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International Conference on Intelligent systems: Theories and Applications (SITA)

作者： Jamal Eddine Rafiq Mohammed Amraouy Abdelwahed Namir Abdellah Bennane Abdelali Zakrani Laboratory of Information Technology and Modeling Ben M'sik Faculty of Science Hassan II University Casablanca Morocco National Institute of Posts and Telecommunications Rabat Morocco Inspectors Training Center for Education Mohammed V University Rabat Morocco Laboratory of Artificial Intelligence & Complex Systems Engineering National School of Arts and Crafts of Casablanca Hassan II University Casablanca Morocco

As online learning evolves rapidly and discussion forums become increasingly important in educational environments, this study analyzes the impact of participation in discussion forums on the learning performance of future computer science teachers. Data were collected to assess their level of engagement and academic outcomes. The methodology included the use of natural language processing techniques, such as the Bidirectional Encoder Representations from Transformers (BERT) model, and Latent Semantic Analysis (LSA) to analyze the emotional state and relevance of their contributions. Preliminary results indicate a positive correlation between active participation and their learning performance. Additionally, this study makes a significant contribution by analyzing the correlation between various participation factors and learner performance. These findings highlight the importance of discussion forums as interactive educational tools to enhance learning and promote learner engagement. Important implications are also presented in relation to the obtained results.

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RainGaugeNet: CSI-Based Sub-6 GHz Rainfall Attenuation Measurement and Classification for ISAC Applications

arXiv

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arXiv 2025年

作者： Li, Yan Yang, Jie Huang, Yixuan Yang, Tao Wen, Chao-Kai Jin, Shi The National Mobile Communications Research Laboratory Southeast University Nanjing210096 China Frontiers Science Center for Mobile Information Communication and Security Key Laboratory of Measurement and Control of Complex Systems of Engineering Ministry of Education Southeast University Nanjing210096 China The National Engineering Research Center of Water Resources Efficient Utilization and Engineering Safety Institute of Water Science and Technology Hohai University Nanjing210098 China The Institute of Communications Engineering National Sun Yat-sen University Kaohsiung80424 Taiwan The National Mobile Communications Research Laboratory Southeast University Frontiers Science Center for Mobile Information Communication and Security Nanjing210096 China

Rainfall impacts daily activities and can lead to severe hazards such as flooding. Traditional rainfall measurement systems often lack granularity or require extensive infrastructure. While the attenuation of electromagnetic waves due to rainfall is well-documented for frequencies above 10 GHz, sub-6 GHz bands are typically assumed to experience negligible effects. However, recent studies suggest measurable attenuation even at these lower frequencies. This study presents the first channel state information (CSI)-based measurement and analysis of rainfall attenuation at 2.8 GHz. The results confirm the presence of rain-induced attenuation at this frequency, although classification remains challenging. The attenuation follows a power-law decay model, with the rate of attenuation decreasing as rainfall intensity increases. Additionally, rainfall onset significantly increases the delay spread. Building on these insights, we propose RainGaugeNet, the first CSI-based rainfall classification model that leverages multipath and temporal features. Using only 20 seconds of CSI data, RainGaugeNet achieved over 90% classification accuracy in line-of-sight scenarios and over 85% in non-line-of-sight scenarios, significantly outperforming state-of-the-art methods. Copyright © 2025, The Authors. All rights reserved.

关键词： Channel state information

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Integrated carbon and nitrogen management for cost-effective environmental policies in China

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science (New York, N.Y.) 2025年第6751期388卷 1098-1103页

作者： Xin Xu Xiuming Zhang Yiyang Zou Tianrun Chen Jingfang Zhan Luxi Cheng Wilfried Winiwarter Shaohui Zhang Peter M Vitousek Wim de Vries Baojing Gu State Key Laboratory of Soil Pollution Control and Safety Zhejiang University Hangzhou China. College of Environmental and Resource Sciences Zhejiang University Hangzhou China. International Institute for Applied Systems Analysis Laxenburg Austria. Ministry of Education Key Laboratory of Environment Remediation and Ecological Health Zhejiang University Hangzhou China. College of Computer Science and Technology Zhejiang University Hangzhou China. Policy Simulation Laboratory Zhejiang University Hangzhou China. Institute of Environmental Engineering University of Zielona Góra Zielona Góra Poland. School of Economics and Management Beihang University Beijing China. Department of Earth System Science Stanford University Stanford CA USA. Wageningen University and Research Earth Systems and Global Change Group Wageningen Netherlands. Zhejiang Provincial Key Laboratory of Agricultural Resources and Environment Zhejiang University Hangzhou China.

Carbon and nitrogen are central elements in global biogeochemical cycles. To effectively manage carbon and nitrogen in China, we developed a comprehensive model for quantifying their fluxes, investigating their interplay across 16 human and natural subsystems. Between 1980 and 2020, nitrogen losses in China increased 2.3-fold and carbon emissions surged 6.5-fold. Integrated carbon and nitrogen management holds the potential for a 74% reduction in nitrogen losses to air and water and a 91% decrease in carbon emissions to the atmosphere by 2060. Compared with separate control of carbon or nitrogen, integrated management delivers an additional reduction of 1.8 million tons of nitrogen and 26.5 million tons of carbon by 2060, bringing out a 37% decrease in unit abatement cost and a net societal benefit of 1384 billion USD.

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An efficient algorithm for vibration analysis of a periodic acoustic black hole structure based on model order reduction

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Thin-Walled Structures 2025年 215卷

作者： Feng, Yu He, Bin Wang, Jinghong Yang, Fufeng Li, Shutian Institute of Launch Dynamics Nanjing University of Science and Technology Nanjing210094 China National Key Laboratory of Complex Multibody Systems Dynamics Nanjing University of Science and Technology Nanjing210094 China

Acoustic Black Hole (ABH) has become a focal point of engineering and theoretical research in the field of vibroacoustic analysis, owing to its effective bending wave control abilities. Periodic arrangements can enhance the vibration attenuation performance of the ABH structure. However, an accurate description of the motion of the ABH structure requires numerous meshes in the finite element method (FEM), leading to a significant computational cost. To overcome this problem, a reduced order transfer matrix method for periodic structures (ROTMM-PS) is presented to accelerate the modeling and vibration analysis of complex periodic ABH structures. In this approach, the number of the interface and internal degrees of freedom (DOFs) of the ABH unit-cell is firstly reduced using the multi-point constraint (MPC) technique and the component modal synthesis (CMS) method. After deriving the transfer matrix of the reduced model of the unit-cell, the overall transfer equations can be efficiently assembled by leveraging the self-similarity property of the periodic structure. In the numerical instance, the natural frequencies, modal shapes and time-domain responses of a periodic ABH structure with large DOFs are calculated using ROTMM-PS. Moreover, the computational accuracy of the proposed method is evaluated by comparing with the results of the CMS method and the FEM. The efficiency is evaluated by computing the natural frequencies for periodic ABH structures with varying numbers of unit-cells. © 2025 Elsevier Ltd

关键词： Transfer matrix method

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Set-Assigned Distance-Like Functions and the Induced Quotient Metric Space

SSRN

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SSRN 2023年

作者： Su, Xifeng Cui, Xiaojun Jin, Liang School of Mathematical Sciences Laboratory of Mathematics and Complex Systems Ministry of Education Beijing Normal University No. 19 XinJieKouWai St.HaiDian District Beijing100875 China Department of Mathematics Nanjing University Nanjing210093 China Department of Mathematics Nanjing University of Science and Technology Nanjing210094 China

On a complete, connected, locally compact, non-compact geodesic space (X,d), we assign each compact set a distance-like function. With the help of these functions, we obtain a pseudo-metric on the space of (non-empty) compact subsets of X which is less than the Hausdorff distance. The quotient metric space is closely related to the large scale geometry of the ambient metric *** particular, we study both extreme cases –the pseudo-metric either vanishes or equals the original distance. The compactness of the level sets as well as stability under the Gromov-Hausdorff topology of such dl-functions are also investigated. As an application, we also give a representation formula of any distance-like function in terms of the singleton-assigned distance-like functions defined here. © 2023, The Authors. All rights reserved.

关键词： Topology

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Acid-Resistant Nanofiltration Facilitated Non-Saponified Extraction of Rare Earth

SSRN

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SSRN 2023年

作者： Lai, Wei Shan, Linglong Li, Zhenyuan Bai, Ju Xiao, Luqi Zheng, Peijun Bai, Lu Yang, Youming Luo, Shuangjiang Faculty of Materials Metallurgy and Chemistry Jiangxi University of Science and Technology Ganzhou341000 China Ganjiang Innovation Academy Chinese Academy of Sciences Ganzhou341000 China CAS Key Laboratory of Green Process and Engineering State Key Laboratory of Multiphase Complex Systems Beijing Key Laboratory of Ionic Liquids Clean Process Institute of Process Engineering Chinese Academy of Sciences Beijing100190 China Langfang Green Industrial Technology Center Langfang065000 China

The conventional extraction of rare earth (RE) with alkali saponification consumes plenty of alkalis and produces enormous salt effluents. Herein, we propose a novel environmental-friendly non-saponified RE extraction process facilitated by acid-resistant nanofiltration (NF) membranes, in which the non-saponified organic phase directly extracts with RE feed by the multi-stage cross-current approach and the exchanged acid in the raffinate is removed by the acid-resistant NF membrane. The deacidified raffinate is reused as the feed of the non-saponified extraction. The obtained acid solution can be used for leaching or scrubbing after concentration. The feed concentration of the non-saponified extraction was optimized, and a high RE concentration of 0.21 mol L-1 in the organic phase and an average extraction rate of 89.9% were obtained with a 0.1 mol L-1 feed RE concentration. 99% of the acid in the raffinate was removed by acid-resistant NF under a RECl3 concentration of 4.9 g L-1, along with a recovered pH value of ~3, resulting in a high total RE yield of 99.6%. The acid-resistant NF facilitated non-saponified extraction featuring high atom economy, absence of alkalis consumption and salinity effluent emission, and eco-recycle of the raffinate render the separation of RE elements a versatilely sustainable and green process. © 2023, The Authors. All rights reserved.

关键词： Rare earths

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Toward parallel intelligence: an interdisciplinary solution for complex systems

arXiv

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arXiv 2023年

作者： Zhao, Yong Zhu, Zhengqiu Chen, Bin Qiu, Sihang Huang, Jincai Lu, Xin Yang, Weiyi Ai, Chuan Huang, Kuihua He, Cheng Jin, Yucheng Liu, Zhong Wang, Fei-Yue College of Systems Engineering National University of Defense Technology Changsha410073 China Hunan Institute of Advanced Technology Changsha410073 China Shanghai Institute of Infectious Disease and Biosecurity Shanghai200032 China Neuherberg Germany Department of Computer Science Hong Kong Baptist University 999077 Hong Kong State Key Laboratory for Management and Control of Complex Systems Institute of Automation Chinese Academy of Sciences Beijing100190 China

The growing complexity of real-world systems necessitates interdisciplinary solutions to confront myriad challenges in modeling, analysis, management, and control. To meet these demands, the parallel systems method rooted in Artificial systems, Computational experiments, and Parallel execution (ACP) approach has been developed. The method cultivates a cycle, termed parallel intelligence, which iteratively creates data, acquires knowledge, and refines the actual system. Over the past two decades, the parallel systems method has continuously woven advanced knowledge and technologies from various disciplines, offering versatile interdisciplinary solutions for complex systems across diverse fields. This review explores the origins and fundamental concepts of the parallel systems method, showcasing its accomplishments as a diverse array of parallel technologies and applications, while also prognosticating potential challenges. We posit that this method will considerably augment sustainable development while enhancing interdisciplinary communication and cooperation. © 2023, CC BY-NC-ND.

关键词： Iterative methods

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Stochasticity dominates assembly processes of soil nematode metacommunities on three Asian mountains

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Pedosphere 2023年第2期33卷 331-342页

作者： Shuqi ZOU Jonathan ADAMS Zhi YU Nan LI Dorsaf KERFAHI Binu TRIPATHI Changbae LEE Teng YANG Itumeleng MOROENYANE Xing CHEN Jinsoo KIM Hyun Jeong KWAK Matthew Chidozie OGWU Sang-Seob LEE Ke DONG Department of Integrative Biotechnology Sungkyunkwan University300 Chuncheon-DongSuwon 16419(Korea) School of Geographic and Oceanographic Sciences Nanjing UniversityNanjing 210008(China) Key laboratory of Ministry of Education for Environment Change and Resources Use in Beibu Gulf Guangxi Key Laboratory of Earth Surface Processes and Intelligent SimulationNanning Normal University175 East Mingxiu RoadNanning 530001(China) School of Natural Sciences Department of Biological SciencesKeimyung UniversityDaegu 42601(Korea) Korea Polar Research Institute Incheon 21990(Korea) Department of Forestry Environment and SystemsKookmin UniversitySeoul 02707(Korea) State Key Laboratory of Soil and Sustainable Agriculture Institute of Soil ScienceChinese Academy of Sciences71 East Beijing RoadNanjing 210008(China) Institut National Recherche Scientifique Institut Armand-Frappier SantéBiotechnologie531 Boulevard des PrairiesLaval H7V1B7(Canada) College of Life Science and Technology Guangxi University100 Daxue RoadNanning 530004(China) Department of Biological Sciences Kyonggi University154-42 Gwanggyosan-roYeongtong-guSuwon-siGyeonggi-do 16227(Korea) School of Biological Sciences Seoul National University1 Gwanak-roSeoul 08826(Korea)

Nematodes play an important role in ecosystems;however,very little is known about their assembly processes and the factors influencing *** studied nematode communities in bulk soils from three Asian mountain ecosystems to determine the assembly processes of free-living nematode metacommunities and their driving *** each mountain,elevations span a range of climatic conditions with the potential to reveal assembly processes that predominate across multiple biomes.A phylogenetic null modeling framework was used to analyze 18S rRNA gene amplicons to quantify various assembly *** found that phylogenetic turnover between nematode communities on all mountains was dominated by stochastic processes,with“undominated processes”being the most predominant stochastic *** has a significant impact on the relative importance of deterministic and stochastic processes.A variety of climatic and edaphic variables significantly influenced the variations in community assembly processes with elevation,even though their impacts were not consistent between the ***,our results indicate that free-living nematode metacommunities in a wide range of environments are largely structured by stochastic processes rather than by niche-based deterministic processes,suggesting that metacommunities of soil free-living nematodes may respond to climate change in a largely unpredictable way.

关键词： climate change ecological drift elevation gradient environmental stress stochastic process

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Quantization improvements for LU Decomposition to Solve Linear Equations *

Quantization improvements for LU Decomposition to Solve Line...

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IEEE International Conference on Big Data and Cloud Computing (BdCloud)

作者： Lin Chen Kang He Hao Jiang Roberto Barrio Jie Liu Tiejun Li Science and Technology on Parallel and Distributed Processing Laboratory Laboratory of Software Engineering for Complex Systems National University of Defense Technology Changsha China College of Computer Science and Technology National University of Defense Technology Changsha China University of Zaragoza Zaragoza Spain

Quantization is an effective method for compressing Deep Neural Networks. Now, it is considered to accelerate the traditional HPC applications. In this article, we present a quantization method (q8gemm) using integer 8-bits(INT8) for matrix multiplication, which is implemented by block techniques to overcome the overflow problem. We choose different scales for one matrix’s each row and those for the other matrix’s each column to keep the numbers in range. With the intel advanced matrix extension cblas_gemm_s8u8s32, our q8gemm can accelerate panel-matrix multiplication in LU factorization. Furthermore, we propose a new mixed-precision solver (q8gesv 1 ) for the linear equations. Using q8gemm in INT8, q8gesv modifies LU factorization in FP32 and then utilizes GMRES iterative refinement in FP64 to bring the solution back to 64 bits accuracy. Numerical tests show that on two Intel CPU platforms with avx2 and avx512, q8gemm achieves a speedup of 1.313-1.621 over cblas_sgemm of MKL. The execution time of cblas_gemm_s8u8s32 makes up 86.78%-90.85% of the q8gemm. By means of q8gemm, our q8gesv can achieve a speedup of 1.176-1.493 over the optimized Higham’s mixed-precision algorithm utilized in the HPL-AI benchmark and a speedup of 1.1-1.459 over the LAPACKE_dsgesv function from MKL LAPACK. Meanwhile, q8gesv runs up to 2.859X faster on Intel(R) Core(TM) i5-10600KF and to 2.224X faster on Intel(R) Xeon(R) Gold 6130 than the LAPACKE_dgesv function from MKL LAPACK.

关键词： Deep learning Gold Quantization (signal) Benchmark testing

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Computer-aided ionic liquid design for alkane/cycloalkane extractive distillation process

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Green Energy & Environment 2019年第2期4卷 154-165页

作者： Zhen Song Xinxin Li He Chao Fan Mo Teng Zhou Hongye Cheng Lifang Chen Zhiwen Qi State Key Laboratory of Chemical Engineering School of Chemical Engineering East China University of Science and Technology Process Systems Engineering Max Planck Institute for Dynamics of Complex Technical Systems

A computer-aided ionic liquid design(CAILD) study is presented for the frequently encountered alkane/cycloalkane separations in petrochemical industry. Exhaustive experimental data are first collected to extend the UNIFAC-IL model for this system, where the proximity effect in alkanes and cycloalkanes is considered specifically by defining distinct groups. The thermodynamic performances of a large number of ILs for 4 different alkane/cycloalkane systems are then compared to select a representative example of such separations. By applying n-heptane/methylcyclohexane extractive distillation as a case study, the CAILD task is cast as a mixed-integer nonlinear programming(MINLP) problem based on the obtained task-specific UNIFAC-IL model and two semi-empirical models for IL physical properties. The top 5 IL candidates determined by solving the MINLP problem are subsequently introduced into Aspen Plus for process simulation and economic analysis, which finally identify 1-hexadecyl-methylpiperidinium tricyanomethane([C_(16)MPip][C(CN)_3]) as the best entrainer for this separation.

关键词： CAILD Alkane/cycloalkane extractive distillation UNIFAC-IL MINLP Process performance and economics

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