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24th International Conference on Algorithms and Architectures for Parallel Processing, ICA3PP 2024

作者： Zhang, Jiao Li, Xiong Liang, Wei School of Computer Science and Engineering Hunan University of Science and Technology Xiangtan411201 China School of Computer Science and Engineering University of Electronic Science and Technology of China Chengdu611731 China

ISBN: (纸本)9789819615445

Federated Learning (FL) provides a valuable framework that allows for the collaborative training of models across distributed networks while maintaining the privacy of the data involved. The concept of secure aggregation is crucial in preserving both the privacy and integrity of data within FL systems. However, the deployment of secure aggregation encounters significant barriers. Conventional secure aggregation methods are primarily designed for single-round operations, which can become prohibitively expensive in scenarios that require multiple rounds. Additionally, these methods often struggle in large-scale environments characterized by heterogeneous data and models. This paper introduces the Multiple-Round Aggregation of Abstract Semantics (MRAAS), a novel scheme designed to address the aforementioned limitations in secure aggregation within heterogeneous FL environments. The MRAAS scheme enhances security and reduces the need for extensive data exchanges by aggregating abstracted model semantics instead of raw model gradients, facilitating secure, multiple rounds of aggregation. Key innovations of MRAAS include an advanced abstraction technique, robustness against participant drop-out, and the use of recyclable secrets. These innovations collectively enhance system resilience and reduce the necessity for frequent cryptographic renewals. Our theoretical evaluations focus on the security features of MRAAS. Empirical validations conducted through comparative analyses utilizing two public datasets confirm the superiority of MRAAS. © The Author(s), under exclusive license to Springer Nature Singapore Pte Ltd. 2025.

关键词： Federated learning

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Principle of subtraction ghost imaging in scattering medium

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Chinese Physics B 2023年第6期32卷 250-254页

作者：付芹白艳锋谭威黄贤伟南苏琴傅喜泉 College of Computer Science and Electronic Engineering Hunan UniversityChangsha 410082China School of Computer and Information Engineering Hunan University of Technology and BusinessChangsha 410205China

Scattering medium in light path will cause distortion of the light field,resulting in poor signal-to-noise ratio(SNR)of ghost *** disturbance is usually eliminated by the method of *** deduce the intensity fluctuation correlation function of the ghost imaging with the disturbance of the scattering medium,which proves that the ghost image consists of two correlated results:the image of scattering medium and the target *** effect of the scattering medium can be eliminated by subtracting the correlated result between the light field after the scattering medium and the reference light from ghost image,which verifies the theoretical *** research may provide a new idea of ghost imaging in harsh environment.

关键词： ghost imaging image reconstruction techniques scattering medium

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Analysis of GC×GC fingerprints from medicinal materials using a novel contour detection algorithm:A case of Curcuma wenyujin

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Journal of Pharmaceutical Analysis 2024年第4期14卷 542-551页

作者： Xinyue Yang Yingyu Sima Xuhuai Luo Yaping Li Min He Department of Pharmaceutical Engineering School of Chemical EngineeringXiangtan UniversityXiangtanHunan411105China Molecular Science and Biomedicine Laboratory(MBL) State Key Laboratory of Chemo/Biosensing and ChemometricsCollege of Chemistry and Chemical EngineeringAptamer Engineering Center of Hunan ProvinceHunan UniversityChangsha410082China Department of Quality Control Xiangtan Central HospitalXiangtanHunan411100China

This study introduces an innovative contour detection algorithm,PeakCET,designed for rapid and efficient analysis of natural product image fingerprints using comprehensive two-dimensional gas chromatogram(GC×GC).This method innovatively combines contour edge tracking with affinity propagation(AP)clustering for peak detection in GC×GC fingerprints,the first in this *** edge tracking signif-icantly reduces false positives caused by“burr”signals,while AP clustering enhances detection accuracy in the face of false *** efficacy of this approach is demonstrated using three medicinal products derived from Curcuma *** not only performs contour detection but also employs inter-group peak matching and peak-volume percentage calculations to assess the compositional similarities and differences among various ***,this algorithm compares the GC×GC fingerprints of Radix/Rhizoma Curcumae Wenyujin with those of products from different botanical *** findings reveal that genetic and geographical factors influence the accumulation of secondary metabolites in various plant *** sample exhibits unique characteristic components alongside common ones,and vari-ations in content may influence their therapeutic *** research establishes a foundational data-set for the quality assessment of Curcuma products and paves the way for the application of computer vision techniques in two-dimensional(2D)fingerprint analysis of GC×GC data.

关键词： GC×GC Image fingerprints Contour detection Clustering of mass spectra Curcuma products

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Hard-carbon hybrid Li-ion/metal anode enabled by preferred mesoporous uniform lithium growth mechanism

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Journal of Energy Chemistry 2024年第1期88卷 252-259,I0006页

作者： Fang Yan Yan Liu Yuan Li Yan Wang Zicen Deng Meng Li Zhenwei Zhu Aohan Zhou Ting Li Jingyi Qiu Gaoping Cao Shaobo Huang Biyan Wang Hao Zhang School of Chemistry and Biological Engineering University of Science and TechnologyBeijing 100083China Research Institute of Chemical Defense Beijing 100191China College of Physics and Engineering Henan University of Science and TechnologyLuoyang 471023HenanChina National Base for International Science&Technology Cooperation School of ChemistryXiangtan UniversityXiangtan 411105HunanChina Materials and Manufacturing Department Beijing University of TechnologyBeijing 100124China

To achieve high energy density in lithium batteries,the construction of lithium-ion/metal hybrid anodes is a promising *** particular,because of the anisotropy of graphite,hybrid anode formed by graphite/Li metal has low transport kinetics and is easy to causes the growth of lithium dendrites and accumulation of dead Li,which seriously affects the cycle life of batteries and even causes safety ***,by comparing graphite with two types of hard carbon,it was found that hybrid anode formed by hard carbon and lithium metal,possessing more disordered mesoporous structure and lithophilic groups,presents better *** indicate that the mesoporous structure provides abundant active site and storage space for dead *** the synergistic effect of this structure and lithophilic functional groups(–COOH),the reversibility of hard carbon/lithium metal hybrid anode is maintained,promoting uniform deposition of lithium metal and alleviating formation of lithium *** hybrid anode maintains a 99.5%Coulombic efficiency(CE)after 260 cycles at a specific capacity of 500 m Ah/*** work provides new insights into the hybrid anodes formed by carbon-based materials and lithium metal with high specific energy and fast charging ability.

关键词： Hard carbon/Li metal hybrid anode Mesoporous structure Surface oxygen functional group Fast charging Lithium batteries

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An Improved Residual Network for Bearing Fault Diagnosis in Strong Noise Background 1

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TEPEN International Workshop on Fault Diagnostics and Prognostics, TEPEN-IWFDP 2024

作者： Zhao, Zhilei Tao, Jie Yang, Dalian Jiang, Heyuan Cao, Zhihui Yang, Piao School of Computer Science and Engineering Hunan University of Science and Technology Xiangtan411201 China Hunan Provincial Key Laboratory of Health Maintenance for Mechanical Equipment Hunan University of Science and Technology Xiangtan411201 China

ISBN: (数字)9783031694837

ISBN: (纸本)9783031694820

In bearing fault diagnosis, the residual network has achieved certain results. However, in strong noise environment, the fault diagnosis accuracy of traditional residual network is not high. Therefore, this article proposes an improved residual network with multi-channel (MCRN). In MCRN, each layer establishes a directly connection with input data, and forming a multi-channel feature extraction mode. Then, we design the multi-channel integration algorithm to extract fault features of signals. Thereby MCRN can obtain more complete fault information from input data. Experiments are conducted on the IMS datasets, and the effectiveness of MCRN is demonstrated. Compared with traditional methods, when the signal-to-noise ratio reaches −4 db, the accuracy of MCRN keeps over 95%. © The Author(s), under exclusive license to Springer Nature Switzerland AG 2024.

关键词： Bearing Fault Diagnosis Integration Aggregation Multi-channel Residual Network

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Edge Caching Placement Optimization for Improving User Experience 24

Edge Caching Placement Optimization for Improving User Exper...

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2024 2nd International Conference on Internet of Things and Cloud Computing technology, IoTCCT 2024

作者： Luo, Jian Tang, Bing Liu, Yu Yang, Qing School of Computer Science and Engineering Hunan University of Science and Technology Hunan Xiangtan China School of Computer Science Guangzhou Maritime University Guangdong Guangzhou China

ISBN: (纸本)9798400710148

In recent years, the rapid expansion of short video services has led to a surge in internet traffic from mobile devices. Transferring a large volume of popular videos from centralized cloud servers to edge data centers or edge servers can incur significant expenses for these providers, highlighting the importance of a well-defined edge cache placement strategy. This paper explores into the cache placement problem of popular videos on short video platforms within edge environments, aiming to optimize user experience while minimizing cache deployment costs. Initially, we assess user experience holistically, considering both user preferences for popular videos and the latency involved in fetching requested content. Subsequently, we quantify cache placement expenses, accounting for both video transmission and storage costs. Ultimately, we formulate the placement problem as a single objective optimization problem maximizing overall user experience. A genetic algorithm is proposed to solve the problem. Simulation results indicate that, compared to traditional edge caching placement algorithms, our proposed strategy can reduce the average response time by 17% and improve the cache hit rate by 21%. © 2024 Copyright held by the owner/author(s).

关键词： Genetic algorithms

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Experiments and model development of p-nitrochlorobenzene and naphthalene purification in a continuous tower melting crystallizer

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Chinese Journal of Chemical engineering 2023年第12期64卷 9-17页

作者： Wenlong Xiao Yonglin Li Zhengming Yi Sheng Yang He’an Luo School of Chemical Engineering Xiangtan UniversityXiangtan 411105China School of Energy Science and Engineering Central South UniversityChangsha 410083China College of Materials and Chemical Engineering Hunan Institute of EngineeringXiangtan 411105China

With the increasing demand for high-purity products,the industrial application of melt crystallization technology has been highly *** this study,the purification process of nitrochlorobenzene binary eutectic system(NBES)and naphthalene–benzothiophene solid solution system(NBSSS)in tower melting crystallizer is analyzed,and a mathematical model of crystallization process is *** key parameters in terms of feed concentration,crystal bed height,reflux ratio and stirring speed effi-ciency on purification effects were discussed by the established *** results show that the concentration of p-nitrochlorobenzene was purified from 90.85%to 99.99%,when the crystal bed height is 600 mm,the reflux ratio is 2.5,and the stirring speed is 12 rmin^(-1).The naphthalene concentration is purified from 95.89%to 99.99%,when the crystal bed height is 400 mm,the reflux ratio is 1.43,and the stirring speed is 16 rmin^(-1).The quality of the model is evaluated by the ARD(average relative deviation).The minimum ARD values of the NBES and NBSSS are 2.39%and 5.22%,respectively,indicating the model satisfactorily explains the purification process.

关键词： Crystallization Separation Mathematical modeling Crystallizer Purification

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SpGCLF: A versatile deep graph contrastive learning framework for spatial transcriptomics analysis

SpGCLF: A versatile deep graph contrastive learning framewor...

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2024 IEEE International Conference on Bioinformatics and Biomedicine, BIBM 2024

作者： Chen, Xiang Yu, Junnan Li, Min Hunan University of Science and Technology School of Computer Science and Engineering Xiangtan China Central South University School of Computer Science and Engineering Changsha China

ISBN: (纸本)9798350386226

The rapid development of spatial transcriptomics (ST) has revolutionized the study of spatial heterogeneity and increased the demand for comprehensive methods to effectively characterize spatial domains. As a prerequisite for ST data analysis, spatial domain characterization is a critical step for downstream analysis and biological interpretation. Here, we propose a deep graph contrastive learning framework (spG-CLF) for spatial transcriptomics, which leverages contrastive learning through graph convolutional networks to effectively learn features among spots, addressing the issue of poor cross-platform generalizability. By alternately performing attribute and topological denoising, our method specifically reduces noise in ST data. We demonstrate that s p GCLF is effective for spatial domain identification, trajectory inference, multi-slice integration, and type annotation. © 2024 IEEE.

关键词： Contrastive Learning

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Prediction of Agricultural Gross Domestic Product Proportion in Shixing County Based on GM (1,1) Model 24

Prediction of Agricultural Gross Domestic Product Proportion...

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2024 Guangdong-Hong Kong-Macao Greater Bay Area International Conference on Digital Economy and Artificial Intelligence, DEAI 2024

作者： Liu, Lidong He, Yantao Liu, Sijia Liu, Suping Luo, Yongbin Hu, Jiajia Liu, Yuan Zhou, Keer Department of Computer Science Guangdong University of Science and Technology Dongguan Guangdong China School of Mechanical Engineering Hunan University of Science and Technology Xiangtan Hunan China

ISBN: (纸本)9798400717147

Agriculture plays a pivotal role in the national economy, with its development trajectory directly impacting food security, farmers' income and living standards, as well as rural economic growth. The Gross Domestic Product (GDP) of agriculture serves as a crucial metric for assessing agricultural progress. By monitoring fluctuations in agricultural GDP, we can discern the trends and characteristics of agricultural development, and gain insights into the position and significance of agriculture within the national economy. This study utilizes the agricultural gross production value data from Shixing County in Shaoguan City over a six-year period to construct a GM (1,1) prediction model. This model aims to forecast the proportion of agricultural GDP in Shixing County, thereby providing insights into the county's future agricultural development status. To validate the model's accuracy and practicality, a residual and relative error test was conducted on the predicted data. The results indicate that the average relative error is a mere 6.26%, underscoring the model's practicality. Consequently, the predicted data can serve as a valuable reference for local agricultural GDP development. © 2024 ACM.

关键词： Agriculture

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Variant selection of nanocrystalline a phase in metastableβTB8 titanium alloy via electric pulse treatment

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Rare Metals 2023年第8期42卷 2781-2794页

作者： Shan-Shan Wu Ya Yang Yuan-Biao Tan Song Xiang Ya-Li Zhou Min Ma Fei Zhao Wei Shi Guizhou Key Laboratory of Materials Mechanical Behavior and Microstructure College of Materials and MetallurgyGuizhou UniversityGuiyang 550025China College of Materials Science and Engineering Hunan University of Science and TechnologyXiangtan 411201China

In this paper,the metastableβTB8 titanium alloy with nanocrystallineαphase is achieved by electric pulse *** morphology evolution and variant selection of nanocrystallineαphase in metastableβTB8titanium alloy were investigated by using scanning electron microscope(SEM),electron backscattered diffraction(EBSD)and transmission electron microscope(TEM)*** results indicated that the morphologies of the nanocrystallineαphase were mainly triangular clusters and needle-like at the pressure of 0 *** increasing pressure from 20 to 50 MPa,the volume fraction of needlelikeαphase decreased,and a large amount of V-shapedαphase formed in the interior ofβ*** on the EBSD data,the parentβphase was reconstructed by MTEX *** the interior of theβgrains,12 variants can form for the samples electric pulse treated at 0 and20 MPa,while only 3 and 6 variants can form for the samples electric pulse treated at 30 and 50 *** the grain boundary of theβgrains,one or more grain boundaryαvariants can be generated for the samples electric pulse treated at different pressures as long as one of the neighborβgrains follows the Burgers orientation relationship.

关键词： TB8 titanium alloy Parentβgrain reconstruction Morphology ofαphase Variant selection

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