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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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Research of spindle error separation mixed method

Research of spindle error separation mixed method

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2013 3rd International Conference on Advanced measurement and Test, AMT 2013

作者： Wang, Peng Qing Wang, Hong Jun Wan, Peng Gao, He Peng Key Laboratory of Modern Measurement and Control Technology Ministry of Education BISTU Beijing 100192 China

ISBN: (纸本)9783037857168

This paper introduces a spindle error separation technique called orthogonal mixed method. The problem of harmonic suppression is solved by the orthogonal mixed method, which exists in the process of measurement based on three point *** measuring system consisting of a displacement sensor and a angle sensor is developed for spindle error and roundness measurement. Two sensors, which are placed in the same plane perpendicular to the spindle axis, are mutual into 900. The principle of the critical angle method of total reflection are used by two sensors to separate rotation error from spindle error. Above all, the measured results show that this method indeed solve the problem of harmonic suppression, make the results of measurement more accurate. © (2013) Trans Tech Publications, Switzerland.

关键词： Errors

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Weak characteristic information extraction from early fault of wind turbine generator gearboxkeywords wind turbine generator gearbox, B-singular value decomposition, local mean decomposition, weak characteristic information extraction, early fault warning

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Frontiers of Mechanical Engineering 2017年第3期12卷 357-366页

作者： Xiaoli XU Xiuli LIU Key Laboratory of Modem Measurement & Control Technology(Ministry of Education) Beijing Information Science and Technology University Beijing 100192 China

Given the weak early degradation characteristic information during early fault evolution in gearbox of wind turbine generator, traditional singular value decomposition （SVD）-based denoising may result in loss of useful information. A weak characteristic information extraction based on μ-SVD and local mean decomposition （LMD） is developed to address this problem. The basic principle of the method is as follows： Determine the denoising order based on cumulative contribution rate, perform signal reconstruction, extract and subject the noisy part of signal to LMD and μ-SVD denoising, and obtain denoised signal through superposition. Experimental results show that this method can significantly weaken signal noise, effectively extract the weak characteristic information of early fault, and facilitate the early fault warning and dynamic predictive maintenance.

关键词： wind turbine generator gearbox μ-singular value decomposition local mean decomposition weak characteristic information extraction early fault warning

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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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Support vector machine filtering for MEMS gyroscope

Support vector machine filtering for MEMS gyroscope

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3rd International Symposium on Test Automation and Instrumentation, ISTAI 2010

作者： Yang, Peng Li, Qing Key Laboratory of Modern Measurement and Control Technology University of Beijing Information Science and Technology Beijing 100192 China

ISBN: (纸本)9787510020841

Least squares support vector machine is new methods of classification and regression function in the field of machine learning in recent years. This paper introduces the basic principles and algorithm of least squares support vector machines. Then realize the least squares support vector machines' application in real-time filtering prediction for the gyro's random drift. Through the MATLAB simulation, the results show this method is effective.

关键词： MATLAB

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Effects of disparity distribution on visual comfort for multiple objects of stereoscopic images

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High technology Letters 2019年第1期25卷 42-47页

作者： Su Zhibin Li Dongrui Zou Fangju Ren Hui Key Laboratory of Acoustic Visual Technology and Intelligent Control System & China Beijing Key Laboratory of Modern Entertainment Technology Communication University of China

With the development of stereoscopic technology, more attention is attracted on the stereoscopic three-dimensional(S3 D) content and service, and researches on images and videos have emerged in large numbers. This paper focuses mainly on visual comfort affected by characteristics of disparity for multiple objects. To find the relationship between disparity distribution and visual comfort perception, several subject evaluation experiments are done. The study contains two spatial distribution types of disparity: 1) only one of the foreground objects has zero disparity; 2) one of the foreground objects has positive disparity, while the other one has negative disparity. The experimental results and relative regression analysis provide appropriate relationship between disparity distribution and visual comfort for both conditions, which is significant to meet the applicant field in S3 D content acquisition, display adjustment and quality evaluation.

关键词： disparity distribution disparity magnitude stereoscopic images visual comfort regression analyses

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Research on data acquisition technology of wind turbine monitoring system

Research on data acquisition technology of wind turbine moni...

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4th International Conference on Frontiers of Manufacturing Science and Measuring technology, ICFMM 2014

作者： Zuo, Yun Bo Beijing Information Science and Technology University Key Laboratory of Modern Measurement and Control Technology Ministry of Education China

ISBN: (纸本)9783038351924

In order to guarantee the safety of wind turbine, online monitoring system of wind turbine was utilized. Data acquisition technology is one of key technologies in monitoring systems. To reduce communication error rate of wind turbine monitoring system, the reliable data acquisition methods were presented in this paper. It utilized TCP protocol and double buffer asynchronous communication method on system server. The cycle buffer and multithread processing method was utilized on the acquisition terminal. The working state data were saved into PostgreSQL database with Npgsql dynamic link library. The data acquisition methods realized high speed, large capacity, and reliable data transmission. They can improve the accuracy and lower the cost of wind turbine monitoring system. © (2014) Trans Tech Publications, Switzerland.

关键词： Data acquisition

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The Day-ahead Scenario Generation Method for New Energy Based on an Improved Conditional Generative Diffusion Model

arXiv

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arXiv 2025年

作者： Wang, Changgang Liu, Wei Cao, Yu Liang, Dong Li, Yang Mo, Jingshan Key Laboratory of Modern Power System Simulation and Control and Renewable Energy Technology Ministry of Education Northeast Electric Power University Jilin Province Jilin132012 China School of Electrical Engineering Northeast Electric Power University Jilin Province Jilin132012 China Jilin Power Supply Company Substation Secondary Maintenance Center Jilin Province Jilin132012 China

In the context of the rising share of new energy generation, accurately generating new energy output scenarios is crucial for day-ahead power system scheduling. Deep learning-based scenario generation methods can address this need, but their black-box nature raises concerns about interpretability. To tackle this issue, this paper introduces a method for day-ahead new energy scenario generation based on an improved conditional generative diffusion model. This method is built on the theoretical framework of Markov chains and variational inference. It first transforms historical data into pure noise through a diffusion process, then uses conditional information to guide the denoising process, ultimately generating scenarios that satisfy the conditional distribution. Additionally, the noise table is improved to a cosine form, enhancing the quality of the generated scenarios. When applied to actual wind and solar output data, the results demonstrate that this method effectively generates new energy output scenarios with good adaptability. © 2025, CC BY-NC-ND.

关键词： Markov chains

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CoF: Coarse to Fine-Grained Image Understanding for Multi-modal Large Language Models

CoF: Coarse to Fine-Grained Image Understanding for Multi-mo...

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International Conference on Acoustics, Speech, and Signal Processing (ICASSP)

作者： Yeyuan Wang Dehong Gao Bin Li Rujiao Long Lei Yi Xiaoyan Cai Libin Yang Jinxia Zhang Shanqing Yu Qi Xuan School of Automation Northwestern Polytechnical University Xi’an China School of Cybersecurity Northwestern Polytechnical University Xi’an China Alibaba Group Hangzhou China The Key Laboratory of Measurement and Control of CSE Ministry of Education School of Automation Southeast University Nanjing China Advanced Ocean Institute of Southeast University Nantong China Zhejiang University of Technology Hangzhou China Binjiang Institute of Artificial Intelligence Hangzhou China

ISBN: (数字)9798350368741

ISBN: (纸本)9798350368758

The impressive performance of Large Language Model (LLM) has prompted researchers to develop Multi-modal LLM (MLLM), which has shown great potential for various multi-modal tasks. However, current MLLM often struggles to effectively address fine-grained multi-modal challenges. We argue that this limitation is closely linked to the models’ visual grounding capabilities. The restricted spatial awareness and perceptual acuity of visual encoders frequently lead to interference from irrelevant background information in images, causing the models to overlook subtle but crucial details. As a result, achieving fine-grained regional visual comprehension becomes difficult. In this paper, we break down multi-modal understanding into two stages, from Coarse to Fine (CoF). In the first stage, we prompt the MLLM to locate the approximate area of the answer. In the second stage, we further enhance the model’s focus on relevant areas within the image through visual prompt engineering, adjusting attention weights of pertinent regions. This, in turn, improves both visual grounding and overall performance in downstream tasks. Our experiments show that this approach significantly boosts the performance of baseline models, demonstrating notable generalization and effectiveness. Our CoF approach is available online at https://***/Gavin001201/CoF.

关键词： Location awareness Visualization Image recognition Grounding Large language models Interference Signal processing Prompt engineering Speech processing Visual perception

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