bluuebunny/crossref_metadata_2025_split huggingface dataset:
Collision-free control strategy for on-ramp merging: A spatial-dependent constraint following approach
Authors: Tianchuang Meng , Zhanyi Hu , Jin Huang , Diange Yang , Zeyu Yang , Zhihua Zhong 
Published: April 2022

Abstract
This paper focuses on the problem of on-ramp merging control under the cooperation of intelligent and connected vehicles. A decentralized collision-free control strategy is proposed for on-ramp merging control. Each vehicle in the virtual platoon constructed by all vehicles on the arterial road and the on-ramp is equipped with a spatial-dependent constraint following controller. Under nonlinear vehicle dynamics, the proposed controller is proved to be uniformly bounded, thus assuring that each vehicle can satisfy the safety requirements to avoid collision at any specific spatial location, especially at the most dangerous merging point. Compared with time-dependence, this spatial-dependence means much more stability because spatial conditions during the on-ramp merging process are more static and invariant. Finally, a simulation containing six vehicles with relatively extreme testing conditions is conduct to validate the effectiveness of the proposed approach. The results demonstrate that the spacing errors can converge to 0 with respect to varying spatial-dependent desired spacings. The spacing errors of the six vehicles are kept at a relatively low level with a maximum value of 3.0778m. The maximal acceleration is 0.6060 m/s 2 and the maximal deceleration is -1.4042 m/s 2. All vehicles can achieve collision-free safety for on-ramp merging with a smooth and non-saturated control input generated by the proposed controller.
Design of Home-use Fire Fighting Robots and Research on Automatic Control System
Authors: Ma Yuchen , Zhang SiYang , Wang Yifan 
Published: April 2022

Abstract
Responding quickly to fires, reducing secondary disasters and ensuring the safety of life and property are important issues in firefighting. With the progress of science and technology, firefighting robots have entered people’s sight. Based on this, this paper proposes a home-based firefighting robot to reduce fire losses. The home-type firefighting robot is equipped with a walking system and a clamping device. ANSYS software is used to perform finite element analysis on key components to verify the rationality of the structural design. The program mainly uses the PWM module in the K60 chip, and the I/O module is designed. CCD is used for image acquisition and K60 microprocessor. The classical PID control algorithm is still used to make the fire robot achieve the effect of smooth and fast movement. The incremental PID algorithm is used to realize the fast response of the motor.
Integrated decision and control at multi-lane intersections with mixed traffic flow
Authors: Jiang Jianhua , Ren Yangang , Guan Yang , Eben Li Shengbo , Yin Yuming , Yu Dongjie , Jin Xiaoping 
Published: April 2022

Abstract
Autonomous driving at intersections is one of the most complicated and accident-prone traffic scenarios, especially with mixed traffic participants such as vehicles, bicycles and pedestrians. The driving policy should make safe decisions to handle the dynamic traffic conditions and meet the requirements of on-board computation. However, most of the current researches focuses on simplified intersections considering only the surrounding vehicles and idealized traffic lights. This paper improves the integrated decision and control framework and develops a learning-based algorithm to deal with complex intersections with mixed traffic flows, which can not only take account of realistic characteristics of traffic lights, but also learn a safe policy under different safety constraints. We first consider different velocity models for green and red lights in the training process and use a finite state machine to handle different modes of light transformation. Then we design different types of distance constraints for vehicles, traffic lights, pedestrians, bicycles respectively and formulize the constrained optimal control problems (OCPs) to be optimized. Finally, reinforcement learning (RL) with value and policy networks is adopted to solve the series of OCPs. In order to verify the safety and efficiency of the proposed method, we design a multi-lane intersection with the existence of large-scale mixed traffic participants and set practical traffic light phases. The simulation results indicate that the trained decision and control policy can well balance safety and tracking performance. Compared with model predictive control (MPC), the computational time is three orders of magnitude lower.
The invention relates to a small logistics handling trolley based on omni-directional wheel movement
Authors: Yang Xinyu 
Published: April 2022

Abstract
Through the research and analysis of the existing gantry crane and cantilever crane to unload and transport goods, at the same time the application of the characteristics of triangular stability, a combination of the advantages of the three; A triangular omnidirectional cantilever crane is designed and developed by using electric push rod instead of rope lifting and the most basic triangular body.
Research on slope monitoring based on array inclinometer technology
Authors: Xing Yuxuan , Li Xisheng , You Jia , Shu Xiongying , Hu Tao , Zheng Cheng Cai 
Published: April 2022

Abstract
Based on the requirement of slope stability monitoring, an inclinometer with MEMS accelerometer array is designed. The inclinometer consists of a control module based on STM32 and a measurement module based on triaxial accelerometer. When the slope is displaced, the position of the accelerometer changes in space, and the accelerometer generates an output, which is sent to STM32, then calculated and converted to realize the attitude analysis. Finally, it is sent to the upper computer through the 485 bus. The equipment uses the attitude analysis algorithm based on Euler angle and vector superposition method to realize the two-dimensional image representation of slope inclination.
Research on the position and attitude control method of the spatial arc for a five-axis hybrid tapping robot
Authors: Wu Taiyu , Gu Jin , Zhang Yawei , Zhang Bin 
Published: April 2022

Abstract
Automatic rubber harvesting can not only reduce the cost of latex production, but also stabilize the output and improve the production efficiency. In order to lay the foundation for the movement of the robot around the tapping trajectory and meet the performance requirements of the robot in the tapping operation, this paper studies the position and attitude interpolation algorithm of the spatial arc for a five-degree-of-freedom hybrid tapping robot to realize the synchronous motion of the spatial arc pose control. In the verification test, the tip of the pen installed at the end of the robot draws a coherent clear arc in the space. The end vector is perpendicular to the normal vector of the arc trajectory and keeps pointing to the center of the trajectory at the same time, which verifies the correctness of the position and attitude control method.
Design of Embedded Line Galloping Monitoring System Based on Wireless Communication Technology
Authors: Gong Yu , Dai Yunfeng , Liu Anhong , Chen Wen , Xu Feng , Zhao Yiyi 
Published: April 2022

Abstract
In order to meet the requirements of multi-measurement nodes and high temperature resistance, this project draws extensive experience from relevant industries based on the relevant requirements. A bus temperature measurement system based on two-bus technology is developed. The system is based on two buses and combines OFDM technology to modulate signals on carriers with different frequencies. Through parallel transmission, the original signal is demodulated using differential coherent demodulation. The simulation results show that the system can effectively deal with channel signal interference.
A new method for automated driving image defogging based on improved dark channel prior
Authors: Huang Shanshan , Qin Haoxing , Li Qingchao , Yuan Hua 
Published: April 2022

Abstract
To tackle the problem of blurred image subjects due to haze in the images captured by the automatic driving system, which affects the safety of automated driving, a new, improved dark channel image defogging method based on adaptive domain dark channel calculation, fast bilateral filtering to optimize transmittance and automatic color equalization is proposed. First, map the original image based on the haze image degradation model and evaluate the atmospheric light intensity and transmittance based on the adaptive domain. Then, the atmospheric transmittance is optimized by combining the powerful value filtering with the fast bilateral filtering method. Finally, the image is further optimized by using the multi-channel automatic color gradation equalization method to solve the phenomenon of oversaturated color and dark brightness in the filtered image. The results show that the algorithm of this paper has high clarity and contrast, reduces the computation and running time, preserves the image edge information, has an excellent fog removal effect, and is highly adaptive for automatic driving image processing.
Research on braking dynamics of multi-axle vehicle
Authors: Yan Yan , Chen Xu , Wang Wenzhe , Hang Peng , Chen Haishan , Liu Jinbo 
Published: April 2022

Abstract
Braking dynamics is an important part of longitudinal dynamics. Through the analysis of braking performance of multi-axle vehicles, we can deepen our understanding of longitudinal dynamics. Starting from the braking dynamics analysis of the whole vehicle, this paper proposes to establish the braking dynamics model of multi-axle vehicle by using the suspension deformation coordination equation, so as to calculate the general calculation formula of ground reaction force of multi-axle vehicle when braking. The brake force distribution of 4-axle brake is analyzed to verify its rationality and provide basis for multi-axle brake design.
Research on multi-functional intelligent ventilator based on UC/OS-III operating system for gas concentration detection
Authors: Ren Ziqiong , Yu Haoze , Wang Shuaifeng , Li Jinwei , Huang ShuangXi , Guo Yeyong 
Published: April 2022

Abstract
In order to change the traditional gas concentration inspection and exhaust device, the system through the gas concentration to control the rotation of the fan, to achieve real-time gas concentration monitoring, alarm control and GPS global positioning. In this study, STM32F4ZGT6 with ARM Coretex-M4 as the core controller is combined with embedded system design, and MDK is used to develop software programming. Through the ADC MQ-9 carbon monoxide sensor detection module and infrared NDIR carbon dioxide sensor detection module of the output of the analog conversion to digital quantity acquisition and processing, when the gas concentration exceeds the pre-set threshold, triggering a buzzer alarm, timer and the energy conservation and exhaust fan work, implementation is beyond the rapid circulation of the gas and gas concentration inside and outside the display of the time.Through bluetooth and mobile phone connection, real-time check of gas concentration, using the upper computer to control the operation mode of exhaust fan and change the gas concentration threshold. Modular programming is adopted in this study to improve the maintainability and facilitate debugging and modification in the later stage of the study. Through practical verification, the system can realize the detection of carbon monoxide and carbon dioxide concentration, real-time alarm monitoring, GPS positioning and change exhaust fan working mode and other functions, with real time, practicality and reliability.
Design of wireless voice transmission system based on nRF52833
Authors: Xue BaoBao , Wang ZhiFeng 
Published: April 2022

Abstract
This article chooses pulse density modulation, 2.4GHZ radio frequency, I2S bus nRF52833 chip as the central processing unit to develop the wireless audio transmission system. And carry on the theoretical design and analysis to the hardware module and software module of the whole system, and test the RF distance and power consumption, as well as the audio delay and fidelity, basically realise the design of the wireless voice transmission system based on nRF52833.
Design of a phased array with a beam scanning functionality based on the arithmetic phase difference
Authors: Fan Haifeng , Zhang Yiming , Wang Xuhong , Gao Junxia 
Published: April 2022

Abstract
The demand for phased array antennas increases not only for the traditional military industry but also in commercial areas such 5G mobile network platforms, Internet of Things (IoT), and satellite communication applications. In this paper, a phased array with beam scanning function is designed based on arithmetic phase difference between array elements. In the design process, the initial complex model is simplified into a simple element model with periodic conditions, which makes the analysis faster and more efficient. Finally, two phased array designs based on microstrip patch antenna are studied, and the simulation results verify the correctness of the design method.
Rolling bearing fault diagnosis method based on OSFFDM and adaptive multi-scale weighted morphological filtering
Authors: Huang Siqi , Wang Xinglong , Yang Siguo , Tan Zhiyin 
Published: April 2022

Abstract
The Order-statistic filtering Fourier decomposition (OSFFDM) is a decomposition method that obtains components of different frequency bands by pre-processing the Fourier spectrum. The OSFFDM method overcomes the problem of a large number of invalid components in FDM. However, OSFFDM only considers the frequency band search problem, and does not really solve the interference problem of noise and irrelevant components. To solve this problem, a bearing fault diagnosis method named OSFFDM and adaptive multi-scale weighted morphological filtering (AMWMF) is proposed. First, the order-statistic filtering and smoothing methods are used to fit the envelope trend term of the Fourier frequency spectrum of the raw signal. Second, according to the envelope trend, a series of single components are obtained through the idea of segmentation and reconstruction. Then, the AMWMF is used to filter the component with the maximum kurtosis value. Finally, the envelope spectrum is used to analyze the filtered signal. In the analysis of the actual collected bearing vibration signal, the diagnostic results of the combination of OSFFDM and AMWMF and existing methods such as EMD and FDM are studied and compared. From the comparison results, it can be observed that the OSFFDM and AMWMF method can effectively identify bearing fault information. By calculating the signal-to-noise ratio (SNR) of the optimal component, the proposed method has a higher SNR, that is, less noise interference. The comparison of the diagnosis results further verifies the effectiveness and superiority of the OSFFDM and AMWMF method.
Research and Application of the Network Security Monitoring Capability Evaluation Model of Power Control System Based on AHP and Fuzzy Comprehensive Evaluation
Authors: Wang Penghao , Wang Shaobo , Chi Lijun , Ren Xiaokai , Wu Wei , Cheng Wenjie 
Published: April 2022

Abstract
In recent years, China’s cyberspace security is facing increasingly severe challenges. As the national key basic information infrastructure, power control system is very important which is related to the national economy and the people’s livelihood. So network security of power control system should be taken seriously. The network security monitoring capability of power control system has a direct impact on the security of power business such as power production and supply. However, there are few studies on the evaluation of its network security monitoring capability. This paper puts forward the network security monitoring capability evaluation model of power control system based on AHP and fuzzy comprehensive evaluation, according to the research of public network security management capability evaluation, the particularity of network security monitoring system of power control system and the investigation opinions of 20 expert teams in power industry’s network security field. Then, the model is used to evaluate the network security monitoring capability of three municipal power control systems, and the final scores are 93.09, 88.65 and 90.17 respectively. The model established in this paper realizes the quantitative evaluation of the network security monitoring capability of the power control system. And it will help the power company to carry out targeted rectification and improvement according to the calculating result of this model. So the research and application in this paper has a certain practical engineering significance.
EMI Analysis of a Switching Power Supply
Authors: Li Leixin , Zhang Xiangjin 
Published: April 2022

Abstract
Switching power supply is easy to produce electromagnetic interference in the working process. Switching power supply is both an interference source and a sensitive device. Therefore, the boost circuit of switching power supply is modelled and simulated. It is concluded that the surge current and peak voltage generated by the boost circuit are the main causes of electromagnetic interference. According to the reasons, the electromagnetic interference suppression measures are proposed. It mainly includes three measures, namely adding capacitors at both ends of the switching tube, adding a filter circuit at the low voltage input end of the switching power supply, adding an optical coupler equipment and adding a common-differential-mode synthetic choke coil filter. These measures all effectively reduce the influence of electromagnetic interference of the switching power supply, and they are beneficial to improve the reliability of the switching power supply.
Fault analysis caused by short circuit current DC component Related to circuit breaker
Authors: Wu Tianbo , Yue Yunkai , Duolikun Diliyaer , Chen wentao 
Published: April 2022

Abstract
Concerning a 750kV power plant circuit breaker refused to move accident, combined with the action process of accident circuit breaker and the waveform of fault current, analyze the cause of the breakout of the circuit breaker. This paper described the process of the accident from four stages and analyzed the fault waveform in detail. The result shows that the circuit breaker in the DC converter station recloses when the current of circuit breaker in power plant reaches the maximum reverse. The recloses of the circuit breaker in the converter station causing the power plant of the circuit breaker to produce a larger DC component and the DC component caused the short-circuit current-zero offset of the circuit breaker in power plant and the breaker on the power plant side failed to open due to no zero crossing. The simulation result shows that the circuit breaker of power plant does not appear DC component while the reclosing time of the circuit breaker in the DC converter station ahead of 5ms. It verifies that the analysis results are correct.
Grounding fault test technology of distribution network based on zero sequence power direction judgment
Authors: Guo Linyun , Wu Qiong , Yuan Zehong , Tao Zhaoyu 
Published: April 2022

Abstract
Distribution network grounding fault testing technology relies on a single criterion, which has a positioning blind area, resulting in large ranging error. In this paper, a grounding fault test technology for distribution network based on zero sequence power direction determination is proposed. The direction from the power supply side to the load terminal is specified as the positive direction of the network, the fault equivalent zero sequence current is modeled, and the high-frequency component of transient zero sequence current containing main fault characteristics is extracted. The fault line is determined based on the zero sequence power direction. For the fault line, the zero sequence power is less than zero, and the absolute value is much greater than the normal line, and the line selection device can select the line normally. The grounding fault test model of distribution network is established, and the fault current difference of each measuring point is calculated. When the difference is the smallest, it is identified as the fault location. The average ranging error of the test technology based on zero sequence power direction determination is 50.68m, which is 20.24m and 23.55m lower than that based on wavelet analysis and EMD. Therefore, it can accurately determine the fault line and has strong positioning advantages.
Research on Fault Location of SF6 Circuit Breaker Relay Coil Based on Traveling-Wave Reflection Method
Authors: Qian Shuaiwei , Wang Lu , Chen Jianxi , Peng Yanjun , Pan Ningbo , Huang Yongqiang , Zhou Xiong 
Published: April 2022

Abstract
—The traveling wave-reflection method is proposed to locate the short circuit fault of the opening/closing coil of the circuit breaker, the capacitance and inductance matrix of the opening/closing coil are calculated by finite element simulation, and the wave impedance model of the coil is established based on ATP-EMTP. A low-voltage square wave pulse signal is injected into the head end of the winding to detect the characteristic curve of the reflected wave when an inter-turn short-circuit fault occurs. The generalized fractal dimension of reflection wave characteristic curve was calculated and its variation as the position of short circuit change was analysed. Compared with box dimension, the variation of information dimension and correlation dimension are more obvious, thus information dimension and correlation dimension are selected as inpus, and the evaluation model of inter-turn short circuit position is established based on probabilistic neural network.
Research on inter-turn short circuit fault location of SF6 circuit breaker energy storage motor coil based on traveling wave reflection method
Authors: Qin Jian , Peng Yanjun , Wang Lu , Wang Jianxi , Pan Ningbo , Huang Yongqiang , Zhang Xiaohui 
Published: April 2022

Abstract
—The traveling wave reflection method is proposed to locate the inter-turn short circuit fault of the circuit breaker energy storage motor coil. The capacitance and inductance matrices of the energy storage motor coil are calculated by finite element simulation, and the wave impedance model of the coil is established based on ATP-EMTP. The low-voltage square wave pulse signal is injected at the winding head to detect the characteristic curve of reflected wave when inter-turn short circuit fault occurs. The variation law of generalized fractal dimension of reflection wave characteristic curve with short circuit position is analyzed. The short-circuit position is evaluated based on BP neural network, and the evaluation accuracy is 100 %, indicating that this method is feasible.
Fine-Grained Image Classification based on Self-attention Feature Fusion and Graph-Propagation
Authors: Pan Chen , Wu Wei 
Published: April 2022

Abstract
The goal of FGVC is to distinguish different subclasses under the same common class. Because data sets often have large intra-class differences and large inter-class similarity, FGVC is more challenging than traditional image classification. Previous work focused on mining salient regions in images and directly utilizing their features, but ignored that the features of regions are semantically related and the regional groups have stronger differences. In order to solve the above problem, we propose a FGVC method based on self-attention feature fusion and graph-propagation, consists of two branches, one of the branch based on the characteristics of map mining granularity characteristics of image, another branch study the inner semantic relevance between the regional characteristic vecto named CFSM, by iteration to enhance information elements and suppress useless element to improve the ability to recognize. A large number of experiments have proved the effectiveness of the proposed network, which has good accuracy and efficiency on the three benchmark data sets of Stanford Cars, FGVC-Aircraft and CUB200.