分级视角下残疾人冬季两项运动的关键竞技特征分析     

王润极  徐亮  阎守扶  吴昊 《首都体育学院学报》2020,(2):178-185

残疾人冬季两项项目竞技特征的理论研究薄弱和对残疾分级体系的认知模糊是影响我国残疾人冬季两项项目发展的关键问题。基于残疾分级视角,对有关残疾人冬季两项项目竞技特征的文献进行梳理与分析,认为:1)可通过加强我国冬季两项残疾人运动员运动技术的时效性和经济性练习,提升冬季两项残疾人运动员滑雪技术的动态平衡能力和滑行过程中的有氧代谢供能水平。2)在进行射击项目训练时,通过增加脱敏训练和电子激光靶系统训练等专项训练加强我国冬季两项残疾人运动员的射击技术稳定性和动作控制准确性。3)残疾人冬季两项竞技运动要求运动员具备良好的中枢神经系统调节能力,以最短时间激活副交感神经降低心率来提高动静转换效率,通过体能分配与技术运用等专项训练来全面提高冬季两项残疾人运动员的快速应变能力。4)冬季两项专项训练还需通过兼顾与整合2个小项相结合的训练方法来提升训练的整体效果。5)同一残疾分级的坐式运动员的不同坐姿对身体关键发力部位的肌肉募集有一定影响,在规则允许范围内,通过外部辅助和内部增强技术优化运动员竞技能力结构是冬季两项残疾人运动员达到国际水平的关键。  相似文献   

基于神经网络的认知无线电合作频谱感知     

薛建伟  唐亮  卜智勇 《中国科学院大学学报》2020,37(3):379-386

认知无线电是一种可用于有效缓解当前频谱资源紧张的技术，而频谱感知是认知无线电的前提。针对低信噪比情况下频谱感知性能差的问题，提出一种将信号高阶统计量、协方差矩阵特征值与神经网络相结合的合作频谱感知算法。该算法考虑到认知用户与授权用户的信道衰落情况，利用神经网络较强的多分类能力，将最大-最小特征值之比、平均-最小特征值之比以及高阶统计量作为特征参数，通过神经网络实现合作频谱感知。仿真结果表明，该算法不仅在低信噪比情况下较其他算法具有更高的频谱检测率，而且对频谱中信号的调制类型也有较高的识别率。  相似文献   

“互联网+”背景下大学生心理健康教育的“心”路径     

刘路  张远芝  何国珍  向阳  胡庆政 《包头职业技术学院学报》2020,(1):84-88

文章针对高校心理健康教育课程教学设置学时少,无法满足大学生心理健康持续发展的“心”需要的问题,讨论了如何充分发挥新媒体的功能与特性,使新媒体能够成为大学生心理健康教育的“心”出路,开启网络心理健康教育的“心”时代。  相似文献   

我国冰雪文化消费空间的构建及其发展路径     

司亮  萧林静  陈淼  程文广 《沈阳体育学院学报》2020,(1):94-100,109

国务院印发《完善促进消费体制机制实施方案(2018-2020年)》文件中指出"积极培育‘冰雪运动’体育消费新业态"。在此背景下,立足于消费空间视角,以冰雪文化成为空间消费品为切入点,针对我国冰雪文化消费不足的问题,提出了冰雪文化消费空间的概念。研究发现,冰雪文化消费空间不仅具有经济、社会、文化的内涵特征,而且其体验化、商业化、休闲化、娱乐化的典型特征与文化艺术化、信息网络化、全球国际化的非消费要素相互共存,在空间消费活动中逐渐构建成宏观、中观、微观层面的空间体系。最终,在空间生产语境中,基于"生产-消费"的逻辑,提出了将冰雪文化消费空间正式纳入"生产-分配-交换-消费"的过程追求再生产的发展路径。  相似文献   

可持续发展视角下全民健身服务体系的内涵解析     

梁法泽  聂瑞莲  侯玉灵 《体育科技文献通报》2020,(1):10-12

本文以可持续发展为视角,阐述了可持续发展视角下全民健身服务体系内涵。利用文献资料法、实地考察法及专家访谈法,对可持续发展视角下全民健身服务体系发展现状进行了简单分析。进一步探究了可持续发展视角下全民健身服务体系建设路径,以期为可持续发展视角下全民健身服务体系建设提供有效的借鉴。  相似文献   

普通高校大学生形体礼仪课程实践与研究     

胡晓华  李欣  范莉莉  董菲 《体育科技文献通报》2020,(6):86-86,114

利用体育教育自身所承载的文化内涵及其独有的实践特征,整合资源,优化课程,将过去不同学科的形体训练与大学生形体礼仪、行为规范教育有机的容为一体。开设大学生形体礼仪课,指导大学生在塑造健康匀称,曲线、姿态优美,气质高雅的外部形态的同时按照社交礼仪规范来约束自己行为,真正做到“诚于中而行于外,慧于心而秀于言”,把内、外美有机地统一起来。为全面提升大学生素质教育开辟新的渠道。  相似文献   

Bio-inspired untethered fully soft robots in liquid actuated by induced energy gradients     

Liang Xiong Lyu  Fen Li  Kang Wu  Pan Deng  Seung Hee Jeong  Zhigang Wu  Han Ding 《国家科学评论(英文版)》2019,6(5):970

Soft robotics with new designs, fabrication technologies and control strategies inspired by nature have been totally changing our view on robotics. To fully exploit their potential in practical applications, untethered designs are preferred in implementation. However, hindered by the limited thermal/mechanical performance of soft materials, it has been always challenging for researchers to implement untethered solutions, which generally involve rigid forms of high energy-density power sources or high energy-density processes. A number of insects in nature, such as rove beetles, can gain a burst of kinetic energy from the induced surface-energy gradient on water to return to their familiar habitats, which is generally known as Marangoni propulsion. Inspired by such a behavior, we report the agile untethered mobility of a fully soft robot in liquid based on induced energy gradients and also develop corresponding fabrication and maneuvering strategies. The robot can reach a speed of 5.5 body lengths per second, which is 7-fold more than the best reported, 0.69 (body length per second), in the previous work on untethered soft robots in liquid by far. Further controlling the robots, we demonstrate a soft-robot swarm that can approach a target simultaneously to assure a hit with high accuracy. Without employing any high energy-density power sources or processes, our robot exhibits many attractive merits, such as quietness, no mechanical wear, no thermal fatigue, invisibility and ease of robot fabrication, which may potentially impact many fields in the future.  相似文献   

唐诗知识图谱的构建及其智能知识服务设计   总被引：2，自引：0，他引：2  

周莉娜  洪亮  高子阳 《图书情报工作》2019,63(2):24-33

[目的/意义]立足于当前大数据环境下的唐诗知识服务需求，以大规模唐诗数据为基础构建唐诗知识图谱并提供智能知识服务，推动人工智能环境下唐诗知识管理和知识服务方式的创新。[方法/过程]本文在对领域知识服务需求调研的基础上，设计领域知识服务驱动的唐诗本体模型，然后利用从Web上爬取的多源异构数据，采用知识抽取、知识融合、知识推理等技术自动构建唐诗知识图谱，统一表示和组织唐诗领域数据，实现对大规模唐诗数据的语义化处理。[结果/结论]本文设计基于唐诗知识图谱的智能知识服务平台KnowPoetry，提供唐诗领域的知识探索、时空轨迹、语义查询等智能化知识服务，推动人工智能环境下唐诗数字人文研究方法的创新转型。  相似文献   

Understanding the topic evolution of scientific literatures like an evolving city: Using Google Word2Vec model and spatial autocorrelation analysis     

Kai Hu  Qing Luo  Kunlun Qi  Siluo Yang  Jin Mao  Xiaokang Fu  Jie Zheng  Huayi Wu  Ya Guo  Qibing Zhu 《Information processing & management》2019,56(4):1185-1203

Topic evolution has been described by many approaches from a macro level to a detail level, by extracting topic dynamics from text in literature and other media types. However, why the evolution happens is less studied. In this paper, we focus on whether and how the keyword semantics can invoke or affect the topic evolution. We assume that the semantic relatedness among the keywords can affect topic popularity during literature surveying and citing process, thus invoking evolution. However, the assumption is needed to be confirmed in an approach that fully considers the semantic interactions among topics. Traditional topic evolution analyses in scientometric domains cannot provide such support because of using limited semantic meanings. To address this problem, we apply the Google Word2Vec, a deep learning language model, to enhance the keywords with more complete semantic information. We further develop the semantic space as an urban geographic space. We analyze the topic evolution geographically using the measures of spatial autocorrelation, as if keywords are the changing lands in an evolving city. The keyword citations (keyword citation counts one when the paper containing this keyword obtains a citation) are used as an indicator of keyword popularity. Using the bibliographical datasets of the geographical natural hazard field, experimental results demonstrate that in some local areas, the popularity of keywords is affecting that of the surrounding keywords. However, there are no significant impacts on the evolution of all keywords. The spatial autocorrelation analysis identifies the interaction patterns (including High-High leading, High-Low suppressing) among the keywords in local areas. This approach can be regarded as an analyzing framework borrowed from geospatial modeling. Moreover, the prediction results in local areas are demonstrated to be more accurate if considering the spatial autocorrelations.  相似文献   

我国赛艇运动员专项知觉运动技能研究     

祝〓捷  陈彦端  胡〓月 《广州体育学院学报》2020,(1):102-108

通过问卷调查对全国13个省市476名赛艇运动员的专项知觉运动技能现状进行分析。结果发现:我国赛艇运动员的专项知觉运动技能总体水平较好,其中自身体能状态知觉运动技能水平最高,艇音知觉运动技能水平最低;男性运动员的艇平衡知觉运动技能和划桨动作状态、桨力状态知觉运动技能高于女性;大学及以上学历运动员、健将级运动员的专项知觉技能普遍优于其他学历水平和运动等级的运动员。  相似文献