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2020 7th International Conference on Computer-Aided design, Manufacturing, Modeling and Simulation, CDMMS 2020

作者： Yao, Jinling Liu, Jie College of Electronic Information and Engineering Tianjin Vocational Institute Tianjin300000 China Tianjin Key Laboratory for Advanced Mechatronic System Design and Intelligent Control School of Mechanical Engineering Tianjin University of Technology Tianjin300384 China Tianjin300384 China

This article introduces computer network intrusion detection systems and their classification based on artificial intelligence technology, and points out the challenges that intrusion detection systems (IDS) are facing in wireless sensor computer networks. On this basis, a hierarchical multi-layer wireless sensor network intrusion detection system and technology based on artificial intelligence technology Agent is proposed, and its network structure, working principle and performance are analysed. © Published under licence by IOP Publishing Ltd.

关键词： Intrusion detection

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Analysis of Strengthening Mechanism and Thermal Stability of M23c6 and Laves Phase in a Ferrite Matrix

SSRN

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SSRN 2023年

作者： Jin, Tiejian Shen, Junjie Ruan, Taotao Zhang, Dechang Xu, Yu Ren, He Tianjin Key Laboratory for Advanced Mechatronic System Design and Intelligent Control School of Mechanical Engineering Tianjin University of Technology Tianjin300384 China National Demonstration Center for Experimental Mechanical and Electrical Engineering Education Tianjin University of Technology Tianjin300384 China

The strengthening of ferrite matrix steel depends on the strengthening mechanism and thermal stability of M23C6 and Laves phases. This study investigated M23C6(Fe,Cr)23C6 and Laves(Fe2Nb) phase-strengthened ferritic steels. The creep microstructure, the interface structure, and the nanoindentation creep behavior of the second phase were studied. Results showed that the dislocation density in (Fe,Cr)23C6 strengthened ferritic steel after creep is lower than Fe2Nb strengthened ferritic steel. The dislocations in the crept (Fe,Cr)23C6 strengthened ferritic steel are straight without accumulation, significantly bending. The dislocations bend and entangle, forming dislocation walls in the crept Fe2Nb-strengthened ferritic steel. The orientation relationships between (Fe,Cr)23C6/Fe2Nb and ferrite matrix are [001]α-Fe//[011](Fe,Cr)23C6, (020)α-Fe//(71[[EQUATION]])(***)23C6,[001]α-Fe//[5[[EQUATION]]]Fe2Nb,(01[[EQUATION]])α-Fe//(03[[EQUATION]])Fe2Nb. The atomic interface mismatch between M23C6/Fe2Nb and the ferrite matrix is 20% of the semi-coherent interface and 1.6% of the coherent interface. The thermal stability of Fe2Nb is better than (Fe,Cr)23C6. The creep stress exponents of (Fe,Cr)23C6 and Fe2Nb in the ferrite matrix are 4.4 and 12.2, respectively. The alloy’s creep deformation follows dislocation climbing over the second phase. Second-phase Fe2Nb strengthening played a more significant role than (Fe,Cr)23C6 in enhancing the ferrite matrix. The results provide a theoretical foundation for developing ferritic heat-resistant steel based on Laves (Fe2Nb) phase strengthening. © 2023, The Authors. All rights reserved.

关键词： Creep

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Investigation of the Conjugate Heat Transfer and Flow Field for a Flat Plate with Combined Film and Impingement Cooling

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Journal of Thermal Science 2020年第4期29卷 955-971页

作者： FU Jinglun CAO Ying ZHANG Chao ZHU Junqiang Institute of Engineering Thermophysics Chinese Academy of SciencesBeijing 100190China University of Chinese Academy of Sciences Beijing 100049China Tianjin Key Laboratory for Advanced Mechatronic System Design and Intelligent Control Tianjin 300384China

Film cooling combined with internal impingement cooling is one of the most effective technologies to protect the gas turbine vanes and blades from the hot gas. In this study, conjugate heat transfer CFD study was undertaken for a flat plate with combined film cooling and impingement cooling. An experiment on conjugate heat transfer of a flat plate with combined film and impingement cooling was performed to validate the code. Then the effects of several parameters including Biot number, blowing ratio, film hole shape and impingement hole diameter on the overall cooling effectiveness were numerically studied. The results show that for a specific combined cooling scheme and a given blowing ratio, the coolant potential can be reasonably allocated to the internal and the external cooling to achieve the overall cooling effectiveness. As the blowing ratio increases, the overall cooling effectiveness trends to reach a maximum value. For different film hole geometrical, the maximum values of the overall cooling effectiveness at high blowing ratio approximate to the same value. At a given mass flow rate of coolant, the increase of the impingement hole diameter leads to the reduction of the overall cooling effectiveness.

关键词： conjugate heat transfer combined film and impingement cooling overall cooling effectiveness Biot number blowing ratio

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Adversarial Learning Network for Recovering Rppg Signals from Low-Resolution Images for Remote Heart Rate Measurement

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SSRN 2024年

作者： Zhai, Dezhao Chen, Wei Li, Qinwei Yu, Ming Wu, Hang Tianjin Key Laboratory for Advanced Mechatronic System Design and Intelligent Control School of Mechanical Engineering Tianjin University of Technology Tianjin300384 China Systems Engineering Institute Academy of Military Sciences People's Liberation Army Tianjin300161 China Tianjin Key Laboratory for Advanced Signal Processing Civil Aviation University of China Tianjin300300 China School of Artificial Intelligence Nankai University Tianjin300381 China

Remote Photoplethysmography (rPPG) is a non-contact method for measuring heart rate (HR) through facial video, which has significant research value and application potential. However, in long-distance vital sign measurement tasks, the low resolution of facial images and insufficient pixels in the facial region severely degrade the quality of the rPPG signals, leading to a sharp decline in HR accuracy. To address this issue, this paper proposes an adversarial learning network for recovering rPPG signals from low-resolution images (ALRSL-HR). First, arbitrary resolution face images are fed into multi-channel network to extract rPPG signal features capturing rich rPPG information, generating rPPG feature blocks, and temporally aggregating for richer feature representation. These features are then inputted into the backbone network to generate adversarial examples of rPPG signals of varying qualities. Finally, a two-stage adversarial loss function is employed to enable the low-quality rPPG signals to learn the periodic characteristics of high-quality rPPG signals, recover the low-quality signals, and narrow the quality gap between rPPG signals from low-resolution images. Extensive experiments were conducted in this paper to validate the effectiveness of our model on the public COHFACE, UBFC-Phys and UBFC-rPPG datasets. The results of the experiments demonstrate that the proposed ALRSL-HR model can effectively recover degraded rPPG signals from low-resolution images. © 2024, The Authors. All rights reserved.

关键词： Photoplethysmography

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design of Programmable Droplet Manipulation Platform Based on Magnetic control 12

Design of Programmable Droplet Manipulation Platform Based o...

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12th International Conference on CYBER Technology in Automation, control, and intelligent systems, CYBER 2022

作者： Zhang, Xianmiao Liu, Jie Liu, Jiying Wang, Yuzhe Zhang, Mian Xiang, Hongbiao School of Mechanical Engineering Tianjin University of Technology Tianjin Key Laboratory for Advanced Mechatronic System Design and Intelligent Control Tianjin300384 China National Demonstration Center for Experimental Mechanical and Electrical Engineering Education Tianjin University of Technology Tianjin300384 China Hong Kong Baptist University United International College Division of Culture and Creativity Beijing Normal University Guangdong Zhuhai519087 China

ISBN: (数字)9781665472678

ISBN: (纸本)9781665472678

Droplet actuation simplifies the handling of various reagents or samples and can be applied to a wide range of fields, including chemistry, biology, biomedical, and others. This paper presents a programmable droplet control system based on a magnetoelastic membrane and electromagnetic pillar array. Different magnetic blocks with different magnetization directions were designed on the silicone rubber membrane, and the magnetoelastic membrane deformed under the magnetic field generated by the array of electromagnetic pillars. By combining the gravitational forces of the droplet and the deformation of the magnetic membranes, the motion of the droplet can be controlled. Furthermore, the surface of membranes was ablated with a laser machine to impart superhydrophobic properties. The simulation results show that with the different magnetic fields, the droplet can move lengthwise, widthwise, and diagonally in the horizontal plane, and multiple droplets can be merged and mixed. In contrast to the traditional droplet control method, the droplet programmable movement control system utilizing superhydrophobic magnetoelastic membranes and an electromagnetic pillar array has better stationarity, flexibility and does not affect the basic properties of the droplets. © 2022 IEEE.

关键词： Silicones

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Trajectory Optimization and control Method Based on Multistage Nonlinear Model Predictive control

Trajectory Optimization and Control Method Based on Multista...

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Artificial Intelligence, Networking and Information Technology (AINIT), International Seminar on

作者： Qingchun Zheng Zhi Peng Peihao Zhu Ran Zhai Tianjin Key Laboratory for Advanced Mechatronic System Design and Intelligent Control Tianjin University of Technology Tianjin China School of Mechanical Engineering Tianjin University of Technology Tianjin China National Demonstration Center for Experimental Mechanical and Electrical Engineering Education Tianjin University of Technology Tianjin China

To improve the trajectory optimization efficiency of robot manipulators, this paper proposes a novel approach for trajectory optimization and control of manipulators based on multistage nonlinear model predictive control (msNLMPC). This approach is realized by using a neural state space model as the prediction model of nonlinear model predictive control (NLMPC). The simulation results show that the actual trajectory of the manipulator in our proposed scheme coincides with the desired trajectory. The manipulator achieves the control task of following the optimal trajectory. Our proposed method improves the trajectory optimization efficiency of the robot manipulator.

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Surgical Gesture Recognition in Open Surgery Based on 3DCNN and SlowFast

Surgical Gesture Recognition in Open Surgery Based on 3DCNN ...

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IEEE Information Technology, Networking, Electronic and Automation control Conference

作者： Yutao Men Jian Luo Zixian Zhao Hang Wu Feng Luo Guang Zhang Ming Yu Tianjin Key Laboratory for Advanced Mechatronic System Design and Intelligent Control School of Mechanical Engineering Tianjin University of Technology Tianjin China National Demonstration Center for Experimental Mechanical and Electrical Engineering Education(Tianjin University of Technology) Tianjin China Systems Engineering Institute Academy of Military Sciences People's Liberation Army Tianjin China

ISBN: (数字)9798350370805

ISBN: (纸本)9798350370812

In the field of computer-aided medicine, automated surgical gesture recognition is an important research direction. Its main applications include automated skills assessment, intraoperative guidance, and education and training systems. Current research has focused on robotic surgery, and there is less research on surgical gestures for open surgery. Therefore, in this study, a new simulated open surgery dataset was developed, and a series of surgical gestures for open surgery were defined for closure the abdomen surgery with the cooperation of professional doctors. In addition, this paper uses the classical algorithm 3DCNN and SlowFast model in the field of action recognition to perform offline recognition of surgical gestures for open surgery on the dataset. 3DCNN uses R3D and R(2+1)D models. The experimental results show that on the self-built open surgical dataset, the R3D model has the best surgical gesture recognition results, with an accuracy rate of 90.4%, a precision rate of 90.5%, and a recall rate of 90.0%.

关键词： Training Automation Accuracy Surgery Gesture recognition Medical services Information technology Robots Abdomen

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design of Multi-Channel Gas Sensor Circuit with Large Dynamic Range and High-Precision

Design of Multi-Channel Gas Sensor Circuit with Large Dynami...

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Electrical Engineering and mechatronics Technology (ICEEMT), IEEE International Conference on

作者： Kun Li Jiaheng Meng Yuzhe Liu Jingli Shi Kaicheng Liu Qing Liu Tianjin Key Laboratory of Film Electronic and Communication Device Tianjin University of Technology Tianjin China Tianjin Space Power Technology Co. Ltd Tianjin China Tianjin Lantian Solar Tech Co. Ltd. Tianjin Key Laboratory for Advanced Mechatronic System Design and Intelligent Control Tianjin University of Technology Tianjin China

In order to realize a multi-channel exhalation detection device with large dynamic range and high precision, a well designed signal processing and sampling circuit is essential for gas sensors. In this paper, a particular circuit is designed to meet above requirement. The proposed circuit uses a constant current source to achieve linear transformation of resistance value and output voltage, and uses a voltage follower for impedance transformation to minimize the impact of the AD acquisition on the front-end circuit. Since the gas sensor can be regarded as a variable resistor, the proposed circuit is tested with variable resistors varying from 10k$\Omega$ to 50M$\Omega$, over three orders of magnitude. In order to increase the sensitivity of the gas sensors, it is need to heat the sensor. Then a multi-channel heating circuit is designed with independent adjustable heating current in each channel, which can be controlled with multi-channel PWM signal from the MCU. With simulation and experiment, the performance of the proposed circuit has been verified to be excellent. Furthermore, the circuit has the advantage of being used in various fields.

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Simulation of crystal plasticity of P92 heat resistant steel considering martensitic lath structure

Simulation of crystal plasticity of P92 heat resistant steel...

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2021 International Conference on Materials Genetic Engineering and Information Science, MGEIS 2021

作者： Wang, Xinyu Shen, Junjie Guo, Xiangru Qiao, Jixin Tianjin Key Laboratory for Advanced Mechatronic System Design and Intelligent Control School of Mechanical Engineering Tianjin University of Technology Tianjin300384 China National Demonstration Center for Experimental Mechanical and Electrical Engineering Education Tianjin University of Technology Tianjin300384 China

Based on the theory of crystal plasticity, coupled with dislocation and lath hardening models, this paper establishes a crystal plasticity finite element model describing the high temperature creep of P92 steel. Open source software was used to generate lath models with an average size of 350nm, 650nm and 950nm to explore the effect of lath coarsening on the high-temperature creep behavior of P92 steel. The results show that the roughening of the slats increases the rate of creep deformation, resulting in a decrease in the service life of the material. Observing the slat model, it can be seen that the roughening of the slats enlarges the numerical gradient of stress and strain, and aggravates the overall plastic strain of the model. The coarsening of the slats accelerates the movement of dislocations, causing the density of movable dislocations to increase, and at the same time the shear strain amplitude of the slip system increases, thereby reducing the hardening behavior of the material. © Journal of Physics: Conference Series 2021.

关键词： Coarsening

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Exploration and Practice of Hierarchical Graduation Project under the Background of Science Collaborative Education and Engineering Education Accreditation 5

Exploration and Practice of Hierarchical Graduation Project ...

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5th International Conference on Advances in Artificial Intelligence, ICAAI 2021

作者： Gao, Lilan Tan, Yansong Sun, Yanfang Lv, Linwei Li, Bin Gao, Qijun Wang, Xiaofei Zhao, Yijiao Tianjin Key Laboratory for Advanced Mechatronic System Design and Intelligent Control School of Mechanical Engineering Tianjin University of Technology Tianjin300384 China National Demonstration Center for Experimental Mechanical and Electrical Engineering Education Tianjin University of Technology Tianjin300384 China

ISBN: (纸本)9781450390699

Graduation project is an important integrated practice segment for undergraduate education, since the quality of undergraduate education can be directly evaluated by the quality of graduation project. Under the background of science collaborative education and engineering education accreditation, it is necessary to explore an intelligent and integrated graduation project system to train students by all sorts of engineering and research projects, thus improve students' practical ability and innovation ability. This paper first analyzed the problems of the graduation project in the major of process equipment and control engineering, then introduced a novel hierarchical graduation project system to adapt to the concept of science collaborative education and engineering education. By putting the novel graduation project system into effect, the quality of graduation project has significantly improved. © 2021 ACM.

关键词： Accreditation

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