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8th International Conference on computer and Communication Systems, ICCCS 2023

作者： Wu, Tong Li, Han Gao, Bo Xiong, Ke Fan, Pingyi Ben Letaief, Khaled Eng. Res. Center of Network Management Technology for High Speed Railway of Ministry of Education School of Computer and Information Technology Beijing Jiaotong University Beijing100044 China Beijing Jiaotong University Collaborative Innovation Center of Railway Traffic Safety Beijing100044 China Beijing Jiaotong University National Engineering Research Center of Advanced Network Technologies Beijing100044 China Tsinghua University Department of Electronic Engineering Beijing100084 China Hong Kong University of Science and Technology Department of Electrical and Computer Engineering Hong Kong Hong Kong

ISBN: (纸本)9781665456128

Ultra-wideband (UWB) is a popular technology for indoor positioning. However, non-line-of-sight (NLOS) propagation caused by human occlusion dramatically affects the accuracy of UWB-based indoor positioning. Most of the existing works focused on mitigating NLOS errors in the scenarios with building structure occlusion, but the NLOS mitigation under human occlusion has not been well addressed. To this end, this paper aims to mitigate the NLOS impact of human occlusion, and then proposes a method of NLOS mitigation to reduce NLOS ranging errors under human occlusion with low-cost UWB devices (i.e., NM-LUD). It takes a set of signal features extracted from low-cost devices as input, calculates their weights and mitigates the ranging error based on the features' weights. Experiment results on the two data sets collected by LinkTrack S and UML1 UWB devices show that the method reduces ranging error from 0.9009 m to 0.1435 m (about by 84.07%) and from 0.7466 m to 0.0792 m (about by 89.39%) respectively, which greatly mitigates the influence of NLOS caused by human occlusion. © 2023 IEEE.

关键词： Costs

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Development and Validation of a Prognostic Risk Score System for COVID-19 Inpatients:A Multi-center Retrospective Study in China

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engineering 2022年第1期8卷 116-121页

作者： Ye Yuan Chuan Sun Xiuchuan Tang Cheng Cheng Laurent Mombaerts Maolin Wang Tao Hu Chenyu Sun Yuqi Guo Xiuting Li Hui Xu Tongxin Ren Yang Xiao Yaru Xiao Hongling Zhu Honghan Wu Kezhi Li Chuming Chen Yingxia Liu Zhichao Liang Zhiguo Cao Hai-Tao Zhang Ioannis Ch.Paschaldis Quanying Liu Jorge Goncalves Qiang Zhong Li Yan School of Artificial Intelligence and Automation Huazhong University of Science and TechnologyWuhan 430074China School of Mechanical Science and Engineering Huazhong University of Science and TechnologyWuhan 430074China Luxembourg Centre for Systems Biomedicine University of LuxembourgBelval L-4367Luxembourg Department of Plant Sciences University of CambridgeCambridge CB21TNUK Department of Emergency Tongji HospitalTongji Medical CollegeHuazhong University of Science and TechnologyWuhan 430030China AMITA Health Saint Joseph Hospital Chicago ChicagoIL 60657USA Department of Anesthesiology Tongji HospitalTongji Medical CollegeHuazhong University of Science and TechnologyWuhan 430030China Huazhong University of Science and Technology-Wuxi Research Institute Wuxi 214174China Division of Cardiology Department of Internal MedicineTongji HospitalTongji Medical CollegeHuazhong University of Science and TechnologyWuhan 430030China Institute of Health Informatics University College LondonLondon NW12DAUK Department of Biomedical Engineering Southern University of Science and TechnologyShenzhen 518055China Department of Infectious Diseases Shenzhen Key Laboratory of Pathogenic Microbiology and ImmunologyNational Clinical Research Center for Infectious DiseaseThe Third People’s Hospital of Shenzhen(Second Hospital Affiliated with the Southern University of Science and Technology)Shenzhen 518055China Department of Electrical and Computer Engineering&Division of Systems Engineering&Department of Biomedical Engineering Boston UniversityBostonMA 02215USA

Coronavirus disease 2019(COVID-19)has become a worldwide *** patients of COVID-19 suffer from a high mortality rate,motivating the development of convenient and practical methods that allow clinicians to promptly identify high-risk ***,we have developed a risk score using clinical data from 1479 inpatients admitted to Tongji Hospital,Wuhan,China(development cohort)and externally validated with data from two other centers:141 inpatients from Jinyintan Hospital,Wuhan,China(validation cohort 1)and 432 inpatients from The Third People’s Hospital of Shenzhen,Shenzhen,China(validation cohort 2).The risk score is based on three biomarkers that are readily available in routine blood samples and can easily be translated into a probability of *** risk score can predict the mortality of individual patients more than 12 d in advance with more than 90%accuracy across all ***,the Kaplan-Meier score shows that patients can be clearly differentiated upon admission as low,intermediate,or high risk,with an area under the curve(AUC)score of *** summary,a simple risk score has been validated to predict death in patients infected with severe acute respiratory syndrome coronavirus 2(SARS-CoV-2);it has also been validated in independent cohorts.

关键词： COVID-19 Risk score Mortality risk prediction

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High-performance and broadband photodetection of bicrystalline(GaN)_(1-x)(ZnO)_(x)solid solution nanowires via crystal defect engineering

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Journal of Materials science & Technology 2021年第26期85卷 255-262页

作者： Zongyi Ma Gang Li Xinglai Zhang Jing Li Cai Zhang Yonghui Ma Jian Zhang Bing Leng Natalia Usoltseva Vladimir An Baodan Liu School of Materials Science and Engineering Liaoning Technical UniversityFuxin 123000China Shenyang National Laboratory for Materials Science Institute of Metal ResearchChinese Academy of SciencesShenyang 110016China Structure Analysis Division Testing CenterInstitute of Metal ResearchChinese Academy of ScienceShenyang 110016China Department of Plastic Surgery The First Affiliated Hospital of China Medical UniversityShenyang 110001China School of Advanced Manufacturing Technologies National Research Tomsk Polytechnic University30 Lenin Ave.Tomsk 634050Russia

Crystal defect engineering is widely used as an effective approach to regulate the optical and optoelectronic properties of semiconductor ***,photogenerated electron-hole pair recombination centers caused by structural defects usually lead to the reduction of optoelectronic *** this work,a high-performance photodetector based on(GaN)_(1-x)(ZnO)_(x)solid solution nanowire with bicrystal structure is fabricated and it shows excellent photoresponse to ultraviolet and visible *** highest responsivity of the photodetector is as high as 60,86 and 43 A/W under the irradiation of365 nm,532 nm and 650 nm,*** corresponding response time is as fast as 170,320 and 160 *** wide spectral responses can be attributed to various intermediate energy levels induced by the introduction of various structural defects and dopants in the solid solution ***,the peculiar bicrystal boundary along the axial direction of the nanowire provides two parallel and fast transmission channels for photo-generated carriers,reducing the recombination of photo-generated *** findings provide a valued example using crystal defect engineering to broaden the photoresponse range and improve the photodetector performance and thus can be extended to other material systems for various optoelectronic applications.

关键词： (GaN)1-x(ZnO)x Nanowires Photodetectors Broadband photodetection Crystal defect engineering

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Zero-Shot Sim2Real Transfer of Deep Reinforcement Learning Controller for Tower Crane System

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IFAC-PapersOnLine 2023年第2期56卷 10016-10020页

作者： Mohammed B. Mohiuddin Abdel Gafoor Haddad Igor Boiko Yahya Zweiri Center for Autonomous Robotic Systems Khalifa University Abu Dhabi UAE Department of Electrical Engineering and Computer Science Khalifa University Abu Dhabi UAE Department of Aerospace Engineering and Director of Advanced Research and Innovation Center Khalifa University Abu Dhabi UAE

Control of nonlinear systems is a challenging task that often requires linearization, which limits the operating envelope. Moreover, designing a controller for such nonlinear systems requires complex tuning rules and expert system knowledge. Deep Reinforcement Learning (DRL) has been used as a controller for nonlinear systems. However, its applicability is hindered by the Sim2Real gap, an issue where the DRL agent trained in simulation does not transfer to reality. In this work, we propose using DRL for the control of nonlinear systems across the Sim2Real gap by utilizing a detailed dynamic model of the nonlinear system. To demonstrate the proposed methodology, we use a tower crane as the nonlinear system of interest. The control policy of the DRL agent is learned rather than explicitly programmed. To highlight the effectiveness of the proposed DRL-based controller, the results are compared with the PI controller. The experimental results presented demonstrate the successful Sim2Real transfer and effectiveness of the proposed approach.

关键词： Reinforcement learning and deep learning in control Mechatronic systems Control of constrained systems Simulation to reality transfer

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Structural basis of the activation of metabotropic glutamate receptor 3

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细胞研究（英文版） 2022年第7期32卷 695-698页

作者： Wei Fang Fan Yang Chanjuan Xu Shenglong Ling Li Lin Yingxin Zhou Wenjing Sun Xiaomei Wang Peng Liu Philippe Rondard Pan Shi Jean-Philippe Pin Changlin Tian Jianfeng Liu The First Affiliated Hospital of USTC School of Life SciencesDivision of Life Sciences and MedicineJoint Center for Biological Analytical ChemistryAnhui Engineering Laboratory of Peptide DrugAnhui Laboratory of Advanced Photonic Science and TechnologyUniversity of Science and Technology of ChinaHefeiAnhuiChina Key Laboratory of Molecular Biophysics of MOE International Research Center for Sensory Biology and Technology of MOSTCollege of Life Science and TechnologyHuazhong University of Science and Technology(HUST)WuhanHubeiChina Bioland Laboratory Guangzhou Regenerative Medicine and Health Guangdong LaboratoryGuangzhouGuangdongChina Key Laboratory of Molecular Biophysics of MOE International Research Center for Sensory Biology and Technology of MOSTCollege of Life Science and TechnologyHuazhong University of Science and Technology(HUST)WuhanHubeiChina Institut de Génomique Fonctionnelle(IGF) Université de MontpellierCNRSINSERMMontpellierFrance

Dear Editor, Glutamate is used by most synapses in the brain and responsible for fast excitatory transmission,thus playing impor-tant roles in excitotoxicity and ammonium detoxification in the brain.1 Eight G protein-coupled metabotropic glutamate recep-tors(mGlus)are essential in sensing glutamate concentrations from the ten nanomolar to ten millimolar range in the brain.2 The mGlu3 is in high sequence homology with mGlu2,but mGlu3 is of greater interest because it is responsible for the detection of very low concentrations of glutamate.2 The mGlu3 is found in astrocytes and in both pre-and post-synaptic elements in neurons,whereas mGlu2 is mainly distributed in neurons,particularly in the preterminal region of axons,far from the active zone of neurotransmitter *** evidence supports a role of mGlu3 not only in maintaining synaptic homeostasis but also in promoting neuronal and astrocyte survival in several pathological conditions.4 The mGlu3 has garnered attention as a potent therapeutic target for both psychiatric disorders and neurodegenerative diseases such as schizophrenia,Alzheimer's disease,anxiety,depression,pain and addiction.5,6 Polymorphic variants of the gene encoding mGlu3 are linked to ***,recent studies have suggested that negative allosteric modulators(NAMs)of both mGlu3 and mGlu2 induced rapid antidepressant-like effects through related but divergent mechanisms of action.7 Moreover,the high sequence homology of mGlu3 and mGlu2 restricts the development of selective ligands,which demands the structures of mGlu3.

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Free convective and radiating flow confined between vertical parallel MHD plates with heat transfer and uniform inclined magnetic field

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International Journal of Thermofluids 2024年 23卷

作者： Shanthi, M. Hemamalini, P.T. Asmat, Farwa Abdullaeva, Sayfutdinovna Waqas, M. Gupta, Manish Khan, Sami Ullah Department of Mathematics Karpagam College of Engineering Tamil Nadu India Department of Mathematics Nehru college of Engineering Tamil Nadu India School of Mathematical Sciences Peking University Beijing100871 P.R. China Department of Mathematics and Information Technologies Vice-Rector for Scientific Affairs Tashkent State Pedagogical University Tashkent Uzbekistan Department of Computer Science National University of Technology Islamabad44000 Pakistan Division of Research and Development Lovely Professional University Phagwara India Department of Mathematics Namal University Mianwali42250 Pakistan Department of Computer Science and Mathematics Lebanese American University Beirut Lebanon

The objective of this article is to investigate on the natural convective MHD flow of viscous fluid with assessment of mass and heat transfer effects. The flow is confined by two parallel plates. The walls of plates are assumed to be porous. The thermal radiation effects and inclined magnetic field applications are endorsed. One plate maintains the adiabatic phenomenon. The simplified form of problem is achieved with help of dimensionless variables. The analytical outcomes for given formulated problem are obtained with help of perturbation technique. Effects of various flow parameters involving to the problem are graphically impacted. It is claimed that velocity profile enhances due to modified Grashof number. An enhancement in heat transfer is subject to increasing the radiation parameter. Moreover, concentration profile reduces due to Reynolds number. © 2024

关键词： Perturbation techniques

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Experimental evidence of crystal-field, Zeeman splitting, and spin-phonon excitations in the quantum supersolid Na2BaCo(PO4)2

arXiv

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arXiv 2024年

作者： Hussain, Ghulam Zhang, Jianbo Zhang, Man Ding, Yang Yadav, Lalit Haravifard, Sara Zheng, Changcheng Wang, Xiawa Division of Natural and Applied Sciences Duke Kunshan University Jiangsu Kunshan215316 China Center for High-Pressure Science and Technology Advanced Research Beijing100094 China Department of Mechanical Engineering and Materials Science Duke University DurhamNC27708 United States

Drawing inspiration from the recent breakthroughs in the Na2BaCo(PO4)2 quantum magnet, renowned for its spin supersolidity phase and its potential for revolutionary cooling applications, our study delves into the intricate interplay among lattice, spin, and orbital degrees of freedom within this intriguing compound. Using meticulous temperature, field, and pressure-dependent Raman scattering techniques, we present compelling experimental evidence revealing pronounced crystal-electric field (CEF) excitations, alongside the interplay of CEF-phonon interactions. Notably, our experiments elucidate all electronic transitions from j1/2 to j3/2 and from j1/2 to j5/2, with energy level patterns closely aligned with theoretical predictions based on point-charge models. Furthermore, the application of a magnetic field and pressure reveals Zeeman splittings characterized by Landé-g factors as well as the CEF-phonon resonances. The anomalous shift in coupled peak at low temperatures originates from the hybridization of CEF and phonon excitations due to their close energy proximity. These findings constitute a significant step towards unraveling the fundamental properties of this exotic quantum material for future research in fundamental physics or engineering application. © 2024, CC BY.

关键词： Cobalt compounds

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Measurement of Synthetic-Dimension Band Structures in Silicon Coupled Ring Resonators

Measurement of Synthetic-Dimension Band Structures in Silico...

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Pacific Rim Conference on Lasers and Electro-Optics (CLEO/Pacific Rim)

作者： Ruming Zhang Liucun Li Mikiya Kamata Toshihiko Baba Tomoki Ozawa Yasutomo Ota Satoshi Iwamoto Research Center for Advanced Science and Technology The University of Tokyo Tokyo Japan Department of Electrical and Computer Engineering Yokohama National University Yokohama Japan Advanced Institute for Materials Research Tohoku University Sendai Japan Department of Applied Physics and Physico-Informatics Keio University Yokohama Japan

We fabricated integrated silicon coupled-ring resonators and measured photonic band structures for synthetic frequency lattices with different configurations. A phase difference between two modulation signals introduc... 详细信息

ISBN: (数字)9798350372076

ISBN: (纸本)9798350372083

关键词： Band structures Phase modulation Resonant frequency Measurement by laser beam Ring lasers Silicon Frequency measurement

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Dual-View Pyramid Pooling in Deep Neural Networks for Improved Medical Image Classification and Confidence Calibration

arXiv

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arXiv 2024年

作者： Zhang, Xiaoqing Nie, Qiushi Xiao, Zunjie Zhao, Jilu Wu, Xiao Guo, Pengxin Li, Runzhi Liu, Jin Wei, Yanjie Pan, Yi Center for High Performance Computing Shenzhen Key Laboratory of Intelligent Bioinformatics Shenzhen Institute of Advanced Technology Chinese Academy of Sciences Guangdong Shenzhen518055 China Department of Computer Science and Engineering Southern University of Science and Technology Shenzhen518055 China Department of Statistics and Actuarial Science The University of Hong Kong 999077 Hong Kong Cooperative Innovation Center of Internet Healthcare Zhengzhou University Zhengzhou450001 China Hunan Provincial Key Lab on Bioinformatics School of Computer Science and Engineering Central South University Changsha410083 China Xinjiang Engineering Research Center of Big Data and Intelligent Software School of software Xinjiang University Wulumuqi830046 China Faculty of Computer Science and Control Engineering Shenzhen University of Advanced Technology Shenzhen China

Spatial pooling (SP) and cross-channel pooling (CCP) operators have been applied to aggregate spatial features and pixel-wise features from feature maps in deep neural networks (DNNs), respectively. Their main goal is to reduce computation and memory overhead without visibly weakening the performance of DNNs. However, SP often faces the problem of losing the subtle feature representations, while CCP has a high possibility of ignoring salient feature representations, which may lead to both miscalibration of confidence issues and suboptimal medical classification results. To address these problems, we propose a novel dual-view framework, the first to systematically investigate the relative roles of SP and CCP by analyzing the difference between spatial features and pixel-wise features. Based on this framework, we propose a new pooling method, termed dual-view pyramid pooling (DVPP), to aggregate multi-scale dual-view features. DVPP aims to boost both medical image classification and confidence calibration performance by fully leveraging the merits of SP and CCP operators from a dual-axis perspective. Additionally, we discuss how to fulfill DVPP with five parameter-free implementations. Extensive experiments on six 2D/3D medical image classification tasks show that our DVPP surpasses state-of-the-art pooling methods in terms of medical image classification results and confidence calibration across different DNNs. © 2024, CC BY.

关键词： Deep neural networks

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Robust Co-Design of Canonical Underactuated Systems for Increased Certifiable Stability

Robust Co-Design of Canonical Underactuated Systems for Incr...

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IEEE International Conference on Robotics and Automation (ICRA)

作者： Federico Girlanda Lasse Shala Shivesh Kumar Frank Kirchner Robotics Innovation Center German Research Center for Artificial Intelligence (DFKI GmbH) Bremen Germany Department of Information Engineering University of Padova Italy Department of Mechanics & Maritime Sciences Dynamics Division Chalmers University of Technology Gotheburg Sweden Faculty of Mathematics and Computer Science University of Bremen Bremen Germany

ISBN: (数字)9798350384574

ISBN: (纸本)9798350384581

Optimal behaviours of a system to perform a specific task can be achieved by leveraging the coupling between trajectory optimization, stabilization, and design optimization. This approach is particularly advantageous for underactuated systems, which are systems that have fewer actuators than degrees of freedom and thus require for more elaborate control systems. This paper proposes a novel co-design algorithm, namely Robust Trajectory Control with Design optimization (RTC-D). An inner optimization layer (RTC) simultaneously performs direct transcription (DIRTRAN) to find a nominal trajectory while computing optimal hyperparameters for a stabilizing time-varying linear quadratic regulator (TVLQR). RTC-D augments RTC with a design optimization layer, maximizing the system’s robustness through a time-varying Lyapunov-based region of attraction (ROA) analysis. This analysis provides a formal guarantee of stability for a set of off-nominal states. The proposed algorithm has been tested on two different underactuated systems: the torque-limited simple pendulum and the cart-pole. Extensive simulations of off-nominal initial conditions demonstrate improved robustness, while real-system experiments show increased insensitivity to torque disturbances.

关键词： Couplings Torque Regulators Stability analysis Robustness Task analysis Robotics and automation

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