World-known computer manufacturers are making efforts to develop high-grade typesetting systems. In 1993, the Zhuhai Stone Computer Typesetting System Development Company and Beijing Stone Modem Typesetting and Printi...World-known computer manufacturers are making efforts to develop high-grade typesetting systems. In 1993, the Zhuhai Stone Computer Typesetting System Development Company and Beijing Stone Modem Typesetting and Printing Equipment Company, both subsidiaries of the Beijing Stone Group, marketed the Stone Quick and Easy Tvpesetting Module and展开更多
Stone typesetting is an applied technology, which is a very important link in the construction process. According to the construction drawings and the site and the size of the stone board, the most reasonable size of ...Stone typesetting is an applied technology, which is a very important link in the construction process. According to the construction drawings and the site and the size of the stone board, the most reasonable size of the finished stone is divided and typeset and numbered according to the direction of the stone texture and the transition of color. In addition to effectively avoiding stone waste and saving material cost, the color typesetting of stone materials;More importantly, it can ensure the final landing effect of the stone and avoid the occurrence of non-striation.展开更多
Shield tunneling is the method most commonly used for underground projects.Segment typesetting,which involves determining the optimal assembly point for each segment ring and sequentially assembling them into a comple...Shield tunneling is the method most commonly used for underground projects.Segment typesetting,which involves determining the optimal assembly point for each segment ring and sequentially assembling them into a complete tunnel,is a critical step in shield tunneling.Currently,this typesetting process relies heavily on the operator’s experience at construction sites,which does not guarantee quality.Furthermore,research focuses mainly on the commonly used 16-point segment typesetting,largely ignoring other segment types.In addition,the reliability of these studies in site applications remains unsatisfactory.To address these issues,we propose an intelligent method for segment typesetting using an artificial neural network(ANN)and transfer learning.Due to insufficient historical data for ANN training,a dataset creation method was devised based on the Monte Carlo method and manual annotation.An ANN model was then developed to typeset 16-point segments,with its hyperparameters optimized through Bayesian optimization.Subsequently,the trained model was adapted to other segment types via transfer learning,using 10-point segments as a case study.Based on the test set established in this study,our proposed method showed superior performance compared with several commonly used machine learning methods and a representative and well-validated segment typesetting method.It was also validated using real data collected from construction sites,achieving an accuracy of 93.75%for 16-point segments and 91.43%for 10-point segments,both of which significantly surpass the results from manual typesetting on-site.The proposed method achieves accurate,rapid,and intelligent segment typesetting,which is adaptable to various segment types.展开更多
In our recently published paper,[1]a typesetting error occurred during the production process.Figure 1 in the published version was incomplete.The processing of molecular dynamics(MD)simulation data into graph-structu...In our recently published paper,[1]a typesetting error occurred during the production process.Figure 1 in the published version was incomplete.The processing of molecular dynamics(MD)simulation data into graph-structured representations in the left bottom panel of thefigure was inadvertently omitted.展开更多
In the PSP(Pressure-Sensitive Paint),image deblurring is essential due to factors such as prolonged camera exposure times and highmodel velocities,which can lead to significant image blurring.Conventional deblurring m...In the PSP(Pressure-Sensitive Paint),image deblurring is essential due to factors such as prolonged camera exposure times and highmodel velocities,which can lead to significant image blurring.Conventional deblurring methods applied to PSP images often suffer from limited accuracy and require extensive computational resources.To address these issues,this study proposes a deep learning-based approach tailored for PSP image deblurring.Considering that PSP applications primarily involve the accurate pressure measurements of complex geometries,the images captured under such conditions exhibit distinctive non-uniform motion blur,presenting challenges for standard deep learning models utilizing convolutional or attention-based techniques.In this paper,we introduce a novel deblurring architecture featuring multiple DAAM(Deformable Ack Attention Module).These modules provide enhanced flexibility for end-to-end deblurring,leveraging irregular convolution operations for efficient feature extraction while employing attention mechanisms interpreted as multiple 1×1 convolutions,subsequently reassembled to enhance performance.Furthermore,we incorporate a RSC(Residual Shortcut Convolution)module for initial feature processing,aimed at reducing redundant computations and improving the learning capacity for representative shallow features.To preserve critical spatial information during upsampling and downsampling,we replace conventional convolutions with wt(Haar wavelet downsampling)and dysample(Upsampling by Dynamic Sampling).This modification significantly enhances high-precision image reconstruction.By integrating these advanced modules within an encoder-decoder framework,we present the DFDNet(Deformable Fusion Deblurring Network)for image blur removal,providing robust technical support for subsequent PSP data analysis.Experimental evaluations on the FY dataset demonstrate the superior performance of our model,achieving competitive results on the GOPRO and HIDE datasets.展开更多
该文以Web of Science数据库1999-2018年449条国外数字故事研究论文题录数据为研究对象,利用CiteSpace对其进行可视化分析。通过共引分析和共现分析,揭示了国外数字故事研究领域的发文量、发文期刊、关键词、关键文献、代表性学者等,并...该文以Web of Science数据库1999-2018年449条国外数字故事研究论文题录数据为研究对象,利用CiteSpace对其进行可视化分析。通过共引分析和共现分析,揭示了国外数字故事研究领域的发文量、发文期刊、关键词、关键文献、代表性学者等,并在此基础上揭示了数字故事研究前沿主题,揭示了近二十年国外数字故事研究的知识基础：数字故事的定义及内涵、数字故事以及教育数字故事制作的基本要素、数字故事对学生21世纪技能的影响等;揭示了多模态教学模式、线上学习空间、学科应用深度整合、表现形式多样化、交互式数字故事特征与创作、21世纪技能提升等研究热点;揭示了数字故事的研究范围在专业教育领域的拓展。展开更多
One of the most extensively used technologies for improving the security of IoT devices is blockchain technology.It is a new technology that can be utilized to boost the security.It is a decentralized peer-to-peer net...One of the most extensively used technologies for improving the security of IoT devices is blockchain technology.It is a new technology that can be utilized to boost the security.It is a decentralized peer-to-peer network with no central authority.Multiple nodes on the network mine or verify the data recorded on the Blockchain.It is a distributed ledger that may be used to keep track of transactions between several parties.No one can tamper with the data on the blockchain since it is unchangeable.Because the blocks are connected by hashes,the transaction data is safe.It is managed by a system that is based on the consensus of network users rather than a central authority.The immutability and tamper-proof nature of blockchain security is based on asymmetric cryptography and hashing.Furthermore,Blockchain has an immutable and tamper-proof smart contract,which is a logic that enforces the Blockchain’s laws.There is a conflict between the privacy protection needs of cyber-security threat intelligent(CTI)sharing and the necessity to establish a comprehensive attack chain during blockchain transactions.This paper presents a blockchain-based data sharing paradigm that protects the privacy of CTI sharing parties while also preventing unlawful sharing and ensuring the benefit of legitimate sharing parties.It builds a full attack chain using encrypted threat intelligence and exploits the blockchain’s backtracking capacity to finish the decryption of the threat source in the attack chain.Smart contracts are also used to send automatic early warning replies to possible attack targets.Simulation tests are used to verify the feasibility and efficacy of the suggested model.展开更多
In this paper,a modified form of the traditional inverse Lomax distribution is proposed and its characteristics are studied.The new distribution which called modified logarithmic transformed inverse Lomax distribution...In this paper,a modified form of the traditional inverse Lomax distribution is proposed and its characteristics are studied.The new distribution which called modified logarithmic transformed inverse Lomax distribution is generated by adding a new shape parameter based on logarithmic transformed method.It contains two shape and one scale parameters and has different shapes of probability density and hazard rate functions.The new shape parameter increases the flexibility of the statistical properties of the traditional inverse Lomax distribution including mean,variance,skewness and kurtosis.The moments,entropies,order statistics and other properties are discussed.Six methods of estimation are considered to estimate the distribution parameters.To compare the performance of the different estimators,a simulation study is performed.To show the flexibility and applicability of the proposed distribution two real data sets to engineering and medical fields are analyzed.The simulation results and real data analysis showed that the Anderson-Darling estimates have the smallest mean square errors among all other estimates.Also,the analysis of the real data sets showed that the traditional inverse Lomax distribution and some of its generalizations have shortcomings in modeling engineering and medical data.Our proposed distribution overcomes this shortage and provides a good fit which makes it a suitable choice to model such data sets.展开更多
Urban rail transit can solve the current inconvenient transportation problem for China’s large urban population.A compound onboard energy storage system can meet vehicles’traction requirements and recover energy in ...Urban rail transit can solve the current inconvenient transportation problem for China’s large urban population.A compound onboard energy storage system can meet vehicles’traction requirements and recover energy in vehicles’braking stage to improve energy utilisation.However,the composite onboard energy storage system has several concerns,such as its power and energy demand,battery aging,and maintenance costs.Therefore,the NSGA-II algorithm is proposed to optimise matching the composite energy storage system parameters for urban rail trains.The NSGA-II algorithm was used with an improved elite retention strategy to optimise the parameters matching of the composite power supply.The optimisation’s objective concerns the replacement costs and economy of the composite power supply.The method increases the vertical diversity of searching and avoids genetic precocity.The NSGA-II algorithm calls the simulation model of composite power supply in real-time and simultaneously optimises the composite power supply and control parameters.The Pareto set of optimisation objectives and corresponding parameters and control strategies of composite power supply are obtained.The NSGA-II algorithm can optimise the composite energy storage system’s parameters and improve the train and the composite power supply’s performance indexes.The algorithm greatly reduces the composite power supply’s capacitance and reduces the system’s total energy consumption.Then,the multi-component energy loss caused by the multi-power source system can be effectively controlled.The total capacitance is reduced by 12.1%,the battery life is prolonged by 18.86%,and the optimised composite power supply’s energy storage is increased by 17.6%.展开更多
Correction:One Health Adv 3,12(2025)https://doi.org/10.1186/s44280-025-00078-y Following the publication of the original article[1],it is reported that the first sentence in Abstract section contains an error due to i...Correction:One Health Adv 3,12(2025)https://doi.org/10.1186/s44280-025-00078-y Following the publication of the original article[1],it is reported that the first sentence in Abstract section contains an error due to inadvertent typesetting mistake when performing proof corrections.The sentence has been corrected from:Staphylococcus aureus is a Gram significant pathogen in clinical settings and community.展开更多
Errors were introduced during the typesetting process by the Editorial Office.We sincerely apologize to the authors and our readers for this oversight.The corrections are as follows:1.Author ORCIDs:The following ORCID...Errors were introduced during the typesetting process by the Editorial Office.We sincerely apologize to the authors and our readers for this oversight.The corrections are as follows:1.Author ORCIDs:The following ORCIDs have been added to the author list:Yangfan Guo:https://orcid.org/0009-0009-1817-7959 Shaojie Chen:https://orcid.org/0009-0005-1235-2411 Wencong Mei:https://orcid.org/0009-0009-7635-6998 Hanrui Hu:https://orcid.org/0009-0006-7760-3338 Dongyang Chen:https://orcid.org/0000-0001-6264-060X 2.Abstract:The phrase"to access"has been corrected to"by accessing".3.Page 2,Line 3 in left column:The sentence"The CLS system was expected to exhibit limited experimental efficiency"has been corrected to"The CLS system exhibited limited experimental efficiency as expected".4.Page 3,Line 19 in left column:the$symbol should be removed.展开更多
The design of universal segments and deviation control of segment assembly are essential for robust and low-risk tunnel construction.A building information modeling(BIM)-based framework was proposed for parametric mod...The design of universal segments and deviation control of segment assembly are essential for robust and low-risk tunnel construction.A building information modeling(BIM)-based framework was proposed for parametric modeling,automatic assembly,and deviation control of universal segments.First,segment models of different levels of detail(LoDs)were built based on BIM visual programming language(VPL)for different project life cycles.Then,the geometric constraints,requirements,and procedures for parametric segment assembly were distilled to develop a program that combines a novel typesetting algorithm with a 3D path replanning algorithm.Typesetting is implemented by introducing a point indication matrix,characterizing segments by sides,and manipulating geometries in a VPL.Simultaneously,3D path replanning,with non-uniform rational B-splines(NURBS)and arcs as basic shapes,was used to resolve unacceptable deviation situations after typesetting.Finally,the proposed framework was validated on a water diversion line and was found to be more effective and accurate than the previous method.展开更多
Figure Correction A typesetting error occurred in the figures on page 9 of this article,where four identical images were mistakenly included in Figure 5B.The correct figures are provided below for correction.We confir...Figure Correction A typesetting error occurred in the figures on page 9 of this article,where four identical images were mistakenly included in Figure 5B.The correct figures are provided below for correction.We confirm that the above erratum is accurate,and all authors have reviewed and approved this correction.This erratum does not involve any academic misconduct,and the revised content does not alter the scientific conclusions of the paper.展开更多
Correction:Low-carbon Mater.Green Constr.3,24(2025)https://doi.org/10.1007/s44242-025-00084-8 Following publication of the original article[1],it is reported that one of the corresponding authors,Aziz Hasan Mahmood,wa...Correction:Low-carbon Mater.Green Constr.3,24(2025)https://doi.org/10.1007/s44242-025-00084-8 Following publication of the original article[1],it is reported that one of the corresponding authors,Aziz Hasan Mahmood,was not correctly identified as a corresponding author due to typesetting mistake.The authorship has now been corrected.The original article[1]has been updated.展开更多
文摘World-known computer manufacturers are making efforts to develop high-grade typesetting systems. In 1993, the Zhuhai Stone Computer Typesetting System Development Company and Beijing Stone Modem Typesetting and Printing Equipment Company, both subsidiaries of the Beijing Stone Group, marketed the Stone Quick and Easy Tvpesetting Module and
文摘Stone typesetting is an applied technology, which is a very important link in the construction process. According to the construction drawings and the site and the size of the stone board, the most reasonable size of the finished stone is divided and typeset and numbered according to the direction of the stone texture and the transition of color. In addition to effectively avoiding stone waste and saving material cost, the color typesetting of stone materials;More importantly, it can ensure the final landing effect of the stone and avoid the occurrence of non-striation.
基金supported by the National Key Research and Development Program of China(No.2022YFC3802302)the Project of Institute of Advanced Machines,Zhejiang University(No.KY202404-058).
文摘Shield tunneling is the method most commonly used for underground projects.Segment typesetting,which involves determining the optimal assembly point for each segment ring and sequentially assembling them into a complete tunnel,is a critical step in shield tunneling.Currently,this typesetting process relies heavily on the operator’s experience at construction sites,which does not guarantee quality.Furthermore,research focuses mainly on the commonly used 16-point segment typesetting,largely ignoring other segment types.In addition,the reliability of these studies in site applications remains unsatisfactory.To address these issues,we propose an intelligent method for segment typesetting using an artificial neural network(ANN)and transfer learning.Due to insufficient historical data for ANN training,a dataset creation method was devised based on the Monte Carlo method and manual annotation.An ANN model was then developed to typeset 16-point segments,with its hyperparameters optimized through Bayesian optimization.Subsequently,the trained model was adapted to other segment types via transfer learning,using 10-point segments as a case study.Based on the test set established in this study,our proposed method showed superior performance compared with several commonly used machine learning methods and a representative and well-validated segment typesetting method.It was also validated using real data collected from construction sites,achieving an accuracy of 93.75%for 16-point segments and 91.43%for 10-point segments,both of which significantly surpass the results from manual typesetting on-site.The proposed method achieves accurate,rapid,and intelligent segment typesetting,which is adaptable to various segment types.
文摘In our recently published paper,[1]a typesetting error occurred during the production process.Figure 1 in the published version was incomplete.The processing of molecular dynamics(MD)simulation data into graph-structured representations in the left bottom panel of thefigure was inadvertently omitted.
基金supported by the National Natural Science Foundation of China(No.12202476).
文摘In the PSP(Pressure-Sensitive Paint),image deblurring is essential due to factors such as prolonged camera exposure times and highmodel velocities,which can lead to significant image blurring.Conventional deblurring methods applied to PSP images often suffer from limited accuracy and require extensive computational resources.To address these issues,this study proposes a deep learning-based approach tailored for PSP image deblurring.Considering that PSP applications primarily involve the accurate pressure measurements of complex geometries,the images captured under such conditions exhibit distinctive non-uniform motion blur,presenting challenges for standard deep learning models utilizing convolutional or attention-based techniques.In this paper,we introduce a novel deblurring architecture featuring multiple DAAM(Deformable Ack Attention Module).These modules provide enhanced flexibility for end-to-end deblurring,leveraging irregular convolution operations for efficient feature extraction while employing attention mechanisms interpreted as multiple 1×1 convolutions,subsequently reassembled to enhance performance.Furthermore,we incorporate a RSC(Residual Shortcut Convolution)module for initial feature processing,aimed at reducing redundant computations and improving the learning capacity for representative shallow features.To preserve critical spatial information during upsampling and downsampling,we replace conventional convolutions with wt(Haar wavelet downsampling)and dysample(Upsampling by Dynamic Sampling).This modification significantly enhances high-precision image reconstruction.By integrating these advanced modules within an encoder-decoder framework,we present the DFDNet(Deformable Fusion Deblurring Network)for image blur removal,providing robust technical support for subsequent PSP data analysis.Experimental evaluations on the FY dataset demonstrate the superior performance of our model,achieving competitive results on the GOPRO and HIDE datasets.
文摘该文以Web of Science数据库1999-2018年449条国外数字故事研究论文题录数据为研究对象,利用CiteSpace对其进行可视化分析。通过共引分析和共现分析,揭示了国外数字故事研究领域的发文量、发文期刊、关键词、关键文献、代表性学者等,并在此基础上揭示了数字故事研究前沿主题,揭示了近二十年国外数字故事研究的知识基础：数字故事的定义及内涵、数字故事以及教育数字故事制作的基本要素、数字故事对学生21世纪技能的影响等;揭示了多模态教学模式、线上学习空间、学科应用深度整合、表现形式多样化、交互式数字故事特征与创作、21世纪技能提升等研究热点;揭示了数字故事的研究范围在专业教育领域的拓展。
文摘One of the most extensively used technologies for improving the security of IoT devices is blockchain technology.It is a new technology that can be utilized to boost the security.It is a decentralized peer-to-peer network with no central authority.Multiple nodes on the network mine or verify the data recorded on the Blockchain.It is a distributed ledger that may be used to keep track of transactions between several parties.No one can tamper with the data on the blockchain since it is unchangeable.Because the blocks are connected by hashes,the transaction data is safe.It is managed by a system that is based on the consensus of network users rather than a central authority.The immutability and tamper-proof nature of blockchain security is based on asymmetric cryptography and hashing.Furthermore,Blockchain has an immutable and tamper-proof smart contract,which is a logic that enforces the Blockchain’s laws.There is a conflict between the privacy protection needs of cyber-security threat intelligent(CTI)sharing and the necessity to establish a comprehensive attack chain during blockchain transactions.This paper presents a blockchain-based data sharing paradigm that protects the privacy of CTI sharing parties while also preventing unlawful sharing and ensuring the benefit of legitimate sharing parties.It builds a full attack chain using encrypted threat intelligence and exploits the blockchain’s backtracking capacity to finish the decryption of the threat source in the attack chain.Smart contracts are also used to send automatic early warning replies to possible attack targets.Simulation tests are used to verify the feasibility and efficacy of the suggested model.
基金This project was funded by the Deanship Scientific Research(DSR),King Abdulaziz University,Jeddah under Grant No.(RG-14-130-41)The author,therefore,acknowledge with thanks DSR for technical and financial support.
文摘In this paper,a modified form of the traditional inverse Lomax distribution is proposed and its characteristics are studied.The new distribution which called modified logarithmic transformed inverse Lomax distribution is generated by adding a new shape parameter based on logarithmic transformed method.It contains two shape and one scale parameters and has different shapes of probability density and hazard rate functions.The new shape parameter increases the flexibility of the statistical properties of the traditional inverse Lomax distribution including mean,variance,skewness and kurtosis.The moments,entropies,order statistics and other properties are discussed.Six methods of estimation are considered to estimate the distribution parameters.To compare the performance of the different estimators,a simulation study is performed.To show the flexibility and applicability of the proposed distribution two real data sets to engineering and medical fields are analyzed.The simulation results and real data analysis showed that the Anderson-Darling estimates have the smallest mean square errors among all other estimates.Also,the analysis of the real data sets showed that the traditional inverse Lomax distribution and some of its generalizations have shortcomings in modeling engineering and medical data.Our proposed distribution overcomes this shortage and provides a good fit which makes it a suitable choice to model such data sets.
基金Henan province’s project of science and technology under Grant No.202102210134.
文摘Urban rail transit can solve the current inconvenient transportation problem for China’s large urban population.A compound onboard energy storage system can meet vehicles’traction requirements and recover energy in vehicles’braking stage to improve energy utilisation.However,the composite onboard energy storage system has several concerns,such as its power and energy demand,battery aging,and maintenance costs.Therefore,the NSGA-II algorithm is proposed to optimise matching the composite energy storage system parameters for urban rail trains.The NSGA-II algorithm was used with an improved elite retention strategy to optimise the parameters matching of the composite power supply.The optimisation’s objective concerns the replacement costs and economy of the composite power supply.The method increases the vertical diversity of searching and avoids genetic precocity.The NSGA-II algorithm calls the simulation model of composite power supply in real-time and simultaneously optimises the composite power supply and control parameters.The Pareto set of optimisation objectives and corresponding parameters and control strategies of composite power supply are obtained.The NSGA-II algorithm can optimise the composite energy storage system’s parameters and improve the train and the composite power supply’s performance indexes.The algorithm greatly reduces the composite power supply’s capacitance and reduces the system’s total energy consumption.Then,the multi-component energy loss caused by the multi-power source system can be effectively controlled.The total capacitance is reduced by 12.1%,the battery life is prolonged by 18.86%,and the optimised composite power supply’s energy storage is increased by 17.6%.
文摘Correction:One Health Adv 3,12(2025)https://doi.org/10.1186/s44280-025-00078-y Following the publication of the original article[1],it is reported that the first sentence in Abstract section contains an error due to inadvertent typesetting mistake when performing proof corrections.The sentence has been corrected from:Staphylococcus aureus is a Gram significant pathogen in clinical settings and community.
基金National Key R&D Program of China(2023YFE0101600,2023YFA1606403,2022YFA1605100)National Natural Science Foundation of China(12027809,12350007)。
文摘Errors were introduced during the typesetting process by the Editorial Office.We sincerely apologize to the authors and our readers for this oversight.The corrections are as follows:1.Author ORCIDs:The following ORCIDs have been added to the author list:Yangfan Guo:https://orcid.org/0009-0009-1817-7959 Shaojie Chen:https://orcid.org/0009-0005-1235-2411 Wencong Mei:https://orcid.org/0009-0009-7635-6998 Hanrui Hu:https://orcid.org/0009-0006-7760-3338 Dongyang Chen:https://orcid.org/0000-0001-6264-060X 2.Abstract:The phrase"to access"has been corrected to"by accessing".3.Page 2,Line 3 in left column:The sentence"The CLS system was expected to exhibit limited experimental efficiency"has been corrected to"The CLS system exhibited limited experimental efficiency as expected".4.Page 3,Line 19 in left column:the$symbol should be removed.
文摘The design of universal segments and deviation control of segment assembly are essential for robust and low-risk tunnel construction.A building information modeling(BIM)-based framework was proposed for parametric modeling,automatic assembly,and deviation control of universal segments.First,segment models of different levels of detail(LoDs)were built based on BIM visual programming language(VPL)for different project life cycles.Then,the geometric constraints,requirements,and procedures for parametric segment assembly were distilled to develop a program that combines a novel typesetting algorithm with a 3D path replanning algorithm.Typesetting is implemented by introducing a point indication matrix,characterizing segments by sides,and manipulating geometries in a VPL.Simultaneously,3D path replanning,with non-uniform rational B-splines(NURBS)and arcs as basic shapes,was used to resolve unacceptable deviation situations after typesetting.Finally,the proposed framework was validated on a water diversion line and was found to be more effective and accurate than the previous method.
文摘Figure Correction A typesetting error occurred in the figures on page 9 of this article,where four identical images were mistakenly included in Figure 5B.The correct figures are provided below for correction.We confirm that the above erratum is accurate,and all authors have reviewed and approved this correction.This erratum does not involve any academic misconduct,and the revised content does not alter the scientific conclusions of the paper.
文摘Correction:Low-carbon Mater.Green Constr.3,24(2025)https://doi.org/10.1007/s44242-025-00084-8 Following publication of the original article[1],it is reported that one of the corresponding authors,Aziz Hasan Mahmood,was not correctly identified as a corresponding author due to typesetting mistake.The authorship has now been corrected.The original article[1]has been updated.
