bluuebunny/crossref_metadata_2025 huggingface dataset:
Real-Time Panoramic Multi-Target Detection Based on Mobile Machine Vision and Deep Learning
Authors: Wen Anzhou
Published: October 2020

Research on computer vision technology based on deep learning has become an important research direction in the field of artificial intelligence. Among them, the target detection task of images and videos has occupied a pivotal position in many intelligent vision research and applications. The purpose of this article is to learn from the existing object recognition and target detection technology foundation, to conduct in-depth research on the current traffic patrol deficiencies, to achieve real-time patrol and monitoring of key roads. This article chooses to use the target detection algorithm of Faster R-CNN in deep learning, applies drones and mobile machine vision to traffic patrol inspection, and detects various targets in the PASCAL VOC data set. The AP of the bus is 68.20%; The AP of the car is 75.50%; The moving object recognition and tracking method based on Faster R-CNN and Hungarian matching method is verified, and traffic flow data can be calculated to realize real-time monitoring of road traffic. The research in this paper helps to overcome the defects of human eye recognition in the traditional monitoring system and improve the efficiency of traffic inspection.
The Research of the control system of the intelligent vacuum robot
Authors: Zhang Guang Cai , Gao Xiuqian , Guo Lei , Liu Yuting , Wang Zhihao , Wu Xiaoguang
Published: October 2020

In this paper, a household intelligent vacuum robot based on STC89C52 is researched. The hardware composition and working principle of the system are introduced, and the program and flow chart are given. After continuous study and discussion, the general research, circuit research, physical welding and system debugging of the whole system are completed. In this paper, the home intelligent dust collection robot is researched to detect the obstacles along the way through e18.d80nk infrared obstacle avoidance sensor, and transmit the detected signals to the single-chip microcomputer for discrimination. The single-chip microcomputer then controls the motor steering through the L298N driving module to achieve the obstacle avoidance function, and carries out the dust collection through the bd6081 fan circuit when traveling. After the completion of the research, it can basically achieve the functions of quick response, obstacle avoidance and dust collection of household intelligent cleaner.
Convergence Analysis of Multilayer BP Neural Network with Momentum Term
Authors: Xu Xiang , Xie Gang
Published: October 2020

In this paper, we analyze the convergence of a back-propagation (BP) neural network with momentum term containing multiple hidden layers. When the learning rate is constant and the momentum coefficient is adaptively changed under certain conditions, we give both the weak and strong convergence results of the algorithm, and give corresponding theoretical proofs for both convergence results.
Construction of Fault Diagnosis Model of Metro Wheel Speed Box System Based on Convolution Neural Network
Authors: Ren Xiangyi , Wu Jingyuan
Published: October 2020

This research focuses on a fault detection method apply on the subway wheelsets. This fault diagnosis method is mainly aimed at the vibration signal to distinguish the fault and abnormal situation. At the same time, the vibration signal incorporated with the deep learning method to establish the diagnosis mechanism. Reliable online data of subway in a city of China and CNN (Convolutional Neural Network) are applied in the web training process. The degradation of vibration signal of rolling functional unit (wheelset) was summarized, and the difference between normal and fault signals of rolling functional unit (wheelset) was studied. The feedback learning mechanism makes it possible to update the neural network in real time.
Research on computer aided diagnosis based on artificial intelligence
Authors: He Ziqi , Qin Chunkai , Zeng Zhaobo
Published: October 2020

Magnetic Resonance Imaging (MRI) is a clinically important means of examination. Different pulse sequences can be used to obtain information about the structure, function, metabolism and other aspects of human tissues. Magnetic resonance imaging is also one of the most complex medical imaging methods. There are a lot of scientific and technical problems to be studied in various stages of magnetic resonance imaging, such as data acquisition, image reconstruction, image post-processing and image analysis. In this paper, the methods of data-driven and artificial intelligence are used to study the MRI image reconstruction, image processing and image analysis.
The Computational Model of Firing Error and Transfer Range During Naval Gun Implementing Transfer Fire at Sea Target
Authors: Sun Dongyan , Xie Weihe , Hu Jiang
Published: October 2020

According to the characteristic for naval gun to implement transfer fire at sea target, the causes of transfer fire errors are analysed, and the computational model of transfer fire errors is put forward, then the calculating methods of transfer value and transfer range are proposed. This paper provides strong technical support for naval gun to implement transfer fire.
Multimodal Haptic Interaction Technology and its Application
Authors: Meng Xiangrui , Song Yan
Published: October 2020

Haptic human-computer interaction technology is an important part of human-computer interaction in virtual reality. It simulates the process of human’s haptic perception of real objects and feeds back the haptic information of virtual environment to people, greatly improving the interactivity and telepresence of virtual environment. Starting from the differences between virtual objects and haptic expressions, this paper summarizes the research status of haptic modeling technology and haptic rendering equipment, and analyzes the characteristics of haptic interaction technology in various modes. The framework, research progress and application of haptic human-computer interaction information sensing system based on cloud are proposed. Finally, the development trend of multimodal haptic interaction technology is prospected.
Pointer instrument image recognition system for veterinary drug production based on RFID and deep learning
Authors: Qiu Qin , Cao Shanshan , Wu Jianzhai , Kong Fantao , Sun Wei
Published: October 2020

Based on RFID technology, the tag data can be read and identified dynamically, real-time, contactless, long-distance and batch, and the image information of pointer instrument can be collected. Using Faster-RCNN to detect and locate the dial area, and combining with Le Net-5 method to identify the dial number, the system has the advantages of fast reading, high accuracy, strong adaptability and intelligent management. It provides a solution for the automatic recognition and reading of pointer instrument in the complex environment of veterinary medicine production workshop.
Arbitrary Finite Dimensional Generalization of Quantum Coin-Flipping Game
Authors: Cao Fasheng
Published: October 2020

Two players of coin-flipping game randomly choose one of two strategies, flipping over or not. Meyer quantized states of the game to be described instead by density matrices of the two-dimensional Hilbert space. In order to obtain and unify generation of the two players coin-flipping game with more than two strategies, we renew the need for equivalently describing Meyer’s PQ coin-flipping game by representing player’s strategies as elements of permutation groups. Expanding the dimension of quantum vector to arbitrary N-dimension in the coin-flipping game model, we generalize Meyer’s PQ coin-flipping game to PQ arbitrary finite strategies game. Owing to the quantum Fourier transform, quantum contrivance of Q has a winning strategy in PQ coin-flipping game with arbitrary finite strategies. Even though the player Q has a small probability of winning his opponent in the classical PQ coin-flipping game with arbitrary finite strategies, he can win his opponent who uses classical mixed strategies by his quantum strategies. Furthermore, we realize the winning quantum strategies of quantum player Q of PQ coin-flipping game with arbitrary finite strategies in macro world.
Simulation and Analysis of Noise from Acoustic Hood of Micro Electric Vehicle Range Extender*
Authors: Yuan Chun , Yuan Haowen , Su Hongchun , Li Long
Published: October 2020

Aiming at the noise control requirements of micro electric vehicle(EV) range extender, the author designed an acoustic hood and base it to build a 3D model and make a modal analysis and acoustic simulation to analyze the effect of noise control. Verifying the design of acoustic hood is reasonable. At the same time, it’s one of the important reasons the natural frequency of the hood results in the difficulty of noise control which can supply reference for improving design of acoustic hood of range extend.
Logistic big data prediction of gastric cancer
Authors: Wang Yuxuan , Zhong Caiwei , Zheng Yuxiang
Published: October 2020

In the era of big data, precision medicine for gastric cancer refers to the high throughput analysis of clinical data of patients with gastric cancer. The proposal of personalized diagnosis and treatment for each patient’s molecular biology and pathological characteristics, so as to achieve personalized precision medicine. In this paper, the prediction method is significance analysis and the statistical method of prediction model is logical analysis and discriminant analysis, and the significance test standard is p < 0.05. Logistic regression was used to identify and predict the prevalence of cancer patients, and the data used for prediction analysis were all from MS SQL database. The results showed that blood routine, blood biochemical and urine routine data can be used to distinguish cancer patients from healthy people. The cancer risk prediction model based on blood routine, blood biochemical and urine routine data can accurately target high-risk cancer people with an accuracy of 95.5%. In the era of big data, the accurate diagnosis and treatment strategy of gastric cancer can promote the aggregation, integration and sharing of gastric cancer related data.
An Improved K-means Algorithm for Supplier Evaluation and Recommendation of Purchase and Supply Platform
Authors: Li Junting , Qiu Wenwen , Li Weigang
Published: October 2020

Aiming at the problem of supplier evaluation and selection in B2B e-commerce, a supplier evaluation and recommendation method based on improved k-means algorithm is proposed. Firstly, this paper analyzes the supplier evaluation and recommendation ideas based on the purchase and supply platform, and proposes the data mining algorithm ideas of clustering analysis and AHP evaluation; secondly, K-means algorithm is proposed based on the data mining model, and the algorithm is optimized according to the data characteristics of the purchase and supply platform; finally, taking the business data of the industrial product purchase platform of the volume purchase network as an example, not only the effectiveness of the algorithm is verified, but also the clustering effect of the algorithm is good and the calculation speed is fast, which provides a practical and effective supplier evaluation and recommendation method for B2B trading website.
Research on Optimization Model of Dynamic Distribution Path Based on Intelligent Logistics
Authors: Gao Yiwen , Wang Xifu
Published: October 2020

Compared with traditional logistics distribution, today’s express delivery is more dynamic, increasing the difficulty of distribution path optimization. The application of intelligent logistics technology in dynamic distribution path optimization is a deep application of intelligent logistics technology and a major breakthrough in logistics distribution. This paper, aiming at minimizing the total cost, establishes the DVRP-TW model of distribution path optimization model based on dynamic traffic and uses improved Genetic Algorithm to solve it. A delivery network in Beijing is selected as an example, the optimization results of distribution path under dynamic traffic are obtained by MATLAB programming. Finally, by comparing and analyzing the results of distribution path optimization under static condition, it is concluded that it is very necessary to consider the influence of dynamic traffic on distribution path optimization, and the more accurate the road information processing is under intelligent logistics, the more scientific the design of distribution path is.
On the Discussion of Computer Mass Data Access and Its Characteristics in Time Limit
Authors: Wu Xingping , Liu Xusheng , Li Ziqian , Deng Zhidong , Zhu Qing , Zhang Li
Published: October 2020

With the rapid development of the Internet era, the Internet of Things, big data, mobile payments, and the digital age of AI, information technology is gradually covering people’s lives and learning. People come into contact with tens of thousands of information every day. Getting useful data can not only shorten the time effectively, but also meet specific needs. For example, the State Grid will conduct big data analysis on our daily electricity consumption according to our daily electricity consumption, analyzing the peak and trough of electricity consumption, and the abnormal electricity consumption in January. In all the consumption data analysis, the results of the analysis are used in the power transmission and transformation business planning of the power sector, carry out targeted preparation plan in the specific transmission of power, and further improve the quality of power consumption. Based on this, the paper discusses and analyzes the massive data access, massive data analysis and data effectiveness.
Otsu Image Threshold Segmentation Method Based on Seagull Optimization Algorithm
Authors: Wang Yuyin
Published: October 2020

In this paper, a two-dimensional Otsu image threshold segmentation method based on Seagull optimization is proposed. The Seagull algorithm is used to calculate the threshold points of two-dimensional Otsu image segmentation and segment the image. The algorithm makes full use of the seagull migration operator of global search and the seagull attack operator of simulated local search. Simulation results show that the algorithm not only improves the speed, but also improves the segmentation accuracy.
Simulation Test Study on Combined Gap Structure of High-speed Railway Catenary
Authors: Kong Jiaqi , Xia Zhijian , Wang Jufeng
Published: October 2020

In order to deal with the lightning damage problem commonly existing in high-speed railway catenary, a combined multi-breakpoint arc-extinguishing and lightning protection gap device (CMALPGD) which can be applied to high-speed railway catenary is proposed in this paper. Based on the principle of gas production and arc quenching of the device, a three-dimensional dynamic (MHD) model of arc in the arc-extinguishing chamber is established. With the help of simulation software to simulate the changes of the temperature, conductivity and high-speed airflow velocity of the arc at the fracture of the arc-extinguishing chamber, it is known that the high-speed air flow generated by the arc-extinguishing device can quickly extinguish the arc and restrain the arc development, and the whole quenching time is about 2.5ms. At the same time, the arc-extinguishing test is carried out by setting up the test circuit under laboratory conditions, and it is found that the arc-extinguishing time of the device is about 3.0ms and the arc is not reignited for a period of time. The conclusions provide a scientific basis for the application of CMALPGD in high-speed railway catenary in the future.
Helmet wear detection based on neural network algorithm
Authors: Cao Ruiyun , Li Hongxiang , Yang Banglie , Feng Ao , Yang Jie , Mu Jiong
Published: October 2020

Wearing safety helmet correctly is an effective means to reduce the accident rate and ensure the safety of construction personnel. But in the complex work site, the helmet detection task will face a variety of challenges. This paper uses YOLOV4’s deep neural network architecture and makes fine-tuning and improvement according to the characteristics and difficulties of this task, proposes a new helmet detection system, and achieves 95.1% accuracy. The application can timely and accurately detect whether the personnel wear the helmet correctly, which is of great significance for ensuring construction safety in practical work.
Research on cultural landscape supported by digital technology
Authors: Lin Yinan , Wang Ting , Han Mengmeng , Liu Siqi , Huang ZhiLiu
Published: October 2020

Cultural landscape is a combined work of both human and nature. The study of cultural landscape in a region is helpful to discover the historical changes and human factors in the region. With the development and maturity of digital technology, there are many kinds of research ways, such as UAV, satellite remote sensing, etc. Firstly, this paper collects and understands the domestic and foreign research examples, then analyzes the application advantages of UAV in cultural landscape research, and then takes Guling, Fujian Province as an example to carry out the landscape culture research using UAV technology, and finally summarizes that UAV technology can provide reliable data sources for Cultural Landscape Archaeology, solve the accessibility problem in Cultural Landscape Archaeology Research, and provide more perspectives for desktop work.
Dynamic Matrix Based Thermal Power Tracking Control of Nuclear Power Reactor
Authors: Shengbao Li , Feng Zhao
Published: October 2020

power control of nuclear power plant is an important technology to ensure the safe and efficient operation of nuclear power unit. Because the power system of nuclear power reactor belongs to nonlinear system, there are many factors affecting the distribution of thermal power, which leads to the uncertainty of the tracking target of thermal power of nuclear power reactor. Therefore, this paper proposes a dynamic matrix-based thermal power tracking control method for nuclear power reactors. The dynamic matrix algorithm is used to establish the prediction model of the controlled object, to determine the tracking target value, to design the dynamic matrix controller, and to formulate the switching strategy combined with the minimum value of the cumulative prediction error, and to realize the thermal power tracking control of the power reactor. Simulation results show that the proposed method has different target values under different working conditions in accordance with the actual control value, it has better engineering value and practical significance for reducing the working intensity of operators and improving the performance of load tracking.
The Study on Suppression Common-mode Voltage Strategy Based on Predictive Control
Authors: Wang Kai , Zhang Yanbing , Shi Shumei
Published: October 2020

The traditional two-level pulse width modulation strategy will generate a higher common-mode voltage and cause common-mode interference to the inverter load-side equipment. This paper uses predictive control to implement current tracking control. The algorithm is simple to implement and can be adjusted by adjusting the value factor to suppress the common-mode voltage output of the inverter, and the simulation verifies the correctness of the algorithm, which has certain reference value for further research on the suppression of the common-mode voltage on the load side of the inverter.
Gear Ratio Distribution of Electric Vehicle Reducer
Authors: Tang Zhihao , Li Xinmin
Published: October 2020

Based on the contact fatigue strength criterion of tooth surface, the mathematical model of gear ratio distribution of the electric vehicle is established. In the process, there are two objective functions. One is the minimum diameter of electric vehicle reducer, the other is the minimum mass of electric vehicle reducer. Through examples, relevant program is compiled with matlab software. It is obtained that there is a distribution method for gear ratio of the electric vehicle reducer.
Research And Practice On Transformation Of 600 MW Turbine Tubular Cooling Unit Into Direct Air Cooling Unit
Authors: Shengxiang Jin , Liuhu Wang , Jinsong Zhang , Qi Zhang , Qianyu li , Wei Bai , Chuan He , Yong Zhou , Daming li , Yu Xiao
Published: October 2020

In response to the government's policy of protecting Daihai Lake, this paper discusses the possible problems in the technical practice of air cooling transformation of Inner Mongolia Daihai Power Generation Company, including the transformation of steam turbine body, auxiliary system of steam turbine body, transformation of thermal system and auxiliary equipment, layout of steam turbine room, etc. The results show that the operation is stable and the energy saving effect is remarkable.
Research of fastener distribution for typical irregular connections of civil aircraft
Authors: Gou Pengpo
Published: October 2020

In this paper, based on the analytical method of calculating simple and regular single shear connector distribution, based on the engineering formula, the flexibility coefficient of different fasteners, pin spacing, plate width and plate thickness is given. The deformation coordination equation between adjacent fasteners is established. The diameter of different fasteners is given by the equilibrium conditions of the binding force. The calculation equations of fastener load distribution under the spacing of fastener, plate width and plate thickness have been calculated. The finite element model for calculating fastener load is established in finite element software based on finite element method. The calculation results of finite element method and analytical method are compared, and the analytical method is proved to be used to calculate plate width, plate thickness, fastener diameter, and the analysis method. The effectiveness of pin load distribution for typical connection structures with constant spacing between Fasteners is also presented.
Design of Weighing Controller for Kiwi Fruit Grading Based on PLC and MCGS
Authors: Ma Baijie , Zhang Tianyu , Guo Ning
Published: October 2020

At present, after picking kiwifruit in China, most areas have used machines to classify them, gradually replacing manual classification. However, machine classification is currently all large-scale machines, with an average of about 150kg, and the cost is high. It cannot be classified immediately after picking. Transportation is inconvenient, which may lead to inaccurate results, thereby affecting efficiency. Therefore, based on this situation, this article simplifies and improves the large-scale sorting machine. On this basis, the design consists of conveyor belt, pressure sensor N340, stepper motor, stepper driver, MCGS HMI touch screen, air cylinder, ID551, ISD1730 language A medium-sized kiwi fruit grading control system composed of broadcast module, photoelectric switch, aluminum alloy bracket, etc. After the system runs, the kiwi fruit senses the weight through the pressure sensor, and then enters the corresponding grade box according to the weight. The fruit quality is measured according to the fruit weight, and the effect is tested better.
Research into Nose Wheel Steering Deviation Angle Calculation of a Civil Aircraft
Authors: Zhou Jia
Published: October 2020

This document, based on a civil aircraft, describes the basic principle of nose wheel steering deviation angle calculation. The taxiing deviation angle of aircraft in ground test can be balanced by adjusting the nose wheel angle, but the deviation angle cannot be read directly, it needs to be calculated according to the field data. In this paper, we research a method to calculate the deviation angle by try three different modelling: simplified point modelling, calculus modelling and trigonometric modelling. Finally, we find the third modelling is more practical, we can rectified the deviation angle by adjusting the nose wheel turning control system pre-set parameters according with the result. We also transform the mathematic modelling into a computer program, to improve the efficiency in practical use.
Design of sensorless high speed BLDCM controller for molecular pump
Authors: Li Qiang , Huang Xiaojing , Li Jian , Liu Guangmin , Tao Jizhong
Published: October 2020

The brushless direct current motor(BLDCM) of the molecular pump needs to run at high speed for a long time, which puts forward the requirements of high reliability, high speed rang and so on. The traditional sensor methods of using hall sensors for BLDCM commutation will reduce the reliability of the system and increase costs. Therefore, sensorless control methods are widely used in the field of molecular pumps. In this paper, a sensorless BLDCM control system of the molecular pump is designed, and the back-EMF zero crossing detection method is used to obtain the motor position information. Based on this method, the hardware and software of the control system are designed. Driven by the controller, the molecular pump speed can reach 90000rpm, and its steady speed fluctuation is ± 60rpm.
Research on the Development Direction of Smart Substations Under the Background of Power Internet of things Technology
Authors: Shouquan Tang , Jungang Wang , Beibei Li , Xiaoli Huang , Tao Zhang , Weihua Zhong , Zhenjie Li , Fan Li
Published: October 2020

As a key support for smart grids, the smart substation has formed a mature technical solutions after long-term development. In recent years, the internet of things technology has been applied in the whole aspects of power system transmission and distribution. Based on the extensive data collection and fusion, it has improved the state awareness, intelligent decision-making, and asset management capabilities of the power system. With the application of the internet of things technology, the development direction and technical architecture changes of smart substations are important topics that need to be considered at present. Based on the analysis of the current substation development route, this paper studies the applicability of electric power internet of things technology in smart substations, and proposes a smart substation technology solution that combines traditional technology routes and internet of things technologies, wishing to provide some reference for the research of smart substations. Chinese Library Classification Number: TM715
Analysis on Defocusing and Astigmatism of Electron Beam Selective Melting Machines
Authors: Sun Botong , Yin Bohua , Wang Pengfei , Xu Guanglu , Liu Junbiao , Han Li
Published: October 2020

Affected by defocusing and astigmatism, the quality of electron beam steadily deteriorated with increasing deflection distance, limiting the processing area of SEBM machines. The relationship among beam spot size, deflection distance and deflection direction are studied by numerical simulation, which explains the cause of decreasing power density. The experimental results show that defocus is the main factor affecting the beam spot size when the deflection distance is less than 100 mm and astigmatism is the main factor at a larger deflection distance. Then, the chessboard electron imaging experiment is carried out to verify that the spot size increases with the deflection distance. Thus, dynamic focusing and astigmatism should be introduced at the same time to minimize beam area.
Nonlinear Finite Element Analysis of Rod String in Rod Pumping System
Authors: Yan Wenhui , Qu Yinan , Xie Dong , Wu Heng , Peng Yong
Published: October 2020

Rod pumping is the main oil recovery method at home and abroad. The corresponding displacement and load of the sucker rod section are important parameters in the system. This paper uses the advantages of the finite element method to solve the three nonlinear problems in the rod string model, and establishes its finite element analysis model. According to the upper and lower boundary conditions and initial conditions, the software is used to program and calculate. The surface dynamometer card of multi-level steel rod columns and glass fiber reinforced plastics-steel hybrid rod string is predicted, and the calculation results with and without considering mass nonlinearity are compared and analyzed. The feasibility of predicting the surface dynamometer card by the finite element method is verified. It is proved that the coupling has a great influence on the mechanical properties of the glass fiber reinforced plastics-steel hybrid rod string.
Research on Application of Improved YOLO V3 Algorithm in Road Target Detection
Authors: Zhao-zhao JIN , Yu-fu ZHENG
Published: October 2020

Due to the lack of average accuracy and missed detection in the process of real road scene target detection through YOLO V3 network, the improvement scheme is put forward. The K-means clustering algorithm is used to replace the K-means clustering algorithm in the original network to analyze the anchor number and aspect ratio of the Udacity data set, in order to make the obtained parameters more suitable; in addition, in order to improve the performance of the road target detection algorithm, the existing network output is upgraded, and a 104 × 104 feature detection layer is added, and the feature map output by 8 times sampling can be output by 2 times up sampling, and 4 the feature maps of down-sampling are stitched together, and the 104 × 104 feature maps obtained can effectively reduce the disappearance of features. Through the experimental results, we can see that compared with the improved YOLOV3 algorithm, the average detection accuracy of the improved algorithm for road target detection is quite high to 3.17%, and the missing detection rate is reduced by 5.62%.
Performance analysis of double-groove cutter based on ABAQUS numerical simulation
Authors: Chen Zhimin , Chen Shunqing
Published: October 2020

In order to study the influence of double-slotted cutter on chip forming, this paper uses the general finite element simulation software ABAQUS, and builds a finite element model based on Johson-cook material model and Johson-cook fracture criterion. This paper analyzes the changes in cutting force and cutting temperature obtained when cutting titanium alloys with three different double-slot structures. This paper draws the cutting force and cutting temperature change curve at the tool tip, and analyzes and compares the post-processing results of the three geometries. The test results show that the double concave arc groove cutter has less cutting force and cutting temperature during cutting, and the cutting process is relatively stable, which is more suitable for cutting than other groove types.
Experiment and simulation research of forklift roof guard dynamic load test based on LS-DYNA
Authors: Liu Jiasheng , Peng Xuefeng , Dai Zongmiao , Wang Qingyuan
Published: October 2020

In order to solve the problems that the driver is threatened by accidental falling objects during forklift operation, according to the requirements of international standard ISO 6055:2004 for dynamic load test of forklift roof guard, the explicit dynamic calculation model of dynamic load simulation test was established based on LS-DYNA, and the dynamic load test was carried out at the same time. The maximum permanent deformation of roof guard is 13.5mm and 11.8mm, respectively, in the simulation and test results of dynamic load. The simulation analysis and test results show that this forklift roof guard has good deformation resistance and safety performance. And the data consistency is good, both of which meet the requirements of test standards. The results provide more design schemes and references for the structure of forklift roof guard.
Study on fuzzy decoupling control system
Authors: Zhao Jing
Published: October 2020

There is a strong coupling effect between the pressure and flow in the industrial process control. In order to eliminate the coupling, an intelligent control called fuzzy decoupling control is proposed. The unit matrix method is used for decoupling design, which makes the pressure and flow coupling system become two independent subsystems. The simulation results show that the fuzzy decoupling control effectively solves the pressure flow. The quantity has strong coupling effect in the control process, and the control effect is satisfactory.
Model-based Simulation and Verification on Typical Function Scenes of High-Speed Maglev Vehicle Operation Control System
Authors: Guodong Wei , Lei Yuan , Lianchuan Ma
Published: October 2020

Under the new situation, high-speed maglev transportation has gradually become the new development direction of the railway field in the future. Its vehicle operation control system (VOCS for short) as a key subsystem has a great impact on the safety and stability of the entire high-speed maglev train control system. The high-speed maglev VOCS has the characteristics of complex system structure and frequent interaction between its modules. Finding hidden safety hazards and design errors in the system design and development process and ensuring the safety and efficiency of system design and development has become an important task of related projects. On this background, modelling and simulation of typical scenarios of high-speed maglev VOCS are absolutely necessary in the early stage of project development, drawing on the traditional wheel-rail vehicle system simulation verification research results, with the help of advanced computer simulation methods. Using Simulink / Stateflow tools for the parking point stepping functional scenario as an example, the validity and correctness of the high-speed maglev VOCS were verified to ensure the operation safety of the high-speed maglev train through.
Comparative analysis of the M-out-of-N structure in EN50129:2018 and IEC61508:2010
Authors: Wang Yiwei , Wang Yixuan , Ma Lianchuan , Wen Jiakun , Zhang Fan
Published: October 2020

By comparing and analysing EN50129:2018 and IEC 61508:2010, it is found that there are differences in the meaning of the M-out-of-N structure between these two standards. The reason for the differences lays in that the M-out-of-N structure definition of EN50129:2018 is based on the required functions, while the M-out-of-N structure definition of IEC 61508:2010 is based on the dangerous failures. The 2 out of 2 structure defined by EN50129:2018 is equivalent to the 1 out of 2 structure defined by IEC 61508:2010. The 2 out of 2 structure defined by IEC 61508:2010 is equivalent to the parallel redundancy or dual hot standby structure. Further, it is found that the formula given by EN50129:2018 is not as conservative as that given by IEC61508:2010.
Research on vehicle camera calibration and ranging technology based on texture features
Authors: Wang Cai , Cui Bifeng , Zhu Yanxu , Zhang Yuhang , Li Qixuan , Wei Zhao
Published: October 2020

In order to realize the ranging function of the vehicle monocular camera on unstructured roads, it is proposed to use the method based on texture features and soft voting to detect the vanishing point of the road and the road edge, and use camera calibration method and tri-linear method to obtain the internal and external parameters of the camera. Obtain the distance information in the image according to the geometric relationship model. Experiments show that this method can measure the distance of an unstructured road image with only the centerline of the road relying only on the vehicle monocular camera. The method has a wider application range and is simpler in actual engineering.
Development of Optical Fiber Strain Calibration Device
Authors: Bo Tao , Hu Jiacheng , Minghao Zhu , Pengfei Cao , Jiejun Lin , Xiaoyan Shen
Published: October 2020

The Brillouin distributed sensing system is sensitive to the crossover between strain and temperature. The temperature and strain can be measured simultaneously through decoupling. However, there is no suitable method to calibrate and trace the strain measurement. Therefore, a method of calibrating fiber strain by grating ruler is proposed, the decoding circuit of grating ruler is designed, and the calibration device of optical fiber strain is built. The experimental results show that the uncertainty reaches 5.90 μm (k = 2) in the range of 0 ∼ 1000 μm, and the measurement of optical fiber strain can be traced back to the national length standard.
Research and Design Based on Smart Street Lights Network and Adaptive Dimming Method
Authors: Hu Yu , Wu Jian , Shi Tiantian , Ding Lei
Published: October 2020

In order to respond to the call of "smart city" and combine the actual demand of urban road lighting, this paper studies and designs a network based on smart streetlights and adaptive dimming algorithm. In order to improve the efficiency of data transmission in the smart street lamp monitoring network, an unequal clustering topology control algorithm based on band network (UCTC-BN) is proposed to establish a band topology for data Communication. When selecting the cluster head nodes, the algorithm adopts the candidate cluster head mechanism, and the candidate cluster head determines the non-uniform competition radius according to the remaining energy of the nodes and the distance from the sink nodes, thus achieving the goal of balancing the network energy consumption. In view of the low intelligence of street lights dimming and poor energy saving effect, an improved self-adaptive dimming algorithm based on K-means++ and DAG-SVM is studied, the light and traffic volume are clustered and six-classification dimming model is constructed to realize the intelligent dimming of street lights. Experimental results show that the system can efficiently transmit environmental data and comprehensively adjust street lamp lights, effectively reducing street lamp power consumption.
Research on the demand prediction of parts inventory for auto customer service
Authors: Zeng Rong
Published: October 2020

In order to optimize the inventory of auto aftermarket parts, the second weighted moving average method is used to forecast the demand of auto aftermarket parts. Compared with the traditional weighted moving average method, the results show that the improved method is better than the traditional method.
The Committees of the 2nd International Seminar on Applied Mathematics and Mathematics Education (ISAMME) 2020
Authors: Hidayat W , Widodo S A , Prahmana R C I
Published: October 2020

List of Organizing Committee, Steering Committee, Advisory Editorial Board, Scientific and Reviewer Committee are available in the pdf.
Application of the constructivism approach to improve students’ understanding of multiplication material
Authors: Altaftazani D H , Rahayu G D S , Kelana J B , Firdaus A R , Wardani D S
Published: October 2020

This research is motivated by the low ability of students’ understanding of concepts in learning mathematics multiplication material. Mathematics learning requires a learning approach that can make students active and student-centered. If mathematics learning is not student-centered, it will lead to boredom which will ultimately make learning unattractive. Therefore, the researcher chose the constructivism approach to improve student learning activities and understanding students’ concepts. This study uses classroom action research and was conducted at SDIT Altaftazani. The results of this study, it appears that student learning activities increase. Students become more active in learning, besides that formative test results also show a good level of student understanding of 35.7% is very good, 35.7% is good and 17.8% is sufficient and only 10.8% is still lacking.
The effect of online mathematics learning on junior high school mathematic resilience during covid-19 pandemic
Authors: Amelia R , Kadarisma G , Fitriani N , Ahmadi Y
Published: October 2020

Covid-19 Pandemic has changed all sectors, one of which is the system in education. Teachers and students are required to learn from home through online learning, it affects the mathematical resilience of students. This research is motivated by the number of findings of decreased student resilience in learning mathematics. The purpose of this study is to examine: (1) Steps of online learning by teachers (2) Mathematical resilience of students during online learning (3) students responses for online learning. The method in this research is descriptive qualitative, the sample selected as many as 4 teachers and 6 students with high, medium and low abilities in one junior high school in Cimahi. Data collection techniques used questionnaires for students to study students ‘mathematical resilience during online learning, interviews to examine students’ responses to online learning, and interviews and observations with teachers to analyze the steps of online learning that were carried out. The results of the study show: 1) The online learning process begins with handouts through Google Classroom, followed by an explanation of the material using a zoom meeting and assignments through the Google Classroom (2) Student resilience of mathematics is high during online learning. (3) students give positive responses for online learning.
Adversity quotient of prospective primary school teachers in making scratch-assisted math application
Authors: Ruqoyyah S , Ristiana M G
Published: October 2020

The adversity question is one of the success factors in learning mathematics. This research is motivated by the low adversity question of students. The purpose of this research is to describe the picture of student adversity in making scratch-assisted mathematics applications. This research uses the descriptive qualitative method. Subjects studied were 107 prospective teachers of semester 2 elementary school in one of the private tertiary institutions in Cimahi City. The instruments in this study used non-tests in the form of questionnaires and interviews. The results showed that the majority of prospective elementary school teacher students were still in the camper category. Adversity question of students in making scratch-assisted mathematics applications needs to be improved. This is because there are still many students difficulties in making algorithms around logical thinking, determining ideas for later application in mathematical application concepts. Students must go deeper into mathematical concepts and have to learn more about adversity quotient because students will need them when they are already working.
The influence of learning styles on students’ mathematical critical thinking skills in solving trigonometric problems
Authors: Setiawan W Y , Rosita N T , Putra B Y G
Published: October 2020

The purpose of this study was to determine the effect of student learning styles on the ability to think critically mathematically in solving trigonometric problems. The target population for this ex post facto study is 27 students of class X MIPA at MAN 1 Sumedang school. The results showed that there was no influence of learning styles on students’ mathematical critical thinking abilities.in this study. There is no difference in the ability to think critically mathematically between students who have a visual learning style with auditory, visual with kinesthetic, and auditory with kinesthetic. This finding has implications for teachers. Teachers need to focus attentively on strategies that target students with visual, auditory, and kinesthetic learning styles. By gaining a better understanding of student learning style groups, it is possible that strategies, methods, approaches, and teaching techniques that can be used to assist in the development of mathematical critical thinking skills and other important abilities can be identified and improved.
Exploring ethnomathematics activities to tobacco farmers’ community at Jember, East Java, Indonesia
Authors: Suwarno  , Lestari N D S , Murtafiah W
Published: October 2020

This research aims to explore and describe the ethnomathematics on activities of the tobacco farmers’ community at Jember. The discourse that explained ethnomathematics could be related to tobacco’s farmer activities at Jember East Java, Indonesia. Jember was one of the largest tobacco-producing districts in East Java, Indonesia. These plants were grown for generations by some residents at Jember, East Java, Indonesia. The tobacco farming heritages had caused this district is known as the city of tobacco so that the government of Jember made tobacco motifs as batik of Jember. Besides, the dance Jember named Lambaco also be created as an appreciation for the existence of tobacco. This research uses qualitative research, while the approach used is Ethnographic. The data collected by observation and interview involved several farmers. Based on result and discussion, we can conclude that on tobacco farmer community in Jember, there are many activities; giving a unit of land, seeding, transplanting and cultivating, harvesting, curing, and trading involved ethnomathematics activities such as: using of non-standard units, arithmetic concept (computing, addition, multiplication, subtraction), geometrical concept, especially of rectangular shape, triangular shape, perpendicular line, 3-D shape, proportional and relational concept, statistics (estimating)
Algebraic literacy skills of secondary school students
Authors: Angriani V , Herman T , Nurlaelah E
Published: October 2020

The focus of this study is the mathematical literacy in the change and relationships section of the algebra and its use, which is called algebraic literacy. This study aims to obtain a description of algebraic literacy skills of VII grade students, it is analysed based on the mathematical literacy levels and indicators. This study is descriptive qualitative. The participants included 72 students from three secondary schools in Bandung. The data were collected using a test and interview. Based on the analysis, the students’ algebraic literacy skills are found to be low, at levels 1, 5, and 6, due to the lack of understanding of the relationship between arithmetic and algebra, the more complex of problem-solving questions, the structured questions with nonroutine type, and the students’ inaccuracy in formulating situations. Moreover, the achievement of ‘formulate’ and ‘interpret’ indicators are found to be lower since the students are less familiar with the concept of symbols used as the substitute for varying quantities, and are less able to contemplate the algebraic solutions, thus the problems cannot be interpreted properly.
The understanding of the triangle in Lobachevski geometry through local culture
Authors: Widada W , Herawaty D , Hudiria I , Prakoso Y A , Anggraeni Y R , Zaid Nugroho K U
Published: October 2020

A triangle is an abstract object in Lobachevsky’s Geometry. The local content is needed as a starting point for learning geometry. This study aims to describe student’s understanding of triangles in Lobachevsky Geometry through local culture. This is an exploratory study. The focus is on analyzing the needs of student’s ability to understand the properties of Lobachevsky’s geometry. The subjects of this study were mathematics education students in Bengkulu, Indonesia. In-depth interviews are based on assignments about triangular problems. The problem is taken from the culture of Bengkulu society about “glutinous rice cake”. Data were analyzed through a collection of interviews and other physical activity. The results of this study are the subjects can connect the elements together to form a coherent unity based on observations of sticky rice cake. They produced a new product by organizing several elements into different forms or patterns from before, namely triangles with a large number of angles of less than 180. The conclusion of this study is that student’s understanding of triangles in Lobachevsky Geometry has reached the level of creating a new proposition, namely the number of angles in triangles in Lobachevski Geometry is less than 180.