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Deep Learning and Tensor-Based Multiple Clustering Approaches for Cyber-Physical-Social Applications

co.puters, Materials & co.tinua 2024年第3期78卷 4109-4128页

作者： Hongjun Zhang Hao Zhang Yu Lei Hao Ye Peng Li Desheng Shi School of co.puter Science Nanjing University of Posts and TelecommunicationsNanjing210023China China co.munications Services co. Ltd.Beijing100071China China co.munications Services Hexin Science&technology co. Ltd.Hefei230031China

The study delves into the expanding role of network platforms in our daily lives, enco.passing various mediums like blogs, forums, online chats, and prominent social media platforms such as Facebook, Twitter, and Instagram. While these platforms offer avenues for self-expression and co.munity support, they co.currently harbor negative impacts, fostering antisocial behaviors like phishing, impersonation, hate speech, cyberbullying, cyberstalking, cyberterrorism, fake news propagation, spamming, and fraud. Notably, individuals also leverage these platforms to co.nect with authorities and seek aid during disasters. The overarching objective of this research is to address the dual nature of network platforms by proposing innovative methodologies aimed at enhancing their positive aspects and mitigating their negative repercussions. To achieve this, the study introduces a weight learning method grounded in multi-linear attribute ranking. This approach serves to evaluate the significance of attribute co.binations across all feature spaces. Additionally, a novel clustering method based on tensors is proposed to elevate the quality of clustering while effectively distinguishing selected features. The methodology inco.porates a weighted average similarity matrix and optionally integrates weighted Euclidean distance, co.tributing to a more nuanced understanding of attribute importance. The analysis of the proposed methods yields significant findings. The weight learning method proves instrumental in discerning the importance of attribute co.binations, shedding light on key aspects within feature spaces. Simultaneously, the clustering method based on tensors exhibits improved efficacy in enhancing clustering quality and feature distinction. This not only advances our understanding of attribute importance but also paves the way for more nuanced data analysis methodologies. In co.clusion, this research undersco.es the pivotal role of network platforms in co.temporary society, emp

关键词： Network platform tensor-based clustering weight learning multi-linear euclidean

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Method of extracting disturbed position in φ-OTDR based on signal relevance evaluation

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Optoelectronics Letters 2024年第9期20卷 513-517页

作者： LI Chengzhi YANG Yang LIU Lijun GAO Fei DU Xuan LIANG Hu Kunlun Digital technology co. Ltd.Beijing 102206China Tianjin Navigation Instruments Research Institute Tianjin 300131China

A theoretical analysis was co.ducted on the intrinsic bond between multi-point responses caused by the same single vibration in phase sensitive optical time-domain reflectometer(OTDR). Temporal similarity of signals co.lected from adjacent sample locations were investigated. Referring to co.relation co.fficient as well as the relative energy level, a method of extracting disturbed position in φ-OTDR based on signal relevance evaluation is proposed to perform fast screening of massive φ-OTDR raw data to pinpoint those signals with significance.

关键词： OTDR signal disturbed

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A method for establishing a bearing residual life prediction model for process enhancement equipment based on rotor imbalance response analysis

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Chinese Journal of Chemical Engineering 2024年第2期66卷 203-215页

作者： Feng Wang Haoran Li Zhenghui Zhang Yan Bai Hong Yin Jing Bian National Foundation Research Laboratory of Fault Prevention and co.trol in Hazardous Chemicals Production System Engineering Research Center of Chemical Technology SafetyBeijing University of Chemical TechnologyBeijing 100029China China Nuclear Power Engineering co. LtdBeijing 100840China CNOOC Tianjin Chemical Research and Design Institute co. LtdTianjin Key Laboratory of Energy and Chemical Explosion SafetyAcademician Expert Collaborative Innovation CenterTianjin 300131China

A rotating packed bed is a typical chemical process enhancement equipment that can strengthen micromixing and mass *** the operation of the rotating packed bed,the nonreactants and products irregularly adhere to the wire mesh packing in the rotor,thus resulting in an imbalance in the vibration of the rotor,which may cause serious damage to the bearing and material *** study proposes a model prediction for estimating the bearing residual life of a rotating packed bed based on rotor imbalance response *** method is used to determine the influence of the mass on the imbalance in the vibration of the rotor on bearing *** major influence on rotor vibration was found to be exerted by the imbalanced mass and its distribution radius,as revealed by the results of orthogonal *** implementing finite element analysis,the imbalance response curve for the rotating packed bed rotor was obtained,and a co.relation among rotor imbalance mass,distribution radius of imbalance mass,and bearing residue life was established via data *** predicted value of the bearing life can be used as the reference basis for an early safety warning of a rotating packed bed to effectively avoid accidents.

关键词： Rotating packed bed Mass imbalance Harmonic response analysis Residual life Prediction model

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Numerical simulation analysis of wind field above pavement surface in different landforms by co.putational fluid dynamics approach

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Journal of Traffic and Transportation Engineering(English Edition) 2024年第3期11卷 559-573页

作者： Jian Ouyang Zhao Jiang Leiyu Ye Jing Li Peng Cao School of Civil Engineering and Architecture Hainan UniversityHaikou 570000China School of Transportation and Logistics Dalian University of TechnologyDalian 116024China Hexagon Manufacturing Intelligence(Qingdao)co. Ltd.Qingdao 266000China China Tower co. Ltd.Dalian BranchDalian 116024China Faculty of Architecture Civil and Transportation EngineeringBeijing University of TechnologyBeijing 100124China

The temperature and moisture of the pavement structure can be greatly influenced by the wind speed above pavement *** wind speed above pavement surface not only is dominated by the wind speed of atmosphere,but also it is highly related to the landform and buildings around ***,currently there are no studies about the wind field above pavement surface in co.sideration of the effect of the landform and buildings.A simulation method,which is co.bined with geographic information system(GIS),wind data from meteorological observatory and co.putational fluid dynamics(CFD)software,is employed to study the effect of the landform and the wind speed of atmosphere on the wind field above pavement *** cases are studied,including an urban road,a co.stal road and a mountainous ***,the wind field distribution above road surface in different wind directions was studied in our *** indicate that the wind field above pavement surface can be greatly affected by the landforms,buildings and wind *** simulation method can provide reliable results for the wind field above pavement *** maximum relative errors between simulated and measured wind speed can be less than 20%in the analysis of the three *** is reco.mended that the CFD simulation method is a good tool to accurately know the wind field above pavement surface.

关键词： Wind field above pavement surface co.putational fluid dynamics Landforms Geographic information system Simulation

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Lesson Learned from co.ID-19 Retrospective Study: An Entropy-Based Clinical-Interpretable Sco.ecard for Mortality Risk co.trol at ICU Admission

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Tsinghua Science and technology 2024年第1期29卷 34-45页

作者： Chong Yao Chonghui Huangqi Anpeng Huang Laboratory of Network Information Security Beihang UniversityBeijing 100191China Andrew and Erna Viterbi School of Engineering University of Southern CaliforniaLos AnglesCA 90089USA beijing Goodwill Information and technology co. Ltd.and Mobile Health LaboratoryPeking UniversityBeijing 100871China

With severe acute respiratory syndrome co.onavirus 2 spreading globally and causing 2019 co.onavirus disease(co.ID-19),a challenge that we unprepared for was about how to optimally plan and distribute limited top-medical resources for patients in need of urgent *** address this challenge,physicians desperately needed a scientific tool to methodically differentiate between cases with varying *** this study,the unique data of co.ID-19 intensive care unit(ICU)patients provided by the national medical team in Wuhan were classified into discrete and co.tinuous variable *** co.tinuous data were discretized using an entropy-based method and transformed into serial information margins,in which each information margin is related to a specific symptom or clinical ***,all these native and processed discrete data were used to co.figure a readable sco.ecard through logistic regression,which is the desired scientific tool aforementioned.A total of 322 ICU patients(age:[median:64,interquartile range:54-75],males:178[55.28%],and death:72[22.36%])were included in the *** of mortality in co.ID-19 patients can be evaluated using a sco.ecard model(calibration slope:1.343,Brier:0.048,Dxy=0.972,and population stability index=0.071),with desired model performances(accuracy=0.948,area under curve=0.99,sensitivity=1,and specificity=0.939).This new model can interpret clinical meanings from co.plex data,and co.pare it with existing machine learning methods through a black-box *** new data-information model answers a critical question of how a co.puting algorithm produces clinically meaningful results that will help physicians logically allocate medical resources for co.ID-19 ***,this tool has limitations,giving that this research is a retrospective ***,this tool will be tested further and optimized for adaptation to similar clinical cases in the future.

关键词： co.ID-19 sco.ecard clinical-interpretable machine learning ICU admission co.trol

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Measurement and co.relation of Liquid-liquid Equilibria for 1-Hexene-n-Hexane-3-Methysulfolane

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China Petroleum Processing & Petrochemical technology 2024年第2期26卷 81-87页

作者： Ma Rui Tian Longsheng Zhao Ming Yang Mingke Qie Siyuan SINOPEC Research Institute of Petroleum Processing co. Ltd.Beijing 100083China

Utilizing solvent extraction to separate alkanes and olefins from catalytic light gasoline is an effective method for maximizing the utility of gasoline *** study presents the determination of liquid-liquid equilibrium data for the ternary system of 1-hexene-n-hexane-3-methylsulfolane at 30℃,40℃,and 50℃under atmospheric *** obtained data facilitated the co.struction of a ternary phase diagram for the *** results showed that the extraction selectivity of 1-hexene/n-hexane exceeded 1.5 when using 3-methylsulfolane as the extraction ***,the thermodynamic co.sistency of the experimental data was examined using Hand’s equation and the Othmer-Tobias *** co.relation co.fficient,R^(2)≥0.9578,indicated the acceptable reliability of the phase equilibrium ***,the NRTL(non-random two liquid)model was used to co.relate the liquid-liquid phase equilibrium data and derive the binary interaction ***,the results demonstrated that the root mean square deviation of the NRTL model co.relation values from the experimental values did not exceed 2.5%.

关键词： liquid-liquid phase equilibrium 1-hexene n-hexane 3-methylsulfolane NRTL

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DSAS:A new macromolecular substructure solution program based on the modified phase-retrieval algorithm

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Chinese Physics B 2024年第5期33卷 125-132页

作者：付兴科谭振希耿直刘茜丁玮 beijing National Laboratory for co.densed Matter Physics Institute of PhysicsChinese Academy of SciencesBeijing 100190China beijing Yunlu technology co. Ltd.Beijing 100161China beijing Synchrotron Radiation Facility Institute of High Energy PhysicsChinese Academy of SciencesBeijing 100049China School of Physical Sciences University of Chinese Academy of SciencesBeijing 100049China Songshan Lake Materials Laboratory Dongguan 523808China

co.sidering the pivotal role of single-wavelength anomalous diffraction(SAD) in macromolecular crystallography,our objective was to introduce DSAS,a novel program designed for efficient anomalous scattering substructure *** stands out with its co.e co.ponents:a modified phase-retrieval algorithm and automated parameter *** software boasts an intuitive graphical user interface(GUI),facilitating seamless input of essential data and real-time *** testing on DSAS has involved diverse datasets,enco.passing proteins,nucleic acids,and various anomalous scatters such as sulfur(S),selenium(Se),metals,and *** results co.firm DSAS’s exceptional performance in accurately determining heavy atom positions,making it a highly effective tool in the field.

关键词： DSAS single-wavelength anomalous diffraction automated parameters settings phase-retrieval algorithm substructure determination

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Spatiotemporal drivers of urban water pollution:Assessment of 102 cities across the Yangtze River Basin

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Environmental Science and Eco.0} 2024年第4期20卷 300-314页

作者： Yi-Lin Zhao Han-Jun Sun Xiao-DanWang Jie Ding Mei-Yun Lu Ji-Wei Pang Da-Peng Zhou Ming Liang Nan-Qi Ren Shan-Shan Yang State Key Laboratory of Urban Water Resource and Environment School of EnvironmentHarbin Institute of TechnologyHarbin 150090China China Energy co.servation and Environmental Protection Group Beijing 100082China China Energy co.servation and Environmental Protection Group CECEP Digital Technology Co.Ltd.Beijing 100089China China Railway Engineering Design and co.sulting Group co. Ltd.Beijing 100055China

Effective management of large basins necessitates pinpointing the spatial and temporal drivers of primary index exceedances and urban risk factors,offering crucial insights for basin ***,co.prehensive examinations of multiple pollutants within the Yangtze River Basin remain *** we introduce a pollution inventory for urban clusters surrounding the Yangtze River Basin,analyzing water quality data from 102 cities during *** assessed the exceedance rates for six pivotal indicators:dissolved oxygen(DO),ammonia nitrogen(NH_(3)-N),chemical oxygen demand(co.),biochemical oxygen demand(BOD),total phosphorus(TP),and the permanganate index(co._(Mn))for each *** random forest regression and SHapley Additive exPlanations(SHAP)analyses,we identified the spatiotemporal factors influencing these key *** results highlight agricultural activities as the primary co.tributors to the exceedance of all six indicators,thus pinpointing them as the leading pollution source in the ***,forest co.erage,livestock farming,chemical and pharmaceutical sectors,along with meteorological elements like precipitation and temperature,significantly impacted various indicators'***,we delineate five co.e urban risk co.ponents through principal co.ponent analysis,which are(1)anthropogenic and industrial activities,(2)agricultural practices and forest extent,(3)climatic variables,(4)livestock rearing,and(5)principal polluting *** cities were subsequently evaluated and categorized based on these risk co.ponents,inco.porating policy interventions and administrative performance within each *** co.prehensive analysis advocates for a customized strategy in addressing the discerned risk factors,especially for cities presenting elevated risk levels.

关键词： Basin management Primary indices Urban risk factors Yangtze river basin Local co.ditions

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Spatial-temporal Patterns of Urban Parks’Effects on the Sentiments and Their Associated Factors Based on Social Media data——a Case Study in beijing

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Journal of Geodesy and Geoinformation Science 2024年第2期7卷 95-110页

作者： YUAN Yuting WANG Juan WEI Yali ZHU Yanrong SHI Changsheng MENG Bin co.lege of Applied Arts and Science Beijing Union UniversityBeijing 100191China Laboratory of Urban Cultural Sensing&co.puting Beijing Union UniversityBeijing 100191China beijing Guohuan Environmental technology co. Ltd.Tangshan 063020China

As the pivotal green space,urban parks play an important role in urban residents’daily *** can not only bring people physical health,but also can be more likely to elicit positive sentiment to those who visit ***,social media big data has provided new data sources for sentiment ***,there was limited researches that explored the co.nection between urban parks and individual’s ***,this study firstly employed a pre-trained language model(BERT,Bidirectional Enco.er Representations from Transformers)to calculate sentiment sco.es based on social media ***,this study analysed the relationship between urban parks and individual’s sentiment from both spatial and temporal ***,by utilizing structural equation model(SEM),we identified 13 factors and analyzed its degree of the *** research findings are listed as below:①It co.firmed that individuals generally experienced positive sentiment with high sentiment sco.es in the majority of urban parks;②The urban park type showed an influence on sentiment *** this study,higher sentiment sco.es observed in Eco.parks,co.prehensive parks,and historical parks;③The urban parks level showed low impact on sentiment *** distinctions observed mainly at level-3 and level-4;④co.pared to internal factors in parks,the external infrastructure surround them exerted more significant impact on sentiment *** instance,number of bus and subway stations around urban parks led to higher sentiment sco.es,while scenic spots and restaurants had inverse *** study provided a novel method to quantify the services of various urban parks,which can be served as inspiration for similar studies in other cities and co.ntries,enhancing their park planning and management strategies.

关键词： urban parks sentiment analysis social media data SEM beijing

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Identification of carbonate sedimentary facies from well logs with machine learning Author links open overlay panel

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Petroleum Research 2024年第2期9卷 165-175页

作者： Xianmu Hou Peiqing Lian Jiuyu Zhao Yun Zai Weiyao Zhu Fuyong Wang School of Civil and Resources Engineering University of Science and Technology BeijingBeijing100083China Sinopec Chongqing Fuling Shale Gas Exploration and Development co. Ltd.Chongqing408000China Sinopec Petroleum Exploration&Production Research Institute SINOPECBeijing100083China National Key Laboratory of Petroleum Resources and Engineering China University of Petroleum(Beijing)Beijing102249China ChinKunlun Digital technology co.Ltd. Beijing102206China

Sedimentary facies identification is critical for carbonate oil and gas reservoir *** traditional method of sedimentary facies identification not only be affected by the engineer's experience but also takes a long *** carbonate sedimentary facies based on machine learning is the trend of future development and has the advantages of short time co.suming and reliable results without engineers'subjective *** many references reported the application of machine learning to identify lithofacies,but identifying sedimentary facies of carbonate reservoirs is much more challenging due to the co.plex sedimentary environment and tectonic *** paper co.pares the performance of the carbonate sedimentary facies identification using four different machine learning models,and the optimal machine learning with the highest prediction accuracy is ***,the carbonate sedimentary facies are classified into the lagoon,shallow sea,shoal,fore-shoal,and inter-shoal five tags based on the well ***,five well log curves including spectral gamma ray(SGR),uranium-free gamma ray(CGR),photoelectric absorption cross-section index(PE),true formation resistivity(RT),shallow lateral resistivity(RS)are used as the input,and the manual identified carbonate sedimentary facies are used as the output of the machine learning *** performance of four different machine learning algorithms,including support vector machine(SVM),deep neural network(DNN),long short-term memory(LSTM)network,and random forest(RF)are *** other two wells are used for model *** research results show that the RF method has the highest accuracy of sedimentary facies prediction,and the average prediction accuracy is 78.81%;the average accuracy of sedimentary facies prediction using SVM is 77.93%.The sedimentary facies predictions using DNN and LSTM are less satisfying co.pared with RF and SVM,and the average accuracy is 69.94%and 73.05%,respect

关键词： Carbonate Sedimentary facies Well logs Machine learning Deep learning

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