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Improving luminescence and thermometric performance of Ba_(2)CaWO_(6):Er^(3+) by tri-doping with Yb^(3+) and Na^(+)

Journal of Rare Earths 2023年第1期41卷 42-50页

作者： Lingyun Li Ziwei Zhou Fazheng Huang Senlin Peng Yantang Huang Guoqiang Wang Xinxu Li Fei-Fei Chen Chengkai Yang Xin-Xiong Li Yan Yu Key Laboratory of Advanced Materials Technology College of Materials Science and EngineeringFuzhou UniversityFuzhou 350108China College of Chemistry Fuzhou UniversityFuzhou 350108China College of Physics and Information Engineering Fuzhou UniversityFuzhou 350108China

The Er3+doped double perovskite Ba_(2)CaWO_(6) crystal is a promising ratiometric thermometer based on the fluorescence intensity ratio(FIR) of transitions from ^(2)H_(11/2) and ^(4)S_(3/2) to the lowered ^(4)I_(15/2) ***,the Ca^(2+) vacancy defect caused by the charge difference between rare-earth ions and the substituted alkaline-earth ions gives rise to the non-radiative probability and limits the thermal ***,the up-conversion luminescence and thermometric performance of Er^(3+),Yb^(3+) dopedBa_(2)CaWO_(6) are tuned by tri-doping with alkaline *** Ca^(2+) vacancy defect can be eliminated by the introduction of Na^(+),which occupies the Ca^(2+) site when it is doped into Ba_(2)CaWO_(6) with Er^(3+) and Yb^(3+).On the contrary,the doping of Cs^(+) into Ba_(2)CaWO_(6) with Er^(3+) and Yb^(3+) enhances the defect concentration because it occupies the site of Ba^(2+).Thus,the tri-doping of Na^(+) reduces the non-radiative probability and enhances the quantum efficiency of Er^(3+),leading to the improvement of the thermometric sensitivity of Ba_(2)CaWO_(6).As a result,we get an excellent thermometric Ba_(2)CaWO_(6):8%Yb^(3+),3.5%Er^(3+),6%Na^(+) powder with a luminescence lifetime of 515 μs and maximum thermal sensitivity(S_(r)) of 1.45%/K,which is more than three times higher than that of the BCWO:Er^(3+) powder.

关键词： Up-conversion luminescence Optical thermometry Ba_(2)CaWO_(6) Er^(3+) Double perovskite Rare earths

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Performance-Optimize Adaptive Robust Tracking Control for USV-UAV Heterogeneous systems With Uncertainty

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IEEE Transactions on Vehicular technology 2025年第5期74卷 7251-7262页

作者： Chen, Guangjun Wang, Wencheng Dong, Jiuxiang Northeastern University College of Information Science and Engineering Liaoning Province Key Laboratory of Safe Operation Technique for Autonomous Unmanned Systems Shenyang110819 China Northeastern University State Key Laboratory of Synthetical Automation for Process Industries Shenyang110819 China Weifang University College of Machinery and Automation Weifang261061 China

This paper investigates the performance-optimized tracking control problem of the heterogeneous system consisting of the unmanned surface vehicle (USV) and the unmanned aerial vehicle (UAV) under uncertain dynamics. Based on the target tracking strategy, a performance optimization control framework for cooperative tracking in sea-air 3D space is established. To avoid the singularity of the UAV in the position loop inverse solution of the desired attitude, the saturation control strategy is designed to solve the UAV guidance problem, and the UAV position loop obtains bounded thrust. For the kinematic layer of the USV-UAV system, based on the prescribed performance control and optimal control methods, a prescribed performance-optimized control strategy is designed to optimize the virtual control input while ensuring the prescribed control performance. In addition, to reduce the impact of uncertainty on the USV-UAV control system, a prescribed performance compensation control scheme is proposed in the kinetic loop, which improves the USV-UAV control system robustness. The established sea-air 3D cooperative target tracking control framework can also be extended to complex formation control. Finally, experimental simulations verify the effectiveness of the designed control scheme. © 1967-2012 IEEE.

关键词： Unmanned aerial vehicles (UAV)

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Acute Observational Stimulus of Restrained Mice Induced Anxiolytic Effects in Observer Mice

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Neuroscience Bulletin 2024年第10期40卷 1545-1550页

作者： Chun-Hui Jia Fang-Qi Shu Pak-Ming Lau Hao Wang CAS Key Laboratory of Brain Function and Disease Division of Life Sciences and MedicineUniversity of Science and Technology of ChinaHefei 230026China Anhui Province Key Laboratory of Biomedical Imaging and Intelligent Processing Institute of Artificial IntelligenceHefei Comprehensive National Science CenterHefei 230088China Interdisciplinary Center for Brain Information The Brain Cognition and Brain Disease InstituteShenzhen Institute of Advanced TechnologyChinese Academy of SciencesShenzhen 518055China National Engineering Laboratory for Brain-inspired Intelligence Technology and Application School of Information Science and TechnologyUniversity of Science and Technology of ChinaHefei 230026China

Dear Editor,Ensuring an appropriate response to external stimuli is essential for animals'survival and *** indicates that such stimuli can affect animals'physiological state and hormone levels,including corticosterone(CORT)[1,2].The impact of these stimuli on animals'performance depends on their density and duration,as they can either facilitate or hinder *** chronic and intense stressors can have detrimental effects on animals'physiological health and behavioral performance,leading to psychiatric disorders such as depression,anxiety,and schizophrenia[3],the effects of acute and mild observational stimuli are still unclear.

关键词： evolution. Observation acute

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Snowball Effect in Federated Learning: An Approach of Exponentially Expanding Structures for Optimizing the Training Efficiency

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IEEE Transactions on Cognitive Communications and Networking 2024年第3期11卷 1803-1817页

作者： Cheng, Guoliang Li, Peichun Tan, Beihai Yu, Rong Wu, Yuan Pan, Miao Guangdong University of Technology School of Automation Guangzhou China Guangdong Key Laboratory of IoT Information Technology Guangzhou China University of Macau State Key Laboratory of Internet of Things for Smart City China University of Macau Department of Computer and Information Science China Guangdong University of Technology School of Integrated Circuits Guangzhou China University of Houston Department of Electrical and Computer Engineering Houston United States

Efficient federated learning (FL) in mobile edge networks faces challenges due to energy-consuming on-device training and wireless transmission. Optimizing the neural network structures is an effective approach to achieving energy savings. In this paper, we present a Snowball FL training with expanding neural network structure, which starts with a small-sized submodel and gradually progresses to a full-sized model. To achieve this, we first design the submodel and embedding extraction schemes for fine-grained model structure expansion. We then investigate the joint minimization problem of the global training loss and system-wise energy consumption. After that, we decompose the optimization problem into a long-term model structure expansion subproblem and a single-round local resource allocation subproblem. Specifically, the former subproblem is transformed into a variational calculus problem by leveraging theoretical analysis of the convergence bound. The Euler-Lagrange method is used to derive the solution, where the optimal evolution strategy for the model structure exponentially increases with the global round (i.e., the Snowball effect). Meanwhile, the latter subproblem is solved by convex optimization to acquire the optimal computing frequency and transmission power. Experiments indicate that the proposed framework can save about 50% of energy consumption to achieve on-par accuracy against state-of-the-art algorithms. © 2015 IEEE.

关键词： Resource allocation

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An Interference Cancellation technology of Almost Blank Subframe based on Hierarchical Parameter Estimation 24

An Interference Cancellation Technology of Almost Blank Subf...

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7th International Conference on Signal Processing and Machine Learning, SPML 2024

作者： Chen, Xiangzhu Ning, Zeqiang Chen, Ronghai Liu, Yan Xiong, Yuyang Ma, Wanzhi School of Information and Communication Engineering University of Electronic Science and Technology of China China National Key Laboratory of Wireless Communications University of Electronic Science and Technology of China China

ISBN: (纸本)9798400717192

Ultra-dense networking is one of the key technologies used in 5G communications. The method of almost blank subframes (ABS) based on interference cancellation can solve the problem of inter-cell interference while ensuring the efficiency of the base station. However, the conventional scheme is difficult to meet the demand for cancellation in the complex channel environment. Under such circumstances, in order to ensure the transmission quality of communication base station, jamming base stations have to set up a large number of ABS, which will greatly diminish their communication efficiency. Therefore, a new ABS scheme based on hierarchical parameter estimation is proposed in this paper. In this scheme, a hierarchical channel parameters estimation method is designed by only using three ABS, and then the obtained parameters are used to reconstruct the interference signal for interference cancellation at the terminal. According to the simulation results, the suggested method may improve conventional interference cancellation schemes by approximately 7dB in a complex channel environment. This ensuring the availability of interference cancellation ABS scheme in challenging conditions. © 2024 ACM.

关键词： Base stations

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A Review of Ground Segmentation Methods for Vehicle-Mounted LiDAR Point Clouds 4

A Review of Ground Segmentation Methods for Vehicle-Mounted ...

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4th IEEE International Conference on Pattern Recognition and Machine Learning, PRML 2023

作者： Mijit, Tayir Ahat, Arzigul Hamdulla, Askar School of Information Science and Engineering Xinjiang University of China Xinjiang Key Laboratory of Multilingual Information Technology 830017 China

ISBN: (纸本)9798350324303

With the rapid development of the autonomous driving industry, the robustness requirements for autonomous vehicle perception systems are increasing, and in-vehicle LiDAR has gradually become an essential sensing device. This article first introduces the types of vehicle-mounted laser mines and discusses their advantages and disadvantages;Then, a comprehensive summary and classification of existing ground segmentation methods based on LiDAR point clouds were conducted. Finally, the advantages and disadvantages of these methods in various road environments were compared and analyzed comprehensively, and the future development direction of such research was prospected. © 2023 IEEE.

关键词： Autonomous vehicles

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A controllable IPv6 address generation based on conditional variational autoencoder 23

A controllable IPv6 address generation based on conditional ...

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2nd International Conference on Networks, Communications and information technology, CNCIT 2023

作者： Wang, Jia Lu, Ziyuan Xinjiang Key Laboratory of Multilingual Information Technology School of Information Science and Engineering Xinjiang University Xinjiang Urumqi China

ISBN: (纸本)9798400700620

Address generation is one of the important methods to improve the efficiency of network assert detection, cyberspace mapping and so on. Most existing address generations consider all IPv6 addresses in IPv6 address space, which wastes resource and cannot meet requirements in practice. In this paper, a new address generation based on conditional variational autoencoder is proposed. Specifically, BiLSTM is embedded in conditional variational autoencoder to extract sequential information among addresses. With the given address region, seed addresses are encoded by the improved conditional variational autoencoder, which can generate addresses in a given region and make network assert detection do in a specific region in practice. Experimental results show that the generation ratio and the concentration of the proposed model improve 5% to 15% and 60% to 80% respectively. © 2023 ACM.

关键词： Learning systems

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A super resolution target separation and reconstruction approach for single channel sar against deceptive jamming

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Defence technology（防务技术） 2023年第3期21卷 164-175页

作者： Shi-qi Liu Bing Li Bo Zhao Lei Huang Yue-zhou Wu Wei-min Bao Guangdong Key Laboratory of Intelligent Information Processing College of Electronic and Information EngineeringShenzhen UniversityShenzhen518060China School of Electrical Engineering Southwest Jiaotong UniversityChengdu611756China State Key Laboratory of Millimeter Waves Southeast UniversityNanjing210096China School of Computer Science Civil Aviation Flight University of ChinaGuanghan618307China China Aerospace Science and Technology Corporation Beijing100048China

The excellent remote sensing ability of synthetic aperture radar(SAR)will be misled seriously when it encounters deceptive jamming which possesses high fidelity and *** this paper,the dynamic synthetic aperture(DSA)scheme is used to extract the difference between the true and false targets.A simultaneous deceptive jamming suppression and target reconstruction method is proposed for a single channel SAR system to guarantee remote sensing *** system model is formulated as a sparse signal recovery problem with an unknown parametric dictionary to be *** iterative reweighted method is employed to jointly handle the dictionary parameter learning and target reconstruction problem in an majorization-minimization framework,where a surrogate function majorizing the Gaussian entropy in the objective function is introduced to circumvent its *** dictionary parameter learning,the grid mismatching problem in a fixed grid based method is ***,the proposed method can reap a super resolution ***,a simple yet effective DSA section scheme is developed for the SAR data excerpting,in which only two DSAs are *** results about location error and reconstruction power error reveal that the proposed method is able to achieve a good performance in deceptive jamming suppression.

关键词： channel resolution separation

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Boosting CsSnI3-based near-infrared perovskite lightemitting diodes performance via solvent coordination engineering

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InfoMat 2024年第5期6卷 58-68页

作者： Yuqing Li Xiang Guan Yuanyuan Meng Jingfu Chen Junpeng Lin Xi Chen Chia-Yun Liu Yaping Zhao Qin Zhang Chengbo Tian Jianxun Lu Zhanhua Wei Xiamen Key Laboratory of Optoelectronic Materials and Advanced Manufacturing Institute of Luminescent Materials and Information Displays College of Materials Science and EngineeringHuaqiao UniversityXiamenthe People's Republic of China Division of Physical Science and Engineering KAUST Catalysis Center(KCC)King Abdullah University of Science and TechnologyThuwalKingdom of Saudi Arabia

Due to their unique photoelectric properties,nontoxic tin-based perovskites are emerging candidates for efficient near-infrared ***,the facile oxidation of Sn2+and the rapid crystallization rate of tin-based perovskites result in suboptimal film quality,leading to inferior efficiencies of tin-based perovskite light-emitting diodes(Pero-LEDs).In this study,we investigate the influence of commonly used solvents on the quality of the CsSnI3 ***,DMSO exhibits a stronger interaction with SnI2,forming a stable intermediate phase of SnI2·*** intermediate effectively inhibits the oxidation of Sn2+and slows down the crystallization rate,bringing in lower defect state density and higher photoluminescence quantum yield of the pre-pared perovskite ***,the corresponding Pero-LEDs achieve a maximum external quantum efficiency(EQE)of 5.6%,among the most effi-cient near-infrared *** addition,the device processes ultra-low effi-ciency roll-off and high *** research underscores the crucial role of solvent-perovskite coordination in determining film *** find-ings offer valuable guidance for screening solvents to prepare highly efficient and stable tin-based perovskites.

关键词： intermolecular interaction light-emitting diodes solvent engineering tin-based perovskites

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Federated Deep Q-network: A Dynamic Task Allocation Strategy for UAV-Assisted Cell-Free Networks 4th

Federated Deep Q-network: A Dynamic Task Allocation Strategy...

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4th International Conference on Frontiers of Electronics, information and Computation Technologies, ICFEICT 2024

作者： He, Jian Pan, Chunyu Wang, Jincheng Lu, Cunbo Chen, Shuo The Key Laboratory of Information and Communication Systems Ministry of Information Industry and the Key Laboratory of Modern Measurement and Control Technology Ministry of Education Beijing Information Science and Technology University Beijing100101 China Information Science Academy of China Electronics Technology Group Corporation Beijing China

ISBN: (纸本)9789819653133

A dynamic resource allocation problem for jointly optimizing access point selection and task offloading is proposed for a mobile edge computing system in an unmanned aerial vehicle (UAV)-assisted cell-free (CF) networks for the purpose of delay reduction in an urban scenario. On the one hand, given that various resources are coupled in the optimization problem, exhibiting non-convex traits and thus cannot be directly separated. On the other hand, to expedite algorithm convergence while ensuring user data security, we propose a method that combines the federated learning (FL) framework with deep reinforcement learning (DRL). Specifically, we introduce a federated deep Q network (F-DQN) algorithm to execute the dynamic resource allocation strategy for the proposed problem. Simulation results show that the proposed algorithm has better convergence performance than traditional Q-learning and deep Q network (DQN), and the proposed strategy has lower system delay with a maximum gain of 60.5% compared to other baseline strategies. © The Author(s), under exclusive license to Springer Nature Singapore Pte Ltd. 2025.

关键词： Deep reinforcement learning

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