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Generalized Fourier Transform Pair Codes

IEEE Communications Letters 2025年第5期29卷 933-937页

作者： Lv, Yaping Cai, Suihua Ma, Xiao the School of Computer Science and Engineering and the Guangdong Key Laboratory of Information Security Technology Sun Yat-sen University Guangzhou 510006 China and also with the MoE Key Laboratory of Information Technology Sun Yatsen University Guangzhou 510006 China

This letter is concerned with Fourier transform pair (FTP) codes over finite fields. Given any element of order n in a finite field, we can construct an FTP code with length 2n, dimension n, and minimum distance at least 2 √ n. Distinguishingly, an FTP code defined with any element (if it exists) of order 2, 3 or 5 in a finite field is a maximum distance separable code. In this letter, we extend the FTP codes to generalized FTP (GFTP) codes. To show the superiority of the GFTP codes over the FTP codes, we compute the binary weight spectra of the GFTP codes, approaching more close than the FTP codes to that of the random codes. We also apply the ordered statistic decoding with local constraints (LC-OSD) algorithm to the binary image of GFTP codes. Numerical results show that the GFTP codes perform better than the FTP codes as the code length increases. Numerical results also show that GFTP codes are comparable with existing codes of the same code rate and similar code length. © 2025 IEEE.

关键词： Binary images

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Visible-Infrared Person Re-identification with Real-world Label Noise

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IEEE Transactions on Circuits and systems for Video technology 2025年第5期35卷 4857-4869页

作者： Zhang, Ruiheng Cao, Zhe Huang, Yan Yang, Shuo Xu, Lixin Xu, Min Beijing Institute of Technology State Key Laboratory of Electromechanical Dynamic Control School of Mechatronical Engineering Beijing100081 China Chinese Academy of Sciences New Laboratory of Pattern Recognition State Key Laboratory of Multimodal Artificial Intelligence Systems Institute of Automation Beijing100190 China Harbin Institute of Technology School of Computer Science and Technology Harbin150001 China University of Technology Sydney School of Electrical and Data Engineering Faculty of Engineering and Information Technology UltimoNSW2007 Australia

In recent years, growing needs for advanced security and traffic management have significantly heightened the prominence of the visible-infrared person re-identification community (VI-ReID), garnering considerable attention. A critical challenge in VI-ReID is the performance degradation attributable to label noise, an issue that becomes even more pronounced in cross-modal scenarios due to an increased likelihood of data confusion. While previous methods have achieved notable successes, they often overlook the complexities of instance-dependent and real-world noise, creating a disconnect from the practical applications of person re-identification. To bridge this gap, our research analyzes the primary sources of label noise in real-world settings, which include a) instantiated identities, b) blurry infrared images, and c) annotators' errors. In response to these challenges, we develop a Robust Hybrid Loss function (RHL) that enables targeted recognition and retrieval optimization through a more fine-grained division of the noisy dataset. The proposed method categorises data into three sets: clean, obviously noisy, and indistinguishably noisy, with bespoke loss calculations for each category. The identification loss is structured to address the varied nature of these sets specifically. For the retrieval sub-task, we utilize an enhanced triplet loss, adept at handling noisy correspondences. Furthermore, to empirically validate our method, we have re-annotated a real-world dataset, SYSU-Real. Our experiments on SYSU-MM01 and RegDB, conducted under various noise ratios of random and instance-dependent label noise, demonstrate the generalized robustness and effectiveness of our proposed approach. © 1991-2012 IEEE.

关键词： information management

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Toward next-generation networks: A blockchain-based approach for core network architecture and roaming identity verification

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Digital Communications and Networks 2025年第2期11卷 326-336页

作者： Gong, Yi Yu, Boyuan Yang, Lei Meng, Fanke Liu, Lei Hu, Xinjue Xu, Zhan School of Information and Communication Engineering Beijing Information Science & Technology University Beijing China Xi'an University of Posts and Telecommunications Xi'an China Guangzhou Institute of Technology Xidian University Guangzhou China Intelligent Transportation Systems Research Center Wuhan University of Technology Wuhan China State Key Laboratory of Maritime Technology and Safety Wuhan China

With the evolution of next-generation communication networks, ensuring robust Core Network (CN) architecture and data security has become paramount. This paper addresses critical vulnerabilities in the architecture of CN and data security by proposing a novel framework based on blockchain technology that is specifically designed for communication networks. Traditional centralized network architectures are vulnerable to Distributed Denial of Service (DDoS) attacks, particularly in roaming scenarios where there is also a risk of private data leakage, which imposes significant operational demands. To address these issues, we introduce the Blockchain-Enhanced Core Network Architecture (BECNA) and the Secure Decentralized Identity Authentication Scheme (SDIDAS). The BECNA utilizes blockchain technology to decentralize data storage, enhancing network security, stability, and reliability by mitigating Single Points of Failure (SPoF). The SDIDAS utilizes Decentralized Identity (DID) technology to secure user identity data and streamline authentication in roaming scenarios, significantly reducing the risk of data breaches during cross-network transmissions. Our framework employs Ethereum, free5GC, Wireshark, and UERANSIM tools to create a robust, tamper-evident system model. A comprehensive security analysis confirms substantial improvements in user privacy and network security. Simulation results indicate that our approach enhances communication CNs security and reliability, while also ensuring data security. © 2024

关键词： Differential privacy

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Bistatic ISAR Imaging for Maneuvering Target with Complex Motion based on Phase Retrieval-Assisted ICBA

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IEEE Sensors Journal 2025年第10期25卷 17434-17446页

作者： Shi, Hongyin Yang, Zixin Yang, Ting Liu, Hui Zhao, Tianchi Beijing University of Civil Engineering and Architecture School of Intelligence Science and Technology Beijing Key Laboratory of Super Intelligent Technology for Urban Architecture Beijing100044 China Linyi University School of Information Science and Engineering Linyi276000 China

Compared with monostatic inverse synthetic aperture radar (ISAR), bistatic inverse synthetic aperture radar (Bi-ISAR) avoids the problem of geometric imaging blindness and can obtain more target motion information. However, the complex motion of maneuvering target makes the imaging projection plane (IPP) change continuously, causing 2-D spatial-variant phase errors. To tackle this issue, we propose a bistatic ISAR imaging algorithm based on phase retrieval-assisted image contrast-based focusing algorithm (ICBA). First, this paper establishes the signal model of the bistatic 3-D non-uniformly rotating target and analyzes each phase error term. Then, the ICBA algorithm performs phase coarse compensation by estimating velocity and acceleration. Finally, without parameter estimation and signal modeling, the phase retrieval algorithm can achieve the compensation of 2-D spatial-variant phase errors. The aperture function is utilized to sample the spectrum traversal, recording the low-resolution intensity information in the spatial domain. Alternating iterations with the mapping relation in the frequency domain are used to perform the spectrum reconstruction. Simulation results are conducted with scattering point data and electromagnetic data, and the superiority and robustness of the algorithm are presented in the experimental results. © 2025 IEEE.

关键词： Inverse synthetic aperture radar

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A brief review of preparation and applications of monolithic aerogels in atmospheric environmental purification

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Journal of Environmental sciences 2025年第3期149卷 209-220页

作者： Linfeng Nie Shuangde Li Mengjie Cao Ning Han Yunfa Chen State Key Laboratory of Multiphase Complex Systems Institute of Process EngineeringChinese Academy of SciencesBeijing 100190China Center of Materials Science and Optoelectronics Engineering University of Chinese Academy of SciencesBeijing 100049China Key Laboratory of Science&Technology on Particle Materials Institute of Process EngineeringChinese Academy of SciencesBeijing 100190China

Monolithic aerogels are promising candidates for use in atmospheric environmental purification due to their structural advantages,such as fine building block size together with high specific surface area,abundant pore structure,***,monolithic aerogels possess a unique monolithic macrostructure that sets them apart from aerogel powders and nanoparticles in practical environmental clean-up *** review delves into the available synthesis strategies and atmospheric environmental applications of monolithic aerogels,covering types of monolithic aerogels including SiO_(2),graphene,metal oxides and their combinations,along with their preparation *** particular,recent developments for VOC adsorption,CO_(2)capture,catalytic oxidation of VOCs and catalytic reduction of CO_(2)are ***,challenges and future opportunities for monolithic aerogels in the atmospheric environmental purification field are *** reviewprovides valuable insights for designing and utilizing monolithic aerogel-based functional materials.

关键词： Monolithic aerogel Environmental purification Catalysis Adsorption

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Fabrication of bamboo-inspired continuous carbon fiber-reinforced SiC composites via dual-material thermally assisted extrusion-based 3D printing

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材料科学技术（英文版） 2025年第5期208卷 92-103页

作者： Sai Li Haitian Zhang Zhongliang Lu Fusheng Cao Ziyao Wang Yan Liu Xiaohui Zhu Shuai Ning Kai Miao Shaoyu Qiu Dichen Li State Key Laboratory for Manufacturing Systems Engineering School of Mechanical EngineeringXi'an Jiaotong UniversityXi'an 710049China State Key Laboratory for Manufacturing Systems Engineering School of Mechanical EngineeringXi'an Jiaotong UniversityXi'an 710049China School of Intelligent Manufacturing Modern Industry Xinjiang UniversityUrumqi 830046China Science and Technology on Reactor Fuel and Materials Laboratory Nuclear Power Institute of ChinaChengdu 610213China

Ceramic matrix composites(CMCs)structural components encounter the dual challenges of severe mechanical conditions and complex electromagnetic environments due to the increasing demand for stealth technology in aerospace *** address various functional requirements,this study integrates a biomimetic strategy inspired by gradient bamboo vascular bundles with a novel dual-material 3D print-ing *** distinct bamboo-inspired structural configurations Cf/SiC composites are designed and manufactured,and the effects of these different structural configurations on the CVI process are *** method is utilized to characterize the relationship between interface bonding strength and mechanical *** results reveal that the maximum flexural strength and fracture toughness reach 108.6±5.2 MPa and 16.45±1.52 MPa m1/2,respectively,attributed to the enhanced crack propagation resistance and path caused by the weak fiber-matrix ***,the bio-inspired configuration enhances the dielectric loss and conductivity loss,exhibiting a minimum reflection loss of-24.3 dB with the effective absorption band of 3.89 *** work introduces an innovative biomimetic strategy and 3D printing method for continuous fiber-reinforced ceramic composites,expanding the ap-plication of 3D printing technology in the field of CMCs.

关键词： 3D printing Cf/SiC composites Mechanical properties Electromagnetic wave absorption

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Investigation into enhancing the sensitivity method for monitoring trace erosion product concentration in the ceramic channel of a Hall thruster

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Plasma science and technology 2025年第4期27卷 95-104页

作者： Wei XI Ximing ZHU Bowen ZHENG Zhongxi NING Daren YU School of Energy Science and Engineering Harbin Institute of TechnologyHarbin 150001People’s Republic of China Key Laboratory of Aerospace Plasma Propulsion Ministry of Industry and Information TechnologyHarbin 150001People’s Republic of China

An optical emission spectroscopy(OES)method with a non-invasive measurement capability,without inducing disturbance to the discharge,represents an effective method for material ***,when the OES method is employed to monitor the trace erosion product within the ceramic channel of a Hall thruster,it becomes challenging to distinguish between signal and *** this study,we propose a model filtering method based on the signal characteristics of the Hall thruster plume *** method integrates the slit imaging and spectral resolution features of the *** this method,we extract the spectral signals of the erosion product and working gas from the Hall thruster under different operating *** results indicate that our new method performs comparably to the traditional method without model filtering when extracting atom signals from strong xenon working ***,for trace amounts of the erosion product,our approach significantly enhances the signal-to-noise ratio(SNR),enabling the identification of extremely weak spectral signals even under low mass flow rate and low-voltage *** obtain boron atom concentration of 3.91×10^(-3) kg/m^(3) at a mass flow rate of 4×10^(-7) kg/s and voltage of 200 V while monitoring a wider range of thruster operating *** new method proposed in this study is suitable for monitoring other low-concentration elements,making it valuable for materials processing,environmental monitoring and space propulsion applications.

关键词： model filtering method optical emission spectroscopy Hall thruster advanced actinometry method trace erosion product concentration(Some figures may appear in colour only in the online journal)

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Deep learning-based software engineering: progress,challenges, and opportunities

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science China(information sciences) 2025年第1期68卷 57-144页

作者： Xiangping CHEN Xing HU Yuan HUANG He JIANG Weixing JI Yanjie JIANG Yanyan JIANG Bo LIU Hui LIU Xiaochen LI Xiaoli LIAN Guozhu MENG Xin PENG Hailong SUN Lin SHI Bo WANG Chong WANG Jiayi WANG Tiantian WANG Jifeng XUAN Xin XIA Yibiao YANG Yixin YANG Li ZHANG Yuming ZHOU Lu ZHANG School of Journalism and Communication Sun Yat-sen University School of Software Technology Zhejiang University School of Software Engineering Sun Yat-sen University School of Software Dalian University of Technology School of Computer Science and Technology Beijing Institute of Technology Key Laboratory of High Confidence Software Technologies (Peking University) Ministry of EducationSchool of Computer Science Peking University State Key Laboratory for Novel Software Technology Nanjing University School of Computer Science and Engineering Beihang University Institute of Information Engineering Chinese Academy of Sciences School of Computer Science Fudan University State Key Laboratory of Complex & Critical Software Environment (CCSE) School of Software Beihang University School of Computer and Information Technology Beijing Jiaotong University School of Computer Science and Technology Harbin Institute of Technology School of Computer Science Wuhan University Huawei Technologies

Researchers have recently achieved significant advances in deep learning techniques, which in turn has substantially advanced other research disciplines, such as natural language processing, image processing, speech recognition, and software engineering. Various deep learning techniques have been successfully employed to facilitate software engineering tasks, including code generation, software refactoring, and fault localization. Many studies have also been presented in top conferences and journals, demonstrating the applications of deep learning techniques in resolving various software engineering tasks. However,although several surveys have provided overall pictures of the application of deep learning techniques in software engineering,they focus more on learning techniques, that is, what kind of deep learning techniques are employed and how deep models are trained or fine-tuned for software engineering tasks. We still lack surveys explaining the advances of subareas in software engineering driven by deep learning techniques, as well as challenges and opportunities in each subarea. To this end, in this study, we present the first task-oriented survey on deep learning-based software engineering. It covers twelve major software engineering subareas significantly impacted by deep learning techniques. Such subareas spread out through the whole lifecycle of software development and maintenance, including requirements engineering, software development, testing, maintenance, and developer collaboration. As we believe that deep learning may provide an opportunity to revolutionize the whole discipline of software engineering, providing one survey covering as many subareas as possible in software engineering can help future research push forward the frontier of deep learning-based software engineering more systematically. For each of the selected subareas,we highlight the major advances achieved by applying deep learning techniques with pointers to the available datasets i

关键词： deep learning software engineering software benchmark software artifact representation survey

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Adaptive Human Movement Compensation Control of Supernumerary Robotic Limb for Overhead Support Task With Non-Zero-Sum Differential Game Theory

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IEEE Transactions on Automation science and engineering 2025年 22卷 14159-14170页

作者： Zhang, Jianxi Zeng, Hong Liu, Jia Chen, Dapeng Song, Aiguo Southeast University State Key Laboratory of Digital Medical Engineering Jiangsu Key Laboratory of Robot Sensing and Control School of Instrument Science and Engineering Nanjing210096 China Nanjing University of Information Science and Technology Cicaeet Nanjing210044 China

The supernumerary robotic limb (SRL) mounted on the shoulder has been demonstrated to be able to serve as a third arm to assist human in overhead support task. However, the mechanical connection between the wearer and the SRL means that human operator's movement will continually disturb the SRL and may lead to instability. Moreover, there may be physical conflicts between SRL and human operator due to their different intentions, which may potentially increase the load on human operator. Therefore, it's necessary to control SRL to ensure stable supporting and transparent interaction. Here, we propose an adaptive controller for human movement compensation. Firstly, we model the human-SRL coordinative behavior based on non-zero-sum differential game theory aiming to enhance the support stability and reduce the operator's load, which is a framework capable of dynamically regulating the control strategies between two interacting agents. We then implement an adaptive control strategy that adjusts the SRL's input optimally responsive to the human operator's input in the sense of Nash equilibrium to meet predefined control objectives. From experimental results during overhead support task, the proposed controller reduces the peak reaction force from 15.59 N to 4.50 N compared to the state-of-the-art controller that disregards human input while ensuring the stability of support, thereby providing advantage for human-SRL coordination in overhead support task. Note to Practitioners - To ensure optimal overhead assistance, the stability of the support and the safety of the human operator are of paramount importance. Therefore, this study investigates how to provide stable support and transparent interaction through movement compensation. Previous compensation methods lacked the understanding for the wearer and the optimal adjustment for the control of SRL. Consequently, this paper proposes a non-zero-sum differential game to model the desired behaviors between human operator an

关键词： Adaptive control systems

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Boosting bulk photovoltaic effect in transition metal dichalcogenide by edge semimetal contact

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Light(science & Applications) 2025年第1期14卷 197-205页

作者： Shuang Qiao Jihong Liu Chengdong Yao Ni Yang Fangyuan Zheng Wanqing Meng Yi Wan Philip C.Y.Chow Dong-Keun Ki Lijie Zhang Yumeng Shi Lain-Jong Li Hebei Key Laboratory of Optic-Electronic Information and Materials College of Physics Science and TechnologyHebei University071002BaodingChina Department of Mechanical Engineering The University of Hong KongHong KongChina Department of Physics and HK Institute of Quantum Science&Technology The University of Hong KongHong KongChina Key Laboratory of Carbon Materials of Zhejiang Province College of Chemistry and Materials EngineeringWenzhou UniversityWenzhouChina Key Laboratory of Luminescence and Optical Information Ministry of EducationSchool of Physical Science and EngineeringBeijing Jiaotong University100044BeijingChina

Oxide materials with a non-centrosymmetric structure exhibit bulk photovoltaic effect(BPVE)but with a low cell *** the past few years,relatively larger BPVE coefficients have been reported for two-dimensional(2D)layers and stacks with asymmety-induced spontaneous ***,we report a crucial breakthrough in boosting the BPVE in 3R-MoS2 by adopting edge contact(EC)geometry using bismuth semimetal *** clear contrast to the typically used top contact(TC)geometry,the EC metal which strongly adheres to the edges and the subtrates can induce a pronounced tensile strain to the 3R-MoS2,and the lateral contact geometry allows to completely access to in-plane polarization from underneath layers reachable by light,leading to>100 times of BPVE enhancement in *** further design a 3R-MoS2/WSe2 heterojunction to demonstrate constructive coupling of BPVE with the conventional photovoltaic effect,indicating their potential in photodetectors and photovoltaic devices.

关键词： effect geometry breakthrough

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