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American Control Conference (ACC)

作者： Marco Mirabilio Alessio Iovine Department of Information Engineering Computer Science and Mathematics Center of Excellence DEWS University of L’Aquila Laboratory of Signal and Systems (L2S) Centre National de la Recherche Scientifique (CNRS) CentraleSupélec Paris-Saclay University Gif-sur-Yvette France

This paper investigates the stability of large-scale systems (LSSs) in the presence of subsystems that amplify the perturbations propagated by their neighborhood, possibly leading to undesired behaviors of the overall interconnected system. Then, sufficient conditions ensuring the system trajectories boundedness and the subsequent LSS asymptotic stability in the sense of scalable Mesh Stability are proven to exist. The theoretical results show that there exists a dependence between the stability and the topology of the interconnected system. The obtained framework is then exploited for the stability analysis of a network of electrical microgrids, showing the effectiveness of the theoretical results.

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LG-Umer: UNet-like Network Integrate Local-Global Feature with Novel Attention for Road Extraction from Remote Sensing Images

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IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing 2025年

作者： Niu, Penghui Cai, Taotao Zhang, Yajuan Zhang, Ping Xu, Wenjia Gu, Junhua Han, Jungong Hebei University of Technology School of Artificial Intelligence Tianjin300401 China University of Southern Queensland Toowoomba487- 535 Australia Hebei Prospecting Institute of Hydrogeology and Engineering Geological Shijiazhuang050021 China Hebei University of Technology Hebei Province Key Laboratory of Big Data Calculation Tianjin300401 China University of Sheffield Department of Computer Science S10 2TN United Kingdom

Road extraction from remote sensing images (RSIs) is a key research area in smart city development. While deep learning techniques have demonstrated remarkable effectiveness in this domain, existing approaches exhibit limitations: convolutional neural network (CNN)-based methods struggle to capture global contextual information for long-range road networks, vision transformer (ViT)-based methods fail to adequately extract multi-scale local features, and hybrid CNN-ViT architectures overlook the synergistic guidance between local and global features. To address these challenges, we propose LG-Umer, a UNet-like network that integrates Local-Global features with a novel attention mechanism, combining the complementary strengths of CNNs and ViTs within an encoder-decoder framework. Specifically, the encoder employs a Multi-scale Strip Deformational (MSD) module, which utilizes deformable convolutions to adaptively extract topological structures and variable-shaped local road features. In the decoder, a Multi-stage Gate Unit (MGU) module is introduced, incorporating a novel attention mechanism to model long-range dependencies by leveraging local features as attention operators for global feature refinement. Extensive experiments on three public benchmarks demonstrate the superiority of LG-Umer. It achieves IoU scores of 70.4%, 71.2% and 68.7% on the Massachusetts Road, DeepGlobe Road, and CHN6-CUG datasets, respectively, surpassing recent state-ofthe-art (SOTA) methods by 1.2%, 0.9%, and 1.1%. These results validate the effectiveness of our approach in balancing local detail preservation and global contextual modeling for road extraction tasks. © 2008-2012 IEEE.

关键词： Convolutional neural networks

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Introduction of the Study Results of the Moon Electrical Power Systems 22

Introduction of the Study Results of the Moon Electrical Pow...

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22nd IAA Symposium on Building Blocks for Future Space Exploration and Development at the 75th International Astronautical Congress, IAC 2024

作者： Oka, Noriaki Yamauchi, Kenji Ijichi, Koichi Yanagawa, Hiroki Kashimura, Osamu Uchida, Atsushi Tanaka, Koji Mitani, Tomohiko Honjo, Kazuhiko Ishikawa, Ryo Ishimura, Kosei Fujino, Yoshiyuki Fujita, Kazuhisa Itoh, Kenji Kawakami, Yoshihiro Ishikawa, Yoji Yamaguchi, Hiroshi Ogawa, Akihiko Japan Space Systems 3-5-8 Shibakoen Minato-ku Tokyo105-0011 Japan Emerging Technologies and Security Division Mitsubishi Research Institute Inc. 10-3 Nagatacho 2-chome Chiyoda-ku Tokyo100-8141 Japan Institute of Space and Astronautical Science Japan Aerospace Exploration Agency 3-1-1 Yoshinodai Chuo-ku Kanagawa Sagamihara252-5210 Japan Kyoto University Gokasho Kyoto Uji611-0011 Japan Department of Computer and Network Engineering The University of Electro-Communications 1-5-1 Chofugaoka Chofu Tokyo182-8585 Japan Dept. of Modern Mechanical Engineering School of Creative Science and Engineering Waseda University 3-4-1 Okubo Shinjuku-ku Tokyo169-8555 Japan Faculty of Science and Engineering Toyo University 2100 Kujirai Saitama-ken Kawagoe350-8585 Japan 1955-1 Kurematsu-cho chuo-ku Shizuoka Hamamatsu431-1202 Japan Department of Electrical and Electronic Engineering College of Engineering Kanazawa Institute of Technology 7-1 Ohgigaoka Ishikawa Nonoichi921-8501 Japan Obayashi Future Lab. Technology Division Obayashi Corporation 2-15-2 Konan Minato-ku Tokyo108-8502 Japan 492 Minosho-machi Nara-ken YamatoKoriyama639-1186 Japan Electronics Technologies Office Technologies Development Department IHI Aerospace Co. Ltd. 900 Fujiki Gunma-ken Tomioka-shi370-2398 Japan

ISBN: (纸本)9798331312251

Since the year of 2021, Ministry of Economy, Trade and Industry (METI) started work on the energy issues on the Moon including the feasibility study of the electrical power system with Mitsubishi Research Institute, Japan Space Systems, Institute of Space and Astronautical science of Japan Aerospace Exploration Agency (JAXA), the universities and the industries. The architecture of the Moon electrical power infrastructure is found to be more like those of the power infrastructure of the earth than current satellite power system, and consisted of the power generation, power distribution grid and the power storage, and supplying electrical power to the consumer. The differences are that the environment of the Moon such as the vacuum and temperature condition, the influence of the regolith, etc. should have to be considered, and also the transportation cost of the construction is the key factor for the necessary technology to be selected. Of course, the technologies already established by the International Space Station (ISS) should be applied where necessary such as in the human habitable area. And more feature of the Moon is that the power generation on the Moon orbit and be sent to the surface or the inside the Permanent Shadow Region (PSR) other than on the surface of the Moon. The main consumer of the power system until the year 2050th is the water extraction and then the electrolysis of the water for, such as, the propellant for the transportation means and the electricity for the human habitant. The results of the system feasibility study of the Moon power architecture and also the electric power system team activities including the discussion with the hydrogen production team are going to be introduced. Copyright © 2024 by the International Astronautical Federation (IAF). All rights reserved.

关键词： Space power generation

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You'll Never Walk Alone: Human-Robot Collaborative Navigation in Virtual Environments for Crowd Management

SSRN

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SSRN 2024年

作者： Chen, Xing Zhao, Hantao Chen, Mashenyi Schläfli, Fabian Thrash, Tyler Cao, Jiuxin Liu, Bo Hölscher, Christoph Shi, Xiaomeng School of Cyber Science and Engineering Southeast University Southeast University Road 2 Nanjing211189 China Purple Mountain Laboratories Nanjing211111 China ETH Zürich Clausiusstrasse 59 Zürich8092 Switzerland Department of Biology Saint Louis University 1 N Grand Blvd St. LouisMO63103 United States School of Computer Science and Engineering Southeast University Southeast University Road 2 Nanjing211189 China School of Transportation Southeast University Southeast University Road 2 Nanjing211189 China

Crowd management in public spaces is a critical challenge faced by modern urban governance, which needs to delicately address the balance between ensuring public safety and respecting individual rights and freedoms. The development of artificial intelligence and robotics technology has provided new avenues for tackling this challenge. This paper proposes a human-robot collaborative navigation model to optimize the efficiency of robot-assisted navigation and enhance the safety of the crowd management process. The model can dynamically adjust the robot's guiding behavior through a state transition mechanism and employ a collaborative scheduling algorithm to control the crowd density in key areas. Additionally, it utilizes dynamic instruction system to provide pedestrians with directional guidance and behavioral recommendations, thereby enhancing the effectiveness of human-robot collaborative navigation. The model's efficacy is validated through empirical research in a virtual reality scenario. The results demonstrate that the human-robot collaborative navigation model has a significant impact on improving navigation efficiency, controlling crowd flow, ensuring traffic safety, and enhancing user satisfaction. © 2024, The Authors. All rights reserved.

关键词： Efficiency

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Values of Games for Information Decomposition

arXiv

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arXiv 2022年

作者： Kroupa, Tomáš Vannucci, Sara Votroubek, Tomáš Artificial Intelligence Center Department of Computer Science Faculty of Electrical Engineering Czech Technical University in Prague Karlovo náměstí 13 Praha 212O OO Czech Republic

The information decomposition problem requires an additive decomposition of the mutual information between the input and target variables into nonnegative terms. The recently introduced solution to this problem, Information Attribution, involves the Shapley-style value measuring the influence of predictors in the coalitional game associated with the joint probability distribution of the input random vector and the target variable. Motivated by the original problem, we consider a general setting of coalitional games where the players form a boolean algebra, and the coalitions are the corresponding down-sets. This enables us to study in detail various single-valued solution concepts, called values. Namely, we focus on the classes of values that can represent very general alternatives to the solution of the information decomposition problem, such as random-order values or sharing values. We extend the axiomatic characterization of some classes of values that were known only for the standard coalitional *** Codes 94A15, 94A17, 91A12, 91A80 Copyright © 2022, The Authors. All rights reserved.

关键词： Boolean algebra

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A dynamical Shafarevich theorem for endomorphisms of $\mathbb {P}^N$

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Proceedings of the American Mathematical Society 2025年第08期153卷 3351-3361页

作者： Juul, Jamie Krieger, Holly Looper, Nicole Mavraki, Niki Department of Mathematics Colorado State University 1874 Campus Delivery Fort Collins Colorado 80523-1874 Department of Pure Mathematics and Mathematical Statistics Centre for Mathematical Sciences Wilberforce Road Cambridge United Kingdom CB3 0WB Department of Mathematics Statistics and Computer Science University of Illinois Chicago 322 Science and Engineering Offices 851 S. Morgan St Chicago Illinois 60607 Department of Mathematics University of Toronto Bahen Centre 40 St. George Street Room 6172 Toronto Ontario Canada M5S 2E4

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A4T: Hierarchical Affordance Detection for Transparent Objects Depth Reconstruction and Manipulation

arXiv

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arXiv 2022年

作者： Jiang, Jiaqi Cao, Guanqun Do, Thanh-Toan Luo, Shan SmARTLab Department of Computer Science University of Liverpool LiverpoolL69 3BX United Kingdom Department of Engineering King's College London LondonWC2R 2LS United Kingdom Department of Data Science and AI Monash University ClaytonVIC3800 Australia

Transparent objects are widely used in our daily lives and therefore robots need to be able to handle them. However, transparent objects suffer from light reflection and refraction, which makes it challenging to obtain the accurate depth maps required to perform handling tasks. In this paper, we propose a novel affordance-based framework for depth reconstruction and manipulation of transparent objects, named A4T. A hierarchical AffordanceNet is first used to detect the transparent objects and their associated affordances that encode the relative positions of an object's different parts. Then, given the predicted affordance map, a multi-step depth reconstruction method is used to progressively reconstruct the depth maps of transparent objects. Finally, the reconstructed depth maps are employed for the affordance-based manipulation of transparent objects. To evaluate our proposed method, we construct a real-world dataset TRANS-AFF with affordances and depth maps of transparent objects, which is the first of its kind. Extensive experiments show that our proposed methods can predict accurate affordance maps, and significantly improve the depth reconstruction of transparent objects compared to the state-of-the-art method, with the Root Mean Squared Error in meters significantly decreased from 0.097 to 0.042. Furthermore, we demonstrate the effectiveness of our proposed method with a series of robotic manipulation experiments on transparent objects. See supplementary video and results at https://***/view/affordance4trans. Copyright © 2022, The Authors. All rights reserved.

关键词： Light reflection

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Supervised Representation Learning From Problem-Solving Behavior in Virtual Reality Manufacturing Environment Via Long Short-Term Memory

SSRN

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SSRN 2024年

作者： Zhu, Rui Aqlan, Faisal Zhao, Richard Yang, Hui Li, Yifu School of Industrial and Systems Engineering The University of Oklahoma NormanOK73019 United States Department of Industrial Engineering University of Louisville LouisvilleKY40292 United States Department of Computer Science University of Calgary CalgaryABT2N 1N4 Canada Complex Systems Monitoring Modeling and Control Laboratory The Pennsylvania State University University ParkPA16802 United States

The number of manufacturing jobs has been consistently increasing thanks to the rapidly evolving landscape and the newly adopted strategic plan of US manufacturing. However, there have been rising concerns in recent years about the problem-solving skills of engineering students, who will soon become the next generation of the US workforce. Such circumstances call for systematic evaluation and a better understanding of engineering students’ problem-solving. This paper builds a virtual reality (VR)-based manufacturing environment and adopts a data-driven analytical workflow to evaluate engineering students’ problem-solving performance. Specifically, students perform assembly tasks to produce car toys that satisfy the pre-defined requirements within the VR craft-production manufacturing system. We collect in situ eye-tracking data containing spatial-temporal dynamics of eye movements and abstract their latent features via a long short-term memory (LSTM)-based supervised representation learning for problem-solving performance evaluation. This work outperforms the traditional performance metrics-based evaluation by incorporating the nonlinear dynamics summarized from the in situ production process. Experimental results show that learned feature representations provide significantly more distinguishable patterns when categorizing the students’ problem-solving performance than traditional performance metrics. The proposed evaluation workflow has a broader impact on facilitating the problem-solving assessment across a wide range of manufacturing systems and worker training programs. © 2024, The Authors. All rights reserved.

关键词： Eye tracking

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Assessing alternatives of including social robots in urban transport using fuzzy trigonometric operators based decision-making model

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Technological Forecasting and Social Change 2023年第1期194卷

作者： Deveci, Muhammet Pamucar, Dragan Gokasar, Ilgin Zaidan, Bilal Bahaa Martinez, Luis Pedrycz, Witold Department of Industrial Engineering Turkish Naval Academy National Defence University Istanbul Tuzla34940 Turkey Royal School of Mines Imperial College London LondonSW7 2AZ United Kingdom Department of Operations Research and Statistics Faculty of Organizational Sciences University of Belgrade Belgrade11000 Serbia Department of Civil Engineering Bogazici University Istanbul Bebek34342 Turkey International Graduate School of Artificial Intelligence College of Management National Yunlin University of Science and Technology 123 University Road Section 3 Yunlin Douliu City64002 Taiwan Department of Computer Sciences University of Jaén Jaén23071 Spain Department of Electrical and Computer Engineering Faculty of Engineering University of Alberta 9211 116 Street NW EdmontonABT6G 1H9 Canada Systems Research Institute Polish Academy of Sciences Warsaw00-901 Poland Faculty of Engineering and Natural Sciences Department of Computer Engineering Istinye University Sariyer/Istanbul Turkey College of Engineering Yuan Ze University Taiwan

Current trends point to a not-too-distant future with qualitatively advanced interactions between humans and social robots. It is critical to consider the possibility of forming meaningful social relationships with robots when defining the future of human-robot interactions, as well as studying how these interactions will evolve to the point where humans are unable to distinguish between humans and robots in urban transportation. In this study, the advantages of using social robots in urban transportation are prioritized by using a multi-criteria decision-making tool, which consists of two consecutive stages, namely: i) a novel fuzzy sine trigonometry based on the logarithmic method of additive weights (fuzzy ST-LMAW) that is proposed to calculate the criteria weights;ii) a nonlinear fuzzy Aczel-Alsina function based the weighted aggregate sum product assessment (fuzzy ALWAS-WASPAS) that is developed to select and rank the alternatives. The proposed model enables flexible nonlinear processing of complex and uncertain information encountered in real applications. A case study is developed to rank three alternatives with twelve sub-criteria grouped into four aspects using the proposed method. The results show that the most advantageous alternative is to replace people with social robots as safety drivers in level four autonomous vehicles due to their possible impact on transportation. © 2023 The Authors

关键词： Human robot interaction

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Crystalline superconductor-semiconductor Josephson junctions for compact superconducting qubits

arXiv

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arXiv 2025年

作者： Balgley, Jesse Park, Jinho Chu, Xuanjing Arnault, Ethan G. Gustafsson, Martin V. Ranzani, Leonardo Holbrook, Madisen Watanabe, Kenji Taniguchi, Takashi Perebeinos, Vasili Hone, James Fong, Kin Chung Department of Mechanical Engineering Columbia University New YorkNY10027 United States Department of Applied Physics and Mathematics Columbia University New YorkNY10027 United States Department of Electrical Engineering and Computer Science Massachusetts Institute of Technology CambridgeMA02139 United States RTX BBN Technologies Quantum Engineering and Computing Group CambridgeMA02138 United States Department of Physics Columbia University New YorkNY10027 United States National Institute for Materials Science 1-2-1 Sengen Ibaraki Tsukuba305-0044 Japan Department of Electrical Engineering University at Buffalo The State University of New York BuffaloNY14260 United States

The narrow bandgap of semiconductors allows for thick, uniform Josephson junction barriers, potentially enabling reproducible, stable, and compact superconducting qubits. We study vertically stacked van der Waals Josephson junctions with semiconducting weak links, whose crystalline structures and clean interfaces offer a promising platform for quantum devices. We observe robust Josephson coupling across 2–12 nm (3–18 atomic layers) of semiconducting WSe2 and, notably, a crossover from proximity- to tunneling-type behavior with increasing weak link thickness. Building on these results, we fabricate a prototype all-crystalline merged-element transmon qubit with transmon frequency and anharmonicity closely matching design parameters. We demonstrate dispersive coupling between this transmon and a microwave resonator, highlighting the potential of crystalline superconductor-semiconductor structures for compact, tailored superconducting quantum devices. Copyright © 2025, The Authors. All rights reserved.

关键词： Josephson junction devices

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