With the increasing of the elderly population and the growing hearth care cost, the role of service robots in aiding the disabled and the elderly is becoming important. Many researchers in the world have paid much att...With the increasing of the elderly population and the growing hearth care cost, the role of service robots in aiding the disabled and the elderly is becoming important. Many researchers in the world have paid much attention to heaRthcare robots and rehabilitation robots. To get natural and harmonious communication between the user and a service robot, the information perception/feedback ability, and interaction ability for service robots become more important in many key issues.展开更多
In view of the complexity and uncertainty of system, both the state performances and state probabilities of multi-state components can be expressed by interval numbers. The belief function theory is used to characteri...In view of the complexity and uncertainty of system, both the state performances and state probabilities of multi-state components can be expressed by interval numbers. The belief function theory is used to characterize the uncertainty caused by various factors. A modified Markov model is proposed to obtain the state probabilities of components at any given moment and subsequently the mass function is used to represent the precise belief degree of state probabilities. Based on the primary studies of universal generating function(UGF)method, a belief UGF(BUGF) method is utilized to analyze the reliability and the uncertainty of excavator rectifier feedback system. This paper provides an available method to evaluate the reliability of multi-state systems(MSSs) with interval state performances and state probabilities, and also avoid the interval expansion problem.展开更多
大语言模型(LLM)在软件工程中的应用日益广泛,但目前自动化代码生成研究主要集中于通用功能代码,缺乏针对嵌入式系统特殊需求的有效解决方案。提出了RD2ESC(requirements documents to embedded system code)方法,通过基于提示词的微调...大语言模型(LLM)在软件工程中的应用日益广泛,但目前自动化代码生成研究主要集中于通用功能代码,缺乏针对嵌入式系统特殊需求的有效解决方案。提出了RD2ESC(requirements documents to embedded system code)方法,通过基于提示词的微调技术使LLM能够理解嵌入式代码与需求文档之间的复杂关系,并构建了多智能体协同的代码生成框架,能够利用需求文档和参考代码快速生成高质量的嵌入式代码。实验结果表明,RD2ESC相比GPT-4o基线模型在Pass@1指标上从0.15提升至0.71,测试通过率达到0.75,编译通过率达到0.95;敏感性分析显示该方法对参考代码质量存在一定依赖性,在10%~50%扰动条件下Pass@1从0.68降至0.47,完全无参考代码时降至0.25,但仍保持基础代码生成能力;消融实验证实了多智能体间的协同效应,完整系统相比单一组件展现出显著的性能提升。该研究为嵌入式代码自动生成提供了有效的技术框架,提升了嵌入式系统开发效率。展开更多
微电网建设规划方案决策中评价指标要素间相互关联是普遍存在的,针对传统评估方法对要素间的影响关系考虑较少或衡量主观,以至关联关系难以准确界定的问题,提出基于DEMATEL-ANPVIKOR(DEMATEL:Decision Making Trial and Evaluation Labo...微电网建设规划方案决策中评价指标要素间相互关联是普遍存在的,针对传统评估方法对要素间的影响关系考虑较少或衡量主观,以至关联关系难以准确界定的问题,提出基于DEMATEL-ANPVIKOR(DEMATEL:Decision Making Trial and Evaluation Laboratory,ANP:Analytic Network Process,VIKOR:Visekriterijumska Optimizacija I Kompromisno Resenje)的多属性微电网建设规划方案综合决策模型,利用DEMATEL法量化准则层指标要素的影响关系强度,充分考虑指标之间的依赖-反馈关系,采用ANP法确定各指标的权重,通过追求最大化群体效益和最小化个体遗憾,结合VIKOR法完成对备选方案的综合排序和选优。实例分析表明,该决策模型可以很好地适应指标体系中复杂的关联关系,有效提高指标权重分配的均衡性,具有一定的工程应用价值。展开更多
文摘With the increasing of the elderly population and the growing hearth care cost, the role of service robots in aiding the disabled and the elderly is becoming important. Many researchers in the world have paid much attention to heaRthcare robots and rehabilitation robots. To get natural and harmonious communication between the user and a service robot, the information perception/feedback ability, and interaction ability for service robots become more important in many key issues.
基金the National High Technology Research and Development Program(863)of China(No.2012AA062001)
文摘In view of the complexity and uncertainty of system, both the state performances and state probabilities of multi-state components can be expressed by interval numbers. The belief function theory is used to characterize the uncertainty caused by various factors. A modified Markov model is proposed to obtain the state probabilities of components at any given moment and subsequently the mass function is used to represent the precise belief degree of state probabilities. Based on the primary studies of universal generating function(UGF)method, a belief UGF(BUGF) method is utilized to analyze the reliability and the uncertainty of excavator rectifier feedback system. This paper provides an available method to evaluate the reliability of multi-state systems(MSSs) with interval state performances and state probabilities, and also avoid the interval expansion problem.
文摘大语言模型(LLM)在软件工程中的应用日益广泛,但目前自动化代码生成研究主要集中于通用功能代码,缺乏针对嵌入式系统特殊需求的有效解决方案。提出了RD2ESC(requirements documents to embedded system code)方法,通过基于提示词的微调技术使LLM能够理解嵌入式代码与需求文档之间的复杂关系,并构建了多智能体协同的代码生成框架,能够利用需求文档和参考代码快速生成高质量的嵌入式代码。实验结果表明,RD2ESC相比GPT-4o基线模型在Pass@1指标上从0.15提升至0.71,测试通过率达到0.75,编译通过率达到0.95;敏感性分析显示该方法对参考代码质量存在一定依赖性,在10%~50%扰动条件下Pass@1从0.68降至0.47,完全无参考代码时降至0.25,但仍保持基础代码生成能力;消融实验证实了多智能体间的协同效应,完整系统相比单一组件展现出显著的性能提升。该研究为嵌入式代码自动生成提供了有效的技术框架,提升了嵌入式系统开发效率。
文摘微电网建设规划方案决策中评价指标要素间相互关联是普遍存在的,针对传统评估方法对要素间的影响关系考虑较少或衡量主观,以至关联关系难以准确界定的问题,提出基于DEMATEL-ANPVIKOR(DEMATEL:Decision Making Trial and Evaluation Laboratory,ANP:Analytic Network Process,VIKOR:Visekriterijumska Optimizacija I Kompromisno Resenje)的多属性微电网建设规划方案综合决策模型,利用DEMATEL法量化准则层指标要素的影响关系强度,充分考虑指标之间的依赖-反馈关系,采用ANP法确定各指标的权重,通过追求最大化群体效益和最小化个体遗憾,结合VIKOR法完成对备选方案的综合排序和选优。实例分析表明,该决策模型可以很好地适应指标体系中复杂的关联关系,有效提高指标权重分配的均衡性,具有一定的工程应用价值。
