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Boundary conditions for setting thorax impactor subsystem tests to assess vehicle safety performance on protection of vulnerable road users 认领 引用
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作者 Guibing Li Wenbo Gao +2 位作者 Xiaojiang Lv Zhi Xiao Fuhao Mo 《Chinese Journal of Mechanical Engineering》 SCIE EI CAS CSCD 2026年第2期277-286,共10页
Chinese automobile safety regulations are considering the introduction of thorax impactor subsystem tests to evaluate vehicle safety performance concerning thorax protection for Vulnerable Road Users(VRUs).However,the... Chinese automobile safety regulations are considering the introduction of thorax impactor subsystem tests to evaluate vehicle safety performance concerning thorax protection for Vulnerable Road Users(VRUs).However,there is currently an insufficient amount of data regarding VRU thorax-vehicle contact boundary conditions,which is essential for establishing the thorax impactor test procedure.Consequently,the obj ective of this study is to examine the characteristics of VRU thorax-vehicle contact boundary conditions,utilizing multi-body crash simulations that are informed by the distribution of accident scenarios.The simulation data suggest that the boundary conditions for thorax-vehicle contact in VRUs are predominantly influenced by the relative height of the VRU's pelvis in relation to the vehicle's bonnet leading edge,which in turn affects upper body kinematics.This results in variations across different vehicle and VRU types involved in collisions.The analysis of these contact boundary conditions indicates that thorax impactor subsystem test procedures should differentiate between vehicle types.The results suggest that:thorax impactor subsystem tests should concentrate on the Wrap Around Distance(WAD) range of 900-1800 mm;for testing at the bonnet-windscreen area,the thorax impactor could be launched at speeds of 16.5 km/h(with a vector angle of 24° and an initial inclination angle of 17°) for sedans,and 23.5 km/h(with a vector angle of 25° and an initial inclination angle of 22°) for SUVs/MPVs.Additionally,a horizontally directional velocity of 35.5 km/h(with an initial inclination angle of 30°) could be specified for thorax impactor tests at the bonnet leading edge area of SUVs/MPVs.The above data provides foundational data for future thorax impactor subsystem tests in China. 展开更多
关键词 Vulnerable road users Thorax-vehicle contact Boundary conditions Impactor subsystem test
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Electric vehicles vs.internal combustion engine vehicles:a comparative study of crashes involving vulnerable road users 认领 引用
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作者 Jiahe Ling Xiaodong Qian Konstantina Gkritza 《International Journal of Transportation Science and Technology》 EI CSCD 2026年第2期126-140,共15页
Powered by electric engines,electric vehicles(EVs)exhibit unique dynamic characteristics that may lead to different crash characteristics and outcomes compared with traditional internal combustion engine vehicles(ICEV... Powered by electric engines,electric vehicles(EVs)exhibit unique dynamic characteristics that may lead to different crash characteristics and outcomes compared with traditional internal combustion engine vehicles(ICEVs).This might be particularly true for vulnerable road users(VRUs),such as pedestrians and cyclists.Motivated by these concerns,this paper delves into the comparative analysis of crashes involving EVs and VRUs,exploring how crash characteristics and injury severities differ from those involving VRUs and ICEVs.Employing statistical testing and binary probit regression analyses,this study analyzes crash data from Chicago spanning from 2015 to 2022.Spatial and temporal constraints were applied to filter ICEV crashes,ensuring similar environmental conditions and VRU exposure for the considered crashes.Innovatively,this study supplements traditional police crash reports with Google street view(GSV)images and employs neural network models to uncover previously unreported environmental variables at crash scenes.The results reveal both similarities and disparities in the characteristics of crash involved VRUs between EVs and ICEVs.However,significant differences in factors,such as VRU type(pedestrians or cyclists),hit-and-run incidents,damage level,crash hour,crash weekday,weather conditions,and road surface conditions,along with the influence of season and road surface condition on injury severity,were observed between EVs and ICEVs.These distinctions may be attributed to driver demographics,vehicle design,and spatial and temporal usage patterns.These insights can guide the development of safety regulations for EVs and aid in devising specific safety measures and policies for VRUs,including pedestrians and cyclists. 展开更多
关键词 Vulnerable road user(VRU) Electric vehicle(EV) Google street view(GSV) Binary probit regression Crash severity
Stackelberg game-based interactive operation strategy for energyintensive industrial users 认领 引用
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作者 Jianpei Han Xuehao He +1 位作者 Ershun Du Yihan Guo 《iEnergy》 EI 2025年第4期278-289,共12页
With increasing awareness of environmental protection and rising carbon emission costs,participation in electricity and carbon markets for energy-intensive industrial users will become an effective way to reduce opera... With increasing awareness of environmental protection and rising carbon emission costs,participation in electricity and carbon markets for energy-intensive industrial users will become an effective way to reduce operating costs and carbon emissions.In this regard,a novel Stackelberg game framework is developed in this study for coordinated participation in coupled electricity‒carbon markets.Specifically,generalized carbon emission models and electricity consumption models for different energy-intensive industrial users are established,and a Stackelberg game-based interactive operation strategy is proposed for load aggregators(LAs)and energy-intensive industrial users in joint electricity‒carbon markets,where the LA works as a leader who chooses proper interactive prices to maximize the comprehensive benefit,whereas energy-intensive industrial users serve as followers who minimize the total energy costs in response to the interactive prices set by the LA.Then,the existence and uniqueness of the Stackelberg equilibrium(SE)are analyzed,and a decentralized solution algorithm is suggested to reach the SE.Finally,the simulation results demonstrate that the proposed interactive operation strategy can not only increase the profit of the LA but also reduce the cost of energy-intensive industrial users,which achieves a win-win result. 展开更多
关键词 Interactive operation strategy joint electricity‒carbon markets load aggregator energy-intensive industrial users Stackelberg game
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A Graphical User Authentication with Compass Direction and Rotation-Based Dual-Derivation 认领 引用
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作者 Chin Soon Ku Hui Yi Lim +5 位作者 Ana Nabilah Binti Sa’uadi Siew Cheng Lai Jit Theam Lim Pei Xuan Ku Zeng-Wei Hong Lip Yee Por 《Computers, Materials & Continua》 SCIE EI 2026年第9期1280-1296,共17页
In the expanding Internet of Things(IoT)ecosystem,billions of interconnected devices exchange sensitive data,making secure and usable authentication critical.IoT devices in public or shared environments are vulnerable... In the expanding Internet of Things(IoT)ecosystem,billions of interconnected devices exchange sensitive data,making secure and usable authentication critical.IoT devices in public or shared environments are vulnerable to shoulder-surfing and video recorded observation attacks.Traditional passwords and static graphical schemes remain susceptible due to predictable patterns and direct credential entry.This study presents a novel recognition-based graphical authentication scheme that combines pass-image selection with compass direction substitution and rotation logic to resist observation-based attacks.A prototype was evaluated with 58 participants over three days.Usability metrics included registration time,login time,success rate,and error rate.Memorability and resistance to shoulder-surfing were also assessed.Results showed that login times decreased from 43.62 to 37.78 s,while success rates increased from 40%to 53%,indicating rapid adaptation.Memorability scores improved from 2.05 to 2.19 on a 3-point scale,with perfect recall for five-image passwords by Day 3.Shoulder-surfing tests recorded a 0%attacker success rate.The preliminary results suggest that the scheme offers a useful balance of usability,memorability,and resistance to single session observation attacks.Future work will explore adaptive complexity and accessibility features to further enhance secure authentication. 展开更多
关键词 Graphical user authentication compass direction rotation pattern dual-derivation shoulder-surfing attack video recording attack
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Efficient user scheduling in mm Wave networks:leveraging knowledge transfer with channel knowledge map 认领 引用
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作者 Chunlong He Peihong He Xingquan Li 《Digital Communications and Networks》 SCIE EI CSCD 2026年第2期319-331,共13页
This paper proposes a Deep Reinforcement Learning(DRL)algorithm for user scheduling in Millimeter Wave(mmWave)networks,which utilizes Channel Knowledge Map(CKM)for knowledge transfer to enhance the learning of schedul... This paper proposes a Deep Reinforcement Learning(DRL)algorithm for user scheduling in Millimeter Wave(mmWave)networks,which utilizes Channel Knowledge Map(CKM)for knowledge transfer to enhance the learning of scheduling strategies.The user scheduling and link configuration problems are modeled as a multiqueue system.Each queue represents the data demand of an individual user.This setup allows the base station to make dynamic scheduling decisions based on changing environmental conditions.This approach facilitates efficient management of user-specific requirements while addressing the challenges posed by dynamic network environments.Our model incorporates relay selection,codebook selection,and beam tracking to support flexible and efficient resource allocation.In contrast to traditional channel model-based optimization,we design algorithms for scheduling policy pre-training using CKMs,which provide information about the channel between specific pairs of locations.Specifically,we assume that the CKM is fully available to allow the complex scheduling network to have a better starting point or follow a more favorable gradient direction through knowledge migration.This integration of CKM with knowledge transfer significantly accelerates DRL convergence and enhances performance stability.Simulation results confirmed the effectiveness of the proposed approach.Relative to the baseline methods,integrating CKM with knowledge transfer accelerated the convergence of the DRL algorithm by approximately 20%,maintained the delay within 30 milliseconds,and reduced the average queue length by nearly 30%. 展开更多
关键词 Millimeter wave User scheduling Knowledge transfer Channel knowledge map Deep reinforcement learning
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Artificial Intelligence (AI)-Enabled Unmanned Aerial Vehicle (UAV) Systems for Optimizing User Connectivity in Sixth-Generation (6G) Ubiquitous Networks 认领 引用 被引量：1
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作者 Zeeshan Ali Haider Inam Ullah +2 位作者 Ahmad Abu Shareha Rashid Nasimov Sufyan Ali Memon 《Computers, Materials & Continua》 SCIE EI 2026年第1期534-549,共16页
The advent of sixth-generation(6G)networks introduces unprecedented challenges in achieving seamless connectivity,ultra-low latency,and efficient resource management in highly dynamic environments.Although fifth-gener... The advent of sixth-generation(6G)networks introduces unprecedented challenges in achieving seamless connectivity,ultra-low latency,and efficient resource management in highly dynamic environments.Although fifth-generation(5G)networks transformed mobile broadband and machine-type communications at massive scales,their properties of scaling,interference management,and latency remain a limitation in dense high mobility settings.To overcome these limitations,artificial intelligence(AI)and unmanned aerial vehicles(UAVs)have emerged as potential solutions to develop versatile,dynamic,and energy-efficient communication systems.The study proposes an AI-based UAV architecture that utilizes cooperative reinforcement learning(CoRL)to manage an autonomous network.The UAVs collaborate by sharing local observations and real-time state exchanges to optimize user connectivity,movement directions,allocate power,and resource distribution.Unlike conventional centralized or autonomous methods,CoRL involves joint state sharing and conflict-sensitive reward shaping,which ensures fair coverage,less interference,and enhanced adaptability in a dynamic urban environment.Simulations conducted in smart city scenarios with 10 UAVs and 50 ground users demonstrate that the proposed CoRL-based UAV system increases user coverage by up to 10%,achieves convergence 40%faster,and reduces latency and energy consumption by 30%compared with centralized and decentralized baselines.Furthermore,the distributed nature of the algorithm ensures scalability and flexibility,making it well-suited for future large-scale 6G deployments.The results highlighted that AI-enabled UAV systems enhance connectivity,support ultra-reliable low-latency communications(URLLC),and improve 6G network efficiency.Future work will extend the framework with adaptive modulation,beamforming-aware positioning,and real-world testbed deployment. 展开更多
关键词 6G networks UAV-based communication cooperative reinforcement learning network optimization user connectivity energy efficiency
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The Identification of Influential Users Based on Semi-Supervised Contrastive Learning 认领 引用
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作者 Jialong Zhang Meijuan Yin +2 位作者 Yang Pei Fenlin Liu Chenyu Wang 《Computers, Materials & Continua》 SCIE EI 2025年第10期2095-2115,共21页
Identifying influential users in social networks is of great significance in areas such as public opinion monitoring and commercial promotion.Existing identification methods based on Graph Neural Networks(GNNs)often l... Identifying influential users in social networks is of great significance in areas such as public opinion monitoring and commercial promotion.Existing identification methods based on Graph Neural Networks(GNNs)often lead to yield inaccurate features of influential users due to neighborhood aggregation,and require a large substantial amount of labeled data for training,making them difficult and challenging to apply in practice.To address this issue,we propose a semi-supervised contrastive learning method for identifying influential users.First,the proposed method constructs positive and negative samples for contrastive learning based on multiple node centrality metrics related to influence;then,contrastive learning is employed to guide the encoder to generate various influence-related features for users;finally,with only a small amount of labeled data,an attention-based user classifier is trained to accurately identify influential users.Experiments conducted on three public social network datasets demonstrate that the proposed method,using only 20%of the labeled data as the training set,achieves F1 values that are 5.9%,5.8%,and 8.7%higher than those unsupervised EVC method,and it matches the performance of GNN-based methods such as DeepInf,InfGCN and OlapGN,which require 80%of labeled data as the training set. 展开更多
关键词 Data mining social network analysis influential user identification graph neural network contrastive learning
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Using Outlier Detection to Identify Grey-Sheep Users in Recommender Systems: AComparative Study 认领 引用
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作者 Yong Zheng 《Computers, Materials & Continua》 SCIE EI 2025年第6期4315-4328,共14页
A recommender system is a tool designed to suggest relevant items to users based on their preferences and behaviors.Collaborative filtering,a popular technique within recommender systems,predicts user interests by ana... A recommender system is a tool designed to suggest relevant items to users based on their preferences and behaviors.Collaborative filtering,a popular technique within recommender systems,predicts user interests by analyzing patterns in interactions and similarities between users,leveraging past behavior data to make personalized recommendations.Despite its popularity,collaborative filtering faces notable challenges,and one of them is the issue of grey-sheep users who have unusual tastes in the system.Surprisingly,existing research has not extensively explored outlier detection techniques to address the grey-sheep problem.To fill this research gap,this study conducts a comprehensive comparison of 12 outlier detectionmethods(such as LOF,ABOD,HBOS,etc.)and introduces innovative user representations aimed at improving the identification of outliers within recommender systems.More specifically,we proposed and examined three types of user representations:1)the distribution statistics of user-user similarities,where similarities were calculated based on users’rating vectors;2)the distribution statistics of user-user similarities,but with similarities derived from users represented by latent factors;and 3)latent-factor vector representations.Our experiments on the Movie Lens and Yahoo!Movie datasets demonstrate that user representations based on latent-factor vectors consistently facilitate the identification of more grey-sheep users when applying outlier detection methods. 展开更多
关键词 Recommender system collaborative filtering grey-sheep users outlier detection
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Joint user association and cooperative beamforming for multi-IRSs aided mmWave communication systems 认领 引用
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作者 Qing Xue Jiajun Mu +2 位作者 Fengsheng Wei Meng Hua Qianbin Chen 《Digital Communications and Networks》 SCIE EI CSCD 2026年第2期252-261,共10页
This paper investigates a downlink millimeter-Wave(mmWave)communication system equipped with multiple cooperative Intelligent Reflecting Surfaces(IRSs),aiming to extend mmWave signal coverage and maximize system throu... This paper investigates a downlink millimeter-Wave(mmWave)communication system equipped with multiple cooperative Intelligent Reflecting Surfaces(IRSs),aiming to extend mmWave signal coverage and maximize system throughput.To fully exploit the potential of IRSs within a user-centric framework,this study delves into the joint optimization problem of user multiple association,transmit beamforming,and cooperative passive beamforming.Meanwhile,the impact of IRS locations on user association is analyzed.Given the non-convexity and complexity of the joint optimization problem,a low-complexity optimization algorithm is designed.The algorithm integrates iterative optimization,Lagrangian dual decomposition,and Fractional Programming(FP)techniques.Specifically,the user association problem is optimized using the Lagrangian dual decomposition method,while the joint beamforming is solved via the FP method.Simulation results demonstrate that,compared to traditional methods,the proposed algorithm significantly improves the system sum rate,validating its effectiveness and superiority. 展开更多
关键词 Intelligent re-ecting surface Millimeter wave communication User association Beamforming
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Heterogeneous User Authentication and Key Establishment Protocol for Client-Server Environment 认领 引用
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作者 Huihui Zhu Fei Tang +1 位作者 Chunhua Jin Ping Wang 《Computers, Materials & Continua》 SCIE EI 2026年第4期648-666,共19页
The ubiquitous adoption of mobile devices as essential platforms for sensitive data transmission has heightened the demand for secure client-server communication.Although various authentication and key agreement proto... The ubiquitous adoption of mobile devices as essential platforms for sensitive data transmission has heightened the demand for secure client-server communication.Although various authentication and key agreement protocols have been developed,current approaches are constrained by homogeneous cryptosystem frameworks,namely public key infrastructure(PKI),identity-based cryptography(IBC),or certificateless cryptography(CLC),each presenting limitations in client-server architectures.Specifically,PKI incurs certificate management overhead,IBC introduces key escrow risks,and CLC encounters cross-system interoperability challenges.To overcome these shortcomings,this study introduces a heterogeneous signcryption-based authentication and key agreement protocol that synergistically integrates IBC for client operations(eliminating PKI’s certificate dependency)with CLC for server implementation(mitigating IBC’s key escrow issue while preserving efficiency).Rigorous security analysis under the mBR(modified Bellare-Rogaway)model confirms the protocol’s resistance to adaptive chosen-ciphertext attacks.Quantitative comparisons demonstrate that the proposed protocol achieves 10.08%–71.34%lower communication overhead than existing schemes across multiple security levels(80-,112-,and 128-bit)compared to existing protocols. 展开更多
关键词 User authentication key establishment client-server heterogeneous security
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Layered Feature Engineering for E-Commerce Purchase Prediction:A Hierarchical Evaluation on Taobao User Behavior Datasets 认领 引用
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作者 Liqiu Suo Lin Xia +1 位作者 Yoona Chung Eunchan Kim 《Computers, Materials & Continua》 SCIE EI 2026年第4期1865-1889,共25页
Accurate purchase prediction in e-commerce critically depends on the quality of behavioral features.This paper proposes a layered and interpretable feature engineering framework that organizes user signals into three ... Accurate purchase prediction in e-commerce critically depends on the quality of behavioral features.This paper proposes a layered and interpretable feature engineering framework that organizes user signals into three layers:Basic,Conversion&Stability(efficiency and volatility across actions),and Advanced Interactions&Activity(crossbehavior synergies and intensity).Using real Taobao(Alibaba’s primary e-commerce platform)logs(57,976 records for 10,203 users;25 November–03 December 2017),we conducted a hierarchical,layer-wise evaluation that holds data splits and hyperparameters fixed while varying only the feature set to quantify each layer’s marginal contribution.Across logistic regression(LR),decision tree,random forest,XGBoost,and CatBoost models with stratified 5-fold cross-validation,the performance improvedmonotonically fromBasic to Conversion&Stability to Advanced features.With LR,F1 increased from 0.613(Basic)to 0.962(Advanced);boosted models achieved high discrimination(0.995 AUC Score)and an F1 score up to 0.983.Calibration and precision–recall analyses indicated strong ranking quality and acknowledged potential dataset and period biases given the short(9-day)window.By making feature contributions measurable and reproducible,the framework complements model-centric advances and offers a transparent blueprint for production-grade behavioralmodeling.The code and processed artifacts are publicly available,and future work will extend the validation to longer,seasonal datasets and hybrid approaches that combine automated feature learning with domain-driven design. 展开更多
关键词 Hierarchical feature engineering purchase prediction user behavior dataset feature importance e-commerce platform Taobao
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A five-year study of distribution and determinants of high-cost users of prescription drugs in Côte d’Ivoire 认领 引用
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作者 Akissi Régine Attia-Konan Jérôme Kouame +5 位作者 Kouame Koffi Desquith Aka Marie-Laure Tiade Paul Yapo Yapi Hyppolite Tchio Fothé Serge Oga 《Pharmacoeconomics and Policy》 2025年第4期199-209,共11页
A small proportion of people account for a significant share of prescription drug expenditures.These individuals,commonly referred to as high-cost users(HCUs),are a key focus of initiatives designed to control expendi... A small proportion of people account for a significant share of prescription drug expenditures.These individuals,commonly referred to as high-cost users(HCUs),are a key focus of initiatives designed to control expenditures.This study aimed to describe the distribution of prescription drug expenditures and investigate the determinants of HCUs at the Mutual Health Insurance Company for Civil Servants of Côte d’Ivoire(Mutuelle Générale des Fonctionnaires et Agents de l’État de Côte d’Ivoire(MUGEFCI)).We conducted a retrospective analysis using MUGEFCI data.Beneficiaries who received reimbursement for at least one medication between January 1,2014,and December 31,2018 were included.HCUs were defined as individuals whose annual drug expenditure exceeded the 95th percentile.Generalized estimating equations(GEEs)were used to analyse the determinants.The median±interquartile range(IQR)expenditure for HCUs varied from 210,145±47,899 to 269,617.5±50,085 French speaking West African countries currency(XOF).HCUs accounted for between 30.84%and 32.31%of total medicine expenditures.Compared with people aged 15-25,those aged 55-65,65-75,and over 75 years were 1.47(odds ratio(OR)=1.47[1.41-1.54],P<0.001),1.73(OR=1.73[1.64-1.82],P<0.001),and 1.5(OR=1.5[1.38-1.63],P<0.001)times more likely to be HCUs,respectively.Those taking cardiovascular and anticancer medicines were 18.59(OR=18.59[18.55-19.23],P<0.001)and 78.37(OR=78.17[68.85-89.21],P<0.001)times more likely to be HCUs,respectively.Beneficiaries consulting a level 3 facility were 2.73(OR=2.73[2.67-2.79],P<0.001)times more likely to be HCUs.Older age,use of cardiovascular or anticancer drugs,and consultation with a level 3 facility were the major determinants of HCUs.It is necessary to promote rational medicine use and enhance prevention of cardiovascular diseases and cancer. 展开更多
关键词 High-cost users Prescription drugs Mutual health insurance Africa Retrospective study
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Research on Two-Stage Capacity Configuration Optimization of Internet Dispatching Systems:From the Perspective of AI Empowerment and User Behavior 认领 引用
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作者 Yunjie Lou 《Proceedings of Business and Economic Studies》 2026年第1期144-151,共8页
Against the backdrop of the rapid development of the digital economy,internet dispatching platforms such as food delivery and ride-hailing services have become key urban infrastructure.However,they generally face the ... Against the backdrop of the rapid development of the digital economy,internet dispatching platforms such as food delivery and ride-hailing services have become key urban infrastructure.However,they generally face the core contradiction between dynamic demand fluctuations and rigid service capacity constraints.This paper decomposes the dispatching system into a two-stage closed-loop structure of“waiting and service”.Combining queuing theory principles,AI empowerment characteristics,and introducing user loss aversion psychology and reference utility features,a configuration model covering basic capacity and safety capacity is constructed to explore optimal capacity strategies under profit-oriented and welfare-oriented orientations.Numerical examples verify the model’s effectiveness.Results show that the optimal capacity consists of basic capacity and safety capacity,with the two-stage safety capacity maintaining a specific matching ratio.Moreover,AI empowerment reduces the basic capacity demand in the waiting stage but requires simultaneous optimization of service stage capacity to avoid new bottlenecks.Consequently,platform positioning and user behavior characteristics significantly affect capacity configuration efficiency.The research conclusions provide theoretical support and practical guidance for dispatching platforms to achieve refined operations and balance efficiency with user experience. 展开更多
关键词 Internet dispatching system Capacity configuration AI empowerment User behavior Queuing theory
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Research on User Behavior Analysis Based on Big Data Technology 认领 引用
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作者 Yunzhe Dai 《Journal of Electronic Research and Application》 2026年第3期101-107,共7页
Big data technology refers to the ability to efficiently extract high-value information from multiple sources and massive amounts of data.It is an important achievement in the development of information technology and... Big data technology refers to the ability to efficiently extract high-value information from multiple sources and massive amounts of data.It is an important achievement in the development of information technology and has significant application value in the field of user behavior analysis.Against the backdrop of rapid development of the digital economy and industry transformation,the role of e-commerce in the market system is increasingly prominent,and the scale of platform users continues to expand.In order to promote high-quality and sustainable development of the e-commerce industry,e-commerce platforms urgently need to use precise marketing methods to provide personalized products and services according to user needs,thereby improving user conversion rates and platform operating efficiency.This article takes e-commerce users as the research object.Firstly,it elaborates on the data characteristics and types of e-commerce user behavior.Secondly,it summarizes the relationship between big data and user behavior analysis,as well as the application value of big data technology in e-commerce user behavior analysis.Finally,it proposes scientific and effective application strategies,aiming to provide reference for e-commerce platforms to achieve accurate recommendations,optimize service strategies,enhance user experience and market competitiveness by mining user consumption preferences,potential needs and behavioral characteristics. 展开更多
关键词 Big data technology E-commerce users Behavioral analysis Precision marketing
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Analysis of users’ electricity consumption behavior based on ensemble clustering 认领 引用 被引量：10
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作者 Qi Zhao Haolin Li +2 位作者 Xinying Wang Tianjiao Pu Jiye Wang 《Global Energy Interconnection》 2019年第6期479-489,共11页
Due to the increase in the number of smart meter devices,a power grid generates a large amount of data.Analyzing the data can help in understanding the users’electricity consumption behavior and demands;thus,enabling... Due to the increase in the number of smart meter devices,a power grid generates a large amount of data.Analyzing the data can help in understanding the users’electricity consumption behavior and demands;thus,enabling better service to be provided to them.Performing power load profile clustering is the basis for mining the users’electricity consumption behavior.By examining the complexity,randomness,and uncertainty of the users’electricity consumption behavior,this paper proposes an ensemble clustering method to analyze this behavior.First,principle component analysis(PCA)is used to reduce the dimensions of the data.Subsequently,the single clustering method is used,and the majority is selected for integrated clustering.As a result,the users’electricity consumption behavior is classified into different modes,and their characteristics are analyzed in detail.This paper examines the electricity power data of 19 real users in China for simulation purposes.This manuscript provides a thorough analysis along with suggestions for the users’weekly electricity consumption behavior.The results verify the effectiveness of the proposed method. 展开更多
关键词 Users’electricity consumption Ensemble clustering Dimensionality reduction Cluster validity
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A bright future for the tree shrew in neuroscience research:Summary from the inaugural Tree Shrew Users Meeting 认领 引用 被引量：8
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作者 Elise Savier Madineh Sedigh-Sarvestani +1 位作者 Ralf Wimmer David Fitzpatrick 《Zoological Research》 SCIE CSCD 2021年第4期478-481,共4页
Tree shrews(Tupaia spp.)have been used in neuroscience research since the 1960s due to their evolutionary proximity to primates.The use of and interest in this animal model have recently increased,in part due to the a... Tree shrews(Tupaia spp.)have been used in neuroscience research since the 1960s due to their evolutionary proximity to primates.The use of and interest in this animal model have recently increased,in part due to the adaptation of modern neuroscience tools in this species.These tools include quantitative behavioral assays,calcium imaging,optogenetics and transgenics.To facilitate the exchange and development of these new technologies and associated research findings,we organized the inaugural“Tree Shrew Users Meeting”which was held online due to the COVID-19 pandemic.Here,we review this meeting and discuss the history of tree shrews as an animal model in neuroscience research and summarize the current themes being investigated using this animal,as well as future directions. 展开更多
关键词 Tree Shrew Users Meeting Animal models Tupaia Neuroscience
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Changes in the default mode network in the prefrontal lobe, posterior cingulated cortex and hippocampus of heroin users 认领 引用 被引量：1
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作者 Wenfu Hu Xiangming Fu +3 位作者 Ruobing Qian Xiangpin Wei Xuebing Ji Chaoshi Niu 《Neural Regeneration Research》 SCIE CAS CSCD 2012年第18期1386-1391,共6页
The default mode network is associated with senior cognitive functions in humans. In this study, we performed independent component analysis of blood oxygenation signals from 14 heroin users and 13 matched normal cont... The default mode network is associated with senior cognitive functions in humans. In this study, we performed independent component analysis of blood oxygenation signals from 14 heroin users and 13 matched normal controls in the resting state through functional MRI scans. Results showed that the default mode network was significantly activated in the prefrontal lobe, posterior cingulated cortex and hippocampus of heroin users, and an enhanced activation signal was observed in the right inferior parietal Iobule （P 〈 0.05, corrected for false discovery rate）. Experimental findings indicate that the default mode network is altered in heroin users. 展开更多
关键词 heroin user independent component analysis functional MRI resting state default mode network neural regeneration
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Users' Media Cloud Assisted D2D Communications for Distributed Caching Underlaying Cellular Network 认领 引用 被引量：1
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作者 Mingkai Chen Lei Wang Jianxin Chen 《China Communications》 SCIE CSCD 2016年第8期13-23,共11页
In cellular networks, the proximity devices may share files directly without going through the e NBs, which is called Device-to-Device communications(D2D). It has been considered as a potential technological component... In cellular networks, the proximity devices may share files directly without going through the e NBs, which is called Device-to-Device communications(D2D). It has been considered as a potential technological component for the next generation of communication. In this paper, we investigate a novel framework to distribute video files from some other proximity devices through users' media cloud assisted D2 D communication. The main contributions of this work lie in: 1) Providing an efficient algorithm Media Cloud Cluster Selecting Scheme(MCCSS) to achieve the reasonable cluster; 2) Distributing the optimum updating files to the cluster heads, in order to minimize the expected D2 D communication transmission hop for files; 3) Proposing a minimum the hop method, which can ensure the user obtain required file as soon as possible. Extensive simulation results have demonstrated the efficiency of the proposed scheme. 展开更多
关键词 device-to-device communication users’ media cloud cache content delivery
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Epidemiology of Hepatitis B,C,D and G Viruses and Cytokine Levels among Intravenous Drug Users 认领 引用 被引量：1
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作者 李建蓉 王晶 +3 位作者 田昆仑 王一心 张雷 黄汉菊 《Journal of Huazhong University of Science and Technology(Medical Sciences)》 2006年第2期221-224,共4页
To investigate the features of various hepatitis virus infection in intravenous drug users （IVDU）, we conducted an epidemiological survey of hepatitis viruses including hepatitis B virus （HBV）, hepatitis C virus ... To investigate the features of various hepatitis virus infection in intravenous drug users （IVDU）, we conducted an epidemiological survey of hepatitis viruses including hepatitis B virus （HBV）, hepatitis C virus （HCV）, hepatitis D virus （HDV） and hepatitis G virus （HGV） in IVDU. The correlation of Tn lymphocyte cytokine and hepatitis virus infection was examined. A. study population of 406 IVDU consisted of 383 males and 23 females. HBV-DNA and HCV-RNA were detected by fluorescence quantitative polymerase chain reaction. HBsAg, HBeAg, anti-HBc, anti-HCV, HDV-Ag and anti-HGV were assayed by ELISA. The levels of cytokines of TH1 and TH2 were measured by ELISA. The similar indices taken from 102 healthy persons served as controls. The infection rate of each virus among IVDU was 36.45% for HBV, 69. 7 % for HCV, 2.22 % for HDV, and 1.97 % for HGV, respectively. The co-infection rate of HBV and HCV was detected in 113 of 406 （27. 83 %）. In contrast, among controls, the infection rate was 17.65% for HBV and 0% for the other hepatitis viruses. The levels of PHA-induced cytokines （IFN-γ and IL-4） and the level of serum IL-2 were obviously decreased in IVDU. On the other hand, the level of serum IL-4 was increased. The IFN-γ level was continuously decreased when the IVDU was infected with HBV/HCV. In conclusion, HBV and HCV infection were common in this population of IVDU and they had led to a high incidence of impaired TH 1 cytokine levels. 展开更多
关键词 hepatitis virus co-infection intravenous drug users epidemiology cytokine
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Direct immune-SCIR public-opinion propagation model based on real-time online users 认领 引用 被引量：3
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作者 Yun-Ming Wang Tian-Yi Guo +1 位作者 Wei-Dong Li Bo Chen 《Chinese Physics B》 SCIE EI CAS CSCD 2020年第10期131-142,共12页
Current public-opinion propagation research usually focused on closed network topologies without considering the fluctuation of the number of network users or the impact of social factors on propagation. Thus, it rema... Current public-opinion propagation research usually focused on closed network topologies without considering the fluctuation of the number of network users or the impact of social factors on propagation. Thus, it remains difficult to accurately describe the public-opinion propagation rules of social networks. In order to study the rules of public opinion spread on dynamic social networks, by analyzing the activity of social-network users and the regulatory role of relevant departments in the spread of public opinion, concepts of additional user and offline rates are introduced, and the direct immune-susceptible, contacted, infected, and refractory (DI-SCIR) public-opinion propagation model based on real-time online users is established. The interventional force of relevant departments, credibility of real information, and time of intervention are considered, and a public-opinion propagation control strategy based on direct immunity is proposed. The equilibrium point and the basic reproduction number of the model are theoretically analyzed to obtain boundary conditions for public-opinion propagation. Simulation results show that the new model can accurately reflect the propagation rules of public opinion. When the basic reproduction number is less than 1, public opinion will eventually disappear in the network. Social factors can significantly influence the time and scope of public opinion spread on social networks. By controlling social factors, relevant departments can analyze the rules of public opinion spread on social networks to suppress the propagate of negative public opinion and provide a powerful tool to ensure security and stability of society. 展开更多
关键词 public opinion propagation model direct immunization real-time online users basic reproduction number
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