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A Federated Learning Framework with Blockchain-Based Auditable Participant Selection

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Computers, Materials & Continua 2024年第6期79卷 5125-5142页

作者： Huang Zeng Mingtian Zhang Tengfei Liu anjia yang College of Cyber Security Jinan UniversityGuangzhou510632China

Federated learning is an important distributed model training technique in Internet of Things(IoT),in which participant selection is a key component that plays a role in improving training efficiency and model *** module enables a central server to select a subset of participants to performmodel training based on data and device *** doing so,selected participants are rewarded and actively perform model training,while participants that are detrimental to training efficiency and model accuracy are ***,in practice,participants may suspect that the central server may have miscalculated and thus not made the selection *** lack of trustworthiness problem,which can demotivate participants,has received little *** problem that has received little attention is the leakage of participants’private information during the selection *** will therefore propose a federated learning framework with auditable participant *** supports smart contracts in selecting a set of suitable participants based on their training loss without compromising the *** the possibility of malicious campaigning and impersonation of participants,the framework employs commitment schemes and zero-knowledge proofs to counteract these malicious ***,we analyze the security of the framework and conduct a series of experiments to demonstrate that the framework can effectively improve the efficiency of federated learning.

关键词： Federated learning internet of things participant selection blockchain auditability privacy

Study on the hydrogen absorption properties of a YGdTbDyHo rare-earth high-entropy alloy

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International Journal of Minerals,Metallurgy and Materials 2025年第1期32卷 127-135页

作者： Tongyue Li Ziliang Xie Wenjiao Zhou Huan Tong Dawen yang anjia Zhang Yuan Wu Xiping Song State Key Laboratory for Advanced Metals and Materials University of Science and Technology BeijingBeijing 100083China Whole Win(Beijing)Materials Sci.&Tech.Co. Ltd.Beijing 100083China

This study investigated the microstructure and hydrogen absorption properties of a rare-earth high-entropy alloy(HEA),*** indicated that the YGdTbDyHo alloy had a microstructure of equiaxed grains,with the alloy elements distributed *** hydrogen absorption,the phase structure of the HEA changed from a solid solution with an hexagonal-close-packed(HCP)structure to a high-entropy hydride with an faced-centered-cubic(FCC)structure without any secondary phase *** alloy demonstrated a maximum hydrogen storage capacity of 2.33 H/M(hydrogen atom/metal atom)at 723 K,with an enthalpy change(ΔH)of-141.09 kJ·mol^(-1)and an entropy change(ΔS)of-119.14 J·mol^(-1)·K^(-1).The kinetic mechanism of hydrogen absorption was hydride nucleation and growth,with an apparent activation energy(E_(a))of 20.90 kJ·mol^(-1).Without any activation,the YGdTbDyHo alloy could absorb hydrogen quickly(180 s at 923 K)with nearly no incubation period *** reason for the obtained value of 2.33 H/M was that the hydrogen atoms occupied both tetrahedral and octahedral *** results demonstrate the potential application of HEAs as a high-capacity hydrogen storage material with a large H/M ratio,which can be used in the deuterium storage field.

关键词： rare-earth high-entropy alloy hydrogen absorption capacity pressure–composition–temperature curves kinetics

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两起主变压器套管发热缺陷分析及处理

宁夏电力 2019年第6期 39-40,51页

作者：周秀马云龙唐婷杨安家张少敏国网宁夏电力有限公司电力科学研究院宁夏银川750011

通过红外测温技术发现了两起宁夏电网主变压器套管发热缺陷,并对两起主变压器套管缺陷进行诊断分析,确认了缺陷原因,最后针对两类缺陷提出了生产、安装及运行巡视等环节的整改措施。

关键词：主变压器套管发热缺陷

Construction of Alkenyl-Functionalized Spirocarbocyclic Scaffolds from Alkyne-Containing Phenol-Based Biaryls via Sequential lodine-Induced Cyclization/Dearomatization and Pd-Catalyzed Coupling of N-Tosylhydrazones

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Chinese Journal of Chemistry 2020年第11期38卷 1257-1262页

作者： anjia Liu Kaiming Han Xin-Xing Wu Shufeng Chen Jianbo Wang Inner Mongolia Key Laboratory of Fine Organic Synthesis College of Chemistry and Chemical EngineeringInner Mongolia UniversityHohhotInner Mongolia 010021China Beijing National Laboratory of Molecular Sciences(BNLMS) Key Laboratory of Bioorganic Chemistry and Molecular Engineering of Ministry of EducationCollege of ChemistryPeking UniversityBeijing 100871China

of main obse rvation and conclusion An efficient strategy for the formation of alkenyl-functionalized spirocarbocyclic scaffolds from alkyne-containing phenol-based biaryls via sequential iodine-induced cyclization/dearomatization and Pd-catalyzed coupling of N-tosylhydrazones is *** approach provides various spirocarbocyclic compounds in moderate to excellent yields with good functional *** results also demonstrate the feasibility for the direct cross-couplings of N-tosyl hydrazones with sterically congested tetrasubstituted alkenyl halides.

关键词： coupling substituted Phenol

Preoperative Prediction of Lymph Node Metastasis in Colorectal Cancer with Deep Learning

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Biomedical Engineering Frontiers 2022年第1期3卷 93-104页

作者： Hailing Liu Yu Zhao Fan yang Xiaoying Lou Feng Wu Hang Li Xiaohan Xing Tingying Peng Bjoern Menze Junzhou Huang Shujun Zhang anjia Han Jianhua Yao Xinjuan Fan Department of Pathology The Sixth Affiliated Hospital of Sun Yat-sen UniversityGuangzhou 510655China AI Lab TencentShenzhen 518057China Department of Computer Science Technical University of MunichMunich 85748Germany Department of Computer Science Xiamen UniversityXiamen 361005China Department of Electronic Engineering The Chinese University of Hong KongHong Kong 999077China Institute of Computational Biology Helmholtz Zentrum MünchenNeuherberg 85764Germany Helmholtz AI Helmholtz Zentrum MünchenNeuherberg 85764Germany Department of Quantitative Biomedicine University of ZurichZurich 8091Switzerland Department of Pathology The Fourth Hospital of Harbin Medical UniversityHarbin 150001China Department of Pathology The First Affiliated Hospital of Sun Yat-sen UniversityGuangzhou 510080China

*** develop an artificial intelligence method predicting lymph node metastasis(LNM)for patients with colorectal cancer(CRC).Impact Statement.A novel interpretable multimodal AI-based method to predict LNM for CRC patients by integrating information of pathological images and serum tumor-specific *** diagnosis of LNM is essential in treatment planning for CRC *** radiology imaging and genomic tests approaches are either unreliable or too ***.A total of 1338 patients were recruited,where 1128 patients from one centre were included as the discovery cohort and 210 patients from other two centres were involved as the external validation *** developed a Multimodal Multiple Instance Learning(MMIL)model to learn latent features from pathological images and then jointly integrated the clinical biomarker features for predicting LNM *** heatmaps of the obtained MMIL model were generated for model *** MMIL model outperformed preoperative radiology-imaging diagnosis and yielded high area under the curve(AUCs)of 0.926,0.878,0.809,and 0.857 for patients with stage T1,T2,T3,and T4 CRC,on the discovery *** the external cohort,it obtained AUCs of 0.855,0.832,0.691,and 0.792,respectively(T1-T4),which indicates its prediction accuracy and potential adaptability among multiple *** MMIL model showed the potential in the early diagnosis of LNM by referring to pathological images and tumor-specific biomarkers,which is easily accessed in different *** revealed the histomorphologic features determining the LNM prediction indicating the model ability to learn informative latent features.

关键词： diagnosis centre latent

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设备在线状态监测系统在煤矿的应用

洁净煤技术 2023年第S2期29卷 789-794页

作者：王安佳国能神东煤炭洗选中心陕西榆林719315

煤矿生产过程中,设备故障不仅影响生产效率,还会影响人身安全,造成安全事故。因此有必要采用技术手段实时监测煤矿核心设备。设备在线状态监测系统主要应用于煤矿生产中的大型机械、机电设备的监测和故障诊断,实时监测设备的齿轮箱、主... 详细信息

煤矿生产过程中,设备故障不仅影响生产效率,还会影响人身安全,造成安全事故。因此有必要采用技术手段实时监测煤矿核心设备。设备在线状态监测系统主要应用于煤矿生产中的大型机械、机电设备的监测和故障诊断,实时监测设备的齿轮箱、主轴和发电机轴承等关键部位,监测参数包括振动、风速及油温。系统通过智能分析设备振动、风速及温度等信号,实时监测设备运行情况,并结合设备故障诊断数据库分析确定设备故障类型,实现设备故障诊断。设备在线状态监测系统的应用不仅提高了人员工作效率,还提高了设备使用寿命。

关键词：在线状态监测振动温度故障诊断智能分析

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慢性结肠炎发生及癌变的分子机制研究进展

中华病理学杂志 2016年第3期45卷 145-148页

作者：杨万才韩安家济宁医学院精准医学研究院中山大学附属第一医院病理科

结肠癌是最常见的恶性肿瘤之一，其发病率和病死率在中国乃至世界范围内均很高，其中一部分结肠癌是由慢性结肠炎引起的，称之为结肠炎相关的结肠癌（colitis-associatedcoloncancer）。大量的流行病学、实验病理学和临床研究表明炎症... 详细信息

结肠癌是最常见的恶性肿瘤之一，其发病率和病死率在中国乃至世界范围内均很高，其中一部分结肠癌是由慢性结肠炎引起的，称之为结肠炎相关的结肠癌（colitis-associatedcoloncancer）。大量的流行病学、实验病理学和临床研究表明炎症性肠病（inflammatoryboweldisease），特别是慢性溃疡性结肠炎（chroniculcerativecolitis）和克罗恩病（Crohrldisease）的长期存在可以恶性转化为结肠癌，甚至促进结肠癌的进展和早期转移∞圳。本文主要论述慢性结肠炎的发生及其恶变的分子机制研究进展。

关键词：慢性结肠炎分子机制慢性溃疡性结肠炎癌变结肠癌炎症性肠病实验病理学恶性肿瘤

基于视频分析技术的选煤厂人员不安全行为识别研究与应用

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洁净煤技术 2023年第S1期29卷 164-168页

作者：王安佳陈世涛国能神东煤炭洗选中心陕西榆林719315

随着企业数字化转型不断深入,视频分析技术得到广泛应用,企业安装的大量摄像头不仅发挥监控的作用,且可以利用像素分割、机器学习等技术实现特征识别功能,选煤厂在矿山企业中危险作业点多、作业环境复杂、人员安全风险管控难度大,在智... 详细信息

随着企业数字化转型不断深入,视频分析技术得到广泛应用,企业安装的大量摄像头不仅发挥监控的作用,且可以利用像素分割、机器学习等技术实现特征识别功能,选煤厂在矿山企业中危险作业点多、作业环境复杂、人员安全风险管控难度大,在智能化建设中,智能安全管理作为关键建设课题,需以人为核心,根据选煤厂人员工作环境、工作内容和人员不安全行为的认定标准制定智能识别体系,根据识别结果自动判定不安全行为等级,生成数据分析报告。实现选煤厂人员不安全行为的闭环管理。

关键词：视频分析像素分割智能安全数据分析

考虑通信可靠性的5G基站储能聚合商优化调度研究

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电工技术学报 2023年第9期38卷 2364-2374页

作者：毛安家张丽婧盛倩倩华北电力大学电气与电子工程学院北京102206 国网天津市电力公司城东供电分公司天津300250

5G通信正在迅速发展,其基站数量十分庞大,基站内部的备用储能可作为灵活资源参与电网调度,实现电力系统与通信系统的有效互动,促成双方的合作共赢。首先,基于5G基站储能特性提出了基站储能聚合商的概念,并设计了其调度架构;其次,考虑通... 详细信息

5G通信正在迅速发展,其基站数量十分庞大,基站内部的备用储能可作为灵活资源参与电网调度,实现电力系统与通信系统的有效互动,促成双方的合作共赢。首先,基于5G基站储能特性提出了基站储能聚合商的概念,并设计了其调度架构;其次,考虑通信可靠性对5G基站储能的备电容量进行了建模,并在此基础上对5G基站储能聚合商的可调度潜力进行了分析;最后,针对5G基站储能聚合商参与电网调度,建立了以电网负荷波动标准差与聚合商收益为目标的优化调度模型。算例分析结果表明,在保证通信可靠性所需备电容量时,聚合后的5G基站储能仍具有可观的可调度容量,其参与电网调度在降低电网负荷峰谷差的同时也可为通信运营商带来较大收益。

关键词： 5G基站储能聚合商可靠性优化调度