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Crystallographic Understanding of Photoelectric Properties for C_(60) Derivatives Applicable as Electron Transporting Materials in Perovskite Solar Cells

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Chemical Research in Chinese Universities 2022年第1期38卷 75-81页

作者： XING Zhou LI Shu-hui XU Piao-Yang TIAN Han-Rui DENG Lin-Long YAO Yang-Rong chen Bin-Wen XIE Fang-Fang AN Ming-Wei YUN Da-Qin XIE Su-Yuan ZHENG Lan-Sun State Key Lab for Physical Chemistry of Solid Surfaces iChEM(Collaborative Innovation Center of Chemistry for Energy Materials)Department of ChemistryCollege of Chemistry and Chemical EngineeringXiamen UniversityXiamen 361005P.R.China Pen-Tung Sah Institute of Micro-Nano science and technology Xiamen UniversityXiamen 361005P.R.China College of Energy Xiamen UniversityXiamen 361005P.R.China

Hundreds of C60 derivatives stand out as electrontransporting materials(ETMs), for example, in perovskite solar cells(PSCs), due to their properties on electron extraction or defect passivation. However, it still lacks of guidelines to update C60-based ETMs with excellent photoelectric properties. In this work, crystallographic data of eight C60-based ETMs, including pristine C60 and the well-known PCBM as well as six newly synthesized fullerenes, are analyzed to establish the connections between derivatized structures and photoelectric properties for the typical carbon cluster of C60. In terms of packing centroid-centroid distance between neighboring carbon cages, the crystallographic data are useful for probing photoelectric properties, such as electrochemical properties, electron mobility and photovoltaic performances, and therefore facilitate to design novel C60-based ETMs for PSCs with high performances.

关键词： Perovskite solar cell(PSC) Electron transporting material(ETM) Fullerene Power conversion efficiency Crystallographic understanding

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高分子化学课程教学改革与实践

化工高等教育 2024年第2期41卷 83-89页

作者：陈学刚华静青岛科技大学高分子科学与工程学院山东青岛266042

随着信息和互联网技术的发展,课程改革面临新的要求。青岛科技大学结合一流课程建设,在高分子化学课程教学中,以学生为中心,对教学内容进行优化,并将思政元素贯穿教学过程;同时加强教学活动的过程设计和管理,采用多元化考核评价方式。... 详细信息

随着信息和互联网技术的发展,课程改革面临新的要求。青岛科技大学结合一流课程建设,在高分子化学课程教学中,以学生为中心,对教学内容进行优化,并将思政元素贯穿教学过程;同时加强教学活动的过程设计和管理,采用多元化考核评价方式。此次教学改革调动了学生学习的主动性,提高了平时成绩的区分度,使学生对知识点的掌握更加牢固。

关键词：高分子化学一流课程教学改革

A matrix grammar approach for automatic distributed network resource management

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Frontiers of Computer science 2013年第4期7卷 583-594页

作者： Weidong MIN Ke chen YongzhenKE school of Computer science and Software engineering Tianjin Polytechnic University Tianjin 300387 China

Network resource management is critical to ensure the security and optimal performance of distributed networks and information systems. Existing technologies are not capable of managing large-scale network resources because of a lack of reusability and scalability. This paper presents a matrix grammar approach for automatic distributed network resource management to alleviate these problems. A matrix grammar is proposed using WMI, CIM, and SNMP to manage network resources, and provides a generic mechanism to describe what needs to be managed and how to manage it. A scalable distributed multi-agent architecture for automatic network resource management is proposed, at its core lies a management automation engine consisting of a matrix analyzer and a recipe processor. The proposed solution has been implemented in software and applied in industrial products that achieve good technical and industrial results. It has good extensibility, scalability, ment automation and software and enables network managereusability.

关键词： network management multi-agent matrixgrammar WMI CIM SNMP distributed networks

基于图注意力LSTM深度学习的季度GDP预测应用

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湖南工程学院学报（社会科学版） 2024年第1期34卷 54-64,118页

作者：龙志陈湘州湖南科技大学商学院湖南湘潭411201 湖南省战略性新兴产业研究基地湖南湘潭411201 湖南省新型工业化研究基地湖南湘潭411201

GDP预测一直以来都是宏观经济领域的重要研究议题。同时,融合深度学习算法并实时监测GDP的动态变化已是宏观经济指标预测的必然趋势。基于此,本文考虑到宏观经济变量的多源非线性时空特征,提出了一种新的GAT LSTM融合深度学习模型并对季... 详细信息

GDP预测一直以来都是宏观经济领域的重要研究议题。同时,融合深度学习算法并实时监测GDP的动态变化已是宏观经济指标预测的必然趋势。基于此,本文考虑到宏观经济变量的多源非线性时空特征,提出了一种新的GAT LSTM融合深度学习模型并对季度GDP进行预测。该模型采用图注意力网络(GAT)捕捉空间拓扑结构信息,并运用长短期记忆神经网络(LSTM)提取时间序列信息,以提高模型预测效果。结果表明:与其他基准模型相比,本文所提出的GAT LSTM模型在回归拟合度(R^(2))上平均提升了0.5929、均方误差(MSE)上平均下降了0.6617,具有良好的泛化能力和鲁棒性。该模型在GDP预测领域具有较好的应用前景,以帮助投资者、企业和国家作出科学决策,提高经济效益。

关键词： GDP预测图注意力网络长短期记忆神经网络深度学习

SR-DCSK Cooperative Communication System with Code Index Modulation:A New Design for 6G New Radios

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中国通信:英文版 2023年第10期20卷 1-16页

作者： Yi Fang Wang chen Pingping chen Yiwei Tao Mohsen Guizani school of information engineering Guangdong University of TechnologyGuangzhou 510006China school of Advanced Manufacturing Fuzhou UniversityJinjiang campus362251China Department of Machine Learning MBZUAIAbu Dhabi999041UAE

This paper proposes a high-throughput short reference differential chaos shift keying cooperative communication system with the aid of code index modulation,referred to as CIM-SR-DCSK-CC *** the proposed CIM-SR-DCSK-CC system,the source transmits information bits to both the relay and destination in the first time slot,while the relay not only forwards the source information bits but also sends new information bits to the destination in the second time *** be specific,the relay employs an N-order Walsh code to carry additional log_(2)N information bits,which are superimposed onto the SRDCSK signal carrying the decoded source information ***,the superimposed signal carrying both the source and relay information bits is transmitted to the ***,the theoretical bit error rate(BER)expressions of the proposed CIMSR-DCSK-CC system are derived over additive white Gaussian noise(AWGN)and multipath Rayleigh fading *** with the conventional DCSKCC system and SR-DCSK-CC system,the proposed CIM-SR-DCSK-CC system can significantly improve the throughput without deteriorating any BER *** a consequence,the proposed system is very promising for the applications of the 6G-enabled lowpower and high-rate communication.

关键词： differential chaos shift keying cooperative communication short reference code index modulation high throughput bit error rate

Collaborative validation of GlobeLand30:Methodology and practices

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Geo-Spatial information science 2021年第1期24卷 134-144,I0014页

作者： Jun chen Lijun chen Fei chen Yifang Ban Songnian Li Gang Han Xiaohua Tong Chuang Liu Vanya Stamenova Stefan Stamenov National Geomatics Centre of china BeijingChina East china university of technology NanchangChina Department of Urban Planning&Environment KTH Royal Institute of TechnologyStockholmSweden Department of Civil engineering Ryerson UniversityTorontoCanada College of Surveying and Geo-Informatics Tongji UniversityShanghaiChina Institute of Geographic sciences and Natural Resources Research Chinese Academy of SciencesBeijingChina Space Research and technology Institute Bulgarian Academy of SciencesSofiaBulgaria

30-m Global Land Cover(GLC)data products permit the detection of land cover changes at the scale of most human land activities,and are therefore used as fundamental information for sustainable development,environmental change studies,and many other societal benefit *** the past few years,increasing efforts have been devoted to the accuracy assessment of GlobeLand30 and other finer-resolution GLC data ***,most of them were conducted either within a limited percentage of map sheets selected from a global scale or in some individual countries(areas),and there are still many areas where the uncertainty of 30-m resolution GLC data products remains to be validated and *** order to promote a comprehensive and collaborative validation of 30-m GLC data products,the GEO Global Land Cover Community Activity had organized a project from 2015 to 2017,to examine and explore its major problems,including the lack of international agreed validation guidelines and on-line tools for facilitating collaborative validation *** the joint effort of experts and users from 30 GEO member countries or participating organizations,a technical specification for 30-m GLC validation was developed based on the findings and *** on-line validation tool,GLCVal,was developed by integrating land cover validation procedures with the service computing *** 20 countries(regions)have completed the accuracy assessment of GlobeLand30 for their territories with the guidance of the technical specification and the support of GLCVal.

关键词： Land cover GlobeLand30 validation accuracy Assessment collaborative

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一种新型并联动力头的前馈控制策略与实验

天津大学学报（自然科学与工程技术版） 2014年第8期47卷 672-676页

作者：陈闯王辉庄嘉兴天津大学机构理论与装备设计教育部重点实验室天津300072

为满足高速并联动力头在高速加工时的动态控制精度要求,研究了基于Turbo PMAC运动控制器的动力学控制方法,提出一种基本伺服算法与动力学前馈补偿相结合的控制策略.通过二次插补获得粗插补信息,再根据虚功原理建立力矩补偿模型.利用Turb... 详细信息

为满足高速并联动力头在高速加工时的动态控制精度要求,研究了基于Turbo PMAC运动控制器的动力学控制方法,提出一种基本伺服算法与动力学前馈补偿相结合的控制策略.通过二次插补获得粗插补信息,再根据虚功原理建立力矩补偿模型.利用Turbo PMAC的力矩偏置设置功能,将补偿力矩按照粗插补周期发送给基本伺服系统,进而减少偏差反馈所需的控制能量.在新型三坐标并联动力头上进行了不同工况的实验,证明该控制策略易于实现,通用性强,可大幅减少高速运动下的跟随误差和力矩波动,明显改善系统的动态特性,提高运动精度.

关键词：并联动力头动力学前馈策略粗插补虚功原理

产教-军民双融合的复合型人才培养模式改革与实践研究

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江苏科技信息 2024年第18期41卷 39-43,81页

作者：马龙陈晓妮西安航空学院民航学院陕西西安710077 西安外事学院工学院陕西西安710077

针对产教与军民的独立融合人才培养模式和实践路径不清晰问题,文章提出了产教-军民双融合的复合型人才培养模式与实践路径。首先,系统分析了产教-军民双融合发展现状和存在的问题,明确了产教-军民双融合复合型人才培养目标;其次,面对产... 详细信息

针对产教与军民的独立融合人才培养模式和实践路径不清晰问题,文章提出了产教-军民双融合的复合型人才培养模式与实践路径。首先,系统分析了产教-军民双融合发展现状和存在的问题,明确了产教-军民双融合复合型人才培养目标;其次,面对产教-军民双融合复合型人才培养模式独立问题,分别构建了双融合复合型人才培养模式、一主线双引领递进式专业课程结构模式和四螺旋混合教学模式,整体构建了复合型人才培养、课程体系和教学内容的融合模式;最后,根据产教-军民双融合复合型人才培养实践要求,分别构建了分层递进式复合型人才培养实践体系和机制,给出了复合型人才培养实践启示。

关键词：产教融合军民融合复合型人才混合式立体教学模式

一种DDMCN火焰图像特征提取的转炉炼钢碳含量实时预测方法

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控制与决策 2023年第10期38卷 2795-2804页

作者：刘旭琛刘辉陈甫刚李超昆明理工大学信息工程与自动化学院昆明650500 昆明理工大学云南省人工智能重点实验室昆明650500 云南昆钢电子信息科技有限公司昆明650500

转炉炼钢终点控制作为吹炼末期重要操作的关键是碳含量准确实时预测,而熔池中碳含量的氧化速率能够反映在炉口火焰纹理变化上,因此提取火焰纹理的准确特征是终点碳含量预测的关键,但是火焰纹理具有多方向多尺度不规则的特征描述难点.鉴... 详细信息

转炉炼钢终点控制作为吹炼末期重要操作的关键是碳含量准确实时预测,而熔池中碳含量的氧化速率能够反映在炉口火焰纹理变化上,因此提取火焰纹理的准确特征是终点碳含量预测的关键,但是火焰纹理具有多方向多尺度不规则的特征描述难点.鉴于此,提出一种导数非线性映射方向加权多层复杂网络彩色纹理描述符,符合火焰不规则纹理的多尺度多方向特点.首先,将HSI空间下火焰图像映射至相位空间以增强空间位置关联信息;然后,基于复杂网络给出一种反映不同尺度顶点间连续变化的导数关系权重公式,结合方向信息构建炉口火焰图像的多尺度不规则方向加权彩色纹理复杂网络;最后,计算顶点方向加权度特征量化复杂网络拓扑连接模式,构建火焰彩色纹理特征,建立KNN回归模型预测终点碳含量.实验结果表明,所提出算法满足实际转炉炼钢吹炼过程实时性要求.

关键词：转炉炼钢特征提取纹理分析复杂网络高阶局部导数模式彩色纹理