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VBMq： pursuit baremetal performance by embracing block I/O parallelism in virtualization

Frontiers of Computer Science 2018年第5期12卷 873-886页

作者： Diming ZHANG Fei XUE Hao HUANG shaodi you Faculty of Computer Science and Technology Nanjing University Nanjing 210023 China College of Computer Science and Engineering Jiangsu University of Science and Technology Zhenjiang 212003 China College of Engineering and Computer Science Australian National University Canberra 2600 Australia Data61-CSIRO Australian National University Canberra 2600 Australia

Barely acceptable block I/O performance prevents virtualization from being widely used in the HighPerformance Computing field. Although the virtio paravirtual framework brings great I/O performance improvement, there is a sharp performance degradation when accessing high-performance NAND-flash-based devices in the virtual machine due to their data parallel design. The primary cause of this fact is the deficiency of block I/O parallelism in hypervisor, such as KVM and Xen. In this paper, we propose a novel design of block I/O layer for virtualization, named VBMq. VBMq is based on virtio paravirtual I/O model, aiming to solve the block I/O parallelism issue in virtualization. It uses multiple dedicated I/O threads to handle I/O requests in parallel. In the meanwhile, we use polling mechanism to alleviate overheads caused by the frequent context switches of the VM＇s notification to and from its hypervisor. Each dedicated I/O thread is assigned to a non-ovedapping core to improve performance by avoiding unnecessary scheduling. In addition, we configure CPU affinity to optimize I/O completion for each request. The CPU affinity setting is very helpful to reduce CPU cache miss rate and increase CPU efficiency. The prototype system is based on Linux 4.1 kernel and QEMU 2.3.1. Our measurements show that the proposed method scales graciously in the multi-core environment, and provides performance which is 39.6x better than the baseline at most, and approaches bare-metal performance.

关键词： high-performance parallelism paravirtual I/O

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RGB-guided hyperspectral image super-resolution with deep progressive learning

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CAAI Transactions on Intelligence Technology 2024年第3期9卷 679-694页

作者： Tao Zhang Ying Fu Liwei Huang Siyuan Li shaodi you Chenggang Yan School of Computer Science and Technology Beijing Institute of TechnologyBeijingChina Satellite Information Intelligent Processing and Application Research Laboratory Beijing Institute of Remote SensingBeijingChina Key Laboratory of Spectral Imaging Technology Xi'an Institute of Optics and Precision Mechanics of Chinese Academy of SciencesXi'anChina Institute of Informatics University of AmsterdamAmsterdamNetherlands School of Communication Engineering Hangzhou Dianzi UniversityHangzhouChina

Due to hardware limitations,existing hyperspectral(HS)camera often suffer from low spatial/temporal ***,it has been prevalent to super-resolve a low reso-lution(LR)HS image into a high resolution(HR)HS image with a HR RGB(or mul-tispectral)image *** approaches for this guided super-resolution task often model the intrinsic characteristic of the desired HR HS image using hand-crafted ***,researchers pay more attention to deep learning methods with direct supervised or unsupervised learning,which exploit deep prior only from training dataset or testing *** this article,an efficient convolutional neural network-based method is presented to progressively super-resolve HS image with RGB image ***-ically,a progressive HS image super-resolution network is proposed,which progressively super-resolve the LR HS image with pixel shuffled HR RGB image ***,the super-resolution network is progressively trained with supervised pre-training and un-supervised adaption,where supervised pre-training learns the general prior on training data and unsupervised adaptation generalises the general prior to specific prior for variant testing *** proposed method can effectively exploit prior from training dataset and testing HS and RGB images with spectral-spatial *** has a good general-isation capability,especially for blind HS image *** experimental results show that the proposed deep progressive learning method out-performs the existing state-of-the-art methods for HS image super-resolution in non-blind and blind cases.

关键词： computer vision deep neural networks image processing image resolution unsupervised learning

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基于图像识别的建筑工人智能安全检查系统设计与实现

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中国安全生产科学技术 2016年第10期12卷 142-148页

作者：韩豫张泾杰孙昊姚佳玥尤少迪江苏大学土木工程与力学学院江苏镇江212013 澳洲国立大学国家信息通信技术中心

为提高建筑工人作业前安全检查的效率和效果,减少事故发生。以图像识别技术为核心支撑,提出了建筑工人智能安全检查系统的结构、功能及运行流程,并对系统运行效果进行了测试。研究和测试表明:该系统具备身份识别、安全装备检查、作业行... 详细信息

为提高建筑工人作业前安全检查的效率和效果,减少事故发生。以图像识别技术为核心支撑,提出了建筑工人智能安全检查系统的结构、功能及运行流程,并对系统运行效果进行了测试。研究和测试表明:该系统具备身份识别、安全装备检查、作业行为能力检查功能,能实现建筑工人作业前的自动、智能安全检查。该系统的身份识别正确率为83.75%、安全帽识别正确率为96.25%、安全带识别正确率为63.75%。该系统具有硬件投入低、检测速度快、准确性高、应用场景广泛的特点。

关键词：施工安全图像识别建筑工人安全检查深度图像

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建筑工人安全装备自动检查系统设计及实现

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施工技术 2017年第24期46卷 83-86页

作者：张泾杰韩豫姚佳玥尤少迪江苏大学土木工程与力学学院江苏镇江212013 澳洲国立大学国家信息通信技术中心

为提高建筑工人安全检查的效率和效果,减轻事故损害和减少事故发生,以图像识别技术为核心支撑,提出了建筑工人智能安全检查系统的结构、功能及运行流程,并对系统运行效果进行了测试。研究和测试表明:该系统具有身份识别和安全装备检查功... 详细信息

为提高建筑工人安全检查的效率和效果,减轻事故损害和减少事故发生,以图像识别技术为核心支撑,提出了建筑工人智能安全检查系统的结构、功能及运行流程,并对系统运行效果进行了测试。研究和测试表明:该系统具有身份识别和安全装备检查功能;该系统的身份识别正确率为83.75%、安全帽正确识别率为96.25%、安全带正确识别率为63.75%,可满足实际需要;该系统具有硬件投入低、检测速度快、准确性高、应用场景广泛的优势,具有实际应用和推广价值。

关键词：施工安全安全检查图像识别系统设计

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基于无人机的施工扬尘污染源自动监测系统设计与实现

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中国环境监测 2018年第1期34卷 151-156页

作者：马国鑫韩豫陆建飞姚佳玥尤少迪江苏大学土木工程与力学学院江苏镇江212013 澳洲国立大学国家信息通信技术中心

施工扬尘是大气污染物的主要来源和施工环境监测的重点对象,但传统监测手段的效率和效果有限。为此,综合使用无人机和图像识别技术,以HSV特征提取、直方图对比、非零像素点计算为核心,设计了施工扬尘污染源自动监测系统的结构、功能及... 详细信息

施工扬尘是大气污染物的主要来源和施工环境监测的重点对象,但传统监测手段的效率和效果有限。为此,综合使用无人机和图像识别技术,以HSV特征提取、直方图对比、非零像素点计算为核心,设计了施工扬尘污染源自动监测系统的结构、功能及运行流程,并对运行效果进行了测试。研究和测试表明:该系统可实现监测区航拍、污染源特征提取、污染源存在性检验、污染源种类判定和污染源分布区面积计算;该系统污染源存在性检验正确率为71%,污染源面积计算效率较高,污染源特征比对效果相对稳定,基本满足施工扬尘污染源监测需求。

关键词：施工环境管理扬尘监测图像识别无人机系统设计

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Digital image correlation-based structural state detection through deep learning

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Frontiers of Structural and Civil Engineering 2022年第1期16卷 45-56页

作者： Shuai TENG Gongfa CHEN shaodi WANG Jiqiao ZHANG Xiaoli SUN School of Civil and Transportation Engineering Guangdong University of TechnologyGuangzhou 510006China Earthquake Engineering Research&Test Center Guangzhou UniversityGuangzhou 510405China Guangzhou Municipal Engineering Testing Co. Ltd.Guangzhou 510520China

This paper presents a new approach for automatical classification of structural state through deep *** this work,a Convolutional Neural Network(CNN)was designed to fuse both the feature extraction and classification blocks into an intelligent and compact learning system and detect the structural state of a steel frame;the input was a series of vibration signals,and the output was a structural *** digital image correlation(DIC)technology was utilized to collect vibration information of an actual steel frame,and subsequently,the raw signals,without further pre-processing,were directly utilized as the CNN *** results show that CNN can achieve 99%classification accuracy for the research ***,compared with the backpropagation neural network(BPNN),the CNN had an accuracy similar to that of the BPNN,but it only consumes 19%of the training *** outputs of the convolution and pooling layers were visually displayed and discussed as *** is demonstrated that:1)the CNN can extract the structural state information from the vibration signals and classify them;2)the detection and computational performance of the CNN for the incomplete data are better than that of the BPNN;3)the CNN has better anti-noise ability.

关键词： structural state detection deep learning digital image correlation vibration signal steel frame

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Influence and optimization of swirler parameters on elbow wear of deep coal fluidization pipeline transportation system

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Friction 2024年第7期12卷 1408-1433页

作者： shaodi ZHAO Jiusheng BAO Shirong GE Zhongbin WANG Yan YIN Congguang HUANG School of Mechanical and Electrical Engineering China University of Mining and TechnologyXuzhou 221116China School of Mechanical Electronic and Information Engineering China University of Mining and Technology-BeijingBeijing 100083China Frontier Scientific Research Center for Fluided Mining of Deep Underground Resources China University of Mining and TechnologyXuzhou 221008China

Elbow wear is a major threat to the multiphase pipeline transportation industry,which has a negative impact on the stable operation of the transportation *** order to find the wear reduction methods of elbows in the fluidization pipeline transportation system for 2000-meter-deep coal resources,the swirler was installed upstream of the elbows,and wear simulations and tests of three kinds of elbows were carried *** results showed that the maximum wear rate(MWR)of elbows increased and then decreased along the elbow *** to the different directions of gravity,the heavy wear position(HWP)of the horizontal-vertical(H-V)elbow was in front of the vertical-horizontal(V-H)*** the downstream portion of the horizontal-horizontal(H-H)elbow was still a horizontal pipe,the HWP of the H-H elbow almost covered the whole *** swirler placed upstream of the elbows could make the particles at the elbow move to the intrados of the elbows,resulting in less collision between the particles and the extrados of the elbows,thus reducing the wear of the *** wear reduction effects of swirlers on three different elbows were favorably connected with the guide vane angle(GVA)and negatively correlated with the guide vane length(GVL),decreased first and then increased as the guide vane height(GVH)increased,and were little affected by the guide vane number(GVN)and the guide vane thickness(GVT).The mathematical models between the MWR of the elbows and guide vane parameters were *** bench tests,the wear reduction effect of three kinds of elbows under the optimal guide vane parameters was 58.4%,76.9%,and 78.6%,*** errors between the bench test results and the simulation results were around 10%.

关键词： pipe elbow erosion wear spiral flow swirler guide vane parameters particle collision

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Efficient oil-water separation by novel biodegradable all cellulose composite filter paper

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Green Energy & Environment 2023年第6期8卷 1673-1682页

作者： Chizhou Wang shaodi Wu Ning Zhang Zhaoli Jiang Xianglin Hou Long Huang Tiansheng Deng Shanxi Engineering Research Center of Biorefinery Institute of Coal ChemistryChinese Academy of Sciences27 South Taoyuan RoadTaiyuan030001China Center of Materials Science and Optoelectronics Engineering University of Chinese Academy of SciencesBeijing100049China Key Laboratory of China Research Institute of Daily Chemistry Co. Ltd.Sinolight CorporationTaiyuan030001China CAS Key Laboratory of Carbon Materials Institute of Coal ChemistryChinese Academy of Sciences27 South Taoyuan RoadTaiyuan030001China Beijing Key Laboratory of Fuels Cleaning and Advanced Catalytic Emission Reduction Technology Beijing Institute of Petrochemical TechnologyBeijing102617China

Industrial production and domestic discharge produce a large amount of oily wastewater, which seriously affects the stability of the ecological environment. Membrane separation technology provides another path to treating oily wastewater. And appropriate surface modification of the membrane helps to achieve high efficiency of treating oily wastewater. With green, economy and stability been more *** focal research reports a completely biodegradable all cellulose composite filter paper(ACCFP) composed of Ⅰ-cellulose macrofibers and Ⅱ-cellulose matrix. It is a simple one-step impregnation method to adjust the surface microstructure of the pristine filter paper(PFP), and it does not involve with chemical reaction. The pre-wetted ACCFP consist of Ⅱ-cellulose hydrogel and Ⅰ-cellulose reinforcement in the process of oil-water separation. This layer of hydrogel is the fundamental to underwater superoleophobicity, which determines their eligibility for applications of efficient oil-water mixture or oil-in-water(oil/water) emulsion separation. The separation efficiency of oil-water mixture and oil/water emulsion exceed 95% and 99.9%, respectively. In addition, excellent mechanical properties of ACCFP in dry and wet conditions ensure its stability in service and prolong service life in applications. The focal study provides a new method for high-performance oil-water separation and it is more in line with sustainable chemistry.

关键词： All cellulose composite filter paper Pristine filter paper Oil in water separation Underwater superoleophobic property

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Label-free biosensing with singular-phaseenhanced lateral position shift based on atomically thin plasmonic nanomaterials

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Light(Science & Applications) 2024年第5期13卷 810-822页

作者： shaodi Zhu Rodolphe Jaffiol Aurelian Crunteanu Cyrille Vézy Sik-To Chan Wu Yuan Ho-Pui Ho Shuwen Zeng Light Nanomaterials&Nanotechnologies(L2n)CNRS-EMR 7004University of Technology of Troyes10000 TroyesFrance. Department of Biomedical Engineering The Chinese University of Hong KongShatinNew TerritoriesHong KongChina XLIM Research Institute UMR 7252 CNRS/University of Limoges123Avenue Albert ThomasLimogesFrance

Rapid plasmonic biosensing has attracted wide attention in early disease diagnosis and molecular biology ***,it was still challenging for conventional angle-interrogating plasmonic sensors to obtain higher sensitivity without secondary amplifying labels such as plasmonic *** address this issue,we developed a plasmonic biosensor based on the enhanced lateral position shift by phase *** singularity presents as a sudden phase retardation at the dark point of reflection from resonating plasmonic substrate,leading to a giant position shift on reflected ***,for the first time,the atomically thin layer of Ge2Sb2Te5(GST)on silver nanofilm was demonstrated as a novel phase-response-enhancing plasmonic *** GST layer was not only precisely engineered to singularize phase change but also served as a protective layer for active silver *** new configuration has achieved a record-breaking largest position shift of 439.3μm measured in calibration experiments with an ultra-high sensitivity of 1.72×10^(8)nm RIU−1(refractive index unit).The detection limit was determined to be 6.97×10^(−7)RIU with a 0.12μm position ***,a large figure of merit(FOM)of 4.54×10^(11)μm(RIU∙°)^(−1)was evaluated for such position shift interrogation,enabling the labelfree detection of trace amounts of *** targeted biosensing experiments,the optimized sensor has successfully detected small cytokine biomarkers(TNF-αand IL-6)with the lowest concentration of 1×10^(−16)*** two molecules are the key proinflammatory cancer markers in clinical diagnosis,which cannot be directly screened by current clinical *** further validate the selectivity of our sensing systems,we also measured the affinity of integrin binding to arginylglycylaspartic acid(RGD)peptide(a key protein interaction in cell adhesion)with different Mn2+ion concentrations,ranging from 1 nM to 1 mM.

关键词： diagnosis protective silver

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An efficient and mild recycling of waste melamine formaldehyde foams by alkaline hydrolysis

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Green Energy & Environment 2024年第5期9卷 919-926页

作者： shaodi Wu Ning Zhang Chizhou Wang Xianglin Hou Jie Zhao Shiyu Jia Jiancheng Zhao Xiaojing Cui Haibo Jin Tiansheng Deng Shanxi Engineering Research Center of Biorefinery Institute of Coal ChemistryChinese Academy of Sciences27 South Taoyuan RoadTaiyuan030001China Center of Materials Science and Optoelectronics Engineering University of Chinese Academy of SciencesBeijing100049China Department of Chemistry and Chemical Engineering Taiyuan Institute of TechnologyTaiyuanShanxi030008China Beijing Key Laboratory of Fuels Cleaning and Advanced Catalytic Emission Reduction Technology/College of New Materials and Chemical Engineering Beijing Institute of Petrochemical TechnologyBeijing102617China

Melamine formaldehyde foam(MFF)generates many poisonous chemicals through the traditional recycling methods for organic resin ***,a high MFF degradation ratio of ca.97 wt.%was achieved under the mild conditions(160℃)in a NaOH–H2O system with ammelide and ammeline as the main degradation *** alkaline solvent had an obvious corrosion effect for MFF,as indicated by scanning electron microscopy(SEM).The reaction process and products distribution were studied by Fourier-transform infrared spectroscopy(FTIR),X-ray photoelectron spectroscopy(XPS),and ^(13)C nuclear magnetic resonance(NMR).Besides,the MFF degradation products that have the similar chemical structures and bonding performances to those of melamine can be directly used as the raw material for synthesis of melamine urea-formaldehyde resins(MUFs).Moreover,the degradation system demonstrated here showed the high degradation efﬁciency after reusing for 7 *** degradation process generated few harmful pollutants and no pre-or post-treatments were required,which proves its feasibility in the safe removal or recovery of waste MFF.

关键词： Melamine formaldehyde foam Degradation Alkaline hydrolysis Recycling

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