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Petroleum Science 2024年第4期21卷 2892-2900页

作者： Bing-Jie Xu Yi-Fei Shen Hui Qiao Zhi Gao Faculty of Business City University of Macau Rural Development Institute Chinese Academy of Social Sciences school of marxism Shenzhen Polytechnic University

This study aims to analysis the influence of economic growth(EG) and energy consumption(EC) on sulfur dioxide emissions(SE) in China. Accordingly, this study explores the link between EG, EC, and SE for 30 provinces in China over the span of 2000-2019. This study also analyzes cross-sectional dependence tests, panel unit root tests, Westerlund panel cointegration tests, Dumitrescu-Hurlin(D-H) causality tests. According to the test results, there is an inverted U-shaped association between EG and SE,and the assumption of the Environmental Kuznets Curve(EKC) is verified. The signs of EG and EC in the fixed effect(FE) and random effect(RE) methods are in line with those in the dynamic ordinary least squares(DOLS), fully modified ordinary least squares(FMOLS) and autoregressive distributed lag(ARDL)estimators. Moreover, the results verified that EC can obviously positive impact the SE. To reduce SE in China, government and policymakers can improve air quality by developing cleaner energy sources and improving energy efficiency. This requires the comprehensive use of policies, regulations, economic incentives, and public participation to promote sustainable development.

关键词： SO 2 emissions Economic growth Energy consumption EKC China

Rethinking the Encoder-decoder Structure in Medical Image Segmentation from Releasing Decoder Structure

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Journal of Bionic Engineering 2024年第3期21卷 1511-1521页

作者： Jiajia Ni Wei Mu An Pan Zhengming Chen school of Artificial Intelligence Anhui Polytechnic UniversityWuhu241000China school of Information Science and Engineering HoHai UniversityChangzhou213000China

Medical image segmentation has witnessed rapid advancements with the emergence of encoder-decoder based *** the encoder-decoder structure,the primary goal of the decoding phase is not only to restore feature map resolution,but also to mitigate the loss of feature information incurred during the encoding ***,this approach gives rise to a challenge:multiple up-sampling operations in the decoder segment result in the loss of feature *** address this challenge,we propose a novel network that removes the decoding structure to reduce feature information loss(CBL-Net).In particular,we introduce a Parallel Pooling Module(PPM)to counteract the feature information loss stemming from conventional and pooling operations during the encoding ***,we incorporate a Multiplexed Dilation Convolution(MDC)module to expand the network's receptive ***,although we have removed the decoding stage,we still need to recover the feature map ***,we introduced the Global Feature Recovery(GFR)*** uses attention mechanism for the image feature map resolution recovery,which can effectively reduce the loss of feature *** conduct extensive experimental evaluations on three publicly available medical image segmentation datasets:DRIVE,CHASEDB and MoNuSeg *** results show that our proposed network outperforms state-of-the-art methods in medical image *** addition,it achieves higher efficiency than the current network of coding and decoding structures by eliminating the decoding component.

关键词： Medical image segmentation Encoder-decoder architecture Attention mechanisms Releasing decoder architecture Neural network

A physics-informed neural network for simulation of finite deformation in hyperelastic-magnetic coupling problems

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Applied Mathematics and Mechanics(English Edition) 2024年第10期45卷 1717-1732页

作者： Lei WANG Zikun LUO Mengkai LU Minghai TANG Department of Engineering Mechanics College of Mechanics and Engineering SciencesHohai University school of Mechanical Engineering and Mechanics Ningbo University

Recently, numerous studies have demonstrated that the physics-informed neural network(PINN) can effectively and accurately resolve hyperelastic finite deformation problems. In this paper, a PINN framework for tackling hyperelastic-magnetic coupling problems is proposed. Since the solution space consists of two-phase domains,two separate networks are constructed to independently predict the solution for each phase region. In addition, a conscious point allocation strategy is incorporated to enhance the prediction precision of the PINN in regions characterized by sharp *** the developed framework, the magnetic fields and deformation fields of magnetorheological elastomers(MREs) are solved under the control of hyperelastic-magnetic coupling equations. Illustrative examples are provided and contrasted with the reference results to validate the predictive accuracy of the proposed framework. Moreover, the advantages of the proposed framework in solving hyperelastic-magnetic coupling problems are validated, particularly in handling small data sets, as well as its ability in swiftly and precisely forecasting magnetostrictive motion.

关键词： 74B20 74F15 deep learning finite deformation hyperelasticmagnetic coupling O343.5 physics-informed neural network (PINN) small data set

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“Radicalism”and“Conservatism”:The Philosophical Argument of Human Enhancement Technologies(HET)and Its Resolution

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Fudan Journal of the Humanities and Social Sciences 2024年第3期17卷 437-454页

作者： Yi Xianfei Liu Zhuang Center for Moral and Cultural Studies School of MarxismHunan Normal UniversityChangshaHunan 410081China school of marxism Hunan International Economics UniversityChangshaHunan 410205China

The philosophical debate between“radicalism”and“conservatism”in emerging human enhancement technologies(HET)has never *** their theoreti-cal claims seem to be distinct from each other,they actually share certain common-alities,which are mainly manifested in three aspects:first,they both hold certain illusions about emerging HET;second,they both reflect the loss of human subjec-tivity in the debate;and third,they both leave the premise of their propositions in *** on the reflection and grasp of these commonalities,we can grasp the possible boundaries of the dissolution of the two oppositions:let HET be“where it is in,”reconfigure anthropocentrism,suspend metaphysical myths,and turn to the“reality of human beings.”

关键词： HET-Radicalism Conservatism Philosophical controversy

Impact of the carbon market on investment benefits of power-grid enterprises in China: a system dynamics analysis

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Global Energy Interconnection 2024年第4期7卷 402-414页

作者： Wanning Mao Liang Hu Wenjuan Niu Xiaorong Sun Lili Hao Abimbola Susan Ajagun school of Public Administration Hohai University211100NanjingP.R.China Business school Hohai UniversityNanjing 211100P.R.China school of Electrical and Power Engineering Hohai UniversityNanjing211100P.R.China College of Electrical Engineering&Control Science Nanjing Tech UniversityNanjing 211816P.R.China school of Electrical Engineering and Technology Federal University of TechnologyMinnaNigeria

The power grid,as the hub connecting the power supply and consumption sides,plays an important role in achieving carbon neutrality in *** emerging carbon markets,assessing the investment benefits of power-grid enterprises is ***,studying the impact of the carbon market on the investment and operation of powergrid enterprises is key to ensuring their efficient ***,few studies have examined the interaction between the carbon and electricity markets using system dynamics models,highlighting a research gap in this *** study investigates the impact of the carbon market on the investment of power-grid enterprises using a novel evaluation system based on a system dynamics model that considers carbon-emissions from an established carbon-emission accounting ***,an index system for benefit evaluation was constructed from six aspects:financing ability,economic benefit,reliability,social responsibility,user satisfaction,and carbon-emissions.A system dynamics model was then developed to reflect the causal feedback relationship between the impact of the carbon market on the investment and operation of power-grid *** simulation results of a provincial power-grid enterprise analyze comprehensive investment evaluation benefits over a 10-year period and the impact of carbon emissions on the investment and operation of power-grid *** study provides guidelines for the benign development of power-grid enterprises within the context of the carbon market.

关键词： Carbon market Power-grid enterprises Investment benefit evaluation System dynamics analysis

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Customizable multifunctional metasurface absorber based on bidirectional deep neural networks covering the quasi-entire terahertz band

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Chinese Optics Letters 2024年第6期22卷 182-190页

作者： Zhipeng Ding Wei Su Lipeng’an Ye Yuanhang Zhou Wenlong Li Riaz Ali Bin Tang Hongbing Yao College of Mechanics and Engineering Science Hohai UniversityNanjing 211100China school of Microelectronics and Control Engineering Changzhou UniversityChangzhou 213164China

In this work, we propose a novel approach that combines a bidirectional deep neural network(BDNN) with a multifunctional metasurface absorber(MMA) for inverse design, which can effectively address the challenge of on-demand customization for absorbers. The inverse design of absorption peak frequencies can be achieved from 0.5 to 10 terahertz(THz), covering the quasi-entire THz band. Based on this, the BDNN is extended to broadband absorption, and the inverse design yields an MMA at the desired frequency. This work provides a broadly applicable approach to the custom design of multifunctional devices that can facilitate the evaluation and design of metasurfaces in electromagnetic absorption.

关键词： terahertz inverse design bidirectional deep neural network metasurface

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Numerical study of submerged bending vegetation under unidirectional flow

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Water Science and Engineering 2024年第1期17卷 92-100页

作者： Pei-pei Zhang Yi-qing Gong Ken Vui Chua Jie Dai Jing-qiao Mao College of Water Conservancy and Hydropower Engineering Hohai UniversityNanjing 210098China Institute of Water Science and Technology Hohai UniversityNanjing 210098China school of Engineering Cardiff UniversityCardiff CF243AAUK

Submerged vegetation commonly grows and plays a vital role in aquatic ecosystems,but it is also regarded as a barrier to the passing *** simulations of flow through and over submerged vegetation were carried out to investigate the effect of vegetation density on flow *** simulations were computationally set up to replicate flume experiments,in which vegetation was mimicked with flexible plastic *** fluid-structure interaction between flow and flexible vegetation was solved by coupling the two modules of the COMSOL *** cases with different vegetation densities were simulated,and the results were successfully validated against the experimental *** contours of the simulated time-averaged streamwise velocity and Reynolds stress were extracted to highlight the differences in mean and turbulent flow *** turbulence intensity was found to be more sensitive to vegetation density than the time-averaged *** developing length increased with the spacing between *** snapshots of the bending vegetation under instantaneous velocity and vorticity revealed that flexible vegetation responded to the effects of eddies in the shear layer by swaying *** first two rows of vegetation suffered stronger approaching flow and were prone to more streamlined *** addition,the origin of tip vortices was investigated via the distribution of *** results reveal the variation of flow properties with bending submerged vegetation and provide useful reference for optimizationofrestorationprojects.

关键词： Computational fluid dynamics Fluid-structure interaction Turbulence Flexible and submerged vegetation

Vickrey-Clark-Groves-based Method for Eradicating Deceptive Behaviors in Demand Response Transactions

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Journal of Modern Power Systems and Clean Energy 2024年第4期12卷 1260-1271页

作者： Yingjun Wu Chengjun Liu Zhiwei Lin Zhaorui Chen Runrun Chen Yuyang Chen College of Energy and Electrical Engineering Hohai UniversityNanjingChina

Demand response transactions between electric con-sumers,load aggregators,and the distribution network manag-er based on the"combination of price and incentive"are feasi-ble and ***,the incentive payment of demand re-sponse is quantified based on private information,which gives the electric consumers and load aggregators the possibility of defrauding illegitimate interests by declaring false *** paper proposes a method based on Vickrey-Clark-Groves(VCG)theory to prevent electric consumers and load aggrega-tors from taking illegitimate interests through deceptive behav-iors in the demand response ***,a demand re-sponse transaction framework with the price-and-incentive com-bined mode is established to illustrate the deceptive behaviors in the demand response ***,the idea for eradi-cating deceptive behaviors based on VCG theory is given,and a detailed VCG-based mathematical model is constructed follow-ing the demand response transaction ***,the proofs of incentive compatibility,individual rationality,cost minimization,and budget balance of the proposed VCG-based method are ***,a modified IEEE 33-node system and a modified IEEE 123-node system are used to illustrate and val-idate the proposed method.

关键词： Demand response transaction incentive mode cost-sharing false information deceptive behavior

Crack identification in concrete, using digital image correlation and neural network

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Frontiers of Structural and Civil Engineering 2024年第4期18卷 536-550页

作者： Jingyi WANG Dong LEI Kaiyang ZHOU Jintao HE Feipeng ZHU Pengxiang BAI College of Mechanics and Materials Hohai UniversityNanjing 211100China

In engineering applications,concrete crack monitoring is very *** methods are of low efficiency,low accuracy,have poor timeliness,and are applicable in only a limited number of ***,more comprehensive detection of concrete damage under different scenarios is of high value for practical engineering *** image correlation(DIC)technology can provide a large amount of experimental data,and neural network(NN)can process very rich ***,NN,including convolutional neural networks(CNN)and back propagation neural networks(BP),can be combined with DIC technology to analyze experimental data of three-point bending of plain concrete and four-point bending of reinforced *** addition,strain parameters can be used for training,and displacement parameters can be added for comprehensive *** data obtained by DIC technology are grouped for training,and the recognition results of NN show that the combination of strain and displacement parameters,i.e.,the response of specimen surface and whole body,can make results more objective and *** identification results obtained by CNN and BP show that these technologies can accurately identify *** identification results for reinforced concrete specimens are less affected by noise than those of plain concrete *** is more convenient because it can identify some features directly from images,recognizing the cracks formed by macro *** can issue early warning of the microscopic cracks,but it requires a large amount of data and *** can be seen that CNN is more intuitive and efficient in image processing,and is suitable when low accuracy is adequate,while BP is suitable for occasions with greater accuracy *** two tools have advantages in different situations,and together they can play an important role in engineering monitoring.

关键词： digital image correlation convolutional neural network back propagation neural neural network damage detection concrete

Coupled DEM-FDM analyses of the effects of falling rock’s shape and impact angle on response of granular cushion and rock shed

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Journal of Rock Mechanics and Geotechnical Engineering 2024年第8期16卷 3353-3364页

作者： Jingyu Xue Chen Cao Jianhua Yan Yaopeng Ji Jianping Chen College of Construction Engineering Jilin UniversityChangchun130026China school of Earth Sciences and Engineering Hohai UniversityNanjing210098China

Rock shed is an effective protection measure against *** investigate the influences of falling rock’s shape and impact angle on the impact effect of the cushioned rock shed,a modeling approach for a rock shed with a cushion layer using *** granular cushion is modeled as an aggregate of discrete non-cohesion particles,while the concrete plate and the beam are modeled as *** falling rock with different sphericities and impact angles is modeled as a rigid *** numerical model is validated by comparing the simulation results with experimental and numerical results from previous *** model is applied to analyze the effects of rock shape and impact angle on the dynamic interaction effects between falling rock and cushioned rock shed,including the impact force,transmitted bottom force,penetration depth,and plate *** numerical results show that the variation in the falling rock’s shape has different effects on the falling rock with different impact *** findings could support rock shed design by revealing the limitations of the assumptions in the past research,which may result in unsafe rock sheds for some rockfall cases.

关键词： Rockfall Coupled DEM-FDM analysis Rock’s shape Impact angle Granular cushion Rock shed