bluuebunny/crossref_metadata_2025_split huggingface dataset:
Research on UAV target detection and substation equipment status recognition technology based on computer vision
Authors: Yi Liu , Xin Yuchen , Chen Zuodong , Lin Jianwei , Liu Xiaowei 
Published: December 2022

Abstract
The use of computer vision-related technologies can more efficiently achieve target detection of UAVs and accurately identify the status of substation equipment. Therefore, this paper proposes research on UAV target detection and substation equipment status recognition technology based on computer vision. Taking key technical links such as image preprocessing based on computer vision technology, image feature extraction, and construction of UAV target detection coordinate system as breakthrough points, realizing UAV target detection work lays a solid foundation for the identification of substation equipment status. It lays the foundation and promotes the scientific and effective identification of the status of substation equipment. It provides a guarantee for improving the accuracy of UAV target detection and promoting the efficient and stable identification of substation equipment status.

CLC number: TN919.8 Document identification code: A.
Human Pose Estimation: Multi-stage Network Based on HRNet
Authors: Ji Xiaodong , Yang Qiaoning , Yang Xiuhui , Zheng Jiahao , Gong Mengyan 
Published: December 2022

Abstract
Multi-stage network uses stacked networks to enhance the feature extraction capability, and can gradually refine the keypoints with the information of previous stages’ output. Obviously, multi-stage networks are more suitable for human pose estimation. However, most current multi-stage networks use a codec structure as the backbone in which downsample will cause information loss. HRNet maintains high-resolution features to supply the information which is lost in down-sampling stage. In this regard, we propose a novel two-stage network with HRNet as the backbone and stacked codec structure. HRNet has more efficient feature extraction capability, and the stacked codec network can utilize the multi-scale features generated by HRNet more effectively. This method obtains a 1.2AP improvement compared to HRNet and a significant improvement compared to other two-stage networks.
APIGAN: Learning to Recommend Java API in Real-Time Using Generative Adversarial Networks
Authors: Zhang Qinhe , Zhang Jiachen , Feng Tie , Xue Jialang , Huang Pengyu 
Published: December 2022

Abstract
In order to improve the accuracy of API recommendations, this paper proposes a novel API recommendation approach of APIGAN fully leveraging structural and textual information based on Generative Adversarial Networks, in which a Long Short-Term Memory (LSTM) is used as a generator while a Convolutional Neural Network (CNN) is used as a discriminator. The structural and semantic information of a source code extracted from an abstract syntax tree is used to construct a program dependence graph (PDG) which is also the input of the generator and the discriminator. By evaluating the difference in outputs of them, LSTM is evolved gradually till an optimized program dependence network is obtained to recommend top-k APIs. The results of the experiments show that APIGAN outperforms state-of-the-art research such as APIREC, GraLan, and n-gram in the aspect of top-k accuracy.
Encrypted Traffic Classification Based on a Convolutional Neural Network
Authors: Ma Zhuhong , Li Kunyang , Li Zongyu , Yao Liu 
Published: December 2022

Abstract
To resolve the issues of low accuracy, weak universality, and easy invasion of privacy in traditional encryption traffic classification methods, an encryption traffic classification method based on a convolutional neural network is offered. Firstly, according to the packet size and time message of the net traffic, the original traffic is transformed into a two-dimensional picture to avoid relying on the packet payload to violate privacy, and then the model is embedded. The Inception module performs feature fusion to improve the classification accuracy. Finally, the average pooling layer and the convolution layer are used to replace the fully connected layer, increasing the calculation speed and avoiding overfitting. Experimental results show that the algorithm achieves an accuracy of more than 95% for application traffic classification tasks.
Fault diagnosis of Rolling Bearing Based on One-dimensional Residual Convolution Recurrent Neural Network
Authors: Zhao Yao , Zhong Zhidan , Zhang Haobo , Zhang ZhiHui , Yang AoYu 
Published: December 2022

Abstract
To resolve the issue that conventional rolling bearing fault diagnosis technology are incapable of extracting features adaptively, a one-dimensional residual convolutional recurrent neural network (1DRCRNN-LSTM) is proposed to obtain signal characteristics directly from the original signal. Firstly, a train-valid-test paradigm dataset with sample overlap is created by data augmentation and one-hot coding. Secondly, a convolutional neural network (CNN) and a long short-term memory neural network (LSTM) are fused and a residual learning mechanism is introduced to build a network model for the extraction of signal characteristics. Finally, a softmax classification layer is implemented to classify ten types of faults and output diagnostic results. The proposed network model is verified using the Case Western Reserve University (CWRU) Rolling Bearing Dataset and the results show that the 1DRCRNN-LSTM model has a fault diagnosis accuracy of 0.987, which is better than that of multilayer perceptron (MLP) and convolutional neural network and other methods. Meanwhile, through t-sne visualization techniques, it is proved that this method has superior feature extraction and fault diagnosis capabilities.
Research on Ensemble Convolutional Neural Networks in Digital Image Course experiments
Authors: Zhang Jiawei , Liu Huan , Ge Junwei , Mei Hao , Yan Xiaojun , Cao Yifan , Luo Yaoyao 
Published: December 2022

Abstract
In various digital image processing courses, the accuracy of traditional expression recognition algorithms cannot meet practical needs. This paper studies facial expression recognition using a convolutional neural network and ensemble learning. We develop three subnetwork models based on the classical convolutional neural network, using the BN layer to increase the network convergence rate and regularization is used to prevent subnetwork overfitting. The optimization idea used in this paper is applicable to most experimental improvements and raises the standard of the experiments.
Robust Map Merging Method for Collaborative LiDAR-based SLAM Using GPS Sensor
Authors: Wu Jianbin , Wang Jiaqin , Wei Changyun 
Published: December 2022

Abstract
Typical lidar-based mappings need to cover the entire environment alone, which often leads to long build cycles and large computational resource requirements. Collaborative simultaneous localization and mapping have been applied to explore large and complex scenarios. However, merging local maps from multiple robots remains a challenge. It is crucial for Collaborative SLAM to identify overlapping areas and obtain the transformation matrix for map merging. To this end, this paper proposes a map merging method for collaborative lidar-based SLAM based on GPS measurements and improved Iterative Closest Point (ICP). We add a GPS sensor to the traditional robot configuration and use a simplified model to convert latitude and longitude data into plane coordinate data. According to Euclidean geometry, we determine the overlapping regions scanned by robots and calculate the initial pose transformation matrix between different robots. Based on the traditional ICP algorithm, KD-tree and normal vectors are used to register point clouds in overlapping regions accurately. The transformation matrix obtained by precise registration is used to rotate and translate the source local point cloud, so as to obtain the global point cloud map. In the real-world experiment, the initial transformation matrix is successfully obtained based on GPS measurements, which provides a good initial pose for the ICP algorithm. Compared with the ICP algorithm, the time consumption and RMSE of the improved ICP algorithm are reduced by 26.3% and 7.94%, respectively. Experimental results demonstrate that the proposed method can achieve accurate and efficient map fusion for multi-robot collaborative SLAM.
Research on a Real-time Job-shop Scheduling Method Based on Reinforcement Learning
Authors: Zhu Haihua , Gui Yong , Xu Hui , Tao Shuai , Zheng Kun 
Published: December 2022

Abstract
At present, manufacturing models are characterized by multi-variety, small batch, and diversification. It is insufficient to use traditional scheduling methods for production management with high performance. A real-time production scheduling system based on reinforcement learning (RL) is suggested in an effort to address the aforementioned issues. A brand-new manufacturing neural network is created to learn the state-action values for production scheduling in real time using high-dimensional data as the input. The detailed setup of network inputs, neural network, action, and reward are also designed. Then, a policy-based reinforcement learning algorithm is proposed to achieve the optimum objective. Finally, By contrasting the proposed scheduling strategy with rule-based approaches in a smart manufacturing environment, its efficacy is demonstrated. according to experimental data, the suggested algorithm can successfully improve performance in the dynamic job-shop environment.
Mechanism design of elbow joint rehabilitation robot
Authors: Mao Kefu , Pei Fengque , Yuan Minghai , Zheng Liang 
Published: December 2022

Abstract
Aiming at the problems of low mechanism precision, large motion inertia, and ease of secondary patient damage in the elbow joint rehabilitation robot, an exoskeleton parallel robot that can realize two degrees of freedom (2-PRR-S) motion of the elbow joint is designed. First, use Solidworks to complete the design and modeling of each component, and use ANSYS to perform finite element analysis on some important components to check the strength of the components. Finally, Adams is used to performing kinematic analysis in order to verify the kinematic properties of the forearm support, and the check analysis of the whole mechanism’s kinematic properties is completed. The simulation results show that the designed elbow joint rehabilitation robot meets the design requirements.
Design of a small material handling robot gripping and storage system
Authors: Liu Zhuoran , Li Chunxu , Wang Li , Li Shaoxiang 
Published: December 2022

Abstract
This paper completed the development status and working principle of the handling robot, analyzed the performance index parameters and system functional requirements of the robot, and proposed an overall design scheme of the handling robot control system. The mechanical structure design of the handling robot was developed, and the selection of the core components of the system was studied and designed in detail based on theoretical analysis and calculation. Secondly, this paper selected the STM32 microcontroller as the core of the handling robot. It completed the circuit schematic diagram of the systems, and investigated the selection of core sensors for the navigation and positioning module, obstacle avoidance module, and wireless communication module. Finally, this paper studied the automatic control part of the handling robot, which mainly included the modeling of the robot’s manipulator, PID control, and MATLAB simulation verification. In addition, the application prospect of the handling robot was explored. It had the advantages of high efficiency, strong practicability, and perfect function, and had certain practical significance in the application of the logistics industry.
Modular-based test system for proportional valves
Authors: Xu Dingan , Xing Keli , Jin Xiajie 
Published: December 2022

Abstract
Based on the dynamic and static test performance requirements of a company for proportional valves, a hydraulic schematic and electrical control system for a proportional valve test bench was designed, on the basis of which a LabVIEW-based proportional valve test system was developed. The test and control software is based on a modular design, which allows the required functions to be handled in a modular way, greatly reducing the development cycle of the test software and facilitating later improvements and maintenance. The test results show that the test bench has high accuracy and stable performance, and can provide a reliable test basis and test means for the development and online inspection of proportional valves.
Design and Verification of a Penetration System Used for Constructing the Sampling Channel
Authors: Ma Ruqi , Ma Rulin , Sun Kang , Chao Ma , Jiang Shuiqing 
Published: December 2022

Abstract
Based on the analysis of the water ice sampling system design at the lunar permanent shadow region(PSR), a rapid sampling channel construction method based on kinetic energy penetration was proposed, and an engineering prototype of the penetrator system based on the conversion of chemical energy and kinetic energy was developed, which can solve the problem that the subsurface lunar water ice is too difficult to sample quickly due to its significantly enhanced mechanical properties. Based on the mechanical properties boundary of lunar soil water ice, the performance of the engineering prototype was tested and verified. The test results show that the penetrating system developed in this paper can achieve rapid penetration into the lunar soil with uniaxial compressive strength of about 30MPa without consuming power consumption; the penetrating depth can reach 234mm, and the penetrating time is less than 1s. The penetrating system can rapidly construct sampling channels, which can effectively solve the problem of the high-hardness water ice samples located at the subsurface layer of the lunar soil that can be efficiently exposed faced by in-situ water ice sampling in the permanent shadow region.
Buckling and Post-buckling Characteristics of Stiffened Panels Under Compression-Shear Load
Authors: Chen Limin , Zhuo Yi , Xu Rongzhang , Wang Houbing 
Published: December 2022

Abstract
Experiments have been conducted to investigate the buckling and post-buckling behavior of a T-the stiffened composite panel in size of 2412 by 1420mm under a compression-shear load. DIC was used to monitor the local buckling and post-buckling, and the results were compared with that of strain gauges. The results show that DIC can accurately capture the displacement field and the whole progress of the buckling mode transition, and the buckling modes at different times are clearly and intuitively, the error of the initial buckling load is less than 5% compared with the load measured by the strain gauge. Four different buckling determination methods based on strain gauge measurement and DIC measurement are presented, and a more accurate and convenient method for judging buckling load is obtained. The initial principal strain angle is related to the ratio of shear stress to compressive stress and changes greatly after the buckling, and the fracture angle approaches 45 degrees. The experimental results show that the hole with 6mm in the weighted middle of the web has a slight effect on the buckling load but has an obvious effect on the load capacity.
Analysis of Wet Modal Vibration of Shell Structure
Authors: Li Panfei 
Published: December 2022

Abstract
Modal analysis is very important for structural dynamics research. However, the simulation results have certain limitations and cannot be fully applied to engineering applications.Using LMS (LMS Test.lab) data analysis equipment, modal experiments were carried out on the pressure shell in air and water respectively. The natural frequency and damping ratio of each order mode of the pressure shell are calculated using the polyMAX(poly referene least square complex frequencydomain) algorithm. Comparing with the simulated data, the difference between the experimental state and the simulated state is obtained, and the variation rules of the underwater modal vibration frequency and damping ratio changing with the water depth are obtained. According to this conclusion, an effective reference for the simulation method is put forward.
Wear analysis of elevator brake shoe
Authors: Ren Facai 
Published: December 2022

Abstract
The brake is the key equipment to ensure the safe operation of the elevator. Failure of the elevator brake will lead to a slide accident. This paper takes the elevator brake shoe, which has been used for more than 15 years, as the research object, and systematically analyzes its wear characteristics. The research results show that most of the brake shoes have obvious scratches, and some of them even have cracks. Therefore, in the daily maintenance of the elevator, pay special attention to the wear state of the brake shoe to ensure the safe operation of the elevator brake.
GPF Design Based on Sierpinski Triangle
Authors: Zhang Jian , Chen Wenhao , Liu Xiaoying , Liu Jiaoyan 
Published: December 2022

Abstract
In order to adapt to strict emission regulations and reduce particulate emissions from gasoline engines, continuous research on GPF is needed to improve particulate capture efficiency. The structure and working principle of gasoline engine particle catchers are studied. A new type of GPF is designed based on the Sierpinski triangle structure. The GPF shell is designed according to the structure of the filter body, and the flow guide plate is designed to make the gas flow rate uniform. The model and accessories of the filter body are modeled in Solid Works. Based on the repeated characteristics of the filter body structure, a unit body is extracted to simplify the analysis. The simulation was performed using the filter unit. The flow rate of exhaust gas between the new filter structure and the traditional filter body was compared in addition to the pressure of the filter body and the trapping effect of small molecular particles in the exhaust gas. Through analysis and comparison, it can be concluded that the new GPF filter structure has better trapping efficiency than the traditional filter structure.
Smart driving of a bilayered composite tape-spring structure
Authors: Lin Xueqi , Wang Bing , Zhong Shuncong , Chen Hui , Liu Dianzi 
Published: December 2022

Abstract
Composite tape-springs (CTS) structure has been applied to spatial developable structures due to its bistability. There is growing interest in smart driving of the CTS-based structures because of the limitations on the working environment. Here, we propose a detailed analysis of the smart driving of the CTS structure. This is achieved by using smart materials to develop a bilayered CTS intelligent structure: the smart material forms the active layer to generate stress/strain to drive the structure; the CTS layer acts as a passive layer where its intrinsic bistability, designability further enriches the diversity of intelligent morphing structures. A theoretical analytical model is developed to anticipate the bistability; the stability criteria are then determined to guide the intelligent morphing design. These will facilitate the future smart driving design of aerospace deployable structures.
Modeling and Simulation of Combined Bending-torsion Experiment Based on ABAQUS
Authors: Li Xiaozhan , Wang Shang , Liang Meiqin 
Published: December 2022

Abstract
Hollow shaft is widely used in aviation, vehicle, construction, electrician, and other fields. Bending-torsional resistance is one of the most important mechanical properties of the hollow shaft. The traditional test has a long testing time, high cost, and strict requirements on the sample size. In addition, it is difficult to measure the stress in special areas, such as the inner diameter of the hole and narrow gaps, because the strain gauge has a certain size. To solve this problem, a three-dimensional finite element model was established to study the bending-torsional resistance of the hollow shaft. The color stress nephograms and rich data are obtained by simulation. The results showed that Mises stress of the hollow shaft increased with the indenter pressure. However, this increase is slowing down. The maximum Mises stress of the shaft reached 497.6 MPa when the pressure was 40 kN. The maximum Mises stress occurred at the position where the shaft contacted the base. Using simulation techniques to study the bending and twisting resistance of the hollow shaft is feasible.
Research on Water System Inline Heater Heating Performance Simulation of Civil Aircraft
Authors: Zhu Chong 
Published: December 2022

Abstract
The water system in civil aircraft is indispensable and important. During the design of the water system, cold weather is a severe working condition, which will cause the water system to freeze and lose water supply function, so the heating and anti-freezing design of the water system is necessary. An inline heater is a new heating and anti-freezing equipment for water system pipelines, with the advantage of convenient installation and high heating efficiency. In this paper, the fluid-solid coupling heat transfer simulation is used to study the heating and anti-freezing effect of the inline heater, considering the influence of the water flow rate and the heater power. Through analysis, increasing the water flow rate can improve the heating efficiency of the inline heater, but it also puts forward a higher heater requirement for the inline heater. With the increase of the heating power of the inline heater, its heat utilization rate is constantly decreasing, so blindly increasing the heating power can not significantly improve the heating and anti-freezing performance. This study can guide the water system inline heater design of civil aircraft.
Design of Electric Power System for Xinhangcheng Station on Intercity Railway Connecting Line
Authors: Yu Guo 
Published: December 2022

Abstract
At present, the intercity railway station is getting bigger and bigger, represented by the Intercity Railway Xinhangcheng Station. Xinhangcheng Station of the Intercity Railway Link Line is a key station for the national railway underground passenger transport, the scale of the building is larger than that of ordinary subway stations, with a total of 6 floors, including communication, signal, information, escalator, screen door and other equipment. The layout and design of ventilation, water supply, and fire-fighting equipment are more complicated than subways. The station also includes areas related to station support and integrated development, therefore, new requirements are put forward for the design of the station power system. Therefore, it is very important to study a reasonable and feasible power design scheme. In this paper, to meet the needs of the intercity railway tie line underground station building, station supporting and integrated development of electricity consumption and electricity consumption independent of each other, a 10KV/0.4KV substation is set up on the ground floor and on the second floor of the station building to supply power to the station, a 10KV/0.4KV substation is set up on the east and west sides of the supporting area to supply power to the municipal supporting area, and integrated development of a 10KV/0.4KV substation is set up to supply power for integrated commercial development, meeting the needs of all parties.