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18th International Conference on Wireless Artificial Intelligent Computing Systems and Applications, WASA 2024

作者： Wang, Yuxuan Di, Xinyu Liu, Ningbo Zhang, Xianchao Ren, Wei School of Computer Science China University of Geosciences Wuhan China Department of Computer Science University of Toronto TorontoONM5S 1A1 Canada International College Chongqing University of Technology Chongqing China Key Laboratory of Medical Electronics and Digital Health of Zhejiang Province Jiaxing University Jiaxing China Engineering Research Center of Intelligent Human Health Situation Awareness of Zhejiang Province Jiaxing University Jiaxing China Ministry of Education Chengdu China State Key Laboratory of Geo-Information Engineering and Key Laboratory of Surveying and Mapping Science and Geospatial Information Technology of MNR CASM Beijing China

ISBN: (纸本)9783031714665

In a survey, a lot of questions and answers are listed and participators will select one of the answers for each question. Sometimes, participators may not be willing to select the preferred one item in the answers because the item may damage the privacy of themselves. If this question is not answered, then it reveals that the question or the answers are sensitive, which also damages the privacy. Besides, each participator may have distinct privacy concerns even for the same questions and answers, thus the privacy-aware questions and answers cannot be determined and be removed in advance. Thus, the dilemma is how to select the answers for privacy-aware questions yet maintain the utility of the answering results in the survey. In this paper, we propose a general method to protect the various privacy in the investigation without the knowledge of privacy to be protected in advance. The main idea is that participators can randomly select answers if the privacy is the concern for themselves in the answers for this question. Our method is lightweight so as to be convenient in practices. We extensively analyze the accuracy of survey results to justify that our method can protect the privacy yet maintain the utility of the investigation. © The Author(s), under exclusive license to Springer Nature Switzerland AG 2025.

关键词： Differential privacy

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Towards Event Extraction with Massive Types: LLM-based Collaborative Annotation and Partitioning Extraction

arXiv

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arXiv 2025年

作者： Liu, Wenxuan Li, Zixuan Bai, Long Zuo, Yuxin Xu, Daozhu Jin, Xiaolong Guo, Jiafeng Cheng, Xueqi School of Computer Science and Technology University of Chinese Academy of Sciences China Key Laboratory of Network Data Science and Technology Institute of Computing Technology Chinese Academy of Sciences China State Key Laboratory of Geo-Information Engineering Shaanxi Xi’an China

Developing a general-purpose extraction system that can extract events with massive types is a long-standing target in Event Extraction (EE). In doing so, the challenge comes from two aspects: 1) The absence of an efficient and effective annotation method. 2) The absence of a powerful extraction method can handle massive types. For the first challenge, we propose a collaborative annotation method based on Large Language Models (LLMs). Through collaboration among multiple LLMs, it first refines annotations of trigger words from distant supervision and then carries out argument annotation. Next, a voting phase consolidates the annotation preferences across different LLMs. Finally, we create the EEMT dataset, the largest EE dataset to date, featuring over 200,000 samples, 3,465 event types, and 6,297 role types. For the second challenge, we propose an LLM-based Partitioning EE method called LLM-PEE. To overcome the limited context length of LLMs, LLM-PEE first recalls candidate event types and then splits them into multiple partitions for LLMs to extract events. The results in the supervised setting show that LLM-PEE outperforms the state-of-the-art methods by 5.4% in event detection and 6.1% in argument extraction. In the zero-shot setting, LLM-PEE achieves up to 12.9% improvement compared to mainstream LLMs, demonstrating its strong generalization capabilities. Copyright © 2025, The Authors. All rights reserved.

关键词： Large datasets

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Multi-point and High-sensitivity Hydrogen Sensor Based on OFDR and Fiber-tip Microcavities

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Journal of Lightwave technology 2025年

作者： Liu, Xing Li, Qiujuan Yu, Xinyue Ge, Zhidong Li, Tianfu Sui, Jinglin Ba, Dexin Dong, Yongkang Harbin Institute of Technology National Key Laboratory of Laser Spatial Information Harbin150001 China PipeChina Institute of Science and Technology Langfang065000 China Harbin Institute of Technology Zhengzhou Research Institute Zhengzhou450007 China

A high sensitivity, multi- area hydrogen sensing technology is proposed. It employs Pd-coated Fabry-Perot (FP) microcavities as high-sensitivity hydrogen sensing units, and uses optical frequency domain reflectometry (OFDR) to measure the spectra of multiple FP microcavities at the same time, so as to achieve multi-point and high-sensitivity hydrogen concentration measurement. In the demonstration experiment, five FP hydrogen sensing units are prepared based on nanofabrication technology. With OFDR, the spectra of FP cavities at 0-4% hydrogen concentration are measured, achieving a hydrogen sensing with a sensitivity of ∼1 nm/%, and the response time of 12.6 s. The scheme retains the advantages of high sensitivity and fast sensing of the conventional FP hydrogen sensor based on wavelength division multiplexing (WDM), and effectively solves the problem of multiplexing deficiency of the WDM-based sensor due to the bandwidth limitation of light source. It can realize the hydrogen leakage monitoring of multiple areas in space with a maximum number of sensing points up to thousands and a coverage of kilometers. © 1983-2012 IEEE.

关键词： Microcavities

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Evaluating multi-modal image matching algorithms for remote sensing applications 6

Evaluating multi-modal image matching algorithms for remote ...

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6th International Conference on geoscience and Remote Sensing Mapping, GRSM 2024

作者： Liu, Zhanquan Han, Yilong Fu, Mingsheng Song, Baiwan Gong, Danchao Ming, Yanfang Sun, Lin College of Geodesy and Geomatics Shandong University of Science and Technology Qingdao266590 China Shandong Province Research Center of Engineering and Technology for GPS RS and GIS Qingdao266590 China Star-Rising Technologies Co. Ltd. Qingdao266590 China Chinese Academy of Surveying and Mapping Beijing100036 China Shandong GEO-Surveying & Mapping Institute Jinan250000 China State Key Laboratory of Geo-Information Engineering Xi’an710054 China Xi’an Institute of Surveying and Mapping Xi’an710054 China

ISBN: (纸本)9781510688018

Image matching is a fundamental task in image processing, particularly in photogrammetry and remote sensing. Conventional image matching methods often struggle with multi-modal images due to significant geometric distortions and nonlinear radiometric effects. To address these challenges, researchers have developed a variety of algorithms specifically tailored for multi-modal data. Despite this, there is a notable lack of comprehensive theoretical summaries of multi-modal image matching. This paper aims to bridge this gap by discussing the complexities of matching multi-modal images and providing a succinct overview of existing methods. We evaluate three Conventional algorithms—OS-SIFT, RIFT, and POS-GIFT—and two deep learning methods—SemLA and SuperPoint+SuperGlue. These methods are assessed using six types of multi-modal remote sensing datasets: Optical-Optical, Optical-Infrared, Optical-Depth, Optical-Map, Optical-Synthetic Aperture Radar (SAR), and Day-Night. The results indicate that the POS-GIFT algorithm outperforms others, achieving an average of 1217 correct matches with a success rate of 96.70%. This paper concludes by discussing the challenges of multi-modal image matching and suggesting future research directions, serving as a valuable resource for researchers and practitioners in remote sensing. © 2025 SPIE.

关键词： Image matching

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Design of multifunctional tunable dual-layer metalens based on deep learning

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Optics Express 2025年第10期33卷 21979-21998页

作者： Yu Wang Yue Wang Guohui Yang Kuang Zhang Xing Yang Chunhui Wang Yu Zhang National Key Laboratory of Laser Spatial Information Harbin Institute of Technology Harbin Heilongjiang 150001 China School of Electronic and Information Engineering Harbin Institute of Technology Harbin Heilongjiang 150001 China State Key Laboratory of Pulsed Power Laser Technology Advanced Laser Technology Laboratory of Anhui Province Electronic Engineering Institute National University of Defense Technology Hefei 230037 China Jianghuai Advance Technology Center Hefei 230037 China wangch_hit@*** zhangyu24d@***

To address the challenges of complex control in individually tunable meta-atoms and the limited modulation performance of single-layer holistic tunable metalenses, we propose a dual-layer tunable multifunctional metalens that utilizes holistic modulation based on the tunable BaTiO 3 (BTO) material. This design enables rapid switching between different functionalities to be achieved by varying the voltage across the top and bottom layers. To accelerate the device design process, we employ a deep learning algorithm based on the transformer structure and incorporate a band embedding method that aids in predicting the high-frequency response. This approach enables accurate and rapid prediction of the transmittance and phase of meta-atoms in different voltage states, and can generate 100,000 arbitrary geometric meta-atoms in less than 1 s. Detailed simulation results demonstrate that the designed metalens can achieve near-perfect switching between dual-functionality and quadruple-functionality within the visible light range. The switchable functionalities include focal length, focal position, beam deflection angle, beam splitting, and the transitions between these different functionalities. Furthermore, to enhance the manufacturability of the designed metalens, we replace arbitrary geometric meta-atoms with simple geometric meta-atoms to design the structure of the overall metalens, which can also achieve the dual-function switchable effect with minimal performance degradation.

关键词： Chromatic aberration Deep learning Machine learning Optical properties Phase modulation Phase shift

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A SAR Deceptive Jamming Suppression Method Based on PRI Variation Design and Multi-Channel Principle

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IEEE Transactions on geoscience and Remote Sensing 2025年

作者： Shi, Haixu Xu, Zhongqiu Li, Guangzuo Lin, Kuan Liu, Tianqu Hong, Wen Chinese Academy of Sciences Aerospace Information Research Institute Beijing100094 China Key Laboratory of Spatial Information Processing and Application System Technology Beijing100094 China Key Laboratory of Target Cognition and Application Technology Beijing100094 China University of Chinese Academy of Sciences School of Electronic Electrical and Communication Engineering Beijing101499 China

The synthetic aperture radar (SAR) can be affected by various types of jamming during operation. Among them, the deceptive jamming generated by digital radio frequency memory (DRFM) jammers poses a serious threat to SAR imaging by creating highly realistic false targets. Moreover, with advancements in deceptive jamming technology, the generation speed of deceptive jamming has increased, rendering existing methods less effective. To address this issue, an anti-deceptive jamming method based on pulse repetition interval (PRI) variation design and multi-channel principle is proposed to mitigate the effects of deceptive jamming. First, a PRI variation strategy that will not cause the loss of echo signals in the imaging area is designed. By utilizing this strategy for imaging, deceptive jamming signals are dispersed across different ranges, resulting in preliminary suppression of the jamming. Subsequently, after azimuth non-uniform sampling reconstruction and range processing, most of the jamming signals are suppressed due to the azimuth timing differences between SAR and jamming signals. However, when the jammer uses specific retransmission intervals, such as the average PRI of the PRI sequence, the jamming signals may be concentrated at certain ranges, retaining some coherence and posing a threat to SAR imaging. To overcome this challenge, a residual jamming detection and suppression algorithm based on multi-channel principle is proposed, which can detect and filter out the channels affected by jamming. Finally, an azimuth sparse reconstruction is introduced for azimuth processing. Since the anti-jamming principle of this method relies on the differences in azimuth timing between SAR and jamming, it can suppress deceptive jamming even when the generation speed of deceptive jamming is rapid, which some other anti-deceptive jamming methods cannot achieve. Simulations of SAR imaging under deceptive jamming conditions are conducted for point target scene and complex target

关键词： Synthetic aperture radar

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The target detection probability model of GM-APD LiDAR in smoke environment 10

The target detection probability model of GM-APD LiDAR in sm...

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10th Symposium on Novel Optoelectronic Detection technology and Applications

作者： Lu, Jie Sun, Jianfeng Zhang, Yinbo Li, Sining Zhou, Xin National Key Laboratory of Laser Spatial Information Institute of Opto-Electronic Harbin Institute of Technology Heilongjiang Harbin150001 China Zhengzhou Research Institute of Harbin Institute of Technology Henan Zhengzhou450000 China Research Center for Space Optical Engineering Harbin Institute of Technology Heilongjiang Harbin150001 China 44th Res Inst China Elect Technol Grp Corp Chongqing400060 China

ISBN: (数字)9781510688155

ISBN: (纸本)9781510688148

To address the imperfections of the current GM-APD LiDAR target detection theoretical model, based on the LiDAR distance equation and the transmission theory of laser in smoke environment, this paper introduces smoke scattering medium into the imaging model and constructs a GM-APD LiDAR target detection model transmitted through smoke scattering medium. This model could quantitatively analyze the detection probability and target detection probability in various smoke detection scenarios. The research results indicate that the detection probability and target detection probability are jointly affected by the smoke distribution interval, smoke attenuation coefficient, laser emission power, and target distance. In practical applications, it is necessary to fully combine the characteristics of smoke environment and the resources of GM-APD LiDAR system to improve the noise suppression and three-dimensional imaging performance of GM-APD LiDAR. This study has theoretical guidance significance for the system optimization and target detection capability improvement of GM-APD LiDAR in smoke environments. © 2025 SPIE.

关键词： Optical radar

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Characteristics of Musta Glacier surges and their responses to climate change between 1976 and 2023

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Advances in Climate Change Research 2025年第1期16卷 125-140页

作者： Yong-Peng GAO Shi-Yin LIU Jin-Liang WANG Xiao-Jun YAO Miao-Miao QI Peng-Bin LIANG Jian-Xin MU Xing-Gang MA Yu ZHU Fu-Ming XIE Zong-Li JIANG Zhen ZHANG Yunnan Normal University Kunming 650500China Institute of International Rivers and Eco-Security Yunnan UniversityKunming 650091China Key Laboratory of Resources and Environmental Remote Sensing for Universities in Yunnan Kunming 650500China Key Laboratory of Resource Environment and Sustainable Development of Oasis Northwest Normal UniversityGansu ProvinceLanzhou 730070China School of Ecology and Environmental Science Qinghai University of Science and TechnologyXining 810008China Key Laboratory of Cryospheric Science and Frozen Soil Engineering/Tian Shan Glaciological Station Northwest Institute of Eco-Environment and ResourcesChinese Academy of SciencesLanzhou 730000GansuChina National Field Science Observation and Research Station of Yulong Snow Mountain Cryosphere and Sustainable Development Northwest Institute of EcoEnvironment and ResourcesChinese Academy of SciencesLanzhou 730000China School of Earth Sciences and Spatial Information Engineering Hunan University of Science and TechnologyXiangtan 411201China School of Geomatics Anhui University of Science and TechnologyHuainan 232001China

Understanding the differential responses of various tributaries of the same glacier to climate change under similar climatic conditions in the Karakoram is crucial for unraveling the complexity of glacier dynamics in this *** study systematically examines the surface elevation,flow velocity,morphological changes,and climate responses for different tributary glaciers of the Musta Glacier,using multi-source remote sensing imagery and meteorological reanalysis data from 1976 to *** findings reveal that the tributaries of Musta Glacier experienced a total of nine surges,with an average duration exceeding ten *** surges typically began in spring and summer and concluded in summer and *** these events,the glaciers transferred an estimated 1.32 km^(3)of material downstream,resulting in an average thickening of over 30 m in the receiving *** analysis of velocities reveals that the acceleration phase of Musta Glacier tributary surges ranges from 1 to 12 years,with an average duration exceeding 6 years,while the deceleration phase consistently lasts less than 4 *** the tributaries,the South Chongtar Glacier exhibits the most rapid surge dynamics,with a total surge duration of just 5 ***,all surging tributaries of Musta Glacier induce notable geomorphic changes during their surge events,including the formation of ring-shaped moraines and terminal *** analysis with previous studies reveals that the surge characteristics of most Musta Glacier tributaries resemble those of thermally controlled Svalbard-type surging ***,we observed that the surging patterns of Musta Glacier are closely linked to regional climatic variations,characterized by increased precipitation and noticeably cooling prior to surge *** the other hand,we proposed that the asynchronous surging behavior among the tributaries of Musta Glacier is primarily driven by variations in the internal dynamic processes of e

关键词： Glacier surge Climate change Musta Glacier Karakoram Remote sensing

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Unveiling the Ecohydrological Pulse: A Dynamic Wind Wave Intensity Model for Poyang Lake Grasslands

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Ecohydrology 2025年第3期18卷

作者： Shang, Xue Chen, Wenbo Zhang, Fuqing National Key Laboratory of Uranium Resource Exploration-Mining and Nuclear Remote Sensing East China University of Technology Nanchang China Yan'an Key Laboratory of Ecological Restoration Yan'an University Yan'an China School of Surveying and Geoinformation Engineering East China University of Technology Nanchang China Jiangxi Key Laboratory of Watershed Ecological Process and Information East China University of Technology Nanchang China Nanchang Key Laboratory of Landscape Process and Territorial Spatial Ecological Restoration East China University of Technology Nanchang China

The grassland of Poyang Lake is a typical landscape serving as a critical ecological zone where intricate wind–water interactions significantly influence local biodiversity. However, the energetic and temporal characteristics of wind waves and their driving paths are unknown. This study introduces a wind wave intensity (WWI) model to explore the dynamics of wind wave characteristics and analyses the temporal dynamics of WWI drivers such as water level (WL), water depth (WD), wind velocity (WV), wind orientation (WO) and wind orientation frequency (FQ), and WWI characteristic indices such as wave height (WVH), wavelength (WVL) and flushing distance (FLD) from 2018 to 2020, to reveal the response processes and mechanisms between them. The results are as follows: (1) Cyclical patterns were observed in the drivers, particularly highlighting seasonal variations in WO and FQ. The WWI exhibited a fluctuating pattern with a discernible oscillatory period, indicative of a sophisticated interplay among environmental factors. (2) It was found that WVH, WVL and FLD were predominantly influenced by WL, with negative modulation by WV, WO and FQ. At high WWI levels, a robust negative modulation by WV and WO preceded a highly significant positive modulation of WVH, WVL and FLD by WL. Conversely, at low WWI levels, FQ positively regulated WL, which in turn positively influenced wave characteristics. (3) The driving path model for WWI characteristics underscored the dual role of environmental factors in regulating the ecological landscape. The study's findings emphasize the intricate interplay between wind wave dynamics and landscape ecology, demonstrating how changes in WWI can affect grassland biodiversity through habitat alterations induced by variations in water levels and wave energy. It offers critical insights for forecasting and mitigating potential ecological impacts of wind wave processes, thereby enhancing biodiversity conservation and landscape management efforts in the P

关键词： Anthropogenic

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A review on global spatial distribution,sources and toxicity of perfluoroalkyl acid and prospect in the cryosphere

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Journal of Mountain Science 2025年第1期22卷 167-183页

作者： LI Bowen Du Wentao KANG Shichang CHEN Jizu JIANG Youyan YIN Lichen LU Changsheng LIU Hongyi State Key Laboratory of Cryospheric Science and frozen soil engineering Northwest Institute of Eco-Environment and ResourcesChinese Academy of Sciences(CAS)Lanzhou 730000China University of Chinese Academy of Sciences Beijing 100049China Gansu Provincial Industry Technology Center of Intelligent Equipment and Big Data for Disaster Prevention Northwest Institute of Eco-Environment and ResourcesChinese Academy of Sciences(CAS)Lanzhou 730000China Lanzhou Regional Climate Center Lanzhou 730000China School of Earth Sciences and Spatial Information Engineering Hunan University of Science and TechnologyXiangtan 411201China School of Energy and Power Engineering Lanzhou University of TechnologyLanzhou 730000China Zhangye Meteorological Service Zhangye 734000China

Perfluoroalkyl acid analogs(PFAAs)are a class of chemically stable environmentally persistent organic pollutants(POPs)that are difficult to degrade and have a strong capacity to accumulate in the human *** have been found to be biotoxic to humans and have been detected in various environmental media,especially in the cryosphere at trace *** cryosphere,sensitively responds to climate change,plays a crucial role in the global water,carbon and energy ***,researches on cryosphere PFAAs especially in Tibetan Plateau(TP)is ***,we summarize the physicochemical properties,physiological toxicity,spatiotemporal distribution,sources,diffusion and migration pathways,as well as analysis and removal methods of PFAAs in the cryosphere *** results show that PFAAs pollutants are mainly produced and distributed in the more economically developed countries in Europe and the United States,as well as in East Asia,and PFAAs can be transported by atmospheric circulation and water cycle to remote regions including cryosphere *** current detection methods for PFAAs in cryosphere need to be further refined for increased accuracy and *** is also a need to develop more effective removal methods that will reduce the environmental and human threats posed by these ***,we propose key scientific questions for future research in cryosphere including PFAAs redistribution influenced by cryosphere changes,human activities,and the interaction of other spheres.

关键词： Perfluoroalkyl acid Cryosphere Physiological toxicity Analytical method Removal method

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