资源类型

期刊论文 24

会议视频 1

年份

2023 5

2022 2

2021 2

2020 5

2019 1

2018 3

2017 3

2015 1

2011 1

2009 1

2007 1

展开 ︾

关键词

DHA 和 sn-2 DHA 1

SIM 1

UML状态图；Coq；精化；结构化操作语义 1

sn-2棕榈酸甘油酯 1

三维扫描振镜 1

三维测量 1

二次谐波产生（SHG）-SIM 1

人乳替代脂 1

关键字搜索；图挖掘；信息检索；数据库；子团 1

单甘酯 1

压缩感知；多用户大规模MIMO；频分双工；结构化联合信道估计；导频开销降低 1

原位加工 1

多光子结构光照明超分辨显微成像 1

大脑 1

定量分析 1

棕榈酸 1

激光加工 1

线结构光 1

结构光照明超分辨显微成像 1

展开 ︾

检索范围：

排序： 展示方式：

Effect of counter current gas phase on liquid film

Shujuan LUO, Huaizhi LI, Weiyang FEI, Yundong WANG

《化学科学与工程前沿（英文）》 2009年 第3卷 第2期   页码 135-137 doi: 10.1007/s11705-009-0129-1

摘要： Liquid film flow is very important in many industrial applications. However, there are few reports about its characteristics on structured packings. Therefore, in this paper, liquid film phenomena were investigated experimentally to exploit new approaches for intensifying the performance of the structured packings. All experiments were performed at room temperature. Water and air were the working fluids. The effect of counter current gas phase on the liquid film was taken into consideration. A high speed camera, a non-intrusive measurement technique, was used. It is shown that both liquid and gas phases have strong effects on film characteristics. In the present work, liquid film width increased by 57% because of increasing liquid flow rate, while it decreased by 25% resulting from the counter current gas phase.

关键词： counter current     liquid film     two phases     structured packings    

HTML PDF 收藏

结构化稀疏学习综述 Review

Lin-bo QIAO, Bo-feng ZHANG, Jin-shu SU, Xi-cheng LU

《信息与电子工程前沿（英文）》 2017年 第18卷 第4期   页码 445-463 doi: 10.1631/FITEE.1601489

摘要： 稀疏学习由于其简约特性和计算优势而获得了越来越多的关注，在具有稀疏性的条件下，许多计算问题可以在实践中得到有效的处理。而结构化稀疏学习则进一步将结构信息进行编码，在多个研究领域取得成功。随着各类型结构的发现，人们相继提出了各种结构化正则函数。这些正则函数通过利用特定的结构信息极大提高了稀疏学习算法的性能。在本文中，我们从想法、形式化、算法和应用等方面系统的回顾了结构化稀疏学习。我们将这些算法置于最小化损失函数和惩罚函数的统一框架中，总结了算法的开源软件实现，并比较了典型优化算法解决结构化稀疏学习问题时的计算复杂度。在实验中，我们给出了无监督学习在结构化信号恢复和层次化图像重建中的应用，以及具有图结构引导的逻辑回归的在监督学习中的应用。

关键词： 结构化稀疏学习；算法；应用    

HTML PDF 收藏

Water quality soft-sensor prediction in anaerobic process using deep neural network optimized by Tree-structured

《环境科学与工程前沿（英文）》 2023年 第17卷 第6期 doi: 10.1007/s11783-023-1667-3

摘要：

● Hybrid deep-learning model is proposed for water quality prediction.

关键词： Water quality prediction     Soft-sensor     Anaerobic process     Tree-structured Parzen Estimator    

HTML PDF 收藏

Computational design of structured chemical products

Faheem Mushtaq, Xiang Zhang, Ka Y. Fung, Ka M. Ng

《化学科学与工程前沿（英文）》 2021年 第15卷 第5期   页码 1033-1049 doi: 10.1007/s11705-020-2002-1

摘要： In chemical product design, the aim is to formulate a product with desired performance. Ingredients and internal product structure are two key drivers of product performance with direct impact on the mechanical, electrical, and thermal properties. Thus, there is a keen interest in elucidating the dependence of product performance on ingredients, structure, and the manufacturing process to form the structure. Design of product structure, particularly microstructure, is an intrinsically complex problem that involves different phases of different physicochemical properties, mass fraction, morphology, size distribution, and interconnectivity. Recently, computational methods have emerged that assist systematic microstructure quantification and prediction. The objective of this paper is to review these computational methods and to show how these methods as well as other developments in product design can work seamlessly in a proposed performance, ingredients, structure, and manufacturing process framework for the design of structured chemical products. It begins with the desired target properties and key ingredients. This is followed by computation for microstructure and then selection of processing steps to realize this microstructure. The framework is illustrated with the design of nanodielectric and die attach adhesive products.

关键词： product design     performance     ingredients     structure     manufacturing process framework     structured chemical products     microstructure design    

HTML PDF 收藏

Efficient and selective electro-reduction of nitrobenzene by the nano-structured Cu catalyst prepared

Yali CHEN,Lu XIONG,Weikang WANG,Xing ZHANG,Hanqing YU

《环境科学与工程前沿（英文）》 2015年 第9卷 第5期   页码 897-904 doi: 10.1007/s11783-015-0782-1

摘要： Pollution caused by toxic nitrobenzene has been a widespread environmental concern. Selective reduction of nitrobenzene to aniline is beneficial to further efficient and cost-effective biologic treatment. Electrochemical reduction is a promising method and Cu-based catalysts have been found to be an efficient cathode material for this purpose. In this work, Cu catalysts with different morphologies were fabricated on Ti plate using a facile electrodepositon method via tuning the applied voltage. The dendritic nano-structured Cu catalysts obtained at high applied voltages exhibited an excellent efficiency and selectivity toward the reduction of nitrobenzene to aniline. Effects of the working potential and initial nitrobenzene concentration on the selective reduction of nitrobenzene to aniline using the Cu/Ti electrode were investigated. A high rate constant of 0.0251 min and 97.1% aniline selectivity were achieved. The fabricated nano-structured Cu catalysts also exhibited good stability. This work provides a facile way to prepare highly efficient, cost-effective, and stable nano-structured electrocatalysts for pollutant reduction.

关键词： nitrobenzene     nano-structured Cu     electro-reduction     voltage-dependent electrodeposition     high selectivity     high stability    

HTML PDF 收藏

Property-performance relationship of core-shell structured black TiO photocatalyst for environmental

《环境科学与工程前沿（英文）》 2023年 第17卷 第9期 doi: 10.1007/s11783-023-1711-3

摘要：

● Properties and performance relationship of CSBT photocatalyst were investigated.

关键词： Black TiO2     Core-shell structure     Property-performance relationship     Agro-industrial effluent     Environmental remediation    

HTML PDF 收藏

Erratum to: Efficient keyword search over graph-structured data based on minimal covered Erratum

Asieh Ghanbarpour, Abbas Niknafs, Hassan Naderi,naderi@iust.ac.ir

《信息与电子工程前沿（英文）》 2020年 第21卷 第6期   页码 809-962 doi: 10.1631/FITEE.18e0133

摘要： Unfortunately the second author’s name has been misspelt. It should be read: Abbas NIKNAFS.
HTML PDF 收藏

Impacts of cone-structured interface and aperiodicity on nanoscale thermal transport in Si/Ge superlattices

Pengfei JI, Yiming RONG, Yuwen ZHANG, Yong TANG

《能源前沿（英文）》 2018年 第12卷 第1期   页码 137-142 doi: 10.1007/s11708-018-0532-8

摘要： Si/Ge superlattices are promising thermoelectric materials to convert thermal energy into electric power. The nanoscale thermal transport in Si/Ge superlattices is investigated via molecular dynamics (MD) simulation in this short communication. The impact of Si and Ge interface on the cross-plane thermal conductivity reduction in the Si/Ge superlattices is studied by designing cone-structured interface and aperiodicity between the Si and Ge layers. The temperature difference between the left and right sides of the Si/Ge superlattices is set up for nonequilibrium MD simulation. The spatial distribution of temperature is recorded to examine whether the steady-state has been reached. As a crucial factor to quantify thermal transport, the temporal evolution of heat flux flowing through Si/Ge superlattices is calculated. Compared with the even interface, the cone-structured interface contributes remarkable resistance to the thermal transport, whereas the aperiodic arrangement of Si and Ge layers with unequal thicknesses has a marginal influence on the reduction of effective thermal conductivity. The interface with divergent cone-structure shows the most excellent performance of all the simulated cases, which brings a 33% reduction of the average thermal conductivity to the other Si/Ge superlattices with even, convergent cone-structured interfaces and aperiodic arrangements. The design of divergent cone-structured interface sheds promising light on enhancing the thermoelectric efficiency of Si/Ge based materials.

关键词： thermoelectric material     thermal transport     Si/Gesuperlattics     molecular dynamics (MD)    

HTML PDF 收藏

Experimental study of the effects of structured surface geometry on water spray cooling performance in

Minghou LIU, Yaqing WANG, Dong LIU, Kan XU, Yiliang CHEN

《能源前沿（英文）》 2011年 第5卷 第1期   页码 75-82 doi: 10.1007/s11708-010-0014-0

摘要： Experiments were conducted to study the effects of enhanced surfaces on heat transfer performance during water spray cooling in non-boiling regime. The surface enhancement is straight fin. The structures were machined on the top surface of heated copper blocks with a cross-sectional area of 10 mm×10 mm. The spray was performed using Unijet full cone nozzles with a volumetric flux of 0.044–0.053 m /(m ·s) and a nozzle height of 17 mm. It is found that the heat transfer is obviously enhanced for straight fin surfaces relative to the flat surface. However, the increment decreases as the fin height increases. For flat surface and enhanced surfaces with a fin height of 0.1 mm and 0.2 mm, as the coolant flux increases, the heat flux increases as well. However, for finned surface with a height of 0.4 mm, the heat flux is not sensitive to the coolant volumetric flux. Changed film thickness and the form of water/surface interaction due to an enhanced surface structure (different fin height) are the main reasons for changing of the local heat transfer coefficient.

关键词： spray cooling     finned surface     heat transfer    

HTML PDF 收藏

Deep convolutional tree-inspired network: a decision-tree-structured neural network for hierarchical

《机械工程前沿（英文）》 2021年 第16卷 第4期   页码 814-828 doi: 10.1007/s11465-021-0650-6

摘要： The fault diagnosis of bearings is crucial in ensuring the reliability of rotating machinery. Deep neural networks have provided unprecedented opportunities to condition monitoring from a new perspective due to the powerful ability in learning fault-related knowledge. However, the inexplicability and low generalization ability of fault diagnosis models still bar them from the application. To address this issue, this paper explores a decision-tree-structured neural network, that is, the deep convolutional tree-inspired network (DCTN), for the hierarchical fault diagnosis of bearings. The proposed model effectively integrates the advantages of convolutional neural network (CNN) and decision tree methods by rebuilding the output decision layer of CNN according to the hierarchical structural characteristics of the decision tree, which is by no means a simple combination of the two models. The proposed DCTN model has unique advantages in 1) the hierarchical structure that can support more accuracy and comprehensive fault diagnosis, 2) the better interpretability of the model output with hierarchical decision making, and 3) more powerful generalization capabilities for the samples across fault severities. The multiclass fault diagnosis case and cross-severity fault diagnosis case are executed on a multicondition aeronautical bearing test rig. Experimental results can fully demonstrate the feasibility and superiority of the proposed method.

关键词： bearing     cross-severity fault diagnosis     hierarchical fault diagnosis     convolutional neural network     decision tree    

HTML PDF 收藏

Preparation and properties of nano SiO2 core-shell structured additives and their nanocomposite with

KE Yangchuan, SUN Mingzhuo, SONG Yanxin, YANG GuangFu

《化学科学与工程前沿（英文）》 2007年 第1卷 第1期   页码 76-80 doi: 10.1007/s11705-007-0016-6

摘要： To improve the performance of traditional nucleation additives and their compatibility with other additives, as well as to solve complex problems in practical applications, SiO precursors were reactively grafted in situ with the symmetrical hydroxyl groups of the nucleation agents. With this approach, the dissymmetrical part of the nucleation agents plays an important role. As a result, the prepared composite additive the nanoparticle precursor (NPP0) produces excellent results. The NPP0-PP composite has a transparency of over 93%, haze lower than 15%, and a heat distortion temperature (HDT) of 142?C, which is more than the 110?C of the pure PP matrix. In addition, it maintains over 90% of the mechanical properties with a deformation coefficient less than 1%. This indicates a strong nanoeffect.

关键词： deformation coefficient     distortion temperature     excellent     NPP0-PP     traditional nucleation    

HTML PDF 收藏

ceramic-carbonate nanocomposite fuel cells using composite GDC/NLC electrolyte with different perovskite structured

Muhammad I. Asghar, Sakari Lepikko, Janne Patakangas, Janne Halme, Peter D. Lund

《化学科学与工程前沿（英文）》 2018年 第12卷 第1期   页码 162-173 doi: 10.1007/s11705-017-1642-2

摘要： A comparative analysis of perovskite structured cathode materials, La Sr MnO (LSM), La Sr CoO (LSC), La Sr FeO (LSF) and La Sr Co Fe O (LSCF), was performed for a ceramic-carbonate nanocomposite fuel cell using composite electrolyte consisting of Gd Ce O (GDC) and a eutectic mixture of Na CO and Li CO . The compatibility of these nanocomposite electrode powder materials was investigated under air, CO and air/CO atmospheres at 550 °C. Microscopy measurements together with energy dispersive X-ray spectroscopy (EDS) elementary analysis revealed few spots with higher counts of manganese relative to lanthanum and strontium under pure CO atmosphere. Furthermore, electrochemical impedance (EIS) analysis showed that LSC had the lowest resistance to oxygen reduction reaction (ORR) (14.12 Ω·cm ) followed by LSF (15.23 Ω·cm ), LSCF (19.38 Ω·cm ) and LSM (>300 Ω·cm ). In addition, low frequency EIS measurements (down to 50 µHz) revealed two additional semi-circles at frequencies around 1 Hz. These semicircles can yield additional information about electrochemical reactions in the device. Finally, a fuel cell was fabricated using GDC/NLC nanocomposite electrolyte and its composite with NiO and LSCF as anode and cathode, respectively. The cell produced an excellent power density of 1.06 W/cm at 550 °C under fuel cell conditions.

关键词： electrode     fuel cell     low-temperature     nanocomposite     perovskite    

HTML PDF 收藏

Magnetic Co-doped 1D/2D structured -FeO/MoS effectively activated peroxymonosulfate for efficient abatement

《环境科学与工程前沿（英文）》 2023年 第18卷 第3期 doi: 10.1007/s11783-024-1797-2

摘要：

● Magnetic Co- γ -Fe2O3/MoS2 were prepared via facile hydrothermal methods.

关键词： Magnetic Co-γ-Fe2O3/MoS2     Hydrothermal method     Bisphenol A     Degradation pathways     Toxicity analysis    

HTML PDF 收藏

基于谐波的多光子扫描结构光照明超分辨显微成像

汪磊, 郑晓敏, 周洁, 王美婷, 陈嘉杰, 曾佑君, 许改霞, 王颖, 邱海霞, 邵永红, 屈军乐, 高志, 顾瑛

《工程（英文）》 2022年 第16卷 第9期   页码 65-72 doi: 10.1016/j.eng.2021.12.010

摘要：

本文提出了一种利用多光子非线性效应的多光子结构光照明超分辨显微成像（multiphoton-structured illumination

关键词： 超分辨显微成像     结构光照明超分辨显微成像     多光子结构光照明超分辨显微成像     SIM     二次谐波产生（SHG）-SIM    

HTML PDF 收藏

多用户大规模MIMO系统中基于压缩感知的结构化联合信道估计 Article

Ruo-yu ZHANG, Hong-lin ZHAO, Shao-bo JIA

《信息与电子工程前沿（英文）》 2017年 第18卷 第12期   页码 2082-2100 doi: 10.1631/FITEE.1601635

摘要： 由于在基站处部署了大量天线，因而在大规模MIMO（multiple input multiple output）系统中发射机端获取信道状态信息需要大量的导频开销。为降低该系统所消耗的导频资源，本文基于压缩感知技术，提出了一种结构化联合信道估计的方法。首先分析了实际散射环境造成的角度域信道稀疏性，其中大规模MIMO系统中地理位置临近用户的信道矩阵存在共有稀疏结构和独立稀疏结构。同时，在压缩感知的框架下，用户配备多根天线能够进一步缓解导频开销的问题并能够提高信道估计的质量。在此基础上，本文提出了一种结构化联合信道估计算法，该算法能够以低导频开销联合估计多个用户的信道状态信息。此外，提供了该算法的共有支撑集恢复的概率上界和信道估计质量的上界。仿真结果表明该结构化联合信道估计算法能提供比现有算法更低的导频开销和更高的系统吞吐量。

关键词： 压缩感知；多用户大规模MIMO；频分双工；结构化联合信道估计；导频开销降低    

HTML PDF 收藏

标题 作者 时间 类型 操作

Effect of counter current gas phase on liquid film

Shujuan LUO, Huaizhi LI, Weiyang FEI, Yundong WANG

期刊论文

结构化稀疏学习综述

Lin-bo QIAO, Bo-feng ZHANG, Jin-shu SU, Xi-cheng LU

期刊论文

Water quality soft-sensor prediction in anaerobic process using deep neural network optimized by Tree-structured

期刊论文

Computational design of structured chemical products

Faheem Mushtaq, Xiang Zhang, Ka Y. Fung, Ka M. Ng

期刊论文

Efficient and selective electro-reduction of nitrobenzene by the nano-structured Cu catalyst prepared

Yali CHEN,Lu XIONG,Weikang WANG,Xing ZHANG,Hanqing YU

期刊论文

Property-performance relationship of core-shell structured black TiO photocatalyst for environmental

期刊论文

Erratum to: Efficient keyword search over graph-structured data based on minimal covered

Asieh Ghanbarpour, Abbas Niknafs, Hassan Naderi,naderi@iust.ac.ir

期刊论文

Impacts of cone-structured interface and aperiodicity on nanoscale thermal transport in Si/Ge superlattices

Pengfei JI, Yiming RONG, Yuwen ZHANG, Yong TANG

期刊论文

Experimental study of the effects of structured surface geometry on water spray cooling performance in

Minghou LIU, Yaqing WANG, Dong LIU, Kan XU, Yiliang CHEN

期刊论文

Deep convolutional tree-inspired network: a decision-tree-structured neural network for hierarchical

期刊论文

Preparation and properties of nano SiO2 core-shell structured additives and their nanocomposite with

KE Yangchuan, SUN Mingzhuo, SONG Yanxin, YANG GuangFu

期刊论文

ceramic-carbonate nanocomposite fuel cells using composite GDC/NLC electrolyte with different perovskite structured

Muhammad I. Asghar, Sakari Lepikko, Janne Patakangas, Janne Halme, Peter D. Lund

期刊论文

Magnetic Co-doped 1D/2D structured -FeO/MoS effectively activated peroxymonosulfate for efficient abatement

期刊论文

基于谐波的多光子扫描结构光照明超分辨显微成像

汪磊, 郑晓敏, 周洁, 王美婷, 陈嘉杰, 曾佑君, 许改霞, 王颖, 邱海霞, 邵永红, 屈军乐, 高志, 顾瑛

期刊论文

多用户大规模MIMO系统中基于压缩感知的结构化联合信道估计

Ruo-yu ZHANG, Hong-lin ZHAO, Shao-bo JIA

期刊论文