bluuebunny/crossref_metadata_2025_split huggingface dataset:
Study on Thermal Performance of Silicon Oil Clutch for a Cooling Fan
Authors: Zhai Shufeng , Yao Qian 
Published: August 2019

Abstract
In this paper, a silicone oil fan clutch is taken as the research object. The finite element model of the clutch is established in the form of hexahedral mesh by using HyperMesh software. The thermal field and flow field are coupled in the model and simulated. The temperature distribution of the front and rear ends of the clutch is simulated and analyzed. The relationship between the number of radiating ribs and the temperature distribution of the front and rear ends of the clutch is analyzed. The temperature distribution of the front and rear ends of the clutch is tested by the silicone oil fan clutch performance test rig. The experimental results are consistent with the simulation results, and which shows that the finite element model is feasible. The influence of the number of radiating ribs and the internal structure of the clutch on the heat dissipation performance of the silicone oil fan clutch is calculated and studied. The results have important guiding significance for improving the silicone oil fan clutch and shortening the development cycle of the clutch.
2-D Scanning LiDAR with MEMS Mirror and STM32
Authors: Yangyang Wu , Qian Ke-Yuan 
Published: August 2019

Abstract
In this paper, the 2-D scanning rangefinding LiDAR based on MEMS mirror and STM32 is proposed, in terms of time-of-flight(TOF) measurement, employing a APD as photodetector in order to steer nanosecond pulsed beam. The aim, centimeter-level measurement accuracy with low power consumption and a scanning angle of $+/-30^\circ$, were achieved using application-specific integrated circuits, optical system, TDC-GP21 chip and MEMS mirror. Compared to the traditional system, the volume of this model is much smaller. The basic function of the scanning system of receiver optics is already checked experimentally.
The Accumulative Component Kurtosis in the SVD Based Denoising of the Fault Diagnosis for Rolling Element Bearing of Generator
Authors: Li Xiaoquan , He Jiangjiang , Cheng Yuemeng , Zhao Yuwei 
Published: August 2019

Abstract
Rolling bearings are important load-bearing components that are prone to failure, so it is necessary to reveal their failure mechanisms. As the singular value mainly reflect the energy of the decomposed singular components (SCs), the singular value decomposition (SVD) de-noising tend to preserve the significant-energy SCs and ignoring the neglected one, thus weaken singular has the ability to detect the incipient fault of the mechanical systems. In this paper, accumulative component kurtosis based SVD reconstitution scheme is proposed for mechanical signal denoising to detect the incipient fault of the generator systems. With the kurtosis index, the decomposed SCs can be evaluated and sorted not only according to their energy but also the contribution to the de-noising effect. In this way, the sensitive SCs could be taken into calculation effectively. The advantages of the ACK-SVD over traditional approaches are verified by both simulated signals and real vibration data from the rolling element bearing rig. The results proved the incipient fault feature even with heavy background noise could be extracted successfully.
Vibration control of two-degree-of-freedom exponentially damped oscillators
Authors: Xiu Guozhong , Bao Shi , Zhao Wenfei , Yuan Jian 
Published: August 2019

Abstract
Vibration control of two-degree-of-freedom (2DOF) exponentially damped oscillators is considered. Firstly, the equations of motion for 2DOF exponentially damped oscillators are established by using the nonviscous damping models that depend on the past history of motion. Secondly, the equations of motion for 2DOF exponentially damped oscillators are transformed into state equations with six dimensions by using a set of internal variables. Thirdly, Sliding control design is proposed. Furthermore, this control method can also be used in the multi-degree-of-freedom (MDOF) exponentially damped oscillators. Finally, numerical simulations are provided to illustrate the above control designs.
Classification of Ischemic Stroke Lesions Based on Cascaded Branch Compression Neural Network
Authors: Jiang Fengbing 
Published: August 2019

Abstract
Automatic differentiation of disease images with machine vision technology is of great significance for medical diagnosis. This paper proposes a deep neural network architecture to achieve the classification of ischemic stroke lesions. The proposed architecture uses a cascading approach. The image obtained by down-sampling each image and the original image are respectively input into two convolutional neural networks of different depths and are associated with each other through a cascade structure to solve the defect that the single network cannot balance the local features and the global features. In addition, the use of smaller images obtained after downsampling can effectively improve the operational efficiency of deep networks. The experimental results show that the proposed algorithm can balance the accuracy and timeliness well.
A Deep One-class Model for Network Anomaly Detection
Authors: Dai Songlin , Yan Jubin , Wang Xiaoming , Zhang Lin 
Published: August 2019

Abstract
For traditional network anomaly detection system, the detection performance is related to the selected features and training dataset. But traditional methods adopt handcraft feature selection, which requires heavy human labour and relies on the experts’ knowledge and experience. Besides, the collected dataset for training is not balanced, which makes the prediction of the trained model tends to be biased to the majority class. In this paper, a one-class network anomaly detection model based on the stacked autoencoders was proposed. We use the stacked autoencoders to select the prominent features from the raw collected data, then apply the one-class classification algorithm support vector data description to train a classifier to identify the network traffic into normal data and anomalous data. The experimental results demonstrate the promising results of our approach for network anomaly detection.
Abrupt motion tracking of Ochotona curzoniae via improved motion model based on particle filter
Authors: Chen HaiYan , Zeng YuHui , Chen Gangqi 
Published: August 2019

Abstract
The movement of Ochotona curzoniae is random, unpredictable, and often accompany by abrupt motion, Ochotona curzoniae has protective coloration, and possesses the characteristic of having low contrast with its typical background. Particle filter algorithm has been widely used to solve tracking problems, they can solve nonlinear and non-Gaussian problems. The motion model of the particle filter tracking algorithm ignores the acceleration factor, the observation values of position could not represent the future position. Due to this problem, this paper introduces acceleration variance of the “current” statistical model to motion model. In addition, this study fuse color feature with gradient feature as an observation model to overcome interference factors like a complex background, and low contrast. The experimental results show that the improved motion model and observation model has a better performance for abrupt motion, and could accurately track Ochotona curzoniae.
Optimization Design of the Wire Repair Tool for the Maintenance Robot with Charged Used in Substation
Authors: Dong Xu , Fu MengChao , Li Jianxiang , Li Jian , Zhao Yabo 
Published: August 2019

Abstract
With the continuous development of the society, the development of the power grid is faced with the demand for high power supply reliability and high power quality, and there are fewer and fewer opportunities for power outage maintenance on important and critical lines. The damage of the wires in the overhead lines of the substation will affect the efficiency of the transmission. In this paper, the optimization design is carried out on the basis of the wire repair tool. The optimized tool adopts the structural design of the wire repair tool with insulating material to ensure the insulation performance. In this paper, the optimization design of the repair patch, clamping arms, transmission mechanism with worm gears and worm shaft, and wire gathering device is carried out. The structure, the motor drive system and control principle of the tool are also improved. The wire repair tool has been optimized for miniaturization, light weight, and intelligence
Application of Labview machine vision in bearing size measurement
Authors: Huang Shuai , Shi Liping 
Published: August 2019

Abstract
Bearing is widely used in mechanical equipment, and its manufacturing accuracy has a very important impact on the normal operation of mechanical equipment. This paper mainly introduces the Labview software as the development platform to build a set of size measurement system of bearing parts based on machine vision. The hardware consists of CCD camera, light source and ball bearing. Using Labview and its visual tools, the program of bearing size measurement is developed. The results show that the method is stable and practical, and can meet the requirements of industrial testing. The accuracy is about 0.2mm.
The design of medical micro atomization device based on piezoelectric actuators
Authors: Zhou Haimin , Shi Liping , Tan Jiliang , Huang Shuai 
Published: August 2019

Abstract
In this paper, there is much demand for more advanced inhaled drug treatment on respiratory diseases treatment, so we design and manufacture a kind of medical micro atomization device based on piezoelectric actuators. In the experiment, the first measuring method we used is the diameter of the fog particles compare with quartz round bead in 1 micron. The second measuring method is weighing bibulous desiccant. The experimental results show that the fog particles produced by micro atomization device is 3 ∼ 4 microns in diameter, and fog particles rate is 0.07 ∼ 0.08 g/min. These data basically meets medical micro atomization device design requirements for the diameter and flow rate of fog particles on respiratory diseases treatment.
Design of Integrated Impeller Processing Fixture and Force Analysis of Key Parts
Authors: Liao Longxing , Gao Peili , Meng Xiangdong , Meng Zhaohang , Xie Wenxiang , Zhang Zhenyu 
Published: August 2019

Abstract
This paper designs a box-type fixture based on SolidWorks software so as to provide a special fixture for stable and fast positioning of integrated impeller processing. It uses mechanics to analyze the force of the central axis, and the Simulation module to conduct stress and strain calculation. Example verifies the feasibility of the design. The design analysis provides a theoretical basis for the integrated impeller processing industry and is practical for its reference value.
Design and Simulation of a Compliant Mechanism Based on Crossed Curved Beam
Authors: Lin Sheng , Wang Xinning 
Published: August 2019

Abstract
A compliant mechanism based on the crossed curved beam is proposed. The working principle of the mechanism is induced. The finite element method is utilized to analyse the statics and dynamics of the compliant mechanism. Results show that the compliant element of the crossed curved beam has higher bearing capacity. The six-order natural frequencies and vibration types of the compliant mechanism are obtained. The vibration types are in accordance with the degrees of freedom.
The Application Module Design of Three Application Scenes of Intelligent Exhibition
Authors: Zhang Jiankang , Fan Jiaxuan , Ni Xiaowei 
Published: August 2019

Abstract
Intelligent venue, intelligent exhibition and intelligent conventions are three application scenarios of intelligent exhibition. The application module design of intelligent venue includes a basic business module, personalized experience module, system integration module, and people flow value module. The application module design of intelligent exhibition includes builder management system, exhibition customer relationship management system, exhibitor management platform, audience registration management, the system to match business opportunities, exhibition data analysis, etc. The application module design of intelligent conventions includes VIP database, reception service, convention service module, etc. Chinese exhibition enterprises should further explore and practice three application scenarios of intelligent MICE to meet the development needs of new forms of exhibitions.
Reading Aviation Wire Text in Natural Images under Assembly Workshop via Deeplearning
Authors: Li Shufei , Zheng Lianyu , Wang Yiwei , Zhang Renjie 
Published: August 2019

Abstract
Reading aviation wire text is an important step for aircraft wire assembly and also a challenging problem. Aviation wire text reading means to detect and recognize the serial number printed on the surface of aviation wires or aircraft cables. The main challenges of this task lie on small sizes, low contrast and background noise in images. In this paper, we propose a new method for aviation wire text detection and recognition via deep neural networks. The detection network utilizes text border features to roughly locate text regions in images. Then the coordinates of bounding boxes of texts are regressed by pixel-level predicted offsets in adjacent regions. The recognition network is capable to recognize the text regions with diverse lengths after padding strategies. In addition, a dataset of aviation wires captured by machine vision camera in the assembly workshop is developed. A flexible method to generate synthetic images of text whose characters are arranged in styles of both head-to-tail and left-to-right is presented. On aviation wire datasets, the proposed method for text detection and recognition achieves comparable performance and significantly outperforms previous approaches.
Design of ZVS DC/DC converter based on DSP2812 phase-shifted full bridge
Authors: Qi Hui , Liu Kaifeng 
Published: August 2019

Abstract
The phase-shifted full-bridge DC/DC converter is a very important component of power electronics and is suitable for medium and large power output applications based on switching power supplies. Aiming at the implementation of soft-switching and the problem of power loss, this paper firstly describes the structure and working mode of DC/DC converter, then analyzes the calculation and selection process of resonant inductance and capacitance parameters in the converter, and finally adopts the traditional PI control to achieve stable control of the output voltage. The simulation and experimental results fully prove the feasibility and rationality of the design and parameter selection of this scheme.
Design on Program-Controlled Initiation System of the SCB explosive devices Based on Optical Fiber Communication
Authors: Li Yunfei , Jia Ningke , Wu Xiaolong , Hu Ye , Cao Xiaopeng 
Published: August 2019

Abstract
A control system for Semiconductor Bridge explosive devices is designed based on optical fiber Communication, which can make the explosive devices perform better in the complex electromagnetic environment. By the combination of programmable bus controller, ignition unit and the optical fiber communication, the ignition of the explosive devices in chronological order could be realized. After the system design was completed, the major function and anti-electromagnetic interference capability were tested. The results indicated that the system had remote-control ability, high reliability, high security and good electromagnetic compatibility. The system can be used in more complicated electromagnetic environment than the conventional initiating explosive devices.
Design of UAV Detection Scheme Based on Passive Acoustic Detection
Authors: Jin Hengkang 
Published: August 2019

Abstract
With the rapid development of UAV technology, the “black flight” of UAV is an urgent problem to be solved in daily work and life. In this paper, the current research status of unmanned aerial vehicle (UAV) detection system at home and abroad is described, and a design idea of UAV detection system based on sound signal is proposed for radio spectrum monitoring, radar detection, light detection and exploratory problems. Combined with the needs of the problem, aiming at the three key problem links of the system, the paper puts forward specific solutions to provide the foundation for the system implementation and application in the next step.
Comprehensive evaluation for active distribution network
Authors: Hao Yongjing , Qian Jiang , Zhao Yi , Feng Zuodong 
Published: August 2019

Abstract
Recently, the integration of DG (distributed generation) with high penetration and new loads lead to the transformation to active distribution network. Thus, it is necessary to propose a more suitable comprehensive evaluation index system to achieve the scientific evaluation of operation state and the development of active distribution network. This paper presents a new comprehensive evaluation index system for the active distribution network considering the influence of DG and new load. The combined weighting method based on the variable weight theory and the multi-layer fuzzy comprehensive evaluation method based on the improved trapezoidal cloud model is proposed to solve the model. Finally, case study is carried out to verify the validity of the proposed method and provide the reference value for the future development of distribution network.
Analysis of Distributed Inter-satellite Link Network Coverage Based on STK and Matlab
Authors: Yue Zhang , Yunxin Guo , Jiacai Hong 
Published: August 2019

Abstract
Jointing STK and Matlab to solve the problem of GNSS system inter-satellite measurement and control network coverage. By using the interface provided by both parties, Matlab can directly control STK for task analysis, and obtain professional orbit data and star directly from STK. The distance information is processed and analyzed by Matlab. The preliminary analysis results of the link coverage of distributed inter-satellite link network routings show that the distributed network coverage is low and the satellite antenna resource utilization is low. It is necessary to set optimization conditions to improve network coverage and on-board antenna utilization rate.
An Improved Symbol Timing Synchronization Algorithm in FBMC Systems
Authors: Yang Ruyu , Luo Zhinian 
Published: August 2019

Abstract
A novel symbol timing synchronization algorithm by iterative method is proposed for FBMC / OQAM systems. In the iterative process, different methods are used for rough timing synchronization and fine timing synchronization. Firstly, the ZC (Zadoff-Chu) sequence delay correlation is used to estimate the coarse timing by cross-correlation. After the coarse timing synchronization compensation, the auto-correlation is used to estimate the carrier frequency offset, so that better frequency offset estimation performance can be obtained. Then, the estimated frequency offset is subjected to sequence compensation, and finally, the fine symbol timing synchronization is performed using the compensated sequence. Compared with other algorithms, it can be concluded that the proposed algorithm can obtain high precision of timing accuracy when there is frequency offset in the system.
Research on modeling method of honeycomb plate and its application on solar wing
Authors: Luo Haitao , Fu Jia , Wang Haonan , Li Yuxin 
Published: August 2019

Abstract
Aerospace products need to simulate the complicated working conditions through dynamic simulation analysis to ensure the high reliability of product design. In this paper, the equivalent modeling method of honeycomb sandwich plate based on finite element analysis is studied, and the mechanical characteristic parameters of honeycomb core structure are obtained. At the same time, the composite components of satellite solar cell array are modeled and simulated. The modal analysis and frequency response analysis are carried out to provide an important basis for the design and improvement of the structure.
Evacuation Entropy Path Planning Model Based on Hybrid Ant Colony-Artificial Fish Swarm Algorithms
Authors: Wang Fang , Wang Jian , Chen Xiaowei 
Published: August 2019

Abstract
The artificial fish swarm algorithm is introduced to construct the evacuation entropy path planning model of hybrid ant colony-artificial fish swarm algorithm to improve the convergence speed of the model. In the early stage of the model, the advantage of artificial fish swarm algorithm is used to search the optimal solution quickly and generate the initial solution. In the later stage of the model, the strong positive feedback mechanism of ant colony algorithm is used to quickly iterate out the optimal path. At the same time, the crowding factor of artificial fish swarm algorithm is introduced to update local pheromones adaptively combined with evacuation entropy. The simulation results show that the hybrid ant colony-artificial fish swarm algorithm has fast convergence speed and can avoid falling into local optimum.
Numerical simulation of solitary wave interacting with gasbag-type floating bridge using the ALE method
Authors: Lou Yun-feng , Ma Zhi-qiang , Chen Rong , Jin Xian-long 
Published: August 2019

Abstract
The dynamic numerical modeling theory and wave impact calculation method of gasbag type floating bridge (GTFB) were studied by using the multi-material Arbitrary Lagrangian-Eulerian (ALE) method and penalty function method. The air and seawater were described by the ALE method, the structure of floating bridge was described by the Lagrangian method and the coupling force between floating bridge and flow field was calculated by penalty function method. The floating bridge-fluid coupling models were established by HyperMesh software. Then, the models and calculation parameters were validated. The structural responses of the GTFB under solitary wave impacting were analyzed. The results show that the maximum contact force of hinge and maximum stress of gasbag appeared at the ends of the floating bridge, and the maximum bending moment of hinge appeared in the middle section.
Finite element analysis of the structure of an electronic equipment shelter
Authors: Zhang Qi , Gao Dinghan , Wang Huang 
Published: August 2019

Abstract
Due to the special structure of the shelter, the cost of trial production and experimentation in the design stage is very high. In order to research the static characteristics of the electronic equipment shelter, the structure of the electronic equipment shelter is discussed. The ANSYS finite element analysis software is used to establish the equivalent finite element model of the overall structure of the electronic equipment shelter and the bearing platform. The static simulation of the body structure under specific working conditions is carried out, and the stress and strain state are obtained. At the same time, the modal superposition method is used to analyse the overall transport vibration response spectrum of the electronic equipment shelter and the bearing platform. The results show that the maximum stress value of the electronic equipment shelter is less than the allowable stress, and the maximum deformation is also in full compliance with the requirements. At the same time, it meets the requirements of the transportation vibration environment adaptability of the electronic equipment shelter, and provides design reference for the similar electronic equipment shelter.