bluuebunny/crossref_metadata_2025_split huggingface dataset:
Study on Single Event Transient Pulse Characteristics of 16nm SOI FinFET Devices
Authors: Yang Shao-Hua , Lin Qian , Zhang Zhan-Gang , Peng Chao , Wu Fu-Gen 
Published: December 2022

Abstract
In this paper, the single event transient (SET) characteristics of the advanced 16 nm SOI FinFET device are investigated. The impacts of five different variables on the SET response of the 16 nm SOI FinFET device are investigated, including the incident position, particle LET value, particle characteristic radius, incident angle, and drain bias. It is found that 1) unlike traditional planar devices, the SET shape of the 16 nm SOI FinFET device changes significantly. The “SET tail” caused by charge diffusion disappears, the SET time width is at the magnitude of tens of ps, and the total collected charge is at the magnitude of fC. 2) The most sensitive region of SET is the center of the gate. Under the condition that the incident position is the center of the gate, the amount of collected charge is 1.33 times that of the center of the drain. 3) Under the premise of the same LET value, the larger the radius of the particle, the smaller the SET amplitude generated, due to the entire electron-hole pairs participating in the SET response with a smaller radius. 4) The larger the incident angle of the particle, the smaller the SET amplitude generated by the FinFET device. When the incident angle is 45°, the amount of charge collected at the drain is only 0.23 times that of the normal incidence. 5) Changing the drain bias of the device results in a nearly constant SET curve, which is one of the features that distinguishes the FDSOI device from other devices.
Study on the Kinematics of Key Components of Film Bidirectional Synchronous Stretching Equipment
Authors: Pan Mingyu , Wang Zheng 
Published: December 2022

Abstract
In this paper, the stretching chain clamp model in the film synchronous biaxial stretching equipment is simplified. And we establish the kinematic model. The variation rule of kinematic parameters of each joint of the chain clamp during the film stretching process is obtained. We use ADAMS software to inverse the trajectory of the stretching chain clamp to get the theoretical track and optimize the stretching rate of the stretching chain clamp. We compare the theoretical track with the initial stretching track model, optimize of stretching system structure, and achieve reliability and stability requirements for stretching chain clamp movement. This is important for the design of the stretching system and the improvement of film stretching quality.
Three State Output Module and Digital Switch Circuit Based on Threshold Memristor
Authors: Li Shuo , Pan Nan , Gao Sen , Li Lei 
Published: December 2022

Abstract
A memristor is a new electronic device with small volumes and small fluctuations. As a two-terminal device, it is mainly characterized by non-volatility and nanoscale characteristic size. Memristors can also calculate and store at the same time, which has a broad application prospect in logic circuits. Traditional integrated circuit technology has been very mature. And CMOS technology has almost reached the limit of physical size. Compared with traditional circuit components, memristor devices are compatible with CMOS circuits with their fast computing speed, low power consumption, and small layout area. A three-state output module based on a threshold memristor is proposed. The structure includes an inverter, a PMOS tube, two NMOS tubes, and two threshold memristors. Compared with the traditional three-state gate which only uses CMOS technology, the circuit area required by the module is smaller and the overall power consumption is lower, which caters to the development trend of portable and low-power electronic devices. Then the digital switch circuit using this module is introduced, which provides a new idea for the data transmission circuit. The circuit and module are simulated and verified by LTspice software.
Analysis of Influence of Permanent Magnet Demagnetization on Motor Temperature Rise
Authors: Zhao Pan , Yu YinQuan 
Published: December 2022

Abstract
Permanent magnet (PM) motors have high power density and difficult heat dissipation, especially when the PMs have demagnetization faults, which will increase the temperature rise of the motors. In this paper, the magneto-thermal coupling simulation analysis of the PM motor is carried out by the finite volume method, and the influence of different demagnetization degrees of PM demagnetization on the temperature rise of the motor is studied. The simulation results show that as the degree of demagnetization increases, the temperature rise of the motor increases significantly. If the temperature of the PM reaches the maximum working temperature, the demagnetization of the PM will continue all the time.
Enhancing the Photovoltaic Performance of Perovskite Solar Cells by Doping 2-mercaptoimidazole in the Active Layer
Authors: Chen Shuming , Wang Jintao , Li Ye , Zhang Jian , Duan Yu 
Published: December 2022

Abstract
Organic perovskite solar cells (PSCs) is concerned due to their photoelectric performance, low price, and solution treatable. However, there are defects in perovskite crystals that affect the power conversion efficiency (PCE) improvement. These effects include carrier transport, the morphology of the film surface, etc. Passivation is a reliable solution to reduce defects in crystals. We doped 2-mercaptoimidazole (2-MI) in the perovskite active layer to obtain efficient perovskite solar cells, the PCE of organic PSCs with 2-MI reaches 18.26%, which is effectively improved compared to the original device (17.58%). This work provides a new strategy for efficient PSCs.
Research on the Temperature Performance of a Lithium-Iron-Phosphate Battery for Electric Vehicle
Authors: Cheng Fuqun , Wu Jiang , Wang Hongyan , Zhang Huiyang 
Published: December 2022

Abstract
To improve the cruising range and mobility of EVs, various traction batteries (TBs) have been studied and widely used in China. The operation of EVs is difficult because of the reduction in the capacity resulting from the low temperature. A computer model of an electric vehicle power battery is proposed in this paper to study the effect of temperature on battery performance parameters. The variation of EV battery parameters (voltage, current, capacity) with temperature will be discussed, The change of EV battery parameters (voltage, current, capacity) with temperature will be discussed. Experiments at different temperatures have been constructed to verify the accuracy of the model.
A CO2 Concentration Detection Platform and Temperature Compensation Method Based on Zynq Series SoC
Authors: Du Peng Yuan , Tang Yi Fan , Lv Si Tao , Zhou Guo Fu , Bai Peng Fei 
Published: December 2022

Abstract
Aiming at the problem of low flexibility and poor scalability of Non-Dispersive InfraRed method CO2 concentration detection equipment, a CO2 concentration detection platform based on Zynq series SoC is designed. The platform adopts the idea of hardware-software co-design, which integrates the functions of signal acquisition, time domain filtering, mode control, and data integration, simplifying the hardware design and improving the functional scalability of the system. The platform completes the automatic calibration and temperature compensation and realizes the accurate real-time calculation of CO2 gas concentration. The detection error can be controlled within ±78 ppm in the temperature variation range of 10–60 °C and the measurement range of 0–5000 ppm. The platform is designed with high flexibility, good detection stability, small detection error, little influence by temperature, and strong scalability. It can be organically combined with artificial intelligence, intelligent sensing, and other technologies and has good application prospects.
Performance simulation analysis of new train control system safety communication protocol based on Matlab/SimEvents
Authors: Jing Zhiqiang , Li Kaicheng , Wei Guodong , Liu Yu 
Published: December 2022

Abstract
The vehicle-ground safety communication of the New Train Control System adopts a brand-new underlying network and a communication mechanism of safe and reliable transmission. Based on the GPRS packet switching network, the data link layer adopts the PPP protocol, and the TCP protocol is adopted in the transmission layer to provide reliable transmission services. According to the GPRS network service quality index and the retransmission mechanism of the TCP protocol in the transport layer, this paper adopts the Matlab/SimEvents discrete event simulation method and uses the entity as the communication carrier to conduct a hierarchical and modular system-level modeling of New Train Control System vehicle-ground communication protocol. It simulates the communication process of the message from the application layer, the security layer to the transport layer, and finally transmitted on the GPRS network channel with random delay and packet loss probability. From the quantitative point of view, this paper analyzes the safety connection establishment time and success rate of the new train control system vehicle-ground wireless communication under different channel conditions, the timeliness of the non-periodic message receiving a reply to complete the specific scene function, and the reliability of the periodic message receiving delay. The analysis results show that the new train control system vehicle-ground wireless communication adopts GPRS network and TCP protocol retransmission mechanism to improve the real-time and reliability of communication.
Signal modulation system measuring device
Authors: Gao Zekun , Zhao Xuewen , Ji Mingzhi , Zhou Miaolan , Feng Chenhui 
Published: December 2022

Abstract
The design can measure and display other parameters such as the modulation system of the measured signal output by the signal source, identify and display the modulation mode of the measured signal, and output the demodulation signal. The measurement module is composed of an automatic gain amplifier circuit, a broadband amplifier, a low-pass filter circuit, a DDS signal generation circuit, an amplification circuit, and a display circuit. The working principle of the signal modulation measuring device is that the demodulated AM signal is obtained after the spectrum is transmitted by the multiplier, and the high-frequency signal is filtered out by the low-pass filter and amplified by the fixed gain amplifier. After the amplification circuit, the output waveform is sampled by the onboard ADC of MSP432E401Y, and then the fast Fourier transform is performed to obtain various parameters, which are finally displayed on the serial screen.
Simulation of Metal Surface Crack Detection of RFID Tagantenna
Authors: Zhang Shuang , Zhai Wencheng , Hou Daishuang 
Published: December 2022

Abstract
In view of the current situation of the traditional non-destructive testing technology for metal components, which is characterized by bulky equipment, slow detection speed, small detectable range, and low automation, a method based on the combination of microstrip antenna characteristics and radio frequency technology is proposed to design a microstrip RFID tag antenna based on microstrip antenna characteristics. By calibrating the position of the RFID reader with the tag antenna and the power of its transmitting antenna, the resonant frequency of the tag antenna is affected when cracks exist on the metal surface, resulting in a change in the recognition distance of the RFID system, thus realizing the detection of cracks on the metal surface. The antenna structure is optimized using the HFSS software to simulate the antenna in the presence of cracks on the metal surface, and the simulation results are found to be effective for metal surface crack detection.
Isometric Layering and Shape Optimization of Snow Sculpture Models
Authors: Dong Xubin , Wang Licai , Li Laichun , Wang Kaibao , Xu Weizhen , Wang Haotian , Li Jianyong , Guo Qingdong 
Published: December 2022

Abstract
In this paper, the 3D model of the snow sculpture is discretized by Matlab to do isometric layering to obtain a series of height 2D model cuts on the model. The snow bricks are built into the snow sculpture based on this cut to make the snow sculpture closest to the original model to the greatest extent. According to the similarity of the snow sculpture (i.e. error area), the snow brick-filling optimization strategy is proposed. The robot model building test verifies that the contour layering and optimization strategy are feasible and effective.
Frequency Source Design of Fast Locking Laser Range Radar
Authors: Ting Yang , Wei Nian , Xia Chang 
Published: December 2022

Abstract
Given the bad ranging precision in continuous wave laser range radar systems because of the large jitter of the main oscillator frequency source, this paper introduces the fast locking method, which is based on Field Programmable Gate Array (FPGA) and modified mixed Charge Pump Phase Locked Loop (CPPLL), effectively improving the locking time of PLL frequency source. The input frequency is generated by a temperature compensation quartz crystal oscillator with high stability frequency (TCXO). It improves the PLL performance using the two-order active filter, reduces the phase detector dead-banding, and improves the frequency stability through the buffer insertion in PFD. The traditional PLL was improved by using preset voltage mode, which improves the PLL lock time. Finally, it analyzes the influence of frequency stability on the ranging accuracy of laser radar. The test results show that PLL lock time is up to 1.6ms. It can be applied to continuous wave laser radar ranging systems.
Design of Flue Gas Eliminating White Monitoring System for Natural Gas Boiler
Authors: Feng Dongmei , Dai Dongbing , Zhang Peng , Li Siteng , Liu Zhengguang 
Published: December 2022

Abstract
Aiming at the phenomenon that the flue gas discharged from a heating boiler contains waste heat and harmful gas, which causes energy waste and air pollution, the flue gas eliminating white monitor system based on Programmable Logic Controller (PLC) and MCGS configuration technology is designed. The system structure design is introduced, including the system hardware design, software design, monitoring screen design, and debugging of the physical system. In view of the problem that the waste heat of 45 °C still exists in the flue gas after being treated by the primary heat exchanger, the compressor is used to cool the gas to below 10 °C, which establishes the working conditions of flue gas eliminating white. The experimental results show that the system can control the start and stop of the compressor and the flue gas outlet temperature. The flue gas outlet temperature drops rapidly from about 40 °C to about 8 °C within about 10 minutes and reaches stability. The design of the system not only reduces the air thermal pollution but also establishes the basic conditions for flue gas eliminating white.
Detection of active segments of lower limbs EMG signal based on time-domain variance combined with short-term energy
Authors: Zhang Chao , Wu Qian , Ma Zhongjing 
Published: December 2022

Abstract
Using EMG signal to realize gesture recognition is a technical difficulty in the application of EMG signal. In order to solve this problem and ensure the accuracy and timeliness of action classification and recognition, it is proposed to use time-domain variance combined with short-term energy to set a double threshold algorithm to detect effective activity segments. Based on the short-term energy and the zero-crossing rate, the minimum energy threshold and the frame window data variance value are designed. Then the original signal is processed by frame length and frameshift, and the complete signal data is divided into several small Windows. Finally, the effective activity segment is intercepted after comparing the upper and lower limits of the time-domain feature extraction variance with the set threshold. The experimental results show that the algorithm is effective in realizing the detection and interception of the start and end points of actions when processing single-channel or multi-channel EMG signals.
Optimization of Torque Performance of Permanent Magnet Synchronous Motor Based on the Taguchi Method
Authors: Pan Yue , Yu Yinquan 
Published: December 2022

Abstract
In order to improve the driving capability of the permanent magnet synchronous motor (PMSM), this paper optimizes the stator slot and rotor optimization variables of PMSM with the average torque and torque ripple as the optimization objectives. Firstly, the sensitivity analysis is used to find out the optimization variables which have a greater influence on the optimization objective from the initial selection of optimization variables. Secondly, the Taguchi method and Finite element method (FEM) are used to derive the best combination of optimization variables. Finally, the initial and optimized FEM model is built. The results showed that the average torque of the motor was improved by 27.27% and the torque ripple is reduced by 46.99% after the optimization is done.
Energy management strategies for hybrid ships and Unmanned Underwater Vehicles
Authors: Zhang Mengyao , Gu Haitao , Guo Jianhua 
Published: December 2022

Abstract
Both ships and unmanned underwater vehicles (UUVs) have played a great role in the human exploration of the ocean and the investigation of marine resources. Their endurance of them is limited by the onboard energy storage, and the benefits of hybrid ships and UUVs in terms of energy conservation and emission reduction technologies are increasingly clear. The secret to attaining energy conservation while maintaining power performance is energy management. The management of energy for hybrid ships and UUVs are summarized in this work. First, this article includes the state of the art in energy management techniques for autonomous maritime vehicles and hybrid ships. and summarizes the hybrid energy management objectives for different purposes. Second, it analyses the latest progress of hybrid energy management strategies at the present stage and compares the benefits and drawbacks of existing energy management strategies in a comprehensive and in-depth manner. Finally, the paper summarizes their shortcomings and provides an outlook on the future development of hybrid energy management strategies.
CNN-SVM Spectrum Sensing in Cognitive Radio Based on Signal Covariance Matrix
Authors: Wang Qi , Guo Bin 
Published: December 2022

Abstract
Among the basic components of cognitive radio technology is spectrum sensing technology. Cooperative spectrum sensing is also a crucial factor research directions of spectrum sensing. Due to the problems of channel fading and hidden nodes, the spectrum sensing based on a single node cannot meet the requirements of the cognitive radio system for the primary user (PU) detection performance. A spectrum sensing algorithm is based on CNN-SVM and covariance matrix. In this algorithm, the covariance matrix of the signal is input into the convolutional neural network for feature extraction. Secondly, the result of the fully connected layer is taken as the input of the support vector machine for training to obtain a classifier, and finally, spectrum sensing is performed. The simulation outcomes demonstrate that the algorithm suggested in this research works outperform other algorithms in this paper. When the signal-to-noise ratio is -14 dB, the false alarm probability is 0.1, the number of secondary users is 32, and the detection probability reaches 0.81.
A Novel Finite-Time Fault Observer for the Actuators of the Industrial Manipulator
Authors: Liu Fuqiang , Ma Zuxing , Zhao Bin , Zhong Songyi 
Published: December 2022

Abstract
A novel fault observer which can accomplish fast finite-time convergence is proposed for the second-order manipulator system with disturbance and actuator faults in this paper. When the degree of actuator fault exceeds the upper bound on the external disturbance, both the fault and disturbance are considered as lumped actuator faults for estimation. A fast finite-time extended fault observer is constructed and demonstrated for estimating the total fault with uniformly and ultimately boundedness. The effiectiveness and superiority of the developed fault observer are illustrated by comparative experiment results on a two-joint manipulator model.
Laser Additive Remanufacturing Cladding Thickness Detection System
Authors: Lu Tong , Cheng Wei , Dong Shiyun , Ge Hailong , Li Wenlong , He Jianqun , Hu Zhiwei 
Published: December 2022

Abstract
As an important parameter in laser additive remanufacturing technology, cladding thickness is related to the quality of remanufacturing. Thickness detection during the cladding process can help improve the cladding quality and facilitate manual adjustment of parameters in real time to optimize the cladding thickness. This system develops a set of cladding thickness detection system based on laser displacement sensor. The system consists of hardware and software parts. The hardware part includes laser displacement sensor, mounting plate, digital signal acquisition device and laser cladding system. The software part a set of data acquisition software is developed according to Visual Studio. The system uses two methods to measure, and eliminates the error caused by the tilt factor of the worktable, and realizes the online measurement of cladding thickness.
Research on SVPWM control algorithm based on dual three-phase permanent magnet synchronous motor
Authors: Ma Lihong , Qiu Xiaochu 
Published: December 2022

Abstract
Compared with the three-phase permanent magnet synchronous motor, the dual-three-phase permanent magnet synchronous motor has the characteristics of high reliability, small torque fluctuation, and strong fault tolerance, which is suitable for application in the fields of ships, aerospace, and electric vehicles. However, due to the presence of harmonic sub-spaces in dual-three-phase permanent magnet synchronous motors, small voltage distortions can lead to excessive harmonic currents. In this paper, the dual-three-phase permanent magnet synchronous motor is used as a research object, and a control algorithm is designed to suppress its harmonic current. The traditional 48-sector SVPWM does not take into account the simultaneous action of the three-phase bridge arm of the same group of inverters during sector conversion, so it generates a large harmonic current when sector conversion. Therefore, this paper proposes an improved 48-sector SVPWM, which makes a partial adjustment to the vector selection of each sector based on the traditional 48-sector SVPWM, so that the zero vector selection of each sector is the same, avoiding the situation that the same group of three-phase bridge arms acts simultaneously when the sector is converted. The basic principles of improving the 48-sector SVPWM are introduced in detail, and the simulation analysis is carried out in MATLAB, which verifies the correctness of the theoretical analysis in this paper. The results show that this algorithm not only inherits the advantages of the traditional 48-sector SVPWM that is easy to implement in hardware, but also further reduces the harmonic current of the stator.
Improved Object Detection Algorithm Based on Faster RCNN
Authors: Wang Hua , Jiang Shifa , Gao Yang 
Published: December 2022

Abstract
This paper studies the target detection algorithm based on Faster R-CNN. Aiming at the insufficient regression accuracy of the target prediction box, an improved target detection algorithm based on Faster R-CNN is proposed. Firstly, ResNet 50 residual network is selected and the feature pyramid (FPN)is introduced to improve the ability of target detection. Secondly, GIOU is introduced to optimize the anchor frame to improve the positioning problem of the target candidate frame. Finally, a bilinear interpolated ROI Alian is used to replace the original ROI pooling, which avoids the pixel error caused by two quantization operations. The data set Pascal VOC 2012 is used for training and testing, and it is verified that the proposed algorithm improves the mAP by 5.4% compared with the original algorithm.