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7th International Conference on Mechatronics and Intelligent Robotics, ICMIR 2023

作者： Li, Hao Li, Zhonghu Zhang, Xinyu Yang, Liqing Wang, Jinming School of Information Engineering Inner Mongolia University of Science and Technology Baotou014010 China Key Laboratory of Solar Thermal and Wind Power Generation of Inner Mongolia Autonomous Region Baotou014010 China School of Mechanical Engineering Inner Mongolia University of Science and Technology Baotou014010 China

ISBN: (数字)9781510668089

ISBN: (纸本)9781510668072

The corresponding relationship between magnetic induction intensity and GMM strain was analyzed theoretically. The finite element software COMSOL Multiphysics was used to select and compare the transducer, and the static simulation analysis of the bias magnetic field was carried *** the axial magnetic induction intensity and magnetic field heterogeneity of GMM rod as optimization evaluation indexes, the optimal magnetic circuit design scheme was determined by optimizing the transducer shell material, the relative permeability of magnetic block and the structural parameters of permanent magnet. The two indexes were significantly improved and the magnetic leakage was reduced, and clear test results were obtained. © 2023 SPIE. All rights reserved.

关键词： Transducers

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Interlayer sensitized van der Waals heterojunction photodetector with enhanced performance

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Nano Research 2023年第7期16卷 10537-10544页

作者： Huide Wang Yonghong Zeng FanXu Meng Rui Cao Yi Liu Zhinan Guo Tingting Wang Haiguo Hu Sidi Fan Yatao Yang SWageh Omar AAl-Hartomy Abul Kalam Yonghong Shao Yu-Jia Zeng Dianyuan Fan Han Zhang International Collaborative Laboratory of 2D Materials for Optoelectronics Science and Technology Institute of Microscale OptoelectronicsInterdisciplinary Center of High Magnetic Field Physics of Shenzhen UniversityCollege of Physics and Optoelectronic EngineeringShenzhen UniversityShenzhen 518060China Guangzhou Key Laboratory of Sensing Materials and Devices Center for Advanced Analytical ScienceSchool of Chemistry and Chemical EngineeringGuangzhou UniversityGuangzhou 510006China Key Laboratory of Optoelectronic Devices and Systems of Ministry of Education and Guangdong Province College of Physics and Optoelectronic EngineeringShenzhen UniversityShenzhen 518060China College of Electronics and Information Engineering Shenzhen UniversityShenzhen 518060China Center of Characterization and Analysis Jilin Institute of Chemical TechnologyJilin 132022China School of Mathematical&Physical Sciences Wuhan Textile UniversityWuhan 430200China Department of Physics Faculty of ScienceKing Abdulaziz UniversityJeddah 21589Saudi Arabia Research Center for Advanced Materials Science(RCAMS) King Khalid UniversityP.O.Box 9004Abha 61413Saudi Arabia Department of Chemistry College of ScienceKing Khalid UniversityP.O.Box 9004Abha 61413Saudi Arabia

Although photodetection based on two-dimensional(2D)van der Waals(vdWs)P-N heterojunction has attracted extensive attention recently,their low responsivity(R)due to the lack of carrier gain mechanism in reverse bias or zero bias operation hinders their applications in advanced photodetection ***,a black phosphorus/rhodamine 6G/molybdenum disulfide(BP/R6G/MoS_(2))photodiode with high responsivity at reverse bias or zero bias has been achieved by using interfacial charge transfer of R6G molecules assembled between heterojunction *** formed vdWs interface achieves high performance photoresponse by efficiently separating the additional photogenerated electrons and holes generated by R6G *** devices sensitized by the dye molecule R6G exhibit enhanced photodetection performance without sacrificing the photoresponse *** them,the R increased by 14.8-20.4 times,and the specific detectivity(D^(*))increased by 24.9-34.4 *** strategy based on interlayer assembly of dye molecules proposed here may pave a new way for realizing high-performance photodetection based on 2D vdWs heterojunctions with high responsivity and fast response speed.

关键词： heterojunction photodetector interlayer sensitization charge transfer responsivity

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Nd3+-doped phosphate fiber lasers with high peak power under direct pumping 4

Nd3+-doped phosphate fiber lasers with high peak power under...

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4th International Conference on Laser, Optics, and Optoelectronic technology, LOPET 2024

作者： Yu, Nengwei Bai, Shengchuang Wang, Xunsi Dai, Shixun Nie, And Qiuhua Laboratory of Infrared Material and Devices Advanced Technology Research Institute College of Information Science and Engineering Ningbo University Ningbo315211 China Zhejiang Key Laboratory of Photoelectric Materials and Devices Ningbo315211 China Engineering Research Center for Advanced Infrared Photoelectric Materials and Devices of Zhejiang Province Ningbo315211 China

ISBN: (纸本)9781510681903

In this paper, a directly pumped passively Q-switched Nd3+-doped phosphate fiber laser using Cr4+:YAG as a saturable absorber is reported. The Nd3+-doped phosphate fiber preform with minimal internal defects were prepared by the double-peeled isolation extrusion method and drawn into optical fibers. The core-clad size of the fiber was 234/356 μm, with a transmission loss of 1.1 dB/m at 1053 nm. Subsequently, a passively Q-switched fiber laser was constructed based on the homemade Nd3+-doped phosphate fiber, and the effects of parameters such as the reflectivity of the output coupler mirror, the transmittance of the saturable absorber, the length of the fiber, and the pumping power on the characteristics of the output laser pulse were investigated. After optimizing the key parameters, the laser achieved a peak pulse energy of 388 μJ and a maximum peak power of 21.8 kW. The results provide fundamental theoretical and experimental guidance for the development of passively Q-switched fiber lasers with high peak power, demonstrating significant practical value and theoretical significance. © 2024 SPIE.

关键词： Fiber lasers

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DFT calculation on p-xylene sensing mechanism of (C_(4)H_(9)NH_(3))_(2)PbI_(4) single crystal based on physisorption

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Rare Metals 2021年第6期40卷 1571-1577页

作者： Meng-Ya Zhu Ping He Xue-Li Yang Guang-Ze Hui Cheng-Chun Tang Guo-Feng Pan Li-Jian Bie School of Electronics and Information Engineering Tianjin Key Laboratory of Electronic Materials and DevicesHebei University of TechnologyTianjin 300401China School of Materials Science and Engineering Tianjin Key Laboratory for Photoelectric Materials and DevicesTianjin University of TechnologyTianjin 300384China School of Artificial Intelligence Hebei University of TechnologyTianjin 300401China School of Materials Science and Engineering Hebei University of TechnologyTianjin 300130China

P-xylene(p-C_(8)H_(10))is extremely harmful and dangerous to human health due to high toxicity and strong *** sensitive material to effectively detect p-xylene is of *** this paper,perovskite single crystal(C_(4)H_(9)NH_(3))_(2)PbI_(4) has been successfully synthesized via solution *** obtained product was analyzed by single crystal X-ray *** the space group Pbca,orthorhombic(C_(4)H_(9)NH_(3))_(2)PbI_(4) layered perovskite structure consists of an extended two-dimensional network of corner-sharing PbI_(6) *** layer perovskite sheets of distorted PbI_(6) octahedron alternated with protonated n-butylammonium cation bilayers,which offers many advantages and provides the possibility of forming a gas sensor device based on the change of *** functional theory(DFT)simulations regarding the adsorption energy revealed that this organicinorganic hybrid perovskite compound has excellent selectivity toward p-xylene compared with other gases including C_(2)H_(5)OH,C_(6)H_(6),CH_(2)Cl_(2),HCHO,CH_(3)COCH_(3) and C_(7)H_(8).The calculation of electron density,density of states and electron density difference showed the sensing mechanism of p-C_(8)H_(10) is mainly derived from physical adsorption-desorption in view of electron transfer.

关键词： Perovskite single crystal(C_(4)H_(9)NH_(3))_(2)PbI_(4) p-xylene gas sensor Density functional theory(DFT)calculation Physical adsorption-desorption mechanism

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Optimal control based coordinated taxiing path planning and tracking for multiple carrier aircraft on flight deck

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Defence technology（防务技术） 2022年第2期18卷 238-248页

作者： Xin-wei Wang Hai-jun Peng Jie Liu Xian-zhou Dong Xu-dong Zhao Chen Lu Department of Engineering Mechanics State Key Laboratory of Structural Analysis for Industrial EquipmentDalian University of TechnologyDalianLiaoning116024China Faculty of Electronic Information and Electrical Engineering Dalian University of TechnologyDalianLiaoning116024China War Research Institute Academy of Military SciencesBeijing100850China School of Reliability and Systems Engineering Beihang UniversityXueyuan RoadHaidian DistrictBeijing100191China

Coordinated taxiing planning for multiple aircraft on flight deck is of vital importance which can dramatically improve the dispatching *** this paper,first,the coordinated taxiing path planning problem is transformed into a centralized optimal control problem where collision-free conditions and mechanical limits are *** the formulated optimal control problem is of large state space and highly nonlinear,an efficient hierarchical initialization technique based on the Dubins-curve method is ***,a model predictive controller is designed to track the obtained reference trajectory in the presence of initial state error and external *** experiments demonstrate that the proposed“offline planningþonline tracking”framework can achieve efficient and robust coordinated taxiing planning and tracking even in the presence of initial state error and continuous external disturbances.

关键词： Carrier aircraft Coordinated path planning Centralized optimal control Trajectory tracking Model predictive control

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A Motion Intent Recognition Method Based on Dynamic Feature Fusion and Multi-Stream TCN 6

A Motion Intent Recognition Method Based on Dynamic Feature ...

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6th International Conference on Industrial Artificial Intelligence, IAI 2024

作者： Chen, Jianfeng Li, Xing Wang, Fujie Zhu, Yuxuan School of Electrical Engineering & Intelligentization Dongguan University of Technology Guangdong Dongguan523808 China The State Key Laboratory of Synthetical Automation for Process Industries Northeastern University Liaoning Shenyang110819 China School of Information Science and Engineering Northeastern University Liaoning Shenyang110819 China

ISBN: (纸本)9798350356618

Clinical motor relearning theory emphasizes the active participation of patients, so the recognition of patient's motor imagery plays a key role in robot-assisted rehabilitation exercise training. We constructed an upper limb rehabilitation sEMG (Surface Electromyography) dataset by capturing 18 upper limb rehabilitation movements using a wireless sEMG acquisition system and proposed a deep learning model based on dynamic feature fusion with a multi-stream Temporal Convolutional Network (MS-TCN), which identified the patient's motor intention from the captured sEMG by end-to-end learning. On the one hand, the method can extract the temporal features of single-channel signals through the multi-stream TCN structure, and on the other hand, dynamic feature fusion can effectively utilize the primary-secondary relationship of multiple muscles in completing different motions, achieving high recognition accuracy and low response time. Through simulation analysis and experimental testing, the results show that this method can achieve higher classification accuracy than mainstream motor intention recognition algorithms on different subjects, and the effective use of this method will promote the recovery of patient's limb function and significantly improve the efficiency of rehabilitation training. © 2024 IEEE.

关键词： Deep learning

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A Comparison of Large-Scale MOEAs with Informed Initialization for Voltage Transformer Ratio Error Estimation 1

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17th International Conference on Bio-Inspired Computing: Theories and Applications, BIC-TA 2022

作者： Li, Lianghao He, Cheng Li, Hongbin Key Laboratory of Image Information Processing and Intelligent Control of Education Ministry of China School of Artificial Intelligence and Automation Huazhong University of Science and Technology Wuhan430074 China School of Electrical and Electronic Engineering Huazhong University of Science and Technology Wuhan430074 China

ISBN: (数字)9789819915491

ISBN: (纸本)9789819915484

Large-scale multiobjective optimization problems (LSMOPs) exist widely in real-world applications. The large number of decision variables in LSMOP leads to a tremendous high-dimensional search space, which is still challenging for existing multiobjective evolutionary algorithms (MOEAs). The voltage transformer ratio error estimation (TREE) problem is a typical LSMOP in real-world applications. A number of large-scale multiobjective evolutionary algorithms (LSMOEAs) have been adopted for solving the TREE problem, but so far there is still considerable potential for improvement in their results. In this paper, we propose a informed initialization for solving the TREE problem. The physical properties of the TREE problem are used to construct an initial set of solutions with specific characteristics. The proposed initialization method is tested against the default initialization method on five TREE problems by being applied on six state-of-the-art LSMOEAs and a classical MOEA. The experimental results demonstrate that the initialization method has a significant effect on the performance of LSMOEAs in solving the TREE problems. © 2023, The Author(s), under exclusive license to Springer Nature Singapore Pte Ltd.

关键词： Multiobjective optimization

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Outage Probability Analysis of Uplink Heterogeneous Non-terrestrial Networks: A Novel Stochastic Geometry Model

Outage Probability Analysis of Uplink Heterogeneous Non-terr...

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2024 IEEE Global Communications Conference, GLOBECOM 2024

作者： Dong, Wen-Yu Yang, Shaoshi Lin, Wei Zhao, Wei Gui, Jia-Xing Chen, Sheng Beijing University of Posts and Telecommunications School of Information and Communication Engineering China Ministry of Education Key Laboratory of Universal Wireless Communications China State Key Laboratory of Networking and Switching Technology Beijing100876 China University of Southampton School of Electronics and Computer Science SouthamptonSO17 1BJ United Kingdom

ISBN: (纸本)9798350351255

In harsh environments such as mountainous terrain, dense vegetation areas, or urban landscapes, a single type of unmanned aerial vehicles (UAVs) may encounter challenges like flight restrictions, difficulty in task execution, or increased risk. Therefore, employing multiple types of UAVs, along with satellite assistance, to collaborate becomes essential in such scenarios. In this context, we present a stochastic geometry based approach for modeling the heterogeneous non-terrestrial networks (NTNs) by using the classical nbinomial point process and introducing a novel point process, called Matérn hard-core cluster process (MHCCP). Our MHCCP possesses both the exclusivity and the clustering properties, thus it can better model the aircraft group composed of multiple clusters. Then, we derive closed-form expressions of the outage probability (OP) for the uplink (aerial-to-satellite) of heterogeneous NTNs. Unlike existing studies, our analysis relies on a more advanced system configuration, where the integration of beamforming and frequency division multiple access, and the shadowed-Rician (SR) fading model for interference power, are considered. The accuracy of our theoretical derivation is confirmed by Monte Carlo simulations. Our research offers fundamental insights into the system-level performance optimization of NTNs. © 2024 IEEE.

关键词： Stochastic systems

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Sleep Monitoring with Wearable Sensor Data in an eCoach Recommendation System: A Conceptual Study with Machine Learning Approach 7th

Sleep Monitoring with Wearable Sensor Data in an eCoach Reco...

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7th International Conference on Emerging Applications of information technology, EAIT 2022

作者： Chatterjee, Ayan Prinz, Andreas Pahari, Nibedita Das, Jishnu Riegler, Michael Alexander Department of Information Technology Center for eHealth University of Agder Kristiansand Norway Department of Software Engineering Knowit AS Oslo Norway Department of Library and Information Science University of Calcutta Calcutta India Department of Holistic Systems Simula Research Laboratory Oslo Norway

ISBN: (纸本)9789811951909

The collective effects of sleep loss and sleep disorders are correlated with many adverse health consequences, including increased risk of high blood pressure, obesity, diabetes, depressive state, and cardiovascular symptoms. Research in eHealth can provide methods to enrich personal health care with information and communication technologies (ICTs). An eCoach system may allow people to manage a healthy lifestyle with extended health state monitoring (e.g., sleep) and tailored recommendation generation. Using supervised machine learning (ML) techniques, this study investigated the possibility of classifying sleep stages at night for adults on hourly and daily basis. The daily total sleep minutes and hourly total sleep minutes for defined sleeping period served as input for the classification models. We first used publicly available Fitbit dataset to build the initial classification models. Second, using the transfer learning approach, we re-used the top five best-performing models on a real dataset as collected from the MOX2-5 wearable medical-grade activity device. We found that support vector classifier (SVC) with "linear" kernel outdated other classifiers with a mean accuracy score of 99.92% for hourly sleep classification and a K-nearest neighbor (KNN) outpaced other classifiers with a mean accuracy score of 99.47% for daily sleep classification, for the public Fitbit datasets. Moreover, to determine the practical efficacy of the classifier models, we conceptualized to use the classifier models in an eCoach prototype system to attain tailored sleep goals (e.g., a weekly goal of 49–63 h of sleeping). © 2023, The Author(s), under exclusive license to Springer Nature Singapore Pte Ltd.

关键词： Classification (of information)

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Stochastic Geometry Based Performance Analysis of Terrestrial-to-Aerial Networks for Nomadic Communications

Stochastic Geometry Based Performance Analysis of Terrestria...

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2024 IEEE Global Communications Conference, GLOBECOM 2024

作者： Dong, Wen-Yu Yang, Shaoshi Lin, Wei Zhao, Wei Gui, Jia-Xing Zhang, Ping Chen, Sheng The School of Information and Communication Engineering Beijing University of Posts and Telecommunications China The Key Laboratory of Universal Wireless Communications Ministry of Education China The State Key Laboratory of Networking and Switching Technology Beijing100876 China University of Southampton School of Electronics and Computer Science SouthamptonSO17 1BJ United Kingdom

ISBN: (纸本)9798350351255

In this paper, we propose a stochastic geometry based innovative model to characterize the impact of the limited-size distribution region of terrestrial terminals in terrestrial-to-aerial networks by jointly using a binomial point process (BPP) and a type-II Matérn hard-core point process (MHCPP). Then, we analyze the relationship between the spatial distribution of the coverage areas of aerial nodes and the limited-size distribution region of terrestrial terminals, thereby deriving the distance distribution of the terrestrial-aerial (T-A) links. Furthermore, we consider the stochastic nature of the spatial distributions of terrestrial terminals and unmanned aerial vehicles (UAVs), and conduct a thorough analysis of the coverage probability of the T-A links under Nakagami fading. Finally, the accuracy of our theoretical derivations are confirmed by Monte Carlo simulations. Our research offers fundamental insights into the system-level performance optimization for the realistic terrestrial-to-aerial networks involving nomadic aerial base-stations and terrestrial terminals confined in a limited-size region. © 2024 IEEE.

关键词： Stochastic systems

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