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5th High Performance Computing and Cluster Technologies Conference, HPCCT 2021

作者： Yang, Wenxiang Yu, Jie Xing, Guolong National University of Defense Technology College of Computer National University of Defense Technology China China Aerodynamics Research and Development Center Computational Aerodynamics Institute China State Key Laboratory of Aerodynamics China China Aerodynamics Research and Development Center Computational Aerodynamics Institute China

ISBN: (纸本)9781450390132

A deep understanding of the job characteristics and their impacts on the high performance computing system is one of the most critical steps for efficiently planning its design, development and optimization. However, frequent and regular characterization studies are insufficient in many HPC systems, which might make the study done by the system researchers inconsistent with the actual system features and application characteristics, and ultimately lead to the failure of the proposed strategy. Our study in this paper tries to bridge the gap by performing long-term analysis for job characteristics on a petascale ARM supercomputer, in this way, we get many meaningful findings and insights, which we believe can benefit the co-design of hardware and applications, and improve performance and experience of the job submitters in the HPC system. © 2021 ACM.

关键词： Supercomputers

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Induced Waves from Typhoon Maysak: Model Optimization and Evolution Characteristics in Yeongil Bay, South Korea

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Journal of Coastal research 2024年第SP1期116卷 81-85页

作者： Yazid Ridla Yeon S. Chang Kyong Ho Ryu Sang-Ho Oh Weon-Mu Jeong Marine Technology Convergence Engineering University of Science and Technology Busan Republic of Korea Marine ICT Research and Development Center Korea Institute of Ocean Science and Technology Busan Republic of Korea Department of Civil Engineering Changwon National University Changwon Republic of Korea

Ridla, Y.; Chang, Y.S.; Ryu, K.H.; Oh, S.-H., and Jeong, W.-M., 2023. Induced waves from Typhoon Maysak: Model optimization and evolution characteristics in Yeongil Bay, South Korea. In: Lee, J.L.; Lee, H.; Min, B.I.; Chang, J.-I.; Cho, G.T.; Yoon, J.-S., and Lee, J. (eds.), Multidisciplinary Approaches to Coastal and Marine Management. Journal of Coastal research, Special Issue No. 116, pp. 81-85. Charlotte (North Carolina), ISSN *** Maysak (TY2009) landed on the Korean Peninsula in September 2020, and the intense waves caused severe damage along the east coast of South Korea. In a previous study by Son and Do (2022), two wave model physics, ST1 (Komen, Hasselmann, and Hasselmann, 1984) and ST6 (Zieger et al., 2015), were compared. The results showed that the two models overestimated the significant wave height, especially with ST6, which utilized a wind friction velocity as the wind scale. Thus, the optimized wave model setup and effect of wind scaling variation in the ST6 physics were evaluated for typhoon-induced wave simulation. The model has also been applied to hindcast the wave fields in Yeongil Bay using the unstructured meshes with a horizontal resolution of 50 m. The results showed that the U10 application on the ST6 model reduced the wave height significantly. The model was further improved by implementing the UL2M2 parameterization (Rogers, Babanin, and Wang, 2012), although the maximum wave height during the typhoon event was underestimated. During the typhoon event, the observation data showed different wave evolution patterns at each station inside the bay. However, the present model was insufficient to capture the wave evolution process. Further studies that include the refraction-diffraction process and optimizing the parameters shall be inquired.

关键词： SWAN model Typhoon Maysak wind scaling Yeongil bay

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Structural features and exploration targets of platform margins in Sinian Dengying Formation in Deyang-Anyue Rift, Sichuan Basin, SW China

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Petroleum Exploration and development 2023年第2期50卷 306-320页

作者： ZENG Fuying YANG Wei WEI Guoqi YI Haiyong ZENG Yunxian ZHOU Gang YI Shiwei WANG Wenzhi ZHANG San JIANG Qingchun HUANG Shipeng HU Mingyi HAO Cuiguo WANG Yuan ZHANG Xuan College of Geophysics Chengdu University of TechnologyChengdu 610059China PetroChina Research Institute of Petroleum Exploration&Development Beijing 100083China PetroChina Southwest Oil&Gas Feld Company Chengdu 610051China Exploration and Development Research Institute PetroChina Southwest Oil&Gas Feld CompanyChengdu 610051China School of Geosciences Yangtze UniversityWuhan 430100China

Based on the seismic, logging, drilling and other data, the distribution, structural types and mound-shoal hydrocarbon accumulation characteristics of platform margins of the Sinian Dengying Formation in the Deyang-Anyue Rift and its periphery were analyzed. Four types of platform margins are developed in the Dengying Formation, i.e., single-stage fault-controlled platform margin, multi-stage fault-controlled platform margin, gentle slope platform margin, and overlapping platform margin. In the Gaoshiti West-Weiyuan East area, single-stage fault controlled platform margins are developed in the Deng 2 Member, which trend in nearly NEE direction and are shielded by faults and mudstones, forming fault-controlled–lithologic traps. In the Lezhi-Penglai area, independent and multi-stage fault controlled platform margins are developed in the Deng 2 Member, which trend in NE direction and are controlled by synsedimentary faults;the mound-shoal complexes are aggraded and built on the hanging walls of the faults, and they are shielded by tight intertidal belts and the Lower Cambrian source rocks in multiple directions, forming fault-controlled–lithologic and other composite traps. In the Weiyuan-Ziyang area, gentle slope platform margins are developed in the Deng 2 Member, which trend in NW direction;the mound-shoal complexes are mostly thin interbeds as continuous bands and shielded by tight intertidal belts in the updip direction, forming lithologic traps. In the Gaoshiti-Moxi-Yanting area, overlapping platform margins are developed in the Deng 2 and Deng 4 members;the mound-shoal complexes are aggraded and overlaid to create platform margin buildup with a huge thickness and sealed by tight intertidal belts and the Lower Cambrian mudstones in the updip direction, forming large-scale lithologic traps on the north slope of the Central Sichuan Paleouplift. To summarize, the mound-shoal complexes on the platform margins in the Dengying Formation in the Penglai-Zhongjiang area,

关键词： Sichuan Basin Deyang-Anyue Rift structural type of platform margin mound-shoal complex on the platform margin lithologic trap Sinian Dengying Formation exploration direction

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Optimization of Switched Reluctance Motor for Two Wheels Electric Vehicle

Optimization of Switched Reluctance Motor for Two Wheels Ele...

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International Conference on Electrical Engineering and Informatics, ICEEI

作者： Irza Kusuma Ajie Jihad Furqani Arief Fadillah School of Electrical Engineering and Informatics Bandung Institute of Technology Bandung Indonesia Research and Development Department MAKA-Motors Jakarta Indonesia

Switched reluctance motor (SRM) have become widely used for many application in recent years due to its simple structure. However, recent trend in two wheels electric vehicle application still tends toward the use of brushless DC (BLDC) motor as its main propulsion system. Thus, in this paper, design and analysis of a switched reluctance motor for the application of a two wheels electric vehicle were discussed and further investigated. Analysis of the switched reluctance motor design was performed using software model representation in FEA software. Comparative study of the switched reluctance motor with a brushless DC motor for the application of an two wheels electric vehicle was presented. Optimization of the switched reluctance motor were also performed to further improve the performance of the initial design. From the result, it was found that the switched reluctance motor manage to gives similar performance in terms of its efficiency and torque output as compared to the brushless DC motor and can be considered as a potential replacement for the two wheels electric vehicle application.

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Dynamic evolution characteristics of the “source-reservoir” integration of gray marl and its geological significance to unconventional gas: Insights from pyrolysis experiments

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Petroleum Science 2023年第2期20卷 705-720页

作者： Zhang-Hu Wang Zhong-Liang Ma Lun-Ju Zheng Jun-Yu Wang Zhi-Gang Wen Chen-Yang Si Cooperative Innovation Center of Unconventional Oil and Gas Yangtze UniversityWuhanHubei430100China Key Laboratory of Oil and Gas Resources and Exploration Technology Ministry of EducationCollege of Resources and EnvironmentYangtze UniversityWuhanHubei430100China Wuxi Research Institute of Petroleum Geology Sinopec Exploration and Production Research InstituteWuxiJiangsu214126China State Key Laboratory of Shale Oil and Gas Enrichment Mechanisms and Effective Development WuxiJiangsu214126China School of Metallurgy and Environment Central South UniversityChangshaHunan410083China

The marl–limestone rhythmic strata of the Permian Maokou Formation have been identified as hosts of unconventional gas reservoirs with “source–reservoir” integration. The lack of research on the pore structure evolution of organic-rich carbonate rock restricts gas exploration of these strata. Here, pyrolysis experiments were performed on the Mao-1 carbonate to simulate hydrocarbon generation, expulsion and diagenesis in gray marl from low maturity to overmaturity. The pore structure of this marl is dominated by mesopores and macropores, and the proportion of macropores increases gradually with temperature. The macropores are mainly pores in the organic matter and shrinkage microcracks. Additionally, micropores and mesopores, dominated by clay mineral interlayer pores and pyrite intergranular pores, are developed in the high mature stage and subsequently compressed in the overmature stage. The main contributors to the specific surface area are micropores and mesopores, which are conducive to natural gas adsorption. After the same pyrolysis treatment, the available porosity of grey marl is higher than that of marine/lacustrine shales, and exhibits an obvious decrease in the low mature–mature stage. These suggest that the abundant residual oil generated blocked the organic and inorganic pores in the gray marl, providing a pivotal material foundation for the gas generation. Micropores and mesopores developed during the high mature stage ensure the gas accumulation and preservation. The above indicate the organic-rich carbonate at the high mature–overmature stage (Ro = 1.7%–2.5%) in the Sichuan Basin may be a favorable exploration horizon for unconventional oil and gas.

关键词： Residual oil Organic pores Porosity Sepiolite Hydrocarbon generation

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Simplified Approach to Constructing Coherent Topics and Subtopics from Text Data: A Case Study Using University Reviews

Simplified Approach to Constructing Coherent Topics and Subt...

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International Conference on Big Data and Information Analytics (BigDIA)

作者： Wuttipong Tunyut Puntipa Wanitjirattikal Faculty of Science King Mongkut's Institute of Technology Ladkrabang Thailand Development Research Institute Bangkok Thailand Faculty of Science King Mongkut's Institute of Technology Ladkrabang Bangkok Thailand

ISBN: (数字)9798350354621

ISBN: (纸本)9798350354638

This study introduces a streamlined framework for analyzing hierarchical topic structures in text data, integrating Latent Dirichlet Allocation (LDA), Word2Vec, Bigram phasing, Doc2Vec, and hierarchical clustering. The method ensures both statistical coherence and practical interpretability while avoiding the complexities of traditional hierarchical topic models. Applied to university reviews from various educational platforms, this data offers valuable insights into user experiences but presents challenges due to its unstructured nature. Our framework reveals key topics and sentiment variations: positive feedback highlights facilities and cultural experiences, while negative reviews emphasize workload, academic challenges, and financial pressures, identifying areas for improvement. This approach is particularly effective for moderately sized datasets with well-defined scopes, such as university reviews, where the subject matter is clearly understood.

关键词： Analytical models Reviews Coherence Big Data Data models Complexity theory Resource management Cultural differences

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Intelligent prediction of slope stability based on visual exploratory data analysis of 77 in situ cases

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International Journal of Mining Science and technology 2023年第1期33卷 47-59页

作者： Guangjin Wang Bing Zhao Bisheng Wu Chao Zhang Wenlian Liu Faculty of Land Resources Engineering Kunming University of Science and TechnologyKunming 650093China Yunnan International Technology Transfer Center for Mineral Resources Development and Solid Waste Resource Utilization Kunming 650093China State Key Laboratory of Hydroscience and Engineering Department of Hydraulic EngineeringTsinghua UniversityBeijing 100084China State Key Laboratory of Geomechanics and Geotechnical Engineering Institute of Rock and Soil MechanicsChinese Academy of SciencesWuhan 430071China China Nonferrous Metals Industry Kunming Survey and Design Research Institute Co.Ltd Kunming 650051China

Slope stability prediction research is a complex non-linear system *** carrying out slope stability prediction work,it often encounters low accuracy of prediction models and blind data *** on 77 field cases,5 quantitative indicators are selected to improve the accuracy of prediction models for slope *** indicators include slope angle,slope height,internal friction angle,cohesion and unit weight of rock and *** data aggregation in the prediction of slope stability is analyzed and visualized based on Six-dimension reduction methods,namely principal components analysis(PCA),Kernel PCA,factor analysis(FA),independent component analysis(ICA),non-negative matrix factorization(NMF)and t-SNE(stochastic neighbor embedding).Combined with classic machine learning methods,7 prediction models for slope stability are established and their reliabilities are examined by random cross ***,the significance of each indicator in the prediction of slope stability is discussed using the coefficient of variation *** research results show that dimension reduction is unnecessary for the data processing of prediction models established in this paper of slope *** forest(RF),support vector machine(SVM)and k-nearest neighbour(KNN)achieve the best prediction accuracy,which is higher than 90%.The decision tree(DT)has better accuracy which is 86%.The most important factor influencing slope stability is slope height,while unit weight of rock and soil is the least *** and SVM models have the best accuracy and superiority in slope stability *** results provide a new approach toward slope stability prediction in geotechnical engineering.

关键词： Slope stability prediction Machine learning algorithm Dimensionality reduction visualization Random cross validation Coefficient of variation

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research on development status and technology trend of intelligent autonomous ammunition

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Journal of Physics: Conference Series 2021年第1期1721卷

作者： D W Liu J Sun D G Huang X Y Wang K Cheng W Q Yang J Y Ding China Research Development Academy of Machinery Equipment Beijing 100089 China Department of Automation Tsinghua University Beijing 100084 China School of Aerospace Engineering Beijing Institute of Technology Beijing 100081 China Aviation Ammunition Research Institute of NORINCO GROUP Harbin 150030 China

research on the new tasks and capabilities are required for ammunition in the future intelligent air combat, the concept of smart munitions is put forward, and the intelligent development approaches of single equipment intelligence, system intelligence, swarm intelligence and system of system intelligence are put forward. This paper classifies and analyzes the relevant projects currently carried out by the US military, and on this basis summarizes the development trend of airborne smart munitions. Finally, some suggestions for the development of airborne smart munitions in China are given. The above research results will provide reference for the construction of intelligent equipment system of airborne intelligent ammunition and the direction of technology research.

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Spectral and biodistributional engineering of deep near-infrared chromophore

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Chinese Chemical Letters 2023年第9期34卷 176-182页

作者： Yan Dong Xicun Lu Yi Li Weichao Chen Lei Yin Jie Zhao Xinru Hu Xinran Li Zuhai Lei Yuyang Wu Hao Chen Xiao Luo Xuhong Qian Youjun Yang State Key Laboratory of Bioreactor Engineering Shanghai Key Laboratory of Chemical BiologySchool of PharmacyEast China University of Science and TechnologyShanghai 200237China Shanghai Engineering Research Center of Molecular Therapeutics and New Drug Development School of Chemistry and Molecular EngineeringEast China Normal UniversityShanghai 200241China Molecular Imaging Center Shanghai Institute of Materia MedicaChinese Academy of SciencesShanghai 201203China

Fluorescence-guided surgery calls for development of near-infrared *** the wide-spread application and a safe clinical record of Indocyanine Green(ICG),its maximal absorption wavelength at780 nm is rather short and longer-wavelength dyes are desired to exploit such benefits as low phototoxicity and deep penetration ***,we report ECY,a stable deep near-infrared(NIR)fluorochromic scaffold absorbing/emitting at 836/871 nm with a fluorescence quantum yield of 16%in CH_(2)Cl_(2).ECY was further rationally engineered for biological distribution *** bearing different numbers of sulfonate group or a polyethylene glycol chain were *** screening this focused library upon intravenous injection to BALB/c mice,ECYS2 was identified to be a suitable candidate for bioimaging of organs involved in hepatobiliary excretion,and ECYPEG was found to be a superior candidate for vasculature *** have potentials in intraoperative imaging.

关键词： Near infrared fluorophore In vivo imaging Molecular engineering Biological distribution Angiography

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Climate Change and Armed Conflict: An Investigation 3

Climate Change and Armed Conflict: An Investigation

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3rd International Conference on Computational Modelling, Simulation and Optimization, ICCMSO 2024

作者： Nirmala, O. Manoharan, Geetha Rao, Col B.S. Razak, Abdul Selvaraj, Franklin John Purushottam Ashtikar, Sunitha Department of Defense and Strategic Studies Chennai India SR University School of Business Warangal India SR University SRiX Warangal India Entrepreneurship Development Institute of India Department of Policy Advocacy Research and Knowledge Ahmedabad India Dr. N G P Institute of Technology Department of Management Studies Coimbatore India

ISBN: (纸本)9798350361391

It is obvious that the processes that lead to conflict are multidimensional and complex. Similarly, we can make a connection between climate change and conflict by focusing on natural resources and conflict. The conflict may be due to poverty, religion, foreign intervention, racism, human nature, political disparities, and economic inequalities and more specifically due to the competition of scarce resources, especially non-renewable energy resources. The present study tries to explore the link between climate change exclusively due to the excessive use of non-renewable energy resources and its repercussions on climate which ultimately turns into armed conflict. © 2024 IEEE.

关键词： Armed Conflict Climate Change Competition over Scarce Resources Energy Security Environment Security National Security

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