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arXiv 2024年

作者： Wu, Tong Wang, Yong Department of Mathematics Northeastern University Shenyang110819 China Key Laboratory of Data Analytics and Optimization for Smart Industry Ministry of Education Northeastern University Liaoning Shenyang110819 China School of Mathematics and Statistics Northeast Normal University Changchun130024 China

In [5], Connes and Chamseddine defined a cycle in the general framework of noncommutative geometry. They computed this cycle for the Dirac operator on 4-dimensioanl manifolds. We propose a way to study the Connes-Chamseddine cycle from the viewpoint of the noncommutative integral on 6-dimensional manifolds in this paper. Furthermore, we compute several interesting noncommutative integral defined in [8] by the normal coodinated way on n-dimensional manifolds. As a corollary, the Connes-Chamseddine cycle on 6-dimensional manifolds is obtained. Copyright © 2024, The Authors. All rights reserved.

关键词： Choquet integral

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Research and Application on Cross-source Point Cloud Registration Method Based on Unsupervised Learning

Research and Application on Cross-source Point Cloud Registr...

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IEEE International Conference on Cyber Technology in Automation, Control, and Intelligent Systems

作者： Xiao J. Sun Wen H. Li Jun W. Huang Dong Y. Chen Tong Jia College of Information Science and Engineering Northeastern University Shenyana China Foshan Graduate School of Innovation Northeastern University Key Laboratory of Data Analytics and Optimization for Smart Industry (Northeastern University) Ministry of Education China

With the development and gradual richness of 3D sensors, cross-source point cloud registration has become one of the emerging research contents in the field of 3D reconstruction in recent years, which can be widely used in the 3D reconstruction of space scenes and the construction of unmanned maps. In view of the above problems, the main content and innovation of this paper are as follows: we propose a point cloud down-sampling algorithm based on adaptive voxel grid filtering and build a point cloud feature extraction model based on deep network. Different from the traditional point cloud registration by searching for correspondences, we propose to build a relationship model between the features of the point cloud and the transformation matrix, and iteratively solve the transformation matrix by improving the LK algorithm. Meanwhile, we propose unsupervised loss function based on bidirectional Euclidian distance. The experimental comparison proves that the 3D reconstruction effect of the cross-source point cloud registration method in this paper is better than that of the traditional point cloud registration.

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Multi-AUV Cooperative Underwater Multi-Target Tracking Based on Dynamic-Switching-enabled Multi-Agent Reinforcement Learning

arXiv

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arXiv 2024年

作者： Wang, Shengbo Lin, Chuan Han, Guangjie Zhu, Shengchao Li, Zhixian Wang, Zhenyu Ma, Yunpeng Software College Northeastern University Shenyang China Key Laboratory of Data Analytics and Optimization for Smart Industry Northeastern University Ministry of Education China Department of Internet of Things Engineering Hohai University Changzhou213022 China Jiangsu Key Laboratory of Power Transmission and Distribution Equipment Technology Hohai University China

In recent years, autonomous underwater vehicle (AUV) swarms are gradually becoming popular and have been widely promoted in ocean exploration or underwater tracking, etc. In this paper, we propose a multi-AUV cooperative underwater multi-target tracking algorithm especially when the real underwater factors are taken into account. We first give normally modelling approach for the underwater sonar-based detection and the ocean current interference on the target tracking process. Then, based on software-defined networking (SDN), we regard the AUV swarm as a underwater ad-hoc network and propose a hierarchical software-defined multi-AUV reinforcement learning (HSARL) architecture. Based on the proposed HSARL architecture, we propose the"Dynamic-Switching" mechanism, it includes"Dynamic-Switching Attention" and"Dynamic-Switching Resampling" mechanisms which accelerate the HSARL algorithm’s convergence speed and effectively prevents it from getting stuck in a local optimum state. Additionally, we introduce the reward reshaping mechanism for further accelerating the convergence speed of the proposed HSARL algorithm in early phase. Finally, based on a proposed AUV classification method, we propose a cooperative tracking algorithm called Dynamic-Switching-Based MARL (DSBM)driven tracking algorithm. Evaluation results demonstrate that our proposed DSBM tracking algorithm can perform precise underwater multi-target tracking, comparing with many of recent research products in terms of various important metrics. Copyright © 2024, The Authors. All rights reserved.

关键词： Reinforcement learning

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Single-Stage Grasping Algorithm for the Manipulator Based on Rotational Gaussian Encoding

Single-Stage Grasping Algorithm for the Manipulator Based on...

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IEEE International Conference on Cyber Technology in Automation, Control, and Intelligent Systems

作者： Zhenghao Liu Yizhe Liu Guowei Yang Dongyue Chen Tong Jia College of Information Science and Engineering Northeastern University Shenyang China Foshan Graduate School of Innovation Northeastern University Key Laboratory of Data Analytics and Optimization for Smart Industry Ministry of Education Northeastern University China

As we all know, there is an unsolved problem for robots to accurately and quickly grasp unknown objects in an unstructured environment. In order to describe the pose information of objects more accurately, a rotational Gaussian encoding method is proposed in this paper. Different from the traditional 2-D Gaussian encoding to represent ground-truth, this method introduces rotation information based on 2-D Gaussian. Grasping is made more accurate and robust by treating the grasp pose as a rotating bounding box in the image plane. In addition, a balanced loss function is introduced in this paper. This loss function not only solves the problem of positive and negative sample imbalance in the traditional cross-entropy loss but also reduces the penalty of points around the Gaussian center location. In this paper, a pixel-level single-stage grasping algorithm is designed in an end-to-end manner without the intermediate process of using anchor points, which saves time and improves the accuracy of grasping simultaneously. Then, the proposed model in this paper is evaluated on two standard datasets, Cornell dataset and Jacquard dataset, achieving 96.8% and 94.7% accuracy, respectively. Finally, we use a 6 DoF UR5e robotic arm for real-world grasping experiments. The success rate of single-object grasping is 94.7% and the time to generate the grasp frame is 8 ms. Experiments demonstrat that the algorithm is equally effective in real-world environments and has a faster detection time.

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EFC-CenterNet: A Lightweight Network for Prohibited Object Detection

EFC-CenterNet: A Lightweight Network for Prohibited Object D...

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IEEE International Conference on Cyber Technology in Automation, Control, and Intelligent Systems

作者： Cheng Han Yinyimo Wu Tong Jia Dongyue Chen College of Information Science and Engineering Northeastern University Shenyang China Key Laboratory of Data Analytics and Optimization for Smart Industry (Northeastern University) Ministry of Education China Foshan Graduate School of Innovation Northeastern University

Security inspection is an indispensable aspect of contemporary life and it plays a crucial role in ensuring personal safety at all times. In this regard, the accurate and prompt detection of prohibited objects is imperative. To further improve the detection accuracy of CenterNet on prohibited objects images while maintaining its high-speed detection capabilities, we make the following improvements. Firstly, to tackle the challenges related to complex and overlapping x-ray images, the Efficient Channel Attention module (ECA-Net) has been introduced to augment the feature extraction ability of the CenterNet for prohibited objects. Secondly, the Feature Pyramid Network (FPN) has been employed to amplify the feature acquisition capability of small prohibited objects. Finally, the Complete-IoU (CIoU) loss has been implemented to achieve faster convergence by minimizing the distance between the predicted bounding box and the corre-sponding ground truth while ensuring scale invariance of the two bounding boxes. The experimental results demonstrate that the EFC-CenterNet can effectively balance both accuracy and speed in real-time detection of contraband items, achieving an impressive 84.27% mAP and 52.48 FPS.

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PID-YOLOX: An X-Ray Prohibited Items Detector Based on YOLOX

PID-YOLOX: An X-Ray Prohibited Items Detector Based on YOLOX

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IEEE International Conference on Cyber Technology in Automation, Control, and Intelligent Systems

作者： Mingyuan Li Bowen Ma Hao Wang Yingbo Li Dongyue Chen Tong Jia College of Information Science and Engineering Northeastern-University Shenyang China Foshan Graduate School of Innovation Northeastern University Key Laboratory of Data Analytics and Optimization for Smart Industry Ministry of Education Northeastern University China

X-ray prohibited items detection is an effective and crucial measure in various security inspection scenarios. However, the overlapping phenomenon in X-ray images exacerbates the foreground-background class imbalance, and the imaging principle of X-ray images results in missing texture features. To address these challenges, we propose an end-to-end X-ray Prohibited Items Detector (PID-YOLOX) based on YOLOX-Tiny, which offers fast detection speed and high accuracy. Specifically, we introduce the Generalized Label Assignment (GLA) scheme to tackle the foreground-background class imbalance problem, and the Multi-Cardinality Attention (MCA) mechanism to alleviate the issue of missing texture features. Our experimental results show that PID-YOLOX achieves 54.9% average precision (AP) on the PIXray dataset, surpassing YOLOX-Tiny by 2.2% AP. Furthermore, extensive experiments demonstrate that PID-YOLOX is superior to the state-of-the-art methods, indicating its potential applications in the prohibited items detection field.

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Al_xCoCrCuFeNi (X = 0, 0.8) high entropy alloys fabricated by laser powder bed fusion

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Heat Treatment and Surface Engineering 2024年第1期6卷

作者： Feng, Zhengjie Gao, Jingbo Zhang, Deliang School of Materials Science and Engineering Northeastern University Shenyang China National Frontiers Science Center for Industrial Intelligence and Systems Optimization Northeastern University Shenyang China Key Laboratory of Data Analytics and Optimization for Smart Industry (Ministry of Education) Northeastern University Shenyang China

The AlxCoCrCuFeNi (x = 0, 0.8) high entropy alloys (HEAs) were prepared by laser powder bed fusion (LPBF), and the effects of volumetric energy density (VED) and heat treatment on microstructures and mechanical proper... 详细信息

The Al_xCoCrCuFeNi (x = 0, 0.8) high entropy alloys (HEAs) were prepared by laser powder bed fusion (LPBF), and the effects of volumetric energy density (VED) and heat treatment on microstructures and mechanical properties of HEAs were investigated. The results show that the CoCrCuFeNi HEA has a single FCC phase structure and exhibits good ductility. Its yield strength is relatively low, being 520 MPa. After the alloy composition was adjusted from CoCrCuFeNi to Al_0.8CoCrCuFeNi, the HEA changed from FCC single-phase to FCC + BCC dual-phase structure and the hardness and compressive properties were significantly improved. Among them, the Al_0.8CoCrCuFeNi HEA prepared with the VED of 167 J/mm³ has the best mechanical properties, with a compressive yield strength of 652 MPa and good plasticity. After annealing at 600°C and 900°C for 1 h, the mechanical properties of HEAs are significantly improved. In particular, the microhardness and compressive yield strength of the Al_0.8CoCrCuFeNi HEA annealed at 600°C for 1 h are 378 HV and 810 MPa, respectively. The coordinated deformation between FCC and BCC domains, back stress strengthening, solid solution strengthening and precipitation strengthening after heat treatment make the Al_0.8CoCrCuFeNi HEA achieve a balance of high strength and good ductility. © 2024 The Author(s). Published by Informa UK Limited, trading as Taylor & Francis Group.

关键词： heat treatment high entropy alloys Laser powder bed fusion mechanical properties microstructures

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XTM-GAN: Generative Adversarial Networks for Tone Mapping of Dual-Energy X-ray Security Images

XTM-GAN: Generative Adversarial Networks for Tone Mapping of...

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IEEE International Conference on Cyber Technology in Automation, Control, and Intelligent Systems

作者： Da Cai Tong Jia Hao Wang Dongyue Chen College of Information Science and Engineering Northeastern University Shenyang Liaoning China Key Laboratory of Data Analytics and Optimization for Smart Industry Ministry of Education Northeastern University Shenyang Liaoning China Foshan Graduate School of Innovation Northeastern University Foshan Guangdong China

ISBN: (数字)9798331506056

ISBN: (纸本)9798331506063

X-ray imaging technology is vital in national public security. However, compressing 16-bit high dynamic range X-ray images into 8-bit displayable images often leads to loss of crucial details, hampering effective security inspection. To address this, we propose XTM-GAN, a dual-energy X-ray tone mapping generative adversarial network, to enhance X-ray imaging quality. By leveraging the properties of dual-energy X-rays, we construct a dedicated dataset called DEXray. We design a dual-branch generation network and a discrimination network that combines global and local image information. Through end-to-end generative adversarial training using pairs of dual-energy HDR and LDR X-ray images, which can generate high-quality X-ray security images. We train and compare our algorithm using the DEXray dataset against other state-of-the-art tone mapping algorithms. The results demonstrate the superior performance of our approach. The proposed method has significant practical applications and holds research significance in the fields of security and transportation.

关键词： Training Image quality Visualization Image coding Heuristic algorithms Transportation Generative adversarial networks High dynamic range Security X-ray imaging

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Model-based rolling matching strategy for crowdsourced drivers and delivery tasks considering uncertain transportation duration

Model-based rolling matching strategy for crowdsourced drive...

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作者： Zhang, Qi Liu, Yang Fan, Zhi-Ping Li, Zong-Lin Department of Information Management and Decision Sciences School of Business Administration Northeastern University Shenyang China Key Laboratory of Data Analytics and Optimization for Smart Industry Ministry of Education Northeastern University Shenyang China

The matching of crowdsourced drivers and delivery tasks is an important decision problem for the crowdsourced delivery platform. Although the existence of uncertainty of transportation duration in logistics delivery has been verified, uncertain transportation duration has not been considered in previous studies on the matching of crowdsourced drivers and delivery tasks. This would lead to the limitation that the results of the existing methods cannot meet the time requirements of senders. In this case, the profit and customer satisfaction of the crowdsourced delivery platform would decrease. In this paper, a model-based rolling matching strategy to match crowdsourced drivers and delivery tasks considering uncertain transportation duration is proposed. In addition, it is assumed that the crowdsourced delivery platform also has some dedicated drivers to implement the delivery tasks that cannot be implemented by crowdsourced drivers. First, a simpler problem is described, which is to match crowdsourced drivers and delivery tasks considering uncertain transportation duration in a static data environment. Then, a model is proposed to solve the above problem. Based on the proposed model, this paper further proposes a rolling procedure to solve the problem in a data refreshing environment. Moreover, a heuristic algorithm is presented for combining multiple delivery tasks to solve the one-to-many matching. Finally, a case study and comparison are given to illustrate the validity and the contribution of the proposed matching strategy. The results show that the proposed matching strategy has a distinct advantage of cost savings. © National Academy of Sciences: Transportation Research Board 2020.

关键词： Customer satisfaction

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Prospects for searching for sterile neutrinos with gravitational wave and γ-ray burst joint observations

arXiv

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arXiv 2024年

作者： Feng, Lu Han, Tao Zhang, Jing-Fei Zhang, Xin College of Physical Science and Technology Shenyang Normal University Shenyang110034 China Liaoning Key Laboratory of Cosmology and Astrophysics College of Sciences Northeastern University Shenyang110819 China MOE Key Laboratory of Data Analytics and Optimization for Smart Industry Northeastern University Shenyang110819 China National Frontiers Science Center for Industrial Intelligence and Systems Optimization Northeastern University Shenyang110819 China

Sterile neutrinos can influence the evolution of the universe, and thus cosmological observations can be used to detect them. Future gravitational-wave (GW) observations can precisely measure absolute cosmological distances, helping to break parameter degeneracies generated by traditional cosmological observations. This advancement can lead to much tighter constraints on sterile neutrino parameters. This work provides a preliminary forecast for detecting sterile neutrinos using third-generation GW detectors in combination with future short γ-ray burst observations from a THESEUS-like telescope, an approach not previously explored in the literature. Both massless and massive sterile neutrinos are considered within the ΛCDM cosmology. We find that using GW data can greatly enhance the detection capability for massless sterile neutrinos, reaching 3σ level. For massive sterile neutrinos, GW data can also greatly assist in improving the parameter constraints, but it seems that effective detection is still not feasible. Copyright © 2024, The Authors. All rights reserved.

关键词： Cosmology

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