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A Conceptual Study of High Spatial Resolution Neutron Imaging for Water Exploration on the Moon with a Full Satellite System Design 74

A Conceptual Study of High Spatial Resolution Neutron Imagin...

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74th International Astronautical Congress, IAC 2023

作者： Taniguchi, Kentaro Tsurumi, Miwa Komatsu, Ryusei Kudo, Raiki Izawa, Azumi Kaieda, So Aizawa, Naoto Gomi, Atsuhiro Nagai, Yuutarou Enoto, Teruaki Department of Applied Mechanics and Aerospace Engineering Waseda University 3-4-1 Okubo Shinjuku Tokyo169-8555 Japan Department of science and engineering Aoyama Gakuin University 5-10-1 Fuchinobe Kanagawa Sagamihara252-5258 Japan 3-1-1 Yoshinodai Chuo-ku Kanagawa Sagamihara-shi252-0222 Japan Department of Electrical Engineering and Information Systems Graduate School of Engineering The University of Tokyo 7-3-1 Hongo Bunkyo-ku Tokyo113-8656 Japan Department of Science and Engineering Aoyama Gakuin University 5-10-1 Fuchinobe Chuo-ku Kanagawa Sagamihara252-5258 Japan Graduate School of Engineering and Science Yokohama National University 79-5 Tokiwadai Hodogaya-ku Kanagawa Yokohama240-8501 Japan Department of Aeronautics and Astronautics The University of Tokyo 7-3-1 Hongo Bunkyo-ku Tokyo113-8654 Japan Department of Physics Kyoto University Kitashirakawa-Oiwake-cho Sakyo-ku Kyoto606-8502 Japan

An increasing number of lunar exploration programs, including NASA's Artemis program, are recognizing the vital importance of water resources. In order to identify potential drilling locations on the lunar surface, a high-resolution lunar orbiter is anticipated to be utilized. This study proposes a mission that focuses on neutrons generated by galactic cosmic rays that leak into space and measure the concentration of hydrogen within water under the lunar subsurface. Neutron detectors used in previous lunar exploration mission probes have encountered challenges in achieving both high spatial resolution and enough neutron count rates for statistical reliability. To overcome these challenges, the proposed mission satellite is equipped with the world's first imager dedicated for thermal neutrons. The satellite aims to achieve the highest spatial resolution of 5 km and provide neutron mapping with sufficient statistical reliability using lightweight optics. Furthermore, the satellite uses neutron flux data for measurement of the neutron lifetime, and the results are compared with those obtained using two established methods on the ground. To accomplish these tasks, a 50-kg lunar orbiter is conceptually designed after several design iterations, including detailed simulations of each subsystem. The satellite map neutron fluxes and water distribution from a lunar polar frozen orbit over a one-year mission period. Copyright © 2023 by the International Astronautical Federation (IAF). All rights reserved.

关键词： Conceptual study Full satellite system design Lunar water Neutron Neutron Imaging

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Manipulation of Center of Pressure for Bipedal Locomotion by Passive Twisting of Viscoelastic Trunk Joint and Asymmetrical Arm Swinging

Manipulation of Center of Pressure for Bipedal Locomotion by...

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IEEE/RSJ International Conference on Intelligent Robots and systems (IROS)

作者： Takashi Takuma Ibuki Hashimoto Ryo Andachi Yasuhiro Sugimoto Shinya Aoi Department of Electrical and Electric Systems Engineering Osaka Institute of Technology Asahi-ku Osaka Japan Department of Mechanical Engineering Osaka University Suita Osaka Japan Department of Mechanical Science and Bioengineering Graduate School of Engineering Science Osaka University Toyonaka Osaka Japan

To implement successful bipedal locomotion in a robot, its center of pressure (CoP) is placed on a supporting area. To achieve locomotion, many studies have focused on the lower body. Given that the human upper body has a large mass and its behavior influences locomotion even in the case of the robot, this study investigates the effect of the upper body, which contains moving arms and a twisting trunk, on CoP. The dynamics is analyzed using a simple model that has a passive viscoelastic trunk joint around the vertical axis and arms that oscillates back and forth. From the derivations of CoP and trunk joint trajectory, three important findings are made: (i) the CoP oscillates along the lateral direction only when the arm swings in an anterior-posterior asymmetric manner, (ii) the trajectories of CoP and trunk joint are in anti-phase, (iii) the phase of CoP along the lateral direction is influenced by the swinging cycle and viscoelasticity of the trunk joint, the mechanical elements of the upper body. An experiment using a robot verified the first and second findings, and simulation verified the last finding. The last finding will contribute to making a feedback controller that converges to the desired phase, which is an important factor for successful bipedal locomotion.

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Improving routing efficiency in vehicular AD Hoc Networks

Improving routing efficiency in vehicular AD Hoc Networks

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International Conference on control, Decision and Information Technologies (CoDIT)

作者： W. Akermi N. Alyaoui A. B. Guiloufi K. Chabbir N. Nasri Automatic Industrial Systems Department Applied Science and Technology Gafsa University Gafsa Tunisia Laboratory of Modeling Analysis and Control of Systems (MACS) National Engineering School of Gabes (ENIG) Gabes University Gabes Tunisia Computer Science and Telecommunications Department Higher Institute of Applied Science and Technology Gafsa University Gafsa Tunisia Preparatory Institute for Engineering Studies of Gabes Laboratory of Modeling Analysis and Control of Systems (MACS) National Engineering School of Gabes (ENIG) Gabes University Gabes Tunisia Computer Science Department-Gafsa Gafsa University Gafsa Tunisia Laboratory of Smart Systems for Engineering and E-Health Based on Technologies of Image and Telecommunications (SETIT) Sfax University Sfax Tunisia

ISBN: (数字)9798350373974

ISBN: (纸本)9798350373981

Vehicular networks, also known as Vehicular Ad Hoc Networks (VANETs), have become a crucial technology for vehicle communication, providing wireless connectivity among vehicles and between vehicles and infrastructure. However, the dynamic and complex nature of these networks presents unique challenges in routing and resource management. In this study, we explore the use of artificial intelligence (AI) to improve the performance of vehicular networks, focusing on two widely used routing protocols: Optimized Link State Routing (OLSR) and Destination-Sequenced Distance Vector (DSDV).We aim to evaluate the performance of these traditional routing protocols within the context of vehicular networks by integrating machine learning techniques such as neural network regression (MLRegression). Our goal is to understand how the integration of artificial intelligence can enhance the prediction and optimization of vehicular network performance. Using MLRegression, we aim to develop accurate prediction models for performance metrics such as latency, throughput, packet delivery rate, and more, based on network parameters and environmental conditions. This comparative evaluation, which involves incorporating an AI-based approach, will allow us to better understand the strengths and weaknesses of each protocol and provide recommendations for improving vehicular networks.

关键词： Measurement Wireless communication Adaptation models Adaptive systems Vehicular ad hoc networks Routing Throughput Routing protocols Vectors Vehicle dynamics

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Data-driven Optimal Cooperative Output Regulation of Unknown Linear Discrete-time Multi-agent systems

Data-driven Optimal Cooperative Output Regulation of Unknown...

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Chinese control and Decision Conference, CCDC

作者： Dong Liang Yi Dong Chaoli Wang Engang Tian Department of Control Science and Engineering School of Optical-Electrical and Computer Engineering University of Shanghai for Science and Technology Shanghai China College of Electronic and Information Engineering Shanghai Research Institute for Intelligent Autonomous Systems Tongji University Shanghai China

The cooperative output regulation problem has been extensively studied on the basis of the distributed observer approach. However, the majority of the existing research assumes that the dynamics is known previously. To remove this condition, the cooperative output regulation problem is further solved via the data-driven framework where the dynamics of the plant is unknown. First, a data-driven distributed observer is established to estimate the state of the leader with unknown dynamics subject to external inputs. Second, the unknown regulator equations are solved using the iterative recurrent neural network approach. Third, the state-based data-driven distributed control law is synthesized to solve the problem. The optimal gains are derived by solving convex optimization problems using input and state data. Finally, a numerical example is presented to verify the feasibility of the proposed framework.

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Optimal Maintenance Policies of Breakwater Armored with Wave-Dissipating Blocks 27

Optimal Maintenance Policies of Breakwater Armored with Wave...

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27th ISSAT International Conference on Reliability and Quality in Design

作者： Yunlong, Dong Ito, Kodo Higuchi, Yoshiyuki Department of Social Management Engineering Graduate School of Engineering Tottori University Minami 4-101 Koyama Tottori Tottori-shi680-8552 Japan Faculty of Symbiotic Systems Science Fukushima University Kanayagawa 1-ban Fukushima Fukushima-shi960-1296 Japan

ISBN: (纸本)9798986576107

The social infrastructure has to be maintained economically and efficiently because the scale is huge, maintenance budgets of local governments are strict, and the number of skillful maintenance workers declines. Optimal policies which consider the characteristics of social infrastructure maintenance are needed for economical and efficient maintenance. We have established such optimal maintenance policies utilizing the cumulative damage model and apply them to the solution of actual problem of breakwater in a port on the Sea of Japan. Although it is known that the deterioration of breakwaters is Weibull distribution, it is not easy to calculate the optimum policy in the case of the Weibull distribution. This problem is solved by using the approximate formula, the optimum policies are obtained, and we can show that the actual policies undergone by the local government are appropriate because the same policies are obtained theoretically. © 2022 International Society of science and Applied Technologies

关键词： Budget control

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Robust-Guaranteed Approximation of Disturbance Invariant Set for systems with Near-Unit-Disk Spectral Radius*

Robust-Guaranteed Approximation of Disturbance Invariant Set...

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IEEE Conference on Decision and control

作者： Duc Giap Nguyen Suyong Park Nan Li Jinrak Park Dohee Kim Jeong Soo Eo Kyoungseok Han Graduate School of Mechanical Engineering Kyungpook National University South Korea Department of Automotive Engineering Hanyang University Seoul South Korea School of Automotive Studies Tongji University Shanghai China Electrified Systems Control Research Lab Hyundai Motor Company South Korea

ISBN: (数字)9798350316339

ISBN: (纸本)9798350316346

This study presents a practical algorithm for approximating the Robust Positively Invariant (RPI) set within the context of robust Tube Model Predictive control (MPC) for discrete-time, linear time-invariant systems. When the stable matrix exhibits a spectral radius close to the unit disk, computing the RPI set becomes challenging, potentially rendering it infeasible. We first analyze the impact of the spectral radius on RPI set convergence, providing an insight into the problem. Subsequently, we propose an approach to integrate approximation into the RPI set computation while preserving the robustness of the corresponding tightened sets. This is achieved by enforcing the upper and lower dimensional bounds of the RPI set during computation. Additionally, we incorporate disturbance estimation error bounding into the Tube MPC framework to address substantial additive disturbances. These disturbances, if directly treated by Tube MPC, otherwise lead to over-conservative or empty tightened state and control sets. Throughout the study, we demonstrate the effectiveness of the proposed algorithm through numerical simulations of a car-following problem.

关键词： Estimation error Additives Economic indicators Approximation algorithms Rendering (computer graphics) Prediction algorithms Numerical simulation Robustness Predictive control Convergence

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Forty Plus Years of Model Reduction and Still Learning

Forty Plus Years of Model Reduction and Still Learning

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IEEE Conference on Decision and control

作者： A. Astolff C. L. Beck D. Bhattacharjee Y. Kawano A. Moreschini H. Sandberg J. M. A. Scherpen Department of Electrical and Electronic Engineering Imperial College London United Kingdom Dipartimento di Ingegneria Civile e Ingegneria Informatica Università di Roma “Tor Vergata” Italy Univ. of Illinois at Urbana-Champaign Illinois USA Graduate School of Advanced Science and Engineering Hiroshima University Japan KTH Royal Institute of Technology Stockholm Sweden Jan C. Willems Center for Systems and Control Engineering and Technology Institute Groningen Faculty of Science and Engineering University of Groningen Netherlands

ISBN: (数字)9798350316339

ISBN: (纸本)9798350316346

The approximation of complex dynamical systems models by reduced order models has been considered an important research problem for over four decades, not only in the field of control, but also in economics, image processing, circuit analysis, statistical mechanics, aircraft structures, and more recently in hybrid energy systems, to name just a sampling of fields. In this paper, we provide an overview of the development of balanced truncation and interpolation approaches for reducing linear and non-linear dynamical systems models for the purpose of control analysis and design.

关键词： Economics Analytical models Interpolation Biological system modeling Atmospheric modeling Image processing Reduced order systems Integrated circuit modeling Dynamical systems Circuit analysis

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MMFusion: A Generalized Multi-Modal Fusion Detection Framework

MMFusion: A Generalized Multi-Modal Fusion Detection Framewo...

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IEEE International Conference on Development and Learning, ICDL

作者： Leichao Cui Xiuxian Li Min Meng Xiaoyu Mo Department of Control Science and Engineering College of Electronics and Information Engineering and the Shanghai Research Institute for Intelligent Autonomous Systems Tongji University Shanghai China School of Mechanical and Aerospace Engineering Nanyang Technological University Singapore

LiDAR point clouds have become the most common data source in autonomous driving. However, due to the sparsity of point clouds, accurate and reliable detection cannot be achieved in specific scenarios. Because of their complementarity with point clouds, images are getting increasing attention. Although with some success, existing fusion methods either perform hard fusion or do not fuse in a direct manner. In this paper, we propose a generic 3D detection framework called MMFusion, using multimodal features. The framework aims to achieve accurate fusion between LiDAR and images to improve 3D detection in complex scenes. Our framework consists of two separate streams: the LiDAR stream and the camera stream, which can be compatible with any single-modal feature extraction network. The Voxel Local Perception Module in the LiDAR stream enhances local feature representation, and then the Multi-modal Feature Fusion Module selectively combines feature output from different streams to achieve better fusion. Extensive experiments have shown that our framework not only outperforms existing benchmarks but also improves their detection, especially for detecting cyclists and pedestrians on KITTI benchmarks, with strong robustness and generalization capabilities. Hopefully, our work will stimulate more research into multimodal fusion for autonomous driving tasks.

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A Cycle-GAN-Based Method for Real-World Image Super-Resolution

A Cycle-GAN-Based Method for Real-World Image Super-Resoluti...

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IEEE Global Conference on Consumer Electronics (GCCE)

作者： Ryusei Imamura Yinhao Li Hiroshi Taga Koki Iwasa Ryuichi Shichikawa Makoto Suganami Kazuhiro Nakamoto Yen-Wei Chen Graduate School of Information Science and Engineering Ritsumeikan University Osaka Japan School of Information Science and Engineering Ritsumeikan University Osaka Japan DX Promotion Department Mitsui E&S Systems Research Inc. Chiba Japan Industry Systems Solutions Division Mitsui E&S Systems Research Inc. Chiba Japan

ISBN: (数字)9798350355079

ISBN: (纸本)9798350355086

In recent years, the development of deep learning-based image super-resolution (SR) technology has made it easier to generate high-resolution, clear images. However, in practical scenarios where cameras cannot be placed close to objects, the captured image quality significantly degrades, leading to very low accuracy in automatic recognition of digits and text. Traditional SR methods still fail to achieve satisfactory results in such situations. Many supervised SR studies use synthetic low-resolution (LR) images created from high-resolution (HR) images for training. However, synthetic LR images do not correspond to real-world degradation. Therefore, to reconstruct degraded images captured in real-world scenarios for high-accuracy automatic character recognition, this study generates low-quality images that simulate real-world conditions to train SR models, thereby restoring and enhancing characters in degraded captured images. Our approach comprises two parts: domain correction and SR model training. First, we use CycleGAN to synthesize LR images that include real-world degradation features. Second, the generated LR images and HR images are paired to train the SR model. To validate the effectiveness of the proposed method, we used YOLOv5 for text recognition before and after SR processing. Experimental results show that our method effectively improves image quality and the accuracy of optical characteristic recognition.

关键词： Image quality Degradation Training YOLO Accuracy Image recognition Text recognition Superresolution Optical imaging Character recognition

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SliQSim: A Quantum Circuit Simulator and Solver for Probability and Statistics Queries 31th

SliQSim: A Quantum Circuit Simulator and Solver for Probabil...

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31st International Conference on Tools and Algorithms for the Construction and Analysis of systems, TACAS 2025, which was held as part of the International Joint Conferences on Theory and Practice of Software, ETAPS 2025

作者： Chen, Tian-Fu Jiang, Jie-Hong R. Graduate School of Advanced Technology National Taiwan University Taipei Taiwan Graduate Institute of Electronics Engineering National Taiwan University Taipei Taiwan Department of Electrical Engineering National Taiwan University Taipei Taiwan Center for Quantum Science and Engineering National Taiwan University Taipei Taiwan Physics Division National Center for Theoretical Sciences Taipei Taiwan

ISBN: (纸本)9783031906596

SliQSim, originally developed as the first exact quantum circuit simulator, is extended in this paper to provide capabilities for the analysis and verification of quantum states. It provides an interface for users to specify interested quantum states for querying the exact probability or expectation value of a user-defined property. Case studies on three quantum algorithms show the unique capability of SliQSim benefiting exact quantum circuit analysis and verification, beyond the support by other tools. © The Author(s) 2025.

关键词： Quantum electronics

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