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Fault Tolerant Design of Large-Scale Digital Beam Forming in SRAM-FPGAs for Software Defined Satellite Platforms

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China Communications 2020年第7期17卷 67-79页

作者： Zhen Gao jinhua Zhu Tong Yan Linghua Guo Xiangping Chen Yinqiao Li Xiaolei Wan School of Electrical and Information Engineering Tianjin UniversityTianjin 300072China China Academy of Space Technology Beijing 100094China

Large scale digital beamforming(LS-DBFs)are widely used in satellite communications for spectrum reuse and transmission ***-FPGAs are a popular option for software defined satellite platforms due to their rich computation resources and high ***,they are sensitive to soft errors,which limit their application in *** paper discusses the application of coding based fault tolerance schemes for the protection of LS-DBFs on software defined *** multiple FPGAs are usually needed to support the whole LS-DBFs system,different decomposition schemes are compared in terms of resource efficiency and reliability when the coding based scheme is applied to protect the DBFs on a *** analysis and hardware experiments shows that resource efficiency and reliability are a pair of contradictory requirements for decomposition *** protection with vertical decomposition could improve the reliability by 96%with 1.5x *** the protection with horizontal decomposition could improve the reliability by 85%with 1.2 x redundancy.

关键词： FPGAs payload hardware

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空气过滤用静电纺纳米纤维材料研究进展

纺织学报 2024年第8期45卷 35-43页

作者：刘嘉炜季东晓覃小红东华大学纺织学院上海201620 东华大学纺织科技创新中心上海201620

面对日益严重的空气污染,传统过滤材料的过滤效率低且过滤阻力大,静电纺纳米纤维材料具有高孔隙率、大比表面积等特性,过滤效率高且过滤阻力小,可广泛应用于空气过滤及个人防护等领域。为此,首先从加工方式方面综述了3种静电纺丝法,不... 详细信息

面对日益严重的空气污染,传统过滤材料的过滤效率低且过滤阻力大,静电纺纳米纤维材料具有高孔隙率、大比表面积等特性,过滤效率高且过滤阻力小,可广泛应用于空气过滤及个人防护等领域。为此,首先从加工方式方面综述了3种静电纺丝法,不同的方法可获得不同尺度的纤维;其次,从不同纳米纤维材料结构和功能化制备角度,系统综述了空气过滤纳米纤维材料的最新研究进展;最后对规模化制备及纺丝原理进行论述,并展望了未来发展趋势。研究认为:需要深入研究静电纺丝机制,进一步研究电场、溶液、纤维成形之间的影响机制与构效关系开发新技术,来实现静电纺纳米纤维材料的规模化宏量制备;在此基础上对其进行功能化改进,研发具备自清洁、抗菌和传感等功能的空气过滤纳米纤维材料,以提高其在空气过滤领域的应用价值。

关键词：空气过滤静电纺丝纳米纤维材料规模化制备功能化

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用于水声目标识别的注意力机制特征增强

声学学报 2024年第4期49卷 664-670页

作者：任佳威谢源徐及颜永红中国科学院声学研究所语言声学与内容理解重点实验室北京100190 中国科学院大学北京100049

提出了一种基于注意力机制的特征增强网络(FEAN)用于水声目标的识别,该方法以水声目标辐射噪声信号的线谱信息和调制信息为基础,采用可学习的注意力模块,一方面依照后端的分类任务,对特征进行线性的自适应滤波操作,保留对分类任务有效... 详细信息

提出了一种基于注意力机制的特征增强网络(FEAN)用于水声目标的识别,该方法以水声目标辐射噪声信号的线谱信息和调制信息为基础,采用可学习的注意力模块,一方面依照后端的分类任务,对特征进行线性的自适应滤波操作,保留对分类任务有效的信息,并且滤除干扰;另一方面利用线谱信息在时域上的相干性,调制信息在频域上的相关性来优化时频谱图特征。在DeepShip和Shipsear公开数据集上的实验结果表明,相比于以传统的短时傅里叶变换(STFT)和Fbank特征作为输入的识别模型,FEAN在两个数据集上分别获得了4.5%和1.2%的识别准确率提升。

关键词：水声目标识别深度学习注意力机制特征增强

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可视化的煤灰高温流动特性试验研究

煤炭学报 2022年第S1期47卷 323-330页

作者：李辉罗佳伟季梦婷周昊浙江大学能源清洁利用国家重点实验室浙江杭州310027 华能国际电力股份有限公司北京100031

煤灰渣的流动特性是影响液态排渣的重要因素之一,为了确保液态排渣的顺利进行,充分了解相关灰渣在高温下的熔融及流动特性是很有必要的。本研究的主要目的是开发一种可以用于煤灰的高温流动特性的可视化测量方法,以便对试验煤灰的流动... 详细信息

煤灰渣的流动特性是影响液态排渣的重要因素之一,为了确保液态排渣的顺利进行,充分了解相关灰渣在高温下的熔融及流动特性是很有必要的。本研究的主要目的是开发一种可以用于煤灰的高温流动特性的可视化测量方法,以便对试验煤灰的流动特性进行更多的了解。提出的可视化测量方法中,采用CCD相机对将二煤灰、塔城煤灰以及准东煤灰的整个流动过程进行了实时监测,并结合了MATLAB等图像处理软件获得了各煤灰样品的流动长度、流动速度对温度的变化结果。在该可视化测量方法中,灰渣样品预先被热处理后粘附在刚玉片上,然后采用倒挂流动的形式进行试验。试验中灰渣样品的流动减少了基板的接触,流动阻力得到了优化。此外,可以通过图像处理得到灰渣的各种形态参数,结合多个参数进行高温流动特性的综合考量。为了验证试验结果的可靠性,还借助了FactSage软件计算了不同温度下煤灰的黏度,并将计算结果与试验结果进行了比对分析。研究结果表明,3种煤灰中将二煤的流动性能相对最差,其他2种煤灰的流动性则更为接近。获得了各个样品的黏度特征温度和流动特征温度,将二煤、塔城煤和准东煤样品的特征黏度温度T_(25)分别为1324,1302和1298℃,而3种煤的临界流动温度T_(C)分别为1299,1282和1279℃。上述的特征温度结果可为相关领域的工作人员提供一定的参考信息。矿物分析表明煤灰烧结过程形成了低熔点的蓝方石,蓝方石的熔融使得煤灰的流动性得到一定的促进,而形成的高熔点镁系矿物(镁黄长石、镁铁尖晶石等)则抑制了煤灰流动。总体而言,通过对流动试验与黏度计算结果的比对分析,该可视化测量方法的测量结果与黏度结果较为吻合,某种程度上证实了该方法的有效性。

关键词：煤灰熔融特性流动特性 FactSage 矿物分析

Study on Preparation of Lanthanum and Nitrogen Doped Modified Titanium Dioxide for Degradation of NOx in Air

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Study on Preparation of Lanthanum and Nitrogen Doped Modifie...

Big data technology in infectious diseases modeling,simulation,and prediction after the COVID-19 outbreak

第十八届中国科协年会——分12 大气雾霾及PM2.5控制先进技术研讨会

作者： jiawei ZHANG Shengjie YOU Yafen WANG Zhenyu WANG Yu HUANG Jun-ji CAO Department of Environmental Engineering Chung Yuan Christian University Key Laboratory of Aerosol Chemistry and Physics Institute of Earth Environment Chinese Academy of Sciences

In this study, lanthanum and nitrogen was doped individually with titanium dioxide and prepared using sol-gel method. The tests of different doping ratio, different calcination temperature, different calcination time, different environment humidity and stability was investigated to find the best condition in making an effective catalyst. Finally, different characteristic analyses were used to reveal that lanthanum and nitrogen doped titanium dioxide has better photocatalytic activity than pure titanium dioxide. The results showed that lanthanum doped titanium dioxide showed its best photocatalytic activity with mass ratio of 3%, the visible light activity and simulated solar light activity was 32.0% and 38.5%, respectively. Nitrogen doped titanium dioxide had its best photocatalytic activity with mass ratio of 63.3%, the visible light activity and simulated solar light activity was 25.6% and 39.3%, respectively. The lanthanum and nitrogen doped titanium dioxide had the best photocatalytic activity in calcination temperature of 500 oC and calcination time of 5 h. In the experiment of different environment humidity, the efficiency of lanthanum and nitrogen doped titanium dioxide in removing NO under visible light decreased. The efficiency of lanthanum and nitrogen doped titanium dioxide in removing NO under simulated solar light increased and produced large of NO. In the experiment of stability test, the efficiency of lanthanum and nitrogen doped titanium dioxide in removing NO under visible light was 23.4% and 17.9%, respectively after five cycles. The efficiency of lanthanum and nitrogen doped titanium dioxide in removing NO under simulated solar light was 40.2% and 35.2%, respectively after five cycles.

关键词： NOx sol-gel method titanium dioxide photocatalytic

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Intelligent Medicine 2023年第2期3卷 85-96页

作者： Honghao Shi jingyuan Wang jiawei Cheng Xiaopeng Qi Hanran ji Claudio J Struchiner Daniel AM Villela Eduard V Karamov Ali S Turgiev School of Computer Science and Engineering Beihang UniversityBeijing 100191China Center for Global Public Health Chinese Center for Disease Control and PreventionBeijing 102211China Fundação Getúlio Vargas Rio de JaneiroBrazil Instituto de Medicina Social Hesio Cordeiro Universidade do Estado do Rio de JaneiroRio de JaneiroBrazil Programa de Computação Científica Fundação Oswaldo CruzRio de JaneiroBrazil Gamaleya National Research Center for Epidemiology and Microbiology of the Russian Ministry of Health Russia National Medical Research Center of Phthisiopulmonology and Infectious Diseases of the Russian Ministry of Health Russia

After the outbreak of COVID-19,the interaction of infectious disease systems and social systems has challenged traditional infectious disease modeling *** from the research purpose and data,researchers im-proved the structure and data of the compartment model or used agents and artificial intelligence based models to solve epidemiological *** terms of modeling methods,the researchers use compartment subdivi-sion,dynamic parameters,agent-based model methods,and artificial intelligence related *** terms of factors studied,the researchers studied 6 categories:human mobility,nonpharmaceutical interventions(NPIs),ages,medical resources,human response,and *** researchers completed the study of factors through modeling methods to quantitatively analyze the impact of social systems and put forward their suggestions for the future transmission status of infectious diseases and prevention and control *** review started with a research structure of research purpose,factor,data,model,and *** on the post-COVID-19 infectious disease prediction simulation research,this study summarized various improvement methods and analyzes matching improvements for various specific research purposes.

关键词： Infectious disease model Data embedding Social system Dynamic Modeling the social systems

多粒度PPI网络描述模型及其蚁群优化的功能模块检测方法

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中国科技论文 2014年第7期9卷 762-769页

作者：冀俊忠吕嘉伟北京工业大学计算机学院北京100124

针对蚁群算法在大规模蛋白质相互作用(protein-protein interaction,PPI)网络中进行功能模块检测所暴露的时间性能方面的不足,提出了一种基于多粒度描述和蚁群优化的快速求解算法。首先,从粒度计算的角度,给出了一种新的多粒度PPI网络... 详细信息

针对蚁群算法在大规模蛋白质相互作用(protein-protein interaction,PPI)网络中进行功能模块检测所暴露的时间性能方面的不足,提出了一种基于多粒度描述和蚁群优化的快速求解算法。首先,从粒度计算的角度,给出了一种新的多粒度PPI网络描述模型;然后,基于该模型,设计了融合功能和结构信息的粒度划分,粗粒度的蚁群寻优,解的还原与优化3个阶段的求解过程。在大规模PPI网络上的实验表明:算法在保证检测质量的同时,能显著降低利用蚁群算法进行功能模块检测的求解时间,而且与近年来的一些经典算法相比在检测精度上也具有一定的优势。

关键词：蛋白质相互作用网络功能模块检测多粒度描述模型蚁群优化

基于多尺度特征融合与多任务学习框架的非侵入式负荷监测方法

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电网技术 2024年第5期48卷 2074-2083,I0072页

作者：陈嘉伟季天瑶梅广刘紫罡华南理工大学电力学院广东省广州市510641

随着建筑物能源消耗的不断升高,高精度与高泛化能力的非侵入式负荷监测技术的研究具有重大意义。针对当前负荷分解方法存在的问题,提出了一种基于多尺度特征融合与多任务学习框架的非侵入式负荷监测方法。将实例-批归一化网络与U形网络... 详细信息

随着建筑物能源消耗的不断升高,高精度与高泛化能力的非侵入式负荷监测技术的研究具有重大意义。针对当前负荷分解方法存在的问题,提出了一种基于多尺度特征融合与多任务学习框架的非侵入式负荷监测方法。将实例-批归一化网络与U形网络结合,提取总负荷数据的上下文信息,并利用跨越连接实现对不同尺度的细节特征与全局特征的融合。针对多特征特点,引入高效通道注意力网络,使模型聚焦重要特征。引入多任务学习框架与后处理操作,去除输出的假阳性片段,实现对目标电器的精准识别。将所提模型与几种代表性模型在UK-DALE(UK domestic appliance-level electricity)数据集与REDD(reference energy disaggregation data set)上进行对比实验,结果表明,所提模型的性能优于对比模型,具有出色的负荷分解能力与状态识别能力。

关键词：非侵入式负荷监测实例-批归一化网络多尺度特征融合高效通道注意力网络多任务学习

Targeting a novel inducible GPX4 alternative isoform to alleviate ferroptosis and treat metabolic-associated fatty liver disease

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Acta Pharmaceutica Sinica B 2022年第9期12卷 3650-3666页

作者： jie Tong Dongjie Li Hongbo Meng Diyang Sun Xiuting Lan Min Ni jiawei Ma Feiyan Zeng Sijia Sun jiangtao Fu Guoqiang Li Qingxin ji Guoyan Zhang Qirui Shen Yuanyuan Wang jiahui Zhu Yi Zhao Xujie Wang Yi Liu Shenxi Ouyang Chunquan Sheng Fuming Shen Pei Wang Department of Pharmacy Shanghai Tenth People’s HospitalTongji University School of MedicineShanghai 200072China Department of Pharmacology School of PharmacyNaval Medical University/Second Military Medical UniversityShanghai 200433China Department of General Surgery Shanghai Tenth People’s HospitalTongji University School of MedicineShanghai 200072China Department of Pharmacy Shanghai Fourth People’s HospitalTongji University School of MedicineShanghai 200081China Shanghai Key Laboratory of Regulatory Biology Institute of Biomedical Sciences and School of Life SciencesEast China Normal UniversityShanghai 200241China Chemical Biology Research Center School of Pharmaceutical SciencesWenzhou Medical UniversityWenzhou 325000China Department of Medicinal Chemistry School of PharmacyNaval Medical University/Second Military Medical UniversityShanghai 200433China Institute of Nuclear Medicine Tongji University School of MedicineShanghai 200072China

Metabolic-associated fatty liver disease(MAFLD),which is previously known as non-alcoholic fatty liver disease(NAFLD),represents a major health concern worldwide with limited ***,we provide evidence that ferroptosis,a novel form of regulated cell death characterized by iron-driven lipid peroxidation,was comprehensively activated in liver tissues from MAFLD *** canonical-GPX4(cGPX4),which is the most important negative controller of ferroptosis,is downregulated at protein but not mRNA ***,a non-canonical GPX4 transcript-variant is induced(inducible-GPX4,iGPX4)in MAFLD *** high fat-fructose/sucrose diet(HFFD)and methionine/choline-deficient diet(MCD)-induced MAFLD pathologies,including hepatocellular ballooning,steatohepatitis andﬁbrosis,were attenuated and aggravated,respectively,in cGPX4-and iGPX4-knockin ***4 and iGPX4 isoforms also displayed opposing effects on oxidative stress and ferroptosis in *** of iGPX4 by siRNA alleviated lipid stress,ferroptosis and cell ***,the triggered iGPX4 interacts with cGPX4 to facilitate the transformation of cGPX4 from enzymatic-active monomer to enzymatic-inactive oligomers upon lipid stress,and thus promotes ***-immunoprecipitation and nano LC–MS/MS analyses confirmed the interaction between iGPX4 and *** results reveal a detrimental role of non-canonical GPX4 isoform in ferroptosis,and indicate selectively targeting iGPX4 may be a promising therapeutic strategy for MAFLD.

关键词： Ferroptosis GPX4 Alternative isoform Fatty liver Oligomerization Methionine/choline-deficient diet High fat-fructose/sucrose diet Protein interaction