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arXiv 2021年

作者： Zhang, Jiachen Zuo, Xingquan Xu, Mingying Han, Jing Zhang, Baisheng Key Laboratory of Trustworthy Distributed Computing and Service Ministry of Education Beijing Uinversity of Posts and Telecommunications Beijing China Key Laboratory of Intelligent Telecommunication Software and Multimedia Beijing Uinversity of Posts and Telecommunications Beijing China Network Interface Virtualization Shanghai System Design Deptment Zhongxing Telecommunication Equipment Corporation Shanghai China

Accurate network traffic prediction of base station cell is very vital for the expansion and reduction of wireless devices in base station cell. The burst and uncertainty of base station cell network traffic makes the network traffic nonlinear and non-stationary, which brings challenges to the long-term prediction of network traffic. In this paper, the traffic model LMA-DeepAR for base station network is established based on DeepAR. Acordding to the distribution characteristics of network traffic, this paper proposes an artificial feature sequence calculation method based on local moving average (LMA). The feature sequence is input into DeepAR as covariant, which makes the statistical characteristics of network traffic near a period of time in the past be considered when updating parameters, and the interference of non-stationary network traffic on model training will be reduced. Experimental results show that the proposed prediction approach (LMA-DeepAR) outperforms other methods in the overall long-term prediction performance and stability of multi cell network traffic. Copyright © 2021, The Authors. All rights reserved.

关键词： Base stations

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Prediction model of bone drilling temperature based on heat source method in surgical rehabilitation

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Procedia CIRP 2020年 89卷 263-269页

作者： Yahui Hu Zhiqiang Yan Xiangjun Li Chunqiu Zhang Qingchun Zheng Tianjin Key Laboratory of the Design and Intelligent Control of the Advanced Mechatronical System Tianjing University of Technology Tianjin China School of Mechanical Engineering Tianjin University of Technology Tianjin China

In order to feedback the cutting temperature in real time during the operation with the surgical robot, this study established a temperature prediction model to analyze the temperature distribution of the cortex. In this work, a three-dimensional governing equation for heat transfer of bone tissue during drilling is proposed, and the heat transfer of cortical bone is evaluated by a reverse heat transfer method. The prediction model was validated by experimental methods and the heat affected zone (HAZ) of cortical bone was analyzed. The results show that the prediction results are in good agreement with the relevant experimental results. HAZ increases with increasing rate of penetration; the closer the bone hole is, the earlier the temperature rises; and the temperature at which the cortical bone is difficult to measure (radial distance x < 0.5 mm) is predicted. The predictive model can accurately predict the temperature distribution of the cortical bone and prevent the occurrence of thermal damage. Provide technical support for the development of medical rehabilitation robots. And reduce the patient’s secondary injury, which is conducive to rapid recovery after surgery.

关键词： Cortical bone drilling Temperature estimation Inverse heat transfer problem Thermal damage rehabilitative

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Corrigendum to “A dynamic simulation framework based on hybrid modeling paradigm for parallel scheduling systems in warehouses” [Simulation Modelling Practice and Theory 133 (2024) 1–24 /102921]

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Simulation Modelling Practice and Theory 2024年 135卷

作者： YuQin Zeng WenBing Li ChangHai Li State Key Laboratory of Metallurgical Intelligent Manufacturing System Automation Research and Design Institute of Metallurgical Industry Co. Ltd Beijing 100071 China Tangshan Iron and Steel Group Co. Ltd Tangshan Hebei 063000 China

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Simulation study on the hydrodynamic characteristics and stability of an Open-Frame underwater towed body

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Ocean Engineering 2025年 337卷

作者： Haoran Gao Hao Xu Ying Ma Yafeng Liu Xiaofeng Liang MOE Key Laboratory of Marine Intelligent Equipment and System Shanghai Jiao Tong University Shanghai 200240 China China Ship Development & Design Center (Shanghai) Shanghai 201108 China People's Liberation Army Troop 63969 Nanjing 211100 China

To enhance the payload capacity of underwater towed systems, this study designs and simulates a novel open-frame towed body, addressing challenges in analyzing high-speed hydrodynamic characteristics and internal frame flow interactions. Computational fluid dynamics (CFD) simulations are conducted to investigate the effects of pitch angle and towing speed on hydrodynamic performance and motion stability. A motion and dynamic model is developed, with the surrounding fluid described by the Reynolds-Averaged Navier-Stokes (RANS) equations and solved using the Realizable k - ε turbulence model. Model validation using open-source data and towing tank experiments shows good agreement, supporting the reliability of the simulation. Results show that lateral hydrodynamic force increases with pitch angle at constant speed, although fluctuation magnitude decreases. At constant angle, both the force and its fluctuation increase with speed, particularly at larger angles. Flow instability originates from the head structure, which induces asymmetric turbulence and leads to uneven downstream flow, causing fluctuating lateral forces and motion instability. At high speeds and large pitch angles, the towed body cannot maintain a linear trajectory. To improve hydrodynamic stability, further optimization of the geometric profile and structural layout is required, or an advanced attitude control system must be implemented.

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In-Situ Biaxial Cyclic Loading Behavior of Articular Cartilage and its Microstructure Analysis

SSRN

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SSRN 2022年

作者： Gao, Lilan Feng, Luming Tan, Yansong Liu, Gang Li, Ruixin Gao, Hong Zhang, Chunqiu 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 Tianjin Stomatological Hospital Tianjin300041 China School of Chemical Engineering and Technology Tianjin University Tianjin300350 China

Altered cyclic loading may change the mechanical properties, further inducing damage to articular cartilage. In this study, we studied the biaxial cyclic loading behavior of knee articular cartilage and analyzed the changes of microstructure at fibril level. Firstly, the in-plane biaxial cyclic behaviors of cartilage were investigated with an emphasis on the effects of loading paths to account for complicated loading states in daily activities. The results show that the strain evolution in X-direction is obviously affected by the constraints in Y-direction (orthogonal direction). The loading path has a great influence on the biaxial mean strain, while due to no constraint and the largest stress constraint in Y direction, proportional loading path and uniaxial loading path show the highest and lowest mean strain in X-direction, respectively. Subsequently, the effects of stress amplitude and stress peak holding time on mean strain were probed under square path. It was found that the mean strain of cartilage increases with the increase of stress amplitude or peak stress holding time. In addition, to reveal the inherent deformation mechanism, the collagen fibrils networks before and after biaxial cyclic loading were analyzed. The rearrangement of collagen fibrils networks is related to the stress state of cartilage. Larger stress leads to severer fiber damage in cartilage. © 2022, The Authors. All rights reserved.

关键词： Cartilage

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Weld image dust removal algorithm based on fusion of bright channel and weighted guide dark channel

UPB Scientific Bulletin, Series C: Electrical Engineering an...

引用

UPB Scientific Bulletin, Series C: Electrical Engineering and Computer Science 2020年第4期82卷 69-80页

作者： Zheng, Qingchun Lu, Kaijie Ma, Wenpeng Zhang, Zhidong Zhu, Peihao Liu, Jingna Hu, Yahui Tianjin Key Laboratory for Advanced Mechatronic System Design and Intelligent Control School of Mechanical Engineering Tianjin University of Technology Tianjin300384 China Tianjin300384 China

The dust removal technology of weld image is helpful to promote the development of weld target detection and tracking control. Aiming at the problem that the image restoration algorithm has halo phenomenon in depth discontinuity and easy to cause color distortion, this paper proposes a single image restoration algorithm based on fusion of bright channel and weighted guided dark channel for dedusting of weld image. Firstly, the bright channel hypothesis is derived according to dark channel priori (DCP), and the bright channel obtained by the adaptive method will fuse with the dark channel image to construct the fusion channel. Then, the weighted guided filter is used to optimize the rough transmittance. Finally, the restored image of the weld is recovered according to the atmospheric scattering model and the restored atmospheric light. Simulation experiments and image quality analysis show that the proposed algorithm can recover the details of the weld image and suppress the halo phenomenon. The image segmentation networks are used to further verify that our algorithm can improve the accuracy and integrity of weld segmentation. © 2020, Politechnica University of Bucharest. All rights reserved.

关键词： Image segmentation

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Flexible Strain sensors Fabricated by Fused Deposition Modeling-Based Multimaterial 3D Printing with Conductive Polyurethane Composites*

Flexible Strain Sensors Fabricated by Fused Deposition Model...

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International Conference on Mechatronics and Machine Vision in Practice (M2VIP)

作者： Xiaodan Yang Huilin Ren Chenchen Wu Yi Xiong Qi Ge Southern University of Science and Technology Shenzhen China School of System Design and Intelligent Manufacturing Southern University of Science and Technology Shenzhen China Guangdong Provincial Key Laboratory of Human-Augmentation and Rehabilitation Robotics in Universities Southern University of Science and Technology Shenzhen China

ISBN: (纸本)9781665431545

Flexible strain sensors have attracted much attention due to their excellent stretchability, conformability and ability to measure large deformations. These sensors have found a wide range of applications, including health tracking, human-machine interaction, and human motion monitoring. However, current mass-production methods do not support the small-batch customization of flexible strain sensors, and the additional mounting step reduces the structural integrity. This paper presents a widely accessible approach for the rapid fabrication of flexible strain sensors that are directly printed onto objects in an on-demand and reliable manner by exploring the multimaterial fused deposition modeling techniques and optimizing the composition of functional filaments. Furthermore, the feasibility and effectiveness of the proposed method are demonstrated in the development of customized, flexible strain sensors that have complex sensing patterns and geometries.

关键词： Geometry Solid modeling Tracking Three-dimensional printing Strain measurement Capacitive sensors sensors

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Integration of Mixture of Experts and Multimodal Generative AI in Internet of Vehicles: A Survey

arXiv

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arXiv 2024年

作者： Xu, Minrui Niyato, Dusit Kang, Jiawen Xiong, Zehui Jamalipour, Abbas Fang, Yuguang Kim, Dong In Shen, Xuemin The School of Computer Science and Engineering Nanyang Technological University Singapore639798 Singapore The School of Automation Guangdong University of Technology Key Laboratory of Intelligent Information Processing and System Integration of IoT Ministry of Education Guangzhou510006 China Guangdong-HongKong-Macao Joint Laboratory for Smart Discrete Manufacturing Guangzhou510006 China The Pillar of Information Systems Technology and Design Singapore University of Technology and Design Singapore487372 Singapore The School of Electrical and Information Engineering University of Sydney SydneyNSW2006 Australia Department of Computer Science City University of Hong Kong Kowloon Hong Kong The Department of Electrical and Computer Engineering Sungkyunkwan University Suwon16419 Korea Republic of The Department of Electrical and Computer Engineering University of Waterloo WaterlooONN2L 3G1 Canada

Generative AI (GAI) can enhance the cognitive, reasoning, and planning capabilities of intelligent modules in the Internet of Vehicles (IoV) by synthesizing augmented datasets, completing sensor data, and making sequential decisions. In addition, the mixture of experts (MoE) can enable the distributed and collaborative execution of AI models without performance degradation between connected vehicles. In this survey, we explore the integration of MoE and GAI to enable Artificial General Intelligence in IoV, which can enable the realization of full autonomy for IoV with minimal human supervision and applicability in a wide range of mobility scenarios, including environment monitoring, traffic management, and autonomous driving. In particular, we present the fundamentals of GAI, MoE, and their interplay applications in IoV. Furthermore, we discuss the potential integration of MoE and GAI in IoV, including distributed perception and monitoring, collaborative decision-making and planning, and generative modeling and simulation. Finally, we present several potential research directions for facilitating the integration. © 2024, CC BY.

关键词： Integration

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Experimental Analysis of the Performance of a Hexapod Robot based on the Dynamic Parameters

Experimental Analysis of the Performance of a Hexapod Robot ...

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IEEE International Conference on Cyber Technology in Automation, Control, and intelligent systems

作者： Muhammad Affan Arif Aibin Zhu Han Mao Pengcheng Zhu Jiyuan Song Yao Tu Huang Shen Institute of Robotics & Intelligent Systems and Shaanxi Key Laboratory of Intelligent Robots Xi'an Jiaotong University Xi'an China Institute of Robotics & Intelligent Systems and Key Laboratory of Education Ministry for Modern Design and Rotor-Bearing System Xi'an Jiaotong University Xi'an China

ISBN: (数字)9781728190105

ISBN: (纸本)9781728190112

In this paper, the experimental performance of a small hexapod robot driven by C-shaped legs has primarily been analyzed, based on its vertical and horizontal acceleration, for a chosen set of triangle gait phase angles. Firstly, a kinematic model was established for the hexapod robot designed by the Institute of Robotics and intelligent systems at Xi'an Jiaotong University. The triangle gait experiments were conducted on this robot, including straight line motion, turning motion, motion on a rugged terrain, climbing over an obstacle, and walking down a step. The acceleration during the course was plotted for each of the mentioned scenarios and the patterns were analyzed by relating to different experimental aspects. The robot achieved a maximum angular velocity of about 0.65 rad/s, crossed an obstacle of 4.5cm height and descended down a 13.5 cm high step. The analysis provides the ground towards the optimization of the triangular gait of the hexapod robot driven by C-shaped legs for robust movement.

关键词： Legged locomotion Robots Acceleration Kinematics Turning Gravity Synchronization

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Mapping the Antiparallel Aligned Stripe Domain Rotation by Microwave Excitation

SSRN

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SSRN 2024年

作者： Zhang, Jing Cui, Yuanzhi Wang, Xiaoyu Wang, Chuang Liu, Mengchen Xu, Jie Li, Kai Zhao, Yunhe Lu, Zhenyan Pan, Lining Jin, Chendong Liu, Qingfang Wang, Jianbo Wang, Fangzhou Adam, Roman Schneider, Claus Michael Cao, Derang College of Physics Qingdao University Qingdao266071 China National Demonstration Center for Experimental Applied Physics Education Qingdao University Qingdao266071 China SKLSM Institute of Semiconductors Chinese Academy of Sciences Beijing100083 China College of Chemistry Chemical Engineering and Resource Utilization Northeast Forestry University Harbin150040 China Hunan Provincial Key Laboratory of Intelligent Sensors and Advanced Sensor Materials School of Physics and Electronics Hunan University of Science and Technology Xiangtan411201 China CAS Key Laboratory of Magnetic Materials and Devices Ningbo Institute of Materials Technology and Engineering Chinese Academy of Sciences Ningbo315201 China Hebei University China Key Laboratory of Special Functional Materials and Structural Design Ministry of Education Lanzhou University Lanzhou730000 China Key Laboratory of Optic-Electronic Information and Materials of Hebei Province Research Center for Computational Physics College of Physics Science and Technology Hebei University Baoding071002 China Peter Grünberg Institute Forschungszentrum Jülich Jülich52425 Germany Faculty of Physics University of Duisburg-Essen Duisburg47057 Germany Department of Physics University of California Davis DavisCA95616-5270 United States

The evolution process of magnetic domains to external fields is crucial for the modern understanding and application of spintronics. In this study, we investigated the domain rotation of antiparallel-aligned stripe domains through their response to microwave excitation. The excitation was conducted in four orientations defined by the microwave field, magnetic field, and stripe direction, allowing for a comprehensive characterization of the domain's evolution. Our results, which are reproducible and consistent with micromagnetic simulations, provide additional approaches and techniques for comprehending the microscopic mechanisms of magnetic domains and characterizing their rotation. © 2024, The Authors. All rights reserved.

关键词： Magnetic domains

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