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AIAA science and Technology Forum and Exposition, AIAA SciTech Forum 2025

作者： Nakai, Kanta Kanazaki, Masahiro Nagai, Hiroki Ikami, Tsubasa Tamaki, Yoshiharu Imamura, Taro Tokyo Metropolitan University Department of Aeronautics and Astronautics Graduate School of Systems Design 10-10 Hino-shi Tokyo191-0065 Japan Institute of Fluid Science Tohoku University 2-1-1 Katahira Miyagi Sendai980-857 Japan Department of Aeronautics and Astronautics School of Engineering The University of Tokyo 7-3-1 Hongo Tokyo Bunkyo-ku113-8656 Japan

ISBN: (数字)9781624107238

ISBN: (纸本)9781624107238

This study investigated the relationship between membrane wings and vein-like structural topologies to design membrane wings. The evaluation method employed coupled calculations using computational fluid dynamics (CFD) and a multi-particle membrane model. CFD utilizes a hierarchical Cartesian grid-based flow solver that can evaluate thin objects. Initially, this study examined a two-dimensional flat plate configured as a flexible membrane wing, exploring the effects of vein-like structures placed between the leading and trailing edges on membrane deformation and aerodynamic coefficients. Subsequently, the research was extended to a three-dimensional flat plate to analyze the impact on membrane deformation and aerodynamic coefficients when vein-like structures were positioned from the wing root to the wing tip. The results of the two-dimensional cases revealed differences in the deformation and aerodynamic coefficients depending on whether the vein-shaped structures were placed near the leading or trailing edge of the wing chord. Notably, when positioned at the center of the chord length, the lift-to-drag ratio improved. In the three-dimensional plate cases, the number of vein-like structures varied. With fewer structures, an increase in lift owing to membrane deformation was observed, along with an increase in drag. Conversely, with more structures, while membrane deformation and the corresponding increase in lift were suppressed, the drag was lower than that of a rigid flat plate. A visualization of the flow demonstrated that the design of vein-like structures influences the camber effect owing to membrane deformation and the suppression of flow separation. These insights provide guidelines for optimizing the lift-to-drag ratio during membrane wing design. © 2025, American Institute of Aeronautics and Astronautics Inc, AIAA. All rights reserved.

关键词： Computational fluid dynamics

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Relip: Reliable in-Band Parallel Communication for Magnetic MIMO Wireless Power Transfer System

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IEEE Transactions on Mobile Computing 2025年

作者： Wang, Xinyu Zhou, Wangqiu Zhou, Hao Jiang, Shenyao Liu, Zhi Wang, Xiaoyan Ji, Yusheng Song, Qi City University of Hong Kong Department of Computer Science Hong Kong University of Science and Technology of China School of Computer Science and Technology Hefei230027 China The University of Electro-Communications Graduate School of Informatics and Engineering Tokyo182-8585 Japan Ibaraki University Graduate School of Science and Engineering Ibaraki310-8512 Japan National Institute of Informatics Information Systems Architecture Science Research Division Tokyo101-0003 Japan

In magnetic resonant coupling (MRC) based wireless power transfer (WPT) systems, receiver (RX) feedback communication is promising to enhance the capability and efficiency of the system. Although some studies have explored in-band implementations with low overhead costs, it has not been comprehensively investigated. In this paper, we propose Relip, a Reliable layer-level in-band parallel feedback communication mechanism for MIMO MRC-WPT systems, which addresses the impact of RX-RX couplings (i.e., non-negligible interference from strong couplings and positive effects of relay phenomenon), and provides a theoretical analysis of communication reliability. Technically, we first devise an On-Off based two-phase modulation mechanism to achieve RX identification and dependency detection under relay phenomenon. Then, we utilize observed channel decomposability to collect group-level power transfer channel conditions for eliminating the interference caused by strong RX-RX couplings. Furthermore, we perform RX selection to optimize the trade-off between communication reliability and time overhead. We design and implement the Relip prototype and conduct extensive experiments. The results validate the effectiveness of our mechanism, i.e., Relip can provide ≥99% average decoding accuracy for concurrent feedback communication of 14 devices, achieving an 18.31% improvement compared to the state-of-the-art solution. © 2002-2012 IEEE.

关键词： Inductive power transmission

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Adaptive UAV-Assisted Hierarchical Federated Learning: Optimizing Energy, Latency, and Resilience for Dynamic Smart IoT Networks

arXiv

引用

arXiv 2025年

作者： Yang, Xiaohong Liwang, Minghui Fu, Liqun Su, Yuhan Hosseinalipour, Seyyedali Wang, Xianbin Hong, Yiguang School of Informatics Xiamen University Fujian China Department of Control Science and Engineering The National Key Laboratory of Autonomous Intelligent Unmanned Systems China Frontiers Science Center for Intelligent Autonomous Systems Ministry of Education Tongji University Shanghai China School of Electronic Science and Engineering Xiamen University Xiamen China Department of Electrical Engineering University at Buffalo-SUNY BuffaloNY United States Department of Electrical and Computer Engineering Western University ON Canada

Hierarchical Federated Learning (HFL) introduces intermediate aggregation layers, addressing the limitations of conventional Federated Learning (FL) in geographically dispersed environments with limited communication infrastructure. An application of HFL is in smart IoT systems, such as remote monitoring, disaster response, and battlefield operations, where cellular connectivity is often unreliable or unavailable. In these scenarios, UAVs serve as mobile aggregators, providing connectivity to the terrestrial IoT devices. This paper studies an HFL architecture for energy-constrained UAVs in smart IoT systems, pioneering a solution to minimize global training cost increased caused by UAV disconnection. In light of this, we formulate a joint optimization problem involving learning configuration, bandwidth allocation, and device-to-UAV association, and perform global aggregation in time before UAV drops disconnect and redeployment of UAVs. The problem explicitly accounts for the dynamic nature of IoT devices and their interruptible communications and is unveiled to be NP-hard. To address this, we decompose it into three subproblems. First, we optimize the learning configuration and bandwidth allocation using an augmented Lagrangian function to reduce training costs. Second, we propose a device fitness score, integrating data heterogeneity (via Kullback-Leibler divergence), device-to-UAV distances, and IoT device resources, and develop a twin-delayed deep deterministic policy gradient (TD3)-based algorithm for dynamic device-to-UAV assignment. Third, We introduce a low-complexity two-stage greedy strategy for finding the location of UAVs redeployment and selecting the appropriate global aggregator UAV. Experiments on real-world datasets demonstrate significant cost reductions and robust performance under communication interruptions. © 2025, CC BY-NC-ND.

关键词： Federated learning

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An Implementation of Naming Rule Checking Function and its Applications to Java Programming Codes

An Implementation of Naming Rule Checking Function and its A...

引用

IEEE International Conference on Consumer Electronics (ICCE)

作者： Khaing Hsu Wai Nobuo Funabiki Mustika Mentari Soe Thandar Aung Htoo Htoo Sandi Kyaw Shingo Yamaguchi Wen-Chung Kao Graduate School of Science and Engineering Akita University Akita Japan Department of Information and Communication Systems Okayama University Okayama Japan Department of Computer and Information Science Tokyo University of Agriculture and Technology Tokyo Japan Graduate School of Sciences and Technology for Innovation Yamaguchi University Japan Department of Electrical Engineering National Taiwan Normal University Taipei Taiwan

ISBN: (数字)9798331521165

ISBN: (纸本)9798331521172

Currently, a lot of universities are offering Java programming courses for teaching the first-step object-oriented programming language. For novice students, to master writing readable codes using proper names for variables, classes, and methods is crucial in Java programming, to improve under-standability and maintainability. In this paper, we consider four naming rules to write a readable code and implement the naming rule checking function to check whether the given code follows them. For evaluations, we applied the proposal to 2, 908 source codes submitted in Java programming courses from students in Okayama University, Japan, Malang State Polytechnic, Indonesia, and Yamaguchi University, Japan. The results confirm the effectiveness of the proposal.

关键词： Java Codes Source coding Education Programming Writing Proposals Object oriented programming Consumer electronics

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Flexible Delay-Doppler Domain Multiple Access for Massive Connectivity with High Mobility

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IEEE Transactions on Wireless Communications 2025年

作者： Wang, Xuehan Zhang, Hengyu Wang, Jintao Yang, Zhaohui Lin, Hai Song, Jian Tsinghua University Department of Electronic Engineering Beijing100084 China Zhejiang University College of Information Science and Electronic Engineering Hangzhou310027 China Zhejiang University International Joint Innovation Center Haining314400 China Hangzhou310007 China Osaka Metropolitan University Graduate School of Engineering Department of Electrical and Electronic Systems Engineering Osaka Sakai599-8531 Japan Tsinghua University Shenzhen International Graduate School Shenzhen518055 China

Beyond 5G mobile networks are required to support the ultra-reliable data transmission with massive connectivity under high-mobility scenarios, where the delay-Doppler domain multiple access (DDMA) has been regarded as one of the potential candidates to avoid the severe performance degradation brought by double-dispersive channels. However, existing DDMA transceiver designs heavily rely on the shared codebooks or large guard space among user equipments (UEs), which restricts the flexibility, complexity, and spectral efficiency significantly. In this paper, we first propose the Zadoff-Chu training sequences-based frame structure and an element-wise iterative successive interference cancellation (SIC)-maximal ratio combining (MRC) detector for single-user transmission, which serves as the basis of flexible resource allocation in the delay-Doppler (DD) domain. The discussion is then extended to the MU downlink scenario, where rate splitting is adopted to effectively balance the noise and interference at the UE side to improve the bit error rate performance. For MU uplink cases, a non-orthogonal pilots-based iterative SIC-least square channel estimator is developed to promote the spectral efficiency while the iterative SIC-MRC detector is also provided. Simulation results demonstrate the excellent performance of the proposed DDMA scheme under typical DDMA patterns without guard space between UEs. © 2025 IEEE. All rights reserved.

关键词： 5G mobile communication systems

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Surgical skill analysis using explainable AI in endoscopic sinus surgery

Surgical skill analysis using explainable AI in endoscopic s...

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IEEE/SICE International Symposium on System Integration

作者： Kaito Yamada Masanobu Suzuki Kou Miyaji Koki Ebina Kazuya Sase Teppei Tsujita Xiaoshuai Chen Takashige Abe Shunsuke Komizunai Yuji Nakamaru Taku Senoo Akihiro Homma Atsushi Konno Graduate School of Information Science and Technology Hokkaido University Sapporo Japan Department of Otolaryngology-Head and Neck Surgery Faculty of Medicine and Graduate School of Medicine Hokkaido University Sapporo Japan Department of Mechanical Engineering and Intelligent Systems Tohoku Gakuin University Sendai Japan Department of Mechanical Engineering National Defense Academy of Japan Yokosuka Japan Graduate School of Science and Technology Hirosaki University Hirosaki Japan Department of Urology Graduate School of Medicine Hokkaido University Sapporo Japan Faculty of Engineering and Design Kagawa University Takamatsu Japan

ISBN: (数字)9798331531614

ISBN: (纸本)9798331531621

Endoscopic sinus surgery (ESS) is a standard procedure performed worldwide for diseases of the nose and sinuses, but it is highly technical and requires effective training. A system for evaluating the skill level of surgeons using machine learning based on measurement data from endoscopic sinus surgeries performed with a 3D sinus model has been developed. In this study, an analysis using SHapley Additive exPlanations (SHAP) values was conducted to investigate behaviors that significantly reflect surgeons’ skill proficiency. Additionally, feature reduction was performed using a variable reduction method, eliminating features in ascending order of their contributions as calculated by SHAP. This approach aimed not only to mitigate the risk of overfitting due to a decrease in explanatory variables but also to improve the accuracy of classifying surgeons based on skill differences. The results demonstrated that reducing features based on SHAP contributions led to an improvement in classification accuracy.

关键词： Vibrations Training Solid modeling Accuracy Three-dimensional displays Surgery Nose System integration Standards Overfitting

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Hybrid Near-field and Far-field Localization with Holographic MIMO

arXiv

引用

arXiv 2025年

作者： Cao, Mengyuan Zhang, Haobo Eldar, Yonina C. Zhang, Hongliang State Key Laboratory of Advanced Optical Communication Systems and Networks School of Electronics Peking University Beijing100871 China School of Electronic and Computer Engineering Peking University Shenzhen Graduate School Shenzhen518055 China Department of Mathematics and Computer Science Weizmann Institute of Science Rehovot7610001 Israel

Due to its ability to precisely control wireless beams, holographic multiple-input multiple-output (HMIMO) is expected to be a promising solution to achieve high-accuracy localization. However, as the scale of HMIMO increases to improve beam control capability, the corresponding near-field (NF) region expands, indicating that users may exist in both NF and far-field (FF) regions with different electromagnetic transmission characteristics. As a result, existing methods for pure NF or FF localization are no longer applicable. We consider a hybrid NF and FF localization scenario in this paper, where a base station (BS) locates multiple users in both NF and FF regions with the aid of a reconfigurable intelligent surface (RIS), which is a low-cost implementation of HMIMO. In such a scenario, it is difficult to locate the users and optimize the RIS phase shifts because whether the location of the user is in the NF or FF region is unknown, and the channels of different users are coupled. To tackle this challenge, we propose a RIS-enabled localization method that searches the users in both NF and FF regions and tackles the coupling issue by jointly estimating all user locations. We derive the localization error bound by considering the channel coupling and propose an RIS phase shift optimization algorithm that minimizes the derived bound. Simulations show the effectiveness of the proposed method and demonstrate the performance gain compared to pure NF and FF techniques. Copyright © 2025, The Authors. All rights reserved.

关键词： Communication channels (information theory)

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Robust Finite-Time Containment of Networked Heterogeneous Nonlinear systems with Intermittent Measurement Only

引用

IEEE Transactions on Network science and engineering 2025年

作者： Tian, Biao Zhang, Hao Cui, Peiyu Wang, Zhuping Yan, Huaicheng Shanghai Key Laboratory of Wearable Robotics and Human-Machine Interaction Tongji University College of Electronic and Information Engineering Department of Control Science and Engineering Shanghai201804 China Ministry of Education Shanghai Institute of Intelligent Science and Technology National Key Laboratory of Autonomous Intelligent Unmanned Systems Frontiers Science Center for Intelligent Autonomous Systems China East China University of Science and Technology School of Information Science and Engineering Shanghai200237 China

The robust finite-time containment problem of fully heterogeneous multiagent systems with uncertainties is often challenging, especially when only intermittent output measurement is used. To address the issue posed by the nonidentical system dynamics of multiple leaders, which makes the traditional distributed estimator form for the convex hull inapplicable, a distributed finite-time estimator is constructed for each follower to extract the system matrices and states of leaders. Then, in the output-triggering setting, a finite-time extended state observer driven by intermittent output measurement is developed to reconstruct the uncertainties and unmeasurable states of followers. Meanwhile, the non-continuous output measurement will lead to the differentiation of virtual control laws undefined. To solve this issue, a filtering compensation scheme-based finitetime controller via the backstepping technique is developed for nonlinear followers, ensuring practical finite-time stability (PFTS) of the closed-loop system. It is shown that the proposed algorithm steers each follower into the preset convex combination spanned by the positions of multiple leaders. The capability of the exploited control protocol is verified through simulations and experiments. 2013 IEEE.

关键词： Backstepping

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Theory of phase reduction for systems with higher-order interactions: a route to Kuramoto models on hypergraphs

arXiv

引用

arXiv 2025年

作者： León, Iván Muolo, Riccardo Hata, Shigefumi Nakao, Hiroya Department of Applied Mathematics and Computer Science Universidad de Cantabria Santander39005 Spain Department of Systems and Control Engineering Tokyo Institute of Technology Tokyo152-8552 Japan Graduate School of Science and Engineering Kagoshima University Kagoshima890-0065 Japan Research Center for Autonomous Systems Materialogy Institute of Innovative Research Tokyo Institute of Technology Yokohama226-8501 Japan

Phase reduction is a powerful technique in the study of nonlinear oscillatory systems. Under certain assumptions, it allows us to describe each multidimensional oscillator by a single phase variable, giving rise to simple phase models such as the Kuramoto model. Classically, the method has been applied in the case where the interactions are only pairwise (two-body). However, increasing evidence shows that interactions in real-world systems are not pairwise but higher-order, i.e., many-body. Although synchronization in higher-order systems has received much attention, analytical results are scarce because of the highly nonlinear nature of the framework. In this paper, we fill the gap by presenting a general theory of phase reduction for the case of higher-order interactions. We show that the higher-order topology is preserved in the phase reduced model at the first order and that only odd couplings have an effect on the dynamics when certain symmetries are present. Additionally, we show the power and ductility of the phase reduction approach by applying it to a population of Stuart-Landau oscillators with an all-to-all configuration and with a ring-like hypergraph topology;in both cases, only the analysis of the phase model can provide insights and analytical results. © 2025, CC BY-NC-ND.

关键词： Topology

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Large Language Model as a Catalyst: A Paradigm Shift in Base Station Siting Optimization

引用

IEEE Transactions on Cognitive Communications and Networking 2025年

作者： Wang, Yanhu Afzal, Muhammad Muzammil Li, Zhengyang Zhou, Jie Feng, Chenyuan Guo, Shuaishuai Quek, Tony Q. S. Shandong University School of Control Science and Engineering Jinan250062 China EURECOM Department of Communication Systems Sophia Antipolis06410 France Singapore University of Technology and Design Singapore487372 Singapore Kyung Hee University Department of Electronic Engineering Yongin17104 Korea Republic of

Traditional base station siting (BSS) methods rely heavily on drive testing and user feedback, which are laborious and require extensive expertise in communication, networking, and optimization. As large language models (LLMs) and their associated technologies advance, particularly in the realms of prompt engineering and agent engineering, network optimization will witness a revolutionary approach. This approach entails the strategic use of well-crafted prompts to infuse human experience and knowledge into these sophisticated LLMs, and the deployment of autonomous agents as a communication bridge to seamlessly connect the machine language based LLMs with human users using natural language. Furthermore, our proposed framework incorporates retrieval-augmented generation (RAG) to enhance the system's ability to acquire domain-specific knowledge and generate solutions, thereby enabling the customization and optimization of the BSS process. This integration represents the future paradigm of artificial intelligence (AI) as a service and AI for more ease. This research first develops a novel LLM-empowered BSS optimization framework, and heuristically proposes three different potential implementations: the strategies based on Prompt-optimized LLM (PoL), LLM-empowered autonomous BSS agent (LaBa), and Cooperative multiple LLM-based autonomous BSS agents (CLaBa). Through evaluation on real-world data, the experiments demonstrate that prompt-assisted LLMs and LLM-based agents can generate more efficient and reliable network deployments, noticeably enhancing the efficiency of BSS optimization and reducing trivial manual participation. © 2015 IEEE.

关键词： systems analysis

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