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Efficient Scheduling Mapping Algorithm for Row Parallel Coarse-Grained Reconfigurable Architecture

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Tsinghua Science and Technology 2021年第5期26卷 724-735页

作者： Naijin Chen Zhen Wang ruixiang he Jianhui Jiang Fei Cheng Chenghao Han School of Computer and Information Science Anhui Polytechnic UniversityWuhu 241000China School of Computer Science and Technology Shanghai University of Electric PowerShanghai 200090China School of Software Engineering Tongji UniversityShanghai 201804China

Row Parallel Coarse-Grained Reconfigurable Architecture(RPCGRA)has the advantages of maximum parallelism and programmable flexibility.Designing an efficient algorithm to map the diverse applications onto RPCGRA is difficult due to a number of RPCGRA hardware constraints.To solve this problem,the nodes of the data flow graph must be partitioned and scheduled onto the RPCGRA.In this paper,we present a Depth-First Greedy Mapping(DFGM)algorithm that simultaneously considers the communication costs and the use times of the Reconfigurable Cell Array(RCA).Compared with level breadth mapping,the performance of DFGM is better.The percentage of maximum improvement in the use times of RCA is 33%and the percentage of maximum improvement in non-original input and output times is 64.4%(Given Discrete Cosine Transfor 8(DCT8),and the area of reconfigurable processing unit is 56).Compared with level-based depth mapping,DFGM also obtains the lowest averages of use times of RCA,non-original input and output times,and the reconfigurable time.

关键词： temporal mapping Reconfigurable Cell Array(RCA) listed scheduling communication costs

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钢液真空处理过程中Mn挥发动力学研究

武汉科技大学学报 2024年第2期47卷 81-86页

作者：何瑞翔张翔马国军陈子宏郑顶立杜天雨武汉科技大学钢铁冶金及资源利用省部共建教育部重点实验室湖北武汉430081 武汉科技大学钢铁冶金新工艺湖北省重点实验室湖北武汉430081 上海鑫蓝海自动化科技有限公司上海201203

Mn作为提高钢材强度的主要元素之一,在钢液真空处理过程中的挥发会对钢材成分及质量控制产生不利影响,因此,明确钢液中Mn的挥发机理,并据此精确调控钢液中Mn含量,对于保证钢材质量显得尤为重要。本研究针对X80管线钢的真空精炼处理过程... 详细信息

Mn作为提高钢材强度的主要元素之一,在钢液真空处理过程中的挥发会对钢材成分及质量控制产生不利影响,因此,明确钢液中Mn的挥发机理,并据此精确调控钢液中Mn含量,对于保证钢材质量显得尤为重要。本研究针对X80管线钢的真空精炼处理过程,分析了气相压强和熔炼温度对钢液中Mn挥发行为的影响。结果表明:随着熔炼温度的升高和气相压强的降低,钢液中Mn挥发速率明显加快;在熔炼温度1903 K、气相压强19 Pa、处理时间40 min条件下,Mn挥发率高达92.26%。在熔炼温度1823~1973 K、气相压强19~670 Pa条件下,Mn挥发遵循一级反应规律,其表观挥发速率常数在(0.41~26.56)×10^(-5)m/s范围内;在气相压强19~670 Pa、熔炼温度1903 K的条件下,Mn挥发主要受气相传质的限制;在气相压强226 Pa、熔炼温度1823~1973 K的条件下,Mn挥发的表观活化能达到120.20 kJ/mol,限制性环节为气-液界面反应;本研究条件下,液相传质对Mn挥发速率的影响较小。

关键词：真空处理钢液 Mn 挥发熔炼温度气相压强传质系数动力学

Microscopic defects formation and dynamic mechanical response analysis of Q345 steel plate subjected to explosive load

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Defence Technology（防务技术） 2024年第2期32卷 430-442页

作者： Zhengqing Zhou Zechen Du Yulong Zhang Guili Yang ruixiang Wang Yuzhe Liu Peize Zhang Yaxin Zhang Xiao Wang Research Institute of Macro-Safety Science University of Science and TechnologyBeijing100083China School of Civil and Resource Engineering University of Science and TechnologyBeijing100083China China North Industry Advanced Technology Generalization Institute Beijing100089China College of Field Engineering PLA Army Engineering UniversityNanjing210007China School of Mechanical Engineering Nantong UniversityNantong226019China

As the basic protective element, steel plate had attracted world-wide attention because of frequent threats of explosive loads. This paper reports the relationships between microscopic defects of Q345 steel plate under the explosive load and its macroscopic dynamics simulation. Firstly, the defect characteristics of the steel plate were investigated by stereoscopic microscope(SM) and scanning electron microscope(SEM). At the macroscopic level, the defect was the formation of cave which was concentrated in the range of 0-3.0 cm from the explosion center, while at the microscopic level, the cavity and void formation were the typical damage characteristics. It also explains that the difference in defect morphology at different positions was the combining results of high temperature and high pressure. Secondly, the variation rules of mechanical properties of steel plate under explosive load were studied. The Arbitrary Lagrange-Euler(ALE) algorithm and multi-material fluid-structure coupling method were used to simulate the explosion process of steel plate. The accuracy of the method was verified by comparing the deformation of the simulation results with the experimental results, the pressure and stress at different positions on the surface of the steel plate were obtained. The simulation results indicated that the critical pressure causing the plate defects may be approximately 2.01 GPa. On this basis, it was found that the variation rules of surface pressure and microscopic defect area of the Q345 steel plate were strikingly similar, and the corresponding mathematical relationship between them was established. Compared with Monomolecular growth fitting models(MGFM) and Logistic fitting models(LFM), the relationship can be better expressed by cubic polynomial fitting model(CPFM). This paper illustrated that the explosive defect characteristics of metal plate at the microscopic level can be explored by analyzing its macroscopic dynamic mechanical response.

关键词： Explosive load Q345 steel Micro defect Finite element simulation Dynamic response Data fitting

Exploring Motor Imagery EEG: Enhanced EEG Microstate Analysis with GMD-Driven Density Canopy Method

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Computers, Materials & Continua 2024年第6期79卷 4659-4681页

作者： Xin Xiong Jing Zhang Sanli Yi Chunwu Wang ruixiang Liu Jianfeng he Faculty of Information Engineering and Automation Kunming University of Science and TechnologyKunming650500China College of Physics and Electronic Engineering Hanshan Normal UniversityChaozhou521041China Department of Clinical Psychology Second People’s Hospital of YunnanKunming650021China

The analysis of microstates in EEG signals is a crucial technique for understanding the spatiotemporal dynamics of brain electrical activity.Traditional methods such as Atomic Agglomerative Hierarchical Clustering(AAHC),K-means clustering,Principal Component Analysis(PCA),and Independent Component Analysis(ICA)are limited by a fixed number of microstate maps and insufficient capability in cross-task feature extraction.Tackling these limitations,this study introduces a Global Map Dissimilarity(GMD)-driven density canopy K-means clustering algorithm.This innovative approach autonomously determines the optimal number of EEG microstate topographies and employs Gaussian kernel density estimation alongside the GMD index for dynamic modeling of EEG data.Utilizing this advanced algorithm,the study analyzes the Motor Imagery(MI)dataset from the GigaScience database,GigaDB.The findings reveal six distinct microstates during actual right-hand movement and five microstates across other task conditions,with microstate C showing superior performance in all task states.During imagined movement,microstate A was significantly enhanced.Comparison with existing algorithms indicates a significant improvement in clustering performance by the refined method,with an average Calinski-Harabasz Index(CHI)of 35517.29 and a Davis-Bouldin Index(DBI)average of 2.57.Furthermore,an information-theoretical analysis of the microstate sequences suggests that imagined movement exhibits higher complexity and disorder than actual movement.By utilizing the extracted microstate sequence parameters as features,the improved algorithm achieved a classification accuracy of 98.41%in EEG signal categorization for motor imagery.A performance of 78.183%accuracy was achieved in a four-class motor imagery task on the BCI-IV-2a dataset.These results demonstrate the potential of the advanced algorithm in microstate analysis,offering a more effective tool for a deeper understanding of the spatiotemporal features of EEG signals.

关键词： EEG microstate motor imagery K-means clustering algorithm gaus sian kernel function shannon entropy Lempel-Ziv complexity

End-group modulation of phenazine based non-fullerene acceptors for efficient organic solar cells with high open-circuit voltage

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Journal of Energy Chemistry 2024年第1期88卷 461-468,I0011页

作者： Yahui Zhang Yafeng Li ruixiang Peng Yi Qiu Jingyu Shi Zhenyu Chen Jinfeng Ge Cuifen Zhang Zheng Tang Ziyi Ge School of Materials Science and Engineering Shanghai UniversityShanghai 200444China Zhejiang Business Technology Institute Ningbo 315012ZhejiangChina Zhejiang Provincial Engineering Research Center of Energy Optoelectronic Materials and Devices Ningbo Institute of Materials Technology and EngineeringChinese Academy of SciencesNingbo 315201ZhejiangChina Center for Advanced Low-dimension Materials College of Materials Science and EngineeringDonghua UniversityShanghai 201620China

Phenazine-based non-fullerene acceptors(NFAs)have demonstrated great potential in improving the power conversion efficiency(PCE)of organic solar cells(OSCs).Halogenation is known to be an effective strategy for increasing optical absorption,refining energy levels,and improving molecular packing in organic semiconductors.herein,a series of NFAs(Pz IC-4H,Pz IC-4F,Pz IC-4Cl,Pz IC-2Br)with phenazine as the central core and with/without halogen-substituted(dicyanomethylidene)-indan-1-one(IC)as the electron-accepting end group were synthesized,and the effect of end group matched phenazine central unit on the photovoltaic performance was systematically studied.Synergetic photophysical and morphological analyses revealed that the PM6:Pz IC-4F blend involves efficient exciton dissociation,higher charge collection and transfer rates,better crystallinity,and optimal phase separation.Therefore,OSCs based on PM6:Pz IC-4F as the active layer exhibited a PCE of 16.48%with an open circuit voltage(Voc)and energy loss of 0.880 V and 0.53 e V,respectively.Accordingly,this work demonstrated a promising approach by designing phenazine-based NFAs for achieving high-performance OSCs.

关键词： Organic solar cells Non-fullerene acceptor Phenazine Central core End group

The largest CPIES array in the marginal sea:abundant dynamics in the northeast South China Sea

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Acta Oceanologica Sinica 2024年第1期43卷 135-137页

作者： Hua Zheng Xiao-Hua Zhu Min Wang ruixiang Zhao Chuanzheng Zhang Feng Nan Fei Yu Institute of Polar and Ocean Technology Second Institute of OceanographyMinistry of Natural ResourcesHangzhou 310012China State Key Laboratory of Satellite Ocean Environment Dynamics Second Institute of OceanographyMinistry of Natural ResourcesHangzhou 310012China School of Oceanography Shanghai Jiao Tong UniversityShanghai 200030China Southern Marine Science and Engineering Guangdong Laboratory(Zhuhai) Zhuhai 519082China National Marine Environmental Monitoring Center Dalian 116023China Key Laboratory of Ocean Circulation and Waves Institute of OceanologyChinese Academy of SciencesQingdao 266071China University of Chinese Academy of Sciences Beijing 100049China Center for Ocean Mega-Science Chinese Academy of SciencesQingdao 266071China Laboratory for Ocean and Climate Dynamics Qingdao National Laboratory for Marine Science and TechnologyQingdao 266237China

The South China Sea(SCS)is a marginal sea connecting the Pacific and Indian oceans and has gained much attention in recent decades.The dynamics in the northeast SCS are considerably influenced by topography,monsoons,t... 详细信息

关键词： northeast marginal abundant

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行路由PEA广度贪心调度映射算法

计算机工程与应用 2017年第14期53卷 65-69,75页

作者：何瑞祥陈乃金安徽工程大学计算机与信息学院安徽芜湖241000

粗粒度可重构单元阵列硬件任务的贪心映射是可重构计算要解决的核心问题。不同的阵列具有不同的硬件约束条件,针对行路由粗粒度可重构单元阵列提出一种广度贪心映射算法BGMA(Breadth Greedy Mapping Algorithm)。该算法首先从第一个节... 详细信息

粗粒度可重构单元阵列硬件任务的贪心映射是可重构计算要解决的核心问题。不同的阵列具有不同的硬件约束条件,针对行路由粗粒度可重构单元阵列提出一种广度贪心映射算法BGMA(Breadth Greedy Mapping Algorithm)。该算法首先从第一个节点开始依次扫描,如果节点满足条件则将其映射到PEA上,当遇到不满足映射条件的节点时,该算法将跳过该节点继续寻找满足约束条件的节点进行映射,通过与广度不贪心映射算法BNGMA(Breadth No Greedy Mapping Algorithm)相比较,BGMA的N1平均减少了35.1%(PEA_(6×6))和54.8%(PEA_(8×8)),N2平均减少了35.6%(PEA_(6×6))和54.6%(PEA_(8×8)),C_(CON)平均减少了15.7%(PEA_(6×6))和26.2%(PEA_(8×8)),T_(TOTAL)平均减少了20.2%(PEA_(6×6))和32.1%(PEA_(8×8))。实验结果表明了贪心策略在映射算法中的重要性。

关键词：贪心映射硬件约束行路由广度贪心广度不贪心

基于人格分析的认知性情绪调节联合健康行为管理对冠心病患者PCI术后康复的影响

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中国临床研究 2023年第11期36卷 1734-1738页

作者：何瑞香刘彤徐宝玲唐嘉佑马小丹空军军医大学第一附属医院、西京医院心血管外科陕西西安771032

目的探讨基于人格分析的认知性情绪调节联合健康行为管理对冠心病患者经皮冠状动脉介入(PCI)术后应对方式、认知程度和自我管理能力的影响。方法选取2020年4月至2022年6月于西京医院行PCI术的冠心病患者122例,随机分为研究组(n=61)和对... 详细信息

目的探讨基于人格分析的认知性情绪调节联合健康行为管理对冠心病患者经皮冠状动脉介入(PCI)术后应对方式、认知程度和自我管理能力的影响。方法选取2020年4月至2022年6月于西京医院行PCI术的冠心病患者122例,随机分为研究组(n=61)和对照组(n=61)。对照组患者给予常规护理联合健康行为管理,研究组患者在对照组的基础上给予基于人格分析的认知性情绪调节。干预1个月后,比较两组患者应对方式[医学应对方式问卷(MCMQ)]、认知程度[蒙特利尔认知评估量表(MoCA)和认知性情绪调节问卷(CERQ)]、自我管理能力[冠心病自我管理行为量表(CSMS)和自我护理能力量表(ESCA)]、健康行为[健康促进生活方式量表(HPLPⅡ)]评分及干预期间不良事件发生情况。结果干预1个月后,研究组患者MCMQ量表面对评分、MoCA、CERQ量表适应情绪调节评分、CSMS、ESCA、HPLPⅡ评分高于对照组(P<0.05);MCMQ量表屈服、回避评分低于对照组(P<0.05),且研究组各评分优于对照组(P<0.05)。干预期间,研究组患者不良事件发生率低于对照组(4.9%vs 16.4%,P<0.05)。结论基于人格分析的认知性情绪调节联合健康行为管理可有效改善冠心病PCI术后患者应对方式及认知程度,提高自我管理能力,有效降低患者术后不良事件发生率。

关键词：冠心病经皮冠状动脉介入人格分析认知性情绪调节健康行为管理应对方式认知程度自我管理能力

乡村地区旅游城镇化的多主体共治模式——以福建泰宁水际村为例

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地理研究 2018年第12期37卷 2383-2398页

作者：彭华何瑞翔翁时秀中山大学地理科学与规划学院广州510275

在乡村振兴战略背景下,乡村旅游地的城镇化研究亟需总结更多更好的中国经验。福建省泰宁县水际村1991-2016年的旅游城镇化体现了一种学界尚未关注到的多主体共治模式,村民在保持地权关系不变的情况下,通过多主体的良性互动实现了就地城... 详细信息

在乡村振兴战略背景下,乡村旅游地的城镇化研究亟需总结更多更好的中国经验。福建省泰宁县水际村1991-2016年的旅游城镇化体现了一种学界尚未关注到的多主体共治模式,村民在保持地权关系不变的情况下,通过多主体的良性互动实现了就地城镇化。在城镇化过程中,得益于政府的引导、培育和制度建设,乡村经济在利益冲突中保持韧性并持续发展;外来企业的进入则带动了村民经济收入的增长,村民在商业运营中完成了生活方式现代化和思维观念市民化。本文按照案例研究的逻辑,分析了多主体共治状态的形成过程、核心要素及其作用机制。多类主体实现共治的核心要素是有效的制度供给、合理的科层制分工、灵活的产权设计、实现分配正义的市场规则和多类主体之间的理性互动与权力制衡。基于这些核心要素的共同作用,多类主体之间实现共同利益最大化,保障资源效益可以有效地进行再分配,最大限度地发挥旅游促进乡村经济发展和改善人民生活的城镇化目标。可以认为,多主体共同治理是实现乡村旅游城镇化的有效途径。总结这种模式有利于丰富新型城镇化的乡村个案,同时为新时期乡村转型的有效治理提供参考。

关键词：旅游城镇化多主体共治乡村振兴发展机制