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1st IEEE International Conference on Medical Artificial Intelligence, MedAI 2023

作者： Cui, Jiangnan Xia, Junjie Li, Xuan Wang, Yan Qiu, Fufang Xu, Yaochen Xu, Keren Zuo, Chunman School of Computer Science and Technology Institute of Artificial Intelligence Donghua University Shanghai China College of Computer Science and Technology Jilin University Changchun China Huashan Hospital Department of Neurosurgery Shanghai China Shanghai Institute of Biochemistry and Cell Biology Center for Excellence in Molecular Cell Science Chinese Academy of Sciences Cas Key Laboratory of Systems Biology Shanghai China Institute of Artificial Intelligence Donghua University Shanghai China Jilin University Key Laboratory of Symbolic Computation and Knowledge Engineering Ministry of Education Changchun China

ISBN: (纸本)9798350358780

Spatial mass spectrometry imaging (SMSI) technology has enabled the characterization of biomolecule patterns within the tissue microenvironment, yet its analyses suffer from substantial noise. The lack of effective methods for exploiting multi-view features (e.g., spatial location) has hindered their elucidation ability for tissue heterogeneity. Here, we propose MSG, a multimodal modal that integrates histology, spatial location, and MSI data, in deciphering tissue structure by graph neural network. Specifically, MSG learns low-dimensional representations by aggregating histomorphological features from neighboring tiles via graph attention autoencoder. MSG outperforms other methods in identifying spatial domains and denoising data. The subsequent domain-guided differential expression analysis of the denoised data enables the identification of ions with significantly enriched patterns within the recognized domains. MSG exhibits its versatility in handling SMSI data from various platforms. © 2023 IEEE.

关键词： Data integration

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Sum Rate Maximization for RIS-Aided NOMA With Direct Links

IEEE Networking Letters

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IEEE Networking Letters 2022年第2期4卷 55-58页

作者： Li, Xingwang Xie, Zhen Huang, Gaojian Zhang, Jianhua Zeng, Ming Chu, Zheng Henan Polytechnic University School of Physics and Electronic Information Engineering Jiaozuo454000 China Beijing University of Posts and Telecommunications State Key Laboratory of Networking and Switching Technology Beijing100876 China Laval University Department of Electrical and Computer Engineering Quebec CityG1V 0A6 Canada Institute for Communication Systems University of Surrey 5GIC and 6GIC GuildfordGU2 7XH United Kingdom

Reconfigurable intelligent surface (RIS) is an electromagnetic surface, and has abundant low-power reflecting elements which can dynamically tune the wireless propagation environment by changing their phase shifts. Non-orthogonal multiple access (NOMA) technology would be capable of greatly improving the spectral efficiency of communication via differentiating users through power. Via integrating RIS into NOMA to improve wireless system performance, we take an uplink RIS-aided NOMA network with direct links into account, where multiple users communicate with the access point under the assistance of a RIS with multiple elements. We aim to obtain the maximum sum rate by optimizing the phase matrix of RIS subject to users' transmitted power. Two algorithms are put forward to conquer the formulated intricate non-convex puzzle. More exactly, the semidefinite programming is proposed to relax the function while the majorization-minimization is used to derive the closed-form phase shifts. Finally, presented simulation results demonstrate the high performance of proposed schemes compared with no RIS and show the benefits of the existence of direct links. © 2019 IEEE.

关键词： Interlocking signals

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Background-Driven and Foreground-Refined Network for Weakly Supervised Change Detection

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IEEE Transactions on Geoscience and Remote Sensing 2025年 63卷

作者： Liu, Fang Zhang, Peng Liu, Jia Yang, Jingxiang Tang, Xu Xiao, Liang Nanjing University of Science and Technology School of Computer Science and Engineering Nanjing210094 China Jiangsu Province Engineering Research Center of Airborne Detecting and Intelligent Perceptive Technology Nanjing210049 China Nanjing University of Science and Technology School of Computer Science and Engineering Key Laboratory of Analysis of Mathematical Theory and Modeling of Complex Systems Ministry of Industry and Information Technology Nanjing210094 China Xidian University School of Artificial Intelligence Xi'an710071 China

Change detection (CD) in remote sensing aims to reveal meaningful surface changes and has been flourishing in recent years. Compared with fully supervised methods based on pixel-level labels, image-level labels are easy to acquire, which reduces manual labor to a large extent. However, image-level labels lack spatial-and-shape information while containing the least semantic information, which poses a great challenge to the weakly supervised CD task. Motivated by the prior that bi-temporal images have background semantic consistency, we propose a background-driven and foreground-refined network (BDFR-Net) to ameliorate the above problem. Specifically, there are two key components in the proposed method: background-driven reconstruction (BDR) with image-level supervision and foreground-refined learning (FRL) with affinity learning. The former generates changed regions of foreground and background separation, which activates the foreground from image-level supervision and constrains the foreground by maintaining spatial and semantic consistency in background regions. The latter introduces complementary fusion and label adaption (CFLA) strategies to further refine the foreground, which can mine complementary information from foreground sequences and suppress false activations. In addition, affinity learning is proposed to stabilize and supervise the above process. Complementary relationships between the foreground and the background are fully utilized. Tested on two popular CD datasets, the results demonstrate that our proposed BDFR-Net produces completely changed regions with clear boundaries and outperforms state-of-the-art weakly supervised methods. © 1980-2012 IEEE.

关键词： Change detection

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ARMOR: Adaptive Meshing with Reinforcement Optimization for Real-time 3D Monitoring in Unexposed Scenes

arXiv

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arXiv 2025年

作者： Zhang, Yizhe Li, Jianping Zhao, Xin Liang, Fuxun Dong, Zhen Yang, Bisheng State Key Laboratory of Information Engineering in Surveying Mapping and Remote Sensing Wuhan University Wuhan430079 China School of Electrical and Electronic Engineering Nanyang Technological University Singapore School of Computer Science Wuhan University Wuhan430079 China School of Urban Design Wuhan University Wuhan430072 China

Unexposed environments, such as lava tubes, mines, and tunnels, are among the most complex yet strategically significant domains for scientific exploration and infrastructure development. Accurate and real-time 3D meshing of these environments is essential for applications including automated structural assessment, robotic-assisted inspection, and safety monitoring. Implicit neural Signed Distance Fields (SDFs) have shown promising capabilities in online meshing;however, existing methods often suffer from large projection errors and rely on fixed reconstruction parameters, limiting their adaptability to complex and unstructured underground environments such as tunnels, caves, and lava tubes. To address these challenges, this paper proposes ARMOR, a scene-adaptive and reinforcement learning-based framework for real-time 3D meshing in unexposed environments. ARMOR consists of three primary components: (1) a spatio-temporal geometry smoothing module that enhances point cloud density by leveraging temporal information and integrates a context-aware normal vector orientation strategy to improve SDF training in underground settings;(2) a reinforcement learning-based parameter optimization module that dynamically adjusts reconstruction parameters in response to complex environmental characteristics;and (3) ARMOR learns online parameter tuning strategies from prior point cloud datasets through simulation and practice, further improving its adaptability to unseen real environments. The proposed method was validated across more than 3,000 meters of underground environments, including engineered tunnels, natural caves, and lava tubes. Experimental results demonstrate that ARMOR achieves superior performance in real-time mesh reconstruction, reducing geometric error by 3.96% compared to state-of-the-art baselines, while maintaining real-time efficiency. The method exhibits improved robustness, accuracy, and adaptability, indicating its potential for advanced 3D monitoring and m

关键词： SLAM robotics

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Improved High-Speed Thermal Analysis Based on Two-Step Simulation for High-Frequency Transformers 14

Improved High-Speed Thermal Analysis Based on Two-Step Simul...

引用

14th Annual IEEE Applied Power Electronics Conference and Exposition, APEC 2025

作者： Yi, Zheyuan Sun, Kai Li, Qiang Liu, Zengyang Tsinghua University State Key Laboratory of Power System Department of Electrical Engineering Beijing China Delta Electronics Shanghai Co. Ltd. Shanghai China University Blacksburg Center for Power Electronics Systems The Bradley Department of Electrical and Computer Engineering Virginia Polytechnic Institute and State BlacksburgVA United States

ISBN: (纸本)9798331516116

Thermal analysis is a crucial and time-consuming step in the optimization design process of high-frequency transformers (HFTs). This paper proposes an improved thermal analysis method based on heat dissipation-conduction two-step simulation, significantly reducing the computation time while ensuring the accuracy of thermal analysis. Simulation results validate the accuracy and of the proposed method and demonstrate that the proposed method saves 82% of computation time for a single thermal analysis case compared to direct CFD. Experimental results further verify the accuracy of the proposed method. An exemplary application of the proposed method in the optimization design of the HFT illustrates a 98% reduction in computation time for thermal analysis during the optimization process. © 2025 IEEE.

关键词： Thermal modeling

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P4toNFV: Offloading from P4 switches to NFV in programmable data planes

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International Journal of Communication systems 2024年第5期37卷 e5687-e5687页

作者： Pekar, Adrian Makara, Laszlo A. Lai, Yuan-Cheng Lin, Ying-Dar Seah, Winston Department of Networked Systems and Services Faculty of Electrical Engineering and Informatics Budapest University of Technology and Economics Budapest Hungary HUN-REN-BME Information Systems Research Group Budapest University of Technology and Economics Budapest Hungary Department of Information Management National Taiwan University of Science and Technology Taipei Taiwan Department of Computer Science National Yang Ming Chiao Tung University Hsinchu Taiwan School of Engineering and Computer Science Victoria University of Wellington Wellington New Zealand

P4 combines the benefits of hardware-based networking with the adaptability of software-based network operations. However, when faced with intricate network functions, P4 switches reveal constraints in memory and processing primitives. To address these, we advocate offloading traffic demanding intricate processing from the programmable data plane to network function virtualization (NFV). By leveraging this approach, P4 switches handle the core data plane, ensuring maximum performance, whereas virtualized network functions (VNF) cater to the intricate processing. Central to our research is the optimization of this offloading process, specifically considering delay constraints. We developed an analytical model that examines a P4 switch overseen by an SDN controller, integrating an offloading capability to NFV. The principal objective was to determine an offloading rate that minimizes packet processing delay. To this end, we employed a Bounded method, an advancement from Brent's method, to determine this optimal rate. The findings indicate that offloading approximately 66% of packets to the VNF achieves the lowest total delay, registering at 0.1505 (Formula presented.) s. This strategy of optimal offloading can notably reduce the system's average delay as the demand for network functions increases. The optimization technique we adopted exhibited rapid convergence in our experiments, reflecting the method's efficacy. Furthermore, a rigorous parametric sensitivity analysis spanning no offloading, full offloading, and optimal offloading strategies underscores that optimal offloading to NFV consistently augments system performance, particularly in terms of delay reduction. Conclusively, our study furnishes valuable insights into offloading strategies, augmenting the narrative on resource allocation in both PNFs and VNFs. © 2023 The Authors. International Journal of Communication systems published by John Wiley & Sons Ltd.

关键词： Network function virtualization

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CSQF-based Time-Sensitive Flow Scheduling in Long-distance Industrial IoT Networks

arXiv

引用

arXiv 2024年

作者： Huang, Yudong Huang, Tao Zhang, Xinyuan Wang, Shuo Du, Hongyang Niyato, Dusit Yu, Fei Richard The State Key Laboratory of Networking and Switching Technology BUPT Beijing100876 China The Purple Mountain Laboratories Nanjing211111 China The School of Computer Science and Engineering Nanyang Technological University Singapore The Department of Systems and Computer Engineering Carleton University OttawaONK1S 5B6 Canada

Booming time-critical services, such as automated manufacturing and remote operations, stipulate increasing demands for facilitating large-scale Industrial Internet of Things (IoT). Recently, a cycle specified queuing and forwarding (CSQF) scheme has been advocated to enhance the Ethernet. However, CSQF only outlines a foundational equipment-level primitive, while how to attain network-wide flow scheduling is not yet determined. Prior endeavors primarily focus on the range of a local area, rendering them unsuitable for long-distance factory interconnection. This paper devises the cycle tags planning (CTP) mechanism, the first integer programming model for the CSQF, which makes the CSQF practical for efficient global flow scheduling. In the CTP model, the per-hop cycle alignment problem is solved by decoupling the long-distance link delay from cyclic queuing time. To avoid queue overflows, we discretize the underlying network resources into cycle-related queue resource blocks and detail the core constraints within multiple periods. Then, two heuristic algorithms named flow offset and cycle shift (FO-CS) and Tabu FO-CS are designed to calculate the flows' cycle tags and maximize the number of schedulable flows, respectively. Evaluation results show that FO-CS increases the number of scheduled flows by 31.2%. The Tabu FO-CS algorithm can schedule 94.45% of flows at the level of 2000 flows. © 2024, CC BY.

关键词： Integer programming

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System Modelling, Numerical Simulations and Experimental Validation of High Capacity FSO Data Transmission in DWDM Communication Employing Optical Frequency Comb

System Modelling, Numerical Simulations and Experimental Val...

引用

International Conference on Numerical Simulation of Optoelectronic Devices, (NUSOD)

作者： Narmada Rajaram Mahrokh Avazpour Liam Barry Karin Hinzer Trevor Hall Ahmad Atieh School of Electrical Engineering and Computer Science University of Ottawa Ottawa Canada Radio and Optics Communications Laboratory School of Electronic Engineering Dublin City University Glasnevin Dublin 9 Ireland Optiwave System Inc 7 Capella Court University of Ottawa Ottawa Canada

ISBN: (数字)9798350390537

ISBN: (纸本)9798350390544

Dense Wavelength Division Multiplexing (DWDM) optical technology allows transmission of many wavelengths in a single optical channel. In this paper, system modelling and numerical simulations are demonstrated for high-capacity data transmission using an Optical Frequency Comb (OFC). An OFC is generated using fiber loop modulation technique and simulations are carried out using commercially available simulation software –OptiSystem. An OFC with excellent flatness is obtained, which is essential for noise and error reduction. Each comb line is modulated with data and the DWDM multiplexed signal is transmitted over a free-space optical (FSO) channel. The system performance is assessed in terms of Bit Error Rate (BER) and range of the FSO channel. Our experimental results demonstrate that our system aligns well with simulation and can generate an OFC confirming the potential of our approach for applications such as optical communication networks.

关键词： Optical fibers Bit error rate Wavelength division multiplexing Numerical simulation Optical harmonic generation Data models Adaptive optics Numerical models Optical modulation Data communication

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Federated Learning-Empowered AI-Generated Content in Wireless Networks

arXiv

引用

arXiv 2023年

作者： Huang, Xumin Li, Peichun Du, Hongyang Kang, Jiawen Niyato, Dusit Kim, Dong In Wu, Yuan State Key Laboratory of Internet of Things for Smart City University of Macau Taipa China The School of Computer Science and Engineering Nanyang Technological University Singapore School of Automation Guangdong University of Technology Guangzhou510006 China The Department of Electrical and Computer Engineering Sungkyunkwan University Suwon16419 Korea Republic of Department of Computer and Information Science University of Macau Taipa China

Artificial intelligence generated content (AIGC) has emerged as a promising technology to improve the efficiency, quality, diversity and flexibility of the content creation process by adopting a variety of generative AI models. Deploying AIGC services in wireless networks has been expected to enhance the user experience. However, the existing AIGC service provision suffers from several limitations, e.g., the centralized training in the pre-training, fine-tuning and inference processes, especially their implementations in wireless networks with privacy preservation. Federated learning (FL), as a collaborative learning framework where the model training is distributed to cooperative data owners without the need for data sharing, can be leveraged to simultaneously improve learning efficiency and achieve privacy protection for AIGC. To this end, we present FL-based techniques for empowering AIGC, and aim to enable users to generate diverse, personalized, and high-quality content. Furthermore, we conduct a case study of FL-aided AIGC fine-tuning by using the state-of-the-art AIGC model, i.e., stable diffusion model. Numerical results show that our scheme achieves advantages in effectively reducing the communication cost and training latency and privacy protection. Finally, we highlight several major research directions and open issues for the convergence of FL and AIGC. © 2023, CC BY.

关键词： Wireless networks

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Traffic Signal Control for Large-Scale Urban Traffic Networks: Real-World Experiments using Vision-based Sensors

Traffic Signal Control for Large-Scale Urban Traffic Network...

引用

International Conference on Control and Automation (ICCA)

作者： Jiho Park Tong Liu Chieh Wang Hong Wang Qichao Wang Zhong-Ping Jiang Department of Electrical and Computer Engineering Control and Networks Lab Tandon School of Engineering New York University Brooklyn NY USA Oak Ridge National Laboratory Oak Ridge TN USA National Renewable Energy Laboratory Computational Science Center Golden CO USA

ISBN: (数字)9798350354409

ISBN: (纸本)9798350354416

Effective control of traffic signals plays a critical role in ensuring smooth vehicle flow in urban areas. Expertly engineered traffic signal controllers can considerably minimize travel delays and enhance sustainability. In this paper, the team proposes the Model Predictive Control (MPC) traffic signal control strategy using real-time traffic flow data from a vision-based camera as feedback information. Also, a realistic signal timing plan that considers National electrical Manufacturers Association (NEMA) constraints has been developed to be applied to real-world scenarios. The primary aim is to reduce the number of vehicles across all links in the controlled area, thereby optimizing traffic flow and reducing energy consumption. To validate the proposed method, several real-life experiments were conducted at 24 intersections in Chattanooga, Tennessee, by collaborating with traffic field engineers. These experiments demonstrated significant performance improvements in comparison to the existing method.

关键词： Energy consumption Urban areas Decentralized control Data processing Real-time systems Sensors Delays

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