Software of autonomous robot is a complex physical and social technical system that is context-aware, autonomous and capable of self-management to achieve tasks. It typically consists of a large amount of autonomous e...Software of autonomous robot is a complex physical and social technical system that is context-aware, autonomous and capable of self-management to achieve tasks. It typically consists of a large amount of autonomous entities and interactions. To develop such system needs high-level metaphors and effective mechanisms independent of physical and technical details of various robots.The paper presents a multi-agent organization approach to developing autonomous robot software that is modelled as social organization, in which each agent is bound to specific roles with specified responsibilities that are tightly related with robot’s characteristics and tasks. These agents form diverse organization structure and patterns to achieve flexible cooperation in order to achieve assigned tasks. The paper details multi-agent organization model of autonomous robot software and various roles in the model. We have implemented a framework called AutoRobot that realizes the approach and supports the development and running of autonomous robot software. A case is studied by using NAO robot to show the effectiveness of our proposed approach.展开更多
Cooperative multi-agent reinforcement learning(MARL)is a key technology for enabling cooperation in complex multi-agent systems.It has achieved remarkable progress in areas such as gaming,autonomous driving,and multi-...Cooperative multi-agent reinforcement learning(MARL)is a key technology for enabling cooperation in complex multi-agent systems.It has achieved remarkable progress in areas such as gaming,autonomous driving,and multi-robot control.Empowering cooperative MARL with multi-task decision-making capabilities is expected to further broaden its application scope.In multi-task scenarios,cooperative MARL algorithms need to address 3 types of multi-task problems:reward-related multi-task,arising from different reward functions;multi-domain multi-task,caused by differences in state and action spaces,state transition functions;and scalability-related multi-task,resulting from the dynamic variation in the number of agents.Most existing studies focus on scalability-related multitask problems.However,with the increasing integration between large language models(LLMs)and multi-agent systems,a growing number of LLM-based multi-agent systems have emerged,enabling more complex multi-task cooperation.This paper provides a comprehensive review of the latest advances in this field.By combining multi-task reinforcement learning with cooperative MARL,we categorize and analyze the 3 major types of multi-task problems under multi-agent settings,offering more fine-grained classifications and summarizing key insights for each.In addition,we summarize commonly used benchmarks and discuss future directions of research in this area,which hold promise for further enhancing the multi-task cooperation capabilities of multi-agent systems and expanding their practical applications in the real world.展开更多
This paper addresses the consensus problem of nonlinear multi-agent systems subject to external disturbances and uncertainties under denial-ofservice(DoS)attacks.Firstly,an observer-based state feedback control method...This paper addresses the consensus problem of nonlinear multi-agent systems subject to external disturbances and uncertainties under denial-ofservice(DoS)attacks.Firstly,an observer-based state feedback control method is employed to achieve secure control by estimating the system's state in real time.Secondly,by combining a memory-based adaptive eventtriggered mechanism with neural networks,the paper aims to approximate the nonlinear terms in the networked system and efficiently conserve system resources.Finally,based on a two-degree-of-freedom model of a vehicle affected by crosswinds,this paper constructs a multi-unmanned ground vehicle(Multi-UGV)system to validate the effectiveness of the proposed method.Simulation results show that the proposed control strategy can effectively handle external disturbances such as crosswinds in practical applications,ensuring the stability and reliable operation of the Multi-UGV system.展开更多
This paper investigates the challenges associated with Unmanned Aerial Vehicle (UAV) collaborative search and target tracking in dynamic and unknown environments characterized by limited field of view. The primary obj...This paper investigates the challenges associated with Unmanned Aerial Vehicle (UAV) collaborative search and target tracking in dynamic and unknown environments characterized by limited field of view. The primary objective is to explore the unknown environments to locate and track targets effectively. To address this problem, we propose a novel Multi-Agent Reinforcement Learning (MARL) method based on Graph Neural Network (GNN). Firstly, a method is introduced for encoding continuous-space multi-UAV problem data into spatial graphs which establish essential relationships among agents, obstacles, and targets. Secondly, a Graph AttenTion network (GAT) model is presented, which focuses exclusively on adjacent nodes, learns attention weights adaptively and allows agents to better process information in dynamic environments. Reward functions are specifically designed to tackle exploration challenges in environments with sparse rewards. By introducing a framework that integrates centralized training and distributed execution, the advancement of models is facilitated. Simulation results show that the proposed method outperforms the existing MARL method in search rate and tracking performance with less collisions. The experiments show that the proposed method can be extended to applications with a larger number of agents, which provides a potential solution to the challenging problem of multi-UAV autonomous tracking in dynamic unknown environments.展开更多
The internationalization of technical standards is a crucial means to promote high-quality economic development,enhance corporate competitiveness,and participate in global economic governance.Drawing widespread academ...The internationalization of technical standards is a crucial means to promote high-quality economic development,enhance corporate competitiveness,and participate in global economic governance.Drawing widespread academic attention,this paper systematically reviews existing research on the internationalization of technical standards,covering aspects such as the concept of technical internationalization,challenges and countermeasures,influencing factors,and the relationship between technological innovation and technical standards.The aim is to advance the refinement of related technical fields and provide theoretical support and guidance for practical activities in the internationalization of technical standards.展开更多
The full potential of advanced coating and finishingtechnologies for the production of technical textiles willbe outlined by Monforts specialists at Techtextil NorthAmerica which takes place in Atlanta,Georgia,from Ma...The full potential of advanced coating and finishingtechnologies for the production of technical textiles willbe outlined by Monforts specialists at Techtextil NorthAmerica which takes place in Atlanta,Georgia,from May6-8.The company and its US representative PSP Market-ing,of Charlotte,North Carolina,will be part of the exten-sive VDMA German Pavilion at the show,at stand 323lwithin the Georgia World Congress Center.展开更多
Uzbekistan Institute of Standards(UIS),founded in 1969,is the national standardization body of Uzbekistan.There are over 32,000 national standards in Uzbekistan.Last year,UIS revised the working regulations of all tec...Uzbekistan Institute of Standards(UIS),founded in 1969,is the national standardization body of Uzbekistan.There are over 32,000 national standards in Uzbekistan.Last year,UIS revised the working regulations of all technical committees,which were established in accordance with the organizational structure of ISO.At present,UIS has standardization training courses covering 54 directions,and more than 1,700 experts have received relevant training.UIS ranks the 95th in terms of the Quality Infrastructure for Sustainable Development(QI4SD)and 80th in terms of the Global Quality Infrastructure Index(GQII).It is a member of ISO and an associate member of IEC.In the UIS,40 experts have participated in the activities of various ISO technical committees,and 251 experts have participated in the discussion of IEC projects as observer members.展开更多
This paper summarized the technical regulations for protected production of netted melon in Yantai City,primarily including technical measures such as the environmental requirements of the production area,cultivation ...This paper summarized the technical regulations for protected production of netted melon in Yantai City,primarily including technical measures such as the environmental requirements of the production area,cultivation techniques,pest and disease control,harvesting,packaging,storage,waste management,and production records for netted melon grown in facilities.The technical regulations aim to standardize the protected production of netted melon and enhance the level of standardized and normative production technology.展开更多
Term is a kind of limited language symbols,usually presented in a specific language or text and used to communicate and express ideas.With the globalization of economy,international trade has become more frequent,and ...Term is a kind of limited language symbols,usually presented in a specific language or text and used to communicate and express ideas.With the globalization of economy,international trade has become more frequent,and chemical products have gradually become the hotspot of international import and export transactions,so the Chinese translation of the names of chemical products has become more important,and accurate translation can better promote the development of the domestic chemical industry and its dialogue and exchange with the international chemical industry.In this paper,we first explore the Chinese translation strategies of the semi-technical words in chemistry,and then investigate the translation strategies for technical words,subdividing the technical words into compounds,derivatives,and acronyms,with a view to providing ideas and references for translations of relevant texts.展开更多
Technical English is characterized by a high degree of specialization. The prevalent use of nominalization enhances the objectivity and rigor of the text by reducing reliance on subject-predicate structures, thereby a...Technical English is characterized by a high degree of specialization. The prevalent use of nominalization enhances the objectivity and rigor of the text by reducing reliance on subject-predicate structures, thereby achieving greater conciseness, objectivity, and precision. This paper will explore the nominalization strategies in the English translation of scientific and technical texts at both the lexical and the syntactic levels.展开更多
This paper mainly focuses on the velocity-constrained consensus problem of discrete-time heterogeneous multi-agent systems with nonconvex constraints and arbitrarily switching topologies,where each agent has first-ord...This paper mainly focuses on the velocity-constrained consensus problem of discrete-time heterogeneous multi-agent systems with nonconvex constraints and arbitrarily switching topologies,where each agent has first-order or second-order dynamics.To solve this problem,a distributed algorithm is proposed based on a contraction operator.By employing the properties of the stochastic matrix,it is shown that all agents’position states could converge to a common point and second-order agents’velocity states could remain in corresponding nonconvex constraint sets and converge to zero as long as the joint communication topology has one directed spanning tree.Finally,the numerical simulation results are provided to verify the effectiveness of the proposed algorithms.展开更多
The development of chassis active safety control technology has improved vehicle stability under extreme conditions.However,its cross-system and multi-functional characteristics make the controller difficult to achiev...The development of chassis active safety control technology has improved vehicle stability under extreme conditions.However,its cross-system and multi-functional characteristics make the controller difficult to achieve cooperative goals.In addition,the chassis system,which has high complexity,numerous subsystems,and strong coupling,will also lead to low computing efficiency and poor control effect of the controller.Therefore,this paper proposes a scenario-driven hybrid distributed model predictive control algorithm with variable control topology.This algorithm divides multiple stability regions based on the vehicle’s β−γ phase plane,forming a mapping relationship between the control structure and the vehicle’s state.A control input fusion mechanism within the transition domain is designed to mitigate the problems of system state oscillation and control input jitter caused by switching control structures.Then,a distributed state-space equation with state coupling and input coupling characteristics is constructed,and a weighted local agent cost function in quadratic programming is derived.Through cost coupling,local agents can coordinate global performance goals.Finally,through Simulink/CarSim joint simulation and hardware-in-the-loop(HIL)test,the proposed algorithm is validated to improve vehicle stability while ensuring trajectory tracking accuracy and has good applicability for multi-objective coordinated control.This paper combines the advantages of distributed MPC and decentralized MPC,achieving a balance between approximating the global optimal results and the solution’s efficiency.展开更多
This study provides a systematic investigation into the influence of feature selection methods on cryptocurrency price forecasting models employing technical indicators.In this work,over 130 technical indicators—cove...This study provides a systematic investigation into the influence of feature selection methods on cryptocurrency price forecasting models employing technical indicators.In this work,over 130 technical indicators—covering momentum,volatility,volume,and trend-related technical indicators—are subjected to three distinct feature selection approaches.Specifically,mutual information(MI),recursive feature elimination(RFE),and random forest importance(RFI).By extracting an optimal set of 20 predictors,the proposed framework aims to mitigate redundancy and overfitting while enhancing interpretability.These feature subsets are integrated into support vector regression(SVR),Huber regressors,and k-nearest neighbors(KNN)models to forecast the prices of three leading cryptocurrencies—Bitcoin(BTC/USDT),Ethereum(ETH/USDT),and Binance Coin(BNB/USDT)—across horizons ranging from 1 to 20 days.Model evaluation employs the coefficient of determination(R2)and the root mean squared logarithmic error(RMSLE),alongside a walk-forward validation scheme to approximate real-world trading contexts.Empirical results indicate that incorporating momentum and volatility measures substantially improves predictive accuracy,with particularly pronounced effects observed at longer forecast windows.Moreover,indicators related to volume and trend provide incremental benefits in select market conditions.Notably,an 80%–85% reduction in the original feature set frequently maintains or enhances model performance relative to the complete indicator set.These findings highlight the critical role of targeted feature selection in addressing high-dimensional financial data challenges while preserving model robustness.This research advances the field of cryptocurrency forecasting by offering a rigorous comparison of feature selection methods and their effects on multiple digital assets and prediction horizons.The outcomes highlight the importance of dimension-reduction strategies in developing more efficient and resilient forecasting algorithms.Future efforts should incorporate high-frequency data and explore alternative selection techniques to further refine predictive accuracy in this highly volatile domain.展开更多
This study explores engineering risk prevention and control in electromechanical engineering from the technical management perspective.It elaborates on technical management’s role,core concepts,critical risks,and var...This study explores engineering risk prevention and control in electromechanical engineering from the technical management perspective.It elaborates on technical management’s role,core concepts,critical risks,and various strategies like fail-safe design,predictive maintenance,ISO-compliant workflows.It also emphasizes future research areas such as AI-driven predictive risk modeling and cross-disciplinary management frameworks.展开更多
This paper focuses on concrete technical management in construction engineering.It explains the core elements,including production mix ratio,analyzes problems of traditional models,presents innovative management model...This paper focuses on concrete technical management in construction engineering.It explains the core elements,including production mix ratio,analyzes problems of traditional models,presents innovative management models like BIM+GIS and their applications,and covers aspects such as job competence standards and prefabricated modular construction regulations,emphasizing the significance and development direction of innovative models.展开更多
This paper focuses on the problem of leaderfollowing consensus for nonlinear cascaded multi-agent systems.The control strategies for these systems are transformed into successive control problem schemes for lower-orde...This paper focuses on the problem of leaderfollowing consensus for nonlinear cascaded multi-agent systems.The control strategies for these systems are transformed into successive control problem schemes for lower-order error subsystems.A distributed consensus analysis for the corresponding error systems is conducted by employing recursive methods and virtual controllers,accompanied by a series of Lyapunov functions devised throughout the iterative process,which solves the leaderfollowing consensus problem of a class of nonlinear cascaded multi-agent systems.Specific simulation examples illustrate the effectiveness of the proposed control algorithm.展开更多
Accelerating urbanization is driving an upgrade in the demand for real estate fine finishing,with multi-sector differentiated management and technical risks urgently requiring systematic solutions.Based on the“Guangz...Accelerating urbanization is driving an upgrade in the demand for real estate fine finishing,with multi-sector differentiated management and technical risks urgently requiring systematic solutions.Based on the“Guangzhou City Building and Municipal Infrastructure Engineering Quality Management Measures”(2024),this study constructs a“technical standards-process control-risk hedging”three-dimensional system,integrating BIM collaborative design,prefabricated construction,and big data risk assessment.Empirical evidence shows that the application of this system has shortened the construction period of super high-rise complexes by 12%and kept the cost deviation rate within 1.5%.Differentiated management balances functional complexity with dynamic commercial demands,the fuzzy analytic hierarchy process quantifies risk paths,and penetration testing interrupts chains of quality defects.The outcomes provide support for engineering standardization and intelligent transformation.展开更多
This paper examines the challenges in the technical briefing process for construction projects,including a three-level system and issues related to formalization.An optimization approaches was introduced based on the ...This paper examines the challenges in the technical briefing process for construction projects,including a three-level system and issues related to formalization.An optimization approaches was introduced based on the PDCA cycle,alongside the application of BIM and AR technologies.The key preparatory measures were outlined in this study and the functions of the management system was mentioned.Through case comparisons,this paper demonstrated that these optimizations can significantly improve efficiency and quality,support the development of an evaluation system to verify results,and highlight the critical role of organizational support.展开更多
文摘Software of autonomous robot is a complex physical and social technical system that is context-aware, autonomous and capable of self-management to achieve tasks. It typically consists of a large amount of autonomous entities and interactions. To develop such system needs high-level metaphors and effective mechanisms independent of physical and technical details of various robots.The paper presents a multi-agent organization approach to developing autonomous robot software that is modelled as social organization, in which each agent is bound to specific roles with specified responsibilities that are tightly related with robot’s characteristics and tasks. These agents form diverse organization structure and patterns to achieve flexible cooperation in order to achieve assigned tasks. The paper details multi-agent organization model of autonomous robot software and various roles in the model. We have implemented a framework called AutoRobot that realizes the approach and supports the development and running of autonomous robot software. A case is studied by using NAO robot to show the effectiveness of our proposed approach.
基金The National Natural Science Foundation of China(62136008,62293541)The Beijing Natural Science Foundation(4232056)The Beijing Nova Program(20240484514).
文摘Cooperative multi-agent reinforcement learning(MARL)is a key technology for enabling cooperation in complex multi-agent systems.It has achieved remarkable progress in areas such as gaming,autonomous driving,and multi-robot control.Empowering cooperative MARL with multi-task decision-making capabilities is expected to further broaden its application scope.In multi-task scenarios,cooperative MARL algorithms need to address 3 types of multi-task problems:reward-related multi-task,arising from different reward functions;multi-domain multi-task,caused by differences in state and action spaces,state transition functions;and scalability-related multi-task,resulting from the dynamic variation in the number of agents.Most existing studies focus on scalability-related multitask problems.However,with the increasing integration between large language models(LLMs)and multi-agent systems,a growing number of LLM-based multi-agent systems have emerged,enabling more complex multi-task cooperation.This paper provides a comprehensive review of the latest advances in this field.By combining multi-task reinforcement learning with cooperative MARL,we categorize and analyze the 3 major types of multi-task problems under multi-agent settings,offering more fine-grained classifications and summarizing key insights for each.In addition,we summarize commonly used benchmarks and discuss future directions of research in this area,which hold promise for further enhancing the multi-task cooperation capabilities of multi-agent systems and expanding their practical applications in the real world.
基金The National Natural Science Foundation of China(W2431048)The Science and Technology Research Program of Chongqing Municipal Education Commission,China(KJZDK202300807)The Chongqing Natural Science Foundation,China(CSTB2024NSCQQCXMX0052).
文摘This paper addresses the consensus problem of nonlinear multi-agent systems subject to external disturbances and uncertainties under denial-ofservice(DoS)attacks.Firstly,an observer-based state feedback control method is employed to achieve secure control by estimating the system's state in real time.Secondly,by combining a memory-based adaptive eventtriggered mechanism with neural networks,the paper aims to approximate the nonlinear terms in the networked system and efficiently conserve system resources.Finally,based on a two-degree-of-freedom model of a vehicle affected by crosswinds,this paper constructs a multi-unmanned ground vehicle(Multi-UGV)system to validate the effectiveness of the proposed method.Simulation results show that the proposed control strategy can effectively handle external disturbances such as crosswinds in practical applications,ensuring the stability and reliable operation of the Multi-UGV system.
基金supported by the National Natural Science Foundation of China(Nos.12272104,U22B2013).
文摘This paper investigates the challenges associated with Unmanned Aerial Vehicle (UAV) collaborative search and target tracking in dynamic and unknown environments characterized by limited field of view. The primary objective is to explore the unknown environments to locate and track targets effectively. To address this problem, we propose a novel Multi-Agent Reinforcement Learning (MARL) method based on Graph Neural Network (GNN). Firstly, a method is introduced for encoding continuous-space multi-UAV problem data into spatial graphs which establish essential relationships among agents, obstacles, and targets. Secondly, a Graph AttenTion network (GAT) model is presented, which focuses exclusively on adjacent nodes, learns attention weights adaptively and allows agents to better process information in dynamic environments. Reward functions are specifically designed to tackle exploration challenges in environments with sparse rewards. By introducing a framework that integrates centralized training and distributed execution, the advancement of models is facilitated. Simulation results show that the proposed method outperforms the existing MARL method in search rate and tracking performance with less collisions. The experiments show that the proposed method can be extended to applications with a larger number of agents, which provides a potential solution to the challenging problem of multi-UAV autonomous tracking in dynamic unknown environments.
文摘The internationalization of technical standards is a crucial means to promote high-quality economic development,enhance corporate competitiveness,and participate in global economic governance.Drawing widespread academic attention,this paper systematically reviews existing research on the internationalization of technical standards,covering aspects such as the concept of technical internationalization,challenges and countermeasures,influencing factors,and the relationship between technological innovation and technical standards.The aim is to advance the refinement of related technical fields and provide theoretical support and guidance for practical activities in the internationalization of technical standards.
文摘The full potential of advanced coating and finishingtechnologies for the production of technical textiles willbe outlined by Monforts specialists at Techtextil NorthAmerica which takes place in Atlanta,Georgia,from May6-8.The company and its US representative PSP Market-ing,of Charlotte,North Carolina,will be part of the exten-sive VDMA German Pavilion at the show,at stand 323lwithin the Georgia World Congress Center.
文摘Uzbekistan Institute of Standards(UIS),founded in 1969,is the national standardization body of Uzbekistan.There are over 32,000 national standards in Uzbekistan.Last year,UIS revised the working regulations of all technical committees,which were established in accordance with the organizational structure of ISO.At present,UIS has standardization training courses covering 54 directions,and more than 1,700 experts have received relevant training.UIS ranks the 95th in terms of the Quality Infrastructure for Sustainable Development(QI4SD)and 80th in terms of the Global Quality Infrastructure Index(GQII).It is a member of ISO and an associate member of IEC.In the UIS,40 experts have participated in the activities of various ISO technical committees,and 251 experts have participated in the discussion of IEC projects as observer members.
基金Supported by The Teaching Reform Research Project of Yantai Institute of China Agricultural University(202302Ks)Yantai Local Standard Revision Program(DB 3706/T 73-2021).
文摘This paper summarized the technical regulations for protected production of netted melon in Yantai City,primarily including technical measures such as the environmental requirements of the production area,cultivation techniques,pest and disease control,harvesting,packaging,storage,waste management,and production records for netted melon grown in facilities.The technical regulations aim to standardize the protected production of netted melon and enhance the level of standardized and normative production technology.
基金USST Construction Project of English-Taught Courses for International Students in 2024USST Teaching Achievement Award(Postgraduate)Cultivation Project in 2024.
文摘Term is a kind of limited language symbols,usually presented in a specific language or text and used to communicate and express ideas.With the globalization of economy,international trade has become more frequent,and chemical products have gradually become the hotspot of international import and export transactions,so the Chinese translation of the names of chemical products has become more important,and accurate translation can better promote the development of the domestic chemical industry and its dialogue and exchange with the international chemical industry.In this paper,we first explore the Chinese translation strategies of the semi-technical words in chemistry,and then investigate the translation strategies for technical words,subdividing the technical words into compounds,derivatives,and acronyms,with a view to providing ideas and references for translations of relevant texts.
文摘Technical English is characterized by a high degree of specialization. The prevalent use of nominalization enhances the objectivity and rigor of the text by reducing reliance on subject-predicate structures, thereby achieving greater conciseness, objectivity, and precision. This paper will explore the nominalization strategies in the English translation of scientific and technical texts at both the lexical and the syntactic levels.
基金2024 Jiangsu Province Youth Science and Technology Talent Support Project2024 Yancheng Key Research and Development Plan(Social Development)projects,“Research and Application of Multi Agent Offline Distributed Trust Perception Virtual Wireless Sensor Network Algorithm”and“Research and Application of a New Type of Fishery Ship Safety Production Monitoring Equipment”。
文摘This paper mainly focuses on the velocity-constrained consensus problem of discrete-time heterogeneous multi-agent systems with nonconvex constraints and arbitrarily switching topologies,where each agent has first-order or second-order dynamics.To solve this problem,a distributed algorithm is proposed based on a contraction operator.By employing the properties of the stochastic matrix,it is shown that all agents’position states could converge to a common point and second-order agents’velocity states could remain in corresponding nonconvex constraint sets and converge to zero as long as the joint communication topology has one directed spanning tree.Finally,the numerical simulation results are provided to verify the effectiveness of the proposed algorithms.
基金Supported by National Natural Science Foundation of China(Grant Nos.52225212,52272418,U22A20100)National Key Research and Development Program of China(Grant No.2022YFB2503302).
文摘The development of chassis active safety control technology has improved vehicle stability under extreme conditions.However,its cross-system and multi-functional characteristics make the controller difficult to achieve cooperative goals.In addition,the chassis system,which has high complexity,numerous subsystems,and strong coupling,will also lead to low computing efficiency and poor control effect of the controller.Therefore,this paper proposes a scenario-driven hybrid distributed model predictive control algorithm with variable control topology.This algorithm divides multiple stability regions based on the vehicle’s β−γ phase plane,forming a mapping relationship between the control structure and the vehicle’s state.A control input fusion mechanism within the transition domain is designed to mitigate the problems of system state oscillation and control input jitter caused by switching control structures.Then,a distributed state-space equation with state coupling and input coupling characteristics is constructed,and a weighted local agent cost function in quadratic programming is derived.Through cost coupling,local agents can coordinate global performance goals.Finally,through Simulink/CarSim joint simulation and hardware-in-the-loop(HIL)test,the proposed algorithm is validated to improve vehicle stability while ensuring trajectory tracking accuracy and has good applicability for multi-objective coordinated control.This paper combines the advantages of distributed MPC and decentralized MPC,achieving a balance between approximating the global optimal results and the solution’s efficiency.
文摘This study provides a systematic investigation into the influence of feature selection methods on cryptocurrency price forecasting models employing technical indicators.In this work,over 130 technical indicators—covering momentum,volatility,volume,and trend-related technical indicators—are subjected to three distinct feature selection approaches.Specifically,mutual information(MI),recursive feature elimination(RFE),and random forest importance(RFI).By extracting an optimal set of 20 predictors,the proposed framework aims to mitigate redundancy and overfitting while enhancing interpretability.These feature subsets are integrated into support vector regression(SVR),Huber regressors,and k-nearest neighbors(KNN)models to forecast the prices of three leading cryptocurrencies—Bitcoin(BTC/USDT),Ethereum(ETH/USDT),and Binance Coin(BNB/USDT)—across horizons ranging from 1 to 20 days.Model evaluation employs the coefficient of determination(R2)and the root mean squared logarithmic error(RMSLE),alongside a walk-forward validation scheme to approximate real-world trading contexts.Empirical results indicate that incorporating momentum and volatility measures substantially improves predictive accuracy,with particularly pronounced effects observed at longer forecast windows.Moreover,indicators related to volume and trend provide incremental benefits in select market conditions.Notably,an 80%–85% reduction in the original feature set frequently maintains or enhances model performance relative to the complete indicator set.These findings highlight the critical role of targeted feature selection in addressing high-dimensional financial data challenges while preserving model robustness.This research advances the field of cryptocurrency forecasting by offering a rigorous comparison of feature selection methods and their effects on multiple digital assets and prediction horizons.The outcomes highlight the importance of dimension-reduction strategies in developing more efficient and resilient forecasting algorithms.Future efforts should incorporate high-frequency data and explore alternative selection techniques to further refine predictive accuracy in this highly volatile domain.
文摘This study explores engineering risk prevention and control in electromechanical engineering from the technical management perspective.It elaborates on technical management’s role,core concepts,critical risks,and various strategies like fail-safe design,predictive maintenance,ISO-compliant workflows.It also emphasizes future research areas such as AI-driven predictive risk modeling and cross-disciplinary management frameworks.
文摘This paper focuses on concrete technical management in construction engineering.It explains the core elements,including production mix ratio,analyzes problems of traditional models,presents innovative management models like BIM+GIS and their applications,and covers aspects such as job competence standards and prefabricated modular construction regulations,emphasizing the significance and development direction of innovative models.
基金National Natural Science Foundation of China(No.12071370)。
文摘This paper focuses on the problem of leaderfollowing consensus for nonlinear cascaded multi-agent systems.The control strategies for these systems are transformed into successive control problem schemes for lower-order error subsystems.A distributed consensus analysis for the corresponding error systems is conducted by employing recursive methods and virtual controllers,accompanied by a series of Lyapunov functions devised throughout the iterative process,which solves the leaderfollowing consensus problem of a class of nonlinear cascaded multi-agent systems.Specific simulation examples illustrate the effectiveness of the proposed control algorithm.
文摘Accelerating urbanization is driving an upgrade in the demand for real estate fine finishing,with multi-sector differentiated management and technical risks urgently requiring systematic solutions.Based on the“Guangzhou City Building and Municipal Infrastructure Engineering Quality Management Measures”(2024),this study constructs a“technical standards-process control-risk hedging”three-dimensional system,integrating BIM collaborative design,prefabricated construction,and big data risk assessment.Empirical evidence shows that the application of this system has shortened the construction period of super high-rise complexes by 12%and kept the cost deviation rate within 1.5%.Differentiated management balances functional complexity with dynamic commercial demands,the fuzzy analytic hierarchy process quantifies risk paths,and penetration testing interrupts chains of quality defects.The outcomes provide support for engineering standardization and intelligent transformation.
文摘This paper examines the challenges in the technical briefing process for construction projects,including a three-level system and issues related to formalization.An optimization approaches was introduced based on the PDCA cycle,alongside the application of BIM and AR technologies.The key preparatory measures were outlined in this study and the functions of the management system was mentioned.Through case comparisons,this paper demonstrated that these optimizations can significantly improve efficiency and quality,support the development of an evaluation system to verify results,and highlight the critical role of organizational support.
