It is important to improve the development efficiency of decoupling a coupling task package according to the information relevancy relation between development tasks in the collaborative development process of complic...It is important to improve the development efficiency of decoupling a coupling task package according to the information relevancy relation between development tasks in the collaborative development process of complicated electronic products.In order to define the task coupling model in the development process,the weighted directed graph based on the information relevancy is established,and the correspondence between weighted directed graph model and numerical design structure matrix model of coupling tasks is introduced.The task coupling model is quantized,thereby the interactivity matrix of task package is built.A multi-goal task decoupling method based on improved genetic algorithm is proposed to decouple the task coupling model,which transforms the decoupling of task package into a multi-goal optimization issue.Then the improved genetic algorithm is used to solve the interactivity matrix of coupling tasks.Finally,the effectiveness of this decomposition method is proved by using the example of task package decoupling of collaborative development of a radar’s phased array antenna.展开更多
现有的侧信息集成序列推荐模型中存在对用户表示学习及优化不足的问题,针对此问题提出基于多序列交互与对比学习的侧信息集成序列推荐模型(side-information integrated sequential recommendation model based on multi-sequence inter...现有的侧信息集成序列推荐模型中存在对用户表示学习及优化不足的问题,针对此问题提出基于多序列交互与对比学习的侧信息集成序列推荐模型(side-information integrated sequential recommendation model based on multi-sequence interaction and contrastive learning,MICL)。首先,引入多序列交互注意力机制,对项目序列和侧信息序列构建序列内和序列间的深度关联,从项目和侧信息两个角度捕获用户偏好,生成两个视角的用户表示。其次,采用用户表示优化模块,结合动态难负样本采样策略构建正负样本对,利用自监督信号优化用户表示。最后,通过多任务动态权重调整策略在推荐任务与属性预测任务之间实现动态平衡优化目标,提升模型的鲁棒性和泛化能力。在Beauty、Sports、Toys和Yelp四个公共数据集上进行实验,与效果较好的基线模型相比,MICL的召回率(recall)和归一化折损率(NDCG)平均提升了1.63%和2.35%,验证了MICL对学习和优化用户表示方面的有效性。展开更多
带权角色激活任务和周期时间授权是工作流系统访问控制研究尚未解决的核心问题.以基于角色的访问控制模型为基础,提出了一种新的工作流系统带权角色与周期时间访问控制模型WRPTAC(weighted role and periodic time access control).讨...带权角色激活任务和周期时间授权是工作流系统访问控制研究尚未解决的核心问题.以基于角色的访问控制模型为基础,提出了一种新的工作流系统带权角色与周期时间访问控制模型WRPTAC(weighted role and periodic time access control).讨论了周期时间表示方法,定义了工作流系统授权新概念和时态授权推导规则,给出了时间复杂度为O(n2)的时态授权推导规则一致性验证图论算法,并定义了任务激活约束规则.它能够表达复杂的工作流系统访问控制约束.展开更多
基金supported by the National Defense Basic Research Program of China (No. A1120131044)
文摘It is important to improve the development efficiency of decoupling a coupling task package according to the information relevancy relation between development tasks in the collaborative development process of complicated electronic products.In order to define the task coupling model in the development process,the weighted directed graph based on the information relevancy is established,and the correspondence between weighted directed graph model and numerical design structure matrix model of coupling tasks is introduced.The task coupling model is quantized,thereby the interactivity matrix of task package is built.A multi-goal task decoupling method based on improved genetic algorithm is proposed to decouple the task coupling model,which transforms the decoupling of task package into a multi-goal optimization issue.Then the improved genetic algorithm is used to solve the interactivity matrix of coupling tasks.Finally,the effectiveness of this decomposition method is proved by using the example of task package decoupling of collaborative development of a radar’s phased array antenna.
文摘现有的侧信息集成序列推荐模型中存在对用户表示学习及优化不足的问题,针对此问题提出基于多序列交互与对比学习的侧信息集成序列推荐模型(side-information integrated sequential recommendation model based on multi-sequence interaction and contrastive learning,MICL)。首先,引入多序列交互注意力机制,对项目序列和侧信息序列构建序列内和序列间的深度关联,从项目和侧信息两个角度捕获用户偏好,生成两个视角的用户表示。其次,采用用户表示优化模块,结合动态难负样本采样策略构建正负样本对,利用自监督信号优化用户表示。最后,通过多任务动态权重调整策略在推荐任务与属性预测任务之间实现动态平衡优化目标,提升模型的鲁棒性和泛化能力。在Beauty、Sports、Toys和Yelp四个公共数据集上进行实验,与效果较好的基线模型相比,MICL的召回率(recall)和归一化折损率(NDCG)平均提升了1.63%和2.35%,验证了MICL对学习和优化用户表示方面的有效性。
文摘带权角色激活任务和周期时间授权是工作流系统访问控制研究尚未解决的核心问题.以基于角色的访问控制模型为基础,提出了一种新的工作流系统带权角色与周期时间访问控制模型WRPTAC(weighted role and periodic time access control).讨论了周期时间表示方法,定义了工作流系统授权新概念和时态授权推导规则,给出了时间复杂度为O(n2)的时态授权推导规则一致性验证图论算法,并定义了任务激活约束规则.它能够表达复杂的工作流系统访问控制约束.
