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基于区块链的轻量级物联网医疗数据访问控制方案

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重庆邮电大学学报（自然科学版） 2024年第1期36卷 98-105页

作者：李嘉豪李冬梅张晓梅上海工程技术大学电子电气工程学院上海201620 上海市信息安全综合管理技术研究重点实验室上海200240

基于物联网的智慧医疗系统,给患者和医务工作者带来极大的便利,但是物联网医疗设备产生的海量医疗数据包含着患者的个人隐私,一旦泄露会造成重大损失,以往的访问控制方案存在不灵活,中心化,加密效率较低等问题。针对这些问题,提出了一... 详细信息

基于物联网的智慧医疗系统,给患者和医务工作者带来极大的便利,但是物联网医疗设备产生的海量医疗数据包含着患者的个人隐私,一旦泄露会造成重大损失,以往的访问控制方案存在不灵活,中心化,加密效率较低等问题。针对这些问题,提出了一种基于区块链的轻量级物联网医疗数据访问控制方案。提出了一种改进的多中心属性基加密(multi-authority attribute-based encryption, MA-ABE)方案为患者提供细粒度的安全数据共享,并且利用IPFS技术存储患者数据。结合雾计算技术,利用雾节点承担属性基加解密过程中大部分的计算开销,减轻了物联网设备负担。进行安全性分析和仿真实验,结果表明,提出的方案在保证安全的情况下为物联网医疗数据提供了高效并且轻量级的访问控制。

关键词：多中心属性基加密(MA-ABE) 雾计算区块链访问控制智慧医疗

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The Geological Significance of the Deformation and Geochronology of the Xiaotian–Mozitan Shear Zone in the Dabie Orogenic Belt(East-Central China)

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Acta Geologica Sinica(English Edition) 2021年第2期95卷 370-392页

作者： HUANG Peng SONG Chuanzhong XIAO Wenjiao li jiahao ZHOU Kefa WANG Jinlin NIJIATI Abuduxun li Zhenwei Slate Key Laboratory of Desert and Oasis Ecology Xinjiang Institute of Ecology and GeographyChinese Academy of SciencesUramqi 830011China Xinjiang Research Center for Mineral Resources Chinese Academy of SciencesUrwnqi 830011China Xinjiang Key Laboratory of Mineral Resources and Digital Geology Urumqi 830011China School of Resources arid Environmental Engineering Hefei University of TechnologyHefei 230009China State Key Laboratory of lithospheric Evolution Institute of Geology and GeophysicsChinese Academy of SciencesBeijing 100049China College of Earth and Planetary Sciences University of the Chinese Academy of SciencesBeijing 100049China Chinese Academy of Sciences Center for Excellence in Tibetan Plateau Earth Science Chinese Academy of SciencesBeijing 100101China Xinjiang Key Laboratory for Geodynamic Processes and Metallogenic Prognosis of the Central Asian Orogenic Belt School of Geology and Mining EngineeringXinjiang UniversityUrumqi 830046China

The Xiaotian–Mozitan Shear Zone(XMSZ)is the boundary of the Dabie High-grade Metamorphic Complex(DHMC)and the North Huaiyang Tectonic *** was deformed in ductile conditions with a top-to-NW/WNW *** applied to mineral parageneses in mylonites of the shear zone give a temperature range of 623–691°C for the predeformation and 515–568°C for the syndeformation,respectively,which indicates a retrograde process of evolution.A few groups of zircon U-Pb ages were obtained from undeformed granitic veins and different types of deformed rocks in the *** from the felsic ultramylonites are all magmatic,producing a weighted mean 206Pb/238U age of 754±8.1 Ma,which indicates the time of magmatic activities caused by rifting in the *** from the granitic veins,cutting into the mylonites,are also of magmatic origin,producing a weighted mean 206 Pb/238 U age of 130±2.5 Ma,which represents the time of regional magmatic activity in the *** from the mylonitic gneisses are of anatectic-metamorphic origins and are characterized by a core-mantle interior texture,which yielded several populations of ages including the Neoproterozoic ages with a weighted mean 206 Pb/238 U age of 762±18 Ma,similar to that of the felsic ultramylonites and the Early Cretaceous ages with a weighted mean 206Pb/238U age of 143±1.8 Ma,indicating the anatectic metamorphism in the Dabie Orogenic Belt(DOB).Based on integrated analysis of the structure,thermal conditions of ductile deformation and the contact relations of the dated rocks,the activation time of the Xiaotian–Mozitan Shear Zone is constrained between~143 Ma and 130 Ma,during which the DOB was undergoing a transition in tectonic regime from compression to ***,the deformation and evolution of this shear zone plays an instrumental role in fully understanding this *** research also inclines us to the interpretation of it as an extensional detachment,with regard to the te

关键词： syndeformation temperature zircon U-Pb dating tectonic regime transition Xiaotian-Mozitan Shear Zone Dabie Orogenic Belt

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双通道周期信号分离装置的设计与实现

工业仪表与自动化装置 2024年第1期 18-21页

作者：曹胜陈嘉强李佳豪高红霞薛欣太原学院智能与自动化系山西太原030032

基于解决现代工业生产中复杂信号分析难题的目标,该研究采用了创新性的“双通道周期信号分离装置”。该装置在工业仪表、控制系统和传感器等领域广泛应用,能高效精准地分离多频率、多波形混合信号。面对工业环境中频率和波形多样的挑战... 详细信息

基于解决现代工业生产中复杂信号分析难题的目标,该研究采用了创新性的“双通道周期信号分离装置”。该装置在工业仪表、控制系统和传感器等领域广泛应用,能高效精准地分离多频率、多波形混合信号。面对工业环境中频率和波形多样的挑战,该研究结合STM32平台,成功实现对周期信号A和B的准确分离和还原。装置工作原理简明清晰,信号经过预处理模块消除直流成分后,经STM32智能核心板时域离散采样和傅里叶变换等处理,实现对信号频谱特征的识别。信号再构模块则采用频率相位可编程信号发生器,对信号进行再构,最终实现双通道周期信号的精确分离。经过实验测试,装置在叠加信号测试中表现出色,成功分离多种信号组合,验证了其高效性与精确性。

关键词：周期信号分离装置工业应用 STM32 信号处理频谱分析

Nano-effect enhanced cooperative luminescence of Yb^(3+) clusters in bulk materials

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Journal of Rare Earths 2024年第3期42卷 473-478,I0002页

作者： Daguang li jiahao Cui Yanhui Dong Hao Cui Dan Zhao Weiping Qin State Key Laboratory on Integrated Optoelectronics College of Electronic Science and EngineeringJilin UniversityChangchun130012China

In order to improve the multi-ion cooperative transition, we proposed and exploited a novel nanoscale effect, namely the nanoshell effect in bulk materials. Based on the effect, an optimal material structure was designed by coating the surfaces of Ca F_(2):Yb^(3+)micron size particles with ZrO_(2). An about 2 times higher intensity of cooperative luminescence is observed upon laser excitation at 980 nm. Dynamical analysis exhibits that the novel effect plays a key role in improving the performance of cooperative transitions. Our results also suggest that the nanoshell effect in bulk materials is likely to be significant in some special cases, which have not been reported yet in the literature.

关键词： Yb^(3+)cluster ZrO_(2) Nanoshell Enhancement Cooperative luminescence Rare earths

A vision system based on CNN-LSTM for robotic citrus sorting Author links open overlay panel

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Information Processing in Agriculture 2024年第1期11卷 14-25页

作者： Yonghua Yu Xiaosong An jiahao lin Shanjun li Yaohui Chen College of Engineering Huazhong Agricultural UniversityWuhan 430070China Key Laboratory of Agricultural Equipment in Mid-Lower Yangtze River Ministry of Agriculture and Rural AffairsWuhan 430070China National R&D Center for Citrus Preservation Wuhan 430070China Citrus Mechanization Research Base Ministry of Agriculture and Rural AffairsWuhan 430070China

Compared with manual sorting of citrus fruit,vision-based sorting solutions can help achieve higher accuracy and *** this study,we present a vision system based on CNN-LSTM,which can cooperate with robotic grippers for real-time sorting and is readily applicable to various citrus processing plants.A CNN-based detector was adopted to detect the defective oranges in view and temporarily classify them into corresponding types,and an LSTM-based predictor was used to predict the position of the oranges in a future frame based on image sequential *** fusion of CNN and LSTM networks enabled the system to track defective ones during rotation and identify their true types,and their future path was also predicted which is vital for predictive control of visually guided robotic *** detection accuracy of 94.1%was obtained based on experimental results,and the error for path prediction was within 4.33 pixels 40 frames *** average time to process a frame was between 28 and 62 frames per second,which also satisfied real-time *** results proved the potential of the proposed system for automated citrus sorting with good precision and efficiency,and it can be readily extended to other fruit crops featuring high versatility.

关键词： Deep learning Long short-term memory Vision system Online citrus sorting Path prediction

Energy-efficient computation offloading assisted by RIS-based UAV

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The Journal of China Universities of Posts and Telecommunications 2024年第1期31卷 37-48页

作者： li linpei Zhao Chuan Su Yu Huo jiahao Huang Yao li Haojin School of Intelligence Science and Technology University of Science and Technology BeijingBeijing 100083China Institute of Artificial Intelligence University of Science and Technology BeijingBeijing 100083China Shunde Innovation School University of Science and Technology BeijingFoshan 528399China School of Computer and Communication Engineering University of Science and Technology BeijingBeijing 100083China Research Department of 5G and Drone China Mobile(Chengdu)Institute of Research and DevelopmentChengdu 610200China College of Communication Engineering Chengdu University of Information TechnologyChengdu 610225China Research and Development Center Sony(China)LimitedBeijing 100027China

The new applications surge with the rapid evolution of the mobile *** explosive growth of the data traffic aroused by the new applications has posed great computing pressure on the local *** is essential to innovate the computation offloading methods to alleviate the local computing burden and improve the offloading *** edge computing(MEC)assisted by reflecting intelligent surfaces(RIS)-based unmanned aerial vehicle(UAV)is a promising method to assist the users in executing the computation tasks in proximity at low *** this paper,we propose an energy-efficient MEC system assisted by RIS-based UAV,where the UAV with RIS mounted relays the computation tasks to the MEC *** energy efficiency maximization problem is formulated by jointly optimizing the UAV's trajectory,the transmission power of all users,and the phase shifts of the reflecting elements placed on the *** that the optimization problem is non-convex,we propose a deep deterministic policy gradient(DDPG)-based *** combining the DDPG algorithm with the energy efficiency maximization problem,the optimization problem can be ***,the numerical results are illustrated to show the performance of the system and the superiority compared with the benchmark schemes.

关键词： mobile edge computing unmanned aerial vehicle reflecting intelligent surface

Numerical and theoretical study of large-scale failure of strata overlying sublevel caving mines with steeply dipping discontinuities

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International Journal of Minerals,Metallurgy and Materials 2024年第8期31卷 1799-1815页

作者： Kaizong Xia Zhiwei Si Congxin Chen Xiaoshuang li Junpeng Zou jiahao Yuan State Key Laboratory of Geomechanics and Geotechnical Engineering Institute of Rock and Soil MechanicsChinese Academy of SciencesWuhan 430071China University of Chinese Academy of Sciences Beijing 100049China School of Urban Construction Changzhou UniversityChangzhou 213164China Faculty of Engineering China University of Geosciences(Wuhan)Wuhan 430074China

The deformation and fracture evolution mechanisms of the strata overlying mines mined using sublevel caving were studied via numerical ***,an expression for the normal force acting on the side face of a steeply dipping superimposed cantilever beam in the surrounding rock was deduced based on limit equilibrium *** results show the following:(1)surface displacement above metal mines with steeply dipping discontinuities shows significant step characteristics,and(2)the behavior of the strata as they fail exhibits superimposition ***,failure first occurs in certain superimposed strata slightly far from the ***,with the constant downward excavation of the orebody,the superimposed strata become damaged both upwards away from and downwards toward the *** process continues until the deep part of the steeply dipping superimposed strata forms a large-scale deep fracture plane that connects with the *** deep fracture plane generally makes an angle of 12°-20°with the normal to the steeply dipping *** effect of the constant outward transfer of strata movement due to the constant outward failure of the superimposed strata in the metal mines with steeply dipping discontinuities causes the scope of the strata movement in these mines to be larger than *** strata in the metal mines with steeply dipping discontinuities mainly show flexural toppling ***,the steeply dipping structural strata near the goaf mainly exhibit shear slipping failure,in which case the mechanical model used to describe them can be simplified by treating them as steeply dipping superimposed cantilever *** taking the steeply dipping superimposed cantilever beam that first experiences failure as the key stratum,the failure scope of the strata(and criteria for the stability of metal mines with steeply dipping discontinuities mined using sublevel caving)can be obtained via iterative computations from the ke

关键词： sublevel caving mines universal distinct element code(UDEC)numerical approach large-scale ground movement steeply dipping superimposed cantilever beam toppling failure

深度学习MMV-Net模型对乳腺X线良性和恶性肿块的分类效能

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实用肿瘤学杂志 2024年第3期38卷 179-183页

作者：李家豪柏家和兰婕李海霞张岩孙江宏哈尔滨医科大学附属肿瘤医院哈尔滨150081 哈尔滨医科大学附属肿瘤医院超声科哈尔滨医科大学附属肿瘤医院影像中心哈尔滨工业大学生命科学与技术学院

目的构建基于乳腺X线多视图的深度学习框架(Network based on mammography multiple views,MMV-Net),评价模型对乳腺良性和恶性肿块的分类效能。方法回顾性分析2018-2020年哈尔滨医科大学附属肿瘤医院1585例乳腺X线图像数据集,其中良性... 详细信息

目的构建基于乳腺X线多视图的深度学习框架(Network based on mammography multiple views,MMV-Net),评价模型对乳腺良性和恶性肿块的分类效能。方法回顾性分析2018-2020年哈尔滨医科大学附属肿瘤医院1585例乳腺X线图像数据集,其中良性806例,恶性779例,按8∶2分为训练集(n=1268)和测试集(n=317),并按照5折交叉验证对训练集进行分层,采用集成的DDSM数据集和INBreast数据集作为外部测试集(n=1645)来评估模型性能。输入层每个病例包含4个视图,通过删除ResNet22网络模型的最后两层网络结构并加入平均池化层作为特征提取层,以及分别加入全连接层和softmax激活函数作为决策层构建MMV-Net模型,使用贝叶斯超参数优化。比较MMV-Net、MFA-Net和集成Inception V4模型在AUC值、准确率、精确率、召回率和F1分数上的表现。结果MMV-Net模型在测试集上区分良性和恶性肿块的AUC值为0.913,MFA-Net的AUC为0.882,Inception V4的AUC为0.865;MMV-Net模型的准确率和精确率等评估指标也高于其他两种模型。结论基于乳腺X线多视图的深度学习MMV-Net模型有助于乳腺良性和恶性肿块的分类。

关键词：深度学习 MMV-Net模型乳腺X线摄影肿块分类

鲸鱼优化算法-双向长短期记忆神经网络用于断路器机械剩余寿命的预测研究

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高电压技术 2024年第1期50卷 250-262页

作者：李家豪王青于范玥霖史石峰彭宗仁曹培徐鹏西安交通大学电工材料电气绝缘全国重点实验室西安710049 国网上海市电力公司电力科学研究院上海200080

低压断路器的安全可靠是电力系统能否稳定运行的关键一环,因此对断路器进行退化趋势预测和剩余寿命评估具有重要意义。基于鲸鱼优化算法(whale optimization algorithm,WOA)和双向长短期记忆神经网络(bidirectional long short-term mem... 详细信息

低压断路器的安全可靠是电力系统能否稳定运行的关键一环,因此对断路器进行退化趋势预测和剩余寿命评估具有重要意义。基于鲸鱼优化算法(whale optimization algorithm,WOA)和双向长短期记忆神经网络(bidirectional long short-term memory,BiLSTM)提出了一种断路器操动机构剩余寿命的预测方法,首先采用Pearson相关系数法对获得的原始监测数据进行筛选,选择与断路器开断次数相关度较高的数据作为关键退化特征量,基于主成分分析法进行数据融合获得能够综合表征断路器运行状态的健康指数;随后使用滑动时间窗的方法对健康指数时间序列进行重构,再通过WOA-Bi LSTM寻优获得的最佳模型对健康指数进行时间序列预测,从而获得断路器未来多步的退化趋势;最后再根据设定的失效阈值,确定断路器操动机构的剩余寿命。实例验证表明,该文提出的混合预测模型预测精度最高可达96.43%,相比于其他传统预测模型显著提高,对于断路器的实际运维工作具有一定的指导意义。

关键词：低压断路器退化趋势剩余寿命双向长短期记忆网络鲸鱼优化