There are always large-scale items in the maintenances schedule of aircraft system, many of which have been fixed to be done in predefined sequences, which leads the workflow to be sys-tematically complex and makes th...There are always large-scale items in the maintenances schedule of aircraft system, many of which have been fixed to be done in predefined sequences, which leads the workflow to be sys-tematically complex and makes this kind of problem quite different from all sorts of existing job-selection modes. On the other hand, the human resources are always limited and men have different working capabilities on different items, which make the allocation operation of human resources be much roomy. However, the final total time span of maintenance is often required to be as short as possible in many practices, in order to suffer only the lowest cost of loss while the system is stopping. A new model for op-timizing the allocation if aircraft maintenance human resources with the constraint of predefined sequence is presented. The ge-netic algorithm is employed to find the optimal solution that holds the shortest total time span of maintenance. To generate the ul-timate maintenance work items and the human resource array, the sequences among all maintenance work items are considered firstly, the work item array is then generated through traversal with the constraint of maintenance sequence matrix, and the human resources are finally allocated according to the work item array with the constraint of the maintenance capability. An example is demonstrated to show that the model and algorithm behave a satisfying performance on finding the optimal solution as expected.展开更多
Resource reconstruction algorithms are studied in this paper to solve the problem of resource on-demand allocation and improve the efficiency of resource utilization in virtual computing resource pool. Based on the id...Resource reconstruction algorithms are studied in this paper to solve the problem of resource on-demand allocation and improve the efficiency of resource utilization in virtual computing resource pool. Based on the idea of resource virtualization and the analysis of the resource status transition, the resource allocation process and the necessity of resource reconstruction are presented, l^esource reconstruction algorithms are designed to determine the resource reconstruction types, and it is shown that they can achieve the goal of resource on-demand allocation through three methodologies： resource combination, resource split, and resource random adjustment. The effects that the resource users have on the resource reconstruction results, the deviation between resources and requirements, and the uniformity of resource distribution are studied by three experiments. The experiments show that resource reconstruction has a close relationship with resource requirements, but it is not the same with current distribution of resources. The algorithms can complete the resource adjustment with a lower cost and form the logic resources to match the demands of resource users easily.展开更多
目的通过对汕头市、区二级疾控中心的人力资源相关数据进行比较分析,了解疾控中心人力资源配置现状,为汕头市各级疾控中心人才资源配置及专业队伍建设提供参考。方法通过标准表格收集汕头市2022年12月—2023年5月1个市级和7个区(县)疾...目的通过对汕头市、区二级疾控中心的人力资源相关数据进行比较分析,了解疾控中心人力资源配置现状,为汕头市各级疾控中心人才资源配置及专业队伍建设提供参考。方法通过标准表格收集汕头市2022年12月—2023年5月1个市级和7个区(县)疾控中心的人力资源数据,采用描述性方法对疾控中心人员的性别、年龄、职称、学历学位和专业背景等情况进行分析。使用Excel和GraphP ad Prism软件进行数据统计及差异比较分析。结果汕头市、区二级疾控中心人员性别构成较均衡,男女比例分别为48.1%和51.9%,差异无统计学意义(χ^(2)=0.66,P=0.42)。市级疾控中心35岁以下人员占比较区(县)级CDC高(分别为35.5%和18.9%),二级疾控中心人员年龄构成差异有统计学意义(χ^(2)=16.68,P<0.001)。市级疾控中心人员学历以本科、硕士为主,占77.6%;但区(县)疾控中心职工学历严重失衡,以本科、大专为主,硕士人员比例仅为1.7%,二者学历构成差异有统计学意义(χ^(2)=87.43,P<0.001);市级疾控中心人员职称集中在中级、高级职称,占比为55.2%,无职称人员占比为10.3%;区(县)疾控中心人员职称主要集中在中、初级,占比为71.4%,无职称人员占比为21.0%,二者专业技术职称构成差异有统计学意义(χ^(2)=33.99,P<0.001);二级疾控中心职工专业背景均以卫生专业为主(77.4%),二者专业背景构成差异无统计学意义(χ^(2)=1.35,P=0.24)。结论汕头市、区二级疾控中心在编人员总量不足,其中区(县)疾控中心职工总体学历偏低,人才配置不平衡,高层次人才总体缺乏;当地政府应当重视疾控人才队伍建设,提高已有专业人员的专业水平,积极引进高层次人才,切实做好本市各级疾控中心的人力资源规划。展开更多
目的探析国内外公立医院人力资源配置领域的研究情况、热点变迁及前沿趋势,为国内该领域研究方向提供参考借鉴。方法基于中国知网(CNKI)数据库和美国科学网(web of science,WOS),借助CiteSpace工具对国内外公立医院人力资源配置研究文...目的探析国内外公立医院人力资源配置领域的研究情况、热点变迁及前沿趋势,为国内该领域研究方向提供参考借鉴。方法基于中国知网(CNKI)数据库和美国科学网(web of science,WOS),借助CiteSpace工具对国内外公立医院人力资源配置研究文献进行可视化分析,包括文献作者、机构、关键词的共现和聚类分析,以及突变度检测。结果纳入中文样本文献1417篇,外文981篇。国内该领域研究更注重医疗改革与管理、资源配置与分级诊疗、信息化与效能提升等主题,国外则更关注员工满意度、卫生系统与质量、工作环境与医务人员等主题。未来趋势方面,国内研究重点关注降本增效强化公立医院公益性视角,国外研究则开始探索政治概念在该领域发挥的作用。结论相较于国外,国内还需继续提高理论水平和本土化水平,不断拓展该领域研究外延,探寻学科交叉的可能性,向人工智能与自动化技术在医疗服务中的应用、异质性工作队伍管理、管理技术和创新应用研究方向探索。展开更多
基于强化学习(Reinforcement Learning,RL),在保证用户服务质量(Quality of Service,QoS)的前提下,研究了人机物混合接入的异构网络中通信-计算资源联合分配算法。建立了一种新型人机物混合接入的异构网络拓扑结构。在最小服务质量需求...基于强化学习(Reinforcement Learning,RL),在保证用户服务质量(Quality of Service,QoS)的前提下,研究了人机物混合接入的异构网络中通信-计算资源联合分配算法。建立了一种新型人机物混合接入的异构网络拓扑结构。在最小服务质量需求、无人机(Unmanned Aerial Vehicle,UAV)传输功率等限制条件下,将信道分配、功率分配和计算资源联合分配问题建模为最小化系统时延和能耗的多目标优化问题。基于强化学习理论和多智能体马尔可夫决策过程,提出一种分布式Q学习通信-计算资源联合分配(Distributed Q-learning Communication and Computing joint Resources Allocation,DQ-CCRA)算法。该算法与现有算法相比,不仅能够降低人类型设备对物类型设备的干扰,还能有效减小系统时延和能耗,将系统总开销降低7.4%。展开更多
文摘There are always large-scale items in the maintenances schedule of aircraft system, many of which have been fixed to be done in predefined sequences, which leads the workflow to be sys-tematically complex and makes this kind of problem quite different from all sorts of existing job-selection modes. On the other hand, the human resources are always limited and men have different working capabilities on different items, which make the allocation operation of human resources be much roomy. However, the final total time span of maintenance is often required to be as short as possible in many practices, in order to suffer only the lowest cost of loss while the system is stopping. A new model for op-timizing the allocation if aircraft maintenance human resources with the constraint of predefined sequence is presented. The ge-netic algorithm is employed to find the optimal solution that holds the shortest total time span of maintenance. To generate the ul-timate maintenance work items and the human resource array, the sequences among all maintenance work items are considered firstly, the work item array is then generated through traversal with the constraint of maintenance sequence matrix, and the human resources are finally allocated according to the work item array with the constraint of the maintenance capability. An example is demonstrated to show that the model and algorithm behave a satisfying performance on finding the optimal solution as expected.
基金supported by National High Technology Research and Development Program of China (863 Program)(No. 2007AA010305)the Excellent Doctor Degree Dissertation Fund of Xi an University of Technology (No. 102-211007)
文摘Resource reconstruction algorithms are studied in this paper to solve the problem of resource on-demand allocation and improve the efficiency of resource utilization in virtual computing resource pool. Based on the idea of resource virtualization and the analysis of the resource status transition, the resource allocation process and the necessity of resource reconstruction are presented, l^esource reconstruction algorithms are designed to determine the resource reconstruction types, and it is shown that they can achieve the goal of resource on-demand allocation through three methodologies： resource combination, resource split, and resource random adjustment. The effects that the resource users have on the resource reconstruction results, the deviation between resources and requirements, and the uniformity of resource distribution are studied by three experiments. The experiments show that resource reconstruction has a close relationship with resource requirements, but it is not the same with current distribution of resources. The algorithms can complete the resource adjustment with a lower cost and form the logic resources to match the demands of resource users easily.
文摘目的通过对汕头市、区二级疾控中心的人力资源相关数据进行比较分析,了解疾控中心人力资源配置现状,为汕头市各级疾控中心人才资源配置及专业队伍建设提供参考。方法通过标准表格收集汕头市2022年12月—2023年5月1个市级和7个区(县)疾控中心的人力资源数据,采用描述性方法对疾控中心人员的性别、年龄、职称、学历学位和专业背景等情况进行分析。使用Excel和GraphP ad Prism软件进行数据统计及差异比较分析。结果汕头市、区二级疾控中心人员性别构成较均衡,男女比例分别为48.1%和51.9%,差异无统计学意义(χ^(2)=0.66,P=0.42)。市级疾控中心35岁以下人员占比较区(县)级CDC高(分别为35.5%和18.9%),二级疾控中心人员年龄构成差异有统计学意义(χ^(2)=16.68,P<0.001)。市级疾控中心人员学历以本科、硕士为主,占77.6%;但区(县)疾控中心职工学历严重失衡,以本科、大专为主,硕士人员比例仅为1.7%,二者学历构成差异有统计学意义(χ^(2)=87.43,P<0.001);市级疾控中心人员职称集中在中级、高级职称,占比为55.2%,无职称人员占比为10.3%;区(县)疾控中心人员职称主要集中在中、初级,占比为71.4%,无职称人员占比为21.0%,二者专业技术职称构成差异有统计学意义(χ^(2)=33.99,P<0.001);二级疾控中心职工专业背景均以卫生专业为主(77.4%),二者专业背景构成差异无统计学意义(χ^(2)=1.35,P=0.24)。结论汕头市、区二级疾控中心在编人员总量不足,其中区(县)疾控中心职工总体学历偏低,人才配置不平衡,高层次人才总体缺乏;当地政府应当重视疾控人才队伍建设,提高已有专业人员的专业水平,积极引进高层次人才,切实做好本市各级疾控中心的人力资源规划。
文摘目的探析国内外公立医院人力资源配置领域的研究情况、热点变迁及前沿趋势,为国内该领域研究方向提供参考借鉴。方法基于中国知网(CNKI)数据库和美国科学网(web of science,WOS),借助CiteSpace工具对国内外公立医院人力资源配置研究文献进行可视化分析,包括文献作者、机构、关键词的共现和聚类分析,以及突变度检测。结果纳入中文样本文献1417篇,外文981篇。国内该领域研究更注重医疗改革与管理、资源配置与分级诊疗、信息化与效能提升等主题,国外则更关注员工满意度、卫生系统与质量、工作环境与医务人员等主题。未来趋势方面,国内研究重点关注降本增效强化公立医院公益性视角,国外研究则开始探索政治概念在该领域发挥的作用。结论相较于国外,国内还需继续提高理论水平和本土化水平,不断拓展该领域研究外延,探寻学科交叉的可能性,向人工智能与自动化技术在医疗服务中的应用、异质性工作队伍管理、管理技术和创新应用研究方向探索。
文摘基于强化学习(Reinforcement Learning,RL),在保证用户服务质量(Quality of Service,QoS)的前提下,研究了人机物混合接入的异构网络中通信-计算资源联合分配算法。建立了一种新型人机物混合接入的异构网络拓扑结构。在最小服务质量需求、无人机(Unmanned Aerial Vehicle,UAV)传输功率等限制条件下,将信道分配、功率分配和计算资源联合分配问题建模为最小化系统时延和能耗的多目标优化问题。基于强化学习理论和多智能体马尔可夫决策过程,提出一种分布式Q学习通信-计算资源联合分配(Distributed Q-learning Communication and Computing joint Resources Allocation,DQ-CCRA)算法。该算法与现有算法相比,不仅能够降低人类型设备对物类型设备的干扰,还能有效减小系统时延和能耗,将系统总开销降低7.4%。
