目的研究健康人平衡任务期间的实时大脑活动,探索不同动态平衡任务、老化和相关脑区的相互关系。方法计算机检索PubMed、Cochrane Library、Web of Science、SciVerse ScienceDirect、Medline、Embase等数据库,检索时限为2010-01—2020...目的研究健康人平衡任务期间的实时大脑活动,探索不同动态平衡任务、老化和相关脑区的相互关系。方法计算机检索PubMed、Cochrane Library、Web of Science、SciVerse ScienceDirect、Medline、Embase等数据库,检索时限为2010-01—2020-01。由2名研究者按已制定的纳入标准和排除标准独立进行文献筛选、数据提取。结果最终纳入符合标准的文献14篇(n=372),采用感觉统合测试系统对自动动态平衡任务进行研究,当依靠前庭信息维持平衡时,颞上回(STG)、缘上回(SMG)激活;使用站立平衡任务研究自动动态平衡任务,发现辅助运动区(SMA)血氧饱和度上升。他动动态平衡任务中随干扰程度的增大,前额叶皮质(PFC)激活程度增大,当任务难度达到中等以后激活程度趋于平稳。在双重任务中,与年轻人相比,老年人平衡干扰较明显,前额叶皮质(PFC)较活跃。结论针对健康人群的平衡任务研究提示SMA、SMG、STG、PFC参与平衡的控制。展开更多
目的:研究感觉统合力量训练对老年人双任务动态平衡能力的影响。方法:39名老年人被随机分到控制组(C组)、普通力量训练组(ST组)和感觉统合力量训练组(SIST组)。C组进行日常活动,ST和SIST组受试者分别进行16周的ST和SIST训练,每周3次,每...目的:研究感觉统合力量训练对老年人双任务动态平衡能力的影响。方法:39名老年人被随机分到控制组(C组)、普通力量训练组(ST组)和感觉统合力量训练组(SIST组)。C组进行日常活动,ST和SIST组受试者分别进行16周的ST和SIST训练,每周3次,每次45min。3组同时在试验前、第8周、第16周进行双任务动态平衡能力测试和等速力量测试。测试指标包括DT(dual-task)10m行走时间、DT-TUGT(dualtask-time up and go test),膝关节(60°/s)屈、伸肌峰力矩(PT)、屈/伸肌力比(H/Q)。结果:在训练第8周和第16周时,同C组相比,ST、SIST组膝关节(60°/s)屈、伸PT都出现显著性差异(P<0.01)。但两组间PT值均无显著性差异(P>0.05)。H/Q随着训练时间逐渐集中,至第16周时2组都已经相对集中,且与ST组相比,SIST组的H/Q更加集中。在训练第8周时,ST和SIST组DT-10m行走时间和DT-TUGT测试结果明显减少,且2组趋势相似。同C组相比,都具有显著性差异(P<0.01)。但2组之间相比,没有显著性差异(P>0.05)。而训练到第16周时,同C组相比,都具有显著性差异(P<0.01)。 2组之间相比,出现了显著性差异(P<0.01)。结论:ST和SIST都能提高老年人双任务动态平衡能力,而SIST干预效果优于ST。其原因是对训练对老年人认知功能也起到了促进作用。与传统的身体单任务练习相比,被试更有兴趣参与SIST练习。展开更多
This paper focuses on solving a problem of improving system robustness and the efficiency of a distributed system at the same time. Fault tolerance with active replication and load balancing techniques are used. The p...This paper focuses on solving a problem of improving system robustness and the efficiency of a distributed system at the same time. Fault tolerance with active replication and load balancing techniques are used. The pros and cons of both techniques are analyzed, and a novel load balancing framework for fault tolerant systems with active replication is presented. Hierarchical architecture is described in detail. The framework can dynamically adjust fault tolerant groups and their memberships with respect to system loads. Three potential task scheduler group selection methods are proposed and simulation tests are made. Further analysis of test data is done and helpful observations for system design are also pointed out, including effects of task arrival intensity and task set size, relationship between total task execution time and single task execution time.展开更多
In order to balancing based on data achieve dynamic load flow level, in this paper, we apply SDN technology to the cloud data center, and propose a dynamic load balancing method of cloud center based on SDN. The appro...In order to balancing based on data achieve dynamic load flow level, in this paper, we apply SDN technology to the cloud data center, and propose a dynamic load balancing method of cloud center based on SDN. The approach of using the SDN technology in the current task scheduling flexibility, accomplish real-time monitoring of the service node flow and load condition by the OpenFlow protocol. When the load of system is imbalanced, the controller can allocate globally network resources. What＇s more, by using dynamic correction, the load of the system is not obvious tilt in the long run. The results of simulation show that this approach can realize and ensure that the load will not tilt over a long period of time, and improve the system throughput.展开更多
文摘目的研究健康人平衡任务期间的实时大脑活动,探索不同动态平衡任务、老化和相关脑区的相互关系。方法计算机检索PubMed、Cochrane Library、Web of Science、SciVerse ScienceDirect、Medline、Embase等数据库,检索时限为2010-01—2020-01。由2名研究者按已制定的纳入标准和排除标准独立进行文献筛选、数据提取。结果最终纳入符合标准的文献14篇(n=372),采用感觉统合测试系统对自动动态平衡任务进行研究,当依靠前庭信息维持平衡时,颞上回(STG)、缘上回(SMG)激活;使用站立平衡任务研究自动动态平衡任务,发现辅助运动区(SMA)血氧饱和度上升。他动动态平衡任务中随干扰程度的增大,前额叶皮质(PFC)激活程度增大,当任务难度达到中等以后激活程度趋于平稳。在双重任务中,与年轻人相比,老年人平衡干扰较明显,前额叶皮质(PFC)较活跃。结论针对健康人群的平衡任务研究提示SMA、SMG、STG、PFC参与平衡的控制。
文摘目的:研究感觉统合力量训练对老年人双任务动态平衡能力的影响。方法:39名老年人被随机分到控制组(C组)、普通力量训练组(ST组)和感觉统合力量训练组(SIST组)。C组进行日常活动,ST和SIST组受试者分别进行16周的ST和SIST训练,每周3次,每次45min。3组同时在试验前、第8周、第16周进行双任务动态平衡能力测试和等速力量测试。测试指标包括DT(dual-task)10m行走时间、DT-TUGT(dualtask-time up and go test),膝关节(60°/s)屈、伸肌峰力矩(PT)、屈/伸肌力比(H/Q)。结果:在训练第8周和第16周时,同C组相比,ST、SIST组膝关节(60°/s)屈、伸PT都出现显著性差异(P<0.01)。但两组间PT值均无显著性差异(P>0.05)。H/Q随着训练时间逐渐集中,至第16周时2组都已经相对集中,且与ST组相比,SIST组的H/Q更加集中。在训练第8周时,ST和SIST组DT-10m行走时间和DT-TUGT测试结果明显减少,且2组趋势相似。同C组相比,都具有显著性差异(P<0.01)。但2组之间相比,没有显著性差异(P>0.05)。而训练到第16周时,同C组相比,都具有显著性差异(P<0.01)。 2组之间相比,出现了显著性差异(P<0.01)。结论:ST和SIST都能提高老年人双任务动态平衡能力,而SIST干预效果优于ST。其原因是对训练对老年人认知功能也起到了促进作用。与传统的身体单任务练习相比,被试更有兴趣参与SIST练习。
文摘This paper focuses on solving a problem of improving system robustness and the efficiency of a distributed system at the same time. Fault tolerance with active replication and load balancing techniques are used. The pros and cons of both techniques are analyzed, and a novel load balancing framework for fault tolerant systems with active replication is presented. Hierarchical architecture is described in detail. The framework can dynamically adjust fault tolerant groups and their memberships with respect to system loads. Three potential task scheduler group selection methods are proposed and simulation tests are made. Further analysis of test data is done and helpful observations for system design are also pointed out, including effects of task arrival intensity and task set size, relationship between total task execution time and single task execution time.
文摘与通用目标检测不同,无人机(Unmanned Aerial Vehicle,UAV)航拍图像目标检测主要面临两个难题:(1)远距离观察下存在大量小尺寸目标,难以与背景区分;(2)大量区域中目标密集且存在严重遮挡.因此,将通用目标检测器直接应用于航拍图像会导致检测精度下降.本文提出一种聚焦小目标的航拍图像目标检测算法(Focusing on Small objects Detector in aerial images,FocSDet).针对小目标,通过密集高级组合(Dense Higher-Level Composition,DHLC)模式连接双Swin-Transfomer骨干网络,并和特征金字塔(Feature Pyramid Networks,FPN)结合,构建小目标特征聚合网络作为FocSDet的骨干网络,可丰富单层特征表达并提升对图像全局信息的利用,在不损失大目标语义信息的同时得到对小目标更好的特征描述,有效提升了小目标检测能力;针对区域密集遮挡,提出任务平衡样本分配策略,区别于现有样本分配策略只依赖定位位置,本文所提出的策略中样本匹配质量评价分数由定位位置信息和预测分类分数共同构成.基于该新评价分数不断迭代更新样本分配和监督网络优化,取得了更高质量的预测结果.最后,在检测头的分类和回归分支中引入层注意力构成增强检测头,进一步提升了小目标的检测性能.在Visdrone无人机数据集、CARPK航拍数据集上的实验表明,本文提出的FocSDet相较于现有方法ATSS和VFNET,在Visdrone上平均精度(Average Precision,AP)分别提升2%和0.6%,小目标APs分别提升2.6%和1.2%;在CARPK上AP分别提升2.2%和1.7%,小目标APs分别提升5.2%和5.0%.
基金supported by the National Natural Science Foundation of China(No.61163058No.61201250 and No.61363006)Guangxi Key Laboratory of Trusted Software(No.KX201306)
文摘In order to balancing based on data achieve dynamic load flow level, in this paper, we apply SDN technology to the cloud data center, and propose a dynamic load balancing method of cloud center based on SDN. The approach of using the SDN technology in the current task scheduling flexibility, accomplish real-time monitoring of the service node flow and load condition by the OpenFlow protocol. When the load of system is imbalanced, the controller can allocate globally network resources. What＇s more, by using dynamic correction, the load of the system is not obvious tilt in the long run. The results of simulation show that this approach can realize and ensure that the load will not tilt over a long period of time, and improve the system throughput.
