bluuebunny/crossref_metadata_2025_split huggingface dataset:
Vision Positioning method for Autonomous Precise Landing of UAV Based on Square Landing Mark
Authors: Chen Jiaju , Wang Rui , Wang Rumo 
Published: November 2020

Abstract
Rotor-craft is a kind of VTOL UAV and is widely used in multiple fields. Among relative researches, vision guided autonomous landing of rotor-craft has been a hot spot, where vision positioning is the most crucial. The core of the algorithm is to calculate the position and attitude information according to the change of the visual image of the same object at different time or frame. Based on the real-time self calibration technology of airborne monocular vision, this paper puts forward a method that takes the designed landing mark composed of black and white squares as the cooperative target, solving the relative pose of camera and cooperative target to carry out the landing positioning of UAV, and realizes the full-automatic sub-pixel precision linear edge detection to ensure the accuracy of visual positioning. A series of simulation experiments show that for 768 * 576 pixel image, when the camera is about 12m away from the target and the noise deviation reaches 3 pixels, the total time of edge extraction and calibration is 0.511s, and the position and attitude estimation are still satisfactory, which shows that the proposed algorithm can effectively realize the autonomous landing of UAV.
Research on Image Feature Point Matching Based on ORB and RANSAC Algorithm
Authors: Zhang Hua , Zheng Guoxun , Fu Haohai 
Published: November 2020

Abstract
Image matching is one of the basic problems in the field of machine vision research. In order to improve the accuracy of image feature point matching and enhance the anti-interference ability of the algorithm, for the shortcomings of traditional ORB algorithm, an image feature point matching algorithm based on ORB and RANSAC algorithm is proposed. The algorithm can filter out false matches on the basis of coarse matching results, and filter out exact matching points through the homography matrix. Experiments show that this method can effectively improve the accuracy of image matching and shorten the execution time, and it is very robust to image matching with different scales, ambiguities, brightness and rotation.
Travel time prediction of urban road based on BP neural network
Authors: Deng Fangyi , Su Pei , Luo Bingxue , Wu Peng , Guo Yan 
Published: November 2020

Abstract
In view of the diversity and complexity of the existing travel time prediction methods, travel time is an important indicator to quantify the state of road traffic congestion. In this paper, based on the analysis of various travel time prediction methods, a network model based on the idea of BP algorithm is constructed by SPSS software, and the method of travel time prediction of urban road is studied by combining BP neural network with three indexes affecting vehicle speed. Firstly, taking Jinshui road of Zhengzhou as the research object, this paper obtains the data of three factors that affect the vehicle speed, namely, vehicle spacing, flow and density; then, it constructs the neural network model and analyzes the data with the help of SPSS; finally, the experimental results are obtained, and the analysis shows that the error between the predicted speed and the real speed is very small, the average predicted error value is 0.3, and the average error rate is 2.35%, the result has better accuracy and feasibility, which can further realize the effective prediction of the travel time of the car. The model established in this paper has better practicability for travel time prediction, and the data can be used as reference value for travel time prediction of intelligent transportation system and other systems.
Extraction of Blast Furnace Burden Line Based on Radar Spectrum Restructured by Entropy Weight
Authors: Shi Qiudong , Ye Fenxian , Dang Wenzhi , He Yanan , Hou Qingwen , Chen Xianzhong 
Published: November 2020

Abstract
Hostile environment inside blast furnace (BF) and nonuniform fluidization characteristics of burden surface bring challenges to the extraction of burden line, which is an important factor affecting the smelting efficiency. In this study, based on the imaging principle of Synthetic Aperture Radar (SAR), a mechanical swing radar was designed to capture the high-density radar echo signals. By analyzing the characteristics of radar spectrum, the entropy weight method was used to complete the coordinate transformation from the nonuniform coordinate point cloud map to the grayscale image in real space to visualize the smelting states. Then, the burden surface features were enhanced by gamma correction, and the adaptive threshold segmentation was used to extract the surface transitional belt in the image. Finally, the burden line points were extracted by the energy centrobaric correction method to fit the burden line. Compared with traditional algorithm, experiments on industrial data indicate its feasibility and effectiveness.
Research on the Fast Solution Method of Pilots’ Head Attitude
Authors: Zhang Limin , Jiang Jie , Fang Wei , Liu Kai 
Published: November 2020

Abstract
Aiming at the problem of poor accuracy and poor real-time performance in the process of head pose calculation in pilot cabin simulation, a high accuracy and fast algorithm for head pose calculation is proposed. On the basis of traditional EPNP algorithm was improved, and combining with POSIT algorithm’s speed advantage, select face five key feature points as virtual control points, according to the mapping relationship between space and virtual control point coordinates, establish a system of linear equations, then the internal camera parameters is calculated using Zhengyou Zhang camera calibration method, finally using POSIT algorithm of calculating to get the head rotation matrix and translation vector, by conversion from the head of Euler angle in real time. The experimental results show that compared with DLT, EPNP, POSIT and other traditional methods, the proposed method has higher accuracy, better real-time performance and better robustness in solving pilots’ head attitude in continuous video.
Stiffness Enhancement Method for Complex Thin-walled Parts Driven by the Principal Stress Field
Authors: Zhang Weinan , Dai Ning , Guo Ce , Yu Yi , Gong Sai 
Published: November 2020

Abstract
Aiming at the problem that the stiffness enhancement effect of traditional reinforcing methods such as Tic-tac-toe type stiffener is not always optimal in the face of complex thin-walled parts, a stiffness enhancement method for complex thin-walled parts is proposed. In this paper, the bionic principle of Victoria vein layout based on the principal stress field model is explored, and an optimization method for the lightweight stiffness enhancement of complex thin-walled parts driven by the principal stress field is proposed. The experimental results show that the specific stiffness of the complex thin-walled parts generated by this method increases by 28% when the quality of the structure is basically the same as that of the traditional Tic-tac-toe type stiffeners.
Foreign object damage simulation of aero-engine blade
Authors: Xie Zhenbo , Ma Zhongyuan , Chen Qinggui , Li Bianjiang , Zhao Zhenhua 
Published: November 2020

Abstract
To study the anti-foreign object damage (FOD) ability of aero-engine compressor blades, finite element model of compressor blades was established. Blades damage was evaluated with different steel ball diameters and shock angles. Results show that the damage width and depth becomes bigger with the steel ball’s diameter increases. The damage width doesn’t change apparently with the shock angles, and the damage width nearly equals to the steel ball diameter. The damage depth mostly becomes smaller with the increase of shock angle.
Speed Optimization Design of Stacker in Automatic Stereoscopic Warehouse Based on PLC
Authors: Ding Li , Chen Yongsheng 
Published: November 2020

Abstract
The S-type speed control is applied to the motion control of the stacker, and the S-type speed curve control is simulated by MATLAB to verify the feasibility of the optimal design. In practice, Siemens S7-300 is used for PLC programming to realize S-type speed curve control technology of stacker. The high efficiency, real-time and accuracy of the design realized the effective optimization of the speed of the stacker in the automatic stereoscopic warehouse.
Research on the Damping Device with Adjustable Inertia and Damping
Authors: Tao Xiangyuan , Dong Xiaomin , Yu Jianqiang 
Published: November 2020

Abstract
In this paper, a new type of composite structure is proposed based on the original semi-active suspension of magnetorheological shock absorber and automobile suspension with inertia container, and the structure is analysed theoretically. The proposed new composite device is composed of a hydraulic cylinder, a magnetorheological damper and a hydraulic motor. The magnetorheological damper is compounded in the hydraulic cylinder and connected to the hydraulic motor through a hydraulic pipeline. The magnetorheological damper has the function of adjusting the damping, and the hydraulic motor achieves the purpose of adjusting the inertia by changing the mass. In order to analyse the device, the mechanical characteristics of magnetorheological valve and hydraulic motor are modelled and analysed. A quarter-vehicle suspension simulation analysis was performed on the overall operating characteristics of the system. The analysis results showed that the compound device has good variable damping inertia capacity characteristics, which is of great significance for improving the semi-active control suspension system.
Innovative design of eight-bar linkage motorcycle suspension based on mechanism regeneration method
Authors: Fan Yi , Deng Rukui 
Published: November 2020

Abstract
Motorcycles have high requirements on operation agility, steering accuracy and braking stability when running at high speed, and the core structure that determines the above performance lies in the suspension system. Therefore, this study uses the mechanism regeneration method to analyze the Duolever multi-bar linkage scissor front suspension of BMW and the eight-bar linkage rear suspension of Honda, and the topology matrix and generalized kinematic chain of the mechanism are obtained. Under the condition of meeting the design constraints, 12 kinds of eight-bar ten-pair combined kinematic chains can be gotten. After specifying the link types in turn, 17 feasible new eight-bar linkage motorcycle suspensions are finally realized. This study provides an efficient method for the independently design of the motorcycle suspension topology.
Research on the Topology of Wireless V2G for Electric Vehicle
Authors: Hao Zhonghan 
Published: November 2020

Abstract
Based on the circuit topology for the electric vehicle wireless V2G power transmission system, the boost circuit, wireless resonance circuit and grid-connected inverter circuit of the system were studied. According to the characteristics of the boost converter, a voltage feedback closed-loop control model based on PID and PWM was established. Since the excitation and magnetic leakage of the wireless transmission coil could not be ignored, the maximum transmission power model of the wireless resonance circuit was derived. Starting from the operation mode of the three-phase grid-connected inverter circuit, the control rules of the three-phase bridge arm that sent electrical energy back to the grid in a steady state were obtained. The simulation results showed that the maximum transmission power of the electric vehicle wireless V2G power transmission system was affected by the leakage magnetic field of the wireless transmission coil, and the maximum transmission power was inversely proportional to the leakage magnetic field. In addition, the boost circuit and grid-connected inverter circuit in the system were sources of harmonics, and a large amount of harmonic energy was sent to the grid during the operation process of the electric vehicle wireless V2G circuit.
Design of temperature humidity and illumination control system for indoor flowers
Authors: Liu Haidong , Wang Xiaosong 
Published: November 2020

Abstract
In order to improve the automation of indoor flower environment monitoring, enable the flowers grow in the best environment, this paper designs an automatic control system of temperature, humidity and illumination based on STC89C52 single chip microcomputer. Temperature sensor DS18B20 is applied to sense indoor air temperature, meantime, YL-69 soil moisture sensor and photosensitive resistance are used to sense soil relative humidity and light intensity respectively. Temperature, humidity and light intensity are transmitted to single chip microcomputer for analysis and processing, and the results are displayed by OLED display module. The upper and lower limits of environmental parameters are manually preset through the keyboard. When the temperature and light intensity exceed the upper limit, the system can send out alarm signals and output control signals to drive the corresponding actuator to work; when the soil moisture is lower than the lower limit, the system will automatically alarm and water automatically; when the humidity reaches the upper limit, watering will be stopped to ensure the indoor environmental parameters in the best value suitable for flower growth. The system has been tested and debugged. The results show that the control system can effectively process and display the flower environment information, achieving the purpose of automatically adjusting and controlling the temperature, humidity and illumination of flowers, has strong promotion value.
Parameter Change in Engine Simulation and Performance Optimization of Diesel Engine
Authors: Lyu Haomin 
Published: November 2020

AbstractDiesel internal combustion engines have been widely used in automobiles, ships, power generation, and other fields, laying a foundation for modern science and technology. Due to the wide application of internal combustion engines, the working efficiency and exhaust gas generated by internal combustion engines have become issues of common concern. In order to optimize the working efficiency and emissions, simulations are carried out under different conditions by using Cantera IC Engine code. Through analysis, the relationship between similar factors and their effects on emissions and thermal efficiency are shown, thus obtaining the most effective method to improve efficiency and reduce emissions. On the one hand, it is found that factors, such as the compression ratio, have a very intuitive impact on the efficiency of the engine. On the other hand, the ambient temperature and air pressure have less influence on the engine operating within the controllable range. These results provide a general idea for diesel engine optimization under certain environments.
Discussion on Application Verification Method of Xinyan Electronic Components
Authors: Qiu Xiuling , Xie Yang 
Published: November 2020

Abstract
This article first analyzes the verification of Xinyan electronic components, including functional verification, performance verification, and process verification. Secondly, the author elaborated on the current status of use of the newly developed electronic component verification methods, such as low applicability of domestic components, poor authority of verification specifications, and low integration of development and application. This paper studies the overall verification process analysis, application verification method analysis, verification effect evaluation analysis, verification information sharing evaluation, etc., in order to improve the accuracy of verification results and the rationality of electronic components distribution.
Multi-Candidate Electronic Voting Scheme Based on Fully Homomorphic Encryption
Authors: Liao Guopeng 
Published: November 2020

Abstract
In recent years, multi-candidate electronic voting has attracted tremendous attention and been put into lots of practice because of its outstanding effectiveness and convenience. As a result, it has become an urgent task to achieve the anonymity and public verifiability of electronic voting. Several schemes have been proposed so far, but most of them are either inefficient or too demanding of the security of the entities involved. Focusing on this problem, a multi-candidate electronic voting scheme based on fully homomorphic encryption and digital signature algorithm is proposed in the paper. To encrypt votes efficiently and reduce the dependence of different entities, the Identity Based Full Homomorphic Encryption(IBFHE) scheme is used in the paper. A homomorphic addition ticket counter is then used to realize the homomorphism calculation of encrypted votes. To settle the problem of identity authentication in electronic voting with high efficiency and security, Elliptic Curve Digital Signature Algorithm(ECDSA) is utilized. The capability of batching votes is achieved by making use of Single Instruction Multiple Data(SIMD) technology, which is designed for improving the efficiency of the voting system. Finally, the paper makes an analysis based on six security features of e-voting, which reveals the scheme’s safety and feasibility.
Research on Practice of Electrical Control Simulation System in Motor and Electrical Control Technology Course Teaching in Higher Vocational Education
Authors: Chen Long 
Published: November 2020

Abstract
In the fierce competition environment, students’ practical ability is more important. In order to adapt to the social development, constantly promote the curriculum reform of higher vocational colleges, enhance the professional practicality of electrical control technology course, enable students to master the relevant technology and improve the teaching quality, considering the actual situation of the school, the practical course of electrical control simulation system is proposed. The control group and the experimental group are set for teaching comparative analysis. While learning theoretical knowledge, students can practice through the simulation experiment system to further improve their practical ability. The results show that adding electrical control simulation system to the teaching of motor and electrical control technology course in higher vocational colleges can greatly improve students’ practical ability, and give full play to students’ subjective initiative, so that they can actively learn. Therefore, the application of electrical control simulation system in the teaching of motor and electrical control technology course in higher vocational colleges is of great significance for promoting teaching reform and improving students’ practical ability.
Sequence optimization of machining elements for process model based on the genetic algorithm of matrix constrained
Authors: Bin Cheng , Dingjie Guan , Jiyan QI , Bingxue Jing 
Published: November 2020

Abstract
Process sequence planning is the permutation and combination orienting to product manufacturing process, which plays an important role in improving the manufacturing produce efficiency and reducing the manufacturing cost. In this paper, an improved constraint matrix method is proposed to transform the relation between manufacturing features into the constraint relation between machining elements, and to determine the sequence coefficient of machining elements according to the correlation relation of manufacturing features. Through constructing the interactive associative relationship of sequence constraint matrix and combined constraint matrix, the initial population with high adaptability is selected out, and can improves the adaptability of initial population of genetic algorithm by using the process sequencing algorithm of improved constraint matrix. In order to improve the convergence speed, the accuracy and efficiency of process sequencing, the genetic algorithm of elite preserving is used.
Short-text intention recognition based on multi-dimensional dynamic word vectors
Authors: Xiao Mei , Yao Miao , Li Ying 
Published: November 2020

Abstract
For short-texts with few words and sparse features, it becomes very important to use text context semantic information to enrich its text representation. At present, the text representation method of static word vectors is the same for the same word in different sentences. From a certain perspective, contextual semantic information is not fully utilized. Therefore, this paper proposes to use the combination of BERT and ELMo to mine more comprehensive contextual semantic information from different dimensions to enrich the text representation. The BERT model fully describes the characteristics of word level, sentence level and relationship between sentences. The ELMo model can solve the problem of polysemy. LSTM and Attention Mechanism are used to extract high-dimensional text features, and CRF is used to recognize intentions. Experiments show that the multi-dimensional dynamic word vector intention recognition model (MD-Intention) proposed in this paper has achieved good performance on both the ATIS-2 dataset and the SNIPS dataset.
Classification of Customer Reviews on E-commerce Platforms Based on Naive Bayesian Algorithm and Support Vector Machine
Authors: Zhao Wenyuan 
Published: November 2020

Abstract
Customer reviews on e-commerce platforms contain valuable information, while sifting through them manually tends to dismay people because of the huge amount of data. Ideally, the identification classifier would analyze the emotional disposition of product reviews (positive, negative) and aggregate opinions about each of them. Previous literature has demonstrated extensive research conclusions on opinion extraction and semantic classification of product reviews on websites. However, analysis on the universality of machine learning algorithms in identifying the emotional tendency of different Chinese e-commerce reviews is not yet studied. This study uses a method, which is based on general machine learning algorithms, to classify feedbacks. Our classifier extracts Chinese word segmentation and text frequency for feature extraction and scoring, and implements the classification with methods of Naive Bayesian and Support Vector Machines. Experimental results on the Alibaba product review sentiment datasets show that our model based on two machine learning algorithms, though results in different performances, can provide suggestions on the selection of the identification classifier using a trade-off strategy and helps obtain fast and accurate classification on reviews of different categories.
Research on emotion recognition based on ECG signal
Authors: Zhang Zhongze , Wang Xiaofeng , Li Pengfei , Chen Xi , Shao Liwei 
Published: November 2020

Abstract
In this paper, we mainly study the emotion recognition algorithm based on ECG signals, extract the correlation feature and time-frequency domain statistical feature of ECG signals, and introduce SVW, CART and KNN three classification algorithms commonly used in emotion recognition. By comparing the accuracy of emotion recognition in the application of three classification algorithms between the correlation features of ECG signals and traditional time-frequency domain features, we found that the use of correlation features of ECG signals can get a higher recognition rate, which is 16.7%∼19.7% higher than that of the traditional feature. In addition, among the three classification algorithms, KNN algorithm can get the highest emotion recognition accuracy. In order to further improve the accuracy of emotion recognition, Max-Min Ant System is combined with KNN classification algorithm in this paper to optimize the feature combination. The overall recognition rate reaches 92%, which is 16.9% higher than the accuracy of emotion recognition directly using KNN classification algorithm.