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IEEE/SICE International Symposium on System Integration

作者： Shinnosuke Hanawa Yihsin Ho Iciro Kobayashi Eri Sato-Shimokawara Hiroki Shibata Takenori Obo Graduate School of Engineering Takushoku University Tokyo Japan Faculty of Engineering Takushoku University Tokyo Japan Department of Computer Science Tokyo Metropolitan University Tokyo Japan Department of Mechanical Systems Engineering Tokyo Metropolitan University Tokyo Japan

ISBN: (数字)9798331531614

ISBN: (纸本)9798331531621

The paper presented an intuitive control system using electromyography (EMG) data that is obtained from the Myo gesture control armband. The aim of this study is to enable users to control multiple devices with a single EMG device in an intuitive way. The presented system shows the ability of EMG-based gestures to control Phillips Hue that allow user to control light bulb by simple hand movements. Moreover, the authors also developed new functionalities, which is according to users’ preferences, to register gestures. These functions aim to improve the usability and enhance the naturalness of operations. Additionally, unique gestures, which less common in everyday life, is defined to reduce misrecognition when switching between different devices. Furthermore, to achieve reliable and accurate recognition of multiple gestures, the Support Vector Machine (SVM) models is considered to be a machine learning method for training processed EMG data. The experiment results demonstrate significant improvements in user experience and practical applicability in various interactive scenarios.

关键词： Support vector machines Training Interactive systems Switches Machine learning System integration Electromyography User experience Robustness Usability

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Unsupervised Episode Generation for Graph Meta-learning

arXiv

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arXiv 2023年

作者： Jung, Jihyeong Seo, Sangwoo Kim, Sungwon Park, Chanyoung Department of Industrial & Systems Engineering KAIST Korea Republic of Graduate School of Data Science KAIST Korea Republic of

We propose Unsupervised Episode Generation method called Neighbors as Queries (NAQ) to solve the Few-Shot Node-Classification (FSNC) task by unsupervised Graph Meta-learning. Doing so enables full utilization of the information of all nodes in a graph, which is not possible in current supervised meta-learning methods for FSNC due to the label-scarcity problem. In addition, unlike unsupervised Graph Contrastive Learning (GCL) methods that overlook the downstream task to be solved at the training phase resulting in vulnerability to class imbalance of a graph, we adopt the episodic learning framework that allows the model to be aware of the downstream task format, i.e., FSNC. The proposed NAQ is a simple but effective unsupervised episode generation method that randomly samples nodes from a graph to make a support set, followed by similarity-based sampling of nodes to make the corresponding query set. Since NAQ is model-agnostic, any existing supervised graph meta-learning methods can be trained in an unsupervised manner, while not sacrificing much of their performance or sometimes even improving them. Extensive experimental results demonstrate the effectiveness of our proposed unsupervised episode generation method for graph meta-learning towards the FSNC task. Our code is available at: https://***/JhngJng/NaQ-PyTorch. Copyright © 2023, The Authors. All rights reserved.

关键词： Learning systems

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Automated stopping criterion for spectral measurements with active learning

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npj Computational Materials 2021年第1期7卷 1252-1260页

作者： Tetsuro Ueno Hideaki Ishibashi Hideitsu Hino Kanta Ono Synchrotron Radiation Research Center Kansai Photon Science InstituteQuantum Beam Science Research DirectorateNational Institutes for Quantum and Radiological Science and TechnologySayoHyogoJapan Department of Human Intelligence Systems Graduate School of Life Science and Systems EngineeringKyushu Institute of TechnologyKitakyushuFukuokaJapan The Institute of Statistical Mathematics Research Organization of Information and SystemsTachikawaTokyoJapan Department of Applied Physics Graduate School of EngineeringOsaka UniversitySuitaOsakaJapan Center for Integrative Quantum Beam Science Institute of Materials Structure ScienceHigh Energy Accelerator Research OrganizationTsukubaIbarakiJapan

The automated stopping of a spectral measurement with active learning is *** optimal stopping of the measurement is realised with a stopping criterion based on the upper bound of the posterior average of the generalisation error of the Gaussian process *** is revealed that the automated stopping criterion of the spectral measurement gives an approximated X-ray absorption spectrum with sufficient accuracy and reduced data *** proposed method is not only a proof-of-concept of the optimal stopping problem in active learning but also the key to enhancing the efficiency of spectral measurements for highthroughput experiments in the era of materials informatics.

关键词： criterion spectral optimal

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PreMix: Addressing Label Scarcity in Whole Slide Image Classification with Pre-trained Multiple Instance Learning Aggregators

arXiv

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arXiv 2024年

作者： Wong, Bryan Yi, Mun Yong Graduate School of Data Science KAIST Daejeon34141 Korea Republic of Department of Industrial and Systems Engineering KAIST Daejeon34141 Korea Republic of

Multiple instance learning (MIL) has emerged as a powerful framework for weakly supervised whole slide image (WSI) classification, enabling slide-level predictions without requiring detailed patch-level annotations. However, a key limitation of MIL lies in the underexplored potential of pre-training the MIL aggregator. Most existing approaches train it from scratch, resulting in performance heavily dependent on the number of labeled WSIs, while overlooking the abundance of unlabeled WSIs available in real-world scenarios. To address this, we propose PreMix, a novel framework that leverages a non-contrastive pre-training method, Barlow Twins, augmented with the Slide Mixing approach to generate additional positive pairs and enhance feature learning, particularly under limited labeled WSI conditions. Fine-tuning with Mixup and Manifold Mixup further enhances robustness by effectively handling the diverse sizes of gigapixel WSIs. Experimental results demonstrate that integrating HIPT into PreMix achieves an average F1 improvement of 4.7% over the baseline HIPT across various WSI training datasets and label sizes. These findings underscore its potential to advance WSI classification with limited labeled data and its applicability to real-world histopathology practices. The code is available at https://***/r/PreMix Copyright © 2024, The Authors. All rights reserved.

关键词： Self-supervised learning

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Real-space formulation of topology for disordered Rice-Mele chains without chiral symmetry

arXiv

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arXiv 2023年

作者： Hattori, Kiminori Yamaguchi, Ata Department of Systems Innovation Graduate School of Engineering Science Osaka University Osaka Toyonaka560-8531 Japan

In this paper, we derive a real-space topological invariant that involves all energy states in the system. This global invariant, denoted by Q, is always quantized to be 0 or 1, independent of symmetries. In terms of Q, we numerically investigate topological properties of the nonchiral Rice-Mele model including random onsite potentials to show that nontrivial bulk topology is sustained for weak enough disorder. In this regime, a finite spectral gap persists, and then Q is definitely identified. We also consider sublattice polarization of disorder potentials. In this case, the energy spectrum retains a gap regardless of disorder strength so that Q is unaffected by disorder. This implies that bulk topology remains intact as long as the spectral gap opens. Copyright © 2023, The Authors. All rights reserved.

关键词： Topology

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Comparative analysis of single-and multiple-frequency thermal wave radar imaging inspection of glass fiber reinforced polymer(GFRP)

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International Journal of Extreme Manufacturing 2022年第2期4卷 161-172页

作者： Lishuai Liu Andreas Mandelis Alexander Melnikov Liming Wang Key Laboratory of Pressure Systems and Safety of MOE School of Mechanical and Power EngineeringEast China University of Science and TechnologyShanghai 200237People’s Republic of China Center for Advanced Diffusion-Wave and Photoacoustic Technologies(CADIPT) Department of Mechanical and Industrial EngineeringUniversity of TorontoTorontoON M5S 3G8Canada Institute for Advanced Non-Destructive and Non-Invasive Diagnostic Technologies(IANDIT) TorontoONM5S 3G8Canada Shenzhen International Graduate School Tsinghua UniversityShenzhen 518055People’s Republic of China

Active infrared thermography has gained increasing popularity for nondestructive testing and evaluation in various industrial fields,especially for composite *** this regard,thermal wave radar(TWR)imaging is recognized as the next-generation active thermography technology to obtain great resolution and depth range over the inspected objects.A critical aspect concerns the optimal test parameter selection to guarantee reliable quality assurance required for industrial *** this work,single-and multiple-frequency TWR was investigated in a quantitative manner with the goal of optimizing the detection parameters in terms of probing range and lateral and depth *** effects of test parameters,including sampling frequency,modulation frequency,chirp duration,chirp bandwidth,etc,were investigated in detail through experiments on a glass fiber reinforced polymer specimen with multi-scale diameter-to-depth ratio *** paper aims to help yield a better understanding of the physical mechanism behind TWR and propose a workable scheme for testing parameter selection in practical applications.

关键词： GFRP thermal wave radar testing parameters nondestructive testing

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Skew t Distribution-Based Nonlinear Filter with Asymmetric Measurement Noise Using Variational Bayesian Inference

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Computer Modeling in engineering & sciences 2022年第4期131卷 349-364页

作者： Chen Xu Yawen Mao Hongtian Chen Hongfeng Tao Fei Liu Key Laboratory of Advanced Process Control for Light Industry(Ministry of Education) Jiangnan UniversityWuxi214122China School of Science Jiangnan UniversityWuxi214122China Department of Chemical and Materials Engineering University of AlbertaEdmontonAB T6G 2G6Canada

This paper is focused on the state estimation problem for nonlinear systems with unknown statistics of measurement *** on the cubature Kalman filter,we propose a new nonlinear filtering algorithm that employs a skew t distribution to characterize the asymmetry of the measurement *** system states and the statistics of skew t noise distribution,including the shape matrix,the scale matrix,and the degree of freedom(DOF)are estimated jointly by employing variational Bayesian(VB)*** proposed method is validated in a target tracking *** of the simulation indicate that the proposed nonlinear filter can perform satisfactorily in the presence of unknown statistics of measurement noise and outperform than the existing state-of-the-art nonlinear filters.

关键词： Nonlinear filter asymmetric measurement noise skew t distribution unknown noise statistics variational Bayesian inference

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Research progress on classification, sources and functions of dietary polyphenols for prevention and treatment of chronic diseases

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Journal of Future Foods 2023年第4期3卷 289-305页

作者： Wei Li Haihong Chen Bing Xu Yi Wang Canyang Zhang Yong Cao Xinhui Xing Institute of Biopharmaceutical and Health Engineering Tsinghua Shenzhen International Graduate SchoolShenzhen 518055China b Institute of Biomedical Health Technology and Engineering Shenzhen Bay LaboratoryShenzhen 440300China Key Laboratory for Industrial Biocatalysis Ministry of EducationInstitute of Biochemical EngineeringDepartment of Chemical EngineeringBeijing 100084China College of Food Science South China Agricultural UniversityGuangzhou 510642China Center for Synthetic and Systems Biology Tsinghua UniversityBeijing 100084China

Dietary polyphenols are the most abundant antioxidants in daily diet and widely distributed in plants and plant-based foods,including vegetables,fruits,cereals,nuts,and beverages(e.g.,tea,coffee,red wine).Over the past decades,there has been rising scientific interest in their diverse benefits to human health,since dietary polyphenols display various bioactivities,such as antioxidant activity,anti-inflammatory activity,anticancer,anti-microbial activity,neuro-protective activity,among *** studies have demonstrated that diet with polyphenols is strongly related to decrease the risk of chronic *** this review,firstly,we systematically summarize classification and sources of dietary polyphenols,and focus on the current evidences defining their function and mechanism on improving chronic diseases,including diabetes,obesity,hypertension,***,future directions of dietary polyphenols are ***,despite the physiological effects of dietary polyphenols have been widely convinced in vitro and in vivo,human trials show inconsistent evidence with their beneficial effects in chronic diseases administration,so as to their unclear molecular *** clinical studies are needed to provide clear evidence on dietary polyphenols against chronic *** general,this paper provides comprehensive review of the sources and compositions of dietary polyphenols from plant materials,and presents an overview of the evidence on dietary polyphenols against chronic diseases,which may offer some constructive inspirations for further research on dietary polyphenols and industrial application in the food and medicine industry.

关键词： Dietary polyphenols Source Chronic diseases Diabetes Obesity Hypertension Hyperuricemia

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Rotational Grüneisen ratio: A probe for quantum criticality in anisotropic systems

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Physical Review B 2025年第4期111卷 045123-045123页

作者： Shohei Yuasa Yohei Kono Yuta Ozaki Minoru Yamashita Yasuyuki Shimura Toshiro Takabatake Shunichiro Kittaka Department of Physics Faculty of Science and Engineering Chuo University Bunkyo Tokyo 112-8551 Japan The Institute for Solid State Physics The University of Tokyo Kashiwa Chiba 277-8581 Japan Department of Quantum Matter Graduate School of Advanced Science and Engineering Hiroshima University Higashi-Hiroshima 739-8530 Japan Department of Basic Science The University of Tokyo Meguro Tokyo 153-8902 Japan

The Grüneisen ratio Γ and its magnetic analog, the magnetic Grüneisen ratio ΓH, are powerful probes to study the nature of quantum phase transitions. Here, we propose a Grüneisen parameter, the rotational Grüneisen ratio Γϕ, by introducing the orientation of the external field as a control parameter. We investigate Γϕ of the highly anisotropic paramagnets CeRhSn and CeIrSn by measuring the rotational magnetocaloric effect in a wide range of temperatures and magnetic fields. We find that the Γϕ data of both compounds are scaled by using the same critical exponents and the field-invariant critical field angle. Remarkably, the scaling function for the Γϕ data reveals the presence of highly anisotropic quantum criticality that develops as a function of the easy-axis component of the magnetic field from the quantum critical line. This paper provides a thermodynamic approach to detect and identify magnetic quantum criticality in highly anisotropic systems.

关键词： Magnetocaloric effects

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ON ASYMPTOTIC BEHAVIOR OF SOLUTIONS TO CUBIC NONLINEAR KLEIN-GORDON systems IN ONE SPACE DIMENSION

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Transactions of the American Mathematical Society Series B 2022年第18期9卷 517-563页

作者： Masaki, Satoshi Segata, Jun-Ichi Uriya, Kota Department of systems innovation Graduate school of Engineering Science Osaka University Osaka Toyonaka 560-8531 Japan Faculty of Mathematics Kyushu University Fukuoka 819-0395 Japan Department of Applied Mathematics Faculty of Science Okayama University of Science Okayama 700-0005 Japan

In this paper, we consider the large time asymptotic behavior of solutions to systems of two cubic nonlinear Klein-Gordon equations in one space dimension. We classify the systems by studying the quotient set of a suitable subset of systems by the equivalence relation naturally induced by the linear transformation of the unknowns. It is revealed that the equivalence relation is well described by an identification with a matrix. In particular, we characterize some known systems in terms of the matrix and specify all systems equivalent to them. An explicit reduction procedure from a given system in the suitable subset to a model system, i.e., to a representative, is also established. The classification also draws our attention to some model systems which admit solutions with a new kind of asymptotic behavior. Especially, we find new systems which admit a solution of which decay rate is worse than that of a solution to the linear Klein-Gordon equation by logarithmic order. © 2022 by the authors under Creative Commons Attribution-NonCommercial 3.0 License (CC BY NC 3.0).

关键词： asymptotic behavior of solutions long-range scattering matrix representation Nonlinear Klein-Gordon equation normalization of systems

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