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arXiv 2024年

作者： Wang, Yanyong Engel, Manuel Lane, Christopher Miranda, Henrique Hou, Lin Barbiellini, Bernardo Markiewicz, Robert S. Zhu, Jian-Xin Kresse, Georg Bansil, Arun Sun, Jianwei Zhang, Ruiqi Department of Physics and Engineering Physics Tulane University New OrleansLA70118 United States VASP Software GmbH Berggasse 21/14 Vienna1090 Austria Theoretical Division Los Alamos National Laboratory Los AlamosNM87545 United States Department of Physics School of Engineering Science LUT University LappeenrantaFI-53850 Finland Department of Physics Northeastern University BostonMA02115 United States Quantum Materials and Sensing Institute Northeastern University BurlingtonMA01803 United States University of Vienna Faculty of Physics Kolingasse 14-16 ViennaA-1090 Austria

Electron-phonon coupling (EPC) is key for understanding many properties of materials such as superconductivity and electric resistivity. Although first principles density-functional-theory (DFT) based EPC calculations are used widely, their efficacy is limited by the accuracy and efficiency of the underlying exchange-correlation functionals. These limitations become exacerbated in complex d- and f-electron materials, where beyond-DFT approaches and empirical corrections, such as the Hubbard U, are commonly invoked. Here, using the examples of CoO and NiO, we show how the efficient r2SCAN density functional correctly captures strong EPC effects in transition-metal oxides without requiring the introduction of empirical parameters. We also demonstrate the ability of r2SCAN to accurately model phonon-mediated superconducting properties of the main group compounds (e.g., MgB2), with improved electronic bands and phonon dispersions over those of traditional density functionals. Our study provides a pathway for extending the scope of accurate first principles modeling of electron-phonon interactions to encompass complex d-electron materials. © 2024, CC BY.

关键词： Nickel oxide

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Segmentation of Weakly Visible Environmental Microorganism Images Using Pair-wise Deep Learning Features

arXiv

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arXiv 2022年

作者： Kulwa, Frank Li, Chen Grzegorzek, Marcin Rahaman, Md Mamunur Shirahama, Kimiaki Kosov, Sergey Microscopic Image and Medical Image Analysis Group MBIE College Northeastern University Shenyang110169 China Institute for Medical Informatics University of Lübeck Ratzeburger Allee 160 Lübeck23538 Germany Faculty of Science and Engineering Kindai University Kindai Japan Faculty of Data Engineering Jacobs University Bremen Bremen Germany

The use of Environmental Microorganisms (EMs) offers a highly efficient, low cost and harmless remedy to environmental pollution, by monitoring and decomposing of pollutants. This relies on how the EMs are correctly segmented and identified. With the aim of enhancing the segmentation of weakly visible EM images which are transparent, noisy and have low contrast, a Pairwise Deep Learning Feature Network (PDLF-Net) is proposed in this study. The use of PDLFs enables the network to focus more on the foreground (EMs) by concatenating the pairwise deep learning features of each image to different blocks of the base model SegNet. Leveraging the Shi and Tomas descriptors, we extract each image’s deep features on the patches, which are centred at each descriptor using the VGG-16 model. Then, to learn the intermediate characteristics between the descriptors, pairing of the features is performed based on the Delaunay triangulation theorem to form pairwise deep learning features. In this experiment, the PDLF-Net achieves outstanding segmentation results of 89.24%, 63.20%, 77.27%, 35.15%, 89.72%, 91.44% and 89.30% on the accuracy, IoU, Dice, VOE, sensitivity, precision and specificity, respectively. © 2022, CC BY-SA.

关键词： Microorganisms

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A Novel Discrete Whale Optimization Algorithm for Solving the Capacitated Vehicle Routing Problem

A Novel Discrete Whale Optimization Algorithm for Solving th...

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Mechatronics and robotics engineering (ICMRE), International Conference on

作者： Ahmed S. ElMousel Omar M. Khairy Omar M. Shehata Elsayed I. Morgan Multi-Robot Systems (MRS) Research Group Cairo Egypt Faculty of Engineering and Materials Science German University in Cairo Egypt Faculty of Engineering Ain Shams University Cairo Egypt

ISBN: (数字)9781665414890

ISBN: (纸本)9781665430531

Cooperation between vehicles in selecting the optimal set of routes plays a very important role in enhancing the economic advantages of logistical operations. This is the main objective of the Capacitated Vehicle Routing Problem. It is defined as determining the optimal set of routes for a fleet of vehicles taking into consideration the capacity of each vehicle. Vehicle Routing Problem is considered a combinatorial Non-deterministic Polynomial hard Optimization Problem, making it difficult to be solved directly when the problem size is large. Hence, metaheuristic optimization techniques were used to solve the problem. In this paper a recent continuous natural inspired meta-heuristic technique, which is Whale Optimization Algorithm is discretized introducing the Discrete Whale Optimization Algorithm and used to solve the Capacitated Vehicle Routing Problem. Simulations on 15 different benchmark problems were conducted and results were compared with the best known solutions. Results show that Discrete Whale Optimization Algorithm is able to determine the optimal or near to optimal solution.

关键词： Economics Mechatronics Algorithms Benchmark testing Routing Optimization robots

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Defect Quantification Evaluation of a Rolling Element Bearing Based on Physical Modelling and Instantaneous Vibration Energy Investigation

SSRN

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SSRN 2024年

作者： Luo, Maolin Guo, Yu Su, Zuqiang André, Hugo Tang, Zhi Zhou, Chen Li, Chao School of Advanced Manufacturing Engineering Chongqing University of Posts and Telecommunications Chongqing400065 China Postdoctoral Research Workstation of Chongqing Information Accessibility and Service Robot Engineering Technology Research Center Chongqing University of Posts and Telecommunications Chongqing400065 China Faculty of Mechanical and Electrical Engineering Kunming University of Science and Technology Kunming650500 China Université de Lyon Université Jean Monnet de Saint-Etienne LASPI EA3059 20 Avenue de Paris Roanne42334 Cedex France

The estimation of defect size of rolling element bearing (REB) is expected to remain a significant and challenging task in vibration-based condition monitoring of rotating machinery. The conventional approaches focus on extracting the time spacing of the double impulse signal to estimate the defect size of the REB which is subsequently found to be inaccurate and arbitrary. In this paper, a novel model is developed to estimate the defect size of the REB based on the theories of physics and kinematics, in which the multi-event excitations, i.e. the entry, destressing and collision generated by the rolling element-defect interaction, are considered and investigated. The kinematic and geometric contact mechanism, which is mapped onto the rolling element-defect interaction as the rolling element passes over the defect zone, are analysed and modelled as a function of the time information. In view of the fact that the variation of the vibration energy contained in the multi-impact vibration response is deeply mapped to the time information, a novel idea is proposed to extract the time information by analyzing the instantaneous energy variation of the defect-induced impulse using the scheme of the autoregressive model and the smooth pseudo Wigner-Ville distribution. The proposed model and idea are validated by experiments under different defect size and rotational speed scenarios. The results calculated by the proposed model show good agreement with the real defect size. Experimental and modelling comparisons show that the proposed model has reliable effectiveness and good performance and confidence in quantifying the size of the defect area localised on the outer raceway of the REB, and can provide some theoretical guidance for damage detection and remaining useful life prediction of the REB. © 2024, The Authors. All rights reserved.

关键词： Wigner-Ville distribution

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robot-to-image Registration with Geometric Marker for CT-guided robotic Needle Insertion

Robot-to-image Registration with Geometric Marker for CT-gui...

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IEEE International Conference on robotics and Automation (ICRA)

作者： Iori Ikeda Kai Sekine Ryosuke Tsumura Hiroyasu Iwata Graduate School of Creative Science and Engineering Waseda University Tokyo Japan Global Robot Academia Laboratory Waseda University Tokyo Japan Faculty of Science and Engineering Waseda University Tokyo Japan

A computed tomography (CT)-guided robotic needle requires registration to transfer coordinates between the robot and CT image for accurate insertion. In our previous work, we proposed a geometric marker that allows direct registration between a CT image and robot and demonstrated its proof of concept. In this paper, we present a registration algorithm for calculating the six-degrees-of-freedom error of one CT scan, and we demonstrated the registration with our needle insertion robot. We obtained its geometric shape from differences between multiple images, which we converted into the coordinate axes of the marker, to calculate the posture of the marker. Since the algorithm uses changes in the cross-sectional shapes of images, it can be adapted for markers of different sizes. In the evaluation, the registration error for insertion by the CT-guided robotic needle with the proposed algorithm was calculated to be 1.8 mm and 0.35°. The accuracy of the proposed algorithm is sufficient for lower abdominal insertion and shows its potential for clinical applications. When the markers are half the size of the original, the rotational error is the same as the original, but the positional error is about half. This suggested the possibility of miniaturizing the marker.

关键词： Automation Shape robot kinematics Computed tomography Conferences Needles End effectors

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Shear banding-inducedslip enables unprecedented strength-ductility combination of laminated metallic composites

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Journal of Materials science & Technology 2022年第15期110卷 260-268页

作者： Shuang Jiang Ru Lin Peng Kristián Máthis Hai-Le Yan Gergely Farkas Zoltán Hegedues Ulrich Lienert Johan Moverare Xiang Zhao Liang Zuo Nan Jia Yan-Dong Wang Key Laboratory for Anisotropy and Texture of Materials(Ministry of Education) School of Material Science and EngineeringNortheastern UniversityShenyang 110819China Division of Engineering Materials Department of Management and EngineeringLinköping UniversityLinköping 58183Sweden Department of Physics of Materials Faculty of Mathematics and PhysicsCharles UniversityKe Karlovu 5Prague 12116Czech Republic Nuclear Physics Institute of the Czech Academy of Sciences Rež130Husinec-ˇRež25068Czech Republic Deutsches Elektronen-Synchrotron(DESY) Notkestr.85Hamburg 22607Germany Beijing Advanced Innovation Center for Materials Genome Engineering State Key Laboratory for Advanced Metals and MaterialsUniversity of Science and Technology BeijingBeijing 100083China

Shear bands in metallic materials have been reported to be catastrophic because they normally lead to non-uniform plastic deformation. Ductility of laminated metallic composites deteriorates with increasing processing strain, particularly for those having hexagonal-close-packed(hcp) constituents due to inadequate slip systems and consequently prominent shear banding. Here, we propose a design strategy that counterintuitively tolerates the bands with localized strains, i.e. the shear banded laminar(SBL) structure, which promotes dislocation activation in hcp metals and renders unprecedented strengthductility combination in hcp-metal-based composites fabricated by accumulative roll bonding(ARB). The SBL structure is characterized with one soft hcp metal constrained by adjacent hard metal in which dislocations have been accumulated near the bimetal interfaces. High-energy X-ray diffraction astonishingly reveals that more than 90% of dislocations are non-basal in Ti layers of the SBL Ti/Nb composite processed by eight ARB cycles. Moreover, dislocations occupy a high fraction of ~30%, promoting further cross slip. The unique stress field tailored by both shear banding and heterophase interface-mediated deformation accommodation triggers important slip. This SBL design is of significance for developing hcp-based laminates and other heterostructured materials with high performances.

关键词： Shear band Laminated metallic composites Ductility High-energy X-ray diffraction Dislocation slip

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A New Approach for Training on EMG-based Prosthetic Hand Control 2

A New Approach for Training on EMG-based Prosthetic Hand Con...

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2nd IEEE Global Conference on Life sciences and Technologies, LifeTech 2020

作者： Shibanoki, Taro Nakamura, Go Tsuji, Toshio Hashimoto, Kazuya Chin, Takaaki Ibaraki University Graduate School of Science and Engineering Ibaraki Japan Hyogo Institute of Assistive Technology Robot Rehabilitation Center Kobe Japan Hiroshima University Faculty of Engineering Hiroshima Japan

ISBN: (纸本)9781728170633

This paper proposes a training system for myoelectric prosthetic hand control in dual-arm operation. The system can train muscular cooperation timing of both arms. Training experiments under two conditions were conducted with an experienced participant and the results showed that the user could generate accurate EMG patterns at the specified timing. © 2020 IEEE.

关键词： Virtual reality

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Funnel nonsingular terminal sliding mode control based on TDE for robotic manipulators with model uncertainties

Funnel nonsingular terminal sliding mode control based on TD...

引用

Chinese Automation Congress (CAC)

作者： Huaizhen Wang Lijin Fang Tangzhong Song Menghui Hu Zhenghan Wu Faculty of Robot Science and engineering Northeastern University Shenyang China Cheeloo college of medicine Shandong University Jinan China

ISBN: (数字)9781728176871

ISBN: (纸本)9781728176888

Due to the accurate robotics dynamics model or numerous parameters are usually unsuitable for real applications, a funnel nonsingular terminal sliding mode control(NTSMC) based on time delay estimate(TDE) is developed in our research paper. Firstly, the TDE technique is developed to compensate the system dynamics for robotic manipulators, which can achieve an ideal model-free advantage. Further, a funnel variable is used to transform the tracking error fall within funnel boundary. Based on the funnel variable, a novel funnel NTSMC is designed to provide transient and steady-state trajectory tracking performance for robot system. Finally, the reasonable experimental results on Rethink sawyer are presented to verify the high accurate of trajectory tracking performance of our researched approach.

关键词： robots Manipulator dynamics Service robots Trajectory tracking Delay effects Estimation Transient analysis

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Improving Referring Expression Comprehension by Suppressing Expression-unrelated Proposals

Improving Referring Expression Comprehension by Suppressing ...

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Electronic Information engineering and Computer Technology (EIECT), International Conference on

作者： Qun Wang Feng Zhu Xiang Li Ruida Ye Key Laboratory of Opto-Electronic Information Processing Chinese Academy of Sciences Shenyang China Shenyang Institute of Automation Chinese Academy of Sciences Shenyang China Institutes for Robotics and Intelligent Manufacturing Chinese Academy of Sciences Shenyang China University of Chinese Academy of Sciences Beijing China Faculty of Computer Science and Engineering Northeastern University Shenyang China Department of Aerospace Engineering and Technology Space Engineering University Beijing China

The prevailing referring expression comprehension (REC) method is based on two stages: 1) detecting multiple candidate proposals using an object detector and 2) aligning proposals with text descriptions. Existing two-stage models have achieved significant improvements with excellent alignment modules. However, their alignment modules treat each proposal equally without filtering expression-unrelated proposals. These expression-unrelated proposals may interfere with the alignment modules’ ability to accurately reason about the target proposal. These proposals also increase the difficulty of training alignment modules. To solve this problem, we propose a new framework, that can suppress expression-unrelated proposals for alignment modules. Specifically, we first design a suppression module, which calculates the relevance scores between the proposals and the expression by using the semantics in the expression. Then, these scores are integrated into three basic alignment modules, including subject, location, and relationship modules, to guide each module to focus on the expression-related proposals. We conduct extensive experiments on three benchmark datasets, and the results show the effectiveness of our suppression module and performance improvement.

关键词：

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An Adaptive Control Approach for Intelligent Wheelchair Based on BCI Combining with QoO

An Adaptive Control Approach for Intelligent Wheelchair Base...

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International Joint Conference on Neural Networks (IJCNN)

作者： Fei Wang Zongfeng Xu Weiwei Zhang Shichao Wu Yahui Zhang Sonya Coleman Faculty of Robot Science and Engineering Northeastern University Shenyang China College of Information Science and Engineering Northeastern University Shenyang China Intelligent Systems Research Centre Ulster University Londonderry United Kingdom

ISBN: (数字)9781728169262

ISBN: (纸本)9781728169279

In recent years, brain-controlled intelligent wheelchairs have received extensive attention, which combines the accessibility of the Brain-computer Interface (BCI) system with the intelligence of wheelchairs. However, current brain-controlled wheelchairs are always operated in a fixed mode. The Electroencephalogram (EEG) signals with the fixed acquisition time are analyzed without considering the state of the user, which not only increases the risk of misoperation, but seriously reduces the information transfer rate of the system. To solve this problem, an adaptive control approach for intelligent wheelchair based on BCI combining with Quality of Operating (QoO) is proposed. Firstly, the influence of motor imagery signals with different time lengths in different states on classification accuracy was analyzed using tangent space Support Vector Machine (TSSVM) algorithm. Then, the definition of QoO was introduced, which was obtained by analyzing sample entropy and power spectral density (PSD) of four kinds of EEG activities, delta, theta, alpha and beta. Finally, the acquisition time of required EEG signals was adjusted according to the value of QoO. We constructed a brain-controlled wheelchair system and conducted real environmental experiments for 9 subjects using strategies, with and without adaptive control approach. The results show that the approach proposed in this paper can reduce the risk of misoperation and increase the information transfer rate on the premise of ensuring the classification performance during navigation in complex indoor environment.

关键词： Wheelchairs Electroencephalography Entropy Manifolds Support vector machines Fatigue Adaptive control

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