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22nd IEEE International Conference on High performance Computing and Communications, 18th IEEE International Conference on Smart City and 6th IEEE International Conference on Data Science and Systems, HPCC-SmartCity-DSS 2020

作者： Zhang, Kaifang Su, Huayou Zhang, Peng Dou, Yong National University of Defense Technology National Key Laboratory for Parallel and Distribution Processing Changsha China Caep Software Center for High Performance Numerical Simulation Beijing China Institute of Applied Physics and Computational Mathematics Beijing China

ISBN: (纸本)9781728176499

Stencil Computation has long been an omnipresent kernel of a wide range of scientific and engineering applications. There is much work investigating the stencil performance on x86 processors and accelerators such as GPU. Meanwhile, ARM processors for HPC have been highlighted more and more with Fugaku of Japan becoming the first number one system on the TOP-500 list. In this paper, we focus on modeling and optimizing the performance of stencil computation on ARM architectures. Specifically, we proposed a performance model for stencil computation based on tiling optimization to guide the optimal configuration of tiling parameters for good cache reuse. We validate the proposed model with the performance Monitor Unit (PMU) provided by the ARM processor. Experimental results show that the prediction error of the execution time can be lower to 1.37%. Furthermore, we can achieve a maximum of 1.26 \times speedup compared to the naive implementation according to the optimization parameters provided from the model. © 2020 IEEE.

关键词： ARM processors

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Learning Human-Written Commit Messages to Document Code Changes

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Journal of Computer Science & technology 2020年第6期35卷 1258-1277页

作者： Yuan Huang Nan Jia Hao-Jie Zhou Xiang-Ping Chen Zi-Bin Zheng Ming-Dong Tang National Engineering Research Center of Digital Life School of Data and Computer ScienceSun Yat-sen University Guangzhou 510006China School of Information Engineering Hebei GEO UniversityShijiazhuang 050031China Guangdong Key Laboratory for Big Data Analysis and Simulation of Public Opinion School of Communication and DesignSun Yat-sen UniversityGuangzhou 510006China School of Information Science and Technology Guangdong University of Foreign StudiesGuangzhou 510006China Guangdong Key Laboratory of Big Data Analysis and Processing Guangzhou 510006China

Commit messages are important complementary information used in understanding code changes. To address message scarcity, some work is proposed for automatically generating commit messages. However, most of these approaches focus on generating summary of the changed software entities at the superficial level, without considering the intent behind the code changes (e.g., the existing approaches cannot generate such message:"fixing 'null' pointer exception"). Considering developers often describe the intent behind the code change when writing the messages, we propose ChangeDoc, an approach to reuse existing messages in version control systems for automatical commit message generation. Our approach includes syntax, semantic, pre-syntax, and pre-semantic similarities. For a given commit without messages, it is able to discover its most similar past commit from a large commit repository, and recommend its message as the message of the given commit. Our repository contains half a million commits that were collected from SourceForge. We evaluate our approach on the commits from 10 projects. The results show that 21.5% of the recommended messages by ChangeDoc can be directly used without modification, and 62.8% require minor modifications. In order to evaluate the quality of the commit messages recommended by ChangeDoc, we performed two empirical studies involving a total of 40 participants (10 professional developers and 30 students). The results indicate that the recommended messages are very good approximations of the ones written by developers and often include important intent information that is not included in the messages generated by other tools.

关键词： commit message recommendation code syntax similarity code semantic similarity code change comprehension

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Interpretable machine-learning strategy for soft-magnetic property and thermal stability in Fe-based metallic glasses

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npj Computational Materials 2020年第1期6卷 1-9页

作者： Lu, Zhichao Chen, Xin Liu, Xiongjun Lin, Deye Wu, Yuan Zhang, Yibo Wang, Hui Jiang, Suihe Li, Hongxiang Wang, Xianzhen Lu, Zhaoping Beijing Advanced Innovation Center for Materials Genome Engineering State Key Laboratory for Advanced Metals and Materials University of Science and Technology Beijing Beijing100083 China Institute of Applied Physics and Computational Mathematics Beijing100088 China Software Center for High Performance Numerical Simulation Chinese Academy of Engineering Physics Beijing100088 China Institute for Advanced Materials and Technology University of Science and Technology Beijing Beijing100083 China

Fe-based metallic glasses (MGs) have been extensively investigated due to their unique properties, especially the outstanding soft-magnetic properties. However, conventional design of soft-magnetic Fe-based MGs is heavily relied on "trial and error" experiments, and thus difficult to balance the saturation flux density (Bs) and thermal stability due to the strong interplay between the glass formation and magnetic interaction. Herein, we report an eXtreme Gradient Boosting (XGBoost) machine-learning (ML) model for developing advanced Fe-based MGs with a decent combination of Bs and thermal stability. While it is an attempt to apply ML for exploring soft-magnetic property and thermal stability, the developed XGBoost model based on the intrinsic elemental properties (i.e., atomic size and electronegativity) can well predict Bs and Tx (the onset crystallization temperature) with an accuracy of 93.0% and 94.3%, respectively. More importantly, we derived the key features that primarily dictate Bs and Tx of Fe-based MGs from the ML model, which enables the revelation of the physical origins underlying the high Bs and thermal stability. As a proof of concept, several Fe-based MGs with high Tx (>800 K) and high Bs (>1.4 T) were successfully developed in terms of the ML model. This work demonstrates that the XGBoost ML approach is interpretable and feasible in the extraction of decisive parameters for properties of Fe-based magnetic MGs, which might allow us to efficiently design high-performance glassy materials. © 2020, The Author(s).

关键词： Thermodynamic stability

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Dynamic Real-Time Forecasting Technique for Reclaimed Water Volumes in Urban River Environmental Management

SSRN

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SSRN 2023年

作者： Zhang, Lina Wang, Chao Hu, Wenbin Wang, Xu Wang, Hao Sun, Xiangyu Ren, Wenhao Feng, Yu School of Resources and Civil Engineering Northeastern University Liaoning 110819 China State Key Laboratory of Simulation and Regulation of Water Cycle in River Basin China Institute of Water Resources and Hydropower Research Beijing100038 China Hubei Key Laboratory of Digital River Basin Science and Technology Huazhong University of Science and Technology Wuhan430074 China China Renewable Energy Engineering Institute Beijing100120 China Research Center of Fluid Machinery Engineering and Technology Jiangsu University Jiangsu212013 China Beijing Water Resources Dispatching and Management Affairs Center Beijing100097 China Changjiang Water Resources Commission Changjiang River Scientific Research Institute Wuhan430010 China

In recent years, wastewater recycling has gained popularity as an alternative water source to address urban water shortages. Accurate wastewater quantity prediction is crucial for urban river water resource management. Decomposition ensemble models have shown excellent predictive capabilities but are challenged by boundary effects when decomposing the original data sequence. To address this, a rolling forecast decomposition ensemble scheme was developed. It involves using a machine learning (ML) model for prediction and progressively integrating prediction outcomes into the original sequence using complementary ensemble empirical mode decomposition with adaptive noise (CEEMDAN). Long short-term memory (LSTM) is then applied for sub-signal prediction and ensemble. The ML-CEEMDAN-LSTM model was introduced for wastewater quantity prediction, compared with non-decomposed ML models, CEEMDAN-based LSTM models, and ML-CEEMDAN-based LSTM models. Three ML algorithms—linear regression (LR), gradient boosting regression (GBR), and LSTM—were examined, using real-time prediction data and historical monitoring data, with historical data selected using the decision tree method. The study used daily water volumes data from two reclaimed water plants, CH and WQ, in Beijing. The results indicate that (1) ML models varied in their selection of real-time factors, with LR performing best among ML models during testing;(2) the ML-CEEMDAN-LSTM model consistently outperformed ML models;(3) the ML-CEEMDAN-LSTM hybrid model performed better than the CEEMDAN-LSTM model across different seasons. This study offers a reliable and accurate approach for reclaimed water volumes forecasting, critical for effective water environment management. © 2023, The Authors. All rights reserved.

关键词： Empirical mode decomposition

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Example-based web page recoloring method

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Frontiers of Computer Science 2020年第5期14卷 229-231页

作者： Yonghao Long Zhihao Zang Xiangping Chen Fan Zhou Xiaonan Luo School of Data and Computer Science National Engineering Research Center of Digital LifeSun Yat-sen UniversityGuangzhou510006China Guangdong Key Laboratory for Big Data Analysis and Simulation of Public Opinion The School of Communication and DesignSun Yat-sen UniversityGuangzhou510006China School of Computer Science and Information Security Guilin University of Electronic TechnologyGuilin541004China

1 Introduction The user interface(UI)is very important for a software product,and a well-designed UI will attract users and make a good *** has been shown that color plays an important role in invoking emotional reactions[1],influencing usability[2],forming first impressions[3],and affecting the energy cost of the UI[4].Generating satisfying color schemes has high requirements for experience,aesthetic,and creative inspiration of designers[5].

关键词： web coloring satisfying

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Computational study the effects of venting pressure and ignition location on the fuel-air mixture explosion load in vented chamber 2nd

Computational study the effects of venting pressure and igni...

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2nd International Conference on Smart Vehicular technology, Transportation, Communication and Applications, VTCA 2018

作者： Liang, Xingxing Wang, Zhongqi Li, Pengyi Zhang, Fuquan State Key Laboratory of Explosion Science and Technology Beijing Institute of Technology Beijing100081 China Digital Performance and Simulation Technology Laboratory School of Computer Science and Technology Beijing Institute of Technology Beijing100081 China Fujian Provincial Key Laboratory of Information Processing and Intelligent Control Minjiang Univeristy Fuzhou350121 China

ISBN: (纸本)9783030045845

Numerical analysis were performed to study venting explosion load of methane-air in vented chamber. The effects of venting pressure and ignition location on indoor gas explosion overpressure are discussed. The simulation results showed the expected trends are agreed with the experiments in some extent. Several peaks in overpressure were identified along the pressure–time curves. There are two typical peak overpressures in our study. The first peak is due to the vent failure. The second is caused by the external explosion. It’s not a monotonic relationship between the peak overpressure and venting explosion pressure. The influence of the venting pressure on the explosion overpressure is irregular when the venting pressure is less than 10 kPa. Then the explosion overpressure increases with the increase of the venting pressure. The results show that, the maximum peak value of overpressure is shear ignition. But the local overpressure on the pressure relief wall is stronger due to turbulence in central ignition case. Explosion venting process couples the turbulent flow and chemical reaction of combustible medium which is influenced by several parameters. © Springer Nature Switzerland AG 2019.

关键词： Computational fluid dynamics

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Nanomanufacturing and Metrology 2020年第2期3卷 123-132页

作者： Zhanfeng Wan Junjie Zhang Guo Li Zongwei Xu Haijun Zhang Jianguo Zhang Alexander Hartmaier Fengzhou Fang Yongda Yan Tao Sun Center for Precision Engineering.Harbin Institute of Technology Harbin 150001People's Republic of China Research Center of Laser Fusion China Academy of Engineering PhysicsMianyang 621900People's Republic of China State Key Laboratory of Precision Measuring Technology&Instruments Centre of MicroNano Manufacturing TechnologyTianjin UniversityTianjin 300072People's Republic of China State Key Laboratory of Digital Manufacturing Equipment and Technology School of Mechanical Science and Engineering.Huazhong University of Science and TechnologyWuhan 430074People's Republic of China Interdisciplinary Centre for Advanced Materials Simulation Ruhr-University Bochum44780 BochumGermany

Deformation behavior at grain levels greatly affects the machining characteristics of crystalline *** the present work,we investigate the influence of material anisotropy on ultra-precision diamond cutting of single crystalline and polycrystalline copper by experiments and crystal plasticity finite element ***,diamond turning and in situ SEM orthogonal cutting experiments are carried out to provide direct experimental evidence of the material anisotropy-dependent cutting results in terms of machined surface morphology and chip *** numerical simulations with the analysis of built stress further validate experimental results and reveal the mechanisms governing the material anisotropy *** above findings provide insight into the fabrication of ultra-smooth surfaces of polycrystalline metals by ultraprecision diamond turning.

关键词： Diamond cutting Polycrystalline copper Anisotropy Grain boundary Crystal plasticity finite element

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Coupled Pacific Rim megadroughts contributed to the fall of the MingDynasty’s capital in 1644 CE

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Science Bulletin 2024年第19期69卷 3106-3114页

作者： Feng Chen Tao Wang Xiaoen Zhao Jan Esper Fredrik Charpentier Ljungqvist Ulf Büntgen Hans W.Linderholm David Meko Hongna Xu Weipeng Yue Shijie Wang Yujiang Yuan Jingyun Zheng Wei Pan Fidel Roig Martín Hadad Mao Hu Jiachang Wei Fahu Chen Yunnan Key Laboratory of International Rivers and Transboundary Eco-Security Institute of International Rivers and Eco-SecurityYunnan UniversityKunming 650504China Southwest United Graduate School Kunming 650504China Climate Change Research Center and Nansen-Zhu International Research Centre Institute of Atmospheric PhysicsChinese Academy of SciencesBeijing 100029China Department of Geography Johannes Gutenberg UniversityMainz 55099Germany Global Change Research Institute(CzechGlobe) Czech Academy of SciencesBrno 60300Czech Republic Department of History Stockholm UniversityStockholm 10691Sweden Bolin Centre for Climate Research Stockholm UniversityStockholm 10691Sweden Swedish Collegium for Advanced Study LinneanumUppsala 75238Sweden Department of Geography University of CambridgeCambridge CB23ENUK Department of Geography Faculty of ScienceMasaryk UniversityBrno 61137Czech Republic Swiss Federal Research Institute(WSL) Birmensdorf 8903Switzerland Regional Climate Group Department of Earth SciencesUniversity of GothenburgGothenburg 40530Sweden Laboratory of Tree-Ring Research University of ArizonaTucson AZ 85721USA Collaborative Innovation Center on Forecast and Evaluation of Meteorological Disasters(CIC FEMD) Nanjing University of Information Science and TechnologyNanjing 210044China Key Laboratory of Tree-ring Physical and Chemical Research Institute of Desert MeteorologyChina Meteorological AdministrationUrumqi 830002China Key Laboratory of Land Surface Pattern and Simulation Institute of Geographical Sciences and Natural Resources ResearchChinese Academy of SciencesBeijing 100101China Key Laboratory of Digital Human Technology R&D and Application of Yunnan Provincial Department of Education Yunnan UniversityKunming 650504China Laboratorio de Dendrocronología e Historia Ambiental IANIGLA-CCT CONICET-Universidad Nacional de CuyoMendoza 5500Argentina Hémera Centro de Observación de La Tierra Escuela de Ingeniería ForestalFacultad de CienciasUniversidad MayorHuechuraba 85

Historical documents provide evidence for regional droughts preceding the political turmoil and fall of Beijing in 1644 CE,when more than 20 million people died in northern China during the late Ming famine ***,the role climate and environmental changes may have played in this pivotal event in Chinese history remains ***,we provide tree-ring evidence of persistent megadroughts from1576 to 1593 CE and from 1628 to 1644 CE in northern China,which coincided with exceptionally cold summers just before the fall of *** analysis reveals that these regional hydroclimatic extremes are part of a series of megadroughts along the Pacific Rim,which not only impacted the ecology and society of monsoonal northern China,but likely also exacerbated external geopolitical and economic *** finding is corroborated by last millennium reanalysis data and numerical climate model simulations revealing internally driven Pacific sea surface temperature variations and the predominance of decadal scale La Ni?a-like conditions to be responsible for precipitation decreases over northern China,as well as extensive monsoon regions in the *** teleconnection patterns provide a mechanistic explanation for reoccurring drought spells during the late Ming Dynasty and the environmental framework fostering the fall of Beijing in 1644 CE,and the subsequent demise of the Ming Dynasty.

关键词： Paleoclimate Beijing Precipitation reconstruction Climate-society interactions Tree rings Ming Dynasty

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Stretchable multifunctional wearable system for real-time and on-demand thermotherapy of arthritis

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Microsystems and Nanoengineering 2025年第1期11卷 1-12页

作者： Liu, Zehan Wang, Xihan He, Yiyang Hong, Weiqiang Sun, Peng Liu, Weitao Ye, Dong Yang, Zhuoqing Wang, Xuewen Wu, Mengxi Wang, Liding Liu, Junshan State Key Laboratory of High-performance Precision Manufacturing Dalian University of Technology Liaoning Dalian116024 China Key Laboratory for Micro/Nano Technology and System of Liaoning Province Dalian University of Technology Liaoning Dalian116024 China State Key Laboratory of Digital Manufacturing Equipment and Technology Huazhong University of Science and Technology Wuhan430074 China National Key Laboratory of Science and Technology on Micro and Nano Fabrication School of Electronic Information and Electrical Engineering Shanghai Jiao Tong University Shanghai200240 China Institute of Flexible Electronics Northwestern Polytechnical University Xi’an710072 China

Thermotherapy is a conventional and effective physiotherapy for arthritis. However, the current thermotherapy devices are often bulky and lack real-time temperature feedback and self-adjustment functions. Here, we developed a multifunctional wearable system for real-time thermotherapy of arthritic joints based on a multilayered flexible electronic device consisting of homomorphic hollow thin-film sensors and heater. The kirigami−serpentine thin-film sensors provide stretchability and rapid response to changes in environmental temperature and humidity, and the homomorphic design offers easy de-coupling of dual-modal sensing signals. Based on a closed-loop control, the thin-film Joule heater exhibits rapid and stable temperature regulation capability, with thermal response time © The Author(s) 2025.

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Credibility Evaluation of Pems Measurements in Rde Tests: Nox Measurement Uncertainty

SSRN

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SSRN 2022年

作者： Su, Sheng Hou, Pan Lyu, Liqun Wang, Xin Lyu, Tao Lai, Yitu Luo, Wanyou Ge, Yunshan Wang, Yachao Wang, Qihu College of Marine Equipment and Mechanical Engineering Jimei University Xiamen361021 China Xiamen Environment Protection Vehicle Emission Control Technology Center Xiamen361023 China National Laboratory of Automotive Performance & Emission Test School of Mechanical Engineering Beijing Institute of Technology Beijing100081 China State Environmental Protection Key Laboratory of Vehicle Emission Control and Simulation Chinese Research Academy of Environmental Sciences Beijing100012 China Qinghai Plateau Technology Development Co. Ltd. Xining810000 China

First systematic evaluation on the NOx measurement uncertainty of Portable Emission Measurement System (PEMS) has been completed in China. Zero and span drift, parameters directly related to the measurement accuracy, were re-evaluated, and the results showed that the zero and step drifts were not linear or stepped, which were independent of to the boundary conditions or measurement principle. The range of zero drift was ± 3.0ppm, meanwhile, more than 95% span drifts were within a range of 1.5%. Then the largest additional NOx emissions due to the step zero drift of 3ppm was 9.4mg/km with the worst case being 6.6mg/km by span drift under Worldwide Light-Duty Vehicle Test Cycle(WLTC). Bring these parameters into the evaluation framework, the NOx measurement uncertainty corresponding to China-6a and China-6b were 37.1% and 56.3% respectively, which are larger than previous EU evaluation results, mainly due to the more stringent NOx limit. © 2022, The Authors. All rights reserved.

关键词： Uncertainty analysis

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