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24th IEEE International Conference on Communication Technology, ICCT 2024

作者： Das, Biswarup Prihodko, Maxim Krantsevich, Artem Rakhimov, Abdurasul Jin, Jian Yang, Pingan Dai, Longfei Huawei Moscow Network Algorithm Laboratory Moscow Russia Huawei Data Communication Protocol Development Department Beijing China

ISBN: (纸本)9798350363760

This paper develops an Interior Gateway Protocol (IGP) convergence optimization strategy and proposes an AI-based method to predict a temporary Routing Information Base (RIB) table with high accuracy to be used for packet forwarding while the exact RIB is being computed using a traditional approach, for example Dijkstra algorithm. The proposed method consists of AI-model and the training procedure and considers RIB prediction as a classification task when each Destination in a network is assigned to a class representing corresponding Next Hop. In this work, the complete IGP convergence optimization strategy is implemented and tested in a physical environment for 2 different IGP protocols, namely OSPF and IS-IS. As in traditional IGP process, the AI model takes Link State DataBase (LSDB) and incoming Link State Advertisement (LSA) messages as the input and synthesizes a temporary RIB in the required internal format which is used then for packet forwarding until traditional IGP process finishes exact RIB recomputation. The proposed method is implemented and tested in a physical testbed environment emulating the networks with up to 10000 network elements (routers). The performance evaluation shows methods' ability to predict RIB table with high accuracy and speed, leading to faster IGP convergence which is observed as 2 to 5 times faster packet-loss elimination in the network after a link failure accident. © 2024 IEEE.

关键词： Gateways (computer networks)

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DM Code Key Point Detection algorithm Based on CenterNet

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Computers, Materials & Continua 2023年第11期77卷 1911-1928页

作者： Wei Wang Xinyao Tang Kai Zhou Chunhui Zhao Changfa Liu School of Information Engineering Chang’an UniversityXi’an710018China Algorithm Research and Development Department GRGBanking Equipment Co.Ltd.Guangzhou510663China Research and Development Department Xi’an Soar Electromechanical TechnologyLtd.Xi’an710043China

Data Matrix(DM)codes have been widely used in industrial *** reading of DM code usually includes positioning and *** positioning is a prerequisite for successful *** image processing methods have poor adaptability to pollution and complex *** deep learning-based methods can automatically extract features,the bounding boxes cannot entirely fit the contour of the *** image processing methods are required for precise positioning,which will reduce *** of the above problems,a CenterNet-based DM code key point detection network is proposed,which can directly obtain the four key points of the DM *** with the existing methods,the degree of fitness is higher,which is conducive to direct *** further improve the positioning accuracy,an enhanced loss function is designed,including DM code key point heatmap loss,standard DM code projection loss,and polygon Intersection-over-Union(IoU)loss,which is beneficial for the network to learn the spatial geometric characteristics of DM *** experiment is carried out on the self-made DM code key point detection dataset,including pollution,complex background,small objects,etc.,which uses the Average Precision(AP)of the common object detection metric as the evaluation *** reaches 95.80%,and Frames Per Second(FPS)gets 88.12 on the test set of the proposed dataset,which can achieve real-time performance in practical applications.

关键词： DM code key point detection CenterNet object detection enhanced loss function

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Multimodal Mamba: A Versatile Multimodal Model for Seamless Integration into Diverse Downstream Tasks 24

Multimodal Mamba: A Versatile Multimodal Model for Seamless ...

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13th International Conference on Computing and Pattern Recognition, ICCPR 2024

作者： Li, Zongshu Zhu, Guibo Yi, Dongyi Wang, Jinqiao Foundation Model Research Center Institute of Automation Chinese Academy of Sciences Beijing China Algorithm Development Department Wuhan Artificial Intelligence Research Wuhan Hubei China

ISBN: (纸本)9798400717482

Mamba - the selective SSM (S6) model, makes up for inherent shortcomings of Transformer in long sequence processing and has been gaining significant attention from researchers. In this paper, we employ Mamba to build a multimodal chat model - Multimodal Mamba. Inspired by the prevalent structure of multimodal models, MM-Mamba consists of three parts: vision encoder, multimodal projector and language decoder. Firstly, we simply replace the text decoder from Transformer to Mamba. Secondly, considering that parameters and pretraining tokens of Mamba are significantly less than Transformer, we propose a multi-stage training pipeline to train MM-Mamba. Finally, in order to further boost the proficiency of MM-Mamba across a wide range of multimodal downstream tasks, we introduce several powerful techniques, such as higher input image resolution, noisy embedding finetuning. Compared with multimodal large language models (MLLMs) built upon Transformer, MM-Mamba can be adapted to various downstream tasks with extremely low temporal and economic training cost. Experimental results showed that albeit with notably fewer parameters and significantly limited training data volume, remarkable results are achieved by MM-Mamba not only on English benchmarks but also in Chinese downstream tasks. Code is released at here. © 2024 Copyright held by the owner/author(s).

关键词： Mamba

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Field Trial of a New Metropolitan WDM Architecture and Flexible Scheduling based on Optical Layer OAM

Field Trial of a New Metropolitan WDM Architecture and Flexi...

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2024 Asia Communications and Photonics Conference, ACP 2024 and International Conference on Information Photonics and Optical Communications, IPOC 2024

作者： Zhao, Yang Liu, Yucong Li, Xiang Wang, Dong Hu, Changbin Zhang, Dechao Department of Fundamental Network Technology China Mobile Research Institute Beijing China Optical System & Algorithm Development Department Huawei Technologies Co. Ltd. Wuhan China

A novel wavelength pooling technology and a flexible scheduling method based on optical layer OAM (O-OAM) are proposed. Costs of network construction and maintenance are reduced significantly, and service latency is r... 详细信息

ISBN: (纸本)9798350379266

关键词： Centralized Control Metropolitan Transport Network Optical Layer OAM Wavelength Pooling

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Reinforcement Learning Based End-to-end Autonomous Obstacle Avoidance for Manipulators

Reinforcement Learning Based End-to-end Autonomous Obstacle ...

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2023 China Automation Congress, CAC 2023

作者： Zhang, WenPeng Chen, Dan Sun, Xiao Huang, WeiBing Xu, ZheZhuang Fuzhou University School of Electrical Engineering and Automation Fuzhou China Shenzhen Evomotion Co. Ltd Algorithm Development Department Shenzhen China

ISBN: (纸本)9798350303759

In this paper, a simple end-to-end obstacle avoidance method is introded for manipulators. First of all, the 2D images in the workspace are used to uniformly describe the characteristics of obstacles in the 3D space. After that, a model-free reinforcement learning algorithm DrQ-v2 is used to train the obstacle avoidance strategy, which directly outputs the joint angles to avoid the obstacles autonomously and accurately in the joint space. Finally, the simulation results demonstrate that the proposed end-to-end simple control method is more effective and convenient in handling obstacle avoidance tasks in complex dynamic environments. © 2023 IEEE.

关键词： Reinforcement learning

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Fast Rail Surface Inspection Method and System Based on 3D Line Laser Imaging 30

Fast Rail Surface Inspection Method and System Based on 3D L...

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30th International Conference on Mechatronics and Machine Vision in Practice, M2VIP 2024

作者： Liu, Lingshu Kang, Yihua Liu, Fuqiang Liu, Shiyuan Huazhong University of Science and Technology School of Mechanical Science and Engineering Wuhan China Software Algorithm Department Beijing Metallurgical Technology Development Co. LTD. Beijing China

ISBN: (纸本)9798350391916

Due to the significance and complexity of rail surface quality inspections on production lines, manual completion is inefficient. Existing 3D vision techniques, such as stereo vision, are too complex and cumbersome for industrial use. This paper introduces a straightforward and fast line laser calibration method, along with a rail surface defect detection approach using line laser 3D reconstruction. By projecting line lasers onto the sides of a calibration board of specific thickness, the position of the laser centerlines in the side areas is extracted to ascertain the world coordinates of the corresponding point clouds. Four sets of line laser measurement devices are then employed to conduct a full coverage scan of the rail. A streamlined multi-camera joint calibration method is presented, which stitches together 3D point clouds from various perspectives to recreate the complete cross-sectional profile of the rail. After transforming into a surface depth variation map, defects are identified based on depth thresholds. The method not only precisely locates and categorizes defects but also reduces reconstruction errors by 0.1mm and simplifies the calibration process by eliminating the need for multiple rotations of calibration targets, thereby speeding up and enhancing the feasibility of industrial application. The approach overcomes the complexities and cumbersome processes associated with traditional methods not suited for industrial settings. The system can detect at a speed of 1.5m/s, identifying surface defects deeper than 0.3mm with a verified accuracy of less than 0.02mm, thus fulfilling the requirements for rail surface defect inspection. © 2024 IEEE.

关键词： Inspection

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Field Trial of End-to-end Management and Control of Semiactive WDM System for 5G Centralized Front-haul Network

Field Trial of End-to-end Management and Control of Semiacti...

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2023 Optical Fiber Communications Conference and Exhibition, OFC 2023

作者： Zhao, Yang Sun, Jiang Zheng, Haomian Yu, Chaode Wang, Dong Cai, Qian Li, Yunbo Han, Liuyan Zhang, Dechao Li, Han China Mobile Research Institute Department of Network and It Technology Beijing100053 China Huawei Technologies Co. Ltd Optical System & Algorithm Development Department Wuhan430223 China

A novel management and control architecture and abstract model of semi-active WDM system for 5G front-haul network are proposed. The functions of device information acquisition, alarm monitoring and fault location is ... 详细信息

ISBN: (纸本)9781957171180

关键词： 5G mobile communication systems

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High accuracy localization and docking for mobile robots in low dynamic environments 4

High accuracy localization and docking for mobile robots in ...

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4th International Conference on Neural Networks, Information and Communication Engineering, NNICE 2024

作者： Hu, Lizhi Lu, Wei Li, Xiang Lin, Hui Zhejiang HuaRay Technology Co. Lt. Navigation and Localization Algorithm Department Hangzhou China Zhejiang HuaRay Technology Co. Lt. Software Research and Development Center Hangzhou China

ISBN: (纸本)9798350394375

Localization and Navigation technology of mobile robots is becoming increasingly important in production and manufacturing factory. It is necessary to ensure localization and docking accuracy at high accuracy points and routes. In this paper, we propose a high-accuracy localization method based on 2D laser, wheel odometry, and prior probability grid map. The algorithm can maintain the accuracy of robot trajectory estimation in an dynamic environment that changes over time. Two resolution prior probability grid maps are constructed to determine the initial pose of the mobile robot. A factor graph model is constructed, allowing multiple relative or absolute observations, to be added to the factor graph as factors. During localization, two local submaps are constructed in real time, and are jointly optimized with prior maps before being used to the local scan matching. The laser odometry is generated by using local submaps scan matching, and is added to the factor graph model along with the wheel odometry and prior map scan matching. At the same time, several artificial features are designed at high-accuracy docking target points, and ensure the final docking accuracy by identifying artificial features. © 2024 IEEE.

关键词： Mobile robots

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IGP Convergence Optimization with AI

IGP Convergence Optimization with AI

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International Conference on Communication Technology (ICCT)

作者： Biswarup Das Maxim Prihodko Artem Krantsevich Abdurasul Rakhimov Jian Jin Pingan Yang Longfei Dai Moscow Network Algorithm Laboratory Huawei Moscow Russia Data Communication Protocol Development Department Huawei Beijing China

ISBN: (数字)9798350363760

ISBN: (纸本)9798350363777

This paper develops an Interior Gateway Protocol (IGP) convergence optimization strategy and proposes an AI-based method to predict a temporary Routing Information Base (RIB) table with high accuracy to be used for packet forwarding while the exact RIB is being computed using a traditional approach, for example Dijkstra algorithm. The proposed method consists of AI-model and the training procedure and considers RIB prediction as a classification task when each Destination in a network is assigned to a class representing corresponding Next Hop. In this work, the complete IGP convergence optimization strategy is implemented and tested in a physical environment for 2 different IGP protocols, namely OSPF and IS-IS. As in traditional IGP process, the AI model takes Link State DataBase (LSDB) and incoming Link State Advertisement (LSA) messages as the input and synthesizes a temporary RIB in the required internal format which is used then for packet forwarding until traditional IGP process finishes exact RIB recomputation. The proposed method is implemented and tested in a physical testbed environment emulating the networks with up to 10000 network elements (routers). The performance evaluation shows methods’ ability to predict RIB table with high accuracy and speed, leading to faster IGP convergence which is observed as 2 to 5 times faster packet-loss elimination in the network after a link failure accident.

关键词： Training Accuracy Logic gates Routing Routing protocols Time measurement Artificial intelligence Ribs Optimization Convergence

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The Control Principle and Mathematical Model of Intelligent Solar Panels

The Control Principle and Mathematical Model of Intelligent ...

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2021 International Conference on Robotics Automation and Intelligent Control, ICRAIC 2021

作者： Chen, Wenxing Dai, Shuyang Zheng, Baojuan Tang, Zhuyan Lin, Hao School of Mathematics and Statistics Wuhan University Wuhan430072 China Department of Algorithm Research and Development Commerical Vehicle Technology Center SAIC Motor Group Co.Ltd Shanghai200433 China

Energy is an important material that promotes social development and maintains human life. Clean energy has become a scientific research theme of open world which appeal to many scientists to research it. This paper inspired by the experience of sunflower growth. So we proposed a mathematical model for automatic adjustment of the maximum luminous flux for a limited solar panel, which can help to adjust the best light position. The physical model added to the light detector in the practical application, real-time comparison of the difference in illumination at different positions to adjust the direction of solar panel, thereby enhancing the utilization of light energy. In addition, in order to save space and prevent severe weather attacks, we designed a autofolding circle disc and retractable rectangular solar panels. The intelligent system judgement and decision making based on the electrical signals fed back by the wind sensor or the vibration sensor. When the wind speed reaches the threshold, it can be folded or contracted automatically, reducing manual maintenance. The fully automatic solar panels are designed in this paper, the research results show that theis model has a high utilization, strong sensitivity, safety and durability, and easy control. This is also a process of theoretical exploration of interdisciplinary services for the energy system. © 2022 Institute of Physics Publishing. All rights reserved.

关键词： Solar energy

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