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Data delivery delay and cross-layer packet size analysis for reliable transmission of Licklider transmission protocol in space networks

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Science China(information Sciences) 2024年第9期67卷 229-244页

作者： Guannan YANG Ruhai WANG Kanglian ZHAO Wenfeng LI Dong YAN school of information engineering Nanjing University of Finance and Economics Drayer Department of Electrical and Computer engineering Lamar University school of Electronic Science and engineering Nanjing University Beijing Aircraft Overall design Department

Delay/disruption tolerant networking(DTN) is proposed as a networking architecture to overcome challenging space communication characteristics for reliable data transmission service in presence of long propagation delays and/or lengthy link disruptions. Bundle protocol(BP) and Licklider Transmission Protocol(LTP) are the main key technologies for DTN. LTP red transmission offers a reliable transmission mechanism for space networks. One of the key metrics used to measure the performance of LTP in space applications is the end-to-end data delivery delay, which is influenced by factors such as the quality of spatial channels and the size of cross-layer packets. In this paper, an end-to-end reliable data delivery delay model of LTP red transmission is proposed using a roulette wheel algorithm, and the roulette wheel algorithm is more in line with the typical random characteristics in space networks. The proposed models are validated through real data transmission experiments on a semi-physical testing platform. Furthermore, the impact of cross-layer packet size on the performance of LTP reliable transmission is analyzed, with a focus on bundle size, block size, and segment size. The analysis and study results presented in this paper offer valuable contributions towards enhancing the reliability of LTP transmission in space communication scenarios.

关键词： Licklider transmission protocol DTN bundle protocol cross-layer packets size space communication

Parking choice behaviour analysis of rural residents based on the latent variable random forest model

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Transportation Safety and Environment 2024年第3期6卷 167-180页

作者： Minqing Zhu Bo Zhao Hongjun Cui Sheng Yao Feng Xu school of Architecture and art design Hebei University of TechnologyTianjin 300130China school of Civil and Transportation engineering Hebei University of TechnologyTianjin 300401China

The imbalance of rural parking supply and demand has a great impact on traffic congestion and environmental pollution,which has attracted the attention of many scholars as well as ***,most of the current research on parking choice focuses on urban business and residential areas rather than on rural parking choice behaviour,and focuses on the analysis of observable factors,ignoring the internal relationship with potential *** study considers the heterogeneity of individuals and uses the random forest(RF)algorithm to construct a model of rural residents’willingness to choose parking with both latent and explicit variables,to explore how much and in what ways individual characteristics and parking characteristics affect rural residents’parking choices,and to explore parking planning programmes and strategies that are truly applicable to rural *** results of the study suggest that the safety and convenience of the parking environment are key factors influencing the parking choice behaviour of rural residents,and can greatly improve the predictive accuracy of the parking willingness *** comparison,it is found that the application of the RF algorithm is also significantly better than the logit model in terms of prediction effect,indicating that there is a nonlinear effect among the factors influencing the parking choice behaviour of rural residents and that the RF model with the addition of latent variables provides a better explanatory ability for the study of the parking choice behaviour of rural residents.

关键词： rural residents parking choice random forest(RF) latent variable SEM-RF model

Data and Model Driven Task Offloading Strategy in the Dynamic Mobile Edge Computing System

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Journal of Systems Science & Complexity 2024年第1期37卷 351-368页

作者： DONG Hairong WU Wei SONG Haifeng LIU Zhen ZHANG Zixuan school of Electronic and information engineering Beijing Jiaotong UniversityBeijing 100044China school of Electronic and information engineering BeiHang UniversityBeijing 100191China CRSC Research&design Institute Group Co. Ltd.Beijing 100070China

Mobile Edge Computing(MEC)provides communication and computational capabilities for the industrial Internet,meeting the demands of latency-sensitive ***,traditional model-driven task offloading strategies face challenges in adapting to situations with unknown network communication status and computational *** limitation becomes notably significant in complex industrial networks of high-speed *** by these considerations,a data and model-driven task offloading problem is proposed in this paper.A redundant communication network is designed to adapt to anomalous channel states when tasks are offloaded to edge *** link switching mechanism is executed by the train according to the attributes of the completed *** task offloading optimization problem is formulated by introducing data-driven prediction of communication states into the traditional ***,the optimal strategy is achieved by employing the informer-based prediction algorithm and the quantum particle swarm optimization method,which effectively tackle real-time optimization problems due to their low time *** simulations illustrate that the data and model-driven task offloading strategy can predict the communication state in advance,thus reducing the cost of the system and improving its robustness.

关键词： Data driven model informer mobile edge computing quantum particle swarm optimization task offloading.

Editorial for Machine learning and AI for underground metaverse

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Underground Space 2024年第6期19卷 1-3页

作者： Kok-Kwang Phoon Qiujing Pan Chong Tang information Systems Technology and design/Architecture and Sustainable design Singapore University of Technology and DesignSingapore 487372 school of Civil engineering Central South UniversityChangsha 410075China State Key Laboratory of Coastal and Offshore engineering Dalian University of TechnologyDalian 116024China

It is widely recognized that civil engineering practice,including underground construction,is lagging the fast pace digital transformation taking place in many *** key reason for this revolution is the emergence and convergence of digital technologies that include machine learning,artificial intelligence(AI),blockchain,cloud/edge computing,Internet of Things,5G communication,automation,digital twin,and *** parallel,Industry 4.0 is now complemented by Industry 5.0 that advocates a shift from economic value to societal value(sustainability,well-being,etc.).This means a shift from enterprises benefiting shareholders(profits)to stakeholders(people).

关键词： learning artificial underground

Protein acetylation sites with complex-valued polynomial model

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Frontiers of Computer Science 2024年第3期18卷 217-226页

作者： Wenzheng BAO Bin YANG school of information engineering Xuzhou University of TechnologyXuzhou 221018China school of information Science and engineering Zaozhuang UniversityZaozhuang 277160China

Protein acetylation refers to a process of adding acetyl groups(CH3CO-)to lysine residues on protein *** one of the most commonly used protein post-translational modifications,lysine acetylation plays an important role in different *** our study,we developed a humanspecific method which uses a cascade classifier of complexvalued polynomial model(CVPM),combined with sequence and structural feature descriptors to solve the problem of imbalance between positive and negative *** gene expression programming and differential evolution are utilized to search the optimal CVPM *** also made a systematic and comprehensive analysis of the acetylation data and the prediction *** performances of our proposed method are 79.15%in Sp,78.17%in Sn,78.66%in ACC 78.76%in F1,and 0.5733 in MCC,which performs better than other state-of-the-art methods.

关键词： protein acetylation complex-valued polynomial model machine learning

Survey and Prospect for Applying Knowledge Graph in Enterprise Risk Management

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Computers, Materials & Continua 2024年第3期78卷 3825-3865页

作者： Pengjun Li Qixin Zhao Yingmin Liu Chao Zhong Jinlong Wang Zhihan Lyu school of information and Control engineering Qingdao University of TechnologyQingdao266520China Department of Game design Uppsala UniversityVisby62167Sweden

Enterprise risk management holds significant importance in fostering sustainable growth of businesses and in serving as a critical element for regulatory bodies to uphold market *** the challenges posed by intricate and unpredictable risk factors,knowledge graph technology is effectively driving risk management,leveraging its ability to associate and infer knowledge from diverse *** review aims to comprehensively summarize the construction techniques of enterprise risk knowledge graphs and their prominent applications across various business ***,employing bibliometric methods,the aim is to uncover the developmental trends and current research hotspots within the domain of enterprise risk knowledge *** the succeeding section,systematically delineate the technical methods for knowledge extraction and fusion in the standardized construction process of enterprise risk knowledge *** comparing and summarizing the strengths and weaknesses of each method,we provide recommendations for addressing the existing challenges in the construction ***,categorizing the applied research of enterprise risk knowledge graphs based on research hotspots and risk category standards,and furnishing a detailed exposition on the applicability of technical routes and ***,the future research directions that still need to be explored in enterprise risk knowledge graphs were discussed,and relevant improvement suggestions were *** and researchers can gain insights into the construction of technical theories and practical guidance of enterprise risk knowledge graphs based on this foundation.

关键词： Knowledge graph enterprise risk risk identification risk management review

Technical review of electric vehicle charging distribution models with considering driver behaviors impacts

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Journal of Traffic and Transportation engineering(English Edition) 2024年第4期11卷 643-666页

作者： Wei Lin Heng Wei Lan Yang Xiangmo Zhao art-EngineS Transportation Research Laboratory Department of Civil and Architectural Engineering and Construction ManagementUniversity of CincinnatiCincinnatiOH 45221USA school of information engineering Chang'an UniversityXi'an 710064China

Amassive market penetration of electric vehicles(EVs)associated with nonnegligible energy consumption and environmental issues has imposed a big challenge on evaluating electrical power distribution and related transportation facilities improvement in response to the largescale EV charging service *** deployment of EV charging stations including location and determination ofnumber of slowcharging stations and fast charging stationshas become an emerging concern and one of the most pressing needs in *** paper conducts a comprehensive survey of EV charging demand and distribution models with consideration of realistic driver behaviors *** is currently a shortage in academic literature,but indeed has drawn practical attention in the strategic planning *** address the need,this paper presents an in-depth literature review of relevant studies that have identified different types of EV charging facilities,needs or concerns that are considered into EV charging demand and distribution modeling,alongside critical impacting factor identification,mathematical relationshipsof the contributing factorsandEVchargingdemand and distribution *** findings from the current literature are summarized with strategies for optimized plan of charging station deployments(i.e.,location and related number of charging station),in an attempt to provide a valuable reference for interested readers.

关键词： Charging demand estimation Strategic charging station deployment Electric vehicle Driver behavior

A Novel Methodology for Measuring Individual-level Travel Regularity: A Joint Time-space-frequency Perspective

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Journal of Traffic and Transportation engineering(English Edition) 2024年

作者： Xinwei Ma Xiaolin Tian Hongjun Cui Minqing Zhu Xia Li school of Civil and Transportation engineering， Hebei University of Technology school of Architecture and art design， Hebei University of Technology

Individual travel behaviors demonstrate a degree of regularity， particularly concerning time， space， and frequency repetition. Measuring the regularity of individual travel behavior contributes to understanding variations among individuals and provides opportunities for personalized transportation services. However， previous measurement methods have not comprehensively addressed these three aspects simultaneously or sufficiently captured the repetition of "basic travel behaviors"， while also relying on diverse data types without a comprehensive methodology covering multiple datasets. To address these research gaps， this paper presents an innovative method for measuring the regularity of individual users， which considers the repetition of basic travel behaviors along with temporal， spatial， and frequency dimensions. Applying this method to historical trip data from bike-sharing and subway systems has illustrated the effectiveness and applicability of the approach proposed in this paper. The findings suggest the broad applicability of this method across various data types， provided that the data allows for the extraction of information regarding users' travel origins and destinations. Moreover， this method effectively produces a regularity value to assess and compare the overall regularity of users， surpassing previous limitations that solely relied on using frequency as an initial filter or distinguishing users as regular or irregular based solely on frequency thresholds.

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Development of MoS_(2)-stainless steel catalyst by 3D printing for efficient destruction of organics via peroxymonosulfate activation

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Journal of Environmental Sciences 2024年第1期135卷 108-117页

作者： Yufeng Liu Jianhui Xu Xin Fu Pengxu Wang Dan Li Yunfei Zhang Shenggui Chen Chunhui Zhang Peng Liu school of Environment and Civil engineering Dongguan University of TechnologyDongguan 523808China school of art and design Guangzhou Panyu PolytechnicGuangzhou 511483China Dongguan Institute of Science and Technology Innovation Dongguan University of TechnologyDongguan 523808China school of Mechanical engineering Dongguan University of TechnologyDongguan 523808China

Herein,a novel MoS_(2)-stainless steel composite material was first synthetized via a 3D printing method(3DP MoS_(2)-SS)for peroxymonosulfate(PMS)activation and organics *** with MoS_(2)-SS powder/PMS system(0.37 g/(m^(2)/min)),4.3-fold higher k_(FLO)/S_(BET)value was obtained in 3DP MoS_(2)-SS/PMS system(1.60 g/(m^(2)/min),resulting from the superior utilization of active *** observed that 3DP MoS_(2)-SS significantly outperformed the 3DP SS due to the enhanced electron transfer rate and increased active ***,Mo^(4+)facilitated the Fe^(2+)/Fe^(3+)cycle,resulting in the rapid degradation of florfenicol(FLO).Quenching experiments and electron paramagnetic resonance spectra indicated that·OH,SO_(4)·^(-),O_(2)·^(-)and^(1)O_(2)were involved in the degradation of *** effect of influencing factors on the degradation of FLO were evaluated,and the optimized degradation efficiency of 98.69%was achieved at 1 mM PMS and pH of *** degradation products were detected by UPLC/MS analyses and several possible degradation pathways were proposed to be the cleavage of C-N bonds,dechlorination,hydrolysis,defluorination and *** addition,3DP MoS_(2)-SS/PMS system also demonstrated superior degradation performance for 2-chlorophenol,acetaminophen,ibuprofen and *** study provided deep insights into the MoS_(2)-SS catalyst prepared by 3DP technology for PMS activation and FLO-polluted water treatment.

关键词： 3D printing Stainless steel MoS_(2) Peroxymonosulfate activation Degradation mechanism