The multi-pass scheduling method is a key issue in die-less spinning for determining the quality of the final products, including their shape deviations and wall thicknesses, and has drawn increasing interest in recen...The multi-pass scheduling method is a key issue in die-less spinning for determining the quality of the final products, including their shape deviations and wall thicknesses, and has drawn increasing interest in recent studies devoted to trying to improve the accuracy of the formed parts. In this paper, two main parameters, roller path profiles and deformation allocations in each pass, are considered in newly proposed multi-pass scheduling and optimizing methods in die-less spinning. Four processing methods with different roller path profiles and with three deformation allocation methods are proposed for investigating the influence of scheduling parameters on product qualities. The ＇similar geometry principle for restraining shape deviation＇ and the ＇small curvature principle for maintaining wall thickness＇ are presented for optimal design of roller path profiles; in addition, the ＇uniform allocation principle for maintaining wall thickness＇ and the ＇large deformation principle for restraining shape deviation＇ are brought forward as suggestions for deformation allocations. Based on these principles, a scheduling method denoted by RF＋（FP ＆ EHS） is presented to improve the comprehensive quality of a product of die-less spinning.展开更多
Noncooperative computer systems and network confrontation present a core challenge in cyberspace security.Traditional cybersecurity technologies predominantly rely on passive response mechanisms,which exhibit signific...Noncooperative computer systems and network confrontation present a core challenge in cyberspace security.Traditional cybersecurity technologies predominantly rely on passive response mechanisms,which exhibit significant limitations when addressing real-world complex and unknown threats.This paper introduces the concept of“active cybersecurity,”aiming to enhance network security not only through technical measures but also by leveraging strategy-level defenses.The core assumption of this concept is that attackers and defenders,in the context of network confrontations,act as rational decision-makers seeking to maximize their respective objectives.Building on this observation,this paper integrates game theory to analyze the interdependent relationships between attackers and defenders,thereby optimizing their strategies.Guided by this foundational idea,we propose an active cybersecurity model involving intelligent threat sensing,in-depth behavior analysis,comprehensive path profiling,and dynamic countermeasures,termed SAPC,designed to foster an integrated defense capability encompassing threat perception,analysis,tracing,and response.At its core,SAPC incorporates theoretical analyses of adversarial behavior and the optimization of corresponding strategies informed by game theory.By profiling adversaries and modeling confrontation as a“game,”the model establishes a comprehensive framework that provides both theoretical insights into and practical guidance for cybersecurity.The proposed active cybersecurity model marks a transformative shift from passive defense to proactive perception and confrontation.It facilitates the evolution of cybersecurity technologies toward a new paradigm characterized by active prediction,prevention,and strategic guidance.展开更多
基金Project supported by the Zhejiang Provincial Natural Science Foundation of China （No. LYI5E050003）, the National Natural Science Foundation of China （No. 51675470）, and the Fundamental Research Funds for the Central Universities, China （No. 2015QNA4003）
文摘The multi-pass scheduling method is a key issue in die-less spinning for determining the quality of the final products, including their shape deviations and wall thicknesses, and has drawn increasing interest in recent studies devoted to trying to improve the accuracy of the formed parts. In this paper, two main parameters, roller path profiles and deformation allocations in each pass, are considered in newly proposed multi-pass scheduling and optimizing methods in die-less spinning. Four processing methods with different roller path profiles and with three deformation allocation methods are proposed for investigating the influence of scheduling parameters on product qualities. The ＇similar geometry principle for restraining shape deviation＇ and the ＇small curvature principle for maintaining wall thickness＇ are presented for optimal design of roller path profiles; in addition, the ＇uniform allocation principle for maintaining wall thickness＇ and the ＇large deformation principle for restraining shape deviation＇ are brought forward as suggestions for deformation allocations. Based on these principles, a scheduling method denoted by RF＋（FP ＆ EHS） is presented to improve the comprehensive quality of a product of die-less spinning.
基金supported by the National Natural Science Foundation of China(Nos.U2336204 and 62372086)the Natural Science Foundation of Sichuan Province,China(Nos.2024NSFSC0004 and2025ZNSFSC0500)。
文摘Noncooperative computer systems and network confrontation present a core challenge in cyberspace security.Traditional cybersecurity technologies predominantly rely on passive response mechanisms,which exhibit significant limitations when addressing real-world complex and unknown threats.This paper introduces the concept of“active cybersecurity,”aiming to enhance network security not only through technical measures but also by leveraging strategy-level defenses.The core assumption of this concept is that attackers and defenders,in the context of network confrontations,act as rational decision-makers seeking to maximize their respective objectives.Building on this observation,this paper integrates game theory to analyze the interdependent relationships between attackers and defenders,thereby optimizing their strategies.Guided by this foundational idea,we propose an active cybersecurity model involving intelligent threat sensing,in-depth behavior analysis,comprehensive path profiling,and dynamic countermeasures,termed SAPC,designed to foster an integrated defense capability encompassing threat perception,analysis,tracing,and response.At its core,SAPC incorporates theoretical analyses of adversarial behavior and the optimization of corresponding strategies informed by game theory.By profiling adversaries and modeling confrontation as a“game,”the model establishes a comprehensive framework that provides both theoretical insights into and practical guidance for cybersecurity.The proposed active cybersecurity model marks a transformative shift from passive defense to proactive perception and confrontation.It facilitates the evolution of cybersecurity technologies toward a new paradigm characterized by active prediction,prevention,and strategic guidance.
