the indicators and parameters of LRU division trade-offs are studied to realize the scientific division of LRU, which provides support for product reliability, maintainability, supportability and test engineering design and analysis.
Finite Element Analysis of Underwater Ultrasonic Cleaning System Based on Ansys
Authors: Xu Haoran , Zhang Guohua , Wang Yanqing 
Published: November 2019

Abstract
In this study, the finite element model of the ultrasonic cleaning system was established and the harmonic response analysis was carried out to obtain the vibration distribution of the ultrasonic cleaning floor and the sound pressure distribution in the water. Scanning electron microscopy was used to observe the adhesion of fouling organisms. The results show that the ultrasonic treatment mode has a significant effect on the microscopic fouling adsorption of PMMA surface. When the total time of the ultrasonic action is same, the shorter the ultrasonic interval time, the more significant the effect of ultrasonic decontamination.
LED filament standard lamp for total luminous flux with uniform spatial distribution
Authors: Yan J , Liu H , Zhao W , Su Y 
Published: November 2019

Abstract
To measure the total luminous flux emitted by a light source, the standard lamp which provides an absolute value of the total luminous flux is used with a sphere-photometer. Many institutes have developed their standard lamps based on LED. However, it is difficult to acquire uniform light distribution like the traditional incandescent lamps. To solve this problem, a novel LED filament standard lamp for total luminous flux is developed. First, a luminous intensity distribution model of a single LED filament is established. Based on this model, a method to calculate the luminous intensity distribution of multiple LED filaments is derived. To evaluate the uniformity of a light source, a spatial distribution uniformity index is introduced. Second, the spatial distribution uniformity index of the developed standard lamp is calculated by simulation and the optimal design is obtained. Experiment shows that the LED filament standard lamp for total luminous flux with the optimal design obtained uniform luminous intensity distribution in 4π geometry.
User Departure Behavior Prediction in Social Group
Authors: Liu Jiayi , Han Qilong , Li Yinlong 
Published: November 2019

Abstract
We proposes a departure behavior prediction algorithm to predict the user’s departure behavior. The k-core decomposition is conducted on the graph. By considering the positive and negative affect users obtain, we calculate a score for each user. Finally, the user is predicted by the sliding window model. Experiments show that the DBP algorithm has a high prediction.
Community Detection based on Autoencoder Reconstruction Similarity Matrix
Authors: Li Yinlong , Han Qilong , Liu Jiayi 
Published: November 2019

Abstract
Community detection plays an important role in various fields. In the existing community detection algorithms, adjacency matrix is widely used in the process of community detection. However, the adjacency matrix cannot show the tightness between nodes and cannot show the characteristics of nodes. To solve this problem, we propose the concept of similarity matrix. We calculate the similarity of any two connected nodes and get the similarity matrix. Then, we use autoencoder to reconstruct the similarity matrix. The reconstructed similarity matrix can better reflect the node features. Based on the reconstructed similarity matrix, we propose a feature distance optimization formula. According to the feature distance optimization formula, we continue to optimize and reconstruct the community until we get the optimal community. Experiments on multiple real data sets show that compared with other classical efficient community detection algorithms, our proposed algorithm is more accurate in community detection.