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10th International Symposium on Test Automation and Instrumentation, ISTAI 2024

作者： Liu, Junyu Piao, Linhua Beijing Key Laboratory of Sensors China Modern Measurement and Control Technology Ministry of Education China

ISBN: (纸本)9781837242672

A new sensitive structure of a low-coupling heat flow biaxial MEMS accelerometer is proposed and its sensitivity mechanism is investigated. A three-dimensional model of the sensitive structure was created by COMSOL, and the temperature field of the sensitive structure was calculated using the finite element method. The results show that the accelerometer has a temperature sensitivity of 1.71 K·g-1 in the X-axis, 1.69 K·g-1 in the Y-axis, 0.7% cross-coupling, and the sensitivity of both X-axis and Y-axes was 1.5 mV·g-1 with a heater power of 5mW and an acceleration of [-1~1] g. The accelerometer is characterized by a high sensitivity and a low cross-coupling, which lays a theoretical basis for the optimization of the structure in the following years. © The Institution of Engineering & technology 2024.

关键词： Accelerometers

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RESEARCH ON THE MECHANISM OF A HIGH ROBUSTNESS PRESSURE SENSOR BASED ON HEAT CONDUCTION 10

RESEARCH ON THE MECHANISM OF A HIGH ROBUSTNESS PRESSURE SENS...

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10th International Symposium on Test Automation and Instrumentation, ISTAI 2024

作者： Zhang, Yonghao Piao, Linhua Sun, Jiahao Beijing Key Laboratory of Sensors China Modern Measurement and Control Technology Ministry of Education China

ISBN: (纸本)9781837242672

In this paper, a structure of high robustness pressure sensor based on heat conduction is proposed and its mechanism is studied. The temperature field in the structure of a high robustness pressure transducer based on heat conduction is calculated by COMSOL, and the temperature difference under the corresponding pressure is calculated. The calculation results based on the three-dimensional physical model of the sensor show that the temperature difference of the highly robust pressure sensor based on heat conduction decreases with the increase of pressure, and the pressure of the sensor is inversely proportional to the temperature difference, The temperature sensitivity of the high robustness pressure sensor based on heat conduction in the range of 0 ~ 49N is -0.021 K/N and the nonlinearity is 11.02%. The temperature sensitivity of the high robustness pressure sensor based on heat conduction in the range of 50 ~ 60N is -1.184 K/N and the nonlinearity is 7.85%. Through the establishment of the three-dimensional physical model structure of the high-robustness pressure sensor based on heat conduction and the calculation results of the sensor, the mechanism of the high-robustness pressure sensor based on heat conduction is revealed, which lays a theoretical foundation for the subsequent optimization of the parameters and structure of this kind of sensor. © The Institution of Engineering & technology 2024.

关键词： Pressure transducers

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STUDY ON RESPONSE TIME OF Z-AXIS THERMAL EXPANSION FLOW GYROSCOPE 10

STUDY ON RESPONSE TIME OF Z-AXIS THERMAL EXPANSION FLOW GYRO...

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10th International Symposium on Test Automation and Instrumentation, ISTAI 2024

作者： Piao, Linhua Tong, Jiacheng Beijing Key Laboratory of Sensors China Modern Measurement and Control Technology Ministry of Education China

ISBN: (纸本)9781837242672

This paper presents a method to derive the gyro response time of thermal expansion flow in Z-axis micro-electro-mechanical systems (MEMS). First, the structure of the thermal expansion gyro is given and its working principle is explained in detail. Secondly, according to the sensitive mechanism of the thermal expansion gyro and its heat transfer mode, the theoretical model of the response time of the thermal expansion gyro is derived, and the calculation formula of the response time of the thermal expansion gyro is given. Finally, in order to verify the response time calculation formula derived in this paper, the finite element method is used. Based on the three-dimensional physical model of the thermal expansion gyro, the theoretical response time of the gyro is calculated and verified. The results of calculation and finite element verification show that: (1) the theoretical model and formula of response time of thermal expansion gyro are in agreement with the verification data;(2) With the increase of the thermal conductivity of the gas, the area of the thermal wire, and the decrease of the specific heat capacity and density of the gas, the response time gradually decreases. (3) The gyro response time calculated for Z-axis thermal expansion flow is 669.88 ms. The formula for calculating the response time of thermal expansion gyro presented in this paper lays a theoretical foundation for optimizing the response time of thermal expansion gyro. © The Institution of Engineering & technology 2024.

关键词： Density of gases

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A Defective Ground Structure Design for Reducing Coupling between Microstrip Antenna Arrays

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Progress in Electromagnetics Research C 2025年 151卷 123-130页

作者： Xu, Junhao Wang, Yafei Wang, Xiaozhe Li, Zhensong Key Laboratory of Information and Communication Systems Ministry of Information Industry Beijing Information Science and Technology University Beijing100101 China Key Laboratory of Modern Measurement & Control Technology Ministry of Education Beijing Information Science and Technology University Beijing100101 China

In order to reduce the coupling between dense antenna arrays in multiple input multiple output (MIMO) systems, this paper proposes a method to reduce the coupling between microstrip antenna arrays by utilizing a defected ground structure (DGS), which consists of "W"-shaped slits etched in the ground plane. Simulation results show that the structure can achieve −46.6 dB isolation between antenna arrays. To verify the effectiveness of the structure, the microstrip antenna arrays loaded with this DGS are fabricated and measured, and the measured results are consistent with the simulated ones, which verifies the effectiveness of the structure. © 2025, Electromagnetics Academy. All rights reserved.

关键词： Antenna arrays

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Viewpoint Rotation Prediction based Resource-Efficient Holographic Type Communication in EON enabled 6G RAN 22

Viewpoint Rotation Prediction based Resource-Efficient Holog...

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22nd International Conference on Optical Communications and Networks, ICOCN 2024

作者： Wang, Xin Zhang, Chengyuan Wang, Yafei Li, Xuehua Key Laboratory of Information and Communication Systems Ministry of Information Industry Key Laboratory of Modern Measurement & Control Technology Beijing China

A LSTM based viewpoint rotation prediction enabled resource-efficient holographic type communication is investigated in EON enabled 6G RAN. The CensNet enhanced PPO is used for feature extraction based DU-CU deploymen... 详细信息

ISBN: (纸本)9798350367652

关键词： Holography

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DEEP CNN FUSING ATTENTION AND LGBM CLASSIFIER FOR HIGH-ACCURACY HAND GESTURE RECOGNITION 10

DEEP CNN FUSING ATTENTION AND LGBM CLASSIFIER FOR HIGH-ACCUR...

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10th International Symposium on Test Automation and Instrumentation, ISTAI 2024

作者： You, Zhicong Lu, Wangdong Zhu, Chunmei Key Laboratory of Modern Measurement & Control Technology Ministry of Education Beijing Information Science & Technology University Beijing China

ISBN: (纸本)9781837242672

Gesture recognition has been widely used in automation and medical and smart-home. The adaptability and accuracy of traditional machine learning algorithms are limited by feature extraction and classifier selection, and the recognition accuracy is low as well as the robustness is poor. In our work, an improved CNN (Convolutional Neural Networks) combined with an LGBM (Lightweight Gradient Boosting Machine) hand gesture recognition method is proposed to improve the performance of hand gesture recognition. The method designs a 4-layer CNN structure and integrates a CBAM (Convolutional Block Attention Module) in the network to enhance the model's ability to learn and extract features. Furthermore, the extracted features are fed into an LGBM classifier for gesture classification, which improves the accuracy of gesture classification and reduces the risk of model overfitting. The accuracy of the 16 types of static gesture recognition reaches 97.89% in our dataset. An improvement of more than 10% is obtained in comparison with traditional machine learning classification algorithms. It demonstrates promising prospects for gesture recognition. © The Institution of Engineering & technology 2024.

关键词： Convolutional neural networks

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RESEARCH ON THREE-DIMENSIONAL FUSION METHOD OF SURVEILLANCE VIDEO IN SMART PARK 10

RESEARCH ON THREE-DIMENSIONAL FUSION METHOD OF SURVEILLANCE ...

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10th International Symposium on Test Automation and Instrumentation, ISTAI 2024

作者： Li, Haowei Zuo, Yunbo Hu, Huan Chen, Sai Zheng, Yifan Key Laboratory of Modern Measurement and Control Technology Ministry of Education Beijing Information Science and Technology University Beijing China

ISBN: (纸本)9781837242672

The three-dimensional video fusion technology is increasingly becoming an important part of smart parks. In previous security work, surveillance videos are typically displayed in a multi-screen layout, making it difficult to directly analyze the spatial positions of scenes and objects in the monitoring footage. Based on this, a real-time fusion rendering method for RTSP video streams and three-dimensional park models is proposed, which uses texture projection to integrate real videos into virtual three-dimensional models, achieving the fusion of multiple video sources. For scenarios with multiple videos at the same location, a viewpoint-based weighted method is adopted to achieve texture overlay rendering. Finally, a smart park surveillance video fusion platform is built based on the *** framework, supporting real-time rendering on the web. The system also provides various interaction methods, including roaming and viewpoint switching, making it convenient for personnel to monitor key areas. Simultaneously, it achieves the effect of roaming in virtual three-dimensional scenes, enhancing the stereoscopic presentation of real scenes in surveillance videos. The system demonstration proves that effectively combining real-time surveillance videos with three-dimensional models results in better spatial presentation of videos and enhances the ability to discern the actual positions of scenes within the smart park. © The Institution of Engineering & technology 2024.

关键词： Rendering (computer graphics)

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OPTIMIZATION OF EYE-IN-HAND CALIBRATION METHODS 10

OPTIMIZATION OF EYE-IN-HAND CALIBRATION METHODS

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10th International Symposium on Test Automation and Instrumentation, ISTAI 2024

作者： Ge, Xiaoliang Zuo, Yunbo Gu, Yuhai Miao, Zhuoran Key Laboratory of Modern Measurement and Control Technology Ministry of Education Beijing Information Science and Technology University Beijing China

ISBN: (纸本)9781837242672

Hand-eye calibration is a vital part in the field of robot vision and motion control, which ensures that the robot system can accurately perceive and operate the surrounding environment. To enhance the accuracy of the hand-eye calibration matrix obtained in the current experimental environment, this paper provides an optimal scheme for the selection of calibration points and hand-eye calibration algorithms on the checkerboard calibration board. The geometric errors, rotation-translation errors and other parameters of Tsai algorithm and Navy algorithm were calculated based on multiple sets of experimental data, and the performance differences between the two algorithms were evaluated. The experimental results show that in the calibration environment of this experiment, the optimal selection number of marker points is about 12, and the optimal calibration algorithm is Tsai algorithm. This study provides a reference for the optimization of robotic hand-eye calibration technology. © The Institution of Engineering & technology 2024.

关键词： Errors

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HAND-TO-EYE CALIBRATION OF A ROBOTIC ARM USING POINT CLOUD REGISTRATION METHOD 10

HAND-TO-EYE CALIBRATION OF A ROBOTIC ARM USING POINT CLOUD R...

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10th International Symposium on Test Automation and Instrumentation, ISTAI 2024

作者： Miao, Zhuoran Zuo, Yunbo Hu, Huan Ge, Xiaoliang Key Laboratory of Modern Measurement and Control Technology Ministry of Education Beijing Information Science and Technology University Beijing China

ISBN: (纸本)9781837242672

The objective of this paper is to investigate a hand-eye calibration approach employing an eye-to-hand configuration, focusing on point cloud registration. In the initial segments of the paper, the paper delineate the core principles that underpin hand-eye calibration, as well as the various techniques that are predominantly utilized in this field. Furthermore, the article meticulously analyzes the limitations of the traditional methods and identifies potential areas where improvements can be made. Subsequently, it delves into the hand-eye calibration methodology grounded in 3D point cloud registration. This exploration includes an in-depth analysis of an enhanced version of the Super 4PCS Algorithm-based point cloud registration algorithm, which is a novel and effective method for point cloud registration. Additionally, the article discusses the intricacies of coordinate system transformation and provides a comprehensive explanation of how to solve the hand-eye calibration equation AX=XB using the navy method. Furthermore, the paper empirically validates the efficacy and precision of this method. This validation process involves a comparative analysis with other existing approaches. Lastly, it summarizes the research findings and discusses the strengths and limitations of the proposed method. © The Institution of Engineering & technology 2024.

关键词： Robotic arms

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FAULT DIAGNOSIS METHOD BASED ON THE TIMESNET MODEL UNDER VARIABLE SPEED AND STRONG NOISE 10

FAULT DIAGNOSIS METHOD BASED ON THE TIMESNET MODEL UNDER VAR...

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10th International Symposium on Test Automation and Instrumentation, ISTAI 2024

作者： Qiao, Wan Liu, Xiuli Huang, Jinpeng Wu, Guoxin Key Laboratory of Modern Measurement and Control Technology Ministry of Education Beijing Information Science and Technology University Beijing China

ISBN: (纸本)9781837242672

Aiming at the fault diagnosis of rotating machinery in industrial production, which faces the problems of signal noise, variable speed and other interferences that lead to inconspicuous fault features, and the traditional methods rely on manual experience for feature extraction and lack of robustness, the present study introduces a novel fault diagnosis approach utilizing the TimesNet model. This method takes the temporal multi-periodicity as the starting point, and the one-dimensional original signal is divided into multiple two-dimensional signals by different sizes of the period respectively. Subsequently, Inception-Attention modeling is applied to extract intricate time and space information. The experiments use the planetary gearbox dataset to verify the influence of different parameters and structures of TimesNet on the diagnostic effect, and carry out comparative tests with five time-series classification models, which provide some reference value for the application of TimesNet in fault diagnosis. © The Institution of Engineering & technology 2024.

关键词： Epicyclic gears

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