bluuebunny/crossref_metadata_2025_split huggingface dataset:
Application of Dijkstra algorithm in finding the shortest path
Authors: He Baoyi 
Published: February 2022

Abstract
As the development of Automotive, people are doing research on self-driving and innovation of public transportation. The coming of 5G will made these come true soon in the future. And this paper is about an algorithm useful on transportation. Using Dijkstra algorithm to match two people who have the similar source and destination, then find the shortest path for them. For each person, the source and destination are two regions but not two points. This paper includes some methods to implement Dijkstra algorithm in detail and two examples to display the results. The algorithm is written in C language.
Multi Classification ERT Flow Pattern Recognition Method Based on Deep Learning
Authors: Wang Pai , Miao Yueying 
Published: February 2022

Abstract
Electrical resistance tomography (ERT) is the frontier technology of modern industrial detection, in which flow pattern is an important index of two-phase flow detection. Affected by many factors, ERT flow pattern recognition is difficult. In this paper, an ERT flow pattern recognition method based on deep learning is designed in order to obtain the real situation of flow pattern in pipeline in practical application. The original ERT measured voltage is transformed from one-dimensional data information to two-dimensional dot matrix information by pseudo image coding method. According to the characteristics, the flow patterns are divided into 27 categories, and then ERT voltage image databases with different scales are established in time domain and frequency domain. Convolutional neural network is used to construct ERT flow pattern recognition network model based on deep learning, and experiments are designed to verify its performance. The results show that the average accuracy of each flow pattern recognition of this algorithm can reach 98.74%, of which the accuracy of 14 types of flow pattern recognition is 100%. This method can achieve high-precision ERT flow pattern recognition task.
Deep Learning Applications in Simultaneous Localization and Mapping
Authors: Zhang Haoyang 
Published: February 2022

Abstract
Simultaneous Location and Mapping (SLAM) is a research hotspot in the field of intelligent robots in recent years. Its processing object is the visual image. Deep learning has achieved great success in the field of computer vision, which makes the combination of deep learning and slam technology a feasible scheme. This paper summarizes some applications of deep learning in SLAM technology and introduces its latest research results. The advantages and disadvantages of deep-learning-based-SLAM technology are compared with those of traditional SLAM. Finally, the future development direction of SLAM plus deep learning technology is prospected.
Heat Supply Optimization Based On Machine Learning And Knowledge Graph
Authors: Xie Chunfu , Xie Yutong 
Published: February 2022

Abstract
At present, heating companies mostly use a set-point temperature control curve. The operator adjusts the temperature control curve according to watching the outdoor weather conditions, which usually results in economic conditions. Given the above condition, we analyze the heating system’s mechanism first, then compile and analyze much historical data. According to the analysis results, we establish the heat exchange station-user room temperature joint model based on the machine learning method. Using the above model, the system is deeply explored, and the optimized secondary heating curve is designed and simulated. The results show that the user’s room temperature stability has an obvious control effect, which is of great significance to meet the room temperature compliance rate. At the same time, the knowledge graph of the heating field and some applications based on the knowledge graph are also built to provide more convenient and friendly operating advice for operators.
An aerodynamic surrogate model of launch vehicle based on relevance vector machine
Authors: Peng Bo , Ma Cheng , Wang Guodong , Hu Fengyan , Mei Ke , Yang Jian 
Published: February 2022

Abstract
In the process of launch vehicle multidisciplinary design optimization, aerodynamic calculation takes a long time, which affects the overall design cycle. In order to solve the above problems, based on the idea of machine learning, this paper constructs the surrogate model of relevance vector machine and calculates the aerodynamic coefficients of launch vehicles quickly. Firstly, the aerodynamic model of launch vehicle is established, and the orthogonal design method is used to generate test sample points. Then, the aerodynamic coefficients of the sample points are calculated by using Fluent software, and the training data of the surrogate model are obtained. On this basis, the relevance vector machine model is trained with training data, generating correlation vector machine agent model. Finally, the calculation accuracy of the surrogate model is evaluated by simulation, and the feasibility and validity of the method are verified.
The Efficient Implementation of Face Mask Detection Using MobileNet
Authors: Zhou Yuan 
Published: February 2022

Abstract
Under the condition of the global pandemic, Wearing the mask in the public area is the direct and ordered action to prevent the spreading of the virus. Therefore, developing the machine learning model to detect whether the mask is appropriately wearing is practical and meaningful. This paper unfolded the mask recognition based on the MobileNet model, which belongs to one of the branches of Convolutional Neural Network, CNN for short, in the deep learning field. With the background and tremendous needs of face mask detection, in the beginning, we go through the review of the MobileNet’s history and the practicability of it on demanding functions. After that, we explained in a more detailed way to help gain a better understanding of MobileNet’s structure and how those differences make it outstanding. During the experiment, approximately 9000 images were used as inputs by the model for training and optimizing. The result turns to the less weighted model presenting an acceptable accuracy of 87.96% and 93.5% for testing whether a person wears a mask and whether the mask is covered correctly correspondingly. We also discovered several shortcomings and limitations during the testing process. Those problems and some of the possible further directions of MobileNet will be discussed. As a result, the MobileNet shows the huge probability for further improvement to be equipped into the small-scale but sophisticated utensil.
Mechanical analysis of shield machine cutter head under multiple working conditions based on elastoplastic model
Authors: Min R , Zhang QL , Qin JY 
Published: February 2022

Abstract
The shield machine’s ability to simultaneously cut soft soil and hard rock makes it widely used in subway tunnels, diversion tunnels and other underground engineering constructions. As the core component of the composite shield machine, the shield cutter head has a decisive effect on the work efficiency of the shield machine. When the cutter head of the shield machine is working, the positive pressure of the cutter head directly affects the working performance of the shield machine. However, when the shield machine is working, the positive pressure of its cutter head has been influenced by many factors. Therefore, the problems of evaluating positive pressure of shield machine cutter head and optimizing structure of machine cutter heat are needed. In this study, the force balance equation has been used to derive the calculation formula of the positive pressure of the soil on the cutter head. This formula can analyze the positive pressure value of the cutter head under various working conditions under different friction coefficients. At the same time, this research uses Hypermesh software to integrate the cutter head body and the force transmission ring, and uses ANSYS statics simulation analysis method to perform mechanical calculations on the shield machine cutter head. The analysis of the cutter head is 1/6, 1/3, and 1/2 effect of soil on the cutter head when the rotor is locked, and the overall stress distribution of the cutter head is analyzed to optimize the structure design of the cutter head.
A method based on the transmission line information for normal operation and fault of solving transfer impedance
Authors: Li Mengjiao , Yu Haifeng , Xie Yuzheng , Chen Zehong , Li Xinran , Lu Chunjing 
Published: February 2022

Abstract
Under the background of UHV project, the level of power system short-circuit current increasing has been one of the challenges of these power grid is facing. Therefore, it is necessary to analyze the characteristics of short-circuit current in power grid. The traditional method of calculating transfer impedance is to form node impedance matrix through network, and then calculate transfer impedance by formula. The precondition of the traditional method is to know the parameter information of each element in power grid, however, it is difficult to accurately give the parameter information of each element in engineering application. Based on the limitations of the traditional method, a method based on the transmission line information for normal operation and fault of solving transfer impedance is proposed, which treats the grid as a black box except for the short circuit point, so it is not necessary to know the parameter information of each element in the power grid as a known condition. Applying the method to solve for transfer impedance in a ring network, and the results are compared with the results of the traditional method to verify that the method is feasible.
Analysis on the mechanical properties of crawler doubles - arm degree-dividing bar car bolt drill
Authors: Wang W H , Deng H S , Zhang Y , Zhou W 
Published: February 2022

Abstract
In view of the low efficiency of roadway support in coal mine, a crawler double arm bolts drill with indexing function is proposed, in view of the low efficiency of roadway support in coal mines, a crawler double-arm bolt drill with indexing function is proposed. The mechanical characteristics of its key components in the telescopic action of the spindle arm are calculated and analyzed, and the binding force of the spindle arm and the variation rule of the telescopic acceleration and rotation Angle parameters are obtained. And the torque of the spindle arms decreases slightly with the decrease of the rotation Angle of the spindle arm, and increases greatly with the increase of the length of the spindle arm. The results show that the maximum torque is 6914Mpa when the length of the spindle arm is 2.4m and the rotation Angle is 45°, which lays a foundation for the subsequent design of the drill car and the improvement of the efficiency of anchor guard operation.
Design of ECG Signal Generator Based on Motion Scene
Authors: Jiang Haoyu , Li Dongyu , Li Lanfei 
Published: February 2022

Abstract
With the normalization of cardiovascular diseases(CVD) in many countries, portable ECG monitoring devices have gradually become popular. However, since the current portable ECG monitoring equipment lacks a unified testing standard specification, a suitable calibration device is required for restraint. This research simulates a multi-state ECG signal generation system built using Arduino uno board for calibration of portable ECG monitoring devices. The system can generate human ECG signals of different intensities under different heart rates based on the operation of the host computer. The equipment has the advantages of simple, easy-to-use and low cost, and can be used as an ECG signal source for a portable ECG monitoring device in a simple laboratory environment.
Research on Dynamic Characteristics of Asphalt Graded Crushed Stone Ballast Bed Based on Discrete Element Method
Authors: Liu Li , Song Shanyi , Zhang Xianheng , Yuan Yingqiang 
Published: February 2022

Abstract
Through laboratory test, field test and discrete element simulation calculation, the dynamic characteristics of asphalt graded crushed stone ballast bed are studied, and the influence of asphalt graded crushed stone layer thickness on the dynamic performance of different structural layers of ballast bed is analyzed. The results show that compared with the traditional subgrade structure, the dynamic stress, dynamic deformation and vibration acceleration of asphalt graded crushed stone subgrade are smaller, and asphalt graded crushed stone is the main bearing structure layer. With the increase of the thickness of asphalt graded crushed stone layer, the stress state of subgrade is improved. It is recommended that the thickness of asphalt graded crushed stone layer is 16cm.
Study on Dynamic Response of Buried Pipeline Rolled by Heavy Vehicle Based on Co-simulation by ADAMS and ABAQUS
Authors: Jiang Wanlin , Miao Liu , Wang Yan , Gan Yutao , Jiao Shoutian , Zhang Hao , Xu Taolong 
Published: February 2022

Abstract
At present, the rolling load of heavy vehicles has become one of the main ground loads threatening the safety of buried pipelines. In this paper, the vehicle simulation is carried out based on ADAMS to extract the wheel force. At the same time, the pipeline soil coupling model is established based on ABAQUS. The amplitude of the random moving load extracted by ADAMS is used for finite element simulation calculation, the dynamic response process of the pipeline is simulated, and the stress distribution of the buried pipeline under the vehicle rolling load is obtained. Aiming at the pipeline stress concentration area, that is, the most vulnerable area of the pipeline, the pipeline load reduction and prevention and control measures are proposed, and the four measures are compared, which provides theoretical support for the actual engineering prevention and control.
The Influence of Seat Occlusion on Driver’s Binaural Signal in Automobile based on FEM-RTM Simulation
Authors: Cao Yuntao , Liang Linda , Tan Wei , Zhang Zhichao , Lei Cheng , Yu Guangzheng , Lu Bingwu , Liu Yingjie , Li Yun 
Published: February 2022

AbstractAutomotive environment is increasingly becoming an indispensable listening space in our daily life. Affected by the seat occlusions on sound propagation between the front-row and rear-row space, the speech communication between front and rear passengers in automobile is a well-known problem. However, this issue has been paid less attention. To this issue, the numerical simulation is a common, low-cost and high-efficiency technical approach. However, it is a well-known limitation on the effective frequencies to common numerical methods. To extend the region of effective frequencies, a combined approach of the finite element method (FEM) for low-frequency and the ray-tracing method (RTM) for high-frequency (i.e., FEM-RTM) was adopted in current work. The full-bandwidth binaural room impulse responses for a listener in driver’s seat were simulated with the speaker at mid-right seats, and both conditions with seats and without seats were taken into account. Result showed that the seats occlusions mainly affected the left ear (i.e., contralateral ear). The seat occlusions reduced the early decay time, speech transmission index and magnitude spectrum for left ear considerably. The inter-aural correlation coefficient under condition without seats was lower than that under condition with seats.
The Sound Field Characteristics in Automobile under Different Speaker Height based on Numerical Simulation
Authors: Liu Yingjie , Liang Linda , Zhang Zhichao , Tan Wei , Lei Cheng , Yu Guangzheng , Cao Yuntao , Lu Bingwu , Li Yun 
Published: February 2022

Abstract
The automotive acoustic environment has become an indispensable listening space in people’s daily lives. However, due to the complexity of the acoustic environment inside automobiles, the sound reproduction in automobile is particularly problematic compared with that in ordinary domestic environments. From the perspective of sound reproduction, it is an effective approach to improve the reproduction performance by raising the speaker height such that nearer to the height of listener’s ear. However, this issue has been less studied quantitatively. In current work, we aim to explore how the speaker height affects the sound field characteristics at target listening region by using the finite element method. The speakers at front door inner panels were mounted to three different heights, respectively, and the sound field characteristics at target listening region in driver seat were analysed. Result showed that for higher speaker layout resulted in larger sound pressure levels at the target listening point, and the sound field distribution tends to be more homogeneous. Also, raising the speaker height is conducive to giving a constant frequency response at the target listening point. This works can provide the reference for the design of automotive audio system.
Robust Optimization Design of Supply Chain Based on Correlated Multi-Performance Responses
Authors: Zhu Lianyan , Ouyang Linhan , Wu Feng 
Published: February 2022

Abstract
Aiming at the problem of supply chain robust optimization with multiple performance responses, a robust optimization method was proposed by combining principal component analysis with double response surface method based on Kriging meta-model. Firstly, through principal component analysis, the location characteristics and divergence characteristics of multiple related performance responses were transformed into the principal component comprehensive score of supply chain performance; secondly, the Kriging metamodels of location characteristics and divergence characteristics of multiple performance responses were constructed respectively, and the principal component comprehensive score model of comprehensive performance based on Kriging meta-model was constructed. Thus the optimal operating conditions by optimizing the constructed robust optimization strategy were obtained in order to realize the robust optimization of supply chain system with correlated multiple responses. Finally, a supply chain simulation case was given to illustrate the effectiveness of our proposed optimization method, and the robustness of different methods was also discussed. The comparison results showed that our proposed was more robust.
A Method of Computer-aided Design for Machine Center
Authors: Wang Zhun 
Published: February 2022

Abstract
This paper studies the conceptual design of MC (machining center), and the main findings are as follows: The RW (representative workpiece) is the data source of designing an MC. The mechanical matrix of an MC can be figured out by the requirement arising from NC manufacturing of the RW, in which the layout of an MC matrix is constructed with the FPCNMT (functional parts consisting of an NC machine tool). In any CAD system, the design jobs of an MC’s layout involve three different fields. The first work deals with the preconstruction of the feature-model repository of FPCNMT, and the methods of building the repository are introduced by the author. The second design issue focuses on the construction of the mechanical matrix of an MC, in which the writer presents assembling the matrix by calling the FPCNMT based on the PP of a RW. The last job involves correctness and optimum of the layout design of the MC.
Lightweight Design and Test of Electric Experimental Car
Authors: Song Fei , Wan Maosong , Duan Fude , Wu Huibo 
Published: February 2022

Abstract
A light-weight electric experimental vehicle is designed. According to the light-weight design requirements, the power battery, the battery manager and the driving Motor controller are designed and selected, the chassis frame, anti-rolling frame, steering system and driving system are designed and validated with CAD and CAE software respectively. On this basis, we have carried out the production, assembly and commissioning of the real vehicle. The test results show that the electric experimental vehicle has high practical value and can meet the requirements of experimental teaching. It is worthy of further study, performance optimization and application.
Research on Microstructure and Mechanical Properties of CMT and MIG Welded Joints of A6N01 Aluminum Alloy
Authors: Wang Hongguang , Cen Shengbo 
Published: February 2022

Abstract
Cold metal transition welding (CMT) and molten inert gas shielded welding (MIG) two welding processes were used to conduct butt welding tests on 2mm thick 6N01 aluminum alloy, and the microstructure and mechanical properties of the welded joints obtained by the two processes were tested.The results show that the welded joints of 6N01 aluminum alloy welded by CMT process have better appearance and less welding defects and welding spatter. The tensile strength of CMT welded joints is 213MPa and the elongation after fracture is 10.64%, which is slightly higher than that of MIG welded joints. The hardness distribution of CMT and MIG welded joints and the hardness values of each zone are basically the same. Compared with MIG welded joints, the grain structure of CMT welded joints and the equiaxed crystals on the side of the fusion zone near the base metal are smaller and more uniform.
Research on Hysteretic Behavior of Cold-Formed Thin-Wall Rolled Edge Channel Steel Flexural Members
Authors: Yang Jiabao , Guo Yanli , Yu Lipeng , Hu Chengli , Liu Yafei 
Published: February 2022

Abstract
The finite element software ABAQUS is used to calculate and analyze the mechanical performance of cold-formed thin-walled curved channel steel members under horizontal reciprocating load. Double nonlinear finite element model needs to be considered, the influence of geometric imperfection and residual stress. The accuracy of the results was verified by comparing with the relevant test results. On the basis of controlling the main parameters such as width-thickness ratio, axial compression ratio, slenderness ratio and buckling mode, the numerical simulation results of 9 hysteretic specimens were selected to research the influence of the above factors on the hysteretic performance of the flexural members. The analysis results show that the width to thickness ratio, axial compression ratio and slenderness ratio have great influence on the hysteretic performance of the flexural members. The larger the three main parameters are, the worse the bearing capacity, ductility and energy consumption of the members will be. Therefore, the design should avoid as far as possible to choose a larger width-thickness ratio and slenderness ratio section components.