韩丽婷,呼德,姚海霞

• 1:内蒙古医科大学

摘要(Abstract)：

针对现有的人体运动能力在线评估系统一直存在评估效果差、性能低的问题,提出并设计基于复杂网络的运动能力在线评估系统。通过框架结构设计与评估子系统设计,完成系统的硬件搭建。在软件设计过程中,主要通过对运动评估界限及运动信息库进行设计,并给出整体结构分析情况,结合软硬件部分,完成人体运动能力在线评估系统的设计。实验结果表明,上述系统对于人体运动能力评估的准确性明显高于传统评估系统,且其评估效果较好、性能较高,具有一定的优势。

关键词(KeyWords)： 复杂网络;人体运动;运动能力;在线评估系统;运动评估;运动信息库

Abstract:

Keywords:

基金项目(Foundation): 内蒙古医科大学项目(NYJXGG2017052)~~

作者(Author): 韩丽婷,呼德,姚海霞

DOI: 10.16652/j.issn.1004-373x.2018.02.029

参考文献(References)：

• [1]刘志刚,任达.基于复杂网络的创业板指数动力学特征分析[J].武汉理工大学学报(信息与管理工程版),2015,17(2):224-227.LIU Zhigang,REN Da.Dynamic characteristics analysis on growth enterprises index based on complex network[J].Journal of Wuhan University of Technology(Information&Management Engineering),2015,17(2):224-227.
• [2]阎高伟,张梦蓓,程永强,等.基于复杂网络的自动化专业知识体系分析[J].电气电子教学学报,2016,38(4):1-5.YAN Gaowei,ZHANG Mengbei,CHENG Yongqiang,et al.Analysis of automation discipline knowledge system based on complex network[J].Journal of electrical&electronic education,2016,38(4):1-5.
• [3]李永奎,庞达,李东宇,等.基于元网络的项目组织学习能力对任务完成影响评价仿真方法[J].系统工程理论与实践,2016,36(5):1252-1260.LI Yongkui,PANG Da,LI Dongyu,et al.Meta-network simulation to evaluate the effect of project organization learning ability on task completion[J].Systems engineering—theory&practice,2016,36(5):1252-1260.
• [4]朱晓静,林元乖.基于虚拟化实验环境的网络信息安全课程的实践教学改革[J].琼州学院学报,2015,22(5):120-124.ZHU Xiaojing,LIN Yuanguai.Practical teaching reform for the course of network information security based on the virtual experiment environment[J].Journal of Qiongzhou University,2015,22(5):120-124.
• [5]雷亚国,贾峰,周昕,等.基于深度学习理论的机械装备大数据健康监测方法[J].机械工程学报,2015,51(21):49-56.LEI Yaguo,JIA Feng,ZHOU Xin,et al.A deep learningbased method for machinery health monitoring with big data[J].Journal of mechanical engineering,2015,51(21):49-56.
• [6]邓波,陆颖隽,王如志.一种基于CRO的高阶神经网络多示例学习方法[J].计算机科学,2017,44(3):264-267.DENG Bo,LU Yingjun,WANG Ruzhi.Multiple-instance learning method based on CRO high order neural networks[J].Computer science,2017,44(3):264-267.
• [7]吴瑀倩,李静,吴晓舟,等.基于深度信念网络的民航发动机状态监测[J].计算机测量与控制,2017,25(7):28-31.WU Yuqian,LI Jing,WU Xiaozhou,et al.Civil aviation engine health condition monitoring based on DBN deep learning theory[J].Computer measurement&control,2017,25(7):28-31.
• [8]韩书键,孔辉,顾永环.基于复杂网络的电子对抗情报保障效能评估指标体系[J].国防科技,2015,36(2):38-42.HAN Shujian,KONG Hui,GU Yonghuan.Index system of electronic countermeasure intelligence assurance system effect evaluation based on complex network[J].National defense science&technology,2015,36(2):38-42.
• [9]吴辉,彭敏放,张海艳,等.基于复杂网络理论的配电网节点脆弱度评估[J].复杂系统与复杂性科学,2017,14(1):38-45.WU Hui,PENG Minfang,ZHANG Haiyan,et al.Node vulnerability assessment for distribution network based on complex network theory[J].Complex systems and complexity science,2017,14(1):38-45.
• [10]郑文强,陈云翔,庄骏,等.基于复杂网络理论的航材配送网络抗毁性分析[J].火力与指挥控制,2015(2):128-132.ZHENG Wenqiang,CHEN Yunxiang,ZHUANG Jun.Invulnerability analysis of aircraft material distribution network based on complex network theory[J].Fire control&command control,2015(2):128-132.