打造现代化消防铁军比武竞赛400米疏散物资运动训练学特点分析

400米疏散物资项目是在400米训练的基础上，供能形式在无氧乳酸域供能的基础上，对磷酸一ATP供能也有很高的要求。400米疏散物资救人项目不仅需要较好的相对力量，也需要较好的绝对力量，同时对运动员速度素质以及技、战术亦有很高的要求，运动员在平时科学训练体能、技战术的基础上，还需要对运动员的心理素质进行一定的训练。运动员选材应该朝着身材高大化发展，该项目运动成绩会逐步提升。     

如何把握好少年铁饼运动员的基础训练

大力加强优秀运动员后备人才的培养是各国建成世界体育强国的一项战略措施.在全程性多年训练计划中,基础训练作为运动员训练的首要环节,必须要打好、打牢这一阶段的根基,这对于运动员在今后获得优异的运动成绩有着重要的推进作用.本文从生理学和训练学方面针对少年铁饼运动员的基础训练提出适宜训练方案,以建立适合少年铁饼运动员基础训练的理论研究.     

长跑运动员的力量训练计划与方法

力量训练在长跑运动训练中占有相当重要的地位,它是运动员通往冠军之路所必须完成的重要的一课,只有具备良好力量素质的长跑选手,才有可能使其运动技能更为完美,才有可能获得最佳的运动成绩。然而大多数的长跑教练对其运动员的力量训练问题没有引起足够的重视,在训练计划、时间及内容上的安排上均不及其它田径选手,训练中缺乏力量训练的动力。为此本文根据长跑训练的实际。就长跑运动员的力量训练计划阐述如下：     

浅谈篮球运动员的心理-pII练

心理训练是以运动心理学理论为科学依据,有目的、有意识地对运动员心理施加影响,并采用一定的方法和手段,使运动员形成良好的心理状态的过程。篮球运动的心理训练是在训练过程中,以篮球运动的规律和特点、运动员白勺类型、应具有的个性心理特征以及社会对运动员的心理影响为其依据。着眼点是提高运动员的竞技能力,使之达到最佳表现水平。     

浅谈篮球运动员的心理训练

心理训练是以运动心理学理论为科学依据,有目的、有意识地对运动员心理施加影响,并采用一定的方法和手段,使运动员形成良好的心理状态的过程.篮球运动的心理训练是在训练过程中,以篮球运动的规律和特点、运动员的类型、应具有的个性心理特征以及社会对运动员的心理影响为其依据.着眼点是提高运动员的竞技能力,使之达到最佳表现水平.     

教练员应研究自身心理

现代运动训练中心,心理训练愈来愈受到重视,事实也证明有效的心理训练,对运动员成绩的提高和比赛的发挥有着突出的作用,心理训练是推动我国科学训练的好势头,一定会在我国运动训练史上写下新的篇章。     

体能训练对预防田径运动损伤的作用及措施

运动员体能发展水平是由其身体形态,生理机能及运动素质的发展状况所决定的。通过体能训练,可以有效的提高运动员的竞技能力,同时可以防治伤病。体能训练突出对人体各器官和机能系统的超负荷适应训练,旨在产生体能和心理适应,以达到挖掘机能潜力,提高整体运动能力和培养顽强拼搏精神的目的。本论文探讨了体能训练对于预防田径运动损伤的作用及具体的训练措施。     

试析专项力量训练对掷铁饼运动成绩的影响

掷铁饼是一项速度力量型运动项目,其专项力量训练日益受到人们的重视。通过查阅文献,阐述了发展铁饼运动员专项力量的重要性,提出了进行专项力量训练的注意事项;研究发现专项投和弹跳力练习对铁饼运动员运动成绩有重要作用。     

谈射击运动员竞赛时的心理准备和调节

射击是一项静力性、个人间接对抗性强的运动。其特点是以自我感觉为调节。受周围气氛和特定环境条件的影响，对运动员的心理承受能力和自我控制能力要求极高。良好的心理状态，能有助于运动员技能的发挥，不良的心理状态，会对运动员技能的发挥造成一定的心理障碍。在竞赛之前，运动员如何排除外界条件对运动员的干扰，调节好心理机能，认真细致地做好心理准备，对于能否正常发挥运动员水平，取得理想的效果，有着举足轻重的作用。     

浅谈短跑运动员身体素质训练方法

现代运动训练的一个十分重要的特点是训练方法,手段和训练方式越来越多样化。短跑运动员的身体素质的训练也是越来越多样化,短跑运动员提高运动成绩的途径之一是提高身体训练水平。,提高身体索质的训练水平是短跑运动员提高运动成绩的基本途径。短跑运动员身体素质的训练内容主要包括短跑的力量、速度、速度耐力、柔韧、跳跃和协调性等训练。     

The effect of model uncertainty on cooperation in sensorimotor interactions

Decision-makers have been shown to rely on probabilistic models for perception and action. However, these models can be incorrect or partially wrong in which case the decision-maker has to cope with model uncertainty. Model uncertainty has recently also been shown to be an important determinant of sensorimotor behaviour in humans that can lead to risk-sensitive deviations from Bayes optimal behaviour towards worst-case or best-case outcomes. Here, we investigate the effect of model uncertainty on cooperation in sensorimotor interactions similar to the stag-hunt game, where players develop models about the other player and decide between a pay-off-dominant cooperative solution and a risk-dominant, non-cooperative solution. In simulations, we show that players who allow for optimistic deviations from their opponent model are much more likely to converge to cooperative outcomes. We also implemented this agent model in a virtual reality environment, and let human subjects play against a virtual player. In this game, subjects'' pay-offs were experienced as forces opposing their movements. During the experiment, we manipulated the risk sensitivity of the computer player and observed human responses. We found not only that humans adaptively changed their level of cooperation depending on the risk sensitivity of the computer player but also that their initial play exhibited characteristic risk-sensitive biases. Our results suggest that model uncertainty is an important determinant of cooperation in two-player sensorimotor interactions.     

Cost allocation in inventory pools of spare parts with service-differentiated demand classes

Holding inventory of spare parts is critical to assure safety and production. In order to save costs, different producers may collaborate through an inventory pool. We consider an inventory pool of spare parts, subject to a service level constraint, where the members of the pool may have different target service levels, so that they represent different demand classes. The pool is implemented either by round-up or rationing policies. The members should agree on how to share the costs. Based on cooperative game theory concepts, we show the important effects that different targets can have in the core stability for this problem. We perform a computational study in a large number of instances, providing insights on the emptiness of the core and the performance of seven allocation methods. We also propose the novel Minimum Deviation from Service Level Referential Cost Method (MIND). This method looks for a stable allocation such that the maximum difference between a cost allocated to a player and its service level referential cost is minimised. The MIND allocation is the solution to a linear programming model and is core guaranteed, in the sense that if the core is not empty, the allocation belongs to the core.     

实时游戏中网络延迟对体验质量的影响

网络实时游戏已成为一种新的娱乐热点.该文以网络版的气球爆破游戏为例,对影响实时游戏体验质量(QoE)的主观和客观因素进行分析.通过实验测试,获取游戏玩家争夺爆破气球的数量、游戏触觉接口设备的可操作性以及游戏玩家的公平性等数据,并进行体验质量评估.结果表明:游戏的可操作性主要取决于网络从本地终端到另一终端的时延,公平性主...     

具备图形加速能力的嵌入式应用系统

本文结合Cirrus Logic公司新推出的基于ARM920T内核的EP9315处理器芯片和嵌入式Linux操作系统，开发了一个具备硬件图形加速能力的嵌入式图形应用平台，在此平台上可进行流媒体、MPEG2、MPEG4、游戏机等多媒体业务的开发，对进一步开发嵌入式消费类电子和信息家电产品具有重要的意义。     

Analysis of the Smart Player’s Impact on the Success of a Team Empowered with Machine Learning

The innovation and development in data science have an impact in all trades of life. The commercialization of sport has encouraged players, coaches, and other concerns to use technology to be in better position than r their opponents. In the past, the focus was on improved training techniques for better physical performance. These days, sports analytics identify the patterns in the performance and highlight strengths and weaknesses of potential players. Sports analytics not only predict the performance of players in the near future but it also performs predictive modeling for a particular behavior of a player in the past. The impact of a smart player on the success of a team is always a big question mark before the start of a match. The fans always want to know performance analysis of these superstar players and they always are interested to get to know more about their favorite player and they always have high hopes from their favorite player. Machine learning (ML) based techniques help in predicting the performance of an individual player as well as for the whole team. The statistics are very vital and useful for management, fans, and expert analysis. In our proposed framework, the adaptive back propagation neural network (ABPNN) model is used for the prediction of a player’s performance. The data is collected from football websites, and the results are stored in the cloud for fast fetching of data. They can be retrieved anywhere in the world through cloud storage. The results are computed with 94% accuracy and the performance of the smart player is formulated for the success of a team.     

产品设计中的肤觉因素及设计表达

肤觉是人体感官机能中一个非常重要的部分,产品设计中更多地考虑肤觉因素的应用,能够更好地达到人与产品的情感交流,实现人与产品的互动体验。以肤觉为对象,从产品形态与美的角度探讨了触觉与温度觉在产品设计中的应用表达。     

嵌入式智能音乐播放系统的设计与实现

针对目前音乐播放系统的空间和时间受限问题,设计并实现了一种基于移动端的智能音乐播放系统。该系统由移动端软件APP和服务端两部分构成,服务端包括路由器、智能网络机顶盒和音响设备,具备定时播放和移动端实时控制播放的功能。该系统是采用基于STUN(Simple Traversal of User Datagram Protocol over NATs)的网络地址转换(Network Address Translation,NAT)穿透方式的远程控制以及家庭电视网络机顶盒来实现的。它不仅可以实现家庭音响的定时播放,还能通过移动端来远程控制音乐的播放。此外,可以实现歌曲的远程更新和歌曲播放时间的随意控制及更改。实验结果表明,该系统效果良好,具有广阔的应用前景及商业价值,可应用于家庭、商场、学校等有特定需求的环境。文章以家庭音乐播放系统为例进行设计说明。     

基于多权重Shapley值的联盟利益分配机制

利益分配机制是影响联盟合作成功的关键因素.传统的含权Shapley值模型在解决联盟利润分配问题时,仅从联盟整体的角度赋予成员单一的权重,而忽视了成员在不同联盟活动中可能存在议价能力和贡献的差异.为此,提出一种多权重Shapley值模型,以反映成员在多项联盟活动中的不同权重.通过对联盟合作对策进行Shapley等价分解,...     

The identification of model effective dimensions using global sensitivity analysis

It is shown that the effective dimensions can be estimated at reasonable computational costs using variance based global sensitivity analysis. Namely, the effective dimension in the truncation sense can be found by using the Sobol' sensitivity indices for subsets of variables. The effective dimension in the superposition sense can be estimated by using the first order effects and the total Sobol' sensitivity indices. The classification of some important classes of integrable functions based on their effective dimension is proposed. It is shown that it can be used for the prediction of the QMC efficiency. Results of numerical tests verify the prediction of the developed techniques.     

Production-distribution network design of a global supply chain alliance from the key player's perspective

A key player in a supply chain (SC) is the member who overlooks and leads others. Although it can compel its autonomous members to follow the planning of a production-distribution network (PDN), the key player has to create an environment in which the partnership with suppliers can also grow accordingly. Without the effective partnership, the efforts increase in managing and integrating the information and material flow across the PDN. Hence, while designing the PDN, the key player has to consider the constraint of the autonomous suppliers also seeking maximum profits as their business goals. In addition, to alleviate the impact of uncertainty on the PDN of a global SC, the strategy of alternative design features is incorporated in the PDN design model. In this paper, the problem for key player's PDN design with alternative design features (KPDN/ADF) is formulated as a bi-level programming problem. An extended genetic algorithm is proposed to solve the KPDN/ADF problem. The experiment results showed that the proposed algorithm can solve the problem satisfactorily. Furthermore, incorporating the product design strategy of alternative design features can make the key player's PDN have better profit under the uncertainty of the currency exchange rate. An illustrative global SC of personal computers/notebooks is also provided to demonstrate the applicability of the KPDN/ADF design model.