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4th International Conference on Electronic Information engineering and Computer technology, EIECT 2024

作者： Wang, Zhe Tao, Gang Zhang, Lijing College of Safety Science and Engineering Nanjing Tech University Jiangsu Nanjing China Jiangsu Key Laboratory of Intrinsic Safety and Control Technology of Hazardous Chemicals Jiangsu Nanjing China

ISBN: (纸本)9798331528850

This paper conducts a numerical simulation focusing on Liquefied Natural Gas (LNG) tanker leakage within tunnels, investigating the influence of wind speed on the leakage and dispersion. The results indicate that as wind speed increases, the gas cloud disperses further downstream with higher concentrations;additionally, the greater the atmospheric turbulence effect, the faster the heat transfer rate of both gas and droplets becomes, leading to an accelerated evaporation rate of the droplets. This research provides a scientific basis for emergency rescue operations in the event of LNG leakage, offering practical guidance and significance. © 2024 IEEE.

关键词： Liquefied natural gas

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Crystallinity-defect matching relationship of g-C_(3)N_(4): Experimental and theoretical perspectives

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Green Energy & Environment 2024年第4期9卷 623-658页

作者： Yuhan Li Ziteng Ren Zhengjiang He Ping Ouyang Youyu Duan Wendong Zhang Kangle Lv Fan Dong Engineering Research Center for Waste Oil Recovery Technology and Equipment Ministry of EducationChongqing Key Laboratory of Catalysis and New Environmental MaterialsChongqing Technology and Business UniversityChongqing400067China Nanchang Institute of Technology Nanchang33044China Key Laboratory of Resources Conversion and Pollution Control of the State Ethnic Affairs Commission College of Resources and Environmental ScienceSouth-Central Minzu UniversityWuhan430074China College of Physics and Center of Quantum Materials and Devices Chongqing UniversityChongqing401331China Chongqing Key Laboratory of Green Synthesis and Application Chongqing Normal UniversityChongqing401331China

Good crystallinity can reduce the charge recombination centers caused by defects,whilst structures with strong polycondensation have high charge mobility,leading to more charge transfer to the material surface for *** effort has been put into the preparation of a highly efficient g-C_(3)N_(4) with defects to improve its application potential under the premise in high ***,this review paper emphasizes the importance to balance the defect and crystallinity of g-C_(3)N_(4).In addition,detailed discussion on the relationship between defects and activity of g-C_(3)N_(4) was carried out based on its applications in environmental purification(e.g.,VOCs oxidation,NO_(x) oxidation,H_(2)O_(2) evolution,sterilization,pesticide oxidation)and energy conversion(H_(2) evolution,N_(2) fixation and CO_(2) reduction).Lastly,the challenge in developing more efficient defective g-C_(3)N_(4) photocatalytic materials is summarized.

关键词： Photocatalysis Defect G-C_(3)N_(4) Crystallinity Application

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A Road Crack Detection Method based on Improved U-Net 4

A Road Crack Detection Method based on Improved U-Net

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4th International Conference on Computer Vision and Data Mining, ICCVDM 2023

作者： Chen, Yi College of Electrical and Control Engineering Xi’an University of Science and Technology Xi’an China Xi’an Key Laboratory of Electrical Equipment Condition Monitoring and Power Supply Security Xi’an China

ISBN: (纸本)9781510674448

Cracks in infrastructure engineering projects have a significant impact on the performance and functionality of roads, bridges, and buildings. Traditional crack detection methods are time-consuming and subjective, thus calling for faster and more accurate detection methods. This paper proposes a novel algorithm called the Multi-Layer Supervised Network, which combines the U-Net model and deformable convolution to address the challenges in crack detection. Our method utilizes the encoder-decoder architecture of the U-Net model to extract crack features and addresses the issues of gradient vanishing and overfitting through a multi-layer supervised mechanism. Meanwhile, the deformable convolution is introduced to be able to deal with different scales and angles of cracks adaptively and improve the feature expression capability. The experimental results demonstrate that our proposed method can accurately detect and segment cracks in images with good generalization ability. Compared to traditional image classification and object detection methods, our approach can extract more accurate crack information, providing valuable insights for the evaluation and maintenance of infrastructure engineering projects. © 2024 SPIE.

关键词： Convolution

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InterRep: A Visual Interaction Representation for Robotic Grasping

InterRep: A Visual Interaction Representation for Robotic Gr...

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IEEE International Conference on Robotics and Automation (ICRA)

作者： Yu Cui Qi Ye Qingtao Liu Anjun Chen Gaofeng Li Jiming Chen College of Control Science and Engineering Zhejiang University Hangzhou China College of Control Science and Engineering The State Key Laboratory of Industrial Control Technology Zhejiang University and the Key Key Lab of CS&AUS of Zhejiang Province

ISBN: (数字)9798350384574

ISBN: (纸本)9798350384581

Recently, pre-trained vision models have gained significant attention in motor control, showcasing impressive performance across diverse robotic learning tasks. While previous works predominantly concentrate on the significance of the pre-training phase, the equally important task of extracting more effective representations based on existing pre-trained visual models remains unexplored. To better leverage the representation capabilities of pre-trained models for robotic grasping, we propose InterRep, a novel interaction representation method that possesses not only the strengths of pre-trained models, known for their robustness in noisy environments and their proficiency in recognizing essential features, but also the capacity of capturing dynamic interaction details and local geometric features during the grasping process. Based on the novel representation, we introduce a deep reinforcement learning method to learn generalizable grasping policies. The experimental results demonstrate that our proposed representation outperforms the baselines in terms of both training speed and generalization. For the generalized grasping tasks with dexterous robotic hands, our method boasts a success rate nearly 20% higher than methods using the global features of the entire image from pre-trained models. In addition, our proposed representation method demonstrates promising performance when applied to a different robotic hand and task. It also exhibits excellent performance on real robots with a success rate of 70%.

关键词： Training Visualization Motor drives Shape Grasping Feature extraction Robustness

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Tire Defect Detection based on Non-Subsampled Shearlet Transform

Tire Defect Detection based on Non-Subsampled Shearlet Trans...

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第34届中国过程控制会议

作者： Yilin Wang Song Luo Yulong Zhang Jinshui Chen Jiangang Lu State Key Laboratory of Industrial Control Technology College of Control Science and EngineeringZhejiang University Zhejiang Laboratory

In tire industry,defect detection by X-ray image is an important process to prevent tires with quality issues from entering the *** image processing methods are able to detect specific defects of tires due to being able to take full advantage of the prior knowledge of defect characteristics from human *** this paper,we adopt multiscale geometric transform technique and propose a tire defect detection algorithm based on Non-Subsampled Shearlet Transform(NSST).Experiments show that our algorithm achieves satisfactory detection *** introducing low-pass filtering and adaptive threshold segmentation,it's also able to fulfill quantitative detection of defect size,showing its application prospect in industrial scenes.

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Research on active disturbance rejection control scheme of auxiliary power unit 41

Research on active disturbance rejection control scheme of a...

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第41届中国控制会议

作者： Jijun Li Jianyi Zhang Si-Xin Wen Kun-Zhi Liu Xi-Ming Sun School of Control Science and Engineering Dalian University of Technology Key Laboratory of Intelligent Control and Optimization for Industrial Equipment of Ministry of Education Dalian University of Technology DUT Artificial Intelligence Institute

ISBN: (数字)9789887581536

ISBN: (纸本)9781665482561

As an important secondary power source of the aircraft,the control performance of the Auxiliary Power Unit(APU)will directly affect the working efficiency of the aero-engines and the aircraft ***,APU has complex nonlinear characteristics and faces the influence of various inevitable and uncertain ***,the design of its highperformance control system is extremely challenging,and the traditional gain-scheduling PI control method cannot meet this *** resolve this problem,we design an Active Disturbance Rejection control(ADRC) scheme for APU *** the same time,the parametric design method of the proposed ADRC is given,so that the corresponding control parameters can be set according to the linearized model in engineering ***,a numerical comparison simulation is carried out on a certain auxiliary power unit model to verify the effectiveness and superiority of the proposed method.

关键词： Auxiliary power unit(APU) Aero-engine Active disturbance rejection control(ADRC) Extended state observer(ESO)

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Health Parameters Estimation of Turbofan Engine Based on Improved UKF Method 41

Health Parameters Estimation of Turbofan Engine Based on Imp...

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第41届中国控制会议

作者： Yu Zhang Si-Xin Wen Kun-Zhi Liu Chongyi Sun Xi-Ming Sun School of Control Science and Engineering Dalian University of Technology Key Laboratory of Intelligent Control and Optimization for Industrial Equipment of Ministry of Education Dalian University of Technology DUT Artificial Intelligence Institute

ISBN: (数字)9789887581536

ISBN: (纸本)9781665482561

In view of the shortcomings of the standard Unscented Kalman Filter(UKF),such as slow convergence speed,low precision and easy divergence,the state estimation problem is transformed into an unconstrained optimization problem,and an iterative Unscented Kalman Filter based on the optimization method is *** Levenberg-Marquart nonlinear optimization method is used to improve the measurement update equation of the filtering ***,the numerical simulation of health parameters estimation on a certain turbofan engine is carried *** results show that the established parameters estimation model can accurately estimate the changes of health parameters in different performance degradation modes,and the convergence speed and stability are obviously better than the standard UKF *** addition,the improved algorithm was successfully deployed on the NVIDIA Jetson Xavier embedded platform to complete the online estimation,which indicates that the proposed method has good real-time performance.

关键词： Turbofan engine Kalman filter Unconstrained optimization Online estimation

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Stacked Denoising Autoencoders Based Poisson Regression For Count Data Modeling 11

Stacked Denoising Autoencoders Based Poisson Regression For ...

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11th IEEE Data Driven control and Learning Systems Conference, DDCLS 2022

作者： Zhang, Xinmin Liu, Ying Song, Zhihuan Zhu, Zheren Wei, Chihang College of Control Science and Engineering Zhejiang University State Key Laboratory of Industrial Control Technology Hangzhou310027 China School of Information Science and Technology Hangzhou Normal University Hangzhou310027 China

ISBN: (数字)9781665496759

ISBN: (纸本)9781665496759

Data-driven virtual-sensors or soft-sensors are important tools for predicting quality variables or KPIs in many industrial processes. However, the existing virtual-sensors models are generally based on the assumption that the response variable or model error structure satisfies normality and homoscedasticity. But, in many practical applications, the response variable of interest is a nonnegative integer or count that we want to model or analyze based on a set of explanatory variables. The count data usually violate these assumptions and exhibit heteroscedasticity and skewed distribution. To model and analyze count data, this paper proposes a stacked denoising autoencoders-based Poisson regression (SDAE-PR) model. In SDAE-PR, the stacked denoising autoencoders are adopted to extract the high-level feature representation of the data, and Poisson regression is then performed on this representation. Unlike the conventional Poisson regression model which use hand-crafted features to build the model, SDAE-PR can extract high-level feature representations, which not only helps to improve the prediction accuracy of the Poisson regression model, but also is more robust to noise;In addition, SDAE-PR inherits the merits of Poisson regression that can ensure the non-negativity for the prediction of the response variable, which is a key for the count data modeling and analysis. The experimental results demonstrated that the proposed SDAE-PR model is more accurate than the other state-of-the-art methods in terms of prediction accuracy. © 2022 IEEE.

关键词： Forecasting

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Modeling and optimization design for RF humidity perception in storage environment 3

Modeling and optimization design for RF humidity perception ...

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3rd International Seminar on Artificial Intelligence, Networking, and Information technology, AINIT 2022

作者： Wang, Lihong Zhu, Chunhua Key Laboratory of Grain Information Processing and Control Henan University of Technology Ministry of Education China College of Information Science and Engineering Henan University of Technology China Henan Key Laboratory of grain photoelectric detection and control Henan University of Technology Zhengzhou Henan China

ISBN: (数字)9781510662971

ISBN: (纸本)9781510662964

Radio Frequency (RF) perception of humidity is the current research hotspot of grain condition monitoring for "three temperature and three humidity". In order to analyze the optimal detection parameters on humidity of storage environment, the Wireless Insite test platform is built to analyze the effects of antenna height, carrier frequency and grain and with different moisture content on Channel State Information (CSI) such as received power, path loss and time delay. The mathematical relations between the humidity and path loss, the humidity and time delay are deduced respectively. In simulation experiments, the frequency bands of 2.4GHz, 5GHz, 28GHz, 45GHz, 60GHz are selected. Study the changes of path loss and delay spread with humidity in the storage environment at different frequencies and antenna height. When the height of the transceiver antenna is set to 1m, the 28GHz, 45GHz and 60GHz millimeter wave signals are more sensitive to humidity changes, thereby which can provide more higher perception resolution of detecting humidity in the storage environment, compared with the 2.4GHz and 5GHz frequency bands. Besides, when space humidity is constant and the moisture content of wheat is changed, the arrival time of each ray in the channel at 45GHz is longer than that at 60GHz. The above work can provide reference for the application of RF sensing technology in the humidity detection scenario. © 2023 SPIE.

关键词： Millimeter waves

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Research on Grain Yield Prediction Model Based on Wavelet transform and LSTM 3

Research on Grain Yield Prediction Model Based on Wavelet tr...

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3rd International Seminar on Artificial Intelligence, Networking, and Information technology, AINIT 2022

作者： Zhu, Chunhua Li, Pengle Key Laboratory of Grain Information Processing and Control Henan University of Technology Ministry of Education China College of Information Science and Engineering Henan University of Technology China Henan Key Laboratory of grain photoelectric detection and control Henan University of Technology Zhengzhou Henan China

ISBN: (数字)9781510662971

ISBN: (纸本)9781510662964

To improve the accuracy of grain yield prediction, a grain yield prediction model based on wavelet transform and long short-term memory (LSTM) is proposed. Firstly, the original data is decomposed by wavelet transform algorithm to obtain a series of sub-sequences of different scales, and then LSTM prediction models are built for the sub-sequences, finally wavelet reconstruction is used to obtain the predicted yield and analyze the model performance. The article uses China's 1999-2018 grain yield as experimental data. The experiment shows that the method proposed in this article has excellent performance in both short-term and medium-term predictions compared to the existing methods. © 2023 SPIE.

关键词： Forecasting

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