Large cities suffer from traffic congestion,particularly at intersections,due to a large number of vehicles,which leads to the loss of time by increasing carbon emissions,including fuel consumption.Therefore,the need ...Large cities suffer from traffic congestion,particularly at intersections,due to a large number of vehicles,which leads to the loss of time by increasing carbon emissions,including fuel consumption.Therefore,the need for optimising the flow of vehicles at different intersections and reducing the waiting time is a critical challenge.Conventional traffic lights have been used to control traffic flow at different intersections and have been improved to become more efficient by using different algorithms,sensors and cameras.However,they also face some challenges,such as high-cost installation,operation,and maintenance issues.This paper develops a new system based on the Virtual Traffic Light(VTL)technology to improve traffic flow at different intersections and reduce the encountered loss of time and vehicles’travel time.Additionally,it reduces the costs of installation,maintenance and operation over various conventional traffic light systems.Consequently,the system proposes algorithms for traffic scheduling and lane identification by using vehicle ID,priority and time of arrival.To evaluate the system,four scenarios were presented where each scenario uses a different number of vehicles consisting of three types(emergency vehicles,public buses and private vehicles),each given a different priority.The proposed system is evaluated by integrating two simulators,namely,(OMNeT++)and(SUMO),and two frameworks,namely,(VEINS)and(INET)to prepare an appropriate working environment.the results prove that an improvement in the average travel time for several vehicles reaches 44.43%–49.76%compared with conventional traffic lights.Further,it is proven from the obtained results that the average waiting time for emergency vehicles is enhanced by 96.63%–97.63%,while the average waiting time for public buses is improved by 94.81%–97.23%.On the other hand,the waiting time for private vehicles‘improved by 87.14%to 89.71%’.展开更多
早期活动对于重症监护病房(Intensive Care Unit,ICU)患者康复至关重要,虚拟现实技术作为一种新兴的治疗手段,逐渐应用于ICU患者的早期活动中,为ICU患者的早期活动提供了新的选择。文章旨在综述虚拟现实技术在ICU患者早期活动中的应用...早期活动对于重症监护病房(Intensive Care Unit,ICU)患者康复至关重要,虚拟现实技术作为一种新兴的治疗手段,逐渐应用于ICU患者的早期活动中,为ICU患者的早期活动提供了新的选择。文章旨在综述虚拟现实技术在ICU患者早期活动中的应用研究进展,并重点关注其在护理方面的应用,阐述现存的问题及发展前景,旨在为医护人员充分利用虚拟现实技术对ICU患者进行早期活动训练提供新的视角和参考。展开更多
新能源并网比例的不断攀升降低了电力系统惯量,导致系统调频能力下降。为此,开展了储能参与调频的研究。储能参与调频受到单元数量、荷电状态(state of charge,SOC)、充放电策略等因素影响,提出一种考虑频率死区的储能单元协同控制策略...新能源并网比例的不断攀升降低了电力系统惯量,导致系统调频能力下降。为此,开展了储能参与调频的研究。储能参与调频受到单元数量、荷电状态(state of charge,SOC)、充放电策略等因素影响,提出一种考虑频率死区的储能单元协同控制策略,根据SOC一致性对储能单元进行分组,不同组别单独执行下垂控制或虚拟惯量控制,简化出力控制指令。依据系统频率偏差或频率变化率进行控制指令切换,并分别设置频率偏差和频率变化率死区,以减少小扰动干扰导致储能系统频率充放电。基于Matlab/Simulink进行仿真验证,结果表明:所提控制策略简单便于执行,能够快速响应调频需求,并且能保证储能电池使用寿命。展开更多
目的探索数字孪生技术驱动的心胸外科重症监护室(Cardiothoracic Intensive Care Unit,CTICU)智能管理系统的设计与应用成效。方法提取CTICU的系统因素,设计业务逻辑模型;搭建CTICU现实世界物理空间和虚拟世界数字空间的双向数据传输通...目的探索数字孪生技术驱动的心胸外科重症监护室(Cardiothoracic Intensive Care Unit,CTICU)智能管理系统的设计与应用成效。方法提取CTICU的系统因素,设计业务逻辑模型;搭建CTICU现实世界物理空间和虚拟世界数字空间的双向数据传输通道,完成系统架构设计,并实现管理中台、远程监护和远程探视等功能。系统构建期间,设计数据库集成测试评价系统的性能。对本院部分CTICU病区的医护人员及患者以模拟演示或试运行的方式展示数字孪生系统的各个功能,将该类对象作为观察组,其余医护人员及患者作为对照组,通过自制问卷的方式调研CTICU服务质量并进行差异分析。结果集成测试表明,系统在不同吞吐量下的性能均满足使用要求。问卷结果显示,在5个测量指标上观察组的平均得分均显著高于对照组,且差异有统计学意义(P<0.01)。结论数字孪生技术驱动的CTICU智能管理系统具有可行性,能够提升护理服务质量。展开更多
文摘Large cities suffer from traffic congestion,particularly at intersections,due to a large number of vehicles,which leads to the loss of time by increasing carbon emissions,including fuel consumption.Therefore,the need for optimising the flow of vehicles at different intersections and reducing the waiting time is a critical challenge.Conventional traffic lights have been used to control traffic flow at different intersections and have been improved to become more efficient by using different algorithms,sensors and cameras.However,they also face some challenges,such as high-cost installation,operation,and maintenance issues.This paper develops a new system based on the Virtual Traffic Light(VTL)technology to improve traffic flow at different intersections and reduce the encountered loss of time and vehicles’travel time.Additionally,it reduces the costs of installation,maintenance and operation over various conventional traffic light systems.Consequently,the system proposes algorithms for traffic scheduling and lane identification by using vehicle ID,priority and time of arrival.To evaluate the system,four scenarios were presented where each scenario uses a different number of vehicles consisting of three types(emergency vehicles,public buses and private vehicles),each given a different priority.The proposed system is evaluated by integrating two simulators,namely,(OMNeT++)and(SUMO),and two frameworks,namely,(VEINS)and(INET)to prepare an appropriate working environment.the results prove that an improvement in the average travel time for several vehicles reaches 44.43%–49.76%compared with conventional traffic lights.Further,it is proven from the obtained results that the average waiting time for emergency vehicles is enhanced by 96.63%–97.63%,while the average waiting time for public buses is improved by 94.81%–97.23%.On the other hand,the waiting time for private vehicles‘improved by 87.14%to 89.71%’.
文摘早期活动对于重症监护病房(Intensive Care Unit,ICU)患者康复至关重要,虚拟现实技术作为一种新兴的治疗手段,逐渐应用于ICU患者的早期活动中,为ICU患者的早期活动提供了新的选择。文章旨在综述虚拟现实技术在ICU患者早期活动中的应用研究进展,并重点关注其在护理方面的应用,阐述现存的问题及发展前景,旨在为医护人员充分利用虚拟现实技术对ICU患者进行早期活动训练提供新的视角和参考。
文摘新能源并网比例的不断攀升降低了电力系统惯量,导致系统调频能力下降。为此,开展了储能参与调频的研究。储能参与调频受到单元数量、荷电状态(state of charge,SOC)、充放电策略等因素影响,提出一种考虑频率死区的储能单元协同控制策略,根据SOC一致性对储能单元进行分组,不同组别单独执行下垂控制或虚拟惯量控制,简化出力控制指令。依据系统频率偏差或频率变化率进行控制指令切换,并分别设置频率偏差和频率变化率死区,以减少小扰动干扰导致储能系统频率充放电。基于Matlab/Simulink进行仿真验证,结果表明:所提控制策略简单便于执行,能够快速响应调频需求,并且能保证储能电池使用寿命。
文摘目的探索数字孪生技术驱动的心胸外科重症监护室(Cardiothoracic Intensive Care Unit,CTICU)智能管理系统的设计与应用成效。方法提取CTICU的系统因素,设计业务逻辑模型;搭建CTICU现实世界物理空间和虚拟世界数字空间的双向数据传输通道,完成系统架构设计,并实现管理中台、远程监护和远程探视等功能。系统构建期间,设计数据库集成测试评价系统的性能。对本院部分CTICU病区的医护人员及患者以模拟演示或试运行的方式展示数字孪生系统的各个功能,将该类对象作为观察组,其余医护人员及患者作为对照组,通过自制问卷的方式调研CTICU服务质量并进行差异分析。结果集成测试表明,系统在不同吞吐量下的性能均满足使用要求。问卷结果显示,在5个测量指标上观察组的平均得分均显著高于对照组,且差异有统计学意义(P<0.01)。结论数字孪生技术驱动的CTICU智能管理系统具有可行性,能够提升护理服务质量。
