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Ferroelectric polarization effect on the photocatalytic activity of Bi_(0.9)Ca_(0.1)FeO_(3)/CdS S-scheme nanocomposites

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Journal of Environmental sciences 2023年第2期124卷 310-318页

作者： Yaowen Zhang ZifeiWang Jiangwei Zhu Xuemin He Hongtao Xue Sanlong Li Weiwei Mao Yong Pu Xing’ao Li New Energy Technology Engineering Laboratory of Jiangsu Province&School of Science Nanjing University of Posts and TelecommunicationsNanjing 210023China Co-Innovation Center for Sustainable Forestry in Southern China Nanjing Forestry UniversityNanjing 210037China School of Telecommunications and Information Engineering Nanjing University of Posts and TelecommunicationsNanjing 210023China National Laboratory of Solid State Microstructures Nanjing UniversityNanjing 210093China

BiFeO_(3)(BFO),as a kind of narrow band-gap semiconductor material,has gradually emerged advantages in the application of *** this paper,Ca doped BFO nanoparticles Bi_(0.9)Ca_(0.1)FeO_(3)(BCFO)were prepared by sol-gel *** BCFO and CdS nanocomposites with two morphologies were obtained by controlling the time of loading CdS under a low temperature liquid phase *** is found that the band gap becomes narrower after doping Ca into BFO,which is conducive to the absorption of visible *** all the samples,the composite of CdS nanowires and BCFO nanoparticles obtained by reaction time of 10 min has the best photocatalytic *** degradation rate of Methyl Orange solutionwas 94%after 90min under visible light irradiation,whichwasmuch higher than that of pure BCFO and ***,significant enhancement in the degradation rate(100%degradation in 60 min)can be achieved in poled samples after electric polarization *** highest degradation rate is due to the promoted separation of photogenerated carriers induced by the internal polarization field and the formation of S-scheme heterostructure between BCFO and *** BCFO-CdS nanocomposites may bring new insights into designing highly efficient photocatalyst.

关键词： BiFeO_(3) Nanocomposites S-scheme heterojunction Photocatalytic activity

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Representation of conspecific vocalizations in amygdala of awake marmosets

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National science Review 2023年第11期10卷 8-19页

作者： Guoqiang Jia Siyi Bai Yingxu Lin Xiaohui Wang Lin Zhu Chenfei Lyu Guanglong Sun Kang An Anna Wang Roe Xinjian Li Lixia Gao Department of Neurology of the Second Affiliated Hospital and Interdisciplinary Institute of Neuroscience and Technology Zhejiang University School of Medicine Key Laboratory of Biomedical Engineering of Ministry of Education College of Biomedical Engineering and Instrument ScienceZhejiang University College of Information Mechanical and Electrical EngineeringShanghai Normal University MOE Frontier Science Center for Brain Science and Brain-Machine Integration School of Brain Science and Brain Medicine Zhejiang University Key Laboratory of Medical Neurobiology of Zhejiang Province Zhejiang University School of Medicine

Human speech and animal vocalizations are important for social communication and animal *** in the auditory pathway are responsive to a range of sounds, from elementary sound features to complex acoustic sounds. For social communication, responses to distinct patterns of vocalization are usually highly specific to an individual conspecific call, in some species. This includes the specificity of sound patterns and embedded biological information. We conducted single-unit recordings in the amygdala of awake marmosets and presented calls used in marmoset communication, calls of other species and calls from specific marmoset individuals. We found that some neurons(47/262) in the amygdala distinguished 'Phee' calls from vocalizations of other animals and other types of marmoset vocalizations. Interestingly, a subset of Phee-responsive neurons(22/47) also exhibited selectivity to one out of the three Phees from two different 'caller' marmosets. Our findings suggest that, while it has traditionally been considered the key structure in the limbic system, the amygdala also represents a critical stage of socially relevant auditory perceptual processing.

关键词： vocalization non-human primate marmoset amygdala

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Precipitation Retrieval of FY-3D MWHTS and MWRI Data Based on Light Gradient Boosting Model

Precipitation Retrieval of FY-3D MWHTS and MWRI Data Based o...

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Progress in Electromagnetic Research Symposium (PIERS)

作者： Yanfang Lv Lanjie Zhang Yifan Zhang Biao Zhang Key Laboratory of Information and Communication Systems Ministry of Information Industry Beijing Information Science and Technology University Beijing China Key Laboratory of Modern Measurement and Control Technology Ministry of Education Beijing Information Science and Technology University Beijing China

ISBN: (数字)9798350375909

ISBN: (纸本)9798350375916

As an essential component of the earth system, precipitation plays a crucial role in the regional and global water cycle. This paper uses observations from the Fengyun-3D microwave humidity and temperature sounder and microwave radiation imager, as well as Integrated Multi-satellite Retrievals for GPM (IMERG), to establish a precipitation retrieval model based on the light gradient boosting model (LGBM). Using IMERG as the comparison data, the performance of precipitation identification with the LGBM-based precipitation retrieval model is as follows: accuracy is 0.9302, probability of detection is 0.7683, false alarm rate is 0.3529, and critical success index is 0.5414. The performance of precipitation estimation is also evaluated, with a correlation coefficient of 0.7536, a mean absolute error of 0.9119, and a mean squared error of 3.9506. In summary, this study achieves good performance in precipitation identification and estimation by the LGBM model.

关键词： Earth Correlation coefficient Precipitation Estimation Humidity Boosting Data models

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Dual-mimic learning for occluded pedestrian detection 1

Dual-mimic learning for occluded pedestrian detection

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1st International Conference on Mechanics, Electronics, Automation and Automatic Control, MEAAC 2023

作者： Pan, Xiaofeng Han, Shoudong Ding, Huilin Wang, Yukun National Key Laboratory of Science and Technology on Multispectral Information Processing School of Artificial Intelligence and Automation Huazhong University of Science and Technology Wuhan430074 China School of Engineering and Applied Science Columbia University NY10027 United States

It is still a great challenge to detect pedestrians in crowded scenes. Recent works mainly focus on enhancing the feature representation of the visible region. Although this strategy is effective, it fails to fully exploit the appearance information contained in the full-body region. To this end, we propose a Dual-Mimic learning model, which consists of the occluded to unoccluded (Occ-Unocc) and the full-body to visible (Full-Vis) mimic learning branches. Both branches can reduce the intra-class feature variances of pedestrians by different mimicking strategies. Besides, we define an occlusion attribute to describe the occlusion pattern of each detection. Based on the occlusion attribute, we propose the Occlusion-aware NMS (Occ-NMS), which can effectively remain the occluded instance with low confidence. We conduct extensive experiments on standard benchmarks of CityPersons and Caltech, and our method achieves a new state-of-the-art performance at 36.34% MR-2 and 25.07% MR-2 on heavy occlusion sets. © Published under licence by IOP Publishing Ltd.

关键词： Benchmarking

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Adaptive energy-preserving algorithms for guiding center system

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Plasma science and technology 2023年第4期25卷 11-22页

作者：朱贝贝刘健张嘉炜祝爱卿唐贻发 Department of Applied Mathematics School of Mathematics and PhysicsUniversity of Science and Technology BeijingBeijing 100083Peopleʼs Republic of China School of Nuclear Science and Technology University of Science and Technology of ChinaHefei 230026Peopleʼs Republic of China Advanced algorithm Joint Lab Shandong Computer Science CenterQilu University of TechnologyJinan 250014Peopleʼs Republic of China The State Key Laboratory of Scientific and Engineering Computing The Institute of Computational Mathematics and Scientific/Engineering ComputingAcademy of Mathematics and Systems ScienceChinese Academy of SciencesBeijing 100190Peopleʼs Republic of China School of Mathematical Sciences University of Chinese Academy of SciencesBeijing 100049Peopleʼs Republic of China

We develop two types of adaptive energy preserving algorithms based on the averaged vector field for the guiding center dynamics,which plays a key role in magnetized *** adaptive scheme is applied to the Gauss Legendre’s quadrature rules and time stepsize respectively to overcome the energy drift problem in traditional energy-preserving *** new adaptive algorithms are second order,and their algebraic order is carefully *** results show that the global energy errors are bounded to the machine precision over long time using these adaptive algorithms without massive extra computation cost.

关键词： guiding center system energy-preserving methods adaptive energy conservation

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List-Serial Pipelined Hardware Architecture for SCL Decoding of Polar Codes

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China Communications 2023年第3期20卷 175-184页

作者： Zhongxiu Feng Cong Niu Zhengyu Zhang Jiaxi Zhou Daiming Qu Tao Jiang Research Center of 6G Mobile Communications School of Cyber Science and Engineeringand Wuhan National Laboratory for OptoelectronicsHuazhong University of Science and TechnologyWuhan 430074China Institute of Space Integrated Ground Network Hefei 230094China The 38th Research Institute of China Electronics Technology Group Corporation Hefei 230088China School of Electronics Information and Communications Huazhong University of Science and TechnologyWuhan 430074China

For polar codes,the performance of successive cancellation list(SCL)decoding is capable of approaching that of maximum likelihood ***,the existing hardware architectures for the SCL decoding suffer from high hardware complexity due to calculating L decoding paths simultaneously,which are unfriendly to the devices with limited logical resources,such as field programmable gate arrays(FPGAs).In this paper,we propose a list-serial pipelined hardware architecture with low complexity for the SCL decoding,where the serial calculation and the pipelined operation are elegantly combined to strike a balance between the complexity and the ***,we employ only one successive cancellation(SC)decoder core without L×L crossbars,and reduce the number of inputs of the metric sorter from 2L to L+***,the FPGA implementations show that the hardware resource consumption is significantly reduced with negligible decoding performance loss.

关键词： successive cancellation list decoding po-lar codes hardware implementation pipelined archi-tecture

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Energy-Efficient Hybrid Model Predictive Trajectory Planning for Autonomous Electric Vehicles

Energy-Efficient Hybrid Model Predictive Trajectory Planning...

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2024 IEEE International Conference on systems, Man, and Cybernetics, SMC 2024

作者： Ding, Fan Luo, Xuewen Li, Gaoxuan Tew, Hwa Hui Loo, Junn Yong Tong, Chor Wai Bakibillah, A.S.M. Zhao, Ziyuan Tao, Zhiyu School of Information Technology Monash University Malaysia Malaysia School of Engineering Monash University Malaysia Malaysia Tokyo Institute of Technology. Department of Systems and Control Engineering Japan Institute for Infocomm Research A*STAR Singapore Chinese Academy of Sciences National Science Library China

ISBN: (纸本)9781665410205

To tackle the twin challenges of limited battery life and lengthy charging durations in electric vehicles (EV s), this paper introduces an Energy-efficient Hybrid Model Predictive Planner (EHMPP), which employs an energy-saving optimization strategy. EHMPP focuses on refining the design of the motion planner to be seamlessly integrated with the existing automatic driving algorithms, without additional hardware. It has been validated through simulation experiments on the Prescan, CarSim, and Matlab platforms, demonstrating that it can increase passive recovery energy by 11.74% and effectively track motor speed and acceleration at optimal power. To sum up, EHMPP not only aids in trajectory planning but also significantly boosts energy efficiency in autonomous EVs. © 2024 IEEE.

关键词： Hybrid power

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A Preliminary Study of Frequency Shift Mechanism in Magnetic Resonance Coupled Human Body Communication

A Preliminary Study of Frequency Shift Mechanism in Magnetic...

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2023 Cross Strait Radio science and Wireless technology Conference, CSRSWTC 2023

作者： Chen, Lina Wang, Jiamei Wei, Ziliang Pun, Sio Hang Vai, Mang I. Gao, Yueming College of Physics and Information Engineering Fuzhou University China Fuzhou University The International Joint Laboratory on Health Intelligent Monitoring Systems China University of Macau State Key Laboratory of Analog and Mixed-Signal VLSI China University of Macau Faculty of Science and Technology China

ISBN: (纸本)9798350358971

The Magnetic Resonance-Coupled Human Body Communication (MR-HBC) method presents advantages such as high path gain and enhanced information security, rendering it particularly suitable for establishing wireless body area networks. The optimal operation of MR-HBC relies on functioning at resonance frequency. However, owing to the intricate dielectric properties of human tissues and individual differences, the resonance frequency of communication systems frequently experiences varying degrees of deviation. To delve into the intrinsic mechanism behind frequency shifts, this paper establishes a finite element model based on the genuine dielectric properties and geometric structure of the human body. It investigates the augmentation effects of human tissue on MR-HBC, examines the influence of distinct tissue electrical properties on the electromagnetic field distribution of MR-HBC, and analyzes the inherent connection between frequency shifts and human tissue electrical characteristics. The results reveal that the electrical properties of human tissues stand as the primary factor affecting frequency shifts, with the extent of frequency deviation contingent upon the proportional composition of different tissues. © 2023 IEEE.

关键词： Electromagnetic simulation MR-HBC Resonance Frequency Shift

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Cross-Modal Recipe Retrieval With Fine-Grained Prompting Alignment and Evidential Semantic Consistency

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IEEE Transactions on Multimedia 2025年 27卷 2783-2794页

作者： Huang, Xu Liu, Jin Zhang, Zhizhong Xie, Yuan Tang, Yongqiang Zhang, Wensheng Cui, Xiaohui Wuhan University School of Computer Science Wuhan430072 China Ministry of Education Wuhan430062 China East China Normal University School of Computer Science and Technology Shanghai200062 China Institute of Automation Chinese Academy of Sciences State Key Laboratory of Multimodal Artificial Intelligence Systems Beijing100190 China Wuhan University School of Cyber Science and Engineering Wuhan430072 China

Alignment between the food images and the corresponding recipes is an emerging cross-modal representation learning task. In this task, the recipes are composed of three components, i.e., food title, ingredient lists, and cooking instructions, which require a fine-grained alignment between the features of the two modalities. Existing methods usually aggregate the recipes into global embeddings and then align them with the global image embeddings. Meanwhile, semantic classification is frequently used in these methods to regularize the embeddings of the two modalities. While these methods are efficient, there remain two problems. (1) Forcing the alignment between the global images and recipes embeddings may result in losing the component-specific information. (2) The high diversity of food appearance leads to high uncertainty in the semantic classification of food images and recipes. To solve these problems, we propose a Fine-grained Prompting and Alignment (FPA) model to enhance the feature extraction and bring more component-specific information for fine-grained alignment. Furthermore, to regularize the semantic information contained in the cross-modal features, we design an Evidential Semantic Consistency (ESC) loss to keep the cross-modal semantic consistency. We have conducted comprehensive experiments on the benchmark dataset Recipe1M and the state-of-the-art results on the cross-modal recipe retrieval task demonstrate the effectiveness of our method. © 1999-2012 IEEE.

关键词： Alignment

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Data-induced learning control for unknown nonlinear systems with full-tracking performances

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science China(information sciences) 2025年

作者： Changxin LU Deyuan MENG Hongyi LI School of Automation Science and Electrical Engineering Beihang University (BUAA) State Key Laboratory of CNS/ATM Seventh Research Division Beihang University (BUAA) College of Electronic and Information Engineering Southwest University Chongqing Key Laboratory of Generic Technology and System of Service Robots Southwest University

In tackling the challenge of achieving high control accuracy while refining control effort in unknown nonlinear systems, this paper presents a novel data-induced learning control (DiLC) method. The DiLC method marks the inaugural use of operational data to iteratively update controller parameters for unknown nonlinear systems, thereby achieving full-tracking performances over the entire operation time interval. The DiLC method enriches the traditional iterative learning control(ILC) paradigm by integrating a feedback control-based approach. This integration enables exploratory trials during the initial iteration process and facilitates the online collection and iterative utilization of operational data from actual operations,thus gradually enhancing control accuracy. Furthermore, it offers a significant advantage over prevalent finite/fixed-time and prescribed performance methods in repeatable tasks. Inspired by leveraging operational data, it effectively mitigates the constraints imposed on the system and adjustment parameters by existing methods, hence providing a more flexible and efficient solution. The efficiency of the DiLC method in accuracy evolution is proven through error reduction profiles,confirming its prospect for full-tracking performances in unknown nonlinear systems.

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