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Global optimization of double protograph LDPC codes for JSCC scheme

science China(information sciences) 2024年第6期67卷 455-456页

作者： Qiwang CHEN Chen CHEN Yu-Cheng HE Zhiping XU Xiamen Key Laboratory of Mobile Multimedia Communications College of Information Science and EngineeringHuaqiao University Key Laboratory of Underwater Acoustic Communication and Marine Information Technology (Xiamen University) Ministry of Education School of Ocean Information Engineering Jimei University

A double low-density parity-check (D-LDPC) coding system was proposed in[1]as a typical joint source-channel coding(JSCC) scheme[1–5].In this system,two LDPC coding matrices perform source and channel coding,*** important concept in a D-LDPC coding system is the introduction of a linking matrix between the check nodes (CNs)of the source coding matrix and the variable nodes (VNs) of the channel LDPC coding matrix.

关键词： optimization global scheme ldpc double jscc codes protograph

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Mask-guided Multi-scale Spatial-Spectral Transformer for Snapshot Compressive Imaging

Mask-guided Multi-scale Spatial-Spectral Transformer for Sna...

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International Conference on Acoustics, Speech, and Signal Processing (ICASSP)

作者： Heyuan Yin Jingxiang Yang Jia Liu Liang Xiao School of Computer Science and Engineering Nanjing University of Science and Technology Nanjing China Key Laboratory of Analysis of Mathematical Theory and Modeling of Complex Systems The Ministry of Industry and Information Technology China

ISBN: (数字)9798350368741

ISBN: (纸本)9798350368758

Effectively reconstructing 3D hyperspectral images (HSIs) from 2D measurements presents a significant challenge in Coded Aperture Snapshot Spectral Imaging (CASSI) systems. While recent transformers exhibit potential in HSI reconstruction, they often suffer from inadequate exploration of multi-scale spatial-spectral self-similarity, leading to mean effects and information loss. Additionally, these methods struggle with insufficient modeling of the degradation inherent in the compressive imaging process. To address these issues, we propose a novel Mask-guided Multi-scale Spatial-Spectral Transformer (MMSST). Specifically, we introduce a Degradation Aware Mask Attention (DAMA) module to incorporate degradation information of the compressive imaging process. Furthermore, MMSST leverages Local-Regional SpAtial attention (LRSA) and Global-Regional SpEctral attention (GRSE) to effectively exploit multi-scale self-similarity across spatial and spectral dimensions. Extensive experimental results demonstrate the effectiveness of our MMSST.

关键词： Degradation Three-dimensional displays Computational modeling Imaging Transformer cores Signal processing Transformers Speech processing Image reconstruction Hyperspectral imaging

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Resource Exhaustion Attack Detection Scheme for WLAN Using Artificial Neural Network

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Computers, Materials & Continua 2023年第3期74卷 5607-5623页

作者： Abdallah Elhigazi Abdallah Mosab Hamdan Shukor Abd Razak Fuad A.Ghalib Muzaffar Hamzah Suleman Khan Siddiq Ahmed Babikir Ali Mutaz H.H.Khairi Sayeed Salih Faculty of Engineering Future UniversityKhartoum 10553Sudan Faculty of Computing and Informatics Universiti Malaysia SabahKota Kinabalu88400Malaysia Information Assurance and Security Research School of ComputingUniversiti Teknologi MalaysiaJohor81310Malaysia School of Psychology and Computer Science University of Central LancashirePreston PR12HEUK Deaptement of Management Information Systems College of Administrative ScienceApplied Science UniversityAl Eker623Bahrain Deaptement of Information Technology College of Computer and Information SciencesKing Saud UniversityRiyadh11461Saudi Arabia

IEEE 802.11 Wi-Fi networks are prone to many denial of service(DoS)attacks due to vulnerabilities at the media access control(MAC)layer of the 802.11 *** to the data transmission nature of the wireless local area network(WLAN)through radio waves,its communication is exposed to the possibility of being attacked by illegitimate ***,the security design of the wireless structure is vulnerable to versatile *** example,the attacker can imitate genuine features,rendering classificationbased methods inaccurate in differentiating between real and false *** security standards have been proposed over the last decades to overcome many wireless network attacks,effectively detecting such attacks is crucial in today’s real-world *** paper presents a novel resource exhaustion attack detection scheme(READS)to detect resource exhaustion attacks *** proposed scheme can differentiate between the genuine and fake management frames in the early stages of the attack such that access points can effectively mitigate the consequences of the *** scheme is built through learning from clustered samples using artificial neural networks to identify the genuine and rogue resource exhaustion management frames effectively and efficiently in *** proposed scheme consists of four modules whichmake it capable to alleviates the attack impact more effectively than the related *** experimental results show the effectiveness of the proposed technique by gaining an 89.11%improvement compared to the existing works in terms of detection.

关键词： 802.11 media access control(MAC) wireless local area network(WLAN) artificial neural network denial-of-service(DoS)

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Experimental study on the effect of underwater multiple degradation links on optical signal transmission: Experimental study on the effect of underwater multiple degradation links on optical signal transmission 6

Experimental study on the effect of underwater multiple degr...

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6th International Conference on Artificial Intelligence and Pattern Recognition, AIPR 2023

作者： Zhang, Jianlei Zhang, Pengwei Zhu, Yunzhou Tian, Yuxin School of Electronic Engineering Xi'an University of Posts and Telecommunications Xi'an710121 China Science and Technology on Underwater Information and Control Laboratory Xi'an710077 China

ISBN: (纸本)9798400707674

This paper presents an experimental investigation of the impact of various environmental factors, including temperature, salinity, and air bubbles, on the transmission of optical signals. A reception model was established to capture the degradation of the optical signal as it passes through multiple links. The fading of optical signals passing through different channels was quantified and analyzed. The findings highlight the distinct impacts of temperature, salinity, and air bubbles on the propagation of optical signals. Additionally, the study reveals that turbulence intensity plays a pivotal role in influencing the variability of the normalized amplitude of the received signal. © 2023 ACM.

关键词： Turbulence

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Deep Learning and SVM-Based Approach for Indian Licence Plate Character Recognition

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Computers, Materials & Continua 2023年第1期74卷 881-895页

作者： Nitin Sharma Mohd Anul Haq Pawan Kumar Dahiya B.R.Marwah Reema Lalit Nitin Mittal Ismail Keshta Department of Electronics&Communication Engineering Chandigarh UniversityMohali140413India Department of Computer Science College of Computer and Information SciencesMajmaah University11952Al-MajmaahSaudi Arabia Department of Electronics&Communication Engineering DCRUST Murthal131039India Department of Transportation Engineering IITKanpur208016Uttar PradeshIndia Department of Computer Science Applications PIETSmalkha132102India Skill Faculty of Science and Technology Shri Vishwakarma Skill UniversityPalwal121102India Computer Science and Information Systems Department College of Applied SciencesAlMaarefa UniversityRiyadhSaudi Arabia

Every developing country relies on transportation,and there has been an exponential expansion in the development of various sorts of vehicles with various configurations,which is a major component strengthening the automobile *** is a developing country with increasing road traffic,which has resulted in challenges such as increased road accidents and traffic oversight *** the lack of a parametric technique for accurate vehicle recognition,which is a major worry in terms of reliability,high traffic density also leads to mayhem at checkpoints and toll plazas.A system that combines an intelligent domain approach with more sustainability indices is a better way to handle traffic density and transparency *** Automatic Licence Plate Recognition(ALPR)system is one of the components of the intelligent transportation system for traffic *** study is based on a comprehensive and detailed literature evaluation in the field of *** major goal of this study is to create an automatic pattern recognition system with various combinations and higher accuracy in order to increase the reliability and accuracy of identifying digits and alphabets on a car *** research is founded on the idea that image processing opens up a diverse environment with allied fields when employing distinct soft techniques for *** properties of characters are employed to recognise the Indian licence plate in this *** licence plate recognition,more than 200 images were analysed with various parameters and soft computing techniques were *** comparison to neural networks,a hybrid technique using a Convolution Neural Network(CNN)and a Support Vector Machine(SVM)classifier has a 98.45%efficiency.

关键词： Intelligent transportation system automatic license plate recognition system neural network random forest convolutional neural network support vector machine

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LESaET: Low-Dimensional Embedding Method for Link Prediction Combining Self-Attention and Enhanced-TuckER

LESaET: Low-Dimensional Embedding Method for Link Prediction...

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

作者： Ding, Lichao Zhao, Jing Lu, Kai Hao, Zenghao Key Laboratory of Computing Power Network and Information Security Ministry of Education Shandong Computer Science Center Jinan China Shandong Engineering Research Center of Big Data Applied Technology Faculty of Computer Science and Technology Jinan China Shandong Provincial Key Laboratory of Computer Networks Shandong Fundamental Research Center for Computer Science Jinan China

ISBN: (纸本)9781665410205

Knowledge graphs (KGs) provide a structured representation of the real world through entity-relation triples. However, current KGs are often incomplete, typically containing only a small fraction of all possible facts. This involves inferring missing content from existing information, a task known as link prediction. Existing methods in the field of link prediction struggle with controlling the dimensionality of embedding vectors or suffer from overly complex models. In order to tackle these challenges, we introduce a method in this paper, named Low-Dimensional Embedding Method for Link Prediction Combining Self-Attention and Enhanced-TuckER (LESaET). LESaET leverages both self-attention mechanisms and tensor factorization to learn expressive contextual-enhanced representations of KGs. Specifically, LESaET employs the multi-head self-attention mechanism of Transformer as an encoder to capture the mutual information between entities and relationships, and utilizes Enhanced-TuckER as a decoder, ultimately achieving expressive low-dimensional embeddings for link prediction tasks. LESaET demonstrates competitive performance compared to advanced methods on standard datasets. © 2024 IEEE.

关键词： Prediction models

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Analysis on Simultaneous Localization and Mapping of Mobile Robot Based on Two Multi-sensor Fusion Algorithm 11

Analysis on Simultaneous Localization and Mapping of Mobile ...

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11th Joint International information technology and Artificial Intelligence Conference, ITAIC 2023

作者： Zhang, Yijing Liu, Jia Zhao, Ya Hou, Linlin Zhang, Yunxi School of Automation and Electrical Engineering Tianjin University of Technology and Education Tianjin China Tianjin University of Technology and Education Tianjin Key Laboratory of Information Sensing and Intelligent Control Tianjin China School of Information Science and Engineering Qufu Normal University Rizhao China

ISBN: (纸本)9798350333664

This paper studies the problem of simultaneous localization and autonomous mapping of mobile machines, based on multiple sensor fusion SLAM algorithms. This method can solve the problem that the feature information of the collected image is not accurate or lost when a single laser or vision sensor is used in simultaneous localization and mapping (SLAM) research of mobile robots, which leads to localization failure. First, combining LIO-SAM algorithm and LVI-SAM algorithm, the simulation and construction of large scene maze environment are carried out for the mobile robot equipped with Lidar and depth camera. Then through the experimental simulation, the map built by the two algorithms is compared and analyzed. The results show that the map built by LID-SAM algorithm is more accurate in the maze environment with fewer feature points, and the map building effect is obviously better than that of LVI-SAM algorithm. © 2023 IEEE.

关键词： LIO-SAM algorithm multi-sensor fusion simulation mapping simultaneous localization and mapping

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A Multilayered Magnetoelectric Transmitter with Suppressed Nonlinearity for Portable VLF Communication

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Research 2024年第2期2023卷 553-563页

作者： Zhaoqiang Chu Zhineng Mao Kaixin Song Shizhan Jiang Shugang Min Wei Dan Chenyuan Yu Meiyu Wu Yinghui Ren Zhichao Lu Jie Jiao Tianxiang Nan Shuxiang Dong Qingdao Innovation and Development Base Harbin Engineering UniversityQingdao 266071China College of Underwater Acoustics Engineering Harbin Engineering UniversityHarbin 150001China Songshan Lake Materials Laboratory DongguanGuangdong 523808 China Shanghai Institute of Ceramics Chinese Academy of SciencesShanghai 201800China School of Integrated Circuits and Beijing National Research Center for Information Science and Technology(BNRist) Tsinghua UniversityBeijing 100084China College of Engineering Peking UniversityBeijing 100871China

Acoustically actuated magnetoelectric(ME)antenna based on the efficient oscillation of magnetic dipoles has recently been considered as a promising solution for portable very-low-frequency ***,the severe nonlinear dynamic behavior in the case of strong-field excitation results in insufficient radiation capability and poor communication performance for a conventional ME *** this work,we propose to suppress the nonlinearity of an ME antenna by neutralizing the spring-hardening effect in amorphous Metglas and the spring-softening effect in piezoelectric ceramics through an ME multilayered transmitter(ME-MLTx)*** a driving voltage of 50 V_(pp)at the resonance frequency of 21.2 kHz,a magnetic flux density as high as 108 fT at a distance of 100 m is produced from a single *** addition,ME-MLTx performs a decreased mechanical quality factor(Q_(m))less than 40.65,and,thus,a broadened bandwidth of 500 Hz is ***,a communication link transmitting binary American Standard Code for information Interchange-coded message is built,which allows for an error-free communication with a distance of 18 m and a data rate of 300 bit/s in the presence of heavy environment *** communication distance can be further estimated over 100 m when using a femtotesla-class-inductive magnetic field *** obtained results are believed to bring ME antennas one step closer to being applicable in very-low-frequency communications.

关键词： closer nonlinearity inductive

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8.2%-Efficiency hydrothermal Sb_(2)S_(3) thin film solar cells by two-step RTP annealing strategy

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science China Materials 2024年第11期67卷 3666-3674页

作者： Hui Deng Xinxin Feng Qiqiang Zhu Yonghao Liu Guidong Wang Caixia Zhang Qiao Zheng Jionghua Wu Weihuang Wang Shuying Cheng College of Physics and Information Engineering Institute of Micro-Nano Devices and Solar CellsFuzhou UniversityFuzhou 350108China Fujian Science&Technology Innovation Laboratory for Optoelectronic Information of China Fuzhou 350108China Jiangsu Collaborative Innovation Center of Photovoltaic Science and Engineering Changzhou 213164China

Antimony sulfide(Sb_(2)S_(3))solar cells fabricated via hydrothermal deposition have attracted widespread *** annealing crystallization process plays a crucial role in achieving optimal crystallinity in hydrothermal Sb_(2)S_(3)thin ***,incomplete crystallization and the loss of sulfur at high-temperature contribute to defect recombination,constraining device ***,a twostep rapid thermal processing(RTP)annealing strategy is proposed to improve the crystal quality and efficiency of Sb_(2)S_(3)solar *** annealing process in Ar protection with atmospheric pressure can suppress S loss caused by saturated vapor *** two-step RTP annealing with the 330℃ low-temperature and 370℃ high-temperature process ensures high crystallinity and vertical orientations of Sb_(2)S_(3)thin films,accompanied by a reduction in defect concentration from 1.01×10^(12)to 5.97×10^(11)cm^(-3).The Sb_(2)S_(3)solar cell achieves an efficiency of 8.20%with an enhanced open circuit voltage(VOC)of 784 *** build-in voltage(Vbi)of 1.17 V and irradiation-dependent ideal factor(n)of 1.48 demonstrate enhanced heterojunction quality and suppressed defect recombination in the *** presented two-step annealing strategy and physical mechanism study will open new prospects for high-performance Sb_(2)S_(3)solar cells.

关键词： Sb_(2)S_(3) solar cells hydrothermal two-step annealing defect passivation

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Revealing the single-shot pulse evolution dynamics in a CW-seeded femtosecond optical parametric generator

Revealing the single-shot pulse evolution dynamics in a CW-s...

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2023 Conference on Lasers and Electro-Optics, CLEO 2023

作者： Wang, Jue Cai, Yu Fan, Jintao Hu, Minglie Ultrafast Laser Laboratory Key Laboratory of Opto-electronic Information Science and Technology of Ministry of Education School of Precision Instruments and Opto-electronics Engineering Tianjin University Tianjin300072 China

We demonstrate for the first time the round-trip pulse evolutions dynamics in a CW-seeded femtosecond optical parametric generator utilizing the dispersive temporal interferometer technique. © Optica Publishing G...

ISBN: (纸本)9781957171258

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