bluuebunny/crossref_metadata_2025_split huggingface dataset:
Loop Closure Detection based on Regional Weighted and Siamese Network
Authors: Li Wenju , Ma Qianwen , Cui Liu , Dong Tianzhen 
Published: April 2021

Abstract
Loop closure detection (LCD) is essential for the Simultaneous Localization and Mapping (SLAM) system of an autonomous robot. Aiming at the problem of false positive in traditional loop closure detection methods, in this paper we propose an end-to-end siamese network model. Firstly, the siamese network with two same branches is designed to learn the characteristics of each image pairs. Secondly, the multi-region feature weighting method is introduced to fuse saliency regions of convolutional feature map, which well reflect structured information of the environment. In the end, the geometric consistency verification is used on the candidate convolution feature map to determine the true loop. As a result, experiments on several public datasets have illustrated the superiority of our approach. Compared with traditional methods, under the precision of 100% accuracy, the recall rate is increased by 15%. Our model is more stable in different scenarios, which can achieve robustness loop closure detection.
Research on virtual scene design Based on 3D vision
Authors: Ziyan Zhang 
Published: April 2021

Abstract
In order to meet the design realism and high efficiency requirements of product display scenes, C4D is used to complete 3D virtual scene modeling and virtual design. Use C4D software to make a three-dimensional model of the scene, first make part of the sub-model of the display area, increase the realistic effect of the scene design through material editing and adding textures (UV, normal, Alpha, etc.), combine multiple sub-models for appropriate layout and adjustment acquisition Complete three-dimensional scene model; after completing the three-dimensional virtual scene modeling, in the rendering of the stage environment, add effects through regional lighting and environmental scenes to realize the three-dimensional scene design. Experiments show that the fidelity of 3D virtual scene design is higher than that of similar methods, and the 3D modeling performance is outstanding. This method is suitable for 3D virtual scene design and special effect scene production. The modeling method in 3D virtual scene design is proposed, which takes virtual character painting and 3D model design as the core to complete character painting and modeling, and realize the interaction and display with users.
Research on Multi-objective Optimization Model of the Planting Structure Based on TOPSIS
Authors: Ye Mao , Wang Lu , Zhang Huapeng 
Published: April 2021

Abstract
The problem of planting structure optimization is a multi-objective optimization decision problem. To solve this problem, this paper proposed a bi-level multi-objective optimization model of planting structure based on TOPSIS to optimize the agricultural planting structure. The optimal planting structure could be obtained by integrating the decision from both the upper-level and lower-level in the study area. The upper-level DM maximum total planting income with the minimum of total irrigation water could be obtained and the lower-level DMs maximum planting income with the minimum planting cost in sub-region. Finally, the constructed model was applied to optimize ternary planting structure of “food, cash and feed” in a part of the “Bohai Granary” of Science and Technology Demonstration Areas in Shandong Province in China. The optimal results of planting structure were obtained, and the comparison between the optimal results and the actual results was also made. It shows that the optimized planting structure has a better performance in terms of the increase in total planting income and the decrease in total irrigation water.
Control strategy of hybrid energy storage system based on virtual DC generator to suppress DC bus voltage fluctuation
Authors: Yang Haitao , Yin Zhiyong , Shao Tianzhang 
Published: April 2021

Abstract
In order to eliminate the impact of sudden changes in light intensity and load on the DC microgrid system, based on the analysis of the principles and advantages of the virtual DC generator (VDG), the application of the virtual DC generator to the battery of the hybrid energy storage system is adopted. In the control strategy, it improve the ability of the hybrid energy storage system to suppress DC bus fluctuations. The Matlab/Simulink simulation results show that when the light intensity and load change suddenly, the DC microgrid bus voltage fluctuation amplitude of the virtual motor droop control is 6.1V, 39V, which is significantly smaller than the conventional droop control DC bus voltage fluctuation amplitude 8.7 V, 50.6V. The simulation results show that the control strategy proposed in this paper can improve the ability of the hybrid energy storage system to suppress DC microgrid bus voltage fluctuations.
Retrospective motion correction for Fast Spin Echo based on conditional GAN with entropy loss
Authors: Chen Yalei , Li Pingan , Liu Kewen , Bao Qingjia , Li Zhao , Li Xiaojun 
Published: April 2021

Abstract
We proposed a new end-to-end motion correction method based on conditional generative adversarial network (GAN) and minimum entropy of MRI images for Fast Spin Echo (FSE) sequence. The network contains an encoder-decoder generator to generate the motion-corrected images and a PatchGAN discriminator to classify an image as either real (motion-free) or fake(motion-corrected). Moreover, the image’s entropy is set as one loss item in the cGAN’s loss as the entropy increases monotonically with the motion amplitude, indicating that entropy is a good criterion for motion. The results show that the proposed method can effectively reduce the artifacts and obtain high-quality motion-corrected images from the motion-affected images in both pre-clinical and clinical datasets.
Disturbance-Observer-Based Sliding-Mode Attitude Control of Rotation-Isolating Rudder with Ultrasonic Motor
Authors: Zhang Shihao , Ding Libo , Wang Chen 
Published: April 2021

Abstract
Rotation-isolating rudder is a type of correction mechanism widely used in two-dimensional trajectory correction projectile. In this paper, we focus on its attitude servo system, develop a disturbance-observer-based sliding-mode control method, and prove the asymptotic stability of the control method. Based on the single-axis turntable established, we test the rolling attitude control performance of the rotation-isolating rudder, and the experimental result shows the effectiveness of the control method developed.
Research on the Application of Children’s Reading Analysis Based on Artificial Intelligence——Take Small “raccoon Reading” and “Jiao Jiao Reading” as examples
Authors: Nini Huang , Kong Dehua 
Published: April 2021

Abstract
Artificial intelligence technology is widely used in the field of education, and the development of children’s Chinese reading field is increasingly mature. Using the boundary awareness of AI algorithm for reference, the Chinese reading class should also awaken the boundary awareness of Chinese subject. In the AI algorithm, only the annotated data are valid data. The reading text can become effective learning materials through natural language processing only when it is “annotated” out of ability points. Through machine learning, AI constantly generates self-learning data sets based on trial-and-error feedback. The feedback mechanism, trial-and-error opportunity and Chinese teaching design are transformed into each other to build student portrait and specifically improve students’ independent Chinese learning ability. This article analyzes the application of artificial intelligence technology in the development of children’s Chinese reading services by taking the examples of [[CHECK_DOUBLEQUOT_ENT]] Small raccoon Reading” and “Jiao Jiao Reading.
Research on personalized recommendation method based on social impact theory
Authors: Cheng Huang , Gan Baiqiang , Zhang Chi 
Published: April 2021

Abstract
With the rapid development of computer technology, the personalized needs of users become more and more prominent. The complexity of online learning resources and social networks lead to sparse data sets and low recommendation efficiency. In this paper, the existing collaborative filtering recommendation algorithm does not distinguish the degree of user’s trust when integrating the social impact theory. Therefore, in order to establish more accurate characteristics of user’s social interaction, this paper integrates the trust mechanism in the social impact theory, brings the establishment, dissemination and socialization factors of trust into the research scope, and introduces them into personalized recommendation in the recommendation process of recommendation model, it is used to solve the problem of low recommendation effect and low quality of recommendation system on sparse data set. Experimental results show that the proposed personalized recommendation method can improve the recommendation effect and quality on sparse data sets.
Research on Integrated Safety Assessment in the Process of Electric Vehicle Charging
Authors: Duan Haowei , Gao Hui , Liang Huamin , Li Huailiang , Zhou Damou 
Published: April 2021

Abstract
With the increasing number of electric vehicles, the problem of charging reliability and safety has become the focus of foreign scholars and industry. By analyzing the charging safety characteristics of power battery, charge and discharge equipment and power supply equipment of electric vehicles, the safety mechanism of integrated electric vehicles is established in this paper. Based on the research of integrated safety warning and control, the integrated online warning module and intelligent protection module of electric vehicle charging are constructed. Based on the failure statistics of the integrated safety early warning system and combined with the integrated safety assessment index system of EV charging process, the regional EV charging safety can be assessed, so as to promote the healthy development of EV charging.
Study on Routing Optimization of Fresh Meat Joint Distribution System
Authors: He Kailun , Yang Chunmeng 
Published: April 2021

Abstract
The path optimization problem of fresh meat joint distribution system is a multi-center distribution problem.Based on the shortest distance principle,the service scope and customer group of each distribution center can be determined to convert the multi-center optimization problem into several single-center optimization problems,and the joint distribution scheme can be obtained with genetic algorithm.Taking a fresh meat distribution system in the core area of Chongqing City as an example,this paper compares and analyzes the operation status of the system before and after the implementation of joint distribution.The case analysis shows that carrying out the mode of joint distribution can significantly improve the efficiency of fresh meat distribution.
Finite-time Stabilization of Switched Positive Systems with Time-varying Delays and Actuator Saturation
Authors: Wang Xuefei , Wen Jiwei 
Published: April 2021

Abstract
In this paper, the finite-time stabilization for a class of switched positive systems with time-varying delays and actuator saturation under average dwell time switching is investigated. Through multiple copositive Lyapunov-Krasovskii functionals method, the sufficient conditions for finite-time bounded of continuous-time case are given, and the appropriate switching rules and state feedback controllers are presented together. Moreover, the convex hull technique is employed to deal with actuator saturation. Finally, an illustrative example is given to show the effectiveness of the proposed method.
Development of an Intelligent Control System for Spacecraft Vacuum Thermal Test
Authors: Zhang Jun , Lu Tong , Ye Tianyuan , Li Fangyong , Zhang Yusen , Liu Xusheng 
Published: April 2021

Abstract
This article develops a spacecraft component-level vacuum thermal test intelligent control system, which can control the thermal vacuum chamber to automatically complete the entire test process including establishing a vacuum environment, setting temperature control parameters, switching test conditions, and executing shutdown procedures. It is the first to complete the one-key boot function in similar domestic laboratories. This system combines thermostat, parameter identification and self-tuning control technology to complete the temperature control of the test piece. It solves the technical problems of complex thermal characteristics of test piece, large time delay, and overshoot in temperature control. The system also has the function of automatic conversion of test condition and provides a guarantee for the smooth development of the vacuum thermal test of the spacecraft and its components.
Hardware design of PMSM control system based on DSP
Authors: Shi JiTe , Gu HuiHui , Ge Lixin 
Published: April 2021

Abstract
Compared with traditional motor, permanent magnet synchronous motor has the characteristics of strong anti-interference ability, high starting torque and power density, and good speed regulation performance.Permanent magnet synchronous motor servo system has become a research hotspot in the field of servo drive.In this paper, with DSP28335 as the main control chip to give a permanent magnet synchronous motor AC servo control hardware system design scheme, the paper introduces in detail the system core control circuit, main power circuit, detection circuit design and the choice of main components.The hardware system designed has been applied to engineering practice, and has achieved good control effect.
Research on the system and mechanism of investigation and treatment of port accidents
Authors: Geng Jiezhe , Hu Yuchang 
Published: April 2021

Abstract
Based on the analysis of the current situation of investigation and treatment of port accidents, this paper puts forward some suggestions, such as improving relevant laws and regulations, establishing an independent third-party investigation organization and consultation mechanism, and formulating investigation procedures, so as to promote the modernization of port accident investigation and management system and capacity.
Based on the single-layer contour pattern, the comparison of the zigzag parallel hatch and the contour parallel hatch
Authors: Zhao Jiali 
Published: April 2021

Abstract
Laser marking refers to marking on the surface of a product with a laser mark, text, symbol, image, etc. The hatch tool of laser marking machine can be used to hatch specified 2D-compound curve graph. The direction parallel hatch and the contour parallel hatch are two basic ways of hatching. Under the single-layer contour pattern, for the zigzag parallel hatch, we established an improved area Parity Check Filling Model. For the contour parallel hatch, we established an equidistant line generation model based on the Regular Bezier curve, and used the De Casteljau algorithm to generate equidistant lines with the given hatching line spacing. By running the relevant programs, we get the total length of hatch curves and the average elapsed time of the two hatch algorithms. According to the analysis of the result, the performance of the zigzag parallel hatch algorithm is higher than that of the contour parallel hatch algorithm.
Research on the design factors of H-shaped women’s trousers based on eye-tracking technology
Authors: Chen Jun Jun , Li Yue , Wang Xiao Gang 
Published: April 2021

Abstract
In order to accurately study the silhouette of clothing, this paper adopts eye- tracking technology to conduct in-depth analysis on the influencing factors of the silhouette of H-shaped women’s trousers, obtain the tracking data of eye movement controlling the silhouette, and finally obtain the pattern-making variables controlling the H-shaped women’s trousers through statistical analysis. By eye-tracking experiments, we used image recognition technology to record experimental data, dividing the interest area of H-shaped women’s trousers, analyzing the eye movement indicators such as the total fixation duration, visit count in the interest area, and using SPSS software to perform multi-factor of variance and mean value analysis.Finally the key parts that affect the shape of H-type trousers are determind, which has high accuracy and practicality. The research adopts scientific and rigorous methods, which is the basis for the preliminary research of intelligent pattern-making and profile control.
Research on Automatic Control System of MR Damper Based on Neural Network Algorithm
Authors: Gan Yunhan , Zhong Yi 
Published: April 2021

Abstract
The use of MR dampers can achieve the absorption of harmful vibrations such as seismic waves that affect the structure of the building itself. The current control of the MR damper generally uses a pulse width modulation system to control the current input to the MR damper, thereby controlling the MR damper. But this is a semi-automatic control method, and the error is relatively large. This article introduces an MR damper control system that introduces a neural network algorithm. The system uses a half-bridge drive circuit for output current control in the circuit part and uses the Shen BP network algorithm for numerical prediction and fitting. The experimental research and tests conducted in the project show that the use of this fuzzy algorithm can make the MR damper achieve good damping effects under different conditions, and can well improve the original semi-automatic control method.
Control of Naval Gun Loading Device Based on Fuzzy Sliding Mode Controller
Authors: Wu Zimeng , Xun Panpan , Su Han 
Published: April 2021

Abstract
A fuzzy sliding mode controller was designed to solve uncertainty problems such as nonlinear sea wave disturbance and parameter time variant in the working process of a naval gun loading device. On the basis of building a system dynamics model for this device, the universal approximation property of the fuzzy system was used to realize the adaptive approximation of control parameters, and the Lyapunov analytical method was used to export the fuzzy adaptive laws to prove the stability of this method. Simulation results show that the comprehensive control performance of this control strategy is superior to the control effect of PID method. Specifically, it is able to remain the system with a stability performance under sea wave disturbance and parameter variant, and provides strong capabilities of resisting disturbance and tracking positions.
Application Analysis of E-Commerce Web Design based on Cinema 4D Technology
Authors: Zhang Ziyan , Yang Zhe 
Published: April 2021

Abstract
Due to the limitations of software technology, traditional web design cannot fully realize the construction of three-dimensional graphics of complex real scenes, and cannot meet the needs of users’ visual reality experience. In order to further improve the design efficiency, present the real space scene design, and shorten the distance between the design and the user, it is proposed to build a three-dimensional model based on Cinema4d software, and use the material that comes with C4D to give the model texture maps, rendering from the perspective of light color and light type light. Then it integrates the advantages of Photoshop’s color and synthesis technology, design Taobao shop display effect, and study its application effect through actual case design. Example design effect shows that the layout of the scene in the design renderings is reasonable, the visualization effect is excellent; the lighting is realistic, the light and shadow change significantly, and the details are handled well.
Research on Auto-focusing Method Based on Pulse Coupled Neural Network
Authors: Chen Taoyu , Wang Huawei , Cao Jianzhong 
Published: April 2021

Abstract
The key to automatic focusing method based on image processing is to construct a fast and accurate focus quality evaluation function. The method in this article introduces Pulse Coupled Neural Network processing. Using the characteristics of the network, through the enhanced image, the grayscale sum can be conveniently used to characterize clarity, thereby simplifying calculations and enhancing the real-time performance of focus control.
Monocular gray code 3D shape measurement based on improved Siamese Network
Authors: Li Yangming , Piao Yan , Liu Yuheng 
Published: April 2021

Abstract
As 3D information is widely used in more and more industries, simplification of 3D measurement operations and higher accuracy of measurement results are important development directions in the future. Compared with the binocular measurement system, simple equipment and convenient operation are the advantages of the monocular measurement; the disadvantage is that the measurement accuracy is low and it is greatly affected by the environment. This paper proposes a method that combines deep learning with traditional monocular Gray code 3D shape measurement technology. The space transformation network is used to improve the Siamese Network, and the single-view photos are taken through spatial transformation to obtain dual-view photos, and then matched through the Siamese Network. The purpose is to use monocular measurement equipment and methods to obtain the effect of binocular measurement. The deep learning network in this article has been pre-trained with a self-made data set before use. Compared with the original method, this method has higher accuracy in plane measurement, and has a significant improvement in depth measurement, successfully reducing the depth measurement error to less than 0.1mm.
Analysis of financial product purchases based on logistic regression
Authors: Wang Yuzhen , Qin Jingqiao 
Published: April 2021

Abstract
In order to analyse the different characteristics of different users in the purchase of financial products and improve the accuracy of the identification of potential customers, this paper uses the logistic regression method to mine the data of customer historical transaction based on comparing the performance indexes of various classification methods. By analyzing the internal relationship between product consultants’ communication with customers, personal loans and deposits, and the number of on-site exchanges, we can find potential customers and make accurate predictions on customer purchasing behaviors to help wealth management companies better tap new customers.
Literature Review on Block Chain: Technology, Principle and Development
Authors: He Wang , Zheng Hu 
Published: April 2021

Abstract
The block chain technology enjoys a promising development prospect. As one of the most popular technologies, block chain has been heatedly studied and researched by people from all walks of life. Based on an introduction to the technical background and basic concepts of block chain, by analyzing the technical architecture and working principle of block chain, this paper systematically explains the key technologies of block chain, namely decentralization, proof of work (POW), smart contract and Ethereum, and further discusses the development of the block chain technology, 5G, the Internet of Things and the future wireless network.
Research on Human Action Recognition in Dance Video Images
Authors: He Hua 
Published: April 2021

Abstract
This article mainly researches the recognition technology of dance video in human movement. Image preprocessing, codebook establishment, Zernike moments and support vector machines are used to classify and recognize human movements in dance videos. From the results of simulation experiments, using the recognition method proposed in this paper to recognize dance movements in dance videos in the database can effectively improve the recognition rate of human movements, and then better guide dancers’ dance movements.