检索结果-内蒙古大学图书馆

Geothermal Resources Council 2018 Annual Meeting: Geothermal's Role in Today's Energy Market, GRC 2018

作者： He, Ruijie Wang, Zhigang Fu, Wencheng Tianjin Key Laboratory Advanced Mechatronic System Design and Intelligent Control School of Mechanical Engineering United States National Demonstration Center Experimental Mechanical and Electrical Engineering Education United States Tianjin University of Technology China

ISBN: (纸本)0934412235

With the rapid development of China's economy, the relative shortage of energy has become one of the important factors restricting economic and social development. At present, the research and development of energy-saving technology in industrial process have important practical significance. The Organic Rankine Cycle (ORC) system is considered to be a technology for the efficient use of low-temperature heat energy, and many researchers have made efforts on the efficiency of ORC system. In this paper, the dynamic performance of the system is adjusted by using the neural network-based PID control method for the expander in the system. Firstly, the control model of the expander in the system is established, and then the control algorithm is applied to the controlled object to make the system run efficiently. The simulation results show that the algorithm has a good control effect compared with the traditional PID control. This control method can effectively improve the efficiency of ORC system. © 2018 International Journal of Caring Sciences. All rights reserved.

关键词： Rankine cycle

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Solar Image Restoration with the Cycle-GAN Based on Multi-Fractal Properties of Texture Features

arXiv

引用

arXiv 2019年

作者： Jia, Peng Huang, Yi Cai, Bojun Cai, Dongmei College of Physics and Optoelectronics Taiyuan University of Technology Taiyuan030024 China Department of Physics Durham University South Road DurhamDH1 3LE United Kingdom Key Laboratory of Advanced Transducers and Intelligent Control Systems Ministry of Education and Shanxi Province Taiyuan University of Technology Taiyuan030024 China

Texture is one of the most obvious characteristics in solar images and it is normally described by texture features. Because textures from solar images of the same wavelength are similar, we assume texture features of solar images are multi-fractals. Based on this assumption, we propose a pure data-based image restoration method: with several high resolution solar images as references, we use the Cycle-Consistent Adversarial Network to restore burred images of the same steady physical process, in the same wavelength obtained by the same telescope. We test our method with simulated and real observation data and find that our method can improve the spatial resolution of solar images, without loss of any frames. Because our method does not need paired training set or additional instruments, it can be used as a post-processing method for solar images obtained by either seeing limited telescopes or telescopes with ground layer adaptive optic system. Copyright © 2019, The Authors. All rights reserved.

关键词： Image reconstruction

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Perception Evaluation – A new solar image quality metric based on the multi-fractal property of texture features Solar Physics

arXiv

引用

arXiv 2019年

作者： Huang, Yi Jia, Peng Cai, Dongmei Cai, Bojun College of Physics and Optoelectronics Taiyuan University of Technology Taiyuan030024 China Department of Physics Durham University South Road DurhamDH1 3LE United Kingdom Key Laboratory of Advanced Transducers and Intelligent Control Systems Ministry of Education and Shanxi Province Taiyuan University of Technology Taiyuan030024 China

Next-generation ground-based solar observations require good image quality metrics for post-facto processing techniques. Based on the assumption that texture features in solar images are multi-fractal which can be extracted by a trained deep neural network as feature maps, a new reduced-reference objective image quality metric, the perception evaluation is proposed. The perception evaluation is defined as cosine distance of Gram matrix between feature maps extracted from high resolution reference images and that from blurred images. We evaluate performance of the perception evaluation with simulated blurred images and real observation images. The results show that with a high resolution image as reference, the perception evaluation can give robust estimate of image quality for solar images of different scenes. Copyright © 2019, The Authors. All rights reserved.

关键词： Information management

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Optical transient object classification in wide field small aperture telescopes with neural networks

arXiv

引用

arXiv 2019年

作者： Jia, Peng Zhao, Yifei Xue, Gang Cai, Dongmei College of Physics and Optoelectronics Taiyuan University of Technology Taiyuan030024 China Department of Physics Durham University South Road DurhamDH1 3LE United Kingdom Key Laboratory of Advanced Transducers and Intelligent Control Systems Ministry of Education and Shanxi Province Taiyuan University of Technology Taiyuan030024 China

Wide field small aperture telescopes are working horses for fast sky surveying. Transient discovery is one of their main tasks. Classification of candidate transient images between real sources and artifacts with high accuracy is an important step for transient discovery. In this paper, we propose two transient classification methods based on neural networks. The first method uses the convolutional neural network without pooling layers to classify transient images with low sampling rate. The second method assumes transient images as one dimensional signals and is based on recurrent neural networks with long short term memory and leaky ReLu activation function in each detection layer. Testing with real observation data, we find that although these two methods can both achieve more than 94% classification accuracy, they have different classification properties for different targets. Based on this result, we propose to use the ensemble learning method to further increase the classification accuracy to more than 97%. Copyright © 2019, The Authors. All rights reserved.

关键词： Surveys

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A method for optimization design of multiple degrees of freedom micro gyroscope 25

A method for optimization design of multiple degrees of free...

引用

25th International Congress on Sound and Vibration 2018: Hiroshima Calling, ICSV 2018

作者： Hao, Shuying Song, Yuhao Zhang, Chenqing Feng, Jingjing Zhang, Qichang Tianjin University of Technology School of Mechanical Engineering Tianjin Key Laboratory of Advanced Electromechanical System Design and Intelligent Control National Demonstration Center for Experimental Mechanical and Electrical Engineering Education Tianjin China Tianjin University School of Mechanical Engineering Tianjin Key Laboratory of Nonlinear Dynamics and Control Tianjin China

ISBN: (纸本)9781510868458

In order to obtain ideal bandwidth and high sensitivity of multiple degrees of freedom micro gyroscopes, a kind of optimization design method of combining dynamic characteristic extraction with orthogonal experiment is presented in this paper. Firstly, the effect of vibrator mass ratio, structural frequency ratio and damping ratio on dynamic characteristic that is bandwidth and sensitivity of micro gyroscopes was studied, and then the constraint conditions of optimization design was determined according to dynamic characteristic. And on this basis the orthogonal experiment was adopted to set the level range of each factors and optimize sensitivity and bandwidth of the micro gyroscopes by orthogonal table of five factors and four levels. After optimization, the sensitivity of the micro gyroscopes is only slightly increased, but the bandwidth which compares to result of second order sequence optimization is increased by 1590Hz. Therefore, the optimization design method can greatly improve the bandwidth of the micro gyroscopes and be applied to the optimization design of the multiple degrees of freedom micro gyroscopes with wide-bandwidth. © 25th International Congress on Sound and Vibration 2018, ICSV 2018: Hiroshima Calling. All rights reserved.

关键词： Bandwidth

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Research on Computer Network Technology system Based on Artificial Intelligence Technology

引用

Journal of Physics: Conference Series 2021年第4期1802卷

作者： Jinling Yao Jie Liu College of Electronic Information and Engineering Tianjin Vocational institute Tianjin 300000 China Tianjin Key Laboratory for Advanced Mechatronic System Design and Intelligent Control School of Mechanical Engineering Tianjin University of Technology Tianjin 300384 China National Demonstration Center for Experimental Mechanical and Electrical Engineering Education (Tianjin University of Technology) Tianjin 300384 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.

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Ultra-wide tuning single channel filter based on one-dimensional photonic crystal with an air cavity

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Journal of Semiconductors 2017年第2期38卷 26-30页

作者： Xiaodan Zhao Yibiao Yang Zhihui Chen Yuncai Wang Hongming Fei Xiao Deng Department of Physics and Optoelectronics Taiyuan University of Technology Taiyuan 030024 China Key Laboratory of Advanced Transducers and Intelligent Control System Taiyuan University of TechnologyMinistry of Education Taiyuan 030024 China

By inserting an air cavity into a one-dimensional photonic crystal of LiF/GaSb, a tunable filter covering the whole visible range is proposed. Following consideration of the dispersion of the materials, through modulating the thickness of the air cavity, we demonstrate that a single resonant peak can shift from 416.1 to 667.3 nm in the band gap at normal incidence by means of the transfer matrix method. The research also shows that the transmittance of the channel can be maximized when the number of periodic Li F/Ga Sb layers on one side of the air defect layer is equal to that of the other side. When adding a period to both sides respectively, the full width at half maximum of the defect mode is reduced by one order of magnitude. This structure will provide a promising approach to fabricate practical tunable filters in the visible region with ultra-wide tuning range.

关键词： photonic crystal filters transfer matrix method single resonant peak ultra-wide tuning range mechanical modulation

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Design of wearable squat booster for automobile assembler based on ergonomics

引用

Journal of Physics: Conference Series 2020年第1期1635卷

作者： Zhewen Chen Zhifeng Qiao Tianxu Bao Fuchao Dou Xinpu Chen Tianjin University of Technology Tianjin Key Laboratory for Advanced Mechatronic System Design and Intelligent Control School of Mechanical Engineering National Demonstration Center for Experimental Mechanical and Electrical Engineering Education Tianjin China

Aiming at the problem that automobile assembler need to squat for a long time, a wearable squatting assistance system with low cost, simple control and easy to squat and walk is designed. Based on ergonomics and finite element theory, UG was used to draw a three-dimensional solid model of the wearable squatting power system for automobile assemblers. With the help of ANSYS software, the statics analysis of key components is carried out to check their strength and stiffness. It is concluded that the wearable squatting power assist device for automotive fitters based on ergonomics has reached the design requirements in terms of function use and strength and stiffness.

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Kinematic Analysis of a Redundant Actuated Five Degrees of Freedom Parallel Mechanism

Kinematic Analysis of a Redundant Actuated Five Degrees of F...

引用

2018 IEEE International Conference on Robotics and Biomimetics, ROBIO 2018

作者： Xiaolong, Yin Bin, Li Xinhua, Zhao Tianjin Key Laboratory for Advanced Mechatronic System Design and Intelligent Control Tianjin University of Technology China Fac. of Natl. Demonstration Center for Experimental Mechanical and Electrical Engineering Education Tianjin University of Technology Tianjin300384 China

ISBN: (纸本)9781728103761

A 5 degree of freedom parallel mechanism with 6 branched redundant actuators is proposed. The mechanism is composed of 4 -SPS and 2-RPS kinematic branches. The mechanism can achieve three rotational and two translational motion. The performance of the forward and inverse kinematics, singularity and workspace, is analyzed, firstly, using the vector algebra method and Newton iteration method, the forward and inverse kinematics model were obtained from numerical solution and analytic solution;on this basis, get the Jacobian matrix of mechanism, and on the basis of the three kinds of performance parameters of matrix the singularity of the mechanism was analyzed;finally with the help of Monte Carlo method, obtaining the workspace of the mechanism. The related kinematic analysis will lay a theoretical foundation for the future study of the dynamics. © 2018 IEEE.

关键词： Mechanisms

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Establishment and Optimization of Gas Flow Prediction Model for Annealing Furnace Based on GA-SVM 37

Establishment and Optimization of Gas Flow Prediction Model ...

引用

37th Chinese control Conference, CCC 2018

作者： Qu, Qilin Yuan, Yan Yali, Jin Zhang, Yongyue China University of Geosciences School of Automation Wuhan430074 China Hubei Key Laboratory of Advanced Control and Intelligent Automation for Complex System Wuhan430074 China School of Information Science and Engineering Central South University Changsha410083 China

ISBN: (纸本)9789881563941

T0616. The temperature accuracy of the steel coil is directly affected the production quality of the steel plate. In the annealing furnace temperature control system, strip temperature control is mainly decided by various furnace annealing furnace gas flow in the area, so setting up a precise model between gas flow and temperature has become an important problem of the control system of annealing furnace. In this paper, SVM is applied to the prediction model of the gas flow in the annealing furnace since it's suitable for nonlinear and high dimensional problems as a machine learning method. In view of that the choice of C, G and the model parameters of the SVM directly affect the prediction precision of the model, this paper uses GA to optimize these two parameters. Finally, we use the data of field production as training and testing samples to establish and verify the model. The experimental results showed that the established model well achieved the requirements of the accuracy of the target. © 2018 Technical Committee on control Theory, Chinese Association of Automation.

关键词： Flow of gases

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