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Fortifying Smart Grids: A Holistic Assessment Strategy against Cyber Attacks and Physical Threats for Intelligent Electronic Devices

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Computers, Materials & Continua 2024年第8期80卷 2579-2609页

作者： Yangrong Chen June Li Yu Xia Ruiwen Zhang Lingling Li Xiaoyu Li Lin Ge School of Computer Science Zhengzhou University of AeronauticsZhengzhou450046China Henan Xin’an Century Technology Co. Ltd.Henan Data Security Engineering Technology Research CenterZhengzhou450046China Key Laboratory of Aerospace Information Security and Trusted Computing Ministry of EducationSchool of Cyber Science and EngineeringWuhan UniversityWuhan430072China

Intelligent electronic devices(IEDs)are interconnected via communication networks and play pivotal roles in transmitting grid-related operational data and executing control *** the context of the heightened security challenges within smart grids,IEDs pose significant risks due to inherent hardware and software vulner-abilities,as well as the openness and vulnerability of communication *** grid security,distinct from traditional internet security,mainly relies on monitoring network security events at the platform layer,lacking an effective assessment mechanism for ***,we incorporate considerations for both cyber-attacks and physical faults,presenting security assessment indicators and methods specifically tailored for ***,we outline the security monitoring technology for IEDs,considering the necessary data sources for their security ***,we classify IEDs and establish a comprehensive security monitoring index system,incorporating factors such as running states,network traffic,and abnormal *** index system contains 18 indicators in 3 ***,we elucidate quantitative methods for various indicators and propose a hybrid security assessment method known as GRCW-hybrid,combining grey relational analysis(GRA),analytic hierarchy process(AHP),and entropy weight method(EWM).According to the proposed assessment method,the security risk level of IEDs can be graded into 6 levels,namely 0,1,2,3,4,and *** higher the level,the greater the security ***,we assess and simulate 15 scenarios in 3 categories,which are based on monitoring indicators and real-world situations encountered by *** results show that calculated security risk level based on the proposed assessment method are consistent with actual ***,the reasonableness and effectiveness of the proposed index system and assessment method are validated.

关键词： Smart grid intelligent electronic device security assessment abnormal behaviors network traffic running states

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Resin-Based Dielectric Terahertz Metalens and Applications

Resin-Based Dielectric Terahertz Metalens and Applications

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

作者： Shi, Jia Wang, Guanlong Xu, Cong School of Electronic and Information Engineering Tianjin Key Laboratory of Optoelectronic Detection Technology and System Tiangong University Tianjin300387 China

ISBN: (纸本)9798350358971

All-dielectric metalenses have become a research hotspot because of their high-efficiency and customizable features. Here, a resin-based dielectric metalens is designed by two-dimensional circumferential metagrating arrays for terahertz imaging beyond classical physical diffraction limit. The metalens is fabricated with UV -sensitive resin by a photo curing 3D printer. With the proposed scheme, the terahertz beam can be focused as a filamentous focal spot in sub-wavelength scale with a long depth of focus. As its demonstration in terahertz imaging applications, the printed transmission lines on the PCB board can be clearly imaged. The proposed metalens shows great potential in high-resolution 6G terahertz spatial sensing and imaging. © 2023 IEEE.

关键词： metagrating metalens THz imaging

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Complex scene fall detection method based on improved YOLOv5 24

Complex scene fall detection method based on improved YOLOv5

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13th International Conference on Computing and Pattern Recognition, ICCPR 2024

作者： Li, Yifan Liu, Pengyu Kong, Lili Deng, Yiyang Liu, Weilong Chen, Shanji Chen, Jiali Yuan, Bowen School of Information Science and Technology Beijing Laboratory of Advanced Information Networks Beijing Key Laboratory of Computational Intelligence and Intelligent System Beijing University of Technology Beijing China Hebei Hongyi Environmental Protection Technology Co. Ltd Dingzhou Hebei China Beijing-Dublin International College at BJUT Beijing University of Technology Beijing China Information Technology Co. Ltd Dingzhou Hebei China College of Physics and Electronic Information Engineering Qinghai Minzu University Qinghai China

ISBN: (纸本)9798400717482

Aiming at the existing deep learning-based fall detection model in multiple complex scenes such as multi-person scenes, long-distance scenes, and occlusion scenes, there are problems such as leakage detection and false detection. In this paper, we take the falling person as the research object, construct a dataset containing multiple complex scenes such as multi-person scenes, long-distance scenes, and occlusion scenes, and propose a fall detection model based on improved YOLOv5. By improving the backbone network and neck network structure of the detection model, the problem of low accuracy of fall detection due to incomplete target deformation features and target detail features in complex scenes is solved. The proposed algorithm in this paper achieves an average accuracy of 92.78% for fall detection in complex scenes, and the detection speed reaches 36 frames/second. © 2024 Copyright held by the owner/author(s).

关键词： Fall detection

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Acoustic black hole effect enhanced micromanipulator

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Microsystems & Nanoengineering 2024年第5期10卷 345-352页

作者： Qiu Yin Haoyong Song Zhaolong Wang Zhichao Ma Wenming Zhang State Key Laboratory of Mechanical System and Vibration Shanghai Jiao Tong UniversityShanghaiChina institute of Medical Robotics School of Biomedical EngineeringShanghai Jiao Tong UniversityShanghaiChina College of Mechanical and Vehicle Engineering Hunan UniversityChangshaChina School of Energy Science and Engineering Harbin Institute of TechnologyHarbinP.R.China

Microparticle manipulation is a critical concern across various felds including microfabrication,flexible electronics and tissue ***-activated sharp structures have been designed as simple and flexible tools to manipulate microparticles with their good compatibility,fast response,and broad ***,there still lacks rational acoustic-structure design for effective energy concentration at the acoustic-activated sharp structures for microparticle ***,we present the acoustic black hole(ABH)effect as enhancement for the acoustic *** provides great reliability,simplicity and ease of use,supporting custom design of high-throughput patterning ***,compared to commonly used configurations,such as cylindrical or conical microneedles,those microneedles with ABH profle exhibit superior acoustic energy focusing at the tip and induce stronger acoustofluidic *** average acoustic flow velocity induced by the ABH microneedle is 154 times greater than that of the conical one and 45 times greater than that of the cylindrical ***,the average acoustic radiation force(ARF)produced by the ABH microneedle against acrylic microparticles is about 319 times greater than that of the cylindrical one and 16 times greater than that of the conical *** results indicate that ABH design significantly enhances microparticle *** demonstrate this concept with ABH effect enhanced microparticle manipulation and study the parameters influencing its performance including operating frequency,operating voltage and particle ***,considering the flexibility of this system,we employ it for various patterning and high-throughput microparticle *** work paves the way for controllable microparticle manipulation,holding great potential for applications in microfabrication and biomedicine.

关键词： cylindrical Acoustic simplicity

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A Review:Principles and Applications of High-Pressure In Situ Time-Resolved Transient Absorption Spectroscopy

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Ultrafast science 2024年第2期4卷 45-59页

作者： Xiaxia Qin Guozhao Zhang Lin Chen Qinglin Wang Guangyu Wang Haiwa Zhang Yinwei Li Cailong Liu School of Physics Science and Information Technology Liaocheng UniversityLiaocheng 252059China Laboratory of Quantum Functional Materials Design and Application of Physics and Electronic Engineering Jiangsu Normal UniversityXuzhou 22116China

Time-resolved transient absorption(TA)spectroscopy measurement technology provides detailed information into the ultrafast dynamics by tracking the transitions and deactivation processes of the excited-state carriers,which holds vast potential for investigating processes related to the luminescence and nonradiative recombination of *** is considered a potent tool for tuning the carrier dynamic *** combination of high-pressure experimental technology and time-resolved TA spectroscopy measurement technology enables researchers to reveal the inherent relation between the structure and optical properties of materials,which is crucial for optimizing material performance and applications in the field of *** this review,the principles and the theoretical foundations of high-pressure time-resolved TA spectroscopy measurement technology will be introduced,and the research advancements in ultrafast dynamics processes of materials under high pressure will be summarized and *** addition,we will expound on the future prospects of time-resolved TA spectroscopy measurement technology to detect the ultrafast dynamic behaviors of materials and complexes under the coregulation of temperature and pressure.

关键词： materials resolved holds

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A Deep Neural Collaborative Filtering Based Service Recommendation Method with Multi-Source Data for Smart Cloud-Edge Collaboration Applications

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Tsinghua science and technology 2024年第3期29卷 897-910页

作者： Wenmin Lin Min Zhu Xinyi Zhou Ruowei Zhang Xiaoran Zhao Shigen Shen Lu Sun Alibaba Business School Hangzhou Normal UniversityHangzhou 311121China Blockchain Laboratory of Agricultural Vegetables Weifang University of Science and TechnologyShouguang 262700China School of Computer Science Qufu Normal UniversityRizhao 276827China School of Information Engineering Huzhou UniversityHuzhou 313000China

Service recommendation provides an effective solution to extract valuable information from the huge and ever-increasing volume of big data generated by the large cardinality of user ***,the distributed and rich multi-source big data resources raise challenges to the centralized cloud-based data storage and value mining approaches in terms of economic cost and effective service recommendation *** view of these challenges,we propose a deep neural collaborative filtering based service recommendation method with multi-source data(i.e.,NCF-MS)in this paper,which adopts the cloud-edge collaboration computing paradigm to build recommendation *** specifically,the Stacked Denoising Auto Encoder(SDAE)module is adopted to extract user/service features from auxiliary user profiles and service *** Multiple Layer Perceptron(MLP)module is adopted to integrate the auxiliary user/service features to train the recommendation ***,we evaluate the effectiveness of the NCF-MS method on three public *** experimental results show that our proposed method achieves better performance than existing methods.

关键词： deep neural collaborative filtering multi-source data cloud-edge collaboration application stackeddenoising auto encoder multiple layer perceptron

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Advances in Atmospheric Radiation:Theories,Models,and Their ***Ⅱ:Radiative Transfer Models and Related Applications

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Journal of Meteorological Research 2024年第2期38卷 183-208页

作者： Hua ZHANG Feng ZHANG Lei LIU Yuzhi LIU Husi LETU Yuanjian YANG Zhengqiang LI Kun WU Shuai HU Ming LI Tie DAI Fei WANG Zhili WANG Yuxiang LING Yining SHI Chao LIU State Key Laboratory of Severe Weather and Institute of Climate System Chinese Academy of Meteorological SciencesChina Meteorological AdministrationBeijing 100081 Collaborative Innovation Center on Forecast and Evaluation of Meteorological Disasters Nanjing University of Information Science&TechnologyNanjing 210044 Department of Atmospheric and Oceanic Sciences&Institute of Atmospheric Sciences Fudan UniversityShanghai 200438 College of Meteorology and Oceanography National University of Defense TechnologyChangsha 410073 College of Atmospheric Sciences Lanzhou UniversityLanzhou 730000 State Key Laboratory of Remote Sensing Science Aerospace Information Research InstituteChinese Academy of SciencesBeijing 100101 School of Atmospheric Physics Nanjing University of Information Science&TechnologyNanjing 210044 School of Atmospheric Sciences Nanjing University of Information Science&TechnologyNanjing 210044 Institute of Atmospheric Physics Chinese Academy of SciencesBeijing 100029 CMA Earth System Modeling and Prediction Centre China Meteorological Administration(CMA)Beijing 100081

The subject of“atmospheric radiation”includes not only fundamental theories on atmospheric gaseous absorption and the scattering and radiative transfer of particles(molecules,cloud,and aerosols),but also their applications in weather,climate,and atmospheric remote sensing,and is an essential part of the atmospheric *** review includes two parts(Part I and PartⅡ);following the first part on gaseous absorption and particle scattering,this part(PartⅡ)reports the progress that has been made in radiative transfer theories,models,and their common applications,focusing particularly on the contributions from Chinese *** recent achievements on radiative transfer models and methods developed for weather and climate studies and for atmospheric remote sensing are firstly ***,the associated applications,such as surface radiation estimation,satellite remote sensing algorithms,radiative parameterization for climate models,and radiative-forcing related climate change studies are summarized,which further reveals the importance of radiative transfer theories and models.

关键词： atmospheric radiation radiative transfer remote sensing radiative forcing climate change

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Measuring^(222)Rn in aquatic environment via Pulsed Ionization Chamber Radon Detector

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Acta Oceanologica Sinica 2023年第8期42卷 185-189,I0001-I0006页

作者： Lijun Song Wen Liu Shibin Zhao Chunqian Li Jinjia Guo Natasha Dimova Bochao Xu Frontiers Science Center for Deep Ocean Multispheres and Earth System/Key Laboratory of Marine Chemistry Theory and Technology of Ministry of Education Ocean University of ChinaQingdao 266100China Laboratory for Marine Ecology and Environmental Science Qingdao National Laboratory for Marine Science and TechnologyQingdao 266071China College of Chemistry and Chemical Engineering Ocean University of ChinaQingdao 266100China College of Information Science and Engineering Ocean University of ChinaQingdao 266100China R&D Center for Marine Instruments and Apparatuses Qingdao Marine Science and Technology CenterQingdao 266200China Department of Geological Sciences College of Arts and SciencesUniversity of AlabamaTuscaloosa 35487USA

Radon(Rn)is a naturally occurring radioactive inert gas in nature,and^(222)Rn has been routinely used as a powerful tracer in various aquatic environmental research on timescales of hours to days,such as submarine groundwater *** we developed a new approach to measure^(222)Rn in discrete water samples with a wide range of^(222)Rn concentrations using a Pulsed Ionization Chamber(PIC)Radon *** sensitivity of the new PIC system is evaluated at 6.06 counts per minute for 1 Bq/L when a 500 mL water sample volume is used.A robust logarithmic correlation between sample volumes,ranging from 250 mL to 5000 mL,and system sensitivity obtained in this study strongly suggests that this approach is suitable for measuring radon concentration levels in various natural *** to the currently available methods for measuring radon in grab samples,the PIC system is cheaper,easier to operate and does not require extra accessories(e.g.,drying tubes etc.)to maintain stable measurements throughout the counting procedure.

关键词： ^(222)Rn radon measurement Pulsed Ionization Chamber Radon Detector radon in discrete water samples submarine groundwater discharge

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Enhancing WRSN Sustainability Through On-Demand Directional Wireless Charging With Multiple Green-Powered Mobile Vehicles

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IEEE Internet of Things Journal 2025年第11期12卷 18019-18030页

作者： Ma, Xiongbo Liu, Xilong Ansari, Nirwan Ding, Jun Yunnan University School of Information Science and Engineering Yunnan Kunming650500 China New Jersey Institute of Technology Advanced Networking Laboratory Helen and John C. Hartmann Department of Electrical and Computer Engineering NewarkNJ07102 United States

Current research on scheduling mobile charging vehicles (MCVs) generally focuses on periodic and omnidirectional charging of sensor nodes (SNs). However, this approach leads to significant energy wastage, especially when relying on fossil energy sources. In this work, we propose to schedule multiple green energy-powered MCVs equipped with directional antennas to efficiently charge SNs. We first develop an on-demand and directional charging model based on far-field wireless charging. Then, we formulate the SN survival maximization problem to efficiently prolong the lifetime of wireless rechargeable sensor networks (WRSNs). Given the NP-hard nature of this optimization problem, we develop the three-Step directIonal wireless charGiNg (SIGN) algorithm to efficiently solve this problem. SIGN strategically determines the MCVs’ anchor points (APs), traveling paths and wireless energy emitting directions. Finally, we conduct extensive simulation experiments to validate the superiority of our proposed algorithm in optimizing energy usage and prolonging network lifetime. © 2014 IEEE.

关键词： Wireless charging

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Remote Sensing Monitoring of Pasture Growth Using the Coherence Characteristics of InSAR technology 2

Remote Sensing Monitoring of Pasture Growth Using the Cohere...

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2nd IEEE International Conference on Signal, information and Data Processing, ICSIDP 2024

作者： Gao, Xian Yang, Xiangli Huang, Pingping Tan, Weixian Wang, Zhiguo Chongqing Jiaotong University School of Information Science and Engineering Chongqing China Inner Mongolia University of Technology College of Information Engineering Hohhot China Inner Mongolia Key Laboratory of Radar Technology and Application Hohhot China

ISBN: (纸本)9798331515669

Grassland resources play a crucial role as significant assets on Earth, exerting vital functions in carbon cycling, soil conservation, water resource management, and climate regulation. However, in recent years, excessive human exploitation and various pest infestations have led to the gradual desertification of existing grasslands. Therefore, it is imperative to conduct real-time monitoring and effective management of these resources. This study employs synthetic aperture radar (SAR) images to monitor and analyze the pasture status in the steppe region. In contrast to conventional monitoring methods, this approach offers a wide monitoring range and an extended observation period. Additionally, it leverages the advantages of SAR data, such as its independence from weather conditions compared to optical imagery. By calculating the coherence index using SAR data and combining it with optical imagery, we analyze the growth conditions of pasture in the study area. The research demonstrates a strong correlation between the variations in coherence index regions and the growth trend of pasture. For the issue of weather interference in optical imagery acquisition, the coherence index derived from SAR imagery can fully substitute for optical imagery in steppe analysis. © 2024 IEEE.

关键词： Radar imaging

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