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MDRN: Multi-distillation residual network for efficient MR image super-resolution

Mathematical Biosciences and Engineering 2024年第10期21卷 7421-7434页

作者： Deng, Liwei Chen, Jingyi Yang, Xin Huang, Sijuan Heilongjiang Provincial Key Laboratory of Complex Intelligent System and Integration School of Automation Harbin University of Science and Technology Heilongjiang Harbin150080 China State Key Laboratory of Oncology in South China Guangdong Key Laboratory of Nasopharyngeal Carcinoma Diagnosis and Therapy Guangdong Provincial Clinical Research Center for Cancer Sun Yat-sen University Cancer Center Guangdong Guangzhou510060 China Guangdong Esophageal Cancer Institute Guangdong Guangzhou510060 China

Super-resolution (SR) of magnetic resonance imaging (MRI) is gaining increasing attention for being able to provide detailed anatomical information. However, current SR methods often use the complex convolutional network for feature extraction, which is difficult to train and not suitable for limited computation resources in the medical scenario. To tackle these bottlenecks, we propose a multidistillation residual network (MDRN) for more differential feature refinement, which has a superior trade-off between reconstruction accuracy and computation cost. Specifically, a novel feature multidistillation residual block with a contrast-aware channel attention module was designed to make the residual features more focused on low-vision information, which maximizes the power of MDRN. Comprehensive experiments demonstrate the superiority of our MDRN over state-of-the-art methods in reconstruction quality and efficiency. Our method outperforms other existing methods in peak signal-noise ratio by up to 0.44-1.82 dB in 4× scale when GPU memory and runtime are lower than in other SR methods. The source code will be available at https://***/Jennieyy/MDRN. © 2024 the Author(s).

关键词： Magnetic resonance imaging

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TRANSIENT DYNAMIC FINITE ELEMENT ANALYSIS AND RELIABILITY ASSESSMENT OF MINING EXCAVATORS GEAR TRANSMISSION system 13

TRANSIENT DYNAMIC FINITE ELEMENT ANALYSIS AND RELIABILITY AS...

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13th International Conference on Quality, Reliability, Risk, Maintenance, and Safety Engineering, QR2MSE 2023

作者： Guo, Yunfei Qian, Zheng-Kun Huang, Hong-Zhong State Key Laboratory of Intelligent Mining Equipment Technology Taiyuan China Center for System Reliability and Safety University of Electronic Science and Technology of China Sichuan Chengdu611731 China

ISBN: (纸本)9781839539848

A transient dynamic finite element analysis and reliability assessment of mining excavators gear transmission system is conducted in this paper. Specifically, Transient dynamics method is used in mining excavator transmission gear contact finite element simulation analysis, studying the time-varying gear contact stress. Gear transmission three-dimension modeling was set up using UG software and imported into ANSYS for simulation analysis. According to the distribution of the motor power, and rotational speed, get the gear contact stress distribution, then depending on the materials of the gear tooth surface contact fatigue strength distribution, and get the gear contact fatigue reliability. © The Institution of Engineering & technology 2023.

关键词： Excavators

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A Regional Coupling Enhanced Omnidirectional Wireless Power Transfer system With Low-Fluctuation Regulation Strategy

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IEEE Transactions on Power Electronics 2025年

作者： Li, Musong Zhang, Xian Chen, Zhixin Dai, Zhongyu Zhao, Liyuan Hebei University of Technology State Key Laboratory of Intelligent Power Distribution Equipment and System Tianjin300401 China

Omnidirectional wireless power transfer (OWPT) systems can significantly enhance the charging freedom of the receiver (RC). Nevertheless, variations of RC position bring upon non-negligible output fluctuations, affecting the system stability and efficiency. Existing researches focus on the optimization of magnetic coupling structure (MCS) while being constrained by high control complexity. In this letter, a regional coupling enhanced OWPT system with low-fluctuation regulation strategy is proposed for consumer electronics products (CEP). Firstly, a MCS with self-decoupling multi-transmitter coils (TCs) of the OWPT system is discussed in detail. Secondly, a regulation strategy with high output stability and system efficiency under different working conditions is proposed, which requires only the adjustment of the input phase shift angle on the corresponding TC. Finally, a 100 V/100 kHz experimental prototype is built to validate the regulation strategy of the OWPT system. Experimental results show that the output voltage can be stabilized between 6.31V and 6.67V within a 90° rotational range, with a maximum fluctuation rate of 4.78% and the system efficiency is all over 76%. Meanwhile, in the planar region, the output voltage remains stable between 28.6V and 29.7V, with a maximum fluctuation rate of 3.79% and an average system efficiency of 86.9%. © 1986-2012 IEEE.

关键词： Inductive power transmission

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Attribute Analysis and Modeling Research on Color Harmony of Three-Color Combination

Attribute Analysis and Modeling Research on Color Harmony of...

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2023 International Conference on Culture-Oriented Science and technology, CoST 2023

作者： Pu, Jiapeng Wang, Shuang Ren, Hui Communication University of China State Key Laboratory of Media Convergence and Communication China Communication University of China Key Laboratory of Acoustic Visual Technology and Intelligent Control System China Communication University of China Beijing Key Laboratory of Modern Entertainment Technology Beijing China

ISBN: (纸本)9798350357998

Color harmony is the result of objective color matching and human subjective feeling. This paper aims to study the subjective and objective factors of color harmony and carry out mathematical models between them. Firstly, we constructed a color data set commonly used three-color combinations. Secondly, we analyzed the subjective and objective factors affecting color harmony, extracted the 36-dimensional objective physical features, and divided subjective factors into direct psychological factors and indirect psychological factors. Then, based on color harmony and its subjective factors, a total of 33 subjects evaluated 150 three-color combinations on a five-level scale. Finally, the mathematical models of color harmony were constructed by machine learning algorithms. The research shows that color harmony is not only affected by objective factors, but also by subjective factors, and the influence of subjective factors is greater. In addition, the multiple linear regression algorithm plays best on color harmony predicting, which can better explain the color harmony mechanism. © 2023 IEEE.

关键词： Color matching

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Cloud Resource Integrated Prediction Model Based on Variational Modal Decomposition-Permutation Entropy and LSTM

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Computer systems Science & Engineering 2023年第11期47卷 2707-2724页

作者： Xinfei Li Xiaolan Xie Yigang Tang Qiang Guo Guangxi Key Laboratory of Embedded Technology and Intelligent System Guilin541006China School of Information Science and Engineering Guilin University of TechnologyGuilin541006China

Predicting the usage of container cloud resources has always been an important and challenging problem in improving the performance of cloud resource *** proposed an integrated prediction method of stacking container cloud resources based on variational modal decomposition(VMD)-Permutation entropy(PE)and long short-term memory(LSTM)neural network to solve the prediction difficulties caused by the non-stationarity and volatility of resource *** variational modal decomposition algorithm decomposes the time series data of cloud resources to obtain intrinsic mode function and residual components,which solves the signal decomposition algorithm’s end-effect and modal confusion *** permutation entropy is used to evaluate the complexity of the intrinsic mode function,and the reconstruction based on similar entropy and low complexity is used to reduce the difficulty of ***,we use the LSTM and stacking fusion models to predict and superimpose;the stacking integration model integrates Gradient boosting regression(GBR),Kernel ridge regression(KRR),and Elastic net regression(ENet)as primary learners,and the secondary learner adopts the kernel ridge regression method with solid generalization *** Amazon public data set experiment shows that compared with Holt-winters,LSTM,and Neuralprophet models,we can see that the optimization range of multiple evaluation indicators is 0.338∼1.913,0.057∼0.940,0.000∼0.017 and 1.038∼8.481 in root means square error(RMSE),mean absolute error(MAE),mean absolute percentage error(MAPE)and variance(VAR),showing its stability and better prediction accuracy.

关键词： Cloud resource prediction variational modal decomposition permutation entropy long and short-term neural network stacking integration

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High-performance all-solution-processed inverted quantum dot light-emitting diodes enabled by water treatment

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Nano Research 2023年第7期16卷 10215-10221页

作者： Qianqing Hu Junjie Si Desui Chen Xiaoming Hao Rui Xu Yihang Du Zhuopeng Du Xinquan Gong Hong Zhao Peiqing Cai Qi Ai Xin Yao Yu Yan Zenan Zhang Muzhi Cai Wei Liu Yongyin Kang Zugang Liu College of Optical and Electronic Technology China Jiliang UniversityHangzhou 310018China Key Laboratory of Excited-State Materials of Zhejiang Province State Key Laboratory of Silicon MaterialsDepartment of ChemistryZhejiang UniversityHangzhou 310027China Institute of Flexible Electronics Technology of THU ZhejiangJiaxing Key Laboratory of Flexible Electronics based Intelligent Sensing and Advanced Manufacturing TechnologyJiaxing 314000China Zhejiang Najing Technology Co. Ltd.Quzhou 324004China Najing Technology Corporation Ltd. Hangzhou 310052China

All-solution-processed inverted quantum dot(QD)light-emitting diodes(QLEDs)with transparent bottom cathodes can be directly connected to the n-type thin-film transistors,offering a feasible solution for low-cost active matrix-driven QD ***,the subsequent solution-deposition of the hole-transporting layer destroys the underneath QD films,resulting in largely deteriorated device *** strategies have been implemented to prevent QD film from dissolution,but all at a heavy cost of device performance suffering from either reduced efficiency or increased driving ***,a facile and effective water-treatment approach for QD film to fabricate inverted QLEDs through all solution processing is *** water treatment substitutes the long-chain oleate ligands with hydroxyl groups,resulting in significantly improved non-polar solvent resistance of the QD ***,the QD films reserve their excellent photoluminescence efficiency after water *** the water-treated QD film as the emissive layer,all-solution-processed inverted red QLED with a peak external quantum efficiency of 19.6%,a turn-on voltage of 1.8 V,and a T50 operational lifetime of 150,000 h at 100 cd·m^(-2) was ***,efficient and low-voltage-driven green and blue QLEDs can also be prepared with this *** work provides a feasible strategy for the fabrication of high-performance all-solution-processed inverted QLEDs,paving the way toward achieving QLEDs by all ink-jet printing.

关键词： solvent-resistance quantum dots inverted electroluminescence all solution processing

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Lightweight Monocular 3D Object Detection Based on Attention Mechanism 5

Lightweight Monocular 3D Object Detection Based on Attention...

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5th Asia-Pacific Conference on Image Processing, Electronics and Computers, IPEC 2024

作者： Zhan, Feng Zhang, Zhi Wuhan University of Science and Technology College of Computer Science and Technology Hubei Wuhan430065 China Information Processing and Real-time Industrial System Hubei Province Key Laboratory of Intelligent Hubei Wuhan430065 China Information Processing and Real-time Industrial System Hubei Province Key Laboratory of Intelligent Hubei Wuhan30065 China

ISBN: (纸本)9798350374407

In the field of autonomous driving, 3D target detection is an important technology. In view of the shortcomings of existing monocular 3D detection algorithms in terms of accuracy and real-time performance, we propose a lightweight 3D target detection algorithm based on the attention mechanism. In order to ensure the real-time performance of the model, we use depthwise separable convolutions in the backbone network. The feature maps of each scale are then connected to an EMA module, which can fuse spatial attention and cross-dimensional Coordinate attention is used to enhance the feature extraction capability of the network, and BiFPN is subsequently used for multi-scale feature fusion. Finally, experiments were conducted on the KITTI dataset, and the results showed that our algorithm was superior to other methods in both accuracy and speed. © 2024 IEEE.

关键词： Object recognition

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A method to enhance the low-frequency performance of geophone 2

A method to enhance the low-frequency performance of geophon...

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2nd International Symposium on Sensor technology and Control, ISSTC 2023

作者： Huang, Zhiwei Zhang, Fuxiang Li, Xiaoqing Zeng, Lizhan Jiang, Wei Huazhong University of Science and Technology State Key Laboratory of Intelligent Manufacturing Equipment and Technology Wuhan China

ISBN: (纸本)9798350314465

The velocity sensor is an important component of active damping systems and affects the accuracy and bandwidth of the control system. Velocity sensors with limited size lack accuracy in the low-frequency domain. To increase the velocity sensor measurement performance, this paper proposes a method that extends the low-frequency measurement bandwidth of the velocity sensor. Firstly, a mathematical model is established to obtain the physical characteristics of the sensor and analyze the factors affecting the measurement bandwidth. Secondly, an extended filtering method is introduced to match the sensor parameters and to design the sensor signal processing circuit based on theoretical calculation and simulation. Finally, a testing platform is set up and experiments are carried out. The results show that, for a given geophone with a natural frequency of 2Hz, the measurement bandwidth can be extended to 0.2Hz by using the proposed method. © 2023 IEEE.

关键词： Signal processing

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Characteristic impedance analysis of the Soft-Failure due to mechanical stress on High-speed cables in vehicle applications 8

Characteristic impedance analysis of the Soft-Failure due to...

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8th International Conference on Traffic Engineering and Transportation system, ICTETS 2024

作者： Cai, Heng He, Jinglin Mao, Guojun Xu, Zhongyan Li, Qiang Zhang, Jianchen Li, Xu State Key Laboratory of Intelligent Vehicle Safety Technology Chongqing China School of Vehicle Engineering Chongqing University of Technology Chongqing China

ISBN: (数字)9781510686298

ISBN: (纸本)9781510686281

The FAKRA cable has emerged as a dependable and effective choice for transmitting high-frequency signals in automotive applications. However, guaranteeing signal integrity in FAKRA cable systems has become a critical challenge, particularly with the rising data rates in electric vehicle applications. This paper aims to explore the RF performances of various FAKRA cables up to 6 GHz. Additionally, a comparison is made between straight and right-angle connectors in FAKRA cable assemblies. Through a combination of simulations and measurements, it is demonstrated that the straight FAKRA connector exhibits better RF performances for high-speed data communication than the right-angle version. The study provides the physical explanation of the discrepancies between straight and right-angle FAKRA connectors. Engineers working with FAKRA system should choose cables with straight connectors to ensure optimal signal integrity for high-speed data transmission in automotive applications. © 2024 SPIE.

关键词： Magnetic levitation vehicles

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Stabilization of Perturbed Continuous-Time systems Using Event-Triggered Model Predictive Control

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IEEE Transactions on Cybernetics 2022年第5期52卷 4039-4051页

作者： Wang, Mengzhi Sun, Jian Chen, Jie Zhejiang University State Key Laboratory of Industrial Control Technology Hangzhou310027 China Beijing Institute of Technology Key Laboratory of Intelligent Control and Decision of Complex System Beijing100081 China Beijing Institute of Technology Chongqing Innovation Center Chongqing401120 China

In this article, event-triggered model predictive control (EMPC) of continuous-time nonlinear systems with bounded disturbances is studied. Two novel event-triggered control schemes are proposed. In the first strategy, an event-triggering condition, designed based on the state error between the actual system state and the optimal one, with an absolute threshold is considered. In the second strategy, an event-triggering condition with a mixed threshold is designed to further save the computational resources. The minimal interevent times of both event-triggered control schemes are obtained to avoid the Zeno behavior. Sufficient conditions of recursive feasibility for these two triggering strategies, which refer to the prediction horizon, the triggering level, and the disturbance bound, are obtained, respectively. Input-to-state practical stability (ISpS) of both event-triggered control systems is established without requiring the system state entering the terminal set in finite time, respectively. Finally, the numerical simulation shows the effectiveness of the proposed methods. © 2013 IEEE.

关键词： Model predictive control

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