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2023 SAR in Big Data Era, BIGSARDATA 2023

作者： Feng, Xiaolin Tian, Sirui Abhadiomhen, Stanley Ebhohimhen Xu, Zhiyong Shen, Xiang-Jun Wang, Jing Wang, Chao School of Electronic and Optical Engineering Nanjing University of Science and Technology Nanjing210094 China School of Computer Science and Communication Engineering Jiangsu University Zhenjiang212013 China University of Nigeria Department of Computer Science Nsukka410001 Nigeria Aerospace Information Research Institute Chinese Academy of Sciences Key Laboratory of Digital Earth Science Beijing100094 China

ISBN: (纸本)9798350326239

Synthetic Aperture Radar (SAR) images often suffer from inherent speckle noise that can significantly degrades their quality, and makes it difficult to identify important targets or extract useful information from them. To solve this problem, a novel SAR image despeckling model called HM-SIDLR is proposed, which can suppress noise and preserve image edges from low-rank residues simultaneously. Specifically, our method considers that there is some structural information discarded as noise in residues. Therefore, we construct a hierarchical model to extract more edge details which can compensate for the over-smoothing problem caused by removing most of the speckle noise in the low-rank part. So as to learn the information from the edge subspace, a tunable prior knowledge matrix is designed, allowing for differentiation between clean and noisy pixels. Experimental results with the Virtual SAR dataset indicate that HM-SIDLR can achieve comparable despeckling performance to the state-of-the-art (SOTA) results. © 2023 IEEE.

关键词： Synthetic aperture radar

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A Spatiotemporal Analysis of Age of information at V2X-enabled Intersection 23

A Spatiotemporal Analysis of Age of Information at V2X-enabl...

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23rd IEEE International Conference on High Performance Computing and Communications, 7th IEEE International Conference on Data Science and Systems, 19th IEEE International Conference on Smart City and 7th IEEE International Conference on Dependability in Sensor, Cloud and Big Data Systems and Applications, HPCC-DSS-SmartCity-DependSys 2021

作者： Wang, Yaying Tan, Guoping Zhou, Siyuan Yang, Dengsong Ni, Baili Hohai University Key Laboratory of Water Big Data Technology of Ministry of Water Resources Nanjing China College of Computer and Information Hohai University Nanjing China Jiangsu Intelligent Transportation and Intelligent Driving Research Institute Nanjing China Jiangsu Expressway Company Limited China

ISBN: (纸本)9781665494571

Ensuring the freshness of information is of importance to autonomous vehicles at vehicle-to-everything (V2X)-enabled intersection. In this paper we theoretically investigate the Age of information (AoI) at V2X-enabled suburban intersections and urban intersections. Specifically, we model the locations of connected vehicles by using stochastic geometry and consider a last-come first-serve discipline with preemption. Then we analyze the moments and distribution of the conditional successful probability and the conditional average AoI. Finally, we obtain the moments and the distribution of conditional average AoI. The accuracy of theoretical derivation is verified via simulations. Our numerical results show the influence of different parameters on the average AoI and the theoretical analysis provides a useful guideline for further system design. © 2021 IEEE.

关键词： Transmitters Smart cities Roads Stochastic processes Receivers information age Spatiotemporal phenomena

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Low-Rank Representation Based Model for Sar Image Denoising and Edge-Preserving

Low-Rank Representation Based Model for Sar Image Denoising ...

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2023 SAR in Big Data Era, BIGSARDATA 2023

作者： Zhang, Tianyi Tian, Sirui Abhadiomhen, Stanley Ebhohimhen Xu, Zhiyong Shen, Xiang-Jun Wang, Jing Wang, Chao School of Electronic and Optical Engineering Nanjing University of Science and Technology Nanjing210094 China School of Computer Science and Communication Engineering Jiangsu University Zhenjiang212013 China University of Nigeria Department of Computer Science Nsukka410001 Nigeria Aerospace Information Research Institute Chinese Academy of Sciences Key Laboratory of Digital Earth Science Beijing100094 China

ISBN: (纸本)9798350326239

Synthetic aperture radar imaging is a powerful remote sensing technology, but its images are often degraded by speckle noise, reducing quality. In recent years, speckle reduction has become a hot topic in SAR research, with various methods emerging. However, traditional low-rank SAR denoising causes edge blurring and loss of important features. To address this, we propose a new approach using prior knowledge to distinguish noise pixels from edges. By separating low-rank residuals and effectively extracting edge information, our method outperforms others, generating noise-suppressed SAR images while retaining features. Experiments demonstrate the effectiveness of our approach. © 2023 IEEE.

关键词： Synthetic aperture radar

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On Performance of Cooperative V2X Communication with Vehicular Platoon Systems 23

On Performance of Cooperative V2X Communication with Vehicul...

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作者： Zhou, Siyuan Wu, Qianqian Tan, Guoping Yang, Dengsong Ni, Baili College of Computer and Information Hohai University Nanjing China Jiangsu Intelligent Transportation and Intelligent Driving Research Institute Nanjing China Hohai University Key Laboratory of Water Big Data Technology of Ministry of Water Resources Nanjing China Jiangsu Expressway Company Limited China

ISBN: (纸本)9781665494571

With the development of intelligent traffic system, it is critical to use vehicle platooning to improve the safety and efficiency of vehicles. Vehicle-to-everything (V2X) communication technology is the key to guarantee the stability of platooning and cooperative communication technique can be leveraged to improve the communication coverage. In this paper, we first constructed an Amplify-and-forward (AF) relay communication network for vehicular platooning where the base station (BS) or the road side unit (RSU) can be selected as the relay node. Then, we carried out the performance analysis of the communication success probability by using stochastic geometry. The distribution of the locations of vehicles and RSUs is modeled by Poisson line process (PLP) and the spatial layout of BSs is modeled by a 2D Poisson point process (PPP). The BS or RSU is selected as the relay node according to their location. By deriving the association probability to BS or RSU, we derive the analytical solution of the success probability of the system. Simulation results verify our analysis and reveal the impact of the system parameters on the relay network performance. © 2021 IEEE.

关键词： Smart cities Simulation Roads Vehicle driving Stochastic processes Stability analysis Topology

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Tourist Attraction Recommendation System Based on Django and Collaborative Filtering 1st

Tourist Attraction Recommendation System Based on Django and...

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1st International Conference on Applied Intelligence, ICAI 2023

作者： Jiang, Yufeng Zhang, Yushu Li, Zhujun Yu, Wendong Wei, Hongwei Yuan, Lin Shandong Jinan250353 China Shandong Jinan250353 China Shandong Provincial Key Laboratory of Computer Networks Shandong Fundamental Research Center for Computer Science Shandong Jinan250353 China School of Art Nantong University Jiangsu Nantong226019 China Jinan Springs Patent and Trademark Office Shandong Jinan250014 China Shandong Tianyi Information Technology Co. Ltd. Jinan Shandong250101 China

ISBN: (纸本)9789819708260

Recently, with the development of social and economic levels and people's pursuit of quality of life, tourism has become the first choice for more and more people. However, the traditional travel agency-based tourism method has also begun to expose some problems. However, with the development of machine learning and big data technology, personalized recommendation systems have become more and more important, which also provides us with new ideas to solve this problem. This paper therefore explores the application of spatial clustering algorithm and collaborative filtering algorithm in tourist attraction recommendation. This algorithm can not only mine the geographical location information of tourist attractions, but also analyze and study the data connections between users and attractions, and use these data to make personalized recommendations, providing more considerate and convenient services for travel planning. © The Author(s), under exclusive license to Springer Nature Singapore Pte Ltd. 2024.

关键词： Collaborative filtering

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A New and Efficient Dormitory Management System 1st

A New and Efficient Dormitory Management System

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1st International Conference on Applied Intelligence, ICAI 2023

作者： Meng, Boyuan Zhang, Yushu Li, Zhujun Yu, Wendong Wei, Hongwei Yuan, Lin Shandong Jinan250353 China Shandong Jinan250353 China Shandong Provincial Key Laboratory of Computer Networks Shandong Fundamental Research Center for Computer Science Shandong Jinan250353 China School of Art Nantong University Jiangsu Nantong226019 China Jinan Springs Patent and Trademark Office Shandong Jinan250014 China Shandong Tianyi Information Technology Co. Ltd. Shandong Jinan250101 China

ISBN: (纸本)9789819708260

Today’s information trend is unstoppable, and the manual management mode of college dormitory management cannot meet the trend of increasing demand for dormitories year by year. It not only wastes many manpower and material resources, but also is easy to appear many unnecessary low-level errors. A system about student dormitory management not only saves many unnecessary repeated working time, but also reduces the generation of various low - level errors in information management, which makes the grasp and operation of information more convenient. The system adopts B/S architecture (browser / server architecture), mainly based on the development and implementation of JAVA language. The system has 3 user roles: administrator, student, and host administrator. The functional module of the administrator includes user management, student management, dormitory management, grade management and authority management, which can realize the management of dormitory information and other information. Students’ function module includes student personal details management, online pre-selection dormitory and view of absence records, students can pre-select the dormitory, and view personal information and absence information. The dormitory manager function module includes dormitory management, pre-selection setting and absence management, dormitory details management and absence management, and pre-selection time settings. After testing, the college dormitory management system can effectively realize the above functions and is interface friendly and easy to operate. © The Author(s), under exclusive license to Springer Nature Singapore Pte Ltd. 2024.

关键词： Students

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Intelligent Detection of Hypokalemia Based on 12-Lead ECG Using Two-stream Deep Learning Model 15

Intelligent Detection of Hypokalemia Based on 12-Lead ECG Us...

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15th International Congress on Image and Signal processing, BioMedical Engineering and Informatics, CISP-BMEI 2022

作者： Wang, Yueyi Zhong, Gaoyan Wang, Ya'nan Zhu, Qiang Xie, Jiayong Deng, Xintao Wang, Aiguo Yang, Cuiwei School of Information Science and Technology Fudan University Center for Biomedical Engineering Shanghai China Xinghua City People's Hospital Jiangsu China The Key Laboratory of Medical Imaging Computing and Computer Assisted Intervention of Shanghai Shanghai China

ISBN: (数字)9781665488877

ISBN: (纸本)9781665488877

Hypokalemia is one of the most common electrolyte disorders in clinic. The detection of hypokalemia mainly depends on the detection of serum potassium concentration. Previous studies have shown that with the decrease of serum potassium ion concentration, ECG will show corresponding characteristics. In this paper, 12-lead ECG is used for intelligent detection of hypokalemia. After six artificial features based on ECG are extracted, a two-stream deep learning model is trained by using these features and 12-lead ECG to detect hypokalemia. The AVC of the two-stream model on the verification set is 0.84, and the AVC on the test set is 0.82. After taking the best working point, on the verification set, the sensitivity is 81.45%, the specificity is 74.21 %, and the recognition accuracy is 77.82%, while on the test set, the sensitivity is 77.54%, the specificity is 74.28%, and the recognition accuracy is 75.91 %. The results show that these time-domain features can significantly improve the recognition accuracy of hypokalemia. © 2022 IEEE.

关键词： Electrocardiograms

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HSI-MFormer: Integrating Mamba and Transformer Experts for Hyperspectral Image Classification

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IEEE Transactions on Geoscience and Remote Sensing 2025年 63卷

作者： He, Yan Tu, Bing Liu, Bo Li, Jun Plaza, Antonio Institute of Optics and Electronics State Key Laboratory Cultivation Base of Atmospheric Optoelectronic Detection and Information Fusion Jiangsu International Joint Laboratory on Meteorological Photonics and Optoelectronic Detection Jiangsu Engineering Research Center for Intelligent Optoelectronic Sensing Technology of Atmosphere Nanjing University of Information Science and Technology Nanjing210044 China China University of Geosciences Faculty of Computer Science Wuhan430074 China University of Extremadura Hyperspectral Computing Laboratory Department of Technology of Computers and Communications Escuela Politecnica 10003 Spain

Hyperspectral image (HSI) classification is fundamental to numerous remote sensing applications, enabling detailed analysis of material properties and environmental conditions. Recent Mamba built upon selective state space models (SSMs) (S6) have demonstrated exceptional advantages in long-range sequence modeling with linear computational efficiency, while Transformer based on self-attention mechanisms is particularly adept at capturing short-range dependencies. To leverage the complementary strengths of these models, this article introduces a novel hybrid Mamba-Transformer framework (HSI-MFormer), effectively exploring the multiscale properties of hyperspectral data for HSI classification. Initially, a multiscale token generation (MTG) module is developed, which converts the HSI cube into multiple spatial-spectral token groups across different scales. To adequately capture fine-grained multiscale spatial-spectral patterns, an inner-scale transformer expert (ITE) is designed, which incorporates grouped self-attention operations to perform short-range sequence modeling within token groups at each scale. Meanwhile, a cross-scale Mamba expert (CME) is introduced, which integrates a cross-scale serialization mechanism and bidirectional Mamba block for long-range sequence modeling, further exploring the interactions and complementarity between token groups across different scales. Several hybrid strategies for integrating the ITE and CME are investigated to maximize their complementarity, including parallel, interval, and serial structures. Extensive experiments demonstrate that the proposed HSI-MFormer significantly outperforms the state-of-the-art Transformer-based and Mamba-based HSI classification methods. © 1980-2012 IEEE.

关键词： Image classification

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Product Ownership Transfer Scheme of RFID-Enabled Supply Chain Based on Blockchain

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Tien Tzu Hsueh Pao/Acta Electronica Sinica 2025年第2期53卷 451-459页

作者： Lu, Qi-Peng Liu, Ya-Li Liu, Chang-Geng Zeng, Cong-Ai Chen, Dong-Dong Ning, Jian-Ting College of Computer Science and Technology Jiangsu Normal University Jiangsu Xuzhou221116 China Guangxi Key Laboratory of Cryptography and Information Security Guilin University of Electronic Technology Guangxi Guilin541004 China School of Cyber Science and Engineering Wuhan University Hubei Wuhan430072 China Faculty of Data Science City University of Macau 999078 China

Transferring product to the entity which is not trusted by the administrator may lead to some problems, such as product counterfeiting, smuggling, product loss, and privacy leaking, etc. Therefore, in this paper, a product transfer scheme named BPOTS in RFID-enabled supply chain based on blockchain is proposed. Firstly, this paper proposes a secret value sharing and verification algorithm based on Chinese remainder theorem and Pedersen commitment to achieve the transfer of products between the designated new owner sets. And in order to improve system efficiency, we propose a method for the transfer of products in batches based on the homomorphism of Pedersen commitment. Secondly, to balance the transparency and privacy of the supply chain, this paper proposes a pseudo ID generation algorithm based on symmetric encryption. Thirdly, security analysis and performance evaluation are conducted on the BPOTS scheme. The result shows that BPOTS strikes a balance between the transparency and privacy of the supply chain effectively and improves the efficiency of transferring product for about 12 times compared with the existing product ownership transfer schemes. Finally, the BPOTS scheme is implemented on ChainMaker platform and made available as open-source on Github. The testing result indicates that the efficiency of transferring product in BPOTS scheme is about 70.4% higher than that of transferring products in series. Moreover, BPOTS scheme reduces the costs of supply chain nodes effectively. © 2025 Chinese Institute of Electronics. All rights reserved.

关键词： blockchain Chinese remainder theorem ownership transfer Pedersen commitment RFID-enabled supply chain

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A CPK-Based Identity Authentication Scheme for IoT

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computer Systems Science & Engineering 2022年第3期40卷 1217-1231页

作者： Mingming Zhang Jiaming Mao Yuanyuan Ma Liangjie Xu Chuanjun Wang Ran Zhao Zhihao Li Lu Chen Wenbing Zhao State Grid Jiangsu Electric Power Co. Ltd.Information&Telecommunication BranchNanjing210008China State Grid Key Laboratory of Information&Network Security Institute of Information and CommunicationGlobal Energy Interconnection Research InstituteNanjing210003China Anhui Jiyuan Software Co.Ltd SGITGHefei230088China Engineering Research Center of Post Big Data Technology and Application of Jiangsu Province Research and Development Center of Post Industry Technology of the State Posts Bureau(Internet of Things Technology)Engineering Research Center of Broadband Wireless Communication Technology of the Ministry of EducationNanjing University of Posts and TelecommunicationsNanjing210003China Department of Electrical Engineering and Computer Science Cleveland State UniversityCleveland44115USA

As the power Internet of Things(IoT)enters the security construction stage,the massive use of perception layer devices urgently requires an identity authentication scheme that considers both security and *** existing public key infrastructure(PKI)-based security authentication scheme is currently difficult to apply in many terminals in *** key distribution and management costs are high,which hinders the development of power IoT security *** Public key(CPK)technology uses a small number of seeds to generate unlimited public *** is very suitable for identity authentication in the power Internet of *** this paper,we propose a novel identity authentication scheme for power *** scheme combines the physical unclonable function(PUF)with improved CPK technology to achieve mutual identity authentication between power IoT terminals and *** proposed scheme does not require third-party authentication and improves the security of identity authentication for power ***,the scheme reduces the resource consumption of power IoT *** improved CPK algorithm solves the key collision problem,and the third party only needs to save the private key and the public key *** results show that the amount of storage resources occupied in our scheme is *** proposed scheme is more suitable for the power IoT.

关键词： Power Internet of Things terminal equipment identity authentication CPK PUF

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