检索结果-内蒙古大学图书馆

IEEE Information technology and Mechatronics Engineering Conference (ITOEC)

作者： Jiapeng Li Wenzhen Kuang Tao He Yajie Li Yanpeng Wu Key Lab of Opt-Electronic Technology and Intelligent Control of Minisitry of Education Lanzhou Jiaotong University Lanzhou China Automatic Control Institute Lanzhou Jiaotong University Lanzhou China Gansu Rail Transit Signal and Control Evaluation Industry Technology Center Lanzhou

ISBN: (数字)9798331529482

ISBN: (纸本)9798331529499

In order to improve the efficiency of identifying the operation of computer interlocking host computer interface and promote the improvement of automation, combined with the display standards and requirements of the host computer interface, this paper proposes an image analysis method for the host computer interface based on Open CV. The method accurately extracts the coordinate information on the screen by quantifying the geometric features of various types of signal devices in the host computer interface. Through this process, it can realise the automatic identification, obtain the whole station's signal layout map from the image input, and make preparations for the subsequent automated test.

关键词： Computer interfaces Image analysis Accuracy Text recognition Software algorithms Layout Feature extraction Software Libraries Data mining

来源：评论

学校读者我要写书评

暂无评论

Adaptive Graph Convolution Neural Differential Equation for Spatio-Temporal Time Series Prediction

引用

IEEE Transactions on Knowledge and Data Engineering 2025年第6期37卷 3193-3204页

作者： Han, Min Wang, Qipeng Dalian University of Technology Key Lab. of Intelligent Control and Optimization for Industrial Equipment of Ministry of Education Liaoning Dalian116024 China Dalian University of Technology Prof. Technol. Innov. Center of Distributed Control for Industrial Equipment of Liaoning Province Liaoning Dalian116024 China Dalian University of Technology Faculty of Electronic Information and Electrical Engineering Liaoning Dalian116024 China

Multivariate time series prediction has aroused widely research interests during decades. However, the spatial heterogeneity and temporal evolution characteristics bring much challenges for high-dimensional time series prediction. In this paper, a novel adaptive graph convolution module is introduced to automatically learn the spatial correlation of multivariate time series and a Koopman-based neural differential equation is proposed to simulate the nonlinear system state evolution. In detail, the correlation between multivariate time series is revealed by the consine similarity of node embedding to infer the potential relationship between nodes and the spatio-temporal feature fusion module is utilized. The LSTM-based network is adopted as Koopman operator to reveal the latent states of spatio-temporal time series and the reversible assumption is imposed on the Koopman operator. Furthermore, the Euler-trapezoidal integration are utilized to simulate the temporal dynamics and multiple-step prediction is carried out in the latent space from the perspective of dynamical differential equation. The proposed model could explicitly discover the spatial correlation by adaptive graph convolution and reveal the temporal dynamics by neural differential equation, which make the modeling more interpretable. Simulation results show the effectiveness on spatio-temporal dynamic discovery and prediction performance. © 1989-2012 IEEE.

关键词： Time series analysis

来源：评论

学校读者我要写书评

暂无评论

Dynamic View Synthesis from Small Camera Motion Videos

引用

IEEE Transactions on Visualization and Computer Graphics 2025年 PP卷 PP页

作者： Sun, Huiqiang Li, Xingyi Peng, Juewen Shen, Liao Cao, Zhiguo Xian, Ke Lin, Guosheng Huazhong University of Science and Technology Key Laboratory of Image Processing and Intelligent Control Ministry of Education School of Artificial Intelligence and Automation Wuhan430074 China S-Lab 639798 Singapore Huazhong University of Science and Technology School of Electronic Information and Communications Wuhan430074 China

Novel view synthesis for dynamic 3D scenes poses a significant challenge. Many notable efforts use NeRF-based approaches to address this task and yield impressive results. However, these methods rely heavily on sufficient motion parallax in the input images or videos. When the camera motion range becomes limited or even stationary (i.e., small camera motion), existing methods encounter two primary challenges: incorrect representation of scene geometry and inaccurate estimation of camera parameters. These challenges make prior methods struggle to produce satisfactory results or even become invalid. To address the first challenge, we propose a novel Distribution-based Depth Regularization (DDR) that ensures the rendering weight distribution to align with the true distribution. Specifically, unlike previous methods that use depth loss to calculate the error of the expectation, we calculate the expectation of the error by using Gumbel-softmax to differentiably sample points from discrete rendering weight distribution. Additionally, we introduce constraints that enforce the volume density of spatial points before the object boundary along the ray to be near zero, ensuring that our model learns the correct geometry of the scene. To demystify the DDR, we further propose a visualization tool that enables observing the scene geometry representation at the rendering weight level. For the second challenge, we incorporate camera parameter learning during training to enhance the robustness of our model to camera parameters. We conduct extensive experiments to demonstrate the effectiveness of our approach in representing scenes with small camera motion input, and our results compare favorably to state-of-the-art methods. © 1995-2012 IEEE.

关键词： Geometry

来源：评论

学校读者我要写书评

暂无评论

Broadband optical Nonlinearities and Ultrafast Carrier Dynamics of GO-CuS Hybrid Film

引用

Journal of Lightwave technology 2025年

作者： Zhang, Xuefeng Bai, Xuli Liu, Xiaofei Wang, Dan Han, Hong Xiao, Zhengguo Zhang, Jianguo Nie, Zhongquan Taiyuan University of Technology College of Materials Science and Engineering Institute of New Carbon Materials Taiyuan030024 China Taiyuan University of Technology Key Lab of Advanced Transducers and Intelligent Control System Ministry of Education and Shanxi Province College of Electronic Information and Optical Engineering Taiyuan030024 China Taiyuan Institute of Technology Department of Science Taiyuan030008 China Tongren University Department of Physics and Electronic Engineering Tongren China National University of Defense Technology College of Advanced Interdisciplinary Studies Changsha410073 China

We report the broadband optical nonlinearities and ultrafast carrier dynamics of GO doped with CuS nanoparticles (GO-CuS) following the femtosecond pulse lasers. Both the pure GO and GO-CuS hybrid films are first synthesized by the vacuum filter deposition method and their optical nonlinearities are then examined in the wide wavelength range (400 nm-1064 nm) based on the femtosecond Z-scan technique. The results reveal that, compared to the pristine GO, the introduction of CuS not only makes the GO-CuS hybrid film switched from saturated absorption to reverse saturated absorption possible, but also achieves strong broadband optical nonlinear absorption responses and optical limiting effects. It is demonstrated that the strongest nonlinear absorption coefficient (∼3.6×10-7 m/W) appears at 400 nm excitation, which is dozens of times larger than that under the illumination of 1064 nm. By leveraging the femtosecond pump-probe technique, we further study the ultrafast carrier dynamics of the GO-CuS hybrid film carrying the fast and slow relaxation processes. Moreover, the physical mechanisms behind these excellent nonlinear optical responses are elucidated. The findings presented here indicate that the GO-CuS hybrid film can be regarded as a potential promising candidate in various ultrafast photonics devices. © 1983-2012 IEEE.

关键词： Femtosecond lasers

来源：评论

学校读者我要写书评

暂无评论

Distributed Online Convex optimization with Time-Varying Constraints: Tighter Cumulative Constraint Violation Bounds under Slater's Condition

引用

IEEE Transactions on Automatic control 2025年

作者： Yi, Xinlei Li, Xiuxian Yang, Tao Xie, Lihua Hong, Yiguang Chai, Tianyou Johansson, Karl H. National Key Laboratory of Autonomous Intelligent Unmanned Systems Shanghai Institute of Intelligent Science and Technology China Ministry of Education Frontiers Science Center for Intelligent Autonomous Systems China Massachusetts Institute of Technology Lab for Information & Decision Systems CambridgeMA02139 United States Northeastern University State Key Laboratory of Synthetical Automation for Process Industries Shenyang110819 China Nanyang Technological University School of Electrical and Electronic Engineering 50 Nanyang Avenue 639798 Singapore Kth Royal Institute of Technology Division of Decision and Control Systems School of Electrical Engineering and Computer Science Sweden Digital Futures Stockholm10044 Sweden

This paper considers distributed online convex optimization with time-varying constraints. In this setting, a network of agents makes decisions at each round, and then only a portion of the loss function and a coordinate block of the constraint function are privately revealed to each agent. The loss and constraint functions are convex and can vary arbitrarily across rounds. The agents collaborate to minimize static network regret and network cumulative constraint violation. A novel distributed online algorithm with a vanishing stepsize is proposed and it achieves an O(Tmax {c,1-c}) static network regret bound and an O(T1-c/2) network cumulative constraint violation bound, where T is the number of rounds and c∈ (0,1) is a user-defined trade-off parameter. When Slater's condition holds (i.e, there is a point that strictly satisfies the inequality constraints), the network cumulative constraint violation bound is reduced to O(T1-c). Moreover, if the loss functions are strongly convex, then static network regret bound is reduced to O(log (T)), and the network cumulative constraint violation bound is reduced to O(√log (T)T) and O(log (T)) without and with Slater's condition, respectively. To the best of our knowledge, this paper is the first to achieve tighter (network) cumulative constraint violation bounds for (distributed) online convex optimization with time-varying constraints under Slater's condition. Finally, the theoretical results are verified through numerical simulations. © 1963-2012 IEEE.

关键词： Convex optimization

来源：评论

学校读者我要写书评

暂无评论

Radiation Effect Analysis on Human Head Caused by Different Frequencies of Mobile Phone Antenna

Radiation Effect Analysis on Human Head Caused by Different ...

引用

2022 International Applied Computational Electromagnetics Society Symposium, ACES-China 2022

作者： Zhang, Xi-Yu Zhou, Wen-Ying Lanzhou Jiaotong University Key Lab of Opt-Electronic Technology and Intelligent Control of Ministry of Education Gansu Lanzhou China

ISBN: (纸本)9781665452366

This article discusses the bio-electromagnetic effects of the human head who exposure to the different operation frequency of three kinds of mobile phones. Three kinds of exposure sources with microwave and millimeter-wave bands respectively, which include the dual-band PIFA antenna operating at 900 MHz and 1860 MHz, the patch antenna operating at 3.5 GHz and the dual-band millimeter-wave antenna operating at 27 GHz and 40 GHz. We take a three-layer ball head model as the human head, and use the COMSOL Multiphysics software to simulate the specific absorption rate (SAR) and the absorbed power density (Sab) and temperature rise performance in the human head. The maximum SAR in human head is 1.41 W/kg and 4.4 W/kg, when it exposed to the microwave antenna and millimeter-wave antenna respectively. The results show that the millimeter-wave antennas have higher radiation energy than the microwave antennas for the human head model. The radiation dose absorbed in the human tissues are all below the limit restriction. © 2022 IEEE.

关键词： Microwave antennas

来源：评论

学校读者我要写书评

暂无评论

Design of the MIMO Antenna for Mobile Communication Terminal

Design of the MIMO Antenna for Mobile Communication Terminal

引用

2024 Photonics and Electromagnetics Research Symposium, PIERS 2024

作者： Li, Yuxin Zhou, Wenying Xu, Jinjing Lanzhou Jiaotong University Key Lab of Opt-Electronic Technology and Intelligent Control of Ministry of Education Gansu Lanzhou730070 China

ISBN: (纸本)9798350375909

The MIMO antenna for mobile communication terminals is proposed for improving its communication ability in different networks. It can avoid the problem of signal attenuation and poor signal quality caused by antenna band mismatch. The dimension of the overall antenna size is 58mm×120mm (0.68λ0×1.41λ0, where λ0 is the wavelength of 3.5GHz). The MIMO antenna can cover the following areas: GSM 1800, UMTS, LTE, and 5G band N78. The proposed antenna consists of two types of radiating units, including an E-type radiating unit and an L-type radiating unit. The E-type radiating unit contains two frequency bands of 1.71 ∼ 1.75GHz and 3.36 ∼ 3.61GHz respectively, which is worked for GSM1800 and 5G band N78. The L-type radiating unit covers 2.58 ∼ 2.69GHz, after moving the L-type patch, it can cover 2.05 ∼ 2.17GHz, which works for UMTS and 5G band LTE. The E-type patch antenna is center symmetric loaded to improve the gain of the proposed MIMO antenna. The simulation results show that the antenna's efficiency is higher than 80% in 2.1GHz, 2.6GHz, and 3.5GHz bands with ECC (Envelope Correlation Coefficient) less than 0.16. A prototype of the proposed 6-antenna array is manufactured and measured. The measurement results show a return loss of 8.72dB and an isolation of 14.83dB, basically consistent with simulation results. It is also worth noticing that the proposed antenna could operate in the highly anticipated next-generation Wi-Fi 6E. © 2024 IEEE.

关键词： Slot antennas

来源：评论

学校读者我要写书评

暂无评论

Recognition of Hybrid PQ Disturbances Based on Multi-Resolution S-Transform and Decision Tree

引用

Energy Engineering 2023年第5期120卷 1133-1148页

作者： Feng Zhao Di Liao Xiaoqiang Chen Ying Wang School of Automation and Electrical Engineering Lanzhou Jiaotong UniversityLanzhou730070China Key Lab of Opt-Electronic Technology and Intelligent Control of Ministry of Education Lanzhou Jiaotong UniversityLanzhou730070China

Aiming at the problems of multiple types of power quality composite disturbances,strong feature correlation and high recognition error rate,a method of power quality composite disturbances identification based on multiresolution S-transform and decision tree was ***,according to IEEE standard,the signal models of seven single power quality disturbances and 17 combined power quality disturbances are given,and the disturbance waveform samples are generated in ***,in order to improve the recognition accuracy,the adjustment factor is introduced to obtain the controllable time-frequency resolution through multi-resolution S-transform time-frequency domain *** this basis,five disturbance time-frequency domain features are extracted,which quantitatively reflect the characteristics of the analyzed power quality disturbance signal,which is less than the traditional method based on ***,three classifiers such as K-nearest neighbor,support vector machine and decision tree algorithm are used to effectively complete the identification of power quality composite *** results showthat the classification accuracy of decision tree algorithmis higher than that of K-nearest neighbor and support vector ***,the proposed method is compared with other commonly used recognition *** results show that the proposedmethod is effective in terms of detection accuracy,especially for combined PQ interference.

关键词： Hybrid power quality disturbances disturbances recognition multi-resolution S-transform decision tree

来源：评论

学校读者我要写书评

暂无评论

Hierarchical and Distributed optimal control Strategy for Power and Power Quality of Microgrid Based on Finite-Time Consistency

引用

Energy Engineering 2022年第5期119卷 2065-2080页

作者： Wenjun Wei Hao Liang College of Automation&Electrical Engineering Lanzhou Jiaotong UniversityLanzhou730070China Key Lab of Opt-Electronic Technology and Intelligent Control of Ministry of Education Lanzhou Jiaotong UniversityLanzhou730070China

Droop control is one of the main control strategies of islanded microgrid(MG),but the droop control cannot achieve reasonable power distribution of microgrid,resulting in frequency and voltage deviation from the rating value,which needs the upper control link to eliminate the ***,at present,most layered control requires a centralized control center,which excessively relies on microgrid central controller(MGCC)and real-time communication among distributed generation(DG),which has certain *** solve the above problems,this paper proposes a hierarchical distributed power and power quality optimization strategy based on multi-agent finite time consistency algorithm(MA-FTCA).Firstly,based on the first layer droop control,MA-FTCA is applied to introduce frequency and voltage compensation to stabilize the system frequency and voltage at the rated ***,in the third layer,the MA-FTCA is adopted to estimate the total active power and total reactive power spare capacity of the system,to realize the reasonable distribution of active power and reactive power output of each DG according to its proportion of spare capacity when the system load side *** control strategy proposed in this paper adopts a completely distributed control method and does not need a centralized control center in each layer of ***,MATlab/Simulink simulation platform is used to verify the correctness and effectiveness of the proposed optimization strategy.

关键词： Microgrid finite time consistency power distribution hierarchical control

来源：评论

学校读者我要写书评

暂无评论

Bearing Fault Diagnosis with DDCNN Based on intelligent Feature Fusion Strategy in Strong Noise

引用

Computers, Materials & Continua 2023年第12期77卷 3423-3442页

作者： Chaoqian He Runfang Hao Kun Yang Zhongyun Yuan Shengbo Sang Xiaorui Wang College of Electronic Information and Optical Engineering Taiyuan University of TechnologyTaiyuan030024China Key Lab of Advanced Transducers and Intelligent Control System of the Ministry of Education Taiyuan030024China

intelligent fault diagnosis in modern mechanical equipment maintenance is increasingly adopting deep learning ***,conventional bearing fault diagnosis models often suffer from low accuracy and unstable performance in noisy environments due to their reliance on a single input ***,this paper proposes a dual-channel convolutional neural network(DDCNN)model that leverages dual data *** DDCNN model introduces two key ***,one of the channels substitutes its convolution with a larger kernel,simplifying the structure while addressing the lack of global information and shallow ***,the feature layer combines data from different sensors based on their primary and secondary importance,extracting details through small kernel convolution for primary data and obtaining global information through large kernel convolution for secondary *** experiments conducted on two-bearing fault datasets demonstrate the superiority of the two-channel convolution model,exhibiting high accuracy and robustness even in strong noise ***,it achieved an impressive 98.84%accuracy at a Signal to Noise Ratio(SNR)of−4 dB,outperforming other advanced convolutional models.

关键词： Fault diagnosis dual-data dual-channel feature fusion noise-resistance

来源：评论

学校读者我要写书评

暂无评论

建议与咨询留下您的常用邮箱和电话号码，以便我们向您反馈解决方案和替代方法

时间限定

文献类型

馆藏选择

核心期刊

语言

文献类型

帮助

文字说明：

检索规则说明：

检索范例：

分类表

所选分类

限定检索结果

文献类型

馆藏范围

日期分布

学科分类号

主题

机构

作者

语言

请选择保存的检索档案：

请选择收藏分类：

通借通还

建议与咨询 留下您的常用邮箱和电话号码，以便我们向您反馈解决方案和替代方法

时间限定

文献类型

馆藏选择

核心期刊

语言

文献类型

帮助

文字说明：

检索规则说明：

检索范例：

分类表

所选分类

限定检索结果

文献类型

馆藏范围

日期分布

学科分类号

主题

机构

作者

语言

请选择保存的检索档案： 新增检索档案 确定 取消

请选择收藏分类： 新增自定义分类 确定 取消

通借通还

建议与咨询留下您的常用邮箱和电话号码，以便我们向您反馈解决方案和替代方法

请选择保存的检索档案：

请选择收藏分类：