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2025 IEEE International Conference on Acoustics, Speech, and Signal Processing, ICASSP 2025

作者： Li, Zhongyang Yuan, Xin Liu, Wei Xu, Xin School of Computer Science and Technology Wuhan University of Science and Technology China Hubei Province Key Laboratory of Intelligent Information Processing and Real-Time Industrial System China

ISBN: (纸本)9798350368741

Cross-view object geo-localization (CVOGL) aims to locate an object of interest in a captured ground- or drone-view image within the satellite image. However, existing works treat ground-view and drone-view query images equivalently, overlooking their inherent viewpoint discrepancies and the spatial correlation between the query image and the satellite-view reference image. To this end, this paper proposes a novel View-specific Attention Geo-localization method (VAGeo) for accurate CVOGL. Specifically, VAGeo contains two key modules: view-specific positional encoding (VSPE) module and channel-spatial hybrid attention (CSHA) module. In object-level, according to the characteristics of different viewpoints of ground and drone query images, viewpoint-specific positional codings are designed to more accurately identify the click-point object of the query image in the VSPE module. In feature-level, a hybrid attention in the CSHA module is introduced by combining channel attention and spatial attention mechanisms simultaneously for learning discriminative features. Extensive experimental results demonstrate that the proposed VAGeo gains a significant performance improvement, i.e., improving acc@0.25/acc@0.5 on the CVOGL dataset from 45.43%/42.24% to 48.21%/45.22% for ground-view, and from 61.97%/57.66% to 66.19%/61.87% for drone-view. © 2025 IEEE.

关键词： Cross-view Object-level Localization Hybrid Attention Mechanism View-specific Positional Encoding

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Combining Statistical and Semantic Features for Trajectory Point Classification 7th

Combining Statistical and Semantic Features for Trajectory P...

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7th International Conference on Data Mining and Big Data, DMBD 2022

作者： Xu, Jian Xu, Xin Ruan, Guoqing Science and Technology on Information System Engineering Laboratory Nanjing Research Institute of Electronic Engineering Nanjing210023 China

ISBN: (纸本)9789811992964

Trajectory point classification can be described as a supervised sequence labeling problem, in which a model is trained by labeling data to predict the category of unknown points and identify key events in the trajectory. Due to the difficulty of labeling trajectory point, a large amount of trajectory data is either unlabeled or labeled in an imbalanced way. To make matters worse, traditional trajectory point classification methods are generally constrained to utilize the statistical features of the labeled data and the semantic features as well as the large amount of unlabeled data have not been well studied yet. For this reason, the performance of traditional trajectory point classification methods is far from satisfactory. To solve this problem, we transfer existing language model knowledge to construct the semantic features and construct a trajectory point classification model by combining both the motion features and semantic features. The simulation results show that, compared with the traditional methods, our method has improved the accuracy of trajectory point classification by three and seven percentage points in the classification of circular and turning movements respectively. © 2022, The Author(s), under exclusive license to Springer Nature Singapore Pte Ltd.

关键词： Classification (of information)

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Artificial sensory neurons and their applications

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Journal of Semiconductors 2025年第1期46卷 108-128页

作者： Jiale Shao Hongwei Ying Peihong Cheng Lingxiang Hu Xianhua Wei Zongxiao Li Huanming Lu Zhizhen Ye Fei Zhuge Faculty of Electrical Engineering and Computer Science Ningbo UniversityNingbo 315211China Ningbo Institute of Materials Technology and Engineering Chinese Academy of SciencesNingbo 315201China School of Electronic and Information Engineering Ningbo University of TechnologyNingbo 315211China State Key Laboratory of Environment-friendly Energy Materials Southwest University of Science and TechnologyMianyang 621010China Institute of Wenzhou Zhejiang UniversityWenzhou 325006China State Key Laboratory of Silicon Materials School of Materials Science and EngineeringZhejiang UniversityHangzhou 310027China Center for Excellence in Brain Science and Intelligence Technology Chinese Academy of SciencesShanghai 200072China

With the rapid development of artificial intelligence(AI)technology,the demand for high-performance and energyefficient computing is increasingly *** limitations of the traditional von Neumann computing architecture have prompted researchers to explore neuromorphic computing as a *** computing mimics the working principles of the human brain,characterized by high efficiency,low energy consumption,and strong fault tolerance,providing a hardware foundation for the development of new generation AI *** neurons and synapses are the two core components of neuromorphic computing *** perception is a crucial aspect of neuromorphic computing,where artificial sensory neurons play an irreplaceable role thus becoming a frontier and hot topic of *** work reviews recent advances in artificial sensory neurons and their ***,biological sensory neurons are briefly ***,different types of artificial neurons,such as transistor neurons and memristive neurons,are discussed in detail,focusing on their device structures and working ***,the research progress of artificial sensory neurons and their applications in artificial perception systems is systematically elaborated,covering various sensory types,including vision,touch,hearing,taste,and ***,challenges faced by artificial sensory neurons at both device and system levels are summarized.

关键词： artificial sensory neurons artificial perception systems neuromorphic computing artificial intelligence

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A Time-Varying Parameter Estimation Method for Physiological Models Based on Physical information Neural Networks

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Computer Modeling in engineering & sciences 2023年第12期137卷 2243-2265页

作者： Jiepeng Yao Zhanjia Peng Jingjing Liu Chengxiao Fan Zhongyi Wang Lan Huang College of Information and Electrical Engineering China Agricultural UniversityBeijing100083China Key Laboratory of Agricultural Information Acquisition Technology(Beijing) Ministry of AgricultureBeijing100083China Key Laboratory of Modern Precision Agriculture System Integration Research Ministry of EducationBeijing100083China

In the establishment of differential equations,the determination of time-varying parameters is a difficult problem,especially for equations related to life ***,we propose a new framework named BioE-PINN based on a physical information neural network that successfully obtains the time-varying parameters of differential *** the proposed framework,the learnable factors and scale parameters are used to implement adaptive activation functions,and hard constraints and loss function weights are skillfully added to the neural network output to speed up the training convergence and improve the accuracy of physical information neural *** this paper,taking the electrophysiological differential equation as an example,the characteristic parameters of ion channel and pump kinetics are determined using *** results demonstrate that the numerical solution of the differential equation is calculated by the parameters predicted by BioE-PINN,the RootMean Square Error(RMSE)is between 0.01 and 0.3,and the Pearson coefficient is above 0.87,which verifies the effectiveness and accuracy of ***,realmeasuredmembrane potential data in animals and plants are employed to determine the parameters of the electrophysiological equations,with RMSE 0.02-0.2 and Pearson coefficient above *** conclusion,this framework can be applied not only for differential equation parameter determination of physiological processes but also the prediction of time-varying parameters of equations in other fields.

关键词： Physics-informed neural network differential equation bioelectrical signals inverse problems

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Proposal for valleytronic materials:Ferrovalley metal and valley gapless semiconductor

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Frontiers of physics 2024年第2期19卷 131-139页

作者： San-Dong Guo Yu-Ling Tao Guangzhao Wang Shaobo Chen Dong Huang Yee Sin Ang School of Electronic Engineering Xi’an University of Posts and TelecommunicationsXi’an 710121China Key Laboratory of Extraordinary Bond Engineering and Advanced Materials Technology of Chongqing School of Electronic Information EngineeringYangtze Normal UniversityChongqing 408100China College of Electronic and Information Engineering Anshun UniversityAnshun 561000China Science Mathematics and Technology(SMT)Singapore University of Technology and Design(SUTD)8 Somapah RoadSingapore 487372Singapore

Valleytronic materials can provide new degrees of freedom to future electronic *** this work,the concepts of the ferrovalley metal(FVM)and valley gapless semiconductor(VGS)are proposed,which can be achieved in valleytronic bilayer systems by electric field *** valleytronic bilayer systems,the interaction between out-of-plane ferroelectricity and A-type antiferromagnetism can induce layer-polarized anomalous valley Hall(LP-AVH)*** K and−K valleys of FVM are both metallic,and electron and hole carriers simultaneously *** the extreme case,the FVM can become VGS by analogizing spin gapless semiconductor(SGS).Moreover,it is proposed that the valley splitting enhancement and valley polarization reversal can be achieved by electric field engineering in valleytronic bilayer *** the bilayer RuBr_(2)as an example,our proposal is confirmed by the first-principle *** FVM and VGS can be achieved in bilayer RuBr_(2)by applying electric *** appropriate electric field range,increasing electric field can enhance valley splitting,and the valley polarization can be reversed by flipping electric field *** effectively tune valley properties by electric field in bilayer systems,the parent monolayer should possess out-of-plane magnetization,and have large valley *** results shed light on the possible role of electric field in tuning valleytronic bilayer systems,and provide a way to design the ferrovalley-related material by electric field.

关键词： valleytronics electric field bilayer

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Structural characteristics of electrohydrodynamic jets induced by a blade-plane actuator subjected to highly non-uniform electric fields:Parametric investigation through the particle image velocimetry techniques

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High Voltage 2023年第1期8卷 183-195页

作者： Zelu Yan Christophe Louste Philippe Traoré Jian Wu Jian'an Fang Logistics Engineering College Shanghai Maritime UniversityShanghaiChina Institut PPRIME Universitéde PoitiersPoitiersFrance Key Laboratory of Aerospace Thermophysics School of Energy Science and EngineeringHarbin Institute of TechnologyHarbinChina College of Information Science and Technology Donghua UniversityShanghaiChina

This study set out to systematically investigate the structural characteristics of plane electrohydrodynamic jets through the particle image velocimetry(PIV)*** to the wide range of applied voltages and electrode gaps under various experimental conditions,an assessment of the image quality and a statistical analysis of the velocity fields are first performed to ensure the validity of the PIV measurements,which were originally applied purely to fluid *** results indicate that the time interval between two consecutive images should be pre-adjusted to reduce the number of uncorrelated vector ***,the minimum number of instantaneous fields should be achieved for an accurate calculation of the time-averaged *** equivalent electric field criterion adapted to the asymmetric electrode configuration is defined to find similarities in flow structures under different voltage and electrode gap *** the applied electric field increases,three injection regimes are identified and the current increases almost linearly,indicating a large conduction current *** decrease in charge density due to recombination proves to be relevant in all cases of this *** to the parametric analysis approach for classical jets and thermal plumes,the evolution of the coefficients of axial velocity,half-width and turbulence intensity are investigated.

关键词： plane particle blade

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Antenna Pattern Reconstruction Based on Mid-field Phaseless Measured Data Using Simplified Extrapolation Technique

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IEEE Transactions on Antennas and Propagation 2025年第6期73卷 3904-3916页

作者： Yu, Le Zhang, Fengchun Zhang, Yu Zhang, Xiang Wang, Zhengpeng Jing, Ya Fan, Wei Southeast University National Mobile Communications Research Laboratory School of Information Science and Engineering Nanjing210096 China Section Department of Electronic Systems Aalborg9220 Denmark China Academy of Information and Communications Technology Beijing100191 China Beihang University Electronics and Information Engineering Beijing100191 China Co. Ltd Keysight Labs Beijing100102 China Southeast University School of Information Science and Engineering National Mobile Communications Research Laboratory China Purple Mountain Laboratories Nanjing210096 China

With the rapid development and commercialization of 5G technology, calibration and RF testing using over-the-air (OTA) is becoming increasingly important. Due to the large size of the massive MIMO base station, it is very challenging to fulfill direct far-field (DFF) conditions in OTA tests. Conventional near-field (NF) testing methods suffer from long measurement times due to the stringent sampling requirements (e.g. NF to far-field (FF) transformation) or the requirement for expensive test equipment (e.g. compact antenna test range). In this paper, we propose a simplified extrapolation technique (ET) strategy to reconstruct FF radiation pattern based on mid-field (MF) phaseless measurements, with high measurement efficiency. The traditional ET uses polynomials with many terms to fit the radiated power of an arbitrary antenna at the radial direction, while the simplified ET only use few terms to fit the power variation in the MF, taking into account the structure and element excitation characteristics of common arrays such as base stations. The relationship between the element excitation mode and the coefficients of each fitted term is determined by detailed theoretical derivations. Then, the best-fitting polynomials are determined for different excitation modes. The antenna pattern of the base station is successfully reconstructed in an anechoic chamber by power measurements at two or three different distances of less than 1/4 of the FF distance. The robustness and effectiveness of the proposed method is experimentally verified by comparing the accuracy of the antenna pattern reconstruction with different fitting polynomials in the anechoic chamber for a practical base station antenna. © 1963-2012 IEEE.

关键词： Directional patterns (antenna)

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Effects of Ocean Acidification on Nitrogen Metabolism of Skeletonema costatum

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Journal of Ocean University of China 2024年第5期23卷 1359-1370页

作者： WANG Shuxing MI Tiezhu ZHEN Yu ZHU Jianbin Key Laboratory of Marine Environment and Ecology Ministry of EducationCollege of Environmental Science and EngineeringOcean University of ChinaQingdao 266100China Laboratory for Marine Ecology and Environmental Science Qingdao Marine Science and Technology CenterQingdao 266237China Frontiers Science Center for Deep Ocean Multispheres and Earth System Ocean University of ChinaQingdao 266100China

Ocean acidification(OA),caused by the rising concentration of atmospheric CO_(2),leads to changes in the marine carbonate ***,in turn,affects the physiological processes of *** response to increased pCO_(2) levels,marine microalgae modulate their physiological responses to meet their energy and metabolic *** metabolism is a critical metabolic pathway,directly affecting the growth and reproductive capacity of marine *** the molecular mechanisms that regulate nitrogen metabolism in microalgae under OA conditions is therefore *** study aimed to investi-gate how OA affects the expression profiles of key genes in the nitrogen metabolic pathway of the marine diatom Skeletonema *** findings indicate that OA upregulates key genes involved in the nitrogen metabolic pathway,specifically those related to nitrate assimilation and glutamate ***,pCO_(2) has been identified as the predominant factor affecting the expression of these genes,with a more significant impact than pH variations in *** research not only advances our understanding of the adaptive mechanisms of *** in response to OA but also provides essential data for predicting the ecological consequences of OA on marine diatoms.

关键词： Skeletonema costatum ocean acidification nitrogen metabolism gene expression transcriptome

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Low power consumption reduced state and transition MLSE in optical interconnects

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science China(information sciences) 2023年第10期66卷 325-326页

作者： Weihao NI Fan LI Wei WANG Zhibin LUO Xingwen YI Yi CAI Zhaohui LI School of Electronics and Information Technology Guangdong Provincial Key Laboratory of Optoelectronic Information Processing Chips and Systems Sun Yat-sen University Southern Marine Science and Engineering Guangdong Laboratory(Zhuhai) Jiangsu Engineering Research Center of Novel Optical Fiber Technology and Communication Network Suzhou Key Laboratory of Advanced Optical Communication Network Technology Soochow University

Intensity modulation/direct detection(IM/DD) optical fiber communication system is an appropriate candidate for optical interconnect applications due to its low cost and low power consumption characteristics [1]. 4-level pulse amplitude modulation(PAM-4) is widely discussed in optical interconnects due to its simpler transceiver configuration and implementation [2].

关键词： Optical interconnects

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Laser-fabricated wood-based microfluidic chip integrating dual detection for lead ion detection

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Applied Optics 2025年第15期64卷 4447-4452页

作者： Li, Chen Lyu, Yicheng Li, Hao Zhao, Tianwei Ding, Shukai College of Mechanical and Electrical Engineering Shaanxi University of Science and Technology Xi’an710021 China College of Mechanical Engineering Xi’an Jiaotong University Xi’an710049 China State Key Laboratory for Manufacturing Systems Engineering Xi’an Jiaotong University Xi’an710054 China School of Physics and Information Science Shaanxi University of Science and Technology Shaanxi Xi’an710021 China

This study utilized laser processing to prepare a wood-based microfluidic chip incorporating two detection methods (microwave detection and colorimetric spectroscopy detection) for detecting lead ions in solutions. By optimizing CO2 and femtosecond laser processing parameters and ultraviolet bonding processes, preparation of the chip was achieved. Femtosecond laser processing created 5.285 µm capacitive gaps in resistor-inductor-capacitor (RLC) resonant circuits. RLC circuits and a sodium rhodizonate colorimetric method were used to detect lead ions in solutions. Experimental results showed that the dual-mode system exhibited detection limits of 1 µg/L (colorimetry, linear response at 620 nm, R2 = 0.975) and 10 µg/L (microwave sensing via the peak frequency changes between 2.5 and 3.2 GHz, with a sensitivity of 0.36 dB/10 µg/L). This study accomplished the precision manufacturing of a wood-based microfluidic chip through laser processing and realized the integration of microwave and spectroscopic detection technologies. © 2025 Optica Publishing Group.

关键词： Gluing

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