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Large-Scale Tensorized Multi-View Kernel Subspace Clustering

ACM Transactions on Intelligent Systems and Technology 1000年

作者： Guang-Yu Zhang Dong Huang Chang-Dong Wang College of Mathematics and Informatics South China Agricultural University China School of Computer Science and Engineering Sun Yat-sen University Guangxi Key Laboratory of Digital Infrastructure Guangxi Zhuang Autonomous Region Information Center Guangdong Key Laboratory of Big Data Analysis and Processing Key Laboratory of Machine Intelligence and Advanced Computing Ministry of Education China

The Anchor-based Multi-view Subspace Clustering (AMSC) has turned into a favourable tool for large-scale multi-view clustering. However, there still exist some limitations to the current AMSC approaches. First, they typically recover anchor graph structure in the original linear space, restricting their feasibility for nonlinear scenarios. Second, they usually overlook the potential benefits of jointly capturing the inter-view and intra-view information for enhancing the anchor representation learning. Third, these approaches mostly perform anchor-based subspace learning by a specific matrix norm, neglecting the latent high-order correlation across different views. To overcome these limitations, this paper presents an efficient and effective approach termed Large-scale Tensorized Multi-view Kernel Subspace Clustering (LTKMSC). Different from the existing AMSC approaches, our LTKMSC approach exploits both inter-view and intra-view awareness for anchor-based representation building. Concretely, the low-rank tensor learning is leveraged to capture the high-order correlation (i.e., the inter-view complementary information) among distinct views, upon which the \(l_{1,2}\) norm is imposed to explore the intra-view anchor graph structure in each view. Moreover, the kernel learning technique is leveraged to explore the nonlinear anchor-sample relationships embedded in multiple views. With the unified objective function formulated, an efficient optimization algorithm that enjoys low computational complexity is further designed. Extensive experiments on a variety of multi-view datasets have confirmed the efficiency and effectiveness of our approach when compared with the other competitive approaches.

关键词： data clustering Multi-view clustering Large-scale clustering Tensorized kernel subspace clustering Inter-view and intra-view awareness

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A Multi-Perspective Exploration of the Salinization Mechanisms of Groundwater in the Guanzhong Basin, China

SSRN

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SSRN 2024年

作者： Mu, Dawei Li, Peiyue De Baets, Bernard Li, Dongfeng Li, Zhaoyu He, Song School of Water and Environment Chang’an University No.126 Yanta Road Shaanxi Xi’an710054 China Key Laboratory of Subsurface Hydrology and Ecological Effects in Arid Region The Ministry of Education Chang’an University No.126 Yanta Road Shaanxi Xi’an710054 China Key Laboratory of Eco-hydrology and Water Security in Arid and Semi-arid Regions The Ministry of Water Resources Chang’an University No.126 Yanta Road Shaanxi Xi’an710054 China KERMIT Department of Data Analysis and Mathematical Modelling Ghent University Coupure Links 653 Ghent9000 Belgium PowerChina Sinohydro Bureau 3 Co. Ltd. No. 4069 Expo Avenue Chanba Ecological District Shaanxi Xi’an710024 China PowerChina Northwest Engineering Corporation Limited No. 18 Zhangbadong Road Shaanxi Xi’an710065 China

To determine the mechanism responsible for the saline groundwater enrichment in different regions of the Guanzhong Basin, China, and to reveal the factors influencing salinization, this study employed multivariate statistical methods, hydrochemical analysis, isotope studies, and hydrochemical modeling. The results indicate significant regional variations in total dissolved solids (TDS), with concentrations exceeding 1000 mg/L predominantly occurring north of the Weihe River and east of the Jinghe River. The correlations of groundwater chloride (Cl) with Cl/Br molar ratio and stable isotopes show that groundwater salinity in the Guanzhong Basin is mainly controlled by mineral dissolution, evaporation, and concentration. In addition, human activities, such as vertical irrigation recharge and excessive fertilizer use, exacerbate local salinity levels. Irrigation activities worsen the shallow groundwater salt enrichment in the runoff zone of the Central Basin, revealed by the high salinity (> 3000 mg/L), high Cl/Br ratios (> 2000), moderate δ2H (-57.5 to -67.5‰) and moderate δ18O (-8.1 to -8.9‰). High salinity (> 1000 mg/L), high nitrate concentration (> 100 mg/L), and moderate Cl (100 to 500 mg/L) indicate the impact of excessive fertilizer use. It is worth noting that intensive groundwater withdrawal disrupts the dynamic balance within the aquifer, causing shallow high-saline groundwater to percolate downward, thereby increasing the risk of deep groundwater pollution. The research enhances the understanding of groundwater salinity transport and provides insights into the effects of groundwater salinization in the irrigation area. © 2024, The Authors. All rights reserved.

关键词： Groundwater pollution

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Neutrino Rocket Jet Model: An Explanation of High-velocity Pulsars and Their Spindown Evolution

arXiv

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arXiv 2022年

作者： Li, Zheng Peng, Qiu-He Kang, Miao Liu, Xiang Zhang, Ming Huang, Yong-Feng Chou, Chih-Kang Xinjiang Astronomical Observatory Chinese Academy of Sciences 150 Science 1-Street Urumqi830011 China Key Laboratory for Radio Astronomy Chinese Academy of Sciences 2 West Beijing Road Nanjing210008 China University of Chinese Academy of Sciences 19A Yuquan Road Beijing100049 China College of Big Data and Information Engineering Guizhou University Guiyang550025 China School of Astronomy and Space Science Nanjing University Nanjing210023 China Key Laboratory of Radio Astrophysics in Xinjiang Province Urumqi830011 China School of Physics and Electronics Henan University Kaifeng China Ministry of Education Nanjing210023 China National Astronomical Observatories Chinese Academy of Sciences Beijing China

The fact that the spatial velocity of pulsars is generally higher than that of their progenitor stars has bothered astronomers for nearly 50 years. It has been extensively argued that the high pulsar velocity should be acquired during a natal kick process on a timescale of 100 ms-10 s in the supernova explosion, in which some asymmetrical dynamical mechanism plays a key role. However, a satisfactory picture generally is still lacking. In this study, it is argued that the neutrino rocket model can well account for the high speed as well as the long-term evolution behaviors of pulsars. The neutrinos are emitted from superfluid vortex neutrons through the neutrino cyclotron radiation mechanism. The unique characters of left-handed neutrinos and right-handed antineutrinos resulting from the nonconservation of parity in weak interactions play a major role in the spatial asymmetry. The continuous acceleration of pulsars can be naturally explained by this model, which yields a maximum velocity surpassing 1000 kms-1. The alignment between the spinning axis and the direction of motion observed for the Crab pulsar (PSR 0531) and the Vela pulsar (PSR 0833) can be well accounted for. The observed correlation between the spin-down rate and the period of long-period pulsars with P0.5 s can also be satisfactorily explained. Copyright © 2022, The Authors. All rights reserved.

关键词： Pulsars

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Inequality-Type Zhang Equivalency Originating from Neural Dynamics for Time-Varying Problems Solving

Inequality-Type Zhang Equivalency Originating from Neural Dy...

引用

IEEE International Conference on Mechatronics and Automation

作者： Yunong Zhang Liangjie Ming Min Yang Binbin Qiu Zhonghua Li School of Data and Computer Science Sun Yat-sen University Guangzhou P. R. China Research Institute of Sun Yat-sen University in Shenzhen Shenzhen P. R. China Key Laboratory of Machine Intelligence and Advanced Computing Ministry of Education Guangzhou P. R. China School of Electronics and Information Technology Sun Yat-sen University Guangzhou P. R. China School of Intelligent Systems Engineering Sun Yat-sen University Guangzhou P. R. China

ISBN: (数字)9781728164168

ISBN: (纸本)9781728164175

In this paper, a concept of Zhang equivalency (ZE) is presented, and its type of inequality to inequality (simply termed, inequality type) is further discussed. By applying Zhang neural dynamics method, we thus propose the order-1, order2, and order-3 ZE general formulas of such an inequality type, respectively. Then, the inequalities in four different situations are investigated, i.e., the robot situation, matrix situation (including matrix-vector situation), state-control situation, and state situation. We propose the corresponding order-1, order-2, and order-3 ZE formulas to prepare for solving corresponding time-varying inequality-related problems.

关键词： Mechatronics Automation Conferences Linear matrix inequalities Problem-solving Robots

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PepHarmony: A Multi-View Contrastive Learning Framework for Integrated Sequence and Structure-Based Peptide Encoding

arXiv

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arXiv 2024年

作者： Zhang, Ruochi Wu, Haoran Liu, Chang Li, Huaping Wu, Yuqian Li, Kewei Wang, Yifan Deng, Yifan Chen, Jiahui Zhou, Fengfeng Gao, Xin Key Laboratory of Symbolic Computation and Knowledge Engineering Ministry of Education Jilin University Jilin Changchun130012 China School of Artificial Intelligence Jilin University Jilin Changchun130012 China Syneron Technology Guangzhou510700 China Beijing Life Science Academy Beijing102209 China School of Biomedical Sciences LKS Faculty of Medicine The University of Hong Kong Hong Kong Thuwal23955 Saudi Arabia Thuwal23955 Saudi Arabia College of Software Jilin University Jilin Changchun130012 China College of Computer Science and Technology Jilin University Jilin Changchun130012 China

Recent advances in protein language models have catalyzed significant progress in peptide sequence representation. Despite extensive exploration in this field, pre-trained models tailored for peptide-specific needs remain largely unaddressed due to the difficulty in capturing the complex and sometimes unstable structures of peptides. This study introduces a novel multi-view contrastive learning framework PepHarmony for the sequence-based peptide encoding task. PepHarmony innovatively combines both sequence- and structure-level information into a sequence-level encoding module through contrastive learning. We carefully select datasets from the Protein data Bank (PDB) and AlphaFold database to encompass a broad spectrum of peptide sequences and structures. The experimental data highlights PepHarmony's exceptional capability in capturing the intricate relationship between peptide sequences and structures compared with the baseline and fine-tuned models. The robustness of our model is confirmed through extensive ablation studies, which emphasize the crucial roles of contrastive loss and strategic data sorting in enhancing predictive performance. The proposed PepHarmony framework serves as a notable contribution to peptide representations, and offers valuable insights for future applications in peptide drug discovery and peptide engineering. We have made all the source code utilized in this study publicly accessible via GitHub at https://***/zhangruochi/PepHarmony or http://***/supp/. © 2024, CC BY-NC-ND.

关键词： Peptides

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Design of a Daily Brief Business Report Generator based on Web Scraping with KNN Algorithm

引用

Journal of Physics: Conference Series 2019年第5期1345卷

作者： Gang Lin Yanchun Liang Xiaoyang Fu Guangshun Chen Shaocan Cai Zhuhai Laboratory of Key Laboratory of Symbol Computation and Knowledge Engineering of Ministry of Education Department of Computer Science and Technology School of Computer Science Zhuhai 519041 Guangdong China Department of Computer Science and Technology School of Computer Science Zhuhai College of Jilin University Zhuhai 519041 Guangdong China

In order to generate a report for an enterprise where there is neither the API supporting from their existing website systems nor the granted database access rights approval, a daily business report generator system based on web scraping with k nearest neighbor (kNN) classification algorithm is proposed in this paper. It covers the web crawler technology that is to access existing website system and extract business data. The kNN algorithm is applied to identify the verification code on the login page, and the brief daily report generating in a spread-sheet style grid. Compared with some OCR engine for image recognition, the system in Python can automatically generate the brief daily business reports by the kNN algorithm, which is better than some library with default training set on validating the verification code.

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An unmanned aerial vehicle pose estimation system based on SLAM

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IOP Conference Series: Materials Science and engineering 2019年第4期569卷

作者： Xinglei Dou Yuzhou Huo Yongchang Liu Xin Wang College of Software Engineering Jilin University Changchun Jilin 130012 China College of Computer Science and Technology Jilin University Changchun Jilin 130012 China Key Laboratory of Symbolic Computation and Knowledge Engineer of Ministry of Education Jilin University Changchun Jilin 130012 China

This paper presents an unmanned aerial vehicle (UAV) pose estimation system based on monocular simultaneous localization and mapping (SLAM) guided by the desired shot. The system enables UAV to automatically adjust the pose to achieve a shot close to the desired shot provided by the user. The SLAM module in the system includes ORB feature-based visual odometry and Levenberg-Marquardt method-based optimizer. To ensure the reliability of the camera pose estimation result, the bag of words model is used to select an image which has enough good matches with the desired shot. The experimental results prove that the system is valid and effective.

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Corrigendum to “Catalog segmentation with double constraints in business” [Pattern Recognition Letters 30 (4) (2009) 440–448]

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Pattern Recognition Letters 2009年第15期30卷 1440-1440页

作者： Xiujuan Xu Yu Liu Zhe Wang Chunguang Zhou Yanchun Liang College of Computer Science Jilin University Key Laboratory of Symbol Computation and Knowledge Engineering of the Ministry of Education Changchun 130012 China School of Software Dalian University of Technology Dalian Economic and Technological Development Zone Liaoning Number 8 Road Dalian 116620 China

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Correlation and Causality between the Built Environment and Traffic Congestion: A Case Study in New York City

SSRN

引用

SSRN 2024年

作者： Huan, Weihua Huang, Wei Li, Songnian Liu, Xintao Wu, Hangbin Diao, Mi Li, Hao Grinberger, A. Yair Liu, Haobing Liu, Chun College of Surveying and Geo-informatics Tongji University Shanghai200092 China Department of Civil Engineering Toronto Metropolitan University TorontoM5B 2K3 Canada Department of Land Surveying and Geo-Informatics The Hong Kong Polytechnic University Kowloon Hong Kong College of Architecture and Urban Planning Tongji University Shanghai200092 China Department of Aerospace and Geodesy Professorship for Big Geospatial Data Management Technical University of Munich Munich80333 Germany Department of Geography Hebrew University of Jerusalem Israel The Key Laboratory of Road and Traffic Engineering Ministry of Education Tongji University Shanghai200092 China Urban Mobility Institute Tongji University Shanghai200092 China

The built environment’s impact on traffic congestion has been a matter of ongoing discussion. Despite the emphasis on their correlation, a comprehensive understanding of the underlying mechanisms for traffic congestion remains elusive. This study presents a systematic analysis of the correlation and causality between the built environment and traffic congestion in New York City (NYC), the United States. Utilizing road segment statistical level data, we employed the ordinary least squares regression to and five causal inference models, namely, Granger causality, structural equation model, causal forest, causal impact, and convergent cross mapping to explore the underlying mechanisms. Then, based on the correlation and causality findings, the causes behind the perpetually congested road segments are further uncovered by mantel test. The results reveal that: (1) out of the 31 selected built environment factors, 19 significantly affect traffic congestion, 11 of which are identified as causes;(2) road design and the distance from transit hubs to congested roads are actually the primary causes of traffic congestion in NYC;(3) perpetually congested roads in NYC can be mainly clustered into two types exhibiting four spatiotemporal congestion patterns, with distance and destination accessibility being the most robust causes. © 2024, The Authors. All rights reserved.

关键词： Traffic congestion

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Insight into disinfection byproduct formation potential of aged biochar and its effects during chlorination

引用

Journal of environmental management 2022年 317卷 115437页

作者： Hailan Yang Shujing Ye Han Wang Chengyun Zhou Ting Xiong Yuanyuan Deng Qianmin Fu Guangming Zeng Zhuotong Zeng Xiaofei Tan Department of Dermatology Second Xiangya Hospital Central South University Changsha 410011 PR China College of Environmental Science and Engineering and Key Laboratory of Environmental Biology and Pollution Control (Ministry of Education) Hunan University Changsha 410082 PR China. College of Environmental Science and Engineering and Key Laboratory of Environmental Biology and Pollution Control (Ministry of Education) Hunan University Changsha 410082 PR China School of Resources Environment and Materials Guangxi University Nanning 530004 PR China. Institute of Big Data and Internet Innovation Hunan University of Technology and Business Changsha 410205 PR China. College of Environmental Science and Engineering and Key Laboratory of Environmental Biology and Pollution Control (Ministry of Education) Hunan University Changsha 410082 PR China. Electronic address: zengzhuotong@***. College of Environmental Science and Engineering and Key Laboratory of Environmental Biology and Pollution Control (Ministry of Education) Hunan University Changsha 410082 PR China. Electronic address: tanxf@***.

Biochar can achieve multiple benefits including solid waste management, polluted water remediation, carbon sequestration, and emission reduction. However, various environmental factors (such as temperature variations and dry-wet alternation) and microbial activity may lead to the fragmentation, dissolution, and oxidation of biochar. These accelerate the dissolution of biochar-derived dissolved organic matter (DOM) and then influence disinfection byproducts formation potential (DBPFP) throughout the water treatment process. In this paper, biochars from six biomass feedstocks with five aging processes were prepared, and the DBPFP of biochar and its derived DOM were first studied systematically. Different aging processes might increase the DBPFP of biochar by increasing DOM content and changing the fraction distribution of DOM derived from biochar. Especially, the DBPFP of biochar increased apparently with the chemical aging process. Coexisting with the environmental concentration of humic acid, even aged biochar showed the potential to reduce DBPFP and integrated toxic risk value of the mixed system. In this study, the DBPFP of biochar-derived DOM during the disinfection process is confirmed, and the results can give information to the selection of biomass feedstocks of biochar and its service life in the water treatment process.

关键词： Aged biochar Chlorination Disinfection byproducts Dissolved organic matter Integrated toxic risk value

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