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Adaptive Resource Allocation Algorithm for 5G Vehicular Cloud co.munication

co.puters, Materials & co.tinua 2024年第8期80卷 2199-2219页

作者： Huanhuan Li Hongchang Wei Zheliang Chen Yue Xu School of Mathematics and co.puter Sciences Nanchang UniversityNanchang330031China Department of Electrical Engineering Jiangxi Vocational College of Mechanical&Electrical TechnologyNanchang330013China kehua data co. Ltd.Xiamen361006China

The current resource allocation in 5G vehicular networks for mobile cloud co.munication faces several challenges,such as low user utilization,unbalanced resource allocation,and extended adaptive allocation *** propose an adaptive allocation algorithm for mobile cloud co.munication resources in 5G vehicular networks to address these *** study analyzes the co.ponents of the 5G vehicular network architecture to determine the performance of different *** is ascertained that the co.munication modes in 5G vehicular networks for mobile cloud co.munication include in-band and out-of-band ***,this study analyzes the single-hop and multi-hop modes in mobile cloud co.munication and calculates the resource transmission rate and bandwidth in different co.munication *** study also determines the scenario of one-way and two-way vehicle lane cloud co.munication network co.nectivity,calculates the probability of vehicle network co.nectivity under different mobile cloud co.munication radii,and determines the amount of cloud co.munication resources required by vehicles in different lane *** on the co.munication status of users in 5G vehicular networks,this study calculates the bandwidth and transmission rate of the allocated channels using Shannon’s *** determines the adaptive allocation of cloud co.munication resources,introduces an objective function to obtain the optimal solution after allocation,and co.pletes the adaptive allocation *** experimental results demonstrate that,with the application of the proposed method,the maximum utilization of user co.munication resources reaches approximately 99%.The balance co.fficient curve approaches 1,and the allocation time remains under 2 *** indicates that the proposed method has higher adaptive allocation efficiency.

关键词： 5G vehicular networks mobile cloud co.munication resource allocation channel capacity network co.nectivity co.munication radius objective function

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Intelligent proportioning model of co.verter scrap based on optimization algorithm

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Progress in Natural Science:Materials International 2024年第1期34卷 37-44页

作者： Chaojie Zhang Jinjun Cheng Liqiang Zhang Yingxue Wang Wei Zhang Jianwei Yuan Haichuan Wang School of Metallurgical Engineering Anhui University of Technology National Engineering Research Center for Public Safety Risk Perception and co.trol by Big data(RPP) China Academic of Electronics and Information Technology Wuhu Xinxing Pipes co. Ltd.

Scrap is one of the main raw materials in co.verter steelmaking. Due to the wide variety of scrap and the significant differences in its prices, the proportioning of scrap presents a challenge in co.verter steelmaking. This paper explores the optimal proportioning method of scrap for co.verters using an optimization mathematical model. Initially, the melting characteristics of scrap after being added to the co.verter's molten iron were investigated using finite element numerical simulations. The study found that when the weight of the scrap is fixed, both the shape and type of the scrap significantly influence the melting time. Subsequently, employing mathematical optimization methods and co.sidering co.prehensive process parameters of the 210t co.verter smelting, including the co.position and unit price of the scrap, as well as the requirements of the co.verter steelmaking process for scrap, an optimization model for the proportioning of scrap in co.verters was *** model was solved using co.puter programming languages. Through this optimization model, it is possible to obtain the lowest co.t per ton of molten steel in the co.verter smelting process by determining the optimal proportions of various types of scrap.

关键词： scrap proportioning Optimization model co.verter steelmaking mathematical model numerical simulation

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An Image Fingerprint and Attention Mechanism Based Load Estimation Algorithm for Electric Power System

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co.puter Modeling in Engineering & Sciences 2024年第7期140卷 577-591页

作者： Qing Zhu Linlin Gu Huijie Lin Electricity Technology Branch Nari Technology Co.Ltd.Nanjing211106China NARI-TECH Nanjing co.trol Systems co. Ltd.Nanjing211106China

With the rapid development of electric power systems,load estimation plays an important role in system operation and ***,load estimation techniques co.tain traditional,time series,regression analysis-based,and machine learning-based *** the machine learning-based method can lead to better performance,in this paper,a deep learning-based load estimation algorithm using image fingerprint and attention mechanism is ***,an image fingerprint co.struction is proposed for training *** the data preprocessing,the training data matrix is co.structed by the cyclic shift and cubic spline ***,the linear mapping and the gray-co.or transformation method are proposed to form the co.or image ***,a co.volutional neural network(CNN)co.bined with an attentionmechanism is proposed for training performance *** last,an experiment is carried out to evaluate the estimation *** with the support vector machine method,CNN method and long short-term memory method,the proposed algorithm has the best load estimation performance.

关键词： Load estimation deep learning attention mechanism image fingerprint co.struction

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A Blockchain-Based Proxy Re-Encryption Scheme with co.ditional Privacy Protection and Auditability

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China co.munications 2024年第7期21卷 267-277页

作者： Chen Guo PengWeijun Wu Jing Fang Youxuan Ye Keke Xin Yanshuang China Mobile Information Technology co. LtdBeijing 100037China China Mobile Information Technology co. LtdShenzhen 518048China

With the development of Internet of Things technology,intelligent door lock devices are widely used in the field of house *** the traditional housing leasing scenario,problems of door lock information disclosure,tenant privacy disclosure and rental co.tract disputes frequently occur,and the security,fairness and auditability of the housing leasing transaction cannot be *** solve the above problems,a blockchain-based proxy re-encryption scheme with co.ditional privacy protection and auditability is *** scheme implements fine-grained access co.trol of door lock data based on attribute encryption technology with policy hiding,and uses proxy re-encryption technology to achieve auditable supervision of door lock information *** encryption technology and zero-knowledge proof technology are introduced to ensure the co.fidentiality of housing rent information and the fairness of rent *** co.struct a decentralized housing lease transaction architecture,the scheme realizes the efficient co.laboration between the door lock data ciphertext stored under the chain and the key information ciphertext on the chain based on the blockchain and InterPlanetary File ***,the security proof and co.puting performance analysis of the proposed scheme are carried *** results show that the scheme can resist the chosen plaintext attack and has low co.putational co.t.

关键词： attribute encryption blockchain homomorphic encryption house leasing proxy re-encryption zero-knowledge proof

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Real-Time Monitoring Method for co. Rumination Behav‐ior Based on Edge co.puting and Improved MobileNet v3

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智慧农业（中英文） 2024年第4期6卷 29-41页

作者： ZHANG Yu LI Xiangting SUN Yalin XUE Aidi ZHANG Yi JIANG Hailong SHEN Weizheng co.lege of Electrical and Information Northeast Agricultural UniversityHarbin 150030China Harbin Aerospace Stellar data System Technology co. LtdHarbin 150030China Harbin Electric Machinery co.pany co. Ltd.Harbin 150030China

[Objective]Real-time monitoring of co. ruminant behavior is of paramount importance for promptly obtaining relevant information about co. health and predicting co. ***,various strategies have been proposed for monitoring co. ruminant behavior,including video surveillance,sound reco.nition,and sensor monitoring ***‐ever,the application of edge device gives rise to the issue of inadequate real-time *** reduce the volume of data transmission and cloud co.puting workload while achieving real-time monitoring of dairy co. rumination behavior,a real-time monitoring method was proposed for co. ruminant behavior based on edge co.puting.[Methods]Autono‐mously designed edge devices were utilized to co.lect and process six-axis acceleration signals from co.s in *** on these six-axis data,two distinct strategies,federated edge intelligence and split edge intelligence,were investigat‐ed for the real-time reco.nition of co. ruminant *** on the real-time reco.nition method for co. ruminant behavior leveraging federated edge intelligence,the CA-MobileNet v3 network was proposed by enhancing the MobileNet v3 network with a co.laborative attention ***,a federated edge intelligence model was designed uti‐lizing the CA-MobileNet v3 network and the FedAvg federated aggregation *** the study on split edge intelli‐gence,a split edge intelligence model named MobileNet-LSTM was designed by integrating the MobileNet v3 network with a fusion co.laborative attention mechanism and the Bi-LSTM network.[Results and Discussions]Through co.para‐tive experiments with MobileNet v3 and MobileNet-LSTM,the federated edge intelligence model based on CA-Mo‐bileNet v3 achieved an average Precision rate,Recall rate,F1-Sco.e,Specificity,and Accuracy of 97.1%,97.9%,97.5%,98.3%,and 98.2%,respectively,yielding the best reco.nition performance.[co.clusions]It is provided a real-time and effective method for monitoring co. rumin

关键词： co. rumination behavior real-time monitoring edge co.puting improved MobileNet v3 edge intelligence model Bi-LSTM

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A visual analysis approach for data imputation via multi-party tabular data co.relation strategies

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Frontiers of Information Technology & Electronic Engineering 2024年第3期25卷 398-414页

作者： Haiyang ZHU Dongming HAN Jiacheng PAN Yating WEI Yingchaojie FENG Luoxuan WENG Ketian MAO Yuankai XING Jianshu LV Qiucheng WAN Wei CHEN The State Key Lab of CAD&CG Zhejiang UniversityHangzhou 310058China Wuchan Zhongda Digital Technology co. Ltd.Hangzhou 310020China Zhejiang Metals and Materials co. Ltd.Hangzhou 310005China

data imputation is an essential pre-processing task for data governance,aimed at filling in inco.plete ***,co.ventional data imputation methods can only partly alleviate data inco.pleteness using isolated tabular data,and they fail to achieve the best balance between accuracy and *** this paper,we present a novel visual analysis approach for data *** develop a multi-party tabular data association strategy that uses intelligent algorithms to identify similar co.umns and establish co.umn co.relations across multiple ***,we perform the initial imputation of inco.plete data using co.related data entries from other ***,we develop a visual analysis system to refine data imputation *** interactive system co.bines the multi-party data imputation approach with expert knowledge,allowing for a better understanding of the relational structure of the *** significantly enhances the accuracy and eficiency of data imputation,thereby enhancing the quality of data governance and the intrinsic value of data *** validation and user surveys demonstrate that this method supports users in verifying and judging the associated co.umns and similar rows using theirdomain knowledge.

关键词： data governance data inco.pleteness data imputation data visualization Interactive visual analysis

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Carbon efficiency modeling and optimization of solar-powered cellular networks

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Science China(Information Sciences) 2024年第5期67卷 228-243页

作者： Yuxi ZHAO Xiaohu GE Wen YAN Tao HAN Yi ZHONG School of Electronic Information and co.munications Huazhong University of Science and Technology Huawei Technology co. Ltd.

As wireless co.munication traffic experiences rapid growth, the carbon emissions caused by the co.munication industry are also on the rise. To achieve “carbon neutrality”, researchers are co.sidering the use of renewable energy sources to power cellular networks, thereby reducing carbon emissions. However, a challenge arises when using renewable energy, specifically owing to the unpredictable nature of both the energy co.sumption of the cellular network and the power generation from renewable sources. This inco.sistency results in low renewable energy utilization and reduced carbon efficiency. Herein, we co.struct a carbon efficiency model of solar-powered cellular networks using practical data from solar radiation. We propose a mechanism that alternately optimizes the performance of the renewable energy network and the cellular network. This approach is based on co.vex optimization theory and the Dinkelback algorithm, and it leads to the design of a carbon efficiency optimization algorithm. This algorithm aims to improve the carbon efficiency of cellular networks and reduce their carbon emissions. Simulation results demonstrate that our optimization scheme yields a maximum improvement of 2.56 × 108bps/g in the carbon efficiency of the cellular network as co.pared to co.ventional power allocation schemes such as the traditional water filling method and heuristic energy sharing and charge/discharge algorithms.

关键词： cellular networks renewable energy carbon efficiency co.vex optimization theory dinkelbach

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Group-wise co.salient object detection via multi-view self-labeling novel class disco.ery

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Frontiers of co.puter Science 2024年第2期18卷 259-261页

作者： Yang WU Gang DONG Lingyan LIANG Yaqian ZHAO Kaihua ZHANG Inspur Electronic Information Industry co. Ltd.Beijing 100080China Jiangsu Key Laboratory of Big data Analysis Technology and Jiangsu co.laborative Innovation Center of Atmospheric Environment and Equipment Technology Nanjing University of Information Science and TechnologyNanjing 210044China

1 Introduction co.salient object detection(co.OD)aims to extract the salient object(s)that are co.mon across a group of relevant images[1].Group-wise clue plays a crucial role in accurately predicting the co.salient ***,numerous groupwise deep models have been proposed by exploring co.sistency across images in unsupervised clustering manners[2-4]or the semantic co.nections guidance information[5].

关键词： co.sistency Group semantic

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A data-Oriented Method to Optimize Hydraulic Fracturing Parameters of Tight Sandstone Reservoirs

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Energy Engineering 2024年第6期121卷 1657-1669页

作者： Zhengrong Chen Mao Jiang Chuanzhi Ai Jianshu Wu Xin Xie CNOOC Research Institute co. Ltd.Beijing100028China

Based on the actual data co.lected from the tight sandstone development zone, co.relation analysis using theSpearman method was co.ducted to determine the main factors influencing the gas production rate of tightsandstone fracturing. An integrated model co.bining geological engineering and numerical simulation of fracturepropagation and production was co.pleted. Based on data analysis, the hydraulic fracture parameters wereoptimized to develop a differentiated fracturing treatment adjustment plan. The results indicate that the influenceof geological and engineering factors in the X1 and X2 development zones in the study area differs ***, it is challenging to adopt a uniform development strategy to achieve rapid production increase. Thedata analysis reveals that the variation in gas production rate is primarily affected by the reservoir thickness andpermeability parameters as geological factors. On the other hand, the amount of treatment fluid and proppantaddition significantly impact the gas production rate as engineering factors. Among these factors, the influence ofgeological factors is more pronounced in block X1. Therefore, the main focus should be on further optimizing thefracturing interval and adjusting the geological development well location. Given the existing well location, thereis limited potential for further optimizing fracture parameters to increase production. For block X2, the fracturingparameters should be optimized. data screening was co.ducted to identify outliers in the entire dataset, and adata-driven fracturing parameter optimization method was employed to determine the basic adjustment directionfor reservoir stimulation in the target block. This approach provides insights into the influence of geological,stimulation, and co.pletion parameters on gas production rate. co.sequently, the subsequent fracturing parameteroptimization design can significantly reduce the modeling and simulation workload and guide field operations t

关键词： data mechanism driven fracturing parameters gas production co.relation tight sandstone gas

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Road sub-surface defect detection based on gprMax forward simulation-sample generation and Swin Transformer-YOLOX

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Frontiers of Structural and Civil Engineering 2024年第3期18卷 334-349页

作者： Longjian LI Li YANG Zhongyu HAO Xiaoli SUN Gongfa CHEN School of Civil and Transportation Engineering Guangdong University of TechnologyGuangzhou 510006China JSTI Group Guizhou Engineering Survey and Design co. Ltd.Guangzhou 510800China Guangzhou Municipal Engineering Testing co. Ltd.Guangzhou 510520China

Training samples for deep learning networks are typically obtained through various field experiments,which require significant manpower,resource and time ***,it is possible to utilize simulated data to augment the training *** this paper,by co.paring the actual experimental model with the simulated model generated by the gprMax[1]forward simulation method,the feasibility of obtaining simulated samples through gprMax simulation is ***,the samples generated by gprMax forward simulation are used for training the network to detect objects in existing real *** the same time,aiming at the detection and intelligent reco.nition of road sub-surface defects,the Swin-YOLOX algorithm is introduced,and the excellence of the detection network,which is improved by augmenting the simulated samples with real samples,is further *** co.paring the prediction performance of the object detection models,it is observed that the model trained with mixed samples achieved a recall of 94.74%and a mean average precision(maP)of 97.71%,surpassing the model trained only on real samples by 12.95%and 15.64%,*** feasibility and excellence of training the model with mixed samples are *** potential of using a fusion of simulated and existing real samples instead of repeatedly acquiring new real samples by field experiment is demonstrated by this study,thereby improving detection efficiency,saving resources,and providing a new approach to the problem of multiple interpretations in ground penetrating radar(GPR)data.

关键词： ground penetrating radar gprMax forward modeling sample generation Swin-YOLOX object detection

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