Results 21 to 30 of about 12,506 (165)
智能科学与技术学报, 2021 轨道交通工业控制系统是国家重要的基础设施之一。随着信息技术的迅速发展和网络形势的逐渐严峻，轨道交通工业控制系统信息安全受到了越来越多的关注。分析了轨道交通工业控制系统的系统组成，总结了轨道交通工业控制系统面临的安全威胁种类，举例剖析了轨道交通工业控制系统信息安全风险演化，并进一步对轨道交通工业控制系统信息安全威胁趋势进行了解析。最后，给出了轨道交通工业控制系统信息安全技术的发展建议。
李浥东 +5 more
doaj
Rare Metals, EarlyView.ABSTRACT Ni3S2 has emerged as a promising catalyst for the electrochemical oxidation of biomass‐derived 5‐hydroxymethylfurfural (HMF) to 2,5‐furandicarboxylic acid (FDCA), driven by its distinctive physicochemical properties. However, its practical catalytic efficiency is severely hindered by abundant electrochemically inactive surface sites and poor ...
Cheng‐Feng Yi +5 more
wiley +1 more source
Rare Metals, EarlyView.ABSTRACT Chlorination roasting has emerged as a promising pyrometallurgical strategy for the selective recovery of lithium from spent lithium‐ion batteries (LIBs). In this study, a natural roasting agent, seawater‐derived chlorides, was employed to selectively extract lithium from spent LiNi0.5Co0.2Mn0.3O2 (NCM523) cathode. MgCl2·6H2O, a main component
Bei‐Lei Zhang +7 more
wiley +1 more source
智能科学与技术学报, 2020 污水处理过程入水干扰严重，不确定性强，因而对溶解氧浓度进行实时控制与精确控制比较困难。为了提高溶解氧浓度的控制精度和控制器的鲁棒性，提出一种基于相关熵模糊神经网络（CFNN）的溶解氧浓度在线控制方法。首先，建立了基于跟踪误差相关熵的性能准则，以抑制较大的异常值。其次，基于在线梯度下降算法调整控制器的参数，并分析了系统的稳定性。最后，基于基准仿真 1 号模型（BSM1）进行实验。结果表明，提出的CFNN控制器能够实时精准地跟踪溶解氧浓度，相比其他基于均方误差准则的神经网络控制器 ...
权利敏, 杨翠丽, 乔俊飞
doaj
Rare Metals, EarlyView.ABSTRACT Converting CO2 to CH4 under mild conditions is a promising strategy for solving environmental and energy problems, but also a challenge. In this work, the low‐temperature CO2 hydrogenation process over Ni/CeO2 catalysts was significantly accelerated by optimizing the H2 dissociation ability of Ni through the size effect, thus A‐Ni/CeO2 with an
Yu Xie +8 more
wiley +1 more source
Rare Metals, EarlyView.ABSTRACT The covalent bonds at heterojunction interfaces enable more efficient charge carrier separation than traditional weakly coupled heterojunctions, with enhanced photocatalytic performance for organic wastewater purification. The interfacial covalent bonds drive energy band reorganization, rendering the conventional independent band edge ...
Jing‐Yu Ren +5 more
wiley +1 more source
Gaoya dianqi, 2023 为了提高RFID测温芯片在电缆实际工况中的实用性，文中提出了一种10 k V三芯电缆的温度反演计算方法。该方法基于标准IEC 60287和JB/T 10181建立电缆热路模型，并通过RFID芯片的测量温度反演计算电缆导体的温度。文中首先进行了电缆升流与测温实验，然后建立了有限元计算模型，并对实验结果、仿真计算结果和反演计算结果进行了对比校验分析。结果表明：RFID测温芯片的测量相对误差最大值在4.5%左右，其测量可靠性满足现场应用的精度要求。同时 ...
陶霰韬 +7 more
doaj
Fermi Surface Structure Revealed by Quantum Oscillations in Half‐Heusler Semimetal LuAuSn
Rare Metals, EarlyView.ABSTRACT The Fermi surface structure in the half‐Heusler semimetallic compound LuAuSn was systematically investigated using quantum oscillation studies of high‐quality single crystals and first‐principles calculations. Clear bulk quantum oscillation signals were observed for multiple complementary physical properties, including magnetization, Hall ...
Yue Lu +12 more
wiley +1 more source
A survey of depth learning methods for detecting lung nodules by CT images(应用于平扫CT图像肺结节检测的深度学习方法综述)
Zhejiang Daxue xuebao. Lixue ban, 2017 肺癌是一种致死率很高的癌症.通过肺部平扫CT影像检测肺结节对肺癌早期诊断、治疗意义重大.全面介绍了 一种革命性的图像识别技术——深度学习方法，在肺结节检测中的应用.首先，横向对比了不同卷积神经网络的结构及其在图像识别上的效果，其次着重分析了不同深度学习方法在训练肺结节分类器上的应用，包括faster-RCNN、迁移学习、残差学习以及迁移学习.还介绍了一些可用的肺部CT影像数据集供读者参考.
HUWeijian(胡伟俭) +5 more
doaj +1 more source
Rare Metals, EarlyView.ABSTRACT The Schottky barrier height (SBH), which serves as a pivotal determinant of charge carrier injection efficiency in electronic devices, critically governs electrical behavior at metal/semiconductor interfaces. However, pronounced metal‐induced gap states at metal contact interfaces induce Fermi‐level pinning, which constrains the ...
Xiaofei Liu +10 more
wiley +1 more source